2019 IEEE International Conference on Intelligent Techniques in Control, Optimization and Signal Processing (INCOS)最新文献

筛选
英文 中文
Comparative Study on Data Compression Techniques in Cache to Promote Performance 基于缓存的数据压缩技术的比较研究
G. Kesavan, A. S. Kumar
{"title":"Comparative Study on Data Compression Techniques in Cache to Promote Performance","authors":"G. Kesavan, A. S. Kumar","doi":"10.1109/INCOS45849.2019.8951324","DOIUrl":"https://doi.org/10.1109/INCOS45849.2019.8951324","url":null,"abstract":"Cache memory is a small, faster memory used to store recently accessed data or neighboring data item, so that the data need not be acquired from next level memories. The use of cache memory reduces the overall memory access time. As cache memory is related to memory speeding up process, the caching process should consume less time. To speed up caching process, there are many cache optimizations available. Some of the cache optimization process are reducing miss rate, reducing miss penalty, reducing the time to hit in the cache etc. Recent advancement paved way for compressing data in cache. Through data compression in cache more data resides in cache resulting in more hit ratio. There are many cache related compression and optimization techniques available. The paper deals with some recent techniques of compression.","PeriodicalId":327609,"journal":{"name":"2019 IEEE International Conference on Intelligent Techniques in Control, Optimization and Signal Processing (INCOS)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116904529","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}
引用次数: 0
Cyber Security for Smart Meters 智能电表的网络安全
V. Dhanesh Menon, J. Trilok Kumar, M. Sabhanayagan, A. Ramkumar, K. Rajesh
{"title":"Cyber Security for Smart Meters","authors":"V. Dhanesh Menon, J. Trilok Kumar, M. Sabhanayagan, A. Ramkumar, K. Rajesh","doi":"10.1109/INCOS45849.2019.8951407","DOIUrl":"https://doi.org/10.1109/INCOS45849.2019.8951407","url":null,"abstract":"Over the year’s cyber threats on smart meters has become vulnerable to grid. This paper is proposed to prevent a cyber-attack on smart grids and smart meters. The most unguarded part of smart grids are smart meters. The main Contribution of this project is to finding out various forms of cyber-attacks on smart meters. Nowadays the smart meter involves two-way communication thus the real time values can be monitored and controlled from the substation. The voltage sensors and current sensors in the smart meter will continuously read the real time values and sends the analog values to the microcontroller present in the smart meter. The microcontroller calculates the power output and the rate tariff from the units consumed. Now the calculated output values are uploaded to the IoT cloud by means of communication module. From the IoT cloud the values can be monitored in the substation. Now the ANN protocol will repeatedly overseer the above process and will intimidate if any cyber-attack has occurred. Now after getting the alert message from the ANN the substation in charge will trip off the respective relay of the consumer.","PeriodicalId":327609,"journal":{"name":"2019 IEEE International Conference on Intelligent Techniques in Control, Optimization and Signal Processing (INCOS)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126064474","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}
引用次数: 0
Enhanced Map Reduce Techniques for Big Data Analytics based on K-Means Clustering 基于k均值聚类的大数据分析增强Map约简技术
S. Dhanasekaran, R. Sundarrajan, B. Murugan, S. Kalaivani, V. Vasudevan
{"title":"Enhanced Map Reduce Techniques for Big Data Analytics based on K-Means Clustering","authors":"S. Dhanasekaran, R. Sundarrajan, B. Murugan, S. Kalaivani, V. Vasudevan","doi":"10.1109/INCOS45849.2019.8951368","DOIUrl":"https://doi.org/10.1109/INCOS45849.2019.8951368","url":null,"abstract":"The Clustering methods have been greatly adopted in various real world data analysis applications, such as customer behavior analysis, medical data analysis, digital forensics, etc. In existing system, MR-mafia subspace clustering algorithm becomes inefficient as well as ineffective because the data size are continuously increasing, and data blocks are overlaying. Big Data environment inherits several knowledge and we extracts the necessary knowledge and K-means clustering algorithm is being designed. This paper focused on K – mean clustering algorithm based on improved map reduce techniques. The algorithm takes advantages to avoid unnecessary input and output data and also used to optimize data storage and also to achieve the out sourcing of data privacy. We have using a medical datasets of this project, and Enhanced map reduce based K – means clustering algorithm have been proposed which work effectively done and that can be outsourced to cloud server.","PeriodicalId":327609,"journal":{"name":"2019 IEEE International Conference on Intelligent Techniques in Control, Optimization and Signal Processing (INCOS)","volume":"102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123537494","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}
引用次数: 4
Waveform Coding Techniques in Large Scale Antenna Systems 大规模天线系统中的波形编码技术
G. Indumathi, A.V. Veera Sivagami Pandi
