![]() ![]() Traditionally, the name Mahr stands for industrial metrology, for quality and for innovation. ![]() Our solutions speak the language of expert k nowledge, q uality and sustainabil ity since 1 86 1.Ĭompany Profile Mahr is a middle-sized globally operating corporation. Metrology from Mahr solves the most various measuring tasks such as fuel injection systems of motors, the smallest workpieces of the clock and watch industry or artificial lenses for eyes. ![]() Our know-how creates customer benefits: In the automotive industry and mechanical engineering as well as in precision mechanics, plastics or medical technology. Mahr products have been used in many branches for a long time. We implement this knowledge in order to support you as well as possible in solving your tasks. MarSurf PS1/M300 Explorer software for recording measurements Technical data. The Software PS1 M300 Explorer can be used to secure and document your measuring results and profiles (simply use Drag & Drop). ![]() From MarSurf PS1 V1.01 onwards, the 'MarSurf PS1 Explorer' software (see Section 10) enables records of the profiles and measuring results to be saved and printed. Stroke bearings as construction elements. Use the PS1-Explorer software by connecting PS1. #Marsurf ps1 explorer software construction licenseSeries Title : Lecture Notes in Electrical EngineeringĮBook Packages : Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)Ĭopyright Information : The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.Mahr offers MarSurf PS1 Mobile Roughness Measuring Unit. Razman, Ahmad Shahrizan Abdul Ghani, Muhammad Aizzat Zakaria, Wan Hasbullah Mohd. Khairuddin, Muhammad Amirul Abdullah, Ahmad Fakhri Ab. He has recently been appointed as an affiliate member to the Young Scientist Network, Academy of Sciences Malaysia (YSN-ASM).īook Title : Enabling Industry 4.0 through Advances in Mechatronicsīook Subtitle : Selected Articles from iM3F 2021, MalaysiaĮditors : Ismail Mohd. He has also served as a guest editor for SN Applied Sciences as well as an editor for several Springer book series. He serves as a reviewer in a number of prolific journals such as IEEE Access, Frontiers in Bioengineering and Biotechnology, PeerJ Computer Science, SN Applied Sciences, Applied Computing and Informatics, among others. Anwar has authored over 60 papers in different journals, conference proceedings as well as books. His research interest includes rehabilitation robotics, computational mechanics, applied mechanics, sports engineering, renewable and nuclear energy, sports performance analysis as well as machine learning. He is an active research member at the Innovative Manufacturing, Mechatronics and Sports Laboratory (iMAMS), UMP. He is currently serving as a senior lecturer at the Faculty of Manufacturing and Mechatronics Engineering Technology, UMP. Anwar is a chartered engineer (CEng) with the Institution of Mechanical Engineering (IMechE), UK. in Rehabilitation Robotics from the Universiti Malaysia Pahang (UMP). in Nuclear Engineering from Imperial College London, UK. in Mechanical Engineering from Universiti Teknologi MARA (UiTM), Malaysia. Abdul Majeed graduated with a first-class honors B.Eng. He also had been appointed as an editor for Lecture Notes in Electrical Engineering 678 Embracing Industry 4.0 - Selected Articles from MUCET 2019 and Lecture Notes in Mechanical Engineering RITA 2018: Proceedings of the 6th International Conference on Robot Intelligence Technology and Applications and as a guest editor for SN Applied Sciences Topical Collection: Engineering - Recent Trends in Electrical & Electronics Engineering.Īnwar P.P. He had been appointed as a reviewer for the Malaysian Technical Universities Conference on Engineering and Technology (MUCET) 2019, The International Conference of Robotics Intelligence and Applications (RiTA) 2018, Malaysian Journal of Movement, Health & Exercise, and SN Applied Sciences Journal. He is currently involved in wafer defect detection research in collaboration with Ideal Vision Integration Sdn Bhd and Dzuki Consultancy and Training. His research interest includes machine learning, robotics, robotic vision, and sports engineering. Prior to that, he completed his Master's Degree at UMP and Diplom(FH) at Hochschule Karlsruhe, Germany. (FH) Jessnor Arif Mat Jizat is a researcher at Innovative Manufacturing, Mechatronics & Sports Laboratory, Faculty of Manufacturing and Mechatronic Engineering Technology in Universiti Malaysia Pahang (UMP). ![]()
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