oalib

Publish in OALib Journal

ISSN: 2333-9721

APC: Only $99

Submit

Any time

2020 ( 121 )

2019 ( 656 )

2018 ( 712 )

2017 ( 715 )

Custom range...

Search Results: 1 - 10 of 407376 matches for " Dr. Segun M. OLATUNBOSUN "
All listed articles are free for downloading (OA Articles)
Page 1 /407376
Display every page Item
STUDENT, TEACHER AND SCHOOL ENVIRONMENT FACTORS AS ETERMINANTS OF ACHIEVEMENT IN SENIOR SECONDARY SCHOOL CHEMISTRY IN OYO STATE, NIGERIA
Dr. Francis A. ADESOJI,Dr. Segun M. OLATUNBOSUN
Journal of International Social Research , 2008,
Abstract: The study constructed and tested an eight-variable model for providing a causal explanation of achievement of secondary school students in chemistry in terms of student variables - attitude to learning chemistry, background knowledge in Integrated Science, teacher variables - attitude to chemistry teaching, attendance at chemistry workshop and school environment related variables-class size, laboratory adequacy and school location. The study adopted an ex-post facto research type the population was made up of 621 senior secondary III chemistry students and 27 Senior Secondary III chemistry teachers in Oyo State, Nigeria. Four sets of instruments were used, these were chemistry Achievement Tests (SACS), Teacher. Attitude Towards Chemistry Teaching Scale (TATCTS) and Laboratory Adequacy Inventory (LAI). The results revealed that 7.20% of the total effect on achievement in chemistry was accounted for by all the seven predictor variables when taken together. It was also revealed that only four variables -school location(X1) laboratory adequacy (X3), teachers’ attitude to chemistry teaching(X5) and teachers’ attendance at chemistry workshop(X4) had direct causal influence and also made significant contributions to the prediction of achievement in chemistry (X8) (the criterion variable). Recommendations based on the significance of these variables were then highlighted.
The association between sex hormone-binding globulin and type 2 diabetes in Nigerian men
Fayefori M. Abbiyesuku,Augustine N. Agbakwuru,Olatunbosun O. Olawale
African Journal of Laboratory Medicine , 2013,
Abstract: Background: Epidemiological studies have shown that sex hormone-binding globulin (SHBG) has a role in glucose homeostasis in both men and women. However, a prospective study on Japanese-American subjects concluded that SHBG was not a significant risk factor in either men or women, suggesting ethnic differences. We were not aware of any evaluation of SHBG in subjects of African ancestry.Objectives: We investigated the association between SHBG and insulin resistance in type 2 diabetic diabetic men in a hospital in Nigeria.Method: Forty-eight male subjects with type 2 diabetes and 20 non-diabetic male subjects were recruited in this cross-sectional hospital-based study by the convenient sampling method. Height and circumferences around the waist and hip were measured to the nearest 0.5 cm and the waist–hip ratio was calculated from this measurement. Weight was measured and body mass index was calculated. Fasting plasma glucose concentration was measured by theglucose oxidase method with a between-run coefficient of variation of 3%. Insulin and SHBG were measured by means of enzyme-linked immunosorbent assay (ELISA).Results: There was a statistically-significant difference between test results for the diabetic and non-diabetic patients. The mean SHBG concentration was higher in the non-diabetic group (42.2 nmol/L) than the diabetic group (30.5 nmol/L). A significant inverse association between insulin resistance and SHBG was observed (r = 0.353, p < 0.015).Conclusion: This study supported earlier observations that a significant inverse correlation exists between SHBG and insulin resistance and provides evidence that the relationship may extend to type 2 diabetic men of African ancestry in Nigeria.
