The effectiveness of using variable speed limit on the performance of an interrupted flow

The urban traffic congestion is getting worse with ever increasing urban population and vehicle ownership. The long queues at intersections and blockage of traffic on urban arterial roads become routine during the peak hours. Interrupted traffic flow through signalised intersections and arterial roads have badly been affected by these occurrences. Thus this paper examines the possibility of employing variable speed limit (VSL) for upstream traffic during the peak period to improve the traffic performance through signalised intersections as well as in urban arterials. The micro simulation software VISSIM was used to examine a hypothetical road network under VSL application. An expected traffic flow near capacity condition was simulated several times to see the effectiveness. Results show that for a reasonable period of time, the VSL application to the upstream traffic improve the traffic performance at immediate downstream intersections in terms of vehicle delay (16%), average queue length (18%) and average number of stops per vehicles (16%), while intersections located far from the VSL application has no or little effect. Similarly, the arterial performances have also been improved for a short period of time on the immediate downstream link in terms of density (13%), space mean speed (10%) and traffic flow (2%), the effective is negligible on the links located far. In addition a slight improvement was noticed to the total journey time on the immediate lin

Biofeedback systems for stress reduction: Towards a Bright Future for a Revitalized Field

Stress has recently been baptized as the black death of the 21st century, which illustrates its threat to current health standards. This article proposes biofeedback systems as a means to reduce stress. A concise state-ofthe-art introduction on biofeedback systems is given. The field of mental health informatics is introduced. A compact state-of-the-art introduction on stress (reduction) is provided. A pragmatic solution for the pressing societal problem of illness due to chronic stress is provided in terms of closed loop biofeedback systems. A concise set of such biofeedback systems for stress reduction is presented. We end with the identification of several development phases and ethical concerns

Virtual Astronomy, Information Technology, and the New Scientific Methodology

All sciences, including astronomy, are now entering the era of information abundance. The exponentially increasing volume and complexity of modern data sets promises to transform the scientific practice, but also poses a number of common technological challenges. The Virtual Observatory concept is the astronomical community's response to these challenges: it aims to harness the progress in information technology in the service of astronomy, and at the same time provide a valuable testbed for information technology and applied computer science. Challenges broadly fall into two categories: data handling (or "data farming"), including issues such as archives, intelligent storage, databases, interoperability, fast networks, etc., and data mining, data understanding, and knowledge discovery, which include issues such as automated clustering and classification, multivariate correlation searches, pattern recognition, visualization in highly hyperdimensional parameter spaces, etc., as well as various applications of machine learning in these contexts. Such techniques are forming a methodological foundation for science with massive and complex data sets in general, and are likely to have a much broather impact on the modern society, commerce, information economy, security, etc. There is a powerful emerging synergy between the computationally enabled science and the science-driven computing, which will drive the progress in science, scholarship, and many other venues in the 21st century

A Study on Student Attitudes in Learning Programming using Physical Computing

Learning to program can be difficult for the students. Students must master language syntax, programming theory, and problem-solving techniques. Efforts have been made to assist students in understanding how to program. This study is intended to examine whether Arduino, as a teaching and learning tool, helps in generating students’ interests towards programming. Arduino is one of the physical computing tools which has an open-source electronics platform based on user-friendly hardware and software for creating different projects and applications. Arduino is easy to be used by beginners, yet flexible enough for advanced users to learn physical computing and programming. This study adopted a quantitative research method to measure the student’s attitude in learning programming using physical computing. The sample of this study is 56 students from the foundation program and undergraduate program. To gauge students’ perception, students’ attitude survey was adapted. The collected data were analyzed using descriptive analysis. Based on the analysis, the study found that the overall mean score was 4.253. The result indicated that student has a positive attitude in learning programming using physical computing

21st Century Simulation: Exploiting High Performance Computing and Data Analysis

This paper identifies, defines, and analyzes the limitations imposed on Modeling and Simulation by outmoded paradigms in computer utilization and data analysis. The authors then discuss two emerging capabilities to overcome these limitations: High Performance Parallel Computing and Advanced Data Analysis. First, parallel computing, in supercomputers and Linux clusters, has proven effective by providing users an advantage in computing power. This has been characterized as a ten-year lead over the use of single-processor computers. Second, advanced data analysis techniques are both necessitated and enabled by this leap in computing power. JFCOM's JESPP project is one of the few simulation initiatives to effectively embrace these concepts. The challenges facing the defense analyst today have grown to include the need to consider operations among non-combatant populations, to focus on impacts to civilian infrastructure, to differentiate combatants from non-combatants, and to understand non-linear, asymmetric warfare. These requirements stretch both current computational techniques and data analysis methodologies. In this paper, documented examples and potential solutions will be advanced. The authors discuss the paths to successful implementation based on their experience. Reviewed technologies include parallel computing, cluster computing, grid computing, data logging, OpsResearch, database advances, data mining, evolutionary computing, genetic algorithms, and Monte Carlo sensitivity analyses. The modeling and simulation community has significant potential to provide more opportunities for training and analysis. Simulations must include increasingly sophisticated environments, better emulations of foes, and more realistic civilian populations. Overcoming the implementation challenges will produce dramatically better insights, for trainees and analysts. High Performance Parallel Computing and Advanced Data Analysis promise increased understanding of future vulnerabilities to help avoid unneeded mission failures and unacceptable personnel losses. The authors set forth road maps for rapid prototyping and adoption of advanced capabilities. They discuss the beneficial impact of embracing these technologies, as well as risk mitigation required to ensure success

The New Crafts: On the Technization of the Workforce and the Occupationalization of Firms

[Excerpt] In the late 1960s and early 1970s American students were told that the value of a college education was declining (see Freeman 1976). Although liberal arts students were particularly discouraged by reports of recent graduates driving taxicabs, even the demand for engineers and other technical specialists seemed bleak. Two decades later, the headlines have reversed. Study after study proclaims that American children are performing more poorly on achievement tests than the children of most other industrialized nations. Employers complain of a shortage of skilled workers: young people are said to be ill-prepared for the demands of the workplace and older workers are said to lack the educational background requisite for retraining (Johnson and Packer 1987). Studies by labor economists have largely confirmed the employers\u27 contentions and foretell of even greater shortages of skilled labor in the near future (Bishop and Carter 1991)

2020 (Fall) ENSI Informer Magazine

The ENSI Informer Magazine published in the fall of 2020