2014 4th World Congress on Information and Communication Technologies (WICT 2014)最新文献_第2页

GPU fast and robust computation for barycentric coordinates and intersection of planes using projective representation GPU快速和鲁棒的计算质心坐标和平面的相交使用投影表示

2014 4th World Congress on Information and Communication Technologies (WICT 2014) Pub Date : 2014-12-01 DOI: 10.1109/WICT.2014.7077298

V. Skala

引用次数: 1

Evaluate the performance of downlink LTE systems in multi-path channels 评估下行链路LTE系统在多径信道中的性能

2014 4th World Congress on Information and Communication Technologies (WICT 2014) Pub Date : 2014-12-01 DOI: 10.1109/WICT.2014.7077307

Patteti Krishna, T. Kumar, K. K. Rao

引用次数: 0

Performance analysis of New Time Varying LMS (NTVLMS) adaptive filtering algorithm in noise cancellation system for speech enhancement 新型时变LMS自适应滤波算法在语音增强降噪系统中的性能分析

2014 4th World Congress on Information and Communication Technologies (WICT 2014) Pub Date : 2014-12-01 DOI: 10.1109/WICT.2014.7076909

Siddappaji, K. Sudha

引用次数: 9

A new approach to hash function construction for textual data: A comparison 文本数据哈希函数构造的一种新方法:比较

2014 4th World Congress on Information and Communication Technologies (WICT 2014) Pub Date : 2014-12-01 DOI: 10.1109/WICT.2014.7077299

V. Skala, Radek Petruska

引用次数: 1

Data quality challenges: A content analysis in the e-health domain 数据质量挑战:电子医疗领域的内容分析

2014 4th World Congress on Information and Communication Technologies (WICT 2014) Pub Date : 2014-12-01 DOI: 10.1109/WICT.2014.7077311

Marna Botha, A. Botha, M. Herselman

引用次数: 14

Automatic accident location detection system (AALDS) 自动事故定位探测系统

2014 4th World Congress on Information and Communication Technologies (WICT 2014) Pub Date : 2014-12-01 DOI: 10.1109/WICT.2014.7077303

K. N. Goh, J. Jaafar, E. E. Mustapha, E. Goh

{"title":"Automatic accident location detection system (AALDS)","authors":"K. N. Goh, J. Jaafar, E. E. Mustapha, E. Goh","doi":"10.1109/WICT.2014.7077303","DOIUrl":"https://doi.org/10.1109/WICT.2014.7077303","url":null,"abstract":"Road transportation has revolutionized the way we travel and transport goods. The increasing number of road users is proportionate with the increasing number of accidents, which could include fatalities. MERS 999 is an effort by the Malaysian government to integrate all the emergency number service system. Reporting accidents has its challenges; mainly there exist communication gap in relaying location information to the operator. This, in turn, causes slow response to the situation. In addition, airbag crash sensors cover only limited angles, which detects frontal and side collision. The objective of this paper is to develop an integrative system that is able to speed up the process of reporting accidents. Our prototype, named as Accident Location Detection System (AALDS) includes an accident locator device, accident management website and SMS system. A hardware prototype was developed using components like auto-dialer, accelerometer, GPS and GSM components. Haversine algorithm was modified to enable better efficiency in searching the nearest hospital to the accident location. Results from our system testing have revealed time saving of 60% in comparison to MERS 999. The functionalities of this system will enhance the current emergency response service by providing a platform for reporting and responding to accidents efficiently. This will enable the authorities to provide faster medical attention to the public, which will reduce fatality rate.","PeriodicalId":439852,"journal":{"name":"2014 4th World Congress on Information and Communication Technologies (WICT 2014)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129514813","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: 5

Cloudlet-based cyber foraging framework for distributed video surveillance provisioning 基于cloudlet的分布式视频监控网络觅食框架

2014 4th World Congress on Information and Communication Technologies (WICT 2014) Pub Date : 2014-12-01 DOI: 10.1109/WICT.2014.7076905

