Taking environmental engineering out of the laboratory

Environmental engineering is a core component of most construction and surveying undergraduate courses. It is generally accepted that students on these courses should have an understanding of thermal comfort, heat transfer, condensation, lighting, noise transmission and acoustics. Experiments are essential in developing students’ awareness and understanding of the underlying physical concepts which drive environmental engineering solutions. Traditionally these experiments have been conducted by students working in small groups in laboratories. However, increasing student numbers and, in particular, the growth in part time study, have placed significant additional demands on limited laboratory resources. The availability of reasonably priced, simple, hand-held equipment has made it possible for students to conduct experiments outside the confines of the laboratory. Furthermore, various professional software packages (some of which are freely available online) enable the resultant data to be further developed and analysed in conjunction with the conventional textbook approach. This paper examines these alternative approaches to the traditional laboratory experiment. An assessment is provided of the types of experiment which are both possible and appropriate, and the efficacy of these approaches is considered.

Methods, Models & Systems for Dealing with Some Business, Management & Engineering Problems

This keynote presentation will report some of our research work and experience on the development and applications of relevant methods, models, systems and simulation techniques in support of different types and various levels of decision making for business, management and engineering. In particular, the following topics will be covered. Modelling, multi-agent-based simulation and analysis of the allocation management of carbon dioxide emission permits in China (Nanfeng Liu & Shuliang Li Agent-based simulation of the dynamic evolution of enterprise carbon assets (Yin Zeng & Shuliang Li) A framework & system for extracting and representing project knowledge contexts using topic models and dynamic knowledge maps: a big data perspective (Jin Xu, Zheng Li, Shuliang Li & Yanyan Zhang) Open innovation: intelligent model, social media & complex adaptive system simulation (Shuliang Li & Jim Zheng Li) A framework, model and software prototype for modelling and simulation for deshopping behaviour and how companies respond (Shawkat Rahman & Shuliang Li) Integrating multiple agents, simulation, knowledge bases and fuzzy logic for international marketing decision making (Shuliang Li & Jim Zheng Li) A Web-based hybrid intelligent system for combined conventional, digital, mobile, social media and mobile marketing strategy formulation (Shuliang Li & Jim Zheng Li) A hybrid intelligent model for Web & social media dynamics, and evolutionary and adaptive branding (Shuliang Li) A hybrid paradigm for modelling, simulation and analysis of brand virality in social media (Shuliang Li & Jim Zheng Li) Network configuration management: attack paradigms and architectures for computer network survivability (Tero Karvinen & Shuliang Li)