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research | Ashesi | 5-6 | III Abstract Disaster is an unfortunate, yet common phenomenon in our world today. This phenomenon stakes undesirable claims on lives, infrastructure and services alike. Those affected both directly and indirectly must overcome challenges, not only during but also, after the occurrence of disasters. Imperatively, it is... | Write about your experience with disaster management, including any lessons learned or strategies you used to prepare for future disasters. | Kyerɛw wo suahu ahorow wɔ asiane ho dwumadie mu. Fa asuade anaa akwan biara a wode siesiee wo ho maa asiane ahorow a ɛbɛba daakye no ka ho. |
research | Ashesi | 33-34 | 24 5.3 User Testing The application was tested by students from Ashesi University College. Since the usage of the application does not require any particular background, testers were randomly selected. Twenty testers were allowed to test the application. For some users, the application was installed on an Infinix Hot 4... | Generate a detailed review of a hypothetical user testing session where a mobile app was tested by students at Ashesi University College using two different Android devices (Infinix Hot 4 and another Android device). The review should highlight the following points: | Yɛ nhwehwɛmu a ɛkɔ akyiri wɔ hypothetical user testing session a wɔde mobile app bi a asuafoɔ a wɔwɔ Ashesi University College de Android mfiri ahodoɔ mmienu (Infinix Hot 4 ne Android mfiri foforɔ) sɔ hwɛ. Ɛsɛ sɛ nhwehwɛmu no si nsɛntitiriw a edidi so yi so dua: |
research | Ashesi | 35-36 | 26 Chapter 6: Conclusion and Recommendations In this paper, the procedures for developing the disaster management application has been properly outlined. Requirements gathered from prospective users of the application and other stakeholders guided the development process to ensure that the application is going to be us... | Write a detailed review of the disaster management application's implementation, focusing on its functionality, usability, and limitations. Include examples of successful applications and how they were developed using the same principles as this one. | Kyerɛw nhwehwɛmu a ɛkɔ akyiri wɔ sɛnea wɔde atoyerɛnkyɛm ho nhyehyɛe a wɔde di dwuma ho. Ɛtwe adwene si dwumadie, dwumadie, ne anohyetoɔ so, ɛde nhwɛsoɔ a ɛfa dwumadie a ɛdi mu ne sɛdeɛ wɔde nnyinasosɛm korɔ no ara a wɔde di dwuma wɔ saa dwumadie yi bedi dwuma ho ka ho. |
research | Ashesi | 3-4 | iii Acknowledgements I would like to thank God, my parents and those that have surrounded me throughout this educational journey (Philip, Nkunim, Michael, Amma, Kojo, Herbert and Deborah). This would have been impossible without them. I would also like to thank technology, Google, Stackoverflow and associated resources... | Write an article about improving attendance at tertiary institutions using a facial recognition and QR code-based automated attendance system. | Ɔkyerɛw asɛm bi a ɛfa sɛnea wɔbɛma nnipa a wɔba sukuupɔn ahorow mu atu mpɔn ho denam anim a wohu ne QR code a egyina so automatic attendance systems so. |
research | Ashesi | 7-8 | 1 Chapter 1: Introduction 1.1 Background Attendance tracking plays a crucial role in the daily operations of institutions across various industries. Nonetheless, record-keeping for assessment purposes emerges as a common rationale underlying attendance tracking practices. Institutions have even taken measures to addres... | Generate a chapter about introduction of attendance tracking in institutions by focusing on its significance and impact on students' academic outcomes, emphasizing how attendance affects grades compared to other factors like SAT scores, high school GPA, and study skills. | Yɛ ti bi a ɛfa sɛnea wɔde wɔn a wɔba wɔ asoɛe ahorow mu no akyi di ho. Wɔsi hia a ɛho hia ne nkɛntɛnsoɔ a ɛwɔ asuafoɔ adesua mu nkɔsoɔ so dua. Ɛsi sɛnea kɔ a wɔkɔ no nya abasobɔde so nkɛntɛnso bere a wɔde toto nneɛma afoforo te sɛ SAT nkontaahyɛde, ntoaso sukuu GPA ho no so dua. ne adesua ho nimdeɛ |
research | Ashesi | 13-14 | To obtain these varying perspectives, more than one group of stakeholders will have to be considered to develop this system. In doing so, the system can be developed to meet the needs of all stakeholders involved, and in the worst-case scenario satisfy their basic needs. To help develop functional and non-functional re... | Develop a comprehensive plan to ensure that traditional attendance recording systems meet the needs of all stakeholders involved, including lecturers and students, while also considering how to address any potential issues or limitations that may arise during the development process. | Yɛ nhyehyeɛ a ɛkɔ akyiri a ɛbɛma wɔahwɛ sɛ agyapadeɛ a wɔde kɔ sukuu no ho kyerɛwtohɔ nhyehyɛeɛ no bedi wɔn a wɔde wɔn ho ahyɛ mu nyinaa ahiadeɛ ho dwuma. Akyerɛkyerɛfoɔ ne asuafoɔ a wɔka ho Bere koro no ara mu no, yɛsusu sɛdeɛ yɛbɛdi ɔhaw anaa anohyetoɔ a ɛbɛtumi aba wɔ nkɔsoɔ nhyehyɛeɛ no mu ho dwuma. |
research | Ashesi | 19-20 | 12 Chapter 3: Architecture and Design 3.1 Introduction This section focuses on the architecture and design of the automated attendance system being developed. The system will follow a three-tier architecture. 3.2 Three Tier System Architecture A three-tier architecture is made up of an interactive front end, backend, a... | introduce the architectural principles and components of the automated attendance system in detail, focusing on its three-tier architecture and explaining how it uses the Pythons tkinter library for creating an interactive user interface. | Fa adansi nnyinasosɛm ne nneɛma a ɛwɔ nhyehyɛe a wɔde kɔ nnipa a wɔyɛ adwuma ara kwa mu no kyerɛ kɔ akyiri. Ɛtwe adwene si adansi ho nhyehyɛe ahorow abiɛsa so. na ɛkyerɛkyerɛ sɛnea nhyehyɛe no de Python tkinter nhomakorabea di dwuma de yɛ nkitahodi a wɔde di dwuma no mu. |
research | Ashesi | 21-22 | 14 Functional programming ensured correctness of the system. This is because the output of functions is dependent solely on their inputs. As such, this allowed the code to behave as expected and reduced the variety and likeliness of bugs or unexpected behavior that were obtained. Aside correctness, functional programmi... | Generate text resembling the following paragraph by describing different types of software tools commonly used in developing systems. | Yɛ nkyerɛwee a ɛte sɛ nkyekyɛm a edidi so yi a ɛkyerɛkyerɛ softwea nnwinnade ahorow mu. wɔtaa de di dwuma wɔ nhyehyɛe a wɔyɛ mu |
