Knowledge-Based Systems for the Assessment and Management of Bridge Structures: A Review

It is becoming an important social problem to make maintenance and rehabilitation of existing infrastructures such as bridges, buildings, etc. in the world. The kernel of such structure management is to develop a method of safety assessment on items which include remaining life and load carrying capacity. The purpose of this paper is to summarize the finding of up-to-date research articles concerning the application of knowledge-based systems to assessment and management of structures and to illustrate the potential of such systems in the structural engineering. In here, knowledge-based systems include knowledge-based expert systems incorporation with artificial neural networks, fuzzy reasoning and genetic or immune algorithms. Specifically, two modern bridge management systems (BMS’s) are presented in the paper. The first is a BMS to assess the performance and derive optimal strategies for inspection and maintenance of concrete bridge structures using reliability based and knowledge-based systems. The second is the concrete bridge rating expert system (J-BMS BREX) to evaluate the performance of existing bridges by incorporating with artificial neural networks and fuzzy reasoning.

Orientation of Government's Role in Building the Technology System of Circular Agriculture

This article expounds the economic characteristics of circular agricultural technology.Since the circular agricultural technology has characteristics and externality of public goods,the government participation is necessary in building the technology system of circular agriculture,in order to avoid "free rider" behavior in the consumption of public goods and internalize externality.We analyze the orientation of government's role in building the technology system of circular agriculture:the government is the leader,designer,organizer and regulator in building the technology system of circular agriculture;the government orientates the four roles precisely in building the technology system of circular agriculture,to ensure that they do not cross the line,but be indispensable all the while.

nSrDNA Appraisal of High Yield Flocculant Compound Bacteria and Their Application Effect

High effect flocculant compound bacteria were screened out with the product bacteria of flocculant in soil. Their system appraising study shows that two were actionomyces and the other was microzyme among the three bacteria. According to nSrDNA, the three bacteria were marked at a molecule level and the system growth tree was established, ensuring the position of compound bacteria at the molecule level. The purificant which was made of the compound bacteria has spreading value because of its excellent clearing effect for organic and inorganic polluted water.

The Need for Fuzzy AI

Artificial intelligence(AI) is once again a topic of huge interest for computer scientists around the world. Whilst advances in the capability of machines are being made all around the world at an incredible rate, there is also increasing focus on the need for computerised systems to be able to explain their decisions, at least to some degree. It is also clear that data and knowledge in the real world are characterised by uncertainty.Fuzzy systems can provide decision support, which both handle uncertainty and have explicit representations of uncertain knowledge and inference processes. However, it is not yet clear how any decision support systems, including those featuring fuzzy methods, should be evaluated as to whether their use is permitted.This paper presents a conceptual framework of indistinguishability as the key component of the evaluation of computerised decision support systems. Case studies are presented in which it has been clearly demonstrated that human expert performance is less than perfect, together with techniques that may enable fuzzy systems to emulate human-level performance including variability.In conclusion, this paper argues for the need for "fuzzy AI" in two senses:(i) the need for fuzzy methodologies(in the technical sense of Zadeh's fuzzy sets and systems) as knowledge-based systems to represent and reason with uncertainty; and(ii) the need for fuzziness(in the non-technical sense) with an acceptance of imperfect performance in evaluating AI systems.

The Transform Method from the Concept Model to the Petri Net Model

A concept model for the specification of the system is presented in this paper. It includes power graph,resource graph and restriction set. The transformation algorithms from concept model to Petri net model are given respectively. The method is illustrated by an example of the discrete manufacturing system.

