Pub Date : 2019-03-01DOI: 10.1109/ICRAECC43874.2019.8995147
Khushabu Solanke, M. Kulkarni
Majority of people uses internet and trust’s the contents over it. The scenario where anyone can bring out a survey gives an open edge to the spammer to generate fake surveys about products and services. Identification of these intruder and fake contain is a widely debated issue of research as of now tremendous amount of studies has been done till now, then also the existing work lacks behind in differentiating spam reviews and none of them gives the significant result to the collected feature type. This application uses a new structure, called NetSpam, which offers spam features to demonstrate product review data sets as heterogeneous information networks in order to design a spam review detection method in such networks. Using the importance of spam features helps us to achieve better results on review data sets with respect to different metrics. The outcomes represent that NetSpam results with the previous methods and encompassed by four categories of features: The first type of features performs better than the other categories, involving review - behavioral, user - behavioral, linguistic review and user - linguistic.
{"title":"Survey on Spam Filtering Using Netspam Framework","authors":"Khushabu Solanke, M. Kulkarni","doi":"10.1109/ICRAECC43874.2019.8995147","DOIUrl":"https://doi.org/10.1109/ICRAECC43874.2019.8995147","url":null,"abstract":"Majority of people uses internet and trust’s the contents over it. The scenario where anyone can bring out a survey gives an open edge to the spammer to generate fake surveys about products and services. Identification of these intruder and fake contain is a widely debated issue of research as of now tremendous amount of studies has been done till now, then also the existing work lacks behind in differentiating spam reviews and none of them gives the significant result to the collected feature type. This application uses a new structure, called NetSpam, which offers spam features to demonstrate product review data sets as heterogeneous information networks in order to design a spam review detection method in such networks. Using the importance of spam features helps us to achieve better results on review data sets with respect to different metrics. The outcomes represent that NetSpam results with the previous methods and encompassed by four categories of features: The first type of features performs better than the other categories, involving review - behavioral, user - behavioral, linguistic review and user - linguistic.","PeriodicalId":137313,"journal":{"name":"2019 International Conference on Recent Advances in Energy-efficient Computing and Communication (ICRAECC)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115601258","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-03-01DOI: 10.1109/ICRAECC43874.2019.8995003
Ajin R. L, P. Raghavendran, V. Surendar
This paper proposes a hybrid converter which can offer both AC and DC loads from single DC input. These topologies of the hybrid converter are formed by replacing the control switch of the boost converter with a voltage source inverter. This ensuing hybrid converter needs a lesser number of switches to produce AC and DC loads with more reliability and has shoot-through protection within the inverter operation. Such multiple output converters with higher power process density and dependability are often compatible for systems with both DC and AC loads. This Hybrid converter will overcome the shortage of standard device. We use a solar panel as a source of DC voltage which will be given to a boost converter to increase the DC voltage and is given to a hybrid device. The hybrid device can turn out both AC and DC as output. A suitable pulse width modulation (PWM) technique is used. The validity and effectiveness of the projected device and its control performance are verified by MATLAB Simulink.
