text:
@misc{nydot,
author={New York State, Department of Transportation},
title={{2004 TRAFFIC DATA REPORT FOR NEW YORK STATE}},
url={https://www.dot.ny.gov/divisions/engineering/technical-services/hds-respository/Traffic%20Data%20Report%202004.pdf},
year = 2004,
urldate={2018},
}

@misc{syracuse.com,
author={Opinion Editorials},
title={{More I-81 opinions: Urban renewal mistake; jobs, not parks; seek consensus}},
url={https://www.syracuse.com/opinion/index.ssf/2018/08/more_i-81_opinions_urban_renewal_mistake_jobs_not_parks_seek_consensus_your_lett.html},
year = 2018,
urldate={2018-17-08},
}

@misc{nydot2018,
author = {New York State, Department of Transportation},
title = {I-81 Viaduct About the Project},
url = {https://www.dot.ny.gov/i81opportunities/about},
year = 2018,
urldate={2018-17-08},
}

@misc{bim,
author = {Adam Strafaci},
title = {What Does BIM Mean for Civil Engineers?},
url = {https://csengineermag.com/article/what-does-bim-mean-for-civil-engineers/},
year = 2014,
urldate={2014-29-01},
}

@misc{mndot,
author = {Ken Johnson},
title = {Late Merge ... the Zipper Merge},
url = {http://www.dot.state.mn.us/trafficeng/workzone/doc/When-latemerge-zipper.pdf},
year = 2008,
note={2008-18-10},
}

@misc{5gaa,
author = {{5G Automotive Association}},
title = {Bridging the automotive and {ICT} industries},
url = {http://5gaa.org/about-5gaa/about-us/},
year = 2018,
urldate={2018-18-08},
}

@techreport{cmp2011,
title={Congestion Management Process: A Guidebook. Report N0. FHWA-HEP-11-011},
author={Michael Grant and Beverly Bowen and Matthew Day and Robert Winick and Jocelyn Bauer and Anna Chavis and Stephanie Trainor},
year={2011},
institution={Federal Highway Administration },
}

@article{albino,
title = {Smart Cities: Definitions, Performance and Initiatives},
journal = {Journal of Urban Technology},
author = {Vito Albino and Umberto Berardi and Rosa Maria Dangelico},
volume = {22},
number = {1},
year = {2015}
}

@article{Laflamme2018a,
title = {Estimation of Stochastic Traffic Capacity using Extreme Value Theory and Censoring},
journal = {European Transport Research Review},
author = {Eric Laflamme and Paul J. Ossenbruggen},
volume = {in review},
year = {2018}
}

@article{Laflamme2017,
title = {Effect of time-of-day and the day-of-the-week on congestion and breakdown: A Case Study at a Bottleneck in {S}alem, {NH}},
journal = {Journal of Transportation and Traffic Engineering},
author = {Laflamme, E. M. and Ossenbruggen, P. J.},
volume = 4,
number = 1,
year = 2017
}

@article{braess,
  author={D. Braess and A. Nagurney and T. Walkobinger},
  title={On the Paradox of traffic planning},
  journal={Transportation Science},
  volume={39},
  number={4},
  pages={446-450},
  year={2005},
  abstract={}
}

@article{Roughgarden:2002,
 author = {Roughgarden, Tim and Tardos, \'{E}va},
 title = {How Bad is Selfish Routing?},
 journal = {J. ACM},
 issue_date = {March 2002},
 volume = {49},
 number = {2},
 month = mar,
 year = {2002},
 issn = {0004-5411},
 pages = {236--259},
 numpages = {24},
 url = {http://doi.acm.org/10.1145/506147.506153},
 doi = {10.1145/506147.506153},
 acmid = {506153},
 publisher = {ACM},
 address = {New York, NY, USA},
 keywords = {Braess's Paradox, Nash equilibria, network flow, selfish routing},
}

@book{iacus,
	Author = {Stefano Iacus},
	Publisher = {Springer-Verlag},
	Title = {Simulation and Inference for Stochastic Differential Equations: With R Examples},
	Year = {2008}
}

@Manual{sde,
    title = {Simulation and Inference for Stochastic Differential Equations},
    author = {Stefano Maria Iacus},
    year = {2016},
    note = {R package version 2.0.15},
    url = {https://CRAN.R-project.org/package=sde},
  }

@misc{pjo2018gp,
  author = {Paul J Ossenbruggen},
  title = {GP},
  year = {2018},
  publisher = {GitHub},
  journal = {GitHub repository},
  howpublished = {\url{https://github.com/PJOssenbruggen/GP}}
}

@misc{pjo2018,
author = {Paul J Ossenbruggen},
title = {cartools: Tools for understanding highway performance},
url = {https://pjossenbruggen.github.io/cartools/index.html},
year = {2018},
urldate={2018-18-08},
}

@misc{cartools,
    title = {Tools for understanding highway performance},
    author = {Paul J Ossenbruggen},
    year = {2018},
    note = {R package version 2.0.15},
    url = {https://CRAN.R-project.org/package=cartools},
  }

@article{1367-2630-10-3-033001,
  author={Yuki Sugiyama and Minoru Fukui and Macoto Kikuchi and Katsuya Hasebe and Akihiro Nakayama and Katsuhiro
Nishinari and Shin-ichi Tadaki and Satoshi Yukawa},
  title={Traffic jams without bottlenecks—experimental evidence for the physical mechanism of the formation of a jam},
  journal={New Journal of Physics},
  volume={10},
  number={3},
  pages={033001},
  url={http://stacks.iop.org/1367-2630/10/i=3/a=033001},
  year={2008},
  abstract={A traffic jam on a highway is a very familiar phenomenon. From the physical viewpoint, the system of vehicular flow is a non-equilibrium system of interacting particles (vehicles). The collective effect of the many-particle system induces the instability of a free flow state caused by the enhancement of fluctuations, and the transition to a jamming state occurs spontaneously if the average vehicle density exceeds a certain critical value. Thus, a bottleneck is only a trigger and not the essential origin of a traffic jam. In this paper, we present the first experimental evidence that the emergence of a traffic jam is a collective phenomenon like 'dynamical' phase transitions and pattern formation in a non-equilibrium system. We have performed an experiment on a circuit to show the emergence of a jam with no bottleneck. In the initial condition, all the vehicles are moving, homogeneously distributed on the circular road, with the same velocity. The average density of the vehicles is prepared for the onset of the instability. Even a tiny fluctuation grows larger and then the homogeneous movement cannot be maintained. Finally, a jam cluster appears and propagates backward like a solitary wave with the same speed as that of a jam cluster on a highway.}
}

@inproceedings{pjo2017,
    author = {Paul J. Ossenbruggen},
    title = {A Diffusion Model to Explain and Forecast Freeway Breakdown and Delay},
    year  = {2017},
    booktitle = {5th I{E}{E}{E} International Conference on Models and Technologies for Intelligent Transportation Systems},
    publisher = {IEEE},
    address = {Naples, Italy}
}

@inproceedings{tarnoff,
    author = { Phillip Tarnoff and Darcy M.  Bullock and Stanley E. Young },
    title = {Continuing Evolution of Travel Time Data Information Collection and Processing},
    year  = {2009},
    booktitle = {Transportation Research Board Annual Meeting 2009 Paper 09-2030 TRB 88th Annual Meeting Compendium of Papers DVD},
    publisher = {TRB},
    address = {Washington, DC}
}

@book{deganzo:1997,
	Author = {Carlos F. Daganzo},
	Publisher = {Permagon},
	Title = {Fundamentals of Transportation and Traffic Operations},
	Year = {1997}}

@book{banks:1998,
	Author = {James A. Banks},
	Publisher = {McGraw-Hill},
	Title = {Introduction to Transportation Engineering},
	Year = {1998}}

@book{vandaele:1983,
	Author = {Walter Vandeale},
	Publisher = {Academic Press},
	Title = {Applied Time Series and Box-Jenkins Models},
	Year = {1983}}

@book{agresti:1990,
	Author = {Alan Agresti},
	Publisher = {John Wiley & Sons},
	Title = {Categorical Data Analysis},
	Year = {1990}}

@book{trieber,
	Author = {Martin Trieber and Arne Kesting},
	Publisher = {Springer},
	Title = {Traffic Flow Dynamics: Data, Models and Simulation},
	Year = {2013}}

@BOOK{LiliBook,
    AUTHOR       = "Lily Elefteriadou",
    EDITOR       = "",
    TITLE        = "An Introduction to Traffic Flow Theory",
    PUBLISHER    = "Springer",
    ADDRESS      = "New York, New York",
    YEAR         = "2014",
    EDITION      = "",
    NOTE         = "",
    }

@book{hosmer,
	Author = {David W. Hosmer and Stanley Lemeshow},
	Publisher = {John Wiley & Sons},
	Title = {Applied Logistic Regression},
	Year = {1989}}

@Manual{cran,
     title = {R: A Language and Environment for Statistical Computing},
     author = {{R Core Team}},
     organization = {R Foundation for Statistical Computing},
     address = {Vienna, Austria},
     year = {2014},
     url = {http://www.R-project.org/},
   }

@Book{wickham,
    author = {Hadley Wickham},
    title = {Elegant Graphics for Data Analysis},
    publisher = {Springer-Verlag New York},
    year = {2016},
    isbn = {978-0-387-98140-6},
    url = {http://ggplot2.org},
  }

@manual{shiny,
  title={shiny: Easy web applications in R},
  author={{RStudio, Inc}},
  year={2014},
  note={URL: \url{http://shiny.rstudio.com}}
}

@BOOK{mannering,
    AUTHOR       = "Fred L Mannering and Scott S Washburn",
    EDITOR       = "",
    TITLE        = "Highway Engineering and Traffic Analysis",
    PUBLISHER    = "John Wiley & Sons",
    ADDRESS      = "New York, New York",
    YEAR         = "2017",
    EDITION      = "Sixth Edition",
    NOTE         = "",
    }

@BOOK{vanderbilt,
    AUTHOR       = "Tom Vanderbilt",
    EDITOR       = "",
    TITLE        = "Traffic, Why We Drive the Way We Do",
    PUBLISHER    = "Alfred A. Knopf",
    ADDRESS      = "New York",
    YEAR         = "2008",
    EDITION      = "",
    NOTE         = "",
    }

@BOOK{lupo,
    AUTHOR       = "Alan Lupo and Frank Colcord and Edmund P Fowler",
    EDITOR       = "",
    TITLE        = "Rites of Way, {T}he Politics of Transportation in Boston and the U. S. City",
    PUBLISHER    = "Little, Brown and Company",
    ADDRESS      = "Boston",
    YEAR         = "1971",
    EDITION      = "",
    NOTE         = "",
    }

@BOOK{box,
    AUTHOR       = "George E Box and William G Hunter and J Stuart Hunter",
    EDITOR       = "",
    TITLE        = "Statistics for Experimenters",
    PUBLISHER    = "John Wiley & Sons",
    ADDRESS      = "New York",
    YEAR         = "1978",
    EDITION      = "",
    NOTE         = "",
    }

    @book{HCM2000,
  added-at = {2012-04-13T20:28:54.000+0200},
  address = {Washington, D.C.},
  author = {{TRB}},
  biburl = {https://www.bibsonomy.org/bibtex/2bbb70be9a1551962d9b139e641dfe539/aude.hofleitner},
  groups = {public},
  interhash = {bab2ee6185f522366254bea7be6b6799},
  intrahash = {bbb70be9a1551962d9b139e641dfe539},
  key = {TRB},
  keywords = {},
  publisher = {Transportation Research Board, National Research Council},
  timestamp = {2012-04-13T20:28:54.000+0200},
  title = {Highway Capacity Manual},
  username = {aude.hofleitner},
  year = 2000
}

@BOOK{freedman,
    AUTHOR       = "David Freedman and Robert Pisani and Roger Purves",
    EDITOR       = "",
    TITLE        = "Statistics",
    PUBLISHER    = "W. W. Norton $\&$ Company",
    ADDRESS      = "New York",
    YEAR         = "1998",
    EDITION      = "Third",
    NOTE         = "",
    }

@article{CASTILLO2001367,
title = "Propagation of perturbations in dense traffic flow: a model and its implications",
journal = "Transportation Research Part B: Methodological",
volume = "35",
number = "4",
pages = "367 - 389",
year = "2001",
issn = "0191-2615",
doi = "https://doi.org/10.1016/S0191-2615(99)00055-7",
url = "http://www.sciencedirect.com/science/article/pii/S0191261599000557",
author = "Jose M.del Castillo",
abstract = "A model of the evolution of speed perturbations in dense traffic flow is presented in this work. Traffic volume is assumed to be at capacity and a given vehicle undergoes a temporary speed drop. This speed drop may propagate through the traffic flow until it is either dissipated or causes the stoppage of the traffic flow. The two events are random and occur with a certain probability. The proposed model leads to a set of recurrence equations for the speed drop and its duration. The simulation of those equations allows the estimation of the normalization probability, that is, the probability that the perturbation vanishes. An analytical approximation for the normalization probability is also proposed. The approximation is based on a result from Brownian motion theory. The agreement with the simulation results is fairly good given the simplicity of the approximation. The model and its analytical approximation allows one to conjecture which could be the most important parameters that determine the evolution of the perturbation. The implications of this conjecture are commented and the assumptions of the model are contrasted with related work."
}

