Human performance plays an important role in system performance and is influenced by a wide set of internal, organizational, and environmental factors. Human–robot systems are being developed for a large number of domains, including in-home care, military deployments, emergency response, industrial robots, and therapeutic applications. Human performance modeling provides the opportunity to inve...

The adoption of building information modeling (BIM) is increasing in the construction industry. However, quantity surveyors are slow in adoption compared to other professions due to lack of awareness of the BIM’s potential in their profession. It is still unclear on how BIM application can enhance quantity surveyors’ work performance and project performance. The aim of this research is to ident...

This study presents a statistical downscaling (SD) method for high-altitude, glaciated mountain ranges. The SD method uses an a priori selection strategy of the predictor (i.e., predictor selection without data analysis). In the SD model validation, emphasis is put on appropriately considering the pitfalls of short observational data records that are typical of high mountains. An application ex...

Reuse-based software development provides an opportunity for better quality and increased productivity in the software products. One of the most critical aspects of the quality of a software system is its performance. The systematic application of software performance engineering techniques throughout the development process can help to identify design alternatives that preserve desirable quali...

Human performance in Chinese character handwriting recognizers is critical to the satisfaction and acceptance of their users. Based on Teal’s [CHI’92 (1992) p. 295] interactive model, a static model describing the independent factors in determining the task completion time was set up with a simple mathematical inference; in addition, a dynamic model describing these factors’ direct and indirect...

In regression applications, there is no single algorithm which performs well with all data since the performance of an algorithm depends on the dataset used. In practice, different algorithms / approaches are tried, and the best one is selected in each application. It is meaningful to ask whether there is a different way instead of running such tedious experiments. In meta learning studies, one...

Predicting the effectiveness of user interfaces at the design stage has been extensively explored for the traditional computer workstation and the expert user. Various analytical tools, such as CogTools apply the Keystroke Level Model (KLM) approach to evaluate software designs for efficiency prior to development. The mobile platform presents additional input paths and resource constraints not ...

In this paper, we study the performance of FDDI networks in t e rms of their guarantee probability, i . e . , the probability that a set of synchronous messages are guaranteed t o meet their deadlines. Traditional techniques such as queuing analysis cannot be directly used t o derive the guarantee probability. To coun.ter this problem, we develop a new geometric model of schedulability. Based o...

Abstract. Performance predictions based on design documents aim at improving the quality of software architectures. In component-based architectures, it is difficult to specify the performance of individual components, because it depends on the deployment context of a component, which may be unknown to its developers. The way components are used influences the perceived performance, but most pe...

Computer aided design and computer aided modeling tools are becoming increasingly important in the design and performance evaluation of communication systems. In this work, we report on the computer simulation modeling study of terrestrial digital microwave radio transmission, using Block Oriented System Simulator package (BOSS). The work concentrates on semi-analytical error rate evaluation in...