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2016 IEEE 5th Global Conference on Consumer Electronics最新文献

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An interest-based tour planning tool by process mining from Twitter 一个基于兴趣的旅游规划工具,通过Twitter的流程挖掘
Pub Date : 2016-10-01 DOI: 10.1109/GCCE.2016.7800542
Zhaolong Gou, Shoki Tsugawa, Atthapon Korkaew, S. Yamaguchi, Thiamthep Khamket, Bundit Manaskasemsak, A. Rungsawang
In this paper, we proposed a new concept of tour, named interest-based tour, and based on this new concept, we have developed a tour planning tool. The interest-based tour is literally a tour to visit places related to a given interest. Interest argued in this paper is not limited to only point such as things and places. We extend the concept of interest to line (e.g. a famous person's history) and area (e.g. the Age of Discovery). Social network site (SNS) enables us to find travel experiences of visiting places related to the interest. So we use Twitter to collect travel experiences related to the given interest, then use process mining technique to make these experiences into a tour plan.
本文提出了基于兴趣的旅游概念,并在此基础上开发了旅游规划工具。以兴趣为基础的旅游字面上是参观与特定兴趣相关的地方的旅游。本文所论述的兴趣并不局限于事物、地点等点。我们将兴趣的概念扩展到线(例如一个名人的历史)和区域(例如发现时代)。社交网站(SNS)使我们能够找到与兴趣相关的旅游景点的旅游经历。因此,我们使用Twitter收集与给定兴趣相关的旅游体验,然后使用流程挖掘技术将这些体验制作成旅游计划。
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引用次数: 11
Gait monitoring for human activity recognition using perceptive shoe based on hetero-core fiber optics 基于异芯光纤感知鞋的步态监测与人体活动识别
Pub Date : 2016-10-01 DOI: 10.1109/GCCE.2016.7800431
Y. Koyama, M. Nishiyama, Kazuhiro Watanabe
Gait monitoring system for human activity recognition is demonstrated using a perceptive shoe based on hetero-core fiber optics. The insole with hetero-core fiber monitors foot pressure without temperature dependency and constraint to human body. Monitoring test was performed by a human subject doing basic activities which are walking, walking on the spot, running, standing, and sitting on a chair. The human activities were successfully monitored by means of perceptive shoe using hetero-core fiber optics. In addition, walking on the spot and standing were identified using only front weight response.
介绍了一种基于异芯光纤的感知鞋,用于人体活动识别的步态监测系统。异质芯纤维内底监测足部压力,不依赖温度,对人体没有约束。监测试验由人体受试者进行基本活动,包括行走、原地行走、跑步、站立和坐在椅子上。利用异芯光纤,成功地实现了感知鞋对人体活动的监测。此外,原地行走和站立仅使用前重响应来识别。
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引用次数: 2
User experience for HEMS based on gamification and life log 基于游戏化和生命日志的HEMS用户体验
Pub Date : 2016-10-01 DOI: 10.1109/GCCE.2016.7800506
Kazuki Arima, Masayuki Kaneko, Takashi Murakami, M. Isshiki, Hiroshi Sugimura
After Great East Japan Earthquake, we increase importance to conserve electric power consumption by using Home Energy Management System, HEMS for short. However, HEMS is insufficient approaches other than change in figure. This study develops user experience as a service for consumers and estimates the system.
东日本大地震后,我们越来越重视使用家庭能源管理系统(简称HEMS)来节约电力消耗。然而,HEMS是不足的途径,除了改变数字。本研究将用户体验发展为一种面向消费者的服务,并对该系统进行评估。
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引用次数: 0
Decision support for the QoS-aware 4G mobile networks through data mining 基于数据挖掘的qos感知4G移动网络决策支持
Pub Date : 2016-10-01 DOI: 10.1109/GCCE.2016.7800485
Tian-Hsiang Huang, Liang-Bi Chen
The Network Management Center needs to be highly intelligent to control the network devices for Quality of Service (QoS) assurance. To make sure the traffic of the call and the data as well as the satisfaction from the customers, we develop a decision support (DS) mechanism for the 4G mobile networking with QoS awareness. In this study, real experimental results are explored from the WiMAX equipment. The MRTR parameter is automatically adjusted by the K-Means clustering algorithm. We show that automated DS mechanism can be achieved with QoS guarantee for 4G mobile network.
