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STUDIES IN SECOND LANGUAGE ACQUISITION
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An Analog Sub-Miliwatt CMOS Image Sensor With Pixel-Level Convolution Processing
PublikacjaA new approach to an analog ultra-low power medium-resolution vision chip design is presented. The prototype chip performs low-level image processing algorithms in real time. Only a photo-diode, MOS switches and two capacitors are used to create an analog processing element (APE) that is able to realize any convolution algorithm based on a full 3x3 kernel. The proof-of-concept circuit is implemented in 0.35 µm CMOS technology,...
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an intelligent image processing sensor - the algorithm and the hardware implementation
PublikacjaW artykule przedstawiono algorytm przeznaczony do rozpoznawania obiektów ruchomych w obrazie do celu analizy ruchu pojazdów. Algorytm został zrealizowany w układzie FPGA.Ang.: This paper describes the idea and theimplementation of the robust algorithm dedicated toextraction of moving vehicles from real-time cameraimages for the evaluation of traffic parameters, suchas the number of vehicles, their direction of movementand their...
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A comprehensive survey on low-cost ECG acquisition systems: Advances on design specifications, challenges and future direction
PublikacjaAvailability of low-cost, reliable, and portable Electrocardiography (ECG) devices is still very important in the medical world today. Despite the tremendous technological advancement, Cardiovascular Diseases (CVDs) remain a serious health burden claiming millions of lives on an annual basis globally. This is more prevalent in Low and Middle-Income Countries (LMICs) where there are huge financial instability and lack of critical...
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An Ultra-Low-Energy Analog Comparator for A/D Converters in CMOS Image Sensors
PublikacjaThis paper proposes a new solution of an ultra-low-energy analog comparator, dedicated to slope analog-to-digital converters (ADC), particularly suited for CMOS image sensors (CISs) featuring a large number of ADCs. For massively parallel imaging arrays, this number may be as high as tens-hundreds of thousands ADCs. As each ADC includes an analog comparator, the number of these comparators in CIS is always high. Detailed analysis...
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Deep learning based thermal image segmentation for laboratory animals tracking
PublikacjaAutomated systems for behaviour classification of laboratory animals are an attractive alternative to manual scoring. However, the proper animals separation and tracking, especially when they are in close contact, is the bottleneck of the behaviour analysis systems. In this paper, we propose a method for the segmentation of thermal images of laboratory rats that are in close contact during social behaviour tests. For this, we are...
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Multi-Camera Vehicle Tracking Using Local Image Features and Neural Networks
PublikacjaA method for tracking moving objects crossing fields of view of multiple cameras is presented. The algorithm utilizes Artificial Neural Networks (ANNs). Each ANN is trained to recognize images of one moving object acquired by a single camera. Local image features calculated in the vicinity of automatically detected interest points are used as object image parameters. Next, ANNs are employed to identify the same objects captured...
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Machine Learning and Deep Learning Methods for Fast and Accurate Assessment of Transthoracic Echocardiogram Image Quality
PublikacjaHigh-quality echocardiogram images are the cornerstone of accurate and reliable measurements of the heart. Therefore, this study aimed to develop, validate and compare machine learning and deep learning algorithms for accurate and automated assessment of transthoracic echocardiogram image quality. In total, 4090 single-frame two-dimensional transthoracic echocardiogram...
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WordVenture - COOPERATIVE WordNet EDITOR Architecture for Lexical Semantic Acquisition
PublikacjaThis article presents architecture for acquiring lexical semantics in a collaborative approach paradigm. The system enables functionality for editing semantic networks in a wikipedia-like style. The core of the system is a user-friendly interface based on interactive graph navigation. It has been used for semantic network presentation, and brings simultaneously modification functionality.
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GBTX Emulation for BM@N/MPD Data Acquisition Systems
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Thermographic imaging of electrochemical double layer capacitors during cycling charging - discharging 0 - 2,7 V at 64 mA. Sample 91. Image period: 5 sec.
Dane BadawczeDataset contains thermal images of prototype electrochemical double layer capacitor taken during cyclic charging - discharging. The sample was charged to 2,7 V and discharged to 10 mV by constant current 64 mA. Sample 91. Pictures were taken relatively fast, with period of 5 sec in order to examine the fast fluctuations of sample temperature during...
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Thermographic imaging of electrochemical double layer capacitors during cycling charging - discharging 0 - 2,7 V at 120 mA. Sample 103. Image period: 0,5 sec.
Dane BadawczeDataset contains thermal images of prototype electrochemical double layer capacitor taken during cyclic charging - discharging. The sample was charged to 2,7 V and discharged to 10 mV by constant current 120 mA. Sample 103. Thermographic pictures were taken relatively fast, with period of 0,5 sec in order to examine the fast fluctuations of sample...
