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Samuel King Opoku

Samuel King Opoku appears in the imported research catalog. Authorship, coauthor and topic links are available while profile ownership is still unclaimed.

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5 published item(s)

preprint2026arXiv

A Logistic Regression Model to Predict Malaria Severity in Children

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.

preprint2012arXiv

A Robust Cryptographic System using Neighborhood-Generated Keys

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.

preprint2012arXiv

A Simultaneous-Movement Mobile Multiplayer Game Design based on Adaptive Background Partitioning Technique

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.

preprint2012arXiv

An Indoor Tracking System Based on Bluetooth Technology

Implementations of tracking systems have become prevalent issues in modern technology due to its advantage of location detection of objects. Objects are usually tracked using trackers based on GPS, GSM, RFID and Bluetooth signal strength implementation. These mechanisms usually require line of sight operations, limited coverage and low level programming language for accessing Bluetooth signal strength. This paper presents an alternative technique for tracking the movement of indoor objects based on Bluetooth communication technology, principles of motion and least square statistical method. Algorithms are designed and implemented using Java

preprint2012arXiv

Parallel Sorting System for Objects

Conventional sorting algorithms make use of such data structures as array, file and list which define access methods of the items to be sorted. Such traditional methods as exchange sort, divide and conquer sort, selection sort and insertion sort require supervisory control program. The supervisory control program has access to the items and is responsible for arranging them in the proper order. This paper presents a different sorting algorithm that does not require supervisory control program. The objects sort themselves and they are able to terminate when sorting is completed. The algorithm also employs parallel processing mechanisms to increase its efficiency and effectiveness. The paper makes a review of the traditional sorting methods, identifying their pros and cons and proposes a different design based on conceptual combination of these algorithms. Algorithms designed were implemented and tested in Java desktop application