This paper describes the functionality and software architecture of a generic problem-solving environment (PSE) for collaborative computational science and engineering. The PSE is designed to provide transparent access to heterogeneous distributed computing resources, and is intended to enhance research productivity by making it easier to construct, run, and analyze the results of computer simu...

Optimisation under uncertainty has always been a focal point within the Process Systems Engineering (PSE) research agenda. In particular, efficient manipulation of large amount data for uncertain parameters constitutes crucial condition effectively tackling stochastic programming problems. this context, work proposes new data-driven Mixed-Integer Linear Programming (MILP) model Distribution & M...

This work presents a novel systematic approach for the construction of domain ontologies. The suggested approach uses a semi-automatic construction methodology. For this study, parent-child concept pairs are taken from a previous work. Novel contributions include building and completing branches, introducing new relations, and resolving inconsistencies and contradictions. For the process system...

Purpose: Life cycle assessment (LCA) methodology is a well-established analytical method to quantify environmental impacts, which has been mainly applied to products. However, recent literature would suggest that it has also the potential as an analysis and design tool for processes, and stresses that one of the biggest challenges of this decade in the field of process systems engineering (PSE)...

A problem-solving environment (PSE) for a distributed high-performance computing (HPC) is proposed to help users to work on distributed computer environment. When users access and use distributed computers for scientific computations, the PSE tells users which computers are available and appropriate for their specific application software by using hardware and software informations specified. T...

This paper focuses on a special kind of corporate computing systems which we call process supporting environments (PSE). PSEs are CSCW applications guiding or even automating (parts of) business processes. Two different research communities are working on PSEs, namely the software process (SP) community on the one hand and the workflow management (WFM) community on the other hand. Both try to s...

Following the common use of of commodity hardware to build clusters, we argue that commodity software should be harnessed in a similar way to support Scientiic and Engineering work. Problem Solving Environments (PSE) provide the arena where commodity software technology can modernise the development and execution environment. We describe a PSE prototype based on the standard software infrastruc...

Biobased slurry processes and large-scale continuous chemical production share many similarities. These concern not only process technologies equipment but also staffing (positions/educations) plant operations, including methods for planning, scheduling, control. Process Systems Engineering (PSE) approaches have been applied successfully in to optimize of high complexity. By replacing rules-of-...

The organization and quantity of myosin irrigation into myosin-free “ghost” fibers were compared between normal and PSE myosin. Considerable amounts of myosin were incorporated into the “ghost” fibers for both normal and PSE myosin. Elec t ron microscopic s tudy showed tha t the myosin f i laments were formed a l l over the thin filaments after the irrigation. However, there was almost no diffe...