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In ultra-dense cellular networks, research works on enhancing cell edge performance receive considerable attention. Based on interlaced clustering, we propose a heuristic sparse beamforming strategy to improve the cell edge throughput effectively in distributed antenna systems (DASs). In our scheme, each cluster pattern (CP) is divided into several adaptive cells, where all the remote antenna units...
Location-Based Service (LBS) becomes increasingly important for our daily life. However, the localization information in the air is vulnerable to various attacks, which result in serious privacy concerns. To overcome this problem, we formulate a multi-objective optimization problem with considering both the query probability and the practical dummy location region. A low complexity dummy location...
Network lifetime is of great importance in WBANs that significantly influences the network performance and user experience. Among all the solutions to extend the network lifetime, relay mechanism plays a crucial role. However, previous works only concentrate on energy efficiency of sensor nodes regardless of energy storage diversity among sensor nodes, which may severely limit the performance of enhancing...
The Microwave Imager Combined Active/Passive (MICAP) is a suit of active/passive instrument package, which has been proposed for demonstrating the capability of remote sensing the sea surface salinity (SSS), sea surface temperature (SST) and wind speed (WS). In this paper, a nonlinear optimization algorithm for simultaneous retrieval of the above parameters is described. The sensitivity of active/passive...
In this paper, a new scheme to reduce the positioning error is investigated for wireless sensor networks (WSN). To be specific, conventional Distance Vector-Hop (Dv-Hop) algorithm fail to calculate the average distance per-hop with high precision that caused by the random distribution of the irregular network topology, greatly leading to the positioning error in the Dv-Hop algorithm. To enhance the...
Multivariate time series (MTS) exist in many applications. Due to all kinds of interference factors, missing data in MTS is inevitable. Aiming at this problem, a filling method based on least squares support vector machine (LSSVM) is proposed. Firstly, for the series containing missing data, similar series are searched, and its results are viewed as the training set. Secondly, to make use of the correlation...
Indirect air cooling technology for its water-saving, high heat transfer efficiency and low coal consumption on, has become preferred for large thermal power generating units. Research and improvement of indirect cooling automatic control technology, strengthen the indirect air cooling system antifreeze protection, is critical for improving the running stability and security. This paper introduced...
Distribution network reconfiguration is a complex and discrete nonlinear combinatory optimization problem. In this paper, an adaptive harmony search algorithm based on positive feedback (PFAHSA) is proposed to solve the problem for reducing power loss in distribution systems. The PFAHSA incorporates a local optimal method based on positive feedback mechanism into traditional harmony improvising criteria...
Energy balance is a critical issue in wireless sensor networks. Several mixed data transmission (MDT) schemes have been proposed to achieve energy balance. However, most existing works are lack of theoretical study, especially understanding the relationship between network-wide energy balancing and lifetime optimization. In this paper, we conduct comprehensive theoretical analysis to the two-level...
Malware data are typically depicted with extremely high-dimensional features, which lays an excessive computational burden on detection methods. For the sake of effectiveness and efficiency, feature selection is an indispensable part for malware detection. In this paper, we propose an ensemble feature selection method with integration of discriminative and representative properties for malware detection...
Multi-view clustering has become a popular clustering technique in recent years due to its ability to analyze data collected from multiple sources or represented by multiple views. In this paper, we propose a novel multi-view clustering approach termed weighted multi-view online competitive clustering (WMLCC). We simultaneously exploit the variable weighting strategy and the online competitive learning...
Single frequency network (SFN) is a promising technology for broadcasting systems with the advantages of better coverage and higher spectral efficiency. However, transmitting local services with unequal contents in SFN remains to be a problem. Bit division multiplexing (BDM) enables local service insertion (LSI) by dividing the channel resources into two sub-channels at bit level, which can approach...
In social network, correlation estimation is a critical problem with promising application prospect. Numerical records of the interaction can serve as informative reflections of the correlation between users. However, due to the noise during data acquisition and storage as well as the privacy concern, the interaction data are usually partially observed. Moreover, even if the complete interaction is...
A novel framework is proposed for optimal resource management in multi-input multi-output (MIMO) downlink systems with smart-grid capabilities. Practical models are put forth to account for the stochastic renewable energy sources (RES), dynamic energy prices, as well as random wireless channels. Capitalizing on these models, a resource allocation task is formulated as an optimization problem that...
Object co-localization is a recently proposed vision problem to jointly localize the target object in a collection of images. The main practical challenge for co-localization is the existence of noisy images, in which the target object may be absent. Previous study relied on a prior estimate of the number of noisy images given by human. However, this prior knowledge would be somewhat too strong in...
We present an adjoint-based technique for estimating second-order sensitivities of a generic wideband objective function using the finite-difference time-domain (FDTD) method. Our proposed algorithm estimates both the first- and the second-order sensitivities of the objective function with respect to all considered parameters using at most n+1 extra simulations, where n is the number of parameters...
We propose a new population-based optimization algorithm, named Social Network-based Swarm Optimization algorithm (SNSO), for solving unconstrained single-objective optimization problems. In SNSO, the population topology, neighborhood structure and individual learning behavior are used to improve the search performance of a swarm. Specifically, a social network model is introduced to adjust the population...
The overlay performance in lithography process depends on both the machine control abilities and overlay residue control in processes. One of important optimization directions of lithography processes in advanced node is to decrease overlay residue in the lithography processes and the overlay margin must meet the stability requirement. In this paper, the investigation on the effect of alignment accuracy,...
The paper deals with dynamic energy management for smart-grid powered coordinated multi-point (CoMP) transmissions. Aiming to minimize the expected energy transaction cost while guaranteeing the worst-case users' quality of service (QoS), an infinite-horizon optimization problem is formulated to obtain the optimal downlink transmit beamformers that are robust to channel uncertainties. Capitalizing...
The path planning problem for unmanned vehicle searching over the region of interest with obstacles is investigated in this paper. The path planning problem is decomposed into the sensor deployment problem and the travelling salesman problem based on the fundamental finding that the vehicle could search the region that covered by the sensor if the vehicle pass through the position where the sensor...
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