Do you remember the awkwardness I felt when I first took charge of an automation project? With a limited budget and unclear customer requirements, the marketing hype from various PLC brands left me bewildered. It felt like stepping into an electronics market to buy a phone, only to be overwhelmed by a myriad of specifications … Read more
In PLC programming, there are various flow control structures used to organize code, implement logical functions, and decision-making processes. When using ST (Structured Text), a programming language defined by the IEC 61131-3 standard, we can utilize control structures similar to those in high-level programming languages. Below are some commonly used flow control structures in ST … Read more
Chen Chuan Central Party School of the Communist Party of China (National Academy of Governance) Department of Social and Ecological Civilization Research Associate Professor Li Xiaoman Capital University of Economics and Business School of Labor Economics Associate Professor Decision-Making Alternatives of Artificial Intelligence and Social Buffering — A Case Study of X Intelligent Power Plant … Read more
This article was published in Command Control and Simulation, 2024, Issue 6. Li Wei, Xie Haibin, Chen Shaofei. AI Empowered Combat Systems Under Agent Perspective[J]. Command Control and Simulation. 2024, 46(6): 8-14. Abstract: This paper addresses the issue of intelligent design in combat systems by proposing a conceptual framework and application methods for AI technology … Read more
Introduction The autonomous driving system is a comprehensive system integrating functions such as environmental perception, decision-making control, and action execution. It is a system that fully considers the coordination planning between vehicles and the traffic environment, and it is also an important component of future intelligent transportation systems. This article focuses on analyzing the relevant … Read more
As machine learning and embedded systems become increasingly important in today’s society, many people are beginning to explore the use of machine learning in embedded systems. This approach can overcome many challenges that may arise when using traditional machine learning. This article will introduce some advantages of this approach. Cost Savings Bring New Opportunities Many … Read more