2021 1st Odisha International Conference on Electrical Power Engineering, Communication and Computing Technology(ODICON)最新文献_第5页

Application of Harris Hawks Optimization to Solve LFC Issues in Solar Based Unified System Harris Hawks优化算法在太阳能统一系统LFC问题中的应用

2021 1st Odisha International Conference on Electrical Power Engineering, Communication and Computing Technology(ODICON) Pub Date : 2021-01-08 DOI: 10.1109/ODICON50556.2021.9429015

Jugajyoti Sahu, M. Debnath, P. Mohanty, B. K. Sahu

引用次数: 2

An ensemble method of feature selection and classification of Odia characters 一种Odia特征选择与分类的集成方法

2021 1st Odisha International Conference on Electrical Power Engineering, Communication and Computing Technology(ODICON) Pub Date : 2021-01-08 DOI: 10.1109/ODICON50556.2021.9428979

M. Das, M. Panda

{"title":"An ensemble method of feature selection and classification of Odia characters","authors":"M. Das, M. Panda","doi":"10.1109/ODICON50556.2021.9428979","DOIUrl":"https://doi.org/10.1109/ODICON50556.2021.9428979","url":null,"abstract":"Offline Handwritten Character Recognition of Odia scripts have drawn remarkable attention by researchers. In the area of Pattern recognition, most challenging task is to classify and recognize characters with human like accuracy. Feature selection methods are widely used in various sectors of machine learning, bioinformatics, and Pattern recognition. In high dimensional datasets, not all the features are relevant to the problem; some of them interfere and reduce accuracy and also the causes of curse of dimensionality. To overcome the above problems, we have experimented different feature selection technique i.e. filter and wrapper methods, to select a subset of relevant and nonredundant features that have the strongest relationships with the output variable. Filter and wrapper based methods are implemented, on vowels of Odia script of OHCS 1.0 database for Odia character recognition, by selecting top ‘k’ important features and their accuracy is analyzed. The Random Forest (RF) technique, which is an ensemble of decision trees, incorporates Gini importance based feature selection and influences greatly the model's accuracy. By varying the number of decision tress in the Random Forest, the accuracy and the execution time for building the tree before feature selection and after feature selection is compared. After discarding many features that do not carry any information for class prediction, the ensemble model results on an average of 99.2% accuracy with reduced feature set.","PeriodicalId":197132,"journal":{"name":"2021 1st Odisha International Conference on Electrical Power Engineering, Communication and Computing Technology(ODICON)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123766671","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

Effect of Feature Dimension on Classification of Speech Emotions 特征维数对言语情绪分类的影响

2021 1st Odisha International Conference on Electrical Power Engineering, Communication and Computing Technology(ODICON) Pub Date : 2021-01-08 DOI: 10.1109/ODICON50556.2021.9429011

H. Palo, Niharika Pattanaik, Bibhu Prasad Mohanty, L. Mishra

{"title":"Effect of Feature Dimension on Classification of Speech Emotions","authors":"H. Palo, Niharika Pattanaik, Bibhu Prasad Mohanty, L. Mishra","doi":"10.1109/ODICON50556.2021.9429011","DOIUrl":"https://doi.org/10.1109/ODICON50556.2021.9429011","url":null,"abstract":"This paper analyses both the static and temporal dynamics of the spectral features in classifying speech emotions. Initially, different frame-level spectral techniques such as the Linear Prediction Cepstral Coefficients (LPCC), Perceptual LP coefficients (PLP), and Mel-Frequency Cepstral Coefficients (MFCC) have been examined. Further, these spectral features are extracted using Wavelet Analysis (WA) for a better emotional portrayal. The extracted feature sets remain high-dimensional and overload the recognizer with redundant features, large memory space, and slower response. To alleviate these issues and fetch more discriminating parameters, the applicability of Vector Quantization in clustering the data has been explored. Machine learning algorithms such as the Gaussian Mixture Model (GMM), the Probabilistic Neural Network (PNN), and the Multilayer Perceptron (MLP) have been simulated with the derived feature sets for their effectiveness in classifying speech emotions. While the GMM has been efficient in classifying the frame-level feature dimension, the NN-based classifiers outperform the GMM for low feature dimensions as revealed from our results.","PeriodicalId":197132,"journal":{"name":"2021 1st Odisha International Conference on Electrical Power Engineering, Communication and Computing Technology(ODICON)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121898431","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

