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    Design phase of gamification framework for hazard identification training in construction industry

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    Game has been proven an effective approach tool to improve learning and has become a new tool for training delivery. The development of the gamification framework involves integrating design processes which are input, process, and output. The design phase is considered essential to guide the flow of the gamification framework. It offers a safer, interactive, and entertaining learning environment for construction-related workers. This paper aims to report on the approach to design a gamification framework for hazard identification training in Construction using Garris’s Input-Process-Outcome game model as the basis. It focuses on the three main design elements: instructional design, game characteristic, and user characteristic. The study outlines two objectives: (1) to identify the game’s attributes and Gagne’s Nine Events Instructional Methods Design which supports effective learning, and (2) to determine the user’s characteristics of self-directed learning. This study focused on designing the Design phase, which consists of instructional design, game characteristics and user characteristics. Mixed methods were used to extract the attributes and elements of the Design phase. Content analysis was carried out to determine the instructional design model and game attributes, 12 attributes have been identified, and Gagne’s Nine Events Instructional Methods Design can support effective learning. Meanwhile, a questionnaire survey is used to determine the user’s self-directed learning and decision-making style, where 319 construction-related workers responded. The results showed that construction-related workers belong to the independent learners’ category and are inclined to ‘vigilant’ and ‘brooding’ types of decision-making style. Following the aim of this paper, these findings were incorporated into the design phase of the game framework

    The effect of socio-demographic attributes on walking behaviour of residents in Shah Alam City, Malaysia

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    Walking is the most common form of physical activity people engages in. However, people walk for different purposes, which most times are influenced by environmental, and socio-economic factors operational within a particular setting. Literature on walking behaviour is dominated by physical environment factors with little mention of socio-demographic factors. Therefore, this study examined the influence of socio-demographic attributes on two categories of walking behaviour: the utilitarian and recreational walking. Through an online survey, 320 copies of the questionnaire were purposefully administered to adults of 18 years old and above in Shah Alam City, Malaysia. A multiple linear regression analysis technique was adopted in identifying the predictors (sociodemographic attributes) that significantly influenced the utilitarian and recreational walking behaviour of respondents. Findings revealed that monthly income (ß=-.350, p<0.05), educational qualification (ß=.187, p<0.05), and age (ß=-.126, p<0.05) have a negative association with utilitarian walking. In contrast, educational qualification (ß=.295, p<0.05) and age (ß= .240, p<0.05) have a positive association with recreational walking. The findings also revealed that male respondents engaged more in recreational walking while the unmarried walking behaviour varied. Thus, in formulating policies and actions that promote walking, the identified differences in walking behaviour of various groups must be taken into consideration

    A comparative review: distance decay in urban and rural tourism

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    This paper reviews the literature on distance decay in urban and rural tourism. Through a systematic literature review, this paper aims to understand the current state of knowledge regarding distance decay in tourism including (1) reveal the main topics and domains, (2) variables applied in past studies, while simultaneously distinguishing them in the form of urban and rural tourism as well as (3) identify potential areas and gaps for future studies. The findings indicate a growing interest among tourism researchers to examine distance decay, with studies predominantly focusing more on urban tourism than rural tourism. Additionally, this review recommends future studies to investigate distance decay in crisis and disaster management for future study regardless of urban or rural tourism settings

    The relationships between academic motivation and academic performance of first-year chemical engineering students

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    Academic motivation is linked to benefits in terms of learning effectiveness. This study investigated motivation of pursuing an engineering degree among first year chemical process engineering students. Forty-six students (n=46) who were in their first week of study completed a self-administered online questionnaire, that is the Academic Motivation Scale (AMS). The results showed that students had higher intrinsic motivation, higher extrinsic motivation and lower amotivation upon enrolling into the degree. Next, students' academic performance in the first semester was collected. Correlations between motivation and academic performance were studied. The results indicate that extrinsic motivation is correlated significantly with academic performance. Recommendations were made to improve teaching and learning effectiveness, using the Self-Determination Theory perspective

    Effect of roof garden weight on the seismic fragility of relatively tall concrete wall buildings

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    In line with rapid urbanization and the urgent need for the development of Malaysia, the number of tall buildings in this country has increased drastically over the past decades. However, most of the existing structures have not been designed for earthquake resistance. Therefore, this study focused on the analytical derivation of seismic fragility curves for concrete wall buildings with a roof garden. Two 25-story residential high-rise buildings with a similar architectural plan and number of stories but with different parking levels were subjected to 15 far-field earthquake records. Pushover and incremental dynamic analyses were employed to estimate the inter-story drift capacities and demands. A comparison between the results obtained from this study and those presented by other researchers showed that the additional mass of the roof garden significantly increased the probability of collapse, however, it had an insignificant impact on the probability of exceeding minor damage

    Success factors in developing metacognitive skills among engineering students

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    Metacognitive skills are recognized to aid in the regulation of learning and problem-solving. To acquire metacognitive skills, constructivist learning approaches such as Cooperative Problem Based Learning (CPBL) are reported to address the development of the required skills. In this study, the focus is given on examining the metacognitive skills development in CPBL teaching and learning. The CPBL arises from the integration of principles of cooperative learning into problem-based learning. The implementation of CPBL for engineering students is aimed at systematic scaffolding through enculturating metacognitive skills. The purpose of this research is to investigate what are the factors that contribute to metacognitive skills development among engineering students. The study was conducted on six first-year students which enrolled in Introduction to Engineering (ITE) course for chemical engineering undergraduate degree using semi-structured interviews. The success factors identified in this study are vision as engineers, effort, and motivation. From these findings, the factors discussed were key to engage the students with the learning process in CPBL. It will illustrate the significance of the CPBL activities and the influence of these activities on the development of engineering students' metacognitive skills

