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Electron beam evaporated gold doped tungsten oxide nanostructured films for sensor applications

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ChemphysMater 2023年第2期2卷 172-179页

作者： Adilakshmi Griddaluru Sivasankar reddy Akepati Department of physics Vikrama Simhapuri University CollegeAndhra PradeshKavali 524201India

Gas sensors play a vital role in monitoring environmental pollution for human health,safety,and the detection of various gasses in the *** metal oxide thin films have been widely used in sensor applications owing to their unique *** this study,pure and gold(Au)doped nanostructured tungsten trioxide(WO_(3))films were deposited on glass substrates by electron beam evaporation at room *** microstructure of the WO_(3) films changed from nanoflakes to nanorods upon variation of the wt%of *** sensing properties of WO_(3) based nanostructure films were measured using a computer-controlled *** gas sensing results showed that the Au-doped WO_(3) films exhibited a higher sensitivity than the undoped *** 15 wt%Au-doped WO_(3) nanostructure films showed high sensitivity towards ethanol and the response(sensitivity)value was *** response and recovery times for 15 wt%Au-doped WO_(3) were 8 and 10 s,respectively.

关键词： Electron beam evaporation Tungsten oxide Gold Nanostructure Gas sensors

Deep Learned Singular Residual Network for Super Resolution Reconstruction

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Computers, Materials & Continua 2023年第1期74卷 1123-1137页

作者： Gunnam Suryanarayana D.Bhavana p.E.S.N.Krishna prasad M.M.K.Narasimha reddy Md Zia Ur Rahman Department of Electronics and Communications V R Siddhartha Engineering CollegeVijayawada520007India Department of Electronics and Communication Engineering Koneru Lakshmaiah Education FoundationVaddeswaramGuntur522502India Department of CSE Anil Neerukonda Institute of Technology&SciencesSangivalasaVisakhapatnam531162India

Single image super resolution(SISR)techniques produce images of high resolution(HR)as output from input images of low resolution(LR).Motivated by the effectiveness of deep learning methods,we provide a framework based on deep learning to achieve super resolution(SR)by utilizing deep singular-residual neural network(DSRNN)in training *** are obtained from the difference between HR and LR images to generate LR-residual example *** value decomposition(SVD)is applied to each LR-residual image pair to decompose into subbands of low and high frequency ***,DSRNN is trained on these subbands through input and output channels by optimizing the weights and biases of the *** fewer layers in DSRNN,the influence of exploding gradients is *** speeds up the learning process and also improves accuracy by using skip *** trained DSRNN parameters yield residuals to recover the HR subbands in the testing *** analysis shows that the proposed method results in superior performance to existingmethods in terms of subjective *** testing results on popular benchmark datasets such as set5,set14,and urban100 for a scaling factor of 4 show the effectiveness of the proposed method across different qualitative evaluation metrics.

关键词： Deep learning image reconstruction residual network singular values super resolution

The Correlation Coefficient of Hesitancy Fuzzy Graphs in Decision Making

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Computer Systems Science & Engineering 2023年第7期46卷 579-596页

作者： N.Rajagopal reddy S.Sharief Basha School of Advanced Sciences Vellore Institute of TechnologyVellore632014TamilnaduIndia

The hesitancy fuzzy graphs(HFGs),an extension of fuzzy graphs,are useful tools for dealing with ambiguity and uncertainty in issues involving decision-making(DM).This research implements a correlation coefficient measure(CCM)to assess the strength of the association between HFGs in this article since CCMs have a high capacity to process and interpret *** CCM that is proposed between the HFGs has better qualities than the existing *** lowers restrictions on the hesitant fuzzy elements’length and may be used to establish whether the HFGs are connected negatively or ***,a CCMbased attribute DM approach is built into a hesitant fuzzy *** article suggests the use of weighted correlation coefficient measures(WCCMs)using the CCM concept to quantify the correlation between two *** decisionmaking problems of hesitancy fuzzy preference relations(HFpRs)are *** research proposes a new technique for assessing the relative weights of experts based on the uncertainty of HFpRs and the correlation coefficient degree of each *** paper determines the ranking order of all alternatives and the best one by using the CCMs between each option and the ideal *** the meantime,the appropriate example is given to demonstrate the viability of the new strategies.

