Int. J. Networked Distributed Comput.最新文献_第9页

Jade: Reducing Energy Consumption of Android App Jade:降低Android应用的能耗

Int. J. Networked Distributed Comput. Pub Date : 2015-08-01 DOI: 10.2991/ijndc.2015.3.3.2

Hao Qian, Daniel Andresen

引用次数: 31

Secure in-vehicle Systems using Authentication 使用身份验证保护车载系统

Int. J. Networked Distributed Comput. Pub Date : 2015-08-01 DOI: 10.2991/ijndc.2015.3.3.3

M. Yoshikawa, K. Sugioka, Y. Nozaki, K. Asahi

引用次数: 1

Load Balancing of Peer-to-Peer MMORPG Systems with Hierarchical Area-of-Interest Management 基于分层兴趣区域管理的点对点MMORPG系统负载均衡

Int. J. Networked Distributed Comput. Pub Date : 2015-08-01 DOI: 10.2991/ijndc.2015.3.3.5

S. Fujita

引用次数: 2

Effective Management of ReRAM-based Hybrid SSD for Multiple Node HDFS 基于reram的多节点HDFS混合SSD的有效管理

Int. J. Networked Distributed Comput. Pub Date : 2015-08-01 DOI: 10.2991/ijndc.2015.3.3.4

N. Park, B. Lee, K. Kim, H. Youn

引用次数: 0

Contour Completion of Partly Occluded Objects Based on Figural Goodness 基于图形良度的部分遮挡物体轮廓补全

Int. J. Networked Distributed Comput. Pub Date : 2015-08-01 DOI: 10.2991/ijndc.2015.3.3.6

Takahiro Hayashi, Tatsuya Ooi, Motoki Sasaki

{"title":"Contour Completion of Partly Occluded Objects Based on Figural Goodness","authors":"Takahiro Hayashi, Tatsuya Ooi, Motoki Sasaki","doi":"10.2991/ijndc.2015.3.3.6","DOIUrl":"https://doi.org/10.2991/ijndc.2015.3.3.6","url":null,"abstract":"Object extraction has a crucial role in various visual semantic scenarios. In this paper, we propose a system for object extraction which can deal with an object partly occluded by other objects. In order to estimate the hidden part of the occluded object, the system combines different types of contour completion methods such as curve completion and symmetry completion. The system is composed of two modules: contour discrimination and contour completion. The contour discrimination module separates the contour of the occluded object from the contours of the occluding objects. To the contour of the occluded object, the contour completion module applies different types of contour completion algorithms to generate various completion patterns. Based on the perceptual model of figural goodness, the system computes the figural goodness scores of the generated patterns, where the simplicity and symmetricity are evaluated. Finally, the system outputs the pattern having the highest score as a result of the object extraction. From the experimental results, we have confirmed that the figural goodness model works effectively for extracting partly occluded objects.","PeriodicalId":318936,"journal":{"name":"Int. J. Networked Distributed Comput.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2015-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130112627","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: 6

A GPU-Based Pencil Beam Algorithm for Dose Calculations in Proton Radiation Therapy 基于gpu的质子放射治疗剂量计算铅笔束算法

Int. J. Networked Distributed Comput. Pub Date : 2015-06-01 DOI: 10.1007/978-3-319-23509-7_2

G. Kalantzis, T. Leventouri, H. Tachibana, C. Shang

引用次数: 3

Scenarios for An RFID Tag Ownership Transfer Protocol for A Closed Loop System 闭环系统中RFID标签所有权转移协议的应用场景

Int. J. Networked Distributed Comput. Pub Date : 2015-04-01 DOI: 10.2991/ijndc.2015.3.2.7

Ghaith Khalil, B. Ray, M. Chowdhury

引用次数: 7

Optimal Number of Clusters for Fast Similarity Search Considering Transformations of Time Varying Data 考虑时变数据变换的快速相似搜索的最优聚类数

Int. J. Networked Distributed Comput. Pub Date : 2015-04-01 DOI: 10.2991/ijndc.2015.3.2.2

Toshiichiro Iwashita, T. Hochin, Hiroki Nomiya

引用次数: 1

Human Activity Recognition in WSN: A Comparative Study 无线传感器网络中人类活动识别的比较研究

Int. J. Networked Distributed Comput. Pub Date : 2014-11-01 DOI: 10.2991/ijndc.2014.2.4.3

M. A. Awan, Guangbin Zheng, Cheong-Ghil Kim, Shin-Dug Kim

{"title":"Human Activity Recognition in WSN: A Comparative Study","authors":"M. A. Awan, Guangbin Zheng, Cheong-Ghil Kim, Shin-Dug Kim","doi":"10.2991/ijndc.2014.2.4.3","DOIUrl":"https://doi.org/10.2991/ijndc.2014.2.4.3","url":null,"abstract":"Human activity recognition is an emerging field of ubiquitous and pervasive computing. Although recent smartphones have powerful resources, the execution of machine learning algorithms on a large amount of data is still a burden on smartphones. Three major factors including; classification algorithm, data feature, and smartphone position influence the recognition accuracy and time. In this paper, we present a comparative study of six classification algorithms, six data features, and four different positions that are most commonly used in the recognition process using smartphone accelerometer. This analysis can be used to select any specific classification algorithm, data feature, and smartphone position for human activity recognition in terms of accuracy and response time. The methodology we used is composed of two major components; a data collector, and a classifier. A set of eleven activities of daily living, four different positions for data collection and ten volunteers contributed to make it a worth-full comparative study. Results show that K-Nearest Neighbor and J48 algorithms performed well both in terms of time and accuracy irrespective of data features whereas the performance of other algorithms is dependent on the selected data features. Similarly, mean and mode features gave good results in terms of accuracy irrespective of the classification algorithm. A short version of the paper has already been presented at ICIS 2014.","PeriodicalId":318936,"journal":{"name":"Int. J. Networked Distributed Comput.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124357941","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

Fast Parallel Network Packet Filter System based on CUDA 基于CUDA的快速并行网络包过滤系统

Int. J. Networked Distributed Comput. Pub Date : 2014-11-01 DOI: 10.2991/ijndc.2014.2.4.1

C. Hung, Shih-Wei Guo

引用次数: 5