Search results for: EXPLOSIVES DETECTION - Bridge of Knowledge

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Search results for: EXPLOSIVES DETECTION

Search results for: EXPLOSIVES DETECTION

  • MultiRegional PCA for leakage detection and localisation in DWDS - approach

    Publication

    - Year 2007

    Monitoring is one of the most important parts in advanced control of complex dynamic systems. Information about systems behavior, including failures indicating, enables for efficient control. The chapter describes an approach to detection and localisation of pipe leakage in Drinking Water Distribution Systems (DWDS) representing complex and distributed dynamic system of large scale. Proposed MultiRegional Principal Component Analysis...

  • Detection and time/frequency analysis of electric fields in the ground

    This paper sets out to detect and characterize electric fields in the ground (such as stray current fields) using a tandem time/frequency method of signal analysis. Results were obtained from investigations performed in the presence of a generated electric field with controlled variable characteristics, and in the presence of an electric field generated by a tramline. The analysis of measurement registers was performed using Short‐Time...

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  • Full wavefield processing by using FCN for delamination detection

    Publication

    - Mechanical Systems and Signal Processing - Year 2021

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  • Rapid cardiac ischemia detection with an epicardial graphene probe

    Publication
    • G. Suwalski
    • M. Galanty
    • B. Degórska
    • J. Sterna
    • J. Frymus
    • M. Baranski
    • P. Trębacz
    • D. Janczak
    • S. Lepak-Kuc
    • M. Jakubowska

    - Frontiers in Cardiovascular Medicine - Year 2023

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  • A survey of neural networks usage for intrusion detection systems

    In recent years, advancements in the field of the artificial intelligence (AI) gained a huge momentum due to the worldwide appliance of this technology by the industry. One of the crucial areas of AI are neural networks (NN), which enable commer‐ cial utilization of functionalities previously not accessible by usage of computers. Intrusion detection system (IDS) presents one of the domains in which neural networks are widely tested...

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  • Outlier detection method by using deep neural networks

    Publication

    - Year 2017

    Detecting outliers in the data set is quite important for building effective predictive models. Consistent prediction can not be made through models created with data sets containing outliers, or robust models can not be created. In such cases, it may be possible to exclude observations that are determined to be outlier from the data set, or to assign less weight to these points of observation than to other points of observation....

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  • Detection, identification and determination of resveratrol in wine. Problems and challenges

    Resveratrol is a compound synthesized by plants in response to unfavorable conditions of growth like mechanical injury, siege of bacteria or fungi and UV exposure. It is concentrated mostly in grapes skin and further more in the products made from grapes especially red wines. Each wine is characterized by different amount of given stilbene since its occurrence is affected by many factors like: types of grapes, environment (climate,...

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  • Small rov to detection and identification of dangerous underwater objects

    Publication

    - Year 2011

    A small unmanned underwater vehicle (UUV) to inspection of an undersea space is presented in the paper. Its behavior is controlled by a trained pilot. Correct detection and identification of targets depends on vehicle'sprecise displacement along a predefined route. Nowadays, the UUVs are equipped with an automatic control system to execute some basic maneuvers without constant human interventions. Hence, in the paper, an autopilot...

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  • Fluctuation-Enhanced Sensing for Biological Agent Detection and Identification

    Publication
    • L. B. Kish
    • H. Chang
    • C. Kwan
    • J. Jensen
    • G. Schmera
    • J. Smulko
    • Z. Gingl
    • C. G. Granqvist

    - IEEE TRANSACTIONS ON NANOTECHNOLOGY - Year 2011

    Przedstawiono wcześniejsze wyniki badań dotyczące trzech różnych sposobów wykrywania obecności substancji biologicznych za pomocą zjawisk fluktuacyjnych: 1) wirusów wnikających do komórek, 2) zapachów emitowanych przez mikroby, 3) rozkładu widma i wartości chwilowych szumów podczas rozpraszania światła używanego do wykrywania zarodników na podstawie wyznaczenia współczynnika dyfuzji opisująceo ich ruch.We survey and show our earlier...

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  • Application of RMS for damage detection by guided elastic waves

    Publication

    - Year 2011

    This paper presents certain results of an experimental study related with a damage detection in structural elements based on deviations in guided elastic wave propagation patterns.

