2016 International Workshop on Big Data and Information Security (IWBIS)最新文献_第2页

Enhancing query performance of library information systems using NoSQL DBMS: Case study on library information systems of Universitas Indonesia 利用NoSQL DBMS提高图书馆信息系统的查询性能——以印尼大学图书馆信息系统为例

2016 International Workshop on Big Data and Information Security (IWBIS) Pub Date : 2016-10-01 DOI: 10.1109/IWBIS.2016.7872887

Herrnansyah, Y. Ruldeviyani, R. F. Aji

引用次数: 4

Medical warning system based on Internet of Things using fog computing 基于雾计算的物联网医疗预警系统

2016 International Workshop on Big Data and Information Security (IWBIS) Pub Date : 2016-10-01 DOI: 10.1109/IWBIS.2016.7872884

I. Azimi, A. Anzanpour, A. Rahmani, P. Liljeberg, T. Salakoski

引用次数: 39

Comparative study of lightweight secure multiroute communication system in low cost wireless sensor network for CO2 monitoring 低成本无线传感器网络中轻型安全多路由通信系统的比较研究

2016 International Workshop on Big Data and Information Security (IWBIS) Pub Date : 2016-10-01 DOI: 10.1109/IWBIS.2016.7872904

Novian Habibie, Rindra Wiska, A. Nugraha, A. Wibisono, P. Mursanto, W. S. Nugroho, S. Yazid

{"title":"Comparative study of lightweight secure multiroute communication system in low cost wireless sensor network for CO2 monitoring","authors":"Novian Habibie, Rindra Wiska, A. Nugraha, A. Wibisono, P. Mursanto, W. S. Nugroho, S. Yazid","doi":"10.1109/IWBIS.2016.7872904","DOIUrl":"https://doi.org/10.1109/IWBIS.2016.7872904","url":null,"abstract":"Wireless Sensor Network (WSN) is a system used to conduct a remote monitoring in a wide monitoring area. It has a sensor node — a sampling point — which communicate each other to passing their data to central node for recapitulation or transmit it to data center. Because of that, communication system is a crucial thing for WSN. However, WSN may be deployed in a environment that far from ideal condition. Placed in an unattended area with far distance between nodes, WSN is very vulnerable with security threats. To overcome that, the good combination between communication protocol and encryption algorithm for WSN is needed to gather an accurate and representative data with high transmission speed. This research focused on finding those combination for our own-made low-cost sensor node for CO2 monitoring. In this research, two routing protocols (AODV and TARP) and several encryption algorithms (AES, ChaCha, and Speck) tested to determine which combination is give the best result. As the result, combination between routing protocol AODV and encryption algorithm Speck give the best result in the term of performance.","PeriodicalId":193821,"journal":{"name":"2016 International Workshop on Big Data and Information Security (IWBIS)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132627092","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 review of big data analytics in the biomedical field 生物医学领域大数据分析综述

2016 International Workshop on Big Data and Information Security (IWBIS) Pub Date : 2016-10-01 DOI: 10.1109/IWBIS.2016.7872886

W. Jatmiko, D. M. S. Arsa, H. A. Wisesa, Grafiks Jati, M. A. Ma'sum

{"title":"A review of big data analytics in the biomedical field","authors":"W. Jatmiko, D. M. S. Arsa, H. A. Wisesa, Grafiks Jati, M. A. Ma'sum","doi":"10.1109/IWBIS.2016.7872886","DOIUrl":"https://doi.org/10.1109/IWBIS.2016.7872886","url":null,"abstract":"In the recent years, the volume of data that exists in the world has risen dramatically. Biomedical data are data that are recorded from a living being that is used to help analyzing and diagnosis of a certain illness. Like many other types of data, the volume biomedical data has also risen in the last couple of years. In order to process this large amount of data, conventional processing techniques are not adequate. In this paper, we discuss several approach in processing large amount of biomedical data. This paper will also discuss several variations of biomedical data and the challenge that are faced when processing those biomedical data in large sizes. We also proposed integrated Telehealth system which combine Tele-ECG, Tele-USG, and existing biomedical application. The system will be implemented on Big Data Framework. Then Tele-health development can be done using the phase that we propose. The system is started by developing end-to-end user system, implementation to Big Data Framework, then it is finished by Clinical Practice. The proposed framework can be used for high standard biomedical system.","PeriodicalId":193821,"journal":{"name":"2016 International Workshop on Big Data and Information Security (IWBIS)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127822148","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: 8

