In order to scientifically solve the comprehensive optimization problem of highway construction project network plan, aiming at the problems and deficiencies existing in the traditional highway construction network ma...
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ISBN:
(数字)9798350393682
ISBN:
(纸本)9798350393699
In order to scientifically solve the comprehensive optimization problem of highway construction project network plan, aiming at the problems and deficiencies existing in the traditional highway construction network map optimization, this paper uses heuristic search algorithm and genetic algorithm to optimize and adjust the network plan of highway construction network optimization from three aspects of time, cost and resources, and establishes the corresponding mathematical model, At the same time, for the first time, from the perspective of the maximum benefit of highway engineering project, this paper attempts to comprehensively optimize the network diagram by considering three factors of time, cost and resources, establishes the corresponding mathematical model, and gives the specific solution method. Starting from the research on the geographical characteristics of Yuncheng City, integrating regional highway resources, this paper makes a beneficial discussion on the optimization of the network, level and cycle of township and organic villages connecting county and township roads, so as to improve the overall service level of the highway network to rural areas, so as to achieve the goal of township connecting class II and county-level roads, and organic villages connecting class IV and township-level roads.
Existing network link estimation methods generally assume that the network link status in the measurement is stationary, but this assumption is not always true in the real network. Thus they cannot provide desired est...
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Existing network link estimation methods generally assume that the network link status in the measurement is stationary, but this assumption is not always true in the real network. Thus they cannot provide desired estimation accuracies. To address the problem, in this paper, we propose a new methodology, which can accurately infer the packet loss rates of all links in the network and locate the non-stationary links. Through software simulation, we compare our method with a former inference algorithm (LIA). Experimental results show that the new algorithm can provide higher inference accuracy within the same computing time.
This paper presents a new approach to GPS-based navigation which offers significant improvement in antijam capability over traditional designs. The algorithms may be implemented at low cost in software in existing and...
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This paper presents a new approach to GPS-based navigation which offers significant improvement in antijam capability over traditional designs. The algorithms may be implemented at low cost in software in existing and future GPS receivers using, as inputs, postcorrelation I and Q data and, optionally, raw data from other sensors. Traditional systems are not optimal at high jammer-to-signal (J/S) ratios as a consequence of modular design, use of traditional fixed-gain or gain-scheduled tracking loops, and use of artificial moding logic. The approach described here employs a nonlinear filter that operates efficiently at all J/S levels. Filter gains continuously adapt to changes in the J/S environment, and the error covariance propagation is driven directly by measurements to enhance robustness under high jamming and dynamics conditions. Extended-range correlation may be optionally included to increase the code tracking loss-of-lock threshold under high jamming scenarios. Computational complexity is comparable to an extended Kalman filter. Results of hardware-in-the-loop simulations are presented which demonstrate improvements of 15 dB or more in antijam capability relative to traditional designs.
In this paper we propose a quadratic dynamic programming algorithm applied in software testing domain, more specific in the test case selection decision making. We addressed a specific problem in software testing: run...
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In this paper we propose a quadratic dynamic programming algorithm applied in software testing domain, more specific in the test case selection decision making. We addressed a specific problem in software testing: running a subset of test cases from the whole set of available test cases in a limited time frame with the goal of maximizing the chances of finding potential defects. We employed both objective methods as the dynamic programming algorithm and subjective and empiric human decision as defining the selection and prioritization criteria. The proposed solution is suited for medium to large projects where in the worst-case scenarios the memory space complexity of the proposed algorithm does not exceed the order of GBytes. The proposed optimization algorithm is presented in pseudocode along with the dynamic programming recurrence formula and potential selection criteria as currently used in the industry.
The adequacy assessment is a topical tool for planning the progress of electric power systems and includes several important calculation steps, namely: the formation of random states, minimization of power shortages, ...
