Knowledge engineering

Environmental engineers use their knowledge of biology and chemistry to create solutions to environmental problems. They are associated with controlling water and air pollution, recycling and ways of improving it, public health issues, and waste disposal. Environmental engineers evaluate hazardous-waste, advise on how to treat and contain the hazard, and develop regulations on how to prevent mishaps with the hazard in the future. They design water supply and industrial wastewater treatment systems

Knowledge Based Expert System in Transportation Engineering and Traffic Adaptive Signal Control System I. Abstract Advances in computer technologies have been changing transportation field. Based on those, Intelligent Transportation System has been proposed and being developed for the next generation transportation system. This system requires more utilization of Artificial Intelligence, such as Knowledge Based Expert System, than current one. Although Knowledge Based Expert System has not been

Assignment #2 TMGT 513-01B Knowledge Management for Engineering and Technology Introduction Knowledge management defines the current use of the terms and identifies the core concept of managing knowledge in an organization (Atwood, 2009). The goal of Knowledge Management (KM) initiative is to improve the collective intelligence, or collective mind of the organizations and the resulting systematic coordination of knowledge ensures that the organization

REVIEW OF “KNOWLEDGE MANAGEMENT IN SOFTWARE ENGINEERING” CHIKE CYRIL AMAEFULE Griffith School of Engineering, Griffith University, Gold Coast, QLD4222, Australia This paper presents a review of an advanced topic in engineering management. It should consist of one paragraph giving a concise summary of the material in the article below. Replace the title, authors, and addresses with your own title, authors, and addresses. You may have as many authors and addresses as you like. It is preferable not

“I always believed that curiosity has been the cornerstone of man’s evolution”. which is the main criteria for gaining knowledge . Electronics is something which totally proven to be a massive revolutionary inventions to mankind which always intend to have drastic developments in it. This made me fascinate towards electronics subject to explore. Engineering is the key to save the earth, and electronics and communication engineers stand at the forefront of tackling obstinate problems from a global

Decision Making in Artificial Intelligence Sara Owsley Sood#1, Anila Sehar#2 Department of Computer Science Iqra University Abid Town Karachi, Pakistan 75500 anila.author@gmail.com Abstract Artificial intelligence techniques are increasingly enriching decision support through means as data delivery, analyzing data trends, providing forecasts, developing data consistency, information providing to the exploiter in the most appropriate forms and suggesting courses of action. Decision making is

Anyone can be an expert in their own mind, but to be an expert other people must identify you as an expert as well. I am an expert when it comes to all things horses. Training horses, riding horses, and even giving lessons to people on how to ride a horse. An expert is someone who knows what they are talking about backwards and forwards. They are able to answer any question that comes their way and is able to fix a problem. I am capable of doing this when I give horseback riding lessons. It takes

the gap of literature in developing ontology for the sustainable rural tourism domain. The rest of this paper is structured as follows: Section 2 describes the related works. Section 3 describes the system architecture and presents decision making knowledge as a Unified Modelling Language (UML) class diagram. Section 4 details the process of ontology development and gives the statistics about the ontology. Section 5 closes the paper with the

INTELLIGENCE (AI) tools and techniques can aid in the diagnosis of disease states and assessment of treatment outcomes, so AI can be used by a decision support system as pattern recognition to analyze healthcare data and generate a representation of knowledge and make a decision support. One of this AI technologies tools is the Artificial Neural Networks which work much like the human brain and have the ability to learn from

INTRODUCTION Clinical decision support provides clinical staff, patients and other individuals with person-specific information. The first computerized clinical support systems used in clinical practice was developed in the 1970s. There has been an outstanding number of clinical successes since their development, but their clinical practice routine is not as sustainable. Clinical decision support help to aid the clinician with decision making using relevant content at the point of computerized prescriber