{"title":"Design and Implementation of Hybrid Converter for PV System for Both AC and DC Load","authors":"Ajin R. L, P. Raghavendran, V. Surendar","doi":"10.1109/ICRAECC43874.2019.8995003","DOIUrl":"https://doi.org/10.1109/ICRAECC43874.2019.8995003","url":null,"abstract":"This paper proposes a hybrid converter which can offer both AC and DC loads from single DC input. These topologies of the hybrid converter are formed by replacing the control switch of the boost converter with a voltage source inverter. This ensuing hybrid converter needs a lesser number of switches to produce AC and DC loads with more reliability and has shoot-through protection within the inverter operation. Such multiple output converters with higher power process density and dependability are often compatible for systems with both DC and AC loads. This Hybrid converter will overcome the shortage of standard device. We use a solar panel as a source of DC voltage which will be given to a boost converter to increase the DC voltage and is given to a hybrid device. The hybrid device can turn out both AC and DC as output. A suitable pulse width modulation (PWM) technique is used. The validity and effectiveness of the projected device and its control performance are verified by MATLAB Simulink.","PeriodicalId":137313,"journal":{"name":"2019 International Conference on Recent Advances in Energy-efficient Computing and Communication (ICRAECC)","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126171852","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-03-01DOI: 10.1109/ICRAECC43874.2019.8995085
K. Adhvaryu
Expanding Ring Search (ERS) is one of the widely used concept to reduce broadcast overhead in wireless networks like mobile ad-hoc network and sensor network. ERS start its successively searching process with TTL= TTL_START and end if TTL>= TTL_THRESHOLD reaches. Based on the TTL_INCREMENT value, ERS process starts by searching successively larger areas in the network keeping the source as centered of broadcast. When TTL cross the value of TTL_THRESHOLD, network-wide broadcast is initiated. To take advantage of ERS, in this paper, we propose an optimized routing algorithm named Energy Efficient ERS (E2-ERS) which executes an efficient route discovery scheme by reducing the total number of transmissions of RREQ during route discovery process for multicast in MANET. It also compares the proposed Energy Efficient ERS with original ERS technique used by Multicast Ad-hoc On demand Distance Vector Protocol (MAODV) using various parameters like End to End Delay, Goodput and Packet Delivery Fraction for varying node speed and varied TTL_Increment values for varied number of receivers.
扩展环搜索(ERS)是在移动自组织网络和传感器网络等无线网络中广泛应用的减少广播开销的概念之一。ERS以TTL= TTL_START开始其依次搜索过程，当TTL>= TTL_THRESHOLD到达时结束。根据TTL_INCREMENT值，ERS过程首先在网络中连续搜索更大的区域，并保持源以广播为中心。当TTL值超过TTL_THRESHOLD时，发起全网广播。为了充分利用ERS的优势，本文提出了一种优化的路由算法Energy Efficient ERS (E2-ERS)，该算法通过减少路由发现过程中RREQ的传输总数，实现了一种高效的路由发现方案。它还比较了所提出的节能ERS与原始的多播自组织按需距离矢量协议(MAODV)使用的ERS技术，使用不同的参数，如端到端延迟、Goodput和分组传递分数，用于不同的节点速度和不同的TTL_Increment值，用于不同的接收器数量。
{"title":"Energy Efficient ERS for Multicast Routing in MANET","authors":"K. Adhvaryu","doi":"10.1109/ICRAECC43874.2019.8995085","DOIUrl":"https://doi.org/10.1109/ICRAECC43874.2019.8995085","url":null,"abstract":"Expanding Ring Search (ERS) is one of the widely used concept to reduce broadcast overhead in wireless networks like mobile ad-hoc network and sensor network. ERS start its successively searching process with TTL= TTL_START and end if TTL>= TTL_THRESHOLD reaches. Based on the TTL_INCREMENT value, ERS process starts by searching successively larger areas in the network keeping the source as centered of broadcast. When TTL cross the value of TTL_THRESHOLD, network-wide broadcast is initiated. To take advantage of ERS, in this paper, we propose an optimized routing algorithm named Energy Efficient ERS (E2-ERS) which executes an efficient route discovery scheme by reducing the total number of transmissions of RREQ during route discovery process for multicast in MANET. It also compares the proposed Energy Efficient ERS with original ERS technique used by Multicast Ad-hoc On demand Distance Vector Protocol (MAODV) using various parameters like End to End Delay, Goodput and Packet Delivery Fraction for varying node speed and varied TTL_Increment values for varied number of receivers.","PeriodicalId":137313,"journal":{"name":"2019 International Conference on Recent Advances in Energy-efficient Computing and Communication (ICRAECC)","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129551784","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-03-01DOI: 10.1109/ICRAECC43874.2019.8994997
Syed Viquar Ahmed, V. Kiran
In almost every area of any system, technology has been changing from the traditional style. Now a days every restaurant is using pen and paper to place the order from the customer. This is wasting a lot of time in processing the order, the time is also required for sending the order that is placed to the kitchen. As this has to be changed and a new system has to be made, the proposed system aims in designing a fully automated ordering of menu system in the restaurants by using a touch screen, RFID, Zigbee and a LCD as the major components which will provide a friendly environment to the user. The menu that a restaurant has printed will be displayed through the touch screen placed on the customer’s table wherein the customer will be able to order any item from the menu that is seen on the touch screen panel present on the table. The order is transmitted through Zigbee which is a wireless technology that is developed for need of a low power, low cost sensor network which can perform the transfer of the information from one section to the other. The aim of the proposed model is automation, reducing power consumption, man power, and delay and also reducing the cost.