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  • Naval mine detection system based of FPGA circuit

    Electrochemical processes take place in a metal object immersed into sea water even if an anticorrosive coating is applied [1]. As a result, flowing field appears around the object. There are naval mines between many other objects situated in the sea. Naval mines can be put in the seabed in order to be more difficult to detect by sonars. Such a mine is located on the line demarking two environments of different electrical conductivity....

  • Hazardous gases detection by fluctuation-enhanced gas sensing

    W pracy przedstawiono układ pomiarowy oraz metodę za pomocą której można jednym rezystancyjnym czujnikiem gazów wykrywać dwa gazy: amoniak i siarkowodór. Podano wskaźnik jaki pozwala dokonać detekcji tych gazów już przy stężeniach rzędu pojedynczych ppm. Przebadano także powtarzalność wyników pomiarów w kilku egzemplarzach czujników.

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  • Image Segmentation of MRI image for Brain Tumor Detection

    Publication

    - Year 2020

    this research work presents a new technique for brain tumor detection by the combination of Watershed algorithm with Fuzzy K-means and Fuzzy C-means (KIFCM) clustering. The MATLAB based proposed simulation model is used to improve the computational simplicity, noise sensitivities, and accuracy rate of segmentation, detection and extraction from MR...

  • Clothes Detection and Classification Using Convolutional Neural Networks

    Publication

    In this paper we describe development of a computer vision system for accurate detection and classification of clothes for e-commerce images. We present a set of experiments on well established architectures of convolutional neural networks, including Residual networks, SqueezeNet and Single Shot MultiBox Detector (SSD). The clothes detection network was trained and tested on DeepFashion dataset, which contains box annotations...

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  • Feasibility study of a Raman spectroscopic route to drug detection

    Publication

    - Year 2017

    We present an surface-enhanced Raman spectroscopy (SERS) approach for detection of drugs of abuse in whole human blood. We utilize a near infrared laser with 830 nm excitation wavelength in order to reduce the influence of fluorescence on the spectra of blood. However, regular plasmon resonance peak of plasmonic nanoparticles, such as silver or gold fall in a much lower wavelength regime about 400 nm. Therefore, we have shifted...

  • 3D polypyrrole structures as a sensing material for glucose detection

    Publication

    In this work, 3D polypyrrole (PPy) structures as material for glucose detection is proposed. Polypyrrole was electrochemically polymerized on platinum screen-printed electrode from an aqueous solution of lithium perchlorate and pyrrole. The growth mechanism of such PPy structures was studied by ex-situ scanning electron microscopy. Preliminary studies show that studied here PPy film is a good candidate as a sensing material for...

  • Magnetic and infrared thermography methods in detection of antipersonnel landmines

    In this paper the two alternative methods of antipersonnel landmine detection are shown: the magnetic method and the active infrared thermography. The experimental results of the detection of selected, plastic mines using both methods are also presented.

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  • Face detection algorithms evaluation for the bank client verification

    Publication

    Results of investigation of face detection algorithms in the video sequences are presented in the paper. The recordings were made with a miniature industrial USB camera in real conditions met in three bank operating rooms. The aim of the experiments was to check the practical usability of the face detection method in the biometric bank client verification system. The main assumption was to provide as much as possible user interaction...

  • Multiscaled Hybrid Features Generation for AdaBoost Object Detection

    This work presents the multiscaled version of modified census features in graphical objects detection with AdaBoost cascade training algorithm. Several experiments with face detector training process demonstrate better performance of such features over ordinal census and Haar-like approaches. The possibilities to join multiscaled census and Haar features in single hybrid cascade of strong classifiers are also elaborated and tested....

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  • Detection of Face Position and Orientation Using Depth Data

    Publication

    In this paper an original approach is presented for real-time detection of user's face position and orientation based only on depth channel from a Microsoft Kinect sensor which can be used in facial analysis on scenes with poor lighting conditions where traditional algorithms based on optical channel may have failed. Thus the proposed approach can support, or even replace, algorithms based on optical channel or based on skeleton...

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  • A multi-agent method for periodicity detection in distributed events

    Publication

    - Year 2015

    Multi-agent systems working in constantly changing environments may be challenged by instantaneous unavailability of their autonomous agents caused e.g. by limited computing resources. A new method of self-organization of distributed service components is proposed, suitable for multi-agent systems. This method relies on particular agents carrying out separate analyzes of their individual processing loads or other specific events....

