2018 International Conference on Electrical, Electronics, Communication, Computer, and Optimization Techniques (ICEECCOT)最新文献_第9页

Modelling and Control of Three-link Planar Robot for Stable Walking Gait 平面三连杆机器人稳定行走步态建模与控制

2018 International Conference on Electrical, Electronics, Communication, Computer, and Optimization Techniques (ICEECCOT) Pub Date : 2018-12-01 DOI: 10.1109/ICEECCOT43722.2018.9001439

Sreeja Kochuvila, Vardhan H. R Nandi

引用次数: 0

Fault Analysis and Predictive Maintenance of Induction Motor Using Machine Learning 基于机器学习的感应电机故障分析与预测性维护

2018 International Conference on Electrical, Electronics, Communication, Computer, and Optimization Techniques (ICEECCOT) Pub Date : 2018-12-01 DOI: 10.1109/ICEECCOT43722.2018.9001543

V. Kavana, M. Neethi

{"title":"Fault Analysis and Predictive Maintenance of Induction Motor Using Machine Learning","authors":"V. Kavana, M. Neethi","doi":"10.1109/ICEECCOT43722.2018.9001543","DOIUrl":"https://doi.org/10.1109/ICEECCOT43722.2018.9001543","url":null,"abstract":"Induction motors are one of the most crucial electrical equipment and are extensively used in industries in a wide range of applications. This paper presents a machine learning model for the fault detection and classification of induction motor faults by using three phase voltages and currents as inputs. The aim of this work is to protect vital electrical components and to prevent abnormal event progression through early detection and diagnosis. This work presents a fast forward artificial neural network model to detect some of the commonly occurring electrical faults like overvoltage, under voltage, single phasing, unbalanced voltage, overload, ground fault. A separate model free monitoring system wherein the motor itself acts like a sensor is presented and the only monitored signals are the input given to the motor. Limits for current and voltage values are set for the faulty and healthy conditions, which is done by a classifier. Real time data from a 0.33 HP induction motor is used to train and test the neural network. The model so developed analyses the voltage and current values given at a particular instant and classifies the data into no fault or the specific fault. The model is then interfaced with a real motor to accurately detect and classify the faults so that further necessary action can be taken.","PeriodicalId":254272,"journal":{"name":"2018 International Conference on Electrical, Electronics, Communication, Computer, and Optimization Techniques (ICEECCOT)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115826818","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: 9

Analysis of Teacher-Student Learning Style on Student Feedback Using Manhattan Algorithm 基于学生反馈的师生学习风格分析

2018 International Conference on Electrical, Electronics, Communication, Computer, and Optimization Techniques (ICEECCOT) Pub Date : 2018-12-01 DOI: 10.1109/ICEECCOT43722.2018.9001512

V. Deshmukh, K. Vivek, S. Mangalwede, D. H. Rao

{"title":"Analysis of Teacher-Student Learning Style on Student Feedback Using Manhattan Algorithm","authors":"V. Deshmukh, K. Vivek, S. Mangalwede, D. H. Rao","doi":"10.1109/ICEECCOT43722.2018.9001512","DOIUrl":"https://doi.org/10.1109/ICEECCOT43722.2018.9001512","url":null,"abstract":"This paper makes an attempt to implement learning style theory namely Visual, Auditory/Audio and Kinesthetic in technical institutes to make learning an enjoyable experience and student centric. The students learn in different ways and the teacher needs to design their course to meet these requirements of the students. The purpose of this investigation is to determine the learning style of the student and of the teacher and find the correlation between them. This will provide a way to approach students' needs and deliver the course content appropriately. Here learning styles of 44 students and the teacher who is teaching one of the courses is determined. The feedback was collected from students in order to compare the effectiveness of teaching in class. The experimental results indicate that when there is similarity between teacher and student learning style, the outcome is positive. Here VAK Learning Style (VAKLS) inventory developed by Victoria Chisslet is used. The Manhattan distance is measured to compare similarity in learning styles using Python 3.6 and feedback analysis is done with a standard formula.","PeriodicalId":254272,"journal":{"name":"2018 International Conference on Electrical, Electronics, Communication, Computer, and Optimization Techniques (ICEECCOT)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116001525","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

