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switching angle optimization and fault analysis of a multistring-multilevel inverter for renewable-energy-source applications

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Clean Energy 2022年第6期6卷 907-930页

作者： savitha M s.Nagaraja Rao Ms Ramaiah University of Applied sciences Department of Electrical EngineeringBangaloreIndia

in this paper,a multistring-multilevel inverter(M-MLi)for renewable-energy-source applications has been proposed with reduced switch count and harmonics along with single-switch fault analysis for various *** requires only‘m+1’power switches for‘m’voltage *** proposed work achieves the fine-tuning of switching angles using a metaheuristic technique,*** teaching-learning-based optimization algorithm(TLBOA),to mitigate the total harmonic distortion(THD)of the ***,the proposed TLBOA has been compared with conventional modulation techniques such as equal phase(EP),half-equal phase(HEP),near-level control(NLC)and Newton-Raphson(NR)to verify the effectiveness of TLBOA for various voltage levels in terms of%voltage-THD(%V-THD),computational time and *** fine-tuning the switching angles,the%V-THD is improved significantly when compared with EP,HEP,NLC and NR modulation *** an 11-level single-phase M-MLi,the%V-THD using TLBOA at 0.91 modulation index(Mi)is 5.051%.The lower-order harmonics,i.e.5,7,11 and 13,are eliminated to improve the power ***,MLis are often prone to failure,resulting in waveform *** extreme reduction in power quality impacts the load and significant damage is *** location of the open-circuit fault to be identified becomes more tedious under the faulty conditions with increased switch counts and voltage levels since the mathematical modelling fails to address the scenario in less computational ***,the machine-learning approach,*** vector machine(sVM)with Bayesian optimization,has been discussed to locate the faulty ***,the proposed M-MLi configuration has been modelled,simulated and validated using MATLAB®and simulink®.The results of the M-MLi configuration have been verified for 7,9 and 11 levels using TLBOA along with fault analysis using the sVM approach.

关键词： TLBO fault resilience multistring-multilevel inverters renewable-energy applications

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A study on rainfall,runoff,and soil loss relations at different landuses-A case in Hilkot watershed in Pakistan

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international Journal of sediment Research 2012年第3期27卷 388-393页

作者： ZOKAiB s. NAsER Gh. University of British Columbia

Reliable field data for all hydrologic parameters are often unavailable for watersheds even for those intensively *** the absence of reliable such data,verified mathematical relations for an area can be used for other areas with same hydrologic and climatic *** objectives of this research were:1) to assess the total runoff and sediment loss,and 2) to develop rainfall,runoff and soil loss relations for four prominent landuses(including degraded,pasture,forest and agriculture lands) in the Hilkot watershed(Pakistan).Four experimental natural runoff plots were established on the landuses (degraded,pasture,forest and agriculture land).The field study and data collection were conducted in the Hilkot watershed from 1999 to *** analysis was conducted to establish relations among rainfall,runoff and soil loss for all landuses *** analysis indicated good correlation with field data.

关键词： Rainfall Runoff soil Loss Landuse impact Regression Model

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Use of self-organizing suppression and q-Gaussian mutation in artificial immune systems

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international Journal of intelligent Computing and Cybernetics 2013年第3期6卷 296-322页

作者： Helder Ken shimo Renato Tinòs Department of Computing and Mathematics University of Sa˜o PauloSa˜o PauloBrazil

Purpose-The purpose of this paper is to propose two operators for diversity and mutation control in artificial immune systems(Aiss).Design/methodology/approach-The proposed operators are applied in substitution to the suppression and mutation operators used in *** proposed mechanisms were tested in the opt-aiNet,a continuous optimization algorithm inspired in the theories of *** traditional opt-aiNet uses a suppression operator based on the immune network principles to remove similar cells and add random ones to control the diversity of the *** procedure is computationally expensive,as the Euclidean distances between every possible pair of candidate solutions must be *** work proposes a self-organizing suppression mechanism inspired by the self-organizing criticality(sOC)phenomenon,which is less dependent on parameter *** work also proposes the use of the q-Gaussian mutation,which allows controlling the form of the mutation distribution during the optimization *** algorithms were tested in a well-known benchmark for continuous optimization and in a bioinformatics problem:the rigid docking of ***-The proposed suppression operator presented some limitations in unimodal functions,but some interesting results were found in some highly multimodal *** proposed q-Gaussian mutation presented good performance in most of the test cases of the benchmark,and also in the docking ***/value-First,the self-organizing suppression operator was able to reduce the complexity of the suppression stage in the ***,the use of q-Gaussian mutation in Aiss presented better compromise between exploitation and exploration of the search space and,as a consequence,a better performance when compared to the traditional Gaussian mutation.

