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Demand side management for solving environment constrained economic dispatch of a microgrid system using hybrid MGWOSCACSA algorithm

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CAAI Transactions on Intelligence Technology 2022年第2期7卷 256-267页

作者： Sourav Basak Bishwajit dey Biplab Bhattacharyya Department of Electrical Engineering Indian Institute of Technology(Indian School of Mines)DhanbadIndia Department of Electrical and Electronics Engineering Gandhi Institute of Engineering and TechnologyGunupurOdishaIndia

Microgrids are a type of restricted power distribution systems in which electricity is generated,transmitted,and distributed within a small geographic *** are used to ensure that renewable energy sources are used to their full *** provide further benefits,such as lowering transmission losses and the expenses associated with *** research compares and contrasts the aims of economic dispatch,emission dispatch,fractional programing based combined economic emission dispatch,and environmental restricted economic dispatch(ECED).A low-voltage microgrid system is investigated for three different *** a study optimization tool,an innovative,resilient,and strong hybrid swarm-intelligence optimization algorithm is utilised,which is based on combining the properties of the traditional grey-wolf optimiser,sine-cosine algorithm,and crow search *** employment of a time-of-use energy mar-ket pricing approach instead of a fixed pricing plan resulted in a 15%decrease in gen-eration costs throughout the course of the *** ECED was assessed with a 15%-20%demand side management based restructured load demand model for the microgrid system,the generation costs were reduced even further.

关键词： demand side management energy management MGWOSCACSA microgrid

Mineralogy and textural impact on beneficiation of goethitic ore

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International Journal of Mining Science and Technology 2017年第3期27卷 445-450页

作者： dey Shobhana Mohanta Manoj K. Singh Ratnakar Mineral Processing Division CSIR-National Metallurgical Laboratory Jamshedpur 831007 India

The effect of mineralogy and texture on the beneficiation of goethitic ores from two different origins is highlighted. Sample A having 54.47% Fe with 8.57% loss of ignition （LOl） indicates the presence of vitreous and ochreous goethite, martite and microplaty hematite as the major minerals. Sample B contains 56.90% Fe with 14.4% LOI. There is a pisolithic laterite containing vitreous and ochreous goethite, quartz, kaolinitic clay and there is no hematite mineral. The liberated minerals in -150 ＋ 100 μm size class are 74% for Sample A and 37% only for Sample B which shows that the Sample A appears to be more amenable to beneficiate. A concentrate of 46.7% with 63.22% Fe could be recovered from Sample A while subjected to gravity separation followed by wet magnetic separation. The Sample B does not respond to gravity and magnetic separation due to its complex mineralogy. However, calcination of the Sample B followed by magnetic separation gives the encouraging results. Thus, anomalous behaviour of the goethite dominated ores in beneficiation is attributed to the different textural and liberation characteristic.

关键词： Texture Pisolitic Ochreous goethite Vitreous goethite Calcination

Probing the compound effect of spatially varying intrinsic defects and doping on mechanical properties of hybrid graphene monolayers

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Journal of Materials Science & Technology 2020年第15期47卷 44-58页

作者： Kritesh Kumar Gupta Tanmoy Mukhopadhyay Aditya Roy Sudip dey Department of Mechanical Engineering National Institute of Technology SilcharSilcharIndia Department of Aerospace Engineering Indian Institute of Technology KanpurKanpurIndia

Doping in pristine 2 D materials brings about the advantage of modulating wide range of mechanical properties ***,intrinsic defects(such as Stone-Wales and nanopore) in such hybrid materials are inevitable due to complex manu facturing and synthesis *** that,de fects and irregularities can be intentionally induced in a pristine nanostructure for multi-synchronous modulation of various multi-functional *** the case may be,in order to realistically analyse a doped graphene sheet,it is of utmost importance to investigate the compound effect of doping and defects in such 2 D *** we present a molecular dynamics based investigation for probing mechanical properties(such as Young’s modulus,post-elastic behaviour,failure strength and strain)of doped graphene(C14 and Si) coupling the effect of inevitable *** sensitivity of defect and doping are systematically analyzed considering different rational *** study reveals the effects of individual defects and doping along with their possible compounded influences on the failure stress,failure strain,Young’s modulus and constitutive relations beyond the elastic *** detailed mechanical characterization under the practically relevant compound effects would allow us to access the viability of adopting doped graphene in various multifunctional nanoelectromechanical devices and systems in a realistic situation.