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Thermographic imaging of electrochemical double layer capacitors during cycling charging - discharging 0 - 3,4 V at 420 mA. Sample 103. Image period: 0,5 sec.
Dane BadawczeDataset contains thermal images of prototype electrochemical double layer capacitor taken during cyclic charging - discharging. The sample was charged to 3,4 V and discharged to 10 mV by constant current 420 mA. Sample 103. Pictures were taken with period of 0,5 sec (2 Hz) in order to examine the fast fluctuations of sample temperature during charging...
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Thermographic imaging of electrochemical double layer capacitors during cycling charging - discharging 0 - 3,3 V at 420 mA. Sample 103. Image period: 2 sec.
Dane BadawczeDataset contains thermal images of prototype electrochemical double layer capacitor taken during cyclic charging - discharging. The sample was charged to 3,3 V and discharged to 10 mV by constant current 420 mA. Sample 103. Pictures were taken relatively fast, with period of 2 sec in order to examine the fast fluctuations of sample temperature during...
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Thermographic imaging of electrochemical double layer capacitors during cycling charging - discharging 0 - 3,6 V at 420 mA. Sample 103. Image period: 0,5 sec.
Dane BadawczeDataset contains thermal images of prototype electrochemical double layer capacitor taken during cyclic charging - discharging. The sample was charged to 3,6 V and discharged to 10 mV by constant current 420 mA. Sample 103. Pictures were taken with period of 0,5 sec (2 Hz) in order to examine the fast fluctuations of sample temperature during charging...
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Thermographic imaging of electrochemical double layer capacitors during cycling charging - discharging 0 - 3,5 V at 420 mA. Sample 103. Image period: 0,5 sec.
Dane BadawczeDataset contains thermal images of prototype electrochemical double layer capacitor taken during cyclic charging - discharging. The sample was charged to 3,5 V and discharged to 10 mV by constant current 420 mA. Sample 103. Pictures were taken with period of 0,5 sec (2 Hz) in order to examine the fast fluctuations of sample temperature during charging...
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Thermographic imaging of electrochemical double layer capacitors during cycling charging - discharging 0 - 3,6 V at 420 mA. Sample 103. Image period: 1 sec.
Dane BadawczeDataset contains thermal images of prototype electrochemical double layer capacitor taken during cyclic charging - discharging. The sample was charged to 3,6 V and discharged to 10 mV by constant current 420 mA. Sample 103. Pictures were taken with period of 1 sec (1 Hz) in order to examine the fast fluctuations of sample temperature during charging...
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Thermographic imaging of electrochemical double layer capacitors during cycling charging - discharging 0 - 3,4 V at 420 mA. Sample 103. Image period: 1 sec.
Dane BadawczeDataset contains thermal images of prototype electrochemical double layer capacitor taken during cyclic charging - discharging. The sample was charged to 3,4 V and discharged to 10 mV by constant current 420 mA. Sample 103. Pictures were taken with period of 1 sec in order to examine the fast fluctuations of sample temperature during charging - discharging...
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Sopot - is it possible to retain the unique image of the city?
PublikacjaSopot is the best-known seaside resort in Poland. The city is unique with regard not only to its location and natural values, but also its interesting architecture, which dates back to the end of the 19th and the beginning of the 20th century. The relic of that era is the largest in the country number of buildings characteristic for the Northern European seaside resorts. The architecture of historic Sopot is dominated by eclectic...
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A Solution to Image Processing with Parallel MPI I/O and Distributed NVRAM Cache
PublikacjaThe paper presents a new approach to parallel image processing using byte addressable, non-volatile memory (NVRAM). We show that our custom built MPI I/O implementation of selected functions that use a distributed cache that incorporates NVRAMs located in cluster nodes can be used for efficient processing of large images. We demonstrate performance benefits of such a solution compared to a traditional implementation without NVRAM...
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Medical Image Segmentation Using Deep Semantic-based Methods: A Review of Techniques, Applications and Emerging Trends
PublikacjaSemantic-based segmentation (Semseg) methods play an essential part in medical imaging analysis to improve the diagnostic process. In Semseg technique, every pixel of an image is classified into an instance, where each class is corresponded by an instance. In particular, the semantic segmentation can be used by many medical experts in the domain of radiology, ophthalmologists, dermatologist, and image-guided radiotherapy. The authors...
