2021 IEEE 18th India Council International Conference (INDICON)最新文献

Solving Multi-Objective Hierarchical Hub Facility Location Problem Using GA-Based Approaches 基于遗传算法的多目标分层枢纽设施定位问题求解

2021 IEEE 18th India Council International Conference (INDICON) Pub Date : 2021-12-19 DOI: 10.1109/INDICON52576.2021.9691692

A. Bhattacharjee, A. Mukhopadhyay

引用次数: 2

Correlation Analysis in Wind Speed and Solar Insolation temporal series in Indian locations 印度地区风速与日晒时间序列的相关分析

2021 IEEE 18th India Council International Conference (INDICON) Pub Date : 2021-12-19 DOI: 10.1109/INDICON52576.2021.9691548

J. Das

引用次数: 0

Design and analysis of adaptive neuro-fuzzy inference system based MPPT technology 基于MPPT技术的自适应神经模糊推理系统设计与分析

2021 IEEE 18th India Council International Conference (INDICON) Pub Date : 2021-12-19 DOI: 10.1109/INDICON52576.2021.9691525

Manasi Pattnaik, M. Badoni, Yogesh N. Tatte

引用次数: 1

A Novel 15-Level Asymmetric Modified T-Type Inverter with Reduced Device count 一种新型15电平非对称改进t型逆变器

2021 IEEE 18th India Council International Conference (INDICON) Pub Date : 2021-12-19 DOI: 10.1109/INDICON52576.2021.9691644

P. Mishra, Sagar Jha, T. Roy

{"title":"A Novel 15-Level Asymmetric Modified T-Type Inverter with Reduced Device count","authors":"P. Mishra, Sagar Jha, T. Roy","doi":"10.1109/INDICON52576.2021.9691644","DOIUrl":"https://doi.org/10.1109/INDICON52576.2021.9691644","url":null,"abstract":"The concept of MLI was initiated for the industrial applications where high/medium voltages and high-power levels are involved such as interfacing with renewable energy sources, industrial motor drives applications etc. While the classical topologies became a viable conversion system for different applications, there has been an prominent interest in the evolution of newer topologies with better performances and reduced size and cost. In this paper, a novel asymmetrical modified T-type 15-level multilevel inverter (MLI) has been proposed. Each module of the proposed MLI utilizes five DC sources, ten unidirectional switches, and one bi-directional power switch. The circuit has been verified for R load, L load, RL load as well as dynamic load. As compared with existing MLI topologies, the proposed MLI has a lower device count per level with only two source varieties. The total standing voltage, as well as total harmonic distortion, are within the acceptable standards. Different performance parameters of the proposed topology including TSV, THD, Crest factor, etc. are studied and presented in the paper. Different results from the extensive simulation study in the MATLAB-Simulink platform prove the operating modes and merits of the proposed topology. The detailed operating modes of the proposed inverter is discussed in this paper.","PeriodicalId":106004,"journal":{"name":"2021 IEEE 18th India Council International Conference (INDICON)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123553666","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

Design of Concurrent Error Detection Techniques for FFT implemented on FPGA platform 基于FPGA平台的FFT并发错误检测技术设计

2021 IEEE 18th India Council International Conference (INDICON) Pub Date : 2021-12-19 DOI: 10.1109/INDICON52576.2021.9691593

Kv Mohan Krishna, K. Sarawadekar

{"title":"Design of Concurrent Error Detection Techniques for FFT implemented on FPGA platform","authors":"Kv Mohan Krishna, K. Sarawadekar","doi":"10.1109/INDICON52576.2021.9691593","DOIUrl":"https://doi.org/10.1109/INDICON52576.2021.9691593","url":null,"abstract":"Fast Fourier Transform (FFT) is one of the popular techniques in digital signal processing applications. By use of FFT, we get the advantage of reduction in number of computations required over the traditional Discrete Fourier Transform (DFT). When implementing the complex FFT in SRAM based FPGA’s the major challenge is the soft errors. Soft errors leads to the modification of configuration memory bits which results in alteration of mapped circuit. For detecting the alteration of configuration memory bits in FPGAs, concurrent error detection(CED) techniques are used. Dual Modular Redundancy (DMR) is the most popular technique used for error detection whereas in-case of FFT, Parseval Sum of Squares (SoS) is the preferred technique for error detection. Analysis of these techniques show that DMR and SoS have good error detection capabilities but at cost of high resource usage. By utilizing some of the properties of FFT, it is possible to detect soft errors. These properties are nothing but form of input and output relations and involves less number of complex multiplications and additions which gives advantage of less resource usage. The proposed techniques along with DMR and FFT are implemented on FPGA and their resource usage is compared. Results show that proposed techniques required much less resources. Also the proposed techniques are tested for their error detection capabilities by injecting faults at FFT outputs.","PeriodicalId":106004,"journal":{"name":"2021 IEEE 18th India Council International Conference (INDICON)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125535095","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

Comparative Performance Analysis on Passive and Active Balancing of Lithium-Ion Battery Cells

2021 IEEE 18th India Council International Conference (INDICON) Pub Date : 2021-12-19 DOI: 10.1109/INDICON52576.2021.9691538

