Abstract Study on the Manpower Deployment of Metro Rapid Transit ¡V Train Operator of Kaohsiung Rapid Transit Corporation The approach of this study is to obtain the information from the Customer Services Index, Human Resource Plan, the Organization Chart, Operations Plan and the Job Analysis of Train Operator from Kaohsiung Rapid Transit Corporation, Taipei Rapid Transit Corporation and Mass Transit Rapid Corporation Limited of Hong Kong. The information will be analyzed and calculated in an Excel file to work out a Manpower Deployment Model. The model will then be verified its accuracy and feasibility in accordance with the information from above mentioned organizations. The source of information also provided by personnel from O&M Consultancy Services of MTRCL. That information from different phases such as construction stage, tendering stage was also being included. As KRTC has few experience on railway operations, this Manpower Deployment Plan Model could assistance to the Corporation to prepare the manpower deployment plan at a short period of time and can easily to calculate a manpower development plan for future extension, even for other metro rapid transit studying. Keywords: Metro Rapid Transit,Train Operator,Human Resource Plan,Manpower Deployment Model¡C

Mobile Learning (M-learning) refers to any kind of learning which takes place within and beyond the traditional learning environment via wireless mobile devices. These devices are able to move with the learner to allow learning anytime, anywhere. M-learning is considered as the next step beyond electronic learning (E-learning) and distance learning (D-learning) by using mobile wireless devices with internet connectivity to facilitate formal and informal learning. Over the past decade M-learning has become gradually popular in university settings by providing mobile access to learning resources, collaborative learning and to exchange formative evaluation and feedback between students and instructors. Therefore, M-learning involves learning activities that are not restricted to a specific time or place. Despite the familiarity with M-learning as a new paradigm in modern education, there has been a shortage of research concerning how to deploy this technology in a successful way. The integration of M-learning in a university environment needs to involve some aspects in terms of the readiness of users and institutions, users‟ acceptance and engagement, and the sustainability of the system. There are some initial models that investigate the implementation of M-learning which provide some guidelines that work as starting point for the future of M-learning deployment. However, there is no theoretical model that provides guidelines for staged deployment of M-learning. In addition, there was no clear definition of sustainability factors that will assure continues evaluation and upgrade of M-learning systems after deployment. The aims of this research work are to study students‟ readiness for M-learning, investigate the factors that affect students‟ acceptance and analyse M-learning literature in order to propose and evaluate a model which can be used to foster the sustainable deployment of M-learning within teaching and learning strategies in higher education institutions. The research was conducted in Brunel University, West London. Data were collected from School of Information, Computing and Mathematical Science students using three surveys: the first studied students‟ readiness for M-learning, the second investigated factors that affect students‟ acceptance of M-learning and the last one developed and evaluated a sustainable M-learning deployment model. The outcome of this research lead to a conceptual model that gives a wide overview of all elements that need to be addressed in the M-learning environment and bridges the gap between the pre- and post-implementation phases in order to ensure sustainability. Furthermore, the model provides university educators with a planned approach to incorporate M-learning in higher education curriculums with the aim of improving teaching and learning.

Construction has a higher injury and fatality rate than most of the other industries. Given this situation, existing research has studied various issues and factors affecting construction safety management and has attempted to use all available methods to improve the construction safety performance. However, the construction accident rate remains among the highest in the United States and the world. The primary objective of this research is to advance autonomous proximity monitoring and hence provide a safer environment for construction workers. In particular, I seek to advance current evaluations of proximity warning technologies to a more robust engineering approach to the design and deployment of autonomous safety monitoring systems. The contributions of the research are demonstrated through specifications, deployments, and testing of proximity monitoring systems for crane loads and falling from height. My research advances current knowledge in three areas. First, I develop specifications for proximity safety monitoring in a sensed environment, built from existing guidelines and expert interviews. Second, I translate the specifications to computer interpretable rules and deploy them in a distributed computing environment. This demonstrates the feasibility of a systems approach and reusability of components to speed deployment. Third, I evaluate the accuracy of the specifications and systems under imperfect data. I further evaluate some approaches to dealing with imperfect data. Collectively, these advances move existing proximity warning research from evaluation of specific systems to an engineering approach to development and deployment of distributed systems with reusable components that explicitly treats imperfect data. / text

This thesis is focused on IBM Rational Unified Process methodology, which represents complex and robust aproach to software development and software lifecycle. This methodology is well described and every step of software lifecycle is predictible. Thats the reason why is becoming used in many software development organizations. The main goal of this thesis is deep description of this methodology and creation common outputs of inception and elaboration phase of e-learning information system. IBM Rational Unified Process is called use-case driven aproach, thats the reason why is emphasized descripton of all use-cases.