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Wyniki wyszukiwania dla: colvolutional calibration
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Calibration and metrological approach.
PublikacjaPrzedstawiono teraźniejsze podejście do procesu kalibracji. Różnorodność definicji dotyczących pomiarów w chemii analitycznej, nierzadko niekonsekwentnych, może wprowadzić w zakłopotanie. W pracy wyjaśniono pojęcia takie jak: kalibracja, substancje wykorzystywane do kalibracji, walidacja, niepewność materiałów odniesienia. Omówiono również pojęcie spójności pomiarowej w odniesieniu do procesu kalibracji.
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Calibration in Metrological Approach
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Evaluating Calibration and Robustness of Pedestrian Detectors
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Influence of boundary conditions in calibration chamber
PublikacjaPrzedstawiono wyniki badań modelowych penetracji w komorze kalibracyjnej z zastosowaniem modeli o różnej średnicy. Badania przeprowadzono w piasku średnio zagęszczonym i zagęszczonym przy stałej składowej poziomej naprężenia i przy składowej pionowej naprężenia w gruncie do 400 kPa. Określono wpływ warunków brzegowych na uzyskane wyniki oporu podstawy/oporu stożka lub ostrza dylatometru. Wyznaczono współczynniki korekcyjne oraz...
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Evaluating calibration and robustness of pedestrian detectors
PublikacjaIn this work robustness and calibration of modern pedestrian detectors are evaluated. Pedestrian detection is a crucial perception com- ponent in autonomous driving and here we study its performance under different image corruptions. Furthermore, we provide analysis of classifi- cation calibration of pedestrian detectors and we show a positive effect of using style-transfer augmentation technique. Our analysis is aimed as a step...
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A new approach in the calibration of passive samplersA new approach on the calibration of passive dosimeters for studies of indoor air (....--------ROZBIEŻNOŚĆ TYTUŁÓW-------------------------------------
PublikacjaPrzedstawiono problematykę kalibracji próbników pasywnych wykorzystywanych w Katedrze Chemii Analitycznej Wydz. Chemicznego PG do monitoringu jakości powietrza wewnętrznego. Proponowane podejście pozwala na oszacowanie wartości stałych kalibracyjnych, a tym samym oznaczenia stężeń związków od heksanu do dodekanu. Tak więc permeacyjne dozymetry pasywne mogą być wykorzystane w analogicznym zakresie jak próbniki aktywne.
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Mobile Laser Scanning Calibration on a Marine Platform
PublikacjaThe article describes the method of calibration of the Riegl VMZ-400 mobile scanning system on a floating platform and an experiment aimed at conducting measurements from a previously calibrated instrument. The issue of factors affecting the quality of measurements was discussed. Mobile laser scanning is an increasingly popular measurement solution, but it is still innovative on a European scale. The use of a floating platform...
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Kalibracja magnetometru magnetorezystancyjnego = Calibration of magnetoresistive magnetometer
PublikacjaObiekt o właściwościach ferromagnetycznych zaburza w bliskim otoczeniu równomierność ziemskiego pola magnetycznego. Mierząc indukcję magnetyczną można tego rodzaju obiekt wykryć i zlokalizować. W systemach magnetometrycznych wykrywających ukryte obiekty ferromagnetyczne stosowane są magnetometry transduktorowe, protonowe, pompowane optycznie oraz SQUID. Rozwój technologii półprzewodnikowej pozwala zastosować do tego rodzaju poszukiwań...
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Numerical modelling of DMT test in calibration chamber
PublikacjaAnaliza numeryczna badania DMT wykonanego w komorze kalibracyjnej w Katedrze Geotechniki Politechniki Gdańskiej. Badania przeprowadzono w piasku Lubiatowo średnio zagęszczonym i zagęszczonym przy składowej pionowej naprężenia 100 kPa. Modelowano proces wciskania ostrza dylatometru oraz fazę odkształcenia membrany. Analiza parametryczna uwzględnia wpływ wartości kąta tarcia wewnętrznego i dylatancji oraz modułu odkształcenia uzyskanych...