@article{HU2018254,
title = "Flexible capacity planning for engineering systems based on decision rules and differential evolution",
journal = "Computers & Industrial Engineering",
volume = "123",
pages = "254 - 262",
year = "2018",
issn = "0360-8352",
doi = "https://doi.org/10.1016/j.cie.2018.06.035",
url = "http://www.sciencedirect.com/science/article/pii/S0360835218303139",
author = "Junfei Hu and Peng Guo and Kim Leng Poh",
keywords = "Capacity planning, Flexibility, Decision rule, Differential evolution, Engineering systems",
abstract = "This paper proposes a novel approach to managing capacity planning flexibility in engineering systems based on decision rules and differential evolution (DE) algorithm. A multi-stage capacity expansion problem is formalized based on a decision rule representation. The formalized model can analyze multiple sources of uncertainty simultaneously (e.g., changes in demand and material price) and explicitly consider design principles like economies of scale and learning effect. An evolutionary decision rule optimization framework based on the DE algorithm is proposed to automatically optimize the decision rule for capacity planning. Compared to traditional capacity planning models (e.g., stochastic programming), this work is able to offer a flexible capacity plan under uncertainty assumptions at the system design stage. The output of our approach is a decision rule that provides thresholds/conditions for decision-makers to adaptively adjust decisions at the system deployment stage. In the application of capacity planning for a waste-to-energy system, experimental results show that the decision rules generated by our approach offer a 20 percent improvement in terms of expected net present value, compared to a fixed capacity plan generated by stochastic programming."
}

@article{ABDELRAZEQ201526,
title = "Model verification for Levy-driven OrnsteinUhlenbeck processes with estimated parameters",
journal = "Statistics & Probability Letters",
volume = "104",
pages = "26 - 35",
year = "2015",
issn = "0167-7152",
doi = "https://doi.org/10.1016/j.spl.2015.04.014",
url = "http://www.sciencedirect.com/science/article/pii/S0167715215001248",
author = "Ibrahim Abdelrazeq",
keywords = "LÃ©vy process, Sampled process, Model verification, Estimated parameters, Test statistics, Sample correlation",
abstract = "When an OrnsteinâUhlenbeck (or CAR(1)) process is observed at discrete times 0, h, 2h, âŠ[T/h]h, the unobserved driving process can be approximated from the observed process. Approximated increments of the driving process are used to test the assumption that the process is LÃ©vy-driven. Asymptotic behavior of the test statistic at high sampling frequencies is developed in Abdelrazeq et al. (2014) assuming that the model parameters a,Ï are known. Here we explore the performance of the test statistic when the model coefficient a is unknown and must be estimated. The parameter Ï can be assumed to be one. We will show the consistency and asymptotic normality of our proposed estimator and then demonstrate its effect on the asymptotic behavior of the test statistic. Performance of the proposed test with estimated a is illustrated through simulation."
}

@article{OU2018105,
title = "A car-following model accounting for probability distribution",
journal = "Physica A: Statistical Mechanics and its Applications",
volume = "505",
pages = "105 - 113",
year = "2018",
issn = "0378-4371",
doi = "https://doi.org/10.1016/j.physa.2018.03.072",
url = "http://www.sciencedirect.com/science/article/pii/S0378437118303741",
author = "Hui Ou and Tie-Qiao Tang and Jian Zhang and Jie-Ming Zhou",
keywords = "Car-following model, Perceived error, Probability distribution",
abstract = "Various stochastic factors (e.g., the driverâs individual properties) widely exist in the real traffic system, but the existing studies cannot completely describe the impacts of various stochastic factors on traffic flow (especially the driving behavior). In this paper, we introduce the driverâs three perceived errors into the car-following model, and construct a car-following model with the probability distributions of the three perceived errors to explore the effects of the three perceived errors on the driving behavior under three typical situations (i.e., uniform flow, shock and rarefaction waves, and a small perturbation). The numerical results show that the three perceived errors have significant impacts on the evolution of traffic flow (including the headway distribution), i.e., the distribution of density does not prominently change under the three traffic states. In addition, the impacts are directly related to the initial condition. The results can help drivers reasonably adjust their driving behaviors based on their current traffic state (especially when some stochastic factors exist)."
}

@article{WEITS1992115,
title = "Stationary freeway traffic flow modelled by a linear stochastic partial differential equation",
journal = "Transportation Research Part B: Methodological",
volume = "26",
number = "2",
pages = "115 - 126",
year = "1992",
issn = "0191-2615",
doi = "https://doi.org/10.1016/0191-2615(92)90002-E",
url = "http://www.sciencedirect.com/science/article/pii/019126159290002E",
author = "Ello Weits",
abstract = "A stochastic model of stationary high density freeway traffic flow is presented. The high density assumption implies the choice of a macroscopic model. The assumption of stationarity allows us to linearize the model equations, but at the same time leads us to adding an appropriate stochastic term to the equation obtained from linearizing the original equations. The result is an infinite-dimensional stochastic differential equation describing the evolution of R(t,x). R(t,x) is the deviation of the density around some fixed value at time t and location x. R(t,x) is a stationary Gaussian process, if the initial value is suitably chosen. The process R(t,x) is determined by three parameters. Knowledge of these parameters may enable the traffic engineer to characterize the traffic stream as homogeneous or inhomogeneous. The model is tested with data measured on a Dutch freeway."
}

@article{GALTIER2012167,
title = "On an explicit representation of the solution of linear stochastic partial differential equations with delays",
journal = "Comptes Rendus Mathematique",
volume = "350",
number = "3",
pages = "167 - 172",
year = "2012",
issn = "1631-073X",
doi = "https://doi.org/10.1016/j.crma.2012.01.004",
url = "http://www.sciencedirect.com/science/article/pii/S1631073X12000052",
author = "Mathieu Galtier and Jonathan Touboul",
abstract = "Based on the analysis of a certain class of linear operators on a Banach space, we provide a closed form expression for the solutions of certain linear partial differential equations with non-autonomous input, time delays and stochastic terms, which takes the form of an infinite series expansion.
RÃ©sumÃ©
En se basant sur lÊŒanalyse dÊŒune certaine classe dÊŒopÃ©rateurs linÃ©raires dans des espaces de Banach, nous Ã©tablissons une expression analytique pour la solution de certaines Ã©quations aux dÃ©rivÃ©es partielles linÃ©aires avec des entrÃ©es non-autonomes, des dÃ©lais et des termes stochastique, sous la forme dÊŒun dÃ©veloppement en sÃ©rie."
}

@article{SMULDERS1990221,
title = "Application of Stochastic Control Concepts to a Freeway Traffic Control Problem1",
journal = "IFAC Proceedings Volumes",
volume = "23",
number = "2",
pages = "221 - 227",
year = "1990",
note = "IFAC/IFIP/IFORS Symposium on Control, Computers, Communications in Transportation, Paris, France, 19-21 September",
issn = "1474-6670",
doi = "https://doi.org/10.1016/S1474-6670(17)52674-9",
url = "http://www.sciencedirect.com/science/article/pii/S1474667017526749",
author = "S.A. Smulders",
keywords = "Modelling, nonlinear filtering, stochastic control, road traffic, traffic control",
abstract = "In the Netherlands a freeway control and signalling system has been installed on several freeways some years ago. The system consists of induction loops embedded in the road surface and matrix signal boards mounted on gantries. The matrix boards may be used to display speed signals to the drivers. In this paper we investigate the control problem of choosing suitable speed values, with the aim of reducing the probability of congestion. A model for freeway traffic is presented that performs realistically in several basic traffic situations. An estimation algorithm or filter is derived that estimates the state of traffic at any time moment, using the measurements available from the signalling system. The filter is tested against simulated and against real traffic data and shown to behave satisfactorily. Finally, a control policy is designed for the speed signals. The design criterion is the expected total throughput of the freeway until congestion occurs. The optimal policy turns out to consist of switching on or off the control as the traffic density crosses specific switching levels."
}

@article{MAHNKE20051,
title = "Probabilistic description of traffic flow",
journal = "Physics Reports",
volume = "408",
number = "1",
pages = "1 - 130",
year = "2005",
issn = "0370-1573",
doi = "https://doi.org/10.1016/j.physrep.2004.12.001",
url = "http://www.sciencedirect.com/science/article/pii/S0370157304005095",
author = "R. Mahnke and J. Kaupuays and I. Lubashevsky",
keywords = "Stochastic processes, Transportation, Master equation, Cluster formation, Traffic breakdown, Nucleation, Phase transition",
abstract = "A stochastic description of traffic flow, called probabilistic traffic flow theory, is developed. The general master equation is applied to relatively simple models to describe the formation and dissolution of traffic congestions. Our approach is mainly based on spatially homogeneous systems like periodically closed circular rings without on- and off-ramps. We consider a stochastic one-step process of growth or shrinkage of a car cluster (jam). As generalization we discuss the coexistence of several car clusters of different sizes. The basic problem is to find a physically motivated ansatz for the transition rates of the attachment and detachment of individual cars to a car cluster consistent with the empirical observations in real traffic. The emphasis is put on the analogy with first-order phase transitions and nucleation phenomena in physical systems like supersaturated vapour. The results are summarized in the fluxâdensity relation, the so-called fundamental diagram of traffic flow, and compared with empirical data. Different regimes of traffic flow are discussed: free flow, congested mode as stop-and-go regime, and heavy viscous traffic. The traffic breakdown is studied based on the master equation as well as the FokkerâPlanck approximation to calculate mean first passage times or escape rates. Generalizations are developed to allow for on-ramp effects. The calculated fluxâdensity relation and characteristic breakdown times coincide with empirical data measured on highways. Finally, a brief summary of the stochastic cellular automata approach is given."
}

@article{KISH2000271,
title = "Flows of cars and neural spikes enhanced by colored noise",
journal = "Physics Letters A",
volume = "266",
number = "4",
pages = "271 - 275",
year = "2000",
issn = "0375-9601",
doi = "https://doi.org/10.1016/S0375-9601(00)00058-X",
url = "http://www.sciencedirect.com/science/article/pii/S037596010000058X",
author = "Laszlo B. Kish and Sergey M. Bezrukov",
abstract = "The problem of interaction between cars at road junctions has been studied for a long time. It is well-known that the interaction generally decreases the traffic efficiency and that randomness in the car flow can help cross-junction traffic efficiency. We show that proper long-range correlations in the flow noise, related to 1/f-like noises, provide superior traffic properties as compared to Poissonian or periodic car traffic. Moreover, a stochastic resonance phenomenon sensitive to the shape of the spectrum occurs. By a small modification, the model can be made relevant for neuronal spike traffic. Spike trains generated by Gaussian 1/f noise show superior spike traffic properties and efficiency of information transfer."
}

@article{VODOPIVEC201722,
title = "An optimal stopping approach to managing travel-time uncertainty for time-sensitive customer pickup",
journal = "Transportation Research Part B: Methodological",
volume = "102",
pages = "22 - 37",
year = "2017",
issn = "0191-2615",
doi = "https://doi.org/10.1016/j.trb.2017.04.017",
url = "http://www.sciencedirect.com/science/article/pii/S0191261516306464",
author = "NeÅŸa Vodopivec and Elise Miller-Hooks",
keywords = "On-line routing, Optimal stopping, Stochastic travel times, Dial-a-ride",
abstract = "In dynamic vehicle routing, it is common to respond to real-time information with immediate updates to routes and fleet management. However, even if routes are updated continuously, in practice, some decisions once made are difficult to reverse. At times, it may thus be valuable to wait for additional information before acting on a decision. We use the theory of optimal stopping to determine the optimal timing of a recourse action when vehicles are likely to miss customer deadlines due to travel-time stochasticities and backup services are available. The factors involved in making this decision â that is, the likelihood that the primary vehicle will arrive late, the location of the backup vehicle, and value of waiting for additional travel-time information â each change dynamically over time. We develop a recourse model that accounts for this complexity. We formulate the optimal recourse policy as a stochastic dynamic program. Properties of the optimal policy are derived analytically, and its solution is approximated with a binomial lattice method used in the pricing of American options. Finally, we develop a two-stage stochastic optimization approach to show how the opportunity to take recourse dynamically might be integrated into a priori scheduling and routing. The framework is demonstrated for a stochastic dial-a-ride application in which taxis serve as backup to ridesharing vehicles."
}

