LabVIEW is a versatile tool with various inbuilt toolkits to perform various measurement and control tasks. Hence, it is used in almost every field of engineering. However, it does not provide enough contribution in t...
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ISBN:
(纸本)9789811059032;9789811059025
LabVIEW is a versatile tool with various inbuilt toolkits to perform various measurement and control tasks. Hence, it is used in almost every field of engineering. However, it does not provide enough contribution in the field of optimization which is the major concern. It has only one optimizer based on differential evolution (DE) algorithm. Even though DE is a very effective global optimization technique, but its performance highly depends on parametric settings. DE contains high number of user-defined parameters;therefore, it becomes cumbersome for user to obtain best parametric settings for a given optimization problem. Recently, several nature-inspired algorithms are developed with reduced number of parametric settings to obtain the optimum solutions while solving complex black box optimization problems. Hence, to update the LabVIEW in the field of optimization, there exists a need of continuous development of other efficient global optimizers. Multi-verse optimizer (MVO) is considered as one of the latest but effective nature-inspired optimization algorithm with only two user-defined parameters. In this paper, MVO toolkit is developed for LabVIEW platflorm and the efficiency of the proposed toolkit is validated on a test bed of five standard benchmark functions. The statistical analysis of results shows that the MVO is far better in solving optimization problems as compared to DE.
With the rapid development of ultra-high voltage ac and dc projects (UHVAC/DC), a large-scale UHVAC/DC hybrid network has formed in China, increasing the controlcomplexity for power grid operation. To maintain such a...
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ISBN:
(纸本)9781538664612
With the rapid development of ultra-high voltage ac and dc projects (UHVAC/DC), a large-scale UHVAC/DC hybrid network has formed in China, increasing the controlcomplexity for power grid operation. To maintain such a complex power grid operate in the stable and safe states, the operation characteristics analysis of it is highly necessary and significant. However, until now, all the existing power grid simulation tools cannot complete this challenging mission suitably because of the requirements for high accuracy modeling, large-scale electro-magnetic transient simulation, and massive off-line calculation, etc. In order to solve the above-mentioned problems, the new generation UHVAC/DC power grid simulation platform (NGSP) architecture is proposed in this paper, and the detailed design schemes of NGSP is also presented. With the help of the proposed designs, the computing scale of NGSP is larger than 6000 nodes in digital-analog hybrid simulation, and the speed-up ratio is more than 3000 in digital simulation, which represents the most powerful power grid digital simulation capacity all over the world. And the comprehensively comparative results between simulation and engineering recorded data are presented to verify the correctness and effectiveness of NGSP. Moreover, the application effects of NGSP are also described in this paper to verify the practicability of NGSP.
This paper presents a sensorless scheme of a wind turbine driven doubly fed induction generator (DFIG) in standalone mode. The sensorless scheme is based on modified hill climb search (HCS) method and the system is im...
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In recent years technological progress and rapid growth of computational power have made it relatively easy to find solutions for most of the real-world problems connected to partial differential equations. However, e...
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ISBN:
(纸本)9781538647622
In recent years technological progress and rapid growth of computational power have made it relatively easy to find solutions for most of the real-world problems connected to partial differential equations. However, even nowadays researchers often struggle to effectively model diffusion processes in heterogeneous, complex media, where the most notable example can be fractal structures. The problem can become even more difficult for time-varying non-homogeneous media. Previous researches have shown that variable-order fractional calculus can be extremely useful in this particular area. Using such mathematical methods allows us to consider investigated medium as the homogeneous non-integer order structure, what can greatly decrease computational time without significant loss of accuracy. In the paper a non-integer variable-order model for heat diffusion in 2-dimensional fractal-like structure is presented. The paper addresses the relations between system order and number of iterations of fractal. Various types of order switching methods are investigated. The model is validated with numerical finite element method simulation. For investigated structure the obtained model is both fast and accurate way to predict heat transfer process results in time-varying environment.
With the rapid increase of port throughout, the number of vessels increases and the vessel traffic form become more complex. Therefore, how to realize the maximum utilization of limited navigation resources becomes on...
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There are some difficulties in analysing the actual thermal state of a building under changing conditions of the environment, particularly solar insolation. The methodological approach to overcoming these difficulties...
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Hammerstein model can finely express nonlinear characteristics of a practical process. But there is no general analytical method for the identification of Multiple-Input and Multiple-Output (MIMO) Hammerstein model, e...
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Curtailment algorithm for renewable energy sources interconnected to a power grid has been developed so that the oversupply in the power grid could be prevented. The algorithm consists of the optimization problem the ...
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Curtailment algorithm for renewable energy sources interconnected to a power grid has been developed so that the oversupply in the power grid could be prevented. The algorithm consists of the optimization problem the objective function of which is the equitable distribution of minimized curtailment. The energy loss due to the curtailment is applied to evaluating the equitable distribution of curtailment in the optimization problem. The proposed algorithm has been simulated by using the predicted value of load demand, thermal, wind, and photovoltaics generating units from June 2014 to March 2015. It was found that the oversupply is solved by the proposed algorithm and the energy loss for the renewable energy sources are distributed equitably. (C) 2018, IFAC (international Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.
In this paper, I presented a robust design solution for an efficient system that can calculate rebates that drug manufacturers offer to government and non-government organizations. Rebate management systems or RMS is ...
In this paper, I presented a robust design solution for an efficient system that can calculate rebates that drug manufacturers offer to government and non-government organizations. Rebate management systems or RMS is an integral part of pharmacy benefit management (PBM) industry. In the corporate world, IT is viewed as an enabler of business. IT provides an effective means to solve critical problems. Rebate calculation and sharing are a complex process that requires various methods and methodologies. I proposed a design solution for calculating rebates based on sound and effective methodologies. A rebate management system has a vast scope, and therefore it is not feasible to offer a complete solution in a single paper. In this paper, I presented a conceptual view of the entire rebate management system even though the proposed solution is for calculating rebates. Rebate calculation is part of a large and complex process that includes pre-processing, data setup, validations, market share calculation, rebate calculation, client share calculation, account receivable-payable calculation, and rebate payments. The overall view of the rebate management system is important to understand the rebate calculation design. I provided ample details about how my solution fits into the overall rebate management system.
Object proposal that detects candidate bounding boxes of objects in images is an effective way of accelerating object recognition in the robot/computer vision area. We propose an accurate and fast object proposal meth...
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ISBN:
(纸本)9781538680940
Object proposal that detects candidate bounding boxes of objects in images is an effective way of accelerating object recognition in the robot/computer vision area. We propose an accurate and fast object proposal method using depth images. Existing proposal methods can be roughly divided into two categories: window scoring and object region extraction. The window scoring methods usually have higher efficiency than object region extraction methods. The previous methods using RGB images detect an excessive number of boxes due to edges of texture objects. These methods also may misdetect overlapping objects as one candidate bounding box. To tackle these problems, we propose a novel and effective objectness measure using depth images. The proposed method evaluates objectness by using depth boundary density difference between inner and outer regions of a candidate bounding box. We also consider the uniformity of the outer boundary density in a candidate bounding box to divide overlapping objects into individual candidate bounding boxes. Our reasonable assumption here is that the depth boundary of an object has a closed loop. Our experiments show significant performance gains over existing RGB and RGB-D object proposal methods on the challenging toy-dataset [1] of complex crowded scenes.
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