关键词： Artificial immune system Evolutionary computation self-adjusting systems

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A Rule-Based Approach for Grey Hole Attack Prediction in Wireless sensor Networks

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intelligent Automation & soft Computing 2023年第3期35卷 3815-3827页

作者： C.Gowdham s.Nithyanandam Department of Computer science and Engineering PRIST Deemed to be UniversityThanjavur613403TamilnaduIndia

The Wireless sensor Networks(WsN)are vulnerable to assaults due to the fact that the devices connected to them have a reliable connection to the inter-net.A malicious node acts as the controller and uses a grey hole attack to get the data from all of the other nodes in the ***,the nodes are dis-carding and modifying the data packets according to the requirements of the *** assault modiﬁes the fundamental concept of the WsNs,which is that different devices should communicate with one *** the proposed system,there is a fuzzy idea offered for the purpose of preventing the grey hole attack from making effective communication among the WsN *** currently available model is unable to recognise the myriad of different kinds of *** fuzzy engine identiﬁed suspicious actions by utilising the rules that were gen-erated to make a prediction about the malicious node that would halt the *** conducted using simulation are used to determine delay,accuracy,energy consumption,throughput,and the ratio of packets successfully *** stands in contrast to the model that was suggested,as well as the methodologies that are currently being used,and analogue behavioural *** comparison to the existing method,the proposed model achieves an accuracy rate of 45 per-cent,a packet delivery ratio of 79 percent,and a reduction in energy usage of around 35.6 *** results from the simulation demonstrate that the fuzzy grey detection technique that was presented has the potential to increase the net-work’s capability of detecting grey hole assaults.

关键词： Attack prediction grey hole wireless sensor networks rule-based model grey attack

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Coverage Modeling and Reliability Analysis Using Multi-state Function

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international Journal of Automation and computing 2007年第4期4卷 380-387页

作者： s.Prabhudeva A.K.Verma Department of Electrical Engineering Indian Institute of Technology BombayMumbai 400076India

Fault tree analysis is an effective method for predicting the reliability of a system. it gives a pictorial representation and logical framework for analyzing the reliability. Also, it has been used for a long time as an effective method for the quantitative and qualitative analysis of the failure modes of critical systems. in this paper, we propose a new general coverage model （GCM） based on hardware independent faults. Using this model, an effective software tool can be constructed to detect, locate and recover fault from the faulty system. This model can be applied to identify the key component that can cause the failure of the system using failure mode effect analysis （FMEA）.

关键词： Fault tree fault type fault diagnosis fault recovery coverage model Markov chain reliability unreliability.

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DEPTH-AVERAGED 2-D CALCULATiON OF FLOW AND sEDiMENT TRANsPORT iN CURVED CHANNELs

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international Journal of sediment Research 2004年第4期19卷 241-257页

作者： sam s. Y. WANG Director Distinguished Professor Ms 38677 National Center for Computational Hydroscience and Engineering The University of Mississippi UsA

The helical flow significantly affects the flow, sediment transport and morphological evolution in curved channels. A semi-empirical formula is proposed to determine the cross-stream distribution of the helical flow intensity in the developed regions of a channel bend. it is then used to evaluate the dispersion terms in the depth-averaged 2-D momentum equations and suspended-load transport equation as well as the bed-load transport angle, thus enhancing the depth-averaged 2-D model to account for the effect of helical flow. The tests in several experimental and field cases show that the enhanced depth-averaged 2-D model can much more reasonably predict the shifting of main flow from inner bank to outer bank, the erosion along outer bank and deposition along inner bank than the depth-averaged 2-D model without considering this effect.

关键词： secondary flow Channel bends Dispersion Unsteady flow sediment transport Two- dimensional model Finite volume method

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Novel ARC-Fuzzy Coordinated Automatic Tracking Control of Four-Wheeled Mobile Robot

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intelligent Automation & soft Computing 2023年第3期35卷 3713-3726页

作者： G.Pandiaraj s.Muralidharan Department of EEE Mepco Schelenk Engineering CollegeSivakasi626005India

Four-wheeled,individual-driven,nonholonomic structured mobile robots are widely used in industries for automated work,inspection and explora-tion *** trajectory tracking control of the four-wheel individual-driven mobile robot is one of the most blooming research topics due to its nonholonomic *** wheel velocities are separately adjusted to follow the trajectory in the old-fashioned kinematic control of skid-steered mobile ***,there is no consideration for robot dynamics when using a kinematic controller that solely addresses the robot chassis’s *** a result,the mobile robot has lim-ited performance,such as chattering during curved *** this research work,a three-tiered adaptive robust control with fuzzy parameter estimation,including dynamic modeling,direct torque control and wheel slip control is *** logic-based parameter estimation is a valuable tool for adjusting adaptive robust controller(ARC)parameters and tracking the trajectories with less tracking error as well as high tracking *** research considers the O type and 8 type trajectories for performance analysis of the proposed novel control *** suggested approach outperforms the existing control methods such as Fuzzy,proportional–integral–derivative(PiD)and adaptive robust controller with discrete projection(ARC–DP).The experimental results show that the scheduled performance index decreases by 2.77%and 4.76%.All the experimen-tal simulations obviously proved that the proposed ARC-Fuzzy performed well in smooth groud surfaces compared to other approaches.