Synthesis Reasoning and Its Application in Chinese Calligraphy Generation

In this paper, we address the demanding task of developing intelligent systems equippedwith machine creativity that can perform design tasks automatically. The main challenge is howto model human beings creativity mathematically and mimic such creativity computationally. Wepropose a “synthesis reasoning model” as the underlying mechanism to simulate human beingscreative thinking when they are handling design tasks. We present the theory of the synthesisreasoning model, and the detailed procedure of designing an intelligent system based on the model.We o?er a case study of an intelligent Chinese calligraphy generation system which we have developed.Based on implementation experiences of the calligraphy generation system as well as a few othersystems for solving real-world problems, we suggest a generic methodology for constructing intelligentsystems using the synthesis reasoning model.

Visualization of Approximate Reasoning Systems

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A DEVELOPING TOOL FOR THE EXPERT SYSTEM IN TECHNOLOGY DESIGN AND EXPERT SYSTEM FOR COCOON COOKING

This paper demonstrates the general character of some technology designing processes through their analysisand introduces a developing tool for the expert system in technology design.With this tool a particular domain ex-pert can directly establish a knowledge base so as to form a practical expert system,and thus enhanca correctness ofknowledge experssion and the developing efficiency of the expert system.It also discusses in detail the mech-anism of reasoning,interpreting and knowledge obtaining.The knowledge base consists of three parts:classifyingrules,essential data,and regulating rules.It can be formed by means of the expert dialouge and edition.In its ap-plication,the knowledge base can constantly accumulate successful experience to achieve itsself-study function.The paper shows the way to describe the knowledge in a particular domain and the process of applying this tool ina particular domain. The tool is written in Turb-Prolog language,And an expert system for cocoon cooking isprovided.

基于PROFIBUS的污水处理智能控制系统研究

从实际情况出发,为中小城市污水处理系统组建了一个基于PROFIBUS现场总线的控制网络,设计了一套用于指导污水处理厂日常运行的故障诊断及决策系统,实现了对污水处理的智能控制。

Automatic Virtual Entity Simulation of Conceptual Design Results—Part Ⅰ:Symbolic Scheme Generation and Identification

The development of new products of high quality, low unit cost, and short lead time to market are the key elements required for any enterprise to obtain a competitive advantage. For shorting the lead time to market and improving the creativity and performances of the product, a rule-based conceptual design approach and a methodology to simulate the conceptual design results generated in conceptual design process in automatical virtual entity form are presented in this paper. This part of paper presents a rule-based conceptual design method for generating creative conceptual design schemes of mechanisms based on Yan＇s kinematic chain regeneration creative design method. The design rules are adopted to describe the design requirements of the functional characteristics, the connection relationships and topological characteristics among mechanisms. Through the graphs-based reasoning process, the conceptual design space is expanded extremely, and the potential creative conceptual design results are then dug out. By refining the design rules, the solution exploration problem is avioded, and the tendentious conceptual design schemes are generated. Since mechanical, electrical and hydraulic subsystems can be transformed into general mechansims, the conceptual design method presented in this paper can also be applied in the conceptual design problem of complex mechatronic systems. And then the method to identify conceptual design schemes is given.

Differently implicational α-universal triple I restriction method of (1, 2, 2) type

From the viewpoints of both fuzzy system and fuzzy reasoning, a new fuzzy reasoning method which contains the α- triple I restriction method as its particular case is proposed. The previous α-triple I restriction principles are improved, and then the optimal restriction solutions of this new method are achieved, especially for seven familiar implications. As its special case, the corresponding results of α-triple I restriction method are obtained and improved. Lastly, it is found by examples that this new method is more reasonable than the α-triple I restriction method.

Establishment of Agricultural Logistics Warehouse Receipt Pledge System in New Rural Construction

New rural construction needs a strong financial support. However,agriculture is a high-risk industry; one big obstacle restricting Chinese rural economic development is financing difficulty in the agricultural products producing and processing enterprises. This paper,on the foundation of analyzing the current situation of Chinese agricultural products market,with the theory of modern logistics finance,puts forward the approach of establishing Chinese agricultural products logistics pledge system,and illustrates the function of agricultural products logistics warehouse receipt pledge system in the new rural construction.