{"title":"Waveform Coding Techniques in Large Scale Antenna Systems","authors":"G. Indumathi, A.V. Veera Sivagami Pandi","doi":"10.1109/INCOS45849.2019.8951431","DOIUrl":"https://doi.org/10.1109/INCOS45849.2019.8951431","url":null,"abstract":"Scale Antenna System consist of several number of antennas and are used at the transmitter side as well as the receiver side to reduce interferences for obtaining low Bit Error Rate (BER) and high throughput of the signals during transmissions. In Large Scale Antenna Systems, an increased Cell Sites will reduces the interferences for obtaining high throughput of the signals. The Cell Sites consists of many number of antennas which transmits and receives the signals are placed at the fixed place and are used to communicate with the users or mobile phones. The better spectral containment per subcarrier can be achieved with the help of Filter Bank Multi Carrier (FBMC) technique. The cyclic prefix will not be used in FBMC, and so it increases the bandwidth efficiency. The aim of this system is to increase the throughput and to decrease the Bit Error Rate (BER) of the signals of FBMC technique in Large Scale Antenna System using different detection methods. The detection methods used in our proposed system are Maximal Ratio Combining, Zero Forcing.","PeriodicalId":327609,"journal":{"name":"2019 IEEE International Conference on Intelligent Techniques in Control, Optimization and Signal Processing (INCOS)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127880945","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}
引用次数: 0
Smart Pest Control System in Agriculture 智能农业害虫控制系统
B. Vijayalakshmi, C. Ramkumar, S. Niveda, S. Pandian
{"title":"Smart Pest Control System in Agriculture","authors":"B. Vijayalakshmi, C. Ramkumar, S. Niveda, S. Pandian","doi":"10.1109/INCOS45849.2019.8951351","DOIUrl":"https://doi.org/10.1109/INCOS45849.2019.8951351","url":null,"abstract":"Pest attack is one of the major problems that the world faces. The major issue faced by the farmers in pest attack is that the infection cannot be detected in early stage when done manually. It in turn causes the spread of disease rapidly and leads to huge loss to the farmers. Until pest attack is done manually this huge loss cannot be controlled. This work aims in the detection of pest attack at the initial stage. This paper proposes a system for detecting the pest attack and intimating the farmer about the infection automatically. This process is aided by the temperature and humidity sensor which is interfaced with Raspberry pi-3B to check the level of temperature and humidity in the atmosphere. When the temperature and humidity value exceeds the threshold value then the images of the plant is captured and compared with the healthy image. Raspberry pi is used to process all the obtained parameters. In case all the parameters such as temperature and humidity exceeds the predetermined level and the image obtained from the camera does not match with the healthy leaf, then the obtained real time values are compared with the database to identify the affected leaf and to alert the farmer through the GSM module.","PeriodicalId":327609,"journal":{"name":"2019 IEEE International Conference on Intelligent Techniques in Control, Optimization and Signal Processing (INCOS)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131383604","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}
引用次数: 2
Design of 31-level Asymmetric Inverter with Optimal Number of Switches 具有最优开关数的31电平非对称逆变器设计
G. Raman, A. Imthiyas, M. D. Raja, L. Vijayaraja, S. G. Kumar
{"title":"Design of 31-level Asymmetric Inverter with Optimal Number of Switches","authors":"G. Raman, A. Imthiyas, M. D. Raja, L. Vijayaraja, S. G. Kumar","doi":"10.1109/INCOS45849.2019.8951354","DOIUrl":"https://doi.org/10.1109/INCOS45849.2019.8951354","url":null,"abstract":"In this paper, 31-level asymmetric inverter is designed using optimal number of switches which produces higher output voltage levels with low harmonic distortion. The voltage sources used in this multilevel inverter is asymmetric in nature to generate output voltage with reduced distortion. By using six asymmetric voltage sources and 10 switches, 31-level inverter is simulated and the results of the inverter topology are studied in view of reduced harmonic components.","PeriodicalId":327609,"journal":{"name":"2019 IEEE International Conference on Intelligent Techniques in Control, Optimization and Signal Processing (INCOS)","volume":"141 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130132047","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}
引用次数: 4
Detection of Infectious Disease using Non-Invasive Logistic Regression Technique 非侵入性Logistic回归技术在传染病检测中的应用
Anirudhh Ravi, V. Gopal, J. Preetha Roselyn, D. Devaraj, Pranav Chandran, R. Sai Madhura
{"title":"Detection of Infectious Disease using Non-Invasive Logistic Regression Technique","authors":"Anirudhh Ravi, V. Gopal, J. Preetha Roselyn, D. Devaraj, Pranav Chandran, R. Sai Madhura","doi":"10.1109/INCOS45849.2019.8951392","DOIUrl":"https://doi.org/10.1109/INCOS45849.2019.8951392","url":null,"abstract":"The detection of infectious disease like Malaria among humans has been a challenging task for a long time. Although it is not life-threatening, if timely care is not provided to the individual, it may lead to serious health consequences. It has been realized that certain individualistic parameters like blood sugar, heart rate and body temperature are indicators of occurrence of malaria in a person. The objective of the work is to develop a logistic regression model for prediction of malaria incidence in a person based on the individual parameters. These individualistic parameters are measured non-invasively and fed to the developed logistic regression model. The proposed method detects infectious diseases in a given individual with maximum accuracy, speed and is highly reliable and robust in disease detection.","PeriodicalId":327609,"journal":{"name":"2019 IEEE International Conference on Intelligent Techniques in Control, Optimization and Signal Processing (INCOS)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134013163","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}
引用次数: 3
Harmonic Analysis Using Wavelet Transform for Active Power Filter Applications 小波变换在有源电力滤波器谐波分析中的应用
L. MuniaSelvan, P. Rathika
