A new framework for designing evolved program execution control in distributed programs is discussed in the paper. the framework provides an infrastructure for designing distributed program control based on monitoring...
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Adaptability for distributed object-oriented enterprise frameworks in multimedia technology is a critical mission for system evolution. Today, building adaptive services is a complex task due to lack of adequate frame...
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Statistical process monitoring and control has been popularized throughout the manufacturing industry as well as various other industries interested in improving product quality and reducing costs. Advances in this fi...
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ISBN:
(纸本)9780791844311
Statistical process monitoring and control has been popularized throughout the manufacturing industry as well as various other industries interested in improving product quality and reducing costs. Advances in this field have focused primarily on more efficient ways for diagnosing faults, reducing variation, developing robust design techniques, and increasing sensor capabilities. System level advances are largely dependent on the introduction of new techniques in the listed areas. A unique system level quality control approach is introduced in this paper as a means to integrate rapidly advancing computing technology and analysis methods in manufacturing systems. Inspired by biological systems, the developed framework utilizes immunological principles as a means of developing self-healing algorithms and techniques for manufacturing assembly systems. the principles and techniques attained through this bio-mimicking approach will be used for autonomous monitoring, detection, diagnosis, prognosis, and control of station and system level faults, contrary to traditional systems that largely rely on final product measurements and expert analysis to eliminate process faults.
the purpose of this study is to investigate the effect of visualized programming on the learners' problem-solving abilities and logical reasoning skills. the subjects are six graders in Taipei city and they accept...
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this paper shows implementation of Data Acquisition System for Analog-to-Digital-Converters ADC and Digital-to-Analog-Converters DAC in LabView. this system was developed for purpose of evaluation of ADC's and DAC...
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In this paper an improved Mean-shift tracking algorithm based on adaptive multiple feature fusion is presented. A two-class variance ratio is employed to measure the discriminate between object and background. the mul...
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Recently, Gutiérrez-Naranjo and Leporati considered performing basic arithmetic operations on a new class of bioinspired computing devices - spiking neural P systems (for short, SN P systems). However, the binary...
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Proliferation of mobile devices and advance in pervasive computing are leading to an urgent demand on smart human-computer interaction (HCI). In this paper, we focus on a key issue of smart HCI that is multimodal and ...
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In recent years, wireless sensor network technology has been frequently used in various fields, thereby making it increasingly important to ensure that the data being transferred remains confidential. Symmetric-key cr...
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In photovoltaic (PV) generation systems, to get the maximum of the solar output power is the essential part to raise the efficiency of the whole system. A new Artificial Neural Network (ANN) based algorithm for Maximu...
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