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Conventional radar generally uses fixed transmit waveform, which is difficult to obtain optimal target detection performance in the presence of interference. To solve this problem, a joint optimization algorithm of waveform and receiving filter for MIMO radar is proposed. Firstly, the maximization of output signal to interference plus noise ratio is used as objective function. The joint optimization...
A good initial guess is critical for the convergence of the steepest descent method. This paper presents a new method to estimate the initial guess of the near field phase. Based on image theory, tangential near fields on two scanning planes are linked by a radiation matrix. The radiation matrix is then scaled by the near field amplitudes. It is shown that the phase of an eigenvector of the scaled...
Given a positive integer k, a social network G and a certain propagation model M, influence maximization aims to find a set of k nodes that has the largest influence spread. The state-of-the-art method IMM is based on the reverse influence sampling (RIS) framework. By using the martingale technique, it greatly outperforms the previous methods in efficiency. However, IMM still has limitations in scalability...
In this study, the integrated delivery of agricultural product's production chain and marketing chain, and the optimization of integrated logistics chain are investigated. For this purpose, the vehicle routing problem with simultaneous pickup and delivery (VRPSPD) models for integrated delivery of agricultural product's production chain and marketing chain are established. Then, the established VRPSPD...
Swarm intelligence is defined as the properties of artificial systems. It is suited to depict people's daily behavior, such as social media users' behavior. Social media users have some characteristics. For one thing, users who have the same interest will focus on the same VIP (Very Important Person) users inside the industry. For another, the users concentrating on the same VIP user may focus on...
In this paper, we focus on how to make use of K-PSO(Particle Swarm Optimization) algorithm to improve efficiency of the ontology modularization method. As a bridge of man-machine semantic interaction, ontology has an important status of logic basis of semantic realization and the upper expression of the metadata in the frame of the semantic web. But relative to the rich ontology resources, the application...
With the rapid development of database and web technology, the way data organized and presented is becoming increasingly complicated while data sources are also intermingled with inaccurate information. Therefore, studies in truth discovery becomes overwhelmingly significant for it is critical for netizens to identify sources of high quality as well as to select the most accurate information from...
Integration of renewable energy into energy system, which is a reasonable approach for sustainable development, posed a challenge to design, operation and optimization of distributed energy system (DES). The emerging control concept related to DES integrated with renewable energy, namely dynamic match optimization (DMO), is reviewed in this paper. A scoping review, which includes literature research...
Recurrent Neural Networks (RNNs) are powerful models for sequential data that have the potential to learn long-term dependencies. However, they are computationally expensive to train and difficult to parallelize. Recent work has shown that normalizing intermediate representations of neural networks can significantly improve convergence rates in feed-forward neural networks [1]. In particular, batch...
This paper introduces an automated optimization procedure for multiplexers using aggressive space mapping(ASM). Instead of establishing an equivalent circuit model in a circuit analysis software, the parameters extraction is accomplished using Cauchy method to increase the accuracy and stability. The optimization process is controlled by MATLAB and passively implemented in HFSS without manual intervention,...
In this paper, we study base station (BS) antenna configuration for downlink multi-cell multi-user distributed multiple input multiple output (MIMO) system to maximize its energy efficiency (EE). In order to obtain the optimal configuration of antennas and users, we first derive the EE expression by considering a realistic power consumption model (PCM). Then an energy-efficient optimization model...
In this paper we present a nonparametric version of a quantile estimator based on Laplacian manifold regularization, which can be obtained by solving a simple quadratic programming problem, and provide bounds on the quantile property and uniform convergence statements of our estimator. Experimental results show the competitiveness of our method with existing ones.
Memory accesses limit the performance of stream processors. The stream compiler exploits the reuse of records distributed on different ALU clusters by introducing inter-cluster communications, which decreases the program performance. The paper presents the Stream Transpose (ST) approach to exploit such reuse. The approach, by reorganizing the data, puts data that have been distributed on neighboring...
For box-constrained smooth system of nonlinear equations, a novel filled function with one parameter is derived, its properties are investigated, and an associated filled function algorithm is presented. By converting the nonlinear equations into an equivalent global minimization problem and then applying the proposed filled function algorithm to this optimization problem, we can identify the root...
For a hybrid sensor network constructing with static nodes and mobile nodes, adjusting the position of the mobile nodes can improve network coverage and target detection rate effectively. In this paper, we present the “Bidding” protocol based on probability detection model, and then propose a distributed covering algorithm DPFA (Distributed Potential Field Algorithm) for hybrid wireless sensor network...
In this paper, we address the optimization of a two-way Multiple-Input-Multiple-Output (MIMO) Amplify-and-Forward (AF) relay network. We consider a multiple access broadcast scheme which finishes communication in two time slots. In order to optimally choose the beamforming coefficients of relays, we devise the following criteria: the beamforming coefficient matrices are optimized aiming to minimize...
Thin-walled parts are widely used in aerospace, ships and automotive fields. However, due to the characteristics of multi-process and multi-procedure manufacturing technology, the production efficiency and machining precision of those parts are greatly limited. In this paper, a unified geometric modeling method for precision machining of thin-walled parts is presented. The unified model is established...
In this paper, we consider a random wireless sensor network where the sensor nodes are distributed randomly and form clusters to cooperatively transmit data packets using cooperative multi-input-multi-output (CMIMO) technique. We focus on analyzing the overall system performance in terms of packet error rate (PER). And then propose a new node sleep strategy to minimize the overall energy consumption...
In this paper we address the problem of two-way communication in multiple peer-to-peer relay networks, with perfectly known channel state information. Herein, multiple terminal transceiver nodes in the network are organized into two groups, and transceivers in each group want to simultaneously conduct bidirectional communications with their respective peers in the other group through the assistance...
Due to the condition that optimization testing work of power system stabilizer(PSS) parameters is highly man-relied, an intelligent optimization method of PSS parameters based on grid equivalence is proposed. The method improves working efficiency effectively, and guarantees that the optimized PSS parameters approach the global optimum. Using small disturbance data, system excluding the generator...
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