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Chinese Optics Letters 2007年第8期5卷 480-483页

作者： Anup Kumar Maiti jitendra nath roy Sourangshu Mukhopadhyay Department of Electronics Panskura Banamali college MidnapurW.B.India Department of Physics College of Engineering & Management KolaghatKTPP Township.Midnapur(east)W.B.India Department of Physics University of Burdwan GolapbagBurdwanW.B.India

In the field of optical computing and parallel information processing, several number systems have been used for different arithmetic and algebraic operations. Therefore an efficient conversion scheme from one number system to another is very important. Modified trinary number （MTN） has already taken a significant role towards carry and borrow free arithmetic operations. In this communication, we propose a tree-net architecture based all optical conversion scheme from binary number to its MTN form. Optical switch using nonlinear material （NLM） plays an important role.

关键词： tree All-optical conversion scheme from binary to its MTN form with the help of nonlinear material based tree-net architecture net

All-optical adder/subtractor based on terahertz optical asymmetric demultiplexer

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Chinese Optics Letters 2009年第6期7卷 530-533页

作者： Dilip Kumar Gayen Rajat Kumar Pal jitendra nath roy Department of Computer Science College of Engineering and Management Department of Computer Science and Engineering Calcutta University Department of Physics College of Engineering and ManagementKolaghat KTPP Township

An all-optical adder/subtractor （A/S） unit with the （TOAD） is proposed. The all-optical A/S unit with help of terahertz optical asymmetric demultiplexer a set of all-optical full-adders and optical exclusive- ORs （XORs）, can be used to perform a fast central processor unit using optical hardware components. We try to exploit the advantages of TOAD-based optical switch to design an integrated all-optical circuit which can perform binary addition and subtraction. With computer simulation results confirming the described methods, conclusions are given.

关键词： EDFA XOR All-optical adder/subtractor based on terahertz optical asymmetric demultiplexer mode

Designing of an all-optical time division multiplexing scheme with the help of nonlinear material based tree-net architecture

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Chinese Optics Letters 2006年第8期4卷 483-486页

作者： jitendra nath roy Anup Kumar Maiti Sourangshu Mukhopadhyay College of Engineering & Management Kolaghat KTPP TownshipMidnapur (east) 721171 W.B.India Panskura Banamali College Midnapur W.B.India Department of Physics University of Burdwan GolapbagBurdwanW.B.India

In the field of optical interconnecting network and in super fast photonic computing system, the tree architecture and optical nonlinear materials can play a significant role. Nonlinear optical material may find important uses in optical switching. Optical switch using nonlinear material makes it possible for one optical signal to control and switch another optical signal through nonlinear interaction in a material. In this communication such materials have been successfully exploited to design an all-optical tree-net architecture, which can be utilized for time division multiplexing scheme in all-optical domain.

关键词： tree Designing of an all-optical time division multiplexing scheme with the help of nonlinear material based tree-net architecture time net

All-optical prefix tree adder with the help of terahertz optical asymmetric demultiplexer

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Chinese Optics Letters 2011年第6期9卷 82-86页

作者： Dilip Kumar Gayen Tanay Chattopadhyay Rajat Kumar Pal jitendra nath roy Department of Computer Science College of Engineering and Management Kolaghat KTPP Township Mechanical Operation (Stage-II) Kolaghat Thermal Power Station WBPDCL Mecheda Purba Medinipur KTPP Sub Post Office Department of Computer Science and Engineering Calcutta University Department of Physics NIT Agartala

We propose and describe an all-optical prefix tree adder with the help of a terahertz optical asymmetric demultiplexer （TOAD） using a set of optical switches. The prefix tree adder is useful in compound adder implementation. It is preferred over the ripple carry adder and the carry lookahead adder. We also describe the principle and possibilities of the all-optical prefix tree adder. The theoretical model is presented and verified through numerical simulation. The new method promises higher processing speed and accuracy. The model can be extended for studying more complex all-optical circuits of enhanced functionality in which the prefix tree adder is the basic building block.

