This work proposes itself through mathematical modeling, simulating the electrical interactions between two electrical generators, an induction generator and a synchronous generator connected to a common bus in steady...
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ISBN:
(纸本)9781467387576
This work proposes itself through mathematical modeling, simulating the electrical interactions between two electrical generators, an induction generator and a synchronous generator connected to a common bus in steady state, subject to non-linear load. By comparing the modeling of the two machines, we can see that the induction generator will present best way for the harmonic currents flowing in common bus. Experimental tests have confirmed the results of comparative modeling of the electric generators. It was evident that the induction generator, in addition to increasing the active power to the electrical system, could reduce current harmonics components present at the connection point improving the voltage profile in the network.
We propose an EGI/IMU integrated smoothing algorithm based on extended Kalman filter (EKF) for synthetic aperture radar (SAR) motion compensation. Conventional navigation algorithms have discontinuities intrinsically ...
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ISBN:
(纸本)9781479999767
We propose an EGI/IMU integrated smoothing algorithm based on extended Kalman filter (EKF) for synthetic aperture radar (SAR) motion compensation. Conventional navigation algorithms have discontinuities intrinsically which are caused by the measurement update done by the Kalman filter. The discontinuities are as harmful to the SAR image quality significantly as the relative position error. In order to eliminate discontinuities and to reduce relative position error, an additional inertial measurement unit (IMU) is used with master embedded GNSS inertial navigation system (EGI). The additional IMU contributes to smoother output and navigation accuracy. The error correction by EKF is performed gradually between measurement updates, which significantly improves the smoothing performance. Through Monte-Carlo simulation, the performance improvements in relative accuracy and continuity are confirmed.
In a mixed environment of autonomous driverless vehicles and human driven vehicles operating on the same road, identifying intentions of human drivers and interacting with them in a compliant and responsible manner be...
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In a mixed environment of autonomous driverless vehicles and human driven vehicles operating on the same road, identifying intentions of human drivers and interacting with them in a compliant and responsible manner becomes a challenging problem for the driverless vehicles. In this paper, the problem of vehicle interaction at an intersection merging scenario is formulated as an Intention-Aware motion planning problem using the tools from Mixed Observability Markov Decision Process (MOMDP). We utilize the tools from recent intention aware planning framework to demonstrate a merging behavior in the presence of human drivers by trying to infer and act according to the intentions of the human drivers. A driver behavior model for T-junction intersections is developed in order to calculate the probabilistic state transition functions of the MOMDP model. With proposed solution, it is demonstrated that using intention aware planning improves performance in comparison to present time to merge approach by lowering accident probability and intersection navigation duration. The proposed method is tested on a real autonomous vehicle (AV) in the presence of human driven vehicles to validate our approach.
This paper developed a Finite Capacity Scheduling (FCS) system for make-pack production based on a real case of an adhesive factory. The FCS determines production quantity of each machine to conform with resource capa...
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This paper developed a Finite Capacity Scheduling (FCS) system for make-pack production based on a real case of an adhesive factory. The FCS determines production quantity of each machine to conform with resource capacities and due date of customer orders while minimizes related total cost. The total cost includes total production, inventory, and cleaning cost. A Mixed Integer Linear programming (MILP) model is formulated and solved by LINGO software. The computational time is very long since the model has a lot of integer variables. Thus, the model is solved for a reasonable time and the best but not optimal solution is reported with the lower bound. This paper tries fixed horizon and rolling horizon scheduling methods. The fixed horizon plans for an entire horizon of 30 days. The rolling horizon plans for a sub-horizon of 10, 15, and 17 days. An overlapping of sub-horizons is applied to reduce end-of-horizon effect. Three scenarios (high, normal, and low) of demands are considered. The fixed horizon method is applied first to all scenarios of demand. If the best solution is far away from the lower bound, the rolling horizon method is applied. The results indicated that the rolling horizon method may significantly reduce the total cost with the same computational time. Moreover, the rolling horizon method is more applicable for a dynamic situation where customers frequently change orders. The proposed MILP model can generate reasonable solutions and they are useful for scheduling decision of make- pack production.