A. M. Ali, N. M. Ahmad, A. Amin

{"title":"Cloudlet-based cyber foraging framework for distributed video surveillance provisioning","authors":"A. M. Ali, N. M. Ahmad, A. Amin","doi":"10.1109/WICT.2014.7076905","DOIUrl":"https://doi.org/10.1109/WICT.2014.7076905","url":null,"abstract":"Continuous monitoring activities in surveillance system generate massive amount of data to be transferred from Internet-of-Things (IoT) devices (i.e., cameras and sensors) to a centralized processing unit for analysis. However, several issues need to be addressed, including data migration over bandwidth limited and high latency communication networks, and the heterogeneous nature of data obtained from the surveillance system. The aim of this paper is to develop a scalable and lightweight intelligent distributed surveillance system that make use of an integrated framework of Internet-of-Things (IoT) and cloud computing. It leverages on the pervasiveness in IoT and ubiquitous property of cloud computing technology. This paper introduces the concept of bringing cloud closer to the IoT in order to address the resource poverty of IoT and the dependency for massive data transmission to distant cloud. For providing real-time on-site object detection, this paper instantiates a cloudlet on resource-rich nearby infrastructure which is connected to the IoT devices for distributed retrieval and processing of critical and sensitive data.","PeriodicalId":439852,"journal":{"name":"2014 4th World Congress on Information and Communication Technologies (WICT 2014)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114648502","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: 22

De-noising analysis of mammogram images in the wavelet domain using hard and soft thresholding 基于硬阈值和软阈值的小波域乳房x线图像去噪分析

2014 4th World Congress on Information and Communication Technologies (WICT 2014) Pub Date : 2014-12-01 DOI: 10.1109/WICT.2014.7077293

Saima Anwar Lashari, R. Ibrahim, N. Senan

引用次数: 11

Pattern recognition with rejection: Application to handwritten digits 带拒绝的模式识别:应用于手写数字

2014 4th World Congress on Information and Communication Technologies (WICT 2014) Pub Date : 2014-12-01 DOI: 10.1109/WICT.2014.7077288

W. Homenda, Marcin Luckner

引用次数: 2

Single channel sEMG muscle fatigue prediction: An implementation using least square support vector machine 单通道表面肌电信号肌肉疲劳预测:使用最小二乘支持向量机的实现

2014 4th World Congress on Information and Communication Technologies (WICT 2014) Pub Date : 2014-12-01 DOI: 10.1109/WICT.2014.7077287

N. S. Ahmad Sharawardi, Y. Choo, S. Chong, A. Muda, O. Goh

{"title":"Single channel sEMG muscle fatigue prediction: An implementation using least square support vector machine","authors":"N. S. Ahmad Sharawardi, Y. Choo, S. Chong, A. Muda, O. Goh","doi":"10.1109/WICT.2014.7077287","DOIUrl":"https://doi.org/10.1109/WICT.2014.7077287","url":null,"abstract":"Surface electromyogram (sEMG) signal is commonly used for muscle fatigue analysis in clinical rehabilitation studies. Prediction results based on sEMG signals are promising because muscle contradiction can be easily characterized using sEMG signals. However, the prediction results usually deteriorate significantly when noise exist during data acquisition. Noise happens due to many factors ranging from hardware, software to procedure flaws. This investigation is aimed to assess the performance of the Least Square SVM model in predicting muscle fatigue using single channel sEMG signal. The root mean square, median frequency, and mean frequency features were extracted from two sets of raw sEMG signals captured at the multifidus (for low back pain) and flexor carpi radialis (for forearm muscle fatigue) muscles. The proposed LS-SVM technique were used to build the prediction rule-base separately for both the datasets. The implementation, testing and verification were performed in Matlab environment. The k-nearest neighbour and artificial neural network were used as the benchmarking techniques in results comparison and analysis. LS-SVM technique is proven good against the benchmarking techniques on classification accuracy and area under ROC curve. The ANOVA and Tukey HSD post hoc test were used to further validate the significant of the comparison results on both accuracy and AUC measurements.","PeriodicalId":439852,"journal":{"name":"2014 4th World Congress on Information and Communication Technologies (WICT 2014)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125708650","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: 14