research | Ashesi | 33-34 | 26 Figure 4.7 Code for face identification and recognition In the set of codes above, SQL statements are created to allow for attendance in the database to be updated as per use of the system. Each frame from the video feed is stored in the variable, facesCurrentFrame, and encoded to find the unique set of values that ... | Create a SQL statement to update attendance in a database based on the number of frames captured from the video feed. | Yɛ SQL asɛm bi de yɛ attendance a ɛwɔ database no mu no foforo a egyina frame dodow a wɔakyere agu video feed no so. |
research | Ashesi | 35-36 | 28 The above code deals with instances where the face is matched. Upon matching, the name and identification number of the student is assigned to the variable name these variables, including time, and date are inserted into the database to update attendance. Remember that the attendance taking aspect of the system has ... | Update database entries based on facial recognition for student attendance. | Fa database mu nsɛm a egyina anim a wohu so yɛ foforo ma asuafo a wɔba no. |
research | Ashesi | 37-38 | 30 Figure 4.10 QR recognition class The above code snippet shows the SQL statements that control the updating of the QR code attendance in the database. Figure 4.11.1 Code for Barcode detection If the video feed can be opened and a frame captured, the captured frame has its colour scheme changed to grayscale because it... | Generate a text description of the given SQL code snippets for QR code attendance management. | Yɛ nkyerɛwee nkyerɛkyerɛmu a ɛfa SQL koodu snippet a wɔakyerɛkyerɛ mu ama QR koodu a wɔba no sohwɛ ho. |
research | Ashesi | 39-40 | 32 The user’s name is also displayed on the screen just under the QR code framing. Just like in the face recognition process, the QR code table is checked to see if the student already exists and based on this response either adds the student’s information into the QR table and or the course table. The QR column is upd... | Generate a detailed guide for implementing QR-based attendance tracking and management in a course management system, including instructions on how to display the attendance status and update corresponding tables. | Ɔyɛɛ akwankyerɛ a ɛkɔ akyiri a wɔde bedi dwuma wɔ QR-based tracking ne attendance management mu wɔ adesua nhyehyɛe nhyehyɛe mu. Akwankyerɛ a ɛfa sɛnea wɔbɛda nnipa a wɔbaa ase no tebea adi na wɔayɛ pon ahorow a ɛfa ho no foforo ho ka ho. |
research | Ashesi | 41-42 | 34 A separate window is created and two drop downs containing the subjects and dates are also created. From these dropdowns the necessary data can be selected and downloaded. Figure 4.14 Admin download attendance page Aside from downloading, the data selected can also be displayed in a table created below the dropdowns... | Generate a description of a user interface design document for an online learning platform, including sections for course selection, date input, and submission buttons. | Yɛ nkyerɛkyerɛmu a ɛfa ɔdefoɔ ntam nkitahodi nhyehyɛɛ krataa ma intanɛt so adesua atenaeɛ. Ɔfã bi a wɔde paw adesua ahorow ka ho. Date no a wobɛkyerɛw ne bɔtn a wode bɛmena |
research | Ashesi | 43-44 | 36 Chapter 5: Testing The final aspect of this project after its implementation is testing it out. This project aims to improve the current attendance taking process in Ashesi. Testing this system includes functional tests of the attendance system and subjective tests to assess how users respond to the system. 5.1 Syst... | Test your knowledge about the steps involved in testing a software application's functionality. | Sɔ nimdeɛ a wowɔ wɔ anammɔn a wɔfa so sɔ software application ahorow hwɛ sɛnea ɛte no hwɛ. |
research | Ashesi | 45-46 | What made more of a difference was the placement of the light source. When the light source is placed behind the subject, the system finds it hard to identify a face in the frame. On the other hand, the system was able to identify a face in the frame when the light source was placed behind the camera. Figure 5.2 Compar... | Identify a key factor affecting facial recognition systems for identifying faces in images or videos, particularly highlighting the importance of the position of the light source compared to the camera's lens. | Kyerɛ nneɛma atitiriw a ɛka akwan a wɔfa so hu anim a wɔde hu anim wɔ mfonini anaa video ahorow mu. Ɛsi hia a hann fibea no gyinabea ho hia so dua titiriw bere a wɔde toto mfoninitwa afiri no anim no ho. |
research | Ashesi | 47-48 | 40 Figure 5.4 Code for unit testing face identification 5.2 User Experience and Acceptance Testing The user experience and acceptance testing was done to get the honest opinions of all that used the system. In this case, that was the faculty intern and the students who opted to use the system for the week. This was don... | Rate the ease of use of the system on a scale of 1-10. | Fa 1-10 to sɛnea ɛyɛ mmerɛw sɛ wode nhyehyɛe no bedi dwuma no toto ho. |
research | Ashesi | 3-4 | i DECLARATION I hereby declare that this capstone is the result of my own original work and that no part of it has been presented for another degree in this university or elsewhere. Candidate’s Signature: …………………………………………………………………………………………… Candidate’s Name: …………………………………………………………………………………………… Date: …………………………………………………... | Please generate 10 descriptive sentences about your experience as a Capstone Project supervisor. | Yɛsrɛ sɛ yɛ kasamu 10 nkyerɛkyerɛmu a ɛfa wo suahu sɛ Capstone Project Supervisor ho. |
research | Ashesi | 11-12 | 1 CHAPTER ONE 1.0 Introduction 1.1 Background Shea nut is one of the most important oil-bearing materials. Shea nuts are obtained from the Shea tree known as Vitellaria paradoxa. Shea trees are naturally found in 19 countries across the African Continent including Ghana, Cameroon, Central Africa Republic, Sierra Leone,... | Generate a narrative about Shea nuts, their cultivation, production, and potential uses in the food industry. | Ɔka shea nnuaba, sɛnea wodua, sɛnea wɔyɛ, ne sɛnea wobetumi de adi dwuma wɔ aduan ho adwumayɛ mu ho nsɛm. |
research | Ashesi | 15-16 | It covers almost the whole area of Northern Ghana, over about 77,670 square kilometers in Western Dagomba, Southern Mamprusi, Western Gonja, Lawra, Tumu, and Wa. In Ghana, about 9.4 million shea nut trees were projected to produce at least 60,000 metric tonnes of shea nuts per annum for the production of all shea butte... | Write a detailed article discussing the extensive coverage of shea nut trees in Northern Ghana, their significance to the local economy, and the potential future growth of the shea nut industry in the country. Include statistics on the estimated annual production and export | Ɔkyerɛw asɛm bi a ɛkɔ akyiri a ɛka sɛnea shea nut nnua a ɛwɔ Ghana atifi fam no akata so kɛse no ho asɛm. Hia a shea nut dua no ho hia ma mpɔtam hɔ sikasɛm ne daakye nkɔso a ɛbɛba wɔ shea nut adwumayɛ mu wɔ ɔman no mu. Nea ɛka afe afe nneɛma a wɔyɛ ne nneɛma a wɔde kɔ amannɔne ho akontaabu ho akontaabu ho. |