The focus of this technical manuscript is a record of the specific role of microstructure and test specimen orientation on cyclic stress response, cyclic strain resistance, and cyclic stress versus strain response, de...
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The gravitational search algorithm (GSA) is a stochastic population-based metaheuristic inspired by the interaction of masses via Newtonian gravity law. In this paper, we propose a modified GSA (MGSA) based on logarit...
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ISBN:
(纸本)9781450328814
The gravitational search algorithm (GSA) is a stochastic population-based metaheuristic inspired by the interaction of masses via Newtonian gravity law. In this paper, we propose a modified GSA (MGSA) based on logarithm and Gaussian signals for enhancing the performance of standard GSA. To evaluate the performance of the proposed MGSA, well-known benchmark functions in the literature are optimized using the proposed MGSA, and provides comparisons with the standard GSA.
In this paper, the results of a study on microstructural influences on cyclic strain response, deformation and fracture behavior of an alloy steel is presented Cyclic strain resistance exhibited a linear trend for the...
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ISBN:
(纸本)9781119041481
In this paper, the results of a study on microstructural influences on cyclic strain response, deformation and fracture behavior of an alloy steel is presented Cyclic strain resistance exhibited a linear trend for the variation of both elastic strain amplitude with reversals-to-failure, and plastic strain amplitude with reversals-to-failure. Fracture morphology was observed to be the same at the macroscopic level over the entire range of cyclic strain amplitudes examined. However, at the fine microscopic level this alloy steel revealed fracture to be mixed-mode with features reminiscent of "locally" ductile and brittle failure mechanisms. The mechanisms governing strain response at the fine microscopic level, resultant fatigue life, and final fracture behavior are presented and discussed in light of the mutually interactive influences of intrinsic microstructural effects, deformation characteristics of the microstructural constituents during fully-reversed strain cycling, magnitude of cyclic strain amplitude, and resultant fatigue life.
Energy consumption of buildings worldwide has steadily increased over the past couple of decades. Furthermore, energy performance of buildings is one of the factors that contribute to energy waste and its perennial ad...
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ISBN:
(纸本)9780983762430
Energy consumption of buildings worldwide has steadily increased over the past couple of decades. Furthermore, energy performance of buildings is one of the factors that contribute to energy waste and its perennial adverse impact on the environment. This paper presents a data mining approach for assessing the heating and cooling requirements of residential buildings. The proposed approach combines Artificial Neural Networks (ANNs) and cluster analysis to assess and predict the heating and cooling energy efficiency of residential buildings. The ANN-based model uses eight input variables (i.e., relative compactness, surface area, wall area, roof area, overall height, orientation, glazing area, and glazing area distribution) to predict both the heating and cooling loads of residential buildings. Buildings are then clustered based on the output variables using the K-means clustering method. The proposed approach is used to assess and evaluate 768 diverse residential buildings based on simulated literature data. The research results showed that the proposed approach can effectively predict the heating and cooling requirements of residential buildings based on the input variables considered with a very high level of accuracy.
This work examines buckling and kink-band formation in graphene nanosheets(GNSs).GNSs are nano-scale flakes composed of graphene *** graphite was first made, which can be torn apart into GNSs by sonication.A simple bu...
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This work examines buckling and kink-band formation in graphene nanosheets(GNSs).GNSs are nano-scale flakes composed of graphene *** graphite was first made, which can be torn apart into GNSs by sonication.A simple but effective approach was adopted to incur buckling in *** observations revealed three major modes: the kinking induced by bending, the bulging, and the kink-band caused by in-plane *** conditions to cause these modes are *** buckled, the graphene layers undergo sharp ***, the graphene layers can survive kinking without fracture due to their exceptional *** kink-band in GNSs resembles the kink-band in carbon-fiber ***, the scale, the material properties, the micro-structures, and the energy terms involved in forming the kink-band are different.
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