Proceedings of the 2019 8th International Conference on Software and Computer Applications最新文献_第8页

Towards Smart Healthcare Management Based on Knowledge Graph Technology 基于知识图谱技术的智能医疗管理

Proceedings of the 2019 8th International Conference on Software and Computer Applications Pub Date : 2019-02-19 DOI: 10.1145/3316615.3316678

Lan Huang, Congcong Yu, Yang Chi, Xiaohui Qi, Hao Xu

{"title":"Towards Smart Healthcare Management Based on Knowledge Graph Technology","authors":"Lan Huang, Congcong Yu, Yang Chi, Xiaohui Qi, Hao Xu","doi":"10.1145/3316615.3316678","DOIUrl":"https://doi.org/10.1145/3316615.3316678","url":null,"abstract":"With the improvement of people's living standards, people pay more and more attention to healthcare, in which a healthy diet plays an important role. Therefore, a scientific knowledge management method about healthy diet which can integrate heterogeneous information from different sources and formats is urgently needed to reduce the information gaps and increase the utilization ratio of information. In this paper, we propose a healthy diet knowledge graph construction model that promotes the development of healthcare management. The model mainly consists of three modules: named entity recognition, relation recognition and entity relevance computation, which are implemented with conditional random fields, support vector machine and decision tree algorithms respectively. These three modules obtain good performances with 91.7%, 99% and 87% F1 score on the datasets from three different websites. Based on the above results, we build a healthy diet knowledge graph by using ontology which contains food, symptom, population, and nutrient element entities as well as relations between food and entities mentioned above, so that people can use it for diet recommendations and other tasks.","PeriodicalId":268392,"journal":{"name":"Proceedings of the 2019 8th International Conference on Software and Computer Applications","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123587422","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: 13

A Novel Efficient Query Strategy on Hibernate 一种新的基于Hibernate的高效查询策略

Proceedings of the 2019 8th International Conference on Software and Computer Applications Pub Date : 2019-02-19 DOI: 10.1145/3316615.3316717

Shuo Kuai, Yupeng Hu, Xinxiao Zhao, Dong Qin, Wentao Li, Xueqing Li

{"title":"A Novel Efficient Query Strategy on Hibernate","authors":"Shuo Kuai, Yupeng Hu, Xinxiao Zhao, Dong Qin, Wentao Li, Xueqing Li","doi":"10.1145/3316615.3316717","DOIUrl":"https://doi.org/10.1145/3316615.3316717","url":null,"abstract":"Database is an indispensable part of software development. In order to reduce unnecessary and redundant processes of accessing in database, the concept of Object-Relational Mapping (ORM) has been proposed and its corresponding applications have been widely accepted by developers. However, for a certain software system, accessing database systems is often one of the most common bottlenecks in performance improvement. In this paper, we propose the concept of \"reference column(s)\". In the actual business, there are many query operations with \"reference column(s)\" (non-primary) as parameters. Hibernate, as a popular ORM framework, provides excellent support for the above operation. Hibernate also implements a caching mechanism for storing query results. However, columns other than \"reference column(s)\" in these results may be frequently modified. Once any one of the above results has been updated, the corresponding searching could not be permitted to access the previous results storing in the cache. Accordingly, we propose a new hash-code based cache approach to avoid the emergence of the above problem. Extensive experiments on typical E-commerce datasets have been conducted to demonstrate the advantages of our approach.","PeriodicalId":268392,"journal":{"name":"Proceedings of the 2019 8th International Conference on Software and Computer Applications","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123829266","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: 1

Low-Level Human Action Change Detection Using the Motion History Image 基于运动历史图像的低层次人类动作变化检测

Proceedings of the 2019 8th International Conference on Software and Computer Applications Pub Date : 2019-02-19 DOI: 10.1145/3316615.3316725

