Dr. Amos Chege Kirongo, Ph.D.

Technology inspired by nature.

Month: November 2017

A vulnerability model for wireless local area networks in an insecure wardriving setting

Kirongo, Amos Chege URI: Description: A research project submitted in partial fulfillment of the requirements for the award of Master of Science in Data Communication in the Faculty of Computing and Information Management at KCA University Wireless local area networks (WLAN) enable access to computing resources for devices that are not physically connected to

Integration of the Open Government Data platform into existing Content Management Systems in Kenya

Authors Kirongo C. Amos and Bundi G. Dorothy Abstract Open Government Data (OGD) avails statistical, development, expenditure and demographic data, in digital format for the general public, ICT developers, researchers and policy makers. This evaluation is based on analysis of qualitative and quantitative metadata and data sets in Open Data portals. The OGD platform integration

Suitable Image Features for Drought Stress Detection in Beans Using Raspberry PI Imaging System

Authors: 1Maitethia D. M.*2Kirongo C. A,  3Boiyo K. R., and 4Kimuya A. Abstract Crop stresses are often detected late and this leads to massive crop yield loss. There exists a need for development of a real time system for monitoring crop growth progress with a view of early detection of diseases and other forms of crop stress. In

Quote of the Day

“It is not the critic who counts; not the man who points out how the strong man stumbles, or where the doer of deeds could have done them better. The credit belongs to the man who is actually in the arena, whose face is marred by dust and sweat and blood; who strives valiantly; who errs,

A Review of Open Government Data Adoption Initiatives in Public Sector

Authors Dorothy G Bundi and Amos C Kirongo ABSTRACT Open government data has been said to result in decrease in bureaucracy, eradication of corruption and reduction of the cost of invention. The aforementioned primarily applies to data availed by public organizations:  governments, counties and wards.  This review paper investigates how well public corporations and parastatals