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2012 13th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing最新文献

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Kansei Information and Movement Characteristics Related to the Expression of Joy in Dance: An Investigation for Analyzing Rousing and Stimulating Dance Motions 舞蹈中与喜悦表达相关的感性信息和动作特征:对振奋和刺激舞蹈动作分析的调查
Nao Shikanai, K. Hachimura, Misako Sawada, Motonobu Ishii
This experiment investigated the kansei information and movement characteristics that observers use to perceive expressions of joy in dance. Expressing joy with movements by dancers was recorded. Observers then rated words related to kansei and characteristics of the movements. The results of factor analyses and multiple regression analyses indicated that the expression of joy in dance has particular features. Joy in dance consists of gDynamics, h gExtensity, h gStability, h gFlowing, h gFlexion of the body, h gUpward extension of the limbs, h gForward movement, h gUpward movement, h gDiagonally forward locomotion, h and gWalking. h Stability, movements using space with little downward movement and more upward extension of the limbs, tended to have a greater effect on perceiving movements as expressing joy.
本实验研究了观察者用来感知舞蹈中喜悦表情的感性信息和动作特征。记录了舞者用动作表达喜悦的过程。然后观察人员对与感性相关的单词和动作特征进行评分。因子分析和多元回归分析结果表明,舞蹈中喜悦的表达具有一定的特点。舞蹈的乐趣包括:动态、伸展、稳定、流动、身体弯曲、肢体向前伸展、向前运动、向前运动、斜向运动、步行。稳定性,利用空间的动作,很少向下运动,更多的向上伸展肢体,往往对感知表达喜悦的动作有更大的影响。
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引用次数: 2
Multimodal Medical Image Fusion in Modified Sharp Frequency Localized Contourlet Domain 改进的锐利频率局部轮廓波域多模态医学图像融合
S. Serikawa, Huimin Lu, Yujie Li, Lifeng Zhang
As a novel of multi-resolution analysis tool, the modified sharp frequency localized contour let transforms (MSFLCT) provides flexible multiresolution, anisotropy, and directional expansion for medical images. In this paper, we proposed a new fusion rule for multimodal medical images based on MSFLCT. The multimodal medical images are decomposed by MSFLCT. For the high-pass sub band, the weighted sum modified laplacian (WSML) method is used for choose the high frequency coefficients. For the low pass sub band, the maximum local energy (MLE) method is combined with "region" idea for low frequency coefficient selection. The final fusion image is obtained by applying inverse MSFLCT to fused low pass and high pass sub bands. Abundant experiments have been made on groups of multimodality datasets, both human visual and quantitative analysis show that the new strategy for attaining image fusion with satisfactory performance.
作为一种新型的多分辨率分析工具,改进的尖锐频率局部化轮廓let变换(MSFLCT)为医学图像提供了灵活的多分辨率、各向异性和定向扩展。本文提出了一种新的基于MSFLCT的多模态医学图像融合规则。采用MSFLCT对多模态医学图像进行分解。对于高通子带,采用加权和修正拉普拉斯(WSML)方法选择高频系数。对于低通子带,将最大局部能量法与“区域”思想相结合,进行低频系数选择。通过对融合后的低通和高通子带进行逆MSFLCT处理,得到最终的融合图像。在多模态数据集上进行了大量的实验,实验结果表明,该方法能够获得满意的图像融合效果。
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引用次数: 5
A Study on the Using Behavior of Depot-Logistic Information System in Taiwan: An Integration of Satisfaction Theory and Technology Acceptance Theory 台湾仓库物流信息系统使用行为研究:满意度理论与技术接受理论的整合
Chung-Hung Tsai, Dauw-Song Zhu, Yu-Li Lan, Ding-Long Li
The Depot-Logistic Information Management System (DLIMS) is aimed to provide the Air Force logistics staff of all sectors with an information technology platform for convenience of management, supervision, aircraft maintenance, along with supply operations. The DLIMS in Taiwan has been established for more than 10 years. However, it has not been evaluated for its effectiveness. This study integrates service quality into Wixom and Todd (2005) model to evaluate the effectiveness of the DLIMS. A survey of 273 users of DLIMS was conducted to validate the proposed model. The research results show that the overall goodness-of-fit indices indicate a reasonable fit of the model and data. This study emphasizes the importance of integration of satisfaction theory and technology acceptance theory to comprehensively illustrate the effectiveness of DLIMS. The integrative viewpoint implies that DLIMS is not only a logistic information system but also a service provider to the Air Force. Accordingly, the professional staff officers IS department, logistics sectors and headquarters should value simultaneously object-based functions and service quality, in order to improve users' satisfaction, which in turn can promote users' behavioral beliefs and usage intention. The findings can be a reference for the Air Force logistics sectors to make policies as well as be a basis for evaluation of success and acceptance of military-related information system.
