9th International Conference on Information Technology Convergence and Services (ITCSE 2020)最新文献

Advanced Rate Control Technologies for MVC MVC的高级速率控制技术

9th International Conference on Information Technology Convergence and Services (ITCSE 2020) Pub Date : 2020-05-30 DOI: 10.5121/csit.2020.100514

T. Yan, In-ho Ra, Na Song, Yu Youhao, Zhicheng Wu, Zhongyu Shi

引用次数: 0

Use of an IoT Technology to Analyse the Inertial Measurement of Smart Ping-pong Paddle 利用物联网技术分析智能乒乓球拍的惯性测量

9th International Conference on Information Technology Convergence and Services (ITCSE 2020) Pub Date : 2020-05-30 DOI: 10.5121/csit.2020.100522

R. Kanth, Tuomas Korpi, J. Heikkonen

引用次数: 0

An Automatic Detection of Fundamental Postures in Vietnamese Traditional Dances 越南传统舞蹈基本姿势的自动识别

9th International Conference on Information Technology Convergence and Services (ITCSE 2020) Pub Date : 2020-05-30 DOI: 10.5121/csit.2020.100524

Ngan-Khanh Chau, T. Ma

{"title":"An Automatic Detection of Fundamental Postures in Vietnamese Traditional Dances","authors":"Ngan-Khanh Chau, T. Ma","doi":"10.5121/csit.2020.100524","DOIUrl":"https://doi.org/10.5121/csit.2020.100524","url":null,"abstract":"Preserving and promoting the intangible cultural heritage is one of the essential problems of interest. In addition, the cultural heritage of the world has been accumulated and early respected during the development of human society. For preservation of traditional dances, this paper is one of the significant processed steps in our research sequence to build an intelligent storage repository that would help to manage the large-scale heterogeneous digital contents efficiently, particularly in dance domain. We concentrated on classifying the fundamental movements of Vietnamese Traditional Dances (VTDs), which are the foundations of automatically detecting the motions of the dancer's body parts. Moreover, we also propose a framework to classify basic movements through coupling a sequential aggregation of the DeepCNN architectures (to extract the features) and Support Vector Machine (to classify the movements). In this study, we detect and extract automatically the primary movements of VTDs, we then store the extracted concepts into an ontology that serves for reasoning, queryanswering, and searching dance videos.","PeriodicalId":201467,"journal":{"name":"9th International Conference on Information Technology Convergence and Services (ITCSE 2020)","volume":"398 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123372411","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

Industrial Duct Fan Maintenance Predictive Approach Based on Random Forest 基于随机森林的工业风管风机维护预测方法

9th International Conference on Information Technology Convergence and Services (ITCSE 2020) Pub Date : 2020-05-30 DOI: 10.5121/csit.2020.100516

M. Maashi, Nujood Alwhibi, Fatima Alamr, Rehab Alzahrani, Alanoud Alhamid, Nourah Altawallah

引用次数: 2

TPM Based Design for Enhanced Trust in SaaS Services 基于TPM的SaaS服务信任增强设计

9th International Conference on Information Technology Convergence and Services (ITCSE 2020) Pub Date : 2020-05-30 DOI: 10.5121/csit.2020.100520

