Papers by Vincent Omwenga
African Journal of Food, Agriculture, Nutrition and Development, Dec 5, 2023
Macronutrients play a crucial role in management of type 2 diabetes. This is seen in their abilit... more Macronutrients play a crucial role in management of type 2 diabetes. This is seen in their ability to modulate plasma glucose concentrations. However, the ideal proportions of macronutrients to be consumed in order to maintain ideal plasma glucose concentrations remains elusive. Therefore, this paper set out to conduct a review to investigate the relationship between macronutrients and plasma glucose concentrations from a physiological perspective. The review was conducted using papers obtained from various databases such as MEDLINE (Pubmed), Open Access Journals Elsevier, Free Medical Journals and Google Scholar. The research papers included general reviews, systemic reviews, meta-analyses, and randomized control trials that examined the effect of macronutrients on plasma glucose concentration as well as papers on mathematical models describing the relationship between macronutrient bioavailability and plasma glucose concentration. The review assessed the effect of various macronutrients on postprandial plasma glucose concentration, post-prandial plasma insulin, post-prandial glucose-dependent insulinotropic peptide plasma concentration, and post-prandial glucose-like peptide-1 plasma concentration. The results of the review showed that carbohydrates influence plasma glucose concentration in a dose dependant manner but this is dependent on their bioavailability. This bioavailability was shown to be subject to fluctuations determined by food processing techniques, food structure, and food matrix. The results also showed that some specific types of fats and proteins indirectly influence plasma glucose concentration through their effect on incretin hormones. The effect of fats and proteins on incretin hormones was through different mechanisms and pathways. In-lieu of the findings, the review concludes that the macronutrient composition of diets designed for type 2 diabetic patients should take into consideration the physiological relationship between the macronutrients and plasma glucose concentrations. In this way, diet proportions can be made in such a manner as to determine the exact amounts that will realize near normal plasma glucose concentrations for a type 2 diabetic patient.
Computer Engineering and Applications, Sep 24, 2019
Virtualization has enabled cloud computing to deliver computing capabilities using limited comput... more Virtualization has enabled cloud computing to deliver computing capabilities using limited computer hardware. Server virtualization provides capabilities to run multiple virtual machines (VMs) independently in a shared host leading to efficient utilization of server resources. Unfortunately, VMs experience interference from each other as a result of sharing common hardware. The performance interference arises from VMs having to compete for the hypervisor capacity and as a result of resource contention, which happens when resource demands exceed the allocated resources. From this viewpoint, any VM allocation policy needs to take into account VM performance interference before VM placement. Therefore, understanding how to measure performance interference is crucial. In this paper, we propose a simple experimental approach that can be used to measure performance interference in Infrastructure as a Service (IaaS) cloud during VM consolidation.
Internet technology utilization has drawn significant attention when used in the learning environ... more Internet technology utilization has drawn significant attention when used in the learning environment. The utility derived from the technology in the learning process of a student has not been considered and determined over the years. The internet is a valuable resource used in the discipline of education and has brought significant changes and developments. Hence, there is a challenge in determining whether its use in learning contributes to the learning output of a student or not. The use of internet technology in higher learning institutions has been influenced by factors that affect both the student and the institutions. These factors include the knowledge of a student in the use of the technology (which ends up affecting their level of interaction with the technology), the total investment made by an institution in the provision of the technology and the usability of the technology that has been invested in. This paper addresses the measure of internet technology utilization in the learning environment by applying the Cobb Douglas production theorem.
Datacentres are becoming indispensable infrastructure for supporting the services offered by clou... more Datacentres are becoming indispensable infrastructure for supporting the services offered by cloud computing. Unfortunately, they consume a great deal of energy accounting for 3% of global electrical energy consumption. The effect of this is that, cloud providers experience high operating costs, which leading to increased Total Cost of Ownership (TCO) of datacentre infrastructure. Moreover, there is increased carbon dioxide emissions that affects the universe. This paper presents a survey on the various ways in which energy is consumed in datacentre infrastructure. The factors that influence energy consumption within a datacentre is presented as well.
International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 2020
Internet technology has been revolutionary over the years especially in the educational sector. H... more Internet technology has been revolutionary over the years especially in the educational sector. However, the utility of internet technology in the learning process of a student in a higher learning institution has not been determined over the years. This has been due to the evolution that has taken place in education. This paper aims at helping in the development of an algorithmic model that will be used for the prediction of internet technology utilization in learning. Specifically, the research will focus on modelling the Cobb- Douglas production theorem to predict the learning output of a given student considering the utility of the internet technology, the infrastructural investment made by the institution of higher learning and the effort of the student. The results of this ongoing research will eventually be of great importance in helping institutions of higher learning determine their returns after investing in internet technology. The students will also be informed on how to...
