Operational Knowledge Base Research Articles

HTNpedia: A Knowledge Base for Hypertension Research.

Hypertension is notably a serious public health concern due to its high prevalence and strong association with cardiovascular disease and renal failure. It is reported to be the fourth leading disease that leads to death worldwide. Currently, there is no active operational knowledge base or database for hypertension or cardiovascular illness. The primary data source was retrieved from the research outputs obtained from our laboratory team working on hypertension research. We have presented a preliminary dataset and external links to the public repository for detailed analysis to readers. As a result, HTNpedia was created to provide information regarding hypertension-related proteins and genes. The complete webpage is accessible via www.mkarthikeyan.bioinfoau.org/HTNpedia.

Anthropological understanding of culture – the key for designing Romani housing

Purpose This paper aims to demonstrate a possible way in which cultural elements of minorities, in the specific case of the Romani, can be researched and operationalized in certain guidelines for designing housing intended for these groups. The paper was inspired by a constant failure of the present practice of solving the socially vulnerable Romani housing problems, namely, previous attempts have only achieved a negative outcome that, besides the partial satisfaction of urgent housing needs, does not respect the specificities of the Romani culture and lifestyle. The negative result has once again displaced this subject outside of the designing expertise and demands new examinations of strategical principles that precede the solving of the Romani housing question. Design/methodology/approach The authors create a methodological turn from the humanistic determination of the term culture towards the anthropological one, forming a clear methodological position of accessing the Romani culture. To test this approach on Romani settlements in Belgrade, this study used on-site observations of everyday life and informal interviews with residents. Findings As a practical result, this paper presents an operational knowledge base about Romani housing with design recommendations. In the social sense, this knowledge contributes to the scientific description and explanation of the characteristics of Roma housing. In a wider sense, this paper has the potential to shed light on similar problems of minorities that are present outside of the national borders of Serbia. Originality/value The topic of Romani housing is insufficiently researched, especially in the region of the Western Balkans. For this reason, the present study and the obtained results represent a significant contribution to scientific knowledge in this field.

Intelligent Operation and Maintenance of Micro-grid Technology and System Development

In order to achieve the micro-grid operation and management, Studying the micro-grid operation and maintenance knowledge base. Based on the advanced Petri net theory, the fault diagnosis model of micro-grid is established, and the intelligent diagnosis and analysis method of micro-grid fault is put forward. Based on the technology, the functional system and architecture of the intelligent operation and maintenance system of micro-grid are studied, and the microcomputer fault diagnosis function is introduced in detail. Finally, the system is deployed based on the micro-grid of a park, and the micro-grid fault diagnosis and analysis is carried out based on the micro-grid operation. The system operation and maintenance function interface is displayed, which verifies the correctness and reliability of the system.

Research of Business Process Intelligent Building and Optimization Platform Base on SOA

Combine enterprise business process operation knowledge base, unified management knowledge agent and business Process Model, proposed a complete conceptual framework and implementation model that can fully complete business process intelligent modeling, business process automatic control and monitoring and business process automatic optimization. Then build a software platform system on SOA and web service technology. The proposed scheme can fully complete the fast intelligent modeling, management and control, simulation and optimization of business processes.

Modeling and simulation of motor/turbine processes in utility plant

To achieve safe operation and to improve economics it is imperative to monitor and analyze demand and supply of utilities and to meet utility needs in time. The main objective of motor/turbine processes is to manipulate optimal balances on steam and electricity in utility plants. The optimal operation of motor/turbine processes is by far the most important to improve economics in the utility plant. In order to analyze motor/turbine processes, steady state models for steam generation equipment and steam distribution devices as well as turbine generators are developed and analyzed in this work. In addition, heuristics concerning various operational situations are incorporated in the models. The motor/turbine optimal operation system is based on utility models and operational knowledgebase, and provides optimal operating conditions when the amount of steam demand from various steam headers is changed frequently. The optimal operation system also produces optimal selection of driving devices for utility pumps to reduce operating cost.

The development of an ontology-based expert system for corporate financial rating

This study presents a new approach in developing an expert system to assess financial quality of an enterprise. In dealing with the complexity of financial statement analysis, this approach separates knowledge content into domain knowledge of financial statements and operational knowledge of analysts’ analytical process. The former represents the well defined relationships of accounting items of financial statements. The latter represents the reasoning processes that use the domain knowledge to appraise the quality of given financial statements. We apply ontology to model the content of domain knowledge, and use decision rules to represent operational knowledge. This system integrates Protégé, as domain knowledge base, and JESS, as operational knowledge base, into one complete expert system. The performance validity of the system was verified with financial statements from Taiwanese stock market.

