The special form of pipe-like structure provides the helical route for ultrasonic guided wave. Considering pipe as a flattened plate but with periodical replications, wave becomes intuitional and corresponding imaging algorithm can be constructed. This work proposes multihelical Lamb method by utilizing multiple arrival wavepackets which are denoted different orders. signal model is presented c...

In this paper, we give some new coupled common  fixed point theorems for probabilistic $varphi$-contractions  in Menger probabilistic metric spaces.  As applications of the main results, we obtain some coupled common fixed point theorems in usual metric spaces and fuzzy metric spaces. The main results of this paper improvethe corresponding results given by some authors. Finally, we give one exa...

Optimal Reactive Power Dispatch (ORPD) is a multi-variable problem with nonlinear constraints and continuous/discrete decision variables. Due to the stochastic behavior of loads, the ORPD requires a probabilistic mathematical model. In this paper, Monte Carlo Simulation (MCS) is used for modeling of load uncertainties in the ORPD problem. The problem is formulated as a nonlinear constrained mul...

In mobile ad hoc networks the nodes will be in a mobile state so there may be a frequent link breakages which leads to frequent path failures and route discoveries. Sending periodical message causes overhead. Reactive Routing protocol causes less overhead when compared to Proactive routing protocol. In the existing system they used neighbor coverage based probabilistic rebroadcast protocol(NCPR...

Plans for NextGen include the implementation of Net-Centric Operations (NCO) as the underlying mechanism to more effectively manage National Air Transportation System (NAS) resources. NCO mechanisms will provide the means for all agents operating in the NAS to self-synchronize in the presence of changing situations and probabilistic forecasts. Applications of NCO in other domains (e.g. military...

To avoid congestion of the vehicle in traffic networks is one of the most important problems to establish effective movements of vehicles. In this paper, we propose a new routing strategy using a memory effect. Conventional routing strategies use probabilistic rules to route the vehicles on the traffic networks. On the other hand, our proposed method uses a deterministic rule, or the memory eff...

The purpose of this research work is twofold. The first problem it attempts to address is the inference of regulators that control the traffic (i.e. traffic signs, traffic lights) for enriching maps with new features. The second is related with how we can assist the drivers by communicating the previously mined information in the context of driving safety. As data sources, we use in-car sensors...

Antnet is an agent based routing algorithm that is influenced from the unsophisticated and individual ant’s emergent behaviour. Ants (software agents) are used in antnet to collect information and to update the probabilistic distance vector routing table entries. Modified antnet algorithm has been introduced, which improve the throughput and average delay. Results shows that by detecting and dr...

Deciding what mix of engine and battery power to use is critical to hybrid vehicles’ fuel efficiency. Current solutions consider several factors such as the charge of the battery and how efficient the engine operates at a given speed. Previous research has shown that by taking into account the future power requirements of the vehicle, a more efficient balance of engine vs. battery power can be ...