新型自动控制软件集成系统—FACTORY LINK

简要介绍了ＦＡＣＴＯＲＹ ＬＩＮＫ系统的设计思想，体系结构，开发方式和调试方法。     

BJ—1并行计算机的并行程序设计语言

本文介绍了ＢＪ－１并行计算机系统中并行Ｃ（ＢＰＣ）／并行ＦＯＲＴＲＡＮ（ＢＰＦ７７）语言的设计思想和实现技术。     

BJ－1并行计算机的并行程序设计语言

本文介绍了ＢＪ－１并行计算机系统中并行Ｃ（ＢＰＣ）／并行ＦＯＲＴＲＡＮ（ＢＰＦ７７）语言的设计思想和实现技术．     

基于并行FIFO存储结构的HDTV编码器高速数据收发电路

介绍了一种基于并行ＦＩＦＯ存储结构、应用于ＨＤＴＶ编码器测试信源和码流数据分析的收发电路。它以ＰＣ机ＡＴ总线插卡形式插于ＰＣ机上，通过ＰＣ机控制，完成高速数据的发送和接收。本文对其设计思想、功能、结构、特点以及局限性作了详细介绍。特别是为提高速度、存储规模、降低成本等而采取的一些设计手段作了进一步分析。最后给出实验结果。     

并行处理器与PC／AT总线接口的设计

本文提出了高性能并行处理与标准工业总线接口设计的思想，利用ＦＰＧＡ器件，采用逻辑图输入和硬件描述语言综合设计ＰＣ／ＡＴ总线接口的设计方法和技巧。     

通用图像格式转换软件的设计

本文提出了一种通用图像格式转换软件的设计思想，并给出了一个现在最流行的ＴＩＦＦ、ＢＭＰ、ＰＣＸ三种图像格式文件相互转换的实现实例，如果在自己的应用软件中采取这种设计思想，便能很容易地设计出可处理多种格式图像文件的软件。     

容错计算机技术

一、ＰＣ机容错技术思想简介：ＴｅｘａｓＭｉｃｒｏ公司推出的容错系统体系结构ＦＡＵＬＴＴＯＬＥＲＡＮＴＳＹＳＴＥＭＡＲＣＨＩＴＥＣＴＵＲＥ（ＦＴＳＡ～（ＴＭ））首次在基于ＤＯＳ的ＰＣ机上，全面提供了最大的数据保护性和较高的系统可用性及容错能力。容错能力的实现是针对ＤＯＳ操作系统和工业标准结构（ＩＳＡ）本身固有的薄弱点，在基本输入／输出系统（ＢＩＯＳ）一级上利用综合控制的思想着手解决的。在我们开始讨论容错问题之前，先对“容错”这一术语给予定义。容错是指一个系统在运行中其任何一个子系统发生故障时，系统…     

一种基于FIFO芯片PCI总线插卡的设计方法

ＦＩＦＯ芯片在众多的数据处理领域得到了广泛的应用。它在ＰＣＩ总线插卡设计中的应用,进一步提高了数据的传输速度与效率。基于ＦＩＦＯ芯片实现ＰＣＩ插卡。从硬件上解决了数据高速交换中频繁调用系统中断的问题,对ＰＣＩ接口的应用与推广大有益处。     

通用高速PCI总线目标模块的设计

对通用ＰＣＩ总线接口设计进行了综述,对目前实现ＰＣＩ接口的两种方式 采用可编程器件和专用芯片进行了性能、成本及设计复杂程度的比较。提出了一种采用ＡＭＣＣＳ５９３３和同步双向ＦＩＦＯ实现通用高速ＰＣＩ目标模块的设计方案。     

红外谱图图形文件转换方法

用ＦＴＩＲ光谱仪测出的红外谱图能以文件的形式保存在磁盘上,但这种文件只能被ＦＴＩＲ光谱仪附带的专用软件识别,不能在其它不带此软件的ＰＣ机上直接使用,因此无法编程及对其谱图进行计算和分析。本文以ＢＲＵＫＥＲ公司ＶＥＣＴＯＲ２２型ＦＴＩＲ光谱仪ＯＰＵＳ／ＩＲ图形文件为例进行分析,解析了其文件结构,并自编转换、检索和处理程序,实现了钭ＯＰＵＳ／ＩＲ图形文件输入到任何ＰＣ机中以及对谱图进行管理的目的。     

