Post Disaster Environment Management Practices (Emp) On Energy Conservation (A Case Study Of Japan Stay Sakura Hotel, Tokyo)

Amalan Pengurusan Persekitaran telah menjadi satu amalan penting dalam organisasi hari ini. Kebanyakan organisasi memulakan amalan ini untuk menjimatkan kos, meningkatkan reputasi, atas kehendak kerajaan and sebagainya. EMP has become an important practice in organizations today. More organization start to practice to save cost, improve reputation, required by government and so on

Effects of Achievement Motivation Training on a Group of Secondary School Students

This study examined the effects of achievement motivation training on a group of secondary school students. The training programme was developed based on activities adapted from the McClelland's tradition. It comprised 10 activities carried out in five sessions with each session lasting two and a half hours. Two Form Four classes were requested from the school authority. A total of 70 subjects (N=70) were randomly assigned into two groups based on the pre-test score of need for achievement measured by the Thematic Apperception Test. Treatment in the form of training was given to the first group of 35 Fourth Formers, whilst another group of 35 Fourth Formers formed the control group which received no treatment. Findings from the study showed that after training, subjects improved in their achievement motivation, locus of control and academic performance of Mathematics in the intended direction. However, results from Analysis of Covariance did not show that there were any significant differences in need for achievement, locus of control and academic performance in Mathematics between the trained and the untrained subjects

Serial factorial designs

The thesis is primarily concerned with change-over designs for t treatments, t^2 subjects and 2t periods such that each combination of treatments in any two consecutive periods occurs on exactly one subject and each treatment occurs twice with each subject. Such designs are here called Serial factorial change-over designs (SF designs)

Understanding Malaysia leisure low cost airline passengers behavior: Promotional Price, Perceived Value, Customer Satisfaction and Repurchase Intention

This research explored price promotion, the meaning of perceived value, customer satisfaction and repurchase intention of Malaysian low cost airlines from the perspectives of their existing domestic customers. The Malaysian low cost airlines have been competing aggressively for passenger load. Frequent price promotional campaigns are launched by the Malaysian low cost airlines to induce forward booking of air tickets to lock-in customers for future sales. Literature indicated that as a market matures, perceived value and customer satisfaction supersedes price in inducing favourable repeat purchase intention. The qualitative research methodology was adopted for this study to explore the effect of continuous price promotion, the multiple meanings of perceived value and the definition of customer satisfaction of Malaysian low cost airlines. Findings of this research revealed that frequent price promotion is not significant in inducing favourable repurchase intention. In addition, perceived functional value in terms of lower price, perceived relative value and perceived "social connectedness" value are crucial in prompting favourable repeat purchase intention of low cost air travel. Another interesting finding of this research is lower airfare is viewed as a perceived benefit and not perceived monetary cost. Customers of Malaysian low cost airlines define customer satisfaction as having low expectations and their dissatisfaction is non durable

FPGA-Based CNN Inference Accelerator Synthesized from Multi-Threaded C Software

A deep-learning inference accelerator is synthesized from a C-language software program parallelized with Pthreads. The software implementation uses the well-known producer/consumer model with parallel threads interconnected by FIFO queues. The LegUp high-level synthesis (HLS) tool synthesizes threads into parallel FPGA hardware, translating software parallelism into spatial parallelism. A complete system is generated where convolution, pooling and padding are realized in the synthesized accelerator, with remaining tasks executing on an embedded ARM processor. The accelerator incorporates reduced precision, and a novel approach for zero-weight-skipping in convolution. On a mid-sized Intel Arria 10 SoC FPGA, peak performance on VGG-16 is 138 effective GOPS

Reliability-Based Design Optimization of a Transonic Compressor

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/77181/1/AIAA-16262-571.pd

Seasonal anomalies of stocks in ASEAN equity markets

This study examines the daily anomalies in the five ASEAN equity markets of Malaysia, Singapore, Thailand, Indonesia and the Philippines before, during and after the Asian financial crisis. The regression results reveal different patterns among these markets for each of the three periods. The Monday and Friday effects are most predominant during the pre-crisis period. Only the Tuesday effect in Thailand and the Philippines is observed during the crisis period. While the pattern of daily anomalies in Thailand during the post-crisis period reverts to that of the pre-crisis period, the other four markets exhibit different patterns of daily anomalies compared to the pre-crisis period. When the time-varying return volatility is taken into account through the use of GARCH-M model, the Monday effect remains significant while some of the other daily anomalies have become insignificant during the pre-crisis period. The Tuesday effect in Thailand and the Philippines disappears altogether during the crisis period. Only the Monday and Friday effects in Thailand persist in the post-crisis period

A comparison forecasting models for ASEAN equity markets

This paper compares six models for forecasting the performance of the ASEAN equity markets of Malaysia, Singapore, Thailand, Indonesia and the Philippines before, during and after the Asian financial crisis. In the precrisis period, the OLS, ARCH-M and TARCH models have better forecasting performance than the other models. In the crisis period, the ARCH-M model has the best forecast performance for three markets, while the remaining two markets are best forecast with the random walk model. However, in the post-crisis period, the TARCH and EGARCH models are found to be the most suitable models. The different variants of the GARCH model adequately captured the time-varying returns volatility. But the asymmetry of the market returns is not significant in all the markets modelled by the TARCH and EGARCH models