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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

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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

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Electrochemical sensor for dopamine detection based on multiwalled carbon nanotube/molybdenum disulfide quantum dots with machine learning integration and anti-interference capability

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Tungsten 2025年第1期7卷 137-151页

作者： Geethukrishnan Onkar Apte Kiran kumar Tadi Energy Electrodics and Electrocatalysis (EEE) Lab Department of Chemistry School of Advanced Sciences Vellore Institute of Technology School of Computer Science and Engineering Vellore Institute of Technology

The precise detection and measurement of dopamine（DA）,a crucial neurotransmitter in the human body,plays a significant role in diagnosing,preventing,and treating neurological diseases associated with its levels.A highly sensitive DA electrochemical sensor was constructed by combining molybdenum disulfide quantum dots（MSQDs） with multiwalled carbon nanotubes（MWCNTs）.The MSQDs were synthesized using the shear exfoliation *** sensors consist of MSQDs with Mo-S edge catalytic centers for the DA redox reaction,and MWCNTs amplify the sensor *** linearity of the sensor for the detection of DA was tested in the presence of ascorbic acid(AA,50 μmol·L-1) and uric acid(UA,200 μmol·L-1),and exhibited linearity from 2 to 966 μmol·L-1of DA with 0.097 μA(mol·L-1)-1sensitivity and a low limit of detection of0.6 μmol·L-1（the ratio between signal and noise,S/N=3）.Moreover,the sensitivity and selectivity of the sensor were also studied using *** is no increase in amperometric current after adding the most potentially interfering *** sensor was successfully applied to recover DA in human blood sera ***,machine learning algorithms were operated to aid in the near-precise detection of DA in the heterogeneous mixture containing AA and *** algorithms facilitate the identification and quantification of DA amidst coexisting interferents,including AA,that are commonly present in biological matrices.

关键词： Biosensor Complex mixture Dopamine Machine learning MoS2 Multiwalled carbon nanotubes

Translocator protein and neurodegeneration: insights from Alzheimer’s disease

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Neural Regeneration Research 2025年第4期20卷 1090-1091页

作者： Arpit kumar Pradhan Rainer Rupprecht Gerhard Rammes Klinik für Anaesthesiologie und Intensivmedizin der Technischen Universität München Klinikum rechts der IsarMunichGermany Graduate School of Systemic Neurosciences Ludwig-Maximilians-Universität MünchenMartinsriedGermany Department of Psychiatry and Psychotherapy University RegensburgRegensburgGermany

The 18 kDa translocator protein(TSPO)located on the outer mitochondrial membrane regulates several key cellular processes including mitochondrial homeostasis,cholesterol transport,apoptosis,cell proliferation,and maintenance of mitochondrial health(Rupprecht et al.,2022,2023).TSPO is expressed in both peripheral organs and the central nervous system,with a more pronounced expression in tissues that produce *** main reason why TSPO has garnered so much attention is because it plays a key role in neurosteroidogenesis by transferring cholesterol from the outer to the inner mitochondrial membrane,which is the rate-limiting step in neurosteroid synthesis.A cholesterol-recognizing amino acid consensus domain has been identified in the cytosolic C terminus of the TSPO protein by both in vitro and site-directed mutagenesis experiments(Li et al.,2001).However,the role of TSPO in the process of neurosteroid synthesis has been challenged by several studies,particularly TSPO knockout models,which suggest that TSPO removal does not affect the phenotype or the system’s viability(Tu et al.,2014).However,ligands targeting TSPO have been shown to enhance levels of neurosteroids which suggests that neurosteroidogenesis is one of the major functional roles mediated by the TSPO protein.

关键词： cholesterol organs

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Bi-level Programming for Stackelberg Game with Intuitionistic Fuzzy Number: a Ranking Approach

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Journal of the Operations Research Society of China 2021年第1期9卷 131-149页

作者： Sumit kumar maiti Sankar kumar Roy School of Applied Sciences and Humanities Haldia Institute of TechnologyPurba MidnaporeWB 721657India Department of Applied Mathematics with Oceanology and Computer ProgrammingVidyasagar UniversityMidnaporeWB 721102India

This paper introduces a ranking function procedure on a bi-level programming for Stackelberg game involving intuitionistic fuzzy *** fuzzy num-ber is considered in many real-life situations,so it makes perfect sense to address decision-making problem by using some specified intuitionistic fuzzy *** this paper,intuitionistic fuzziness is characterized by a normal generalized triangular intuitionistic fuzzy number.A defuzzification method is introduced based on the pro-portional probability density function associated with the corresponding membership function,as well as the complement of non-membership *** the proposed ranking technique,a methodology is presented for solving bi-level programming for Stackelberg *** application example is provided to demonstrate the applica-bility of the proposed methodology,and the achieved results are compared with the existing methods.

