Intelligent manufacturing

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  • As an innovative IP surveillance manufacturer, PiXORD proudly announces that new technologies will be implemented to its product line, offering cutting edge features and benefits with intelligent products. Intelligent features such as Tracking, Object Loss, Unattended Object, Traffic Counting, and Human versus Object differentiation embedded solutions will be offered as part of PiXORD’s product line. Video analytics enhances the capability of video surveillance by automating the task of identifying events that may require particular attention and alertness in the monitored environment. ...

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  • Tham khảo sách 'sensing, intelligence, motion', kỹ thuật - công nghệ, cơ khí - chế tạo máy phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả

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  • In design of a flexible manufacturing system (FMS), different combinations of scheduling rules can be applied to its simulation model. Each combination satisfies a very limited number of performance measures (PM). Evaluation of scheduling rules is an inevitable task for any scheduler. This chapter explains a framework for evaluation of scheduling using pair-wise comparison multi-criterion decision-making techniques and fuzzy set theory.

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  • In this book, a set of relevant, updated and selected papers in the field of automation and robotics are presented. These papers describe projects where topics of artificial intelligence, modeling and simulation process, target tracking algorithms, kinematic constraints of the closed loops, non-linear control, are used in advanced and recent research. Also, the lecturer can find some of the new methodologies applied to solve complex problems in the field of control and robotic research fields....

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  • Until relatively recent times, most periods of technological development have been linked to changes in the use of materials (eg the stone, bronze and iron ages). In more recent years the driving force for technological change in many respects has shifted towards information technology. This is amply illustrated by the way the humble microprocessor has built intelligence into everyday domestic appliances.

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  • Computational intelligence refers to intelligence artificially realised through computation. Artificial intelligence emerged as a computer science discipline in the mid-1950s. Since then, it has produced a number of powerful tools, some of which are used in engineering to solve difficult problems normally requiring human intelligence. Five of these tools are reviewed in this chapter with examples of applications in engineering and manufacturing: knowledge-based systems, fuzzy logic,

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  • Process planning represents the link between engineering design and shop floor manufacturing. More specifically, it is the function within a manufacturing facility that establishes the processes and process parameters to be used in order to convert a piece-part from its original form to a final form

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  • Introduction Modeling and Design of Manufacturing Systems Modeling, Planning, and Scheduling of Manufacturing Processes Monitoring and Control of Manufacturing Processes Quality Control, Quality Assurance, and Fault Diagnosis Concluding Remarks Abstract In recent years, artificial neural networks have been applied to solve a variety of problems in numerous areas of manufacturing at both system and process levels. The manufacturing applications of neural networks comprise the design of manufacturing systems (including part-family and machine-cell formation for...

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  • In recent years, artificial neural networks have been applied to solve a variety of problems in numerous areas of manufacturing at both system and process levels.

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  • Global competition and rapidly changing customer requirements are forcing major changes in the production styles and configuration of manufacturing organizations. Increasingly, traditional

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  • To reduce operating costs and improve product quality are two objectives for the modern manufacturing industries, so most manufacturing systems are fast converting to fully automated environments such as computer integrated manufacturing (CIM) and flexible manufacturing systems (FMS). However, many manufacturing processes involve some aspects of metal cutting operations. The most crucial and determining factor to successful

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  • Intelligent Set-Up Planning Systems for Parts Production in Manufacturing Systems

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  • Suresh, Nallan C. "Neural Network Applications for Group Technology and Cellular Manufacturing" Computational Intelligence in Manufacturing Handbook Edited by Jun Wang et al Boca Raton: CRC Press LLC,2001 .4 Neural Network Applications for Group Technology and Cellular Manufacturing Nallan C. Suresh State University of New York at Buffalo University of Groningen 4.1 4.2 4.3 4.4 Introduction Artificial Neural Networks A Taxonomy of Neural Network Application for GT/CM Conclusions 4.

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  • Introduction to Neural Network Predictive Process Models In a broad sense, predictive models describe the functional relationship between input and output variables of a data set. When dealing with real-world manufacturing applications, it is usually not an easy task to precisely define the set of input variables that potentially affect the output variables for a particular process. Oftentimes, this is

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  • Global credit squeeze, escalating political tensions and monetary tightening will weigh on economic growth in 2008. From 2006 to 2007, the annual growth rate decreased from 6.9% to 4.5%. Slower growth in 2007 was attributable to the strength of the Turkish currency, which hurt the export industry, the delayed effects of monetary tightening in mid-2006 and a drought-related drop in agricultural output. The most significant slowdowns in growth in 2007 were in agriculture, construction and manufacturing.

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  • New knowledge and tools are constantly expanding the range of applications for semiconductor devices, integrated circuits, and electronic packages.

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  • Batch manufacturing is a dominant manufacturing activity in many industries due to the demand for product customization. The high level of product variety and small manufacturing lot sizes are the major

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  • Production scheduling problems concern the allocation of limited resources over time to perform tasks to satisfy certain criteria. Resources can be of a very different nature, for example, manpower, money, machines, tools, materials, energy, and so on. Tasks can have a variety of interpretations from machining parts in manufacturing systems up to processing information in computer systems. A task is usually

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  • The nature of today’s manufacturing systems is changing with greater speed than ever and is becoming tremendously sophisticated due to rapid changes in their environments that result from customer demand and reduced product life cycle. Accordingly, the systems have to be capable of responding to the rapid changes and solving the complex problems that occur in various manufacturing

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  • Monitoring and diagnosis play an important role in modern manufacturing engineering. They help to detect product defects and process/system malfunctions early, and hence, eliminate costly consequences. They also help to diagnose the root causes of the problems in design and production and hence minimize production loss and at the same time improve product quality. In the past decades, many monitoring and diagnosis methods have been developed, among which the

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