关键词： Adaptive robust control coordinated control mobile robot fuzzy adaptation law fuzzy parameter adjustment direct torque allocation

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Federated Blockchain Model for Cyber intrusion Analysis in smart Grid Networks

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intelligent Automation & soft Computing 2023年第5期36卷 2129-2143页

作者： N.sundareswaran s.sasirekha Department of information Technology Sri Sivasubramaniya Nadar College of EngineeringChennai603110India

smart internet of things(ioT)devices are used to manage domestic and industrial energy needs using sustainable and renewable energy *** to cyber inﬁltration and a lack of transparency,the traditional transaction process is inefﬁcient,unsafe and *** grid systems are now efﬁcient,safe and transparent owing to the development of blockchain(BC)technology and its smart contract(sC)*** this study,federated learning extreme gradient boosting(FL-XGB)framework has been developed along with BC to learn the intrusion inside the smart energy *** is best suited for a decentralized BC-enabled system to adapt learning models for trustworthy and reliable *** features and attributes of the Third international Knowledge Discov-ery and Data mining Tools Competition(KDD Cup 1999)dataset have been used in this study to perform experimental *** likelihood of intrusions in the network is mathematically *** participant nodes run the BC based FL-smart Contract(sC)algorithms to detect network *** provided aggre-gated learning results from the experiment that was 99%accurate in predicting network *** experimentally determined block storage gain and retrieval gain were 97.5%and 95.4%*** intrusion in the smart grid network was evaluated,and the data indicated that there was 1.2%illegal ***-over,the learning system’s accuracy,retrieval and storage intrusions,legal access and transaction processing times were considered for *** proposed system outperformed contemporary research-developed systems targeted for the same ***,this study provides a guaranteed intrusion learning system and secure transaction system for smart grids.

关键词： Blockchain federated learning system intrusion detection internet of things smart grids

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Endoscopic ultrasound-guided techniques for diagnosing pancreatic mass lesions: Can we do better?

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World Journal of Gastroenterology 2016年第39期22卷 8658-8669页

作者： Andrew C storm Linda s Lee Division of Gastroenterology Hepatology and Endoscopy Brigham and Women’s Hospital Harvard Medical School

The diagnostic approach to a possible pancreatic mass lesion relies first upon various non-invasive imaging modalities, including computed tomography, ultrasound, and magnetic resonance imaging techniques. Once a suspect lesion has been identified, tissue acquisition for characterization of the lesion is often paramount in developing an individualized therapeutic approach. Given the high prevalence and mortality associated with pancreatic cancer, an ideal approach to diagnosing pancreatic mass lesions would be safe, highly sensitive, and reproducible across various practice settings. Tools, in addition to radiologic imaging, currently employed in the initial evaluation of a patient with a pancreatic mass lesion include serum tumor markers, endoscopic retrograde cholangiopancreatography, and endoscopic ultrasound-guided fine needle aspiration(EUs-FNA). EUs-FNA has grown to become the gold standard in tissue diagnosis of pancreatic lesions.

关键词： Endoscopic ultrasound Fine needle aspiration Pancreatic cancer Pancreatic mass Endoscopy

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sDN-based dynamic resource management and scheduling for cognitive industrial ioT

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international Journal of intelligent Computing and Cybernetics 2022年第3期15卷 425-437页

作者： s.Chandramohan M.senthilkumaran ECE Sri Chandrasekharendra Saraswathi Vishwa MahavidyalayaKanchipuramIndia CsE Sri Chandrasekharendra Saraswathi Vishwa MahavidyalayaKanchipuramIndia

Purpose-in recent years,it is imperative to establish the structure of manufacturing industry in the context of smart *** to rising demand for exchange of information with various devices,and huge number of sensor nodes,the industrial wireless networks(iWNs)face network congestion and inefficient task *** this purpose,software-defined network(sDN)is the emerging technology for iWNs,which is integrated into cognitive industrial internet of things for dynamic task scheduling in the context of industry ***/methodology/approach-in this paper,the authors present sDN based dynamic resource management and scheduling(DRMs)for effective devising of the resource utilization,scheduling,and hence successful transmission in a congested ***,the earliest deadline first(EDF)algorithm is introduced in authors’proposed work for the following criteria’s to reduce the congestion in the network and to optimize the packet ***-The result shows that the proposed work improves the success ratio versus resource usage probability and number of nodes versus successful joint *** last,the proposed method outperforms the existing myopic algorithms in terms of query response time,energy consumption and success ratio(packet delivery)versus number of increasing nodes,***/value-The authors proposed a priority based scheduling between the devices and it is done by the EDF ***,the proposed work reduces the network delay time and minimizes the overall energy efficiency.

关键词： sDN EDF industry 4.0 ioT Task scheduling Myopic

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