Improving Constructability Analysis Tasks by Applying BIM Technology
نویسندگان
چکیده
منابع مشابه
Improving mobile learning environments by applying mobile agents technology
Availability of high bandwidth infrastructure such as GPRS, 3G and UMTS networks, advances in wireless technologies (Chen and Nahrstedt, 2000; Chiang, et al., 1998; Johnson and Maltz, 1996; Chen and Lai, 2000; Lin and Liu, 1999) and popularity of handheld devices (Microsoft, 2001) provide a new way for education by extending the learning time and space. One important emerging application of han...
متن کاملApplying Agent Technology to Evaluation Tasks in E-learning Environments
The complexity of evaluating e-learning has become an issue that is being addressed by educational developers. A possible solution to part of the problem lies in the use of software agents to extract data from the e-learning software and to organise that data in intelligent ways. A project group (PEDANT) is working on the design and development of pedagogical agents to monitor and evaluate a ra...
متن کاملImproving dynamic software analysis by applying grammar inference principles
Grammar inference is a family of machine learning techniques that aim to infer grammars from a sample of sentences in some (unknown) language. Dynamic analysis is a family of techniques in the domain of software engineering that attempts to infer rules that govern the behaviour of software systems from a sample of executions. Despite their disparate domains, both fields have broadly similar aim...
متن کاملImproving the Analysis of Cognitive Work Tasks
In most vehicle domains within the transportation sector, traffic is increasing and vehicles are becoming more technologically advanced. In addition to this, drivers are faced with conflicting goals, such as punctuality, maintaining safety, minimizing fuel consumption, ensuring passenger comfort, etc. When accidents occur, the drivers’ actions and mishaps are often in focus, even though the wor...
متن کاملImproving Translation Models by Applying Asymmetric Learning
The statistical Machine Translation Model has two components: a language model and a translation model. This paper describes how to improve the quality of the translation model by using the common word pairs extracted by two asymmetric learning approaches. One set of word pairs is extracted by Viterbi alignment using a translation model, the other set is extracted by Viterbi alignment using ano...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Korean Journal of Construction Engineering and Management
سال: 2010
ISSN: 2005-6095
DOI: 10.6106/kjcem.2010.11.2.137