Pub Date : 2018-02-28DOI: 10.14257/ijgdc.2018.11.2.06
J. Choi, Eunsurk Yi, Ji-Youn Kim, B. Lee
{"title":"Management of Mobility of CoAP-based IoT Device for Continuous Movement Management","authors":"J. Choi, Eunsurk Yi, Ji-Youn Kim, B. Lee","doi":"10.14257/ijgdc.2018.11.2.06","DOIUrl":"https://doi.org/10.14257/ijgdc.2018.11.2.06","url":null,"abstract":"","PeriodicalId":46000,"journal":{"name":"International Journal of Grid and Distributed Computing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44202903","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}
Pub Date : 2018-02-28DOI: 10.14257/IJGDC.2018.11.2.10
Junho Jeong, Jun Young Lee, Yunsik Son
{"title":"A Study of Partial Image Classification of Vehicles Using Finger Gestures","authors":"Junho Jeong, Jun Young Lee, Yunsik Son","doi":"10.14257/IJGDC.2018.11.2.10","DOIUrl":"https://doi.org/10.14257/IJGDC.2018.11.2.10","url":null,"abstract":"","PeriodicalId":46000,"journal":{"name":"International Journal of Grid and Distributed Computing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49382677","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}
Pub Date : 2018-02-28DOI: 10.14257/IJGDC.2018.11.2.08
A. Toor, A. Jain
{"title":"Performance Evaluation of new Energy Aware Cluster Based Multi-hop (EACBM) Routing Protocol in Wireless Sensor Networks","authors":"A. Toor, A. Jain","doi":"10.14257/IJGDC.2018.11.2.08","DOIUrl":"https://doi.org/10.14257/IJGDC.2018.11.2.08","url":null,"abstract":"","PeriodicalId":46000,"journal":{"name":"International Journal of Grid and Distributed Computing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41742166","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}
Pub Date : 2018-02-28DOI: 10.14257/IJGDC.2018.11.2.01
Shabir Ahmad, Sehrish Malik, Do-Hyeun Kim
{"title":"Comparative Analysis of Simulation Tools with Visualization based on Realtime Task Scheduling Algorithms for IoT Embedded Applications","authors":"Shabir Ahmad, Sehrish Malik, Do-Hyeun Kim","doi":"10.14257/IJGDC.2018.11.2.01","DOIUrl":"https://doi.org/10.14257/IJGDC.2018.11.2.01","url":null,"abstract":"","PeriodicalId":46000,"journal":{"name":"International Journal of Grid and Distributed Computing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45164094","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}
Pub Date : 2018-02-28DOI: 10.14257/ijgdc.2018.11.2.04
Y. Jang
{"title":"Implementation of Pedestrian Navigation System for the Visual Impaired","authors":"Y. Jang","doi":"10.14257/ijgdc.2018.11.2.04","DOIUrl":"https://doi.org/10.14257/ijgdc.2018.11.2.04","url":null,"abstract":"","PeriodicalId":46000,"journal":{"name":"International Journal of Grid and Distributed Computing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.14257/ijgdc.2018.11.2.04","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45466575","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}
Pub Date : 2018-02-28DOI: 10.14257/IJGDC.2018.11.2.05
S. M. Basha, D. Rajput, N. Iyengar, Ronnie D. Caytiles
Screening shows impact on cancer mortality rate by decreasing the number of advanced cancers with poor diagnosis, while cancer treatment works through decreasing the case-fatality rate. The prediction of breast cancer survivability has been a challenging research problem for many researchers. The objective of this research work is to propose a Novel model that can analysis the Breast cancer data and do efficient prediction. The contributions made in this paper are as follows, we collected three different the dataset from UCI Machine Learning repositories. We propose an approach, where a detailed comparison made between feature selection algorithms. Trained the datasets using Decision Tree, Random Forest and Support vector machine (SVM) machine learning algorithms. An attempt made to understand the impact of model selection metric in predicting different classes of Brest cancer. The results indicated that the Random forest is the best predictor wit 0.98 accuracy on the holdout sample, SVM came out to be the second with 0.97 accuracy and the Decision Tree came out with 0.96 to be the worst of the four condition tree with 0.95 accuracy. Finally performed prediction using Neural Network with three hidden layers and measured the efficiency, using Root Mean Square Error (RMSE) along with its variations.
