The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
To deal with the rigid template matching problem in real-world scenarios, we propose a novel iterative feature-pair updating framework which is also robust to high levels of outliers, such as background changing, complex nonrigid deformation and partial occlusion. Given a pair of template image and target image, we first extract a set of corresponding feature-pairs as candidates. Then, we propose...
It is necessary to optimize the energy-efficient (EE) performance for millimeter-wave (mmWave) wireless systems, since the power consumption problem becomes increasingly crucial at high frequency bands. In hybrid precoding mmWave systems, the EE-oriented optimized elements include the analog and digital precoders at the transmitter, the analog and digital combiners at the receiver, as well as the...
We present a new point set registration method with global-local correspondence and transformation estimation (GL-CATE). The geometric structures of point sets are exploited by combining the global feature, the point-to-point Euclidean distance, with the local feature, the shape distance (SD) which is based on the histograms generated by an elliptical Gaussian soft count strategy. By using a bidirectional...
Hashing has been recognized as one of the most promising ways in indexing and retrieving high-dimensional data due to the excellent merits in efficiency and effectiveness. Nevertheless, most existing approaches inevitably suffer from the problem of “semantic gap”, especially when facing the rapid evolution of newly-emerging “unseen” categories on the Web. In this work, we propose an innovative approach,...
Learning based hashing has become increasingly popular because of its high efficiency in handling the large scale image retrieval. Preserving the pairwise similarities of data points in the Hamming space is critical in state-of-the-art hashing techniques. However, most previous methods ignore to capture the local geometric structure residing on original data, which is essential for similarity search...
In this paper, we consider the energy efficiency maximization problem in downlink multi-input multi-output (MIMO) multi-cell systems, where all users suffer from inter-cell interference. To solve this optimization problem with a nonconcave objective function and a complex-valued matrix variable, we extend the recently developed successive pseudo-convex approximation framework and propose a novel iterative...
Capacity-coverage tradeoff balancing is a classical but critical problem for practical wireless multi- cell network optimization. Increasing the average capacity is often at the expense of decreasing the cell coverage and vice versa. It becomes more complex in massive multiple-input/multiple-output (MIMO) networks to balance the above two performance indicators since capacity is much highly improved...
Embedding virtual network requests in an underlying physical infrastructure, the so-called virtual network embedding (VNE) problem, has attracted significant research interests already. A realistic scenario might entail embedding multiple VN requests (MVNE) that arrive simultaneously (batch arrivals). The existing heuristic MVNE approaches neither consider the coordination among multiple VNR embeddings...
Intelligent robot such as Unmanned Ground Mobile Robot or Vehicle is a kind of automatic equipment without a manual operation to complete the task. This paper presents a method of trajectory planning for intelligent robots based on the ant colony algorithm under an environment with obstacles. The robot can autonomously avoid obstacles from the starting point to reach the target point during maneuver...
Wireless caching at users' devices in mobile social network is considered to be a promising solution to alleviate backhaul overload in future wireless networks. However, most of the current works propose caching schemes based on heuristic reasoning and intuition with poor performance or high complexity which are impractical due to individual devices' computing capacity restriction. In this paper,...
In this paper, we propose a novel iterative algorithm based on successive convex approximation for the nonconvex energy efficiency optimization problem in massive MIMO networks. The stationary points of the original problem are found by solving a sequence of successively refined approximate problems, and the proposed algorithm has the following advantages: 1) fast convergence as the structure of the...
To meet different communication requirements, a smart grid communication framework based on a hybrid network has been widely used. Virtual networks are established for various types of services respectively, and are embedded into heterogeneous substrate networks. Based on the framework, wireless network virtual mapping algorithm based on particle swarm optimization is proposed. In this scheme, the...
The poor computation ability and limited storage of power of nodes have seriously restricted wireless sensor network (WSN) applied to smart substation equipment condition monitoring. According to the application of substation equipment condition monitoring, clustering network model for equipment monitoring is proposed. And single-hop and multi-hop network consumption model is established respectively...
Device-to-device (D2D) communication can effectively meet the demands of high data rate by providing a direct link between two mobile users in cellular networks. In this paper, we analyze the optimal power control for energy efficiency of D2D communication underlaying cellular networks. Based on the stochastic geometry, we firstly use the homogeneous Poisson point process (PPP) to characterize the...
Wireless sensor and actor network (WSAN) has received growing interests with the rapid development of Internet of things. Multiple function actors are added into the traditional wireless sensor networks to sense the environment, conduct tasks and give feedback. In this paper, an efficient distributed actor deployment strategy is proposed to address the connectivity maintenance and coverage optimization...
Software-defined network (SDN) is deemed to enable more dynamic management of data center networks that promptly respond to network events with changes in network policies. Although the SDN controller architecture is increasingly optimized for swift policy updates, the data plane, especially the prevailing TCAM-based flow tables on physical SDN switches, remains unoptimized for fast rule updates,...
In this paper, we propose a novel iterative algorithm based on convex approximation for a large class of possibly nonconvex optimization problems. The stationary points of the original problem are found by solving a sequence of successively refined approximate problems. To achieve convergence, the approximate problem only needs to be pseudo-convex while the stepsizes are determined by the exact or...
P-type multi-crystalline passivated emitter and rear solar cells (PERC) become the focus of recent laboratory and industrial base research due to its promising mass production perspective. This paper presents the most recent works on PERC solar cells and reveals the realization of a world record efficiency of 20.8% PERC solar cell fabricated with screen printing technology on 156 mm × 156 mm multi-crystalline...
This paper addresses aircraft conflict detection and resolution from a stochastic reachability analysis perspective. A characterization of the uncertainty on the aircraft future positions due to the presence of wind is obtained in terms of probabilistic reach sets. This involves formulating a chance-constrained optimization problem and solving it approximately via simulation, according to the so-called...
Space manipulator is an integral part of space station in its life stages including construction, operation and development, during which there are tasks for the manipulator as manipulating light camera and also assembling cabins of weight. Workload range is so wide that optimization is necessary to be considered to improve execution performance on all load conditions. Firstly, this paper details...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.