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2011 3rd International Conference on Awareness Science and Technology (iCAST)最新文献

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Model based development of a meta-leraning support system to prompt self-awareness through presenation for meta-learning 基于模型的元学习支持系统的开发,通过元学习的呈现来促进自我意识
Pub Date : 2011-09-01 DOI: 10.1109/ICAWST.2011.6163175
Kazuhisa Seta, M. Ikeda
It is difficult to generalize and accumulate experiences of system development as methodologies for building meta-learning support systems because the meaning of “meta-cognition” is vague. Therefore, the importance of a model oriented system development approach has been recognized. It contributes to systematic refinement of each learning system by iterating a loop that building a model that can clarify design rationale of the system, developing and evaluating each learning system according to the model, and revising the model based on it. Moreover we can accumulate knowledge on meta-learning system development based on it. Thus, we adopt a model-oriented approach: (i) we adopt Kayashima's computational model as a basis to build a meta-learning task model and we add two factors of difficulties in performing meta-learning activities, (ii) we conceptualize five concepts for building meta-learning scheme that clarifies means to remove/ eliminate the factors of difficulties; then (iii) we embed support functions to facilitate meta-learning processes based on the model. This constitutes a promising approach not only for building learning support systems but also for accumulating/ revising knowledge on the system development. In this paper, we firstly describe the philosophy of our research to elucidate our model-oriented approach. Secondly, we present a meta-learning process model as a basis for understanding meta-learning tasks and what factors of difficulty exist in performing meta-learning activities. Thirdly, we explain our conceptualizations as a basis to design sophisticated meta-learning scheme to prompt learners' meta-learning processes. Fourthly, we integrate a meta-learning process model and conceptualizations so that we design our meta-learning scheme based on the deep understanding of meta-learning processes. Then, we present our presentation-based meta-learning scheme designed based on the model and clarify the design rationale of our system based on the model. Finally, we describe the usefulness of the model by characterizing other meta-cognition support schemes.
由于“元认知”的含义是模糊的,很难将系统开发的经验作为构建元学习支持系统的方法进行概括和积累。因此,面向模型的系统开发方法的重要性已经得到了认识。它通过建立一个能够阐明系统设计原理的模型,根据模型开发和评估每个学习系统,并在此基础上修改模型的循环,有助于系统地改进每个学习系统。此外,我们还可以在此基础上积累元学习系统开发的知识。因此,我们采用面向模型的方法:(i)采用Kayashima的计算模型作为构建元学习任务模型的基础,并增加了执行元学习活动的两个困难因素;(ii)我们概念化了构建元学习方案的五个概念,阐明了消除/消除困难因素的方法;然后(iii)我们嵌入支持函数以促进基于模型的元学习过程。这是一种很有前途的方法,不仅可以建立学习支持系统,而且可以积累/修改系统开发方面的知识。在本文中,我们首先描述了我们的研究理念,以阐明我们的面向模型的方法。其次,我们提出了一个元学习过程模型,作为理解元学习任务和执行元学习活动中存在的困难因素的基础。第三,我们解释了我们的概念,作为设计复杂元学习方案的基础,以促进学习者的元学习过程。第四,我们整合了元学习过程模型和概念,从而基于对元学习过程的深入理解来设计我们的元学习方案。然后,我们提出了基于模型设计的基于表示的元学习方案,并阐明了基于模型的系统设计原理。最后,我们通过描述其他元认知支持方案来描述模型的有用性。
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引用次数: 1
Three-phase high voltage power supply design for electrostatic precipitator based on phase sequence self-adaption and redundant spark detection 基于相序自适应和冗余火花检测的静电除尘器三相高压电源设计
Pub Date : 2011-09-01 DOI: 10.1109/ICAWST.2011.6163142
Zhuohan Li, Cheng Shao, Yi An, Cheng-bo Sun, You-Zu Lin, Xiaofang Wang
The three-phase power supply has the advantages of small voltage ripple, balance three-phase load and high output power. It is suitable for application in the large electrostatic precipitators of the sintering machine head and the coal fired boiler. This paper designs the three-phase power supply based on phase sequence self-adaption and redundant spark detection. The winding connection mode of Y-Y and the full-bridge rectification circuit are used. This is beneficial to the energy saving, and the energy saving effect is also analyzed. In addition, the three-phase intermittent control is realized. The comparative experiments of voltage boosting between the three-phase power supply and the single-phase power supply demonstrate that the proposed design is effective.
