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2015 International Conference on Platform Technology and Service最新文献

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Heuristic Algorithms for Scheduling Resources in Time-Constrained Wireless Sensor Networks 时间约束无线传感器网络资源调度的启发式算法
Pub Date : 2015-01-26 DOI: 10.1109/PLATCON.2015.16
Y. Kim, Yu Wang, B. Park, H. Choi
This paper proposes a heuristic algorithm for scheduling multiple channels and multiple timeslots in a time-constrained industrial wireless sensor network. The objective is to minimize the end-to-end (e2e) delay. The proposed algorithm is compared with the meta-heuristics in terms of the given e2e delay bound, where it is common in time-constrained industrial networks. Not surprisingly, the meta-heuristics is more accurate in finding a global optimum or sub-optimal values than the heuristic approach at the expense of significant run times and programming effort. The proposed greedy heuristic approach has advantages such as reflection of design context in decision-making and fast communication between stakeholders.
本文提出了一种启发式算法,用于在有时间限制的工业无线传感器网络中调度多信道和多时隙。目标是最小化端到端(e2e)延迟。根据给定的端到端延迟界,将所提出的算法与元启发式算法进行了比较,其中元启发式算法在时间约束的工业网络中很常见。毫不奇怪,在寻找全局最优或次最优值方面,元启发式方法比启发式方法更准确,但要花费大量的运行时间和编程工作。提出的贪心启发式方法具有在决策过程中反映设计情境、利益相关者之间快速沟通等优点。
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引用次数: 3
A Novel Rehabilitation Approach Based on Inertial Sensor Units 一种基于惯性传感器单元的新型康复方法
Pub Date : 2015-01-26 DOI: 10.1109/PLATCON.2015.24
Huang-Ren Chen, Chi-lun Rau, Chung-Huang Yu
This paper presents a novel rehabilitation approach for guiding patients with stroke to execute correct rehabilitation exercise. First of all, a therapist will hold a patient's hand to practice a correct rehabilitation exercise to build a template for the assigned excercise. The recorded template will be a sequence of sensed data acquired from the inertial measurement units (IMUs) attached on the arm of the patient. Then the patient will practice the assigned exercise alone to generate the testing sequence with a screen. Finally, a dynamic time warping (DTW) algorithm will adopted to measure the similarity between the template and the testing sequence. The rehabilitation system will issue an alarm signal whenever the similarity value is below a pre-specified threshold.
本文提出了一种指导脑卒中患者正确进行康复训练的新方法。首先,治疗师会握着病人的手练习正确的康复练习,为指定的练习建立一个模板。记录的模板将是从附着在患者手臂上的惯性测量单元(imu)获取的一系列感测数据。然后,患者将单独练习指定的练习,以生成带有屏幕的测试序列。最后,采用动态时间规整(DTW)算法测量模板与测试序列的相似度。每当相似度值低于预先设定的阈值时,康复系统将发出报警信号。
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引用次数: 0
Application of C Based Cryptographic Module Operating in Java with Preservation of FIPS 140 Validation 基于C语言的加密模块在Java中的应用及FIPS 140验证的保存
Pub Date : 2015-01-26 DOI: 10.1109/PLATCON.2015.31
Hyunduk Choi, Okyeon Yi
Due to recent arise of cybercrime, importance of cyber security is highlighted more than ever. NIST has created Cryptographic Module Validation Program, namely CMVP, to validate security level of cryptographic modules for the United States Federal agencies: indeed, many are achieving the validation. According to the program, operating environments for any specific cryptographic module are fixed. In other words, running validated module in other software environment is strictly prohibited. However, this paper asserts that it is possible for a C based module to operate in Java environment without loss of validation as long as the module is running on a verified environment. We expect this paper to help saving great amount of time and costs for developing another cryptographic module for the same operating purpose.
