Green manufacturing (especially the right production scale) and optimization of logistics transportation to ensure economic benefits) have become challenging issues. This paper focuses on planning scheduling dynamic supply chain via H∞ control scheme. considers scale resource complex under impact COVID-19 pandemic.Firstly, information green is collected, a new mathematical model including multi...

but the main arguments hold and hierarchical DRC programs have been replacing flat DRC programs in the market [4]. For hierarchical timing analysis, one set of simplifying assumptions might be that the design contains only one clock, no transparent latches, and no purely combinatorial paths through cells. Starting with the leaf cells, analyze all paths between flip-flops and report any errors, ...

Decision making and technical decision analysis demand computer-aided techniques and therefore more and more support by formal techniques. In recent years fuzzy decision analysis and related techniques gained importance as an efficient method for planning and optimization applications in fields like production planning, financial and economical modeling and forecasting or classification. It is ...

introduction breast cancer is the second cause of mortality among women. early detection of it can enhance the chance of survival. screening systems such as mammography cannot perfectly differentiate between patients and healthy individuals. computer-aided diagnosis can help physicians make a more accurate diagnosis. materials and methods regarding the importance of separating normal and abnorm...

Hierarchical reinforcement learning (RL) is a general framework which studies how to exploit the structure of actions and tasks to accelerate policy learning in large domains. Prior work in hierarchical RL, such as the MAXQ method, has been limited to the discrete-time discounted reward semiMarkov decision process (SMDP) model. This paper generalizes the MAXQ method to continuous-time discounte...

By introducing autonomous or software-controlled systems, human operators are increasingly required to perform cognitive-intensive tasks in addition existing labour-intensive tasks. As a result, it will be more difficult identify roles future complex systems with traditional approaches such as hierarchical task analysis used the conventional HRA. This paper proposes novel systematic approach fo...