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Segmentation Quality Refinement in Large-Scale Medical Image Dataset with Crowd-Sourced Annotations
PublikacjaDeployment of different techniques of deep learning including Convolutional Neural Networks (CNN) in image classification systems has accomplished outstanding results. However, the advantages and potential impact of such a system can be completely negated if it does not reach a target accuracy. To achieve high classification accuracy with low variance in medical image classification system, there is needed the large size of the...
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Thermographic imaging of electrochemical double layer capacitors during cycling charging - discharging 0 - 3,3 V at 420 mA. Sample 103, run #1.
Dane BadawczeDataset contains thermal images of prototype electrochemical double layer capacitor taken during cyclic charging - discharging. The sample was charged to 3,3 V and discharged to 10 mV by constant current 420 mA. Sample 103, experiment run #1. Voltage was increased to accelerate the ageing process.The images were taken with thermographic camera VigoCAM...
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Simultaneous measurements of ECG, body Impedance and temperature
Dane BadawczeThe data are complementary part of the experiment designed to demonstrate how to use the network protocols to transmit medical data. The dataset contains biomedical signals of ECG, Impedanc and temperature acquired simultaneously. The data allow students to become familiar with data acquisition methods (simulate data transmission by medical device over...
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Annual growth of House price index in European Union in 2006-2017
Dane BadawczeThe financial crisis of 2008 has caused a number of changes in the investment of both companies and individuals. One of the widely invested assets became the real estate market. The decline in real estate prices was noted in 2009 and 2012-2014. The highest decrease in property prices was indicated in Bulgaria, Ireland, Lithuania, Latvia, Slovakia and...
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Normalization of face illumination using basic knowledge and information extracted from a single image
PublikacjaThis paper presents a method for face image normalization that can be applied to the extraction of illumination invariant facial features or used to remove bad lighting effects and produce high-quality, photorealistic results. Most of the existing approaches concentrate on separating the constant albedo from the variable light intensity; that concept, however, is based on the Lambertian model, which fails in the presence of specularities...
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The influence of image masks definition onsegmentation results of histopathological imagesusing convolutional neural network
PublikacjaAbstract—In the era of collecting large amounts of tissue materials, assisting the work of histopathologists with various electronic and information IT tools is an undeniable fact. The traditional interaction between a human pathologist and the glass slide is changing to interaction between an AI pathologist with a whole slide images. One of the important tasks is the segmentation of objects (e.g. cells) in such images. In this...
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A High-Efficient Measurement System With Optimization Feature for Prototype CMOS Image Sensors
PublikacjaIn this paper, a gray-scale CMOS image sensor (CIS) characterization system with an optimization feature has been proposed. By using a very fast and precise control of light intensity, based on the pulsewidth-modulation method, it is avoided to measure the illuminance every time. These features accelerate the multicriteria CIS optimization requiring many thousands of measurements. The system throughput is 2.5 Gb/s, which allows...
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Indect input to image processing
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Thermographic imaging of electrochemical double layer capacitors during cycling charging - discharging 0 - 3,6 V at 420 mA. Sample 103. Image period: 0,5 sec.
Dane BadawczeDataset contains thermal images of prototype electrochemical double layer capacitor taken during cyclic charging - discharging. The sample was charged to 3,6 V and discharged to 10 mV by constant current 420 mA. Sample 103. Pictures were taken with period of 0,5 sec (2 Hz) in order to examine the fast fluctuations of sample temperature during charging...
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Thermographic imaging of electrochemical double layer capacitors during cycling charging - discharging 0 - 3,6 V at 420 mA. Sample 103. Image period: 1 sec.
Dane BadawczeDataset contains thermal images of prototype electrochemical double layer capacitor taken during cyclic charging - discharging. The sample was charged to 3,6 V and discharged to 10 mV by constant current 420 mA. Sample 103. Pictures were taken with period of 1 sec (1 Hz) in order to examine the fast fluctuations of sample temperature during charging...
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CNN Architectures for Human Pose Estimation from a Very Low Resolution Depth Image
PublikacjaThe paper is dedicated to proposing and evaluating a number of convolutional neural network architectures for calculating a multiple regression on 3D coordinates of human body joints tracked in a single low resolution depth image. The main challenge was to obtain a high precision in case of a noisy and coarse scan of the body, as observed by a depth sensor from a large distance. The regression network was expected to reason about...
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Deterioration of masonry structure investigated by a thermal camera with a qualitative assessment of thermal image processing
PublikacjaThermal imaging is contemporary remote sensing measurement technique, which provides an image of the temperature distribution in the measured object. The method is widely used, due to its mobility as well as the non-destructive character of the measurement. Infrared thermography is especially relevant in the inspection of insulation, what is more, it is a suitable device for detecting thermal bridges and structural changes, which...