该电源具有电压纹波小、三相负载均衡、输出功率大等优点。适用于烧结机机头、燃煤锅炉的大型静电除尘器。本文设计了一种基于相序自适应和冗余火花检测的三相电源。采用Y-Y绕组连接方式和全桥整流电路。这有利于节能,并对节能效果进行了分析。此外,还实现了三相间歇控制。通过三相电源和单相电源升压的对比实验,验证了该设计的有效性。
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引用次数: 2
Design of a 3D localization method for searching survivors after an earthquake based on WSN 基于WSN的地震幸存者三维定位方法设计
Pub Date : 2011-09-01 DOI: 10.1109/ICAWST.2011.6163144
Junbo Wang, Zixue Cheng, Lei Jing, Taishi Yoshida
Localization is one of key technologies in Internet of Things (IoT) and Wireless Sensor Network (WSN). Various applications have been proposed based on it, e.g. location-aware services. Currently, there are many approaches to locate a person, e.g. based on GPS, RFID, ultrasonic signal etc based on various methods, e.g. TOA, TDOA, AOA, RSSI etc. However, when an earthquake happens, the localization devices in building may be damaged and how to quickly locate the survivors buried in the collapse regional is a key issue, which can save many lives. In the paper, we propose a new method to locate a 3D location of the survivors, i.e. also computing the depth of the buried survivors based on WSN. The method mainly consists of two stages. In the first stage, a draft location of the survivors is computed based on mobile base stations. And then the accurate location of the survivor, i.e. the 3D location, is calculated by an equilateral triangle device with a mobile beacon node.
定位是物联网(IoT)和无线传感器网络(WSN)的关键技术之一。在此基础上提出了各种应用,例如位置感知服务。目前,定位人的方法有很多,如基于GPS、RFID、超声波信号等,基于各种方法,如TOA、TDOA、AOA、RSSI等。然而,当地震发生时,建筑物中的定位装置可能会遭到破坏,如何快速定位埋在坍塌区域的幸存者是一个关键问题,可以挽救许多人的生命。在本文中,我们提出了一种新的方法来定位幸存者的三维位置,即基于WSN计算被埋幸存者的深度。该方法主要包括两个阶段。在第一阶段,根据移动基站计算幸存者的大致位置。然后通过带移动信标节点的等边三角形装置计算幸存者的准确位置,即三维位置。
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引用次数: 20
An efficient context-aware character input algorithm for mobile phone based on artificial neural network 一种基于人工神经网络的高效上下文感知手机字符输入算法
Pub Date : 2011-09-01 DOI: 10.1109/ICAWST.2011.6163163
Masafumi Matsuhara, Satoshi Suzuki
Opportunities and needs are increasing to input Japanese sentences on mobile phones since performance of mobile phones is improving. Applications like E-mail, Web search and so on are widely used on mobile phones now. We need to input Japanese sentences using only 12 keys on mobile phones. We have proposed a method to input Japanese sentences on mobile phones quickly and easily. We call this method Number-Kanji translation method. The number-string inputted by a user is translated into string to Kana-string is a one-to-many mapping. Therefore, it is difficult to translate a number-string into the correct sentence intended by the user. The proposed context-aware mapping method is able to disambiguate a number-string by artificial neural network (ANN). The system is able to translate number-segments into the intended words because the system becomes aware of the correspondence of number-segments with Japanese words through learning by ANN. The system does not need a dictionary. We also show the effectiveness of our proposed method by the result of the evaluation experiment.
