For the prevention and control of newly emergent or sudden infectious diseases, we built an on-site, modularized prevention and control system and tested the equipment by using the clustering analysis method. On the basis of this system, we propose a modular equipment allocation method and 4 applications of this method for different types of infectious disease prevention and control. This will ...

The process of metallurgical equipment information space is complex and diverse, including multi-level spatial information or spatial process factor. How to divide the metallurgical equipment information space, to plan its communication path intelligently and to enhance the level of intelligent equipment has become one of the metallurgical equipment systems’ problems needing to be resolved. Aim...

Traffic signals are one of the vital control elements of traffic management and control systems under purview of Departments of Transportation (DOTs) nationwide. They directly affect mobility, safety, and environmental parameters of the transportation networks. Traffic engineers in DOTs often face pressure for extracting additional benefits from existing signal control equipment, influenced by ...

As microelectronics device feature sizes continue to shrink and wafers continue to increase in size, it is necessary to have tighter tolerances during the fabrication process to maintain high yields. Feedback control has, therefore, become an important issue in plasma processing equipment design. Comprehensive plasma equipment models linked to control algorithms would greatly aid in the investi...

The success of automotive test campaigns is determined by the quality of the established test management, the used test systems and the actual testing activities. With the growing complexity of present E/E vehicle architectures, these tasks have become a real challenge, and therefore, appropriate methods and tools to handle this complexity are a key component in ensuring E/E quality. In this pr...

A control strategy is developed for a 3-dimensional overhead crane. Using the differential flatness of the crane and a parameterization method, we first calculate the optimal trajectory of the payload that results in minimum transfer time when there exist obstacles in the direct moving path. A learning algorithm is then used to generate the desired feed forward input signal that can drive the s...