嵌入式太阳能闸门控制设备软件设计

为解决地处偏僻且无交流电供电的中小型闸门自动控制的问题,设计一种基于NXP MK60DN512处理器适用于太阳能供电的闸门控制设备。对嵌入式太阳能闸门自动控制系统的总体架构,控制设备的硬件组成、选型、主控芯片的选择、软件功能设计,软件工作流程,各主要软件模块的实现方法,软件控制降低闸门控制设备的运行功耗,提高监控图片的传输效率等方面进行研究,并在不同灌区进行应用试验,结果表明:嵌入式太阳能闸门自动控制系统运行稳定,测量精度高,既满足远程控制的需要,又适应现场控制的要求,可为远程安全精准控制闸门提供保障。     

基于改进型遗传算法的门阵列模式布局

门阵列模式布局是一类 NP完全问题 .本文将一种改进型遗传算法用于门阵列模式布局 ,提出了相应的数学模型 ,并在布局目标函数中引入了通道拥挤度的概念 ,使布局的构形更趋合理 .实验表明 ,应用所提出的模型及算法能在较短的时间内提供优化解 ,避免了一般优化算法的局部最优问题和维数灾难问题 ,为门阵列模式布局开创了一条新的路径     

遗传布局算法

VLSI门阵列模式布局是一类NP完全问题，传统的分析、研究方法和求解策略不能提供优化布局。文中将遗传算法应用于门阵列模式布局，提出了遗传布局算法，设计了相应的选择函数、交叉算子和变异算子，使布局的构形更趋合理。模拟结果表明，应用遗传布局算法能在较短的时间内提供优化解，为解决大规模、复杂的布局问题提供了广阔的前景。     

The Design and Implementation of a Cooperative Design-view Environment for Interactive Partitioning Applications

This paper presents a cooperative design-view environment for interactive partitioning applications. This environment provides the user with a comprehensive viewing facility that describes the potentially complex relationships between various design objects. Using this environment, the user is able to evaluate and analyse design results visually throughout the entire partitioning process. We have developed a graphical user interface (GUI) environment for the InterPar system which supports mixed automatic and manual partitioning for multiple-field programmable gate array (FPGA) designs. The preliminary experiments have shown that the use of InterPar may lead to a new direction for the exploration of new partitioning approaches based on the circuit-structure analysis.     

Frequency symbol spreading based adaptive subcarrier block selection for OFDMA system

In a wireless network, the signals transmitted from one sender to different users have independent channel fluctuation characteristics. The diversity that exists between users is called multiuser diversity and can be exploited by the sender to enhance the capacity of wireless network. In multiuser diversity OFDMA system, exploiting channel fluctuation diversity is in essence done by selecting the user with the strong subcarrier channels. The individual subcarrier selection for each user can achieve the best system performance but high signaling overhead and high system complexity are required. On the other hand, the adaptive subcarrier block method achieves worse BER than that of individual subcarrier selection. This is because the selected block contains the poor channel subcarriers. To overcome this problem, in this paper, we propose an adaptive subcarrier block selection with frequency symbol spreading for an OFDMA system.     

Semiautomatic segmentation with compact shape prior

In recent years, interactive methods for segmentation are increasing in popularity due to their success in different domains such as medical image processing, photo editing, etc. We present an interactive segmentation algorithm that can segment an object of interest from its background with minimum guidance from the user, who just has to select a single seed pixel inside the object of interest. Due to minimal requirements from the user, we call our algorithm semiautomatic. To obtain a reliable and robust segmentation with such low user guidance, we have to make several assumptions. Our main assumption is that the object to be segmented is of compact shape, or can be approximated by several connected roughly collinear compact pieces. We base our work on the powerful graph cut segmentation algorithm of Boykov and Jolly, which allows straightforward incorporation of the compact shape constraint. In order to make the graph cut approach suitable for our semiautomatic framework, we address several well-known issues of graph cut segmentation technique. In particular, we counteract the bias towards shorter segmentation boundaries and develop a method for automatic selection of parameters. We demonstrate the effectiveness of our approach on the challenging industrial application of transistor gate segmentation in images of integrated chips. Our approach produces highly accurate results in real-time.     

Optimizing target selection complexity of a recommendation system by skyline query and multi-criteria decision analysis

Various factors related to user consideration cause a target selection problem that may lead users to receive unexpected or confusing results. Traditionally, the recommendation system is constructed to help the user filter out unrelated targets and recommend targets that may be of interest to the user. However, the complexity of target selection requires a more advanced decision-making analysis to offer support. Determining how to optimize the target selection complexity of a recommendation system has become a critical challenge. This study proposes a novel approach using skyline query and multi-criteria decision analysis to recommend Top-k targets for user selection. Skyline query domination reduces the complexity of target selection by filtering out non-dominant candidates and keeping the dominant candidates for multi-criteria decision analysis. After the skyline query processing, the multi-criteria decision analysis is optimized, producing a Top-k ranking order of the candidate targets. The experiment illustrates an empirical case study to verify the effectiveness of the proposed approach. The contribution is optimizing the target selecting complexity of the recommendation system to solve the target selection problem.