Journal of the Kenya Meteorological Society, Jul 1, 2015
Environmental conflicts arise as a consequence of actions preventing or compelling some outcome a... more Environmental conflicts arise as a consequence of actions preventing or compelling some outcome at the resistance to the actions. More specifically, they are caused by anthropogenic activities that strain and damage the environment. Modelling environmental conflict is one of the fundamental ways providing means of solving them. In order to understand and model them, it is critical to identify potential and/or existing conflict causes (structural causes or proximate causes), as well as possible factors contributing to peace. In this paper, the dynamic time varying model for predicting environmental conflict is developed using Bayesian theory. The initial (state) conditions which play a significant role in the success of conflict resolution are estimated through a logistic probability model. An analogy on the application of the model in modelling of environmentally-induced conflict is given.
Digital Technology and Innovations in the Oil and Gas Industry
Routledge eBooks, Apr 10, 2023
International Journal Of Scientific Research And Education
Today, cloud computing is a rising way of computing in computer knowledge. Cloud computing is a s... more Today, cloud computing is a rising way of computing in computer knowledge. Cloud computing is a set of possessions and services that are on hand by the network or internet. Cloud computing extend a variety of computing techniques like grid compute, distributed computing. Today cloud computing is used in both industrial pasture and educational field. As the meadow of cloud computing is scattering the new technique are increasing. This amplifies in cloud computing location also increases security challenges for cloud developers. Users of confuse save their data in the shade hence the lack of security in cloud can lose the user’s trust. In this paper we will discuss some of the cloud security issue in a mixture of aspects like multi-tenancy, stretch, accessibility etc. the paper also argue existing security technique and approaches for a protected cloud.
Mathematics
With the rapid increase of diabetes mellitus cases in the world, management and control of the di... more With the rapid increase of diabetes mellitus cases in the world, management and control of the disease has become a complex and highly dynamic process. This challenge requires a multifaceted approach to manage and control the complications associated with the hyperglycaemia or hypoglycaemia conditions. This paper presents a mathematical model for determining the influence of combined intervention strategies in the management and control for the plasma glucose of the type II diabetes. System dynamics (SD) techniques were used in modelling the sub-compartments of biological systems of an Identifiable Patient (IP). The system dynamic model developed gave an illustration on how typical glucose-insulin dynamics occur at different intervention strategies involving varying amounts of carbohydrates taken, intensity of physical exercises, stress levels and the amount of exogenous insulin administered. The model was conceptualized within a semi-closed loop system representing the patient ecos...
计算机技术与应用 英文, 2012
Kenyan universities, as other business entities, are implementing various information systems to ... more Kenyan universities, as other business entities, are implementing various information systems to facilitate their operations. The systems include enterprise systems which are implemented to enhance institutional management given their emphasis on standardisation, streamlining, and integration of business operations. In this study, the authors have established that Kenyan universities have mainly implemented systems for finance and accounting, student admissions, examinations management, and library services. The authors have also established that there are no significant differences in information systems needs among Kenyan universities, but there are significant differences in strengths and weaknesses among the private and public universities in the capabilities of systems they have implemented. The authors have further established that despite fears especially on delays in projects implementation and system costs, Kenyan universities are in a position to implement enterprise systems to facilitate their operations. However, the universities need to allocate more funds to systems implementation if they have to successfully implement enterprise systems which generally require more resources than ordinary software applications.
Paper presented at the 4th Strathmore International Mathematics Conference (SIMC 2017), 19 - 23 J... more Paper presented at the 4th Strathmore International Mathematics Conference (SIMC 2017), 19 - 23 June 2017, Strathmore University, Nairobi, Kenya.Cloud computing infrastructure is becoming indispensable in modern IT. Understanding the behavior and resource demands of cloud application workloads is key in data center capacity planning, cloud infrastructure testing, performance tuning and cloud computing research. Additionally, cloud providers want to ensure Quality of Service (QoS), reduce Service Level Agreement (SLA) violations and minimize energy consumption. To achieve this, cloud workload analysis is critical. However, scanty information is known about the characteristics of these workloads because cloud providers are not willing to share such information for confidentiality and business reasons. Besides, there is lack of documented techniques for workload characterization. To alleviate this situation, in this paper we perform the first meticulous study on statistical techniques ...
International Journal of Sciences: Basic and Applied Research, Jul 7, 2021
Research productivity is increasingly being recognised as a key measure of achievement and is the... more Research productivity is increasingly being recognised as a key measure of achievement and is therefore a basis for promotion and tenure for academic staff as well as an important component in the global ranking of universities. However, research productivity of academic staff in Kenyan universities is characterised by limited publications, resulting in the low positioning of Kenyan universities in global rankings. The purpose of this study was to investigate the influence of human capital and dynamic capabilities on research productivity of academic staff in Kenyan universities. This study adopted a correlational research design and sampled 392 academic staff members. Both regression and bootstrap analyses were used to test the hypotheses. The findings revealed that human capital has a significant influence on research productivity of academic staff in Kenyan universities; however, the influence of human capital is not direct, but is partially mediated by dynamic capabilities. The outcomes of the study provide insight to academic staff to invest heavily in both human capital and dynamic capabilities to foster research productivity. Additionally, the results of the study provide an understanding to the university management on possible strategic choices that can boost the research productivity of academic staff.
