Many transport companies face problems in regulating their transport services due to various challenges and issues. These problems affect the quality of the services provided especially in a university campus environment, where students heavily depend on the university transport services for their daily commuting.What are the problems faced by the management of the campus transport company? What are the issues raised by the drivers operating the on-campus buses? Hence, in assisting the management of the transport company the authors have identified the inefficiency of their bus driver scheduling system as one of the main problems, which needed to be tackled. For that reason, the authors developed an efficient bus driver scheduling model based on the Genetic Algorithm (GA) approach. The GA model is able to provide some resolutions and insight in relation to these inquiries: What are the constraints being considered in this bus driver scheduling problem? - How were the drivers’ break times being distributed in this GA approach? - How was the time taken to generate an efficient schedule? - For more information please visit: http://uumpress.uum.edu.my/
Accreditation is a certification of the academic quality of an institution of higher learning. Some countries require accreditation and others consider it as optional. Some countries accredit through official government agencies while others appoint independent or private organizations that oversee the whole educational accreditation process. In Malaysia, the Malaysian Qualifications Agency (MQA) is the sole responsible body to monitor the accreditation process for all Higher Education Institutions (HEIs). This manual is a standard reference to assist lecturers and teachers in preparing MQF documents. It sets to provide clear guidelines on details of how to prepare all documents necessary for MQA accreditation.
This monograph offers design for fast and reliable technique in the dense motion estimation. This Multilevel Optimization for Dense Motion Estimation work blends both theory and applications to equip reader with an understanding of basic concepts necessary to apply in solving dense motion in a sequence of images. Illustrating well-known variation models for dealing with optical flow estimation, this monograph introduces variation models with applications. A host of variation models are outlines such as Horn-Schunck model, Contrast Invariation Models and Models for Large Displacement. Special attention is also given to multilevel optimization techniques namely multiresolution and multigrid methods to improve the convergence of the global optimum when compared to using only one level resolution in the context of computer vision. This monograph is a robust resource that provides insightful introduction to the field of image processing with its theory and applications. Overall, Multilevel Optimization for Dense Motion Estimation is highly recommended for scientists and engineers for an excellent choice for references and self-study.
Many transport companies face problems in regulating their transport services due to various challenges and issues. These problems affect the quality of the services provided especially in a university campus environment, where students heavily depend on the university transport services for their daily commuting.What are the problems faced by the management of the campus transport company? What are the issues raised by the drivers operating the on-campus buses? Hence, in assisting the management of the transport company the authors have identified the inefficiency of their bus driver scheduling system as one of the main problems, which needed to be tackled. For that reason, the authors developed an efficient bus driver scheduling model based on the Genetic Algorithm (GA) approach. The GA model is able to provide some resolutions and insight in relation to these inquiries: What are the constraints being considered in this bus driver scheduling problem? - How were the drivers’ break times being distributed in this GA approach? - How was the time taken to generate an efficient schedule? - For more information please visit: http://uumpress.uum.edu.my/
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