میرهادی سیدعربی
دانشیار دانشکده مهندسی برق و کامپیوتر - دانشگاه تبریز
[ 2 ] - Video-based face recognition in color space by graph-based discriminant analysis
Video-based face recognition has attracted significant attention in many applications such as media technology, network security, human-machine interfaces, and automatic access control system in the past decade. The usual way for face recognition is based upon the grayscale image produced by combining the three color component images. In this work, we consider grayscale image as well as color s...
[ 3 ] - Attack-Aware Cooperative Spectrum Sensing in Cognitive Radio Networks under Byzantine Attack
Cooperative Spectrum Sensing (CSS) is an effective approach to overcome the impact of multi-path fading and shadowing issues. The reliability of CSS can be severely degraded under Byzantine attack, which may be caused by either malfunctioning sensing terminals or malicious nodes. Almost, the previous studies have not analyzed and considered the attack in their models. The present study introduc...
[ 4 ] - شناسایی چهره در رشته‌های ویدیویی با استفاده از افکنش متعامد با حفظ ساختار محلی
In this paper, attempting to improve the recognition rate and solve some problems such as pose, lighting variations and partial occlusion in video sequences using Orthogonal Locality Preserving Projection (OLPP). In this research, first of all face in video frames is detected for background removing. Then each set of images is distributed on a nonlinear manifold and clustered using appropriate ...
[ 5 ] - تخمین بهینه کانال انتقال قدرت براساس تئوری یادگیری بیزین در حضور نویز ضربه‌ای
در سال‌های اخیر ارسال اطلاعات مخابراتی سرعت بالا از طریق کانال انتقال قدرت (Power Line Communication) بیش‌تر مورد توجه محققین در عرصه مخابرات قرار گرفته‌است. در این مقاله یک الگوریتم مناسب برای تخمین کانال PLC با استفاده از مالتی‌پلکس تقسیم فرکانسی متعامد (Orthogonal Frequency Division Multiplexing)ارائه شده‌است. کانال PLC با ویژگی‌های فیدینگ چندمسیره و فرکانس‌گزین تحت‌تأثیر نویزهای ضربه‌ای بود...
[ 6 ] - Application of Combined Local Object Based Features and Cluster Fusion for the Behaviors Recognition and Detection of Abnormal Behaviors
In this paper, we propose a novel framework for behaviors recognition and detection of certain types of abnormal behaviors, capable of achieving high detection rates on a variety of real-life scenes. The new proposed approach here is a combination of the location based methods and the object based ones. First, a novel approach is formulated to use optical flow and binary motion video as the loc...
[ 7 ] - Development of a Unique Biometric-based Cryptographic Key Generation with Repeatability using Brain Signals
Network security is very important when sending confidential data through the network. Cryptography is the science of hiding information, and a combination of cryptography solutions with cognitive science starts a new branch called cognitive cryptography that guarantee the confidentiality and integrity of the data. Brain signals as a biometric indicator can convert to a binary code which can be...
[ 8 ] - Using a photographic image processing method as a part of the QA program in some radiotherapy departments where CTs are involved with COVID-19 patients
Background & Aims: Owing to the significant role of CT images in diagnosis and follow up of patients affected with coronavirus, the imaging section of cancer centers in some countries engaged in providing services to COVID-19 patients. The aim of this study was to introduce a CT-independent photographic-based QA method in some radiotherapy departments where CTs are involved with COVID-19 patien...
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