Comparison of Neural Network and PID Control Techniques Based on a Case Study
A. Olatunbosun
Research Journal of Applied Sciences , 2012, DOI: 10.3923/rjasci.2011.349.353
Abstract: The performance of a developed Neural Network Controller (NNC) was compared with that of a classical Proportional-Integral-Derivative (PID) algorithm embedded in a Distributed Control System (DCS) using data from a local refinery distillation column. The control techniques were compared through experimental studies. Data collected from a working DCS using PID algorithm was used to develop the Neural Network Controller (NNC) under identical conditions with respect to set-point regulation and load disturbance regulation in real time. It was found that the NNC demonstrated better performance than the classical PID and offered some advantages. It could be inferred from the study that the better performance of the NNC is due to its behavioral characteristics.
Accomplishing Consummate Throughput with Delay and Power Control in MANET  [PDF]
Dr. K. Saravanan, Dr. S. Silas Sargunam, Dr. M. Rajaram
Circuits and Systems (CS) , 2016, DOI: 10.4236/cs.2016.78158
Abstract: Mobile Ad Hoc Network is a self-configuring, autonomous, infrastructure less network of movable nodes which will be automatically connected by wireless connection with no access point. The nodes are free to move anywhere in the set of connections and the topology of MANET remains unpredictable. The major complexity with the available two hop relay protocols in MANET environment is to achieve the optimized throughput with reduced packet delivery delay. A generalized collection based two-hop relay and redundancy of the packet is used to attain the reduced delay. The complex process of packet delivery in MANET utilizes Routine Response Control and Modified Markov chain model. Tuning carefully the parameters, the transmission range, the packet redundancy and the group size help to achieve the optimized throughput with the reduced packet delivery delay. Transmission power of a node is controlled which helps in achieving the optimized throughput and reduced delay.
An Automated Semantic Negotiation for Cloud Service Level Agreements  [PDF]
Dr. K. Saravanan, Dr. S. Silas Sargunam, Dr. M. Rajaram
Circuits and Systems (CS) , 2016, DOI: 10.4236/cs.2016.79211
Abstract: Mostly, cloud agreements are signed between the consumer and the provider using online click-through agreements. Several issues and conflicts exist in the negotiation of cloud agreement terms due to the legal and ambiguous terms in Service Level Agreements (SLA). Semantic knowledge applied during the formation and negotiation of SLA can overcome these issues. Cloud SLA negotiation consists of numerous activities such as formation of SLA templates, publishing it in registry, verification and validation of SLA, monitoring for violation, logging and reporting and termination. Though these activities are interleaved with each other, semantic synchronization is still lacking. To overcome this, a novel SLA life cycle using semantic knowledge to automate the cloud negotiation has been formulated. Semantic web platform using ontologies is designed, developed and evaluated. The resultant platform increases the task efficiency of the consumer and the provider during negotiation. Precision and recall scores for Software as a Service (SaaS), Platform as a Service (PaaS) and Infrastructure as a Service (IaaS) SLAs were calculated. And it reveals that applying semantic knowledge helps the extraction of meaningful answers from the cloud actors.
A Neural Network Approach to Predicting Car Tyre Micro-Scale and Macro-Scale Behaviour  [PDF]
Xiaoguang Yang, Mohammad Behroozi, Oluremi A. Olatunbosun
Journal of Intelligent Learning Systems and Applications (JILSA) , 2014, DOI: 10.4236/jilsa.2014.61002
Abstract:

