Intelligent coal stockpiles management system is significant for the next-generation cleaner power plants. Prevention of spontaneous combustion is a key issue for such a system, both in economic and environmental term...
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Intelligent coal stockpiles management system is significant for the next-generation cleaner power plants. Prevention of spontaneous combustion is a key issue for such a system, both in economic and environmental terms. As many factors can influence the self heating process of coal such as moisture and ash in coal, temperature distribution and stockpiles' shapes, the remaining ignition time is developed as an aggregative indicator to measure the tendencies of spontaneous coal combustion. Using this value, the grey models have been applied to forecast spontaneous combustion and their performances are good for systems with insufficient information. However, the forecasting accuracy of these models still needs to be improved. Therefore, the ABC-RGM(1,1) model is proposed in this work based on the rolling-GM(1,1) and the Artificial Bee Colony (ABC) optimization algorithm, which has been applied to the management system of a 4 x 600 MW power plant. The computational experiments show that the ABC-RGM(1,1) model achieves better performance than the other popular grey models and accuracy of forecast is greatly improved especially for short-term forecasts. Such an accurate model is highly important and useful for intelligent coal management systems which can improve decision making and reduce risk. (C) 2017 Elsevier Ltd. All rights reserved.
Despite being more flexible, robust, and scalable than single robot solutions, multi-robot systems suffer from a lack of democratization. Most applications are found in academia or rare avant-gardist military projects...
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A digital microfluidic biochip (DMFB) is an attractive technology platform for automating laboratory procedures in biochemistry. In recent years, DMFBs based on a microelectrodedot- array (MEDA) architecture have been...
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A digital microfluidic biochip (DMFB) is an attractive technology platform for automating laboratory procedures in biochemistry. In recent years, DMFBs based on a microelectrodedot- array (MEDA) architecture have been demonstrated. However, due to the inherent differences between today's DMFBs and MEDA, existing synthesis solutions for biochemistry mapping cannot be utilized for MEDA biochips. We present the first synthesis approach that can be used for MEDA biochips. We first present a general analytical model for droplet velocity and validate it experimentally using a fabricated MEDA biochip. We then present the proposed synthesis method targeting reservoir placement, operation scheduling, module placement, routing of droplets of various sizes, and diagonal movement of droplets in a two-dimensional array. Simulation results using benchmarks and experimental results using a fabricated MEDA biochip demonstrate the effectiveness of the proposed synthesis technique.
Optical second harmonic generation is a fundamental nonlinear effect with a large impact on laser technology and optical imaging/sensing. For most practical applications of second harmonic generation, high conversion ...
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Optical second harmonic generation is a fundamental nonlinear effect with a large impact on laser technology and optical imaging/sensing. For most practical applications of second harmonic generation, high conversion efficiency is required. However, many techniques used to achieve high efficiency are limited to fabrication methods and optical energy requirements. Here, we investigate and demonstrate substantial enhancement in the conversion efficiency of second harmonic generation in a nonlinear crystal via the application of wavefront shaping. In a one dimensional understanding of second harmonic generation, a phase offset applied to the fundamental wave has no effect on the intensity of the generated light. We show that when the pump field is not a plane wave, enhanced conversion efficiency can be controlled by the application of a phase mask to the fundamental beam. This investigation of the dependence of conversion efficiency upon the transverse phase profile of the incident pump laser yields the promise of new ways to enhance nonlinear generation with limited optical energy and without the need for specific fabrication techniques.
Artificial Bee Colony (ABC) algorithm has various features that make it more attractive than other algorithms. Particularly, it is simple, it uses fewer control parameters and its convergence is independent of the ini...
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Artificial Bee Colony (ABC) algorithm has various features that make it more attractive than other algorithms. Particularly, it is simple, it uses fewer control parameters and its convergence is independent of the initial conditions. In this paper, a new MPPT system has been suggested for photovoltaic (PV)-DC motor-pump system by designing two PI controllers via ABC algorithm. The first one is used to reach MPPT by monitoring the voltage and current of the PV array and adjusting the duty cycle of the DC/DC converter. The second PI controller is designed for speed control of DC series motor by setting the voltage fed to the DC series motor through another DC/DC converter. The suggested design problem of MPPT and speed controller is formulated as an optimization task which is solved by ABC to search for optimal parameters of PI controllers. Simulation results have shown the validity of the developed technique in delivering MPPT to DC series motor-pump system under atmospheric conditions and tracking the reference speed of motor. Moreover, the performance of the ABC algorithm is compared with Genetic algorithm (GA) for various disturbances to prove its robustness.
The recent evidence shows that production planning problems (e.g. lot sizing) in the manufacturing systems in general, and in the petrochemical sector in particular, can be very challenging. This fact, that the flows ...
