Overview of Intelligent Design on Mold

2012 ◽  
Vol 459 ◽  
pp. 394-397
Author(s):  
Bin Wang ◽  
Jian Jun Chen ◽  
Jie Tao
Keyword(s):  
Artificial Intelligence ◽  
Intelligent Design ◽  
Knowledge Engineering ◽  
Design Method ◽  
Mold Design ◽  
Engineering Technology ◽  
Knowledge Based ◽  
Knowledge Reasoning ◽  
Artificial Intelligence Technology ◽  
Development Tendency

Applying Artificial Intelligence technology on mold design can help realize the design automation of mold. Because knowledge-based engineering is an effective intelligent design method, the paper systematically introduced the application and development of knowledge representation, knowledge reasoning, knowledge acquisition and other key technologies of knowledge engineering technology used in mold design field. Finally, the development tendency of mold design based on artificial intelligence was analyzed in detail

Application of Knowledge Based Engineering in Aeronautics Mold Parts Parametric Design

2013 ◽  
Vol 765-767 ◽  
pp. 47-50
Author(s):  
Yan Ling Zhao ◽  
Chun Yu Che ◽  
Hong Bo Wang ◽  
Zi Yan Yun ◽  
Guan Hong Xu
Keyword(s):  
Knowledge Representation ◽  
Production Efficiency ◽  
Parametric Design ◽  
Knowledge Engineering ◽  
Secondary Development ◽  
Engineering Technology ◽  
Knowledge Based ◽  
Knowledge Reasoning ◽  
Development Tools ◽  
Knowledge Based Engineering

In the process of designing aeronautic composite mold parts, previous designing knowledge and expertise cant be well used, the cycle of parts modeling is long and its production efficiency is low. According to the classification and characteristics of aeronautic mold parts and the knowledge engineering technology, based on the fusion module in UG6.0, we establish its repository by the knowledge acquisition, knowledge representation and knowledge reasoning of aeronautic mold parts. With the UG secondary development tools, UG/Open Menuscript and UG/Open Uistyler, we develop user menu and parametric design interface of aeronautic mold parts, make good use of its designing knowledge, and fulfill the knowledge-driven parts parametric design. They satisfy the rapid design requires of aeronautic mold parts and shorten its designing cycle.

scholarly journals Learning Social Media Content Optimization: How Can SMEs Draw the Users' Attention on Official WeChat Accounts?

2022 ◽  
Vol 12 ◽  
Author(s):  
Xueyun Zeng ◽  
Xuening Xu ◽  
Yenchun Jim Wu
Keyword(s):  
Artificial Intelligence ◽  
Social Media ◽  
Psychological Needs ◽  
Media Content ◽  
Media Usage ◽  
Knowledge Based ◽  
Related Information ◽  
Artificial Intelligence Technology ◽  
Positive Effect ◽  
Content Optimization

Application of artificial intelligence is accelerating the digital transformation of enterprises, and digital content optimization is crucial to take the users' attention in social media usage. The purpose of this work is to demonstrate how social media content reaches and impresses more users. Using a sample of 345 articles released by Chinese small and medium-sized enterprises (SMEs) on their official WeChat accounts, we employ the self-determination theory to analyze the effects of content optimization strategies on social media visibility. It is found that articles with enterprise-related information optimized for content related to users' psychological needs (heart-based content optimization, mind-based content optimization, and knowledge-based content optimization) achieved higher visibility than that of sheer enterprise-related information, whereas the enterprise-related information embedded with material incentive (benefits-based content optimization) brings lower visibility. The results confirm the positive effect of psychological needs on the diffusion of enterprise-related information, and provide guidance for SMEs to apply artificial intelligence technology to social media practice.

Stage performance layout design based on artificial intelligence technology

2021 ◽  
pp. 1-7
Author(s):  
Gelang Li
Keyword(s):  
Artificial Intelligence ◽  
Real Time ◽  
Directed Graph ◽  
Design Method ◽  
Layout Design ◽  
Motion Path ◽  
Filtering Algorithm ◽  
Artificial Intelligence Technology ◽  
Stage Performance ◽  
Target Path

The main purpose of stage performance arrangement is to improve the audience’s satisfaction with the stage performance. For this purpose, the stage performance arrangement design method based on artificial intelligence technology was explored. In the process of stage performance action retrieval, the offline link uses the method of frame distance definition based on quaternion in artificial intelligence technology to construct the structure of motion database digraph; the real-time link determines the corresponding vertex and edge in the digraph. According to the vertices and edges in the directed graph, the performer’s trajectory was determined, and the multi-resolution filtering algorithm in artificial intelligence technology was used to extract the motion path in the performer’s trajectory. The target path of stage performance arrangement was obtained by mapping the performer’s motion path through zoom processing. Based on the goal path, by arranging the control position of the performer’s root joint and correcting the direction of the performer, the movement track of the performer in the stage performance process was reconstructed, and the stage performance layout design was realized by combining with the position arrangement of the stage performance motion segment. The experimental results show that the method can accurately plan the performers’ path and improve the user’s satisfaction with the stage performance.

