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***: 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

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

Hybrid Cuckoo Search Algorithm for Scheduling in Cloud Computing

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Computers, Materials & Continua 2022年第4期71卷 1641-1660页

作者： manoj kumar Suman CSE Department DCR University of Science and TechnologyMurthal131039SonepatIndia

Cloud computing has gained widespread popularity over the last decade.Scheduling problem in cloud computing is prejudiced due to enormous demands of cloud users.Meta-heuristic techniques in cloud computing have exhibited high performance in comparison to traditional scheduling algorithms.This paper presents a novel hybrid Nesterov Accelerated Gradient-based Cuckoo Search Algorithm(NAGCSA)to address the scheduling issue in cloud computing.Nesterov Accelerated Gradient can address trapping at local minima in CSA by updating the position using future approximation.The local search in the proposed algorithm is performed by using Nesterov Accelerated Gradient,while the global search is performed by using levy flights.The amalgamation of NAG and CSA helps in cost reduction and time-saving for users.The simulation has been carried out on the CloudSim tool on three different real datasets;NASA,HPC2N,and SDSC.The results of the proposed hybrid algorithm have been compared with state-of-art scheduling algorithms(GA,PSO,and CSA),and statistical significance is carried on mean,standard deviation,and best for each algorithm.It has been established that the proposed algorithm minimizes the execution cost and makespan,hence enhancing the quality of service for users.

关键词： Cloud computing scheduling quality of service cuckoo search cost makespan

Ulam-Hyers stability and analytical approach for m-dimensional Caputo space-time variable fractional order advection-dispersion equation

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International Journal of Modeling, Simulation, and Scientific Computing 2022年第1期13卷 131-174页

作者： Pratibha Verma manoj kumar Anand Shukla Department of Mathematics Motilal Nehru National Institute of Technology Allahabad Prayagraj–211004 Uttar PradeshIndia†Department of Mathematics Wollega UniversityNekemteEthiopia

This article introduces the computational analytical approach to solve the m-dimensional space-time variable Caputo fractional order advection–dispersion equation with the Dirichlet boundary using the two-step Adomian decomposition method and obtain the exact solution in just one iteration.Moreover,with the help of fixed point theory,we study the existence and uniqueness conditions for the positive solution and prove some new results.Also,obtain the Ulam–Hyers stabilities for the proposed problem.Two gen-eralized examples are considered to show the method’s applicability and compared with other existing numerical methods.The present method performs exceptionally well in terms of efficiency and simplicity.Further,we solved both examples using the two most well-known numerical methods and compared them with the TSADM solution.

关键词： Fixed point theorems space-time variable Caputo’s fractional operators advection-dispersion equation Ulam-Hyers stability two-step Adomian decomposition method

Phenazine-based supramolecular photosensitizing assemblies:A“smart”selectivity control on catalytic activity of Pd(Ⅱ)nanoparticles

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聚集体(英文)

聚集体(英文) 2023年第1期4卷 173-183页

作者： Aditya Singh manoj kumar Vandana Bhalla Department of Chemistry UGC Sponsored-Centre of Advance Studies-ⅡGuru Nanak Dev UniversityAmritsarPunjabIndia

Photosensitizing supramolecular assemblies based on a phenazine derivative(PPA)have been developed,which show a strong affinity toward Pd2+ions to generate supramolecular ensemble PPA@Pd nanoparticles(NPs).The PPA@Pd NPs catalyse the Suzuki cross-coupled reaction under mild conditions(aerial conditions,mixed aqueous media,and visible light radiations).Although PPA@Pd NPs exhibit a strong affinity for arylboronic acid and could catalyse homocoupling of arylboronic acid,the preference of PPA assemblies for aryl halide directed the course of reactions toward the formation of cross-coupled products.The electron-rich PPA assemblies not only facilitate the oxidative addition step through photoinduced electron transfer to Pd^(2+)ions but also bring the reactants closer to the catalytic sites by selective interactions with aryl halides in the presence of arylboronic acid under visible light irradiation.The efficiency of PPA@Pd NPs to catalyse the Suzuki crosscoupled reaction has been demonstrated for the synthesis of unsymmetrically substituted terphenyl derivatives.

关键词： ensemble homocoupling phenazine photosensitizing supramolecular assemblies Suzuki cross-coupled

Preventable iatrogenic cause of foot-drop in knee injuries with literature review

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Chinese Journal of Traumatology 2022年第4期25卷 224-231页

作者： Anant Krishna Sumit Arora Rakesh Goyal Manish kumar Nirup Naik manoj kumar Department of Orthopaedics All India Institute of Medical SciencesAnsari NagarNew Delhi110029India Department of Orthopaedic Surgery Maulana Azad Medical College&Associated Lok Nayak HospitalNew Delhi110002India

Purpose Common peroneal nerve palsy is quite disabling and every effort should be made to prevent its injury during the treatment.Methods We retrospectively reviewed the prospectively collected data of 7 cases of tibial plateau fractures in association with proximal fibula fracture from January 2019 to September 2019 who presented to emergency room of our hospital.Results In addition to fibular neck fracture,the first case had type 6 tibial plateau displaced fracture and the second case had displaced acetabular fracture with instability of knee with tibial tuberosity avulsion.common peroneal nerve palsy developed following application of distal tibial skeletal traction in both the cases.Other 6 such cases remained neurologically intact as traction was not applied to them.Conclusion Such iatrogenic complication could have been prevented if the injury pattern of"concomitant medial and lateral columns"of the proximal leg is kept in mind by the treating surgeon before applying skeletal traction.

