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Keyword: DetectionDysphoria Detection using EEG Signals
Dysphoria is a state faced when one experienced disappointment. If it is not handled properly, dysphoria may trigger acute stress, anxiety and depression. Typically, the individual who experienced dysphoria are in-denial because dysphoria is always being associated with negative connotations such as incompetency to handle pressure, weak personality and lack of will power. To date,…
Read MoreSmart Meter Data Analysis for Electricity Theft Detection using Neural Networks
The major problem in electric utility is Electrical Theft, which is harmful to electric power suppliers and causes economic loss. Detecting and controlling electrical theft is a challenging task that involves several aspects like economic, social, regional, managerial, political, infrastructural, literacy rate, etc. Numerous methods were proposed formerly for detecting electricity theft. However, the previous…
Read MoreA Support Vector Machine Cost Function in Simulated Annealing for Network Intrusion Detection
This paper proposes a computationally intelligent algorithm for extracting relevant features from a training set. An optimal subset of features is extracted from training examples of network intrusion datasets. The Support Vector Machine (SVM) algorithm is used as the cost function within the thermal equilibrium loop of the Simulated Annealing (SA) algorithm. The proposed fusion…
Read MoreAn Efficient Automotive Paint Defect Detection System
Vision-based defect detection techniques are widely used for quality control purposes. In this work, an efficient deflectometry based detection system is developed for semi-specular/painted surface defect detection. This system consists of a robotic arm that carries a screen/camera setup and can detect defects on large surfaces with different topologies, such as a car bumper, by…
Read MoreEarly Detection of Alzheimer’s Using Digital Image Processing Through Iridology, An Alternative Method
Over the years, alternative medicine has carried out numerous systematic studies related to the ophthalmological field, specifically the eye. Studies that propose as support of analysis to the Iridology, which studies the alterations of the iris in correspondence with the organs of the human body. Thus, it presents the opportunity to investigate neuronal diseases related…
Read MoreDetection the Places of the Heat Energy Leak on the Underground Thermal Pipelines Using the Computer System
The purpose of this paper is to improve the thermographic method for detection the places of heat energy losses on the urban underground thermal pipelines using the computer system. This goal was achieved by building a heat map of the surveyed heating main with data layering directly on a computer map of the area, which…
Read MoreReal Time Eye Tracking and Detection- A Driving Assistance System
Distraction, drowsiness, and fatigue are the main factors of car accidents recently. To solve such problems, an Eye-tracking system based on camera is proposed in this paper. The system detects the driver’s Distraction or sleepiness and gives an alert to the driver as an assistance system. The camera best position is chosen to be on…
Read MoreRobot Self-Detection System
The paper presents design and implementation of a mobile robot, located in an accommodation. As opposed to other known solutions, the presented one is entirely based on standard, cheap and accessible devices and tools. An algorithm for transformation of the 2D coordinates of the robot into 3D coordinates is described. The design and implementation of…
Read MoreProbabilistic Method for Anomalies Detection Based on the Analysis of Cyber Parameters in a Group of Mobile Robots
This article is devoted to the issues of ensuring the security of a group of mobile robots in the implementation of attacks aimed at the property of accessibility of information and the availability of network nodes. The article presents a method for detecting an abnormal behavior of a network node based on the analysis by…
Read MoreA Ubiquitous and Configurable Wrist-Worn Sensor Node in Hazardous Gases Detection
The monitoring of environmental parameters is a critical topic in occupational medicine. With advances in technology, during the recent years, the wearable sensors are widely used to evaluate the ambient parameters. In this paper a compact, small, light-weighted, and configurable sensor node in three physical layers for prolonged chemical ambient monitoring is described. The device…
Read MoreDetection of ExoMars launcher during its passage over Europe with Space Surveillance radar breadboard
A bistatic radar breadboard for space surveillance has been developed by ONERA for the European Space Agency. This item was operated during the launch of the ExoMars mission on March 14th 2016. The spacecraft, attached to the Proton launcher, was well detected in real-time during its passage over South Europe. This paper presents the setting…
Read MoreAgent Based Fault Detection System for Chemical Processes using Negative Selection Algorithm
Recently, the number of industrial accidents of chemical plants has been increasing in Japan. The fault detection system is required to keep chemical plant safely. In this study, a fault detection system for a chemical plant using agent framework and negative selection algorithm was proposed. The negative selection algorithm is one of artificial immune systems.…
Read MoreCommunity Detection in Social Network with Outlier Recognition
Exploring communities and outliers in Social Network is based on considering of some nodes have overlapped neighbor node within the same group as well as some nodes have no any link to the other node or have no any overlapped value. The existing approaches are based on the overlapping community detection method were only defined…