@article{WAGNER20121384,
title = "Analyzing fluctuations in car-following",
journal = "Transportation Research Part B: Methodological",
volume = "46",
number = "10",
pages = "1384 - 1392",
year = "2012",
issn = "0191-2615",
doi = "https://doi.org/10.1016/j.trb.2012.06.007",
url = "http://www.sciencedirect.com/science/article/pii/S0191261512000914",
author = "Peter Wagner",
keywords = "Time headway distribution, Speed-difference distribution, Stochasticity of traffic flow, Driver heterogeneity, Microscopic modeling, Car-following",
abstract = "Many car-following models predict a stable car-following behavior with a very small fluctuation around an equilibrium value gâ of the net headway g with zero speed-difference Îv between the following and the lead vehicle. However, it is well-known and additionally demonstrated by data in this paper, that the fluctuations are much larger than these models predict. Typically, the fluctuation in speed difference is around Â±2m/s, while the fluctuation in the net time headway T=g/v can be as big as one or even two seconds, which is as large as the mean time headway itself. By analyzing data from loop detectors as well as data from vehicle trajectories, evidence is provided that this randomness is not due to driver heterogeneity, but can be attributed to an internal stochasticity of the driver itself. A final model-based analysis supports the hypothesis, that the preferred headway of the driver is the parameter that is not kept constant but fluctuates strongly, thus causing the even macroscopically observable randomness in traffic flow."
}

@article{KENDZIORRA2016198,
title = "A Stochastic Car Following Model",
journal = "Transportation Research Procedia",
volume = "15",
pages = "198 - 207",
year = "2016",
note = "International Symposium on Enhancing Highway Performance (ISEHP), June 14-16, 2016, Berlin",
issn = "2352-1465",
doi = "https://doi.org/10.1016/j.trpro.2016.06.017",
url = "http://www.sciencedirect.com/science/article/pii/S2352146516305464",
author = "Andreas Kendziorra and Peter Wagner and Tomer Toledo",
keywords = "traffic simulation, car following models, traffic safety",
abstract = "Car-following models are an essential part of microscopic traffic simulations. For research regarding traffic safety, traffic simulations need to simulate traffic safety related aspects realistically. That means, for example, accidents and near accidents shall occur in the same quantity and in the same way as in reality. Such simulations can be used to make statements about traffic safety with respect to traffic influencing factors and conditions. However, most car-following models are deterministic and do not incorporate uncertainty and fluctuations of perception and behavior. Also, they are explicitly conflict free. Therefore, they are unsuitable for simulating traffic in the desired way. For that reason, a car following model fulfilling the requirements above was developed. Inspired by [1], our car-following model is nondeterministic and data-driven. It is based on the data set of the Intelligent Cruise Control Field Operational Test [2], in which instrumented vehicles have been used by 108 voluntary drivers for several weeks yielding trajectories of approximately 88,000 driving kilometres. In our model, the acceleration a of a vehicle depends on the following input: -v, the velocity of the vehicle, -âv, the difference between the velocity of the preceding vehicle and its own velocity, -g, the gap between the vehicle and the preceding vehicle and -aL, the acceleration of the preceding vehicle. The acceleration a underlies a probability distribution that depends on v, âv, g and aL. That means, if v*, âv*, g* and aL* are the current values for v, âv, g and aL, then there exist a probability distribution F(v*,âv*,g*,aL*) and the actual acceleration a will be drawn from F(v*,âv*,g*,aL*). For each tuple (v,âv,g,aL), the probability distribution F(v,âv,g,aL) was determined by the data of the FOT. For that, the data of velocity, velocity difference, gap and acceleration of the preceding vehicle were binned, and for each tuple (v,âv,g,aL) of binned values, the expected acceleration, the variance and the type of distribution were computed and stored in look-up tables. During a simulation, the probability distribution F(v,âv,g,aL) to a given tuple (v,âv,g,aL) can be recovered by these look-up tables. To achieve probability distributions that result in a well behaving car-following model, the data had to be corrected (due to erroneous sensor data) and filtered (due to situations in which the driver reacted to other influences besides the preceding vehicle, e.g. red traffic lights) in numerous steps. Here, we will present the mentioned correction and filtering steps in detail. Further, we will discuss the derived probability distributions and the calibration of the model. Finally, the model will be evaluated and compared to other existing car-following models in several scenarios with respect to various criteria, e.g. the number of accidents, the distribution of surrogate safety measures, and the fundamental diagram."
}


text:
require bug-app.inc

DESCRIPTION = "h2. DC Motor Controller\
This library provides an OSGi service that wraps DC motor controllers for access by other applications. That opens the door for generic motor control applications using the accelerometer, web services, robot logic etc. \
The interface is *IContinuousMotorControlProvider*, which provides for relative control of the motor as a percentage of the maximum supply voltage, and the motor runs continuously once a velocity is set. \
h2. Supported Controllers.\
* 'Sabertooth 2x5A':http://www.dimensionengineering.com/Sabertooth2X5.htm\
* 'Sabertooth 2x10A':http://www.dimensionengineering.com/Sabertooth2X10.htm\
* 'Sabertooth 2x25A':http://www.dimensionengineering.com/Sabertooth2X25.htm\
* 'SyRen 10A':http://www.dimensionengineering.com/SyRen10.htm\
* 'SyRen 25A':http://www.dimensionengineering.com/SyRen25.htm\
"
HOMEPAGE = "http://buglabs.net/applications/ContinuousMotorController"

DEPENDS += "com.buglabs.osgi com.buglabs.common service-tracker com.buglabs.bug.module.vonhippel "

PV = "3"

SRC_LINK = "http://buglabs.net/program_version/download/526"

APIVERSION = ""

license: MIT

repository: overo/overo-oe-natty

license_type: permissive

repo_name: overo/overo-oe-natty

branch_name: HEAD

extension: bb


text:
@inproceedings{cdc94,
 address = {Orlando},
 author = {C. Theys and A. Ferrari and G. Alengrin},
 booktitle = {IEEE Conference on Decision and Control},
 pages = {753--755},
 title = {Detection and Estimation of Simultaneous Multiple Phase or
Amplitude Jumps in Noisy Sinusoidal Processes},
 year = {1994}
}

repository: andferrari/academic-kickstart

repo_name: andferrari/academic-kickstart

branch_name: refs/heads/master

gha_license_id: MIT

extension: bib


text:
@inproceedings{lee2018hallucinations,
  author    = {Lee, Katherine and Firat, Orhan and Agarwal, Ashish and Fannjiang, Clara and Sussillo, David},
  title     = {{Hallucinations in neural machine translation}},
  year      = {2018},
  booktitle = {Workshop on Interpretability and Robustness for Audio, Speech, and Language at NeurIPS},
}


text:
SUMMARY          = "Install cryptsetup files for LUKS encryption"
DESCRIPTION      = "Install cryptsetup files for LUKS encryption"
LICENSE          = "MIT"
LIC_FILES_CHKSUM = "file://${COMMON_LICENSE_DIR}/MIT;md5=0835ade698e0bcf8506ecda2f7b4f302"

SRC_URI         += "file://crypttab"
FILES_${PN}      = "                            \
                     ${sysconfdir}/crypttab     \
                     ${MENDER/LUKS_KEY_FILE}    \
                     ${MENDER/LUKS_HEADER_DIR}/ \
                   "

DEPENDS         += "                   \
                     coreutils-native  \
                     cryptsetup-native \
                   "

do_install() {
    ############################################################################
    # LUKS keyfile in persistent storage (encrypted partition)
    ############################################################################
    install -d -m 400                              ${D}$(dirname ${MENDER/LUKS_KEY_FILE})
    echo    -n "${MENDER/LUKS_PASSWORD}" > ${WORKDIR}/$(basename ${MENDER/LUKS_KEY_FILE})
    install    -m 400                      ${WORKDIR}/$(basename ${MENDER/LUKS_KEY_FILE}) ${D}${MENDER/LUKS_KEY_FILE}

    ############################################################################
    # create /etc/crypttab
    ############################################################################
    install -d                          ${D}${sysconfdir}
    install -m 0644 ${WORKDIR}/crypttab ${D}${sysconfdir}

    echo "${MENDER/LUKS__DATA__PART___DM_NAME} ${MENDER_DATA_PART}     none ${MENDER/LUKS_CRYPTTAB_OPTS},header=${MENDER/LUKS__DATA__PART___HEADER}"  > ${D}${sysconfdir}/crypttab
    echo "${MENDER/LUKS_ROOTFS_PART_A_DM_NAME} ${MENDER_ROOTFS_PART_A} none ${MENDER/LUKS_CRYPTTAB_OPTS},header=${MENDER/LUKS_ROOTFS_PART_A_HEADER}" >> ${D}${sysconfdir}/crypttab
    echo "${MENDER/LUKS_ROOTFS_PART_B_DM_NAME} ${MENDER_ROOTFS_PART_B} none ${MENDER/LUKS_CRYPTTAB_OPTS},header=${MENDER/LUKS_ROOTFS_PART_B_HEADER}" >> ${D}${sysconfdir}/crypttab

    #FIXME - extra parts to encrypt?

    if [ "${MENDER_SWAP_PART_SIZE_MB}" -ne "0" ]; then
      #FIXME - swap needs to be tested?
      echo "${MENDER/LUKS__SWAP__PART___DM_NAME}    LABEL=swap    /dev/urandom    swap"  >> ${D}${sysconfdir}/crypttab
    fi

    ############################################################################
    # create LUKS headers
    ############################################################################
    install -d -m 755                 ${D}$(dirname ${MENDER/LUKS__DATA__PART___HEADER})
    mender_luks_create_header ${WORKDIR}/$(basename ${MENDER/LUKS__DATA__PART___HEADER})
    install    -m 0664        ${WORKDIR}/$(basename ${MENDER/LUKS__DATA__PART___HEADER}) ${D}${MENDER/LUKS_HEADER_DIR}/

    install -d -m 755                 ${D}$(dirname ${MENDER/LUKS_ROOTFS_PART_A_HEADER})
    mender_luks_create_header ${WORKDIR}/$(basename ${MENDER/LUKS_ROOTFS_PART_A_HEADER})
    install    -m 0664        ${WORKDIR}/$(basename ${MENDER/LUKS_ROOTFS_PART_A_HEADER}) ${D}${MENDER/LUKS_HEADER_DIR}/

    install -d -m 755                 ${D}$(dirname ${MENDER/LUKS_ROOTFS_PART_B_HEADER})
    mender_luks_create_header ${WORKDIR}/$(basename ${MENDER/LUKS_ROOTFS_PART_B_HEADER})
    install    -m 0664        ${WORKDIR}/$(basename ${MENDER/LUKS_ROOTFS_PART_B_HEADER}) ${D}${MENDER/LUKS_HEADER_DIR}/

    #FIXME - extra parts to encrypt?
}

################################################################################
mender_luks_create_header() {
  if [ -z "$1" ]; then
    bbfatal "mender_luks_create_header(): must pass a valid filename"
  fi

  local HEADER="$1"
  local LUKS_TMP_FS="tmp.luks"
  local LUKS_KEYFILE="passwd.luks"

  rm -fr "${HEADER}"

  dd if=/dev/zero of=${LUKS_TMP_FS} bs=1M count=512

  echo -n "${MENDER/LUKS_PASSWORD}" > "${LUKS_KEYFILE}"

  cryptsetup ${MENDER/LUKS_CRYPTSETUP_OPTS_SPECS} \
      --key-file "${LUKS_KEYFILE}"                \
      --header   "${HEADER}"                      \
      luksFormat "${LUKS_TMP_FS}"

  shred -fu "${LUKS_TMP_FS}"
  shred -fu "${LUKS_KEYFILE}"
}

repository: hzappen/meta-mender-luks

repo_name: hzappen/meta-mender-luks


text:
macro (local_extern cur_dir )
    add_external_submodule( "${cur_dir}/extern/gbpSID" "gbpSID" "README.md" TRUE)
endmacro()

repository: gbpoole/gbpCode

repo_name: gbpoole/gbpCode

gha_language: C

extension: cmake


text:
string(TOUPPER "${YOTTA_MODULE_NAME}" upper_name)
string(REPLACE "-" "_" under_name "${upper_name}")

if(${YOTTA_CFG_DEBUG_OPTIONS_COVERAGE_MODULES_${under_name}})
    message("Code coverage enabled on ${YOTTA_MODULE_NAME}")
    get_property(s TARGET ${YOTTA_MODULE_NAME} PROPERTY COMPILE_FLAGS SET)
    if(${s})
        get_target_property(flags ${YOTTA_MODULE_NAME} COMPILE_FLAGS)
    endif()
    set_target_properties(${YOTTA_MODULE_NAME} PROPERTIES COMPILE_FLAGS "${flags} -fprofile-arcs -ftest-coverage -fprofile-dir=.")
endif()

repository: ARMmbed/target-mbed-gcc

repo_name: ARMmbed/target-mbed-gcc

gha_language: CMake


text:
@PATENT{Lu2013,
  author = {Hao Lu and Shi Xia Liu and Martin Wattenberg and Xi Jun Ma},
  title = {Constructing a {Labeled Treemap} with Balanced Layout},
  number = {US 8443281 B2},
  year = {2013},
  abstract = {The present invention provides a method and system for constructing a labeled treemap with balanced layout. A range of possible densities of leaf nodes based on designated weights of the leaf nodes and a designated treemap region is determined. A range of possible densities is then searched for a density that could be fitted on and a labeled treemap that could fit on the density. The labeled treemap is presented on a specified display region. By introducing the concept of density into labeled treemap, the present invention ensures the area of region occupied by each leaf node in the constructed labeled treemap is approximately corresponding to the weight of the node, and avoids the case of invisible leaf node in a treemap.},
  url = {http://www.freepatentsonline.com/8443281.html}
}

repository: vis-au/treevisnet

repo_name: vis-au/treevisnet

gha_language: TeX


text:
@article{Leiserson2013,
abstract = {Genome-wide association studies (GWAS) identify genetic variants that distinguish a control population from a population with a specific trait. Two challenges in GWAS are: (1) identification of the causal variant within a longer haplotype that is associated with the trait; (2) identification of causal variants for polygenic traits that are caused by variants in multiple genes within a pathway. We review recent methods that use information in protein-protein and protein-DNA interaction networks to address these two challenges.},
author = {Leiserson, Mark Dm and Eldridge, Jonathan V and Ramachandran, Sohini and Raphael, Benjamin J},
doi = {10.1016/j.gde.2013.09.003},
issn = {1879-0380},
journal = {Current opinion in genetics \& development},
month = nov,
number = {Figure 1},
pages = {1--9},
pmid = {24287332},
publisher = {Elsevier Ltd},
title = {{Network analysis of GWAS data.}},
url = {http://www.ncbi.nlm.nih.gov/pubmed/24287332},
year = {2013}
}

repository: mdml/mdml-website

repo_name: mdml/mdml-website

gha_language: CSS


text:
inherit obmc-phosphor-python-autotools
include sdbus++.inc

SRC_URI += "file://0001-Revert-sdbus-switch-to-python3.patch"