Yohwan Noh, Dohoon Lee

{"title":"Low-Level Human Action Change Detection Using the Motion History Image","authors":"Yohwan Noh, Dohoon Lee","doi":"10.1145/3316615.3316725","DOIUrl":"https://doi.org/10.1145/3316615.3316725","url":null,"abstract":"Human action recognition is an active topic in computer vision. In recent years, tangible results have been shown through deep learning methods; however, at a very high computational cost. They may be suitable for video retrieval or video summarization of a movie or drama, but they are not suitable for the visual surveillance of human action, which should be analyzed in real time. In this study, we propose an action change detection method to reduce the computational cost. On the surveillance camera screen, anomalous actions such as movies and sports are frequently not observed, and simple actions are often repeated. Thus, it is very inefficient to continue to apply high cost action recognition methods on repeated actions. The proposed action change detection method decides whether the previous action of the person is the same as the current action. The action recognition method is applied only when it has determined that the action has changed. The action change detection process is as follows. First, extract the motion history image from the input video and create one-dimensional time-series data. Second, determine the action change using the change of time-series data trend by the threshold. Experiments on the proposed method were performed on the KTH dataset.","PeriodicalId":268392,"journal":{"name":"Proceedings of the 2019 8th International Conference on Software and Computer Applications","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127505042","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

Segmentation of Microscopic Breast Cancer Images for Cancer Detection 用于肿瘤检测的显微乳腺癌图像分割

Proceedings of the 2019 8th International Conference on Software and Computer Applications Pub Date : 2019-02-19 DOI: 10.1145/3316615.3316695

Hamit Altıparmak, Fatih Veysel Nurçin

引用次数: 0

A Survey on Privacy Preserving Data Mining Approaches and Techniques 隐私保护数据挖掘方法与技术综述

Proceedings of the 2019 8th International Conference on Software and Computer Applications Pub Date : 2019-02-19 DOI: 10.1145/3316615.3316632

M. M. Siraj, Nurul Adibah Rahmat, M. Din

{"title":"A Survey on Privacy Preserving Data Mining Approaches and Techniques","authors":"M. M. Siraj, Nurul Adibah Rahmat, M. Din","doi":"10.1145/3316615.3316632","DOIUrl":"https://doi.org/10.1145/3316615.3316632","url":null,"abstract":"In recent years, the importance of the Internet in our personal as well as our professional lives cannot be overstated as can be observed from the immense increase of its users. It therefore comes as no surprise that a lot of businesses are being carried out over the internet. It brings along privacy threats to the data and information of an organization. Data mining is the processing of analyze larger data in order to discover patterns and analyze hidden data concurring to distinctive sights for categorize into convenient information which is collected and assembled in common areas and other information necessities to eventually cut costs and increase revenue. In fact, the data mining has emerged as a significant technology for gaining knowledge from vast quantities of data. However, there was been growing concern that use of this technology is violating individual privacy. This tool aims to find useful patterns from large amount of data using by mining algorithms and approaches. The analysis of privacy preserving data mining (PPDM) algorithms should consider the effects of these algorithms in mining the results as well as in preserving privacy. Therefore, the success of privacy preserving data mining algorithms is measured in term of its performances, data utility, level of uncertainty, data anonymization, data randomization and so on based on data mining techniques and approaches are presented in this paper to analyze.","PeriodicalId":268392,"journal":{"name":"Proceedings of the 2019 8th International Conference on Software and Computer Applications","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116874056","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: 30

Smart City Bus Application with Quick Response (QR) Code Payment 具有快速响应(QR)码支付功能的智能城市公交应用程序

Proceedings of the 2019 8th International Conference on Software and Computer Applications Pub Date : 2019-02-19 DOI: 10.1145/3316615.3316718

Sim Liew Fong, D. Yung, F. Y. Ahmed, A. Jamal

引用次数: 24

A review of Convolutional Neural Networks in Remote Sensing Image 卷积神经网络在遥感图像中的研究进展

Proceedings of the 2019 8th International Conference on Software and Computer Applications Pub Date : 2019-02-19 DOI: 10.1145/3316615.3316712

