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2006 International Symposium on Intelligent Signal Processing and Communications最新文献

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Implementation of a Fuzzy PID Controller Using Neural Network on the Magnetic Levitation System 磁悬浮系统模糊PID控制器的神经网络实现
Pub Date : 2006-12-01 DOI: 10.1109/ISPACS.2006.364744
A. Trisanto, M. Yasser, Jianming Lu, T. Yahagi
This paper presents the fuzzy PID (FPID) controller using neural network (NN) for controlling the magnetic levitation system. Magnetic levitation systems are open loop unstable, uncertainly and inherently nonlinear systems. Consequently, controlling this kind of the system is very difficulty. The FPID controller is developed to provide nonlinear or linear control action that can improve performance of the controller in comparison with a conventional PID controller using only linear policy. Unfortunately, since FPID controller are nonlinear, it is more difficult to set the controller gains compared the linear PID controller. In this paper we propose a neural network to assist the FPID controller. The NN is added in parallel with FPID controller. The NN is used to compensate for inadequate FPID parameters and for stabilize the magnetic levitation system. The uniqueness our method is when the parameters of FPID are incorrect, then the NN takes over the controller, otherwise the NN does not operate. Online training and fast computing of the NN has been designed for that purposes. Finally, the experiment results showed the effectiveness of the proposed method
提出了一种利用神经网络控制磁悬浮系统的模糊PID (FPID)控制器。磁悬浮系统是开环不稳定的、不确定的、固有的非线性系统。因此,控制这种系统是非常困难的。与仅使用线性策略的传统PID控制器相比,FPID控制器开发用于提供非线性或线性控制动作,可以提高控制器的性能。不幸的是,由于FPID控制器是非线性的,与线性PID控制器相比,更难设置控制器增益。在本文中,我们提出一种神经网络来辅助FPID控制器。神经网络与FPID控制器并行加入。利用神经网络对FPID参数的不足进行补偿,实现磁悬浮系统的稳定。该方法的唯一性在于当FPID参数不正确时,神经网络接管控制器,否则神经网络不运行。网络的在线训练和快速计算就是为此目的而设计的。最后,通过实验验证了该方法的有效性
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引用次数: 8
Study of local alternative ad hoc routing protocol for the exposed terminal problem 针对暴露终端问题的本地可选自组织路由协议研究
Pub Date : 2006-12-01 DOI: 10.1109/ISPACS.2006.364834
Takanori Watanabe, K. Naito, K. Mori, Hideo Kobayashi
Ad-hoc network is an autonomous network that consists of only mobile terminals without an infrastructure such as base stations. The wireless LAN system with IEEE 802.11 standard is one of the candidate schemes to realize ad-hoc network. In IEEE 802.11, CSMA/CA (carrier sense multiple access with collision avoidance) is used as access control method. Moreover RTS/CTS (request to send/clear to send) mechanism is implemented to solve the hidden terminal problem. However it is well known that RTS/CTS mechanism causes the exposed terminal problem in which the communication route between terminals would be suppressed. In this paper, we clarify the effect of the exposed terminal problem to the ad-hoc networks. Moreover we propose a local alternative routing protocol method that prepares back up routes to avoid the temporary suppression of transmissions. Simulation results show that the proposed method can prevent the route reconstruction and improve the packet delivery ratio
Ad-hoc网络是一种仅由移动终端组成的自治网络,没有基站等基础设施。采用IEEE 802.11标准的无线局域网系统是实现自组织网络的备选方案之一。在IEEE 802.11中,使用CSMA/CA (carrier sense multiple access with collision avoidance)作为访问控制方法。此外,还实现了RTS/CTS(请求发送/清除发送)机制,解决了终端隐藏问题。然而,众所周知,RTS/CTS机制会导致终端暴露问题,终端之间的通信路由会受到抑制。本文阐明了终端暴露问题对自组织网络的影响。此外,我们还提出了一种本地备用路由协议方法,该方法准备备份路由以避免传输的临时抑制。仿真结果表明,该方法能够有效地防止路由重构,提高分组分发率
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引用次数: 1
A DVB-S2 compliant LDPC decoder integrating the Horizontal Shuffle Scheduling 一个兼容DVB-S2的LDPC解码器,集成了水平Shuffle调度
Pub Date : 2006-12-01 DOI: 10.1109/ISPACS.2006.364808
Arthur Segard, Frangois Verdier, David Declercq, Pascal Urardt
