BECAUSE European workshop Sophia-Antipolis (France) 14–16 October 1992. General presentation of the BECAUSE Benchmark Set: BBS

Within the framework of the ESPRIT Project named BECAUSE (5417), entitled “Benchmarking of Concurrent Architectures for their Use in Scientific Engineering”, a set of industrial benchmarks was specified. The BECAUSE Benchmark Set (BBS) is scientifically application oriented. The various Test Programs have been extracted and specified from real industrial software such as electromagnetics software, semi-conductor simulation and computational fluid dynamics. The aim was to provide a general tool to industry in order to evaluate new generations of parallel computers and supercomputers in terms of memory capacity and computational power. Before parallelising a complete application, a scientific developer must answer the questions: ‘What is the performance of a given machine on my application and is it worth spending time to parallelise it?’ The BBS has been designed to provide simple benchmarks, as close as possible to critical parts of real scientific applications. Thus, by implementing various tests selected within the BBS, the user can get information useful to answer these questions. The serial version of the entire set of BBS is public and available on a mail server.

In this paper, the objectives of the BECAUSE Project are recalled in order to replace the BBS in the context of this ESPRIT Project. Then, the applications from which test programs have been extracted are presented and all tests are described in detail. The next part is dedicated to the practical organisation of the BBS and is concerned with such aspects as documentation, input data and how to get the BBS, so that the BBS can be used inside and outside of the Project to assess parallel machines. As a conclusion, further developments are presented.     

Computer vision for behaviour-based safety in construction: A review and future directions

The process of identifying and bringing to the fore people’s unsafe behaviour is a core function of implementing a behaviour-based safety (BBS) program in construction. This can be a labour-intensive and challenging process but is needed to enable people to reflect and learn about how their unsafe actions can jeopardise not only their safety but that of their co-workers. With advances being made in computer vision, the capability exists to automatically capture and identify unsafe behaviour and hazards in real-time from two-dimensional (2D) digital images/videos. The corollary developments in computer vision have stimulated a wealth of research in construction to examine its potential application to practice. Hindering the application of computer vision in construction has been its inability to accurately, and generalise the detection of objects. To address this shortcoming, developments in deep learning have provided computer vision with the ability to improve the accuracy, reliability and ability to generalise object detection and therefore its usage in construction. In this paper we review the developments of computer vision studies that have been used to identify unsafe behaviour from 2D images that arises on construction sites. Then, in light of advances made with deep learning, we examine and discuss its integration with computer vision to support BBS. We also suggest that future computer-vision research should aim to support BBS by being able to: (1) observe and record unsafe behaviour; (2) understand why people act unsafe behaviour; (3) learn from unsafe behaviour; and (4) predict unsafe behaviour.     

Interactive smart battery storage for a PV and wind hybrid energy management control based on conservative power theory

This paper presents interactive smart battery-based storage (BBS) for wind generator (WG) and photovoltaic (PV) systems. The BBS is composed of an asymmetric cascaded H-bridge multilevel inverter (ACMI) with staircase modulation. The structure is parallel to the WG and PV systems, allowing the ACMI to have a reduction in power losses compared to the usual solution for storage connected at the DC-link of the converter for WG or PV systems. Moreover, the BBS is embedded with a decision algorithm running real-time energy costs, plus a battery state-of-charge manager and power quality capabilities, making the described system in this paper very interactive, smart and multifunctional. The paper describes how BBS interacts with the WG and PV and how its performance is improved. Experimental results are presented showing the efficacy of this BBS for renewable energy applications.     

BBS中信息传播模式的特征分析

通过比较传染病传播机制与信息传播机制,提出BBS中的信息传播机制模型。通过对BBS中帖子数量变化规律的建模,分析了BBS中信息传播模式的特征,并使用实际数据说明BBS中的信息传播模式。实验表明：BBS可以吸引大批的用户参与,但用户只对部分话题感兴趣并参与讨论;绝大多数话题（占94.9%）帖子数的增长率先增加再减小直至为0,而少量话题（占5.1%）帖子数的增长率直接减小至0。这些结论有助于认识BBS的信息传播机制,对控制和管理BBS的信息传播有启发意义。     

一种对BBS语料进行话题提取的聚类算法

基于BBS语料的话题提取主要是从大量的BBS论坛讨论信息中,将正在或近期讨论的各种话题提取出来.在自主开发的一套话题提取系统中采用了一个原始聚类算法,能够对真实的BBS语料进行有效话题提取.随后将语料中的关联信息引入到原始聚类算法中进行改进,提高了算法的性能,取得了良好的效果.     