Dynamic stability improvement of a solar penetrated power system by Fractional optimal IPFC based controller 基于分数阶最优IPFC控制器的太阳能穿透式电力系统动态稳定性改进

2021 1st Odisha International Conference on Electrical Power Engineering, Communication and Computing Technology(ODICON) Pub Date : 2021-01-08 DOI: 10.1109/ODICON50556.2021.9428964

Narayan Nahak, Omkar Satapathy, Vishal Gautam

{"title":"Dynamic stability improvement of a solar penetrated power system by Fractional optimal IPFC based controller","authors":"Narayan Nahak, Omkar Satapathy, Vishal Gautam","doi":"10.1109/ODICON50556.2021.9428964","DOIUrl":"https://doi.org/10.1109/ODICON50556.2021.9428964","url":null,"abstract":"Fractional interline power flow controller (IPFC) is proposed in this work for enhancing dynamic stability of a random solar penetrated power system. IPFC being a series-series FACTS device is much versatile damping controller. Here the damping action is provided by IPFC based fractional lead-lag controller. The controller gains are optimized by a random walk grey wolf optimizer (RGWO). A random variation in solar output is more prone to system oscillations as compared to fix solar generation. So separate cases have been conducted in this work pertaining to step and random solar power variations. The effectiveness of proposed control action has been compared with lead-lag controller and proposed optimization technique with standard PSO and GWO algorithms. Detail analysis has been performed in time domain with eigen analysis and it is found that fractional RGWO tuned IPFC is much robust to damp system oscillations subject to variable solar penetration in comparison to PSO and GWO tuned lead-lag controller.","PeriodicalId":197132,"journal":{"name":"2021 1st Odisha International Conference on Electrical Power Engineering, Communication and Computing Technology(ODICON)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131518802","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

Generating Rules to Detect Phishing Websites Using URL Features 生成规则来检测使用URL特征的钓鱼网站

2021 1st Odisha International Conference on Electrical Power Engineering, Communication and Computing Technology(ODICON) Pub Date : 2021-01-08 DOI: 10.1109/ODICON50556.2021.9429003

Anjaneya Awasthi, Noopur Goel

{"title":"Generating Rules to Detect Phishing Websites Using URL Features","authors":"Anjaneya Awasthi, Noopur Goel","doi":"10.1109/ODICON50556.2021.9429003","DOIUrl":"https://doi.org/10.1109/ODICON50556.2021.9429003","url":null,"abstract":"Phishing, a well-known type of the cybercrime, is a fraudulent activity created and executed by cyber criminals all over the cyberspace worldwide. Several techniques are used by these cyber criminals or scammers to carry out these attacks on the user to deceive a user. There are also some dangerous types of phishing attacks such as: by using Email messages and the Multimedia Internet Mail Extensions (MIME) attachments with the email messages that are delivered to the targeted users that include newbies as well as old and experienced users. Other types include botnet based attack that is performed using malwares sent either through emails or somehow forcing users to click on the links planted wherein these malicious messages are attached by the scammers in the body of email text or their webpages. Spear attacks are also dangerous kind of phishing attacks. In this kind of attack an individual or a company is targeted by these people to steal the sensitive data over web. Keeping in mind this very purpose, emails and malicious codes are used as their primary weapons. In present paper, Apriori algorithm is used to generate the rules so that these rules can play a vital role in detecting & predicting the phishing and non-phishing website URLs. In order to give the web users a basic idea against this threat, an effective tool is used to spread the word among the users, so that users may get the required knowledge about these and developing a tool to make users able to identify the phishing websites/content while working online.","PeriodicalId":197132,"journal":{"name":"2021 1st Odisha International Conference on Electrical Power Engineering, Communication and Computing Technology(ODICON)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131600917","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

Assessment of Crop Damage by Wild Animals and Renewable Energy Interventions -A Case Study from Coastal Odisha, India 野生动物和可再生能源干预对作物损害的评估——以印度奥里萨邦沿海地区为例

2021 1st Odisha International Conference on Electrical Power Engineering, Communication and Computing Technology(ODICON) Pub Date : 2021-01-08 DOI: 10.1109/ODICON50556.2021.9429026

S. Goel, Renu Sharma

引用次数: 2

Essential Analysis of MRC-WPT System for Electric Vehicle Charging Using Coupled Mode Theory 基于耦合模式理论的电动汽车充电MRC-WPT系统本质分析

2021 1st Odisha International Conference on Electrical Power Engineering, Communication and Computing Technology(ODICON) Pub Date : 2021-01-08 DOI: 10.1109/ODICON50556.2021.9429020