{"title":"Harmonic Analysis Using Wavelet Transform for Active Power Filter Applications","authors":"L. MuniaSelvan, P. Rathika","doi":"10.1109/INCOS45849.2019.8951337","DOIUrl":"https://doi.org/10.1109/INCOS45849.2019.8951337","url":null,"abstract":"Various types of non-linear loads are used to produce the harmonics to generate the output becomes sine waveforms of supply current and voltage. Due to harmonics are create some problems of equipment to damage. It may lead equipment to overheat and sometimes cause damage due to harmonics. Thus the power quality of the system is improved by shunt active power filter and to eliminate harmonics of the load current. The proposed method is used to extract signal from the load current using Wavelet transform. This method improves the quality of extracted fundamental component and transient response. The various wavelet transform filters are used for wavelet decomposition technique. To obtain result for this paper, the MATLAB / Simulink was used as a simulation tool and wavelet tool. The attained effects are within the recommended IEEE-519 standard. The comparison of various wavelet transform filters results to be quite satisfactory to mitigate harmonics.","PeriodicalId":327609,"journal":{"name":"2019 IEEE International Conference on Intelligent Techniques in Control, Optimization and Signal Processing (INCOS)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131741914","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}
引用次数: 3
Application of Flower Pollination Algorithm for Solving Short Term Hydro Thermal Scheduling Problem with Prohibited Operating Zones 应用花授粉算法求解带禁区的短期水力热调度问题
T. Balachander, P. Jeyanthy, D. Devaraj
{"title":"Application of Flower Pollination Algorithm for Solving Short Term Hydro Thermal Scheduling Problem with Prohibited Operating Zones","authors":"T. Balachander, P. Jeyanthy, D. Devaraj","doi":"10.1109/INCOS45849.2019.8951328","DOIUrl":"https://doi.org/10.1109/INCOS45849.2019.8951328","url":null,"abstract":"Scheduling hydro and thermal power plants in short duration is a complex optimization problem in power generation system. The main function of this scheduling approach is in nonlinear nature and aims to optimize the thermal plant’s running cost by considering numerous constraints taken in power plants. In this work, an effective stochastic method called Flower pollination algorithm (FPA) is implemented to arrive at the perfect solution. This algorithm has the evolutionary characteristics of pollinating process of flowers such that fittest members will survive and the subsequent generation of the healthier flowering plants. FPA executes the levy flight transport to generate members in the successive generation. To evaluate the efficacy of this algorithm, it is put forth to a standard test case by considering hydro and thermal power plant with a time slot of twelve hours interval on three days and simulated using the MATLAB software. Prohibited operating zones are included as additional constraints. The simulation results reveal that this meta-heuristic algorithm yields best outcome in minimum executing time than the other heuristic methods.","PeriodicalId":327609,"journal":{"name":"2019 IEEE International Conference on Intelligent Techniques in Control, Optimization and Signal Processing (INCOS)","volume":"82 11","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133071733","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}
引用次数: 1
An Efficient Data Compression Algorithm for Smart Distribution Systems using Singular Value Decomposition 基于奇异值分解的智能配电系统数据压缩算法
S. Karthika, P. Rathika
{"title":"An Efficient Data Compression Algorithm for Smart Distribution Systems using Singular Value Decomposition","authors":"S. Karthika, P. Rathika","doi":"10.1109/INCOS45849.2019.8951340","DOIUrl":"https://doi.org/10.1109/INCOS45849.2019.8951340","url":null,"abstract":"With the advance of smart grid conception a massive wide variety of monitoring devices and a large quantity of smart devices are to be installed in the Smart Distribution Systems to allow broad observability and online monitoring of the behavior of power system. The volume of data produced by the smart distribution systems is a tough challenge for storage, transmission and communication through the power system. As a result, the complexity of the smart distribution system increases tremendously. In the current work, to shrink the issues of data communication and size of data in smart distribution systems, an efficient Singular Value Decomposition based data compression algorithm is introduced. Singular Value Decomposition (SVD) performs compression by approximating the original matrix of a signal using a smaller rank. The data compression using SVD for different ranks are evaluated and it is observed that the proposed algorithm is used to drastically reduce the size of data to be transmitted throughout the smart distribution systems and precisely reconstruct the original data. To justify the proposed algorithm, a set of data are simulated under different circumstances in the IEEE Fourteen bus system. The concert of the proposed model is evaluated using CR (Compression Ratio), SNR(Signal to Noise Ratio), Mean Square error (MSE), and reconstructing ability. Simulation results are compared with the conventional discrete wavelet transform approach. It is perceived that the proposed algorithm results in improved SNR & CR with reduced Mean Square Error.","PeriodicalId":327609,"journal":{"name":"2019 IEEE International Conference on Intelligent Techniques in Control, Optimization and Signal Processing (INCOS)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134619020","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}
引用次数: 4
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信