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.
Man-made global warming poses serious threats to the environment and society. Proper abatement policies for greenhouse gas (GHG) emissions are urgently needed to ameliorate the effects of global warming. In this paper, we introduce a version of the Policy Analysis of the Greenhouse Effect (PAGE) model that is faster by two orders of magnitude than previous versions. PAGE is then used in conjunction...
This paper proposes a distributed controller placement problem that finds out the pareto optimal solutions minimizing the switch-to-controller delay, controller-to-controller delay, and controller load imbalance for wide area software defined networks. We introduce a general model that not only considers the controller placements but also the switch assignments, so that this model can further be used...
In Systems-on-Chip (SoCs) based on Networks-on-Chip (NoCs), the timing requirements of target applications can be met by using virtual channels and traffic differentiation mechanisms to prioritize the most urgent communication streams. However, the use of virtual channels in NoCs results in silicon and power overheads as they are usually implemented by means of additional buffers and multiplexers...
Importance of the genetic algorithms (GA) usage in the investigation of an ultrashort pulse peak voltage in a printed circuit board (PCB) bus of autonomous navigation system (ANS) is highlighted. Trapezoidal ultrashort pulse propagation along the conductors of the PCB bus was simulated. Using GA an optimization of the 10 parameters for loads at the ends of the bus conductors was made. The optimization...
The waste and trash removal management are the major challenges for cities and to perform in an optimal and efficient way is one of the field of study within Smart City. There are great challenges to overcome when the theme is waste collection. One of them is to define efficient routes in order to reduce the fuel consumption of garbage-trucks, that is the main challenge addressed in this work. The...
The natural disasters affecting railway are characterized by universality, frequency and variety in china. These events can suddenly cause a greater negative impact on the order of rail transport organizations in a short time. The abnormal circumstances of network node or network range will pose a threat to the safety and efficiency of rail transport. On the basis of analyzing the causes of the problem...
In this paper a new method to design optimal fractional order proportional-integral-derivative (PIλDμ) controllers for time delay systems is presented. In PIλDμ controllers' parameters are composed of proportionality constant, integral constant, derivative constant, derivative order and integral order, and its design is more complex than that of conventional integer-order proportional-integral-derivative...
Voltage quality is an essential requirement in the operation of electricity distribution systems. At consumer busbars, the deviation from the nominal voltage has specific ranges, prescribed in technical regulations. A widely chosen voltage correction approach is to use reactive power compensation. Capacitor banks are used for this purpose in highly loaded networks, but their placement and sizing require...
The future 5G networks need to support different kinds of business and applications, so the cloud radio access networks (C-RAN) which can provide a centralized collaborative resource management gain through small base stations, and seamless handoff also can be achieved through the overlapping deployment of macro base stations and micro base stations has become one of the important directions in 5G...
A novel maglev wind yaw system (MWYS) with two groups of suspension windings is proposed to replace the traditional gear-driven yaw system of horizontal-axis wind turbines. In order to overcome the power difference between these two groups of suspension windings which could affect seriously the suspension stability, the windings optimization is carried out to decrease this difference. First, the dynamic...
In this paper, a mobile robot path planning algorithm based on the rearrangement of gene is proposed for genetic algorithm and applied to solve the problem of mobile robot path planning. Firstly, it needs to build the robot path with the multi-plane model, and the genetic algorithm is used to search the optimal or sub optimal path. Then, with a new algorithm for the route of quadratic optimization,...
The optimization of a microwave circuit is a complex multi-objective problem (MOP) needed to be effectively solved. Multi-objective evolution algorithms (MOEAs) are efficient in dealing with MOPs because of their population property inspired by the natural evolution of species. Exploitation and exploration are of equal importance to MOEAs for approximating the optimal Pareto front (PF) well. However,...
One of the interesting and important subjects among researchers in the field of medical and computer science is diagnosing illness by considering the features that have the most impact on recognitions. The subject discusses a new concept which is called Medical Data Mining (MDM). Indeed, data mining methods use different ways such as classification and clustering to classify diseases and their symptoms...
For the WSNs lifetime optimization, the non-disjoint set covers (NDSC) based coverage control approach has brought out a better performance. In addition, it yields a promising indicators in term of reliability, resilience and the possibility to be used for heterogeneous WSNs. This paper addresses the WSNs resiliency assessment via NDSC approaches to WSNs lifetime optimization. We investigated the...
New trends in neural computation, now dealing with distributed learning on pervasive sensor networks and multiple sources of big data, make necessary the use of computationally efficient techniques to be implemented on simple and cheap hardware architectures. In this paper, a nonuniform quantization at the input layer of neural networks is introduced, in order to optimize their implementation on hardware...
We discuss several ways to accelerate genetic algorithm-based instance selection, where the two objectives are a minimal number of training instances and maximal accuracy of the classifier (we use neural networks) on the test data. We discuss several ways to accelerate the process, but we especially focus on two parameters: fitness function and chromosome length reduction. We evaluate different fitness...
We present a novel multigrid approach for the shape optimizations of corrugated metallic sheets by using genetic algorithms (GAs) and the multilevel fast multipole algorithm (MLFMA). The overall mechanism is obtained by an efficient integration of GAs and MLFMA, while the optimizations are improved by applying multiple grids at different layers. We show that the multigrid approach provides more effective...
This paper addresses the problem of Data Centers (DC) energy efficiency by proposing a proactive optimization technique to schedule the day-ahead DC operation to minimize the operational cost. The proactive optimization technique is formalized as a Mixed Integer Optimal Control Problem, known to be NP-hard. Because the time needed for solving this problem by some of the gradient-based solvers depends...
The paper presents the mathematical modeling of fragments by applying the polynomial regression to experimental data of arbitrary dimension. This approach aims to find out the minimal complexity polynomial structure defining the coefficients, which are optimized by the least squares criterion, enabling the error control when describing fragments. This mathematical formulation to approximate experimental...
The paper considers the problem of increasing the speed of monochrome multitone image (MMI) approximation, which consists in replacement of original palette with palette that has less number of tones. Often, for solving such a problem, the heuristic optimization-search algorithms are used. Their drawback is that, they cannot guarantee to find the solution for the given optimization criteria, which...
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.