Academy in Factory (AiF) was recently introduced in Malaysia to cater to the talent development and education attainment for a future-ready workforce. Though ideally expected to be an effective initiative, a lack of a strong curriculum framework hinders its implementation. To date the literature on AiF is very limited. It was found that its vague definition and characteristics, non-harmonised interaction between industry and academia, and non-existing curriculum framework are among contributing factors to its ineffective implementation. Thus, this study is aimed at reshaping a curriculum framework that is responsive to its aims and objectives. Building upon an extensive review of literature on AiF, industry-based curriculum, employability and human capital development, and best practices in the international context, the proposed framework is hoped to serve as a reference to improve its current practice.
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http://dx.doi.org/10.3389/fpsyg.2023.1120611 | DOI Listing |
Sensors (Basel)
December 2024
Department of Information Technology, College of Computers and Information Technology, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia.
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View Article and Find Full Text PDFSensors (Basel)
December 2024
Department of Electrical and Computer Engineering, Inha University, Incheon 22212, Republic of Korea.
Several approaches have been developed to generate synthetic object points using real LiDAR point cloud data for advanced driver-assistance system (ADAS) applications. The synthetic object points generated from a scene (both the near and distant objects) are essential for several ADAS tasks. However, generating points from distant objects using sparse LiDAR data with precision is still a challenging task.
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December 2024
School of Mechanical Engineering and Automation, Foshan University, Foshan 528225, China.
Inspection robots, which improve hazard identification and enhance safety management, play a vital role in the examination of high-risk environments in many fields, such as power distribution, petrochemical, and new energy battery factories. Currently, the position precision of the robots is a major barrier to their broad application. Exact kinematic model and control system of the robots is required to improve their location accuracy during movement on the unstructured surfaces.
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December 2024
CERN, Esplanade des Particules 1, 1217 Meyrin, Switzerland.
Device simulation plays a crucial role in complementing experimental device characterisation by enabling deeper understanding of internal physical processes. However, for simulations to be trusted, experimental validation is essential to confirm the accuracy of the conclusions drawn. In the framework of semiconductor detector characterisation, one powerful tool for such validation is the Two Photon Absorption-Transient Current Technique (TPA-TCT), which allows for highly precise, three-dimensional spatially-resolved characterisation of semiconductor detectors.
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December 2024
College of Automotive Engineering, the National Key Laboratory of Automotive Chassis Integration and Bionics, Jilin University, Changchun 130025, China.
The shared control system has been a key technology framework and trend, with its advantages in overcoming the performance shortage of safety and comfort in automated vehicles. Understanding human drivers' driving capabilities and styles is the key to improving system performance, in particular, the acceptance by and adaption of shared control vehicles to human drivers. In this research, personalized shared control considering drivers' main human factors is proposed.
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