关键词： tree All-optical prefix tree adder with the help of terahertz optical asymmetric demultiplexer XOR SOA

Terahertz optical asymmetric demultiplexer based tree-net architecture for all-optical conversion scheme from binary to its other 2^n radix based form

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Chinese Optics Letters 2008年第7期6卷 536-540页

作者： jitendra nath roy Goutam Kumar Maity Dilip Kumar Gayen Tanay Chattopadhyay Department of Physics College of Engineering and ManagementKolaghat Calcutta Institute of Technology UluberiaHowrahW.B.India Department of Computer Science College of Engineering and ManagementKolaghat KTPP Township.Midnapur (East).721171W.B.India Mechanical Operation (Stage-Ⅱ) Kolaghat Thermal Power StationWBPDCLIndia

To exploit the parallelism of optics in data processing, a suitable number system and an efficient encoding/decoding scheme for handling the data are very essential. In the field of optical computing and parallel information processing, several number systems like binary, quaternary, octal, hexadecimal, etc. have been used for different arithmetic and algebraic operations. Here, we have proposed an all-optical conversion scheme from its binary to its other 2^n radix based form with the help of terahertz optical asymmetric demultiplexer （TOAD） based tree-net architecture.

关键词： tree Terahertz optical asymmetric demultiplexer based tree-net architecture for all-optical conversion scheme from binary to its other 2~n radix based form net

Artificial Intelligence for Maximizing Agricultural Input Use Efficiency: Exploring Nutrient, Water and Weed Management Strategies

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Phyton-International Journal of Experimental Botany 2024年第7期93卷 1569-1598页

作者： Sumit Sow Shivani Ranjan Mahmoud F.Seleiman Hiba M.Alkharabsheh Mukesh Kumar Navnit Kumar Smruti Ranjan Padhan Dhirendra Kumar roy Dibyajyoti nath Harun Gitari Daniel O.Wasonga Department of Agronomy Dr.Rajendra Prasad Central Agricultural UniversityPusaSamastipurBihar848125India Department of Plant Production College of Food and Agriculture SciencesKing Saud UniversityRiyadh11451Saudi Arabia Department of Crop Sciences Faculty of AgricultureMenoufia UniversityShibin El-Kom32514Egypt Department of Water Resources and Environmental Management Faculty of Agricultural TechnologyAl Balqa Applied UniversitySalt19117Jordan Division of Agronomy ICAR-Indian Agricultural Research InstitutePusa CampusNew Delhi110012India Department of Soil Science Dr.Rajendra Prasad Central Agricultural UniversityPusaSamastipurBihar848125India Department of Agricultural Science and Technology School of Agriculture and Environmental SciencesKenyatta UniversityNairobi43844Kenya Department of Crop Sciences University of Illinois Urbana-ChampaignUrbanaIL 61801USA

Agriculture plays a crucial role in the economy,and there is an increasing global emphasis on automating agri-cultural *** the tremendous increase in population,the demand for food and employment has also increased signiﬁ*** methods traditionally used to meet these requirements are no longer ade-quate,requiring solutions to issues such as excessive herbicide use and the use of chemical *** of technologies such as the Internet of Things,wireless communication,machine learning,artiﬁcial intelligence(AI),and deep learning shows promise in addressing these ***,there is a lack of comprehensive documentation on the application and potential of AI in improving agricultural input efﬁ*** address this gap,a desk research approach was used by utilizing peer-reviewed electronic databases like PubMed,Scopus,Goo-gle Scholar,Web of Science,and Science Direct for relevant *** of 327 initially identiﬁed articles,180 were deemed pertinent,focusing primarily on AI’s potential in enhancing yield through better management of nutrients,water,and *** into account researchﬁndings worldwide,we found that AI technologies could assist farmers by providing recommendations on the optimal nutrients to enhance soil quality and deter-mine the best time for irrigation or herbicide *** present status of AI-driven automation in agricul-ture holds signiﬁcant promise for optimizing agricultural input utilization and reducing resource waste,particularly in the context of three pillars of crop management,i.e.,nutrient,irrigation,and weed management.