# Provide these aliases temporarily until everyone can move over to the
# new package name.
PROVIDES_class-native += "sdbusplus-native sdbus++-native"
PROVIDES_class-nativesdk += "sdbusplus-nativesdk sdbus++-nativesdk"

# If anyone wanted the sdbus++ executable, make them use the python3 version.
# This avoids issues where both packages attempt to install the executable
# into /usr/bin.
DEPENDS += "python3-sdbus++-native"
do_install_append() {
    rm ${D}${bindir}/sdbus++
    rmdir ${D}${bindir} || true
}

repository: leilanon/openbmc

repo_name: leilanon/openbmc


text:
* {
  padding: 0;
  margin: 0;
  font-size: 35px;
  font-family: 'Roboto', sans-serif;
  font-weight: 900;
}

* .wishText {
  font-size: 40px;
  font-family: 'Pacifico', cursive;
  animation: wishText 2000ms linear 0s infinite;
}

@keyframes wishText {
  0% {
    color: #f00;
  }
  10% {
    color: #ff0;
  }
  20% {
    color: #fff;
  }
  30% {
    color: #0f0;
  }
  40% {
    color: #ff0;
  }
  50% {
    color: #0ff;
  }
  60% {
    color: #fff;
  }
  70% {
    color: #00f;
  }
  80% {
    color: #f0f;
  }
  90% {
    color: #ff0;
  }
  100% {
    color: #fff;
  }
}

* .wishing {
  font-family: 'Roboto', sans-serif;
  background: -webkit-linear-gradient(#eee, #333);
  background-clip: text;
  -webkit-background-clip: text;
  -webkit-text-fill-color: transparent;
}

* .red {
  color: red;
}

* .black {
  color: #000000;
}

* .green {
  color: green;
}

* .blue {
  color: blue;
}

* p {
  text-align: center;
}

.main {
  width: 500px;
  height: 70vh;
  background-color: #eaf2ff;
  display: block;
  margin: 0 auto;
}

.main .child {
  margin: 5px;
  height: 100%;
  box-shadow: 0 0 10px #dddddd;
}

.main .child img {
  display: block;
  margin: 0 auto;
  width: 200px;
  height: 200px;
}

.main .child .eid {
  font-family: 'Roboto', sans-serif;
  font-size: 45px;
  font-weight: bold;
}

.main .child .deepshadow {
  color: peru;
  letter-spacing: .1em;
  text-shadow: 0 -1px 0 #fff, 0 1px 0 #2e2e2e, 0 2px 0 #2c2c2c, 0 3px 0 #2a2a2a, 0 4px 0 #282828, 0 5px 0 #262626, 0 6px 0 #242424, 0 7px 0 #222, 0 8px 0 #202020, 0 9px 0 #1e1e1e, 0 10px 0 #1c1c1c, 0 11px 0 #1a1a1a, 0 12px 0 #181818, 0 13px 0 #161616, 0 14px 0 #141414, 0 15px 0 #121212, 0 22px 30px rgba(0, 0, 0, 0.9);
}

.main .child .content span {
  font-size: 17px !important;
}

.main .child .ad {
  width: 100%;
  height: 100px;
}

.name {
  /*position: fixed;
  background-color: #fff;
  bottom: 0;
  left: 0;*/
  padding-bottom: 10px;
  width: 100%;
  text-align: center;
}

.name input,
.name .btn {
  display: block;
  margin: 0 auto;
}

.name input {
  padding: 0px;
  width: 450px;
  border-radius: 5px;
  background-color: aquamarine;
  font-size: 30px;
}

.name input:focus {
  outline: none;
}

.name .btn {
  padding: 5px;
  font-size: 15px;
  font-weight: 400;
  background: none;
  background-color: antiquewhite;
  border: 1px solid #cccccc;
  box-shadow: 5px 5px #121212;
}

.name .btn:focus {
  outline: none;
  background-color: #0f0;
  box-shadow: none;
}

.name .btn:actve {
  background-color: #0f0;
}

.name #share {
  width: 500px;
  margin: 0 auto;
  padding: 10px;
}

.name #share p {
  font-size: 12px;
  font-weight: 400;
  text-align: left;
}

.name #sharetxt {
  width: 500px;
  margin: 0 auto;
  background-color: #ccc;
  border: 1px solid #000000;
  -moz-box-shadow: inset 0 0 5px #000000;
  -webkit-box-shadow: inset 0 0 5px #000000;
  box-shadow: inset 0 0 5px #000000;
  box-sizing: border-box;
  font-size: 20px;
  font-weight: 400;
}
/*# sourceMappingURL=style.css.map */

repository: iharshspatel/festivalwishes

repo_name: iharshspatel/festivalwishes

branch_name: refs/heads/main

extension: css


text:
@article{stephens2004quantification,
 author = {Stephens, David A and Crowder, Martin J and Dellaportas, Petros},
 journal = {Insurance: Mathematics and Economics},
 number = {1},
 pages = {1--21},
 publisher = {Elsevier},
 title = {Quantification of automobile insurance liability: a Bayesian failure time approach},
 volume = {34},
 year = {2004}
}

repository: petrosdel/personal-webpage

repo_name: petrosdel/personal-webpage


text:
@article{crow_mayr_2009,
	title = {Mayr, mathematics and the study of evolution},
	volume = {8},
	issn = {1475-4924},
	url = {http://jbiol.com/content/8/2/13},
	doi = {10.1186/jbiol117},
	abstract = {In 1959 Ernst Mayr challenged the relevance of mathematical models to evolutionary studies and was answered by {JBS} Haldane in a witty and convincing essay. Fifty years on, I conclude that the importance of mathematics has in fact increased and will continue to do so.},
	pages = {13},
	number = {2},
	journaltitle = {Journal of Biology},
	author = {Crow, James},
	urldate = {2009-03-09},
	date = {2009},
	tags = {Teaching resources}
}

repository: pmean/build-website

repo_name: pmean/build-website


text:
@article{cragun_perceived_2016,
 abstract = {Prior research has suggested the possibility of marginalization of religious students on college campuses and the marginalization of nonreligious individuals in society more generally. In this article, the authors examine perceived marginalization of religious and nonreligious college students on and off a college campus in the southeastern United States. The authors find that there is not a significant difference in perceived experiences of marginalization on the college campus, and nonreligious students report significantly more perceived experiences of marginalization off the campus. The forms of marginalization on and off campus are generally that of microaggressions, such as insults, jokes, and exclusion. The authors conclude by discussing some of the implications of their findings for colleges and universities.},
 author = {Cragun, Ryan T. and Sumerau, J.E. and Blyde, Victoria T. and Mann, Marcus and Hammer, Joseph H.},
 copyright = {All rights reserved},
 journal = {Journal of College and Character},
 title = {Perceived Marginalization, Educational Contexts, and (Non)Religious Educational Experience},
 url = {https://naspa.tandfonline.com/doi/abs/10.1080/2194587X.2016.1230758#.XfPypNZKhhE},
 year = {2016}
}


text:
@Article{iannone:emse2023:refactoring:security,
author={Iannone, Emanuele and Codabux, Zadia and Lenarduzzi, Valentina and De Lucia, Andrea and Palomba, Fabio},
title={Rubbing salt in the wound? A large-scale investigation into the effects of refactoring on security},
journal={Empirical Software Engineering},
year={2023},
month={May},
day={24},
volume={28},
number={4},
pages={89},
issn={1573-7616},
doi={10.1007/s10664-023-10287-x},
url={https://doi.org/10.1007/s10664-023-10287-x}
}


text:
DESCRIPTION = "glurp - frontend for mpd"
HOMEPAGE = "http://www.musicpd.org/glurp.shtml"
SECTION = "x11/multimedia"
LICENSE = "GPLv2"
DEPENDS = "gtk+ libglade"

SRC_URI = "${SOURCEFORGE_MIRROR}/glurp/glurp-${PV}.tar.gz"

LDFLAGS += "-export-dynamic"

inherit autotools

SRC_URI[md5sum] = "cffb7c11906b71a54d4cd8e9d4bd043c"
SRC_URI[sha256sum] = "dd419074ed74f5685d1a9d55249544bb3527f7e4ee86facd480ca5b7f3618f30"


text:
body {
  background-color: #222224;
  color: lightgray;
}
h1 {
  font-weight: bold;
  font-size: 400%;
}
a {
  color: deepskyblue;
}
a:hover {
  color: deepskyblue;
  background-color: darkslategray;
}
header {
  text-align: center;
}
header h1 {
  margin-bottom: 0;
}
header blockquote {
  margin-top: 0;
  padding-bottom: 1em;
}
figure img {
  width: 100%;
  max-width: 400px;
}
blockquote {
  color: dimgray;
}
footer {
  margin-top: 2em;
  font-size: small;
}
footer * {
  margin: 0;
}
#stats td {
  text-align: right;
}
#stats td:first-child {
  text-align: left;
}
#stats {
  margin-bottom: 0;
}
fieldset legend {
  color: #666;
}
.input-group:not(:first-of-type) {
  margin-top: 1em;
}


text:
DESCRIPTION = "libass is a portable subtitle renderer for the ASS/SSA (Advanced Substation Alpha/Substation Alpha) subtitle format. It is mostly compatible with VSFilter."
HOMEPAGE = "https://github.com/libass/libass"
SECTION = "libs/multimedia"

LICENSE = "ISC"
LIC_FILES_CHKSUM = "file://COPYING;md5=a42532a0684420bdb15556c3cdd49a75"

DEPENDS = "fontconfig freetype fribidi harfbuzz"

SRC_URI = "git://github.com/libass/libass.git;protocol=https;branch=0.17.1-branch"
SRCREV = "e8ad72accd3a84268275a9385beb701c9284e5b3"
S = "${WORKDIR}/git"

inherit autotools pkgconfig

PACKAGECONFIG[asm] = "--enable-asm,--disable-asm,nasm-native"
# use larger tiles in the rasterizer (better performance, slightly worse quality)
PACKAGECONFIG[largetiles] = "--enable-large-tiles,--disable-large-tiles"

PACKAGECONFIG ??= ""
PACKAGECONFIG:append:x86-64 = " asm"

PACKAGES =+ "${PN}-tests"