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The recent evidence shows that production planning problems (e.g. lot sizing) in the manufacturing systems in general, and in the petrochemical sector in particular, can be very challenging. This fact, that the flows of chemical materials usually are continuous and the demands of chemical-petrochemical products inherently are uncertain, motivating researchers and practitioners to deal with stochastic lot sizing models in this manufacturing systems. This paper formulates such problems by taking distribution functions (discreet and continuous) into account. Moreover, lost sales are considered under the "static uncertainty" strategy. A solution methodology, additionally, is presented to determine the optimal timing and level of orders, when demand is defined by a discrete distribution function. To show the efficiency and effectiveness of proposed models and solution algorithm, a chemical-petrochemical case study as well as two other numerical example are described and solved. (C) 2017 The Society of Manufacturing Engineers. Published by Elsevier Ltd. All rights reserved.
In this correspondence, the problem of existing distributed rateless codes (DRC) with inaccurate degree distributions in the sources and the relay is addressed. Based on a well-known multiple-access relay network mode...
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In this correspondence, the problem of existing distributed rateless codes (DRC) with inaccurate degree distributions in the sources and the relay is addressed. Based on a well-known multiple-access relay network model, a generalized design of DRC (GDRC) is proposed by using optimization theory and heuristic Jacobian iterative algorithm, in which the interaction between the degree distributions in the sources and in the relay is considered. Our GDRC can be applied to Luby transfer codes or any other rateless codes that can be described with a degree distribution. Furthermore, a novel approach of designing GDRC with decreasing ripple size is proposed by directly analysing the interaction between the ripple size revolutions in the sources and in the relay. Our proposed scheme is evaluated and compared with existing schemes. It is shown that our proposed scheme exhibits reduced overhead, memory usage, bit error rate and energy consumption compared to the existing schemes.
Extremum-seeking guidance endeavors to drive the output of a system to the extremum of an unknown objective function. This paper proposes an extremum-seeking guidance algorithm on SO(3) for cases with and without incl...
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Extremum-seeking guidance endeavors to drive the output of a system to the extremum of an unknown objective function. This paper proposes an extremum-seeking guidance algorithm on SO(3) for cases with and without inclusion and exclusion zones. The gradient of the unknown objective function is estimated via a Kalman filter so that the extremum of the objective function can be approximated. To satisfy inclusion and exclusion zone constraints, two different constrained Kalman filters are proposed. The first Kalman filter is a gain-projected Kalman filter, and the second is a novel linear matrix inequality based Kalman filter that is able to accommodate a larger class of constraints. The proposed extremum-seeking guidance algorithm is demonstrated using a performance objective that relates a spacecraft's attitude to received power of an unknown radiation source using a patch antenna.
In ISO 14405-1, the global sizes, such as least-squares diameter, minimum circumscribed diameter and maximum inscribed diameter are defined. The diameters above can be measured by using cylindrical coordinate measurin...
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In ISO 14405-1, the global sizes, such as least-squares diameter, minimum circumscribed diameter and maximum inscribed diameter are defined. The diameters above can be measured by using cylindrical coordinate measuring method like the circular section measuring method of cylindricity error. The determination method of the least-squares diameter was firstly given based on the cylindrical measuring system, and the optimization models of the minimum circumscribed diameter and the maximum inscribed diameter were built, respectively. The corresponding objective functions were unified as "minimax" expressions. For the four axis parameters of the cylinder with the minimum circumscribed diameter or the maximum inscribed diameter, the searching ranges of cylinder's axis parameters for their optimal solutions were defined numerically. Thereafter, the genetic, steepest decent and BFGS-0.618 algorithms were introduced, and the optimization evaluation algorithms of two kinds of diameters mentioned above were given. Based on many cylinders' profiles obtained by the circular section measuring method on a measuring instrument of cylinder's global sizes which was developed by Zhongyuan University of Technology, Zhengzhou, China. The accuracy, efficiency and suitability of three optimization algorithms were investigated through the evaluation of a lot of the minimum circumscribed diameters and the maximum inscribed diameters. The measurement uncertainty of the global sizes for the cylindrical specimen was analyzed, and the measurement uncertainties of the sizes in the radial and z directions are +/- 0.95 mu m and +/- 0.5 mu m, respectively. The total measurement uncertainties of the global sizes of the cylindrical specimens with the specifications of phi 10 x 120 mm and phi 100 x 300 mm are +/- 3.8 mu m and +/- 5.7 mu m, respectively. The investigation results showed that for the evaluation of the globe sizes, any one of three algorithms above is not absolutely prior to the other two
An arc eliminator allows a surge current bypass rapidly into the earth to facilitate the circuit breaking process and increase the stability of the load circuit. Thomson coil actuator (TCA) is a type of actuator that ...
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An arc eliminator allows a surge current bypass rapidly into the earth to facilitate the circuit breaking process and increase the stability of the load circuit. Thomson coil actuator (TCA) is a type of actuator that can function as an arc eliminator. The TCA has a simple structure and significantly rapid speed compared to the other types of actuators. In this paper, significant variables, which have a dominant effect on the performance of the TCA, are investigated in detail. Using these variables and an optimization algorithm, an optimal design strategy for the TCA is proposed in this research. The efficacy of the proposed optimal design strategy and the feasibility of the application of the designed TCA for a high power circuit breaker as the arc eliminators are validated through the experiment.
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