{"title":"Touch Screen Based Restaurant Automation System Using Zigbee","authors":"Syed Viquar Ahmed, V. Kiran","doi":"10.1109/ICRAECC43874.2019.8994997","DOIUrl":"https://doi.org/10.1109/ICRAECC43874.2019.8994997","url":null,"abstract":"In almost every area of any system, technology has been changing from the traditional style. Now a days every restaurant is using pen and paper to place the order from the customer. This is wasting a lot of time in processing the order, the time is also required for sending the order that is placed to the kitchen. As this has to be changed and a new system has to be made, the proposed system aims in designing a fully automated ordering of menu system in the restaurants by using a touch screen, RFID, Zigbee and a LCD as the major components which will provide a friendly environment to the user. The menu that a restaurant has printed will be displayed through the touch screen placed on the customer’s table wherein the customer will be able to order any item from the menu that is seen on the touch screen panel present on the table. The order is transmitted through Zigbee which is a wireless technology that is developed for need of a low power, low cost sensor network which can perform the transfer of the information from one section to the other. The aim of the proposed model is automation, reducing power consumption, man power, and delay and also reducing the cost.","PeriodicalId":137313,"journal":{"name":"2019 International Conference on Recent Advances in Energy-efficient Computing and Communication (ICRAECC)","volume":"54 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114101831","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-03-01DOI: 10.1109/ICRAECC43874.2019.8995030
M. Anandaraj, K. Selvaraj, P. Ganeshkumar, K. Vijayakumar
Network coding is promising alternative to traditional content distribution system in P2P networks. The block scheduling problem in P2P network is simplified, since intermediate node to perform randomized block selection for arbitrary information mixture, resulting in more efficient content dissemination in P2P network. Traditionally it is performed by random pick and code mechanisms where the packets are chosen randomly for generating the coded packets. After generating the coded packets, it will be sent to their neighboring peers in the network. These packets are called as redundant packet or non innovative packet if it’s not useful to those peers. Existing network code based content distribution mechanisms didn’t address the problem of reducing the number of redundant coded packets transmission. Hence it increases the number of information flow in the network code based content distribution and makes the network congested. In this paper, an efficient packet selection mechanism, called as Intelligent Packet Coding (IPC) is developed. It improves the efficiency of a network code based content distribution in P2P network further. Each peer in the network can do the intelligent network coding operation with the help of distribution table. This table is created by source node based on the set of packets send to each peers in the group and get updated for each reception/transmission of the coded packets to and from other peers. NS2 simulator is used to simulate the proposed mechanism. Simulation result shows that IPC outperforms the traditional method of network coding in terms time required to download entire content by all the peers in the network and improves the throughput.