关键词： Bi-levelprogramming Triangular intuitionistic fuzz ynumber Ranking function Nonlinear programming Optimal solution

Multi-item fuzzy inventory model for deteriorating items in multi-outlet under single management

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Journal of Management Analytics 2020年第1期7卷 44-68页

作者： Ajoy kumar maiti Department of Mathematics Raja Narendra Lal Khan Women’s CollegePaschim MedinipurIndia

Multi-item inventory model with stock-dependent demand is developed in fuzzy *** are deteriorated in constant rate and are sold from different outlets in the city under single *** to the impreciseness of different parameters,objectives as well as constraints are imprecise in *** optimization of fuzzy objectives as well as fuzzy constraints are not well defined,the model is formulated as a multi-objective chance constrained programming problem where optimistic/pessimistic return of the objectives with some degree of possibility/necessity are optimized and constraints are satisfied with some degree of *** model is solved via Multi-Objective Genetic Algorithm(MOGA)when crisp equivalent of the problem is *** other cases,fuzzy simulation process is proposed to check the constraints as well as to determine the optimistic/pessimistic return of the *** model is illustrated with some numerical examples.

关键词： possibility necessity fuzzy simulation MOGA inventory

Cloudy fuzzy inventory model under imperfect production process with demand dependent production rate

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Journal of Management Analytics 2021年第4期8卷 741-763页

作者： Ajoy kumar maiti Department of Mathematics(UG&PG) Raja Narendra Lal Khan Women’s College(Autonomous)Gope PalacePaschim MedinipurIndia

The aim of this article is an effort to initiate the cloudy fuzzy number in developing classical economic production lot-size model of an item produced in scrappy production process with fixed ordering cost and without ***,the market value of an item is cloudy fuzzy number and the production rate is demand *** general,fuzziness of any parameter remains fixed over time,but in practice,fuzziness of parameter begins to reduce as time progresses because of collected experience and knowledge that motivates to take cloudy fuzzy *** model is solved in a crisp,general fuzzy and cloudy fuzzy environment using Yager’s index method and De and Beg’s ranking index method and comparisons are made for all cases and better results obtained in the cloudy fuzzy *** model is solved by dominance based Particle Swarm Optimization algorithm to obtain optimal decision and numerical examples and sensitivity analyses are presented to justify the notion.

关键词： EPL reliability De and Beg’s ranking index method cloudy fuzzy number Dominance Based Particle Swarm Optimization(DBPSO)

A Novel Triple-tied-cross-linked PV Array Configuration with Reduced Number of Cross-ties to Extract Maximum Power Under Partial Shading Conditions

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CSEE Journal of Power and Energy Systems 2021年第3期7卷 567-581页

作者： Tejavathu Ramesh Kandipati Rajani anup kumar Panda Department of Electrical Engineering National Institute of Technology RourkelaIndia Department of Electrical and Electronics Engineering National Institute of Technology Andhra PradeshIndia

Partial shadings cause output power reduction from Photovoltaic(PV)arrays due to mismatch *** selection of PV array configurations play a vital role in maximum power *** paper proposes a novel Triple-Tied-Cross-Linked(T-T-C-L)configuration to extract maximum power with a lesser number of cross ties than a Total-Cross-Tied(T-C-T)*** performance of the proposed T-T-C-L configuration has been compared with various conventional PV array configurations,such as Series(S),Parallel(P),Series-Parallel(S-P),Bridge-Link(B-L),Honey-Comb(H-C),and T-C-T under Partial Shading Conditions(PSCs)by considering the 9×9 PV *** PSCs considered are uneven row,column,diagonal,random,short&narrow,short&wide,long&narrow,long&wide shadings and uniform half module *** measures,such as open circuit voltage,short circuit current,maximum power,voltages and currents at maximum power,mismatch losses,fill factor and efficiency have been used for performance analysis of various *** the results,it can be concluded that the performance of the proposed T-T-C-L configuration is optimal compared to other configurations.

