Senior Theses and Projects

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    Intelligent HealthCare for Efficient Bed Occupancy
    (Ashesi University, 2020-05) Akoto, Ohemaa Akua Afriyie
    Hospital occupancy describes the number of hospital beds engaged by inpatients as compared to the total number of beds in the hospital. Knowledge of accurate occupancy is essential to very hospital in determining whether the hospital is under-occupied and wasting resources or over occupied such as that they may not be providing proper patient care. It is also very imperative especially in emergency situations that the current bed occupancy is known such that incoming patients experience reduced wait times which lead to improved patient outcomes. This thesis explores a model which uses IoT sensors and a triage framework to actively calculate the number of occupied as against the number of beds available and efficiently schedule waiting patients unto these beds according to the severity of their cases.
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    The impact of digital forensics on cybercrime in Ghana
    (2020-05) Obese Gyau, William
    Ghana lost a whopping $229.9million to recorded cybercrime cases between 2016 and August 2018 [2]. The victims being individuals, groups and corporate bodies especially banks. The increase in cybercrime is unfortunately not being addressed by the Ghana Police service nor the Criminal Investigative department due to a lack of resources and expertise to investigate these white-collar crimes. A report from Daniel Enin on the study of cybercrime offenders in Ghana indicates that the lack of confidence in the police and their inability to investigate these crimes has boosted the confidence of cybercriminals to commit these crimes [31]. This research paper seeks to find the answer to the question, ‘what opportunity does digital forensics provide in combating cybercrime in Ghana”. Digital forensics refers to the uncovering and examination of evidence located on all things electronic with digital storage, including computers, cell phones, and networks[11]. A pretest-posttest experiment was used in testing the “hypothesis that the learning of digital forensics which includes crime investigation and incidence reporting can help combat cybercrime in Ghana”. This research paper should provide insight into cybercrime, some related works in this domain, application development and some recommendations that will enable future researchers in this field to conduct their research in this domain.
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    Emotion recognition using image processing
    (2020-05) Frimpong, Queen
    Emotion recognition is an active field of research that has seen a lot of interest over the past decade. Historically, people’s emotions were analysed and determined through human observation and psychological counselling and later evolved to electrophysiological and largely intrusive methods such as Electroencephalography (EEG) because of how complex of a task it is and how extensive its application could be. Currently, with the entrance of machine learning and computer vision-related technologies, computers and robots can now be trained to learn and predict the emotions of human beings either in real-time or with their static facial images. In this research, emotion recognition is explored with respect to its three widely recognised stages: face detection, feature extraction and emotion recognition. At each of these stages, different image processing methods and learning techniques are explored and tested. A Convolutional Neural Network was trained and tested and recorded an accuracy of 50.7%. A Support Vector Machine was also trained and tested and recorded an accuracy of 81.5%. Both classifiers were trained on 7 emotion categories. The results show that it is possible for computers to predict the emotions of humans using image processing techniques and deep learning models. ; deep learning; ; image processing;
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    Creating financial inclusion for the informal sector and small and medium-sized enterprises in Ghana
    (2020-05) Adam, Munira
    The Informal sector of Ghana together with the Small and Medium-Sized Enterprises (SMEs) contributes the most to the Gross Domestic Product of the country. Many countries in sub-Saharan Africa rely heavily on this sector of the economy. Think of the street hawkers, shop owners, bus drivers, etc. These are the drivers of our economy. Alas, they are also the most poorly financed sector of the economy. For a sector that could be termed as the backbone of the economy, it is unfortunate that they are not equipped financially enough to continue to provide support to the economy. This paper focuses on the reasons for the poor financing of this sector. The most prevalent concern was found to be the poor record-keeping system that exists which makes it difficult for financial institutions to make decisions to give credit to them. Thus, this project seeks to solve the problem of poor record-keeping in this sector as a means to create financial inclusion for this sector of the economy.
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    Improved design and manufacture of small remote-controlled aircraft for food delivery
    (2020-05) Vowotor, Melinawo Korku
    Transportation and delivery have become an essential part of our everyday lives. It is constantly evolving as people try to develop new ways to improve a mode of transportation or make delivery in lesser time than expected, all in the safest way possible. The lack of an effective delivery/transportation system and low manufacturability of such systems in Ghana and most parts of West Africa has seen little to no efforts being made to curb the said issue. Unmanned aerial vehicles such as the typical quadcopter drones are gradually being employed for emergency pharmaceutical and paramedic uses in developed countries. Efforts to replicate this use of technology in developing countries has seen companies like Zipline set up outstanding drone delivery services to health facilities in rural areas that would be otherwise difficult to navigate and journey to by land. In this project, an unmanned aerial vehicle will be designed and manufactured in an attempt to create new delivery avenues for business owners.