     

基于DSP+FPGA结构图像处理系统设计与实现

为了实现视频图像的实时处理，采用基于DSP FPGA的线性流水阵列结构，用现场可编程门阵列FPGA对采集的视频数字图像做预处理，并结合大规模可编程逻辑阵列CPLD进行逻辑控制，实现了视频图像的采集和目标提取的视频数字图像处理系统。介绍了该视频图像处理系统的硬件组成、工作原理和各种视频跟踪算法的应用。该系统与计算机联结，配以适当的图像处理软件和开发系统，即可形成一个通用的实时图像处理平台。     

基于遗传算法的布局问题求解

布局问题是VLSI布图设计中的重要问题,传统的方法很难得到满意的解答。针对该问题,文中提出了一个基于遗传算法的求解方法,并将它应用到VLSI门阵列模式布局设计中,构造了一个较完备的综合布局目标函数,引入并定义了通道拥挤度。实验结果表明,所提出的方法能在较短的时间内提供优化解,为VLSI布局设计提供了一种新的思路。     

高速雷达数据采集系统的FPGA设计

高速雷达数据采集系统的设计方法。该系统由FPGA芯片完成各芯片之间的逻辑控制,具有设计灵活、结构简单、实时性高、可靠性高等优点。     

遗传布局中的交叉算子

针对遗传算法解决门阵列模式的布局问题时,传统的遗传交叉算子操作后出现了不可行的布局方案,因而寻找了3个新的交叉算子来避免产生这种冲突,通过实例对这3个算子的优越性进行了比较。     

一种基于码本聚类的低复杂度用户选择算法

现有块对角化(BD)预编码系统用户选择算法较少考虑利用已选用户与剩余用户之间的关系来排除不可选用户.针对这点不足,给出了一种采用码本聚类的低复杂度用户选择算法( CodeGreedy算法).该算法采用弦距离刻画用户信道的相关性,以此为依据将用户划分到不同码本空间中,聚集在同一码本空间的用户信道具有较强的相关性,形成互斥...     

A constraint-based dynamic geometry system

Dynamic geometry systems are tools for geometric visualization. They allow the user to define geometric elements, establish relationships between them and explore the dynamic behavior of the remaining geometric elements when one of them is moved. The main problem in dynamic geometry systems is the ambiguity that arises from operations that lead to more than one possible solution. Most dynamic geometry systems deal with this problem in such a way that the solution selection method leads to a fixed dynamic behavior of the system. This is specially annoying when the behavior observed is not the one the user intended.In this work we propose a modular architecture for dynamic geometry systems built upon a set of functional units which will allow us to apply some well-known results from the Geometric Constraint Solving field. A functional unit called filter will provide the user with tools to unambiguously capture the expected dynamic behavior of a given geometric problem.     

A MIH-based approach for best network selection in heterogeneous wireless networks

In the next generation wireless networks, different technologies belonging to one or more operators should be integrated to form a heterogeneous environment based on an IP core network infrastructure. This ensures user mobility and service continuity by maintaining connections when switching between various technologies and it introduces new resources and possibilities for applications. In this context, an automatic interface selection based on instantaneous and practical constraints and user preferences (Quality of Service (QoS) parameters, available resources, security, power consumption, etc.) is therefore required. The different network selection and handover schemes proposed in the literature can be classified into three approaches according to who is responsible for making the handover decision: the terminal, the network or by a cooperation between both of them. However, these approaches keep presenting some drawbacks; namely the problem of resources management and network load balancing whenever the selection is controlled by the mobile terminal (MT) and the problem of scalability and unknown operator's management policy whenever the selection is rather controlled by the network.In this article, first we propose a MIH based approach for handover initiation and preparation for heterogeneous wireless network. The proposed framework is based on the principals of IEEE 802.21 for context information gathering and optimized handover decision making. Second, we propose a new architecture and new network selection scheme that explicitly take into account the current resource usage and the user preferences. Furthermore, our solution ensures the selection of the most suitable network for each flow while taking into consideration its expectations in terms of QoS. A feasibility study of implementing a new architecture on a single MT is evaluated by using typical scenarios and using various algorithms. Thanks to the introduced function entities and modules in the proposed architecture, network utilization balancing and user and application expectations, which are successfully assured without operator intervention. Performance analysis shows that the proposed algorithm best meets the common quality requirements.     