Big data compression using spiht in Hadoop: A case study in multi-lead ECG signals 在Hadoop中使用spit进行大数据压缩:多导联心电信号的案例研究

2016 International Workshop on Big Data and Information Security (IWBIS) Pub Date : 2016-10-01 DOI: 10.1109/IWBIS.2016.7872902

G. Jati, Ilham Kusuma, M. Hilman, W. Jatmiko

{"title":"Big data compression using spiht in Hadoop: A case study in multi-lead ECG signals","authors":"G. Jati, Ilham Kusuma, M. Hilman, W. Jatmiko","doi":"10.1109/IWBIS.2016.7872902","DOIUrl":"https://doi.org/10.1109/IWBIS.2016.7872902","url":null,"abstract":"Compression still become main concern in big data framework. The performance of big data depend on speed of data transfer. Compressed data can speed up transfer data between network. It also save more space for storage. Several compression method is provide by Hadoop as a most common big data framework. That method mostly for general purpose. But the performance still have to optimize especially for Biomedical record like ECG data. We propose Set Partitioning in Hierarchical Tree (SPIHT) for big data compression with study case ECG signal data. In this paper compression will run in Hadoop Framework. The proposed method has stages such as input signal, map input signal, spiht coding, and reduce bit-stream. The compression produce compressed data for intermediate (Map) output and final (reduce) output. The experiment using ECG data to measure compression performance. The proposed method gets Percentage Root-mean-square difference (PRD) is about 1.0. Compare to existing method, the proposed method get better Compression Ratio (CR) with competitive longer compression time. So proposed method gets better performance compare to other method especially for ECG dataset.","PeriodicalId":193821,"journal":{"name":"2016 International Workshop on Big Data and Information Security (IWBIS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129809567","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

Design of intelligent k-means based on spark for big data clustering 基于spark的大数据聚类智能k-means设计

2016 International Workshop on Big Data and Information Security (IWBIS) Pub Date : 2016-10-01 DOI: 10.1109/IWBIS.2016.7872895

Ilham Kusuma, M. A. Ma'sum, Novian Habibie, W. Jatmiko, H. Suhartanto

引用次数: 21

Adaptive range in FIMT-DD tree for large data streams FIMT-DD树对大数据流的自适应范围

2016 International Workshop on Big Data and Information Security (IWBIS) Pub Date : 2016-10-01 DOI: 10.1109/IWBIS.2016.7872898

H. Wisesa, M. A. Ma'sum, A. Wibisono

引用次数: 0

Processing big data with decision trees: A case study in large traffic data 用决策树处理大数据:大型交通数据的案例研究

2016 International Workshop on Big Data and Information Security (IWBIS) Pub Date : 2016-10-01 DOI: 10.1109/IWBIS.2016.7872899

H. Wisesa, M. A. Ma'sum, P. Mursanto, A. Febrian

引用次数: 3

Developing recommender systems for personalized email with big data 开发基于大数据的个性化电子邮件推荐系统

2016 International Workshop on Big Data and Information Security (IWBIS) Pub Date : 2016-10-01 DOI: 10.1109/IWBIS.2016.7872893

A. A. Gunawan, Tania, Derwin Suhartono

引用次数: 7

Parallel rules based classifier using DNA strand displacement for multiple molecular markers detection 基于并行规则的DNA链位移分类器多分子标记检测

2016 International Workshop on Big Data and Information Security (IWBIS) Pub Date : 2016-10-01 DOI: 10.1109/IWBIS.2016.7872901

A. Wibowo, S. Adhy, R. Kusumaningrum, H. A. Wibawa, K. Sekiyama

引用次数: 0