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  • Method for universal detection of two-photon polarization entanglement

    Publication
    • K. Bartkiewicz
    • P. Horodecki
    • K. Lemr
    • A. Miranowicz
    • K. Życzkowski

    - PHYSICAL REVIEW A - Year 2015

    Detecting and quantifying quantum entanglement of a given unknown state poses problems that are fundamentally important for quantum information processing. Surprisingly, no direct (i.e., without quantum tomography) universal experimental implementation of a necessary and sufficient test of entanglement has been designed even for a general two-qubit state. Here we propose an experimental method for detecting a collective universal...

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  • Histogram of Gradients with Cell Average Intensity for Human Detection

    Publication

    - Year 2015

    The modification of the descriptor in human detector using Histogram of Oriented Gradients and support vector machine is presented. The proposed modification requires inserting the average cell intensitiesresulting with the increase of the length of the descriptor from 3780 to 4200 values, but it is easy to compute and instantly gives 14-26% of miss rate improvement at 10^-4 False Positives Per Window (FPPW). The modification...

  • Efficiency of gas mixtures detection by resistive gas sensors

    Publication

    - Year 2014

    Resistive gas sensors are very popular and are commonly used to detect various gases and their mixtures. Theeir main disadvantage is very limited selectivity. Practical use of gas sensors in environenmental applications requires determination of concentration of a few mixed gases at the same time. We would like to present recent results of gas detection improvement by utilizing a single gas sensor and additional measurements to...

  • Detection of dialogue in movie soundtrack for speech intelligibility enhancement

    Publication

    - Year 2014

    A method for detecting dialogue in 5.1 movie soundtrack based on interchannel spectral disparity is presented. The front channel signals (left, right, center) are analyzed in the frequency domain. The selected partials in the center channel signal, which yield high disparity with left and right channels, are detected as dialogue. Subsequently, the dialogue frequency components are boosted to achieve increased dialogue intelligibility....

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  • EFFICIENCY OF GAS MIXTURES DETECTION BY RESISTIVE GAS SENSORS

    Publication

    - Year 2014

    Resistive gas sensors are very popular and are commonly used to detect various gases and their mixtures. Their main disadvantage is very limited selectivity. Practical use of gas sensors in environmental applications (e.g., in sewage systems to protect workers, in air conditioning systems to monitor atmosphere quality) requires determination of concentration of a few mixed gases at the same time. We would like to present recent...

  • Sleep Apnea Detection by Means of Analyzing Electrocardiographic Signal

    Obstructive sleep apnea (OSA) is a condition of cyclic, periodic ob-struction (stenosis) of the upper respiratory tract. OSA could be associated with serious cardiovascular problems, such as hypertension, arrhythmias, hearth failure or peripheral vascular disease. Understanding the way of connection between OSA and cardiovascular diseases is important to choose proper treatment strategy. In this paper, we present a method for integrated...

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  • Visual Lip Contour Detection for the Purpose of Speech Recognition

    Publication

    A method for visual detection of lip contours in frontal recordings of speakers is described and evaluated. The purpose of the method is to facilitate speech recognition with visual features extracted from a mouth region. Different Active Appearance Models are employed for finding lips in video frames and for lip shape and texture statistical description. Search initialization procedure is proposed and error measure values are...

  • An Overview of Image Analysis Techniques in Endoscopic Bleeding Detection

    Authors review the existing bleeding detection methods focusing their attention on the image processing techniques utilised in the algorithms. In the article, 18 methods were analysed and their functional components were identified. The authors proposed six different groups, to which algorithms’ components were assigned: colour techniques, reflecting features of pixels as individual values, texture techniques, considering spatial...

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  • Detection of Water on Road Surface with Acoustic Vector Sensor

    Publication

    - SENSORS - Year 2023

    This paper presents a new approach to detecting the presence of water on a road surface, employing an acoustic vector sensor. The proposed method is based on sound intensity analysis in the frequency domain. Acoustic events, representing road vehicles, are detected in the sound intensity signals. The direction of the incoming sound is calculated for the individual spectral components of the intensity signal, and the components...

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  • Stress Detection of Children With ASD Using Physiological Signals

    Publication
    • S. N. B. Aktas
    • P. Uluer
    • B. Coskun
    • E. Toprak
    • D. E. Barkana
    • H. Kose
    • T. Zorcec
    • B. Robins
    • A. Landowska

    - Year 2022

    This paper proposes a physiological signal-based stress detection approach for children with autism spectrum disorder (ASD) to be used in social and assistive robot inter- vention. Electrodermal activity (EDA) and blood volume pulse (BVP) signals are collected with an E4 smart wristband from children with ASD in different countries. The peak count and signal amplitude features are derived from EDA signal and used in order to detect...