关键词： Defect in graphene Doped graphene Defected 2D material Temperature-dependent mechanical properties Spatial sensitivity of defect and doping

Forecasting of Software Reliability Using Neighborhood Fuzzy Particle Swarm Optimization Based Novel Neural Network

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IEEE/CAA Journal of Automatica Sinica 2019年第6期6卷 1365-1383页

作者： Pratik Roy Ghanshaym Singha Mahapatra Kashi Nath dey Department of Computer Science and Engineering University of CalcuttaKolkata-700106India Department of Mathematics National Institute of TechnologyPuducherryKaraikal-609609India

This paper proposes an artificial neural network(ANN) based software reliability model trained by novel particle swarm optimization(PSO) algorithm for enhanced forecasting of the reliability of software. The proposed ANN is developed considering the fault generation phenomenon during software testing with the fault complexity of different levels. We demonstrate the proposed model considering three types of faults residing in the software. We propose a neighborhood based fuzzy PSO algorithm for competent learning of the proposed ANN using software failure data. Fitting and prediction performances of the neighborhood fuzzy PSO based proposed neural network model are compared with the standard PSO based proposed neural network model and existing ANN based software reliability models in the literature through three real software failure data sets. We also compare the performance of the proposed PSO algorithm with the standard PSO algorithm through learning of the proposed ANN. Statistical analysis shows that the neighborhood fuzzy PSO based proposed neural network model has comparatively better fitting and predictive ability than the standard PSO based proposed neural network model and other ANN based software reliability models. Faster release of software is achievable by applying the proposed PSO based neural network model during the testing period.

关键词： Artificial neural network(ANN) fuzzy particle swarm optimization(PSO) reliability prediction software reliability

Preventing breast cancer in LMICs via screening and/or early detection: The real and the surreal

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World Journal of Clinical Oncology 2014年第3期5卷 509-519页

作者： Subhojit dey Indian Institute of Public Health-Delhi Gurgaon 122002HaryanaIndia

To review the present status of breast cancer(BC) screening/early detection in low- and middle-income countries(LMICs) and identify the way forward, an open focused search for articles was undertaken in Pub Med, Google Scholar and Google, and using a snowball technique, further articles were obtained from the reference list of initial search results. In addition, a query was put up on Research Gate to obtain more references and find out the general opinion of experts on the topic. Experts were also personally contacted for their opinion. Breast cancer(BC) is the most common cancer in women in the world. The rise in incidence is highest in LMICs where the incidence has often been much lower than high-income countries. In spite of more women dying of cancer than pregnancy or childbirth related causes in LMICs, most of the focus and resources are devoted to maternal health. Also, the majority of women in LMICs present at late stages to a hospital to initiate treatment. A number of trials have been conducted in various LMICs regarding the use of clinical breast examination and mammography in various combinations to understand the best ways of implementing a population level screening/early detection of BC; nevertheless, more research in this area is badly needed for different LMIC specific contexts. No-tably, very few LMICs have national level programs for BC prevention via screening/early detection and even stage reduction is not on the public health agenda. This is in addition to other barriers such as lack of awareness among women regarding BC and the presence of stigma, inappropriate attitudes and lack of following proper screening behavior, such as conducting breast self-examinations. The above is mixed with the apathy and lack of awareness of policy makers regarding the fact that BC prevention is much more cost-effective and humane than BC treatment. Implementation of population level programs for screening/early detection of BC, along with use of ways to improve

关键词： Breast cancer Screening Early detection Mammography Clinical breast examination Breast self examination Ultrasonography Awareness Developing countries Low-and middle-income countries

Workout Action Recognition in Video Streams Using an Attention Driven Residual DC-GRU Network

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Computers, Materials & Continua 2024年第5期79卷 3067-3087页

作者： Arnab dey Samit Biswas Dac-Nhuong Le Department of Computer Science and Technology Indian Institute of Engineering Science and TechnologyShibpurHowrah711103India Faculty of Information Technology Haiphong UniversityHaiphong180000Vietnam