{"title":"Intelligent Packet Coding - Intelligent Selection of Packets for Network Code based Content Distribution in P2P network","authors":"M. Anandaraj, K. Selvaraj, P. Ganeshkumar, K. Vijayakumar","doi":"10.1109/ICRAECC43874.2019.8995030","DOIUrl":"https://doi.org/10.1109/ICRAECC43874.2019.8995030","url":null,"abstract":"Network coding is promising alternative to traditional content distribution system in P2P networks. The block scheduling problem in P2P network is simplified, since intermediate node to perform randomized block selection for arbitrary information mixture, resulting in more efficient content dissemination in P2P network. Traditionally it is performed by random pick and code mechanisms where the packets are chosen randomly for generating the coded packets. After generating the coded packets, it will be sent to their neighboring peers in the network. These packets are called as redundant packet or non innovative packet if it’s not useful to those peers. Existing network code based content distribution mechanisms didn’t address the problem of reducing the number of redundant coded packets transmission. Hence it increases the number of information flow in the network code based content distribution and makes the network congested. In this paper, an efficient packet selection mechanism, called as Intelligent Packet Coding (IPC) is developed. It improves the efficiency of a network code based content distribution in P2P network further. Each peer in the network can do the intelligent network coding operation with the help of distribution table. This table is created by source node based on the set of packets send to each peers in the group and get updated for each reception/transmission of the coded packets to and from other peers. NS2 simulator is used to simulate the proposed mechanism. Simulation result shows that IPC outperforms the traditional method of network coding in terms time required to download entire content by all the peers in the network and improves the throughput.","PeriodicalId":137313,"journal":{"name":"2019 International Conference on Recent Advances in Energy-efficient Computing and Communication (ICRAECC)","volume":"194 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133078614","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-03-01DOI: 10.1109/ICRAECC43874.2019.8995027
M. Chewale, Prachi Sungare, V. Savakhande, Akash Kamble, Shivkant Keripale, Someshwar Ambi
This paper provides the information about the analyzing techniques for condition supervising of power transformer (PT). This paper deals with the practical importance of the transformer analysis in the electrical engineering field. Also, it is very important to prevent failures and detect problems as early as possible, because the power transformers in power substations having high cost and critical in nature. To provide an early warning of potential failure some analysis and supervising tests and equipment available to assess the condition of transformers.
{"title":"Analyzing and Supervising of Transformer-A Review","authors":"M. Chewale, Prachi Sungare, V. Savakhande, Akash Kamble, Shivkant Keripale, Someshwar Ambi","doi":"10.1109/ICRAECC43874.2019.8995027","DOIUrl":"https://doi.org/10.1109/ICRAECC43874.2019.8995027","url":null,"abstract":"This paper provides the information about the analyzing techniques for condition supervising of power transformer (PT). This paper deals with the practical importance of the transformer analysis in the electrical engineering field. Also, it is very important to prevent failures and detect problems as early as possible, because the power transformers in power substations having high cost and critical in nature. To provide an early warning of potential failure some analysis and supervising tests and equipment available to assess the condition of transformers.","PeriodicalId":137313,"journal":{"name":"2019 International Conference on Recent Advances in Energy-efficient Computing and Communication (ICRAECC)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123673404","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-03-01DOI: 10.1109/ICRAECC43874.2019.8994967
M. Shahina, Hema S. Mahesh
Nephrolithiasis, is a type of kidney disease where a mass of tissue forms in the urinary tract. These are known as kidney stones and they usually leave the body through the urine stream. Some non-symptomatic cases occur where the stone may be too small and never causes a problem. As the size increases gradually, particularly when the stone goes unnoticed, it may pose health problems such as severe back pain and abdominal pain. Due to the increase in the amount of some minerals these stones are formed in one or both of the kidneys. Timely treatment of the kidney stones rarely cause any problems. These stones are of various sizes and shapes. The size ranges from as small as a sand particle to as big as a pea. Unusual cases have also been reported where the size could go up to the size of golf balls. Urine analysis and radiographic studies are helpful in the kidney stone diagnosis. Location and the severity of the pain aides in the clinical diagnosis. Thus, detection and analysis of kidney stone is an important aspect in the diagnosis of kidney stone diseases. The location and size of the kidney stone is done using GAC segmentation in addition to feature extraction and morphological operations.