Development of safeguards and maintenance technology in Tokai Reprocessing Plant

The application of safeguards to the Tokai Reprocessing Plant (TRP), the world's first reprocessing plant with a sole objective of commercial use, was made on trial and error basis because it was the first experience for both the plant and the inspection sides. Through 30 years' faithful cooperation to the IAEA-initiated safeguards program, TRP contributed also to the developments of the international credibility upon the concept of safeguards system of reprocessing plant in non-nuclear weapon state. TRP also has been processing over 1136 ton of spent fuels from the beginning of its active operation in September 1977. During 30 years operation of TRP, many technological problems have been overcome to obtain the stable and reliable operation. The process for establishments of maintenance technology in TRP was evaluated through the analysis of significant plant equipment failures reported to the government and so on. Discussion in this paper also emphasized that the safeguards system and the maintenance technologies developed by TRP have been applied to the first Rokkasho commercial Reprocessing Plant (RRP). Furthermore, this operation knowledge base can contribute to the design and construction of the next generation reprocessing plant.

Multimodeling Approach for Automated Hazard Analysis of Batch Process Plants.

In this article, a strategy for automatic hazard analysis of batch process and the integrated automatic hazard analysis systems are proposed. The suggested process models for hazard analysis are based on multimodeling approach, which aims the improvement of the effectiveness and efficiency of reasoning process by cooperation of multiple models. According to the multimodeling concept, four process representation models, including operational, material, behavioral and functional knowledge bases, and four hazard inference algorithms are established. For a case study, a batch pharmaceutical process is tested and a maloperation analysis is performed, and the case study showed more successful capture of hazard information using the devised analysis system than the traditional systems

A method for understanding intentions of indirect speech acts in natural language interfaces

AbstractIn an attempt to propose a robust method for understanding natural language (NL) interface commands, a scheme is proposed that infers intentions from an indirect speech‐act that does not express users' real intentions explicitly. This method classifies the real intentions of the indirect speech‐act into: 1) refusal; 2) reversal; 3) restriction; 4) benefit; and 5) disability. Further, concepts are abstracted for operations, e.g., displaying, moving, and deleting information systems; and constructing the operation knowledge base. This knowledge based comprises operational concepts and the relationships between them. These relationships are assigned the foregoing classifications for intentions. In addition, we construct the knowledge base of objects for the target of operations, e.g., files, figures, strings. This knowledge base contains the relationships: a) antonym; b) exclusive; c) part‐of, between the objects; and uses these relations to infer the transitions between the objects. An algorithm is the proposed to infer concepts for operations and concepts for target objects of operations that may represent the user's actual intentions.This proposal scheme was tested with requests on UNIX and a commercially available Japanese Word Processor. The system successfully inferred the intentions for approximately 80 percent of the user's indirect speech‐act.

Multiobjective intelligent computer-aided design

A methodology for multiobjective intelligent computer-aided design (MICAD) of large-scale systems is proposed. The proposed MICAD methodology partitions the knowledge base required for the design system to include a progressively acquired preferential component captured using a decision theoretic model and an a priori acquired operational component that can be represented using a wide range of artificial intelligence and expert systems techniques. User preferences are employed to personalize the search for improved designs and dynamic acquisition of those preferences enables the systems, to some extent, to mimic and conform to different users, decision-making styles, and design goals. The primary emphasis is the decision theoretic treatment of user preference in a general search strategy and design domain. The construction of the operational knowledge base is demonstrated to be an opportunity for application of existing artificial intelligence techniques.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

Operational knowledge acquisition problems for air traffic expert controller

Air Traffic Control System (ATC) is a service of the Federal Aviation Administration to accomplish a safe and expeditious flow of the air traffic in the National Airspace System. To assist in AT controller training and to improve the future ATCS operation there is a need to design a computer program that would imitate the decision process of an experienced controller. Such a program, given a set of data describing a current traffic situation, would first analyze, recognize, and process the data to generate a set of facts constituting the bases for the controller's action. Then, using an available ATC operational knowledge base, the program would generate an appropriate controller action. We can differentiate two types of actions. The first type of actions reflect the final controller decision. The second type are actions initializing a request to acquire more data to solve the problem.