Asutosh Pusti, Pradyumna Kumar Das, A. Panda, J. Padhi, D. P. Kar

引用次数: 2

Improved Particle Swarm Optimization By Means of Manipulation of the Inertia Weighting Factor Based on Albert Einstein Theory of Photoelectric Effect 基于爱因斯坦光电效应理论的惯性加权因子改进粒子群优化

2021 1st Odisha International Conference on Electrical Power Engineering, Communication and Computing Technology(ODICON) Pub Date : 2021-01-08 DOI: 10.1109/ODICON50556.2021.9429023

John Saveca, Yanxia Sun, Zenghui Wang

引用次数: 2

An Efficient Approach to Find Frequent Item Sets in Large Database 大型数据库中频繁项集查找的一种有效方法

2021 1st Odisha International Conference on Electrical Power Engineering, Communication and Computing Technology(ODICON) Pub Date : 2021-01-08 DOI: 10.1109/ODICON50556.2021.9428946

Ajay Sharma, R. K. Singh

{"title":"An Efficient Approach to Find Frequent Item Sets in Large Database","authors":"Ajay Sharma, R. K. Singh","doi":"10.1109/ODICON50556.2021.9428946","DOIUrl":"https://doi.org/10.1109/ODICON50556.2021.9428946","url":null,"abstract":"In recent years, Data Mining [1] [2] is a constitutive technique for finding useful knowledge from large transactional dataset. Association rule mining [3] is one of the resuscitative data mining techniques. It finds the interesting patterns from large datasets to maximize the profit of the future business. Several algorithms are available to find frequent patterns. Apriori and FP-Tree [4] [5] algorithms are most common techniques for discovering frequent item sets. The Apriori algorithm uses a breadth-first search approach to find all significant frequent patterns. This is performed by candidate generation method which takes several number of database scans. The FP-Tree algorithm scans the whole database twice to discover significant frequent patterns without generation of candidate. So the main motive behind this proposed approach to discover frequent patterns from transactional database in minimum execution time. The proposed TR-FC-GCM (Transaction Reduction - Frequency Count - Generate Combination Method) finds all significant frequent patterns by generating all possible combinations of an item with single database scan and also works better for null and full datasets. The comparative results of TR-FC-GCM, Apriori and FP-Tree algorithms with different transactions and thresholds, it clearly shows that TR-FC-GCM algorithm outperforms than Apriori and FP-Tree algorithms.","PeriodicalId":197132,"journal":{"name":"2021 1st Odisha International Conference on Electrical Power Engineering, Communication and Computing Technology(ODICON)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123808012","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

A grasshopper optimized FO- multistage controller for frequency control of an AC microgrid 一种用于交流微电网频率控制的蝗虫优化FO-多级控制器

2021 1st Odisha International Conference on Electrical Power Engineering, Communication and Computing Technology(ODICON) Pub Date : 2021-01-08 DOI: 10.1109/ODICON50556.2021.9428981

P. Sahu, B. Begum, R. Prusty, B. K. Sahu, Manoj Kumar Devnath

{"title":"A grasshopper optimized FO- multistage controller for frequency control of an AC microgrid","authors":"P. Sahu, B. Begum, R. Prusty, B. K. Sahu, Manoj Kumar Devnath","doi":"10.1109/ODICON50556.2021.9428981","DOIUrl":"https://doi.org/10.1109/ODICON50556.2021.9428981","url":null,"abstract":"The microgrid has an ability to electrify most of isolated and remote areas significantly. Microgrids are commonly structured with the integration of various renewable energy based distributed generating (DG) sources like wind plant, solar plant, fuel cell along with few conventional micro sources such as diesel engine generator, micro-turbine etc. Most of DG systems experience low inertia and large dynamics which could affect the system frequency seriously. The uncertainties like wind fluctuation, solar energy variation and load dynamics degrades the system performance especially frequency of the mcrogrid seriously. A control action has to be highly required to maintain nominal frequency under above uncertainties. The present research paper proposes a robust fractional order multi stage controller to make necessary control over system frequency under wind and solar power uncertainties. A novel grasshopper algorithm has been employed to design optimally to the above projectrd controller. Finally, the suggested grasshopper designed fractional order multi stage controller is found to be more useful in observe to the frequency control of micrgrd model.","PeriodicalId":197132,"journal":{"name":"2021 1st Odisha International Conference on Electrical Power Engineering, Communication and Computing Technology(ODICON)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131294496","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: 5