网络管理中心需要高度智能化,以控制网络设备,保证QoS (Quality of Service)。为了保证通话流量和数据流量以及用户满意度,我们开发了具有QoS感知的4G移动网络决策支持(DS)机制。在本研究中,从WiMAX设备上探索真实的实验结果。MRTR参数由K-Means聚类算法自动调整。研究表明,在保证QoS的情况下,4G移动网络可以实现自动DS机制。
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引用次数: 1
User-intent visual information ranking system 用户意图的视觉信息排名系统
Pub Date : 2016-10-01 DOI: 10.1109/GCCE.2016.7800316
Swe Nwe Nwe Htun, Thi Thi Zin, Mitsuhiro Yokota, Khin Mo Mo Tun
Nowadays, the rapid growth of World Wide Web has been resulted in an exponential growth of the data and visual information with full of interesting bits of contents that can be found online. In such situations, finding out images that satisfy user intentions from a huge collection is more and more required, which emphasizes the importance of web image search and visual information ranking system as filters for users. For these reasons, we propose user-centric visual information rank and re-ranking system for web image search to explore the global trends in innovation by combining the sharing patterns of social network. Specifically, we establish an embedded Markov Chain Model along with local and global image features of visual information content for ranking image search engine. In order to evaluate the performance of proposed method, we will conduct a series of experiments based on social media platforms and a real-life social Yelp network dataset with respect to consumer perspectives.
如今,万维网的快速发展导致了数据和视觉信息的指数级增长,其中充满了有趣的内容,可以在网上找到。在这种情况下,越来越需要从海量的图片中找出符合用户意图的图片,这就强调了网络图像搜索和视觉信息排序系统作为过滤器对用户的重要性。基于此,我们提出了以用户为中心的网络图像搜索视觉信息排序和再排序系统,并结合社交网络的共享模式来探索全球创新趋势。具体而言,我们结合视觉信息内容的局部和全局图像特征,建立了嵌入式马尔可夫链模型,用于对图像搜索引擎进行排名。为了评估所提出方法的性能,我们将基于社交媒体平台和现实生活中的社交Yelp网络数据集,从消费者的角度进行一系列实验。
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引用次数: 1
Temporary grouping method using smartphones 使用智能手机的临时分组方法
Pub Date : 2016-10-01 DOI: 10.1109/GCCE.2016.7800493
Shunsuke Kan, Atsushi Kanai, S. Tanimoto, Hiroyuki Sato, Toru Kobayashi
Groups are divided into two types. One is a permanent group, such as class of students or a division of corporate employees. The other is a temporary group, such as passengers on a bus or an airplane. There are many approaches for permanent grouping services. However, a methodology for temporary grouping does not exist. Therefore, we focus on temporary grouping and its features. In this paper, we propose an approach for temporary grouping using smartphones. We implement a prototype system and clarify features for a temporary grouping method.
小组分为两种类型。一类是固定的群体,如一个学生班级或一个公司雇员部门。另一个是临时群体,如公共汽车或飞机上的乘客。永久分组服务有许多方法。但是,暂时分组的方法并不存在。因此,我们重点研究临时分组及其特点。在本文中,我们提出了一种使用智能手机进行临时分组的方法。我们实现了一个原型系统,并明确了临时分组方法的特点。
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引用次数: 0
Detecting bank conflict of GPU programs using symbolic execution 使用符号执行检测GPU程序的银行冲突
Pub Date : 2016-10-01 DOI: 10.1109/GCCE.2016.7800423
K. Hamaya, S. Yamane
Graphics Processing Units (GPUs) are gathering attention now and used in various fields. Accordingly, the demand for verification of GPU Programs is increasing. In this paper, we describe a method to detect bank conflict by using symbolic execution. Bank conflict is the bug happening when multiple processing units access the same bank in the shared memory at the same time. Symbolic execution is a means of analyzing programs with symbolic values. We implement a prototype model checker to detect bank conflict and evaluate it by tests in GkleeTests [4].