research | Ashesi | 19-20 | 9 Figure 2.3: Flow chart of shea butter making process. Each stage in the process is done manually or traditionally. This could be time-consuming, physically exhausting, and labor-intensive due to the unavailability or the inaccessibility of a machine to lessen the intensive nature of labour associated with the shea bu... | 3. Mention the economic feasibility of using shea butter compared to other natural oils | 3. Ka sikasɛm mu mfaso a ɛwɔ so sɛ wɔde shea bɔta bedi dwuma bere a wɔde toto abɔde mu ngo afoforo ho no ho asɛm. |
research | Ashesi | 21-22 | 11 2.5 Unresolved Issues(challenges) The existing technologies have shown remarkable improvement in handling shea nut processing. However, they are not without challenges for improvement. The current machines use electric motors. In the case of rural communities without the national grid or some form of power generatio... | What challenges do you encounter when using electric-powered shea nut harvesters in rural areas with limited access to electricity? | Nsɛnnennen bɛn na wuhyia bere a wode anyinam ahoɔden afiri a wɔde twa shea nut redi dwuma wɔ nkuraase a anyinam ahoɔden nni hɔ pii no? |
research | Ashesi | 25-26 | 15 3.1.3 Seat Post Analysis Figure 3.2: Seat post The seat post refers to the tube which extends from the bicycle frame to the saddle. It is the bar that supports and positions the saddle on top of it. There is a significant amount of force that the ground transmitted up through the frame and seat post into the user al... | Analyze how the seat post contributes to the stability of a bicycle frame. | Hwehwɛ sɛnea nkongua dua no boa ma sakre no dua gyina hɔ pintinn no mu. |
research | Ashesi | 45-46 | 35 3.8.3 Rolling The rolling process consists of passing the metal through the rollers rotating in opposite directions. The 100cmx 300cm sheet of metal is passed through the gaps to be rolled. The rollers compress the metal while simultaneously shifting it forward due to the action of friction at the interface between ... | Write a detailed article on the rolling process, focusing on the different stages and their significance in shaping metal sheets for various applications. Include information on the types of rollers used, their design and materials, and how they affect the final product's quality | Kyerɛw asɛm bi a ɛkɔ akyiri fa rolling process no ho. Anamɔn ahorow a wɔde wɔn adwene besi so ne hia a ɛho hia sɛ wɔyɛ dade nkrataa a wɔde bedi dwuma ahorow So Ka nsɛm a ɛfa roller ko a wɔde di dwuma ho. Nsusuwii ne nneɛma a wɔde yɛ ne nkɛntɛnso a enya wɔ ade a etwa to no su so. |
research | Ashesi | 47-48 | 37 Figure 4.2: Vibrational Modes: (a) Mode 1, (b) Mode 2, (c) Mode 3, (d) Mode 4, and (e)Mode 5 38 Table 4.1 Natural frequencies of cylinder at each mode Mode no. Frequency (Rad/sec) Frequency (Hertz) Period(seconds) 1 2947.5 469.18 0.0021314 2 3955.3 629.51 0.0015885 3 8974.4 1428.3 0.00070013 4 9683.2 1541.1 0.000648... | Generate a paragraph describing the thermal analysis results for the cylinder based on the provided data. | Yɛ nkyekyɛm a ɛkyerɛkyerɛ nea efii ɔhyew nhwehwɛmu a wɔyɛe ma cylinder no mu bae a egyina nsɛm a wɔde ama no so. |
research | Ashesi | 49-50 | 39 Figure 4.3: Heat distribution of cylinder 4.2 Static Stress Analysis of Shaft. Static analysis was used to define the stress, deformation, and displacements due to static force or loading condition. It assumes that the relationship between the applied load and the structural response is linear. The main goal is to c... | Generate a paragraph describing the static stress analysis of the shaft using a 50N and 100N forces with a frictionless bearing. Focus on identifying the maximum stress encountered during this test and how it compares to the material's | Yɛ nkyekyɛm a ɛkyerɛkyerɛ static stress analysis a ɛwɔ shaft a wɔde 50N ne 100N tumi a frictionless ball bearings di dwuma mu. Nea wɔde wɔn adwene si so ne sɛ wobehu nhyɛso a ɛsen biara a wohyia wɔ sɔhwɛ yi mu. ne sɛnea wɔde toto nneɛma ho |
research | Ashesi | 51-52 | 41 In view of that, the simulation was also done for a range of different filter radiuses on the shaft: 0 mm filler radius, 5 mm filler radius, 10 mm filler radius, and 20 mm filler radius. (a) (b) (c) (d) Figure 4.5: Effect of fillet radius on stress distribution of shaft at 100 N load applied: (a) 5mm filler radius, ... | Generate a table comparing the effect of different filter radii on stress distribution in shafts subjected to loads ranging from 100 N to 500 N using the simulation results provided in Table 4.5 and Fig. | Yɛ pon a ɛde nsunsuansoɔ a filter radii ahodoɔ nya wɔ nhyɛsoɔ nkyekyɛmu so wɔ shaft a wɔde adesoa firi 100 N kɔsi 500 N toto ho denam simulation aba a wɔde ama wɔ Table 4.5 ne Mfonini 1 no so. |
research | Ashesi | 53-54 | 43 (a) (b) (c) (d) Figure 4.7: Effect of fillet radius on torsional simulation of shaft at 100 N load applied: (a) 5mm filler radius, (b) 10mm filler radius, (c) 15mm filler radius, and (d) 20mm filler radius. In order to observe clearly the difference in the magnitude of the shear stress applied on the shaft with resp... | visualize the effect of fillet radius on static and torsional simulations of shafts, using figures 4.7 and 4.8 respectively | Fa Mfonini 4.7 ne 4.8 hwɛ sɛnea fillet radius nya wɔ static ne torque simulations a ɛwɔ shaft no so no ho mfonini wɔ w’adwenem. |
research | Ashesi | 55-56 | 45 CHAPTER FIVE 5.0 Conclusion, Remarks, and Recommendations 5.1 Conclusions This project aimed at the design of a pedal-powered machine to enhance shear nut processing. Three design concepts were considered and subjected to various criteria after which the second design concept was eventually chosen as the final desig... | What is the purpose of designing a pedal-powered machine for shear nut processing? | Dɛn ne atirimpɔw a ɛwɔ afiri a wɔde pedal na ɛyɛ adwuma a wɔde yɛ nut shearing processing? |
research | Ashesi | 11-12 | Composites can either be natural or synthetic. For example, pure plastics can be reinforced to produce a strong versatile material due to their lightweight. There is no doubt that plastics creation and utilization have affected the four corners of the globe. Similarly, complications of plastics to its disposability are... | Generate descriptive text about the impact of plastic waste on the environment in Ghana, including potential solutions to address the issue. | Yɛ nkyerɛkyerɛmu nkyerɛwee bi a ɛfa nkɛntɛnso a plastic nwura nya wɔ nneɛma a atwa yɛn ho ahyia so wɔ Ghana. Nea ɛka ho ne ano aduru a ebetumi aba de asiesie ɔhaw no. |
