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Study on Dynamic Heat Measurement Method afterStep Change of System's Flux 系统通量阶跃变化后的动态测热方法研究
L. Xiaoting, Fang Lide
The flow and conduction characteristic of fluid in radiator after step change of flux is analyzed. The "level-move" presumption of temperature distribution curve in radiator during transient is put forward. On the basis of the presumption, the function relationship of heat quantity of radiator and time during transient is deduced, and the validity of the function relationship is proved through experimentation. These conclusions offered the valuable reference for the moving characteristic research of the new heating measurement and control system.
分析了通量阶跃变化后散热器内流体的流动和传导特性。提出了瞬态辐射器温度分布曲线的“平移”假设。在此假设的基础上,推导了瞬态辐射器热量与时间的函数关系,并通过实验证明了函数关系的有效性。这些结论为新型加热测控系统的运动特性研究提供了有价值的参考。
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引用次数: 2
Forecasting Model of Holiday Tourism Requirement on the Basis of RBF Neural Network 基于RBF神经网络的度假旅游需求预测模型
Guo Wensheng, Du Junping, Wan Ruijie
For improving intellectualized management level of holiday tourism and making a contribution to the healthy, orderly and safely development of holiday tourism, we built the tourism requirement forecasting model on the basis of RBF neural network, realized the classification, analysed and forecasted the tourism status and realized the intellectualized management of holiday tourism. It was used to generate RBF net to perform function approximation. Random cluster and linear program are brought in to design and train this "mixed" RBF net
为提高假日旅游智能化管理水平,为假日旅游健康、有序、安全发展贡献力量,建立了基于RBF神经网络的旅游需求预测模型,实现了旅游需求分类、旅游状况分析与预测,实现了假日旅游智能化管理。利用该方法生成RBF网络进行函数逼近。引入随机聚类和线性规划来设计和训练这种“混合型”RBF网络
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引用次数: 3
Particle Swarm Algorithm for Tasks Scheduling in Distributed Heterogeneous System 分布式异构系统任务调度的粒子群算法
Pub Date : 2006-10-16 DOI: 10.1109/ISDA.2006.253920
Xiaohong Kong, Jun Sun, Wenbo Xu
A distributed heterogeneous system consists of a suite of processors or machines with different processing capacities. It can be performance-to-cost efficient to meet the diverse computation requirements if properly deployed. Task scheduling is a crucial issue to improve the efficiency of this architecture. In this paper, we incorporate an efficient population-based search technique, particle swarm optimization (PSO), with list scheduling and propose a hybrid PSO algorithm for tasks scheduling. We also compare a few assigning rules to select target machine with different processing speeds for different tasks. The experiment results show that the proposed algorithm outperforms other algorithms in these aspects of performance and scalability
分布式异构系统由一组具有不同处理能力的处理器或机器组成。如果部署得当,它可以满足不同的计算需求,从而达到性能到成本的效率。任务调度是提高该体系结构效率的关键问题。本文将高效的基于种群的搜索技术粒子群优化(PSO)与列表调度相结合,提出了一种用于任务调度的混合粒子群优化算法。我们还比较了几种分配规则,以便为不同的任务选择具有不同处理速度的目标机器。实验结果表明,该算法在性能和可扩展性方面都优于其他算法
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引用次数: 16
Facial Orientation and Eye-Gaze Detection Based on Real-Time 3D Facial Imaging By Using Correlation Image Sensor 基于相关图像传感器的实时三维人脸成像的人脸方向和视线检测
Pub Date : 2006-10-16 DOI: 10.1109/ISDA.2006.253758
Shu Zhan, T. Kurihara, S. Ando
3D facial orientation and eye-gaze detection is one hot area in human-machine interaction and application, it is also a challenging field in computer vision, pattern recognition and image sensing. We designed a real-time 3D facial orientation and eye-gaze detection system based on 3D real-time facial imaging system by using three-phase correlation image sensor. Based on the normal vector map and intensity image obtained by our imaging system simultaneously, the differential geometry theory is employed to find the key points of face image, according to these key points and curvature feature of face, the important eye area could be segmented from the face image. The optical flow algorithm originally presented by Bruce D. Lucas and Takeo Kanade is implemented to get the detection result. The experiments show that the performance for our test is satisfying
