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Biswas, Partha P.,Mallipeddi, R.,Suganthan, P.N.,Amaratunga, Gehan A.J. Elsevier 2017 Applied soft computing Vol.60 No.-
<P>Both active and reactive power play important roles in power system transmission and distribution networks. While active power does the useful work, reactive power supports the voltage that necessitates control from system reliability aspect as deviation of voltage from nominal range may lead to inadvertent operation and premature failure of system components. Reactive power flow must also be controlled in the system to maximize the amount of real power that can be transferred across the power transmitting media. This paper proposes an approach to simultaneously minimize the real power loss and the net reactive power flow in the system when reinforced with distributed generators (DGs) and shunt capacitors (SCs). With the suggested method, the system performance, reliability and loading capacitycan be increased by reduction of losses. A multiobjective evolutionary algorithm based on decomposition (MOEA/D) is adopted to select optimal sizes and locations of DGs and SCs in large scale distribution networks with objectives being minimizing system real and reactive power losses. MOEA/D is the process of decomposition of a multiobjective optimization problem into a number of scalar optimization subproblems and optimizing those concurrently. Case studies with standard IEEE 33-bus, 69-bus, 119-bus distribution networks and a practical 83-bus distribution network are performed. Output results of MOEA/D method are compared with similar past studies and notable improvement is observed. (C) 2017 Elsevier B.V. All rights reserved.</P>
Biswas, Partha P.,Suganthan, P.N.,Mallipeddi, R.,Amaratunga, Gehan A.J. Elsevier 2018 ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENC Vol.68 No.-
<P><B>Abstract</B></P> <P>Optimal power flow (OPF) is a highly non-linear complex optimization problem where the steady state parameters of an electrical network need to be determined for its economical and efficient operation. The complexity of the problem escalates with ubiquitous presence of constraints in the problem. Solving OPF remains a popular but challenging task among power system researchers. In last couple of decades, numerous evolutionary algorithms (EAs) have been applied to find optimal solutions with different objectives of OPF. However, the search method adopted by EAs is unconstrained. An extensively used methodology to discard infeasible solutions found during the search process is the static penalty function approach. The process requires appropriate selection of penalty coefficients decided largely by tedious trial and error method. This paper presents performance evaluation of proper constraint handling (CH) techniques — superiority of feasibly solutions (SF), self-adaptive penalty (SP) and an ensemble of these two constraint handling techniques (ECHT) with differential evolution (DE) being the basic search algorithm, on the problem of OPF. The methods are tested on standard IEEE 30, IEEE 57 and IEEE 118-bus systems for several OPF objectives such as cost, emission, power loss, voltage stability etc. Single objective and weighted sum multi-objective cases of OPF are studied under the scope of this literature. Simulation results are analyzed and compared with most recent studies on the problem.</P> <P><B>Highlights</B></P> <P> <UL> <LI> Optimal power flow problems for IEEE 30, 57 and 118-bus systems are studied. </LI> <LI> Several single and multi-objective case studies are performed. </LI> <LI> Performances of 3-constraint handling techniques are analyzed. </LI> <LI> Differential evolution (DE) is used as basic search algorithm. </LI> <LI> Results are compared with most recent studies and improvement is observed. </LI> </UL> </P>
Basu, Partha,Dutta, Sankhadeep,Begum, Rakiba,Mittal, Srabani,Dutta, Paromita Das,Bharti, Alok Chandra,Panda, Chinmay Kumar,Biswas, Jaydip,Dey, Bindu,Talwar, Gursaran Prashad,Das, Bhudev Chandra Asian Pacific Journal of Cancer Prevention 2013 Asian Pacific journal of cancer prevention Vol.14 No.10
Curcumin and curcumin containing polyherbal preparations have demonstrated anti-microbial and antiviral properties in pre-clinical studies. Till date no therapeutic intervention has been proved to be effective and safe in clearing established cervical human papillomavirus (HPV) infection. The present study evaluated the efficacy of Basant polyherbal vaginal cream (containing extracts of curcumin, reetha, amla and aloe vera) and of curcumin vaginal capsules to eliminate HPV infection from cervix. Women were screened by Pap smear and HPV DNA test by PCR. HPV positive women without high grade cervical neoplasias (N=287) were randomized to four intervention arms to be treated with vaginal Basant cream, vaginal placebo cream, curcumin vaginal capsules and placebo vaginal capsules respectively. All subjects were instructed to use one application of the assigned formulation daily for 30 consecutive days except during menstruation and recalled within seven days of the last application for repeat HPV test, cytology and colposcopy. HPV clearance rate in Basant arm (87.7%) was significantly higher than the combined placebo arms (73.3%). Curcumin caused higher rate of clearance (81.3%) than placebo though the difference was not statistically significant. Vaginal irritation and itching, mostly mild to moderate, was significantly higher after Basant application. No serious adverse events were noted.
A Quick and Simple In-house Screening Protocol for Cold-Tolerance at Seedling Stage in Rice
( Hasina Khatun ),( Partha S Biswas ),( Hung Goo Hwang ),( Kyung-min Kim ) 한국육종학회 2016 Plant Breeding and Biotechnology Vol.4 No.3
Cold stress is an emerging threat for rice production in Bangladesh particularly in Boro season (winter rice) at seedling stage. Cold stress during seedbed stage or early establishment stage at the main field induces severe seedling mortality that increases cost cultivation and delays crop establishment and ultimately entails into low yield. Development of sustainable cold tolerant high yielding rice varieties warrants an efficient and economic screening technique of germplasms and breeding population. The protocols for cold screening that so far have been used by the breeders and reported in literature are generally dependent on natural cool temperature and/or expensive climate chamber. In this paper, we report an in-house screening protocol that requires less than three weeks to complete the screening cycle and can be used all year round for mass screening of breeding population.