Parametric Design Model of Disc-Scoop-Type Metering Device Based on Knowledge Engineering

2013 ◽  
Vol 834-836 ◽  
pp. 1432-1435
Author(s):  
Yu Yang
Keyword(s):  
Design Theory ◽  
Parametric Design ◽  
Knowledge Engineering ◽  
Design Method ◽  
Design System ◽  
Specific Design ◽  
Knowledge Based ◽  
Framework Model ◽  
Design Cycle ◽  
Machinery Design

Traditional agricultural machinery design methods usually go through longer-design cycle and can hardly make good use of existing knowledge and experience. In view of this problem, parametric design theory and knowledge-based engineering were applied to the disc-scoop-type metering device designed to improve the design experience and reuse design knowledge. Through the knowledge-based parametric design method, the design framework model of disc-scoop-type metering device was put forward. The knowledge library on the basis of design rules and characteristic similarity-based case library were created, and disc-scoop-type metering device parametric design system based on knowledge had been developed on the platform of Pro/Engineering. The rapid design for knowledge-driven model of disc-scoop-type metering device was realized. The specific design examples clearly indicated that the establishment of the system considerately improved the quality and efficiency of the design.

Validation of knowledge-based systems: Current trends and issues

1995 ◽  
Vol 10 (1) ◽  
pp. 69-71 ◽  
Author(s):  
Alun D. Preece
Keyword(s):  
Artificial Intelligence ◽  
Knowledge Engineering ◽  
Knowledge Based Systems ◽  
Short Article ◽  
European Conference ◽  
Knowledge Based ◽  
Engineering Discipline ◽  
Current Trends ◽  
European Institutions ◽  
Area Of Concern

Assuring the reliability of knowledge-based systems has become an important issue in the development of the knowledge engineering discipline. There has been a workshop devoted to these topics at most of the major AI conferences (IJCAI, AAAI and ECAI) for the last five years, and the 1994 European Conference on Artificial Intelligence (ECAI-94) in Amsterdam was no exception. The focus of the meeting was on validation techniques for KBS, where validation is defined as the process of determining if a KBS meets its users' requirements; implicitly, validation includes verification, which is the process of determining if a KBS has been constructed to comply with certain formally-specified properties, such as consistency and irredundancy. The Amsterdam workshop was an intimate meeting, and the fifteen attendees were predominantly from European institutions. In spite of—or perhaps because of—this intimacy, the workshop succeeded in highlighting many of the significant trends and issues within its area of concern. The purpose of this short article is to review the trends and issues in question, drawing upon the contributions made during the workshop.

A knowledge-based architecture for intelligent design support

1997 ◽  
Vol 12 (4) ◽  
pp. 387-406 ◽  
Author(s):  
MING XI TANG
Keyword(s):  
Knowledge Representation ◽  
Engineering Design ◽  
Support System ◽  
Intelligent Design ◽  
Knowledge Engineering ◽  
Design Knowledge ◽  
Design Support ◽  
Knowledge Based ◽  
Design Support System ◽  
Knowledge Based Design

The development of a knowledge-based design support system is a lengthy and costly process because various computational techniques necessary for intelligent design support are not readily available in a knowledge-based environment. The systematisation of design knowledge needs combined efforts from designers and knowledge engineers. Existing knowledge-based system development tools offer limited support to intelligent design support which require sophisticated knowledge engineering techniques in terms of knowledge representation, inference, control, truth maintenance and learning. In this paper, a knowledge-based architecture for intelligent design support is described. The existing knowledge-based design system architectures are reviewed first. Five key issues in intelligent design support using knowledge engineering techniques, i.e. design knowledge representation, structure of design knowledge base, intelligent control of design process, consistency and context management of design knowledge, and modelling of design collaboration are then discussed. These discussions provide a basis for a description of a knowledge-based design support system architecture which has been implemented in a Lisp-based environment and tested in two different domains. Current application of this architecture in the development of a design support system in the domain of mechanical engineering design at the Cambridge Engineering Design Centre is presented and evaluated.

scholarly journals Artificial Intelligence Markup Languange for Interactive Service HR Department

