2018 20th International Conference on Advanced Communication Technology (ICACT)最新文献_第7页

Capacity-aware key partitioning scheme for heterogeneous big data analytic engines 异构大数据分析引擎的容量感知密钥划分方案

2018 20th International Conference on Advanced Communication Technology (ICACT) Pub Date : 2018-02-01 DOI: 10.23919/ICACT.2018.8323921

Muhammad Hanif, Choonhwa Lee

{"title":"Capacity-aware key partitioning scheme for heterogeneous big data analytic engines","authors":"Muhammad Hanif, Choonhwa Lee","doi":"10.23919/ICACT.2018.8323921","DOIUrl":"https://doi.org/10.23919/ICACT.2018.8323921","url":null,"abstract":"Big data and cloud computing became the centre of interest for the past decade. With the increase of data size and different cloud application, the idea of big data analytics become very popular both in industry and academia. The research communities in industry and academia never stopped trying to come up with the fast, robust, and fault tolerant analytic engines. MapReduce becomes one of the popular big data analytic engine over the past few years. Hadoop is a standard implementation of MapReduce framework for running data-intensive applications on the clusters of commodity servers. By thoroughly studying the framework we find out that the shuffle phase, all-to-all input data fetching phase in reduce task significantly affect the application performance. There is a problem of variance in both the intermediate key's frequencies and their distribution among data nodes throughout the cluster in Hadoop's MapReduce system. This variance in system causes network overhead which leads to unfairness on the reduce input among different data nodes in the cluster. Because of the above problems, applications experience performance degradation due to shuffle phase of MapReduce applications. We develop a new novel algorithm; unlike previous systems our algorithm considers each node's capabilities as heuristics to decide a better available trade-off for the locality and fairness in the system. By comparing with the default Hadoop's partitioning algorithm and Leen partitioning algorithm: a). In case of 2 million key-value pairs to process, on the average our approach achieve better resource utilization by about 19%, and 9%, in that order; b). In case of 3 million key-value pairs to process, our approach achieve near optimal resource utilization by about 15%, and 7%, respectively.","PeriodicalId":228625,"journal":{"name":"2018 20th International Conference on Advanced Communication Technology (ICACT)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116483556","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

A nonlinear decision tree based classification approach to predict the Parkinson's disease using different feature sets of voice data 基于非线性决策树的分类方法，利用语音数据的不同特征集预测帕金森病

2018 20th International Conference on Advanced Communication Technology (ICACT) Pub Date : 2018-02-01 DOI: 10.23919/ICACT.2018.8323863

S. Aich, K. Younga, Kueh Lee Hui, A. Al-Absi, M. Sain

{"title":"A nonlinear decision tree based classification approach to predict the Parkinson's disease using different feature sets of voice data","authors":"S. Aich, K. Younga, Kueh Lee Hui, A. Al-Absi, M. Sain","doi":"10.23919/ICACT.2018.8323863","DOIUrl":"https://doi.org/10.23919/ICACT.2018.8323863","url":null,"abstract":"In the past few years, lot of researchers are working to get some breakthrough for early detection of Parkinson's disease. As the old age population is increasing at a higher rate as well as it is predicted that the old age population will increase to a much higher total by 2050, it's a become a rising concern to the developed countries because the cost due to the healthcare service of these disease is really high. Parkinson's disease (PD) belongs to the group of neurological disorder, which directly affect the bra in cells and the effect is shown in terms of movement, voice and other cognitive disabilities. Researchers are keep working on different fields such as gait analysis as well as on speech analysis to find the predictors of the Parkinson's disease. Recently machine learning based approach has been used by many researchers across the field because of its accuracy on the complex data. Machine learning based approach has been used in many cases of Parkinson's disease using gait data as well as voice data. However, so far no body ha s compared the performance metrics using different feature sets by applying non-linear based classification approach based on the voice data. So in this paper we have proposed a new approach by comparing the performance metrics with different feature sets such as original feature sets as well as Principal component Analysis based feature reduction technique for selecting the feature sets. We have used non-linear based classification approach to compare the performance metrics. We have found an accuracy of 96.83% using random forest classifiers using PCA based feature sets. This analysis will help the clinicians to differentiate the PD group from healthy group based on the voice data.","PeriodicalId":228625,"journal":{"name":"2018 20th International Conference on Advanced Communication Technology (ICACT)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131881014","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: 47

