Search results

The professionalization of IT has long been complicated by disagreement over the appropriate model to employ. Physicians, lawyers, scientists, engineers, artisans, and artists have all one been invoked at one time or another by one group or another as guiding examples for the development of an IT profession. Yet none of these has proved fully convincing. Discusses the different kinds of professional practice which have been likened to IT, considers why it has proved so difficult to settle on a single one, and suggests an alternative way of conceptualizing IT practice.

Presents a review on implementing finite element methods on supercomputers, workstations and PCs and gives main trends in hardware and software developments. An appendix included at the end of the paper presents a bibliography on the subjects retrospectively to 1985 and approximately 1,100 references are listed.

The purpose of this paper is to present a formal verification method to prove the correctness of social customer relationship management (CRM)-based service composition approach. The correctness of the proposed approach is analyzed to evaluate the customer behavioral interactions for discovering, selecting and composing social CRM-based services. In addition, a Kripke structure-based verification method is presented for verifying the behavioral models of the proposed approach.

Evaluating the customer behavioral interactions using the social CRM-based service composition approach is an important issue. In addition, formal verification has an important role in assessing the social CRM-based service composition. However, model checking can be efficient as a verification method to evaluate the functional properties of the social CRM-based service composition approach.

The results of model checking satisfied the logical problems in the proposed behavior model analysis. In the statistical testing, the proposed URM mechanism supported the four knowledge creation process conditions. It was also shown that the percentage of state reachability in the URM with KCP conditions is higher than the URM mechanism without supporting KCP conditions.

The comparison of time and memory consumption of the model checking method shows that the social CRM-based service composition approach covers knowledge process features, which makes it an efficient method.

This special “Anbar Abstracts” issue of Work Study is split into six sections covering abstracts under the following headings: Operational research and statistics; Project management, method study and work measurement; Business process re‐engineering; Design of work; Performance, productivity and motivation; Stock control and supply chain management.

The purpose of this paper is to present principles from the complex approach in education and describe some practical pedagogic experiences enhancing how “real world” perspectives have influenced and contributed to curriculum development.

Necessity of integration in terms of knowledge modeling is an historical trend in Engineering and Computer Sciences curricula. Integration of particular technical aspects with wide global aspects is a response to globalization demands. Globalization demands require new approaches, at both educational and teaching levels. Also, educational level embeds a wide range of pedagogical proposals or teaching proposals. Since the 1990s, Engineering and Computer Sciences curricula have emphasized, increasingly, the project‐oriented approach in the Engineering field of knowledge and software engineering contents has migrated to beginners or fresh‐man level in Computer Sciences courses. This approach is called the Complex Approach in education. COOL – “Comprehensive Object‐Oriented Learning” – is an educational project mentored by Emeritus Professor Kristen Nygaard, from the Department of Informatics at Oslo University, which deals with the complex approach in education. Professor Nygaard passed away in 2002. This project was published in 2006 under the title of “Comprehensive Object‐Oriented Learning: the Learner’s Perspective”. This paper analyses theoretical aspects in Nygaard's project and also compares aspects with the author's work teaching Object Oriented Modeling in Computer Sciences and Engineering, at Federal University of Santa Catarina – UFSC, Florianopolis, Brazil. The author's pedagogic proposal, developed on those contexts, since 1997, is supported by Nygaard theory and also by Edgar Morin “Complex Thought” theory adopted by UNESCO, titled Complex Thought cathedra.

Innovation, in terms of Engineering and Computer Sciences curriculum development, is deeply related to the complex approach educational paradigm. Consequently, innovation in terms of pedagogic practices is also deeply related to the complex approach perspective. Complex approach overpasses fragmented view of knowledge towards integrative view concerning curriculum development in technological areas.

The comprehensive object‐oriented learning presented here is applied to Computer Science and Engineering. However its development and application could impact other disciplines and education, especially in relation to technology integration in education.

The paper presents and discusses COOL as a concept and approach for enhanced learning, in a novel manner, taking account of theoretical underpinnings developed aligned to modern thinking.

The purpose of the research is to concentrate on the most important smart metropolitan applications which are smart living, smart security and smart maintainable. In that, Power management and security is a most important problem in the current metropolitan situation.

