Design decisions are increasingly required to take full account of life-cycle-cost to facilitate specification choice for different building and engineering components. To this end an integrated framework for life-cycle analysis through identification of contributory elements and sub-elements allows analysis via an appropriate tool. The framework presented discusses the opportunity for the util...

This paper applies Simon’s (1996) sciences of the artificial to elaborate a set of structures and processes for developing design theory. Goals, kernel theory, and artifacts inform an inter-related prototyping cycle of design, evaluation, and appropriation / generation to produce strategic design theory. The paper identifies DSR project types to provide signposts for starting and ending the cyc...

in this paper, a new combined power and refrigeration cycle is proposed, which combines the rankin power cycle and the ejector refrigeration cycle. this combined cycle produces both power output and refrigeration output simultaneously. this cycle is driven by the flue gas of gas turbines, industrial waste heats, solar energy and geothermal energy. an exergy analysis is performed to guide the th...

The 21st century is experiencing a renewed interest in an old idea within artificial intelligence that goes to the heart of what it means to be both human and intelligent. This idea is that much can be gained by thinking about one's own thinking. Traditionally within cognitive science and artificial intelligence, thinking or reasoning has been cast as a decision cycle within an actionperception...

the present study was carried out to investigate the effect of different seasons on length and duration of estrus as well as to observe the behavioral changes and physiological peculiarities during estrus period. three climatic seasons and age groups were considered: summer (march-june), rainy (july-october) and winter (november-february); a (6-9 month), b (9-12 month) and c (>12 month). estrus...

A deeper understanding of the physical nature cycle-to-cycle variations (CCV) in internal combustion engines (ICE) as well reliable simulation strategies to predict these CCV are indispensable for development modern highly efficient engines. Since process ICE strongly depends on turbulent flow field cylinder and, spark-ignited engines, especially around spark plug, prediction using computationa...

For the last few years, cases of applying artificial intelligence (AI) to engineering activities towards sustainability have been reported. Life Cycle Engineering (LCE) provides a potential systematically reach higher and productivity levels, owing its holistic perspective consideration economic environmental targets. To address current gap more systematic deployment AI with LCE (AI-LCE) we per...

In this paper we propose an architecture for a cognitive engine that is based on the emotional learning cycle instead of the traditional cognitive cycle. The cognitive cycle that traditionally has been used as reference for cognitive radio is on the basis of the Unified Theories of Cognition (UTC) to model rational decision making in humans. UTC represents a rational goal-oriented decision-acti...