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Methodology of Integrated Coastal Zone Management Plan Preparation – Case Study of Andaman Islands, India

Journal of Environmental Protection 2011年第6期2卷 750-760页

作者： Devaraj Asir Ramesh arumugam senthil vel 不详

Generally, approaches of coastal issues are sectoral basis and solutions have been formed in adhoc fashions which are not long lasting. Integrated Coastal Zone Management (ICZM) is conceived as a holistic management tool working across sectoral, disciplinary, and institutional boundaries. ICZM planning is a continuous process to achieve the goals and objectives by using alternative decisions. ICZM plan is providing boundary conditions for limitation, negotiation and implementation. Planning for coastal management is essentially requires integration of resources, uses, issues, and tools for achieving the management objectives. The ultimate goal of ICZM is to improve the quality of life of human communities. Coastal area management needs integrated, interdisciplinary and multi-sectoral approaches for sustainable utilization of resources, which is the fundamental objective of the resource planners and managers. Methodology for ICZM planning is differing in relation to the regional culture, society, economics, politics, nature, technology, scientific, human behavior, etc. Planning for coastal management is very easy by following the methodology or framework developed for the planning process. A case study of ICZM Plan for Andaman has been prepared by using the participatory methodology, which is the source of consensus for all stakeholders of the Andaman Islands. The tasks of ICZM Plan preparation for Andaman Islands includes, knowledgebase development, selection of ICZM plan preparation methodologies, conflict identification, risk analysis, cost benefit analysis, strategic and action plans, recommendations and institutional changes. This ICZM methodology could be used for comparing and understanding the boundary conditions of union or federal developing nations towards comparative planning.

关键词： ICZM Methodology Database Planning Strategy Andaman

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A facile preparation of 3D flower-shaped Ni/Al-LDHs covered by β-Ni(OH)2 nanoplates as superior material for high power application

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Chinese Journal of Chemical Engineering 2019年第10期27卷 2526-2534页

作者： Abrar Khan Raja arumugam senthil Junqing Pan Yanzhi Sun State Key Laboratory of Chemical Resource Engineering Beijing Engineering Center for Hierarchical CatalystsBeijing Advanced Innovation Center for Soft Matter Science and EngineeringBeijing University of Chemical TechnologyBeijing 100029China

In the present study,we propose a novel electrode material ofβ-nickel hydroxide covering nickel/aluminum layered double hydroxides via a facile complexation–precipitation *** as-obtained materials with 3-dimensional nanostructures are further utilized as highly capable electrode material in nickel–metal hydride *** electrochemical test results demonstrated theβ-nickel hydroxide covering nickel/aluminum-layered double hydroxides with 28%ofβ-nickel hydroxide provided a superior specific capacity value of 452 m A·h·g-1 in a current density of 5 A·g-1 using 6 M KOH as electrolyte as compared with other *** addition,the optimized sample displays an outstanding cyclic stability along with a huge specific capacity value of320 m Ah·g-1,and very small decay rate of 3.3%at 50 A·g-1 after 3000 cycles of charge/discharge *** indicate that the newly designed material with nanostructures not only provides an efficient contact interface between electrolyte and active species and facilitates the transport of electrons and ions,but also protects the 3-dimensional nickel/aluminum layered double hydroxides,achieving a high specific capacity,fast redox reaction and excellent long-term cyclic ***,theβ-nickel hydroxide covering nickel/aluminum layered double hydroxides with superior electrochemical performance is predictable to be a gifted electrode material in nickel–metal hydride batteries.

关键词： Nanostructures Nickel hydroxide Cathode material Ultrafast charge–discharge Ni–MH batteries

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SAC-TA: A Secure Area Based Clustering for Data Aggregation Using Traffic Analysis in WSN

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Circuits and Systems 2016年第8期7卷 1404-1420页

作者： Mohanbabu Gopalakrishnan Gopi Saminathan arumugam Karthigai Lakshmi Shanmuga vel Department of Electronics and Communication Engineering SSM Institute of Engineering and Technology Dindigul India

