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All Journal International Journal of Engineering, Science and Information Technology Journal of the Community Development in Asia
Mishra, Nidhi
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Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences Transportation

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What Drives the Success of a Business Entity or An Organization? A Case Study of Mydin Mohamed Holdings Berhad Binti Zaihan, Erin Ereena; Kee, Daisy Mui Hung; Binti Zarimi, Auni Zafira; Binti Kamrol Hisham, Aina Natasha; Bin Eshaq, Awadh Sahal Awadh; Alkandri, Abdulaziz; Mishra, Nidhi
Journal of The Community Development in Asia Vol 3, No 2 (2020): May 2020
Publisher : AIBPM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32535/jcda.v3i2.809

Abstract

Mydin, a company that transforms from a small family business to emporium and it is now the largest wholesaler in Malaysia. Mydin sell local and overseas products at affordable prices and cater to a large segment of the Malaysian population. In the hypermarket industry, having the right technology is the key that allows a business to grow, make profit, and successfully compete in the market. Mydin has to provide its products at the right time and at the best price to their customers, whilst ensuring excellent service. Getting information to people at the right time is as crucial. Mydin’s top priority is to ensure the consistency of flow of communication in their supply chain network, from the suppliers, to logistics and warehouse, to the ground staff and management team. Also, Mydin is a wholesaler that meet all consumers’ demand in one building that certainly save their time.
Soft Robotics with Quantum-Driven Electronic Neural Networks Rahman, F.; Mishra, Nidhi; Bansal, Bhumika
International Journal of Engineering, Science and Information Technology Vol 5, No 2 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i2.1391

Abstract

Although this field attracts lots of attention, conventional control mechanisms of Soft Robotics are still restricted in real-time decision making, learning efficiency, and energy consumption. This research further strengthens soft robotic intelligence to present a novel Quantum Driven Electronic Neural Network (QD-ENN) framework based on Design of Reservoir Computing (QRC) to be used for development of Brain of the Offspring (BO) and contextual entangled processing (CEPT) nodes. Quantum superposition and entanglement make it intrinsically superior to sensorimotor learning, low power computation, and rapid adaptation of the sensorimotor interaction in an unstructured environment. Compared with classical deep learning methods that require huge quantities of training and computations to learn, the proposed system solves real-time control problem and changes morphologies of soft actuators dynamically using quantum inspired neural plasticity. Based on the design of the architecture, which is implemented for neuromorphic processing using memristor electronic synapses and based on quantum circuits to help with reinforcement learning, the architecture designed employs quantum circuits and memristor electronic synapses. Experimental evaluations also demonstrate excellent speed up in terms of learning speed, decision accuracy and energy efficiency compared to the traditional AI-driven soft robotic controllers. Based on this work, future research on quantum neuromorphic architectures in robotics follows by building semiconductor hardware towards self-learning robotics of exceptionally dynamical and unpredictable nature.
Co-Authors Alkandri, Abdulaziz Bansal, Bhumika Bin Eshaq, Awadh Sahal Awadh Binti Kamrol Hisham, Aina Natasha Binti Zaihan, Erin Ereena Binti Zarimi, Auni Zafira Kee, Daisy Mui Hung Rahman, F.