遗传规划算法在化合物设计、筛选研究中的应用

采用计算机科学中新兴的遗传规划算法思想，结合化学物质的本质特点，运用进化操作来实现化合物的合成设计和筛选。文中针对算法运用讨论了函数集、终止集问题，通过计算元素组成的字符串的化合价的结果来确定适应度函数，既符合化学学科的本质规律，又满足了算法的要求。通过复制、交换和突变操作，经过多代次的进化终止，取得了满意的结果。文章还针对其实用性，从化学本质出发，提出了建议和研究方向。可以说本文是遗传规划在化学化合物合成筛选中运用的成功探索，同时也为进一步研究打下了坚实的基础。     

Prediction of beef eating qualities from colour, marbling and wavelet surface texture features using homogenous carcass treatment

Colour, marbling and surface texture properties of beef longissimus dorsi muscle are used in some countries to grade carcasses according to their expected eating quality. Handheld VIA systems are being used to augment the grader assessments, however attempts have been made to develop higher resolution image systems to give consistent and objective predictions of quality based on these properties. Previous efforts have been unable to model sufficiently the variation in eating quality. A new approach has been applied whereby beef carcasses were subjected to homogenous post-slaughter treatment to minimize variation in eating quality related to other factors such as chilling temperature and hanging method. Furthermore a wider range of features were used to better characterize colour and marbling and the wavelet transform was used to characterize texture. Objective and sensory panel tests were performed to evaluate the beef eating qualities. Classical statistical methods of multilinear regression (MLR) and partial least squares regression (PLSR) were used to develop predictive models. It was possible to explain a greater portion of variation in eating quality than before (up to r²=0.83). Carcasses were classified as high or low quality with a high rate of correct classifications (90%). Genetic algorithms were used to select the model subsets.     

Integration of AHP-TOPSIS method for prioritizing the solutions of reverse logistics adoption to overcome its barriers under fuzzy environment

Reverse logistics practices are gaining attention due to industrial ecology, enforced legislation and corporate citizenship but presence of barriers make reverse logistics (RL) implementation difficult and hence reduce the success rate. To increase RL adoption, robust and flexible strategies are required to overcome its barriers. This study focuses on identification and ranking the solutions of reverse logistics adoption in electronics industry to overcome its barriers. It aids firms to ponder on high rank solutions and develop strategies to implement them on priority. This paper proposes a methodology based on fuzzy analytical hierarchy process (AHP) and fuzzy technique for order performance by similarity to ideal solution (TOPSIS) to identify and rank the solutions of RL adoption to overcome its barriers. Fuzzy AHP is applied to get weights of the barriers as criteria by pairwise comparison and final ranking of the solutions of RL adoption is obtained through fuzzy TOPSIS. The empirical case of Indian electronics industry is shown to illustrate the use of the proposed method. This proposed method offers a more precise, efficient and effective decision support tool for stepwise implementation of the solutions due to consideration of fuzzy environment. Finally sensitivity analysis is performed to illustrate the robustness of the method.     

New trends on e-Procurement applying semantic technologies: Current status and future challenges

The present paper introduces and reviews existing technology and research works in the field of e-Procurement. More specifically this survey aims to collect those relevant approaches that have tackled the challenge of delivering more advanced and intelligent e-Procurement management systems due to its relevance in the industry to afford more timely, adaptable and flexible decisions in purchasing processes. Although existing tools and techniques have demonstrated their ability to manage e-Procurement processes as a part of a supply management system there is a lack of interoperability among tools, tangled dependencies between processes or difficulties to exploit existing data and information to name a few that are preventing a proper use of the new dynamic and data-based environment. On the other hand semantic-based technologies emerge to provide the adequate building blocks to represent domain-knowledge and elevate the meaning of information resources through a common and shared data model (RDF) with a formal query language (SPARQL) and accessible via the Internet Protocols. In this sense the Linked Data effort has gained momentum to apply the principles of the aforementioned initiative to boost the re-use of information and data across different tools and processes. That is why authors review both existing open issues in the context e-Procurement with special focus on public procurement and semantic-based approaches to address them. To do so a preliminary research study is conducted to assess the state of the art in the context of e-Procurement and semantic-based systems. Afterwards main drawbacks of existing e-Procurement systems are presented to narrow down in semantic-based approaches applied to this field. Once the current status in both areas is reviewed, authors purpose the use and creation of an e-Procurement index to evaluate the quality of service of procurement systems. In this light the Analytical Hierarchy Process (AHP) method is used to set up an initial weight for each indicator in the index and to perform a first comparison between traditional and semantic-based approaches. Finally some discussion, conclusions and future challenges are also outlined.     