Finite Element (FE) analysis has become the favoured tool in the tyre industry for virtual development of tyres because of the ability to represent the detailed lay-up of the tyre carcass. However, application of FE analysis in tyre design and development is still very time-consuming and expensive. Here, the application of various Artificial Neural Network (ANN) architectures to predicting tyre performance is assessed to select the most effective and efficient architecture, to allow extensive parametric studies to be carried out inexpensively and to optimise tyre design before a much more expensive full FE analysis is used to confirm the predicted performance.

Effects of Elitism and External Debt Crises on Nigerian Citizenry
Segun Afuape
Journal of Politics and Law , 2012, DOI: 10.5539/jpl.v5n4p136
Abstract: This paper examines the nexus between the elites and external debt imbroglio on Nigerians. It argues that the flakes of the debt crises are the killings and bombings in different parts of the North with the psychological fear in the south that this billowy suicide flame will soon waft in. The method adopted in this work is the content analysis of external debt profiles since 1961 up to June, 2012. Data extracted are consequently used to test a hypothesis using the t-test at both 0.05 and 0.01 levels of significance. However, the two types of elites show that they are agents of political decay, a description Samuel Huntington gave to the military in the sixties. The results indicate that there is no significant difference between the military and their democratic elites. Problems emanating from these high external debts are high unemployment rates, decaying infrastructure, delayed or outright stoppage of promotion, among others. Consequently, frustration propels the followership, sponsored by some disgruntled elites, to express their disgust in different ways such as suicide bombing and forming of religious, cult and ethnic militia. All this has led to the insecurity of lives in the polity. The antidote is for the political elites to find lasting solution to the debt crises and to desist henceforth from taking foreign loans .This is the veritable desideratum to propel the country towards meaningful and sustainable development.
Effect of Drying Methods on Proximate Composition and Physico-chemical Properties of Cocoyam Flour
G.O. Ogunlakin,M.O. Oke,G.O. Babarinde,D.G. Olatunbosun
American Journal of Food Technology , 2012,
Abstract: Three drying methods (sun-, cabinet and oven-drying) were investigated on some quality attributes of flour produced from cocoyam, Colocasia esculenta Schott (taro). The proximate and physico-chemical compositions were determined to investigate the nutritional value and the characteristic properties of the cocoyam flour. It was observed that all parameters examined were affected by the drying methods as they varied in composition with the three differently processed flour samples (sun-, cabinet and oven-dried) except for carbohydrate that had no significant difference with the drying methods. The pasting property showed that all the three flour samples (sun, cabinet and oven dried methods) had no significant difference (p=0.05) in their pasting temperature while that of sun-dried cocoyam flour (sample A) had the least breakdown thereby retaining a good starch structure. The results of the experiment showed that the oven-dried cocoyam flour retained the highest values in protein (5.17%), ash (2.87%), crude fiber (2.97%) and carbohydrate (79.00%) than the sun and cabinet dried samples. The physico-chemical and pasting properties of sun dried sample is more acceptable as it has greater values in all its physico-chemical parameters tested for except for foam stability and least gelation concentration which have lower values than that of other samples (cabinet and oven dried), also sun dried flour had the least breakdown thereby retaining the best starch structure.
Crime Forecasting and Planning in Developing Countries: Emerging Issues
Adeniyi Olatunbosun,Olubayo Oluduro
Canadian Social Science , 2012, DOI: 10.3968/2335
Abstract: In recent times, there is the growing manifestation among stake holders that crime cannot be controlled exclusively through the action of the police and criminal justice administrators. This reality has brought about the idea of new forms of approach on crime prevention against the backdrop of the apparent failure of the police, courts and prisons to stem the rising crime rates in many societies. Thus, the prevalence of crime necessitates the study of geographical and communal setting of environment in order to adopt a most effective approach to tackling crime. The paper reiterates that criminal statistics is a tool for answering questions, helps to approach the study of crime and justice from the scientifi c world and the facts obtained may aid in dealing with the crime problem, but reliance on crime statistics must be done with circumspection. The study reveals that many crimes are committed but never reported to the police, while of those reported, many are not recorded, and of those recorded, and many are not summarized or reflected in statistical tables. The initial stages of the criminalization process depend heavily upon the victims commitment to “making a complaint” which entails their acceptance of the burdens that may follow, with a preparedness to take the matter all the way to court and, if necessary, to give evidence. Also, the victims’ attitudes a times affect the figures generated for crime statistics. In some other instances, the police may not record a crime reported, if the police authority in their own discretion regard such incident as purely domestic matter or those that are too trivial to be investigated. The paper concludes that crime is assuming a frightening dimension as virtually everybody is becoming vulnerable to criminal attacks, brutal acts of terrorism, armed robbery, assassination, ritual killings, cultism, bombing, kidnapping and the like that are now prevalent and very alarming. Key words: Crime; Police; Criminal Justice; Administrators; Statistics; Complaint; Terrorism; Armed robbery; Assassination; Killings; Bbombing; Kidnapping
Multiobjective Stochastic Linear Programming: An Overview  [PDF]
A. Segun Adeyefa, Monga K. Luhandjula
American Journal of Operations Research (AJOR) , 2011, DOI: 10.4236/ajor.2011.14023
Abstract: Many Optimization problems in engineering and economic involve the challenging task of pondering both conflicting goals and random data. In this paper, we give an up-to-date overview of how important ideas from optimization, probability theory and multicriteria decision analysis are interwoven to address situations where the presence of several objective functions and the stochastic nature of data are under one roof in a linear optimization context. In this way users of these models are not bound to caricature their problems by arbitrarily squeezing different objective functions into one and by blindly accepting fixed values in lieu of imprecise ones.
Page 1 /407376
Display every page Item


Home
Copyright © 2008-2017 Open Access Library. All rights reserved.