Samuel King Opoku

Mary Opokua Ansong, Asare Yaw Obeng, Samuel King Opoku

One of the main causes of death around the globe is malaria. Researchers have sought to develop predictive models for malaria outbreaks based on meteorological data, climate data and the breeding cycle of Plasmodium, the causative agent of malaria. This study predicts the severity of malaria based on environmental and biological factors. A logistic regression model was developed in this study to predict the severity of malaria based on such factors as sickle cell disease, stagnant water, garbage dump, wet lawns, and the use of treated mosquito nets, with an 83.3% accuracy rate. The study was carried out in the Bosomtwe District of Ghana with 417 respondents. It was deduced that although children in the District are highly prone to malaria infection, the severity is very low. The study recommends that not just having a good sample size alone is important during machine learning model development, but also having a good sample representation of the various class labels is equally important.

Samuel King Opoku

Implementations of mobile games have become prevalent industrial technology due to the ubiquitous nature of mobile devices. However, simultaneous-movement multiplayer games, games that a player competes simultaneously with other players, are usually affected by such parameters as latency, type of game architecture and type of communication technology. This paper makes a review of the above parameters, considering the pros and cons of the various techniques used in addressing each parameter. It then goes ahead to propose an enhanced mechanism for dealing with packet delays based on partitioning the game background into grids. The proposed design is implemented and tested using Bluetooth and Wi-Fi communication technologies. The efficiency and effectiveness of the design are also analyzed.

Samuel King Opoku

The ability to hide information from unauthorized individuals has been a prevalent issue over the years. Countless algorithms such as DES, AES and SHA have been developed. These algorithms depend on varying key length and key management strategies to encrypt and decrypt messages. The size of the encrypted message is so large that it therefore consumes and wastes valuable storage space when implemented in organizations that store and handle large volumes of small data. The ability to share the generated keys securely also poses a problem. This paper proposes a robust cryptographic algorithm which generates its keys from the surroundings and already-designed coding schemes. The proposed system conserves storage space and processing power.The algorithm is implemented and tested using PHP and MySQL DBMS.