CRUDi framework proposal: financial industry application

The alignment of information systems with the business goals of an organisation, although a topic of great importance, is not always properly valued or taken into consideration. In general, managers have different opinions to chief information officers (CIOs) in relation to IS, especially with regard to their importance and value to the business and also in terms of investment needs. Here, we discuss and study new approaches to methods and tools for assessing the relative importance of each information system to business, focusing on the financial sector including banks and insurance companies. We suggest the introduction of new key indicators for better decision support and to identify investment priorities, and present results regarding the relative importance of each process to support the business strategy. The primary goal for the inherent research project is to analyse the main problems and difficulties encountered by IS and IT managers, featuring different players and how they relate. The main contributions of this work are the CRUDi framework as a tool to improve alignment between business and IS strategies and the CRUDi survey and its results qualifying the financial sector's opinion regarding the relative importance of processes and investments.     

Habituation effects in computer security warning

Security warning is a form of computer dialog communication used to inform the users on the risks of allowing random applications to run on a computer system. Accordingly, it is specifically designed to impersonate a legitimate security alerting function (e.g., notify, warn, and advice) to a user about the consequence effect of an action. However, most of the computer users tend to ignore those security warnings conveying the same message over and over again. This eventually leads to habituation. Considering the fact that there is a significant lack of focus paid to address this issue, the main objective of this article is to describe and summarize the related studies on users’ habituation to the security warnings. This article presents a systematic literature review to explore the current key issues, challenges, and the possible solutions related to habituation effects in security warnings. It is expected that this article could contribute to a more complete understanding of the habituation effects in security warnings and eventually bring benefits to the research communities or general publics.     

A study into the effects of personality type and methodology on cohesion in software engineering teams

The aim of the research described in this paper is to gain a qualitative understanding of how cohesiveness relates to personality type, performance and adherence to a particular software engineering methodology (XP). A variety of research methods were employed including ethnographic methods, questionnaires and interviews. An online personality test based on the Myers-Briggs Type Indicator (MBTI) was used to ascertain the personality types, and questionnaires were used throughout the project to measure levels of cohesiveness. Examples of how the teams worked together throughout the project are described, and whether and how this relates to the personality types of the individual members. The results indicate that certain teams were found to work consistently well over the project due to homogeneity in personality type and others were found to be very cohesive due to a mixture of types.     

跨模态行人再识别的协同学习方法

跨模态行人再识别是实现全天候智能视频监控系统的一项关键技术。该技术旨在匹配某一特定身份行人在不重叠摄像头场景下的可见光图像和红外图像,因而面临着巨大的类内变化和模态差异。现有方法难以较好地解决这两大困难,很大程度上是由于欠缺了对特征判别能力的有效挖掘和对多源异质信息的充分利用。鉴于以上不足,使用协同学习方法设计了一个精细化多源特征协同网络,提取多种互补性特征进行信息融合,以提升网络的学习能力。从骨干卷积网络中提取多尺度和多层次特征,实现精细化特征协同学习,以增强特征的判别能力来应对类内变化。设计了模态共有与特有特征协同模块和跨模态人体语义自监督模块,达到多源特征协同学习的目的,以提高多源异质图像信息的利用率,进而解决模态差异。在SYSU-MM01和RegDB数据集上验证了该方法的有效性和先进性。     

A study into the effects of personality type and methodology on cohesion in software engineering teams

The aim of the research described in this paper is to gain a qualitative understanding of how cohesiveness relates to personality type, performance and adherence to a particular software engineering methodology (XP). A variety of research methods were employed including ethnographic methods, questionnaires and interviews. An online personality test based on the Myers-Briggs Type Indicator (MBTI) was used to ascertain the personality types, and questionnaires were used throughout the project to measure levels of cohesiveness. Examples of how the teams worked together throughout the project are described, and whether and how this relates to the personality types of the individual members. The results indicate that certain teams were found to work consistently well over the project due to homogeneity in personality type and others were found to be very cohesive due to a mixture of types.