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Indoor versus outdoor scene recognition for navigation of a micro aerial vehicle using spatial color gist wavelet descriptors

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Visual Computing for Industry,Biomedicine,and Art 2019年第1期2卷 192-204页

作者： Anitha ganesan Anbarasu Balasubramanian Department of Aerospace Engineering Madras Institute of TechnologyAnna UniversityChennai 600044India

In the context of improved navigation for micro aerial vehicles,a new scene recognition visual descriptor,called spatial color gist wavelet descriptor(SCGWD),is *** was developed by combining proposed Ohta color-GIST wavelet descriptors with census transform histogram(CENTRIST)spatial pyramid representation descriptors for categorizing indoor versus outdoor scenes.A binary and multiclass support vector machine(SVM)classifier with linear and non-linear kernels was used to classify indoor versus outdoor scenes and indoor scenes,*** this paper,we have also discussed the feature extraction methodology of several,state-of-the-art visual descriptors,and four proposed visual descriptors(Ohta color-GIST descriptors,Ohta color-GIST wavelet descriptors,enhanced Ohta color histogram descriptors,and SCGWDs),in terms of experimental *** proposed enhanced Ohta color histogram descriptors,Ohta color-GIST descriptors,Ohta color-GIST wavelet descriptors,SCGWD,and state-of-the-art visual descriptors were evaluated,using the Indian Institute of Technology Madras Scene Classification Image Database two,an Indoor-Outdoor Dataset,and the Massachusetts Institute of Technology indoor scene classification dataset[(MIT)-67].Experimental results showed that the indoor versus outdoor scene recognition algorithm,employing SVM with SCGWDs,produced the highest classification rates(CRs)—95.48%and 99.82%using radial basis function kernel(RBF)kernel and 95.29%and 99.45%using linear kernel for the IITM SCID2 and Indoor-Outdoor datasets,*** lowest CRs—2.08%and 4.92%,respectively—were obtained when RBF and linear kernels were used with the MIT-67 *** addition,higher CRs,precision,recall,and area under the receiver operating characteristic curve values were obtained for the proposed SCGWDs,in comparison with state-of-the-art visual descriptors.

关键词： Micro aerial vehicle Scene recognition Navigation Visual descriptors Support vector machine

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A critical review on phytochemical profile and health promoting effects of mung bean (Vigna radiata)

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Food Science and Human Wellness 2018年第1期7卷 11-33页

作者： Kumar ganesan Baojun Xu Food Science and Technology Program Beijing Normal University–Hong Kong Baptist University United International CollegeZhuhai519085

The seeds and sprouts of mung bean are very common cruise in *** showed that bioactive compounds in mung bean have emerged as an increasing scientific interest due to their role in the prevention of degenerative *** data of in vitro,in vivo and clinical studies of mung bean and its impact on human health were collected from a library database and electronic ***,phytochemical and pharmacological information was gathered and *** studies have been demonstrated,showing the enhancement of metabolites in mung bean during the sprouting process,which possesses various health benefiting bioactive *** compounds have been frequently attributed to their antioxidant,anti-diabetic,antimicrobial,anti-hyperlipidemic and antihypertensive effect,anti-inflammatory,and anticancer,anti-tumor and anti-mutagenic *** this critical review,we aimed to study the insight of the nutritional compositions,phytochemistry,and healthpromoting effects of mung bean and its *** various curative potential of mung bean provides successive preclinical outcomes in the field of drug discovery and this review strongly recommends that mung bean is an excellent nutritive legume,which modulates or prevents chronic degenerative diseases.

关键词： Mung bean Nutritional composition Phytochemistry Health promoting effects

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Chaotic Simulator for Bilevel Optimization of Virtual Machine Placements in Cloud Computing

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Journal of the Operations Research Society of China 2022年第4期10卷 703-723页

作者： Timothy ganesan Pandian Vasant Igor Litvinchev Member of American Mathematical Society AlbertaT2P 0X2Canada Universiti Teknologi Petronas Seri Iskandar32610Malaysia Nuevo Leon State University San Nicolás de los GarzaNuevo LeónCP66450Mexico

The drastic increase in engineering system complexity has spurred the development of highly efficient optimization *** real-world optimization problems have been identified as bilevel/multilevel as well as *** primary aim of this work is to present a framework to tackle the bilevel virtual machine(VM)placement problem in cloud *** is done using the coupled map lattice(CML)approach in conjunction with the Stackelberg game theory and weighted-sum *** VM placement problem was modified from the original multiobjective(MO)problem to an MO bilevel formulation to make it more realistic albeit more *** comparative analysis on the performance of the CML approach was carried out against the particle swarm optimization method.A new bilevel metric called the cascaded hypervolume indicator is introduced and applied to measure the dominance of the solutions produced by both *** analysis on the computational results is presented.

