2020 IEEE India Council International Subsections Conference (INDISCON)最新文献_第6页

ECG Denoising Using Cubature Quadrature Kalman Filter Approach 基于培养正交卡尔曼滤波的心电信号去噪

2020 IEEE India Council International Subsections Conference (INDISCON) Pub Date : 2020-10-01 DOI: 10.1109/INDISCON50162.2020.00052

Roshan M. Bodile, T. H. Hanumantha Rao

引用次数: 0

Enhancing Clustering Techniques with Hybrid Optimization 基于混合优化的聚类技术

2020 IEEE India Council International Subsections Conference (INDISCON) Pub Date : 2020-10-01 DOI: 10.1109/INDISCON50162.2020.00040

Nikita U Raichada, R. Deolekar

{"title":"Enhancing Clustering Techniques with Hybrid Optimization","authors":"Nikita U Raichada, R. Deolekar","doi":"10.1109/INDISCON50162.2020.00040","DOIUrl":"https://doi.org/10.1109/INDISCON50162.2020.00040","url":null,"abstract":"In today's creation, there is a demand to evaluate and withdraw intelligence from data. Clustering is a particular method that analytically affects the circulation of data into a class of exact objects. Each one class formed as a reflex is recognized as a cluster, which dwells of objects that have favor in the cluster and inequality with the objects in alternative troops. The present project intends to dig into and evacuate data clustering design using hybrid combination to provide optimization. One of the most known's algorithms is the k-means clustering algorithm which is zestfully enforced to innumerable disputes. Here the algorithm comes with benefits like high-speed and ease of employment, but it encounters the problem of local optimal. So, a hybrid combination of the Fuzzy c-Means Clustering Algorithm along with Particle Swarm Optimization can be used for optimization and better results. Fuzzy clustering is a common problem that leads to effective exploration in a few realistic practices. Fuzzy c-means (FCM) algorithm comes with merit like most used, productive, frank, and effortless performance. As known FCM is very susceptible to load, also it gets ambushed in native capital. To solve many breakthrough problems Particle swarm optimization (PSO) is the solution. In this paper, we have tried a combination of fuzzy clustering approaches. Fuzzy Particle Swarm Optimization can be combined so that we can try taking benefits from both these methods.","PeriodicalId":371571,"journal":{"name":"2020 IEEE India Council International Subsections Conference (INDISCON)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117214548","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

Analysis of a Disc-Shaped Monopole Antenna for RF Energy Harvesting in 1.71-12GHz 用于1.71 ~ 12ghz射频能量采集的圆盘形单极天线分析

2020 IEEE India Council International Subsections Conference (INDISCON) Pub Date : 2020-10-01 DOI: 10.1109/INDISCON50162.2020.00015

G. Srinivasu, T. Gayatri, N. Anveshkumar, V. Sharma

引用次数: 8

Static Voltage Stability Margin Enhancement Using STATCOM in Grid Connected Wind Farms 利用STATCOM提高并网风电场的静态电压稳定裕度

2020 IEEE India Council International Subsections Conference (INDISCON) Pub Date : 2020-10-01 DOI: 10.1109/INDISCON50162.2020.00030