Smart traffic management system using Internet of Things 基于物联网的智能交通管理系统

2018 20th International Conference on Advanced Communication Technology (ICACT) Pub Date : 2018-02-01 DOI: 10.23919/ICACT.2018.8323769

Sabeen Javaid, Ali Sufian, Saima Pervaiz, Mehak Tanveer

{"title":"Smart traffic management system using Internet of Things","authors":"Sabeen Javaid, Ali Sufian, Saima Pervaiz, Mehak Tanveer","doi":"10.23919/ICACT.2018.8323769","DOIUrl":"https://doi.org/10.23919/ICACT.2018.8323769","url":null,"abstract":"Traffic management system is a cornerstone of a Smart city. In the current problems of the world, urban mobility is one of the major problems, especially in metropolitan cities. Previous traffic management systems are not capable enough to tackle this growth of traffic on the road networks. The purpose of this paper is to propose a smart traffic management system using the Internet of Things and a decentralized approach to optimize traffic on the roads and intelligent algorithms to manage all traffic situations more accurately. This proposed system is overcoming the flaws of previous traffic management systems. The system takes traffic density as input from cameras which is abstracted from Digital Image Processing technique and sensors data, resultantly giving output as signals management. An algorithm is used to predicts the traffic density for future to minimize the traffic congestion. Besides this, RFIDs are also used to prioritize the emergency vehicles like ambulance, fire brigade etc. by implementing RFID tags in such vehicles. In the case of emergency situations, such as fire explosion or burning of something, fire and smoke sensors are also deployed on the road to detect such situations. Moreover, a mobile application is connected to a centralized server which intimates to nearby rescue department about fire explosion with the location to take further action. In addition, the native user can ask about future traffic condition at a particular node. The proposed system is validated by constructing a prototype and deploying it in a city of Pakistan. A web application is also there to provide useful information in graphical formats to the higher authorities of the smart city which is fruitful in future road planning.","PeriodicalId":228625,"journal":{"name":"2018 20th International Conference on Advanced Communication Technology (ICACT)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128634088","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: 89

Diagnostic test suggestion via Bayesian network of non-expert assisted knowledge base 基于贝叶斯网络的非专家辅助知识库的诊断测试建议

2018 20th International Conference on Advanced Communication Technology (ICACT) Pub Date : 2018-02-01 DOI: 10.23919/ICACT.2018.8323747

Jorge Quinteros, N. Baloian, J. Pino, Alvaro Riquelme, Sergio Peñafiel, Horacio Sanson, Douglas Teoh

{"title":"Diagnostic test suggestion via Bayesian network of non-expert assisted knowledge base","authors":"Jorge Quinteros, N. Baloian, J. Pino, Alvaro Riquelme, Sergio Peñafiel, Horacio Sanson, Douglas Teoh","doi":"10.23919/ICACT.2018.8323747","DOIUrl":"https://doi.org/10.23919/ICACT.2018.8323747","url":null,"abstract":"The Japanese public health system relies upon a mandatory insurance scheme that subsidizes every medical procedure. This causes some practitioners in doubt to order unnecessary exams, especially in departments like the emergency room (ER) (where time and personnel constraints apply), generating additional costs for the public health system. In this context arises the need and challenge of developing a computer application based on Artificial Intelligence that, given a patient's symptoms upon entering the ER, recommends the most appropriate exams to increase the accuracy of the diagnosis. This paper presents the preliminary results on the development of such a tool using a Bayesian Network (BN). Although there is a lot of literature on BN for medical diagnosis, this work is innovative as it is focused on suggesting useful exams based on pre-test probabilities, and that it was built using only medical data and other freely available information sources. A fundamental disease list was established using a Human Symptom-Disease Network (HSDN) containing symptom-disease relationships. The co-occurrence between disease and symptom terms on the HSDN was translated into rough sensitivity and specificity estimates and used to set the conditional probabilities of the BN. Prior probabilities of diseases were estimated using hospital data of regular and emergency visits. Information about findings (exams) and their sensitivity-specificity data was scraped from web databases and mapped into the network. Preliminary tests for inspecting the accuracy of the developed tool were made with the help of a medical expert, based on relevant literature. Obtained results show that the tool is able to find differential diagnoses for most cases. This work opens the door for future improvements of the system.","PeriodicalId":228625,"journal":{"name":"2018 20th International Conference on Advanced Communication Technology (ICACT)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134468554","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