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  • The use of machine learning for face regions detection in thermograms

    Publication

    - Year 2022

    The aim of this study is to analyse the methods of detecting characteristic points of the face in thermographic images. As part of the implementation an extensive analysis of scientific publications covering similar issues both for the analysis of images made in visible light and thermographic images was carried out. On the basis of this analysis, 3 models were selected and then they were implemented and tested on the basis of...

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  • Optimal placement of IMU sensor for the detection of children activity

    Publication

    - Year 2022

    In this paper an investigation to determine the optimal placement of IMU sensors for the purpose of children characteristic activity detection is presented. The article compares four different placement of two IMU sensors on human body. Ten healthy volunteers participated within the study. Data were collected firstly from two wireless 9-axial IMU sensors placed at the left and right wrists, then sensors were placed at lower back...

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  • Smart city and fire detection using thermal imaging

    Publication

    In this paper, we summarize the results obtained from fire experiments. The aim of the work was to develop new methods of fire detection using IR thermal imaging cameras and dedicated image processing. We conducted 4 experiments in different configurations and with the use of different objects. The conducted experiments have shown the great usefulness of infrared cameras for detecting the seeds of a fire. Even cheap low-resolution...

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  • Detection of petroleum products using optical coherence tomography

    In this work, we present a novel method developed for the analysis of the properties of thin layers for detecting petroleum products on a water surface using a commercially available optical coherence tomography (OCT) system. The spectral density analysis of the signal from a spectroscopic OCT (S-OCT) enables us to perform the precision calculation of the thin layer thickness and other properties like homogeneity, and dispersion,...

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  • The Application of Satellite Image Analysis in Oil Spill Detection

    In recent years, there has been an increasing use of satellite sensors to detect and track oil spills. The satellite bands, namely visible, short, medium infrared, and microwave radar bands, are used for this purpose. The use of satellite images is extremely valuable for oil spill analysis. With satellite images, we can identify the source of leakage and assess the extent of potential damage. However, it is not yet clear how to...

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  • Quantum randomness protected against detection loophole attacks

    Publication
    • P. A. Mironowicz
    • G. Cañas
    • J. Cariñe
    • E. S. Gómez
    • J. F. Barra
    • A. Cabello
    • G. B. Xavier
    • G. Lima
    • M. Pawłowski

    - Quantum Information Processing - Year 2021

    Device and semi-device-independent private quantum randomness generators are crucial for applications requiring private randomness. However, they are vulnerable to detection inefficiency attacks and this limits severely their usage for practical purposes. Here, we present a method for protecting semi-device-independent private quantum randomness generators in prepare-and-measure scenarios against detection inefficiency attacks....

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  • Experimental test of nonclassicality with arbitrarily low detection efficiency

    Publication

    - PHYSICAL REVIEW A - Year 2020

    We theoretically introduce and experimentally demonstrate the realization of a nonclassicality test that allows for arbitrarily low detection efficiency without invoking an extra assumption of independence of the devices. Our test and its implementation is set in a prepare-and-measure scenario with an upper limit on the classical communication capacity of the channel through which the systems are communicated. The essence for our...

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  • A Simple Neural Network for Collision Detection of Collaborative Robots

    Publication

    Due to the epidemic threat, more and more companies decide to automate their production lines. Given the lack of adequate security or space, in most cases, such companies cannot use classic production robots. The solution to this problem is the use of collaborative robots (cobots). However, the required equipment (force sensors) or alternative methods of detecting a threat to humans are usually quite expensive. The article presents...

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  • Review of Segmentation Methods for Coastline Detection in SAR Images

    Synthetic aperture radar (SAR) images acquired by airborne sensors or remote sensing satellites contain the necessary information that can be used to investigate various objects of interest on the surface of the Earth, including coastlines. The coastal zone is of great economic importance and is also very densely populated. The intensive and increasing use of coasts and changes of coastlines motivate researchers to try to assess...

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  • Comparison of edge detection algorithms for electric wire recognition

    Publication

    Edge detection is the preliminary step in image processing for object detection and recognition procedure. It allows to remove useless information and reduce amount of data before further analysis. The paper contains the comparison of edge detection algorithms optimized for detection of horizontal edges. For comparison purposes the algorithms were implemented in the developed application dedicated to detection of electric line...

