{"title":"Shared Memory Architecture based Parallel Programming for RCS Estimation","authors":"P. S. Shibu, Atul, B. Choudhury, R. U. Nair","doi":"10.1109/AESPC44649.2018.9033194","DOIUrl":"https://doi.org/10.1109/AESPC44649.2018.9033194","url":null,"abstract":"Parallel programming techniques have been prominently explored in various engineering applications as it provides a time efficient solution to the complex problems without affecting the accuracy. Parallel programming approach for solving complex electromagnetic problems with the requirement of huge computational power has been a thrust area of research. This paper focuses on shared memory parallel programming model for RCS estimation of electrically large structures such as cylindrical duct and a solid cylinder with surfaces of concave and convex in nature. In this paper OpenMP API and parallel computing toolbox in MATLAB are utilized to simulate a parallel program on a shared memory architecture. An exponential decrease in computation time has been through a classical RCS estimation problem.","PeriodicalId":222759,"journal":{"name":"2018 International Conference on Applied Electromagnetics, Signal Processing and Communication (AESPC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129132592","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 Analytical Model for WSN-MCN Convergence Network Based on Processor Sharing Scheduling","authors":"Anita Swain, A. Ray, Prasanta Kumar Swain","doi":"10.1109/AESPC44649.2018.9033390","DOIUrl":"https://doi.org/10.1109/AESPC44649.2018.9033390","url":null,"abstract":"Advancement in ubiquitous techniques and the need of wide coverage network march towards convergence of networks. Mobile cellular network (MCN) is the largest network which can be the master network for this purpose and Wireless sensor network (WSN) can converge with MCN to form a single platform. As the world is moving towards machine to machine communication possibilities where WSN plays the major role. Hence there is a need to study the performances of the MCN-WSN convergence network. In this paper we have proposed an analytical model to accept the request from both WSN and MCN part and acceptances rate use certain probability to enter into a process at mobile node using processing sharing (PS) scheduling. The service rate is reduced to half of it’s original rate to satisfy the processor sharing simultaneously for both WSN and MCN part. The performance factors like utilization, throughput is calculated and the analysis is done using graphs in numerical section.","PeriodicalId":222759,"journal":{"name":"2018 International Conference on Applied Electromagnetics, Signal Processing and Communication (AESPC)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128503740","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":"Quality of Service Analysis of Massive MIMO Wireless System with Time Division Duplexing","authors":"Utpal Das, S. Bandopadhaya, P. Rout","doi":"10.1109/AESPC44649.2018.9033282","DOIUrl":"https://doi.org/10.1109/AESPC44649.2018.9033282","url":null,"abstract":"In this paper, the quality of service (QoS) of massive MIMO wireless system with time division duplexing (TDD) protocol has been evaluated. Though employment of hundreds of antenna elements at base station (BS) promises many fold enhancement of degrees of freedom in the system, the complexity in channel estimation has also increased in same proportion. The spectrum overhead in massive MIMO system with conventional frequency division duplexing (FDD) is unmanageably high as it estimates both links separately. TDD protocol, though it is not popular in legacy wireless systems, may be best choice for massive MIMO as it reduces the spectrum overhead significantly by exploiting the reciprocity between channels for both the links. The QoS parameters like average sum-rate and outage probability are considered in this paper for performance evaluation of massive MIMO with TDD protocol has been evaluated in terms of system bit error rate and average sum-rate.","PeriodicalId":222759,"journal":{"name":"2018 International Conference on Applied Electromagnetics, Signal Processing and Communication (AESPC)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123566429","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":"Investigations on the Effect of Mutual Coupling in Smart Antenna Using Adaptive Signal Processing Algorithm","authors":"Manisha Mishra, J. S. Roy","doi":"10.1109/AESPC44649.2018.9033283","DOIUrl":"https://doi.org/10.1109/AESPC44649.2018.9033283","url":null,"abstract":"Adaptive beamforming is one of the most refined approaches in the recent times backed by a creditable signal processing unit to generate beam patterns in the desired direction in a dynamic cellular environment. The paper alludes to the effect of mutual coupling in the beamforming of a smart antenna of linear antenna array of isotropic elements. The effect of mutual coupling on the array parameters, like, desired beam direction (BD), half power beamwidth (HPBW), maximum side lobe level (SLLmax) are investigated by varying the inter-element spacing using adaptive signal processing least mean square (LMS) algorithm. The effect of mutual coupling is more dominate for lower inter-element spacing (d) causing the desired beam direction to shift by appreciable degrees. Below d<0.3λ, HPBW changes affecting the directivity of the array antenna.","PeriodicalId":222759,"journal":{"name":"2018 International Conference on Applied Electromagnetics, Signal Processing and Communication (AESPC)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121460066","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 COR Optimized FUZZY-PI controller for interconnected AGC system","authors":"Sunita Patel, B. Mohanty","doi":"10.1109/AESPC44649.2018.9033394","DOIUrl":"https://doi.org/10.1109/AESPC44649.2018.9033394","url":null,"abstract":"Two area non-reheat thermal system considered to optimize by using Competition Over Resources optimization algorithm (COR) by using Fuzzy Logic Controller (FLC) based Proportional-Integral (PI) controller. FLC based PI controller can be employed where the gain of the controller can be optimized by using Competition over resources (COR) optimization algorithm. Objective function Integral Time Absolute Error (ITAE) is taken for the system under study. Superiority of the proposed COR method has been shown by comparing the dynamic performance with Imperialist competitive Algorithm (ICA) based Fuzzy-PI controller, Genetic algorithm (GA) based PI controller, Particle swarm optimization algorithm (PSO) based PI controller, Bacteria foraging optimization