With the development of modern industry, manual labor has been far from meeting the needs of modern industry. In recent years,with the development of artificial intelligence algorithms and other related field. Machine...
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ISBN:
(纸本)9783037859247
With the development of modern industry, manual labor has been far from meeting the needs of modern industry. In recent years,with the development of artificial intelligence algorithms and other related field. Machine vision has been applied in a wide field of industry. An overview of key machine vision system, and demonstrates some machine vision applications will be proposed in this paper.
Optimal design of the orientations and locations of collocated piezoelectric actuators/sensors pairs for a plate-like structure under bending load uncertainty are determined with the objective of minimizing the deflec...
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ISBN:
(纸本)9780769549323;9781467356527
Optimal design of the orientations and locations of collocated piezoelectric actuators/sensors pairs for a plate-like structure under bending load uncertainty are determined with the objective of minimizing the deflection and electrical input under any sort of loading. The bending moments generated by the piezoelectric actuator actuators are used for deflection control, i.e., to minimize the deflection. The plate-like structure is subjected to an arbitrary load which lies in an uncertainty domain with regard to its magnitude and direction. The uncertain loading studied in the present paper involves a load of unknown magnitude and direction, which should be determined to produce the arbitrary deflection. Two optimization variables are considered for each piezoelectric actuator/sensor device: the location of its center and its orientation. An optimal control algorithm and three types of artificial intelligence algorithms (AISOOL algorithm-artificial Immune Systems for optimization of orientations and locations of actuators;ACOPSOOOL algorithm-ACO and PSO for optimization of orientations and locations of actuators;HTOOL algorithm-Hopfield-Tank for optimization of orientations and locations of actuators;optimal control algorithm) are presented for the determination of the orientation and location of piezoelectric actuators/sensors in the application to shape control of plate-like structures. Numerical results show that simultaneous optimization of both orientations and locations can lead to optimum configurations that consume less electrical energy and minimizing the deflection. AISOOL algorithm can handle the optimization of orientations and locations of actuators/sensors better than ACOPSOOOL algorithm and HTOOL algorithm. The different algorithms exhibit similar performance. However, exhaustive ACOPSOOOL algorithm and HTOOL algorithm require significantly higher computational effort.
With the increasing demands are beyond the capacity of the power generation and the progressive demands for higher power quality, it requires for further study on distribution system reconfiguration. This paper descri...
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ISBN:
(纸本)9783037854150
With the increasing demands are beyond the capacity of the power generation and the progressive demands for higher power quality, it requires for further study on distribution system reconfiguration. This paper describes the distribution network reconfiguration algorithms in detail. The advantages and disadvantages of the various algorithms and improvement are also analyzed in this paper. At the end of the paper, the development directions of distribution network reconfiguration are discussed.
Optimal design of the orientations and locations of collocated piezoelectric actuators/sensors pairs for a plate-like structure under bending load uncertainty are determined with the objective of minimizing the deform...
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ISBN:
(纸本)9781467314602
Optimal design of the orientations and locations of collocated piezoelectric actuators/sensors pairs for a plate-like structure under bending load uncertainty are determined with the objective of minimizing the deformation and electrical input under any sort of loading. The bending moments generated by the piezoelectric actuator actuators are used for deformation control, i.e., to minimize the deformation. The plate-like structure is subjected to an arbitrary load which lies in an uncertainty domain with regard to its magnitude and direction. The uncertain loading studied in the present paper involves a load of unknown magnitude and direction, which should be determined to produce the arbitrary deformation. Two optimization variables are considered for each piezoelectric actuator/sensor device: the location of its center and its orientation. An optimal control algorithm and three types of artificial intelligence algorithms (PSOOOL algorithm-particle swarm optimization algorithm for optimization of orientations and locations of actuators;SAOOL algorithm-Simulated Annealing algorithm for optimization of orientations and locations of actuators;EMOOL algorithm-Electromagnetism-like Method for optimization of orientations and locations of actuators;optimal control algorithm) are presented for the determination of the orientation and location of piezoelectric actuators/sensors in the application to shape control of plate-like structures. Numerical results show that simultaneous optimization of both orientations and locations can lead to optimum configurations that consume less electrical energy and minimizing the deflection. SAOOL algorithm can handle the optimization of orientations and locations of actuators/sensors better than PSOOOL algorithm and EMOOL algorithm. The different algorithms exhibit similar performance. However, exhaustive EMOOL algorithm and PSOOOL algorithm require significantly higher computational effort.