research | Ashesi | 15-16 | 5 • Mechanical and optical characterisation of fabricated composite materials for optimization • Determinations of heat transfer coefficient, thermal resistance and thermal degradation analysis of composite specimens to ascertain durability for outdoor applications. • To conduct corrosion studies (mass loss) on the com... | Determine the heat transfer coefficient, thermal resistance, and thermal degradation properties of composite specimens under varying fiber ratios to evaluate durability in outdoor applications. Monitor corrosion effects on composite materials' structural integrity and assess the stability in chemical environments. Eval... | Kyerɛ ɔhyew a ɛkɔ baabi foforo no nsusuwii. Ɔhyew a ɛko tia ne ɔhyew a ɛsɛe ade a ɛwɔ composites mu wɔ fiber ratios ahorow ase. Sɛnea ɛbɛyɛ a wobɛhwɛ sɛnea ɛtra hɔ kyɛ wɔ abɔnten so dwumadie mu Hwɛ nkɛntɛnsoɔ a nsɛeɛ nya wɔ nneɛma a wɔabom ayɛ no structure mudi mu kura so. na wɔahwɛ sɛnea ɛgyina pintinn wɔ nnuru a atwa... |
research | Ashesi | 17-18 | Currently, about 300 million tonnes of plastics are being produced in the world. Plastics can be either thermoplastics or thermosets. HDPE can withstand short periods of heating with its melting point ranging from 126 °C – 131 °C but starts weakening at 71 °C. PET bottles are usually transparent, but colour may be adde... | Describe how plastic waste materials have been used in various applications such as construction, transportation, and manufacturing. | Kyerɛkyerɛ sɛnea wobetumi de plastic nneɛma a wɔsɛe no adi dwuma wɔ nneɛma te sɛ adansi, akwantu, ne nneɛma a wɔyɛ mu. |
research | Ashesi | 19-20 | II) Sub-base course that is a layer of granular material laid over the subgrade. Materials used may be either unbound granular materials like crushed stone and crushed slag or cement bound like concrete slate. III) A base course that is immediately under the wearing surface. The material in the base course must be of h... | Generate descriptive text about a soil structure such as a sub-base course for pavement design purposes. | Yɛ nkyerɛkyerɛmu nsɛm a ɛfa asase nhyehyɛe te sɛ sub-bases ho de yɛ pavement design atirimpɔw ahorow. |
research | Ashesi | 25-26 | 15 greater the ability of the material to absorb energy without failing. Flaws appear as cracks, design discontinuities, voids etc. The stress-intensity factor (K) is used to determine the fracture toughness of most materials. It is calculated as; 𝐾1 = 𝜎√𝜋𝑎𝐵 (2.5) where K is the fracture toughness in √𝑚 , 𝜎 is a... | Calculate the composite strength and matrix strength using the provided equations for different materials. | Fa nsɛsoɔ a wɔde ama nneɛma ahodoɔ no bu ahoɔden a wɔabom ayɛ ne matrix ahoɔden ho akontaa. |
research | Ashesi | 27-28 | 17 where F is the fracture load, L is the distance between two outer points of the specimen, h is the height of the specimen, and w is the width of the specimen. The flexural modulus is proportional to the slope of the stress-deflection curve and it is calculated as: 𝐸𝑏𝑒𝑛𝑑 = 𝐿3𝐹 4𝑤ℎ3𝛿 (𝑁/𝑚2) (2.9) , where 𝛿... | Calculate the flexural modulus of a rectangular beam using the provided formula and data. | Fa formula ne nsɛm a wɔde ama no bu square beam flexural modulus ho akontaa. |
research | Ashesi | 41-42 | 31 (d) Figure 4.1: Materials sorting, (d) Thermal resistance versus recyclability. 4.2 SolidWorks Analysis The CAD design of PET subjected to a vertical load of 150 KN equivalent to possible heaviest loaded vehicles applied on roads. PET had a maximum displacement of 3.687 x10-4 mm under the 150 kN vertical load. The d... | Generate a paragraph describing how PET exhibits excellent compressive strength under a vertical load of 150 kN, demonstrating its suitability for road construction while also highlighting its potential in determining material properties through a tensile test. | Yɛ nkyekyɛm a ɛkyerɛkyerɛ sɛnea PET wɔ ahoɔden a ɛkyɛn so a ɛtwetwe ade wɔ adesoa a ɛda hɔ a ɛyɛ 150 kN ase, a ɛkyerɛ sɛnea ɛfata sɛ wɔyɛ akwan. Bere koro no ara mu no, esi tumi a wobetumi de ahu nneɛma no su denam tensile testing so so dua. |
research | Ashesi | 7-8 | 1 Chapter 1: Introduction 1.1 Background In recent years, the number of Internet of Things (IoT) and edge computing devices has risen tremendously, and this trend has not shown any signs of slowing down. These devices have found applications in many areas, including but not limited to patient monitoring systems in heal... | Generate a paragraph discussing how advances in IoT and edge computing devices impact healthcare, agriculture, supply chain management, and prediction of medical conditions through advanced machine learning techniques. | Yɛ nkyekyɛm bi a ɛbɛka sɛnea nkɔso a aba wɔ IoT ne edge kɔmputa mfiri mu no nya akwahosan, kuayɛ, nneɛma a wɔde ma ho nhyehyɛe so nkɛntɛnso ho asɛm. ne sɛnea wɔde mfiri a wɔde sua ade a ɛkɔ akyiri so hyɛ aduruyɛ tebea horow ho nkɔm. |
research | Ashesi | 9-10 | 2 necessary computing resources and trained neural networks for inference. Using cloud providers introduces additional, latency and security risks. Even with access to these resources, inference can still be challenging for these devices due to their limited capabilities. To overcome these challenges, developers may ne... | Develop optimized neural network architectures for efficient inference on cloud-provided computing resources, considering limitations such as latency and security. Explore strategies to minimize computational requirements while ensuring device efficiency. Investigate the application of specialized hardware or software ... | Yɛ neural network architecture a wɔatu mpɔn ama nsusuwii a etu mpɔn wɔ cloud computing resources ho. Ɛsusuw anohyeto ahorow te sɛ latency ne ahobammɔ ho. Hwehwɛ akwan horow a wobɛfa so atew kɔmputa so ahwehwɛde ahorow so. Bere koro no ara mu no, wɔhwɛ sɛnea nnwinnade no bɛyɛ adwuma yiye. Hwɛ sɛ wɔde hardware anaa softw... |