图形处理单元(Graphics Processing unit, gpu)正受到越来越多的关注,并应用于各个领域。因此,对GPU程序验证的需求越来越大。在本文中,我们描述了一种使用符号执行来检测银行冲突的方法。银行冲突是当多个处理单元同时访问共享内存中的同一银行时发生的错误。符号执行是一种用符号值分析程序的方法。我们实现了一个原型模型检查器来检测银行冲突,并通过GkleeTests[4]中的测试对其进行评估。
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引用次数: 1
A prototype router circuit for extended 2D mesh network on chips 芯片上扩展二维网状网络的路由器电路原型
Pub Date : 2016-10-01 DOI: 10.1109/GCCE.2016.7800443
Yohta Kurokawa, Masaru Fukushi
Dependable Network-on-Chips (NoCs) are crucial for the design of recent large scale embedded systems in high-end consumer electronics products. A new NoC architecture named extended 2D mesh NoC (E2DM-NoC) has been proposed in the previous study. The E2DM-NoC is shown to be effective in the reduction of routing rules and communication latency; however, its implementation and performance have not fully studied yet. In this paper, we present a prototype router circuit to build an E2DM-NoC and design it with a hardware description language. The hardware overhead of the E2DM-NoC is also discussed.
可靠的片上网络(noc)对于当前高端消费电子产品中大规模嵌入式系统的设计至关重要。在前人的研究中,提出了一种新的NoC结构,称为扩展二维网格NoC (E2DM-NoC)。E2DM-NoC在减少路由规则和通信延迟方面被证明是有效的;然而,其实现和性能还没有得到充分的研究。本文提出了构建E2DM-NoC的路由器原型电路,并用硬件描述语言进行了设计。还讨论了E2DM-NoC的硬件开销。
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引用次数: 0
Lung volume estimation for thoracic respiration via chest size deviation measurement 通过测量胸大小偏差来估计胸呼吸的肺容量
Pub Date : 2016-10-01 DOI: 10.1109/GCCE.2016.7800500
Yuji Sano, K. Mizutani, K. Zempo, N. Wakatsuki
Individual thermal stress of people in physical training has not been evaluated quantitatively in real time. The main limitations in evaluating individual thermal stress are the difficulties in measuring individual thermal parameters, clothing insulation, and metabolic rate. In this study, we aimed to overcome these limitations with metabolic rate measurement. For calculating metabolic rate in real time without breath gas analysis, we proposed a derivation method from oxygen consumption and lung volume. We found that the deviation of chest size is proportional to the change of lung volume in each person, and the coefficient of determination was greater than 0.90.
体育训练中个体热应激的实时定量评价尚不成熟。评估个体热应力的主要限制是难以测量个体热参数、服装隔热和代谢率。在本研究中,我们旨在通过代谢率测量来克服这些局限性。为了在没有呼吸气体分析的情况下实时计算代谢率,我们提出了一种由耗氧量和肺体积推导的方法。我们发现每个人胸围的偏差与肺容量的变化成正比,决定系数大于0.90。
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引用次数: 2
Research field analysis using linked data of I-Scover 使用I-Scover的关联数据进行研究现场分析
Pub Date : 2016-10-01 DOI: 10.1109/GCCE.2016.7800504
T. Wakahara, Toshitaka Maki, Kazuki Takahashi
This paper presents the research field analysis method using the Linked Data of I-Scover [1]. I-Scover is the article retrieval system of the Institute of Electronics, Information and Communication Engineers (IEICE). This system manages the article metadata by Linked Data format. The research field analysis of the articles is important, and the effective article classification is desired for faceted navigation. The simulation results of the proposed analysis method show the good performance and the validity of this method is confirmed.
本文提出了利用I-Scover的关联数据进行研究领域分析的方法[1]。I-Scover是美国电子、信息与通信工程师学会(IEICE)的文章检索系统。本系统采用关联数据格式对文章元数据进行管理。文章的研究领域分析非常重要,有效的文章分类是分面导航的重要内容。仿真结果表明该分析方法具有良好的性能,验证了该方法的有效性。
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引用次数: 0
期刊
2016 IEEE 5th Global Conference on Consumer Electronics
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