Kishore T S, R. Vijayakrishna, Chamala Venkateswarlu

{"title":"Static Voltage Stability Margin Enhancement Using STATCOM in Grid Connected Wind Farms","authors":"Kishore T S, R. Vijayakrishna, Chamala Venkateswarlu","doi":"10.1109/INDISCON50162.2020.00030","DOIUrl":"https://doi.org/10.1109/INDISCON50162.2020.00030","url":null,"abstract":"In the era of ever increasing deregulation in power systems., load growth due to improvement of global economic rise., industrial infrastructure development., social living status of people, the power system faces new challenges every single day. However the power system has to operate under these ever changing conditions in order to meet the load demand satisfying constraints pertaining to technical., environmental and regulatory issues. In order to achieve this, system must be stable. Of all stabilities related to power system, voltage stability achieves significant importance because of its inherent nature of gradually endangering the power system operation leading to system blackouts. The major reason for voltage instability is the system operation under stressed conditions which is a consequence of many technical issues such as limited generation, increased loading and transmission congestion. In this situation, it is essential to supervise the power system for an extensive range of system circumstances in order to assess voltage stability. FACTS devices prove to be extremely useful in enhancing the voltage stability limits of the power system. Hence, keeping in view, the current scenario of power system deregulation, it is intended to study the effects of incorporating renewable energy sources in power system network and the effectiveness of FACTS devices in improving the voltage stability margin. The proposed work has been implemented on modified IEEE 14 bus test system and the results are analysed.","PeriodicalId":371571,"journal":{"name":"2020 IEEE India Council International Subsections Conference (INDISCON)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126150415","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

Implementation of Language-Action Reward Network in Reinforcement Learning by Using Natural Language 语言-动作奖励网络在自然语言强化学习中的实现

2020 IEEE India Council International Subsections Conference (INDISCON) Pub Date : 2020-10-01 DOI: 10.1109/INDISCON50162.2020.00026

S. Keerthi

{"title":"Implementation of Language-Action Reward Network in Reinforcement Learning by Using Natural Language","authors":"S. Keerthi","doi":"10.1109/INDISCON50162.2020.00026","DOIUrl":"https://doi.org/10.1109/INDISCON50162.2020.00026","url":null,"abstract":"Key issue in many RL approaches is deferred (long-term and postponed) rewards, this leads to difficulties in learning for an agent. Inspite of fact certain “reward shaping” deals with goal of making process of learning quick and easy (by starting process with an agent assigned with extra input), it leads to come complexity. Ongoing RL approaches have indicated complexity of implementation (example Atari games). So, to avoid such issues Potential-based reward shaping (PBRS) is used to increase performance of RL gents. It is an adaptable strategy to provide fundamental foundation data combining with temporal (time-based) distinction learning in a principled manner. In this PBRS approach, we propose a system LEARN (LanguagEAction Reward Network), certain maps common language (human understandable) to middle (intermediate) rewards based on activities of agent. These intermediate language based rewards canister be integrated (combined) into any standard RL algorithm. Experiments abide run on a grid world and a more complex LanguagE-Action Reward Network (LEARN) a framework certain show certain we canister learn tasks significantly faster when we specify intuitive priors on reward distribution.","PeriodicalId":371571,"journal":{"name":"2020 IEEE India Council International Subsections Conference (INDISCON)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132536830","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

Finding a Depressive Twitter User by Analyzing Depress and Antidepressant Tweets 通过分析抑郁和抗抑郁的推文找到抑郁的推特用户

2020 IEEE India Council International Subsections Conference (INDISCON) Pub Date : 2020-10-01 DOI: 10.1109/INDISCON50162.2020.00039

Sudha Tushara Sadasivuni, Yanqing Zhang

引用次数: 2

Reducing Carbon Footprint with a Knowledge-Based Smart Graphing Application 以知识为基础的智能绘图应用程序减少碳足迹

2020 IEEE India Council International Subsections Conference (INDISCON) Pub Date : 2020-10-01 DOI: 10.1109/INDISCON50162.2020.00043

Abhijit Poddar, Monali Poddar

引用次数: 3

Keynote Address: Engineering the Future in the Post-COVID Era 主题演讲:后covid时代的未来工程

2020 IEEE India Council International Subsections Conference (INDISCON) Pub Date : 2020-10-01 DOI: 10.1109/indiscon50162.2020.00010

引用次数: 0

Isolation Improvement of Multiband Fractal MIMO Antenna for Wireless Applications 无线多频带分形MIMO天线的隔离改进

2020 IEEE India Council International Subsections Conference (INDISCON) Pub Date : 2020-10-01 DOI: 10.1109/INDISCON50162.2020.00014

M. Nirmala, M. Bharathi, N. Deepika Rani

引用次数: 1