Rushali R. Thakkar, Y. Rao, R. Sawant

{"title":"Comparative Performance Analysis on Passive and Active Balancing of Lithium-Ion Battery Cells","authors":"Rushali R. Thakkar, Y. Rao, R. Sawant","doi":"10.1109/INDICON52576.2021.9691538","DOIUrl":"https://doi.org/10.1109/INDICON52576.2021.9691538","url":null,"abstract":"In high-power battery applications, rechargeable batteries play a significant role. To satisfy the requirements of energy and power it is necessary to build a battery pack with numerous cells connected in either series or parallel combination. Each battery has slightly different capacity due to the manufacturing tolerances, environmental conditions, chemical and electrical characteristics of individual cells, such as open circuit voltage (OCV), internal impedance across cells, battery charge and discharge rate and external temperature gradients in a typical pack. After multiple charging and discharge cycles, the battery cells or modules appear to get out of balance in terms of uneven voltage across the pack. The variation in voltage appears to increase over period as some batteries charge and discharge faster and others charge and discharge more slowly. This greatly decreases the available battery pack capacity and also contributes to premature cell failure. Hence for series connected battery packs, balancing is required to maximise the operating range, increase life of battery, enhance battery protection, performance and reliability. This paper explains about different architectures used for balancing of cells along with the comparative analysis. Simulation results for passive balancing with switched shunting resistor and active balancing using flyback converter circuit is discussed.","PeriodicalId":106004,"journal":{"name":"2021 IEEE 18th India Council International Conference (INDICON)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122492761","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

Multiview Hand Gesture Recognition using Deep Learning 使用深度学习的多视角手势识别

2021 IEEE 18th India Council International Conference (INDICON) Pub Date : 2021-12-19 DOI: 10.1109/INDICON52576.2021.9691523

Mallika Garg, P. M. Pradhan, D. Ghosh

引用次数: 3

An Adaptive Weighted Voting Classifier for Botnet Detection in Internet of Things 基于自适应加权投票分类器的物联网僵尸网络检测

2021 IEEE 18th India Council International Conference (INDICON) Pub Date : 2021-12-19 DOI: 10.1109/INDICON52576.2021.9691690

D. Krishnan, P. Babu

{"title":"An Adaptive Weighted Voting Classifier for Botnet Detection in Internet of Things","authors":"D. Krishnan, P. Babu","doi":"10.1109/INDICON52576.2021.9691690","DOIUrl":"https://doi.org/10.1109/INDICON52576.2021.9691690","url":null,"abstract":"The growing importance of the Internet of Things in applications and services has made it an attractive source of security attacks. The recent threat landscape involves sophisticated botnet attacks involving IoT devices. The proposed work is focused on developing an adaptive voting classifier that can detect all the attack categories in BoT-IoT dataset with higher performance scores. The hyperparameters of the base classifier are tuned so that each classifier delivers the highest prediction score. The tuned classifier is fed to the voted classifiers through an adaptive voting scheme to get the highest performance scores. The accuracy, precision, recall, and F1 score are found to be significantly better than the existing works in this area. The detection rate for all classes except theft is found to be in the range of 0.99-1 and for the theft category, it is found to be 0.95. The true positive rate is close to 1 for all classes and for theft category it is 0.95. The FNR rate for all classes including theft, the smallest category is zero which is impressive. The proposed method can detect all attack categories in a highly imbalanced dataset without relying on resampling techniques.","PeriodicalId":106004,"journal":{"name":"2021 IEEE 18th India Council International Conference (INDICON)","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123394205","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

Face Verification System with Liveness Detection 具有活体检测的人脸验证系统

2021 IEEE 18th India Council International Conference (INDICON) Pub Date : 2021-12-19 DOI: 10.1109/INDICON52576.2021.9691561

Divyansh Srivastava, Priyanshi Shukla, A. Sahani

{"title":"Face Verification System with Liveness Detection","authors":"Divyansh Srivastava, Priyanshi Shukla, A. Sahani","doi":"10.1109/INDICON52576.2021.9691561","DOIUrl":"https://doi.org/10.1109/INDICON52576.2021.9691561","url":null,"abstract":"Many developments have taken place in the field of face-recognition and liveness analysis to improvise various device securities and attendance verification systems. Many approaches have incorporated 3D analysis of the face to predict the liveness of the person in front of it. Our method tries to account for this problem without using advanced 3D imaging techniques or hardware. This results in a solution that is both, more economical and also much easier to deploy. It consists of two parts; the former helps in face verification and the latter to check the liveness of the face. In the first part, we have used a model based on Google’s FaceNet Model which learns a mapping from face images to compact Euclidean space distances, which directly correspond to the measure of similarity of the images. Once the space has been produced, face verification can be easily implemented using standard techniques with embeddings as feature vectors. For the second part, we have employed a cascaded multi-task framework that extracts certain features from the facial image which are then used to check for liveness by tracking their relative displacements. These extracted features were used to check the liveness of the person’s face by asking them to perform some tasks in a random order like head and facial movements etc.","PeriodicalId":106004,"journal":{"name":"2021 IEEE 18th India Council International Conference (INDICON)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123641236","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

Achieving Synchrony in Physical Systems with Mutual Adaptation 通过相互适应实现物理系统的同步

2021 IEEE 18th India Council International Conference (INDICON) Pub Date : 2021-12-19 DOI: 10.1109/INDICON52576.2021.9691621

S. R. Swethaashri, Gayatri Sreenivasan, Vittal Srinivasan, R. Makam, Koshy George

引用次数: 0