In this paper, we study U-ample I-semigroups and obtain its structure theorem. It is proved that a semigroup is a U-ample I-semigroup if and only if it can be expressed by W GBR (M, θ), namely, the weakly generalized Bruck-Reilly extension of a monoid. This result not only extends and amplifies the structure theorem of I-bisimple semigroups given by RJ Warne, but also generalizes the structure theorem of*-bisimple type AI-semigroups given by Y. Shang and L. Wang in 2012.
RU Ndubuisi, KP Shum, RB Abubakar, MA Mbah
A review of energy demand management systems and progress of energy supply and demand matching in Ghana
Recent unruly energy crisis Ghana is facing and ways to control it, has led to the completion of an extensive literature search both in the specific field of research (energy systems) and specific topic of research (energy demand and supply matching), which revealed the gaps in literature leading to a proposed topic of research that seeks to embark on the development of a model for the prediction of domestic energy demand and usage in Ghana. The aim of this work is to identify the gaps in literature with respect to the specific topic of research and consequently defining a research problem identified from the limitations and recommendations made for further research works. Specific objectives are then formulated, which include; analyzing the inadequacies of the existing practices and factors to arrive at demand and supply for domestic energy consumption in Ghana which stipulated the need to unveil the progress of energy supply and demand gap for domestic energy consumption in Ghana and ways to mitigate the existing gap.
Ruhiya Abubakar, SR Shankapul, Nana Osei Darkwa, Samuel Akwasi Frimpong
A Study on the Improvement of Wireless Power Transfer Efficiency by using Arrangement Structure Optimization
Y.B. Yung (정영배) 2. S. Afoakwa, A. Kyei, Henry Diawuo
Adoption of smart grid in Ghana using pattern recognition neural networks
Deployment of Smart Grid is neither a goal nor a destination, but rather an enabler to the provision of reliable, secured and clean electricity for the end- user or consumer. Overall Smart Grid vision is very well explained with the future of electricity systems, which largely depends on digitization and automation of the overall electricity value-chain, by enhancing electric power information to bi-directional flow and the provision of services that can support the operations of the generation, distribution and end-user usage of power can lead to improvement of electric power system efficiency. This work aims at analyzing factors and forecast effects on the adoption of Smart Grid in Ghana using Pattern Recognition Neural Net. The Primary data was collected using structured questionnaire and the questions were designed to test the perception of consumers on the deployment of Smart Grid. Also, the target group of …
Ruhiya Abubakar, Emmanuel K Effah, Samuel Akwasi Frimpong, Amevi Acakpovi, Govind R Kadambi, KM Sharath Kumar
Age and gender as determinants of academic achievements in college mathematics
Mathematics Education occupies a central position to all disciplines. This study considered age and gender as determinants of academic achievement (CGPA) of Mathematics students. The study used thirty eight (38) females and forty (40) males giving a total sample of seventy eight (78). Scatter-plot, mean and Standard deviation were used for the descriptive statistics while univariate analysis of variance (ANOVA) and multiple regressions were used for the inferential statistics. T-test was used to test the null hypothesis formulated (P< 0.05). Result revealed a linear relationship between, age-CGPA and gender–CGPA. A low positive correlation coefficients was obtained for ages and gender (r= 0.142 and 0.004) which were not significant. The predictor variables jointly accounted for 2.1% of the variance, age was the better predictor. The null hypothesis tested was accepted implying no significant gender difference in academic achievement of the students. It was suggested that some more variables be included so as to determine significant correlation of students’ academic achievement of Mathematics students.
R Bada Abubakar, Ibrahim Adegboyega Bada
Age and gender as predictors of academic achievement of college mathematics and science students
This study examined the correlates between age and gender on academic achievement (CGPA) of Mathematics and Science students. The study used three hundred and thirty-two (332) students; two hundred and twenty-three (223) females and one hundred and nine (109) males. Scatter-plot, mean and Standard deviation were used for the descriptive statistics while univariate analysis of variance (ANOVA) and multiple regression were used for the inferential statistics. Z-test was used to test the null hypothesis formulated (P< 0.05). Result revealed a linear relationship between, age-CGPA and gender–CGPA. A low positive correlation coefficients was obtained for ages and gender (r= 0.030 and 0.111) which significant. The predictor variables jointly accounted for 1.3% of the variance, gender was the better predictor. The null hypothesis tested was accepted implying no significant gender difference in academic achievement of the students. It was suggested that some more variables be included so as to determine significant contributory effect of students academic achievement of Mathematics students.
Age and Gender as predictors of Academic Achievement of College Mathematics and Science Students, in" Instructional conference on teaching, learning and change
An Android Application for Clinical Diagnosis Using NLP and Fuzzy Logic
The application of natural language processing (NLP) methods to designing conversational frameworks for health diagnosis improves patients’ access to medical information. An Android application based on fuzzy logic rules and fuzzy inference was created in this research. In Ghana, the service assesses the symptoms of diseases. The android application is built with the Support Vector Machine learning technique, with the aim of improving the model’s accuracy and performance. Natural Language Processing is often used by the machine to achieve the conversational style of asking the users for their symptoms. People can spend less time in hospitals and get low-cost or free care by using this technique, which is mainly used in Ghana’s rural areas.
Samuel Afoakwa, Crentsil Kwayie, Joseph Owusu