仓库后勤信息管理系统(DLIMS)旨在为所有部门的空军后勤人员提供一个信息技术平台,以方便管理、监督、飞机维护以及供应操作。台湾DLIMS成立至今已有十多年的历史。然而,尚未对其有效性进行评估。本研究将服务质量纳入Wixom和Todd(2005)的模型来评估DLIMS的有效性。对273名DLIMS用户进行了调查,以验证所提出的模型。研究结果表明,总体拟合优度指标表明模型与数据的拟合是合理的。本研究强调满意度理论与技术接受理论的整合,以全面说明DLIMS的有效性。一体化的观点意味着DLIMS不仅是一个后勤信息系统,而且是空军的服务提供者。因此,信息系统部门、后勤部门和总部的专业参谋应同时重视基于对象的功能和服务质量,以提高用户的满意度,从而促进用户的行为信念和使用意愿。研究结果可为空军后勤部门制定政策提供参考,也可作为评价军事相关信息系统成功与否和接受程度的依据。
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引用次数: 7
Person Identification Using Top-View Image with Depth Information 基于深度信息的俯视图人物识别
Daichi Kouno, Kazutaka Shimada, Tsutomu Endo
In this paper, we describe a novel image-based person identification task. Traditional face-based person identification methods have a low tolerance for occluded situation, such as overlapping of people in an image. We focus on an image from an overhead camera. Using the overhead camera reduces a restriction of the installation location of a camera and solves the problem of occluded images. In addition, we utilize depth information for the identification task. We apply four features to the identification method, (1) estimated body height, (2) estimated body dimensions, (3) estimated body size and (4) depth histogram. Experimental result shows the effectiveness of our method.
在本文中,我们描述了一种新的基于图像的人物识别任务。传统的基于人脸的人物识别方法对遮挡情况的容忍度较低,例如图像中人物的重叠。我们聚焦于头顶摄像机拍摄的图像。使用顶置摄像机减少了摄像机安装位置的限制,解决了遮挡图像的问题。此外,我们利用深度信息进行识别任务。我们将四个特征应用于识别方法,(1)估计身体高度,(2)估计身体尺寸,(3)估计身体尺寸和(4)深度直方图。实验结果表明了该方法的有效性。
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引用次数: 24
SARA: A Self-Adaptive Routing Algorithm in Wireless Sensor Network 无线传感器网络中一种自适应路由算法
Yi Zhang, Zhiyi Fang, Hongyu Sun, Lin Chen
With the development of WSN applications, there is increasing concern for the research of WSN. The routing algorithm is one of the important supporting technologies of WSN. However, the current studies of routing algorithms focus on the single performance. For instance, the aim of Energy Multipath Routing Algorithm is to maximize the network life cycle. And the aim of the Minimal-hop routing algorithm is to minimize the network transmission delay. This paper synthesizes the three performance indicators, namely network life cycle, network latency and network reliability to propose a Self-adaptive Routing Algorithm (SARA). SARA could satisfy different network requirements by adjusting the parameters. The experimental result shows that SARA can reduce the network latency, extend the network lifecycle and enhance the network reliability compared with the Multi-path energy efficient algorithm.
