Original Research Paper Artificial Intelligence
A Transformer Self-attention Model for Time Series Forecasting

R. Mohammadi Farsani; E. Pazouki

Volume 9, Issue 1 , January 2021, Pages 1-10


  Background and Objectives: Many real-world problems are time series forecasting (TSF) problem. Therefore, providing more accurate and flexible forecasting methods have always been a matter of interest to researchers. An important issue in forecasting the time series is the predicated time interval.Methods: ...  Read More

Original Research Paper Target Detection
Target Detection Using Multispectral Images, A Case Study: Wheat Detection in Chenaran County in Iran

M. Imani

Volume 9, Issue 1 , January 2021, Pages 11-24


  Background and Objectives: Target detection is one of the main applications of remote sensing. Multispectral (MS) images with higher spatial resolution than hyperspectral images are an important source for shape and geometric characterization, and so, MS target detection is interested.Methods: A target ...  Read More

Original Research Paper IoT Security
Improving the Security of a Low-cost Tag Search Protocol

S. Saderi Oskuiee; F. Moazami; G. Oudi Ghadim

Volume 9, Issue 1 , January 2021, Pages 25-36


  Background and Objectives: Radio Frequency Identification (RFID) systems use radio frequency waves to exchange information between a legitimate sender and a receiver. One of the important features of RFID systems is to find and track a specific tag among a large number of tags. Numerous works have been ...  Read More

Original Research Paper Computer Vision
A Novel Method for Medical Image Segmentation based on Convolutional Neural Networks with SGD Optimization

M. Taheri; M. Rastgarpour; A. Koochari

Volume 9, Issue 1 , January 2021, Pages 37-46


  Background and Objectives: medical image Segmentation is a challenging task due to low contrast between Region of Interest and other textures, hair artifacts in dermoscopic medical images, illumination variations in images like Chest-Xray and various imaging acquisition conditions.Methods: In ...  Read More

Original Research Paper Video Processing
Deep Neural Network with Extracted Features for Social Group Detection

A. Akbari; H. Farsi; S. Mohamadzadeh

Volume 9, Issue 1 , January 2021, Pages 47-56


  Background and Objectives: Video processing is one of the essential concerns generally regarded over the last few years. Social group detection is one of the most necessary issues in crowd. For human-like robots, detecting groups and the relationship between members in groups are important. Moving in ...  Read More

Original Research Paper Fault Detection
Fault Detection in Thermoelectric Energy Harvesting of Human Body

H. Yektamoghadam; A. Nikoofard

Volume 9, Issue 1 , January 2021, Pages 57-66


  Background and Objective: Human health is an issue that always been a priority for scientists, doctors, medical engineers, and others. A Wireless Body Area Network (WBAN) connects independent nodes (e.g. sensors and actuators) that are situated in the clothes, on the body, or under the skin of a person. ...  Read More

Original Research Paper Computer Architecture
NodeFetch: High Performance Graph Processing using Processing in Memory

M. Mosayebi; M. Dehyadegari

Volume 9, Issue 1 , January 2021, Pages 67-74


  Background and Objectives: Graph processing is increasingly gaining attention during era of big data. However, graph processing applications are highly memory intensive due to nature of graphs. Processing-in-memory (PIM) is an old idea which revisited recently with the advent of technology specifically ...  Read More

Original Research Paper Artificial Intelligence
A New Routing Protocol in MANET using Cuckoo Optimization Algorithm

S. Tabatabaei; H. Nosrati Nahook

Volume 9, Issue 1 , January 2021, Pages 75-82


  Background and Objectives: With the recent progressions in wireless communication technology, powerful and costless wireless receivers are used in a variety of mobile applications. Mobile networks are a self-arranged network, which is including of mobile nodes that communicate with each other without ...  Read More

Original Research Paper Power
Optimal PSS Parameters Design Based on a Novel Objective Function for Small Signal Stability Enhancement

P. Naderi; B. Ehsan Maleki; H. Beiranvand

Volume 9, Issue 1 , January 2021, Pages 83-92


  Background and Objectives: In this paper, a novel objective function is proposed for designing the power system stabilizers (PSSs). Although the object of the previous designs was to enhance the critical modes' stability, the derived stability indices were, to some extent, low and in some cases not acceptable ...  Read More

Original Research Paper Image Processing
Fast and Efficient Hardware Implementation of 2D Gabor Filter for a Biologically-Inspired Visual Processing Algorithm

A. Mohammadi Anbaran; P. Torkzadeh; R. Ebrahimpour; N. Bagheri

Volume 9, Issue 1 , January 2021, Pages 93-102


  Background and Objectives: Programmable logic devices, such as Field Programmable Gate Arrays, are well-suited for implementing biologically-inspired visual processing algorithms and among those algorithms is HMAX model. This model mimics the feedforward path of object recognition in the visual cortex. ...  Read More

Original Research Paper Channel Allocation for Power Line Communications
Modelling and Optimization of Channel Allocation for Power Line Communications Access Networks in the Presence of In-Line and In-Space Interference

M. Sheikh Hosseini; S. M. Nosratabadi

Volume 9, Issue 1 , January 2021, Pages 103-114


  Background and Objectives: Broadband power line communications (PLC) is a promising candidate for implementing access network of different telecommunication Technologies. Planning process of the PLC access network is subdivided into two main optimization problems of the generalized base station placement ...  Read More

Original Research Paper Compress Sensing
Stochastic Block NIHT Algorithm for Adaptive Block-Sparse System Identification

Z. Habibi; H. Zayyani; M. Shams Esfandabadi

Volume 9, Issue 1 , January 2021, Pages 115-126


  Background and Objectives: Compressive sensing (CS) theory has been widely used in various fields, such as wireless communications. One of the main issues in the wireless communication field in recent years is how to identify block-sparse systems. We can follow this issue, by using CS theory and block-sparse ...  Read More