The power electric transformer fault diagnosis is based on dissolved gas-in-oil analysis (DGA). the conventional fault diagnosis methods, i.e. the ratio methods (Rogers, Dornenburg and IEC) and the key gas method, have limitations such as the “no decision” problem. Various artificial intelligence techniques may help solve the problems and present a better solution. In this […]
The Resilient Packet Ring (RPR) architecture, known as the IEEE 802.17 standard, has received attention in the last year. The Priority Queue (PQ) algorithm is recommended as the scheduling scheme for RPR, which always gives priority to the transit buffer. Using this scheduling scheme in RPR, the high priority traffic, such as video packets waiting […]
Transferring real-time traffic such as voice and video over wireless LAN network (WLAN) requires stringent delay and jitter requirements. One of the methods to provide QoS in this standard is Enhanced Distributed Channel Access (EDCA) which benefits form the concept of traffic categories. However, EDCA is a contention based method; therefore it can not guarantee […]
Oceanographic data collection, pollution monitoring, offshore exploration, disaster prevention, assisted navigation and tactical surveillance are some of the applications of underwater networks. Underwater networks should send the gathered information to other users or an offshore station via a base station in the sea. Since the available bandwidth in underwater is severely limited, frequency reuse and […]
In this paper the power flow control at power systems in the presence of distributed generation is analyzed. The work proposes use ofUnified power flow controller (UPFC) tocontrol the power flow at the load bus by Main supply in coordination with DG source. This work shows that using UPFC leads to the reduction of the […]
The goal of this paper is to estimate the capital investment in telecom network’s equipments, by using Cobb-Douglas model to predict the number of subscribers for the next years of Iran. By presenting a master plan for “fixed telephony”, “mobile telephony”, “data”, “transmission”, and “access” networks, the required equipments and also the capital investment amounts […]
Prediction is an important issue in many dynamical systems and is vital for effective management and control of plants. An important process which has recently derived much attention is the congestion control problem. Prediction of different traffic parameters can help in managing a congestion in a computer network. In this thesis, using real data for […]
Gate Induced Drain Leakage (GIDL) current is one of the main leakage current components in Silicon on Insulator (SOI) MOSFET structure and plays an important role in the data retention time of DRAM cells. GIDL can dominate the drain leakage current at zero bias and will limit the scalability of the structure for low power […]
In this paper, the signal-to-noise ratio (SNR) of dynamic communication channels, using a radial basis function (RBF) neural network with time-delay structure, is estimated. The exactitude of the estimation is sufficient for systems which are based on link adaptation techniques. The proposed system for estimating SNR does not demand on having any prior knowledge about […]
Although theoretical models of manufacturing processes are useful for understanding physical events, it can be challenging to apply them in real-world industrial settings. When huge data are accessible, artificial intelligence approaches in the context of Industry 4.0 can offer effective answers to real production challenges. Deep learning is increasingly being used in the realm of […]