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.
We propose a swarm control algorithm for unmanned vehicles that adapts to unexpected environments while making the optimal formation. Our proposed algorithm, “autonomous and adaptive control”, is inspired by the control mechanism of living organisms and reconciles adaptability under a complex and changing environment and optimality for the various purposes of the system. In this paper, we apply the...
This paper addresses the time-optimal path planning problem for underwater vehicles in obstacle-constrained environments. It is assumed that the vehicles can move at variable speeds but their dynamics are subject to bounded curvature and turn rate. We present a novel pose-based search algorithm, which is a modified A∗ algorithm to find time-optimal paths between a given pair of vehicle poses including...
This paper formulates and studies the problem of distributed filtering based on randomized gossip strategy in order to estimate the state of a dynamic system via all sensors in a network. First we introduce the randomized gossip algorithm by which the fastest averaging strategy can be obtained for a network with an arbitrary topology. Then we combine the randomized gossip algorithm with the information...
A new methodology for image synthesis based on two cooperative training ConvNets is proposed. Two generative ConvNets and unsupervised joint learning are designed to effectively reflect the characteristics of real scenery and image pattern. Every ConvNet is directly derived from the discriminate ConvNet and has the potential to learn from big unlabeled data, either by contrastive divergence. One ConvNet...
Network Planning and Fault Location, Isolation and Supply Restoration (FLISR) are important functions of power distribution automation systems. We model these functions as a combinatorial optimization graph problem called the Capacitated Spanning Forest Problem (CSF), defined as the problem of creating a spanning forest with a capacity constraint on each tree bounding its total weight. We present...
Many real systems can be naturally modeled by complex networks. A complex network represents an abstraction of the system regarding its components and their respective interactions. Thus, by scrutinizing the network, interesting properties of the system can be revealed. Among them, the presence of communities, which consists of groups of densely connected nodes, is a significant one. For instance,...
In this paper, studies on the assignment of the most suitable people to project teams have been developed and a model based on different calculated quality values under different needs has been created. An algorithm that builds a working set for the problem, heuristic algorithms that are intended to solve the problem sets at the best quality, and their comparison is presented.
Mobile edge computing (MEC) has recently emerged as an important paradigm to bring computation and cache resources to the edge of core networks. However, the resources of edge network are relatively limited, so it is necessary to cooperate with data center (DC) which has sufficient computational resources. In this paper, we aim at designing a computation offloading and data caching model under the...
We consider the problem of link prediction in dynamic networks under the condition of a set of snapshots of the networks. To address the nonlinear transitional patterns in network structures, we propose an approach that incorporates the historical linkage and neighboring information into the restricted Boltzmann machine (RBM) model by adding temporal and neighboring connections between the hidden...
During last period, the energy harvested from solar power cells have arisen exponentially, being every day more important, because it is a clean energy presented in almost all over the globe. However, in order to track the maximum power point to maximize the drained energy, different algorithms are implemented to impose certain current and voltage at the solar module output. The maximum power point...
This paper represents the heuristic algorithms for optimizing communications in parallel PGAS-programs and minimizes of its execution time. This is achieved by taking into account of hierarchical structure of computer systems while reduction. Developed algorithms are implemented for PGAS-language Cray Chapel.
The paper treats a class of human walking robots, the athlete robot (AR). The dynamic equations of this model are generated by Euler Lagrange method as a multi-input-multi-output under-actuated model. The balancing control on one leg in the stance phase is studied. The hierarchical sliding mode control algorithm is proposed. Numerical simulations show the method efficiency.
Recently, computation offloading has become one of the common and efficient ways to minimize the energy expenditure. Considering the aspects of mobile-cloud communication, energy optimization is from the necessities of this offloading. Moreover, the variable and mobile states of mobile devices environments have a significance on this communication. In this article, we are going to suggest an adaptable...
Many physical process systems have performance limitation regardless the input. This limitation usually occurs in the form of input saturation of actuator as the constraint of the system. To overcome this problem, Model Predictive Control (MPC) may be used due to its capability to compute optimal control signal in the presence of input saturation. The optimal control signal is obtained by solving...
In this paper, we develop an access controller management model which provides new opportunities for further reducing the computation repetition and data transmission redundancy for Mobile Edge Computing (MEC) in 5G network. We propose novel algorithms for solving the offloading problem with consideration of tradeoff between energy consumption and the amount of offloaded data under constraint of overall...
Information sharing is critical to multi-agent team for cooperative decision making in dynamic and partially observable environments. Other than building a full information coverage, if agents in a team can be self-directed to valuate a potential receiver and where to communicate, the coordination efficiency will be greatly enhanced. Although intensive studies of information valuation approaches have...
Computing frameworks have been widely deployed to support global-scale services. A job typically has multiple sequential stages, where each stage is further divided into multiple parallel tasks. We call the set of all the tasks in a stage of a job a cotask. In this paper, we aim to minimize the average Cotask Completion Time (CCT) in cotask scheduling. To the best of our knowledge, there is no prior...
Sensor networks have been widely used in environment monitoring. Although there are some related works about water pollution monitoring and water pollution source localization using sensor networks, there are many problems which have not been solved so far. In this paper, the current research status on water pollution monitoring and water pollution source localization in sensor networks is illustrated...
Moving objects' detection in dynamic scenes is a very important task in video processing. In the applications of image processing (for example, video-surveillance), more attention is paid to whether there is an interested object in the scene rather than where the object is located. As a matter of fact, similar to static backgrounds, the statistical histograms of the most dynamic backgrounds have favorable...
Based on the analysis and summary of the features of existing STL (Stereolithography) model slicing algorithms, the STL model slicing algorithm that based on dynamic adjacent edge is proposed. According to the Z-max and Z-min of the Z-coordinate projection in the slice direction and the thickness of the every layer, achieving slicing the whole STL model, and the topological relation of the adjacent...
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.