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Search Results: 1 - 10 of 4656 matches for " Md. Altab Hossin "
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Impact of Information System on Transformation of Human Resource Performance: An Exploratory Study in Oromia Radio and Television Organization  [PDF]
Tanjim Tomanna, Dawit Yadeta Gerbi, Md. Altab Hossin, Shiyun Zhang
Journal of Human Resource and Sustainability Studies (JHRSS) , 2018, DOI: 10.4236/jhrss.2018.61025
Abstract: In the last few decades, emerging hyper-competitive era has increased the demand of information system and technology on human resource management for competitiveness. The revolution of information system and technology is completely and rapidly redefining the way of things are done in almost every field of human activity. Many firms are looking for utilizing the two elements (human resources and information system) as strategic weapons to compete. In particular, information system is demonstrated for human resource management that referred as human resource information system (HRIS). The HRIS is an integrated system mostly used to collect data, govern, record and to deliver and present data for human resource and hence promotes and transforms appropriateness of transforming human resource performance. This paper focuses on the impact of information system on transformation of human resource performance, the case of Oromia radio and television organization in Ethiopia. Both literature studies and interviews were done in this study to accrue information.
One Belt One Road Initiative of China: Implication for Future of Global Development  [PDF]
Md Nazirul Islam Sarker, Md Altab Hossin, Xiaohua Yin, Md Kamruzzaman Sarkar
Modern Economy (ME) , 2018, DOI: 10.4236/me.2018.94040
Abstract: One Belt One Road (OBOR) initiative is a historical initiative which connects the people over the world and facilitates various opportunities for global peace. The main purpose of this study is to explore implication of One Belt One Road initiative for global future development. It also analyzes the reasons of origin, strategy, opportunities and challenges of OBOR initiatives on the basis of business, economic, political, social and environmental aspects. This study uses qualitative approach and secondary data particularly journal articles, conference proceedings, various documents of government, books, newspaper articles, magazine articles, and various websites of internet have been extensively used to determine the objectives. This article argues that partner countries and agencies will get economic and political benefits from these initiatives. It facilitates to connect people through road ways, air ways and water ways, coordinating policies of various governments, financial integration through cross border business, productivity and regional energy security. This study also analyzes risks and challenges associated to OBOR initiative implementation. It suggests that strong coordination among partners of OBOR is necessary to get full fruits of OBOR through supportive law, policy, rules and regulations, proper strategy implementation, transparent procurement system, sincere consideration on political, financial, environmental and social factors.
Oil, Gas and Energy Business under One Belt One Road Strategic Context  [PDF]
Md. Nazirul Islam Sarker, Md. Altab Hossin, Yinxiao Hua, Md. Kamruzzaman Sarkar, Nitin Kumar
Open Journal of Social Sciences (JSS) , 2018, DOI: 10.4236/jss.2018.64011
Abstract:
One Belt One Road (OBOR) Initiative of China is a mega and historical project which facilitates international oil, gas and energy trade and connects people over the world. This article examines the oil, gas, and energy business status under OBOR. It also explores the risk associated with oil, gas and energy business under OBOR initiative of China. The article used secondary sources extensively. The article reveals that China is the top-level energy importing country and the strategy of OBOR is favorable for oil, gas and energy business for all partner countries of OBOR. It also explores the potential risk for oil, gas and energy business under OBOR like political risk, economic risk, investment environment, resource potential, environmental constraints and Chinese factors which can be minimized by using two risk free economic corridors viz. China-Pakistan Corridor (CPEC) and Myanmar-China oil pipeline. The article suggests that a strong initiative should be taken by the government to implement OBOR strategy for creating favorable investment opportunities in China especially for Middle Eastern countries like Saudi Arabia, Russia, Kazakhstan, and Pakistan.
Practices of Low Carbon Economy in China: Challenges and Opportunities for Economic Development  [PDF]
Md. Nazirul Islam Sarker, Md. Altab Hossin, Jhensanam Anusara, Bouasone Chanthamith, Nitin Kumar
Low Carbon Economy (LCE) , 2018, DOI: 10.4236/lce.2018.91002
Abstract: Global warming is a major concern in the globalized world in the aspect of industrialization. Low carbon practices are the major strategies to control global warming. Low carbon economy is the fundamental pattern of the mainstream economy in the perspective of ecology. The aim of this study is to explore the status of low carbon economy of China through assessing low carbon practices. It also finds out the challenges and opportunities of low carbon practices for sustainable economic development. An extensive literature review with meta-analysis has been done considering various indicators of low carbon practices. The study explores that China already adopted some policy, strategy, and practices regarding low carbon economy. China already set its policy regarding control of carbon emission by 2030. Research and innovation in low carbon practices, low carbon industrial structure, low carbon technology adoption and emphasizes on environmental sustainability are the major initiatives of China for low carbon economy. Major challenges regarding low carbon practices are heavy pressure on carbon emission, heavy industrialization, extensive development stream, resource endowment, unplanned industrial structure and trade, and confusion regarding industrial transformation. This study suggests that vigorous and efficient planning in industrialization, improved technology adoption, ecological consideration in every project and sufficient finance are necessary to obtain better low carbon economy in China.