2019 ◽  
Vol 8 (12) ◽  
pp. 2180-2186
Keyword(s):  
Artificial Intelligence ◽  
Design Method ◽  
Interactive Media ◽  
Unified Modeling Language ◽  
Language Design ◽  
Modeling Language ◽  
Unified Modeling ◽  
Artificial Intelligence Technology ◽  
Information And Communication ◽  
Interactive Service

Along with the development of information and communication technology systems in the era of free digitalization, people are asking for comfort and convenience by supporting their activities. One of them is easy to find artificial intelligence technology in various ways to support human activities. Artificial intelligence technology or often called Artificial Intelligence (AI) can be processed into various forms so that according to the adjusted method. Application of Artificial Intelligence Markup Language (AIML) with UML (Unified Modeling Language) design as an interactive media for personnel and employee services. The UML (Unified Modeling Language) design method is expected to help the personnel department in providing information to employees at PT. Dimensions of Indonesian Data. The information collected will be made into frequently asked questions and then adjusted to the AIML pattern.

Psychological Issues in the Design of Expert Systems

1984 ◽  
Vol 28 (1) ◽  
pp. 73-77 ◽  
Author(s):  
Bruce W. Hamill
Keyword(s):  
Artificial Intelligence ◽  
Expert System ◽  
Expert Systems ◽  
Decision Aids ◽  
Non Profit ◽  
Psychological Issues ◽  
Knowledge Based ◽  
Artificial Intelligence Technology ◽  
Computer Based ◽  
Current Psychological

Recent advances in the artificial intelligence technology of knowledge-based expert systems have captivated the imaginations of designers, sponsors, and suppliers of computer-based systems in government and industry as well as researchers in university and non-profit laboratories where the technology originated. An expert system is essentially a way to capture the knowledge and expertise of a subject-matter expert and transfer it to a computer program in hopes of creating an “intelligent” computer system that will emulate the problem-solving and decision-making performance of the expert. Such systems are being built to serve as intelligent advisors and decision aids in a wide variety of application areas. We discuss conceptual issues underlying expert system design, with references to current psychological and artificial intelligence literature, and urge Consideration of these issues before undertaking development of expert systems.

Using artificial intelligence techniques to support project management

1987 ◽  
Vol 1 (1) ◽  
pp. 3-24 ◽  
Author(s):  
Raymond E. Levitt ◽  
John C. Kunz
Keyword(s):  
Artificial Intelligence ◽  
Decision Support ◽  
Project Management ◽  
Knowledge Engineering ◽  
Project Planning ◽  
Ai Planning ◽  
Engineering Project ◽  
Knowledge Processing ◽  
Domain Specific ◽  
Knowledge Based

AbstractThis paper develops a philosophy for the use of Artificial Intelligence (AI) techniques as aids in engineering project management.First, we propose that traditional domain-independent, ‘means–and’ planners, may be valuable aids for planning detailed subtasks on projects, but that domain-specific planning tools are needed for work package or executive level project planning. Next, we propose that hybrid computer systems, using knowledge processing techniques in conjunction with procedural techniques such as decision analysis and network-based scheduling, can provide valuable new kinds of decision support for project objective-setting and project control, respectively. Finally we suggest that knowledge-based interactive graphics, developed for providing graphical explanations and user control in advanced knowledge processing environments, can provide powerful new kinds of decision support for project management.The first claim is supported by a review and analysis of previous work in the area of automated AI planning techniques. Our experience with PLATFORM I, II and III, a series of prototype AI-leveraged project management systems built using the IntelliCorp Knowledge Engineering Environment (KEE™), provides the justification for the latter two claims.

The Design Method of Airfoils for Variable-Pitch Wind Turbines Based on Knowledge Engineering

2014 ◽  
Vol 1030-1032 ◽  
pp. 1342-1347
Author(s):  
Huan Xie ◽  
Wei Zeng
Keyword(s):  
Wind Turbines ◽  
Knowledge Engineering ◽  
Design Method ◽  
Case Based Reasoning ◽  
Variable Pitch ◽  
Case Representation ◽  
Knowledge Based ◽  
Previous Design ◽  
Set Up ◽  
Behavior Function

In order to make good use of the previous design knowledge, the knowledge-based engineering ideas were introduced to the design of airfoils for variable-pitch wind turbines, a new design method for airfoil of wind turbine was formed. Firstly, the structure-behavior-function (SBF) model of airfoils design was derived. Secondly, the neural rules for airfoils design of variable-pitch wind turbines were deduced. Thirdly, the design method of airfoils structure for wind turbines based on case-based-reasoning (CBR) was establishment. And the dimensionless model based on case representation was set up, and the algorithm of geometric parameters design for airfoils based on CBR was proposed at last.

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