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"An effective and real-time traffic information network is highly important and could contribute to decreasing traffic volume and costs by reducing fuel consumption and saving time for drivers in reaching their destinations. This study provides an extensive analysis regarding the drivers? acceptance levels of the current implementation of the Intelligent Transport System (ITS) in Kuala Lumpur. A proposed model from the literature review based on the known Technology Acceptance Model (TAM) is introduced. The ITS system characteristics, information quality, system quality, and service quality were investigated as external variables. The resulting analysis showed that information quality is the highest influential factor followed by system quality. The results also revealed that service quality had no effect on acceptance levels."

"An effective and real-time traffic information network is highly important and could contribute to decreasing traffic volume and costs by reducing fuel consumption and saving time for drivers in reaching their destinations. This study provides an extensive analysis regarding the drivers’ acceptance levels of the current implementation of the Intelligent Transport System (ITS) in Kuala Lumpur. A proposed model from the literature review based on the known Technology Acceptance Model (TAM) is introduced. The ITS system characteristics, information quality, system quality, and service quality were investigated as external variables. The resulting analysis showed that information quality is the highest influential factor followed by system quality. The results also revealed that service quality had no effect on acceptance levels."

"The choice among modes of intercity transport depends on conditions of not only intercity transport modes but also intracity transport in both the departure city and the arrival city. Intracity transport conditions might be advantageous for one intercity mode and disadvantageous for others. Intercity and intracity transport conditions are complex and need to be approached systemically. This study proposes an approach based on the passengers? preferences. The logit model was adapted to evaluate the transport modes? choices in competition. This model is called the ?Adapted Mixed Multinomial Logit Model? (AMML). It was applied on the Jakarta-Bandung corridor in both directions. It contributes to a complete approach for intercity transport mode choice by considering the influence of the intracity transport conditions in both the departure and arrival cities. The results proved that the choice of intercity transport mode depends not only on its own quality of service but also, importantly, on that of the intracity transport systems."

"End-of-life Vehicle(ELV) recovery is a promising strategy to minimize the environmental impact ofautomotives on environmental sustainability. This study aims to assess thecommunity?s knowledge from a socio-technical perspective on ELV. A survey wasconducted in Japan and Malaysia to assess public perception on ELV recovery.The results showed that the communities in both countries have basic knowledgeand a reasonably good level of awareness on environmental issues and recoverystrategies such as recycling. However, there is a high level of uncertainty onthe concept of ELV reuse and remanufacturing, as more than 50% of respondentswere unsure of their willingness to participate in ELV initiatives. Therespondents agreed that the industry and government should take the necessarysteps to support the reuse strategy. The paper concludes with suggestions froma socio-technical perspective, which aim to ensure an effective implementationof ELV recovery through reuse and remanufacturing."

"Telecommunication technology is very fast developing.One of them is mobile phone technology.The question is how to detect mobile phone position when it is used,especially in emergency....."

"The routine dailyactivities that tend to be sedentary and repetitive may cause severe healthproblems. This issue has encouraged researchers to design a system to detectand record people activities in real time and thus encourage them to do morephysical exercise. By utilizing sensors embedded in a smartphone, many researchstudies have been conducted to try to recognize user activity. The most commonsensors used for this purpose are accelerometers and gyroscopes; however, wefound out that a gravity sensor has significant potential to be utilized aswell. In this paper, we propose a novel method to recognize activities usingthe combination of an accelerometer and gravity sensor. We design a simplehierarchical system with the purpose of developing a more energy efficientapplication to be implemented in smartphones. We achieved an average of 95% forthe activity recognition accuracy, and we also succeed at proving that our workis more energy efficient compared to other works."

"In any heterogeneous system, porting reconfigurable computing is often a highperformance platform for a broad range of computationally challenging issues.However, efficiently utilizing the maximum potential of these reconfigurablesystems is a difficult job without understanding their performancecharacteristics. This work proposes an analytic performance model using PetriNets (PN) for a Reconfigurable OR1200 (ROR1200) soft-core processor with modelvalidation and verifications. By modeling the ROR1200 system using Petri Nets,both behavioral and structural properties existing in parallel systems wereanalyzed. The Bound Level Analysis with respect to the dependency level of datais also performed on Soft Core Processors (SCP) like the ROR1200, the OR1200and the MicroBlaze."

"Avacuum drying system is being designed and developed at National Institute ofVacuum Science & Technology (NINVAST) to dry various materials under vacuumconditions. Its performance and capabilities are tested by carrying outdifferent experiments on green (freshly cut) wood samples of Poplar andEucalyptus with dimensions of 990.6 mm x 76.2 mm x 25.4 mm and 469.9 mm x 50.8mm x 25.4 mm, respectively. These samples were dried from green moisturecontent (MC) 78% to 10% by this system at ultimate vacuum of about 1.6 x 103pascal and at a temperature ranging from 35oC to 55oC forabout 20 hrs. Drying quality tests included: prong test, warp measurement,surface checking and moisture content measurement, which were all performed.The resulting wood samples showed no dislocation and no excessive stressbuildup. If compared to ordinary drying process, the vacuum drying is rapid andthe drying rate increases with rise in temperature. The designed system isbeneficial for commercial use."

"A mechanical assembly consists of several components to perform an intended function. At the design stage, the intended function must be converted into critical product dimensions. After determining the dimensions, a designer must determine the assembly tolerance and allocate this tolerance to the tolerances of the corresponding components. After determining the optimal tolerances, process selection must be conducted along with production allocation to the selected process. There are three aspects in commercial competition that must be considered by a manufacturing company: cost, quality, and delivery. The aim of this research is to develop an optimization model for process selection for a make to order company to minimize manufacturing cost, quality loss, and lateness cost. The model attempts to determine optimal tolerance and production allocation, which takes into consideration the production capacity and process sequence. Hence, the model attempts to include not only the product design decision, but also to solve the process selection and allocation problems. A numerical example is provided to show the implementation of the model."

"Inthis study, a fuzzy-based expert system called the Pain Intensity PredictionExpert System (PIPES) was developed to predict pain severity risk (PSR) inshoveling-related tasks. The primary objective was to develop a non-changing rating risk assessment ergonomicstool that both efficientand comparable with those obtained from human ergonomics experts in the fieldof application. PIPES used fuzzy settheory (FST) to make decisions about the level of pain associated with aselected worker base on the measured task variables, namely scooping rate, scooping time, shovel load, andthrow distance as input and PSR as the result. Values obtained from variable measurements from a sand shoveling taskwere run with PIPES, and the results were compared with the workers?self-reported pain (WSRP) intensity using a numeric rating scale (NRS) tool. The result of validation showed that there was astrong positive relationship between WSRP NRS and PIPES NRS, with a correlationcoefficient of 0.70. The independent sample t-test for mean difference showed that WSRP had a statistically significantly lower level of NRS (4.35 ± 2.1)compared to PIPES (4.75 ± 2.2), t (38) = - 0.591, p = 0.558. With asignificance level of 0.001 at 95% confidence, the groups? means were notsignificantly different. The study developed an expert system, PIPES, which can be used as a computerizedrepresentation of ergonomics experts, who are scarce. PIPES can be applied to construction industries, sand mine locations,and any workplace where materials are manually moved using a shovel."