Proceedings of the 9th International Symposium on Information and Communication Technology最新文献

Discord Discovery in Streaming Time Series based on an Improved HOT SAX Algorithm 基于改进HOT SAX算法的流时间序列不协调发现

Proceedings of the 9th International Symposium on Information and Communication Technology Pub Date : 2018-12-06 DOI: 10.1145/3287921.3287929

Pham Minh Chau, B. Duc, D. T. Anh

引用次数: 10

Random ensemble oblique decision stumps for classifying gene expression data 用于基因表达数据分类的随机集合斜决策残桩

Proceedings of the 9th International Symposium on Information and Communication Technology Pub Date : 2018-12-06 DOI: 10.1145/3287921.3287987

Phuoc-Hai Huynh, Van Hoa Nguyen, Thanh-Nghi Do

{"title":"Random ensemble oblique decision stumps for classifying gene expression data","authors":"Phuoc-Hai Huynh, Van Hoa Nguyen, Thanh-Nghi Do","doi":"10.1145/3287921.3287987","DOIUrl":"https://doi.org/10.1145/3287921.3287987","url":null,"abstract":"Cancer classification using microarray gene expression data is known to contain keys for addressing the fundamental problems relating to cancer diagnosis and drug discovery. However, classification gene expression data is a difficult task because these data are characterized by high dimensional space and small sample size. We investigate random ensemble oblique decision stumps (RODS) based on linear support vector machine (SVM) that is suitable for classifying very-high-dimensional microarray gene expression data. Our classification algorithms (called Bag-RODS and Boost-RODS) learn multiple oblique decision stumps in the way of bagging and boosting to form an ensemble of classifiers more accurate than single model. Numerical test results on 50 very-high-dimensional microarray gene expression datasets from Kent Ridge Biomedical repository and Array Expression repositories show that our proposed algorithms are more accurate than the-state-of-the-art classification models, including k nearest neighbors (kNN), SVM, decision trees and ensembles of decision trees like random forests, bagging and adaboost.","PeriodicalId":448008,"journal":{"name":"Proceedings of the 9th International Symposium on Information and Communication Technology","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116831586","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

Cattle Community Extraction Using the Interactions Based on Synchronous Behavior 基于同步行为交互的牛群落抽取

Proceedings of the 9th International Symposium on Information and Communication Technology Pub Date : 2018-12-06 DOI: 10.1145/3287921.3287941

Yohei Yamauchi, Ryo Nishide, Yumi Takaki, C. Ohta, K. Oyama, T. Ohkawa

{"title":"Cattle Community Extraction Using the Interactions Based on Synchronous Behavior","authors":"Yohei Yamauchi, Ryo Nishide, Yumi Takaki, C. Ohta, K. Oyama, T. Ohkawa","doi":"10.1145/3287921.3287941","DOIUrl":"https://doi.org/10.1145/3287921.3287941","url":null,"abstract":"In management of beef cattle, it is important to grasp cattle's unusual conditions such as estrus and disease as soon as possible. The methods to detect the condition of estrus based on information such as the amount of activity from pedometer have been proposed so far. In this paper, we propose an innovative method to grasp cattle's status by focusing on unique changes of communities in time series. Our method has a possibility that it can discover and deal with new cases which were not found on the amount of activity in previous method. To extract cattle's communities, the nature of cattle's behaviors that synchronize in the community is used. The cattle's walking speed is calculated by position information obtained from GPS collar, and their behaviors are classified. We quantify the duration of cattle's behaviors being synchronized, and create a graph to observe the relationship between cattle. Then, we extract communities from the graph, and analyze changes of communities in time series. In the proposed method, we focused on the size of community and discovered cases that the cattle's condition, especially estrus, changed accordingly due to the dynamic changes of communities.","PeriodicalId":448008,"journal":{"name":"Proceedings of the 9th International Symposium on Information and Communication Technology","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128409436","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: 3

The Miniaturized IoT Electronic Nose Device and Sensor Data Collection System for Health Screening by Volatile Organic Compounds Detection from Exhaled Breath 通过呼气检测挥发性有机化合物进行健康筛查的小型化物联网电子鼻设备和传感器数据收集系统

Proceedings of the 9th International Symposium on Information and Communication Technology Pub Date : 2018-12-06 DOI: 10.1145/3287921.3287943

