عباس رضایی
- استادیار، عضو هیئت علمی گروه مهندسی برق - دانشگاه صنعتی کرمانشاه - کرمانشاه - ایران
[ 1 ] - الگوکردن و شبیهسازی موتور درون‌چاهی حفاری با استفاده از روشهای هوش محاسباتی
تکنیک‌های هوش محاسباتی، توانایی زیادی در حل مسائل محاسباتی مختلف در علوم مهندسی دارند. در این مقاله، برای نخستین بار، الگوکردن و شبیهسازی موتور درون‌چاهی حفاری با استفاده از روشهای هوش محاسباتی مانند شبکه عصبی مصنوعی، سیستم استنتاج عصبی - فازی تطبیقی و تابع پایه شعاعی ارائه شده است. برای این منظور از دادههای تجربی برای آموزش و تست ساختارهای مختلف هوش محاسباتی استفاده شده است. الگو‌های هوش م...
[ 2 ] - Design of Optimized Quantum-dot Cellular Automata RS Flip Flops
Complementary metal-oxide semiconductor (CMOS) technology has been the industry standard to implement Very Large Scale Integrated (VLSI) devices for the last two decades. Due to the consequences of miniaturization of such devices (i.e. increasing switching speeds, increasing complexity and decreasing power consumption), it is essential to replace them with a new technology. Quantum-dot c...
[ 3 ] - Design of low power random number generators for quantum-dot cellular automata
Quantum-dot cellular automata (QCA) are a promising nanotechnology to implement digital circuits at the nanoscale. Devices based on QCA have the advantages of faster speed, lower power consumption, and greatly reduced sizes. In this paper, we are presented the circuits, which generate random numbers in QCA. Random numbers have many uses in science, art, statistics, cryptography, gaming, gambli...
[ 4 ] - Design and Test of New Robust QCA Sequential Circuits
One of the several promising new technologies for computing at nano-scale is quantum-dot cellular automata (QCA). In this paper, new designs for different QCA sequential circuits are presented. Using an efficient QCA D flip-flop (DFF) architecture, a 5-bit counter, a novel single edge generator (SEG) and a divide-by-2 counter are implemented. Also, some types of oscillators, a new edge-t...
[ 5 ] - Design of low power random number generators for quantum-dot cellular automata
Quantum-dot cellular automata (QCA) are a promising nanotechnology to implement digital circuits at the nanoscale. Devices based on QCA have the advantages of faster speed, lower power consumption, and greatly reduced sizes. In this paper, we are presented the circuits, which generate random numbers in QCA. Random numbers have many uses in science, art, statistics, cryptography, gaming, gambli...
[ 6 ] - PSO-ANFIS and ANN Modeling of Propane/Propylene Separation using Cu-BTC Adsorbent
In this work, an artificial neural network (ANN) model along with a combination of adaptive neuro-fuzzy inference system (ANFIS) and particle swarm optimization (PSO) i.e. (PSO-ANFIS) are proposed for modeling and prediction of the propylene/propane adsorption under various conditions. Using these computational intelligence (CI) approaches, the input parameters such as adsorbent shape (S<su...
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