关键词： Efficiency fill factor maximum power point mismatch losses partial shading conditions PV array configurations triple-tied-cross-linked

Estimation of carbon sequestration in reclaimed coalmine degraded land dominated by Albizia lebbeck, Dalbergia sissoo and Bambusa arundinacea plantation： a case study from Jharia Coalfields, India

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International Journal of Coal Science & Technology 2016年第2期3卷 246-266页

作者： Rimi Das Subodh kumar maiti Ecological Restoration Laboratory Department of Environmental Science and Engineering (Centre of Mining Environment) Indian School of Mines Dhanbad Jharkhand 826 004 India

Reclaimed mined lands provide an excellent opportunity to sequester carbon and combat global warming. Carbon sequestration on reclaimed sites depend on age of reclamation, composition of species, geomining conditions （soil characteristics） and prevailing climate. The aims of the present study were to calculate carbon （C）--stock of biomass of 4 years old plantation （dominated by Albizia lebbeck, Dalbergia sissoo and Bambusa arundinacea）, understorey vegetation and litter, soil organic carbon in reclaimed minesoil （RMS） and compare with reference forest site. Allometric equation was used for the estimation of biomass C stock and found 13.0 Mg C ha i （A lebbeck 7.8 Mg C ha-I, D sissoo 3.5 Mg C ha-l and B. arundincea 1.2 Mg C ha-l）, while stock of understorey vegetation was 0.98 Mg C ha-~. In RMS, C stock was 16.3 Mg C ha-1, out of which inorganic C contributed 1.7 g kg-l （8 % of total soil C）, Coal C 8.7 g kg^-1 （43 % of total soil C） and biogenic C 9.8 g kg^-1 （49 % of total soil C）. Total C stock in reclaimed site was calculated as 30.3 Mg C ha^-1（equivalent to 111 Mg CO2 ha-b. The study concluded that （i） coal C is responsible for overestimation of C stock in RMS （ii） Maximun C stock stored in aboveground biomass component and （iii） reclaimed mined lands will take approximately 17 years to reach the level of C stock of reference forest site in dry tropical climate.

关键词： Coal Opencast mining Reclaimed mine soils Biomass carbon Carbon sequestration Carbon stock

Congruent Feature Selection Method to Improve the Efficacy of Machine Learning-Based Classification in Medical Image Processing

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Computer Modeling in Engineering & Sciences 2025年第1期142卷 357-384页

作者： Mohd Anjum Naoufel Kraiem Hong Min Ashit kumar Dutta Yousef Ibrahim Daradkeh Department of Computer Engineering Aligarh Muslim UniversityAligarh202002India College of Computer Science King Khalid UniversityAbha61413Saudi Arabia School of Computing Gachon UniversitySeongnam13120Republic of Korea Department of Computer Science and Information Systems College of Applied SciencesAlMaarefa UniversityRiyadh13713Saudi Arabia Department of Computer Engineering and Information College of Engineering in Wadi AlddawasirPrince Sattam bin Abdulaziz UniversityAl-Kharj16273Saudi Arabia

Machine learning(ML)is increasingly applied for medical image processing with appropriate learning *** applications include analyzing images of various organs,such as the brain,lung,eye,etc.,to identify specific flaws/diseases for *** primary concern of ML applications is the precise selection of flexible image features for pattern detection and region *** of the extracted image features are irrelevant and lead to an increase in computation ***,this article uses an analytical learning paradigm to design a Congruent Feature Selection Method to select the most relevant image *** process trains the learning paradigm using similarity and correlation-based features over different textural intensities and pixel *** similarity between the pixels over the various distribution patterns with high indexes is recommended for disease ***,the correlation based on intensity and distribution is analyzed to improve the feature selection ***,the more congruent pixels are sorted in the descending order of the selection,which identifies better regions than the ***,the learning paradigm is trained using intensity and region-based similarity to maximize the chances of ***,the probability of feature selection,regardless of the textures and medical image patterns,is *** process enhances the performance of ML applications for different medical image *** proposed method improves the accuracy,precision,and training rate by 13.19%,10.69%,and 11.06%,respectively,compared to other models for the selected *** mean error and selection time is also reduced by 12.56%and 13.56%,respectively,compared to the same models and dataset.

关键词： Computer vision feature selection machine learning region detection texture analysis image classification medical images