Browsing by Author "Shafiqul Islam, Md."

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Analysis and design of a balanced output static converter
(Department of Electrical and Electronic Engineering, BUET, 1989-06) Shafiqul Islam, Md.; Khan, Dr. Shahidul Islam
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Current scenerio of classroom teaching practice in primary schools: its impact on quality primary education in Bangladesh
(University of Dhaka, 2018-12-19) Shafiqul Islam, Md.
Classroom teaching is immensely significant in ensuring quality education.The main purpose of the study was to see the current scenerio of classroom teaching practices in Bangladesh. It examined primary school teachers‟ works in classrooms and how it impacts on quality primary education in Bangladesh. The study was focused mainly on the basic aspects of teachers‟ pedagogical practices. The aspects have been determined by exploring and examining literature, documents and research studies on effective teaching-learning process and quality education. A framework of quality indicators had been developed for analyzing teachers‟ pedagogical practices. This study had been conducted on different government primary schools of eight districts in Bangladesh. Mainly direct classroom observation and interview methods had been followed in this study. The study explored the variations of pedagogical practices of trained and untrained teachers. It also examined the differences between the teaching practices of male and female teachers.Data had been collected through the means of document analysis, physical observation of classrooms and in-depth interview with the stakeholders. For observation 40 Assistant Teachers and for interview 60 Respondentshad been selected which included Head Teachers, AUEOs, UEOs, PTI and URC instructors, PTI superintendents and DPEOs. This study resulted separately the impact of pedagogical practices of trained and untrained as well as male and female teachers on quality primary education. The findings also revealed that(i) the classroom teaching practice in primary schools of Bangladesh was not satisfactory enough, (ii) there were some acute and crucial differences between the teaching practices of trained and untrained as well as the male and female teachers, (iii) there were differences between the teaching practices of trained and untrained teachers however not enough significant and (iv)the overall performances of male teachers were found a bit better than that of the female. The findings also provided some additional information such as impact of curriculum, training, contact hour, infrastructure, inspection system, teachers‟ overloaded activities and job satisfaction concerning quality primary education and added a great value.
Studying the behaviour of shear wall-floor slab connections using artificial neural network (ANN)
(Department of Civil Engineering, 1998-12) Shafiqul Islam, Md.; Shafiul Bari, Dr. Md.
The behaviour of shear wall-floor slab connections has been studied by using artificial neural network (ANN). An artificial neural network is an information-processing system based on the observed behaviour of biological nervous systems. A neural net consists of a large number of simple processing elements called neurones. Each neurone is connected to another neurone by means of direct communication links, each with an associated weight. The strength of the connections is dictated by the weights, which connect different neurones. . Each neurone accepts a set of inputs from other neurones and also from external sources and generates an output. Structural design requires engineering judgement, intuition, experience and creative abilities in addition to number of options available to the designer. The ANN approach has the capabilities to incorporate some of the above-mentioned requirements for development of computer programs in structural design. ANN has been used in this thesis to (i) to determine the effective width of slabs coupling walls of different shapes and (ii) to determine the critical perimeter and ultimate punching shear capacity of the shear wall-floor slab junction, A computer program is also developed for determining the effective width and the ultimate punching shear capacity of the shear wall-floor slab junction. The effective width and ultimate failure load of slabs coupling walls of different shapes as predicted by ANN is compared with the experimental and theoretical results available. The agreement is found very good. The effect of shear wall thickness, opening between shear walls, effect of flange wall etc. on effective width and ultimate failure load of slabs are also analyzed. Once the neural network is developed, it will be able to predict the effective width and ultimate failure load for different new parameters within fraction of minute. It has been revealed that application of ACI and British Code in case of shear wall structures for calculating punching shear strength may lead to an overestimation of strength. In most practical cases, the formula proposed by Bari M. S. gives a conservative estimation of punching shear strength of shear wall structures.