基于活跃用户特征的论坛广告投放

网络论坛用户众多,广告投放市场大,而目前针对网络论坛的个性化广告却很少,这是因为论坛数据庞杂,信息更新快,实现广告的精准投放有困难.提出了一个基于活跃用户特征词分析的论坛广告个性化投放模型,在模型中提取论坛活跃用户,对活跃用户偏向性进行分析,从而以活跃用户为载体进行个性化广告投放.最后将这一模型在一热门论坛数据上进行了实验,实验结果表明该模型能实现论坛广告的个性化投放.     

Fast template matching based on deformable best-buddies similarity measure

Accuracy and speed are the essential metrics for the template matching algorithms in solving object tracking problems. Since the method based on Best Buddies Similarity (BBS) has achieved the state-of-the-art performance in terms of accuracy, matching speed becomes the shortest piece of wood of the bucket. In this paper, we propose a fast template matching method based on our deformable BBS measure. The deformable BBS measure enables matching to be performed between the patches in varying sizes, and hence leads to even higher accuracy than the original BBS-based methods. More important, we develop a fast potential-area discovery algorithm based on proposal generation and selection. It significantly reduces the numbers of useless attempts on calculating and comparing similarities of impossible image patches. The experimental results show that, with the deformable BBS measure and the fast potential-area discovery, our template matching method outperforms the state-of-the-art methods in terms of accuracy, speed and robustness.

     

Mitigating bias blind spot via a serious video game

We employed a serious video game to train participants on bias blind spot (BBS), capturing training effects on BBS mitigation and knowledge at three points in time. Experiment 1 (N = 703) compared the effects of hybrid training (a combination of implicit and explicit training) to implicit training; Experiment 2 (N = 620) tested the effects of just-in-time versus delayed feedback; and Experiment 3 (N = 626) examined the effects of singleplayer versus multiplayer learning environments. We also tested differences in game duration (30 vs. 60 min play) and repetition (single vs. repeated play). Overall, the video game decreased BBS linearly over time and increased BBS knowledge at posttest, but knowledge decayed at 8-week posttest. These and other results are discussed, along with the implications, limitations, and future research directions.     

Visualization of fluid mixing in microchannels

The development of a microchannel for fluid-mixing applications comes from the recent interest in microfluidic device applications in biology. Microfluidics refers to fluid flow and transport phenomena associated with these devices. The basic idea of developing microfluidic devices is to shrink the physical dimensions of most commonly used processors - that is, using miniaturization and function integration to create the so-called lab on a chip. The development of microfabrication procedures and the associated fundamental theories requires computer analysis and simulation techniques. Computer modeling not only reduces the experiment costs - such as data acquisition devices and control - but also expedites a certain design concept's evaluation process. More importantly, computer modeling results will help gain a better understanding of the flow field through flow visualization, and the information drawn from the results of computer simulations will in turn improve the design. This is especially important during the conceptual design phase.     

Conflict and Intolerance in a Web Community: Effects of a System Integrating Dialogues and Monologues

The Spiritual Navigator website offers a bulletin board system (BBS) for dialogues, weblogs for individual monologues, and a psychological test so the user can determine his/her own mental state. The results of covariance structure analyses, where questions in the psychological test are the independent variable and the number of postings to the BBS/weblog is the dependent variable, suggest that motivations for BBS interaction and for blogging are quite different. The less tolerant a user is of different views, the more often that user posts to the BBS. Some users who initially post actively to the BBS stop posting there (e.g., in response to criticism) but continue to post to their own weblogs (including their responses to criticism). Given this situation, it is suggested that a system such as the Spiritual Navigator that combines online dialogue and monologue, and that is designed to balance conflicts with stability, could bring about the observance of face-saving ritual (in Goffman's term) or Habermas-like discourse ethics in the public sphere on the Internet.     