Clustering is the most significant task characterized in Wireless Sensor Networks (WSN) by data aggregation through each Cluster Head (CH). This leads to the reduction in the traffic cost. Due to the deployment of the WSN in the remote and hostile environments for the transmission of the sensitive information, the sensor nodes are more prone to the false data injection attacks. To overcome these existing issues and enhance the network security, this paper proposes a Secure Area based Clustering approach for data aggregation using Traffic Analysis (SAC-TA) in WSN. Here, the sensor network is clustered into small clusters, such that each cluster has a CH to manage and gather the information from the normal sensor nodes. The CH is selected based on the predefined time slot, cluster center, and highest residual energy. The gathered data are validated based on the traffic analysis and One-time Key Generation procedures to identify the malicious nodes on the route. It helps to provide a secure data gathering process with improved energy efficiency. The performance of the proposed approach is compared with the existing Secure Data Aggregation Technique (SDAT). The proposed SAC-TA yields lower average energy consumption rate, lower end-to-end delay, higher average residual energy, higher data aggregation accuracy and false data detection rate than the existing technique.

关键词： Data Aggregation False Data Injection Attacks Malicious Nodes One-Time Key Generation Secure One-Time (SOT) Key and Wireless Sensor Networks (WSNs)

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FPGA Based Speed Control of SRM with Optimized Switching Angles by Self Tuning

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Circuits and Systems 2016年第8期7卷 1530-1545页

作者： P. Saravanan R. arumugam M. senthil Kumaran Department of Electrical and Electronic Engineering SSN College of Engineering Kalavakkam India

The electromagnetic torque and speed in Switched Reluctance Motor (SRM) greatly depend on the excitation parametersi.e. turn-on angle, turn-off angle, dwell angle and magnitude of the phase currents of its phases. At lower speeds, a change in the current contributes the torque requirement which can be achieved either by voltage control (pulse width modulation) or instantaneous current control techniques. At high speeds, due to high back EMF, the regulation of current is crucial and achieved with the control of switching angles of phases. This type of control is referred as average torque control, where the torque is averaged over one stroke (2π/Nr). With constant dwell angle, advancing the phase angle influences the current into the phase winding at minimum inductance position. It has more time to get the current out of the phase winding before the rotor reaches the negative inductance slope. To maintain the speed of the motor at different load conditions, the turn-on and turn-off angles are adaptively varied. The change in dwell angle may be required where the turn-on and turn-off angle may not be sufficient to reach the required speed. In this paper, a new algorithm is proposed for self tuning of switching parameters of SRM. The proposed algorithm is simulated in MATLAB-Simulink and experimentally validated with Field Programmable Gated Array (FPGA) using MATLAB- system generator environment.

关键词： Switched Reluctance Motor Speed Control Optimized Switching Angles FPGA Nexys-4 MATLAB-System Generator

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Optimal Power Flow Solution Using Particle Swarm Optimization Technique with Global-Local Best Parameters

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Journal of Energy and Power Engineering 2010年第2期4卷 46-51页

作者： P. Umapathy C. Venkatasehsiah M. senthil arumugam Faculty of Engineering and Technology Multimedia University Melaka 75450 Malaysia

This paper proposes an efficient method for optimal power flow solution （OPF） using particle swarm optimization （PSO） technique. The objective of the proposed method is to find the steady state operation point in a power system which minimizes the fuel cost, while maintaining an acceptable system performance in terms of limits on generator power, line flow limits and voltage limits. In order to improvise the performance of the conventional PSO （cPSO）, the fine tuning parameters- the inertia weight and acceleration coefficients are formulated in terms of global-local best values of the objective function. These global-local best inertia weight （GLBestlW） and global-local best acceleration coefficient （GLBestAC） are incorporated into PSO in order to compute the optimal power flow solution. The proposed method has been tested on the standard IEEE 30 bus test system to prove its efficacy. The results are compared with those obtained through cPSO. It is observed that the proposed algorithm is computationally faster, in terms of the number of load flows executed and provides better results than the conventional heuristic techniques.

关键词： Particle swarm optimization swarm intelligence optimal power flow solution inertia weight acceleration coefficient.

