2016 IEEE Region 10 Symposium (TENSYMP)最新文献_第4页

Toward hardware support for a flexible sketch-based network traffic monitoring system 面向硬件支持灵活的基于草图的网络流量监控系统

2016 IEEE Region 10 Symposium (TENSYMP) Pub Date : 2016-05-09 DOI: 10.1109/TENCONSPRING.2016.7519369

Theophilus Wellem, Yu-Kuen Lai, Chao-Yuan Huang, Wen-Yaw Chung

引用次数: 0

A static transliteration approach for assembly language translation 汇编语言翻译的静态音译方法

2016 IEEE Region 10 Symposium (TENSYMP) Pub Date : 2016-05-09 DOI: 10.1109/TENCONSPRING.2016.7519428

Jonathan Paul C. Cempron, C. Salinas, Jonathan Benedict Gonzales, R. Uy, Y. Hayakawa

引用次数: 0

Absolute Value Principal Components Analysis (AVPCA) and Parameter Estimation (PE) to bearing fault detection using rotor speed signal monitoring — A comparative study 基于转子转速信号监测的绝对主成分分析(AVPCA)和参数估计(PE)在轴承故障检测中的比较研究

2016 IEEE Region 10 Symposium (TENSYMP) Pub Date : 2016-05-09 DOI: 10.1109/TENCONSPRING.2016.7519434

M. Hamadache, Dongik Lee

引用次数: 1

A mobile application of American sign language translation via image processing algorithms 基于图像处理算法的美国手语翻译移动应用

2016 IEEE Region 10 Symposium (TENSYMP) Pub Date : 2016-05-09 DOI: 10.1109/TENCONSPRING.2016.7519386

Cheok Ming Jin, Z. Omar, M. Jaward

{"title":"A mobile application of American sign language translation via image processing algorithms","authors":"Cheok Ming Jin, Z. Omar, M. Jaward","doi":"10.1109/TENCONSPRING.2016.7519386","DOIUrl":"https://doi.org/10.1109/TENCONSPRING.2016.7519386","url":null,"abstract":"Due to the relative lack of pervasive sign language usage within our society, deaf and other verbally-challenged people tend to face difficulty in communicating on a daily basis. Our study thus aims to provide research into a sign language translator applied on the smartphone platform, due to its portability and ease of use. In this paper, a novel framework comprising established image processing techniques is proposed to recognise images of several sign language gestures. More specifically, we initially implement Canny edge detection and seeded region growing to segment the hand gesture from its background. Feature points are then extracted with Speeded Up Robust Features (SURF) algorithm, whose features are derived through Bag of Features (BoF). Support Vector Machine (SVM) is subsequently applied to classify our gesture image dataset; where the trained dataset is used to recognize future sign language gesture inputs. The proposed framework has been successfully implemented on smartphone platforms, and experimental results show that it is able to recognize and translate 16 different American Sign Language gestures with an overall accuracy of 97.13%.","PeriodicalId":166275,"journal":{"name":"2016 IEEE Region 10 Symposium (TENSYMP)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122303978","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: 61

DataTweet: An architecture enabling data-centric IoT services DataTweet:一个支持以数据为中心的物联网服务的架构

2016 IEEE Region 10 Symposium (TENSYMP) Pub Date : 2016-05-09 DOI: 10.1109/TENCONSPRING.2016.7519430

S. K. Datta, C. Bonnet, Rui Pedro Ferreira Da Costa, J. Harri

引用次数: 30

An observation attacks resistant PIN-entry scheme using localized haptic feedback 一种使用局部触觉反馈的抗观察攻击PIN-entry方案

2016 IEEE Region 10 Symposium (TENSYMP) Pub Date : 2016-05-09 DOI: 10.1109/TENCONSPRING.2016.7519378

Hao-Jun Xu, W. Ku, Y. Dan

引用次数: 2

High speed 3D object retrieval using skewness value 基于偏度值的高速三维物体检索

2016 IEEE Region 10 Symposium (TENSYMP) Pub Date : 2016-05-09 DOI: 10.1109/TENCONSPRING.2016.7519435

Vicky Sintunata, T. Aoki

引用次数: 0

Anomaly detection based on profile signature in network using machine learning technique 基于特征签名的网络异常检测

2016 IEEE Region 10 Symposium (TENSYMP) Pub Date : 2016-05-09 DOI: 10.1109/TENCONSPRING.2016.7519380

Kayvan Atefi, S. Yahya, Amirali Rezaei, Siti Hazyanti Binti Mohd Hashim

引用次数: 9

Web page access prediction using hierarchical clustering based on modified levenshtein distance and higher order Markov model 基于改进levelshtein距离和高阶马尔可夫模型的网页访问预测

2016 IEEE Region 10 Symposium (TENSYMP) Pub Date : 2016-05-09 DOI: 10.1109/TENCONSPRING.2016.7519368

B T Harish Kumar, L. Vibha, K R Venugopal

{"title":"Web page access prediction using hierarchical clustering based on modified levenshtein distance and higher order Markov model","authors":"B T Harish Kumar, L. Vibha, K R Venugopal","doi":"10.1109/TENCONSPRING.2016.7519368","DOIUrl":"https://doi.org/10.1109/TENCONSPRING.2016.7519368","url":null,"abstract":"Web Page access prediction is a challenging task in the current scenario, which draws the attention of many researchers. Predictions need to keep track of history data to analyze the usage behavior of the users. Web Usage behavior of a user can be analyzed using the web log file of a specific website. User behavior can be analyzed by observing the navigation patterns. This approach requires user session identification, clustering the sessions into similar clusters and developing a model for prediction using the current and earlier accesses. Most of the previous works in this field have used K-Means clustering technique with Euclidean distance for computation. The drawbacks of K-Means is that deciding on the number of clusters, choosing the initial random center are difficult and the order of page visits are not considered. The proposed research work uses hierarchical clustering technique with modified Levenshtein distance, Page Rank using access time length, frequency and higher order Markov model for prediction. Experimental results prove that the proposed approach for prediction gives better accuracy over the existing techniques.","PeriodicalId":166275,"journal":{"name":"2016 IEEE Region 10 Symposium (TENSYMP)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127020384","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: 11

AppLERT: A mobile application for incident and disaster notification for Metro Manila AppLERT:马尼拉大都会事件和灾难通知的移动应用程序

2016 IEEE Region 10 Symposium (TENSYMP) Pub Date : 2016-05-09 DOI: 10.1109/TENCONSPRING.2016.7519420

Bernie S. Fabito, Francis F. Balahadia, Jade Devin N. Cabatlao

引用次数: 21