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.
The emergence of 5G wireless communication calls for new paradigms to satisfy the individuation and diversification of users' demands. In this paper, we construct the multicast groups under the guidance of user interest and then allocate the subcarriers and power to these groups in orthogonal frequency division multiple (OFDM) networks. Specifically, in order to maximize the social utility related...
The convergence analysis of MaxMin-SOMO algorithm is presented. The SOM-based optimization (SOMO) is an optimization algorithm based on the self-organizing map (SOM) in order to find a winner in the network. Generally, through a competitive learning process, the SOMO algorithm searches for the minimum of an objective function. The MaxMin-SOMO algorithm is the generalization of SOMO with two winners...
In order to fully take advantage of the available reactive power from EV chargers (EVCs), a volt-var optimal control (VVOC) strategy for power system integrated with wind farms is proposed. The VVOC strategy consists of two steps: day-ahead optimal scheduling and intra-day optimal adjustment. In the first step, on-load tap changers (OLTCs) and capacitor banks (CBs) are scheduled to minimize the power...
In this paper, a two-stage mixed integer linear programming (MILP) formulation for source-load coordinated dispatch with wind power considering peak-valley regulation and ramping requirements is proposed. First, the peak-load regulation and ramping requirements of the net load curve are analyzed. Second, the first stage optimization model considering incentive-based demand response (IDR) is formulated...
One of the fundamental problems in image search is to learn the ranking functions, i.e., similarity between the textual query and visual image. A number of research paradigms, ranging from feature-based vector model to image ranker learning, have been applied to measure query-image similarity. However, most of the existing similarity learning methods either depend on surrounding texts for ranking...
To deal with the problems of topological structure cannot adjust adaptively, easy to trap into the local minimum and diversity losing in traditional particle swarm optimization algorithm, a newly adaptive PSO algorithm based on dynamic link matrix was proposed, which build the neighborhoods though link matrix and divide them into the sub-swarm based on feature clustering. The algorithm can adjust...
This paper proposes a general method for size optimization in dense sampling to obtain a better representation of an image. Our method can be utilized to improve the performance of image classification and other tasks. We discuss the spatial consistency in global-scope restrained descriptors, by analyzing the appropriate sampling size. We apply the low rank method to solve the representative matrix...
In PaaS, the issue of resource provisioning becomes more challenging because a great number of applications share and compete for resources simultaneously. PaaS platform should be able to maximize the resources utilization, while satisfying the performance requirements of all applications. However on-line request workload can be fluctuated during the run time of applications and static resource allocation...
This article discusses the fractional-order optimization design and the phase and gain margins tuning of PIλ Dμ controllers for fractional-order time-delay systems. A graphical stability criterion for fractional-order time-delay systems is first applied to determine the stabilizing regions in integral-gain and derivative-gain space. Then, the stabilizing region is maximized with respect to fractional-order...
Ionosphere phase perturbation made the clutter spectrum spread and influenced the precision of parameter inverse analysis for sky wave sea state radar. Recently, an algorithm based on piecewise polynomial signal (PPS) phase model and high-order ambiguity function has been applied to resolve this problem. The determination of the order for the polynomial phase is critical in the applications of the...
Two modeling methods were applied to optimize the culture conditions for nisin production by Lactococcus lactis subsp. lactis in shake flasks, respectively and the results obtained by these methods were compared. The effects of the candidate culture conditions on nisin titer (NTs) were investigated by Plackett-Burman design (PBD) experiments. A linear regression model was established using the data...
Enlightened by the analysis method of modern anthropology for sociogroup, the ethnic group evolution algorithm (EGEA)*, whose population is formed of several ethnic groups, is proposed. The ethnic group is a kind of clustering form for individuals, and represents the possible evolution trends, which are implicit in population. In EGEA, ethnic groups are used as the competition and generation unit...
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.