由于最近网络犯罪的兴起,网络安全的重要性比以往任何时候都更加突出。NIST已经创建了加密模块验证程序,即CMVP,用于验证美国联邦机构的加密模块的安全级别:实际上,许多机构正在实现验证。根据程序,任何特定加密模块的操作环境都是固定的。也就是说,严格禁止在其他软件环境中运行经过验证的模块。然而,本文断言,只要模块在经过验证的环境中运行,基于C的模块在Java环境中运行而不丢失验证是可能的。我们希望本文能够为开发另一个具有相同操作目的的加密模块节省大量的时间和成本。
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引用次数: 0
New Method for Spatial Scalable Video Quality Evaluation 空间可伸缩视频质量评价新方法
Pub Date : 2015-01-26 DOI: 10.1109/PLATCON.2015.11
Chao Chen, Wen Ji, Bo-Wei Chen, Seungmin Rho, Yiqiang Chen
Video quality assessment plays an essential role in multimedia systems and services. In the case of scalable video coding, which enables dynamic adaptation based on terminal capabilities and heterogeneous network, variable resolution is one of the most prominent types of video distortions. In this paper, we propose a new spatial distortion metric for evaluating video streaming quality with variable spatial resolution. The key idea is to project video sequence into feature domain and calculate the distortion of content information from the projected principal component matrix and its eigenvectors. This metric can measures the degree of content information degradation especially in spatial resolution scalable video. The performance of the proposed metric is evaluated and compared to some state-of-the-art quality evaluation metrics in the literature. Our results show that the proposed metric achieves good correlations with the subjective evaluations of the EPFL scale video database.
视频质量评估在多媒体系统和服务中起着至关重要的作用。在可扩展视频编码的情况下,可变分辨率是最突出的视频失真类型之一,它可以根据终端功能和异构网络进行动态适应。在本文中,我们提出了一种新的空间失真度量来评估具有可变空间分辨率的视频流质量。其关键思想是将视频序列投影到特征域中,并根据投影的主成分矩阵及其特征向量计算内容信息的失真度。该指标可以衡量内容信息退化的程度,特别是在空间分辨率可扩展的视频中。所提出的指标的性能进行评估,并与文献中一些最先进的质量评估指标进行比较。我们的研究结果表明,所提出的度量与EPFL尺度视频数据库的主观评价具有良好的相关性。
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引用次数: 0
Modelling Customer Loyalty in China's Smartphone Market Using Effective Factors 基于有效因素的中国智能手机市场顾客忠诚度模型
Pub Date : 2015-01-26 DOI: 10.1109/PLATCON.2015.30
Y. Sun, Yao Li, W. Chong, K. L. Man
The aim of this research is to find out effective factors that can help model customer loyalty in smartphone market in China. This study fills in the current gap with solid understanding of customer loyalty and satisfaction in depth. Online survey was applied for data collection and more than 300 participants got involved in the fieldwork. Twelve hypotheses were proposed and tackled by 26 survey questions. SPSS was employed for data analysis including model build and hypotheses tests. Learnt from the data analysis, satisfaction is the most critical factor that determines the customer loyalty in smartphone market in China. Furthermore, quality, P/P ratio and image are positively related to customer satisfaction. Finally, switching costs and store image are tested to exhibit a significant positive influence on repurchase intention.
本研究的目的是找出可以帮助在中国智能手机市场建立客户忠诚度模型的有效因素。本研究通过对顾客忠诚度和满意度的深入了解填补了目前的空白。采用在线调查的方式收集数据,300多名参与者参与了实地调查。通过26个调查问题提出了12个假设。采用SPSS软件进行数据分析,包括模型建立和假设检验。从数据分析可知,满意度是决定中国智能手机市场客户忠诚度的最关键因素。此外,品质、P/P比率和形象与顾客满意呈正相关。最后,我们检验转换成本和店铺形象对再购买意愿有显著的正向影响。
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引用次数: 2
Rearranged Radon Transform Based Noise Robustness Image Retrieval 基于重排Radon变换的噪声鲁棒性图像检索
Pub Date : 2015-01-26 DOI: 10.1109/PLATCON.2015.15
Youngeun An, Guk-Jeong Kim, Sangeon Oh, Minhyuk Chang, Jongan Park
This study proposed a new image retrieval algorithm in which the existing Radon transform which was used for shape retrieval is reinforced with noise invariance. For this, a Radon transform was performed on an inquiry image which had been preprocessed to extract vector values and then the vector values were arranged depending on size to extract a second feature vector. After clustering and normalizing the levels of vector values based on the second feature vector, the feature vector was created. For a simulation on the noise robustness of the image retrieval system proposed, diverse images were used in this experiment. For performance analysis, the system proposed was compared with the retrieval system using the general Radon transform. As a result, the image retrieval system with noise robustness was between two and three times more robust to geometric transforms such as turning, expansion and scaling-down presented in the retrieval system using the general Radon transform.