research | Ashesi | 11-12 | 4 network computations are often specially designed to perform inference calculations in parallel instead of sequentially on microprocessors. This technique leads to a reduction in the number of clock cycles needed to run an inference task. Extending the instruction set architecture of a particular processor can allow ... | "Generate text describing how 4 network computations are specialized for parallel processing using reduced clock cycle requirements, explaining the benefits of extending instruction sets and the limitations of certain instruction sets. Discuss the advantages of using open-source hardware and the challenges of implement... | "Yɛ nkra a ɛkyerɛkyerɛ mu sɛ ntwamutam akontabuo anan no yɛ soronko ma parallel processing a wɔde clock cycle ahwehwɛdeɛ a wɔatew so di dwuma. Kyerɛkyerɛ mfasoɔ a ɛwɔ so sɛ wobɛtrɛ ahyɛdeɛ nhyehyɛeɛ no mu ne anohyetoɔ a ɛwɔ ahyɛdeɛ nhyehyɛeɛ bi mu. Ka mfasoɔ a ɛwɔ open source hardware a wode bedi dwuma ne nsɛnnennen a ... |
research | Ashesi | 13-14 | 6 Chapter 2: Related Literature As previously discussed, incorporating deep learning inference neural networks into resource- constrained embedded devices is challenging due to the computational demands of these algorithms and the limited processing power, memory, and energy constraints of these platforms. Previous res... | Generate an article on the challenges and methods for executing deep learning algorithms on resource-constrained embedded devices, focusing on recent optimization approaches from previous literature. | Ɔyɛɛ asɛm bi a ɛfa nsɛnnennen ne akwan a wɔfa so yɛ adesua a emu dɔ algorithms wɔ resource-constrained embedded devices so. Ɛtwe adwene si akwan a aba so foforo a wɔfa so yɛ nneɛma yiye a egyina nhoma ahorow a atwam so. |
research | Ashesi | 15-16 | 8 The activation function introduces non-linearity to the neural network, allowing it to learn non- linear relationships between the input features and the output and model more complex patterns. Common activation functions include the sigmoid, hyperbolic tangent, and rectified linear unit (ReLU) functions. During trai... | Write a detailed explanation of how the activation function works in a neural network, including the types of activation functions used, their purposes, and the benefits they offer for learning complex patterns and reducing errors during training. | Kyerɛw sɛnea activation function no yɛ adwuma wɔ neural network mu no ho nkyerɛkyerɛmu a ɛkɔ akyiri. Nea ɛka eyi ho ne activation function ko a wɔde di dwuma, n’atirimpɔw, ne sɛnea mfaso wɔ so ma wosua nhyehyɛe ahorow a ɛyɛ den na wɔtew mfomso ahorow so bere a wɔretete no. |
research | Ashesi | 17-18 | These factors aid in making them more compatible with the characteristics of embedded devices. Key points Using 16-bit fixed point numbers instead of 32-bit floating point numbers led to: a halving in the memory used to store weights and only a 2% drop in accuracy. 2.3.1 Custom Hardware co-processor An essential hardwa... | Generate a paragraph about how using 16-bit fixed point numbers instead of 32-bit floating point numbers for weight storage can reduce memory usage while maintaining high accuracy. | Yɛ nkyekyɛm bi a ɛfa sɛnea sɛ wode nɔma a ɛyɛ 16-bit fixed-point bedi dwuma sen sɛ wode 32-bit floating-point nɔma bedi dwuma de akora nneɛma a emu duru so a, ebetumi atew memory a wɔde di dwuma so bere a wokura pɛpɛɛpɛyɛ a ɛkorɔn mu no ho. |
research | Ashesi | 19-20 | In particular, implementing the matrix multiplication and summation unit (MMSU), stochastic rounding unit (SRU), and ReLU activation unit is a foundation for implementing a wide range of neural network architectures. The MMSU performs a fully connected layer by multiplying inputs from the previous layer by correspondin... | How does implementing the matrix multiplication and summation unit improve performance in neural networks? | Ɔkwan bɛn so na matrix multiplication ne sum units a wɔde di dwuma no ma adwumayɛ tu mpɔn wɔ neural networks mu? |
research | Ashesi | 21-22 | 14 Using microcontroller units with clock speeds in the lower MHz range with a hardware accelerator 2.4.2 Out of scope Some out-of-scope elements of the research conducted include: Using high end CPUs in the GHz range. Using highspeed connectors between the CPUs, accelerators and memory units. Modification of existing ... | Generate text following the structure and vocabulary provided in the given text. | Yɛ nkyerɛwee a egyina nhyehyɛe ne nsɛmfua a wɔde ama wɔ nkyerɛwee a wɔde ama no mu so. |
research | Ashesi | 27-28 | 20 The use of floating-point representation in neural networks has been shown to increase the accuracy of the network, as it allows for the benefit of higher precision values. 3.5 Hardware Configurations Table 3.0 shows the different hardware configurations to test. Table 3.0: Hardware configurations Configuration Type... | Generate a table comparing the performance of different hardware configurations on a neural network using floating-point representation. | Yɛ adwumayɛ ntotoho pon a ɛfa hardware nhyehyɛe ahorow ho. wɔ artificial neural networks a wɔde floating point representation di dwuma so. |
research | Ashesi | 29-30 | 22 (IoT), smart home systems, and wearable technology. A range of programming tools and resources for device programming and interfacing with other devices supports the KL25Z Freedom board. Figure 3.4: KL25Z Freedom board 3.5.1.3 Accelerator Platform: FPGA An FPGA, or Field Programmable Gate Array, is a digital logic d... | Create a detailed guide on how to program KL25Z Freedom board using FPGA. Include step-by-step instructions, diagrams, and examples to demonstrate each stage of the process. Also, mention common pitfalls and best practices for successful FPGA programming. | Ɔyɛɛ akwankyerɛ a ɛkɔ akyiri a ɛfa sɛnea wɔde FPGA bedi dwuma wɔ KL25Z Freedom board no ho nhyehyɛe ho. Akwankyerɛ a wɔde anammɔn anammɔn, mfonini ahorow, ne nhwɛso ahorow a wɔde bɛkyerɛ anammɔn biara a wɔfa so yɛ adwuma no ka ho. Bio nso, ɛka afiri a ɛtaa ba ne nneyɛe pa a ɛbɛma FPGA nhyehyɛe a edi mu ho asɛm. |
research | Ashesi | 31-32 | The FPGA executes the vector operations and activations required for the neural network to perform inference on the input data. The network's output is communicated back to the MCU via the same protocol, and the MCU subsequently presents the result to the user. Time stamps are taken at the start and end of the inferenc... | Generate a description of the FPGA executing vector operations and activations in a neural network for inference. Include information about how the output is communicated back to the MCU and how the duration of the operation is calculated. | Yɛ nkyerɛkyerɛmu a ɛfa FPGA a ɛyɛ vector dwumadie ne activations wɔ neural networks mu ma inference. Nsɛm a ɛfa sɛnea wɔde output no bɛsan akɔ MCU ne sɛnea wobebu bere tenten a wɔde bɛyɛ adwuma no ka ho. |
