RFID防碰撞算法研究

RFID射频识别技术由于其技术简单,应用方便,当前在仓储,物流,图书管理,药品管理等各方面都广泛应用.但实际应用中,很多情况是在射频场中存在一个阅读器和多个电子标签.当阅读器同时清点多个电子标签时,就会出现信道争用.现有的解决方案是ALOHA和Binary Tree方法.以及在这两种方法基础上改进的方法.但现有的方法清点效率较低,因此在现有的碰撞方法基础上,提出一种结合ALOHA和Binary Tree方法的新的防碰撞方案,旨在进一步提高RFID应用的多标签清点效率.     

一种新结构的DM-multipath与动态负载平衡

对于存储设备,Linux 在多路径 I/O方面主要有两种类型的解决方案：位于I/O调度器之上的顶层方案(BIO映射器)和位于底层的子系统具体方案(如IDE,SCSI)。因为实施它们的所在存储堆栈中的位置不同,每种方案各有优势。通过与第一种方案比较,介绍具体硬件子系统之上的另一种解决方案,新结构中重点实现移动内核当前多路径层——多路径设备映射器 (dm-multipath)到I/O调度层之下,这种方案能够有效地支持动态的负载平衡。     

基于STC单片机的机场车辆超速报警系统

采用STC89C52单片机结合LM2596-5.0开关电压调节器、DS12C887时钟芯片、AT24C64串行存储器、74HC595移位寄存器以及接触式IC卡等器件,实现了对机场车辆速度的实时显示以及超速后的自行报警,并将超速情况以数据的形式存储到存储器中,可用IC卡对数据进行读取.该系统通过超速报警来提醒司机减速,从而减少车辆刮碰飞机等事件的发生.     

The influence of collaboration styles to children’s cognitive performance in digital problem-solving game “William Adventure”: A comparative case study

Since a large variety of digital games have been used in many fields for educational purposes, their real functions in learning have caught much attention as well. This study first defines learning characteristics of problem-solving digital games and their corresponding cognitive levels, then designs and develops a problem-solving game in accordance to the criteria. Tasks in the game context are inter-related to each other so that players need to critically and creatively think about problem solutions. Learners’ task analyses are performed to observe four elementary learners’ gaming paths, behaviors and cognitive activities, individually and collaboratively. System documentation, video recording, researcher observation, and interviews are conducted to analyze learners’ learning strategies and their cognitive performance during the gaming process.     

从软件角度谈机房的日常维护和管理

随着教学信息化程度的不断提高,如何对计算机机房进行科学、高效的维护和管理,在保障正常的教学和科研任务的同时,减轻机房管理员的负担,是一个重要的课题。文章从软件角度出发,分别对系统的安装和分发、硬盘还原以及四种常见的系统安全设置进行了详细探讨。     

Work fatigue and physiological symptoms in different occupations of high-elevation construction workers

The objective of this study is to investigate whether work fatigue and physiological symptoms that high-elevation construction workers experience would be affected by the occupations. Questionnaires of demographic data and subjective fatigue symptoms as well as some physiological measurements were carried out, pre- and post-shift, on scaffolders, steel fixers, formworkers, electrician-plumbers, concreters and miscellaneous workers at a high-rise building construction site. This study found that some subjective fatigue symptoms coincide with the life style of some workers and that the extent of fatigue symptoms and physiological strains varies among different occupations of construction workers. Scaffolders, steel fixers and formworkers are categorized as physically demanding fatigue type of workers, while concreters, electrician-plumbers and miscellaneous workers as general type. The prevalence and occurrence of subjective fatigue symptoms indicate high-elevation workers have more complaints of “projection of physical impairment” than “drowsiness and dullness” and “difficulty in concentration”. Some unexpected changes (i.e., post-shift measurements are greater than pre-shift ones) in some strength tests in scaffolders and concreters were consistent with the observations of how they exercised their bodies during work shift. Considerable variation of average heart rate among occupations was found, with scaffolders the highest and concreters the lowest. This study concludes that questionnaires of subjective fatigue symptoms and some physiological measurements can be used as indicators to predict the extent of strains or hazards which construction workers encounter. In terms of management program of safety and health, more attention should be paid to those physically demanding workers, such as scaffolders, workers with lower sense of safety and health, such as miscellaneous workers, and workers with older age, such as concreters.     

A novel user identification scheme with key distribution preserving user anonymity for distributed computer networks

Recently, Yang et al. proposed an efficient user identification scheme with key distribution, in which it is possible for the user to anonymously log into a system and establish a secret key shared with the system. Mangipudi and Katti later demonstrated a Deniable-of-Service (DoS) attack on the Yang et al. scheme and then proposed an improvement to withstand such an attack. However, this paper demonstrates an identity disclosure attack to show that neither schemes’ claimed user anonymity requirement can be achieved. We further propose a novel user identification scheme with key distribution preserving user anonymity for distributed computer networks. The proposed scheme not only withstands the attacks mentioned above, but also achieves the following: (i) user anonymity, (ii) key distribution, (iii) mutual authentication, and (iv) key confirmation. The performance of our scheme is of greater efficiency than that of previously proposed schemes in terms of communication costs and computational complexities.     

Estimating the Laplace-Beltrami Operator by Restricting 3D Functions

We present a novel approach for computing and solving the Poisson equation over the surface of a mesh. As in previous approaches, we define the Laplace-Beltrami operator by considering the derivatives of functions defined on the mesh. However, in this work, we explore a choice of functions that is decoupled from the tessellation. Specifically, we use basis functions (second-order tensor-product B-splines) defined over 3D space, and then restrict them to the surface. We show that in addition to being invariant to mesh topology, this definition of the Laplace-Beltrami operator allows a natural multiresolution structure on the function space that is independent of the mesh structure, enabling the use of a simple multigrid implementation for solving the Poisson equation.     

An integrated method for finding key suppliers in SCM

Association rule is a widely used data mining technique that searches through an entire data set for rules revealing the nature and frequency of relationships or associations between data entities. Supplier selection is a significant work in supply chain management. Often, there will be thousands of potential suppliers and identifying a subset of these suppliers can be a complex process of determining a satisfactory subset based on a number of factors. In this paper, the supplier selection can be viewed as the problem of mining a large database of shipment. The proposed method incorporates the extended association rule algorithm of data mining with that of set theory to find key suppliers. This research has employed a numerical example for the integrated method to develop suitable supplier clusters. The results show that the method is effective and applicable.