Read MoreAn Analysis of K-means Algorithm Based Network Intrusion Detection System
In this modern age, information technology (IT) plays a role in a number of different fields. And therefore, the role of security is very important to control and assist the flow of activities over the network. Intrusion detection (ID) is a kind of security management system for computers and networks. There are many approaches and…
Read MoreVirtual Memory Introspection Framework for Cyber Threat Detection in Virtual Environment
In today’s information based world, it is increasingly important to safeguard the data owned by any organization, be it intellectual property or personal information. With ever increasing sophistication of malware, it is imperative to come up with an automated and advanced methods of attack vector recognition and isolation. Existing methods are not dynamic enough to…
Read MoreBuilding an Efficient Alert Management Model for Intrusion Detection Systems
This paper is an extension of work originally presented in WITS-2017 CONF. We extend our previous works by improving the Risk calculation formula, and risk assessment of an alert cluster instead of every single alert. Also, we presented the initial results of the implementation of our model based on risk assessment and alerts prioritization. The…
Read MoreA Multilingual System for Cyberbullying Detection: Arabic Content Detection using Machine Learning
With the abundance of Internet and electronic devices bullying has moved its place from schools and backyards into cyberspace; to be now known as Cyberbullying. Cyberbullying is affecting a lot of children around the world, especially Arab countries. Thus concerns from cyberbullying are rising. A lot of research is ongoing with the purpose of diminishing…
Read MoreA Comparison of Mean Models and Clustering Techniques for Vertebra Detection and Region Separation from C-Spine X-Rays
In Computer Aided Diagnosis (CAD) tools, vertebra localization and detection are the essential steps for the diagnosis of cervical spine injuries. The accurate localization leads to accurate treatment, which is more challenging in case of poor contrast and noisy radiographs. This paper targets c-spine radiographs for the localization of vertebra using different vertebra templates, vertebra…
Read MorePixel-Based Unsupervised Classification Approach for Information Detection on Optical Markup Recognition Sheet
This paper proposed an Optical Markup Recognition (OMR) system to be used to detect shaded options of students after MCQ-type examinations. The designed system employed the pixel-based unsupervised classification approach with image pre-processing strategies and compared its efficiencies, in terms of speed and accuracy, with object-based supervised or unsupervised classification OMR systems. Speed and accuracy…
Read MoreLookup Tables-based mean level detection of spatially distributed targets in non Gaussian clutter
In this paper, Constant False Alarm Rate (CFAR) detection of spatially distributed targets embedded in compound Gaussian clutter with Inverse Gamma texture is addressed. By taking into account the fact that clutter parameters are unknown in practical situations, we propose mean level based on Lookup Tables detectors, that operate as a two-step approach, which consists…
Read MoreSelective Detrending using Baseline Drift Detection Index for Task-dependant fNIRS Signal
A functional near-infrared spectroscopy (fNIRS) can be employed to investigate brain activation by measuring the absorption of near-infrared light through the intact skull. The general linear model (GLM) as a standard model for fMRI analysis has been applied to functional near-infrared spectroscopic (fNIRS) imaging analysis as well. The GLM has drawback of failure in fNIRS…
Read MoreA Microwave Reflectometer Prototype for Detection of Body Through the Rubble of Collapsed Buildings
There is a growing interest in using radio frequency in imaging for problem solving in situational awareness, surveillance, search and rescue operations, and screening for security. This has been fetched from recent development in addition to innovative technologies in microwave radar imaging applications. Despite the fact that no new phenomenology is exposed in this field,…
Read MoreVideo-frame Quality Improvement before Shot boundary Detection by using Logarithm, Wavelet and Contoulet Transform
Video shot boundary detection is important step for the research in the content analysis and retrieval fields. In this paper, firstly we presented an efficient method for Video-frame quality improvement to suppress flash occurred within video frame using logarithm, wavelet and contourlet transform. In addition, wavelet and contourlet transform also performed denoising. Secondly, for shot…
Read MoreNetwork Intrusion Detection System using Apache Storm
Network security implements various strategies for the identification and prevention of security breaches. Network intrusion detection is a critical component of network management for security, quality of service and other purposes. These systems allow early detection of network intrusion and malicious activities; so that the Network Security infrastructure can react to mitigate these threats. Various…
Read MoreHuman Sit Down Position Detection Using Data Classification and Dimensionality Reduction
The analysis of human sit down position is a research area allows for preventing health physical problems in the back. Many works have proposed systems that detect the sitting position, some open issues are still to be dealt with, such as: Cost, computational load, accuracy, portability, and among others. In this work, we present an…
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