Classification of Hematological Data Using Data Mining Technique to Predict Diseases  [PDF]
Fahmida Akter, Md Altab Hossin, Golam Moktader Daiyan, Md. Motaher Hossain
Journal of Computer and Communications (JCC) , 2018, DOI: 10.4236/jcc.2018.64007
Abstract: Over the years, the amount of information about patients and medical information has grown substantially. Moreover, due to an increase of blood diseases patients, conventional diagnostic tests have been using by the medical pathologists which are low in cost and result in an inaccurate diagnosis. To recognize optimal disease pattern from hematological data, a reliable prediction methodology is needed for medical professionals. Data mining approaches permit users to examine data from various dimensions, group it and sum up the relationships identified. Classification is a vital data mining technique with extensive applications. Classification algorithms are applied to categorize every item in a set of data into one of a known set of classes. The objective of this paper is to compare different classification algorithms using Waikato Environment for Knowledge Analysis and to find out a most effective algorithm for end-user functioning on hematological data. The most efficient algorithm found is Random Forest having accurateness at 96.47% and the overall time is taken to construct the model is 0.16 seconds which is more efficient than different existing works. On the contrary, Multilayer Perceptron classifier has the lowest accuracy of 75.29% with 1.92 seconds to construct the model.
Low Carbon City Development in China in the Context of New Type of Urbanization  [PDF]
Md. Nazirul Islam Sarker, Md. Altab Hossin, Yin Xiao Hua, Jhensanam Anusara, Srichiangrai Warunyu, Bouasone Chanthamith, Md. Kamruzzaman Sarkar, Nitin Kumar, Sita Shah
Low Carbon Economy (LCE) , 2018, DOI: 10.4236/lce.2018.91004
Abstract: Urbanization is an important part of economic development in China which directly related to industrial development. Industrial development is based on energy production, consumption, and trade. A new type of urbanization with low carbon city development is an urgent matter in the researcher community for developing an appropriate strategy, policy, technology, and action. The aim of this study is to explore the status and assess the strategy and policy of low carbon city development in the context of urbanization. It also finds out the effects of new type of urbanization on low carbon city development by finding out constraints and providing recommendations. An extensive literature review with meta-analysis has been done considering various indicators of low carbon city development. This study reveals that most of the large cities are already under the pilot projects of low carbon city development. It also finds out some major indicators of low carbon city like economic growth, energy using pattern, social and lifestyle factor, carbon and environment, urban mobilization, solid waste management, and water management in the context of urbanization. Rapid urbanization requires more building construction and energy which emits more GHG. It suggests that an assessment index system should be introduced by the government to control, monitor and motivate people to use low carbon technology. It further suggests that rules and regulations, awareness building, locality-based technology and practices, and participation of all stakeholders in policy making should be maintained by the government for sustainable low carbon city development in China.
Analysis of Neutronics and Thermal-Hydraulic Behavior in a Fuel Pin of Pressurized Water Reactor (PWR)  [PDF]
Md. Ghulam Zakir, M. A. Rashid Sarkar, Altab Hossain
World Journal of Nuclear Science and Technology (WJNST) , 2019, DOI: 10.4236/wjnst.2019.92005
Abstract: This paper presents a comparative analysis of different parameters such as enthalpy, moderator temperature, moderator density, flow velocity, pressure, and fuel temperature profile at the fuel pin cell level of PWR. Moreover, in this paper pitches to fuel pin radius ratio are varied from 2.3 to 4. The methods and implementation strategy are such that the coupled neutronic and thermal-hydraulic analysis is executed in a fully one dimensional (1D) manner. The thermal hydraulic is based on moderator/coolant mass and enthalpy equation together with one group diffusion equation for fuel pin. Modelling of fuel pin cell and subchannel is executed in two steps. First, the governing equations are derived assuming that all the parameters appearing in the equations are temperature independent. Fuel pin centerline temperature and radially averaged temperature equations are derived from Fourier laws of thermal conductivity. Finally, diffusion coefficient, fission cross-section and absorbing cross-section are evaluated with respect to the fuel pin temperature. The outcome will be helpful for further neutronics and thermal analysis of PWR. Thermal hydraulics parameter varies the maximum 30 percentage from the lowermost value.
