2017 18th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)最新文献_第7页

Condensed object representation with corner HOG features for object classification in outdoor scenes 基于角HOG特征的室外场景压缩对象表示方法

2017 18th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD) Pub Date : 2017-06-01 DOI: 10.1109/SNPD.2017.8022703

Tin-Tin Yu, Nu War

引用次数: 3

Solving real-world facility layout problems using GA with Levy Flights and multi-decoding 利用遗传算法与列维航班和多解码解决现实世界的设施布局问题

2017 18th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD) Pub Date : 2017-06-01 DOI: 10.1109/SNPD.2017.8022742

Dongqing Zhao, C. Aranha, H. Kanoh

引用次数: 1

Share-housing allocation information service system based on Pareto optimality 基于Pareto最优的合租房屋分配信息服务系统

2017 18th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD) Pub Date : 2017-06-01 DOI: 10.1109/SNPD.2017.8022756

Yang Xu, Shuwen Liu, Binglu Wang, Tianyi Liu, Zhengnan Liu

引用次数: 0

Long short-term memory networks for automatic generation of conversations 自动生成对话的长短期记忆网络

2017 18th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD) Pub Date : 2017-06-01 DOI: 10.1109/SNPD.2017.8022766

T. Fujita, Wenjun Bai, Changqin Quan

引用次数: 5

A network state based reliability evaluation model for WSNs 基于网络状态的无线传感器网络可靠性评估模型

2017 18th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD) Pub Date : 2017-06-01 DOI: 10.1109/SNPD.2017.8022737

Ning Sun, Jiahao Xu, H. Wei, Hongxia Miao, Jin Wang

{"title":"A network state based reliability evaluation model for WSNs","authors":"Ning Sun, Jiahao Xu, H. Wei, Hongxia Miao, Jin Wang","doi":"10.1109/SNPD.2017.8022737","DOIUrl":"https://doi.org/10.1109/SNPD.2017.8022737","url":null,"abstract":"Reliability is an important research issue in wireless sensor networks(WSNs). Many literatures about how to improve network reliability in WSNs have been proposed, however the research on establishing evaluation models of reliability for WSNs is yet insufficient. In this paper, a model to evaluate the reliability of wireless sensor networks (WSNs) is proposed. This network state based model can effectively evaluate the probability of successful transmission of data packets in WSNs with the consideration of the work states of both the sensor node's different modules and the quality of the communication link. We evaluated the reliability of WSNs in single task and multi-task mode. At the same time, how different network topologies, such as flat and clustering structures, affect the reliability of WSNs is also discussed respectively. Furthermore, some typical reliable strategies, such as retransmission, multi-path transmission and multiple sink nodes, are analyzed and evaluated. The simulation attempts to evaluate the reliability of WSNs quantitatively and the results have shown the impacts of network state on reliability and the effectiveness in different reliable mechanisms.","PeriodicalId":186094,"journal":{"name":"2017 18th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128346973","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

HHT-based remote respiratory rate estimation in thermal images 基于hht的热图像呼吸速率远程估计

2017 18th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD) Pub Date : 2017-06-01 DOI: 10.1109/SNPD.2017.8022731

Duan-Yu Chen, JyunTing Lai

{"title":"HHT-based remote respiratory rate estimation in thermal images","authors":"Duan-Yu Chen, JyunTing Lai","doi":"10.1109/SNPD.2017.8022731","DOIUrl":"https://doi.org/10.1109/SNPD.2017.8022731","url":null,"abstract":"Thermal image has many applications on image processing such as human detection, face recognition and physiological signal evaluation, etc. The respiratory rate is an important physiological signal, and it is highly related to emotion and some diseases. Therefore, we propose a non-contact method to estimate the respiratory rate from thermal image in this paper. Thermal image can provide the information about temperature distribution, so we can use this property to evaluate the breath signal on it. In this work, we use the visual image to detect the face and nose region to locate the ROI for breath signal extraction, then use the histogram equalization to enhance the contrast of thermal image. To make the breath signal more obvious, we proposed a method to find a mask from ROI with Otsu threshold method among some accumulated frames. In addition, Kanade-Lucas-Tomasi (KLT) tracking method is employed to tack the subject to prevent the ROI location error. Next, breath signal is decomposed by Hilbert-Huang Transform (HHT) into some intrinsic mode functions (IMFs). Finally, respiratory rate is estimated by counting the approximate zero-crossing points which are correlated to breathe cycle.","PeriodicalId":186094,"journal":{"name":"2017 18th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117045180","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

Batch-based flash crowd relaxation in cloud-assisted P2P live streaming 云辅助P2P直播中基于批处理的快闪人群放松

2017 18th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD) Pub Date : 2017-06-01 DOI: 10.1109/SNPD.2017.8022706

Shuji Jinbo, Bahaa Aldeen Alghazawy, S. Fujita

引用次数: 3

Transitional approach to evaluate customer satisfaction for e-Books 评估电子书用户满意度的过渡方法

2017 18th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD) Pub Date : 2017-06-01 DOI: 10.1109/SNPD.2017.8022771

M. Iwashita

引用次数: 0

A modification of retake detection using simple signature and LCS algorithm 基于简单签名和LCS算法的重拍检测改进

2017 18th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD) Pub Date : 2017-06-01 DOI: 10.1109/SNPD.2017.8022730

Narongsak Putpuek, N. Cooharojananone, S. Satoh

{"title":"A modification of retake detection using simple signature and LCS algorithm","authors":"Narongsak Putpuek, N. Cooharojananone, S. Satoh","doi":"10.1109/SNPD.2017.8022730","DOIUrl":"https://doi.org/10.1109/SNPD.2017.8022730","url":null,"abstract":"Rushes videos consist of two types of content: the useless content and the redundant content (retakes). Then, automatic retake detection is more challenging due to the difficulty of eliminating repetitive takes, that are usually have different lengths and motion patterns. To overcome this challenge, previous approaches represent video segments using a longer string which is converted from SIFT matching, or a combination of different features. However, these require a large computational time and do not assist in improving a performance. In this work, we introduce a simple signature (global feature) to represent video segments because of its simplicity and effectiveness. The similarity between each pair of signature sequences was determined by using the Longest Common Subsequence algorithm (LCS). A simple retake detection was then used to detect a retake. This proposed was applied to the TRECVID BBC Rushed 2007 and 2008. The results showed that using a simple signature provides a high degree of accuracy, and reduces a computation time in feature extraction and LCS matching.","PeriodicalId":186094,"journal":{"name":"2017 18th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126449357","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: 2

The influence of Twitter on education policy making Twitter对教育政策制定的影响

2017 18th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD) Pub Date : 2017-06-01 DOI: 10.1109/SNPD.2017.8022712

Mwana Said Omar, A. Njeru, Sun Yi

引用次数: 5