This paper aims to explore the level of manufacturing performance, environmental
actions and customer activities in implementing green supply chain initiatives. Besides,
the relationship between environmental actions and customer activities towards
manufacturing performance also been investigated. For this purposes, the data was
collected using questionnaire-based survey among Malaysian manufacturing firms.
Using the descriptive and correlation test, the data was analyzed. From the results, it
is showing that the manufacturing performance through the implementation of green
supply chain management has a positive relationship to environmental action and
customer activities.
This paper examined the significant relationship between government regulation and
construction waste management among Malaysian construction industries. Survey
was conducted among 10 contractors registered G7, using proportionate stratified
random sampling, out of which 10 questionnaire were collected for data analysis with
five point Likert scale categories of waste management from previous studies,
statistical analysis affirmed a significant positive relationship between government
regulation and construction waste management in Malaysian construction industries
through Statistical Package for the Social Sciences.
In this paper, the influence of effective communication in construction risk
management among Kuantan Malaysian construction industries was assessed. Then a
survey was conducted on pilot test among 10 local construction industries in Kuantan
Malaysian, using stratified random sampling, out of which 10 questionnaires were
collected for data analysis. Methodologically, this research is perhaps the first to
study the influence of effective communication on construction risk management
among Kuantan Malaysian construction industries. Using the five point Likert scale
categories of risk management from previous studies. Pearson Correlation anaylysis
output results affirmed that there is a strong positive relationship between effective
communication and construction risk management among Kuantan construction
industries.
This paper assessed the relationship between team competency and design risk
management among Kuantan construction industries. Similarly, a survey was
conducted among 10 local and national construction industries in Kuantan with a
stratified random sampling. The returned questionnaires yielded 10 responses which
was used for data analysis. Five point Likert scale categories of risk management from
the previous studies was used and statistical analysis affirmed that there is positive
relationship between team competency and design risk management among Kuantan
construction industries.
Flood mitigation and assessments are crucial in current time. The seasonal and nonseasonal of flood occurrence in Malaysia provide risk towards country growth and productivity. In this study, the flood pattern will be analysed by using correspondence analysis. The data involve the occurrence of flood based on month and locality from 2013 to 2018. The test of independence (χ2 test) between month and locality indicated independency among the variables (p=0.615). The symmetric plot suggested that Perak, Melaka, Selangor, Johor, Terengganu, Sarawak inclined to have flood occurrence during December to March, while Kedah and Penang during March. This analysis will help authorities to better planning flood mitigation accordingly.
Many nonlinear problems that arise in various science and engineering fields can be
modelled by the Goursat partial differential equations. Modelling these non-linear
problems using the Goursat partial differential equations has not received much
attention especially the theoretical aspect . The proposed scheme of solution is
supported by examining a nonlinear Goursat problem. The verification of the
theoretical results from several series of numerical experiments are discussed. Results
obtained from Taylor series expansion show that the proposed new scheme is
consistent. By using the von Neumann analysis and essence of stability, the proposed
new scheme is found to be unconditionally stable. In addition, the trend of the
numerical results shows that the new scheme is also convergent.
Nowadays, the applications of tracking moving object are commonly used in various
areas especially in computer vision applications. There are many tracking algorithms
have been introduced and they are divided into three groups which are generative
trackers, discriminative trackers and hybrid trackers. One of the methods is TrackingLearning-Detection
(TLD) framework which is an example of the hybrid trackers where
combination between the generative trackers and the discriminative trackers occur. In
TLD, the detector consists of three stages which are patch variance, ensemble classifier
and KNearest Neighbor classifier. In the second stage, the ensemble classifier depends
on simple pixel comparison hence, it is likely fail to offer a better generalization of the
appearances of the target object in the detection process. In this paper, OnlineSequential
Extreme Learning Machine (OS-ELM) was used to replace the ensemble
classifier in the TLD framework. Besides that, different types of Haar-like features were
used for the feature extraction process instead of using raw pixel value as the features.
The objectives of this study are to improve the classifier in the second stage of detector
in TLD framework by using Haar-like features as an input to the classifier and to get a
more generalized detector in TLD framework by using OS-ELM based detector. The
results showed that the proposed method performs better in Pedestrian 1 in terms of
F-measure and also offers good performance in terms of Precision in four out of six
videos.