基于协同交互式遗传算法的复杂产品概念设计

针对复杂产品概念设计中的方案求解问题,建立了基于进化思想的求解过程模型,提出了一种新的基于协同进化算法与交互式遗传算法相结合的复杂产品概念设计方法.针对手机概念设计中功能设计的特点提出了变长度编码和两层编码的混合编码方式.实例表明,该方法对多目标、人机交互的复杂产品概念设计方案求解是有效的.     

RFID together with multi-agent systems to control global value chains

Nowadays, the cooperative intelligent transport systems are part of a largest system. Transportations are modal operations integrated in logistics and, logistics is the main process of the supply chain management. The supply chain strategic management as a simultaneous local and global value chain is a collaborative/cooperative organization of stakeholders, many times in co-opetition, to perform a service to the customers respecting the time, place, price and quality levels. The transportation, like other logistics operations must add value, which is achieved in this case through compression lead times and order fulfillments. The complex supplier's network and the distribution channels must be efficient and the integral visibility (monitoring and tracing) of supply chain is a significant source of competitive advantage. Nowadays, the competition is not discussed between companies but among supply chains. This paper aims to evidence the current and emerging manufacturing and logistics system challenges as a new field of opportunities for the automation and control systems research community. Furthermore, the paper forecasts the use of radio frequency identification (RFID) technologies integrated into an information and communication technologies (ICT) framework based on distributed artificial intelligence (DAI) supported by a multi-agent system (MAS), as the most value advantage of supply chain management (SCM) in a cooperative intelligent logistics systems. Logistical platforms (production or distribution) as nodes of added value of supplying and distribution networks are proposed as critical points of the visibility of the inventory, where these technological needs are more evident.     

Railway station route searching based on ACA

In the railway station signal system, the route searching algorithm is an important software module to realize the function safety of this system. In the paper, the ant colony algorithm is applied to the railway station route searching. Take the specific station route-the Wangzhai Station route for example to search the shortest route. The ideas of the Wangzhai Station route searching are put forward based on the ant colony algorithm. The implementation steps of it are presented. The control flow of it is proposed. The program is developed, the interface is worked out, and the route controlling is realized to demonstrate its good performance.     

海防视频监控系统中运动目标跟踪的设计与实现

针对海防视频监控系统中运动目标跟踪的问题,本文提出了利用上位机软件进行目标跟踪的设计与实现方案。文章首先介绍了海防视频监控系统的总体组成及工作流程;然后阐述了相关跟踪算法与金字塔分层搜索算法的实现,以及利用序贯相似检测算法与金字塔算法相结合的目标检测方法;最后描述了用目标偏移量对云台进行控制实现自动跟踪
踪的过程。通过在实际海防视频监控系统中的应用,对运动目标跟踪实现方案的有效性、实时性等特性进行了验证。     

The LookingGlass distributed shared workspace

This paper describes a shared workspace system known as the LookingGlass. The system allows pairs of geographically distributed designers to work together in real-time via a computer-based shared drawing surface, a video link and an audio link. The system integrates many of the features found in previous shared drawing surface systems and additionally provides eye-to-eye contact between the users; awareness of onea's partner's direction of gaze in relation to oneself and the worksurface; and the ability to communicate using gestures in relation to the worksurface.These features are achieved in the LookingGlass system using a technique referred to as video-overlay which combines a full screen video image of a remote partner with a full screen shared drawing surface. Various configurations of video-overlay have been explored and the results of these studies are presented. The results of trials into the suitability of the LookingGlass for various types of design work are also presented and described.     

寻找电气故障行之有效的方法—“两分法”和“多分法”

本文介绍了“两分法”和“多分法”寻找电气故障的全部过程,掌握规律,集中目标,安全、排除故障,提出了设备的运转率。     

Web Page Recommendation Using Distributional Recurrent Neural Network

In the data retrieval process of the Data recommendation system, the matching prediction and similarity identification take place a major role in the ontology. In that, there are several methods to improve the retrieving process with improved accuracy and to reduce the searching time. Since, in the data recommendation system, this type of data searching becomes complex to search for the best matching for given query data and fails in the accuracy of the query recommendation process. To improve the performance of data validation, this paper proposed a novel model of data similarity estimation and clustering method to retrieve the relevant data with the best matching in the big data processing. In this paper advanced model of the Logarithmic Directionality Texture Pattern (LDTP) method with a Metaheuristic Pattern Searching (MPS) system was used to estimate the similarity between the query data in the entire database. The overall work was implemented for the application of the data recommendation process. These are all indexed and grouped as a cluster to form a paged format of database structure which can reduce the computation time while at the searching period. Also, with the help of a neural network, the relevancies of feature attributes in the database are predicted, and the matching index was sorted to provide the recommended data for given query data. This was achieved by using the Distributional Recurrent Neural Network (DRNN). This is an enhanced model of Neural Network technology to find the relevancy based on the correlation factor of the feature set. The training process of the DRNN classifier was carried out by estimating the correlation factor of the attributes of the dataset. These are formed as clusters and paged with proper indexing based on the MPS parameter of similarity metric. The overall performance of the proposed work can be evaluated by varying the size of the training database by 60%, 70%, and 80%. The parameters that are considered for performance analysis are Precision, Recall, F1-score and the accuracy of data retrieval, the query recommendation output, and comparison with other state-of-art methods.     

无线多中继系统中判决门限辅助的快速Z转发协作

针对Z向转发(ZF)协作所有中继节点均参与协作转发导致的能耗利用不合理问题, 该文提出了一种适用于多中继场景下的门限辅助判决快速Z转发(DT-FZF)协作.当中继节点处接收信号对数似然比(LLR)的绝对值小于门限时,中继节点不参与协作转发;否则中继节点协作转发经截断后的对数似然比(LLR).放大转发(AF)、译码转发(DF)、分段转发(PF)和ZF协作可看作DT-FZF协作的特殊情况.在三中继系统,误比特率(BER)为10–3时,相比ZF协作,所提协作可获得约0.8 dB的性能增益.     

The use of mindmapping software for patent search and management

Modern information technologies and in particular the internet have revolutionized the patent information professionals' work in terms of speed of access and information comprehensiveness from both company internal and external digital sources. Here, I describe how the digital mindmapping technique can be used to complement existing intellectual property management software solutions to meet the challenge of optimizing and managing patent search workflows as well as to rapidly organise and access highly dynamic, heterogeneous and scattered patent information sources. Both eye catching and highly memorable and at the same time self-explanatory mindmapping examples are presented. These were designed to include basic and advanced level digital mindmapping features tailored to significantly speed up and maintain a high work quality level of patent search professionals. A special emphasis is put on the great benefit of organising and accessing the plethora of internet-based worldwide online patent registers through mindmapping, both in terms of managing the constantly changing deep links to the actual search options for e.g., legal status information, and keeping track of the offered level of content.     

分数阶Fourier变换域极值搜索的混沌优化算法研究

正如傅里叶变换采用正弦基,单频信号能够在频域形成峰值,分数阶Fourier变换采用线性调频基,线性调频(LFM)信号能够在分数阶Fourier域上实现聚焦,利用此聚焦性通过搜索峰值可实现LFM信号检测和参数估计.通常采用步进式搜索方法,效率低下.为了克服该缺点,通过对分数阶Fourier域优化问题本质的研究,将混沌优化算法引入到分数阶Fourier域极值搜索中.仿真结果表明:本文的方法优于传统的步进式搜索法.