Aashika Suresh, Ashwini Suresh, R. Reshmi, R. Rajam, M. Hemalatha
{"title":"Extraction and Evaluation of Brain Tumor from MRI using Tsallis Entropy and Level set","authors":"Aashika Suresh, Ashwini Suresh, R. Reshmi, R. Rajam, M. Hemalatha","doi":"10.1109/RTECC.2018.8625658","DOIUrl":"https://doi.org/10.1109/RTECC.2018.8625658","url":null,"abstract":"Brain tumor is a fatal disease among the human community and affects people irrespective of their age, gender and locality. In this paper, a semi-automated approach is considered to extract the tumor region from the benchmark brain MRI known as the BRATS 2015. A two-step procedure by integrating the tri-level thresholding and level-set segmentation is implemented to extract the tumor section from the MRI. Initially, Tsallis entropy assisted thresholding is implemented to enhance the tumor section; later the segmentation procedure is implemented to extract the tumor. After extracting the infected section, a relative analysis is executed with respect to the ground truth image in order to evaluate the performance of the proposed semi-automated tool. The experimental results of this work confirm that, proposed approach offers better average result for the Jaccard, Dice, sensitivity, specificity and accuracy. In future, this procedure can be considered to examine the real-time brain MRI obtained from the clinics.","PeriodicalId":445688,"journal":{"name":"2018 International Conference on Recent Trends in Electrical, Control and Communication (RTECC)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134345630","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}
{"title":"A comparative analysis of linear quadratic regulator and sliding mode control for a rotary inverted pendulum","authors":"Krishanu Nath, L. Dewan","doi":"10.1109/RTECC.2018.8625648","DOIUrl":"https://doi.org/10.1109/RTECC.2018.8625648","url":null,"abstract":"Uncertainties are inherently part of real time systems due to noise injection and parameter variations. Most design considerations use linear time invariant model for design of controllers as they serve easy design procedures. In this paper linear quadratic regulator and sliding mode control is designed for a rotary inverted pendulum. The controllers are then tested on to the nonlinear model. Performance of both the controllers is compared in the presence for parameter variation and noise. .","PeriodicalId":445688,"journal":{"name":"2018 International Conference on Recent Trends in Electrical, Control and Communication (RTECC)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116066708","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}
V. V. S. Vijaya Krishna, N. Pappa, S. P. Joy Vasantha Rani
{"title":"Implementation of Embedded Soft Sensor for Bioreactor on Zynq Processing System","authors":"V. V. S. Vijaya Krishna, N. Pappa, S. P. Joy Vasantha Rani","doi":"10.1109/RTECC.2018.8625644","DOIUrl":"https://doi.org/10.1109/RTECC.2018.8625644","url":null,"abstract":"At Present, developing a complex algorithm using an embedded system, particularly in a hybrid computing system, has obtained vital importance in many fields. This paper presents the design and developing a soft sensor for a bioreactor using Zynq processing system (PS). In this work the Extended Kalman filtering (EKF) technology is used for the design of a nonlinear model which is used to estimate the state of lactose concentration of a simulated bioreactor. In this work a base design for the Zynq Processing System is created in VIVADO and the Zybo board is used as hardware platform. Then the non-linear designs are developed in C as software application which is made to run on Zync Processing System. A comparative study is made on computation time and consumption of resource between the PC based realization and Zynq Processing system realization. The hardware implementation of the soft sensor for measuring lactose concentration of a Bioreactor using Zynq PS is faster than PC based realization with a speed up of 1.1 times when compared to that of PC based realization. The above parameters are achieved by using an average of 8% of all resources.","PeriodicalId":445688,"journal":{"name":"2018 International Conference on Recent Trends in Electrical, Control and Communication (RTECC)","volume":"190 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124483882","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}
{"title":"Performance of PQ theory based Seven- level Cascaded Shunt Active Power Filter using PI, Fuzzy and ANFIS controllers for Harmonic Reduction","authors":"R. Rani, C. Srinivasa Rao, M. Vijaya Kumar","doi":"10.1109/RTECC.2018.8625679","DOIUrl":"https://doi.org/10.1109/RTECC.2018.8625679","url":null,"abstract":"This paper presents a PI and Fuzzy Logic controller based Cascaded Seven- level Shunt Active Power filter for harmonic suppression and reactive power compensation. This device is controlled by means of PQ theory and the gate signals for SAPF are generated by LSCPWM. Later ANFIS controller is implemented for the control of proposed SAPF. Performance of proposed Seven level SAPF is studied for different loading conditions using PI, Fuzzy Logic and ANFIS controllers. The effectiveness of ANFIS controller is compared with other conventional controllers. Proposed work is simulated using MATLAB/ SIMULINK and results are tabulated.","PeriodicalId":445688,"journal":{"name":"2018 International Conference on Recent Trends in Electrical, Control and Communication (RTECC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129339174","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}