FILES:${PN}-tests = " \
    ${libdir}/test/test \
"

repository: openembedded/meta-openembedded

repo_name: openembedded/meta-openembedded

gha_language: BitBake


text:
.advertisement {
  margin-bottom: 30px;
}

.event-list {
  list-style: none;
  padding: 0px;
  margin: 0;
}
.event-list li {
  width: 305px;
  height: 192px;
  position: relative;
  float: left;
  background: #f8f8f8;
  margin: 7px;
}
.event-list li .follow-event {
  position: absolute;
  height: 48px;
  width: 100%;
  display: block;
  bottom: 0px;
  left: 0px;
}


text:
@article{Thomas2001,
 abstract = {OBJECTIVE: To investigate possible differences in coping mechanisms in the painful crisis between Jamaican and London patients with homozygous sickle cell disease. DESIGN: Patients recruited from two London hospitals and the MRC Laboratories (Jamaica) at the University of the West Indies, Kingston, Jamaica were assessed using a questionnaire design. Patients with homozygous sickle cell disease were included, 30 in London and 30 in Jamaica. RESULTS: Jamaican patients in Jamaica had less general anxiety, a lower emotional response to pain, lower levels of perceived pain, and felt better able to decrease their pain. London patients believed that the disease had a more marked effect on their quality of life. CONCLUSION: Understanding the differences between patients' response to pain and their coping ability between Jamaican and UK patients may have important lessons for evolving effective management in the UK.},
 address = {England},
 author = {Thomas, V. J. and Hambleton, I. and Serjeant, G.},
 completed = {20011205},
 doi = {10.1080/13557850120068450},
 history = {2001/08/02 10:00 [entrez]},
 issue = {2},
 journal = {Ethnicity & health},
 keywords = {*Adaptation, Psychological, Adult, Anemia, Sickle Cell/complications/ethnology/*psychology, Discriminant Analysis, Female, Homozygote, Humans, Jamaica/epidemiology, London/epidemiology, Male, Pain/*ethnology/etiology/psychology, Quality of Life, Stress, Psychological/*ethnology/etiology/psychology, Surveys and Questionnaires},
 language = {eng},
 linking-issn = {1355-7858},
 month = {May},
 nlm-unique-id = {9608374},
 owner = {NLM},
 pages = {129-36},
 print-issn = {1355-7858},
 publication-status = {ppublish},
 revised = {20151119},
 source = {Ethn Health. 2001 May;6(2):129-36. doi: 10.1080/13557850120068450.},
 status = {MEDLINE},
 subset = {IM},
 title = {Psychological distress and coping in sickle cell disease: comparison of British and Jamaican attitudes.},
 title-abbreviation = {Ethn Health},
 volume = {6},
 year = {2001}
}


text:
@article{pmid18677321,
 abstract = {Physical and functional interactions define the molecular organization of the cell. Genetic interactions, or epistasis, tend to occur between gene products involved in parallel pathways or interlinked biological processes. High-throughput experimental systems to examine genetic interactions on a genome-wide scale have been devised for Saccharomyces cerevisiae, Schizosaccharomyces pombe, Caenorhabditis elegans and Drosophila melanogaster, but have not been reported previously for prokaryotes. Here we describe the development of a quantitative screening procedure for monitoring bacterial genetic interactions based on conjugation of Escherichia coli deletion or hypomorphic strains to create double mutants on a genome-wide scale. The patterns of synthetic sickness and synthetic lethality (aggravating genetic interactions) we observed for certain double mutant combinations provided information about functional relationships and redundancy between pathways and enabled us to group bacterial gene products into functional modules.},
 author = {Gareth Butland and Mohan Babu and J Javier Díaz-Mejía and Fedyshyn Bohdana and Sadhna Phanse and Barbara Gold and Wenhong Yang and Joyce Li and Alla G Gagarinova and Oxana Pogoutse and Hirotada Mori and Barry L Wanner and Henry Lo and Jas Wasniewski and Constantine Christopolous and Mehrab Ali and Pascal Venn and Anahita Safavi-Naini and Natalie Sourour and Simone Caron and Ja-Yeon Choi and Ludovic Laigle and Anaies Nazarians-Armavil and Avnish Deshpande and Sarah Joe and Kirill A Datsenko and Natsuko Yamamoto and Brenda J Andrews and Charles Boone and Huiming Ding and Bilal Sheikh and Gabriel Moreno-Hagelseib and Jack F Greenblatt and Andrew Emili},
 doi = {10.1038/nmeth.1239},
 journal = {Nat. Methods},
 month = {September},
 nlmuniqueid = {101215604},
 number = {9},
 pages = {789-95},
 pii = {nmeth.1239},
 pubmed = {18677321},
 title = {eSGA: E. coli synthetic genetic array analysis.},
 volume = {5},
 year = {2008}
}

repository: zqzneptune/BabuLab

repo_name: zqzneptune/BabuLab


text:
DESCRIPTION = "Dinothawr - standalone libretro puzzle game"

LICENSE = "GPL-3.0-only"
LIC_FILES_CHKSUM = "file://LICENSE;md5=84dcc94da3adb52b53ae4fa38fe49e5d"

inherit libretro

LIBRETRO_GIT_REPO = "github.com/libretro/libretro-gme.git"


text:
%% This BibTeX bibliography file was created using BibDesk.
%% http://bibdesk.sourceforge.net/

%% Created for Soumyajit Mazumder at 2016-05-06 13:23:49 -0400

%% Saved with string encoding Unicode (UTF-8)

@article{AcemogluJohnsonRobinson2001,
	Author = {Daron Acemoglu and Simon Johnson and James A. Robinson},
	Date-Added = {2016-05-05 16:18:00 +0000},
	Date-Modified = {2016-05-05 16:19:02 +0000},
	Journal = {American Economic Review},
	Number = {5},
	Pages = {1369-1401},
	Title = {The Colonial Origins of Comparative Development: An Empirical Investigation},
	Volume = {91},
	Year = {2001}}

@article{tibshirani1996regression,
	Author = {Tibshirani, Robert},
	Journal = {Journal of the Royal Statistical Society. Series B (Methodological)},
	Pages = {267--288},
	Publisher = {JSTOR},
	Title = {Regression shrinkage and selection via the lasso},
	Year = {1996}}

@article{MP2016,
	Author = {Stelios Michalopoulos and Elias Papaioannou},
	Date-Added = {2016-05-05 01:19:43 +0000},
	Date-Modified = {2016-05-05 01:20:33 +0000},
	Journal = {American Economic Review},
	Title = {The Long-Run Effects of the Scramble for Africa},
	Year = {Forthcoming}}

@article{SchistermanColePlatt2009,
	Author = {Enrique F. Schisterman and Stephen R. Cole and Robert W. Platt},
	Date-Added = {2016-05-05 01:12:50 +0000},
	Date-Modified = {2016-05-05 01:13:47 +0000},
	Journal = {Epidemiology},
	Number = {4},
	Pages = {488-495},
	Title = {Overadjustment Bias and Unnecessary Adjustment in Epidemiologic Studies},
	Volume = {20},
	Year = {2009}}

@article{NunnWantchekon2011,
	Author = {Nathan Nunn and Leonard Wantchekon},
	Date-Added = {2016-05-04 18:25:12 +0000},
	Date-Modified = {2016-05-04 18:26:05 +0000},
	Journal = {American Economic Review},
	Number = {7},
	Pages = {3221-3252},
	Title = {The Slave Trade and the Origins of Mistrust in Africa},
	Volume = {101},
	Year = {2011}}

@inbook{Robins1997,
	Author = {James M. Robins},
	Chapter = {Causal Inference from Complex Longitudinal Data},
	Date-Added = {2016-05-04 02:44:28 +0000},
	Date-Modified = {2016-05-04 02:46:27 +0000},
	Editor = {M. Berkane},
	Pages = {69-117},
	Publisher = {Springer-Verlag},
	Title = {Latent Variable Modeling and Applications to Causality},
	Volume = {120},
	Year = {1997}}

@article{BesleyRQ2014,
	Author = {Timothy Besley and Marta {Reynal-Querol}},
	Date-Added = {2016-05-04 02:03:18 +0000},
	Date-Modified = {2016-05-04 02:04:14 +0000},
	Journal = {American Political Science Review},
	Number = {2},
	Pages = {319-336},
	Title = {The Legacy of Historical Conflict: Evidence from Africa},
	Volume = {108},
	Year = {2014}}

@article{JoffeGreene2009,
	Author = {Marshall M. Joffe and Tom Greene},
	Date-Added = {2016-05-04 02:02:03 +0000},
	Date-Modified = {2016-05-04 02:03:04 +0000},
	Journal = {Biometrics},
	Number = {2},
	Pages = {530-538},
	Title = {Related Causal Frameworks for Surrogate Outcomes},
	Volume = {65},
	Year = {2009}}

@article{Vansteelandt2009,
	Author = {Sijn Vansteelandt},
	Date-Added = {2016-05-04 02:00:04 +0000},
	Date-Modified = {2016-05-04 02:01:14 +0000},
	Journal = {Epidemiology},
	Number = {6},
	Pages = {851-860},
	Title = {Estimating Direct Effects in Cohort and Case-Control Studies},
	Volume = {20},
	Year = {2009}}

@article{AcharyaBlackwellSen2016,
	Author = {Avidit Acharya and Matthew Blackwell and Maya Sen},
	Date-Added = {2016-05-04 01:26:36 +0000},
	Date-Modified = {2016-05-04 01:27:31 +0000},
	Journal = {American Political Science Review},
	Title = {Explaining Causal Findings without Bias: Detecting and Assessing Direct Effects},
	Year = {Forthcoming}}

@article{ImaiEtAl2011,
	Author = {Kosuke Imai and Luke Keele and Dustin Tingley and Teppei Yamamoto},
	Date-Added = {2016-05-04 01:25:00 +0000},
	Date-Modified = {2016-05-04 01:25:57 +0000},
	Journal = {American Political Science Review},
	Number = {4},
	Pages = {765-789},
	Title = {Unpacking the Black Box of Causality: Learning about Causal Mechanisms from Experimental and Observational Studies},
	Volume = {105},
	Year = {2011}}

@article{mehlum2006institutions,
	Author = {Mehlum, Halvor and Moene, Karl and Torvik, Ragnar},
	Journal = {The economic journal},
	Number = {508},
	Pages = {1--20},
	Publisher = {Wiley Online Library},
	Title = {Institutions and the resource curse*},
	Volume = {116},
	Year = {2006}}

@article{henderson_measuring_2012,
	Author = {Henderson, J. Vernon and Storeygard, Adam and Weil, David N},
	Doi = {10.1257/aer.102.2.994},
	Issn = {0002-8282},
	Journal = {American Economic Review},
	Language = {en},
	Month = apr,
	Number = {2},
	Pages = {994--1028},
	Title = {Measuring {Economic} {Growth} from {Outer} {Space}},
	Url = {http:// pubs.aeaweb.org/doi/abs/10.1257/aer.102.2.994},
	Urldate = {2016-05-05},
	Volume = {102},
	Year = {2012},
	Bdsk-Url-1 = {http://%20pubs.aeaweb.org/doi/abs/10.1257/aer.102.2.994},
	Bdsk-Url-2 = {http://dx.doi.org/10.1257/aer.102.2.994}}

@article{hsiang2013quantifying,
	Author = {Hsiang, Solomon M and Burke, Marshall and Miguel, Edward},
	Journal = {Science},
	Number = {6151},
	Pages = {1235367},
	Publisher = {American Association for the Advancement of Science},
	Title = {Quantifying the influence of climate on human conflict},
	Volume = {341},
	Year = {2013}}


text:
@techreport{___2015,
 author = {田中 隆寛 and 河合 紀彦 and 中島 悠太 and 佐藤 智和 and 横矢 直和},
 file = {田中 隆寛 et al. - 2016 - 畳み込みニューラルネットワークを用いた修復失敗領域の自動検出による画像修復の反復的適用 (パターン認.pdf:/Users/n-yuta/Zotero/storage/893YFDDK/田中 隆寛 et al. - 2016 - 畳み込みニューラルネットワークを用いた修復失敗領域の自動検出による画像修復の反復的適用 (パターン認.pdf:application/pdf;畳み込みニューラルネットワークを用いた修復失敗領域の自動検出による画像修復の反復的適用 (パターン認識・メディア理解) Snapshot:/Users/n-yuta/Zotero/storage/2DVTXDAU/40020758619.html:text/html},
 keywords = {convolutional neural network, automatic detection of failure regions, image inpainting, 画像修復, 修復失敗領域の自動検出, 畳み込みニューラルネットワーク},
 month = {December},
 number = {映像情報メディア学会2015年冬季大会講演予稿集, 11B-3},
 pages = {2},
 title = {画像修復における畳み込みニューラルネットワークを用いた修復失敗領域の自動検出},
 urldate = {2019-04-30},
 year = {2015}
}


text:
---
---
@article{arroniz2021s,
  abbr={IULCWP},
  title={Who’s motivated to trill?: A sociolinguistic study on the acquisition of Spanish trills in heterosyllabic sequences},
  author={Arróniz, Santiago and Coulter-Kern, Mackenzie Dawn},
  journal={IULC Working Papers},
  volume={21},
  number={1},
  year={2021},
  abstract={This study aims to investigate the acquisition of trills in heterosyllabic sequences by speakers of Spanish as a second language (L2) and heritage speakers. To this end, we presented participants with three oral production tasks designed to elicit instances of trills, accompanied by a motivation questionnaire and a background questionnaire. The results obtained by means of acoustic analysis of the productions together with the answers to the motivation questionnaire show clear acquisitional patterns in L2 learners of Spanish at varying levels of proficiency, as well as variation in native speakers’ production of the trill in heterosyllabic sequences. This paper also raises some pedagogical implications, pointing out that instructors should more explicitly teach and illustrate examples of trills in heterosyllabic sequences at all levels, since this phenomenon is neither orthographically salient nor frequent in speech.},
  html={https://scholarworks.iu.edu/journals/index.php/iulcwp/article/view/32222},
  pdf={trills_iulcwp_2021.pdf},
  selected={true}
}

