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Protection and Control of Modern Power Systems 2022年第1期7卷 490-507页

作者： Neelesh kumar Gupta manoj kumar kar Arun kumar Singh Department of Electrical Engineering NIT JamshedpurJamshedpurJharkhand 831014India

This paper proposes an improved sine-cosine algorithm(ISCA)based 2-DOF-PID controller for load frequency control.A three-area test system is built for study,while some physical constraints(nonlinearities)are considered for the investigation of a realistic power *** proposed method is used as the parameter optimizer of the LFC control-ler in different *** 2-DOF-PID controllers are used because of their capability of fast disturbance rejection without significant increase of overshoot in set-point *** 2-DOF-PID controllers’efficacy is observed by examining the responses with the outcomes obtained with PID and FOPID *** simulation results with the suggested scheme are correlated with some of the existing algorithms,such as SCA,SSA,ALO,and PSO in three dif-ferent scenarios,i.e.,a disturbance in two areas,in three areas,and in the presence of physical *** addition,the study is extended to a four-area power *** analysis is performed using the Wilcoxon Sign Rank Test(WSRT)on 20 independent *** confirms the supremacy of the proposed method.

关键词： 2-DOF-PID FOPID Load frequency control WSRT Statistical analysis Improved sine-cosine algorithm

Application of Response Surface Methodology for Analysing and Optimizing the Finned Solar Air Heater

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Journal of Thermal Science 2024年第3期33卷 985-1009页

作者： Vineet SINGH Vinod Singh YADAV Vaibhav TRIVEDI manoj kumar Niraj kumar Department of Mechanical Engineering School of Engineering&TechnologyIFTM UniversityMoradabadUttar PradeshIndia Department of Mechanical Engineering NITUttarakhandPauriUttarakhandIndia Department of Electronics and Communication Engineering Jaypee Institute of Information TechnologyNoidaUttar Pradesh201309India

In this research paper,a solar air heater with triangular fins has been experimentally analysed and ***,an experimental set-up of a solar air heater having triangular fins has been developed at the location of 28.10°N,78.23°*** heat transfer rate through fins and fins efficiency has been determined by the Finite Difference Method model *** experimental data and modeled data of response parameters have been optimized in MINITAB-17 software by the Response Surface Methodology *** creating the response surface design,three input parameters have been selected namely solar intensity,Reynolds number,and fin base-to-height *** range of solar intensity,Reynolds number,and fin base-to-height ratio is 600 to 1000W/m^(2),4000 to 6000,and 0.4 to 0.8 *** response surface design has been analyzed by calculating the outlet temperature,friction factor,Nusselt number,fin efficiency,thermal performance factor,and exergy *** optimum settings of input parameters:solar intensity is 1000 W/m^(2);Reynolds number is 4969.7,and the fin base to height ratio is 0.6060,on which these response:namely outlet temperature of 92.531℃,friction factor of 0.2350,Nusselt number of 127.761,thermal efficiency of 50.836%,thermal performance factor of 1.4947,and exergy efficiency of 8.762%.

关键词： solar air heater optimization fins exergy response surface methodology air

Protected simultaneous quantum remote state preparation scheme by weak and reversal measurements in noisy environments

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Chinese Physics B 2024年第2期33卷 169-177页

作者： Mandal manoj kumar Choudhury Binayak S. Samanta Soumen Department of Mathematics Indian Institute of Engineering Science and TechnologyShibpur B.GardenHowrah 711103West BengalIndia

We discuss a quantum remote state preparation protocol by which two parties, Alice and Candy, prepare a single-qubit and a two-qubit state, respectively, at the site of the receiver Bob. The single-qubit state is known to Alice while the two-qubit state which is a non-maximally entangled Bell state is known to Candy. The three parties are connected through a single entangled state which acts as a quantum channel. We first describe the protocol in the ideal case when the entangled channel under use is in a pure state. After that, we consider the effect of amplitude damping(AD) noise on the quantum channel and describe the protocol executed through the noisy channel. The decrement of the fidelity is shown to occur with the increment in the noise parameter. This is shown by numerical computation in specific examples of the states to be created. Finally, we show that it is possible to maintain the label of fidelity to some extent and hence to decrease the effect of noise by the application of weak and reversal measurements. We also present a scheme for the generation of the five-qubit entangled resource which we require as a quantum channel. The generation scheme is run on the IBMQ platform.