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Use of calibration chamber as a large triaxial apparatus
PublikacjaModelowanie wycinka kolumny żwirowej o wysokości 1 m w komorze kalibracyjnej. Badania przeprowadzono przy różnym naprężeniu bocznym w komorze. Kolumnę poddano obciążeniu pionowemu przy odkształceniu pionowym do 2%. Określono jej parametry wytrzymałościowe oraz moduły odkształcenia przy obciążeniu oraz w cyklach odciążenie-powtórne obciążenie.
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A Maximum-Likelihood Approach to Force-Field Calibration
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Architectural Modifications to Enhance Steganalysis with Convolutional Neural Networks
PublikacjaThis paper investigates the impact of various modifications introduced to current state-of-the-art Convolutional Neural Network (CNN) architectures specifically designed for the steganalysis of digital images. Usage of deep learning methods has consistently demonstrated improved results in this field over the past few years, primarily due to the development of newer architectures with higher classification accuracy compared to...
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Digits Recognition with Quadrant Photodiode and Convolutional Neural Network
PublikacjaIn this paper we have investigated the capabilities of a quadrant photodiode based gesture sensor in the recognition of digits drawn in the air. The sensor consisting of 4 active elements, 4 LEDs and a pinhole was considered as input interface for both discrete and continuous gestures. Index finger and a round pointer were used as navigating mediums for the sensor. Experiments performed with 5 volunteers...
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Clothes Detection and Classification Using Convolutional Neural Networks
PublikacjaIn 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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Characterizing the Scalability of Graph Convolutional Networks on Intel® PIUMA
PublikacjaLarge-scale Graph Convolutional Network (GCN) inference on traditional CPU/GPU systems is challenging due to a large memory footprint, sparse computational patterns, and irregular memory accesses with poor locality. Intel’s Programmable Integrated Unffied Memory Architecture (PIUMA) is designed to address these challenges for graph analytics. In this paper, a detailed characterization of GCNs is presented using the Open-Graph Benchmark...
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Performance Analysis of Convolutional Neural Networks on Embedded Systems
PublikacjaMachine learning is no longer confined to cloud and high-end server systems and has been successfully deployed on devices that are part of Internet of Things. This paper presents the analysis of performance of convolutional neural networks deployed on an ARM microcontroller. Inference time is measured for different core frequencies, with and without DSP instructions and disabled access to cache. Networks use both real-valued and...
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Penetration resistance of Lubiatowo sand in calibration chamber tests
PublikacjaAnaliza oporu na wciskanie na stożku sondy statycznej wciskanej na podstawie badań modelowych w komorze kalibracyjnej z kontrolą naprężeń bocznych. Przeprowadzono badania z zastosowaniem standardowej końcówki CPT, dylatometru DMT, mini-stożka CPT oraz pali modelowych o różnej średnicy. Badania wykonano na piasku modelowym z plaży w Lubiatowie w stanie średnio zagęszczonym i zagęszczonym w szerokim zakresie składowej pionowej naprężenia....
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Use of optical skin phantoms for calibration of dermatological lasers
PublikacjaA wide range of dermatological diseases can be efficiently treated using laser heating. Nevertheless, before the new laser is introduced into clinical practice, its parameters and ability to interact with human skin have to be carefully examined. In order to do that optical skin phantoms can be used. Such phantoms closely imitate the scattering and absorption properties of real human skin tissue along with its thermal properties,...
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Equal Baseline Camera Array—Calibration, Testbed and Applications
PublikacjaThis paper presents research on 3D scanning by taking advantage of a camera array consisting of up to five adjacent cameras. Such an array makes it possible to make a disparity map with a higher precision than a stereo camera, however it preserves the advantages of a stereo camera such as a possibility to operate in wide range of distances and in highly illuminated areas. In an outdoor environment, the array is a competitive alternative...
