Mahdi Bahaghighat

Imam Khomeini International University · Faculty of Engineering and Technology

In recent years, due to the increase of researches based on data management, outlier detection has attracted enormous interest. There is always a possibility of having outliers within a dataset. Outliers are data that are usually so far away from data trend. Traditional data management systems are responsible for handling outliers, retrieving main...

Cryptocurrencies are digital assets that can be stored and transferred electronically. Bitcoin (BTC) is one of the most popular cryptocurrencies that has attracted many attentions. The BTC price is considered as a high volatility time series with non-stationary and non-linear behavior. Therefore, the BTC price forecasting is a new, challenging, and...

With a sharp increase in the information volume, analyzing and retrieving this vast data volume is much more essential than ever. One of the main techniques that would be beneficial in this regard is called the Clustering method. Clustering aims to classify objects so that all objects within a cluster have similar features while other objects in di...

Today, resource waste is considered as one of the most important challenges in different industries. In this regard, the Rectangle Packing Problem (RPP) can affect noticeably both time and design issues in businesses. In this study, the main objective is to create a set of non-overlapping rectangles so that they have specific dimensions within a re...

Today, power generation from clean and renewable resources such as wind and solar is of great salience. Smart grid technology efficiently responds to the increasing demand for electric power. Intelligent monitoring, control, and maintenance of wind energy facilities are indispensable to increase the performance and efficiency of smart grids (SGs)....

Data mining is the extraction of information and its roles from a vast amount of data. This topic is one of the most important topics these days. Nowadays, massive amounts of data are generated and stored each day. This data has useful information in different fields that attract programmers’ and engineers’ attention. One of the primary data mining...

Cryptocurrencies are digital assets that can be stored and transferred electronically. Bitcoin (BTC) is one of the most popular cryptocurrencies that has attracted many attentions. The BTC price is considered as a high volatility time series with non-stationary and non-linear behavior. Therefore, the BTC price forecasting is a new, challenging, and...

Increasing size of text data in databases requires appropriate classification and analysis in order to acquire knowledge and improve the quality of decision-making in organizations. The process of discovering the hidden patterns in the data set, called data mining, requires access to quality data in order to receive a valid response from the system....

Today, energy issues are more important than ever. Because of the importance of environmental concerns, clean and renewable energies such as wind power have been most welcomed globally, especially in developing countries. Worldwide development of these technologies leads to the use of intelligent systems for monitoring and maintenance purposes. Bes...

The rapid development of social media, and special websites with critical reviews of products have created a huge collection of resources for customers all over the world. These data may contain a lot of information including product reviews, predicting market changes, and the polarity of opinions. Machine learning and deep learning algorithms prov...

Wind Turbine Towers (WTTs) are the main structures of wind farms. They are costly devices that must be thoroughly inspected according to maintenance plans. Today, existence of machine vision techniques along with unmanned aerial vehicles (UAVs) enable fast, easy, and intelligent visual inspection of the structures. Our work is aimed towards develop...

Today, Smart Grids (SGs), as the goal of the next-generation power grid system, span extremely wide aspects from power generation to end-user utilities. In smart grids, Energy and Information flows are mutually dependent and performance degradation of one side may have a high impact on the other side. In this work, we introduce our architecture for...

Nowadays, the growth and development of artificial intelligence is more evident than any other time. Consequently, the development of machine vision systems in the industry has been studied extensively. The provision of a high-level quality control system based on vision inspection in production lines is an important issue. It not only can increase...

Nowadays with the rapid development of technologies, machine vision has been used widely in various industries. Main applications of machine vision in industrial product lines are quality control (QC) and quality assurance (QA). The intelligent defects and anomalies recognition throughout the supply chain has come to be an integral part of quality...

An automatic, fast, and accurate switching method between Global Positioning System and indoor positioning systems is crucial to achieve current user positioning, which is essential information for a variety of services installed on smart devices, e.g., location-based services (LBS), healthcare monitoring components, and seamless indoor/outdoor nav...

In this paper, a novel design for planar plate monopole antennas is proposed with applications to ultra-wide band (UWB) communications. To verify the proposed antenna design, simulations are performed by means of CST and HFSS software tools, showing that the impedance bandwidth is significantly increased by vertical cross-sections. By adding a seri...

Todays, Smart Grids as the goal of next generation power grid system span wide and new aspects of power generation from distributed and bulk power generators to the end-user utilities. There are many advantages to develop these complex and multilayer system of systems such as increasing agility, reliability, efficiency, privacy, security for both E...

Today, the machine vision system applications are increasing sharply. Reducing both hardware and software costs resulted in more deployment of intelligent systems based on computer vision in the various industries. In this work, designing an intelligent quality control system for vision inspection purposes in pharmaceutical industries has been inve...

RF coaxial products are used in wide range of applications in cellular mobile telecommunication technology. In this paper, a coaxial telecommunication connector is designed for coupling to feeders and jumpers in BTS Mobile sites. The desired frequency range for this connector is 1.7 to 5 GHz. In terms of power transmission, especially when a high p...

In this paper, a novel design for planar plate monopole antennas is proposed with applications to ultra-wide band (UWB) communications. To verify the proposed antenna design, simulations are performed by means of CST and HFSS software tools, showing that the impedance bandwidth is significantly increased by vertical cross-sections. By adding a seri...

Several studies have focused on multimedia transmission over wireless sensor networks (WSNs). In this paper, we propose a comprehensive and robust model to transmit images over cognitive radio WSNs (CRWSNs). We estimate the spectrum sensing frequency and evaluate its impact on the peak signal-to-noise ratio (PSNR). To enhance the PSNR, we attempt t...

Today, the massive demands of wireless technologies lead to the deployment of more efficient and practical spectrum utilization approaches. The legacy wireless sensor network standards such as IEEE 802.15.4, WiFi, and Bluetooth that fundamentally have been developed based on overcrowded and non efficient ISM bands, no longer be able to support high...

Baseline detection and line segmentation are essential preprocessing steps of any OCR system. In this paper we have proposed a robust and fast method for base lines detection based on projected pattern analysis of Radon Transform. The algorithm have been tested on more than 350 samples including both printed and handwriting of Persian/Arabic, Engli...

paper gives a novel approach of automatic speaker recognition technology, with an emphasis on text-dependent speaker recognition. Speaker recognition has been studied actively for several decades. In fact, Speaker recognition system may be viewed as working in four stages, namely, analysis, feature extraction, modeling and testing. After some prepr...

In this paper we propose a novel approach for vehicle speed estimation based on the motion blur occurring in the image taken by still camera. when the camera shutter remains open for an extended period of time, because of existence relative motion between camera and object, Motion blur is occurred. Blurred image has two different parameters. One of...

One of the main challenges faced by the current face recognition techniques lies in the difficulties of collecting samples. Fewer samples per person mean less laborious effort for collecting them, lower cost for storing and processing them. Unfortunately, many reported face recognition techniques rely heavily on the size and representative of train...

Fingerprint image enhancement is an essential preprocessing step in fingerprint recognition applications. In this paper we introduce an approach that extracts simultaneously orientation and frequency of local ridge in the fingerprint image by Gabor wavelet filter bank and use them in Gabor Filtering of image. Furthermore, we describes a robust appr...

The performance of any fingerprint recognizer system highly depends on the fingerprint image quality; therefore fingerprint image enhancement is an essential stage in these systems. Wavelet transform is a good tool for non-stationary signal processing and has a wide range of application. In this paper a wavelet based method for fingerprint image en...