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Deep Learning: A Case Study for Image Recognition Using Transfer Learning
PublikacjaDeep learning (DL) is a rising star of machine learning (ML) and artificial intelligence (AI) domains. Until 2006, many researchers had attempted to build deep neural networks (DNN), but most of them failed. In 2006, it was proven that deep neural networks are one of the most crucial inventions for the 21st century. Nowadays, DNN are being used as a key technology for many different domains: self-driven vehicles, smart cities,...
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MSIS sonar image segmentation method based on underwater viewshed analysis and high-density seabed model
PublikacjaHigh resolution images of Mechanically Scanned Imaging Sonars can bring detailed representation of underwater area if favorable conditions for acoustic signal to propagate are provided. However to properly asses underwater situation based solely on such data can be challenging for less than proficient interpreter. In this paper we propose a method to enhance interpretative potential of MSIS image by dividing it in to subareas depending...
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Expedited Acquisition of Database Designs for Reduced-Cost Performance-Driven Modeling and Rapid Dimension Scaling of Antenna Structures
PublikacjaFast replacement models have been playing an increasing role in high-frequency electronics, including the design of antenna structures. Their role is to improve computational efficiency of the procedures that normally entail large numbers of expensive full-wave electromagnetic (EM) simulations, e.g., parametric optimization or uncertainty quantification. Recently introduced performance-driven modeling methods, such as the nested...
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On Computationally-Efficient Reference Design Acquisition for Reduced-Cost Constrained Modeling and Re-Design of Compact Microwave Passives
PublikacjaFull-wave electromagnetic (EM) analysis has been playing a major role in the design of microwave components for the last few decades. In particular, EM tools allow for accurate evaluation of electrical performance of miniaturized structures where strong cross-coupling effects cannot be adequately quantified using equivalent network models. However, EM-based design procedures (parametric optimization, statistical analysis) generate...
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Data Acquisition and Processing for GeoAI Models to Support Sustainable Agricultural Practices
PublikacjaThere are growing opportunities to leverage new technologies and data sources to address global problems related to sustainability, climate change, and biodiversity loss. The emerging discipline of GeoAI resulting from the convergence of AI and Geospatial science (Geo-AI) is enabling the possibility to harness the increasingly available open Earth Observation data collected from different constellations of satellites and sensors...
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<title>Data acquisition module implemented on PCI mezzanine card</title>
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IMAGE CORRELATION AS A TOLL FOR TRACKING FACIAL CHANGES CAUSING BY EXTERNAL STIMULI
PublikacjaExpressions of the human face bring a lot of information, which are a valuable source in the areas of computer vision, remote sensing and affective computing. For years, by analyzing the movement of the skin and facial muscles scientists are trying to create the perfect tool, based on image analysis, allowing the recognition of emotional states of human beings. To create a reliable algorithm, it is necessary to explore and examine...
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Image Analysis and Stereology
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Image Processing On Line
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IMAGE AND VISION COMPUTING
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Mapping and Image Science
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Journal of Image and Graphics
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Music and the Moving Image
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Multi-core processing system for real-time image processing in embedded computer vision applications
PublikacjaW artykule opisano architekturę wielordzeniowego programowalnego systemu do przetwarzania obrazów w czasie rzeczywistym. Dane obrazu są przetwarzane równocześnie przez wszystkie procesory. System umożliwia niskopoziomowe przetwarzanie obrazów,np. odejmowanie tła, wykrywanie obiektów ruchomych, transformacje geometryczne, indeksowanie wykrytych obiektów, ocena ich kształtu oraz podstawowa analiza trajektorii ruchu. Ang:This paper...
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BIOACOUSTICS-THE INTERNATIONAL JOURNAL OF ANIMAL SOUND AND ITS RECORDING
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ColorNephroNet: Kidney tumor malignancy prediction using medical image colorization
PublikacjaRenal tumor malignancy classification is one of the crucial tasks in urology, being a primary factor included in the decision of whether to perform kidney removal surgery (nephrectomy) or not. Currently, tumor malignancy prediction is determined by the radiological diagnosis based on computed tomography (CT) images. However, it is estimated that up to 16% of nephrectomies could have been avoided because the tumor that had been...
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Thermographic imaging of electrochemical double layer capacitors during cycling charging - discharging 0 - 3,6 V at 420 mA. Sample 103, run #2. Image period: 1 sec.
Dane BadawczeDataset contains thermal images of prototype electrochemical double layer capacitor taken during cyclic charging - discharging. The sample was charged to 3,6 V and discharged to 10 mV by constant current 420 mA. Sample 103. Pictures were taken with period of 1 sec (1 Hz) in order to examine the fast fluctuations of sample temperature during charging...