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.
Because of the high mobility of nodes, vehicular scenarios in VANETs (vehicular ad hoc networks) are various. When VANETs are sparse, there are no end-to-end connections. It is essential that nodes should take advantage of connection opportunities to forward messages. Thus, it is crucial to make sure that selfish nodes have motivations to forward messages. When VANETs are dense, if all nodes are selfish...
We propose in this letter two new subspace learning methods, called nearest feature space analysis (NFSA) and discriminant nearest feature space analysis (DNFSA), for pattern classification. While many subspace learning algorithms have been proposed in recent years, most of them apply the conventional nearest neighbor (NN) metric to derive the subspace and may not effectively characterize the geometrical...
In this paper we present an artificial neural network based motion and path planning system of a wheeled mobile robot navigating among stationary and moving obstacles. The neural network is aware of its distance sensor readings and its relative position from the target. The neural network is used in this system as a controller, and it is trained using a previously proposed extension of the backpropagation...
Rapid image acquisition in magnetic resonance imaging (MRI) offers a number of potential benefits, such as avoiding physiological effects or scanning time on patients, overcoming physical constraints inherent within the MRI scanner, or meeting timing requirements when imaging dynamic structures and processes. In this paper, the combination of compressed sensing and parallel magnetic resonance imaging...
High quality greenhouse control requires accurate modeling of the greenhouse as a thermal system along with all the influences affecting it. A decomposed model is the only way to tackle the complexity of such a system. A very important module of the decomposition is the heating system, due to its high impact on the overall financial cost of the greenhouse. This paper inspects the theoretical limits...
A novel Neural Network Based Fuzzy Inference System for financial default forecast will be introduced. A wide range of financial forecasts is known. This method is focusing on the economical default forecast, but the method can be used generally for other financial forecasts as well, for example for calculating the Value at Risk. This hybrid method is combined by two classical methods: the artificial...
A hybrid method of computing reciprocal is presented by combining the degree-two piecewise polynomial interpolation method and a Newton-Raphson iteration. The degree-two piecewise method is used to obtain an initial approximation for the subsequent Newton-Raphson operations. Architecture for the proposed hybrid method is designed considering the hardware sharing of the composing multipliers in the...
Radio Frequency Identification (RFID) is used in different applications. RFID technologies are getting considerable attention not only from academic research but also from the applications for enterprise. One of the most important applications of RFID research is the indoor position location. Many researchers have used varied technologies to perform the action of indoor position location tracking...
In order to study the impact of drivers' distance cognition difference on traffic safety in dynamic environment of daytime and night-time, a real road tests was carried out by asking 19 drivers randomly selected to percept the distances of obstacles with different distances and velocities on daytime and nighttime. The values of cognition are obtained by statistical methods. The distance cognition...
Artificial neural network is an important research direction in data mining. It is used to solve classification and regression problems, and can find out the nonlinear relation between the input attribute and the output attribute, especially the smooth and continuous nonlinear relations. Use the Microsoft neural network to find out how the meteorological factors influence the precipitation, and to...
Aiming at the problem that it is difficult to confirm the parameters of the PID controller and the parameters can not be changed once identified, an intelligent PID control method is proposed. According to the size of the system error, this algorithm controls the system with different subsections of different parameters, by using the particle swarm optimization (PSO) to optimize the parameters of...
The paper studies the application of principal component analysis and ANN (Artificial Neural Networks) for pre-warning of enterprise financial crisis, analyzes the factors of financial crisis, and constructs the model of the enterprise financial crisis with principal component analysis and ANN. It integrates simplifying of enterprise financial crisis index, dynamic learning of financial crisis knowledge...
Integrating repetitive control and RBF neural network PID control , a novel control scheme for DC servo system is proposed for the high accuracy of Oscillating Mirrorsystem . The repetitive control is used to improve the steady-state characteristi of the control serosystem and enhance its ability to withstand the disturbance with same frequency; the RBF neural network PID control is used to enhance...
Teaching process in college has the characteristics of Markov chain, and, evaluation of university teaching plays an important role in improving the management levels. By using the Markov chain, it selects four ranks of comprehensive evaluation results in different specialties to make an analysis in state shift; then, it carries on the specialized teaching gradual appraisal by means of transfer matrix's...
Water resources sustainable use evaluation plays an important role in water resources planning and management, and it is a typical multi-goals, multi-layers and multi-attributes decision-making process, it needs to consider comprehensively social, economic, resources and environmental factors. A new evaluation index system of water resources sustainable utilization has been set up based on Yunnan...
This paper takes commercial bank as the object of study, conducts the research on its logistics finance service pattern's risk evaluation. First, the paper analyses the principal patterns of commercial bank logistics finance services, unifies the characters of each kind of logistics finance service pattern, constructs risk evaluation index of commercial bank logistics finance under different patterns...
The heat exchange of distilled water unit is a very complex process.The main steam pressure and temperature are tightly coupled with the pressure of raw water, temperature and flow in the circuit, and show non-linear relationship. There are two important parameters need to be controlled in water production process: conductivity and temperature of distilled water at the exit. This is a typical double...
Anti-windup saturation compensation schemes in two-link flexible arms are studied. The singular perturbation approach is used to decompose the nonlinear system into a rigid subsystem and a fast subsystem, which allows a composite control design for the original system. A neural network is designed to compensate the saturation nonlinear in rigid subsystem, and a robust controller is employed to attenuate...
This paper analyzed the principles of TOPSIS, used the fuzzy set to pretreat the uncertainty factors in evaluation work. Then obtain the relative closeness according to the distance between each schemes and positive ideal solutions as well as negative ideal solutions. After that, we made comprehensive evaluation. At the end of this paper, a practical example is given to illustrate the effectiveness...
In this paper, based on investigating and analyzing on the affecting factors for support type of development roadways as well as the successful support cases in Chengchao Iron mine, the improved BP neural network is put forward to study on the support type of development roadways. It may be seen from the learning course of learning samples and the prediction results of support types that whether the...
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.