Analogue Integrated Circuits
1. Design of a High-Speed and Low Power CMOS Comparator for A/D Converters

F. Shakibaee; A. Bijari; S.H. Zahiri

Volume 9, Issue 2 , Summer and Autumn 2021, , Pages 153-160

http://dx.doi.org/10.22061/jecei.2021.7602.409

Abstract
  Background and Objectives: Comparators play a critical role in the analog to digital converters (ADCs) and digital to analog converters (DACs). So, different structures have been proposed to improve their performance. Power, delay, offset, and noise are the important factors that have significantly affect ...  Read More

2. Design of a Microstrip Dual-Band Bandpass Filter Using Novel Loaded Asymmetric Two Coupled Lines for WLAN Applications

R. Salmani; A. Bijari; S. H. Zahiri

Volume 8, Issue 2 , Summer and Autumn 2020, , Pages 255-262

http://dx.doi.org/10.22061/jecei.2020.7250.376

Abstract
  Background and Objectives: Due to the rapid development in wireless communications, bandpass filters have become key components in modern communication systems. Among the microwave filter technologies, planar structures of microstrip line are chosen, due to low profile, weight, ease of fabrication, and ...  Read More

Computational Intelligence
3. A Framework for High-Level Synthesis of VLSI Circuits Using a Modified Moth-Flame Optimization Algorithm

M.R. Esmaeili; S.H. Zahiri; S.M. Razavi

Volume 7, Issue 1 , Winter and Spring 2019, , Pages 95-111

http://dx.doi.org/10.22061/jecei.2020.5992.272

Abstract
  Background and Objectives: High-level synthesis (HLS) is one of the substantial steps in designing VLSI digital circuits. The primary purpose of HLS is to minimize the digital units used in the system to improve their power, delay, and area.Methods: In the modified MFO algorithm presented in this paper, ...  Read More

Data Mining
4. Clustering a Big Mobility Dataset Using an Automatic Swarm Intelligence-Based Clustering Method

I. Behravan; S.H. Zahiri; S.M. Razavi; R. Trasarti

Volume 6, Issue 2 , Summer and Autumn 2018, , Pages 251-271

http://dx.doi.org/10.22061/jecei.2019.5243.206

Abstract
  Background and Objectives: Big data referred to huge datasets with high number of objects and high number of dimensions. Mining and extracting big datasets is beyond the capability of conventional data mining algorithms including clustering algorithms, classification algorithms, feature selection methods ...  Read More