Jongwoo Choi, Sungjune Chang, Joon-Hak Bang, J. Park, Hae Ryong Lee

{"title":"The Miniaturized IoT Electronic Nose Device and Sensor Data Collection System for Health Screening by Volatile Organic Compounds Detection from Exhaled Breath","authors":"Jongwoo Choi, Sungjune Chang, Joon-Hak Bang, J. Park, Hae Ryong Lee","doi":"10.1145/3287921.3287943","DOIUrl":"https://doi.org/10.1145/3287921.3287943","url":null,"abstract":"The recent convergence of ICT technology and biotechnology has led to an increasing number of areas in which machines take over what people do. The small sized medical electronic devices easily check health condition by simple test and confirm whether the bio signals are abnormal to advise medical treatment in the hospital. The role of such health screening devices is not to diagnose the disease precisely but to check bio-signal roughly. The conventional health screening devices pick blood sample to detect amount of specific component in blood but invasive blood sampling is painful and burdensome to the patient. Breath analysis is a technique that provides comfortable and easy health screening method unlike conventional techniques because it is non-invasive. However, it is difficult for people to use it because of its complex breath sampling procedures, huge system volume, and sensitive characteristics of gas sensors. We designed a smartphone-sized miniaturized electronic nose system and constructed database system to derive novel rules from various multi-sensors data. The experiment was conducted by applying the electronic nose system to actual diabetic patients and we confirmed the possibility of distinguishing the diseases had. If big data is collected, various artificial intelligence algorithms will be applied to find more accurate health screening methods.","PeriodicalId":448008,"journal":{"name":"Proceedings of the 9th International Symposium on Information and Communication Technology","volume":"15 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130556402","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

Recover Water Bodies in Multi-spectral Satellite Images with Deep Neural Nets 基于深度神经网络的多光谱卫星水体恢复

Proceedings of the 9th International Symposium on Information and Communication Technology Pub Date : 2018-12-06 DOI: 10.1145/3287921.3287969

Tu Le, Duc-Tan Lam, Dinh-Phong Vo, A. Yoshitaka, H. Le

引用次数: 1

An Evolutionary Algorithm for Solving Task Scheduling Problem in Cloud-Fog Computing Environment 一种求解云雾计算环境下任务调度问题的进化算法

Proceedings of the 9th International Symposium on Information and Communication Technology Pub Date : 2018-12-06 DOI: 10.1145/3287921.3287984

Huynh Thi Thanh Binh, Tran The Anh, D. Son, P. Duc, B. Nguyen

{"title":"An Evolutionary Algorithm for Solving Task Scheduling Problem in Cloud-Fog Computing Environment","authors":"Huynh Thi Thanh Binh, Tran The Anh, D. Son, P. Duc, B. Nguyen","doi":"10.1145/3287921.3287984","DOIUrl":"https://doi.org/10.1145/3287921.3287984","url":null,"abstract":"Recently, IoT (Internet of Things) has grown steadily, which generates a tremendous amount of data and puts pressure on the cloud computing infrastructures. Fog computing architecture is proposed to be the next generation of the cloud computing to meet the requirements of the IoT network. One of the big challenges of fog computing is resource management and operating function, as task scheduling, which guarantees a high-performance and cost-effective service. We propose TCaS - an evolutionary algorithm to deal with Bag-of-Tasks application in cloud-fog computing environment. By addressing the tasks in this distributed system, our proposed approach aimed at achieving the optimal tradeoff between the execution time and operating costs. We verify our proposal by extensive simulation with various size of data set, and the experimental results demonstrate that our scheduling algorithm outperforms 38.6% Bee Life Algorithm (BLA) in time-cost tradeoff, especially, performs much better than BLA in execution time, simultaneously, satisfies user's requirement.","PeriodicalId":448008,"journal":{"name":"Proceedings of the 9th International Symposium on Information and Communication Technology","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133627020","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: 50

Evaluating the security levels of the Web-Portals based on the standard ISO/IEC 15408 基于ISO/IEC 15408标准评估web门户的安全级别

Proceedings of the 9th International Symposium on Information and Communication Technology Pub Date : 2018-12-06 DOI: 10.1145/3287921.3287985

Dang-Hai Hoang, P. T. Nga

引用次数: 2

NADM: Neural Network for Android Detection Malware NADM:用于Android检测恶意软件的神经网络

Proceedings of the 9th International Symposium on Information and Communication Technology Pub Date : 2018-12-06 DOI: 10.1145/3287921.3287977

Nguyen Viet Duc, P. T. Giang

引用次数: 9

An Improved Fingerprint Matching Algorithm Using Low Discriminative Region 一种改进的低鉴别区指纹匹配算法

Proceedings of the 9th International Symposium on Information and Communication Technology Pub Date : 2018-12-06 DOI: 10.1145/3287921.3287986

Nghia Duong, Minh Nguyen, Hieu Quang, Hoang Manh Cuong

引用次数: 0

Hot Topic Detection on Newspaper 报纸热点话题检测

Proceedings of the 9th International Symposium on Information and Communication Technology Pub Date : 2018-12-06 DOI: 10.1145/3287921.3287965

T. Cao, Tat-Huy Tran, Thanh-Thuy Luu

引用次数: 2