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Traffic is composed of different vehicle classes, each characterized by the vehicle length, the value of time (VOT) and other class-specific properties. Multi-class traffic flow models aim to capture these class-specific differences. In this paper, a multi-class model is appended with a monetary cost framework accounting for the value of time of each vehicle class, thereby enabling the computation...
Under emergency situations, citizens are often forced to evacuate an inhabited area for their own safety. During this process, drivers' behavior becomes a very important factor determining vehicle movements in the affected area. In this research, the impact of driver aggressiveness on traffic flow properties related to evacuation, such as travel time to the safe zones, is modeled through microscopic...
A filtering technique of neutron flux during the nuclear reactor restarting is presented in this paper. The nuclear reactor model is described by equation of inverse kinetics. The ionization chambers are used for neutron flux measure. To minimize the undesired noise of measurement the extended Kalman filter (EKF) method is used. The filter EKF is designed using the nuclear reactor model.
Congestion is a problem in real networks. Users do not want to lose information and data should be delivered as fast and reliably as possible. This is really difficult to achieve. Moreover, networks work in changing environments: number of users, type of traffic, delays in transmission, etc. So this paper presents how to design PID controllers that take network changes into account. Non-linear simulations...
We compare population models in terms of Continuous Time Markov Chains with embedded deterministic delays (delayed CTMC), in which an exponential timed transition can only update the state of the system after a deterministicdelay, and delay differential equations (DDE). We prove a fluid approximation theorem, showing that, when the size of the population goes to infinity, the delayed CTMC converges...
The introduction of communication systems to power system controllers have brought in another layer of complexity in their design and operation. In this paper a Plug-in Hybrid Electric Vehicle (PHEV) charging facility is studied. A linearized model of the facility is built including both the dc/dc and dc/ac converters of the Distributed Energy Resources (DER). In addition, a control strategy that...
In networked control systems, the network uncertainties can degrade the control performance and even result in instability, especially for the Internet-based control system with wireless communication in which the transmission delay could be many times of the sampling period of control systems. NPC (Networked Predictive Control) is an active method to compensate for the effects of network uncertainty...
In Underwater sensor networks (UWSN), Nodes are powered by battery. So saving energy is an important factor to estimate routing protocol. In this paper, we briefly introduced the vector-Based Forwarding and proposed an energy balance method to improve the lifetime of originate VBF. We sensor the energy information of neighbor nodes and decide whether participate in transport packets according the...
For scheduling services with different features and Qos constraints, this paper proposes a hybrid scheduling strategy, in which delay-sensitive services are granted preemptive priority and non-delay-sensitive services are granted non-preemptive priority. Theoretical analysis verified that preemptive scheme results in longer waiting length of queue.
In Vehicular Grid Sensor Network (VGSN), because the operation of individual vehicles and mobile speed and direction, contact between them fragile and unstable. It has multicast links suddenly fail to overcome the problems, so that the message flows to each node, and increase the volume of traffic control. In this paper, we propose a fuzzy-based target tracking scheme that will re-route the link path...
In real world, there are many uncertain conditions which cannot be absolutely pre-determined or controlled by the decision maker. Then, by the empirical experience in the market behavior, there are no fixed carrying cost rate, interest paid rate and interest earned rate. In this paper, we will extend Chen et al. [1] model with fuzzification in the carrying cost rate, interest paid rate and interest...
Input/Output Buffer Information Specification (IBIS) behavioral models are widely used for circuit-level signal integrity (SI) analysis due to its fast simulation speed and good accuracy. This work presents a tool to generate models of circuits specified by IBIS models. The model generation tool estimates poles, rise time and fall time of a circuit specified by IBIS models. The method consists of...
Predictive methods for learning network distances are often more desirable than direct performance measurements between end hosts. Yet, predicting network distances remains an open and difficult problem, as the results from a number of comparative and analytical studies have shown. From an application requirements perspective, there is significant room for improvement in achieving prediction accuracies...
One of the limitations of using Service Oriented Architecture (SOA) in mission critical applications (like Air Traffic Control) is the ability to specify stringent Quality of Service (QoS) parameters for individual services. Even determining which Message Broker optimizations to utilize to achieve high QoS is difficult. This research is utilizing the concepts introduced by the Queuing Network Analyzer...
The hardware implementations of decimal arithmetic operations, which are commonly used in financial, scientific, and internet-based applications requiring accuracy and speed, become prominent. In this paper we first analyze the column sum boundaries of n-digit parallel decimal array multipliers (PDAM). A general form of the problem is formed and a heuristic solution is found with Genetic Algorithm...
Primary results of fundamental research in the field of radar theory are presented. The novelty of the research consists in the following: within the scope of energy conservation law and Bayes statistical decision theory a new approach to the process of target radar signals detection on the basis of energy criterion is considered. A condition for radio-signals optimal energy detection against a background...
Data center networks are characterized by high link speeds, low propagation delays, small switch buffers, and temporally clustered arrivals of many concurrent TCP flows fulfilling data transfer requests. However, the combination of these features can lead to transient buffer overflow and bursty packet losses, which in turn lead to TCP retransmission timeouts that degrade the performance of short-lived...
The paper considers the full-range (FR) model of cellular neural networks (CNNs) with ideal hard-limiter non-linearities that limit the allowable range of the neuron state variables. It is also supposed that there is a concentrated delay (D) in the neuron interconnections. Due to the presence of multivalued nonlinearities the D-FRCNN model is mathematically described by a retarded differential inclusion...
Uncertainty in wireless networks, such as time-varying delays and packet loss, often leads to instability and degraded performance in Networked Control Systems (NCS). Further, limited network resources impose constraints on communication between plants and controllers. In this paper, we use passivity combined with adaptive sampling to design a control architecture for trajectory tracking. The proposed...
We investigate the modulational instability (MI) of the optical beam propagating in the relaxing saturable nonlinear system. We identify and discuss the salient features of various functional forms of saturable nonlinear responses such as exponential, conventional and coupled type on the MI spectrum. Using suitable model, the relaxation of the nonlinear response is effectively included alongside the...
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