2015 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC)最新文献_第7页

Efficient network selection using game theory in a heterogeneous wireless network 基于博弈论的异构无线网络高效网络选择

2015 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC) Pub Date : 2015-12-01 DOI: 10.1109/ICCIC.2015.7435735

Manisha, N. P. Singh

引用次数: 8

Performance of DS-CDMA and MC-CDMA systems in Gaussian and Rayleigh fading channels 高斯和瑞利衰落信道下DS-CDMA和MC-CDMA系统的性能

2015 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC) Pub Date : 2015-12-01 DOI: 10.1109/ICCIC.2015.7435766

O. Wojuola, S. Mneney, V. Srivastava

引用次数: 5

Comparision of PID controller & adaptive neuro fuzzy controller for robot manipulator 机械臂PID控制器与自适应神经模糊控制器的比较

2015 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC) Pub Date : 2015-12-01 DOI: 10.1109/ICCIC.2015.7435761

R. Gupta, S. Chauhan

引用次数: 8

A framework to handle data heterogeneity contextual to medical big data 一种处理医疗大数据数据异构的框架

2015 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC) Pub Date : 2015-12-01 DOI: 10.1109/ICCIC.2015.7435779

C. Sindhu, N. Hegde

引用次数: 8

From probabilistic computing approach to probabilistic rough set for solving problem related to uncertainty under machine learning 从概率计算方法到概率粗糙集，解决机器学习下的不确定性问题

2015 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC) Pub Date : 2015-12-01 DOI: 10.1109/ICCIC.2015.7435789

Subrata Paul, A. Mitra, K. Rajulu

{"title":"From probabilistic computing approach to probabilistic rough set for solving problem related to uncertainty under machine learning","authors":"Subrata Paul, A. Mitra, K. Rajulu","doi":"10.1109/ICCIC.2015.7435789","DOIUrl":"https://doi.org/10.1109/ICCIC.2015.7435789","url":null,"abstract":"Box and Tiao suggested about the prior distribution, which according to them is hypothetically representing the knowledge about anonymous constraints prior to the availability of data. It acts as a productive role in Bayesian analysis. Further, allotments of such kind also represent former knowledge or relative ignorance [4]. The chance of occurrence or predictability is defined by the term Probability. During the availability of partial information related to the result, the calculation becomes more challenging. Even the partial results are also not available in some real world scenario. Several literatures are available in this direction. Pawlak's Rough sets, decision algorithms and Bayes Theorem is in the used to analyze the result in same direction. In our paper, we have extended our work where we have thoroughly studied and tried to create a relationship from probabilistic computing and Rough sets. We have further extended our study the importance of decision making by the concept of probabilistic rough set. Generally, the paper presents a kind of survey, where we intend to model a decision based system which can work efficiently under uncertainty.","PeriodicalId":276894,"journal":{"name":"2015 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126111776","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 analysis of IEC 61850 Edition-I and II standards for substation automation IEC 61850版- i和II变电站自动化标准的比较分析

2015 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC) Pub Date : 2015-12-01 DOI: 10.1109/ICCIC.2015.7435756

Aditya Khavnekar, Sharad Wagh, Avinash More

{"title":"Comparative analysis of IEC 61850 Edition-I and II standards for substation automation","authors":"Aditya Khavnekar, Sharad Wagh, Avinash More","doi":"10.1109/ICCIC.2015.7435756","DOIUrl":"https://doi.org/10.1109/ICCIC.2015.7435756","url":null,"abstract":"Electrical energy is the backbone of our global society. Its reliable supply from the power utilities via complex network requires seamless control. Substation is a crucial element of power grid facilitating the efficient transmission and distribution of electricity to the consumers. In order to provide a standardized framework for substation automation the International Electro technical Commission (IEC) introduced the IEC 61850 standard for power grids. IEC 61850 Edition-I has established itself as a global communication standard for substation automation by integrating electrical equipment into control systems in power utilities. However the edition-I had encountered amounts of inconsistencies and shortcomings, to rectify them IEC 61850 Edition-II standard was released in June 2010. The edition-II proposes to boost the level of communication consistency by specifying network redundancy. The IEC 61850 consists of a group of standards, under which the IEC 62439 standard defines the Parallel Redundancy Protocol (PRP) and High Availability Seamless Redundancy (HSR) protocol to attain zero recovery time. This paper is a comparative study of IEC 61850 Edition-I and Edition-II which broadly focuses on the enhancement of communication reliability. Further we also discuss the future challenges and the methods to overcome them. The major challenge of handling of the duplicated data in the PRP and HSR mechanism has been discussed with the proposed solution of using a Link Redundancy Entity (LRE) and Redundancy Control Trailer (RCT). Also the edition-II expands its horizon from substation automation systems to other application areas (Distributed energy resources) which indicates the significance of IEC 61850 standards.","PeriodicalId":276894,"journal":{"name":"2015 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126003942","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: 10