Low-density parity check codes (LDPC) are a class of channel decoding codes used in digital communications. Very high error correcting performances can be reached with such codes but they require both a great computing effort and randomly constructed decoding matrices. LDPC codes are used to perform the channel coding of the satellite television broadcast standard DVB-S2. This paper proposes a way to design massively parallel hardware architecture of DVB-S2 compliant LDPC decoders. It is based on a particular way to schedule all the algorithm's calculations. The proposed architecture speeds-up the decoding process, allowing the algorithm to converge faster with no significant performance loss. Moreover, a particular data update mechanism has been developed in order to avoid all data conflicts inherent to DVB-S2 matrices even for highly parallel implementations. This paper describes our hardware LDPC decoder architecture and its processing elements. Estimated silicon area of this decoder is 11 mm in ST 90 nm technology and the decoding throughput reaches 591 M bps at 300 MHz for rate 1/2 and code size of 64800
低密度奇偶校验码(LDPC)是一种用于数字通信的信道解码码。这种码可以达到很高的纠错性能,但需要大量的计算量和随机构造的译码矩阵。LDPC码用于执行卫星电视广播标准DVB-S2的信道编码。提出了一种适合DVB-S2标准的LDPC解码器的大规模并行硬件架构设计方法。它基于一种特殊的方式来安排所有算法的计算。所提出的架构加快了解码过程,使算法在没有显著性能损失的情况下更快地收敛。此外,为了避免DVB-S2矩阵固有的所有数据冲突,甚至对于高度并行的实现,也开发了一种特定的数据更新机制。本文介绍了我们的硬件LDPC解码器体系结构及其处理元件。在ST 90纳米技术下,该解码器的硅面积估计为11毫米,解码吞吐量在300 MHz下达到591 M bps,速率为1/2,代码大小为64800
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引用次数: 33
Robust Eye Detection Using Self Quotient image 基于自商图像的鲁棒眼检测
Pub Date : 2006-12-01 DOI: 10.1109/ISPACS.2006.364882
Sung-Uk Jung, Jang-Hee Yoo
We propose a novel method of eye detection that is robust to obstacles such as the surrounding illumination, hair, glasses and etc. The obstacles above the face images are the constraints to detect eye position. These constraints affect the performance of face application systems such as face recognition, gaze tracking, and video indexing system. To overcome this problem, our method for eye detection consists of three steps. In preprocess, we apply SQI (self quotient image) to the face images to reduce illumination effect. Then, we extract the eye candidates by using the gradient descent which is simple and fast computing method. Finally, the classifier which has trained by using AdaBoost algorithm selects the eyes from all of the eye candidates. The usefulness of proposed method has been demonstrated in experiments with the eye detection performance
我们提出了一种新的眼睛检测方法,该方法对周围照明、头发、眼镜等障碍物具有鲁棒性。人脸图像上方的障碍物是人眼位置检测的约束条件。这些限制因素影响了人脸识别、注视跟踪和视频索引系统等人脸应用系统的性能。为了克服这个问题,我们的眼睛检测方法包括三个步骤。在预处理中,我们对人脸图像应用自商图像(SQI)来降低光照效应。然后,采用计算简单、速度快的梯度下降法提取候选眼。最后,使用AdaBoost算法训练的分类器从所有候选眼睛中选择眼睛。实验结果表明了该方法的有效性
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引用次数: 8
Introduction to a Network Robot System 网络机器人系统概论
Pub Date : 2006-12-01 DOI: 10.1109/ISPACS.2006.364842
T. Akimoto, N. Hagita
We are developing a type of robotics technology called a "network robot system." Such a system can provide robot-based services that are not realized by a single robot but a combination of robots, ubiquitous sensors, PCs, and cellular phones. Using various types of robot technology in a network helps to improve people's understanding of their situation and environment. In this paper, we introduce a network robot system and discuss some examples of the system in which robots directly interact with their users
我们正在开发一种叫做“网络机器人系统”的机器人技术。这样的系统可以提供基于机器人的服务,这些服务不是由单个机器人实现的,而是由机器人、无处不在的传感器、个人电脑和移动电话的组合实现的。在网络中使用各种类型的机器人技术有助于提高人们对其处境和环境的理解。本文介绍了一个网络机器人系统,并讨论了机器人与用户直接交互的系统实例
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引用次数: 20
Automatic Image Annotation based-on Rough Set Theory with Visual Keys 基于粗糙集理论的视觉键图像自动标注
Pub Date : 2006-12-01 DOI: 10.1109/ISPACS.2006.364713
Manabu Serata, Yutaka Hatakeyama, Kaoru Hirota
For automatic image annotation, a method based on rough sets with visual keys is proposed. Using rough set theory the method constructs decision rules about each visual key used for image indexing and about keywords from training set of already annotated images. Then target image is annotated according to constructed decision rules about visual keys which the target image is indexed by. The method is evaluated with training sets of 900 images and with test sets of 100 images on 1,000 manually annotated images in COREL database. Experiments show that recall rates tend to rise easily compared with precision rates on image retrieval with query-by-keywords
针对图像自动标注问题,提出了一种基于粗糙集视觉键的图像自动标注方法。该方法利用粗糙集理论构建了用于图像索引的每个视觉关键字的决策规则,以及来自已标注图像的训练集的关键字的决策规则。然后根据构建的视觉键决策规则对目标图像进行标注。该方法在COREL数据库中使用900个图像的训练集和100个图像的测试集对1,000个手动注释的图像进行了评估。实验表明,与基于关键词的图像检索相比,基于关键词的图像检索的查全率更容易提高