三维人脸定位与人眼注视检测是人机交互与应用的一个热点领域,也是计算机视觉、模式识别和图像感知领域的一个具有挑战性的领域。在三维实时人脸成像系统的基础上,利用三相相关图像传感器设计了一种实时三维人脸方位与视线检测系统。基于成像系统同时获得的法向量图和强度图像,利用微分几何理论找到人脸图像的关键点,根据关键点和人脸的曲率特征,从人脸图像中分割出重要的眼睛区域。实现了Bruce D. Lucas和Takeo Kanade最初提出的光流算法来获得检测结果。实验表明,我们的测试结果令人满意
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引用次数: 1
Efficient Multiplier over Finite Field Represented in Type II Optimal Normal Basis 一类最优正态基表示的有限域上的有效乘子
Youbo Wang, Zhiguang Tian, Xinyan Bi, Zhendong Niu
Elliptic curve cryptography plays a crucial role in networking and information security area, and modular multiplication arithmetic over finite field is a necessary computation part. In this paper, an efficient tradeoff multiplier implementation between full parallel and full serial multiplier is proposed based on optimal normal basis of type II and shifted canonical basis. Experiments show that the multiplier is suitable to realize in FPGA device
椭圆曲线密码学在网络和信息安全领域起着至关重要的作用,有限域上的模乘法算法是其必要的计算部分。本文提出了一种基于二类最优正态基和移位正则基的全并行乘法器与全串行乘法器的高效权衡乘法器实现方法。实验表明,该乘法器适合在FPGA器件上实现
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引用次数: 3
Automatic Recognition Algorithm of Quick Response Code Based on Embedded System 基于嵌入式系统的快速响应代码自动识别算法
Pub Date : 2006-10-16 DOI: 10.1109/ISDA.2006.253712
Yue Liu, Mingjun Liu
The automatic recognition algorithm of quick response code is discussed in this paper. An image processing system based on embedded system is described to be able to binarization, location, segment, and decoding the QR code. In order to adapting various sizes, various gray-level values, and under various lighting conditions of real bar code image, a high-speed, high-accuracy binarization method is developed, which can locate the finder pattern accurately and integrate the local thresholding method with global thresholding. Experiments have shown that over 99% barcode can be optimally recognized with the proposed algorithm. It can achieve higher recognition rate of high density bar code, and is applicable to real world scene image
本文讨论了快速响应码的自动识别算法。描述了一种基于嵌入式系统的图像处理系统,该系统能够对QR码进行二值化、定位、分割和解码。为了适应真实条码图像的不同尺寸、不同灰度值和不同光照条件,开发了一种高速、高精度的二值化方法,该方法能够准确定位发现图案,并将局部阈值法与全局阈值法相结合。实验结果表明,该算法可对99%以上的条形码进行最优识别。它可以实现较高的高密度条码识别率,适用于真实世界的场景图像
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引用次数: 44
POCS Super-Resolution Sequence Image Reconstruction Based on Improvement Approach of Keren Registration Method 基于Keren配准改进方法的POCS超分辨率序列图像重建
Pub Date : 2006-10-16 DOI: 10.1109/ISDA.2006.253857
Chong Fan, Jianjun Zhu, J. Gong, Cuilin Kuang
This paper introduces the keren sub-pixel registration method and point out its disadvantage. Moreover, this paper put forward a new improvement approach about keren method and its iterative method. The improvement approach takes the four parameters affine transformation model instead of the rigid body transformation model. This change avoids the error that is brought on by the tailor series expansion of angle and improves the precise of image registration greatly. The experiment shows that the improvement approach makes less absolute error of angle than keren method and its iterative algorithm. The improvement approach makes the absolute error of translation parameters under 0.1 pixels in the case of the rotation angel of 15 degree and under 0.01 pixels in the case of the small rotation angle using our pictures. At last, the projection onto convex set (POCS) method is used to reconstruct high-resolution image from several low-resolution image sequences. As a result, we find that the reconstruction algorithm based on our improvement registration approach has better effect than the reconstruction algorithm based on keren iterative registration method
介绍了keren亚像素配准方法,指出了其缺点。在此基础上,提出了一种改进keren法及其迭代法的新方法。改进方法采用四参数仿射变换模型代替刚体变换模型。这种改变避免了由于角度的裁剪级数展开带来的误差,大大提高了图像配准的精度。实验表明,改进方法比keren方法及其迭代算法的角度绝对误差小。改进方法使我们的图像在旋转角度为15度的情况下平移参数的绝对误差小于0.1像素,在旋转角度较小的情况下平移参数的绝对误差小于0.01像素。最后,利用凸集投影(POCS)方法从多个低分辨率图像序列中重建高分辨率图像。结果表明,基于改进配准方法的重建算法比基于keren迭代配准方法的重建算法效果更好
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引用次数: 30