A smart metropolitan area utilizes recent innovative technologies to improve its living, security and maintainable. The aim of this study is to recognize and resolve the difficulties in metropolitan area applications.

The main aim of this study is to reduce the metropolitan foremost energy consumption, to recharge the electric vehicles and to increase the lifetime of smart street lights.

The hybrid renewable energy street light applies smart resolutions to substructure and facilities in rural and metropolitan areas to create them well. This study will be applying smart metropolitan solar and wind turbine street light using renewable energy for existing areas. In future, the smart street light work will be implemented everywhere else.

Mechatronics is a very important area of research in industrial applications. The purpose of this study is to find some of the most important components of the literature on this subject.

The analysis is based on the use of the database Compendex; it was searched in the broadest way for documents related to mechatronics. In addition, subject guides from libraries of universities with mechatronics programs were studied to find resources available in those areas.

The literature of mechatronics is extensive and multidisciplinary. Based on the results from Compendex, the following data were found: most productive authors, list of leading journals and conference proceedings, publishers and grant organizations, authors’ affiliations and other minor details. Based on the analysis of subject guides, the following types of resources were found: research databases, reference books and ebook collections.

Part of the analysis is based on a search performed in one technical database, Compendex; it was the database that generated the largest number of citations as compared to Inspec and the Web of Science. The results have a strong English language focus. It is possible that by using the results from multiple data bases, some additional sources could be obtained.

Mechatronics is a relatively new technological field comprising a number of scientific and engineering areas. The results obtained summarized a significant amount of bibliographic information.

The work is original; to the best of the authors’ knowledge, no other study has analyzed the literature on this subject.

Several countries have been using internet of things (IoT) devices in the healthcare sector to combat COVID-19. Therefore, this study aims to examine the doctors’ intentions to use IoT healthcare devices in Iraq during the COVID-19 pandemic.

This study proposed a model based on the integration of the innovation diffusion theory (IDT). This included compatibility, trialability and image and a set of exogenous factors such as computer self-efficacy, privacy and cost into the technology acceptance model comprising perceived ease of use, perceived usefulness, attitude and behavioral intention to use.

The findings revealed that compatibility and image of the IDT factors, have a significant impact on the perceived ease of use, perceived usefulness and behavioral intention, but trialability has a significant impact on perceived ease of use, perceived usefulness and insignificant impact on behavioral intention. Additionally, external factors such as privacy and cost significantly impacted doctors’ behavioral intention to use. Moreover, doctors’ computer self-efficacy significantly influenced the perceived ease of use, perceived usefulness and behavioral intention to use. Furthermore, perceived ease of use has a significant impact on perceived usefulness and attitude, perceived usefulness has a significant impact on attitude, which, in turn, significantly impacting doctors' behavior toward an intention to use.

The limitations of the present study are the retractions of the number of participants and the lack of qualitative methods.

The finding of this study could benefit researchers, doctors and policymakers in the adaption of IoT technologies in the health sectors, especially in developing counties.

This paper aims to examine the impact of vocational training on unemployed workers not typically studied: women enrolled in engineering or computer programming training and high school dropouts.

Using data from New Jersey's Individual Training Grant (ITG) program and a quasi‐experimental design, the study compares the ITG groups' re‐employment and wage recovery rates with a matched comparison group.

The article finds that women enrolled in the male‐dominated fields of engineering or computer programming experience re‐employment rates that are lower than or similar to those in the comparison group, but they experience higher wage recovery in 8th and 12th quarters after claiming unemployment insurance (UI). Hispanic high school dropouts experience both higher re‐employment and wage recovery rates than their comparison group, but the wage recovery advantage disappears when those enrolled in truck driving training are removed from the sample. Further, white and black high school dropouts experience no re‐employment or wage recovery advantage. For all participants, the study finds participants experience a higher re‐employment rate than the comparison group beginning in the fifth quarter and experience no wage recovery advantage.

To address the concern of selection bias, a difference‐in‐difference wage model controls for time‐variant differences in unobservables and an employment regression model controls for remaining differences in the matching variables.

These results suggest that training improves re‐employment chances and that type of training matters with respect to wage recovery. In this sample, those enrolled in truck driving training, engineering, and computer programming tended to experience higher wage recovery than their comparison group.

This paper examines the impact of vocational training on unemployed workers not typically studied.