基于VSM的自适应信息过滤系统的研究与设计

为了从网络动态信息流中获得感兴趣的内容或过滤掉无关的垃圾信息,设计了一个基于向量空间模型的自适应信息过滤系统;描述了该系统的结构和工作流程;对该系统实现的关键技术,包括文本表示、用户模板与过滤阈值初始化、特征项选取、自适应过滤算法、模板更新和阈值调整等进行了深入的分析和研究。     

基于Maze的混合型超级节点架构设计和实现

针对天网Maze(一个P2P网络文件系统)[1]单点中央服务器负载瓶颈的问题,通过对网络和系统真实数据的量化分析,确立可优化的网络拓扑参数;采用日志统计分析的方法,归纳出用户的行为特征,节点特性,采用K-均值类聚方法建立了用户超级节点选举算法模型.综合考虑前面两个分析结论,提出了服务器超级节点配合用户超级节点的混合型超级节点架构设计.最后描述了架构实现中关键流程和模块,并采集新构架数据进行简单评测,达到了预期的改进效果.     

Neural network‐based multi‐agent approach for scheduling in distributed systems

A distributed system consists of a collection of autonomous heterogeneous resources that provide resource sharing and a common platform for running parallel compute‐intensive applications. The different application characteristics combined with the heterogeneity and performance variations of the distributed system make it difficult to find the optimal set of needed resources. When deployed, user applications are usually handled by application domain experts or system administrators who depending on the infrastructure provide a scheduling strategy for selecting the best candidate resource over a set of available resources. However, the provided strategy is usually generic, aimed at handling a wide array of applications and does not take into consideration specific application resource requirements. As such, an intelligent method for selecting the best resources based on expert knowledge is needed. In this paper, we propose a neural network‐based multi‐agent resource selection technique capable of mimicking the services of an expert user. In addition, to cope with the geographical distribution of the underlying system, we employ a multi‐agent coordination mechanism. The proposed neural network‐based scheduling framework combined with the multi‐agent intelligence is a unique approach to efficiently deal with the resource selection problem. Results run on a simulated environment show the efficiency of our proposed method. Several scheduling simulations were conducted to compare the performance of some conventional resource selection methods against the proposed agent‐based neural network technique. The results obtained indicate that the agent‐based approach outperformed the classical algorithms by reducing the amount of time required to search for suitable resources irrespective of the resource size. Copyright © 2016 John Wiley & Sons, Ltd.     

An Assumption-based Truth Maintenance System in Active Aid for UNIX Users

This paper deals with the problem of assigning meaning to the interaction of a user with a command-driven system such as UNIX. This research is part of the construction of an active intelligent help system that monitors users in order to offer spontaneous help when they are facing problems. In order to ensure this, the help system must build and maintain a model of the user. We describe a mechanism that is used by the user modelling component of such a help system. This mechanism makes explicit assumptions about the user which account for different hypotheses about what the user is actually thinking at every stage of the interaction. The consistency of these assumptions is managed by an Assumption-based Truth Maintenance System (ATMS). The selection between a number of different user models is based on the information which is extracted from the feedback that UNIX provides in response to user actions. This revised version was published online in August 2006 with corrections to the Cover Date.     

多用户MIMO系统用户选择算法

MIMO系统在不增加带宽的情况下可以有效提高频谱效率。但由于多用户MIMO系统现存预编码方法和系统天线数目的限制,使得系统容纳用户数为一限定值,无法满足实际需要。针对这一问题,给出一种等功率分配的用户选择算法,其通过对信道容量等效近似来得到较优的用户组。为了降低用户选择复杂度,给出一种迭代的次优用户选择算法,达到快速选取较优用户的目的。仿真结果表明所提算法可以获得较好的系统容量性能,适用于实际通信系统。     

Attribute based specification,comparison and selection of electroplating system using MADM approach

The problem of electroplating selection has been of concern to users for many years. The selection process is becoming more and more difficult due to the availability of large variety of electroplating configurations and manufacturing plants/products. The methods proposed so far consider only physical parameters (thickness, hardness, adhesion, etc.). In order to have precise information about the selection process, the performance of electroplating plays a vital role.The objective of this paper is to propose a methodology by which selection of electroplating product/plant can be made easy. This selection procedure will help the user to select the system most suited for his operational needs. Moreover, the paper discusses how the electroplating suppliers, designers and maintenance personnel will also be benefited.The identification and codification of attributes based on n-digit alpha numeric code is presented here. The 3 stage selection procedure allows rapid convergence from a very large number of options to manageable shortlist of potentially suitable electroplating option using ‘elimination search’ based on a few pertinent attributes. Then the selection procedure ranks them by employing a multiple attributes decision making (MADM) method using the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) approach. It helps the decision maker(s) to organize the problem to be solved, and carry out analysis, comparisons and ranking of the alternatives. Magnitudes of different attributes are used to generate parameters of the hypothetical ideal electroplating, with all the candidate electroplating compared and ranked. This ranking gives the best available electroplating for particular application. The methodology is presented with the help of illustrated example of gold plating, which shows that it can benefit the designers, users or manufacturers.