{"title":"A Novel Approach to Perform Analysis and Prediction on Breast Cancer Dataset using R","authors":"S. M. Basha, D. Rajput, N. Iyengar, Ronnie D. Caytiles","doi":"10.14257/IJGDC.2018.11.2.05","DOIUrl":"https://doi.org/10.14257/IJGDC.2018.11.2.05","url":null,"abstract":"Screening shows impact on cancer mortality rate by decreasing the number of advanced cancers with poor diagnosis, while cancer treatment works through decreasing the case-fatality rate. The prediction of breast cancer survivability has been a challenging research problem for many researchers. The objective of this research work is to propose a Novel model that can analysis the Breast cancer data and do efficient prediction. The contributions made in this paper are as follows, we collected three different the dataset from UCI Machine Learning repositories. We propose an approach, where a detailed comparison made between feature selection algorithms. Trained the datasets using Decision Tree, Random Forest and Support vector machine (SVM) machine learning algorithms. An attempt made to understand the impact of model selection metric in predicting different classes of Brest cancer. The results indicated that the Random forest is the best predictor wit 0.98 accuracy on the holdout sample, SVM came out to be the second with 0.97 accuracy and the Decision Tree came out with 0.96 to be the worst of the four condition tree with 0.95 accuracy. Finally performed prediction using Neural Network with three hidden layers and measured the efficiency, using Root Mean Square Error (RMSE) along with its variations.","PeriodicalId":46000,"journal":{"name":"International Journal of Grid and Distributed Computing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45908118","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}
Pub Date : 2018-02-28DOI: 10.14257/IJGDC.2018.11.2.02
Jung-Jae Kim, S. Cha, Kuk-Hyun Cho, Min-Woo Ryu
Recently, interest in financial transactions is increasing, and the number of investors in the stock market is increasing. These investors are applying financial analysis methods to stock trading in order to gain more profits, and combining with artificial intelligence techniques has made it possible to achieve returns in excess of the market average. As a result, the stock trading system based on reinforcement learning has attracted attention, and in recent years, studies are being conducted to optimize financial time series data by Multi-Agent Reinforcement Learning (MARL). However, MARL, which is used in existing stock trading, cannot be fully collaborated because of lack of generalization of experience. Therefore, in this paper, we propose Multi-agent Collaborated Network (MCN) that can share and generalize the experience by agent, and experiment on collaboration in distributed stock trading.
{"title":"Deep Reinforcement Learning based Multi-Agent Collaborated Network for Distributed Stock Trading","authors":"Jung-Jae Kim, S. Cha, Kuk-Hyun Cho, Min-Woo Ryu","doi":"10.14257/IJGDC.2018.11.2.02","DOIUrl":"https://doi.org/10.14257/IJGDC.2018.11.2.02","url":null,"abstract":"Recently, interest in financial transactions is increasing, and the number of investors in the stock market is increasing. These investors are applying financial analysis methods to stock trading in order to gain more profits, and combining with artificial intelligence techniques has made it possible to achieve returns in excess of the market average. As a result, the stock trading system based on reinforcement learning has attracted attention, and in recent years, studies are being conducted to optimize financial time series data by Multi-Agent Reinforcement Learning (MARL). However, MARL, which is used in existing stock trading, cannot be fully collaborated because of lack of generalization of experience. Therefore, in this paper, we propose Multi-agent Collaborated Network (MCN) that can share and generalize the experience by agent, and experiment on collaboration in distributed stock trading.","PeriodicalId":46000,"journal":{"name":"International Journal of Grid and Distributed Computing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.14257/IJGDC.2018.11.2.02","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41938890","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}
Pub Date : 2018-02-28DOI: 10.14257/IJGDC.2018.11.2.07
D. Suh, Kyung-soo Cho, Jeong-Hwa Song
{"title":"A Novel Way of Integrated Risk Awareness based on the Internet of Things for Intelligent Crime Prevention","authors":"D. Suh, Kyung-soo Cho, Jeong-Hwa Song","doi":"10.14257/IJGDC.2018.11.2.07","DOIUrl":"https://doi.org/10.14257/IJGDC.2018.11.2.07","url":null,"abstract":"","PeriodicalId":46000,"journal":{"name":"International Journal of Grid and Distributed Computing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.14257/IJGDC.2018.11.2.07","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49319818","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}
Pub Date : 2018-02-28DOI: 10.14257/IJGDC.2018.11.2.03
Namkyun Baik, Dipankar Hazra, D. Bhattacharyya
{"title":"Shape Recognition Based on MapReduce and In-Memory Processing on Distributed File System","authors":"Namkyun Baik, Dipankar Hazra, D. Bhattacharyya","doi":"10.14257/IJGDC.2018.11.2.03","DOIUrl":"https://doi.org/10.14257/IJGDC.2018.11.2.03","url":null,"abstract":"","PeriodicalId":46000,"journal":{"name":"International Journal of Grid and Distributed Computing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.14257/IJGDC.2018.11.2.03","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49008117","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}
Pub Date : 2018-02-28DOI: 10.14257/IJGDC.2018.11.2.09
Sang Hwa Lee, S. Nam, Jung-Yoon Kim
{"title":"Analysis of a Quality Evaluation Model for VR Contents","authors":"Sang Hwa Lee, S. Nam, Jung-Yoon Kim","doi":"10.14257/IJGDC.2018.11.2.09","DOIUrl":"https://doi.org/10.14257/IJGDC.2018.11.2.09","url":null,"abstract":"","PeriodicalId":46000,"journal":{"name":"International Journal of Grid and Distributed Computing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42478590","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}
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