Transient behavior analysis of induction motor for temperature variations through d-q modelling 用d-q模型分析感应电机温度变化的瞬态行为

2015 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC) Pub Date : 2015-12-01 DOI: 10.1109/ICCIC.2015.7435704

Gurunayk C. Nayak, Deepa Kokati, S. Joshi, P. Venkanagouda

引用次数: 2

One-class support vector machine based undersampling: Application to churn prediction and insurance fraud detection 基于欠采样的一类支持向量机:在客户流失预测和保险欺诈检测中的应用

2015 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC) Pub Date : 2015-12-01 DOI: 10.1109/ICCIC.2015.7435726

G. G. Sundarkumar, V. Ravi, V. Siddeshwar

{"title":"One-class support vector machine based undersampling: Application to churn prediction and insurance fraud detection","authors":"G. G. Sundarkumar, V. Ravi, V. Siddeshwar","doi":"10.1109/ICCIC.2015.7435726","DOIUrl":"https://doi.org/10.1109/ICCIC.2015.7435726","url":null,"abstract":"In this paper, we propose One Class support vector machine (OCSVM) based undersampling. To demonstrate the effectiveness of the proposed methodology, we worked on Automobile Insurance fraud dataset and Credit card customer churn dataset taken from literature. We employed Decision Tree (DT), Support Vector Machine (SVM), Logistic Regression (LR), Probabilistic Neural Network (PNN) and Group Method of Data Handling (GMDH) for classification purpose. We observed significant improvement with respect to the Area Under Receiver Operating Characteristic Curve (AUC) over other techniques. For automobile insurance dataset, undersampling with the sigmoid kernel yielded AUC of 7605 when compared with Sundar kumar and Ravi, Vasu and Ravi, Farquad [9,12,47] with respect to Decision tree, while for Credit card customer churn dataset, undersampling with the radial basis kernel (proposed method) yielded significant performance with respect to DT (AUC 8506.5). We preferred DT over SVM (AUC 8728.5) as there is no statistically significant difference between them. Finally, we recommend DT over other classifiers as it also yields \"if-then\" rules, while achieving high AUC.","PeriodicalId":276894,"journal":{"name":"2015 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC)","volume":"183 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123083226","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: 47

An approach of cryptography and steganography using rotor cipher for secure transmission 一种利用转子密码进行加密和隐写的安全传输方法

2015 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC) Pub Date : 2015-12-01 DOI: 10.1109/ICCIC.2015.7435669

S. Sriram, B. Karthikeyan, V. Vaithiyanathan, M. M. Anishin Raj

引用次数: 16

A single acting syringe pump based on Raspberry Pi - SOC 基于树莓派SOC的单作用注射泵

2015 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC) Pub Date : 2015-12-01 DOI: 10.1109/ICCIC.2015.7435694

K. Akash, M. Kumar, N. Venkatesan, Muniyandi Venkatesan

{"title":"A single acting syringe pump based on Raspberry Pi - SOC","authors":"K. Akash, M. Kumar, N. Venkatesan, Muniyandi Venkatesan","doi":"10.1109/ICCIC.2015.7435694","DOIUrl":"https://doi.org/10.1109/ICCIC.2015.7435694","url":null,"abstract":"Controlled and precise delivery of fluid is one of the essential requirement in many fluid flow applications such as micro fluidics, Micro Electro Mechanical Systems, micro-machining and in medicinal biological systems. Such deliveries are commonly achieved using syringe pump which generally employs syringes driven by an electric motor. In this work a syringe pump is operated with a Raspberry Pi - System on Single Chip, which is more user friendly than a control with an ordinary microcontroller. It runs on Linux platform which is easy to code and control using Python language. The syringe pump is actuated by stepper motor which has 200 steps per revolution so that precise flow rate is possible compared to other electrical actuators. The stepper is connected to a Dual H-Bridge L293D motor driver, which in turn is powered through the GPIO (General Purpose Input/Output) pins - an integral part of the Raspberry pi. Lead screw mechanism is used in this work to transmit rotary motion of the motor to linear motion of syringe. The pitch length travelled by the screw is minimal and controllable, resulting in a precise flow rate of the fluid which is measured experimentally.","PeriodicalId":276894,"journal":{"name":"2015 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC)","volume":"106 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131607202","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: 18