Control Strategy to Enhance Power Capability of Power Conditioning Unit During FRT 提高电力调节机组FRT功率能力的控制策略

2018 International Conference on Electrical, Electronics, Communication, Computer, and Optimization Techniques (ICEECCOT) Pub Date : 2018-12-01 DOI: 10.1109/ICEECCOT43722.2018.9001357

N. Kulkarni, V. Virulkar

引用次数: 0

Efficient-CSDA (Consensus based) Approach to Achieve Secure Data Aggregation 实现安全数据聚合的高效csda(基于共识)方法

2018 International Conference on Electrical, Electronics, Communication, Computer, and Optimization Techniques (ICEECCOT) Pub Date : 2018-12-01 DOI: 10.1109/ICEECCOT43722.2018.9001390

S. Swathi, H. Yogish

{"title":"Efficient-CSDA (Consensus based) Approach to Achieve Secure Data Aggregation","authors":"S. Swathi, H. Yogish","doi":"10.1109/ICEECCOT43722.2018.9001390","DOIUrl":"https://doi.org/10.1109/ICEECCOT43722.2018.9001390","url":null,"abstract":"IoT has become one of the eminent technology when it comes to monitoring, industrial applications, surveillance and other area. As with the rapid development in the IoT, there is also rapid and parallel growth of WSN, which is one of the primary component of the IoT technology. Considering the large network in WSN, the DA (Data Aggregation) minimizes the Energy Consumption as well as the communication held between the nodes. Data Aggregation is a method where the data originated from the various sensor is integrated and transmitted. However, when these sensor networks are deployed in the hostile environment, the security concern becomes vital, like how to ensure the robustness, accuracy and privacy in presence of corrupt nodes. Hence, several existing system such as PP-AC algorithm and others have been proposed to provide the secure data aggregation but the performance of these algorithm is not satisfactory. Hence, we proposed a novel algorithm known as Efficient-CSDA (Consensus based data aggregation) algorithm is presented. Our algorithm allows the neighbouring node to detect the dishonest nodes. Proposed algorithm is evaluated and to prove our accuracy we compared the simulated result with the PP-AC algorithm. The comparison between two algorithms clearly shows that our algorithm outperforms the existing one.","PeriodicalId":254272,"journal":{"name":"2018 International Conference on Electrical, Electronics, Communication, Computer, and Optimization Techniques (ICEECCOT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130669218","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

Face and Iris Wavelet Feature Fusion through Canonical Correlation Analysis for Person Identification 基于典型相关分析的人脸和虹膜小波特征融合人脸识别

2018 International Conference on Electrical, Electronics, Communication, Computer, and Optimization Techniques (ICEECCOT) Pub Date : 2018-12-01 DOI: 10.1109/ICEECCOT43722.2018.9001636

S. Angadi, Vishwanath C. Kagawade

引用次数: 4

Enhancement of Network Lifetime by Topology Control Based on Location in MANET 基于位置的MANET拓扑控制提高网络生存期

2018 International Conference on Electrical, Electronics, Communication, Computer, and Optimization Techniques (ICEECCOT) Pub Date : 2018-12-01 DOI: 10.1109/ICEECCOT43722.2018.9001318

S. Kabbur, G. F. A. Ahammed, Reshma Banu

引用次数: 0

RTT Centered Automatic and Dynamic Wormhole Attack Discovery in Sensor Network 基于RTT的传感器网络自动动态虫洞攻击发现

2018 International Conference on Electrical, Electronics, Communication, Computer, and Optimization Techniques (ICEECCOT) Pub Date : 2018-12-01 DOI: 10.1109/ICEECCOT43722.2018.9001597

