Past issues

Welcome to IJLERA! International Journal of Latest Engineering Research and Applications

Volume 07 - Issue 01 (January 2022)


Title:
Optimal control law in the missile stage into the geometric dynamic trajectory of the guidance method
Authors:
Nguyen Van Bang
Source:
International Journal of Latest Engineering Research and Applications, pp 01 - 05, Vol 07 - No. 01, 2022
Abstract:
The arrangement of elements in the remote missile control station is not suitable between the placement of the launcher and the navigation equipment. The distance between them can be up to hundreds of meters. Missile from launch need to be in the field of view of the radar waves wing. At the time of catching the missile signal, the straight deviation can be very large, due to the direction of the speed vector to the meeting point. At that time, the missile may lose control and pass the radar field of view. Therefore, the paper presents the method of synthesizing optimal control law, to ensure put the missile into dynamic trajectory the fastest. Simple control law, can be applied in practice.
Keywords:
Missile, Optimal control law, Geometric dynamic trajectory, Guidance method.
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Title:
Research on Resource Allocation and Task Offloading Algorithms in Mobile Edge Computing Based on Reinforcement Learning
Authors:
Xue Tang, Zhan Wen, Yihan Shi, Xinyuan Zhang
Source:
International Journal of Latest Engineering Research and Applications, pp 06 - 12, Vol 07 - No. 01, 2022
Abstract:
Mobile Edge Computing (MEC) will sink the services located in the cloud computing center to the edge of the mobile network, thereby reducing power consumption and latency. How to allocate services to the server and mobiles to maximize system efficiency is an important issue in MEC. This paper proposes a Resource Allocation and Task Offloading algorithm based on Reinforcement Learning (RATORL) in a multi-user and single server application scenario. It takes the total cost of the user as the final optimization goal. According to the user's task characteristics and server status, the reinforcement learning method was used to optimize the allocation of computing resources and task offloading. The simulation results show the proposed RATORL algorithm can effectively reduce the user's overhead in different system states compared with the traditional algorithms.
Keywords:
Mobile edge computing, Resource allocation, Task offloading, Machine Learning, Reinforcement learning
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Title:
Developing a sustainable manufacturing system based on the Indian FDI manufacturing industry
Authors:
Chinglung Chang
Source:
International Journal of Latest Engineering Research and Applications, pp 13 - 21, Vol 07 - No. 01, 2022
Abstract:
Sustainable development goals (SDGs) are set from the perspective of the country and industry. There is a gap between the SDGs and the corporate social responsibility (CSR) that has been implemented by industries for years. Activities from the manufacturing industry that meet the SDGs are still missing. This study surveys both academic researchers and senior managers in the manufacturing industry in India. It applies analytical hierarchy process analysis and proposes (1) a sustainable manufacturing system (SMS) that is composed of seven constructs with 55 activities that support SDG 2-12 and 41 sustainable targets, (2) ten activities as the initial stage of the SMS that support SDG 2, 3, 4, 6, 8, 9, and 12, and (3) that SMS needs to be implemented to a company’s external environment first, and then within the company, in the sequence of Local community, Enterprise welfare, Enterprise process, Enterprise performance, Enterprise policy, Enterprise human resource, and Enterprise product. By implementing SMS, the gap between the SDGs and CSR can be diminished.
Keywords:
Sustainable development, SDGs, sustainable manufacturing, sustainable manufacturing system, CSR
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