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Deep convolutional neural network for predicting kidney tumour malignancy
PublikacjaPurpose: According to the statistics, up to 15-20% of removed solid kidney tumors turn out to be benign in postoperative histopathological examination, despite having been identified as malignant by a radiologist. The aim of the research was to limit the number of unnecessary nephrectomies of benign tumors. Methods or Background: We propose a machine-aided diagnostic system for kidney...
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Automatic Breath Analysis System Using Convolutional Neural Networks
PublikacjaDiseases related to the human respiratory system have always been a burden for the entire society. The situation has become particularly difficult now after the outbreak of the COVID-19 pandemic. Even now, however, it is common for people to consult their doctor too late, after the disease has developed. To protect patients from severe disease, it is recommended that any symptoms disturbing the respiratory system be detected as...
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Automatic Breath Analysis System Using Convolutional Neural Networks
PublikacjaDiseases related to the human respiratory system have always been a burden for the entire society. The situation has become particularly difficult now after the outbreak of the COVID-19 pandemic. Even now, however, it is not uncommon for people to consult their doctor too late, after the disease has developed. To protect patients from severe disease, it is recommended that any symptoms disturbing the respiratory system be detected...
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Optical method for verification of homogeneity of phantoms for calibration of magnetic resonance
PublikacjaThe primary purpose of this study was to develop a laboratory photonic set-up for characterisation of homogeneity of gel phantoms for calibration of magnetic resonance. In this system, optical coherence tomography allows the detection of micro- and macroscopic heterogeneities of a structure. The set-up was used to perform measurements of agar and agar-carrageenan gels, which are the basis for more complex phantoms for magnetic...
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Calibration of POCIS and PASSIL passive samplers – influence of humic acids
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A calibration model for gas sensor array in varying environmental conditions
PublikacjaAbstract: Gas-analyzing systems based on gas sensors, commonly referred to as electronic noses, are the systems which enable the recognition of volatile compounds in their working environment and provide the on-line results of analysis. The most commonly used type of sensors in such systems is semiconductor gas sensors. They are considered to be the most reliable in the long-term applications (more than 1 year), however,...
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A calibration model for gas sensor array in varying environmental conditions
PublikacjaAbstract: Gas-analyzing systems based on gas sensors, commonly referred to as electronic noses, are the systems which enable the recognition of volatile compounds in their working environment and provide the on-line results of analysis. The most commonly used type of sensors in such systems is semiconductor gas sensors. They are considered to be the most reliable in the long-term applications (more than 1 year), however,...
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DESIGN AND CALIBRATION OF ROLLING RESISTANCE TEST TRAILER R2mk.2
PublikacjaThe paper describes construction nad calibration procedures of the rolling resistance test trailer R2 Mk2. The trailer is design to measure rolling resistance of passenger car tyres in various road conditions on trafficked road. The trailer utilizes so called angle method also known as vertical arm method. The paper presents also calibration procedures that are necessary to ascertain good precision of the measurements.
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Recognition of Emotions in Speech Using Convolutional Neural Networks on Different Datasets
PublikacjaArtificial Neural Network (ANN) models, specifically Convolutional Neural Networks (CNN), were applied to extract emotions based on spectrograms and mel-spectrograms. This study uses spectrograms and mel-spectrograms to investigate which feature extraction method better represents emotions and how big the differences in efficiency are in this context. The conducted studies demonstrated that mel-spectrograms are a better-suited...
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From Linear Classifier to Convolutional Neural Network for Hand Pose Recognition
PublikacjaRecently gathered image datasets and the new capabilities of high-performance computing systems have allowed developing new artificial neural network models and training algorithms. Using the new machine learning models, computer vision tasks can be accomplished based on the raw values of image pixels instead of specific features. The principle of operation of deep neural networks resembles more and more what we believe to be happening...
