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The paper establishes the knowledge complex mode of design rules of civil avionics Integrated Intelligent Flight Deck Displays aiming at its peculiarity of operation and being based on the experienced data being evaluated by the resourceful pilots, an algorithm is proposed which using rough set to reduce the data and give a knowledge reduction and rule extraction algorithm based on a comprehensive...
The burden of lifestyle diseases such as diabetes have reached epidemic proportions since the last decade in India. An estimated 75 million people in India would become diabetic by 2025. However, the existing healthcare infrastructure is inadequate to meet the demands of this exploding population. Provisioning a web-based patient support system that helps in patient centered decision making and physician...
The aim of this paper is to present the role of Artificial Intelligence techniques (Expert systems) to enhance reflective e-portfolios quality. Some AI techniques such as the expert system; scheduling; Data Mining can support us to enhance our reflective e-portfolios quality. These tools together will define new intelligent Reflective e-portfolio that provides intelligent and customized learning method...
Software engineering is at the very start of it's automation. There are a lot of helpers, code-generators, IDE-s and so on that does not really help to automate the complete software development life-circle from Functional requirements specification till the actual code. We explore the idea to generate the actual software solution using standard Functional requirements specification, change request...
The objective of this article is to provide a fair review on certain important aspects related to philosophical foundation of granular computing (GrC). We summarize and analyze existing literature to find out what has led to GrC, what have been explicitly stated, what are implied, and what are still lacking (or overlooked). Due to the huge amount of literature in this area and diverse viewpoints of...
This paper starts with expatiating on the semantic meanings of intelligence, science and technology. Firstly explains the connotation of concepts of the human intelligence, the artificial intelligence, the intelligence science and technology. Secondly discusses the construction of the knowledge system of intelligence science and technology. Thirdly analyzes the elements of the human intelligence science,...
Granular Computing (GrC) is a new concept and novel approach to solve the complex problems and provide a method for massive data-mining in the field of artificial intelligence. This paper applied granular space theory to hierarchical clustering method to generate a more efficient two-stage hierarchical clustering algorithm based on granular theory. This Method can reduce the time and memory complexities...
The amount of time teachers spend grading essays has increased over the past decade, prompting the development of systems that are able to lighten the workload. Many systems have thus far used linear regression or semi-supervised methods towards this objective. This paper discusses some of the main Automated Essay Grading systems, highlighting some of their strengths and weaknesses, in addition to...
The domain of artificial intelligence (AI) progresses with extraordinary vicissitude. Whereas prior authors have divided AI into the two categories of analysis and synthesis, Raine and op den Akker distinguish between four types of AI: that of appearance, function, simulation and interpretation. These subdomains of AI are differentiated by user goals, creator methodologies, and environmental constraints...
The basis of all path finding is simple. It is the discovery of a number of vectors, which in combination, resulting in a path from one point to another. At the simplest level, in one dimension, it is finding the distance to the goal. Add a second dimension, followed by a third and the complexity increases exponentially, with direction becoming significant. This paper focused on the study of pathfinding...
The evaluation of human resource management performance can promote commercial banks to perfect and improve human resource management comprehensively, directionally, and intentionally, which is of practical significance. The core of fuzzy evaluation on the performance of human resources management is membership degree transformation. But the existing transformation methods should be questioned, because...
The design of NPC (non-player character) is an analytic process. It is relying on assumptions of human game players' behavior. In practice, however, different PCs (player characters) often exhibit variable behavior, making them difficult to predicate and complicating the design process. In this paper, we describe an approach for team AI planning and learning. This approach is based on procedural knowledge...
The study of how humans establish mutual understanding is intertwined with the design of artificial conversation systems. The focus of this paper is perspective-taking in and artificial imitation of communication. Regardless of whether an engineer takes psychological theory into consideration when building an agent, an underlying philosophy of perspective-taking is evident when observing the agent's...
Recently, a lot of hybrid methods, which combine case-based reasoning (CBR) with a genetic algorithm GA, have been suggested in product designing. However, the suggested methods perform poorly in case of creative designing. In this paper, a novel simultaneous optimization method is proposed, which combine CBR and GA with an algorithm process for simulation of directed similarity association according...
Nowadays, there are commercial tools that allow automatic generation of text summaries. However, it is not known the quality of the generated summaries and the method that it is used for the generation of the summaries using these commercial tools. This paper provides a study about the commercial tools such as Copernic Summarizer, Microsoft Office Word Summarizer 2003 and Microsoft Office Word Summarizer...
Knowledge base building is a key branch of modern artificial intelligence research. Current methods in this field mainly focus on computational efficiency, decidability, data exchange, and machine readability. In this paper, a novel human like knowledge representation method called dynamic semantic network (DSN) is proposed. With the inspiration of high level human brain cognitive models, DSN aims...
This study is proposing the possibility of utilization for the game contents that have the most noticeable interaction with users based on the artificial emotion study model of cognitive psychological perspective. For designing the artificial emotion model of the game character, which is virtual being the medium for direct communication with users, the representative emotion model in the cognitive...
The theory of Chinese character intelligent formation considers that Chinese characters are formed by components according to character structure; all the components are the topological mapping of basic elements in the character structure. The mapping method of basic elements in different character structures is one of the key technologies. This paper carried on a thorough analysis to the transformation...
Word sense disambiguation (WSD) is a traditional AI-hard problem. An improvement of WSD would have a significant impact on applications such as knowledge acquisition, text mining, information extraction, etc. Lexical chain holds a set of semantically related words of a text and provides an effective way for WSD, but existing lexical chain systems have inaccuracies in WSD for lacking a weighting scheme...
This study analyses how cross-functional teams' impact on value-relevance is expected to build and maintain good quality intelligent information systems, and also on operational performance after the implementation of intelligent information systems in firms. The phenomenon of cross-functional teams and the structural relationships were evaluated by using multiple regression analysis. Operational...
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