@article{arroniz2019,
  abbr={M.A. Thesis},
  title={Joke Comprehesion by Spanish B2 level learners of English: A preliminary empirical study.},
  author={Arróniz, Santiago},
  year={2019},
  abstract={This work undertakes an empirical study of one of the least researched issues in interlanguage pragmatics so far{:} comprehension of jokes by Spanish learners of English as a second language (L2, henceforth). It seeks to examine whether these learners grasp the humor some joking texts are intended to produce, which types of jokes prove to be more difficult to understand and why. Adopting a relevance-theoretic perspective on comprehension, and, more precisely, the model of comprehension envisaged in the cognitive-pragmatic framework put forward by Sperber and Wilson (1986/1995), this work relies on the classification of jokes recently proposed by Yus (2016), where jokes are sorted out into seven different types depending on three parameters which are purportedly exploited by humorists in their creation and are, therefore, responsible for their triggering the expected effect. Consequently, this work presents the results obtained through an online questionnaire that was administered to students of English as an L2 with an upperintermediate, B2 level who were enrolled in one of the compulsory courses of the Degree in English Studies taught at the Universidad de Sevilla. Owing to its limitations, this work cannot but be considered an initial, exploratory study that aims to spark off further research contributing to a better and deeper understanding of the problems that L2 learners may face when processing humorous texts.},
  selected={true},
  html={https://hdl.handle.net/11441/107564}
}

@article{coulter2021teaching,
  abbr={IULCWP},
  title={Teaching Responses to Invitations through Face-To-Face & Computer-Mediated Communication in the Spanish Classroom.},
  author={Coulter-Kern, Mackenzie Dawn and Arróniz, Santiago},
  journal={IULC Working Papers},
  volume={21},
  number={2},
  year={2021},
  abstract={While it is known that increasing learner awareness of pragmatics can lead to cross cultural communication, and that pedagogical intervention can improve learners’ cultural awareness of pragmatics, there remains little explicit instruction on formulaic pragmatic expressions in Spanish. The present unit of instruction provides teachers and learners with an activity to teach acceptances and refusals in Spanish through the use of Computer-Mediated Communication (CMC). It utilizes Scollon and Scollon’s (2001) model of politeness which incorporates the notion of ‘self’ when teaching acceptances and refusals to invitations.},
  html={https://scholarworks.iu.edu/journals/index.php/iulcwp/article/view/31835},
  pdf={teaching_pragmatics_iulcwp_2021.pdf},
  selected={true}
}

@article{arroniz2016a,
  abbr={Manuscript},
  title={Aspiración de /s/ en Posición Inicial de Sílaba: Un Estudio Sociolingüístico en el Habla Regional del Sur de España.},
  author={Arróniz, Santiago},
  year={2016}
}

@article{arroniz2016b,
  abbr={Manuscript},
  title={Giving response to gratitude expressions in bilingual contexts: A contrastive analysis between American English and Spanish.},
  author={Arróniz, Santiago},
  year={2016},
  abstract={The current study sets out to investigate variation in the speech act of responding to gratitude expression among bilingual speakers. It has been proposed in previous studies (Schneider, 2005; Bieswanger, 2015) that in this particular speech act there can be a variety of strategies that monolingual speakers use to respond to thanks, but no focus has been put in an English-Spanish bilingual community. In this sense, the present research starts from those studies, and looks for the differences or similarities that may occur between bilingual and monolingual speakers. In order to do so, the first thing to consider is the norm in both languages, and then have a look at what really happens in a bilingual context. For this purpose, a DCT was spread among monolingual Spanish speakers to obtain their norm, and then, together with the norm in English obtained in previous research (Schneider, 2005; Bieswanger, 2015), compare both using natural data collected in a bilingual context. Overall, the results obtained from the data collected proved that there are some differences in fact in the way bilingual speakers behave when responding to thanks, showing an accommodation/assimilation to their L2, using strategies that were more common among the opposite community.},
}

@article{arronizcoulter2017a,
  abbr={Manuscript},
  title={A study of the production of trills after heterosyllabic consonants in non-native Spanish learners.},
  author={Arróniz, S. and Coulter-Kern, M.},
  year={2017},
  abstract={The present study attempts to 1) identify significant differences in the acquisition of trills by non-native Spanish speakers after heterosyllabic consonants and 2) present these differences quantitatively. This study is primarily concerned with at what point in acquisition do learners begin to produce trills after heterosyllabic consonants and how can we measure their progress as related to productions of a native speaker.}
}

@article{arroniz2017a,
  abbr={Manuscript},
  title={Africación de los grupos /st/, /kt/ y /pt/: Una evolución de la postaspiración en Andalucía.},
  author={Arróniz, Santiago},
  year={2017}
}

@article{arronizcoulter2017b,
  abbr={Manuscript},
  title={Fortición de la consonante palatal sonora: Un estudio explotatorio.},
  author={Arróniz, Santiago and Coulter-Kern, Mackenzie Dawn},
  year={2017}
}

@article{arroniz2018a,
  abbr={Manuscript},
  title={Intonational Patterns and Perception: A Contrastive Analysis between Peninsular and Puerto Rican Spanish.},
  author={Arróniz, Santiago},
  year={2018}
}

@article{arroniz2018b,
  abbr={Manuscript},
  title={Inovação linguística na poesia de Mário de Sá-Carneiro.},
  author={Arróniz, Santiago},
  year={2018},
  abstract={O objetivo do presente estudo é partir do poema “Como eu não possuo” para dar uma aproximação formal e linguística à poesia de Sá-Carneiro, e aprofundar na maneira em que o autor não só elege as palavras que melhor convêm-lhe, mas que também pode trocar estruturas morfológicas presumidamente estabelecidas na língua para dar um significado diferente. Pretendemos fazer uma análise da estrutura morfológica de certos vocábulos poéticos contextualizando este poema dentro da sua obra e do movimento modernista que destaca de maneira sobressaliente neste autor.},
}

@article{arroniz2018c,
  abbr={Manuscript},
  title={Impoliteness strategies in the L2 classroom setting: Conventionalized formulaic sequences in Spanish.},
  author={Arróniz, Santiago},
  year={2018},
  abstract={The present study aims to investigate the acquisition of impoliteness formulaic sequences in Spanish as a second language in the classroom setting. For those purposes, we want to observe the number of impolite expressions that students at different levels of proficiency know, and if they can use them in context. We will use two different tasks in our study. The first one is a recognition task, based in Bardovi-Harlig and Bastos (2010). With this instrument, we aim to see if students can recognize impolite formulas. In the second task, a production task, we used an oral DCT with 12 different situations, and for each of them, we ask the students to provide an oral response. We will analyze the data obtained with these two instruments and categorize the productions according to Culpeper’s (2011, 2017) taxonomy of conventionalized impolite expressions. We propose that because students are not very familiar with this type of language, a pedagogical intervention could be proposed in a future study to include these expressions in the L2 Spanish classroom.},
}

@article{arroniz2019,
  abbr={Manuscript},
  title={The acquisition of intonation by L2 Spanish students (Proposal).},
  author={Arróniz, Santiago},
  year={2019}
}

@article{arroniz2020a,
  abbr={Manuscript},
  title={Computer-Assisted Language Learning: Testing Morphological Structures in L2 Spanish.},
  author={Arróniz, Santiago},
  year={2020}
}

@article{arroniz2020b,
  abbr={Manuscript},
  title={Intonation and attitudes: Examining language attitudes toward Catalan by Peninsular Spanish speakers.},
  author={Arróniz, Santiago},
  year={2020},
  abstract={Research on language attitudes toward certain community groups is extensive and covers a wide range of phenomena and languages. This paper aims to investigate whether intonation, as a prosodic component and, frequently, a distinctive feature of certain languages, can trigger different attitudes, depending on whether or not the identity of the speaker is disclosed. To this end, a group of ten speakers of peninsular Spanish participated in a perception study in which pitch modifications were used with a synthetic voice to reflect intonation contours specific to neutral polar questions and information-seeking wh-questions in two languages in contact{:} Spanish and Catalan. The participants heard two versions of each token, both of them in Spanish, but one with a Castilian-accented L+H* intonation, and the other with a Catalan-accented H+L* intonation. Subsequently, they heard the same audio recordings once again, but this time the place of origin of each manipulation was disclosed; that is, either from Madrid (Castilian) or Catalonia (Catalan). The results confirm not only that intonation is a linguistic trait that does trigger attitudes on its own, but also that there is a strong social dimension to how Spanish speakers perceive Catalan, beyond language.},
}

@article{arroniz2020c,
  abbr={Manuscript},
  title={High, or super-high, that is the question: Examining the role of pitch range in Peninsular Spanish},
  author={Arróniz, Santiago},
  year={2020}
}

@article{arronizetpadilla2022,
  title={Joke identification, comprehension and appreciation by Spanish intermediate ESL learners: an exploratory study},
  volume={10},
  url={https://www.europeanjournalofhumour.org/ejhr/article/view/633},
  DOI={10.7592/EJHR2022.10.1.633},
  abstract={This paper reports on an exploratory study examining joke identification, appreciation and comprehension by Spanish intermediate ESL learners. The study is based on a relevance-theoretic classification of jokes, which assumes that humorousness results from manipulation of three parametres: make-sense frames, cultural information and utterance interpretation. It firstly ascertains whether Spanish ESL learners recognise orally-delivered samples of seven types of purportedly jocular texts. Secondly, it examines whether these learners actually regard such texts as comical and why. Finally, it looks into the learners’ interpretative problems in order to single out which joke type(s) is/are more challenging. The study relies on quantitative and qualitative data elicited through an online questionnaire comprising four tasks. The results indicate no correlation between joke identification and appreciation, and independence of successful joke recognition from sophisticated interpretative skills. Jokes involving invalidation of an activated make-sense frame were most easily identified and found most funny, but jokes exploiting cancellation of an initial, seemingly plausible, interpretation posed more difficulties.},
  number={1},
  journal={The European Journal of Humour Research},
  author={Arróniz Parra, Santiago and Padilla Cruz, Manuel},
  year={2022},
  month={Apr.},
  pages={108–133},
  selected={true},
  abbr={EJHR},
  html={https://www.europeanjournalofhumour.org/ejhr/article/view/633},
  pdf={arronizpadilla2022_jokes.pdf}
}


text:
@article{ostien_10_node_comp_tet_FE_for_solid_mechanics,
author = "J. T. Ostien and J. W. Foulk and A. Mota and M. G. Veileux",
title  = "A 10-Node Composite Tetrahedral Finite Element For Solid Mechanics",
journal= "International Journal For Numerical Methods In Engineering",
year   = 2016,
volume = 107,
month  = 2,
}

repository: JustinClough/grasp

repo_name: JustinClough/grasp


text:
*{
  font-family: 'Fredoka One', cursive;

}
.card-holder{
  padding-left: 100px;
}
.card-div{
  display: flex;
  flex-wrap: wrap;
}
.card-item{
  background-color:rgb(255,138,51);
  height: 10rem;
  width: 11rem;
  /* padding: 20px; */
  margin:  25px ;

  border-radius: 10px;
  box-shadow: 5px 5px 5px 5px  rgba(128, 128, 128, 0.822);
  border: white solid thick;
  /* background-repeat: no-repeat; */

  background-position: center;

}
#navbar{
  padding-top: 13px;
  padding-bottom: 13px;
  background: rgb(234,55,41);
  color: white;

}
#header{
  background:rgb(200,91,188);
  color: white;
  padding-top: 115px;
  padding-bottom: 115px;

}

repository: travisstew/Clicky-Memory-Game

repo_name: travisstew/Clicky-Memory-Game


text:
@article{赵冬斌2016深度强化学习综述：兼论计算机围棋的发展,
  title={深度强化学习综述：兼论计算机围棋的发展},
  author={赵冬斌 and 邵坤 and 朱圆恒 and 李栋 and 陈亚冉 and 王海涛 and 刘德荣 and 周彤 and 王成红},
  journal={控制理论与应用},
  volume={33},
  number={6},
  pages={701-717},
  year={2016},
 keywords={深度强化学习;初弈号;深度学习;强化学习;人工智能},
 abstract={深度强化学习将深度学习的感知能力和强化学习的决策能力相结合,可以直接根据输入的图像进行控制,是一种更接近人类思维方式的人工智能方法.自提出以来,深度强化学习在理论和应用方面均取得了显著的成果.尤其是谷歌深智(Deep Mind)团队基于深度强化学习方法研发的计算机围棋"初弈号–Alpha Go",在2016年3月以4:1的大比分战胜了世界围棋顶级选手李世石(Lee Sedol),成为人工智能历史上一个新里程碑.为此,本文综述深度强化学习的发展历程,兼论计算机围棋的历史,分析算法特性,探讨未来的发展趋势和应用前景,期望能为控制理论与应用新方向的发展提供有价值的参考.},
}

@article{Li2017Deep,
  title={Deep Reinforcement Learning: An Overview},
  author={Li, Yuxi},
  year={2017},
 keywords={Computer Science - Learning},
 abstract={Abstract: We give an overview of recent exciting achievements of deep reinforcement learning (RL). We discuss six core elements, six important mechanisms, and twelve applications. We start with background of machine learning, deep learning and reinforcement learning. Next we discuss core RL elements, including value function, in particular, Deep Q-Network (DQN), policy, reward, model, planning, and exploration. After that, we discuss important mechanisms for RL, including attention and memory, unsupervised learning, transfer learning, multi-agent RL, hierarchical RL, and learning to learn. Then we discuss various applications of RL, including games, in particular, AlphaGo, robotics, natural language processing, including dialogue systems, machine translation, and text generation, computer vision, neural architecture design, business management, finance, healthcare, Industry 4.0, smart grid, intelligent transportation systems, and computer systems. We mention topics not reviewed yet, and list a collection of RL resources. After presenting a brief summary, we close with discussions.},
}