关键词： Bilevel multiobjective Coupled map lattices(CML) Stackelberg game theory Particle swarm optimization(PSO) Cascaded hypervolume indicator(cHVI) Virtual machine(VM)placement

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A new approach for deposition of silver film from AgCl through successive ionic layer adsorption and reaction technique

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Journal of Central South University 2017年第12期24卷 2793-2798页

作者： Johnson Henry Arockiasamy Ajaypraveenkumar ganesan Sivakumar Kannusamy Mohanraj Department of Physics Manonmaniam Sundaranar University Tirunelveli-627 012 Tamil Nadu India CISL Department of Physics Annamalai University Annamalai nagar-608 002 Tamil Nadu India

An attempt was made to deposit thin film of silver onto the glass substrate by using Ag Cl precursor, instead of conventional precursor AgNO_3 with vitamin C by inexpensive and convenient successive ionic layer adsorption and reaction(SILAR) method. The deposited silver thin film was characterized by X-ray diffraction(XRD) analysis, scanning electron microscope(SEM), UV-visible and electrical I-V study. The diffraction study showed FCC structure of metallic silver in good agreement with the standard values of JCPDS(04–0783). SEM reveals flower like nano particles produced on the substrate. The surface plasmon resonance(SPR) peak in the UV-visible spectrum shows maximum absorption at 350 nm. The film shows an ohmic behavior and its electrical resistivity was found ~103 ?·cm at room temperature.

关键词： thin films metals materials characterization sol-gel optical properties silver

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Semi Markov process inspired selfish aware co-operative scheme for wireless sensor networks(SMPISCS)

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Cybersecurity 2019年第1期2卷 76-90页

作者： Kanchana Devi V ganesan R School of Computing Science and Engineering VIT University Chennai CampusChennaiTamilNaduIndia

In Wireless Sensor Network(WSN),energy and packet forwarding tendencies of sensor nodes plays a potential role in ensuring a maximum degree of co-operation under data *** quantified level of co-operation signifies the performance of the network in terms of increased throughput,packet delivery rate and decreased delay depending on the data being aggregated and level of control *** performance of a sensor network is highly inclined by the selfish behaving nature of sensor nodes that gets revealed when the residual energy ranges below a bearable level of activeness in packet *** selfish sensor node needs to be identified in future through reliable forecasting mechanism for improving the lifetime and packet delivery *** Markov Process Inspired Selfish aware Co-operative Scheme(SMPISCS)is propounded for making an attempt to mitigate selfish nodes for prolonging the lifetime of the network and balancing energy consumptions of the *** model provides a kind of sensor node’s behavior for quantifying and future forecasting the probability with which the node could turn into *** experiments are carried out through Network Simulator 2 and the performance are analyzed based on varying the number of selfish sensor nodes,number of sensor nodes and range of detection threshold.

关键词： Information security Routing overhead Selfish sensor nodes Semi Markov process Wireless sensor networks

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Dengue positivity among blood donors in hyper-endemic region of southern India

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Asian Pacific Journal of Tropical Medicine 2023年第4期16卷 190-192页

作者： Mahadevan ganesan Robert Sudha ganesan Sucila Thangam Sivathanu Lalitha Virus Research and Diagnostic Laboratory Department of MicrobiologyGovernment Theni Medical CollegeTheniTamil NaduIndia Department of Microbiology Government Theni Medical CollegeTheniTamil NaduIndia

Transfusion-transmitted infections(TTIs)impose meticulous screening protocols in blood *** or re-emerging viruses with altered pathogenicity remains debatable whether or not to include those in TTI screening *** infection is known to transmit via Aedes aegypti mosquito;however,the route of infection through blood transfusion is recently of greater *** with hyper-endemic and endemic dengue regions must guarantee the safety in transfusion-related *** donor with asymptomatic dengue infection during viremic phase can act as a reservoir for *** acute infection in dengue is ascertained by detecting either nonstructural-1 protein(NS1)or IgM antibody whereas the prevalence of dengue can be monitored by the presence of IgG.

关键词： transfusion reservoir guarantee

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Influence of variables in deep drawing of AA 6061 sheet

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Transactions of Nonferrous Metals Society of China 2010年第10期20卷 1856-1862页

作者： S.RAJU G.ganesan R.KARTHIKEYAN Department of Manufacturing Engineering Annamalai University Department of Mechanical Engineering

Deep drawing is one of the most important processes for forming sheet metal *** is widely used for mass production of cup shapes in automobile,aerospace and packaging *** drawing,besides its importance as forming process,also serves as a basic test for the sheet metal *** effect of equipment and tooling parameters results in complex deformation *** of thickness variation in the formed part may cause stress concentration and may lead to acceleration of *** TAGUCHI's signal-to-noise ratio,it is determined that the die shoulder radius has major influence followed by blank holder force and punch nose radius on the thickness distribution of the deep drawn cup of AA 6061 *** optimum levels of the above three factors,for the most even wall thickness distribution,are found to be punch nose radius of 3 mm,die shoulder radius of 8 mm and blank holder force of 4 kN.

