R. Sabbaghi-Nadooshan
Department of Electrical Engineering, Central Tehran Branch, Islamic Azad University, Tehran, Iran.
[ 1 ] - Diagnosis GLY120 Antigen for the Blood and Breast Cancers Using Graphene Nanosheet
The current study designed and simulated graphene nanosensors for detection of GLY120 tumor-associated carbohydrate antigens. Graphene is a two-dimensional nanosheet that offers a high surface-to-volume ratio and high mobility which increases its sensitivity as a graphene sensor over that of other nanoparticles. The current study simulated graphene sensors with and without GLY12...
[ 2 ] - Improvement of Coverage Algorithm in WSN in Terms of Sensor Numbers and Power Amount
Wireless sensor networks(WSN) have unique properties that distinguished them from other wireless networks and have special challenges. Not-chargeable, not-changeable and limited power supplies of sensor nodes is the most important challenge of this networks, and if the power supply of node expired, a part of data maybe lost. Because of the importance of covers in wireless sensors, in this work ...
[ 3 ] - Efficient Data Mining with Evolutionary Algorithms for Cloud Computing Application
With the rapid development of the internet, the amount of information and data which are produced, are extremely massive. Hence, client will be confused with huge amount of data, and it is difficult to understand which ones are useful. Data mining can overcome this problem. While data mining is using on cloud computing, it is reducing time of processing, energy usage and costs. As the speed of ...
[ 4 ] - Comparing AODV and ADV Routing Protocols in Urban Environment
In vehicular ad hoc networks there is the ability to communicate between vehicles. This Communication which is wireless should be rapid and reliable. These networks have unique characteristic. This communication among vehicles has many advantages in safety and comfort applications. Since, the roads are always encountered to accidents and risks, using optimized tools could be useful in these sit...
[ 5 ] - Intrusion Detection in Wireless Sensor Networks using Genetic Algorithm
Wireless sensor networks, due to the characteristics of sensors such as wireless communication channels, the lack of infrastructure and targeted threats, are very vulnerable to the various attacks. Routing attacks on the networks, where a malicious node from sending data to the base station is perceived. In this article, a method that can be used to transfer the data securely to prevent attacks...
[ 6 ] - The Forecasting of Iran Natural Gas Consumption Based On Neural-Fuzzy System Until 2020
In this paper, an Adaptive-Network-based Fuzzy Inference System (ANFIS) is used for forecasting of natural gas consumption. It is clear that natural gas consumption prediction for future, surly can help Statesmen to decide more certain. There are many variables which effect on gas consumption but two variables that named Gross Domestic Product (GDP) and population, are selected as two input var...
[ 7 ] - A Novel Comprehensive Taxonomy of Intelligent-Based Routing Protocols in Wireless Sensor Networks
Routing in ad-hoc networks, specifically intelligent-based ones, is a highly interested research topic in recent years. Most of them are simulation-based study. Large percentages have not even mentioned some of the fundamental parameters. This strictly reduces their validity and reliability. On the other hand, there is not a comprehensive framework to classify routing algorithms in wireless sen...
[ 8 ] - A Novel Method for VANET Improvement using Cloud Computing
In this paper, we present a novel algorithm for VANET using cloud computing. We accomplish processing, routing and traffic control in a centralized and parallel way by adding one or more server to the network. Each car or node is considered a Client, in such a manner that routing, traffic control, getting information from client and data processing and storing are performed by one or more serve...
[ 9 ] - New Ant Colony Algorithm Method based on Mutation for FPGA Placement Problem
Many real world problems can be modelled as an optimization problem. Evolutionary algorithms are used to solve these problems. Ant colony algorithm is a class of evolutionary algorithms that have been inspired of some specific ants looking for food in the nature. These ants leave trail pheromone on the ground to mark good ways that can be followed by other members of the group. Ant colony optim...
[ 10 ] - An Approach for Accurate Edging using Dynamic Membership Functions
In this paper, by means of fuzzy approaches, an accurate method is introduced for edging of color photographs. The difference between our method with other similar methods is the use of a morphological operation to think or thick the obtained edges. In this proposed method, a 3×3 window is dragged on the photo. For each block, 12 point sets will be defined, each including two non-overlapping po...
[ 11 ] - Optimal Path Diagnosis by Genetic Algorithm for NoCs
Nowadays Network-on-Chips is used instead of System-on-Chips for better performance. This paper presents a new algorithm to find a shorter path, and shows that genetic algorithm is a potential technique for solving routing problem for mesh topology in on-chip-network.
[ 12 ] - Design of ARC less InGaP/GaAs DJ solar cell with high efficiency
In this work, we used the Atlas Tcad Silvaco software to investigate the effect of adding an additional BSF layer on the performance of InGap / GaAs dual junction solar cells with a hetero tunnel Al0.7Ga0.3As-In0.49Ga0.51P junction. These analyzes indicate that, the addition of a BSF layer to the bottom cell the increase in the thickness of the BSF top cell would reduce the recombination and in...
[ 13 ] - New full adders using multi-layer perceptron network
How to reconfigure a logic gate for a variety of functions is an interesting topic. In this paper, a different method of designing logic gates are proposed. Initially, due to the training ability of the multilayer perceptron neural network, it was used to create a new type of logic and full adder gates. In this method, the perceptron network was trained and then tested. This network was 100% ac...
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