@article{唐振韬2017深度强化学习进展,
  title={深度强化学习进展:从AlphaGo到AlphaGo Zero},
  author={唐振韬 and 邵坤 and 赵冬斌 and 朱圆恒},
  journal={控制理论与应用},
  volume={34},
  number={12},
  year={2017},
 keywords={深度强化学习;AlphaGoZero;深度学习;强化学习;人工智能},
 abstract={2016年初,AlphaGo战胜李世石成为人工智能的里程碑事件.其核心技术深度强化学习受到人们的广泛关注和研究,取得了丰硕的理论和应用成果.并进一步研发出算法形式更为简洁的AlphaGo Zero,其采用完全不基于人类经验的自学习算法,完胜AlphaGo,再一次刷新人们对深度强化学习的认知.深度强化学习结合了深度学习和强化学习的优势,可以在复杂高维的状态动作空间中进行端到端的感知决策.本文主要介绍了从AlphaGo到Alpha-Go Zero的深度强化学习的研究进展.首先回顾对深度强化学习的成功作出突出贡献的主要算法,包括深度Q网络算法、A3C算法、策略梯度算法及其他算法的相应扩展.然后给出AlphaGo Zero的详细介绍和讨论,分析其对人工智能的巨大推动作用.并介绍了深度强化学习在游戏、机器人、自然语言处理、智能驾驶、智能医疗等领域的应用进展,以及相关资源进展.最后探讨了深度强化学习的发展展望,以及对其他潜在领域的人工智能发展的启发意义.},
}

@article{Mnih2013Playing,
  title={Playing Atari with Deep Reinforcement Learning},
  author={Mnih, Volodymyr and Kavukcuoglu, Koray and Silver, David and Graves, Alex and Antonoglou, Ioannis and Wierstra, Daan and Riedmiller, Martin},
  journal={Computer Science},
  year={2013},
 keywords={Computer Science - Learning},
 abstract={Abstract: We present the first deep learning model to successfully learn control policies directly from high-dimensional sensory input using reinforcement learning. The model is a convolutional neural network, trained with a variant of Q-learning, whose input is raw pixels and whose output is a value function estimating future rewards. We apply our method to seven Atari 2600 games from the Arcade Learning Environment, with no adjustment of the architecture or learning algorithm. We find that it outperforms all previous approaches on six of the games and surpasses a human expert on three of them.},
}

@article{Watkins1992Technical,
  title={Technical Note: Q-Learning},
  author={Watkins, Christopher J. C. H. and Dayan, Peter},
  journal={Machine Learning},
  volume={8},
  number={3-4},
  pages={279-292},
  year={1992},
 keywords={mathcal{Q}$$ -learning;reinforcement learning;temporal differences;asynchronous dynamic programming},
 abstract={\(\mathcal{Q}\) -learning (Watkins, 1989) is a simple way for agents to learn how to act optimally in controlled Markovian domains. It amounts to an incremental method for dynamic programming which imposes limited computational demands. It works by successively improving its evaluations of the quality of particular actions at particular states.This paper presents and proves in detail a convergence theorem for \(\mathcal{Q}\) -learning based on that outlined in Watkins (1989). We show that \(\mathcal{Q}\) -learning converges to the optimum action-values with probability 1 so long as all actions are repeatedly sampled in all states and the action-values are represented discretely. We also sketch extensions to the cases of non-discounted, but absorbing, Markov environments, and where many \(\mathcal{Q}\) values can be changed each iteration, rather than just one.},
}

@article{Lillicrap2015Continuous,
  title={Continuous control with deep reinforcement learning},
  author={Lillicrap, Timothy P. and Hunt, Jonathan J. and Pritzel, Alexander and Heess, Nicolas and Erez, Tom and Tassa, Yuval and Silver, David and Wierstra, Daan},
  journal={Computer Science},
  volume={8},
  number={6},
  pages={A187},
  year={2015},
 keywords={Computer Science - Learning;Statistics - Machine Learning},
 abstract={We adapt the ideas underlying the success of Deep Q-Learning to the continuous action domain. We present an actor-critic, model-free algorithm based on the deterministic policy gradient that can operate over continuous action spaces. Using the same learning algorithm, network architecture and hyper-parameters, our algorithm robustly solves more than 20 simulated physics tasks, including classic problems such as cartpole swing-up, dexterous manipulation, legged locomotion and car driving. Our algorithm is able to find policies whose performance is competitive with those found by a planning algorithm with full access to the dynamics of the domain and its derivatives. We further demonstrate that for many of the tasks the algorithm can learn policies end-to-end: directly from raw pixel inputs.},
}

@article{Barto1998Reinforcement,
  title={Reinforcement Learning: An Introduction},
  author={Barto, Andrew G and Sutton, Richard S},
  year={1998},
}

@misc{gym-super-mario-bros,
  author = {Christian Kauten},
  title = {{S}uper {M}ario {B}ros for {O}pen{AI} {G}ym},
  year = {2018},
  publisher = {GitHub},
  howpublished = {\url{https://github.com/Kautenja/gym-super-mario-bros}},
}
@inproceedings{zeiler2014visualizing,
  title={Visualizing and understanding convolutional networks},
  author={Zeiler, Matthew D and Fergus, Rob},
  booktitle={European conference on computer vision},
  pages={818--833},
  year={2014},
  organization={Springer}
}
@article{陈兴国2016强化学习及其在电脑围棋中的应用,
  title={强化学习及其在电脑围棋中的应用},
  author={陈兴国 and 俞扬},
  journal={自动化学报},
  volume={42},
  number={5},
  pages={685--695},
  year={2016}
}
@article{silver2016mastering,
  title={Mastering the game of Go with deep neural networks and tree search},
  author={Silver, David and Huang, Aja and Maddison, Chris J and Guez, Arthur and Sifre, Laurent and Van Den Driessche, George and Schrittwieser, Julian and Antonoglou, Ioannis and Panneershelvam, Veda and Lanctot, Marc and others},
  journal={nature},
  volume={529},
  number={7587},
  pages={484},
  year={2016},
  publisher={Nature Publishing Group}
}
@article{li2017deep,
  title={Deep speaker: an end-to-end neural speaker embedding system},
  author={Li, Chao and Ma, Xiaokong and Jiang, Bing and Li, Xiangang and Zhang, Xuewei and Liu, Xiao and Cao, Ying and Kannan, Ajay and Zhu, Zhenyao},
  journal={arXiv preprint arXiv:1705.02304},
  year={2017}
}
@article{arulkumaran2017brief,
  title={A brief survey of deep reinforcement learning},
  author={Arulkumaran, Kai and Deisenroth, Marc Peter and Brundage, Miles and Bharath, Anil Anthony},
  journal={arXiv preprint arXiv:1708.05866},
  year={2017}
}
@article{常亮2016图像理解中的卷积神经网络,
  title={图像理解中的卷积神经网络},
  author={常亮 and 邓小明 and 周明全 and 武仲科 and 袁野 and 杨硕 and 王宏安},
  journal={自动化学报},
  volume={42},
  number={9},
  pages={1300--1312},
  year={2016}
}
@article{hinton2015distilling,
  title={Distilling the knowledge in a neural network},
  author={Hinton, Geoffrey and Vinyals, Oriol and Dean, Jeff},
  journal={arXiv preprint arXiv:1503.02531},
  year={2015}
}
@article{wang2016sample,
  title={Sample efficient actor-critic with experience replay},
  author={Wang, Ziyu and Bapst, Victor and Heess, Nicolas and Mnih, Volodymyr and Munos, Remi and Kavukcuoglu, Koray and de Freitas, Nando},
  journal={arXiv preprint arXiv:1611.01224},
  year={2016}
}
@article{lillicrap2015continuous,
  title={Continuous control with deep reinforcement learning},
  author={Lillicrap, Timothy P and Hunt, Jonathan J and Pritzel, Alexander and Heess, Nicolas and Erez, Tom and Tassa, Yuval and Silver, David and Wierstra, Daan},
  journal={arXiv preprint arXiv:1509.02971},
  year={2015}
}
@inproceedings{van2016deep,
  title={Deep reinforcement learning with double q-learning},
  author={Van Hasselt, Hado and Guez, Arthur and Silver, David},
  booktitle={Thirtieth AAAI Conference on Artificial Intelligence},
  year={2016}
}
@inproceedings{hasselt2010double,
  title={Double Q-learning},
  author={Hasselt, Hado V},
  booktitle={Advances in Neural Information Processing Systems},
  pages={2613--2621},
  year={2010}
}
@article{mnih2013playing,
  title={Playing atari with deep reinforcement learning},
  author={Mnih, Volodymyr and Kavukcuoglu, Koray and Silver, David and Graves, Alex and Antonoglou, Ioannis and Wierstra, Daan and Riedmiller, Martin},
  journal={arXiv preprint arXiv:1312.5602},
  year={2013}
}
@article{lecun1998gradient,
  title={Gradient-based learning applied to document recognition},
  author={LeCun, Yann and Bottou, L{\'e}on and Bengio, Yoshua and Haffner, Patrick and others},
  journal={Proceedings of the IEEE},
  volume={86},
  number={11},
  pages={2278--2324},
  year={1998},
  publisher={Taipei, Taiwan}
}
@article{schaul2015prioritized,
  title={Prioritized experience replay},
  author={Schaul, Tom and Quan, John and Antonoglou, Ioannis and Silver, David},
  journal={arXiv preprint arXiv:1511.05952},
  year={2015}
}
@article{schulman2017proximal,
  title={Proximal policy optimization algorithms},
  author={Schulman, John and Wolski, Filip and Dhariwal, Prafulla and Radford, Alec and Klimov, Oleg},
  journal={arXiv preprint arXiv:1707.06347},
  year={2017}
}
@inproceedings{mnih2016asynchronous,
  title={Asynchronous methods for deep reinforcement learning},
  author={Mnih, Volodymyr and Badia, Adria Puigdomenech and Mirza, Mehdi and Graves, Alex and Lillicrap, Timothy and Harley, Tim and Silver, David and Kavukcuoglu, Koray},
  booktitle={International conference on machine learning},
  pages={1928--1937},
  year={2016}
}
@article{heess2017emergence,
  title={Emergence of locomotion behaviours in rich environments},
  author={Heess, Nicolas and Sriram, Srinivasan and Lemmon, Jay and Merel, Josh and Wayne, Greg and Tassa, Yuval and Erez, Tom and Wang, Ziyu and Eslami, SM and Riedmiller, Martin and others},
  journal={arXiv preprint arXiv:1707.02286},
  year={2017}
}
@book{2011机器学习及其应用,
  title={机器学习及其应用2009},
  year={2011},
}
@article{Rosenblatt1958The,
  title={The perceptron: a probabilistic model for information storage and organization in the brain.},
  author={Rosenblatt, F},
  journal={Psychological Review},
  volume={65},
  number={6},
  pages={386-408},
  year={1958},
}
@article{rumelhart1988learning,
  title={Learning representations by back-propagating errors},
  author={Rumelhart, David E and Hinton, Geoffrey E and Williams, Ronald J and others},
  journal={Cognitive modeling},
  volume={5},
  number={3},
  pages={1},
  year={1988}
}
@article{lecun1998gradient,
  title={Gradient-based learning applied to document recognition},
  author={LeCun, Yann and Bottou, L{\'e}on and Bengio, Yoshua and Haffner, Patrick and others},
  journal={Proceedings of the IEEE},
  volume={86},
  number={11},
  pages={2278--2324},
  year={1998},
  publisher={Taipei, Taiwan}
}
@article{hinton2006fast,
  title={A fast learning algorithm for deep belief nets},
  author={Hinton, Geoffrey E and Osindero, Simon and Teh, Yee-Whye},
  journal={Neural computation},
  volume={18},
  number={7},
  pages={1527--1554},
  year={2006},
  publisher={MIT Press}
}
@inproceedings{krizhevsky2012imagenet,
  title={Imagenet classification with deep convolutional neural networks},
  author={Krizhevsky, Alex and Sutskever, Ilya and Hinton, Geoffrey E},
  booktitle={Advances in neural information processing systems},
  pages={1097--1105},
  year={2012}
}
@article{nair2015massively,
  title={Massively parallel methods for deep reinforcement learning},
  author={Nair, Arun and Srinivasan, Praveen and Blackwell, Sam and Alcicek, Cagdas and Fearon, Rory and De Maria, Alessandro and Panneershelvam, Vedavyas and Suleyman, Mustafa and Beattie, Charles and Petersen, Stig and others},
  journal={arXiv preprint arXiv:1507.04296},
  year={2015}
}
@article{wang2015dueling,
  title={Dueling network architectures for deep reinforcement learning},
  author={Wang, Ziyu and Schaul, Tom and Hessel, Matteo and Van Hasselt, Hado and Lanctot, Marc and De Freitas, Nando},
  journal={arXiv preprint arXiv:1511.06581},
  year={2015}
}
@inproceedings{osband2016deep,
  title={Deep exploration via bootstrapped DQN},
  author={Osband, Ian and Blundell, Charles and Pritzel, Alexander and Van Roy, Benjamin},
  booktitle={Advances in neural information processing systems},
  pages={4026--4034},
  year={2016}
}
@inproceedings{mnih2016asynchronous,
  title={Asynchronous methods for deep reinforcement learning},
  author={Mnih, Volodymyr and Badia, Adria Puigdomenech and Mirza, Mehdi and Graves, Alex and Lillicrap, Timothy and Harley, Tim and Silver, David and Kavukcuoglu, Koray},
  booktitle={International conference on machine learning},
  pages={1928--1937},
  year={2016}
}
@inproceedings{sutton2000policy,
  title={Policy gradient methods for reinforcement learning with function approximation},
  author={Sutton, Richard S and McAllester, David A and Singh, Satinder P and Mansour, Yishay},
  booktitle={Advances in neural information processing systems},
  pages={1057--1063},
  year={2000}
}
@article{lillicrap2015continuous,
  title={Continuous control with deep reinforcement learning},
  author={Lillicrap, Timothy P and Hunt, Jonathan J and Pritzel, Alexander and Heess, Nicolas and Erez, Tom and Tassa, Yuval and Silver, David and Wierstra, Daan},
  journal={arXiv preprint arXiv:1509.02971},
  year={2015}
}
@article{mnih2015human,
  title={Human-level control through deep reinforcement learning},
  author={Mnih, Volodymyr and Kavukcuoglu, Koray and Silver, David and Rusu, Andrei A and Veness, Joel and Bellemare, Marc G and Graves, Alex and Riedmiller, Martin and Fidjeland, Andreas K and Ostrovski, Georg and others},
  journal={Nature},
  volume={518},
  number={7540},
  pages={529},
  year={2015},
  publisher={Nature Publishing Group}
}
@article{hinton2006reducing,
  title={Reducing the dimensionality of data with neural networks},
  author={Hinton, Geoffrey E and Salakhutdinov, Ruslan R},
  journal={science},
  volume={313},
  number={5786},
  pages={504--507},
  year={2006},
  publisher={American Association for the Advancement of Science}
}
@Misc{CNN2017,
howpublished = {\url{https://www.cnblogs.com/skyfsm/p/6790245.html}},
title = {卷积神经网络CNN总结},
author = {Madcola},
year={2017}
}