关键词： Agriculture artiﬁcial intelligence crop management nutrient irrigation weed management resource use efﬁciency

Exploring the merits of geographical diversification of solar PV power plants for a resilient PV-dominated electricity grid in India

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Clean Energy 2023年第4期7卷 885-910页

作者： Saikat Ghosh Jatindra nath roy Chandan Chakraborty Advanced Technology Development Centre Indian Institute of Technology Kharagpur721302India Department of Electrical Engineering Indian Institute of Technology Kharagpur721302India

India is highly dependent on solar photovoltaics(PV)to harness its vast solar resource potential and combat climate ***,∼90%of the installed PV capacity in India is concentrated in the top nine states,with the remaining states lagging *** research reveals that during monsoons,heavy cloud cover and rain lead to high solar resource variability,intermittency and the risk of very low PV generation,which can result in reliability issues in future PV-dominated electricity *** energy storage can help in overcoming high intermittency,there are multiple challenges associated with *** novelty of this study lies in demonstrating the benefits of combining multiple PV sites in various regions to mitigate the risks of low PV generation and high *** variability of individual sites was found to be up to∼3.5 times higher than the variability of combined *** noon,prominent solar park sites like Bhadla and NP Kunta experience a decrease in power generation to values as low as∼10%of the rated PV ***,the minimum generation of the large-scale dispersed PV generation is>30%.Furthermore,the research identifies other benefits of dispersing PV generation across the country,viz.,reduction of seasonal variability by adding PV capacity in the southern region,widening of the PV generation span,more room for PV capacity addition,reduction in storage and ramping needs,utilization of hydroelectric potential of the north-east and PV potential of Ladakh,and creating opportunities for sustainable development in rural agrarian regions through agrivoltaics.

关键词： decarbonization PV-based resilient grid PV variability and intermittency solar PV power plants

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

Influence of alumina/MWCNT hybrid nanoparticle additives on tribological properties of lubricants in turning operations

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Friction 2019年第2期7卷 153-168页

作者： Anuj Kumar SHARMA jitendra Kumar KATIYAR Shubrajit BHAUMIK Sandipan roy Tribology and Surface Interaction Research Lab Department of Mechanical EngineeringSRM Institute of Science and Technology Kattankulathur

A hybrid lubricant with improved thermal and tribological properties was developed by blending multiwalled carbon nanotubes(MWCNTs) with alumina-based nanoparticles into cutting fluid at fixed volumetric proportions(10:90). The hybrid cutting fluid was prepared in different volumetric concentrations(0.25, 0.75, and 1.25 vol%), and the tribological properties and contact angles were measured using pin-on-disc tribometry and goniometry, respectively. The study showed a reduction in wear and friction coefficient with increasing nanoparticle concentration. The cutting fluid performance was investigated using minimum quantity lubrication(MQL) in the turning of AISI 304 stainless steel. Regression models were developed for measuring the temperature and tool flank wear in terms of cutting speed, feed, depth of the cut, and nanoparticle concentration using response surface methodology. The developed hybrid nanolubricants significantly reduced the tool flank wear and nodal temperature by 11% and 27.36%, respectively, as compared to alumina-based lubricants.

关键词： hybrids nanolubricants MQL MWCNT tool wear friction coefficient

Analysis of thermal injuries using classical Fourier and DPL models for multi-layer of skin under different boundary conditions

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International Journal of Biomathematics 2021年第6期14卷 85-114页

作者： Rajneesh Kumar Chaudhary Dinesh Kumar Kabindra nath Rai jitendra Singh Department of Mathematics Institute of Science Banaras Hindu UniversityVaranasi-221005India Department of Mathematics Govt.Polytechnic College Nawada-805122BiharIndia Department of Mathematical Sciences IIT-BHU Varanasi-221005India

In this paper,the temperature distribution in the multi-layer of the skin is studied when the skin surface is subjected to most generalized boundary *** skin model consists of three layers known as the epidermis,dermis,and subcutaneous *** layers of skin are assumed to be connected with point of interface condition and taking the barrier in between each of the two layers by symmetric flux condition and analyzing each layer *** classical Fourier and non-Fourier(DPL)models are extended to analyze the behavior of heat transfer in the multi-layer of the *** Laplace transform technique is used to derive analytical solutions for the multi-layer of skin *** effects of the variability of different parameters such as relaxation time,layer thickness,and different types of boundary conditions on the behavior of temperature distribution in the multi-layer of skin are analyzed and discussed in *** the effects are shown *** has been observed that during temperature distribution in the multi-layer of skin,the measurement of skin damage is less on the DPL model(rq>Tt)in comparison to the classical Fourier model.

关键词： Skin of multi-layer generalized boundary condition dual-phase lagging burn effect relaxation time Laplace transform technique