{"title":"Renal Stone Detection and Analysis by Contour Based Algorithm","authors":"M. Shahina, Hema S. Mahesh","doi":"10.1109/ICRAECC43874.2019.8994967","DOIUrl":"https://doi.org/10.1109/ICRAECC43874.2019.8994967","url":null,"abstract":"Nephrolithiasis, is a type of kidney disease where a mass of tissue forms in the urinary tract. These are known as kidney stones and they usually leave the body through the urine stream. Some non-symptomatic cases occur where the stone may be too small and never causes a problem. As the size increases gradually, particularly when the stone goes unnoticed, it may pose health problems such as severe back pain and abdominal pain. Due to the increase in the amount of some minerals these stones are formed in one or both of the kidneys. Timely treatment of the kidney stones rarely cause any problems. These stones are of various sizes and shapes. The size ranges from as small as a sand particle to as big as a pea. Unusual cases have also been reported where the size could go up to the size of golf balls. Urine analysis and radiographic studies are helpful in the kidney stone diagnosis. Location and the severity of the pain aides in the clinical diagnosis. Thus, detection and analysis of kidney stone is an important aspect in the diagnosis of kidney stone diseases. The location and size of the kidney stone is done using GAC segmentation in addition to feature extraction and morphological operations.","PeriodicalId":137313,"journal":{"name":"2019 International Conference on Recent Advances in Energy-efficient Computing and Communication (ICRAECC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129988732","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-03-01DOI: 10.1109/ICRAECC43874.2019.8994994
S. Kumar, Ajay Kumar H, A. Fred, V. Suresh, W. Abisha, G. Brenda
This work proposes Group method Data Handling (GMDH) neural network for the segmentation of liver and liver tumor on abdomen CT images. The structure of the GMDH neural network is automatically structured using heuristic self-organization. Prior to segmentation, Nonlinear Tensor Diffusion (NLTD) filter was used for the preprocessing of input images. Feature extraction was performed by first order statistics and local binary pattern. The parameters of neural network like the number of useful input variables, the number of neurons in each layer and the selection of optimum neural network architecture are determined by using the error criterion derived from AIC (Akaike’s Information Criterion). The performance of the GMDH algorithm was evaluated by success and error rates, similarity measures and the results outperform the back propagation neural network algorithm. The algorithms are developed in Matlab 2013a and tested on real time abdomen CT datasets. The satisfactory results were obtained by GMDH algorithm and are useful for computer aided diagnosis of liver cancer.
本文提出了分组方法数据处理(GMDH)神经网络对腹部CT图像中的肝脏和肝脏肿瘤进行分割。采用启发式自组织方法自动构造GMDH神经网络结构。在分割之前，使用非线性张量扩散(NLTD)滤波器对输入图像进行预处理。利用一阶统计量和局部二值模式进行特征提取。神经网络的参数，如有用输入变量的数量、每层神经元的数量以及最优神经网络结构的选择，都是由赤池信息准则(Akaike’s Information criterion, AIC)导出的误差准则确定的。通过成功率、错误率、相似度指标对GMDH算法的性能进行了评价，结果优于反向传播神经网络算法。算法在Matlab 2013a中开发，并在实时腹部CT数据集上进行了测试。GMDH算法得到了满意的结果，对肝癌的计算机辅助诊断有一定的指导意义。
{"title":"Group Method Data Handling Neural Network for CT Abdomen Image Segmentation based on First Order Statistics and Local Binary Pattern","authors":"S. Kumar, Ajay Kumar H, A. Fred, V. Suresh, W. Abisha, G. Brenda","doi":"10.1109/ICRAECC43874.2019.8994994","DOIUrl":"https://doi.org/10.1109/ICRAECC43874.2019.8994994","url":null,"abstract":"This work proposes Group method Data Handling (GMDH) neural network for the segmentation of liver and liver tumor on abdomen CT images. The structure of the GMDH neural network is automatically structured using heuristic self-organization. Prior to segmentation, Nonlinear Tensor Diffusion (NLTD) filter was used for the preprocessing of input images. Feature extraction was performed by first order statistics and local binary pattern. The parameters of neural network like the number of useful input variables, the number of neurons in each layer and the selection of optimum neural network architecture are determined by using the error criterion derived from AIC (Akaike’s Information Criterion). The performance of the GMDH algorithm was evaluated by success and error rates, similarity measures and the results outperform the back propagation neural network algorithm. The algorithms are developed in Matlab 2013a and tested on real time abdomen CT datasets. The satisfactory results were obtained by GMDH algorithm and are useful for computer aided diagnosis of liver cancer.","PeriodicalId":137313,"journal":{"name":"2019 International Conference on Recent Advances in Energy-efficient Computing and Communication (ICRAECC)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130100024","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-03-01DOI: 10.1109/ICRAECC43874.2019.8995130
R. Ruchita, Rajnish Kumar, Ramesh Kumar, Kanchan Sharma
The work proposed in this paper is study of cost function/error function in addition to different topologies of the optimizer like FFO, ACO, PSO to find an optimum PID for the AVR system. The system parameters depend on selected cost function and the optimizer ability to explore the search space. After setting the cost function and the parameters of optimizer, the well-known metaheuristic method has been applied in order to obtain the parameters of PID controller optimally. The closed loop PID consists of a generator, voltage sensor, amplifier and exciter. The whole system, which includes PID called as the AVR. The objective of the design technique proposed in this paper is to achieve high performance voltage control of the generator. The PID controlled system performance is examined by evaluating the step response characteristics. Upon comparing performances of PID controller using ACO, PSO, and FFO techniques it has been concluded that FFO-PID method is not only efficient, but also robust in improving the step response of an AVR system.
