2014 4th International Conference on Computer and Knowledge Engineering (ICCKE)最新文献_第2页

Learner's knowledge modeling using annotation and Bayesian network 基于标注和贝叶斯网络的学习者知识建模

2014 4th International Conference on Computer and Knowledge Engineering (ICCKE) Pub Date : 2014-12-22 DOI: 10.1109/ICCKE.2014.6993391

A. Kardan, Yosra Bahrani

{"title":"Learner's knowledge modeling using annotation and Bayesian network","authors":"A. Kardan, Yosra Bahrani","doi":"10.1109/ICCKE.2014.6993391","DOIUrl":"https://doi.org/10.1109/ICCKE.2014.6993391","url":null,"abstract":"Learner's knowledge assessment is very important in the e-learning system. Knowledge assessment is effective for knowledge gap discovery. Knowledge gap, Causes the learners do not understand educational content correctly. This paper presents a new method for learner's knowledge modeling based on knowledge gap discovery for concepts of educational content. There are two methods for learner's knowledge gap discovery: 1- Explicit Method 2- Implicit method. The explicit method is based on a questionnaire. In this method directly asks about various concepts of educational content from learners. Learner's answers show the level of learner's knowledge and knowledge gap regarding each concept. But, in the implicit method, knowledge gap discovery is done without direct questioning. In this paper, implicit method has been used by annotation. Annotation provide a way for learners to present their ideas and issues directly through comments, questions, and other reactions when learners as read. The main aim of this work is modeling knowledge and the knowledge gap of any learner to the concepts by Bayesian networks. The test project is done for 25 students in three fields (E-commerce, Computer, other) in three degrees (bachelors, master, PhD). The proposed method is evaluated so that the pre-test will be held for learners and the result of the pre-test is compared with the predicted knowledge.","PeriodicalId":152540,"journal":{"name":"2014 4th International Conference on Computer and Knowledge Engineering (ICCKE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131597198","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

Probabilistic two-dimensional canonical correlation analysis for face recognition 概率二维典型相关分析在人脸识别中的应用

2014 4th International Conference on Computer and Knowledge Engineering (ICCKE) Pub Date : 2014-12-22 DOI: 10.1109/ICCKE.2014.6993337

Homayun Afrabandpey, M. Safayani, Abdolreza Mirzaei

引用次数: 3

Multitask speaker profiling for estimating age, height, weight and smoking habits from spontaneous telephone speech signals 从自发电话语音信号中估计年龄、身高、体重和吸烟习惯的多任务说话人分析

2014 4th International Conference on Computer and Knowledge Engineering (ICCKE) Pub Date : 2014-12-22 DOI: 10.1109/ICCKE.2014.6993339

A. H. Poorjam, M. H. Bahari, H. Van hamme

{"title":"Multitask speaker profiling for estimating age, height, weight and smoking habits from spontaneous telephone speech signals","authors":"A. H. Poorjam, M. H. Bahari, H. Van hamme","doi":"10.1109/ICCKE.2014.6993339","DOIUrl":"https://doi.org/10.1109/ICCKE.2014.6993339","url":null,"abstract":"This paper proposes a novel approach for automatic estimation of four important traits of speakers, namely age, height, weight and smoking habit, from speech signals. In this method, each utterance is modeled using the i-vector framework which is based on the factor analysis on Gaussian Mixture Model (GMM) mean supervectors, and the Non-negative Factor Analysis (NFA) framework which is based on a constrained factor analysis on GMM weights. Then, Artificial Neural Networks (ANNs) and Least Squares Support Vector Regression (LSSVR) are employed to estimate age, height and weight of speakers from given utterances, and ANNs and logistic regression (LR) are utilized to perform smoking habit detection. Since GMM weights provide complementary information to GMM means, a score-level fusion of the i-vector-based and the NFA-based recognizers is considered for age and smoking habit estimation tasks to improve the performance. In addition, a multitask speaker profiling approach is proposed to evaluate the correlated tasks simultaneously and in interaction with each other, and consequently, to boost the accuracy in speaker age, height, weight and smoking habit estimations. To this end, a hybrid architecture involving the score-level fusion of the i-vector-based and the NFA-based recognizers is proposed to exploit the available information in both Gaussian means and Gaussian weights. ANNs are then employed to share the learned information with all tasks while they are learned in parallel. The proposed method is evaluated on telephone speech signals of National Institute for Standards and Technology (NIST) 2008 and 2010 Speaker Recognition Evaluation (SRE) corpora. Experimental results over 1194 utterances show the effectiveness of the proposed method in automatic speaker profiling.","PeriodicalId":152540,"journal":{"name":"2014 4th International Conference on Computer and Knowledge Engineering (ICCKE)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132650056","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: 24

RTLB-DSR: A load-balancing DSR based QoS routing protocol in MANETs RTLB-DSR:一种基于负载均衡DSR的QoS路由协议

2014 4th International Conference on Computer and Knowledge Engineering (ICCKE) Pub Date : 2014-12-22 DOI: 10.1109/ICCKE.2014.6993411

Hanif Maleki, M. Kargahi, S. Jabbehdari

引用次数: 9

Introducing a socio-inspired swarm intelligence algorithm for numerical function optimization 介绍一种社会启发的群体智能算法用于数值函数优化

2014 4th International Conference on Computer and Knowledge Engineering (ICCKE) Pub Date : 2014-12-22 DOI: 10.1109/ICCKE.2014.6993417

Javad Basiri, F. Taghiyareh

引用次数: 8

Constrained two-stage Kalman filter for target tracking 目标跟踪的约束两级卡尔曼滤波

2014 4th International Conference on Computer and Knowledge Engineering (ICCKE) Pub Date : 2014-12-22 DOI: 10.1109/ICCKE.2014.6993432

Mohammad-Reza Khabbazi, R. M. Esfanjani

引用次数: 2

2 Conditional tag estimation method for DFSA algorithms in RFID systems RFID系统中DFSA算法的条件标签估计方法

2014 4th International Conference on Computer and Knowledge Engineering (ICCKE) Pub Date : 2014-12-22 DOI: 10.1109/ICCKE.2014.6993449

M. HajMirzaei, Zahra Adelani

引用次数: 4

Blind image quality assessment of multi-degraded images 多重退化图像的盲图像质量评价

2014 4th International Conference on Computer and Knowledge Engineering (ICCKE) Pub Date : 2014-12-22 DOI: 10.1109/ICCKE.2014.6993396

Ehsanhosein Kalatehjari, F. Yaghmaee

引用次数: 1

Query-independent learning to rank RDF entity results of SPARQL queries 对SPARQL查询的RDF实体结果进行排序的查询独立学习

2014 4th International Conference on Computer and Knowledge Engineering (ICCKE) Pub Date : 2014-12-22 DOI: 10.1109/ICCKE.2014.6993425

Sara Latifi, M. Nematbakhsh

引用次数: 3

A two-stage shot boundary detection framework in the presence of fast movements: Application to soccer videos 快速运动中的两阶段镜头边界检测框架:在足球视频中的应用

2014 4th International Conference on Computer and Knowledge Engineering (ICCKE) Pub Date : 2014-12-22 DOI: 10.1109/ICCKE.2014.6993405

Farshad Bayat, M. Moin

引用次数: 2