algorithm (BFOA) based PI controller, hybrid bacteria foraging optimization algorithm and particle swarm optimization algorithm (hBFOA-PSO) based PI, for the same interconnected system. Corresponding performance index can be calculated in terms of Integral Time multiplied Absolute error (ITAE) and settling time (Ts). Sensitivity analysis is performed with system parameter variation.","PeriodicalId":222759,"journal":{"name":"2018 International Conference on Applied Electromagnetics, Signal Processing and Communication (AESPC)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127512441","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":"Motion Sensing using MATLAB and Arduino","authors":"S. Das, Kaliprasanna Swain, S. Sahu","doi":"10.1109/AESPC44649.2018.9033272","DOIUrl":"https://doi.org/10.1109/AESPC44649.2018.9033272","url":null,"abstract":"Surveillance systems are the new most important part of any security systems. The research is made on making the intelligence camera with addition of motion detection capabilities to it. This paper proposes a motion detection system by implementing Matlab image processing toolbox for real-time processing along with a voice feedback system. It also uses an Arduino UNO board interfaced with different hardware like LCD, Buzzer etc to display the result. The image processing is made with pixel colour scaling and comparative method in the real world environment. This paper is also simulated by Proteus ISIS design suit.","PeriodicalId":222759,"journal":{"name":"2018 International Conference on Applied Electromagnetics, Signal Processing and Communication (AESPC)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125384441","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":"ANN based Classification of ECG Signals for Myocardial Infarction using Cross Correlation Concepts","authors":"A. N, B. Choudhury, R. U. Nair","doi":"10.1109/AESPC44649.2018.9033441","DOIUrl":"https://doi.org/10.1109/AESPC44649.2018.9033441","url":null,"abstract":"A standard clinical electrocardiogram signal plays a major role in preliminary screening of cardiac abnormalities. This work deals with classification of normal and inferior myocardial infarction and presents a method for artificial neural network based analysis of ECG patterns using cross correlation concepts and ECG feature analysis using a novel feature set. In this paper, five novel parameters are used as attributes for the ANN; they are maximum value and average value of cross correlation between normal template and sample to be tested, amplitude of Q wave peak, amplitude of S wave peak and QT zone amplitude sum. The ANN model trained using these attributes gives an accuracy of 100% on the selected training set and almost 87% accuracy on the selected test set.","PeriodicalId":222759,"journal":{"name":"2018 International Conference on Applied Electromagnetics, Signal Processing and Communication (AESPC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129384164","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}
S. Karan, Shiwangi Singh, Anusha Taarinie Jha, Satyadeep Das
{"title":"Wi-Fi shaped antenna with enhanced performance using metamaterial","authors":"S. Karan, Shiwangi Singh, Anusha Taarinie Jha, Satyadeep Das","doi":"10.1109/AESPC44649.2018.9033344","DOIUrl":"https://doi.org/10.1109/AESPC44649.2018.9033344","url":null,"abstract":"In this paper, a Wi-Fi logo shaped microstrip antenna is designed. The main focus in this paper is to explore the properties of metamaterial to improve the performance of the antenna. The SRR based metamaterial is incorporated in design. The combined structure of the proposed antenna with metamaterial superstrate layer gives the return loss of -28dB at 35GHz & -15dB at 45GHz and the overall gain of 15dB for the range.","PeriodicalId":222759,"journal":{"name":"2018 International Conference on Applied Electromagnetics, Signal Processing and Communication (AESPC)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132901025","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":"Multiple Power Quality Event Detection and Classification using Wavelet Transform and Random Forest Classifier","authors":"Sambit Dash, Umamani Subudhi","doi":"10.1109/AESPC44649.2018.9033313","DOIUrl":"https://doi.org/10.1109/AESPC44649.2018.9033313","url":null,"abstract":"In this paper a technique for detection of multiple power quality (PQ) events is illustrated. An algorithm based on wavelet transform and Random Forest based classifier is proposed in this paper. The developed technique is implemented on 11 different power quality events consisting of single stage power quality events such as sag, swell, flicker, interruption and multi stage power quality events such as harmonics combined with sag, swell, flicker, interruption. PQ events are simulated in MATLAB using standard IEEE-1159 standard. Significant features of PQ events are extracted using wavelet transform and used to train random forest based classifier. The efficiency of Random Forest Based classifier is compared with other widely used machine learning algorithms such as K-Nearest Neighbour (KNN) and Support Vector Machine (SVM). From confusion matrix of different algorithms it is concluded that Random Forest shows superior classification accuracy as compared to SVM and KNN.","PeriodicalId":222759,"journal":{"name":"2018 International Conference on Applied Electromagnetics, Signal Processing and Communication (AESPC)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133814114","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":"Hardware Implementation of CORDIC Algorithm","authors":"Anuvab Sahoo, M. Panigrahy","doi":"10.1109/AESPC44649.2018.9033343","DOIUrl":"https://doi.org/10.1109/AESPC44649.2018.9033343","url":null,"abstract":"CORDIC algorithm provides an effective way of computing trigonometric and hyperbolic functions. This algorithm replaces multiplication operation through iterative addition and bit shifting action. This not only saves area but also improves the throughput. This paper reviews the basic CORDIC algorithm and implements folded word-serial and unfolded pipelined CORDIC architecture. These designs are implemented using Xilinx Artix-7 FPGA. Hardware utilization and speed of operation are tabulated for both designs. Accuracy for 16 bit precision CORDIC design is noted by comparing the same with Matlab simulation result.","PeriodicalId":222759,"journal":{"name":"2018 International Conference on Applied Electromagnetics, Signal Processing and Communication (AESPC)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115721101","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}