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Chaotic Whale Optimized Fractional Order PID Controller Design for Desalination Process

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Computers, Materials & Continua 2022年第5期71卷 2789-2806页

作者： F.Kavin R.senthilkumar Department of Electronics and Instrumentation Engineering Saveetha Engineering CollegeThandalamChennai602105India Department of Electrical and Electronics Engineering Saveetha Engineering CollegeThandalamChennai602105India

The main aim of this work is to design a suitable Fractional Order Proportionl Integral Derivative(FOPID)controller with Chaotic Whale Optimization Algorithm(CWOA)for a RO desalination *** research on Reverse Osmosis(RO)desalination plants is a promising technique for satisfaction with sustainable and efficient RO *** work implements CWOA based FOPID for the simulation of reverse osmosis(RO)desalination process for both servo and regulatory *** modeling is a vital constituent of designing advanced and developed engineering processes,which helps to gain a deep study of processes to predict the performance,more *** approaches have been employed for mathematical models based on mass and heat transfer and concentration of permeable flow *** of FOPID controllers is broadly used to improve the dynamic response of the system,at the same time,to reduce undershoot or overshoot,steady state error and hence improve the *** performances of the FOPID controller with optimization is compared in terms of measures such as Integral Time Absolute Error(ITAE)and Integral Square Error(ISE).Simulation results with FOPID on desalination process achieved rise time of 0.0311 s,settling time of 0.0489 s and 0.7358%overshoot,better than the existing techniques available in the literatures.

关键词： Desalination FOPID integral of absolute error reverse osmosis water treatment

A Novel Approach for Network Vulnerability Analysis in IIoT

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Computer Systems Science & Engineering 2023年第4期45卷 263-277页

作者： K.Sudhakar S.senthilkumar Department of Computer Science and Engineering University College of EngineeringPattukkottaiRajamadam614701India

Industrial Internet of Things(IIoT)offers efficient communication among business partners and *** an enlargement of IoT tools connected through the internet,the ability of web traffic gets *** to the raise in the size of network traffic,discovery of attacks in IIoT and malicious traffic in the early stages is a very demanding issues.A novel technique called Maximum Posterior Dichotomous Quadratic Discriminant Jaccardized Rocchio Emphasis Boost Classification(MPDQDJREBC)is introduced for accurate attack detection wi th minimum time consumption in *** proposed MPDQDJREBC technique includes feature selection and ***,the network traffic features are collected from the *** applying the Maximum Posterior Dichotomous Quadratic Discriminant analysis to find the significant features for accurate classification and minimize the time *** the significant features selection,classification is performed using the Jaccardized Rocchio Emphasis Boost *** Rocchio Emphasis Boost Classification technique combines the weak learner result into strong *** Rocchio classification technique is considered as the weak learners to identify the normal and ***,proposed MPDQDJREBC technique gives strong classification results through lessening the quadratic *** assists for proposed MPDQDJREBC technique to get better the accuracy for attack detection with reduced time *** assessment is carried out with UNSW_NB15 Dataset using different factors such as accuracy,precision,recall,F-measure and attack detection *** observed results exhibit the MPDQDJREBC technique provides higher accuracy and lesser time consumption than the conventional techniques.

关键词： Industrial internet of things(iiot) attack detection features selection maximum posterior dichotomous quadratic discriminant analysis jaccardized rocchio emphasis boost classification

Mapping allosteric pathway in NIa-Pro using computational approach

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Quantitative Biology 2023年第1期11卷 82-93页

作者： Rashmi Panigrahi senthilkumar Kailasam Department of Biochemistry University of AlbertaEdmontonT6G 2H7Canada Canadian Centre for Computational Genomics McGill UniversityMontréalH3A 0G1Canada

Background:Computer simulation studies complement in vitro experiments and provide avenue to understand allosteric regulation in the absence of other molecular viewing *** dynamics captures internal motion within the protein and enables tracing the communication path between a catalytic site and a distal allosteric *** this article,we have identified the communication pathway between the viral protein genome linked(VPg)binding region and catalytic active site in nuclear inclusion protein-a protease(NIa-Pro).Methods:Molecular dynamics followed by in silico analyses have been used to map the allosteric ***:This study delineates the residue interaction network involved in allosteric regulation of NIa-Pro activity by *** studies indicate that point mutations in the VPg interaction interface of NIa-Pro lead to disruption in these networks and change the orientation of catalytic ***142Ala and His167Ala mutations do not show a substantial change in the overall protease structure,but rather in the residue interaction network and catalytic site ***:Our mutagenic study delineates the allosteric pathway and facilitates the understanding of the modulation of NIa-Pro activity on a molecular level in the absence of the structure of its complex with the known regulator ***,our in silico analysis explains the molecular concepts and highlights the dynamics behind the previously reported wet lab study findings.