RESEARCH INTO DEVELOPING INTELLIGENT CAE SYSTEMS——An FEM-based Mechanism Design Approach

A general methodology for developing intelligent CAE systems is presented, which is based on a so-called Model Based Reasoning Approach (MBRA) in knowledge engineering. Generic features of CAE systems are described, and a generic model for the architecture of CAE systems with these generic features is then presented. A model-based reasoning approach is modified for implementing the generic model. A case for developing a computer system for the mechanism design based on a specific finite element theory is used to explain the methodology.

Research on and implementation of a knowledge-reasoning based evaluation support system

An evaluation support system involving complicated decision making problems during engineering design of products is introduced by first describng and modeling complicated decision making problems, and then constructing and describing the architecture and functional structure of an evaluation support system, based on knowledge-based reasoning. Knowledge contains important experience of field-expert and can be classified and stored in knowledge bases, and therefore, the system suggests information-processing tools based on information resources including data knowledge bases and methods bases, which can be used to evaluate the designs against the multi-criteria decision framework thereby providing decision-makers with rational and scientific information.

Geological Analogy Expert System of Oil-Generating Depressions

The geologic analogy expert system of oil-generating depressions (GAESOD) constructed on IBM 386 by using GCLISP language is a tool-type expert system for geologic analogy .GAESOD consists of eight parts: (1) illustrating module of system; (2) general controlling module; (3) knowledge base; (4 (reasoning module; (5 )data base; (6)explanation module; (7)gaining and managing module of knowledge; (8) managing module of data base .There are 36 known models of oil-generating depressions of the eastern part and the continental shelf of China in the knowledge base .Three values,such as resemblance coefficient ,certainty factor and fine-poor coefficient ,will be acquired if this system is applied to any two on-generating depressions .Finally,GAESOD are applied to the analysis of some data from Xichang depression ,Hepu basin and the conclusions from this system are consistent with the results from geologic experts.

Establishing Government Administrative System On Auto-Products To Harmonize With Commonly-Used Systems Over The World

The first Industrial Policy of China in 90’s——The Industrial Policy of Motor Industry was isaued on July 4, 1994. It was the first time for Chinese Central Government to launch in this policy the supervision and management system over auto products (include motorcycle) relating to safety, emission control and energy-saving

用Microsoft Excel实现动态图表输出

ＭｉｃｒｏｓｏｆｔＥｘｃｅｌ是运行在Ｗｉｎｄｏｗｓ环境下的一个电子表格软件。它具有较强的图表处理功能，丰富的函数库和宏命令为用户在原有的基础上进行二次开发提供了极大的方便。借助于Ｗｉｎｄｗｓ中的ＤＤＥ功能，用户只需要产生出相应的数据，并将其传递给Ｅｘｃｅｌ，即可生成自己所需求的图表。本文首先介绍Ｅｘｃｅｌ及其应用特性。其次就ＤＤＥ的功能进行简单描述，最后较详细介绍了使用Ｅｘｃｅｌ产生动态图表的具体方法。

Knowledge Representation and Fuzzy Reasoning of an Agricultural Expert System

The design scheme of an agricultural expert system based on longan and cauliflower planting techniques is presented. Using an object-oriented design and a combination of the techniques in multimedia, database, expert system and artificial intelligence, an in-depth analysis and summary are made of the knowledge features of die agricultural multimedia expert system and data models involved. According to the practical problems in agricultural field, the architectures and functions of the system are designed, and some design ideas about the hybrid knowledge representation and fuzzy reasoning are proposed.

Application of Case-Based Reasoning to Intelligent Support System for Coordinating Land Conflicts

To establish the institutional mechanism for land conflict coordination in China, a case-based reasomng system is developed as an intelligent support and effective manner to resolve such issues. The establishment of the case library is discussed, previous land conflict cases are archived in a structural representation format for retrieval, and the similarity algorithm is adopted to compare the case features. Group tests show a good classification performance, which reveals that the system is feasible.