Xinni Liu, Fengrong Han, K. Ghazali, I. Mohamed, Yue Zhao

引用次数: 19

Smart Transportation System Using RFID 使用RFID的智能交通系统

Proceedings of the 2019 8th International Conference on Software and Computer Applications Pub Date : 2019-02-19 DOI: 10.1145/3316615.3316719

Sim Liew Fong, Amir Ariff Azham bin Abu Bakar, F. Y. Ahmed, A. Jamal

引用次数: 7

Privacy Preserving of IP Address through Truncation Method in Network-based Intrusion Detection System 基于网络的入侵检测系统中IP地址截断法的隐私保护

Proceedings of the 2019 8th International Conference on Software and Computer Applications Pub Date : 2019-02-19 DOI: 10.1145/3316615.3316626

Yee Jian Chew, S. Ooi, Kok-Seng Wong, Y. Pang

{"title":"Privacy Preserving of IP Address through Truncation Method in Network-based Intrusion Detection System","authors":"Yee Jian Chew, S. Ooi, Kok-Seng Wong, Y. Pang","doi":"10.1145/3316615.3316626","DOIUrl":"https://doi.org/10.1145/3316615.3316626","url":null,"abstract":"Network-based Intrusion Detection System (IDS) is gaining wide attention from the research community since the past decades. While having a precise classification model in separating the normal and malicious network traffics is still remain as the ultimate goal, the privacy protection for network traffic database cannot be ignore as well. The impetuous ignorance of database privacy will continue to restrain governments, organisations and individuals in releasing the real and ontological network traces. The common solution to tackle this matter is anonymising the database through the statistical approach. Anonymising can be referred to masking, hiding or removing certain sensitive information from the database. Thus, this will be subsequently resulting in information loss. In this paper, a truncation method is explored to preserve the sensitive information of the network traffic database (i.e. IP addresses). The truncated database is then tested with 10 machine learning classifiers from Weka. We tested four different options of IP address truncation against the 6 percent of GureKDDCup dataset.","PeriodicalId":268392,"journal":{"name":"Proceedings of the 2019 8th International Conference on Software and Computer Applications","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129795351","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: 4

Managing Quality Assurance Challenges of DevOps through Analytics 通过分析管理DevOps的质量保证挑战

Proceedings of the 2019 8th International Conference on Software and Computer Applications Pub Date : 2019-02-19 DOI: 10.1145/3316615.3316670

Mahmoud Mohammad Ahmad Ibrahim, Sharifah Mashita Syed-Mohamad, M. Husin

{"title":"Managing Quality Assurance Challenges of DevOps through Analytics","authors":"Mahmoud Mohammad Ahmad Ibrahim, Sharifah Mashita Syed-Mohamad, M. Husin","doi":"10.1145/3316615.3316670","DOIUrl":"https://doi.org/10.1145/3316615.3316670","url":null,"abstract":"DevOps is an intermarriage between developmental practices and operational modalities. The methodology employs the practices of continuous integration and delivery and places the deployment pipeline as the main requirement to automate, deliver and operate software in a robust way, without compromising on the quality in the software development process. Over time, many systems and tools have been developed to implement the deployment pipeline and support the continuous delivery process. A pipeline splits the process of software delivery into various stages. Each stage is designed to verify the quality of new features from a new perspective to attest to the functionality and prevent either small or big errors from impacting the end users. The pipeline must provide a response and feedback loop to the concerned team and provide a window into the flow of changes that takes place. However, there is no clear rule to define what goes into a pipeline. This paper reviews the challenges of quality assurance of DevOps and provides tentative recommendations to deal with quality issues. Our proposed pipeline with analytic features is expected to provide accurate metrics on a real-time basis.","PeriodicalId":268392,"journal":{"name":"Proceedings of the 2019 8th International Conference on Software and Computer Applications","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130346165","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: 15