关键词： deep drawing aluminium alloy thickness distribution signal to noise ratio

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EPQ models with bivariate random imperfect proportions and learningdependent production and demand rates

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Journal of Management Analytics 2021年第1期8卷 134-170页

作者： S.ganesan R.Uthayakumar Department of Mathematics Government Polytechnic CollegeUsilampattiTamilnaduIndia Department of Mathematics The Gandhigram Rural Institute(Deemed to be University)GandhigramTamilnaduIndia

In this paper,three production inventory models are constructed for an imperfect manufacturing system by considering a warm-up production run,shortages during the hybrid maintenance period,and the rework of imperfect *** proportions of imperfect items produced during the warm-up and regular production runs are random and they are represented using a bivariate random *** shortage quantity is partially backordered and the supply of backorder quantity is planned simultaneously with regular demand *** learning models are designed to accommodate the different learning capabilities of workers in unit production time during warm-up and regular production *** production and demand rates of these models are made dependent on the learning *** the resulting models are highly nonlinear in the decision variable,they are optimized using a genetic *** models are illustrated using numerical examples and sensitivity studies are performed to find the influence of the key parameters.

关键词： production inventory imperfect manufacturing system bivariate imperfect proportions warm-up production maintenance rework learning genetic algorithm

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Experimental assessment of performance and exhaust emission characteristics of a diesel engine fuelled with Punnai biodiesel/butanol fuel blends

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Petroleum Science 2019年第6期16卷 1471-1478页

作者： Yuvarajan Devarajan Dineshbabu Munuswamy Beemkumar Nagappan ganesan Subbiah Department of Mechanical Engineering Madanapalle Institute of Technology&ScienceMadanapalleIndia Department of Mechanical Engineering Panimalar Engineering CollegeChennaiIndia Department of Mechanical Engineering Jain UniversitySchool of Engineering and TechnologyBangaloreIndia Department of Mechanical Engineering Sathyabama Institute of Science and TechnologyChennaiIndia

This work examines the effect of butanol as an oxygenated additive to lower carbon monoxide,smoke,nitrogen oxide and hydrocarbon emissions and to improve the performance aspects of Calophyllum inophyllum(Punnai)***,oil-cooled compression ignition engines are employed in this *** Punnai biodiesel(P100)is blended with butanol at 10%and 20%by volume and labelled as B10 P90 and B20 P80,*** and alkaline catalyst(KOH)were used for the transesterification process for biodiesel *** transesterification technique yielded 88%biodiesel from raw Punnai *** tests resulted in lower CO,smoke,NO_x and HC emissions when fuelled with both butanol blends when compared to *** addition,BSFC(brake-specific fuel consumption)reduced and BTE(brake thermal effciency)increased with the inclusion of butanol blends(B10 and B20)to neat Punnai biodiesel.

关键词： Butanol Punnai biodiesel Nitrogen oxide Carbon dioxide Engine

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Progressive Transfer Learning-based Deep Q Network for DDOS Defence in WSN

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Computer Systems Science & Engineering 2023年第3期44卷 2379-2394页

作者： S.Rameshkumar R.ganesan A.Merline Department of Electronics and Communication Engineering Sethu Institute of TechnologyVirudhunagarTamilnaduIndia Department of Electrical and Electronics Engineering E.G.S.Pillay Engineering collegeNagapattinamTamilnaduIndia

In The Wireless Multimedia Sensor Network(WNSMs)have achieved popularity among diverse communities as a result of technological breakthroughs in sensor and current *** utilising portable technologies,it achieves solid and significant results in wireless communication,media transfer,and digital *** nodes have been used in agriculture and industry to detect characteristics such as temperature,moisture content,and other environmental conditions in recent *** have also made apps easier to use by giving devices self-governing access to send and process data connected with appro-priate audio and video *** video sensor network studies focus on lowering power consumption and increasing transmission capacity,but the main demand is data *** of the obstacles in the sensor nodes,WMSN is subjected to a variety of attacks,including Denial of Service(DoS)*** Convolutional Neural Network is designed with the stateaction relationship mapping which is used to identify the DDOS Attackers present in the Wireless Sensor Networks for Smart *** Proposed work it performs the data collection about the traffic conditions and identifies the deviation between the network conditions such as packet loss due to network congestion and the presence of attackers in the *** reduces the attacker detection delay and improves the detection *** order to protect the network against DoS assaults,an improved machine learning technique must be *** efficient Deep Neural Network approach is provided for detecting DoS in *** required parameters are selected using an adaptive particle swarm optimization *** ratio of packet transmission,energy consumption,latency,network length,and throughput will be used to evaluate the approach’s efficiency.

关键词： DOS attack wireless sensor networks for smart agriculture deep neural network machine learning technique

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