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The deployment of Wireless Sensor Networks to support optimal coverage is obviously a fastidious task, especially in hard to reach or inaccessible area. To address this problem, simplifying assumptions and simulations are commonly used techniques. However, these techniques may not be able to capture all the details about the problem to be solved. Hence, transition from the simulation to the actual...
Deployment of wireless sensor nodes can follow a Gaussian or a uniform distribution. In a given sensing field, sensor nodes can often be grouped into non overlapping subsets called clusters. Gaussian distribution is preferably used for realistic applications and can provide a reduction in energy hole problem and enhance intrusion detection capability. In this research paper, we proposed the cluster...
Given the soaring amount of data being generated daily, graph mining tasks are becoming increasingly challenging, leading to tremendous demand for summarization techniques. Feature selection is a representative approach that simplifies a dataset by choosing features that are relevant to a specific task, such as classification, prediction, and anomaly detection. Although it can be viewed as a way to...
There will always have a greater residual stress in the processing process of the micromechanical gyroscopes straight elastic-beam. affecting the performance of micromechanical gyroscopes. According to the principle of stiffness equivalence, the original elastic-beam of the micromechanical gyroscope is improved to the beam of drive as the U-beam and sense as the carb-leg beam by the combination of...
This paper proposes the application of multiobjective model predictive control to achieve a dynamic optimization of boiler combustion system. The utopia point of the multi-objective model predictive control system is firstly calculated, and the optimal control sequence is then determined by finding the trade-off solution closed to the utopia point. By using this approach, the arbitrary weighting functions,...
Dead-time effect of dual active bridge (DAB) DC-DC converter is usually out of consideration in traditional optimized strategies, causing the deviation of the theoretical and actual results. In this paper, the current stress model of DAB with dead-time effect is given, and combining the transmission power model, a current-stress-optimized strategy is proposed. Meanwhile, the corresponding control...
This paper is about the impact of modeling the temperature distribution of machine designs on the results for respective optimization scenarios. In the past, a lot of machine design optimizations were presented, but just a small share considers modeling of the temperature characteristics. In order to study the impact of including a temperature model, a test scenario was investigated that features...
The interleaved converter has may advantages such as low power losses and small output current ripple. The output current ripple of interleaved converter is the key parameter for the filter inductor design and the overall converter optimization. In this paper, the output current ripple behavior of interleaved Buck converter is analyzed, both in CCM and DCM. Further, a simplified numerical method for...
This paper presents a design method for domestic induction systems whose winding is considerably farther from its load. To this end, a parametrized finite element model is used to ascertain the system's parameters. This model is used to test variations in frequency, inductor-load distance and inductor diameter. From simulation results, efficiency, output power, power loss volumetric density and near...
With the rapid development of big data analytics in online marketing, real-time bidding (RTB) has emerged as a promising business model in recent years, and now becomes one of the major online advertising channels. Based on analysis of Web Cookies, RTB platforms are able to precisely identify the features and preferences of target audiences visiting publishers' websites, and forward the generated...
With the accelerated urbanization process in China, more and more attention has been paid to residential environment quality. How to improve atmospheric quality, accelerate pollutant emission and reduce resource consumption by rationalizing layout is one of the most important issues in developing a healthy community. Based on the method of fluent flow field simulation, this paper chooses and analyzes...
Pumping optimization in water distribution networks means to schedule the ON/OFF status of pumps over a typical operating cycle, pursuing the minimum energy cost for pumping and matching technical requirements, e.g. sufficient pressure to satisfy customers' water requests, null water deficit at tanks, avoid complete emptying and overflows of tanks. In aged water distribution networks, pump scheduling...
The estimation of the domain of attraction of a class of susceptible-infectious-removed-susceptible immigration is investigated. On assumption the disease-free equilibrium and the endemic equilibrium existences, hence a Lyapunov function too, the domain of attraction of the epidemic model is estimated by means of LF-LMI-moment and SOS optimization approaches. An invariant subset of the domain of attraction,...
The problems of control applied investment processes under risk conditions are considered. Firstly, theoretical considerations given regarding the formulation and approximate solution of the optimization problem in the presence of finite series of observation of the flow of the process. □ Secondly, we present the results of the computational experiments.
The paper analyzes the approaches to the integration of decision support systems (DSS) with computer models of domains. The approach to the integration of models created in LabView is proposed. It shows how to implement the integration patterns in specific DSS: “Kosmos” and DSS WS-DSS.
Dual-active-bridge (DAB) DC-DC isolated converter is widely used in many applications e.g. power supplies, transportations and renewable power systems. In this paper, general modulation characterization and optimization of DAB converters have been analyzed and advanced modulation methods are proposed. Simulations and experiments are implemented to verify the effectiveness of the proposed modulation...
Job shop scheduling problem is a hot spot in today's intelligent manufacturing. Therefore, how to get JSSP optimal solution is a key problem in this field. The development of genetic algorithm has been relatively mature, and gets a better result in JSSP. However, the relevant research on how to further optimize on this basis is still relatively less. In order to improve the solution quality of genetic...
In order to reduce the inherent defects and complexity of the multi-AGV system, a new guide-path configuration of mixed regional control module and its path scheduling is investigated. By a scheme of the shortest waiting time for the task, the efficiency of the system running time is achieved in the multi-AGV system. By a distributed coordination control approach, the conflicts and deadlocks between...
This paper investigates the evolutionary dynamic and strategy optimization for a type of public goods games. First, by using semi-tensor product of matrices method, the evolutionary dynamics of the public goods games is converted into a standard Markovian chain, based on which, many properties of the game's evolutionary behaviour can be revealed. Secondly, the strategy optimization problem is considered...
This article presents a developmental method to identify the maximum pose error for Stewart platform. The pose error is mainly caused by installation errors, joint clearance errors and the actuation errors. The relationship between pose error and installation errors, as well as branch length errors, are derived from inverse kinematic equations. Utilizing D-H (Denavit-Hartenberg) matrix differential...
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