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用ANSYS软件描述了有限元建模及扭矩传感器的分析 ,通常采用力传感器的应变片布片方案 .本文主要工作是建立传感器结构的弹性体的有限元模型 ,分析滚动力矩My 作用于弹性体时的应力和应变分布情况 ,并展示结果 相似文献
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Although group project concepts and skills have become a major component in most information systems (IS) academic programs, very little research has attempted to examine factors that may improve or undermine effectiveness of IS group projects. Accordingly, based on relevant literatures, this study develops and empirically tests a model of factors affecting IS group project effectiveness. The research model posits that group cohesion and group efficacy will have positive effects on group effectiveness (project success and expected impact), whereas perceived loafing is expected to have a negative effect on IS group effectiveness. Data collected from 104 students working in 29 groups to complete semester‐long projects in two IS courses revealed that group efficacy had positive impact on group effectiveness and perceived loafing demonstrated a partial effect. Contrary to expectations, the impact of group cohesion was nonsignificant. These results could be useful in evaluating groups' potential for success and creating conditions conducive to enhancing effectiveness and success of IS student group projects. 相似文献
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Khaled Gharaibeh Bassam Harb Haythem Bany Salameh Asem Zoubi Ahmed Shamali Noel Murphy 《European Journal of Engineering Education》2013,38(2):194-210
This article presents the methodology and results of the curriculum review of the Masters of Science programme in Wireless Communications offered by the Telecommunications Engineering Department at Yarmouk University in Jordan. The review is based on expert opinion collected through questionnaires and meetings about the programme and focuses on two main aspects: the first is relevance of the programme to the needs of local and regional telecommunications industry and the second is comparability to similar programmes in the EU.
Through an extensive analysis of the collected data, a set of recommendations for improvement of the existing curriculum was developed. These recommendations were then used to redesign the curriculum with regard to contents, teaching methodology and assessment. 相似文献
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Bassam Al-Salemi Masri Ayob Graham Kendall Shahrul Azman Mohd Noah 《Information processing & management》2019,56(1):212-227
Multi-label text categorization refers to the problem of assigning each document to a subset of categories by means of multi-label learning algorithms. Unlike English and most other languages, the unavailability of Arabic benchmark datasets prevents evaluating multi-label learning algorithms for Arabic text categorization. As a result, only a few recent studies have dealt with multi-label Arabic text categorization on non-benchmark and inaccessible datasets. Therefore, this work aims to promote multi-label Arabic text categorization through (a) introducing “RTAnews”, a new benchmark dataset of multi-label Arabic news articles for text categorization and other supervised learning tasks. The benchmark is publicly available in several formats compatible with the existing multi-label learning tools, such as MEKA and Mulan. (b) Conducting an extensive comparison of most of the well-known multi-label learning algorithms for Arabic text categorization in order to have baseline results and show the effectiveness of these algorithms for Arabic text categorization on RTAnews. The evaluation involves four multi-label transformation-based algorithms: Binary Relevance, Classifier Chains, Calibrated Ranking by Pairwise Comparison and Label Powerset, with three base learners (Support Vector Machine, k-Nearest-Neighbors and Random Forest); and four adaptation-based algorithms (Multi-label kNN, Instance-Based Learning by Logistic Regression Multi-label, Binary Relevance kNN and RFBoost). The reported baseline results show that both RFBoost and Label Powerset with Support Vector Machine as base learner outperformed other compared algorithms. Results also demonstrated that adaptation-based algorithms are faster than transformation-based algorithms. 相似文献
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Towards enhancing retrieval effectiveness of search engines for diacritisized Arabic documents 总被引：1，自引：1，他引：0
Bassam H. Hammo 《Information Retrieval》2009,12(3):300-323
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When empathy hurts: Modelling university students’ word of mouth behaviour in public vs. private universities in Syria 
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下载免费PDF全文 This study examines and compares word of mouth (WOM) behaviour among university students in Syria. To date, little is known about this important phenomenon which is surprising given the deregulated education market in Syria that allows for private universities to compete for students alongside public universities. Using a mixed methods research design and structural equation modelling, our results show faculty individualised attention and student satisfaction were found to be positively related to university image. Further, student satisfaction and university image were found to be direct sources of students’ positive WOM behaviour. We found a moderating effect of university ownership type on university image. Interestingly, we identified six themes showing how support staff empathy could be seen as a source of low student satisfaction. These were defined as deception/credibility/soft‐soapers/suspiciousness: when support staff coax something out of students; confusion/role conflict: resulting from the diverse roles played by support staff while interacting with students; unfairness: when a student notices discrimination in the level of empathy between their peers; privacy: when support staff empathy can be perceived as a kind of intrusion; self‐congratulatory: when a support staff member shows off or praises their empathy; and support staff/student ratio: when this ratio is seen to be small, the empathy effect reverses. 相似文献
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