{"title":"Comparative Analysis of Optimization Techniques for Controlling an AVR System","authors":"R. Ruchita, Rajnish Kumar, Ramesh Kumar, Kanchan Sharma","doi":"10.1109/ICRAECC43874.2019.8995130","DOIUrl":"https://doi.org/10.1109/ICRAECC43874.2019.8995130","url":null,"abstract":"The work proposed in this paper is study of cost function/error function in addition to different topologies of the optimizer like FFO, ACO, PSO to find an optimum PID for the AVR system. The system parameters depend on selected cost function and the optimizer ability to explore the search space. After setting the cost function and the parameters of optimizer, the well-known metaheuristic method has been applied in order to obtain the parameters of PID controller optimally. The closed loop PID consists of a generator, voltage sensor, amplifier and exciter. The whole system, which includes PID called as the AVR. The objective of the design technique proposed in this paper is to achieve high performance voltage control of the generator. The PID controlled system performance is examined by evaluating the step response characteristics. Upon comparing performances of PID controller using ACO, PSO, and FFO techniques it has been concluded that FFO-PID method is not only efficient, but also robust in improving the step response of an AVR system.","PeriodicalId":137313,"journal":{"name":"2019 International Conference on Recent Advances in Energy-efficient Computing and Communication (ICRAECC)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122723665","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-03-01DOI: 10.1109/ICRAECC43874.2019.8994970
M. Subaasri, T. Aruna, T. Cynthia Anbuselvi
Cognitive Radio (CR) has been identified as one of the intelligent solution for Smart Grid (SG) network to transmit Giga-byte data over diverse environments and distribute the electricity to the customers. The basic principle adopted in CR based smart grid network to enhance the performance is effectively utilizing the unused spectrum. To improve the reward function a clustering based Fair Channel Allocation (FCA) algorithm among Secondary Users (SU) has been proposed in this paper. By efficiently allocating the channels among the secondary users, the user and channel rewards can be improved. Analytical equations have been developed for the performance parameters such as user reward, channel reward and Jain’s fairness index which has been simulated using MATLAB R2014b.
{"title":"Performance Enhancement of Cognitive Radio Based Smart Grid","authors":"M. Subaasri, T. Aruna, T. Cynthia Anbuselvi","doi":"10.1109/ICRAECC43874.2019.8994970","DOIUrl":"https://doi.org/10.1109/ICRAECC43874.2019.8994970","url":null,"abstract":"Cognitive Radio (CR) has been identified as one of the intelligent solution for Smart Grid (SG) network to transmit Giga-byte data over diverse environments and distribute the electricity to the customers. The basic principle adopted in CR based smart grid network to enhance the performance is effectively utilizing the unused spectrum. To improve the reward function a clustering based Fair Channel Allocation (FCA) algorithm among Secondary Users (SU) has been proposed in this paper. By efficiently allocating the channels among the secondary users, the user and channel rewards can be improved. Analytical equations have been developed for the performance parameters such as user reward, channel reward and Jain’s fairness index which has been simulated using MATLAB R2014b.","PeriodicalId":137313,"journal":{"name":"2019 International Conference on Recent Advances in Energy-efficient Computing and Communication (ICRAECC)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131515032","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：