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Search Results: 1 - 10 of 6545 matches for " Md. Kamruzzaman Sarkar "
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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.
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.
Crystallization, Transport and Magnetic Properties of the Amorphous (Fe1–xMnx)75P15C10 Alloys  [PDF]
Md. Kamruzzaman, Md. Abu Sayem Karal, Dilip Kumar Saha, Feroz Alam Khan
Journal of Crystallization Process and Technology (JCPT) , 2012, DOI: 10.4236/jcpt.2012.23013
Abstract: The amorphous (Fe1-xMnx)75P15C10 (0 ≤ x ≥ 0.30) alloys were prepared by the standard melt spinning technique and investigated their crystallization, thermal, transport and magnetic properties. Crystallization was observed from 400℃ to 650℃ with an interval 50℃within 30 minutes annealing time by XRD. The as-cast samples were amorphous in nature. Annealing 400℃ to 450℃ samples showed the mixed bcc Fe and amorphous structures. The lattice parameter ‘a’ was varied from 2.855 to 2.859 ? but above 450℃, samples contained hexagonal, FeP and FeC structures. The lattice parameters ‘a’ and ‘c’ were varied from (5.016-5.036) ? and (13.575-13.820) ? , respectively. Average crystallite size was found to vary from 8 to 48 nm. Crystallization temperature and weight change were observed by differential thermal analysis and thermogravimetric analysis, respectively. Crystallization temperature was increased with increasing Mn content. Resistivity was increased above and bellows the Curie temperature. Real permeability remained almost constant upto around 106 Hz for of all samples after that it was decreased with increasing frequency and it was also decreased with Mn, whereas imaginary permeability was increased sharply above frequency 107 Hz. The value of saturation magnetization was found to decrease with increment Mn.
A New Data Mining Scheme Using Artificial Neural Networks
S. M. Kamruzzaman,A. M. Jehad Sarkar
Sensors , 2011, DOI: 10.3390/s110504622
Abstract: Classification is one of the data mining problems receiving enormous attention in the database community. Although artificial neural networks (ANNs) have been successfully applied in a wide range of machine learning applications, they are however often regarded as black boxes, i.e., their predictions cannot be explained. To enhance the explanation of ANNs, a novel algorithm to extract symbolic rules from ANNs has been proposed in this paper. ANN methods have not been effectively utilized for data mining tasks because how the classifications were made is not explicitly stated as symbolic rules that are suitable for verification or interpretation by human experts. With the proposed approach, concise symbolic rules with high accuracy, that are easily explainable, can be extracted from the trained ANNs. Extracted rules are comparable with other methods in terms of number of rules, average number of conditions for a rule, and the accuracy. The effectiveness of the proposed approach is clearly demonstrated by the experimental results on a set of benchmark data mining classification problems.
A Study on Tomato Candy Prepared by Dehydration Technique Using Different Sugar Solutions  [PDF]
Md. Hasanuzzaman, M. Kamruzzaman, Md. Mominul Islam, Sultana Anjuman Ara Khanom, Md. Mashiar Rahman, Laisa Ahmed Lisa, Dipak Kumar Paul
Food and Nutrition Sciences (FNS) , 2014, DOI: 10.4236/fns.2014.513137
Abstract: The aim of the research was to develop a self-stable dehydrated tomato product using different sugar solutions and to study the effects of the sugar solution on the characteristic of tomato candy. Tomato was immersed into the sugar solution with the concentrations of 40%, 50% and 60% for 24 hours. Moisture, ash, protein, fat, vitamin C, acidity, total sugar, crude fiber, total SO2 and salt content and organoleptic quality and microbiological status of the prepared candy were analyzed. There was a tendency of decreasing moisture, ash, protein, fat, vitamin C, acidity, crude fiber and increasing total sugar content with increased concentration of sugar solution used. On the microbiological analysis, total bacteria and total fungus load were increased with increasing the concentration of sugar solution. The best characteristic of tomato candy was found with 40% sugar solution, with highest nutrient and sensory score and lowest microbial load than candy prepared with 50% and 60% sugar solution.