关键词： multi-qubit entangled channel quantum remote state preparation noisy environments weak and reversal measurements

Highly Efficient Back‑End‑of‑Line Compatible Flexible Si‑Based Optical Memristive Crossbar Array for Edge Neuromorphic Physiological Signal Processing and Bionic Machine Vision

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Nano-Micro Letters 2024年第11期16卷 323-339页

作者： Dayanand kumar Hanrui Li Dhananjay D.Kumbhar manoj kumar Rajbhar Uttam kumar Das Abdul Momin Syed Georgian Melinte Nazek El‑Atab Smart Advanced Memory Devices and Applications(SAMA)LaboratoryElectrical and Computer EngineeringComputer Electrical Mathematical Science and EngineeringKing Abdullah University of Science and Technology(KAUST)23955‑6900 ThuwalSaudi Arabia

The emergence of the Internet-of-Things is anticipated to create a vast market for what are known as smart edge devices,opening numerous opportunities across countless domains,including personalized healthcare and advanced *** 3D integration,edge devices can achieve unprecedented miniaturization while simultaneously boosting processing power and minimizing energy ***,we demonstrate a back-end-of-line compatible optoelectronic synapse with a transfer learning method on health care applications,including electroencephalogram(EEG)-based seizure prediction,electromyography(EMG)-based gesture recognition,and electrocardiogram(ECG)-based arrhythmia *** experiments on three biomedical datasets,we observe the classification accuracy improvement for the pretrained model with 2.93%on EEG,4.90%on ECG,and 7.92%on EMG,*** optical programming property of the device enables an ultralow power(2.8×10^(-13) J)fine-tuning process and offers solutions for patient-specific issues in edge computing ***,the device exhibits impressive light-sensitive characteristics that enable a range of light-triggered synaptic functions,making it promising for neuromorphic vision *** display the benefits of these intricate synaptic properties,a 5×5 optoelectronic synapse array is developed,effectively simulating human visual perception and memory *** proposed flexible optoelectronic synapse holds immense potential for advancing the fields of neuromorphic physiological signal processing and artificial visual systems in wearable applications.

关键词： Neuromorphic computing Electrophysiological signal Artificial vision system Image recognition Memristor

Improved reservoir characterization by means of supervised machine learning and model-based seismic impedance inversion in the Penobscot field,Scotian Basin

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Energy Geoscience 2024年第2期5卷 183-201页

作者： Satya Narayan Soumyashree Debasis Sahoo Soumitra kar Sanjit kumar Pal Subhra Kangsabanik Oil and Natural Gas Corporation(ONGC)Limited DehradunIndia Department of Applied Geophysics IIT(ISM)DhanbadIndia

The present research work attempted to delineate and characterize the reservoir facies from the Dawson Canyon Formation in the Penobscot field,Scotian *** integrated study of instantaneous frequency,P-impedance,volume of clay and neutron-porosity attributes,and structural framework was done to unravel the Late Cretaceous depositional system and reservoir facies distribution patterns within the study *** strikes were found in the EW and NEE-SWW directions indicating the dominant course of tectonic activities during the Late Cretaceous period in the region.P-impedance was estimated using model-based seismic *** properties such as the neutron porosity(NPHI)and volume of clay(VCL)were estimated using the multilayer perceptron neural network with high ***,a combination of low instantaneous frequency(15-30 Hz),moderate to high impedance(7000-9500 gm/cc*m/s),low neutron porosity(27%-40%)and low volume of clay(40%-60%),suggests fair-to-good sandstone development in the Dawson Canyon *** calibration with the welllog data,it is found that further lowering in these attribute responses signifies the clean sandstone facies possibly containing *** present study suggests that the shale lithofacies dominates the Late Cretaceous deposition(Dawson Canyon Formation)in the Penobscot field,Scotian *** faults and overlying shale facies provide structural and stratigraphic seals and act as a suitable hydrocarbon entrapment mechanism in the Dawson Canyon Formation's *** present research advocates the integrated analysis of multi-attributes estimated using different methods to minimize the risk involved in hydrocarbon exploration.