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引用次数: 1
The Practical Example Case of Active RFID 有源RFID的实际应用实例
Pub Date : 2006-12-01 DOI: 10.1109/ISPACS.2006.364843
M. Shimizu, H. Nakada
RFIDs are an interesting approach to accessing anything through the network. The most commonly mentioned variant is the passive RFID, but it has several serious problems. This paper focuses on the "active" RFID to realize "ubiquitous communication". First, the principle of active tags is mentioned, and the problem of readout rate is considered. Several actual applications using active RFIDs are introduced
rfid是一种通过网络访问任何东西的有趣方法。最常提到的变体是无源RFID,但它有几个严重的问题。本文主要研究“有源”RFID,实现“泛在通信”。首先,介绍了主动标签的工作原理,并考虑了主动标签的读出率问题。介绍了使用有源rfid的几个实际应用
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引用次数: 2
Effects of Impulse Noise at Filter Input on Performance of Adaptive Filters Using the LMS and Signed Regressor LMS Algorithms 滤波器输入脉冲噪声对LMS和符号回归LMS算法自适应滤波器性能的影响
Pub Date : 2006-12-01 DOI: 10.1109/ISPACS.2006.364773
Shin'ichi Koike
This paper presents an adaptive filtering system where impulse noise is present at filter input. To study adverse, or favorable, effects of such impulse noise on adaptive filter performance, we develop transient and steady-state analysis of adaptive filters using the LMS algorithm (LMSA) and signed regressor LMS algorithm (SRA). Through analysis and experiment, we find that the SRA exhibits significantly higher robustness against the impulse noise than the LMSA. For the SRA, we find that mean square tap weight misalignment (MSTWM) decreases as the impulse noise variance increases, attaining a minimum before the filter diverges.
提出了一种滤波器输入端存在脉冲噪声的自适应滤波系统。为了研究这些脉冲噪声对自适应滤波器性能的不利或有利影响,我们使用LMS算法(LMSA)和符号回归LMS算法(SRA)开发了自适应滤波器的瞬态和稳态分析。通过分析和实验,我们发现SRA对脉冲噪声的鲁棒性明显高于LMSA。对于SRA,我们发现随着脉冲噪声方差的增加,平均方抽头权重偏差(MSTWM)减小,在滤波器发散之前达到最小值。
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引用次数: 4
Research on the Algorithm of Object Recognition of Ship noise Based on Auditory Feature and Pattern-matching 基于听觉特征和模式匹配的船舶噪声目标识别算法研究
Pub Date : 2006-12-01 DOI: 10.1109/ISPACS.2006.364887
Pan Xiuqin, Li Xiali, Lu Yong, Cao Yongcun, Zhao Yue
In this paper, an object recognition algorithm of ship noise is presented combined a new kind of information processing technology with pattern matching. The procedure of processing acoustic signal of human being's hearing is imitated to extract the auditory correlation spectrum (ARS) as feature in the algorithm. Then, a novel feature named as summation of auditory correlation spectrum (SARS) is defined. Consequently the simulation on the presented algorithm and that based on power spectrum and based on neural network is carried out. The results illustrate that the given algorithm is effective and efficient
本文将一种新的信息处理技术与模式匹配相结合,提出了一种船舶噪声目标识别算法。该算法模拟人类听觉信号的处理过程,提取听觉相关谱(ARS)作为特征。然后,定义了听觉相关谱求和(SARS)特征。最后对该算法、基于功率谱的算法和基于神经网络的算法进行了仿真。结果表明,该算法是有效的
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引用次数: 0
A Proposal of Echo Canceller using Blind Signal Separation method 一种基于盲信号分离的回波消除方法
Pub Date : 2006-12-01 DOI: 10.1109/ISPACS.2006.364698
Hiroki Matsumoto, T. Kashihara, Toshihiro Furukawat
In a teleconference system, a cause of deterioration for sound quality is echo signals. A convectional echo canceller had to stop updating parameters during the double talk. So, the reliability of transmitted signals deteriorate during the double talk. Therefore, blind signal separation (BSS) method is the method that is suitable for echo cancellers, because the method doesn't need to stop updating parameters during double talk. However, it is difficult to directly apply, because BSS method has two faults. So we solve these faults by using system structure of the echo canceller. As the result, we can apply BSS method to echo canceller. And, it has a higher reliability of transmitted signals
在电话会议系统中,导致音质恶化的一个原因是回波信号。对流回波消除器必须在双通期间停止更新参数。因此,在双重通话中,传输信号的可靠性下降。因此,盲信号分离(BSS)方法是适用于回波消除器的方法,因为该方法不需要在双通时停止更新参数。然而,由于BSS方法存在两个缺陷,因此很难直接应用。因此,我们利用回波消除器的系统结构来解决这些问题。结果表明,可以将BSS方法应用于回波消除。并且,它具有更高的传输信号可靠性
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引用次数: 0
期刊
2006 International Symposium on Intelligent Signal Processing and Communications
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