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DAS: Intelligent Scheduling Systems for Shipbuilding

AI Magazine

Daewoo Shipbuilding Company, one of the largest shipbuilders in the world, has experienced great deal of trouble with the planning and scheduling of its production process. To solve the problems, from 1991 to 1993, Korea Advanced Institute of Science and Technology (KAIST) and Daewoo jointly conducted the Daewoo Shipbuilding Scheduling (das) Project. To integrate the scheduling expert systems for shipbuilding, we used a hierarchical scheduling architecture. To automate the dynamic spatial layout of objects in various areas of the shipyard, we developed spatial scheduling expert systems.


Development of Self-Maintenance Photocopiers

AI Magazine

The traditional reliability design methods are imperfect because the designed systems aim at fewer faults, but once a fault happens, the systems might hard fail. Regarding the repair-executing capability, control-type repair strategy was followed. However, the prototype revealed the following problems when its reasoning system was used with a commercial product as embedded software: (1) poor performance of the reasoning system, (2) system size that was too large, (3) low adaptability to environmental changes, and (4) roughness of qualitative repair operations. To solve these problems, we proposed new reasoning method based on virtual cases and fuzzy qualitative values.


The AI's Half-Century

AI Magazine

"How We Know Universals: The Perception Their first paper made many intellectual waves--which are still spreading, 50 years later. They had claimed that the truth or falsity of any (computable) proposition could, in with AI, for it's difficult to say just principle, be computed by a simple type of The future of psychology, they good a date as any, however, is 1943--almost said, consisted of the design of various sorts exactly half a century ago. This In that year, Warren McCulloch (a psychiatrist, novel methodology, and the nascent technology cybernetician, philosopher, and poet) associated with it, promised to show just and Walter Pitts (a research student in mathematics) how mind is grounded in mechanism. Much of this was "logical" in nature result was a heady brew, which explicitly and developed into what's known as classical, promised to revolutionize psychology and or symbolic, AI. But some was what is nowadays philosophy--and which, in the event, revolutionized called connectionist, studying networks technology too. In the late 1980s, however, it McCulloch and Pitts' paper ("A Logical Calculus blossomed--hitting the newsstands with of the Ideas Immanent in Nervous rash promises of "brainlike" computers just Activity") concentrated on how propositions around the corner. But both these forms of AI expressible in logic could be computed by share the same historical roots. Those nets consisted of So much for pedigree. But does a mere halfcentury cells passing inhibitory and excitatory messages of work count as a pedigree? Might it between them and acting as what computer rather be a mere blip, an unfortunate academic scientists (soon afterwards) called "and-mutation with no real intellectual fitness?


DAS: Intelligent Scheduling Systems for Shipbuilding

AI Magazine

Daewoo Shipbuilding Company, one of the largest shipbuilders in the world, has experienced great deal of trouble with the planning and scheduling of its production process. To solve the problems, from 1991 to 1993, Korea Advanced Institute of Science and Technology (KAIST) and Daewoo jointly conducted the Daewoo Shipbuilding Scheduling (das) Project. To integrate the scheduling expert systems for shipbuilding, we used a hierarchical scheduling architecture. To automate the dynamic spatial layout of objects in various areas of the shipyard, we developed spatial scheduling expert systems. For reliable estimation of person-hour requirements, we implemented the neural network-based person-hour estimator. In addition, we developed the paneled-block assembly shop scheduler and the long-range production planner. For this large-scale project, we devised a phased development strategy consisting of three phases: (1) vision revelation, (2) data-dependent realization, and (3) prospective enhancement. The DAS systems were successfully launched in January 1994 and are actively being used as indispensable systems in the shipyard, resulting in significant improvement in productivity and visible and positive effects in many areas.


Development of Self-Maintenance Photocopiers

AI Magazine

The traditional reliability design methods are imperfect because the designed systems aim at fewer faults, but once a fault happens, the systems might hard fail. To solve this problem, we present a self-maintenance machine (SMM), one that can maintain its functions flexibly even though faults occur. To achieve the capabilities of diagnosing and repair planning, a model-based approach that uses qualitative physics was proposed. Regarding the repair-executing capability, control-type repair strategy was followed. A prototype of the SMM was developed, and it succeeded in maintaining its functions if the structure did not change. However, the prototype revealed the following problems when its reasoning system was used with a commercial product as embedded software: (1) poor performance of the reasoning system, (2) system size that was too large, (3) low adaptability to environmental changes, and (4) roughness of qualitative repair operations. To solve these problems, we proposed new reasoning method based on virtual cases and fuzzy qualitative values. This methodology is one of knowledge compilation, which gives better reasoning performance and can deal with real-world applications such as the SMM. By using this method, we finally developed a commercial photocopier that has self-maintainability and is more robust against faults. The commercial version has been supplied worldwide as a product of Mita Industrial Co., Ltd., since April 1994.


AGETS MBR An Application of Model-Based Reasoning to Gas Turbine Diagnostics

AI Magazine

A common difficulty in diagnosing failures within Pratt & Whitney's F100-PW-100/200 gas turbine engine occurs when a fault in one part of a system -- comprising an engine, an airframe, a test cell, and automated ground engine test set (AGETS) equipment -- is manifested as an out-of-bound parameter elsewhere in the system. In such cases, the normal procedure is to run AGETS self-diagnostics on the abnormal parameter. However, because the self-diagnostics only test the specified local parameter, it will pass, leaving only the operators' experience and traditional fault-isolation manuals to locate the source of the problem in another part of the system. This article describes a diagnostic tool (that is, AGETS MBR), designed to overcome this problem by isolating failures using an overall system troubleshooting approach. AGETS MBR was developed jointly by personnel at Pratt & Whitney and United Technologies Research Center using an AI tool called the qualitative reasoning system (QRS).


AUTOCELL: An Intelligent Cellular Mobile Network Management System

AI Magazine

AUTOCELL is a system developed to assist in the operation and management of cellular mobile networks operated by Singapore Telecom. Its deployment is in line with the company's strategic move to introduce intelligent software into its operations. With the help of AI concepts and techniques, the system has enhanced the operational efficiency and network capacity and increased customer satisfaction with the network.


Financial Crimes Enforcement Network AI System (FAIS) Identifying Potential Money Laundering from Reports of Large Cash Transactions

AI Magazine

The Financial Crimes Enforcement Network (FIN-CEN) AI system (FAIS) links and evaluates reports of large cash transactions to identify potential money laundering. The objective of FAIS is to discover previously unknown, potentially high-value leads for possible investigation. FAIS integrates intelligent human and software agents in a cooperative discovery task on a very large data space. It is a complex system incorporating several aspects of AI technology, including rule-based reasoning and a blackboard. FAIS consists of an underlying database (that functions as a black-board), a graphic user interface, and several preprocessing and analysis modules. FAIS has been in operation at FINCEN since March 1993; a dedicated group of analysts process approximately 200,000 transactions a week, during which time over 400 investigative support reports corresponding to over $1 billion in potential laundered funds were developed. FAIS's unique analytic power arises primarily from a change in view of the underlying data from a transaction-oriented perspective to a subject-oriented (that is, person or organization) perspective.


The Workshop on Computational Dialectics

AI Magazine

Surely, scientific arguments Still, a full literature search of citations They are trivial, that is, when compared have their own special logic. of Rescher's 1977 monograph, to the defeasibility of open-textured Cavalli-Sforza has for a while been Dialectics, reveals no useful formal concepts, the logic of which interested in Toulmin's own attempts extension or clarification of the logical remains unanalyzed (says McCarty, to apply his work on argument to system prior to Brewka.