{"title":"Investigation of multiferroic properties in nickel ferrite -barium titanate nanocomposites at room temperature","authors":"P. Komalavalli, I. B. Shameem Banu","doi":"10.1109/RTECC.2018.8625646","DOIUrl":"https://doi.org/10.1109/RTECC.2018.8625646","url":null,"abstract":"Nano composites of xNiFe<inf>2</inf>O<inf>4</inf> – (1-x) BaTiO3 (x = 0.2, 0.3 and 0.4) were synthesized by solid state reaction method. The crystal structure was confirmed by XRD and Raman spectra at room temperature. Magnetic hysteresis behaviour exhibits well saturated ferromagnetic hysteresis loops. The retentivity (M<inf>r</inf>) of the composites 20:80, 30:70 and 40:60 are 1.04 emu/g, 1.71emu/g and 3.40 emu/g respectively and it is observed that M<inf>r</inf> increases as the NFO content is increased. The saturated magnetization (M<inf>s</inf>) values are 6.1435 emu/g, 8.16 emu/g and 12.1088 emu/g for xNiFe<inf>2</inf>O<inf>4</inf> – (1-x) BaTiO3 where x=0.2, 0.3 and 0.4 respectively. Saturation magnetization (M<inf>s</inf>) enhances remarkably with the increase in the ferrite content. The ferroelectric characteristics of the composite samples show an enhancement with the BTO increase in the composition. The polarization P<inf>max</inf> value for the composites 20:80, 30:70 and 40:60 are 6.41 μC/cm<sup>2</sup>, 2.43 μC/cm<sup>2</sup> and 0.9493 μC/cm<sup>2</sup> respectively. Remnant polarization (P<inf>r</inf>) values are 1.02 μC/cm<sup>2</sup>, 0.42 μC/cm<sup>2</sup> and 0.19 μC/cm<sup>2</sup> for the composites (x=0.2, 0.3 and 0.4) respectively. The samples exhibit a very low leakage current density of the order of 10<sup>−8</sup> A/cm<sup>2</sup>. Average particle sizes of the composites are obtained as 88 nm, 68 nm and 94 nm by transmission electron micrograph.","PeriodicalId":445688,"journal":{"name":"2018 International Conference on Recent Trends in Electrical, Control and Communication (RTECC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129869843","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}
{"title":"A review of various multilevel inverter topologies with reduced component count","authors":"Abeera Dutt Roy, C. Umayal","doi":"10.1109/RTECC.2018.8625691","DOIUrl":"https://doi.org/10.1109/RTECC.2018.8625691","url":null,"abstract":"In the recent years, newer topologies of multilevel inverters have been developed with reduced number of power electronic devices and their features have been highlighted. These topologies are divided into three categories of symmetric, asymmetric and hybrid and their numerous characteristics are tabulated. These configurations are capable of generating higher voltage levels and they have minimized the usage of passive filters to a great extent. A comparative study of these architectures in terms of the controller and the loads used by them has been tabulated. The popularly used modulation techniques are also mentioned. The usage of separate DC sources makes it possible to be used for renewable energy applications. And various modulation techniques used by these topologies are also discussed.","PeriodicalId":445688,"journal":{"name":"2018 International Conference on Recent Trends in Electrical, Control and Communication (RTECC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125888487","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}
{"title":"An IoT Based Dam Water Management System for Agriculture","authors":"C. Chellaswamy, J. Nisha, K. Sivakumar, R. Kaviya","doi":"10.1109/RTECC.2018.8625696","DOIUrl":"https://doi.org/10.1109/RTECC.2018.8625696","url":null,"abstract":"Water plays an important role in our day to day life in various fields. Introduction of new methods to solve the water-related problems includes adaptive management, remote sensing with the new concepts such as water security, global integration of information, etc. In this paper, we present an Internet of Things (IoT) based dam water management system (IoT-DWM) for reducing the wastage of water. The proposed IoT-DWM consists of various parts such as field sensing section, IoT network section, and dam control section, etc. The real data can be observed through different sensors placed in the agriculture area and updated it in the cloud. The dam controller receives the real data of the particular area and estimates the water requirement. The water requirement will vary depending upon the crop cultivated in that area. The controller considers different parameters such as types of crop in that area, temperature, humidity, and wind speed while estimating the requirement of water. The simulation result shows that the proposed IoT-DWM provides better results, save water in a considerable amount and leads to reduced water scarcity.","PeriodicalId":445688,"journal":{"name":"2018 International Conference on Recent Trends in Electrical, Control and Communication (RTECC)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132998747","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}
{"title":"Smart grid Infrastructure for Efficient Power Consumption Using Real Time Pricing Algorithm and Distributed Algorithm","authors":"S. Jayasurya, S. Varun Kumar","doi":"10.31142/IJTSRD9655","DOIUrl":"https://doi.org/10.31142/IJTSRD9655","url":null,"abstract":"Electricity supply do not always satisfy customers’ demand; which results in peak demand periods. When demand is at its peak, electricity providers have to react to meet the demand and avoid interruptions by boosting the capacity which is costly and not always possible. In addition to fluctuation in demand, price of electricity production changes continuously due to the variation in resources used for production over periods. Yet, the consumers pay the same price for the electricity unit both in on-peak and off-peak periods. A proposed solution would be the use of real time pricing (RTP) of electricity. The end-users will be involved in the electric grid and will have control on the consumption over different periods either by reducing or by shifting it to off-peak periods as a reaction to RTP. After a literature review and a study of previous work on RTP and demand response in smart homes, we will implement a RTP algorithm. The project will be with direct social and ethical implications since less energy consumption implies more energy efficiency, and thus more respect for environment. We implement the RTP algorithm in both a central and a distributed manner. The results obtained prove that not only the electric utility, but also, the subscribers will benefit. Comparing the results of RTP algorithm to a scenario where price is fixed, we notice that the aggregate utility of every user is higher using RTP algorithm. Along with RTP algorithm we would like to suggest Distributed algorithm that automatically manages the smart meter and the electricity provider interactions. The results from the simulation shows that the proposed RTP algorithm and distributed algorithm can potentially benefit both customer and the electricity providers.","PeriodicalId":445688,"journal":{"name":"2018 International Conference on Recent Trends in Electrical, Control and Communication (RTECC)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131988455","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}