http://hdl.handle.net/123456789/769 2026-04-09T23:46:55Z http://hdl.handle.net/123456789/1024 Named Entity Recognition Using Memory Based Learning Algorithms Mithanga, F; Wasike, J The information explosion has created remarkable measure of published information that is growing at an astounding rate. As information grows at this rate, managing it becomes a daunting challenge. The key to this test lays in innovation of information extractions technology that can change unstructured information into organized data to be understood and controlled by machines. Named Entity Recognition (NER) has the capability to extract named entities from unstructured documents, ordering them into pre-characterized semantic classifications and further extracts information in a specific language through use of defined entities.The research purpose was to analyze named entity recognition algorithms and use them to identify entities. Experimental research methodology employed. Kikuyu language was used to provide data for this research. This research analyzed named entity recognition using Memory Based algorithm and use them to identify entities. The data collected was used to train a memory-based tool through statistical based approach. The outcome assisted in solving semantic annotation problem, development of automatic question-answering systems, semantic web probe, and social web problem. The output was a named entity recognition that uses memory-based learning algorithm. 2022-03-01T00:00:00Z http://hdl.handle.net/123456789/841 Towards A Framework for Managing Construction Project Labour Productivity in Kenya. ole, S.M Labour productivity has been held responsible for the success or failure of construction projects in the urban areas in Kenya and beyond. Without standardized metrics for measurement of labour productivity, it becomes difficult or outrightly impossible to estimate the exact cost of aproject for both contractors and clients thus leading to escalation of costs, loss in profits,increase in project execution time, stalling of projects and loss of confidence in the constructionindustry. This research explores the factors affecting construction labour productivity amongstpractitioners in Nairobi and on projects within Nairobi. It establishes a definition of the termand evaluates available literature. It then measures through a survey, the effect of informationflow on construction Labour Productivity at project level. Five factors are concluded to be criticalin project level CLP. The study also provides recommendations on how to manage CLP issueswithin the industry to increase this productivity. 2022-03-01T00:00:00Z http://hdl.handle.net/123456789/840 Spiral Micro-Structured FBG Hydrogen Sensor based on Pd87-Ni13/Pd4-Ag1 Thin Film and Femtosecond Laser Ablation Zhou, x; Karanja, J. M; Yang, M; Ming, X. Z; Liu, K; Zhou, F; Dai, Y A novel laser machined spiral microstructure fiber Bragg grating (FBG) hydrogen sensor coated with composite sensing film is presented. The sensor probes are sputtered with Pd/Ni and Pd/Ag film respectively. The atomic ratio of the Pd/Ni and Pd/Ag composite films is controlled at 87:13 and 4:1 respectively. Experimental results demonstrate that a pitch 60 μm FBG with double spiral microstructures, coated with 520 nm Pd/Ni and Pd/Ag film has hydrogen gas sensitivity in air of 13 pm/%H and 25 pm/%H respectively. The laser ablated spiral microstructured probes with composite films showed greater sensitivity compared with standard FBG probes with similar coating. The optimum testing temperature (50 °C) enhanced the sensitivity and repeatability of the probes. Due to its high gas response and reversibility, the sensor probe is a potential candidate for hydrogen monitoring. 2022-03-01T00:00:00Z http://hdl.handle.net/123456789/839 Cloud Computing Usability Model for Quality University Education Wasike, J. M.; Wabwile, P. N. Content delivery, communication and collaboration are associated with information Technology in University Education. To achieve these objectives, there is need for servers, storage and appropriate software in the universities and other educational institutions. Cloud Computing is based on Internet, whereby shared resources, software and information, are provided to computers and devices on-demand and works in an electricity grid-like fashion to support education. The more usable the cloud, the more efficient the task performance. The purpose of this research was to investigate and analyze cloud computing usability attributes, and then develop a cloud computing usability model for quality education. The study objectives were to identify university education quality parameters, establish cloud computing usability attributes which may affect implementation of cloud technology, develop applicable cloud computing usability model for university education and a tool to assess how the model impacts on delivery of quality of university education. The research adopted pragmatism philosophy, employing a case study research method based on universities in Kenya. Purposive sampling was used with an estimated sample size of 65 respondents. Data was collected using semi-structured interviews and questionnaires to deliver a cloud computing usability model and a tool to assess acceptability of cloud computing in universities. This research makes a significant contribution to the scientific knowledge through establishment of cloud computing user satisfaction attributes in line with parameters for quality university education and in terms of the cloud computing usability model. 2022-03-01T00:00:00Z