关键词： NIa-Pro VPg simulation residue interaction network allostery

A step towards zero leprosy: Active case finding through community-based approach

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Asian Pacific Journal of Tropical Medicine 2023年第7期16卷 332-334页

作者： senthilkumar Ramasamy Sanjana Agrawal Hafseera Paradan State Health Resource Centre RaipurChhattisgarhIndia School of Public Health All India Institute of Medical SciencesRaipurChhattisgarhIndia

Leprosy with multidrug therapy and treatment in the early stages can prevent disability,but it still represents a significant health problem,mainly in vulnerable populations[1].However,if left untreated,leprosy can cause progressive and permanent damage to the skin,nerves,limbs,and *** the constant efforts of the National Leprosy Elimination Programme in India,the implementation of multidrug therapy has lowered the prevalence rate to 0.66/10000 in 2016[1].

关键词： nerves finding damage

Rechargeable Na-MnO_(2) battery with modified cell chemistry

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Journal of Energy Chemistry 2023年第9期84卷 414-423页

作者： Sirugaloor Thangavel senthilkumar Rebeca Marcilla Youngsik Kim Jesus Palma Mani Ulaganathan Jeong-Sun Park School of Energy&Chemical Engineering Ulsan National Institute of Science and Technology(UNIST)Ulsan 689-798Republic of Korea Electrochemical Processes Unit IMDEA Energy InstituteAvda.Ramón de La Sagra 328935MóstolesSpain Center for Advanced Materials Research Research Institute of Science and TechnologyUniversity of SharjahP.O.Box 27272SharjahUnited Arab Emirates Energy Materials and Devices Lab 4TOONE CorporationUNIST-gil 50Ulsan 689-798Republic of Korea Department of Sciences Amrita School of Physical SciencesAmrita Vishwa VidyapeethamCoimbatore 641112India

High voltage,high energy density,nominal cycle life,and low cost are the most critical requirements of rechargeable batteries for their widespread energy storage applications in electric vehicles and renewable energy ***-MnO_(2) battery could be a low-cost contender,but it suffers extensively from its low cell voltage and poor *** this study,we modified the conventional cell structure of Na-MnO_(2) battery and established altered cell chemistry through a hybrid electrochemical process consisting of Na striping/plating at the anode and Zn^(2+) insertion/de-insertion along with MnO_(2) dissolution/deposition at the *** the modification,Na-MnO_(2) battery exhibits a discharge capacity of 267.10 mA h/g and a cell voltage of 3.30 V(***/Na^(+)),resulting in a high specific energy density of 881.43 Wh/*** 300 cycles,the battery retains 98% of its first-cycle discharge capacity with100% coulombic ***,Na metal-free battery assembled using sodium biphenyl as a safer anode also delivers an excellent energy density of 810.0 Wh/*** work could provide a feasible method to develop an advanced Na-MnO_(2) battery for real-time energy storage applications.

关键词： Hybrid battery Sodium metal Sodium biphenyl High cell voltage Manganese dioxide battery Modified cell chemistry

Psychiatric nursing:A specialty in greater demand

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Journal of Integrative Nursing 2023年第1期5卷 73-74页

作者： Suganya PANNEERSELVAM senthilkumar RAMASAMY Department of Nursing All India Institute of Medical SciencesRaipurChhattisgarhIndia Department of School of Public Health All India Institute of Medical SciencesRaipurChhattisgarhIndia

Health-care professionals acquire negative and discriminatory attitudes toward mental *** nursing is considered a less valuable field and they choose to work in a psychiatric setting only when there are no other employment *** global burden of disease study(2017)shows that 197.3 million people had mental disorders in India and one in seven Indians were affected by mental *** the theory and clinical posting hours in psychiatry helps to promote a sense of preparedness and reducing the negative stereotypes can contribute to develop an interest in a future career in psychiatric *** health is the foundation for the well-being and effective functioning of an *** play a plethora of roles such as case manager(clinical nurse),mentor,lecturer,researcher,policymaker,counselor,and clinical ***,it is the right time to choose this right field,which has a lot of opportunities.