关键词： Reservoir characterization Model-based inversion Multilayer perceptron(MLP) Impedance Petrophysical properties Scotian Basin

Predicting potential invasion risks of Leucaena leucocephala(Lam.)de Wit in the arid area of Saudi Arabia

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Journal of Arid Land 2024年第7期16卷 983-999页

作者： Haq S MARIFATUL Darwish MOHAMMED Waheed MUHAMMAD kumar manoj Siddiqui H MANZER Bussmann W RAINER Department of Ethnobotany Institute of BotanyIlia State UniversityTbilisi 0162Georgia The Centre of Excellence on Sustainable Land Management(CoE-SLM) Indian Council of Forestry Research and EducationDehradun 248006India Department of Botany and Microbiology College of ScienceKing Saud UniversityRiyadh 11451Saudi Arabia Department of Botany State Museum for Natural HistoryKarlsruhe 76133Germany

The presence of invasive plant species poses a substantial ecological impact,thus comprehensive evaluation of their potential range and risk under the influence of climate change is *** study uses maximum entropy(MaxEnt)modeling to forecast the likelihood of Leucaena leucocephala(Lam.)de Wit invasion in Saudi Arabia under present and future climate change *** the MaxEnt modeling,we integrated climatic and soil data to predict habitat suitability for the invasive *** conducted a detailed analysis of the distribution patterns of the species,using climate variables and ecological *** focused on the important influence of temperature seasonality,temperature annual range,and precipitation *** distribution modeling used robust measures of area under the curve(AUC)and receiver-operator characteristic(ROC)curves,to map the invasion extent,which has a high level of accuracy in identifying appropriate *** complex interaction that influenced the invasion of *** was highlighted by the environmental parameters using Jackknife ***,the actual geographic area where *** was found in Saudi Arabia was considerably smaller than the theoretical maximum range,suggesting that it had the capacity to expand *** MaxEnt model exhibited excellent prediction accuracy and produced reliable results based on the data from the ROC *** and temperature were the primary factors influencing the potential distribution of ***,an estimated area of 216,342 km^(2)in Saudi Arabia was at a high probability of invasion by *** investigated the potential for increased invasion hazards in the future due to climate change scenarios(Shared Socioeconomic Pathways(SSPs)245 and 585).The analysis of key climatic variables,including temperature seasonality and annual range,along with soil properties such as clay composition and nitrogen content,unveiled their substanti

关键词： area under the curve invasive species invasion risks climate change MaxEnt model

Transcranial direct current stimulation as early augmentation in adolescent obsessive compulsive disorder:A pilot proof-of-concept randomized control trial

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World Journal of Clinical Pediatrics 2024年第2期13卷 161-170页

作者： Aditya Agrawal Vivek Agarwal Sujita kumar kar Amit Arya Department of Psychiatry King George Medical UniversityUttar PradeshLucknow 226003India

BACKGROUND Transcranial direct current stimulation(tDCS)is proven to be safe in treating various neurological conditions in children and *** is also an effective method in the treatment of OCD in *** To assess the safety and efficacy of tDCS as an add-on therapy in drug-naive adolescents with *** We studied drug-naïve adolescents with OCD,using a Children’s Yale-Brown obsessive-compulsive scale(CY-BOCS)scale to assess their *** active and sham groups were given fluoxetine,and we applied cathode and anode over the supplementary motor area and deltoid for 20 min in 10 *** occurred at 2,6,and 12 wk using *** Eighteen adolescents completed the study(10-active,8-sham group).CY-BOCS scores from baseline to 12 wk reduced significantly in both groups but change at baseline to 2 wk was significant in the active group *** mean change at 2 wk was more in the active group(11.8±7.77 vs 5.25±2.22,P=0.056).Adverse effects between the groups were *** tDCS is safe and well tolerated for the treatment of OCD in ***,there is a need for further studies with a larger sample population to confirm the effectiveness of tDCS as early augmentation in OCD in this population.

关键词： Adolescents Early augmentation Obsessive compulsive disorder Safety Transcranial direct current stimulation

Identification of galectin-3 as a novel potential prognostic/predictive biomarker and therapeutic target for cerebral cavernous malformation disease

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Genes & Diseases 2024年第1期11卷 67-71页