Regular exercise is a crucial aspect of daily life, as it enables individuals to stay physically active, lowers thelikelihood of developing illnesses, and enhances life expectancy. The recognition of workout actions in videostreams holds significant importance in computer vision research, as it aims to enhance exercise adherence, enableinstant recognition, advance fitness tracking technologies, and optimize fitness routines. However, existing actiondatasets often lack diversity and specificity for workout actions, hindering the development of accurate recognitionmodels. To address this gap, the Workout Action Video dataset (WAVd) has been introduced as a significantcontribution. WAVd comprises a diverse collection of labeled workout action videos, meticulously curated toencompass various exercises performed by numerous individuals in different settings. This research proposes aninnovative framework based on the Attention driven Residual Deep Convolutional-Gated Recurrent Unit (ResDCGRU)network for workout action recognition in video streams. Unlike image-based action recognition, videoscontain spatio-temporal information, making the task more complex and challenging. While substantial progresshas been made in this area, challenges persist in detecting subtle and complex actions, handling occlusions,and managing the computational demands of deep learning approaches. The proposed ResDC-GRU Attentionmodel demonstrated exceptional classification performance with 95.81% accuracy in classifying workout actionvideos and also outperformed various state-of-the-art models. The method also yielded 81.6%, 97.2%, 95.6%, and93.2% accuracy on established benchmark datasets, namely HMDB51, Youtube Actions, UCF50, and UCF101,respectively, showcasing its superiority and robustness in action recognition. The findings suggest practicalimplications in real-world scenarios where precise video action recognition is paramount, addressing the persistingchallenges in the field. TheWAVd datas

关键词： Workout action recognition video stream action recognition residual network GRU attention

Ammonium persulphate promoted synthesis of polyethylene glycol entrapped potassium tribromide and its application in acylation and bromination of some selective organic compounds

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Chinese Chemical Letters 2013年第10期24卷 866-868页

作者： Rupa Rani dey Siddhartha Sankar Dhar Department of Chemistry National Institute of Technology

In this study, a new method of synthesis of polyethylene glycol supported potassium tribromide （PEG KBr3） and its application in acylation and bromination reactions are reported. Ammonium persulphate oxidizes I（Br to the corresponding tribromide which is entrapped by polyethylene glycol leading to stable PEG KBr3. The reagent is proved to be highly efficient for the acylation of variety of alcohols and bromination of activated aromatic substrates. The method is a mild, one pot reaction and involves no use of toxic reagents.

关键词： Potassium bromide Polyethylene glycol (PEG) Ammonium per sulphate Acylation Bromination

Synthesis of Nanocrystalline FeS_2 with Increased Band Gap for Solar Energy Harvesting

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Journal of Materials Science & Technology 2014年第8期30卷 770-775页

作者： Somnath Middya Animesh Layek Arka dey Partha Pratim Ray Department of Physics Jadavpur University

In this paper,we have reported the synthesis of FeS2 of higher band gap energy（2.75 eV） by using capping reagent and its successive application in organic-inorganic based hybrid solar *** route was adopted for preparing iron pyrite（FeS2） nanoparticles with capping reagent *** quality of synthesized FeS2 material was confirmed by X-ray diffraction,field emission scanning electron microscopy,transmission electron microscopy,Fourier transform infrared,thermogravimetric analyzer,and Raman *** optical band gap energy and electro-chemical band gap energy of the synthesized FeS2 were investigated by UV-vis spectrophotometry and cyclic *** band gap engineered FeS2 has been successfully used in conjunction with conjugated polymer MEHPPV for harvesting solar *** energy conversion efficiency was obtained as 0.064%with a fill-factor of 0.52.

关键词： Hydrothermal synthesis FeS2 nanoparticles Optical characterization Energy band gap

Effects of particle fractions on the Bingham yield stress and viscosity of fine-coarse particle suspensions

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Journal of Mountain Science 2021年第11期18卷 2960-2970页

作者： dey Litan JAN Chyan-Deng WANG Ji-Shang Department of Hydraulic and Ocean Engineering National Cheng Kung UniversityTainan 701Chinese Taipei Ecological Soil and Water Conservation Research Center National Cheng Kung UniversityTainan 701Chinese Taipei

The rheological behaviors of highly concentrated fine particle suspensions(clay-silt-water mixtures)and coarse particle suspensions(coarse particles within a fine particle suspension)were investigated in this *** results demonstrated that the Bingham Fluid Model with two rheological parameters,Bingham yield stressand viscosity,wellcharacterized the rheological behavior of fine particle suspensions at shear rates between 4 and 20 s^(-1).The inclusion of coarse particles within a fine particle suspension induced an enhancement to the rheological *** rheological parameters of a coarse particle suspension not only depend on its total particle fraction but also on its relative fine/coarse particle *** equations of these two parameters were proposed,quantitatively related to both fine and coarse particle *** indicated that the Bingham yield stress and viscosity are much more(an order larger)sensitive to changes in fine particle fraction than to changes in coarse particle fraction.

关键词： Coarse particle suspension Bingham Fluid Model Particle fractions Rheologicalparameters