The Influence Factors Of Competitiveness In Quality Among Private Higher Education Institutions (Pheis) In Malaysia: The Role Of Green Initiatives As A Mediator

Tujuan kajian ini adalah untuk: (a) menyelidik faktor-faktor mempengaruhi kualiti daya saing Institusi Pengajian Tinggi Swasta (IPTS) di Malaysia: dan (b) menyiasat sama ada inisiatif alam sekitar bertindak sebagai pengantara dalam hubungan di atas. The aims of this study were to: (a) examine the influence factors on the Malaysia Private Higher Education Institutions (PHEIs) competitiveness in quality: and (b) investigate whether green initiatives serve as a mediator in the relationship

Design for serviceability evaluation of car door

Serviceability is the capability to perform effective problem determination,diagnosis, and repair on a system or a product. The main problem of Kancil's car door is the service cost and time are less consideration due to its uneasy disassemble and complexity procedures to service a car door. Design for serviceability evaluation of car door is aim to search for shorter car door service cycles and lower cost has led to the emergence of DFA and DFS. Through this project, DFS is a tool that will allow estimating the times and the cost for the service tasks which carrying out on the products. DFA will be analysis the optimization design to ease for assembly. DFA and DFS is the practice whereby the design needs to simultaneously consider various dotnstrearn activities throughout the entire product service life cycle, in addition to meeting the products' functions. Furthermore, Pugh method is concerned with finding the optimal and evaluate redesign concepts and thus to meet the serviceability requirements. A car door redesign has been presented to demonstrate the feasibility of the proposed scheme based on the easiest defect components on car door. The result shows that the service time of the current design, for instance door latch is 609.90s and after modification the service time reduces to 353.70s. While the service cost calculated with hourly labour rate before the modification is Rm20.85 and after modification is Rm20.49. Thus it can conclude that the proposed method can be applied on evaluating the product design at the early phase of the design

The Influence Factors Of Competitiveness In Quality Among Private Higher Education Institutions (Pheis) In Malaysia: The Role Of Green Initiatives As A Mediator

Tujuan kajian ini adalah untuk: (a) menyelidik faktor-faktor mempengaruhi kualiti daya saing Institusi Pengajian Tinggi Swasta (IPTS) di Malaysia: dan (b) menyiasat sama ada inisiatif alam sekitar bertindak sebagai pengantara dalam hubungan di atas. The aims of this study were to: (a) examine the influence factors on the Malaysia Private Higher Education Institutions (PHEIs) competitiveness in quality: and (b) investigate whether green initiatives serve as a mediator in the relationship

A Comprehensive Survey of Deep Learning in Remote Sensing: Theories, Tools and Challenges for the Community

In recent years, deep learning (DL), a re-branding of neural networks (NNs), has risen to the top in numerous areas, namely computer vision (CV), speech recognition, natural language processing, etc. Whereas remote sensing (RS) possesses a number of unique challenges, primarily related to sensors and applications, inevitably RS draws from many of the same theories as CV; e.g., statistics, fusion, and machine learning, to name a few. This means that the RS community should be aware of, if not at the leading edge of, of advancements like DL. Herein, we provide the most comprehensive survey of state-of-the-art RS DL research. We also review recent new developments in the DL field that can be used in DL for RS. Namely, we focus on theories, tools and challenges for the RS community. Specifically, we focus on unsolved challenges and opportunities as it relates to (i) inadequate data sets, (ii) human-understandable solutions for modelling physical phenomena, (iii) Big Data, (iv) non-traditional heterogeneous data sources, (v) DL architectures and learning algorithms for spectral, spatial and temporal data, (vi) transfer learning, (vii) an improved theoretical understanding of DL systems, (viii) high barriers to entry, and (ix) training and optimizing the DL.Comment: 64 pages, 411 references. To appear in Journal of Applied Remote Sensin