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An Improved Convolutional Neural Network for Steganalysis in the Scenario of Reuse of the Stego-Key
PublikacjaThe topic of this paper is the use of deep learning techniques, more specifically convolutional neural networks, for steganalysis of digital images. The steganalysis scenario of the repeated use of the stego-key is considered. Firstly, a study of the influence of the depth and width of the convolution layers on the effectiveness of classification was conducted. Next, a study on the influence of depth and width of fully connected...
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<title>Diagnostic and calibration system for the CMS RPC muon trigger</title>
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Effect of salinity and pH on the calibration of the extraction of pharmaceuticals from water by PASSIL
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Calibration of Passive Samplers for the Monitoring of Pharmaceuticals in Water-Sampling Rate Variation
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Calibration of acoustic vector sensor based on MEMS microphones for DOA estimation
PublikacjaA procedure of calibration of a custom 3D acoustic vector sensor (AVS) for the purpose of direction of arrival (DoA) estimation, is presented and validated in the paper. AVS devices working on a p-p principle may be constructed from standard pressure sensors and a signal processing system. However, in order to ensure accurate DoA estimation, each sensor needs to be calibrated. The proposed algorithm divides the calibration process...
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Calibration of the Chemcatcher passive sampler for the monitoring of priority organic pollutants in water
PublikacjaNa Univeristy of Portsmouth (UK) opracowano próbnik pasywny typu Chemcatcher, który może być stosowany do długotrwałego monitoringu organicznych zanieczyszczeń wody. Na działanie wszystkich próbników pasywnych wpływ mają warunki środowiskowe takie jak np. ruch wody czy temperatura. Przed użyciem próbnika Chemcatcher w badaniach polowych wymagana więc była wcześniejsza kalibracja w laboratorium. Przedstawiono wyniki serii doświadczeń...
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Verification of ESPAR Antennas Performance in the Simple and Calibration Free Localization System
PublikacjaThis paper presents the results of simulations and measurements of an indoor localization system that uses Electronically Steerable Parasitic Array Radiator (ESPAR) antennas with switched directional beam. Proposed antennas are dedicated for 2.4GHz ISM low-cost applications where determination of the incoming signal is required. The antennas performance is analyzed and verified with relation to positioning methods based on the...
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Mechanical characterization of a gravel column in a calibration chamber operating as a triaxial cell
PublikacjaA series of tests considering the behavior of gravel columns was performed. A segment of column with a height of 1 m and a diameter of 0.53 m was modelled in a calibration chamber used as a triaxial cell at three different lateral stress applied. The vertical load transferred on the column head was simulated with steady increase of water pressures in the upper and lower membranes. During the loading the volumetric changes in the...
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Calibration-Free Single-Anchor Indoor Localization Using an ESPAR Antenna
PublikacjaIn this paper, we present a novel, low-cost approach to indoor localization that is capable of performing localization processes in real indoor environments and does not require calibration or recalibration procedures. To this end, we propose a single-anchor architecture and design based on an electronically steerable parasitic array radiator (ESPAR) antenna and Nordic Semiconductor nRF52840 utilizing Bluetooth Low Energy (BLE)...
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A Novel Iterative Decoding for Iterated Codes Using Classical and Convolutional Neural Networks
PublikacjaForward error correction is crucial for communication, enabling error rate or required SNR reduction. Longer codes improve correction ratio. Iterated codes offer a solution for constructing long codeswith a simple coder and decoder. However, a basic iterative code decoder cannot fully exploit the code’s potential, as some error patterns within its correction capacity remain uncorrected.We propose two neural network-assisted decoders:...
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System for monitoring road slippery based on CCTV cameras and convolutional neural networks
PublikacjaThe slipperiness of the surface is essential for road safety. The growing number of CCTV cameras opens the possibility of using them to automatically detect the slippery surface and inform road users about it. This paper presents a system of developed intelligent road signs, including a detector based on convolutional neural networks (CNNs) and the transferlearning method employed to the processing of images acquired with video...