本文提出了一种新的图像检索算法,该算法将用于形状检索的Radon变换增强为噪声不变性。为此,对预处理后的查询图像进行Radon变换,提取向量值,然后根据大小对向量值进行排列,提取第二个特征向量。基于第二个特征向量对向量值的层次进行聚类和归一化后,生成特征向量。为了对所提出的图像检索系统的噪声鲁棒性进行仿真,本实验中使用了不同的图像。为了进行性能分析,将该系统与基于一般Radon变换的检索系统进行了比较。结果表明,具有噪声鲁棒性的图像检索系统对一般Radon变换检索系统中出现的旋转、扩展和缩小等几何变换的鲁棒性提高了2 ~ 3倍。
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引用次数: 0
Using Hazard Analysis STAMP/STPA in Developing Model-Oriented Formal Specification toward Reliable Cloud Service 利用危害分析STAMP/STPA开发面向可靠云服务的面向模型的形式化规范
Pub Date : 2015-01-26 DOI: 10.1109/PLATCON.2015.14
Akihiro Hata, K. Araki, S. Kusakabe, Y. Omori, Hsin-hung Lin
Formal methods have been used in the development of the reliable software system. However, one of the issues in using formal methods is how to model the system by considering what kind of system requirements and restrictions we should describe. In order to address this issue, we use a hazard model STAMP and an analytical method STPA based on STAMP. STAMP/STPA is proposed to overcome difficulties in approving conventional hazard analysis techniques for software-centric systems. In this report, we explain our approach and discuss our case study to develop implicit specifications for the cloud service in a model-oriented formal specification language, VDM++.
在可靠软件系统的开发中采用了形式化方法。然而,使用形式化方法的一个问题是如何通过考虑我们应该描述什么样的系统需求和限制来对系统建模。为了解决这一问题,我们使用了危害模型STAMP和基于STAMP的分析方法STPA。提出STAMP/STPA是为了克服批准以软件为中心的系统的传统危害分析技术的困难。在本报告中,我们解释了使用面向模型的正式规范语言VDM++为云服务开发隐式规范的方法并讨论了我们的案例研究。
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引用次数: 5
Audio-Visual and EEG-Based Attention Modeling for Extraction of Affective Video Content 基于视听和脑电图的情感视频内容提取注意建模
Pub Date : 2015-01-26 DOI: 10.1109/PLATCON.2015.13
I. Mehmood, M. Sajjad, S. Baik, Seungmin Rho
Video summarization is a procedure to reduce redundancy and generate concise representation of the video data. Extracting affective key frames from video sequences is an enthusiastic approach amongst video summarization schemes. Affective key frames refer to the intensity and type of feelings that are contained in video and expected to arise in spectators mind. Recent summarization schemes consider audio and visual information. However, these data modalities are not sufficient to accurately perceive human attention, failing to extract semantically relevant content. Video content incites strong neural responses in users, which can be measured by analyzing electroencephalography (EEG) brain signals. Merging EEG and multimedia analysis can serve as a bridge, linking the digital representation of multimedia and user perception. In this context, we propose an affective video content extraction scheme that integrates human neuronal signals with audio-visual features for better perception and comprehension of digital videos. Experimental results shown that the propose model can accurately reflect user preferences, and facilitate extraction of highly affective and personalized summaries.