随着手机性能的提高,在手机上输入日语句子的机会和需求也在增加。像电子邮件、网络搜索等应用程序现在在手机上被广泛使用。我们需要在手机上用12个键输入日语句子。我们提出了一种在手机上快速方便地输入日语句子的方法。我们称这种方法为数字-汉字翻译法。用户输入的数字-字符串转换成字符串到名称-字符串是一对多的映射。因此,很难将数字字符串翻译成用户想要的正确句子。本文提出的上下文感知映射方法能够利用人工神经网络(ANN)消除数字字符串的歧义。通过人工神经网络的学习,系统意识到数字段与日语单词的对应关系,因此系统能够将数字段翻译成预期的单词。系统不需要字典。通过评价实验验证了该方法的有效性。
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引用次数: 5
Human body segmentation in a static image with multiscale superpixels 多尺度超像素静态图像的人体分割
Pub Date : 2011-09-01 DOI: 10.1109/ICAWST.2011.6163091
Meng Yao, Huchuan Lu
In this work, we propose a new method for human body accurate detection in a static image with multiscale superpixels. The main contribution of this work is as follows: (1) A new framework for human body accurate detection using multiscale superpixels and classifier with autothreshold is proposed. (2) Some effective constraints for human body detection are given. Experimental results show the framework can accurately detect the human body in most situations. The dataset we use is a collection of photos of humans, varying in pose and clothing with complex backgrounds.
本文提出了一种多尺度超像素静态图像中人体精确检测的新方法。本文的主要贡献如下:(1)提出了一种基于多尺度超像素和自动阈值分类器的人体精确检测新框架。(2)给出了人体检测的有效约束条件。实验结果表明,该框架在大多数情况下都能准确地检测到人体。我们使用的数据集是人类照片的集合,在复杂的背景下,姿势和服装各不相同。
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引用次数: 4
Distributed Compressed Sensing for biomedical signals 生物医学信号的分布式压缩感知
Pub Date : 2011-09-01 DOI: 10.1109/ICAWST.2011.6163150
Qun Wang, Zhiwen Liu
This paper presents a novel iterative greedy algorithm for Distributed Compressed Sensing (DCS) scenario based on backtracking technique, which is denoted by DCS-SAMP. The algorithm can reconstruct several input signals simultaneously, even when the measurements are contaminated with noise and without any prior information of their sparseness. It can provide a fast runtime while also offers comparably theoretical guarantees as the best optimization-based approach. This makes it as a promising candidate for many practical applications,such as Tele-Health or Telemedicine. Numerical experiments are performed to demonstrate the validity and high performance of the proposed DCS-SAMP algorithm for multichannel biomedical signals.
提出了一种基于回溯技术的分布式压缩感知(DCS)场景迭代贪心算法,用DCS- samp表示。该算法可以同时重建多个输入信号,即使测量结果被噪声污染,并且没有任何先验的稀疏性信息。它可以提供快速的运行时,同时作为最佳的基于优化的方法提供相对理论上的保证。这使它成为许多实际应用的有希望的候选者,例如远程保健或远程医疗。数值实验验证了该算法对多通道生物医学信号的有效性和高性能。
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引用次数: 0
IF-THEN in the Internet of Things 物联网中的IF-THEN
Pub Date : 2011-09-01 DOI: 10.1109/ICAWST.2011.6163180
Deze Zeng, Song Guo, Zixue Cheng, A. Pham
With the advent of Internet of Things (IoT), more and more smart things automatically engage in people's daily life by various means as they are becoming capable of computation and communication. Both challenges and opportunities are posed. To exploit the potential of IoT, different concepts from various points of view have been explored. One of the IoT developing trend is so-called Ambient Intelligence (AI), which refers to things that are sensitive and responsive to the presence of other things and people. The things shall be aware of ambient environments (e.g., other things or people) and take actions accordingly. However, complicated configuration of AI hinders the popularity of IoT. To tackle this problem, we advocate applying the highly abstract concept of “IF-THEN” as the front-end of AI in IoT. To realize such a concept, we present a preliminary design in this paper, including issues of the architecture design, the uniformly understandable language and function assembly.