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Visual Features for Improving Endoscopic Bleeding Detection Using Convolutional Neural Networks
PublikacjaThe presented paper investigates the problem of endoscopic bleeding detection in endoscopic videos in the form of a binary image classification task. A set of definitions of high-level visual features of endoscopic bleeding is introduced, which incorporates domain knowledge from the field. The high-level features are coupled with respective feature descriptors, enabling automatic capture of the features using image processing methods....
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Highlighting interlanguage phoneme differences based on similarity matrices and convolutional neural network
PublikacjaThe goal of this research is to find a way of highlighting the acoustic differences between consonant phonemes of the Polish and Lithuanian languages. For this purpose, similarity matrices are employed based on speech acoustic parameters combined with a convolutional neural network (CNN). In the first experiment, we compare the effectiveness of the similarity matrices applied to discerning acoustic differences between consonant...
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A novel calibration method for RSS-based DoA estimation using ESPAR antennas
PublikacjaIn this paper, we introduce a new calibration method that can successfully be used in direction of arrival (DoA) estimation using electronically steerable parasitic array radiator (ESPAR) antennas and employing power-pattern cross-correlation (PPCC) algorithm, which relies on received signal strength (RSS) values recorded at the antenna output port. Instead of the commonly used two-step approach, during which ESPAR antenna calibration...
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A New Approach to Generation of Standard Gas Mixtures used in the Calibration of Gas Analysers
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Calibration of the CMS drift tube chambers and measurement of the drift velocity with cosmic rays
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Calibration of permeation passive samplers with silicone membranes based on physicochemical properties of the analytes.
PublikacjaW pracy opisano sposób kalibracji pasywnych dozymetrów permeacyjnych, wykorzystywanych w badaniach powietrza w oparciu o własności fizyko-chemiczne analitów. Stwierdzono silną zależność pomiędzy stałą kalibracyjną (K) dozymetrów i liczbą atomów węgla w cząsteczce analitu (w obrębie danej grupy związków chemicznych) dla alkoholi, alifatycznych i aromatycznych węglowodorów oraz estrów. Taka zależność występuje również pomiędzy...
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Experiments and calibration of a bond-slip relation and efficiency factors for textile reinforcement in concrete
PublikacjaTextile reinforcement yarns consist of many filaments, which can slip relative each other. At modelling of the global structural behaviour, interfilament slip in the yarns, and slip between the yarns and the concrete can be considered by efficiency factors for the stiffness and strength of the yarns, and by applying a bond-slip relation between yarns and concrete. In this work, an effective and robust method for calibration of...
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Application of auto calibration and linearization algorithms to improve sound quality of computer devices
PublikacjaAn application of auto calibration and linearization algorithms designed for correcting acoustic characteristics of selected computer devices was presented in the paper. The functionality of the algorithms were presented for two kind of computer devices: ultrabook class computer and portable device of All-In-One type. The algorithms were adjusted for the given type of the device on the basis of series of measurements conducted...
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Accurate Lightweight Calibration Methods for Mobile Low-Cost Particulate Matter Sensors
PublikacjaMonitoring air pollution is a critical step towards improving public health, particularly when it comes to identifying the primary air pollutants that can have an impact on human health. Among these pollutants, particulate matter (PM) with a diameter of up to 2.5 μ m (or PM2.5) is of particular concern, making it important to continuously and accurately monitor pollution related to PM. The emergence of mobile low-cost PM sensors...
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ECU calibration for gaseous dual fuel supply system in compression ignition engines
PublikacjaThe dual fuel (DF) combustion mode is proven solution that allows to improve or get at the same level engine performance and reduce toxic compounds in exhaust gases which is confirmed by researchers and end-users. DF combustion mode uses two fuels gaseous fuel as a primary energy source and a pilot quantity of diesel fuel as ignition source. However, in order, to fully take advantage of the potential of the dual fuel mode, DF system...