what is Expert system in industrial ?
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Expert System: \n\nA computer program that contains a\nknowledge base and a set of algorithms or rules that infer\nnew facts from knowledge and from incoming data.\n\nAn expert system is an artificial intelligence application\nthat uses a knowledge base of human expertise to aid in\nsolving problems. The degree of problem solving is based on\nthe quality of the data and rules obtained from the human\nexpert. Expert systems are designed to perform at a human\nexpert level. In practice, they will perform both well below\nand well above that of an individual expert.\n\nThe expert system derives its answers by running the knowledge base through an inference engine, a software program that interacts with the user and processes the results from the rules and data in the knowledge base.\nExpert systems are used in applications such as medical\ndiagnosis, equipment repair, investment analysis, financial,\nestate and insurance planning, route scheduling for delivery\nvehicles, contract bidding, counseling for self-service\ncustomers, production control and training.
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This expression is mostly used for buildings which contain a large amount of automation, far beyond the commercial timers and dimmers. \nAn Intelligent Building detects environmental criteria, occupants' numbers and habits, real time, and security considerations, in one integrated system that cross- communicates and considers  ALL  parameters to arrive to "decisions".
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c. Supercomputer\n\nTop500 supercomputer list is now full of culster systems.\nMany of them are cheap and definitely much cheaper than classic supercomputer solutions.
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A modern industrial robot is simply a 5 or 6 DOF (Degree Of Freedom) multi-axis machine running 4 or 5 motors under rotational coordinate controls.\n\nThe first industrial robots are identified by their use of hydraulic power and hydraulic servo motors for position and velocity control. Advances are the conversion to electric motors - first DC servo motors and now AC servos. The future is the use of linear motors.\n\nUse Yahoo and search under "Industrial Robots", "Cincinnati Milacron", "Hydraulic Robot" and see what pops up.
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I don't know how many you want, but fuzzy logic has been used in computer vision, time series prediction, sensor fusion, a wide variety of mechanical control applications (cranes, automobiles, trains, etc.), image processing, signal processing, etc.
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Data mining (or knowledge discovery) is an area of AI that looks at large amounts of data and tries to find patterns in it.  These patterns are not always intuitive and can help you find new relationships that are easily missed.\n\nhope this helps :-)
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I think you just need to go through this Wikipedia Page..\nIts really well maintained & with thorough explaination of various concepts..\nCheck: http://en.wikipedia.org/wiki/Portal:Artificial_intelligence
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Electronic data processing (also: Information Technology or IT) can refer to the use of automated methods to process commercial data. Typically, this uses relatively simple, repetitive activities to process large volumes of similar information. For example: stock updates applied to an inventory, banking transactions applied to account and customer master files, booking and ticketing transactions to an airline's reservation system, billing for utility services.\n\nToday\nAs with other industrial processes commercial IT has moved in all respects from a bespoke, craft-based industry where the product was tailored to fit the customer; to multi-use components taken off the shelf to find the best-fit in any situation. Mass-production has greatly reduced costs and IT is available to the smallest company or one-man band - or school-kid.\n\nLEO was hardware tailored for a single client. Today, Intel Pentium and compatible chips are standard and become parts of other components which are combined as needed. One individual change of note was the freeing of computers and removable storage from protected, air-filtered environments. Microsoft and IBM at various times have been influential enough to impose order on IT and the resultant standardisations allowed specialist software to flourish.\n\nSoftware is available off the shelf: apart from Microsoft products such as Office, or Lotus, there are also specialist packages for payroll and personnel management, account maintenance and customer management, to name a few. These are highly specialised and intricate components of larger environments, but they rely upon common conventions and interfaces.\n\nData storage has also standardised. Relational databases are developed by different suppliers to common formats and conventions. Common file formats can be shared by large main-frames and desk-top personal computers, allowing online, realtime input and validation.\n\nIn parallel, software development has fragmented. There are still specialist technicians, but these increasingly use standardised methodologies where outcomes are predictable and accessible. At the other end of the scale, any office manager can dabble in spreadsheets or databases and obtain acceptable results (but there are risks).\n\nRetrieved from "http://en.wikipedia.org/wiki/Electronic_data_processing"
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It is the science and engineering of making intelligent machines, especially intelligent computer programs. It is related to the similar task of using computers to understand human intelligence, but AI does not have to confine itself to methods that are biologically observable. \n Hope that helps you!
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The industry standard is Quark.  Very powerful software, and should allow you to do most anything you'll need.\nInformation on exact features and pricing (both personal and corporate) can be found at: http://www.quark.com/\nGood luck!
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Artificial Intellegence is a broad term that describes many programming techniques that mimic human thought. Things like expert systems, Alpha-Beta trees, and semantic networks.\n\nNeural Networks are formed from perceptrons that mimic a human neuron. So some inputs are fed to a perceptron and the perceptron weights them. If the output exceeds a threshold, the perceptron fires. The weights are the programming and there are ways to "learn" these weights from experience (for example, Hebb's learning rule). So neural networks can learn to read optical characters, for example, or play tic tac toe.\n\nOf course, AI can do the same thing, but AI techniques tend to be applied to more conventional programming techniques (how do we chain through rules, how do we examine the most number of game moves ahead). NN "learn" from training and experience how to get desired behaviors.
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This is the new term for industrial engineer.\n\nWork in this field (which is what I do!) is filled with statistics, process control, and quality adherance. You could spend days calculating BOMs, routings, optimizing capacity and schedules, or inventory. Many process engineers like puzzles and like to continue to work at the same problem, trying to improve on specific value measures over time- things like machine down time, usage rates and batch efficiencies, days on hand of inventory, etc.\n\nI find the field to be a more people oriented form of engineering, more interactive and creative. I migrated to it from the lab-techy engineering areas of chemical and mechanical. I enjoy it!
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It is the broad categories of industries\n\nFYI - the most common industry classification system has been the SIC code (U.S. Standard Industrial Classification) system...the U.S. government is trying to get folks to switch to their NAICS code (North American Industry Classification System) which was jointly developed by the U.S., Canada and Mexico...but, change happens slowly
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Specific techniques for representing knowledge about products and processes, and for reasoning formally about them. \nhttp://www2.info.ucl.ac.be/research/projects/AVL/ReqEng.html
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DSS\n\n(Decision Support System) An information and planning system that provides the ability to interrogate computers on an ad hoc basis, analyze information and predict the impact of decisions before they are made.\nDBMSs let you select data and derive information for reporting and analysis. Spreadsheets and modeling programs provide both analysis and "what if?" planning. However, any single application that supports decision making is not a DSS. A DSS is a cohesive and integrated set of programs that share data and information. A DSS might also retrieve industry data from external sources that can be compared and used for historical and statistical purposes. An integrated DSS directly impacts management's decision-making process and can be a very cost-beneficial computer application. See EIS and OLAP.
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Intelligence is defined by the ability to learn and reason. Artificial inteligence is basically a computer that can learn and reason without further input from a user. Typically, computers simply calculate and must be programmed to know how to calculate.
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international business machines