随着无线传感器网络应用的不断发展,对无线传感器网络的研究日益受到关注。路由算法是无线传感器网络的重要支撑技术之一。然而,目前对路由算法的研究主要集中在单一性能上。例如,能量多径路由算法的目标是使网络生命周期最大化。最小跳数路由算法的目标是使网络传输延迟最小。本文综合了网络生命周期、网络时延和网络可靠性三个性能指标,提出了一种自适应路由算法(SARA)。SARA可以通过调整参数来满足不同的网络需求。实验结果表明,与多路径节能算法相比,SARA算法可以降低网络时延,延长网络生命周期,提高网络可靠性。
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引用次数: 3
A Novel Online Event Analysis Framework for Micro-blog Based on Incremental Topic Modeling 基于增量主题建模的微博在线事件分析框架
Huifang Ma, Bo Wang, Ning Li
In this paper, we present a scalable implementation of a topic modeling (Adaptive Link-IPLSA) based method for online event analysis, which summarize the gist of massive amount of changing tweets and enable users to explore the temporal trends in topics. This model also can simultaneously maintain the continuity of the latent semantics to better capture the time line development of events. With the help of this model, users can quickly grasp major topics in these twitters. The preliminary results show that our method leads to more balanced and comprehensive improvement for online event detection compared to benchmark approaches. Additionally our algorithm is computationally feasible in near real-time scenarios making it an attractive alternative for capturing the rapidly changing dynamics of microblogs.
在本文中,我们提出了一种可扩展的基于主题建模(Adaptive Link-IPLSA)的在线事件分析方法,该方法总结了大量tweet变化的要点,并使用户能够探索主题的时间趋势。该模型还可以同时保持潜在语义的连续性,更好地捕捉事件的时间线发展。在这个模型的帮助下,用户可以快速掌握这些推特中的重大话题。初步结果表明,与基准方法相比,我们的方法对在线事件检测的改进更加平衡和全面。此外,我们的算法在接近实时的场景中计算可行,使其成为捕捉微博快速变化动态的有吸引力的替代方案。
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引用次数: 9
PL-LAB: Polish Future Internet Distributed Laboratory PL-LAB:波兰未来互联网分布式实验室
Radoslaw Krzywania, L. Dolata, P. Krawiec, Waldemar Latoszek, A. Szymanski, J. Wszolek
In this paper we present the PL-LAB, which is a Polish nationwide network test bed involving several research and academia institutions. PL-LAB was designed to facilitate research in the area of Future Internet carried out within the Future Internet Engineering (FIE) project. It allows researchers to create virtual laboratories, with guaranteed resources and direct physical access to laboratory equipment. This way, PL-LAB enables running, among others, experiments that deal with virtualization, which is the base concept for the FIE proposal of Future Internet architecture.
在本文中,我们介绍了PL-LAB,这是一个波兰全国性的网络试验台,涉及几个研究和学术机构。PL-LAB旨在促进在未来互联网工程(FIE)项目中开展的未来互联网领域的研究。它允许研究人员创建虚拟实验室,保证资源和对实验室设备的直接物理访问。通过这种方式,PL-LAB可以运行处理虚拟化的实验,而虚拟化是未来互联网架构的FIE提案的基本概念。
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引用次数: 7
Survey on Body of Knowledge Regarding Software Security 软件安全知识体系调查
A. Hazeyama
With an increase in the services on the Internet, importance for software security technologies has been recognized. A number of research and development programs regarding software security have been carried out thus far. However, it is not clear how these technologies can be combined in order to utilize them effectively. This paper proposes a conceptual model for a body of knowledge regarding software security. In addition, this paper introduces an overview of technologies developed for different pieces of knowledge and the current status of research that has clarified the relationships between these pieces of knowledge. Finally, the author discusses the future direction of this field.