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ISBN:
(纸本)9781665464819
The adequacy assessment is a topical tool for planning the progress of electric power systems and includes several important calculation steps, namely: the formation of random states, minimization of power shortages, and determination of reliability indicators. Modern software complexes use various types of models for minimizing power shortages, flow, including linear and non-linear models, as well as appropriate methods for solving problems based on these models. In current paper, differential evolution methods are used to solve nonlinear problems, and three options for adapting the known differential evolution algorithms DE, aDE and jDE to solving the problems are considered. An important part of the work is the analysis of existing and proposed options for modifying the mutation process. Which can be used in the above methods. The main changes include an additional check of compliance of mutant vectors with upper and lower constrains, and in case of their discrepancy, three options for correcting mutant vectors are considered. The experiments performed involved 3 and 7 node systems and showed the advantage of the implemented methods using the correction of the elements of mutant vectors in the form of an increase in the speed of solving problems up to 47% relative to the existing correction method. (Abstract)
This paper introduces a novel fault location method suitable for multi-voltage level microgrids using a unified set of equations. The proposed method depends on constructing the bus impedance matrix between the fault ...
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ISBN:
(纸本)9781728186481;9781728186498
This paper introduces a novel fault location method suitable for multi-voltage level microgrids using a unified set of equations. The proposed method depends on constructing the bus impedance matrix between the fault point and the nearest bus using the measurements of MicroPMUs located at both buses of the faulted line. To introduce a complete protection algorithm, the proposed fault location method is combined with a previously introduced fault detection method. The proposed complete protection algorithm can accurately detect and locate any type of faults in both islanded and grid-connected modes considering economical implementation. Finally, the proposed algorithm is tested using MATLAB and ETAP software for symmetrical and asymmetrical faults in multi-level microgrids and found effective in any configuration.
In this paper, we present a platform for system on chip (SoC) implementation that is suitable for telecommunication applications. To build the platform, we have adopted the OpenCores-Openhardware design concept. The b...
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In this paper, we present a platform for system on chip (SoC) implementation that is suitable for telecommunication applications. To build the platform, we have adopted the OpenCores-Openhardware design concept. The benefit of using the OpenCores methodology is flexibility, reuse and accessibility of the cores at free cost. We demonstrate how the open hardware trend can help designers to build complex integrated circuits such as SoCs at low cost. To test the platform, our first application is a SoC implementation of a Voice Over IP (VoIP) Gateway. The first preliminary results show that the whole SoC can be implemented in the field programmable gate array (FPGA) -^sXC2V1000 circuit.
Neural networks provide a solution to overcome drawbacks of the quantitative fault diagnosis because first, they are capable to model off-line the behaviour of linear and non-linear systems. Secondly, they can also le...
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Neural networks provide a solution to overcome drawbacks of the quantitative fault diagnosis because first, they are capable to model off-line the behaviour of linear and non-linear systems. Secondly, they can also learn on-line the behaviour of a system requiring no priori knowledge about the system. The neural networks are particularly good for fault diagnosis of systems that have imperfect models and/or incomplete data. There are two basic learning methods of neural networks that are applied to fault diagnosis: supervised and unsupervised learning methods. To solve problem of priori unknown faults, unsupervised learning is used. The Counterpropagation network was selected to diagnose faults as result of analysis of supervised and unsupervised learning methods applied to neural networks.
Research in autonomous robotics relies on simulators for two main reasons: simulators provide support for the fast prototyping of software algorithm, and they often are a "surrogate" in multi-robot systems w...
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Research in autonomous robotics relies on simulators for two main reasons: simulators provide support for the fast prototyping of software algorithm, and they often are a "surrogate" in multi-robot systems when it is not feasible to build a whole robot team to carry out research on coordinated/cooperative behaviours. This paper describes AE-Sim, a simulator which we developed to emulate the main features of our "artificial ecosystem" approach, in which robots are thought of as mobile units within an intelligent environment where they coexist and co-operate with plenty of fixed, intelligent devices that are assigned different roles: helping the robot to localize itself, controlling automated doors and elevators, detecting emergency situations, etc
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