A Tutorial on Different Classification Techniques for Remotely Sensed Imagery Datasets
Soumadip Ghosh,Sushanta Biswas,Debasree Sarkar,Partha Pratim Sarkar 한국산학기술학회 2014 SmartCR Vol.4 No.1
Classification techniques are used on large databases to develop models describing different data classes. Such analysis can provide deep insight for better understanding of different large-scale databases. Studies related to knowledge acquisition and effective knowledge development are also very popular in the remote sensing field with satellite imagery datasets. In any remote sensing research, the decision-making process mainly depends on the effectiveness of the classification process. Efficient classification techniques were developed and applied to the Statlog (Landsat Satellite) database at the University of California, Irvine Machine Learning Repository to identify six land type classes. We used three different classification algorithms on the large satellite imagery: multilayer perceptron backpropagation neural network (MLP BPNN), support vector machine (SVM), and k-nearest neighbor (k-NN). This research study aimed to evaluate the performance of these classification algorithms in the prediction of the classified lands from this large set of satellite imagery. We used different performance measures, such as classification accuracy, root-mean-square error, kappa statistic, true positive rate, false positive rate, precision, recall, and F-measure to evaluate the performance of each classifier. Among the three classification techniques applied, MLP BPNN turned out to be the best; next was k-NN, followed by SVM.
Reverse Bias Leakage Current Mechanism of AlGaN/InGaN/GaN Heterostructure
Apurba Chakraborty,Saptarsi Ghosh,Partha Mukhopadhyay,Sanjay K. Jana,Syed Mukulika Dinara,Ankush Bag,Mihir K. Mahata,Rahul Kumar,Subhashis Das,Palash Das,Dhrubes Biswas 대한금속·재료학회 2016 ELECTRONIC MATERIALS LETTERS Vol.12 No.2
The reverse bias leakage current mechanism of AlGaN/InGaN/GaNheterostructure is investigated by current-voltage measurement intemperature range from 298 K to 423 K. The Higher electric field acrossthe AlGaN barrier layer of AlGaN/InGaN/GaN double heterostructuredue to higher polarization charge is found to be responsible for strongFowler-Nordheim (FN) tunnelling in the electric field higher than3.66 MV/cm. For electric field less than 3.56 MV/cm, the reverse biasleakage current is also found to follow the trap assisted Frenkel-Poole(FP) emission in low negative bias region. Analysis of reverse FPemission yielded the barrier height of trap energy level of 0.34 eV withrespect to Fermi level.
Rahul Kumar,Ankush Bag,Partha Mukhopadhyay,Subhashis Das,Dhrubes Biswas 대한금속·재료학회 2016 ELECTRONIC MATERIALS LETTERS Vol.12 No.3
There exist discrepancies between reports on cross-hatch (CH)behaviour and its interaction with interfacial misfit dislocations in theliterature. In this work, a thorough CH analysis has been presentedby use of conventional and statistical analysis of AFM data. It hasbeen shown that correlation between cross-hatch and misfitdislocation depends on the growth conditions and residual strain. Anisotropic relaxation and dislocations, composition and epitaxial tilthave been studied by HRXRD analysis. To illustrate these findings,molecular beam epitaxy (MBE) grown metamorphic InGaAs onGaAs (001) samples have been used. Reciprocal space mapping hasbeen used to characterize the composition and relaxation whileepilayer tilt and dislocation have been investigated by HRXRDrocking curve. A better understanding of CH pattern can enable us tominimize the surface roughness for metamorphic electronic devicesand to fully utilize the quasi-periodic undulation in cross-hatch inapplications, like ordered quantum dot growth.
Ankush Bag,Rahul Kumar,Partha Mukhopadhyay,Mihir K. Mahata,Apurba Chakraborty,Saptarsi Ghosh,Sanjay K. Jana,Dhrubes Biswas 대한금속·재료학회 2015 ELECTRONIC MATERIALS LETTERS Vol.11 No.4
In-situ RHEED and ex-situ AFM characterizations have been employed to investigate transformations of surface topography with the thickness of PAMBE grown AlGaN and InGaN on GaN. The ternary alloys have been grown with identical growth-front roughness as confirmed by XRR and RHEED observations. The spottier RHEED has been observed with increased thickness of the InGaN as opposed to streakier behavior of AlGaN. We have noticed incremental nature of RMS roughness, skewness and kurtosis of InGaN surface compared to GaN or AlGaN from AFM as evident by final spotty RHEED for InGaN. However, the analyzed fractal dimension is lower for InGaN as opposed to AlGaN ( ). From the kinetic roughening perspective of adatoms, the experimental evidences lead to the high correlation between binding energy of the cluster atoms ( ) and the modified DDA growth model with dissociation and evaporation to confirm the efficacy of the study. The initial streaky and spotty RHEED of InGaN and AlGaN, respectively, can be attributed to their Eb that causes smoothing and roughening of the GaN surface due to adatoms surface mobility behavior. Therefore, the fractal description reveals the fact during formation of nitride hetero-interface while other AFM results describe the top surface.