随着互联网服务的增加,软件安全技术的重要性已被认识到。到目前为止,已经开展了许多关于软件安全的研究和开发计划。然而,目前尚不清楚如何将这些技术结合起来以便有效地利用它们。本文提出了一个关于软件安全的知识体系的概念模型。此外,本文还概述了针对不同知识块开发的技术,以及澄清这些知识块之间关系的研究现状。最后,对该领域的未来发展方向进行了展望。
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引用次数: 11
Estimation of Kandoh Degree with Emphasis on Spatial Sound Impressions 基于空间声印象的可达度估计
Satoshi Oode, A. Ando
It has recently been recognized that a method of evaluating audio-visual systems from the viewpoint of Kansei information is necessary for the development of high-presence audio-visual equipment. In this work, it is shown that the Kandoh, which is one aspect of Kansei information that considers various emotions, evoked by audio materials depends on the channel configuration of multichannel audio (MCA). Audio materials reproduced by eight loudspeaker arrangements (fourteen reproduction conditions) were evaluated by using a Kandoh grading scale. Then, a model to estimate the degree to which Kandoh is emphasized by spatial sound impressions is proposed. The relationship between the degree of Kandoh and the physical properties of the reproduced sound was investigated using multiple regression analysis. As a result, the degree of Kandoh could be estimated from physical properties.
最近已经认识到,从感性信息的角度评价视听系统的方法对于开发高存在的视听设备是必要的。在这项工作中,它显示了Kandoh,这是感性信息的一个方面,考虑到各种情绪,由音频材料引起的,取决于多通道音频(MCA)的通道配置。使用Kandoh分级量表对8种扬声器布置(14种再现条件)再现的音频材料进行评估。在此基础上,提出了空间声印象对Kandoh强调程度的估计模型。采用多元回归分析方法研究了复刻声的物理性质与复刻声度之间的关系。因此,Kandoh的程度可以从物理性质来估计。
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引用次数: 0
A Computational Model of Imitation and Autonomous Behavior 模仿与自主行为的计算模型
Tatsuya Sakato, Motoyuki Ozeki, N. Oka
Learning is essential for an autonomous agent to adapt to an environment. One method that can be used is learning through trial and error. However, it is impractical because of the long learning time required when the agent learns in a complex environment. Therefore, some guidelines are necessary to expedite the learning process in a complex environment. Imitation of the behavior of other agents who have already adapted to the environment would shorten an agent's learning time. Thus, imitation can be used by agents as a guideline for learning. In this study, we propose a computational model of imitation and autonomous behavior. We expect that an agent can reduce its learning time through imitation. The actions that an agent performs are represented by a set of features such as the type, location, and object of an action. The agent tends to imitate the similar actions of other agents, and the similarity between actions is calculated, which is indicative of the importance of each feature. The proposed model is evaluated using a dining table simulator. The experimental results indicate that the proposed model can adapt to the environment faster than a baseline model that learns only through trial and error, and that the proposed model can shorten the learning time further if the importance of each feature can be adjusted by learning.
学习对于自主代理适应环境至关重要。一种可以使用的方法是通过试错来学习。然而,由于智能体在复杂环境中学习需要很长的学习时间,这是不切实际的。因此,需要一些指导方针来加快复杂环境中的学习过程。模仿已经适应环境的其他智能体的行为会缩短智能体的学习时间。因此,模仿可以被智能体用作学习的指导。在这项研究中,我们提出了一个模仿和自主行为的计算模型。我们期望智能体可以通过模仿来缩短学习时间。代理执行的操作由一组特征表示,例如操作的类型、位置和对象。智能体倾向于模仿其他智能体的相似动作,并计算动作之间的相似度,这表明了每个特征的重要性。利用餐桌模拟器对所提出的模型进行了评估。实验结果表明,该模型比仅通过试错学习的基线模型对环境的适应速度更快,并且如果可以通过学习调整每个特征的重要性,则该模型可以进一步缩短学习时间。
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引用次数: 2
期刊
2012 13th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing
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