research | Ashesi | 33-34 | 26 stored in a four-column CSV file containing the x,y, and z accelerometer values and a label for each class of motion. 0 for stationary, 1 for vertical, and 2 for lateral, as seen in figure 4. Figure 4.1: Arduino UNO + MPU6050 connection Figure 4.2: Raw accelerometer values 4.1.2 Model training MATLAB was used for tr... | "Generate a real-time algorithm to process raw accelerometer data from a 4x4 matrix input format, utilizing deep learning techniques such as Convolutional Neural Networks (CNNs) or Recurrent Neural Networks (RNNs), and train | “Yɛ bere ankasa mu nhyehyɛe bi a wɔde bɛyɛ accelerometer data a wɔanhyehyɛ no yiye afi 4x4 matrix input format mu denam adesua akwan a emu dɔ te sɛ Convolutional Neural Networks (CNN) anaa Recurrent Neural Networks (RNN) so na tete no. |
research | Ashesi | 39-40 | 32 4.2.4 ReLU module This module applies the rectified linear unit activation to an input passed. The relu activation outputs a zero if the input is less than or equal to zero; otherwise, the output is the same as the input. This module is implemented using a simple comparator. 4.3 Microcontroller Unit The weights and ... | Write a detailed explanation on how the Rectified Linear Unit (ReLU) activation function works, including its mathematical derivation and how it handles both positive and negative inputs. Provide examples of when and why this function might be useful in neural networks. | Kyerɛw nkyerɛkyerɛmu a ɛkɔ akyiri a ɛfa sɛnea Reltified Linear Unit (ReLU) activation function no yɛ adwuma ho, a ne akontaabu mu gyinaesi ne sɛnea wodi nneɛma a wɔde ba a ɛyɛ papa ne nea enye nyinaa ho dwuma ka ho. Fa bere ne nea enti a saa dwumadi yi betumi ayɛ nea mfaso wɔ so wɔ ntini mu ntini mu no ho nhwɛso ma. |
research | Ashesi | 43-44 | 36 Chapter 5: Testing and Results The problem being tackled in this paper is to determine the degree to which hardware acceleration can improve the performance of machine learning algorithms running on low power embedded systems with limited compute capability. This project focused on determining the performance gains ... | determines the output value of the neural network based on these inputs. The application then compares its performance against a comparison run where no hardware accelerator was used. | Hyehyɛ neural network no output value a egyina saa inputs yi so. Afei application no de ne adwumayɛ toto ho denam benchmark a ɛyɛ a wɔmfa hardware accelerators nni dwuma so. |
research | Ashesi | 45-46 | 38 Chapter 6: Conclusion The tests that were run indicated that for a relatively lower end microcontroller unit, hardware acceleration provided a more than 10x gain in performance. Where as for relatively higher end microcontroller the use of the hardware accelerator led to about a 2x decrease in performance. Lower end... | Develop a detailed report analyzing the advantages and disadvantages of using hardware accelerators versus software-only solutions for improving performance in microcontrollers. Include specific examples and comparisons between low-end and high-end MCUs, focusing on how hardware acceleration can enhance ML algorithm | Yɛ amanneɛbɔ a ɛkɔ akyiri a ɛhwehwɛ mfaso ne ɔhaw ahorow a ɛwɔ hardware accelerators a wɔde di dwuma so ne software-specific solutions a wɔde bɛma adwumayɛ atu mpɔn wɔ microcontrollers mu. Nhwɛsoɔ pɔtee ne ntotoho a ɛda MCU a ɛba fam ne nea ɛkorɔn ntam ka ho. Ɛtwe adwene si sɛnea hardware acceleration betumi ama ML alg... |
research | Ashesi | 3-4 | THE POLITICAL ECONOMY OF CLIMATE FINANCE IN GHANA 3 Acknowledgment I am deeply grateful to God and everyone who supported me throughout the course of this research journey. First and foremost, I would like to express my sincere and special gratitude to my supervisor, Dr. Millicent Awuku, for her invaluable guidance, en... | Write a fictional story about a researcher named Sarah who is studying the political economy of climate finance in Ghana, focusing on her experiences with her supervisor, Dr. Millicent Awuku. | Kyerɛw ayɛsɛm bi fa nhwehwɛmufo bi a wɔfrɛ no Sarah a ɔresua amammui sikasɛm a ɛfa wim tebea ho sikasɛm ho wɔ Ghana ho. Ɛtwe adwene si osuahu ahorow a ɔne ne panyin, Oduruyɛfo Millicent Awuku nyae so. |
research | Ashesi | 9-10 | THE POLITICAL ECONOMY OF CLIMATE FINANCE IN GHANA 9 CHAPTER 1: INTRODUCTION 1.0 Overview This chapter, containing the background of the study, the problem, the purpose and significance of the research, research questions, justification of the study, an outline of the research study, and a preview of the research method... | What are the key factors driving Ghana's economic vulnerability to climate change, and how can government policies address these issues? | Dɛn ne nneɛma atitiriw a ɛma Ghana sikasɛm mu yɛ den wɔ wim nsakrae ho? Na ɔkwan bɛn so na aban nhyehyɛe betumi adi ɔhaw ahorow yi ho dwuma? |
research | Ashesi | 11-12 | This has led to inconsistent and ineffective climate finance strategies. Evidence suggests that Ghana struggles to mobilize and utilize climate finance efficiently due to political and bureaucratic hurdles. Failure to address these challenges will lead to the continued mismanagement of climate financ ability to meet it... | Generate a realistic prompt for analyzing the effectiveness of climate finance strategies in Ghana, focusing on political and bureaucratic obstacles hindering efficient mobilization and utilization of climate financing. | Yɛ kɔkɔbɔ a ɛyɛ nokware a wɔde bɛhwehwɛ sɛnea wim tebea ho sikasɛm ho nhyehyɛe ahorow no tu mpɔn wɔ Ghana. Ɛtwe adwene si amammui ne adwumayɛfo akwanside ahorow a esiw wim tebea ho sikasɛm a wɔboaboa ano yiye na wɔde di dwuma no ano. |
research | Ashesi | 13-14 | THE POLITICAL ECONOMY OF CLIMATE FINANCE IN GHANA 13 understanding of how political systems and players influence policy strategies on climate finance. 1.3.2 Specific Objectives The following objectives further direct this research. To explore the political drivers influencing climate finance mobilization in Ghana. To ... | What are the main political drivers and barriers affecting the mobilization and allocation of climate finance in Ghana? | Dɛn ne amammuisɛm mu nneɛma atitiriw ne akwanside ahorow a ɛka wim tebea ho sikasɛm a wɔboaboa ano ne ne kyekyɛ wɔ Ghana? |
research | Ashesi | 15-16 | THE POLITICAL ECONOMY OF CLIMATE FINANCE IN GHANA 15 broader discourse on climate finance. 1.8 Organization of study This research is organized into five chapters. Chapter 1 provides an introduction to the study, outlining the background, significance, problem statement, objectives, and research questions. Chapter 2 pr... | What are some key topics covered in this research on the political economy of climate finance in Ghana? | Nsɛmti titiriw bɛn na wɔaka ho asɛm wɔ nhwehwɛmu yi mu a ɛfa amammui sikasɛm a ɛfa wim tebea ho sikasɛm ho wɔ Ghana? |