Mustapha Hedabou, Ali Azougaghe, A. Bentajer

{"title":"TPM Based Design for Enhanced Trust in SaaS Services","authors":"Mustapha Hedabou, Ali Azougaghe, A. Bentajer","doi":"10.5121/csit.2020.100520","DOIUrl":"https://doi.org/10.5121/csit.2020.100520","url":null,"abstract":"On the past decade, Trusted Platform Modules (TPM) have become a valuable tool for providing a high level of trust on locally executing software. Indeed, in addition to its availability on most commodity computers, TPM are totally free of cost unlike other available Hardware-Based devices while they o er the same level of security. Enhancing trust in SaaS services regarding the security and the privacy of the hosted SaaS application services can turn out to be a pertinent application scope of TMP. In this paper we present a design for a trusted SaaS model that gives cloud users more con dence into SaaS services by leveraging TPM functionalities combined with a trusted source code certifying authority facility. In our design, the cloud computing provider hosting the SaaS services acts as a root of trust by providing nal cloud users insurance on the integrity of the SaaS application service running on its platform. A new mechanism of multisignature is developed for computing a join signature of SaaS service software by the trusted authority and TPM. A prototype implementation of the proposed design shows that the integrity of SaaS application service before and after it was launched on a cloud provider platform is guaranteed at low cost.","PeriodicalId":201467,"journal":{"name":"9th International Conference on Information Technology Convergence and Services (ITCSE 2020)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128914753","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

Safety Helmet Detection in Industrial Environment using Deep Learning 基于深度学习的工业环境安全帽检测

9th International Conference on Information Technology Convergence and Services (ITCSE 2020) Pub Date : 2020-05-30 DOI: 10.5121/csit.2020.100518

Ankit Kamboj, Nilesh U. Powar

{"title":"Safety Helmet Detection in Industrial Environment using Deep Learning","authors":"Ankit Kamboj, Nilesh U. Powar","doi":"10.5121/csit.2020.100518","DOIUrl":"https://doi.org/10.5121/csit.2020.100518","url":null,"abstract":"Safety is of predominant value for employees who are working in an industrial and construction environment. Real time Object detection is an important technique to detect violations of safety compliance in an industrial setup. The negligence in wearing safety helmets could be hazardous to workers, hence the requirement of the automatic surveillance system to detect persons not wearing helmets is of utmost importance and this would reduce the labor-intensive work to monitor the violations. In this paper, we deployed an advanced Convolutional Neural Network (CNN) algorithm called Single Shot Multibox Detector (SSD) to monitor violations of safety helmets. Various image processing techniques are applied to all the video data collected from the industrial plant. The practical and novel safety detection framework is proposed in which the CNN first detects persons from the video data and in the second step it detects whether the person is wearing the safety helmet. Using the proposed model, the deep learning inference benchmarking is done with Dell Advanced Tower workstation. The comparative study of the proposed approach is analysed in terms of detection accuracy (average precision) which illustrates the effectiveness of the proposed framework.","PeriodicalId":201467,"journal":{"name":"9th International Conference on Information Technology Convergence and Services (ITCSE 2020)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122546839","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

Contextual Factors Influencing the Design and Management of Health Information Systems’ Interoperability 影响卫生信息系统互操作性设计与管理的环境因素

9th International Conference on Information Technology Convergence and Services (ITCSE 2020) Pub Date : 2020-05-30 DOI: 10.5121/csit.2020.100502

Grace Kobusinge

{"title":"Contextual Factors Influencing the Design and Management of Health Information Systems’ Interoperability","authors":"Grace Kobusinge","doi":"10.5121/csit.2020.100502","DOIUrl":"https://doi.org/10.5121/csit.2020.100502","url":null,"abstract":"Due to their renowned great information processing and dissemination power, Health information systems (HIS) can readily avail past patient medical information across the continuum of care in order to facilitate ongoing treatment. However, a number of existing HIS are designed as vertical silos with no interoperability onuses and therefore, cannot exchange patient information. At the same time, there is limited knowledge about the intricacies and factors that surround HIS’ interoperability implementations. This study therefore, employs an institutional lens perspective to investigate contextual factors influencing HIS’ interoperability designing. Through this perspective, seven contextual factors were arrived at institutional autonomism, intended system goals, existing health-information-systems, national HIS implementation guidelines, interoperability standards, policy and resources in terms of money and labour. A further study implication is the use of institutional lens in making sense of the institutions’ context of integration in order to discover salient factors that might influence health-information-systems’ interoperability designing.","PeriodicalId":201467,"journal":{"name":"9th International Conference on Information Technology Convergence and Services (ITCSE 2020)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128356673","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