reactive power optimization is a nonlinear,multivariable,multi-constrained programming problem,which makes the optimization process *** this paper,based on the characteristics of reactive power optimization,a mathemat...
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reactive power optimization is a nonlinear,multivariable,multi-constrained programming problem,which makes the optimization process *** this paper,based on the characteristics of reactive power optimization,a mathematical model of reactive power optimization,including comprehensive consideration of the practical constraints and reactive power regulation means for optimization,is *** particle swarm optimization (PSO) has been studied,and the method based on improved particle swarm optimization for reactive power is going to be taken in this *** for the IEEE 14-bus system proves that the improved PSO algorithm used in this paper for reactive power optimization is *** algorithm is simple,convergent and of high quality for optimization,and thus suitable for solving reactive power optimization problems,with some application prospect.
Based on the development of new sensors, optical fibre communication and computer technology, not only the improvement of traditional testing method but also the development of new monitoring methods and systems are r...
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ISBN:
(纸本)488686063X
Based on the development of new sensors, optical fibre communication and computer technology, not only the improvement of traditional testing method but also the development of new monitoring methods and systems are realized step by step. And introduction of statistics and more combined artificial intelligence algorithms, more correct and detailed faults may be diagnosed timely based on all sorts of data collected.
The internet world has created an era where any device can interconnect with each other. Gathering intelligence from streaming data is challenging and can create wonders and valuable innovations for humanity. The shor...
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The internet world has created an era where any device can interconnect with each other. Gathering intelligence from streaming data is challenging and can create wonders and valuable innovations for humanity. The shortcomings of connectivity due to the remote location of the cloud induce latency and performance issues in real-time. Thus, a traditional cloud may not be suitable for all applications. A secure, low latent bandwidth infrastructure under research led to Fog Computing. The fog nodes have limited resources, and effective utilization can boost the application’s performance. Ensuring effective routing of the tasks and load balancing among the nodes is essential and tedious in any network. Resource management becomes challenging due to heterogeneity, dynamic workload, unpredictability of the computing environment, etc. In such cases, using artificialintelligence (AI) can be promising, provided the complexity and the computing are handled. Proactive load handling based on the changes in network traffic has a huge scope for research. This paper gives a detailed survey of the various fog network architectures and the intelligent methodologies in resource allocation in a fog network using machine learning algorithms. Further, the paper shows the directions of research in intelligent resource allocation and handling.
Táto práca sa zaoberá riešením problému obchodného cestujúceho s časovými oknami. Problém spočíva v tom, že obchodný cestujúci musí prejsť každým d...
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Táto práca sa zaoberá riešením problému obchodného cestujúceho s časovými oknami. Problém spočíva v tom, že obchodný cestujúci musí prejsť každým definovaným miestom práve raz, a nakoniec sa vrátiť do pôvodného miesta za čo najnižšiu cenu trasy. Časové okná v tomto probléme definujú určité časové úseky, v ktorých môže byť každé konkrétne miesto navštívené, alebo sa môže stať, že v istom časovom úseku nebude existovať cesta medzi niektorými miestami. Práca sa zaoberá prehľadom tohto problému a problémov jemu podobných. Ďalej sa zaoberá popisom rôznych metód, ktorými tento problém možno riešiť. V rámci tejto práce bola tiež vytvorená aplikácia v programovacom jazyku Python, ktorá slúži na testovanie vybraných metód riešenia. Na záver sú vyhodnotené dané experimenty a porovnaná efektivita daných stratégií.
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