视频摘要是一种减少冗余,生成视频数据简洁表示的过程。从视频序列中提取情感关键帧是当前视频摘要中最热门的方法之一。情感关键帧是指视频中包含的情感的强度和类型,并期望在观众的脑海中出现。最近的摘要方案考虑了音频和视觉信息。然而,这些数据模式不足以准确感知人类的注意力,无法提取语义相关的内容。视频内容激发用户强烈的神经反应,这可以通过分析脑电图(EEG)大脑信号来测量。将脑电图与多媒体分析相结合,可以作为连接多媒体数字表示与用户感知的桥梁。在此背景下,我们提出了一种情感视频内容提取方案,该方案将人类神经元信号与视听特征相结合,以更好地感知和理解数字视频。实验结果表明,该模型能够准确反映用户偏好,有利于提取高度情感化和个性化的摘要。
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引用次数: 8
Rectangular Ring Antenna for Wearable System 可穿戴系统矩形环形天线
Pub Date : 2015-01-26 DOI: 10.1109/PLATCON.2015.27
E. Lim, Zhao Wang, Zhouhao Wu, M. Leach, K. Man
This paper performs an investigation of Radio Frequency Identification (RFID) antenna design for wearable systems. A microwave wideband dual rectangular ring antenna is selected for the further consideration. The basic concepts and structure of wearable systems and RFID antennas are discussed first, followed by an introduction to the basic structure and design parameters of a dual rectangular ring antenna. Lastly, the tri-rectangular ring antenna is introduced. Through optimization, the operating frequency band of the antenna is successfully increased.
本文对可穿戴系统的射频识别(RFID)天线设计进行了研究。为了进一步考虑,我们选择了一种微波宽带双矩形环形天线。首先讨论了可穿戴系统和RFID天线的基本概念和结构,然后介绍了双矩形环形天线的基本结构和设计参数。最后,介绍了三矩形环形天线。通过优化,成功地提高了天线的工作频带。
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引用次数: 0
Recommender Systems Using Category Correlations Based on WordNet Similarity 基于WordNet相似度的分类相关性推荐系统
Pub Date : 2015-01-26 DOI: 10.1109/PLATCON.2015.26
Sang-Min Choi, Da-Jung Cho, Yo-Sub Han, K. L. Man, Y. Sun
Recently, many internet users are not only information consumers but also information providers. There is lots of information on the Web and most people can search information what they want through the Web. One problem of the large number of data in the Web is that we often spend most of our time to find a correct result from search results. Thus, people start looking for a better system that can suggest relevant information instead of letting users go through all search results: We call such systems recommendation systems. Conventional recommendation systems are based on collaborative filtering (CF) approaches. The CF approaches have two problems: sparsity and cold-start. Some researchers have studied to alleviate the problems in CF approaches. One of them is the recommendation algorithm based on category correlations. In this study, researchers utilize genre information in movie domain as category. They have drawn genre correlations using genre counting method. This approach can alleviate the user-side cold-start problems, however, there exists one problem that extensions of the approach are less likely. If a domain has singular category, then we cannot apply previous approaches. It means that we cannot draw category correlations. Because of this reason, we propose a novel approach that can draw category correlations for not only multiple categories but also singular one. We utilize word similarities provided by WordNet.
近年来,许多互联网用户既是信息消费者,也是信息提供者。网络上有大量的信息,大多数人可以通过网络搜索他们想要的信息。Web中大量数据的一个问题是,我们经常花费大部分时间从搜索结果中找到正确的结果。因此,人们开始寻找一个更好的系统,可以建议相关的信息,而不是让用户浏览所有的搜索结果:我们称这样的系统为推荐系统。传统的推荐系统是基于协同过滤(CF)方法的。CF方法有两个问题:稀疏性和冷启动。一些研究者已经开始研究如何缓解CF方法中存在的问题。其中之一是基于类别相关性的推荐算法。在本研究中,研究者利用电影领域的类型信息作为分类。他们使用类型计数法绘制了类型相关性。这种方法可以缓解用户端冷启动问题,但是,存在一个问题,该方法的扩展不太可能。如果一个领域具有奇异范畴,那么我们就不能应用以前的方法。这意味着我们无法绘制类别相关性。因此,我们提出了一种新的方法,既可以绘制多个类别的类别相关性,也可以绘制单个类别的类别相关性。我们利用WordNet提供的单词相似度。
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引用次数: 4
期刊
2015 International Conference on Platform Technology and Service
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