关键词： Attitude career education nursing

Multi-State-Space Reasoning Reinforcement Learning for Long-Horizon RFID-Based Robotic Searching and Planning Tasks

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Journal of Communications and Information Networks 2022年第3期7卷 239-251页

作者： Zhitao Yu Jian Zhang Shiwen Mao senthilkumar C G Periaswamy Justin Patton Department of Electrical and Computer Engineering Auburn UniversityAuburnAL 36849-5201USA Department of Electrical and Computer Engineering Kennesaw State UniversityKennesawGA 30144USA RFID Lab at Auburn University AuburnAL 36849USA

In recent years,reinforcement learning(RL)has shown high potential for robotic ***,RL heavily relies on the reward function,and the agent merely follows the policy to maximize rewards but lacks reasoning *** a result,RL may not be suitable for long-horizon robotic *** this paper,we propose a novel learning framework,called multiple state spaces reasoning reinforcement learning(SRRL),to endow the agent with the primary reasoning ***,we abstract the implicit and latent links between multiple state ***,we embed historical observations through a long short-term memory(LSTM)network to preserve long-term memories and *** proposed SRRL’s ability of abstraction and long-term memory enables agents to execute long-horizon robotic searching and planning tasks more quickly and reasonably by exploiting the correlation between radio frequency identification(RFID)sensing properties and the environment occupation *** experimentally validate the efficacy of SRRL in a visual game-based simulation *** methodology outperforms three state-of-the-art baseline schemes by significant margins.

关键词： reinforcement learning multiple state spaces abstract reasoning long-horizon robotic task

Deep Learning Enabled Social Media Recommendation Based on User Comments

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Computer Systems Science & Engineering 2023年第2期44卷 1691-1702页

作者： K.Saraswathi V.Mohanraj Y.Suresh J.senthilkumar Department of Computer Science and Engineering Government College of EngineeringSalem636011India Department of Information Technology Sona College of TechnologySalem636005India

Nowadays,review systems have been developed with social media Recommendation systems(RS).Although research on RS social media is increas-ing year by year,the comprehensive literature review and classiﬁcation of this RS research is limited and needs to be *** previous method did notﬁnd any user reviews within a time,so it gets poor accuracy and doesn’tﬁlter the irre-levant comments efﬁ*** Recursive Neural Network-based Trust Recom-mender System(RNN-TRS)is proposed to overcome this method’s *** it is efﬁcient to analyse the trust comment and remove the irrelevant sentence ***ﬁrst step is to collect the data based on the transactional reviews of social *** second step is pre-processing using Imbalanced Col-laborative Filtering(ICF)to remove the null values from the *** the features from the pre-processing step using the Maximum Support Grade Scale(MSGS)to extract the maximum number of scaling features in the dataset and grade the weights(length,count,etc.).In the Extracting features for Training and testing method before that in the feature weights evaluating the softmax acti-vation function for calculating the average weights of the ***,In the classiﬁcation method,the Recursive Neural Network-based Trust Recommender System(RNN-TRS)for User reviews based on the Positive and negative scores is analysed by the *** simulation results improve the predicting accuracy and reduce time complexity better than previous methods.

关键词： Recommendation systems(RS) social media recursive neural network-based trust recommender system(RNN-TRS) user reviews

Association RuleMining Frequent-Pattern-Based Intrusion Detection in Network

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Computer Systems Science & Engineering 2023年第2期44卷 1617-1631页

作者： S.Sivanantham V.Mohanraj Y.Suresh J.senthilkumar Department of Information Technology Adhiyamaan College of EngineeringHosurTamilnaduIndia Department of Information Technology Sona College of TechnologySalemTamilnaduIndia

In the network security system,intrusion detection plays a signiﬁcant *** network security system detects the malicious actions in the network and also conforms the availability,integrity and conﬁdentiality of data informa-tion *** identiﬁcation system can easily detect the false positive *** large number of false positive alerts are created then it makes intrusion detection system as difﬁcult to differentiate the false positive alerts from genuine *** research works have been *** issues in the existing algo-rithms are more memory space and need more time to execute the transactions of *** paper proposes a novel framework of network security Intrusion Detection System(IDS)using Modiﬁed Frequent Pattern(MFP-Tree)via K-means *** accuracy rate of Modiﬁed Frequent Pattern Tree(MFPT)-K means method inﬁnding the various attacks are Normal 94.89%,for DoS based attack 98.34%,for User to Root(U2R)attacks got 96.73%,Remote to Local(R2L)got 95.89%and Probe attack got 92.67%and is optimal when it is compared with other existing algorithms of K-Means and APRIORI.

关键词： IDS K-means frequent pattern tree false alert mining L1-norm