Hate Speech Detection of Arabic Shorttext 阿拉伯语短文本的仇恨语音检测

9th International Conference on Information Technology Convergence and Services (ITCSE 2020) Pub Date : 2020-05-30 DOI: 10.5121/csit.2020.100507

Abdullah Aref, Rana Husni Al Mahmoud, Khaled Taha, Mahmoud Al-Sharif

{"title":"Hate Speech Detection of Arabic Shorttext","authors":"Abdullah Aref, Rana Husni Al Mahmoud, Khaled Taha, Mahmoud Al-Sharif","doi":"10.5121/csit.2020.100507","DOIUrl":"https://doi.org/10.5121/csit.2020.100507","url":null,"abstract":"The aim of sentiment analysis is to automatically extract the opinions from a certain text and decide its sentiment. In this paper, we introduce the first publicly-available Twitter dataset on Sunnah and Shia (SSTD), as part of a religious hate speech which is a sub problem of the general hate speech. We, further, provide a detailed review of the data collection process and our annotation guidelines such that a reliable dataset annotation is guaranteed. We employed many stand-alone classification algorithms on the Twitter hate speech dataset, including Random Forest, Complement NB, DecisionTree, and SVM and two deep learning methods CNN and RNN. We further study the influence of word embedding dimensions FastText and word2vec. In all our experiments, all classification algorithms are trained using a random split of data (66% for training and 34% for testing). The two datasets were stratified sampling of the original dataset. The CNN-FastText achieves the highest F-Measure (52.0%) followed by the CNN-Word2vec (49.0%), showing that neural models with FastText word embedding outperform classical feature-based models.","PeriodicalId":201467,"journal":{"name":"9th International Conference on Information Technology Convergence and Services (ITCSE 2020)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133538491","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: 7

Free-text and Structured Clinical Time Series for Patient Outcome Predictions 自由文本和结构化临床时间序列的患者预后预测

9th International Conference on Information Technology Convergence and Services (ITCSE 2020) Pub Date : 2020-05-30 DOI: 10.5121/csit.2020.100511

D. Wyld, Outcome Predictions, Emilia Apostolova, Joe Morales, I. Koutroulis

引用次数: 0

Communication between Coroutines on Sunway Many-core Platform 双威多核平台上协同程序间的通信

9th International Conference on Information Technology Convergence and Services (ITCSE 2020) Pub Date : 2020-05-30 DOI: 10.5121/csit.2020.100505

Shaodi Li, Junmin Wu

{"title":"Communication between Coroutines on Sunway Many-core Platform","authors":"Shaodi Li, Junmin Wu","doi":"10.5121/csit.2020.100505","DOIUrl":"https://doi.org/10.5121/csit.2020.100505","url":null,"abstract":"Communication between parallel programs is an indispensable part of parallel computing. SW26010 is a heterogeneous many-core processor used to build the Sunway TaihuLight supercomputer, which is well suited for parallel computing. Our team is designing and implementing a coroutine scheduling system on SW26010 processor to improve its concurrency, it is very important and necessary to achieve communication between coroutines for the coroutine scheduling system in advance. Therefore, this paper proposes a communication system for data and information exchange between coroutines on SW26010 processor, which contains the following parts. First, we design and implement a producer-consumer mode channel communication based on ring buffer, and designs synchronization mechanism for condition of multi-producer and multi-consumer based on the different atomic operation on the MPE (management processing element) and the CPE (computing processing element) of SW26010. Next, we design a wake-up mechanism between the producer and the consumer, which reduces the waiting of the program for communication. At last, we test and analyse the performance of channel in different numbers of producers and consumers, draw the conclusion that when the number of producers and consumers increases, the channel performance will decrease.","PeriodicalId":201467,"journal":{"name":"9th International Conference on Information Technology Convergence and Services (ITCSE 2020)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131354829","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