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Bayesian optimization has been demonstrated as an effective methodology for the global optimization. However, it suffers from a computational bottleneck that the inference time grows cubically with the number of observations. In this paper, a Bayesian optimization based on the data-parallel approach is proposed to alleviate this problem. Firstly, an improved geometry motivated clustering algorithm...
In this paper, a new modular linear flux-switching permanent magnet machine is presented. The operation principle is illustrated in detail. The electromagnetic performance analysis of the machine is carried out by the finite-element method. To investigate the influence of the mover pole pitch to stator pole pitch ratio on the new modular machine, the proposed machines with three different ratios are...
This paper is concerned with the problem of robust stabilization of linear differential inclusions (LDIs) subject to actuator saturation. A family of continuous controllers based on a parameter-dependent quadratic Lyapunov function (LF) are designed for a given worst-case disturbance while complying the saturation bounds. Based on the closed-loop behavior, the controller is selected such that the...
In order to improve the reliability and viability, advanced aircraft is equipped with abundant multiple control surfaces. Control allocation is utilized to assign the virtual control torque to these redundant control surfaces. Due to physical and aerodynamic factors, there are some constraints impacting on each control surface, which makes the control allocation problem become more complex. In this...
Centralized joint processing has been demonstrated to achieve significant performance gain over the conventional per-cell processing by avoiding the inter-cell interference in cloud radio access networks (C-RANs), but full scale cooperation over the entire network is infeasible due to its huge computational complexity. The goal of this paper is to design remote radio head (RRH) clustering and the...
A multiple order model migration (MOMM) algorithm and optimal model selection strategy are proposed here for rapid model development and online glucose prediction. First, the optimal model order is determined for each input and a multiple order prediction model is used. Then a MOMM algorithm is developed based on particle swarm optimization to simultaneously revise multiple parameters. The multiple...
In this paper, we study the delay-aware access control of massive random access for machine-type communications (MTC). We model this stochastic optimization problem as an infinite horizon average cost Markov decision process. To deal with the distributive requirement and the exponential computational complexity, we first exploit the property of successful access probability to transform the coupling...
Predicting microblog user retweet behaviors is the basis of building the information diffusion model in microblog social networks. In order to improve the accuracy of predicting user retweet behaviors, under the MRF (Markov Random Field) framework, the paper comprehensively analyzes the effects on user retweet behaviors caused by various features (e.g., user attributes and microblog contents) and...
In this paper, the power consumption of the integrated circuit is discussed. At first, take CMOS integrated circuit as an example, we analyze the source and composition of the power consumption of the integrated circuit and then, we elaborate on the optimization of the integrated circuit on system level, algorithm level and structure level, RTL level, gate level, transistor level, process level and...
In the printed circuit board (PCB) of high-speed optical transceiver module, the signal transmission speed is limited by many effects. In a multilayer PCB, a through-hole via is usually used to connect the signal path between the upper-layer and lower-layer. The impedance of signal path in PCB significantly influences on the signal performance. While the impedance of through-hole via mismatches with...
Analysis of fuel consumption on orbit satellite is presented. The fuel consumption model is nonlinear based on the orbit thruster and attitude control thrusters' misalignment, and is assumed to have unknown dynamics. The issue regarding as the fuel consumption of orbit optimization can be converted to multi-variable optimization with constraint. A modification of the Analytic Hierarchy Process (AHP)...
Robust Unit Commitment (UC) model has been intensively investigated as an effective approach to hedge against randomness and risks. All existing robust UC formulations consider uncertainties in demand and/or cost. We observe that, nevertheless, a power system could be seriously affected by surrounding temperature and there is a strong relationship among the efficiency of gas generators, demand and...
An improved cloud resource revenue optimization models are proposed, which include the benefits of service providers and users negotiate SLA agreement. And the models define the constraint mechanism for describing service quality problems such as service response time and customer satisfaction. We design the comprehensive response indicator and use this indicator to quantify the rationality of the...
For the first time, re-provisioning is introduced into advanced reservation enabled optical transport networks as a novel perspective for optimization. Demonstration results show parallel service re-provisioning (PSRP) can improve the efficiency of network resource significantly.
Thermal issue is becoming more and more serious when integrated circuits (IC) further explores along the road of More Moore with dramatic increments of integration degree and power density. Thermal management, including thermal design, modeling, and optimization, has been an important concern in the system-level design of 3D IC. Current thermal modeling for a system level 3D IC design usually relies...
Classical dictionary learning algorithms that rely on a single source of information have been successfully used for the discriminative tasks. However, exploiting multiple sources has demonstrated its effectiveness in solving challenging real-world situations. We propose a new framework for feature fusion to achieve better classification performance as compared to the case where individual sources...
In order to improve productivity and solve the Potential shortage of skilled workers in polishing manufacturing, a new type multi-station rotary polishing robot was proposed. The robot structure was discussed in some detail, the kinematics and inverse kinematics of this robot was analyzed By D-H parameter method. The maximum and minimum value in X, Y and Z direction of this robot work space was calculated...
In this paper, we propose a novel channel impulse response (CIR) clustering algorithm using a sparsity-based method, which exploits the feature of CIR that power of multipath component (MPC) is exponentially decreasing with increasing delay. We first use a sparsity-based optimization to recover CIRs, which can be well solved by using reweighted L1 minimization. Then a heuristic approach is provided...
In this paper, we investigate energy cooperation among sustainable cooperative relay nodes, which adopt decode- and-forward (DF) relaying. The relay nodes work on either information decoding (ID) mode or energy harvesting (EH) mode when receiving the signal from the source. Due to different harvested energy at the relay nodes, effective energy cooperation can benefit the energy efficiency, but suffer...
This paper investigates a new strategy to best deploy road side units so that their spatio-temporal coverage is maximized under a limited budget. For the first time in the literature, we consider three different RSU deployment strategies in a single framework, on static locations, public mobile transportation, and fully controllable vehicles. We first introduce a new strategy to abstract a map of...
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