基于Struts框架的Web应用系统设计与实现

Struts是基于MVC模型的Web应用软件开发框架,文中阐述了Struts的体系结构及主要组成组件,并以BBS系统实现为实例,讨论如何设计基于Struts框架的应用,同时也分析了使用Struts框架开发web应用的优势。     

The influence of specific computer experiences on computer self-efficacy beliefs

Previous research has demonstrated that computer experience has a positive impact on computer self-efficacy. However, little or no research has investigated the unique influence of specific types of computer experiences or knowledge on computer self-efficacy beliefs. This study examines the influence of eight types of computer experiences on computer self-efficacy. The results indicate that experience with computer programming and graphics applications have strong and significant effects on computer self-efficacy beliefs, whereas experience with spreadsheet and database applications demonstrated weak effects. The results offer useful insights into designing training courses and educational programs to enhance computer self-efficacy beliefs.     

具有对抗关系和时变拓扑的耦合离散系统有界双向同步EI北大核心CSCD

针对含有对抗关系和时变拓扑的耦合离散系统,本文研究了这类系统有界双向同步问题(Bounded bipartite synchronization, BBS).考虑了以下两种情形:1)在某时刻所有个体不能划分为两个敌对阵营;2)尽管在每一个时刻所有个体都可以被划分为两个敌对阵营,但每个阵营中的成员随着时间的推移而改变.对于以上两种情形,耦合系统不能达到双向同步,可以在一定条件下达到有界双向同步.本文得到了使耦合离散系统达到有界双向同步的一些充分条件,并通过一个数值例子验证了所得结论的有效性.     

多媒体电子公告板系统的设计与实现

该文结合SVG、SMIL与传统的BBS技术,设计并实现了一个基于B/S体系结构的多媒体BBS,使用户能够在网页上方便地编辑、刊载、浏览、回复包含多媒体元素的贴子,大大拓宽了用户在BBS上的表达手段,提高了BBS的功能和效率,实现了传统BBS的多媒体化。     

基于BBS热点主题发现的文本聚类方法

针对电子公告板(BBS)帖子浏览机制不完善和主题发现效率不高的问题,提出一种基于BBS热点主题发现的文本聚类方法。将含有关键词的文档向量相加,经权重处理后计算其两两距离,合并最小的2类,并逐次进行,使最终类的大小比较均匀,以分等级的菜单方式组织帖子便于逐层浏览。实验结果表明,该方法比常规方法更适用于BBS主题浏览。     

Interpersonal perception in bulletin board systems among Chinese Internet users

A study investigating the accuracy of interpersonal perception in Internet Bulletin Board Systems (BBS) and the variables that affect the accuracy were conducted in two phases: in the phase one, 58 participants were selected from the BBS which was built on the Internet in advance. During the phase two, participants were requested to complete the Myers–Briggs Type Indicator (MBTI) to assess their personalities, and to choose another member in the BBS as their “target”. The assessment packets were then administered to the participants in the following order: the demographic and Internet use survey, the MBTI used by the judge to assess their target’s personality, and the relationship survey between judge and target. The results showed that 76.7% participants made the correct judgment on two to three out of four dimensions of the personality type. The correlation analysis indicated that the variables affected the accuracy were from four aspects: judge, target, relationship and similarity. The binary logistic regression analysis showed that the target’s personality, the judge’s education level, the similarity between them, the stereotypes and projection played important roles on the accuracy. Possibilities for future research on this issue are also briefly discussed.     

"信号与系统"网络教学系统设计与实现

“信号与系统”是电子信息类专业的一门重要的技术基础课，“信号与系统”网络教学系统充分利用计算机技术、网络技术与多媒体技术与教育教学技术的统一，它的内容包括课程学习、视频课堂、在线答疑、课程讨论、课程资源等五大模块，注重实用性与技术性的统一，建立了更好的教学互动。     

基于语义相似度的论坛话题追踪方法

现有的话题追踪方法大多面向新闻数据,将其应用于论坛时效果不够理想。结合论坛的特点,提出一种基于语义相似度的论坛话题追踪方法。该方法首先通过构建话题和帖子的关键词表建立其文本表示模型,然后利用知网计算两个关键词表的语义相似度并以此作为帖子与话题的相关程度,最后根据相关程度实现论坛话题追踪。该方法较好地避免了向量空间模型的缺陷。实验表明,该方法能比较有效地解决面向论坛的话题追踪问题。     

BBS伪随机发生器的改进与应用

传统的BBS随机数生成器是逐个比特的生成器,因此速度比较慢。在本文,我们对传统的BBS生成器进行了改进,得到每次生成多位比特的高速BBS生成器。基于我们的生成器,我们构造了一个高速的概率加密系统。