作者： Souvik kar Andrea Perrelli Kiran kumar Bali Raffaella Mastrocola Arpita kar Bushra Khan Luis Gand Arnab Nayak Christian Hartmann Wolfram SKunz Amir Samii Helmut Bertalanffy Saverio Francesco Retta International Neuroscience Institute Rudolf-PichlmayrStrasse 4Hannover 30625Germany Department of Clinical and Biological Sciences University of TorinoOrbassano(TO)10043Italy CCM Italia Research Network National Coordination Center at the Department of Clinical and Biological SciencesUniversity of TorinoOrbassano(TO)10043Italy Department of Experimental Pain Research Mannheim Center for Translational Neuroscience(MCTN)Medical Faculty MannheimHeidelberg UniversityMannheim 68167Germany Department of Kidney Liver and Metabolic DiseasesChildren’s HospitalHannover Medical SchoolHannover 30625Germany Ricarda-Huch-Street-10B Hannover 30880Germany Institute of Molecular and Cell Physiology Hannover Medical SchoolHannover 30625Germany Department of Neuropathology Institute of PathologyHannover Medical SchoolHannover 30625Germany Institute of Experimental Epileptology and Cognition Research and Department of Epileptology University Hospital BonnVenusberg-Campus 1Bonn 53127Germany epartment of Pharmacology and Physiology University of Rochester Medical CenterRochesterNY 14642USA

cerebrovascular disease of genetic origin characterized by abnormally dilated capillaries and a wide spectrum of symptoms,including headaches,seizures,neurological deficits,and intracerebral *** unpredictable clinical course and the current lack of therapies make the identification of prognostic and predictive biomarkers an imperative research challenge.1 Herein,we provide evidence that galectin-3(Gal-3),a major tissue and circulating biomarker of oxidative stress and inflammation,is significantly up-regulated both in CCM patients and ***,wholetranscriptome sequencing,qRT-PCR,and Western blotting studies demonstrated a significant up-regulation of Gal-3 expression levels both in surgical CCM specimens and in blood samples of CCM patients.

关键词： inflammation cerebral dilated

A Simple Primary Key Algorithm Based Shade Dispersion Method for Maximizing PV Power Generation under Partial Shading Conditions

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Chinese Journal of Electrical Engineering 2024年第2期10卷 93-102页

作者： Prabhakaran Koothu Kesavan A.karthikeyan manoj kumar Sushant Mandal Renewable Energy Laboratory Prince Sultan UniversityRiyadh 11586Saudi Arabia Department of Electrical and Electronics Engineering National Institute of Technology KarnatakaMangalore 575025India

The output power generation of a photovoltaic(PV)array reduces under partial shading,resulting in multiple local maxima in the PV characteristics and inaccurate tracking of the global maximum power point(GMPP).Various interconnection schemes are available to reduce power losses under partial *** this study,a primary key algorithm is proposed for distributing shading across an *** method is suitable for any n×n PV array configuration and involves fewer calculations and variables,leading to reduced computational *** power generations of a 9×9 PV array under four different shading conditions were compared with the configurations of:total cross-tied(TCT)and Su Du Ku,physical relocation and fixed column position of modules with fixed electrical connection(PRFCPM-FEC),and magic square(MS)and improved-odd-even-prime(IOEP).The advantage of the proposed method is that once the primary key elements are obtained,the remaining array elements are numbered in a simpler *** results obtained using the proposed arrangement show that the power is enhanced with reference to the TCT and is comparable to the Su Do Ku,PRFCPM-FEC,MS,and IOEP reconfigurations.

关键词： Photovoltaic(PV)array partial shading global maximum power point(GMPP) power loss primary key

***: SAR Deforestation Classification of Amazon Forest for Land Use Land Cover Application

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Journal of Computer and Communications 2024年第3期12卷 68-83页

作者： Priyanka Darbari Ankush Agarwal manoj kumar Computer Engineering and Application GLA University Mathura India Department of Information Technology GGV Bilaspur India

The process of turning forest area into land is known as deforestation or forest degradation. Reforestation as a fraction of deforestation is extremely low. For improved qualitative and quantitative classification, we used Sentinel-1 dataset of State of Para, Brazil to precisely and closely monitor deforestation between June 2019 and June 2023. This research aimed to find out suitable model for classification called Satellite Imaging analysis by Transpose deep neural transformation network (SIT-net) using mathematical model based on Band math approach to classify deforestation applying transpose deep neural network. The main advantage of proposed model is easy to handle SAR images. The study concludes that SAR satellite gives high-resolution images to improve deforestation monitoring and proposed model takes less computational time compared to other techniques.

关键词： Brazilian Amazon Sentinel-1 Band Math Transpose CNN Transformation Network