Predicting student performance is becoming increasingly important to the learners and other stake... more Predicting student performance is becoming increasingly important to the learners and other stakeholders. This is due to the central role that prediction plays in planning for resources in a constrained learning environment. Availability of the large educational dataset has promoted the emergence of various analytical approaches aimed at providing accurate prediction. Most of these approaches have relied on data that measure specific outcome rather than tracking the process that leads to a particular outcome. This paper proposes a Stochastic Differential Equation predictive model that evaluates in an analytic way the process leading to a certain level in student performance. The model will use data based on the behavioural patterns in the use of Internet Technology.
An assessment tool for stakeholder integration excellence and project delivery optimisation
International Journal of Productivity and Performance Management
PurposeThe aim of this study was to appraise the delivery of information communication technology... more PurposeThe aim of this study was to appraise the delivery of information communication technology (ICT) projects and identify key determinants for stakeholder integration.Design/methodology/approachGiven that empirically, little was known about stakeholder integration in the ICT sector and its influence or effect on project delivery; qualitative method was used. Forty-seven semi-structured interviews were carried out to derive senior project practitioners and policymakers' constructs of stakeholder integration and infrastructure performance improvement of ICT projects. The verification and validation of the proposed assessment tool were achieved through the use of focus group discussion.FindingsAs established in this research study, there is a need for project delivery teams to evaluate the level of stakeholder integration, the formulation of a project business case, the project processes and issues of compliance and regulation in ICT projects. What is evident in the findings of...
A Data Mining Approach to Student Performance Prediction Within Internet-Worked Environments
2019 International Symposium on Advanced Electrical and Communication Technologies (ISAECT), 2019
The use of educational data mining approaches presents numerous data from a variety of educationa... more The use of educational data mining approaches presents numerous data from a variety of educational databases. This data is mined to give useful knowledge and information that can assist in the prediction of student performance perceptions. Considering the use of supervised learning approaches, decision trees can be obtained to assist with the perception predictions. A decision tree is a data classification technique that is used in displaying a result after the data mining process. The use of data mining techniques on data related to student performance assists in extracting valuable information from large datasets available within the institutions. This paper discusses the factors that influence the student learning process in an internet mediated environment. Additionally, this paper uses a decision tree to show which factors affect student performance in these environments. This will enable us determine whether a student is likely to perform well or not to perform well while usin...
Internet technology has been revolutionary over the years especially in the educational sector. H... more Internet technology has been revolutionary over the years especially in the educational sector. However, the utility of internet technology in the learning process of a student in a higher learning institution has not been determined over the years. This has been due to the evolution that has taken place in education. This paper aims at helping in the development of an algorithmic model that will be used for the prediction of internet technology utilization in learning. Specifically, the research will focus on modelling the CobbDouglas production theorem to predict the learning output of a given student considering the utility of the internet technology, the infrastructural investment made by the institution of higher learning and the effort of the student. The results of this ongoing research will eventually be of great importance in helping institutions of higher learning determine their returns after investing in internet technology. The students will also be informed on how to u...
Recent approaches in mobile computing consider context to be central to the design and implementa... more Recent approaches in mobile computing consider context to be central to the design and implementation of mobile applications. Context considerations enables the mobile application to respond to the needs and purpose it is intended for. Qualitative and quantitative research techniques have been applied to investigate and come up with components that are critical in the development of context -centred mobile applications.It is however critical to understand how toseparatecore application logic from adaptive functionality in order toachieve a context-centred mobile applications. Thispaperpresents the factors and technologies to consider in the developmentof the context-centredmobile applications. Further, a framework that emphases on the separation of core application logic and adaptive functionalityfor building a context-centred mobile application is presented.
Glucose-Insulin Dynamics: A Grey-box Analogy
International Journal of Computer Aided Engineering and Technology
Conflict modelling and resolution in a dynamic state
This paper focuses on the prediction of student learning styles using data mining techniques with... more This paper focuses on the prediction of student learning styles using data mining techniques within their institutions. This prediction was aimed at finding out how different learning styles are achieved within learning environments which are specifically influenced by already existing factors. These learning styles, have been affected by different factors that are mainly engraved and found within the students learning environment. To obtain the learning styles, a data mining technique was used and this explicitly involved the use of pattern analysis in order to identify the underlying learning styles in the data collected from the learners. This paper highlights the five major learning styles that describe the patterns extracted from the collected data. Therefore, considering the changed learning ecosystem, it is clear that prediction of student learning styles can be done when the various factor inputs within the student environment are brought together and analyzed to focus on le...
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Papers by Vincent Omwenga