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  • Detection of the Bee Queen Presence Using Sound Analysis

    Publication

    - Year 2018

    This work describes the system and methods of data analysis we use for beehive monitoring. We present overview of the hardware infrastructures used in hive monitoring systems and we describe algorithms used for analysis of this kind of data. Based on acquisited signals we construct the application that is capable to detect an absence of honey bee queen. We describe our method of signal analysis and present results that allow us...

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  • Label‐free optical detection of cyclosporine in biological fluids

    Publication

    - Journal of Biophotonics - Year 2019

    In this paper, a spectroscopic method for determination of cyclosporine concentrations in biological fluids is presented. Blood plasma and hemoglobin solutions are chosen for the experiment. For various cyclosporine concentrations in blood plasma and hemoglobin, absorbance measurements in spectra range from 600 to 1100 nm are performed. The measurement results are analyzed by the use of a dedicated algorithm. The obtained data...

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  • Applications of Raman spectroscopy for detection of selected substances in tissues

    Publication

    - Year 2019

    This dissertation explores the applications of Raman spectroscopy for biological tissue analysis. Basics of Raman and surface-enhanced Raman spectroscopy (SERS) are described, along with an analysis of the literature on biodetection and non-invasive blood analysis with emphasis on glucose detection. Instrumentation for Raman measurements is described. The sources of noise and interferences occurring in biological tissue measurements...

  • Methods of non-stationary components detection of random fluctuations

    Publication

    - Year 2003

    Przedstawiono problem detekcji składowych niestacjonarnych dla kilku rodzajów sygnałów losowych reprezentujących zjawiska szumowe w systemach fizycznych. Zaproponowano zastosowanie kilku specyficznych metod detekcji na podstawie analizy w dziedzinie częstotliwości i przedyskutowano uzyskane wyniki potwierdzające efektywność tych metod. Bardziej złożona obliczeniowo metoda z zastosowaniem transformaty falkowej daje lepsze rezultaty...

  • Detection of broadband signals in the field of aperture and array systems.

    Publication

    - HYDROACOUSTICS - Year 2003

    Anteny i szyki anten w dolnopasmowych systemach hydroakustycznych wnoszą istotne zniekształcenia liniowe wpływające na możliwości detekcji sygnałów szerokopasmowych. W artykule analizowany jest charakter takich zniekształceń metodą przestrzenno - czasowych odpowiedzi impulsowych. Sygnał odbierany w różnych kierunkach przestrzeni poddano filtracji na dwa sposoby z filtrem dopasowanym do sygnału nadawanego i filtrem dopasowanym...

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  • Genetics algorithms in multi-objective optimization of detection observer

    Publication

    W rozdziale przedstawia się możliwości zastosowania podejścia genetycznegodo zagadnień wielokryterialnej optymalizacji w przestrzeniach wielowymiaro-wych z wykorzystaniem koncepcji optymalności w sensie Pareto. Jako przykładilustrujący rozważane podejście daje się zadanie syntezy obserwatorów stanusłużących wykrywaniu błądów występujących w układzie sterowania bezzałogowe-go statku latającego oraz w układzie napędowym jednostki...

  • Damage detection of structures using spectral element method.

    Publication

    - Year 2004

    W pracy przedstawion mozlwiości detekcji uszkodzeń w postaci pęknięć zmęczeniowych i delaminacji z wykorzystaniem modeli budowanych za pomocą metody spektralnych elementów skończonych.

  • Genetic algorithm for fatique crack detection in Timoshenko beam.

    Publication

    - Year 2004

    W pracy przedstawiono metodę detekcji peknięć zmęczeniowych w początkowej fazie ich rozwoju. Algorytm detekcji wykorzystuje metodę algorytmów genetycznych połączoną z metodą gradientową. Funkcja celu oparta została o zmiany w propagujacej fali sprężystej.

  • Wow detection and compensation employing spectral processing of audio.

    Praca zawiera opis opracowanych algorytmów detekcji i kompensacji pasożytniczych modulacji częstotliwości wynikających z nierównomiernego przesuwu nośnika dźwięku. Proponowane metody opracowano ze szczególnym uwzględnieniem przypadkowych zniekształceń drżenia obecnych w archiwalnych filmowych ścieżkach dźwiękowych. Dodatkowo algorytmy badają wpływ zniekształceń na strukturę formantową sygnałów. Analiza zmian położenia formantów...