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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
A sound recognition method with incrementally taking sound stream into consideration 一种考虑声流增量的声音识别方法
Pub Date : 2016-10-01 DOI: 10.1109/GCCE.2016.7800401
M. Iwaki, Shun Nakayama
Domestic sound recognition is an important ability for our daily lives. Although we can recognize sounds as they arrive, conventional automatic sound/speech recognition systems cannot behave in a similar manner. This paper proposes a domestic sound recognition method that can incrementally take sound streams into consideration during the progress of time. This is useful for advancing human-machine interfaces, especially for hearing disabled persons.
家庭声音识别是我们日常生活中的一项重要能力。虽然我们可以识别声音,但传统的自动声音/语音识别系统不能以类似的方式工作。本文提出了一种国产的声音识别方法,该方法可以在时间的进程中增量地考虑声音流。这对于改进人机界面非常有用,特别是对于听障人士。
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引用次数: 4
On verification of implementation of security specification with Petri nets' protocol inheritance 基于Petri网协议继承的安全规范实现验证
Pub Date : 2016-10-01 DOI: 10.1109/GCCE.2016.7800491
Wenshan Tang, Zhaolong Gou, Mohd Anuaruddin Bin Ahmadon, S. Yamaguchi
In this paper, we tackled a problem: Given a security specification and its implementation, does the implementation satisfy the security specification? We first formalized the problem in terms of Petri nets. Next, we gave a polynomial time procedure to solve the problem based on Petri nets' analysis technique. Then we illustrated the procedure with an example to show the effectiveness.
在本文中,我们解决了一个问题:给定一个安全规范及其实现,该实现是否满足安全规范?我们首先用Petri网形式化了这个问题。其次,给出了基于Petri网分析技术的多项式时间求解过程。最后通过实例说明了该方法的有效性。
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引用次数: 0
Integrated remote controller distinguishing home appliances by deep learning 集成遥控器,通过深度学习识别家电
Pub Date : 2016-10-01 DOI: 10.1109/GCCE.2016.7800350
T. Hase, T. Sakao
This paper describes a method for distinguishing various home appliances with separate remote controllers and integrating control with a single remote controller. We propose that images of home appliances can be obtained with a camera, after which the appliances can be distinguished from each other by a convolutional neural network. We developed an experimental system to evaluate our proposed method and demonstrated that the system could distinguish different home appliances with a high accuracy of 99%.
本文介绍了一种用单独的遥控器区分各种家电,并用单个遥控器进行综合控制的方法。我们提出用相机获取家电图像,然后用卷积神经网络对家电进行区分。我们开发了一个实验系统来评估我们提出的方法,并证明该系统可以区分不同的家电,准确率高达99%。
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引用次数: 1
Denoising of electrocardiogram measurement system based on statistical signal processing 基于统计信号处理的心电图测量系统去噪
Pub Date : 2016-10-01 DOI: 10.1109/GCCE.2016.7800349
D. Sueaseenak
Electrocardiogram(ECG) signal is the most important of medical information used to diagnosis and indicates the condition of the heart in humans. In a design and construction of single-lead electrocardiogram measurement system using discrete component incorporated with data acquisition(DAQ) was a problem from the noise or external interference. The modern technology in signals processing used to perform a noise canceling in electrocardiography. In this paper, we propose the simulation study of modern signal processing technique to separate the single channel of ECG signals from noise and others interference. The ECG signal was performed a denoising using ICA. A useful ICA algorithm called FAS-TICA is a highperformance algorithm to divide multiple linear combinations of ECG and noise to statistically independent elements. Our experimental results indicate the robustness of ICA after applied ECG is higher than before applied ICA, since the correlation coefficient and SNR is improved with minimum error.
心电图信号是用于诊断和指示人体心脏状况的最重要的医学信息。在设计和构建单导联离散元件结合数据采集(DAQ)的心电图测量系统时,存在噪声或外界干扰的问题。在心电图中用于消除噪声的现代信号处理技术。本文提出了将单通道心电信号从噪声和其他干扰中分离出来的现代信号处理技术的仿真研究。采用ICA对心电信号进行去噪处理。一种有用的独立分量分析算法称为FAS-TICA,它是一种将ECG和噪声的多个线性组合划分为统计独立元素的高性能算法。实验结果表明,在误差最小的情况下,提高了相关系数和信噪比,因此,应用心电信号后的ICA鲁棒性优于应用前的ICA。
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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
Deep learning attack for physical unclonable function 物理不可克隆功能的深度学习攻击
Pub Date : 2016-10-01 DOI: 10.1109/GCCE.2016.7800478
Y. Ikezaki, Y. Nozaki, M. Yoshikawa
The semiconductor counterfeiting has become a serious problem. Several Physical Unclonable Functions (PUFs), which utilizes the variation when manufacturing, are proposed as a countermeasure for imitation electronics. An arbiter PUF is one of the most popular PUFs. The operation of an arbiter PUF can be expressed by using a delay model. An arbiter PUF is reported to be attacked by forcing them to learn the delay model. Almost all of previous studies used SVM for the learning. This study proposes a new attack method using a deep learning technique. Experiments prove the validity of the proposed method.
半导体造假已经成为一个严重的问题。提出了几种物理不可克隆功能(Physical unclable Functions, PUFs),利用制造过程中的变化作为仿真电子学的对策。仲裁PUF是最流行的PUF之一。仲裁PUF的运行可以用时延模型来表示。据报道,仲裁者PUF通过强迫他们学习延迟模型而受到攻击。以往的研究几乎都是使用SVM进行学习。本研究提出了一种利用深度学习技术的新攻击方法。实验证明了该方法的有效性。
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引用次数: 15
期刊
2016 IEEE 5th Global Conference on Consumer Electronics
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