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Memory and machine attributes-based profiling and elliptic curve cryptography-based multi-level authentication for the security of Internet of Things

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International Journal of Intelligent Computing and Cybernetics 2017年第2期10卷 241-256页

作者： Vivek V.Jog senthil Murugan,T. Department of Computer Science and Engineering Vel Tech Dr.RR&Dr.SR Technical UniversityChennaiIndia

Purpose-Due to the connectivity of the multiple devices and the systems on the same network,rapid development has become possible in Internet of Things(IoTs)for the last ***,IoT is mostly affected with severe security challenges due to the potential vulnerabilities happened through the multiple connectivity of sensors,devices and *** order to handle the security challenges,literature presents a handful of security protocols for *** purpose of this paper is to present a threat profiling and elliptic curve cryptography(ECC)-based mutual and multi-level authentication for the security of *** work contains two security attributes like memory and machine-related attributes for maintaining the profile ***,the profile table stores the value after encrypting the value with ECC to avoid storage resilience using the proposed ***,three entities like,IoT device,server and authorization centre(AC)performs the verification based on seven levels mutually to provide the resilience against most of the widely accepted ***,DPWSim is utilized for simulation of IoT and verification of proposed protocol to show that the protocol is secure against passive and active ***/methodology/approach-In this work,the authors have presented a threat profiling and ECC-based mutual and multi-level authentication for the security of *** work contains two security attributes like memory and machine-related attributes for maintaining the profile ***,the profile table stores the value after encrypting the value with ECC to avoid storage resilience using the proposed ***,three entities like,IoT device,server and AC performs the verification based on seven levels mutually to provide the resilience against most of the widely accepted ***-DPWSim is utilized for simulation of IoT and verification of the proposed protocol to show that this protocol is secure against passive and active ***,at

关键词： Security Authentication Internet of Things(IoT) Manufacturing systems Networked control DNA computing Elliptic curve cryptography(ECC) Profile table

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Genetic grey wolf optimization and C-mixture for collaborative data publishing

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International Journal of Modeling, Simulation, and Scientific Computing 2018年第6期9卷 188-210页

作者： Yogesh R.Kulkarni T.senthil Murugan vel Tech University Avadi Chennai 600062Tamil NaduIndia Department of Computer Science and Engineering vel Tech University Chennai 600062 Tamil NaduIndia

Data publishing is an area of interest in present day technology that has gained huge attention of researchers and *** concept of data publishing faces a lot of security issues,indicating that when any trusted organization provides data to a third party,personal information need not be ***,to maintain the privacy of the data,this paper proposes an algorithm for privacy preserved collaborative data publishing using the Genetic Grey Wolf Optimizer(Genetic GWO)algorithm for which a C-mixture parameter is *** C-mixture parameter enhances the privacy of the data if the data does not satisfy the privacy constraints,such as the k-anonymity,l-diversity and the m-privacy.A minimum fitness value is maintained that depends on the minimum value of the generalized information loss and the minimum value of the average equivalence class *** minimum value of the fitness ensures the maximum utility and the maximum *** was carried out using the adult dataset,and the proposed Genetic GWO outperformed the existing methods in terms of the generalized information loss and the average equivalence class metric and achieved minimum values at a rate of 0.402 and 0.9,respectively.

关键词： k-Anonymity l-diversity m-privacy C-mixture Genetic GWO.

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Gaussian PI Controller Network Classifier for Grid-Connected Renewable Energy System

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Intelligent Automation & Soft Computing 2023年第1期35卷 983-995页

作者： Ravi Samikannu K.Vinoth Narasimha Rao Dasari senthil Kumar Subburaj Department of Electrical Computer and Telecommunications Engineering Botswana International University of Science and TechnologyBotswana Department of Electrical and Electronics Engineering Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and TechnologyChennaiTamil NaduIndia Department of Electrical Power Engineering College of EngineeringDefence UniversityEthiopia Department Electrical and Electronics Engineering New Prince Shri Bhavani College of Engineering and TechnologySembakkamTamil NaduIndia