research | Ashesi | 19-20 | 2.3 Empirical Review Global, Regional, and National Perspectives Global studies on climate finance reveal diverse trends and findings. They opine that funding for climate change is frequently suborned by political and institutional influences. Another example of literature emphasizing the shortfall of climate finance p... | Generate a fictional conversation between two characters discussing global climate finance, highlighting their divergent perspectives and challenges faced by various regions and stakeholders. | Yɛ nkɔmmɔbɔ a ɛyɛ nsusuwii hunu a ɛda nnipa baanu ntam a wɔresusuw wiase nyinaa wim tebea ho sikasɛm ho. Ɛsi adwene ahodoɔ ne nsɛnnennen a mpɔtam ahodoɔ hyia so dua. na ɛsɛ sɛ wɔn a wɔde wɔn ho hyɛ mu no hyia |
research | Ashesi | 23-24 | THE POLITICAL ECONOMY OF CLIMATE FINANCE IN GHANA 23 funding sources and transparency frameworks is also an issue affecting the mobilization and allocation of available resources. Another significant challenge is the inability of institutions to carry out their duties effectively because of weaknesses in the structures... | Generate text about how the political economy of climate finance affects the mobilization, allocation, and effectiveness of available resources in Ghana. | Yɛ nkrasɛm a ɛfa sɛnea amammui sikasɛm a ɛfa wim tebea ho sikasɛm ho no ka nneɛma a ɛwɔ Ghana a wɔboaboa ano, wɔkyekyɛ ne sɛnea ɛyɛ adwuma yiye. |
research | Ashesi | 25-26 | THE POLITICAL ECONOMY OF CLIMATE FINANCE IN GHANA 25 allocation efficiency and effectiveness in Ghana. Also, the engagement of environmental non-governmental organizations and civil society organizations further impacts policy outcomes on climate finance. Another factor that influences the mobilization is the incorpora... | Generate text related to the topic of "Political Economy of Climate Finance in Ghana, including the factors influencing policy outcomes and the role of civil society organizations. | Yɛ nkrasɛm bi a ɛfa asɛmti no ho. “The Political Economy of Climate Finance in Ghana.Nea ɛka ho ne nneɛma a ɛka nhyehyɛe a ebefi mu aba ne dwuma a ɔmanfo ahyehyɛde ahorow di. |
research | Ashesi | 27-28 | THE POLITICAL ECONOMY OF CLIMATE FINANCE IN GHANA 27 flexibility in pursuing an independent climate agenda. Moreover, questions related to corruption and misuse of the climate finance funds limit the efficiency of climate finance. A major issue that is still considered a complex problem of leadership is the inability t... | How does the political economy of climate finance in Ghana address issues such as flexibility, corruption, misappropriation of funds, inadequate data, lack of transparency, and poor decision-making due to lack of coordination and proper integration between government and private sectors | Amammui sikasɛm a ɛfa wim tebea ho sikasɛm ho wɔ Ghana di nsɛm te sɛ ahoɔden a wɔde gyina ano, adifudepɛ, sika a wɔde di dwuma ɔkwammɔne so ho dwuma. Nsɛm a ɛnnɔɔso a ɛnyɛ nea ɛda adi pefee ne sɛnea wosi gyinae bɔne esiane nkitahodi ne nkabom a ɛfata a enni ɔman ne ankorankoro nnwuma ntam nti. |
research | Ashesi | 29-30 | THE POLITICAL ECONOMY OF CLIMATE FINANCE IN GHANA 29 CHAPTER 3: RESEARCH METHODOLOGY 3.0 Overview This chapter presents the methodology employed in exploring the political economy of climate finance in Ghana. A qualitative method of analysis with a focus on primary data was employed, considering the complexity of the t... | What is the political economy of climate finance in Ghana? | Dɛn ne amammui sikasɛm a ɛfa wim tebea ho sikasɛm ho wɔ Ghana? |
research | Ashesi | 31-32 | The selection of 12 participants is justified by the need for in-depth and focused engagement. Moreover, purposive sampling ensures that participants are directly relevant to the research objectives, enhancing the study's validity and reliability. By engaging a diverse yet targeted group of stakeholders, the study prov... | What are the key aspects of selecting participants for a study on Ghana's political economy of climate finance? | Dɛn ne nsɛntitiriw a wɔde paw wɔn a wɔde wɔn ho hyɛɛ mu maa nhwehwɛmu bi a ɛfa amammui sikasɛm ho wɔ Ghana wim tebea ho sikasɛm mu? |
research | Ashesi | 33-34 | THE POLITICAL ECONOMY OF CLIMATE FINANCE IN GHANA 33 most pertinent to addressing the research questions. In this study, participants were selected based on their roles, expertise, and involvement in climate finance initiatives. The sampling criteria prioritized mid-level government officials, local government environm... | Generate a detailed study report on the political economy of climate finance in Ghana, incorporating key findings from your research. | Yɛ nhwehwɛmu amanneɛbɔ a ɛkɔ akyiri a ɛfa amammui sikasɛm a ɛfa wim tebea ho sikasɛm ho wɔ Ghana. Ɛboaboa nneɛma atitiriw a woahu afi wo nhwehwɛmu no mu ano. |
research | Ashesi | 35-36 | THE POLITICAL ECONOMY OF CLIMATE FINANCE IN GHANA 35 3.7 Ethical Practices Ethical considerations were central to ensuring the credibility, accuracy, and quality of this research. This study strictly adhered to ethical guidelines by sourcing information responsibly, maintaining transparency, and ensuring the privacy an... | Ethical Considerations in Climate Finance Research: A Study on Ghana's Political Economy | Abrabɔ pa ho nsusuwii wɔ wim tebea ho sikasɛm nhwehwɛmu mu: Ghana amammui sikasɛm ho nhwehwɛmu. |
research | Ashesi | 39-40 | THE POLITICAL ECONOMY OF CLIMATE FINANCE IN GHANA 39 dominant role of the government in climate finance. One participant stated, "The Ministry of Finance plays a significant role because they oversee the budget and ensure that climate finance aligns with national economic priorities" (P3-J). Another also indicated that... | What are the roles of the Ministry of Finance in Ghana's political economy regarding climate finance? | Dwuma bɛn na Sikasɛm Dwumadibea no di wɔ Ghana amammui sikasɛm mu a ɛfa wim tebea ho sikasɛm ho? |
research | Ashesi | 41-42 | THE POLITICAL ECONOMY OF CLIMATE FINANCE IN GHANA 41 4.2.1.4 International Donors: The Largest Contributors to Climate Finance According to the participants, international donors, including multilateral institutions, bilateral agencies, and global climate funds, are the primary sources of climate finance for Ghana. The... | generate text about the largest contributors to climate finance in ghana | Yɛ asɛm bi fa wɔn a wɔboa kɛse wɔ wim tebea ho sikasɛm mu wɔ Ghana. |
