传统机顶盒节能改进及遥控一体化方案研究

提出了一种传统机顶盒节能改进及遥控一体化设计方案。在不改变机顶盒内部电路原有布局的情况下,通过增加由继电器、单片机最小系统及红外发射等模块组成的控制系统,使机顶盒待机功耗从改进前的5.07 W下降到0.76 W,节能近90%。此外,根据遥控器常用操作功能提出了一种实用型遥控一体化方案,既避免了两个遥控器来回切换的烦恼,提升了用户体验,又克服了目前市场上遥控一体化改进方案复杂及成本高等不足。     

A research on problems of mixed-line production and the re-scheduling

This paper is to establish and solve the re-scheduling problems under a flow-shop mixed-line production planning. A case study of the final stage, module manufacturing, of TFT-LCD is provided for illustration of the developed mechanism. In this research, the mixed-line production system and its rescheduling problems are discussed. The buffer management and the DBR scheduling methods based on the Theory of Constraints are used to detect, identify, and level the bottleneck problems in the system. The direct contribution of the results is to increase the production flexibility and mobility of the manufacturing scheduling system and to benefit the entire members of supply chain system. The simulation software, Flexsim, is used to construct and evaluate the developed model, some phenomena of simulated system performance on the maximum delay of orders, the total cost of delay, and make span are discussed.     

Text feature selection for sentiment classification of Chinese online reviews

In order to meet the requirement of customised services for online communities, sentiment classification of online reviews has been applied to study the unstructured reviews so as to identify users’ opinions on certain products. The purpose of this article is to select features for sentiment classification of Chinese online reviews with techniques well performed in traditional text classification. First, adjectives, adverbs and verbs are identified as the potential text features containing sentiment information. Then, four statistical feature selection methods, such as document frequency (DF), information gain (IG), chi-squared statistic (CHI) and mutual information (MI), are adopted to select features. After that, the Boolean weighting method is applied to set feature weights and construct a vector space model. Finally, a support vector machine (SVM) classifier is employed to predict the sentiment polarity of online reviews. Comparative experiments are conducted based on hotel online reviews in Chinese. The results indicate that the highest accuracy of the sentiment classification of Chinese online reviews is achieved by taking adjectives, adverbs and verbs together as the feature. Besides that, different feature selection methods make distinct performances on sentiment classification, as DF performs the best, CHI follows and IG ranks the last, whereas MI is not suitable for sentiment classification of Chinese online reviews. This conclusion will be helpful to improve the accuracy of sentiment classification and be useful for further research.     

僵尸网络仿真系统设计与实现

近年来,随着僵尸网络的发展,它所带来的安全威胁越来越严重,因此成为了国内外的研究重点。僵尸网络仿真是深入开展僵尸网络研究的基础,也是当前研究的热点。提出一种基于测试床的僵尸网络仿真方案。该方案利用可扩展语言对仿真场景进行定制描述,以此为基础,仿真系统通过仿真场景的封装、仿真场景的自动化配置、数据的采集与展示等关键技术和模块,实现了仿真场景可定制、仿真环境可自动部署、仿真过程可控制等仿真实验功能。最后,通过典型场景的仿真实验验证了该系统的有效性,并对仿真环境自动部署等功能的效率进行了评估。     

Retrieval of daily evolution of soil moisture from satellite-derived land surface temperature and net surface shortwave radiation

Soil moisture is a key parameter in water balance, and it serves as the core and link in atmosphere–vegetation–soil–groundwater systems. Soil moisture directly affects the accuracy of the simulation and prediction conducted by hydrological and atmospheric models. This article aims to develop a new model to retrieve the daily evolution of soil moisture with time series of land surface temperature (LST) and net surface shortwave radiation (NSSR). First, for the time series of soil moisture, LST and NSSR daytime data were simulated by the common land model (CoLM) with different soil types in bare soil areas. Based on these data, the variations between soil moisture and LST-NSSR during the daytime with different soil types were analysed, and a plane function was used to fit the daily evolution of soil moisture and the time series of LST and NSSR data. Further study proved that the coefficients of the soil moisture retrieval model are not sensitive to soil type. Then, a relationship model between the daily evolution of soil moisture and the time series of LST-NSSR was developed and validated using the data simulated by CoLM with different soil types and different atmospheric conditions. To demonstrate the feasibility of the soil moisture retrieval method proposed in this study, it was applied to the African continent with data from the METEOSAT Second Generation Spinning Enhanced Visible and Infrared Imager (MSG–SEVIRI) geostationary satellite. The results show that the variation of soil moisture content can be quantitatively estimated directly by the method at the regional scale with some reasonable assumptions. This study can provide a new method for monitoring the variation of soil moisture, and it also indicates a new direction for deriving the daily variation of soil moisture using the information from the time series of the land surface variables.     

Synthesis and characterization of La doped M-type hexagonal barium ferrite fine powders

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Detecting academic experts by topic-sensitive link analysis

The problem of academic expert finding is concerned with finding the experts on a named research field. It has many real-world applications and has recently attracted much attention. However, the existing methods are not versatile and suitable for the special needs from academic areas where the co-authorship and the citation relation play important roles in judging researchers’ achievements. In this paper, we propose and develop a flexible data schema and a topic-sensitive co-pagerank algorithmcombined with a topic model for solving this problem. The main idea is to measure the authors’ authorities by considering topic bias based on their social networks and citation networks, and then, recommending expert candidates for the questions. To infer the association between authors and topics, we draw a probability model from the latent Dirichlet allocation (LDA) model. We further propose several techniques such as reasoning the interested topics of the query and integrating ranking metrics to order the practices. Our experiments show that the proposed strategies are all effective to improve the retrieval accuracy.     

国外典型水利工程建设后上游库区及河道淤积特点分析

以阿斯旺大坝、格伦峡大坝、胡佛大坝、塔贝拉大坝4个世界典型水利工程为例,在淤积量、淤积形态、淤积位置3个方面分析典型水利工程建成后上游库区及河道的淤积过程,并在同一特征指标下对其淤积特点进行横向比较,得出其异同点.     

也门71区块地震资料采集方法

也门71区块地表及地下地质条件异常复杂，激发接收条件差，原始资料信噪比低，静校正问题突出，资料成像困难，尤其是山地资料更是如此。特殊的地震地质条件，给地震采集带来施工和技术上的困难。为此，通过分析工区地震地质条件及以往资料质量等，对71区块地震资料采集方法进行了研究，通过优选观测系统、激发因素，采用混合震源采集、弯直线施工，地震资料品质大幅提高，该项目的成功经验也可为类似条件区的地震勘探提供借鉴。     

Color image processing by using binary quaternion-moment-preservingthresholding technique

This paper presents a new moment-preserving thresholding technique, called the binary quaternion-moment-preserving (BQMP) thresholding, for color image data. Based on representing color data by the quaternions, the statistical parameters of color data can be expressed through the definition of quaternion moments. Analytical formulas of the BQMP thresholding can thus be determined by using the algebra of the quaternions. The computation time for the BQMP thresholding is of order of the data size. By using the BQMP thresholding, quaternion-moment-based operators are designed for the application of color image processing, such as color image compression, multiclass clustering of color data, and subpixel color edge detection. The experimental results show that the proposed operator for color image compression can have output picture quality acceptable to human eyes. In addition, the proposed edge operator can detect the color edge at the subpixel level. Therefore, the proposed BQMP thresholding can be used as a tool for color image processing.