关键词： Common peroneal neuropathies Tibial plateau fractures Proximal fibula fractures Traction palsy

Real-time Privacy Preserving Framework for Covid-19 Contact Tracing

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Computers, Materials & Continua 2022年第1期70卷 1017-1032页

作者： Akashdeep Bhardwaj Ahmed A.Mohamed manoj kumar Mohammed Alshehri Ahed Abugabah School of Computer Science University of Petroleum&Energy Studies(UPES)Dehradun248007India Department of Computer Science College of Computer and Information SciencesMajmaah UniversityMajmaah11952Saudi Arabia Department of Information Technology Faculty of Computer and InformationAssiut UniversityAssiut71515Egypt Department of Information Technology College of Computer and Information SciencesMajmaah UniversityMajmaah11952Saudi Arabia Department of Information System College of Technological InnovationZayed UniversityAbu DhabiUnited Arab Emirates

The recent unprecedented threat from COVID-19 and past epidemics,such as SARS,AIDS,and Ebola,has affected millions of people in multiple countries.Countries have shut their borders,and their nationals have been advised to self-quarantine.The variety of responses to the pandemic has given rise to data privacy concerns.Infection prevention and control strategies as well as disease control measures,especially real-time contact tracing for COVID-19,require the identification of people exposed to COVID-19.Such tracing frameworks use mobile apps and geolocations to trace individuals.However,while the motive may be well intended,the limitations and security issues associated with using such a technology are a serious cause of concern.There are growing concerns regarding the privacy of an individual’s location and personal identifiable information(PII)being shared with governments and/or health agencies.This study presents a real-time,trust-based contact-tracing framework that operateswithout the use of an individual’sPII,location sensing,or gathering GPS logs.The focus of the proposed contact tracing framework is to ensure real-time privacy using the Bluetooth range of individuals to determine others within the range.The research validates the trust-based framework using Bluetooth as practical and privacy-aware.Using our proposed methodology,personal information,health logs,and location data will be secure and not abused.This research analyzes 100,000 tracing dataset records from 150 mobile devices to identify infected users and active users.

关键词： Privacy contact tracing mobile apps Bluetooth Covid epidemic

Signal Conducting System with Effective Optimization Using Deep Learning for Schizophrenia Classification

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Computer Systems Science & Engineering 2023年第5期45卷 1869-1886页

作者： V.Divya S.Sendil kumar V.Gokula Krishnan manoj kumar School of Electrical and Electronics Engineering Sathyabama Institute of Science and TechnologyChennaiTamilnaduIndia Department of Electrical and Electronics Engineering S A Engineering CollegeChennaiTamilnaduIndia Department of Computer Science and Information Technology CVR College of EngineeringMangalpallyHyderabadTelanganaIndia School of Computer Science University of Petroleum and Energy StudiesDehradunIndia

Signal processing based research was adopted with Electroencephalogram(EEG)for predicting the abnormality and cerebral activities.The proposed research work is intended to provide an automatic diagnostic system to determine the EEG signal in order to classify the brain function which shows whether a person is affected with schizophrenia or not.Early detection and intervention are vital for better prognosis.However,the diagnosis of schizophrenia still depends on clinical observation to date.Without reliable biomarkers,schizophrenia is difficult to detect in its early phase and hence we have proposed this idea.In this work,the EEG signal series are divided into non-linear feature mining,classification and validation,and t-test integrated feature selection process.For this work,19-channel EEG signals are utilized from schizophrenia class and normal pattern.Here,the datasets initially execute the splitting process based on raw 19-channel EEG into 6250 sample point’s sequences.With this process,1142 features of normal and schizophrenia class patterns can be obtained.In other hand,157 features from each EEG patterns are utilized based on Non-linear feature extraction process where 14 principal features can be identified in terms of considering the essential features.At last,the Deep Learning(DL)technique incorporated with an effective optimization technique is adopted for classification process called a Deep Convolutional Neural Network(DCNN)with mayfly optimization algorithm.The proposed technique is implemented into the platform of MATLAB in order to obtain better results and is analyzed based on the performance analysis framework such as accuracy,Signal to Noise Ratio(SNR),Mean Square Error,Normalized Mean Square Error(NMSE)and Loss.Through comparison,the proposed technique is proved to a better technique than other existing techniques.

关键词： Deep learning optimization algorithm signal conducting system schizophrenia convolutional neural network mayfly optimization algorithm

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扭带式换热器水热关联的机器学习辅助建模

Acta Mechanica Sinica 2023年第1期39卷 148-157页

作者： Jyoti Prakash Panda Bipin kumar Anil kumar Patil manoj kumar Ravi kumar Department of Mechanical Engineering DIT UniversityDehradunUttarakhandIndia

本文介绍了机器学习(ML)算法在带扭带插件的换热器传热关联(如努塞尔数和摩擦系数)建模中的应用.采用换热器在不同雷诺数(Re)、扭转比(t)、穿孔率(p)和不同扭带数(n)下的实验数据进行相关建模.在数据驱动的代理建模中使用了三种机器学... 详细信息

本文介绍了机器学习(ML)算法在带扭带插件的换热器传热关联(如努塞尔数和摩擦系数)建模中的应用.采用换热器在不同雷诺数(Re)、扭转比(t)、穿孔率(p)和不同扭带数(n)下的实验数据进行相关建模.在数据驱动的代理建模中使用了三种机器学习算法:多项式回归(PR)、随机森林(RF)和人工神经网络(ANN).为了保证模型的通用性,对ML模型的超参数进行了优化,分析了不同ML算法的性能参数(如R 2和MAE).结果表明,在不同的测试数据集上,人工神经网络对传热系数的预测优于PR和RF的预测.基于本文分析内容,对未来数据驱动的传热关联建模工作和类似研究提出了建议.

关键词：机器学习数据驱动测试数据集辅助建模多项式回归超参数穿孔率