text:
@article{PODDA2022101816,
title = {Fully-automated deep learning pipeline for segmentation and classification of breast ultrasound images},
journal = {Journal of Computational Science},
volume = {63},
pages = {101816},
year = {2022},
issn = {1877-7503},
doi = {https://doi.org/10.1016/j.jocs.2022.101816},
url = {https://www.sciencedirect.com/science/article/pii/S187775032200182X},
author = {Alessandro Sebastian Podda and Riccardo Balia and Silvio Barra and Salvatore Carta and Gianni Fenu and Leonardo Piano},
keywords = {Breast cancer diagnosis, Ultrasound images, Convolutional Neural Networks},
abstract = {Breast cancer is the most prevalent type of cancer among the female world population. Its early detection has a crucial role in enhancing the effectiveness of treatments, as well as reducing serious complications and deaths. Ultrasound imaging represents a standard diagnostic technique for this purpose, due to its low invasiveness and cost. However, as this technique is susceptible to a certain degree of uncertainty, computer-aided solutions have been proposed in recent years to reduce the operator workload and improve the accuracy of diagnoses. Following this trend, the present study aims to design and propose a fully-automated and multi-layer pipeline for the segmentation and classification of breast lesions associated with cancer risk, from ultrasound images. To achieve this goal, we first evaluate and compare the performance of several Convolutional Neural Network (CNN) architectures in tackling the above tasks. Then, we combine the performance of such networks through specialized ensembles, to better discriminate among heterogeneous cases. Lastly, we present a novel step of cyclic mutual optimization that exploits the intermediate results of the classification step to improve the segmentation outcome and vice versa, in an iterative manner. Experimental findings obtained on public datasets show the superiority of the ensemble methods over the individual networks. Moreover, with a Dice coefficient of ∼82% in the segmentation task and an accuracy of ∼91% in the classification task, our best configuration also shows to be competitive with respect to the state-of-the-art.}
}


text:
require gpe-bluetooth.inc

DEPENDS = "gtk+ libdisplaymigration libgpewidget openobex libgpevtype bluez-libs sqlite dbus-glib libglade blueprobe bluez-utils-dbus libcontactsdb"


text:
# This file contains macros and functions for including remote source code repositories.
include(IncludeExternalProject)

macro(opencv_extern path)
    set(OpenCV_FIND_COMPONENTS "${OpenCVComponents}")
    set(OpenCV_FOUND FALSE)
    if( EXISTS "${path}/OpenCVConfig.cmake" )
        include( "${path}/OpenCVConfig.cmake" )
    elseif (EXISTS "${path}/build/OpenCVConfig.cmake")
        include( "${path}/build/OpenCVConfig.cmake" )
    endif()

    #check version
    if (DEFINED OpenCV_VERSION)
        if(${OpenCV_VERSION} VERSION_LESS ${OpenCVVersion})
            set(OpenCV_VERSION_OK FALSE)
        else()
            set(OpenCV_VERSION_OK TRUE)
        endif()

        if(NOT ${OpenCV_VERSION_OK})
            message(FATAL_ERROR "OpenCV version ${OpenCV_VERSION} found in ${OpenCV_INCLUDE_DIRS}, "
                       "but at least version ${version} is required")
        endif()
        set(OpenCV_FOUND TRUE)
        message(STATUS "OpenCV version: ${OpenCV_VERSION}")
    endif()
endmacro()

macro(opencv_repo extern_path)
    string(REPLACE ";" "," build_list "-DBUILD_LIST=${OpenCVComponents}")

    if (${OpenCVContrib})
        set(OpenCVCMakeArgs "${OpenCVCMakeArgs} -DOPENCV_EXTRA_MODULES_PATH=${extern_path}/managed_opencv_contrib/src/managed_opencv_contrib/modules")
        IncludeExternalProject( managed_opencv_contrib ${extern_path}
        GIT_REPOSITORY https://github.com/opencv/opencv_contrib.git
        GIT_TAG "${OpenCVVersion}"
        INSTALL_COMMAND ""
        BUILD_COMMAND ""
        CONFIGURE_COMMAND ""
        LOG_DOWNLOAD ON
        LOG_CONFIGURE ON
        CONF_ONLY ON
    )
    endif()

    foreach(flag ${OpenCVBuildFlags})
	    list(APPEND build_flags "DCMAKE_CXX_FLAGS=${flag}")
    endforeach()
    IncludeExternalProject( managed_opencv ${extern_path}
        GIT_REPOSITORY https://github.com/opencv/opencv.git
        GIT_TAG "${OpenCVVersion}"
        INSTALL_COMMAND ""
        CMAKE_ARGS "${OpenCVCMakeArgs}" "${build_list}" "${build_flags}"
        LOG_DOWNLOAD ON
        LOG_CONFIGURE ON
        CONF_ONLY ON
    )

    opencv_extern("${extern_path}/managed_opencv/src/managed_opencv-build")
endmacro()

set(OpenCVDetectionModes Auto System Extern Managed)
set(OpenCVDetectionMode Auto CACHE STRING "OpenCV detection mode: Auto - try system, then extern, then managed; System - use lib from system; Extern - use lib from extern folder varibale; Managed - get from repository")
set(OpenCVExternPath "${PROJECT_SOURCE_DIR}/extern/opencv/build" CACHE PATH "Path to extern lib")
set_property(CACHE OpenCVDetectionMode PROPERTY STRINGS ${OpenCVDetectionModes})
set(OpenCVVersion "4.0.1" CACHE STRING "Managed opencv version")
set(OpenCVComponents core imgproc highgui video videoio imgcodecs features2d objdetect photo xfeatures2d line_descriptor cudev cudaarithm cudaimgproc cudafilters CACHE STRING "OpenCV components to include")
set(OpenCVCMakeArgs "-DCMAKE_BUILD_TYPE=Release -DBUILD_SHARED_LIBS=OFF -DBUILD_TESTS=OFF -DBUILD_PERF_TESTS=OFF -DBUILD_WITH_DEBUG_INFO=OFF -DBUILD_EXAMPLES=OFF -DBUILD_DOCS=OFF -DBUILD_NEW_PYTHON_SUPPORT=OFF -DBUILD_PACKAGE=OFF -DWITH_FFMPEG=ON -DWITH_IPP=OFF -DBUILD_PNG=OFF -DBUILD_JPEG=ON -DBUILD_ZLIB=ON -DWITH_CUDA=ON" CACHE STRING "Custom cmake arguments")
set(OpenCVBuildFlags -std=c++11 -fPIC -ffast-math CACHE STRING "Use C++ compiler flags")

set(OpenCVContrib ON CACHE BOOL "Also get opencv contrib modules")

list(FIND OpenCVDetectionModes ${OpenCVDetectionMode} index)
if(index EQUAL -1)
    message(WARNING "No valid mode (${OpenCVDetectionModes}) selected. Mode is set to Auto")
    set(OpenCVDetectionMode Auto)
endif()

if (${OpenCVDetectionMode} STREQUAL System)
    find_package(OpenCV ${OpenCVVersion} REQUIRED)
elseif  (${OpenCVDetectionMode} STREQUAL Extern)
    opencv_extern(${OpenCVExternPath} ${OpenCVVersion} "${OpenCVComponents}" FALSE)
    if (NOT ${OpenCV_FOUND})
        message(FATAL_ERROR "OpenCV doesn't exist on extern path: ${OpenCVExternPath}")
    endif()
elseif (${OpenCVDetectionMode} STREQUAL Managed)
    opencv_repo("${PROJECT_SOURCE_DIR}/extern" ${OpenCVVersion} "${OpenCVComponents}" )
else ()
    find_package(OpenCV ${OpenCVVersion} QUIET COMPONENTS "${OpenCVComponents}")
    if (NOT ${OpenCV_FOUND})
        opencv_extern(${OpenCVExternPath} ${OpenCVVersion} "${OpenCVComponents}" TRUE)
    endif()
    if (NOT ${OpenCV_FOUND})
        opencv_repo("${PROJECT_SOURCE_DIR}/extern" ${OpenCVVersion} "${OpenCVComponents}")
    endif()
    if (NOT ${OpenCV_FOUND})
         message(FATAL_ERROR "Failed to detect opencv!")
    endif()
endif()

set(OpenCV_INCLUDE_DIR "${OpenCV_INCLUDE_DIRS}")
set(OpenCV_LIBRARY_DIRS "${OpenCV_INSTALL_PATH}/lib")
set(OpenCV_LIBRARY_DIR "${OpenCV_LIBRARY_DIRS}")
set(OpenCV_LIBRARIES "${OpenCV_LIBS}")

repository: waterben/LineExtraction

repo_name: waterben/LineExtraction


text:
file(REMOVE_RECURSE
  "CMakeFiles/asio_chat_loadtest.dir/loadtest.o"
  "asio_chat_loadtest.pdb"
  "asio_chat_loadtest"
)

# Per-language clean rules from dependency scanning.
foreach(lang CXX)
  include(CMakeFiles/asio_chat_loadtest.dir/cmake_clean_${lang}.cmake OPTIONAL)
endforeach()

gha_license_id: NOASSERTION


text:
require ortp.inc
DEPENDS = "glib-2.0 openssl"
PR = "${INC_PR}.1"

SRC_URI[md5sum] = "098e984f9325d9e2648bfd9863eed501"
SRC_URI[sha256sum] = "02c6d9dae910ce9f5af6f0c69d21b511f2744fdf4df6d1141b7329d0624ffdb1"


text:
require gst-rtsp.inc

SRC_URI[md5sum] = "3c2e0bf09bb66e302b6c64cb9e8f1eb6"
SRC_URI[sha256sum] = "53f352442db7b802248ea239b702e5db7e8fb5fe852f90e4e73c90204aa759c5"

repository: trini/openembedded

repo_name: trini/openembedded


text:
@InProceedings{xu12a,
  title = {Statistical Optimization in High Dimensions},
  author = {Huan Xu and Constantine Caramanis and Shie Mannor},
  pages = {1332--1340},
  abstract = {We consider optimization problems whose parameters are known only approximately, based on a noisy sample. Of particular interest is the high-dimensional regime, where the number of samples is roughly equal to the dimensionality of the problem, and the noise magnitude may greatly exceed the magnitude of the signal itself. This setup falls far outside the traditional scope of Robust  and Stochastic optimization. We propose three algorithms to address this setting, combining ideas from statistics, machine learning, and robust optimization. In the important case where noise artificially increases the dimensionality of the parameters, we show that combining robust optimization and dimensionality reduction can result in high-quality solutions at greatly reduced computational cost.},
  pdf = {http://jmlr.org/proceedings/papers/v22/xu12a/xu12a.pdf},
}

repository: mreid/papersite

repo_name: mreid/papersite