关键词： Hesitancy fuzzy graph correlation coefficient measures energy hesitancy fuzzy preference relationships decision making

SMO Algorithm to Unravel CEED problem using Wind and Solar

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Intelligent Automation & Soft Computing 2023年第2期35卷 1857-1872页

作者： A.prabha G.Themozhi Rama reddy Sathi Faculty of Electrical Engineering Anna UniversityChennai600025India Department of Electrical and Electronics Engineering AMET Deemed UniversityChennai603112India Department of Electrical and Electronics Engineering Rajalakshmi Engineering CollegeChennai602105India

This research proposes a more advanced way to address Combined Economic Emission Dispatch(CEED)*** Load Dispatch(ELD)and Economic Emission Dispatch(EED)have been implemented to reduce generating unit fuel costs and *** both economics and emission tar-gets are taken into account,the dispatch of an aggregate cost-effective emission challenge *** research affords a mathematical modeling-based analyti-cal technique for solving economic,emission,and collaborative economic and emission dispatch problems with only one *** study takes into account both the fuel cost target and the environmental impact of *** bi-inten-tion CEED problem is converted to a solitary goal function using a price penalty factor *** this case,a metaheuristic and an environment-inspired,intel-ligent Spider Monkey Optimization technique(SMO)are used to address the CEED *** following the generator’s scheduling process,the SMO meth-od is used to regulate the output from the power generation system in terms of pollution and fuel *** Fission-Fusion social(FFS)structure of spider mon-keys promotes them to utilize a global optimization method known as SMO dur-ing foraging *** emphasis is mostly on lowering the cost of generation and pollution in order to improve the efﬁciency of the power system and han-dle dispatch problems with *** economic dispatch has been reme-died,and the improved result demonstrates that the system’s performance is stable andﬂexible in real ***,the system’s output demonstrates that the system has improved in resolving CEED difﬁ*** compared to ear-lier investigations,the proposed model’sﬁndings have *** the gener-ating units,wind and solar are used to explore the CEED crisis in the IEEE 30 bus system.

关键词： Cost of generation emission CEED thermal power system bi-intention SMO wind and solar IEEE 30 bus system

Comparison of microwave and autoclave treatment for biomedical waste disinfection

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Systems Microbiology and Biomanufacturing 2022年第4期2卷 732-742页

作者： Vamsi Krishna reddy Kollu parmeshwar Kumar Krishna Gautam All India Institute of Medical Sciences New Delhi 110029India Centre for Energy and Environmental Sustainability LucknowUttar Pradesh 226029India

As the world is facing a Covid-19 pandemic,this virus teaches a lesson about the importance of on-site ***-site disinfection/sterilization with real-time monitoring of biomedical waste generated from the medical facilities is mandatory to prevent hospital-acquired infection(HAI).In this study,the life cycle assessment of two technologies,i.e.,microwave(radiation-based)and autoclave(steam-based)were performed to summarize the inside-out evaluation of both technologies in terms of efficiency,efficacy,and *** results of disinfection efficacy indicated a log 10 reduction(almost 100%)in the vegetative load of microorganisms compared to the control,showing a similar level of disinfection efficacy of both ***,both technologies were compared on several parameters,and it was discovered that the autoclave uses more time and resources than the *** total cost of an autoclave to the government is approximately double that of a microwave,while the operational cost of an autoclave is more than double that of a *** findings from this study indicate that MACS may be used as a dry technique of biomedical disinfection,and its portability,tunability,and compactness make it a suitable alternative for biomedical disinfection and sterilization.

关键词： Biomedical waste management Microwave Disinfection Sterilization COVID-19

Hormonal contraception for human males:prospects

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Asian Journal of Andrology 2000年第1期2卷 46-50页

作者： p.R.K.reddy School of Life Sciences University of Hyderabad Hyderabad-500 046 India

Development of an ideal hormonal contraceptive for man has been the goal of several research workers during thepast few decades. Suppression of pituitary gonadotropic hormones, which in turn would inhibit spermatogenesis whilemaintaining normal libido and potentia has been the approach for a contraceptive agent. Intramuscularly administeredand orally active testosterone or testosterone in combination with progesterone have been shown to cause inhibition ofspermatogenesis resulting in azoospermia in normal men. Similarly testosterone has been used in combination with go-nadotropin releasing hormone antagonists and agonists to inhibit pituitary gonadotropic hormone release. Immunologicalapproach to neutralize the circulating levels of follicle stimulating hormone has also been shown to cause inhibition ofspermatogenesis. The available literature shows that testosterone causes reversible azoospermia without any significantside effects in Asian population effectively and appears to be a promising chemical for control of fertility in man.

关键词： testosterone progesterone male contraceptive agents gonadorelin spermatogenesis spermatogensis-blocking agents

A multi-preference integrated algorithm(MpIA)for the deep learning-based recommender framework(DLRF)

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International Journal of Intelligent Computing and Cybernetics 2022年第4期15卷 625-641页