随着物联网(IoT)的出现,越来越多的智能事物以各种方式自动参与到人们的日常生活中,它们具有计算和通信的能力。机遇与挑战并存。为了挖掘物联网的潜力,人们从不同的角度探索了不同的概念。物联网发展趋势之一是所谓的环境智能(AI),它指的是对其他事物和人的存在敏感和响应的事物。对周围环境(如其他事物或人)的感知,并采取相应的行动。然而,人工智能的复杂配置阻碍了物联网的普及。为了解决这个问题,我们提倡将高度抽象的“IF-THEN”概念作为物联网中AI的前端。为了实现这一概念,本文提出了一个初步的设计方案,包括体系结构设计、统一可理解语言和功能汇编等问题。
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引用次数: 6
A steering kernel based nonlocal-means method for image denoising 基于转向核的非局部均值图像去噪方法
Pub Date : 2011-09-01 DOI: 10.1109/ICAWST.2011.6163125
Wenchao Jin, Jinqing Qi
The nonlocal-means (NLM) is a powerful method for image denoising which takes advantage of the redundancy of similar patches in the image. The steering kernel regression is a non-parametric estimation for image restoration that develops a data-adapted steering kernel based on local orientation estimate. In this paper, a steering kernel based nonlocal-means filter (SK-NLM) has been developed which not only exploits the self-similarity of the image, but also considering the structural information by the steering kernel. Experimental results show that the proposed method effectively improve the PSNR while preserving local structures.
非局部均值(NLM)方法利用图像中相似块的冗余性,是一种强大的图像去噪方法。转向核回归是一种用于图像恢复的非参数估计,它基于局部方向估计开发数据自适应的转向核。本文提出了一种基于转向核的非局部均值滤波器(SK-NLM),该滤波器不仅利用了图像的自相似性,而且考虑了转向核的结构信息。实验结果表明,该方法在保留局部结构的同时,有效地提高了PSNR。
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引用次数: 1
Cognitive radio systems: Overview and challenges 认知无线电系统:概述和挑战
Pub Date : 2011-09-01 DOI: 10.1109/ICAWST.2011.6163179
Van Tam Nguyen, F. Villain, Y. L. Guillou
Cognitive radio system (CRS) is a disruptive technology targeting very high spectral efficiency. This paper presents an overview of CRS and summarizes the related regulation and standardization status. We point out some key research challenges, especially implementation challenges of cognitive radio and deduce research directions in CRS. Despite numerous challenges, the timeframe for the success of CRS is more linked to the economical and business model than real technological issues.
认知无线电系统(CRS)是一种以极高频谱效率为目标的颠覆性技术。本文介绍了CRS的概况,总结了CRS的相关法规和标准化现状。指出了认知无线电在CRS中面临的一些关键研究挑战,特别是在实现方面的挑战,并推断了CRS的研究方向。尽管面临诸多挑战,但CRS成功的时间框架更多地与经济和商业模式有关,而不是真正的技术问题。
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引用次数: 9
Robustness of semi-passive dynamic walking models for steep slopes 陡坡半被动动态行走模型的鲁棒性
Pub Date : 2011-09-01 DOI: 10.1109/ICAWST.2011.6163160
Kazuma Suzuki, K. Naruse
Passive Dynamic Walker can descend a shallow slope only using an initial velocity and the gravity. It has good energy efficiency because it does not require any actuator. However, it has been known that it cannot walk on a steep slope. Controlled walking models, called “semi-passive dynamic walkers” are considered in this research to accomplish stable walking on the steep slope. The experimental model is defined as the compass shaped model which has control to the hip joint and ankle joint. Three different controlled models are tested to investigate the characteristics of walking. As the result the controlled model accomplishes steep slope walking and it has some robustness to the angle of the slope if sufficient torque is added.
被动动态步行者可以只用初始速度和重力下一个浅斜坡。它具有良好的能源效率,因为它不需要任何执行机构。然而,众所周知,它不能在陡坡上行走。本研究采用控制步行模型,即“半被动动态步行器”来实现陡坡上的稳定步行。实验模型定义为对髋关节和踝关节具有控制作用的圆规形模型。测试了三种不同的控制模型来研究步行的特性。结果表明,控制模型可以实现陡坡行走,并且在加入足够力矩的情况下,对陡坡角度具有一定的鲁棒性。
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引用次数: 0
期刊
2011 3rd International Conference on Awareness Science and Technology (iCAST)
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