A detailed large-scale radio propagation characteristics: Approaches with time and spatial ratio 详细的大尺度无线电传播特性:时间和空间比方法

2018 20th International Conference on Advanced Communication Technology (ICACT) Pub Date : 2018-02-01 DOI: 10.23919/ICACT.2018.8323935

Jinhyung Oh, Youngjun Chong

引用次数: 0

Implement smart farm with IoT technology 利用物联网技术实现智能农场

2018 20th International Conference on Advanced Communication Technology (ICACT) Pub Date : 2018-02-01 DOI: 10.23919/ICACT.2018.8323907

Chi-Yurl Yoon, Miyoung Huh, Shin-Gak Kang, Juyoung Park, Changkyu Lee

引用次数: 96

Bitcoin price prediction using machine learning 利用机器学习预测比特币价格

2018 20th International Conference on Advanced Communication Technology (ICACT) Pub Date : 2018-02-01 DOI: 10.23919/ICACT.2018.8323675

S. Velankar, Sakshi Valecha, Shreya Maji

引用次数: 88

User-side evil twin attack detection using time-delay statistics of TCP connection termination 基于TCP连接终止延时统计的用户端恶意孪生攻击检测

2018 20th International Conference on Advanced Communication Technology (ICACT) Pub Date : 2018-02-01 DOI: 10.23919/ICACT.2018.8323699

En-Chun Kuo, M. Chang, Da-Yu Kao

{"title":"User-side evil twin attack detection using time-delay statistics of TCP connection termination","authors":"En-Chun Kuo, M. Chang, Da-Yu Kao","doi":"10.23919/ICACT.2018.8323699","DOIUrl":"https://doi.org/10.23919/ICACT.2018.8323699","url":null,"abstract":"Open wireless network services are now freely shared in the most of the public areas but have barely protection about communication data between the web server and the client-side. Evil Twin Attack (ETA) appears to be a legitimate Wi-Fi Access Point (AP) and becomes a common attack in smart home environments where attackers can compromise the security of the connected devices. By setting up a rogue access point, deceiving users into establishing the network connection with the same SSID as the legitimate one, the attacker can launch the man-in-the-middle attack and steal some private information. To identify the fake APs, this paper presents an improved and practical client-side detection method to mathematically detect the ETA by observing the time-delay of TCP connection termination between the client and the server. This proposed time-delay model is further experimented and measured from the following three date-time intervals: Initial Ending, Ending Response, and Confirmed Ending. The utility of this model is illustrated by applying it to the client side which makes it more convenient for users to deploy and ensure their security with high detection rate.","PeriodicalId":228625,"journal":{"name":"2018 20th International Conference on Advanced Communication Technology (ICACT)","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126326918","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

Clip recommendation based on topic similarity 基于主题相似度的剪辑推荐

2018 20th International Conference on Advanced Communication Technology (ICACT) Pub Date : 2018-02-01 DOI: 10.23919/ICACT.2018.8323873

Wonjoo Park, Jeong-Woo Son, Sang-Yun Lee, Sun-Joong Kim

引用次数: 0

2018 20th International Conference on Advanced Communication Technology (ICACT) Pub Date : 2018-02-01 DOI: 10.23919/ICACT.2018.8323739

N. Zhang, Zhiquan Bai, Qi Zhang, Anyang Liu, Shangqian Sun, K. Kwak

引用次数: 1