Multi-port converters are considered as exceeding earlier period decade owing to function in a combination of different energy sources in a single processing *** energy sources are playing a significant role in the modern energy system with rapid *** renewable sources like fuel combustion and solar energy,the generated voltages change due to their environmental *** develop energy resources,electric power generation involved huge *** power and output voltages are plays important role in our work but it not considered in the existing *** considering the power and voltage,Gaussian PI Controller-Maxpooling Deep Convolutional Neural Network Classifier(GPIC-MDCNNC)Model is introduced for the grid-connected renewable energy *** input information is collected from two input *** that,input layer transfer information to hidden layer 1 fuzzy PI is employed for controlling voltage in GPIC-MDCNNC *** layer 1 is transferred to hidden layer *** activation is employed for determining the output voltage with help of the *** last,the output layer offers the last value in GPIC-MDCNNC *** designed method was confirmed using one and multiple sources by stable and unpredictable input ***-MDCNNC Model increases the performance of grid-connected renewable energy systems by enhanced voltage value compared with state-of-the-art *** control technique using GPIC-MDCNNC Model increases the dynamics of hybrid energy systems connected to the grid.

关键词： Multi-port converters renewable sources fuzzy PI controller gaussian activation function fuel cell

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复合帘线增强的子午线航空轮胎

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现代橡胶技术 2015年第5期41卷 24-33页

作者：李汉堂 Walter Kevin Westgate Yuvaraj senthil arumugam Robert John Gartland

本发明是有关充气航空轮胎的发明。本发明轮胎具有胎面、胎冠增强层和胎体增强层。胎体增强层至少有1层沿一对钢丝圈包卷的轴向内层织物帘布层、1层围绕各钢丝圈从内向外反包的轴向内层织物帘布层以及至少1层从一个胎圈向另一胎圈延伸... 详细信息

本发明是有关充气航空轮胎的发明。本发明轮胎具有胎面、胎冠增强层和胎体增强层。胎体增强层至少有1层沿一对钢丝圈包卷的轴向内层织物帘布层、1层围绕各钢丝圈从内向外反包的轴向内层织物帘布层以及至少1层从一个胎圈向另一胎圈延伸的内层胎体增强层的反包部正包的轴向外层胎体增强层。各胎圈具有弹性三角胶芯。至少有1层轴向内层胎体增强层或至少1层轴向外层胎体层为复合帘线。其帘线的拉断伸长率为12%~20%,断裂强度为1 050N,且具有9 000dtex以上的线密度。最佳的帘线是由芳族聚酰胺纤维股线和尼龙纤维股线捻合的复合帘线。芳族聚酰胺纤维股线为3300/2结构;尼龙纤维股线为1880/1结构。最佳的帘线结构是6.7（A）＋4.5（N）/6.7TPI（A表示芳族聚酰胺;N表示尼龙;TPI表示每英寸捻数）。这种帘线增强层最好用于胎体增强层或胎冠增强层。

关键词：子午线航空轮胎复合帘线增强层结构

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THD Reduction for Permanent Magnet Synchronous Motor Using Simulated Annealing

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Intelligent Automation & Soft Computing 2023年第2期35卷 2325-2336页

作者： R.senthil Rama C.R.Edwin Selva Rex N.Herald Anantha Rufus J.Annrose Department of Electrical&Electronics Engineering Kalaivanar N S K College of EngineeringNagercoil629001India Department of Electrical&Electronics Engineering Vignana Bharathi Institute of TechnologyHyderabad501301India Department of Electronics and Communication Engineering Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and TechnologyChennai600062India Department of Information Technology St.Xavier’s Catholic College of EngineeringNagercoil629003India

Any nonlinear behavior of the system is analyzed by a useful way of Total Harmonic Distortion(THD)*** THD achieves lower peak current,higher efﬁciency and longer equipment life *** annealing(SA)is applied due to the effectiveness of locating solutions that are close to ideal and to challenge large-scale combinatorial optimization for Permanent Magnet Synchronous Machine(PMSM).The parameters of direct torque controllers(DTC)for the drive are automatically adjusted by the optimization *** of the PI-Fuzzy-SA algorithm are retained when used *** also improves the rate of system *** response improvement and har-monic reduction is achieved with SA-based DTC for *** mechanism is known to be faster than other ***,it is observed that as compared to other algorithms,the projected algorithm yields a reduced total harmonic *** a result of the employment of Space Vector Modulation(SVM)techni-que,the system is resistant to changes in motor speciﬁcations and load *** MATLAB&Simulink simulation,the experiment is done and the per-formance is calculated for the controller.

关键词： PMSM simulated annealing space vector modulation direct torque control THD

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