Performance assessment of nanoscale double- and triple- gate FinFETs

This is the first paper to describe performance assessment of triple and double gate FinFETs for High Performance (HP), Low Operating Power (LOP) and Low Standby Power (LSTP) logic technologies is investigated. The impact of gate work-function, spacer width, lateral source/drain doping gradient, fin aspect ratio, fin thickness on device performance, has been analysed in detail and guidelines are presented to meet ITRS specification at 65 and 45 nm nodes. Optimal design of lateral source/drain doping profile can not only effectively control short channel effects, yielding low off-current, but also achieve low values of intrinsic gate delay.

Building Information Modelling Energy Performance Assessment on Domestic Dwellings: A Comparative Study

Building Information Modelling (BIM) is growing in pace, not only in design and construction stages, but also in the analysis of facilities throughout their life cycle. With this continued growth and utilisation of BIM processes, comes the possibility to adopt such procedures, to accurately measure the energy efficiency of buildings, to accurately estimate their energy usage. To this end, the aim of this research is to investigate if the introduction of BIM Energy Performance Assessment in the form of software analysis, provides accurate results, when compared with actual energy consumption recorded. Through selective sampling, three domestic case studies are scrutinised, with baseline figures taken from existing energy providers, the results scrutinised and compared with calculations provided from two separate BIM energy analysis software packages. Of the numerous software packages available, criterion sampling is used to select two of the most prominent platforms available on the market today. The two packages selected for scrutiny are Integrated Environmental Solutions - Virtual Environment (IES-VE) and Green Building Studio (GBS). The results indicate that IES-VE estimated the energy use in region of ±8% in two out of three case studies while GBS estimated usage approximately ±5%. The findings indicate that the introduction of BIM energy performance assessment, using proprietary software analysis, is a viable alternative to manual calculations of building energy use, mainly due to the accuracy and speed of assessing, even the most complex models. Given the surge in accurate and detailed BIM models and the importance placed on the continued monitoring and control of buildings energy use within today’s environmentally conscious society, this provides an alternative means by which to accurately assess a buildings energy usage, in a quick and cost effective manner.

Performance assessment of cascade control loopswith non-Gaussian disturbances using entropy information

Cascade control is one of the routinely used control strategies in industrial processes because it can dramatically improve the performance of single-loop control, reducing both the maximum deviation and the integral error of the disturbance response. Currently, many control performance assessment methods of cascade control loops are developed based on the assumption that all the disturbances are subject to Gaussian distribution. However, in the practical condition, several disturbance sources occur in the manipulated variable or the upstream exhibits nonlinear behaviors. In this paper, a general and effective index of the performance assessment of the cascade control system subjected to the unknown disturbance distribution is proposed. Like the minimum variance control (MVC) design, the output variances of the primary and the secondary loops are decomposed into a cascade-invariant and a cascade-dependent term, but the estimated ARMA model for the cascade control loop based on the minimum entropy, instead of the minimum mean squares error, is developed for non-Gaussian disturbances. Unlike the MVC index, an innovative control performance index is given based on the information theory and the minimum entropy criterion. The index is informative and in agreement with the expected control knowledge. To elucidate wide applicability and effectiveness of the minimum entropy cascade control index, a simulation problem and a cascade control case of an oil refinery are applied. The comparison with MVC based cascade control is also included.

Current understanding of learning psychomotor skills and the impact on teaching laparoscopic surgical skills

Key content
- Trainees face many challenges in learning the skill set required to perform laparoscopic surgery.
- The time spent in the operating room has been detrimentally impacted upon since the implementation of the European Working Time Directive. In order to address the deficit, surgical educators have looked to the benefits enjoyed in the aviation and sports industries in using simulation training.

Learning objectives
- To summarise the current understanding of the neuropsychological basis of learning a psychomotor skill.
- To clarify factors that influence the acquisition of these skills.
- To summarise how this information can be used in teaching and assessment of laparoscopic skills.

Ethical issues
- The use of virtual reality simulators may be able to form a part of the aptitude assessment in the selection process, in order to identify trainees with the desired attributes to progress into the training programmes. However, as skill improves with practice, is it ethical to exclude novices with poor initial performance assessment before allowing them the opportunities to improve?