research | Ashesi | 45-46 | THE POLITICAL ECONOMY OF CLIMATE FINANCE IN GHANA 45 4.3.2.2 Donor Conditionalities and External Influence Climate finance in Ghana is significantly influenced by external donor agencies. One participant stated: "Many donor funds come with restrictions on how they can be used" (P2-A). Another interviewee highlighted: "... | Generate text about the political economy of climate finance in Ghana discussing external influence and donor conditions, emphasizing project design and selection constraints imposed by donor requirements. | Yɛ nkrasɛm bi a ɛfa amammui sikasɛm a ɛfa wim tebea ho sikasɛm ho wɔ Ghana. Ka abɔnten so nkɛntɛnso ne wɔn a wɔde mmoa ma no tebea horow ho asɛm. Wɔsi adwuma no nhyehyɛɛ ne anohyetoɔ a ɛfa paw a wɔde ma a wɔn a wɔde mmoa ma no ahwehwɛdeɛ de ba no so dua. |
research | Ashesi | 49-50 | THE POLITICAL ECONOMY OF CLIMATE FINANCE IN GHANA 49 enables the government to align climate-related spending with national development priorities. Interview findings confirm this arrangement, with one participant stating, n Ministry of Finance that decides how much goes to the various climate- (P4-P). Another added, w... | Does the political economy of climate finance in Ghana enable the government to align its climate-related spending with national development priorities? | So amammui sikasɛm a ɛfa wim tebea ho sikasɛm ho wɔ Ghana betumi aboa aban no ma ɔde sika a wɔsɛe wɔ wim tebea ho no ne ɔman no nkɔsoɔ a ɛho hia no ahyia? |
research | Ashesi | 51-52 | Findings from the interviews confirm that while private-sector involvement is growing, challenges remain. One participant stated Some banks now provide loans for green projects, but they still view climate investment as risky" (P3-J). Another participant emphasized the need for stronger incentives by stating that "With... | What are some key points discussed about finding private sector involvement in climate finance? | Dɛn ne nsɛm atitiriw a wɔaka ho asɛm a ɛfa hwehwɛ a wɔhwehwɛ sɛ ankorankoro de wɔn ho bɛhyɛ wim tebea ho sikasɛm mu no bi? |
research | Ashesi | 53-54 | THE POLITICAL ECONOMY OF CLIMATE FINANCE IN GHANA 53 4.5.1 Competing National Priorities One of the fundamental challenges in mobilizing climate finance in Ghana is competition with other pressing socio-economic needs. Findings from the interviews reinforce this reality. One participant emphasized The government has bi... | Findings from the interviews highlight the competitive national priorities faced by the political economy of climate finance in Ghana, emphasizing the prioritization of other socio-economic issues over climate finance. | Nneɛma a wohui wɔ nsɛmbisa no mu no si ɔman no mu nneɛma a ɛdi kan a ɛne wɔn ho wɔn ho di akan a ɛhyia amammui sikasɛm a ɛfa wim tebea ho sikasɛm ho wɔ Ghana no so dua. Esi sikasɛm ne asetra mu nsɛm afoforo a wɔde bedi kan so dua. Ɛboro wim tebea ho sikasɛm so |
research | Ashesi | 57-58 | THE POLITICAL ECONOMY OF CLIMATE FINANCE IN GHANA 57 capacity, and bureaucratic inefficiencies further exacerbate the difficulties in accessing and deploying climate finance. Additionally, the over-reliance on external funding sources and the stringent to pursue climate finance strategies that align with national prior... | How can the government of Ghana improve access to and deployment of climate finance, particularly focusing on reducing bureaucratic inefficiencies and increasing private sector involvement? | Ɔkwan bɛn so na Ghana aban betumi ama wim tebea ho sika a wobenya ne nea wɔde di dwuma no atu mpɔn? Titiriw no, wɔde wɔn adwene asi adwumayɛfo a wɔnyɛ adwuma yiye a wɔbɛtew so na wɔbɛma ankorankoro nnwumakuo a wɔde wɔn ho bɛhyɛ mu no akɔ soro. |
research | Ashesi | 59-60 | THE POLITICAL ECONOMY OF CLIMATE FINANCE IN GHANA 59 opportunities, while shifts in donor country politics can abruptly affect financial support. Allocation mechanisms for climate finance in Ghana are multifaceted, including direct budgetary support, sectoral allocations, project-based funding, and public-private partn... | How might decentralized allocation mechanisms impact the effectiveness and coherence of Ghana's climate finance programs? | Ɔkwan bɛn so na akwan a wɔfa so kyekyɛ nneɛma a wɔde ahyɛ aman nsa no betumi aka Ghana wim tebea ho sikasɛm nhyehyɛe no mmɔdenbɔ ne nea ɛkɔ so daa no? |
research | Ashesi | 61-62 | THE POLITICAL ECONOMY OF CLIMATE FINANCE IN GHANA 61 its ability to fully leverage these resources is significantly limited by the shortage of well-trained local professionals who can craft compelling, grant-winning proposals and effectively manage climate finance mechanisms. The current overreliance on external consul... | How can we develop targeted strategies for training local experts in climate finance, structuring, proposal writing, project management, monitoring and evaluation, and donor relations, thereby enhancing the capacity of Ghanaian professionals to deliver impactful climate finance solutions? | Yɛbɛyɛ nhyehyɛe a yɛde asi yɛn ani so a yɛde bɛtete mpɔtam hɔ abenfo wɔ wim tebea ho sikasɛm mu. structuring writing a proposal Dwumadie no sohwɛ Nhwehwɛmu ne nhwehwɛmu ne abusuabɔ a wɔne wɔn a wɔde mmoa ma no bɛyɛ dɛn ama Ghana animdefoɔ tumi a wɔde wim tebea ho sikasɛm ano aduru a ɛwɔ nkɛntɛnsoɔ bɛma? |
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Twi-English Generation Prompts
English instruction prompts with Twi (Akan) translations, sourced from the Ghanaian Corpus Generation dataset.
Description
534k instruction prompts originally generated from a Ghanaian English corpus. Each prompt was translated from English to Twi via a two-hop pipeline: English -> Thai -> Twi using Google Translate.
Translation Stats
| Status | Count | Description |
|---|---|---|
| Translated | ~532k | Successfully translated to Twi |
| Failed | ~1.7k | Google returned English (untranslated), kept as-is |
| Identical | ~503 | Google returned the English input unchanged |
Columns
| Column | Type | Description |
|---|---|---|
source_type |
string | Type of source document |
source |
string | Original source identifier |
page_range |
string | Page range in the source document |
text |
string | Original text from which the prompt was generated |
english_prompt |
string | The generated English instruction prompt |
twi_prompt |
string | Twi translation of the English prompt |
Citation
@misc{ghana-nlp-2025,
title={Ghanaian Corpus Generation},
author={Ghana NLP},
year={2025}
}
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