Performance Analysis of Pulse Shaping Technique for OFDM PAPR Reduction
S. M. Kamruzzaman,Md. Anisur Rahman
Mathematics , 2010,
Abstract: Orthogonal Frequency Division Multiplexing (OFDM) is an attractive modulation and multiple access techniques for channels with a nonflat frequency response, as it saves the need for complex equalizers. It can offer high quality performance in terms of bandwidth efficiency, robustness against multipath fading and cost-effective implementation. However, its main disadvantage is the high peak-to-average power ratio (PAPR) of the output signal. As a result, a linear behavior of the system over a large dynamic range is needed and therefore the efficiency of the output amplifier is reduced. In this paper, we investigate the effect of some of these sets of time waveforms on the OFDM system performance in terms of Bit Error Rate (BER). We evaluate the system performance in AWGN channels. The obtained results indicate that the reduction in PAPR of the investigated methods is associated with considerable improvement in BER performance of the system, in multipath channels, as compared to conventional OFDM. These promising results indicate that pulse shaping with reduced PAPR is an attractive solution for an OFDM system.
An Algorithm to Extract Rules from Artificial Neural Networks for Medical Diagnosis Problems
S. M. Kamruzzaman,Md. Monirul Islam
Computer Science , 2010,
Abstract: Artificial neural networks (ANNs) have been successfully applied to solve a variety of classification and function approximation problems. Although ANNs can generally predict better than decision trees for pattern classification problems, ANNs are often regarded as black boxes since their predictions cannot be explained clearly like those of decision trees. This paper presents a new algorithm, called rule extraction from ANNs (REANN), to extract rules from trained ANNs for medical diagnosis problems. A standard three-layer feedforward ANN with four-phase training is the basis of the proposed algorithm. In the first phase, the number of hidden nodes in ANNs is determined automatically by a constructive algorithm. In the second phase, irrelevant connections and input nodes are removed from trained ANNs without sacrificing the predictive accuracy of ANNs. The continuous activation values of the hidden nodes are discretized by using an efficient heuristic clustering algorithm in the third phase. Finally, rules are extracted from compact ANNs by examining the discretized activation values of the hidden nodes. Extensive experimental studies on three benchmark classification problems, i.e. breast cancer, diabetes and lenses, demonstrate that REANN can generate high quality rules from ANNs, which are comparable with other methods in terms of number of rules, average number of conditions for a rule, and predictive accuracy.
Extraction of Symbolic Rules from Artificial Neural Networks
S. M. Kamruzzaman,Md. Monirul Islam
Computer Science , 2010,
Abstract: Although backpropagation ANNs generally predict better than decision trees do for pattern classification problems, they are often regarded as black boxes, i.e., their predictions cannot be explained as those of decision trees. In many applications, it is desirable to extract knowledge from trained ANNs for the users to gain a better understanding of how the networks solve the problems. A new rule extraction algorithm, called rule extraction from artificial neural networks (REANN) is proposed and implemented to extract symbolic rules from ANNs. A standard three-layer feedforward ANN is the basis of the algorithm. A four-phase training algorithm is proposed for backpropagation learning. Explicitness of the extracted rules is supported by comparing them to the symbolic rules generated by other methods. Extracted rules are comparable with other methods in terms of number of rules, average number of conditions for a rule, and predictive accuracy. Extensive experimental studies on several benchmarks classification problems, such as breast cancer, iris, diabetes, and season classification problems, demonstrate the effectiveness of the proposed approach with good generalization ability.
Quality Evaluation of Ginger Candy Prepared by Osmotic Dehydration Techniques  [PDF]
Md Sahin Alam, M. Kamruzzaman, Sultana Anjuman Ara Khanom, Mohammad Robel Hossen Patowary, Md Toufiq Elahi, Md Hasanuzzaman, Dipak Kumar Paul
Food and Nutrition Sciences (FNS) , 2018, DOI: 10.4236/fns.2018.94030
Abstract: The study was carried out to develop and compare Ginger candy from fresh indigenous and China Ginger. Ginger was immersed into the sugar solution with the concentrations of 50%, 60% and 70% sugar solution. Moisture, ash, protein, fat, crude fiber and total sugar content and organoleptic quality and microbial status of the prepared candy were analyzed. Moisture, ash, protein, fat and crude fiber content was found to be lower with increased concentration of sugar solution used, whereas total sugar content was found to be higher. Total bacterial count was increased with increasing the concentration of sugar solution. The best characteristic of Ginger candy was found with 50% sugar solution, with highest nutrient and lowest microbial load than candy prepared with 60% and 70% sugar solution.
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