2016 8th International Conference on Computational Intelligence and Communication Networks (CICN)最新文献_第10页

Selection Method of Accumulator in HCU Based on Modeling and Simulation 基于建模与仿真的高压控制单元蓄能器选型方法

2016 8th International Conference on Computational Intelligence and Communication Networks (CICN) Pub Date : 2016-12-01 DOI: 10.1109/CICN.2016.136

W. Xiaodong, Qin Lingguang

引用次数: 0

Analysis of Multilayer Quantum Dot for Solar Cells 太阳能电池用多层量子点分析

2016 8th International Conference on Computational Intelligence and Communication Networks (CICN) Pub Date : 2016-12-01 DOI: 10.1109/CICN.2016.114

Prateek Kumar, Anurag, Balwinder Singh

引用次数: 1

Dual Band THz Antenna Using T Structures and Effect of Substrate Volume on Antenna Parameters T型结构双波段太赫兹天线及其基板体积对天线参数的影响

2016 8th International Conference on Computational Intelligence and Communication Networks (CICN) Pub Date : 2016-12-01 DOI: 10.1109/CICN.2016.43

M. Khulbe, M. Tripathy, H. Parthasarthy, J. Dhondhiyal

引用次数: 4

A Genetic Based Improved Load Balanced Min-Min Task Scheduling Algorithm for Load Balancing in Cloud Computing 基于遗传的改进负载均衡最小最小任务调度算法在云计算中的应用

2016 8th International Conference on Computational Intelligence and Communication Networks (CICN) Pub Date : 2016-12-01 DOI: 10.1109/CICN.2016.139

S. S. Rajput, V. S. Kushwah

引用次数: 38

Slotted Ground Miniaturized UWB Antenna Metamaterial Inspired for WLAN and WiMAX Applications 用于WLAN和WiMAX应用的开槽地小型化UWB天线超材料

2016 8th International Conference on Computational Intelligence and Communication Networks (CICN) Pub Date : 2016-12-01 DOI: 10.1109/CICN.2016.48

R. Saraswat, A. K. Chaturvedi, Vinita Sharma, Jagmohan

引用次数: 9

No-reference Image Quality Assessment Algorithm Based on Wavelet Energy and Texture Analysis 基于小波能量和纹理分析的无参考图像质量评价算法

2016 8th International Conference on Computational Intelligence and Communication Networks (CICN) Pub Date : 2016-12-01 DOI: 10.1109/CICN.2016.70

Yao Lyu, Yingyun Yang

引用次数: 0

Categorical Data Analysis and Pattern Mining of Top Colleges in India by Using Twitter Data 基于Twitter数据的印度顶尖大学分类数据分析与模式挖掘

2016 8th International Conference on Computational Intelligence and Communication Networks (CICN) Pub Date : 2016-12-01 DOI: 10.1109/CICN.2016.73

Nehal Mamgain, B. Pant, A. Mittal

引用次数: 5

Data Mining with Fuzzy Method Towards Intelligent Questions Categorization in E-Learning 面向网络学习智能问题分类的模糊数据挖掘方法

2016 8th International Conference on Computational Intelligence and Communication Networks (CICN) Pub Date : 2016-12-01 DOI: 10.1109/CICN.2016.140

V. P. Mahatme, K. Bhoyar

{"title":"Data Mining with Fuzzy Method Towards Intelligent Questions Categorization in E-Learning","authors":"V. P. Mahatme, K. Bhoyar","doi":"10.1109/CICN.2016.140","DOIUrl":"https://doi.org/10.1109/CICN.2016.140","url":null,"abstract":"These days e-learning has gained a great deal of importance in education and training field. Many universities and colleges are providing online courses through internet. Online examinations with multiple-choice questions are being increasingly used in education system mostly in entrance examinations and competitive examinations. Advantage of online examination is automation in evaluation process and thereby removing the personal bias towards the students. For this purpose, academic institutions are using Learning Management Systems extensively. Moodle, the open-source learning management system is mostly preferred. It is another option to proprietary online learning solutions. In fact, student’s performance cannot be evaluated and assessed only by right and wrong answers in online examination. In proposed experiment an attempt is made to make the examination assessment intelligent. Data mining which is very popularly used in various domains including business but less explored in academic domain. It can be effectively used to mine data generated from e-learning systems. This paper explores the use of data mining algorithm with soft computing technique in question categorization. Proposed work decides the level of difficulty of questions. To categories the questions into different categories like as easy, moderate and tough, fuzzy c-means clustering is used. Along with this, performance of students attempting easy, moderate and tough questions is assessed.","PeriodicalId":189849,"journal":{"name":"2016 8th International Conference on Computational Intelligence and Communication Networks (CICN)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126296037","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

Comparing Handwritten Character Recognition by AdaBoostClassifier and KNeighborsClassifier AdaBoostClassifier与KNeighborsClassifier手写体字符识别的比较

2016 8th International Conference on Computational Intelligence and Communication Networks (CICN) Pub Date : 2016-12-01 DOI: 10.1109/CICN.2016.59

Vishwam Jaimini Pandya

引用次数: 4

Low Cost Full Duplex Wireless Glove for Static and Trajectory Based American Sign Language Translation to Multimedia Output 基于静态和轨迹的美国手语多媒体翻译低成本全双工无线手套

2016 8th International Conference on Computational Intelligence and Communication Networks (CICN) Pub Date : 2016-12-01 DOI: 10.1109/CICN.2016.133

Dhananjai Bajpai, V. Mishra

{"title":"Low Cost Full Duplex Wireless Glove for Static and Trajectory Based American Sign Language Translation to Multimedia Output","authors":"Dhananjai Bajpai, V. Mishra","doi":"10.1109/CICN.2016.133","DOIUrl":"https://doi.org/10.1109/CICN.2016.133","url":null,"abstract":"This paper provides a full duplex, low cost, portable and efficient applicative architecture for receiving, transmitting and translating static or trajectory based American Sign Language (ASL) gestures into different multimedia outputs. It consists of one six axis motion processing unit, five customized optical bend sensors and three contact sensors which are used to send a stream of digital sensory data to AVR-328 based Central Processing Unit (CPU). CPU uses Kalman filter to stabilize real time pitch, roll values and uses K-Nearest Neighbor (KNN) algorithm to find nearest neighbors for incoming sensory stream. When input data stream successfully satisfies specific set of neighbors, then output is produced in terms of text and speech using PWM based Text to Speech (TTS) algorithm. Serial port of the CPU is used to wirelessly send this output to various secondary computation devices for displaying multimedia outputs, whereas messages from these secondary devices are received over the same protocol, which are directly displayed on LCD of glove. Further, this architecture is programmed to create, or customize the database and final outputs.","PeriodicalId":189849,"journal":{"name":"2016 8th International Conference on Computational Intelligence and Communication Networks (CICN)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132024685","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