Andrew M. Kahonge

Web Application and GPS Integration in Motor Vehicle Accident Detection A Case of Nairobi, Kenya

accidents occur, help to the victims is delayed mostly due to lack of prompt detection and reporting. Further, an easily accessible electronic motor vehicle accident database does not exist in Kenya. In an attempt to tackle these problems, a technique for automatically detecting and reporting accidents to relevant authorities is presented. In this technique, several technologies have been integrated and they include; impact sensors, Global Positioning System (GPS), Geographical Information System (GIS), Global System for Mobile Communication (GSM), Electronic Database System, the internet and web programming. In evaluating the technique, over fifty impacts were generated in experiments using a software and hardware prototype that was developed as part of this work. It is found that 98 percent of impacts were successfully transmitted and updated on the database as accidents, within an impressive average time of fifteen seconds. Additionally, authorized web clients could access this information immediately.

Social Media Forensics For Hate Speech Opinion Mining

Social Media Hate Speech has continued to grow both locally and globally due to the increase of Online Social Media web forums like Facebook, Twitter and blogging. This has been propelled even further by smartphones and mobile data penetration locally. Global and Local terrorism has posed a vital question for technologists to investigate, prosecute, predict and prevent Social Media Hate Speech. This study provides a social media digital forensics tool through the design, development and implementation of a software application. The study will develop an application using Linux Apache MySQL PHP and Python. The application will use Scrapy Python page ranking algorithm to perform web crawling and the data will be placed in a MySQL database for data mining. The application used Agile Software development methodology with twenty websites being the subject of interest. The websites will be the sample size to demonstrate how the application works together with the Python libraries as the framework for web crawling. MySQL data mining, database query application models will be used in performing the search of the lexicon of keywords for hate speech, Inferences from the data mined from crawled web pages will be drawn. General Terms Forensics, Opinion mining, LAMP.

Adoption of Open Source Software by Organizations – A Framework for Kenya

Source Software (OSS) has emerged as an alternative to Closed Source Software in many fields of software usage. However, how and why OSS software is being adopted and implemented within organizations in Kenya is not well documented. This study attempts to advance this understanding. Survey and interview were used to explore and distinguish the types, level and factors determining adoption of OSS. The results obtained show that 60% of respondent organizations were adopting some form of OSS. OSS was preferred to CSS due to control over the software and the cost of acquiring and running the software. CSS was preferred due to quality of support from vendors, ease of use and fashion trend. Both were at par in terms of scalability, reliability, security features, functionality and integration with other systems.