Socio-Demographic and Economic Correlates of Climate Change Coping and Adaptation Strategies: A Study on the Farmer Communities in Barisal District, Bangladesh  [PDF]
Md. Nazmul Huda, Muhammad Zakir Hossin, Syed Ashik-E-Elahi, Farzana Mahbub
American Journal of Climate Change (AJCC) , 2016, DOI: 10.4236/ajcc.2016.52016
Abstract: The major objective of the study is to apply Conservation of Resource (COR) theory for examining the influence of farmers’ socio-demographic and economic correlates upon their adoption of agricultural, economic and emotion-focused coping and adaptation strategies of climate change. An interview schedule developed from the COR theory was utilized for data collection. Using multistage cluster sampling technique, a total of 384 farmers were chosen from Agailjhara Upazila of Barisal District and interviewed through a predesigned structured questionnaire. For triangulation of the quantitative findings, the study employed case study technique to collect qualitative data from the respondents. The findings of the study demonstrate that the most common emotion- focused, agricultural and economic coping and adaptation strategies of climate change were social support seeking (79.69%), planting trees (71.35%), homestead gardening (52.08%), hydroponic farming/floating garden (46.88%), duck rearing (30.73%), saving (20.83%), self-insurance (18.75%), etc. Bivariate results indicate that age, ownership of land, income and ownership of television or mobile phone were found significantly correlated with the three variables, including economic, agricultural and emotion-focused coping and adaptation strategies of COR theory. Again, access to microcredit has relationship with economic and agricultural adaptation strategies. Furthermore, education has significant relationship with agricultural adaptation strategies. The study suggests that continuous researches by policy makers, researchers, GOs and NGOs are very essential to exploring and enhancing farmers’ coping and adaptation strategies which may relegate the adverse impacts and vulnerabilities of climate change in the study area.
Design of Reversible Sequential Circuit Using Reversible Logic Synthesis
Md. Belayet Ali,Md. Mosharof Hossin,Md. Eneyat Ullah
International Journal of VLSI Design & Communication Systems , 2012,
Abstract: Reversible logic is one of the most vital issue at present time and it has different areas for its application, those are low power CMOS, quantum computing, nanotechnology, cryptography, optical computing, DNA computing, digital signal processing (DSP), quantum dot cellular automata, communication, computer graphics. It is not possible to realize quantum computing without implementation of reversible logic. The main purposes of designing reversible logic are to decrease quantum cost, depth of the circuits and the number of garbage outputs. In this paper, we have proposed a new reversible gate. And we have designedRS flip flop and D flip flop by using our proposed gate and Peres gate. The proposed designs are better than the existing proposed ones in terms of number of reversible gates and garbage outputs. So, this realization is more efficient and less costly than other realizations.
PREDICTION OF POWER GENERATION OF SMALL SCALE VERTICAL AXIS WIND TURBINE USING FUZZY LOGIC
Altab Md. Hossain,Ataur Rahman,Mozasser Rahman,SK. Hasan
Journal of Urban and Environmental Engineering , 2009,
Abstract: Renewable energy from the wind turbine has been focused for the alternative source of power generation due to the following advances of the of the wind turbine. Firstly, the wind turbine is highly efficient and eco-friendly. Secondly, the turbine has the ability to response for the changeable power generation based on the wind velocity and structural framework. However, the competitive efficiency of the wind turbine is necessary to successfully alternate the conventional power sources. The most relevant factor which affects the overall efficiency of the wind turbine is the wind velocity and the relative turbine dimensions. Artificial intelligence systems are widely used technology that can learn from examples and are able to deal with non-linear problems. Compared with traditional approach, fuzzy logic approach is more efficient for the representation, manipulation and utilization. Therefore, the primary purpose of this work was to investigate the relationship between wind turbine power generation and wind velocity, and to illustrate how fuzzy expert system might play an important role in prediction of wind turbine power generation. The main purpose of the measurement over the small scaled prototype vertical axis wind turbine for the wind velocity is to predict the performance of full scaled H-type vertical axis wind turbine. Prediction of power generation at the different wind velocities has been tested at the Thermal Laboratory of Faculty of Engineering, Universiti Industri Selangor (UNISEL) and results concerning the daily prediction have been obtained.
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