Software Project Management Using Decision Networks 使用决策网络的软件项目管理
Pub Date : 2006-10-16 DOI: 10.1109/ISDA.2006.253770
Thitaree Noothong, D. Sutivong
The Bayesian networks support resource allocation in software project and also help in analyzing trade-offs among resources. The model predicts the probability distribution of every variable given incomplete data. Even though the Bayesian networks conveniently facilitate scenario-based analysis, they do not support finding an optimal solution in multi-criteria decision making. This paper proposes extending the Bayesian networks into the decision networks to optimize an organizational target and to handle the multi-criteria environment of software project management. Specifically, the decision networks are used to find an optimal set of software activities under constraints of software cost and quality. The preliminary results demonstrate that the Bayesian networks can be easily extended into the decision networks, which then allow for optimization. The proposed methodology provides a flexible process for utilizing the encoded knowledge within the Bayesian networks to facilitate decision making, which could be applicable in other domains of problems
贝叶斯网络支持软件项目中的资源分配,也有助于分析资源之间的权衡。该模型在给定不完整数据的情况下预测每个变量的概率分布。尽管贝叶斯网络方便地促进了基于场景的分析,但它们不支持在多准则决策中找到最优解。本文提出将贝叶斯网络扩展到决策网络中,以优化组织目标和处理软件项目管理的多准则环境。具体来说,决策网络用于在软件成本和质量约束下寻找最优的软件活动集。初步结果表明,贝叶斯网络可以很容易地扩展到决策网络,从而允许优化。该方法提供了一个灵活的过程,可以利用贝叶斯网络中的编码知识来促进决策,这可以应用于其他问题领域
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引用次数: 5
Soft Sensing Based on LS-SVM and Its Application to a Distillation Column 基于LS-SVM的软测量及其在精馏塔上的应用
Yafen Li, Qi Li, Huijuan Wang, Ning‐Tao Ma
Dry point of aviation kerosene in the atmospheric distillation column is a very important process value for quality controlling. But unfortunately few on-line hardware sensors are available to this value or such sensors are difficult to maintain. This paper adopts a novel method based on least squares support vector machine (LS-SVM) regression to implement on-line estimation of aviation kerosene dry point. Compared to traditional radial basis function (RBF) neural network and squares support vector machine (SVM) regression methods, using the same sample data, the simulation results show that the soft sensing based on LS-SVM regression has better abilities of model generalization and real-time character
航空煤油常压精馏塔干点是一个非常重要的质量控制过程值。但不幸的是,很少有在线硬件传感器可用于此值或此类传感器难以维护。采用一种基于最小二乘支持向量机(LS-SVM)回归的新方法实现航空煤油干点的在线估计。与传统的径向基函数(RBF)神经网络和平方支持向量机(SVM)回归方法相比,在相同的样本数据下,仿真结果表明基于LS-SVM回归的软测量具有更好的模型泛化能力和实时性
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引用次数: 7
A Multi-Agent Based Information Locating Strategy with Rewards Evaluation 基于多智能体的奖励评价信息定位策略
Pub Date : 2006-10-16 DOI: 10.1109/ISDA.2006.253738
Danming Sun, Shuping Yao, Mingqian Sun
As the application of the large scale information network, the mount of the content in the network is increased sharply. This brings the challenge to the technology of searching and monitoring information content. In this article, it is introduced an information locating strategy, which is based on multi-agent and can be distributed and work parallel. The concept of search-degree and search-rewards are introduced for the agents in the overall system can work simultaneously. The object of work is to search the numerous information nodes or Websites at a very fast speed and not needing occupying too much of network resources. At the same time, some most important information can be monitored for content management. The description and algorithm of the multi-agent information searching system structure and the strategy is given in this paper
随着大规模信息网络的应用,网络中的内容量急剧增加。这给信息内容的搜索和监控技术带来了挑战。本文介绍了一种基于多智能体的分布式、并行的信息定位策略。引入了搜索度和搜索奖励的概念,使整个系统中的智能体可以同时工作。工作的目标是以非常快的速度搜索到众多的信息节点或网站,而不需要占用太多的网络资源。与此同时,一些最重要的信息可以是内容管理的监控。多智能体信息搜索系统的描述和算法结构和策略是本文
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Sixth International Conference on Intelligent Systems Design and Applications
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