作者： Vikram Maditham N.Sudhakar reddy Madhavi Kasa Computer Science and Engineering JNTUA CEAAnantapurIndia Sri Venkateswara College of Engineering TirupatiIndia JNTUA AnanthapuramuIndia

purpose-The deep learning-based recommender framework(DLRF)is based on an improved long short-term memory(LSTM)structurewith additional controllers;thus,it considers contextual information for state *** also handles irregularities in the data to enhance performance in generating recommendations while modelling short-term *** algorithm named a multi-preference integrated algorithm(MpIA)is proposed to have dynamic integration of both kinds of user preferences *** experiments are made using Amazon benchmark datasets,and the results are compared with many existing recommender systems(RSs).Design/methodology/approach-RSs produce quality information filtering to the users based on their *** the contemporary era,online RSs-based collaborative filtering(CF)techniques are widely used to model long-term preferences of *** deep learning models,such as recurrent neural networks(RNNs),it became viable to model short-term preferences of *** the existing RSs,there is a lack of dynamic integration of both long-and short-term *** this paper,the authors proposed a DLRF for improving the state of the art in modelling short-term preferences and generating recommendations as ***-The results of the empirical study revealed that the MpIA outperforms existing algorithms in terms of performance measured using metrics such as area under the curve(AUC)and *** percentage of improvement in terms AUC is observed as 1.3,2.8,3 and 1.9%and in terms of F-1 score 0.98,2.91,2 and 2.01%on the ***/value-The algorithm uses attention-based approaches to integrate the preferences by incorporating contextual information.

关键词： Collaborative filtering Deep learning User preference integration Recommender systems

One-dimensional numerical investigation on multicylinder gasoline engine fueled by micro-emulsions,CNG,and hydrogen in dual fuel mode

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Chinese Journal of Aeronautics 2023年第5期36卷 57-65页

作者： Ufaith QADIRI D.SIVA KRISHNA reddy Amjad ALI pASHA Mohammad IRFAN ALAM Department of Mechanical Engineering Sreenidhi UniversityYamnampetGhatkesar Hyderabad 501301India School of Mechanical Engineering SRM Institute of Science and TechnologyKattankulathurChennai 603203India Aerospace Engineering Department King Abdulaziz UniversityJeddah 21589Saudi Arabia Department of Aerospace Engineering VIT Bhopal UniversitySehore 466665India

This research work is the novel state-of-the-art technology performed on multi-cylinder SI engine fueled compressed natural gas,emulsified fuel,and hydrogen as dual *** work predicts the overall features of performance,combustion,and exhaust emissions of individual fuels based on AVL Boost simulation *** types of alternative fuels have been compared and *** results show that hydrogen produces 20%more brake power than CNG and 25%more power than micro-emulsion fuel at 1500 r/min,which further increases the brake power of hydrogen,CNG,and micro-emulsions in the range of 25%,20%,and 15%at higher engine speeds of 2500-4000 r/min,*** addition,the brake-specific fuel consumption is the lowest for 100%hydrogen,followed by CNG 100%and then micro-emulsions at 1500 r/*** 2500-5000 r/min,there is a significant drop in brake-specific fuel consumption due to a lean mixture at higher engine *** CO,HC,and NOx emissions significantly improve for hydrogen,CNG,and micro-emulsion *** fuel shows zero CO and HC emissions and is the main objective of this research to produce 0%carbon-based emissions with a slight increase in NOx emissions,and CNG shows 30%lower CO emissions than micro-emulsions and 21.5%less hydrocarbon emissions than micro-emulsion fuel at stoichiometric air/fuel ratio.

关键词： CNG Emissions Hydrogen Ignition Micro-emulsions performance

Smart contract token-based privacy-preserving access control system for industrial Internet of Things

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Digital Communications and Networks 2023年第2期9卷 337-346页

作者： Weizheng Wang Huakun Huang Zhimeng Yin Thippa reddy Gadekallu Mamoun Alazab Chunhua Su Department of Computer Science City University of Hong KongHong Kong SAR999077China Division of Computer Science University of AizuFukushima965-8580Japan School of Information Technology and Engineering Vellore Institute of TechnologyTamil NaduIndia College of Engineering IT and EnvironmentCharles Darwin UniversityAustralia School of Computer Science and Cyber Engineering Guangzhou UniversityChina

Due to mobile Internet technology's rapid popularization,the Industrial Internet of Things(IIoT)can be seen everywhere in our daily *** IIoT brings us much convenience,a series of security and scalability issues related to permission operations rise to the surface during device ***,at present,a reliable and dynamic access control management system for IIoT is in urgent *** till now,numerous access control architectures have been proposed for ***,owing to centralized models and heterogeneous devices,security and scalability requirements still cannot be *** this paper,we offer a smart contract token-based solution for decentralized access control in IIoT ***,there are three smart contracts in our system,including the Token Issue Contract(TIC),User Register Contract(URC),and Manage Contract(MC).These three contracts collaboratively supervise and manage various events in IIoT *** also utilize the lightweight and post-quantum encryption algorithm-Nth-degree Truncated polynomial Ring Units(NTRU)to preserve user privacy during the registration ***,to evaluate our proposed architecture's performance,we build a prototype platform that connects to the local ***,experiment results show that our scheme has achieved secure and dynamic access control for the IIoT system compared with related research.

关键词： Blockchain privacy preservation Smart contract Industrial IoT