    Intelligent model for endpoint accelerations of two link flexible manipulator using a deep learning neural network

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    This article investigates a two-link flexible manipulator (TLFM) that can be modelled utilizing a deep learning neural network. The system was classified under a multiple-input multiple-output (MIMO) system. In the modelling stage of this study, the TLFM dynamic models were divided into single-input single-output (SISO) models. Since coupling impact was assumed to be minimised, the characterizations of TLFM were defined independently in each model. Two discrete SISO models of a flexible two link manipulator were developed using the torque input and the endpoint accelerations of each link. The input-output data pairs were collected from experimental work and utilised to establish the system model. The Long Short-Term Memory (LSTM) algorithm optimised using Particle Swarm Optimization (PSO) was selected as the model structure due to the system's high degree of nonlinearity. The identification of the TLFM system utilizing LSTM optimised by PSO was successful, according to the high-performance result of PSO. Using LSTM-PSO, it is demonstrated that both link 1 and 2 models are accurately identified and that their performance in terms of MSE for links endpoint acceleration 1 and 2 is within a 95% confidence interval

    AlCrN coated WC by PVD at various deposition temperatures

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    An attempt is made in this work to improve the performance and tool life of the tungsten carbide (WC) coated aluminium chromium nitride (AlCrN) via physical vapor deposition (PVD) method. Various deposition temperatures ranging from 250, 350, 400, and 450o C were investigated to evaluate the characteristic of coated carbide. Prior to the deposition process, WC surfaces were treated in Murakami’s solution for 15 minutes followed by Caro’s solution for 10 seconds to improve the coating adhesion on WC by the dissolution of cobalt (C); roughened the carbide surface. The thickness of the coated AlCrN increases proportional with higher deposition temperatures (from 1.14 μm to 2.18 μm) and homogenously coated. While XRD analysis observed the presence of AlN and CrN phases attributed to AlCrN coating. The hardness of the coated carbide was highest at 450o C deposition temperature (1325 HV). The qualitative scratch test following ASTM D 3363 indicated that higher temperature (400o C and above) provides good adhesion characteristics between AlCrN coating and WC

    Hub angle control of flexible manipulator based on bacterial foraging optimization

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    Flexible manipulator offers industry with less material requirement, lighter in weight thus transportable, consuming less power, require smaller actuators, less control complexity while being able to operate in higher payload to weight. But, due to high flexibility of the flexible manipulator, excessive vibration can be found if the system is implemented. This study aims to simulate an accurate model system using system identification (SI) technique via Bacterial Foraging Optimization (BFO) for control of the hub angle of the flexible manipulator system in simulation environment. It is vital to model the system that represents actual characteristics of the flexible manipulator before precisely control the hub angle of the flexible manipulator’s movement. The experimental data obtained from the flexible manipulator system’s hub are utilised to construct a model of the system using an auto-regressive with exogenous (ARX) structure. Bacterial Foraging Optimization (BFO) is used to develop the modelling by SI technique to obtain the mathematical models. The generated model’s performance is assessed using three methods: minimum mean square error (MSE), correlation tests, and stability test in pole-zero diagram. The model of hub angle constructed using BFO has a minimum mean square error of 1.9694,10-5, a high degree of stability, and strong correlation tests. The model of hub angle constructed using BFO has a minimum mean square error of 1.9694,10-5, a high degree of stability, and strong correlation results. Following that, a PID controller is designed and heuristically tuned to provide accurate hub angle positioning with a short settling time using the BFO model. It is also worth noting that BFO’s model successfully regulated the hub angle’s positioning with a 0.8% overshoot and a 0.5242 s settling time in the presence of single disturbances

    Design and characterization substrate integrated waveguide antenna for WBANS application

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    Millimetre-wave frequencies are defined as one of the front-runner contenders for body-centric wireless communication. In this study, low-profile antenna with the substrate integrated waveguide (SIW) has been proposed that operate in the band of the millimetre-wave frequency that has been centred at 60 GHz. The proposed antenna has been implemented with the use of the FR4 substrate with er and tangent loss of 4.3 and 0.025, respectively. The substrate height and size are 1.5875 mm and 20 mm x 20 mm, respectively. The performance of the antenna is evaluated in off-body (free space) and on-body (human voxel model), through simulation. The proposed antenna has an ultra-wideband (UWB) and a specific absorption rate the maximal (SAR) for (10 g) is 0.0344815 W/kg and for (1 g) is 0.0184723 W/kg. It achieves 74% and 63% efficiency in the off and on-body scenario, respectively. The small antenna with the exceptional matching of impedance, low SAR, broad bandwidth, and good efficiency, a good voltage standing wave ratio good (VSWR), and good front-to-back ratio (FBR). As a result, its characteristics make it one of the best potential candidates for the simultaneous transmission and reception of data at (mm-wave) band for WBAN applications

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