Sharada M Kori, G. Krishnamurthy, N. Sidnal

{"title":"RTT Centered Automatic and Dynamic Wormhole Attack Discovery in Sensor Network","authors":"Sharada M Kori, G. Krishnamurthy, N. Sidnal","doi":"10.1109/ICEECCOT43722.2018.9001597","DOIUrl":"https://doi.org/10.1109/ICEECCOT43722.2018.9001597","url":null,"abstract":"Sensor systems are acquiring more fame because of their wide range of applications like process automation, environment (habitat) monitoring, seismic monitoring, and battlefield surveillance. Though they are popular because of their applications, they do come with various challenges like random deployment of nodes, limited energy, computation and memory. Apart from these challenges, the most critical aspect to handle is security. Information is exchanged in Wireless Sensor Networks (WSNs) between the nodes through wireless links in “air” through electromagnetic waves. This feature attracts the invaders to steal data, disrupt the normal system action by disturbing the data flow and so on. WSNs are prone to attacks at various layers of networks like jamming, denial of service, sinkhole, black hole, wormhole to name a few. Each attack is characterized by its own consequences. Various countermeasures are proposed to defend against these various attacks. Out of these attacks, we pick up wormhole attack at network layer because of its unique nature. Wormhole attack can be launched in the network even if the network is secured with cryptographic techniques. In this paper we address wormhole attack by proposing a RTT centered Wormhole Outbreak discovery. Our proposed system is simple with no extra hardware requirement and no tight clock synchronization.","PeriodicalId":254272,"journal":{"name":"2018 International Conference on Electrical, Electronics, Communication, Computer, and Optimization Techniques (ICEECCOT)","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132793767","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

Frequency Sampling method of FIR Filter design: A comparative study FIR滤波器设计中频率采样方法的比较研究

2018 International Conference on Electrical, Electronics, Communication, Computer, and Optimization Techniques (ICEECCOT) Pub Date : 2018-12-01 DOI: 10.1109/ICEECCOT43722.2018.9001661

K. Pushpavathi, B. Kanmani

引用次数: 7

Intent Detection for code-mix utterances in task oriented dialogue systems 面向任务对话系统中混码话语的意图检测

2018 International Conference on Electrical, Electronics, Communication, Computer, and Optimization Techniques (ICEECCOT) Pub Date : 2018-12-01 DOI: 10.1109/ICEECCOT43722.2018.9001577

P. Jayarao, Aman Srivastava

{"title":"Intent Detection for code-mix utterances in task oriented dialogue systems","authors":"P. Jayarao, Aman Srivastava","doi":"10.1109/ICEECCOT43722.2018.9001577","DOIUrl":"https://doi.org/10.1109/ICEECCOT43722.2018.9001577","url":null,"abstract":"Intent detection is an essential component of task oriented dialogue systems. Over the years, extensive research has been conducted resulting in many state of the art models directed towards resolving user's intents in dialogue. A variety of vector representation for user utterances have been explored for the same. However, these models and vectorization approaches have more so been evaluated in a single language environment. Dialogue systems generally have to deal with queries in different languages and most importantly Code-Mix form of writing. Since Code-Mix texts are not bounded by a formal structure they are difficult to handle. We thus conduct experiments across combinations of models and various vector representations for Code-Mix as well as multi-language utterances and evaluate how these models scale to a multi-language environment. Our aim is to find the best suitable combination of vector representation and models for the process of intent detection for code-mix utterances. We have evaluated the experiments on two different dataset consisting of only Code-Mix utterances and the other dataset consisting of English, Hindi, and Code-Mix(English-Hindi) utterances.","PeriodicalId":254272,"journal":{"name":"2018 International Conference on Electrical, Electronics, Communication, Computer, and Optimization Techniques (ICEECCOT)","volume":"113 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124223449","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: 8