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    Wyświetlanie 1-8 z 8
    Tytuł:
    The study of co-design in the area of manufacturing
    Autorzy:
    Krawczyk-Dembicka, Elżbieta
    Urban, Wiesław
    Łukaszewicz, Krzysztof
    Powiązania:
    https://bibliotekanauki.pl/articles/2173723.pdf
    Data publikacji:
    2022
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    co-design
    manufacturing
    sustainable production
    Industry 4.0
    simulation
    współprojektowanie
    produkcja
    zrównoważona produkcja
    Przemysł 4.0
    symulacja
    Opis:
    The study is devoted to the co-design concept which is not widely studied in the manufacturing industry area. The concept is just practiced but not theorized and not investigated enough, although it greatly deserves it because of its perspectives and advantages potential in the technology changes era. This study aims to present an investigation of literature views on co-design in manufacturing operations, with the comparison to service literature where it is widely discussed; the study also aims at in-depth investigations of co-design occurrences in two industrial cases of product development to understand their nature and circumstances. In addition, the influence of Industry 4.0 technologies and their coexistence with the concept of sustainability will also be strongly taken into consideration in the empirical part of this study. The process of the individualized production of the industrial line for animal food packing and cardboard packaging production has been studied according to case study methodology. The study demonstrates that co-design could contribute to bettering the process of new product development and achieving products more accurate for the final users’ requirements. It goes hand in hand with one of the core ideas of sustainability, which is to have long-lasting products, exploited by the customer with a high level of satisfaction for a longer time. The study implies that the technologies of Industry 4.0 could support wider and more effective co-design exploitation by manufacturing entities.
    Źródło:
    Bulletin of the Polish Academy of Sciences. Technical Sciences; 2022, 70, 6; art. no. e143930
    0239-7528
    Pojawia się w:
    Bulletin of the Polish Academy of Sciences. Technical Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Conceptualization of Industry 4.0 technology for the production of tailor-made furniture – a case study
    Autorzy:
    Łukaszewicz, Krzysztof
    Urban, Wiesław
    Krawczyk-Dembicka, Elżbieta
    Powiązania:
    https://bibliotekanauki.pl/articles/2204519.pdf
    Data publikacji:
    2023
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    product development
    customized manufacturing
    furniture
    conceptual study
    Industry 4.0
    rozwój produktu
    Przemysł 4.0
    produkcja na zamówienie
    meble
    studium koncepcyjne
    Opis:
    Production is becoming more customer-focused as it departs from delivering standardized mass products to market segments, and the emerging Industry 4.0 technologies render this much easier than before. These technologies enable two-way information exchange with customers throughout all the steps of product development, particularly in terms of tailor-made products. This study aims at presenting proposals of implementing Industry 4.0 technologies into the process of tailored products, where the product is customized for the customer from the start and where adjustments are also made at the manufacturing stage. The study also aims to build a concept of intensification of customer contact and to improve the process flow by applying Industry 4.0 technologies. The study’s subject is tailor-made furniture production, with individually designed products that are manufactured and installed at a customer’s facilities. The company in the study operates on a small scale. The study employs a case study methodology that shows how the process can be improved in terms of real-time effective customer contact and process flow. The huge potential of 3D visualization as well as augmented and virtual reality technologies are also demonstrated. The study concludes with several directions for further development of existing technology solutions.
    Źródło:
    Bulletin of the Polish Academy of Sciences. Technical Sciences; 2023, 71, 1; art. no. e144587
    0239-7528
    Pojawia się w:
    Bulletin of the Polish Academy of Sciences. Technical Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Rain water chemistry at Calypsobyen, Svalbard
    Autorzy:
    Krawczyk, Wiesława Ewa
    Bartoszewski, Stefan A.
    Siwek, Krzysztof
    Powiązania:
    https://bibliotekanauki.pl/articles/2051715.pdf
    Data publikacji:
    2008
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    Arctic
    Svalbard
    Bellsund
    precipitation
    long-range transport of pollutants
    Źródło:
    Polish Polar Research; 2008, 29, 2; 149-162
    0138-0338
    2081-8262
    Pojawia się w:
    Polish Polar Research
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Deep learning-based framework for tumour detection and semantic segmentation
    Autorzy:
    Kot, Estera
    Krawczyk, Zuzanna
    Siwek, Krzysztof
    Królicki, Leszek
    Czwarnowski, Piotr
    Powiązania:
    https://bibliotekanauki.pl/articles/2173573.pdf
    Data publikacji:
    2021
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    deep learning
    medical imaging
    tumour detection
    semantic segmentation
    image fusion
    technika deep learning
    głęboka nauka
    obrazowanie medyczne
    wykrywanie guza
    segmentacja semantyczna
    połączenie obrazu
    Opis:
    For brain tumour treatment plans, the diagnoses and predictions made by medical doctors and radiologists are dependent on medical imaging. Obtaining clinically meaningful information from various imaging modalities such as computerized tomography (CT), positron emission tomography (PET) and magnetic resonance (MR) scans are the core methods in software and advanced screening utilized by radiologists. In this paper, a universal and complex framework for two parts of the dose control process – tumours detection and tumours area segmentation from medical images is introduced. The framework formed the implementation of methods to detect glioma tumour from CT and PET scans. Two deep learning pre-trained models: VGG19 and VGG19-BN were investigated and utilized to fuse CT and PET examinations results. Mask R-CNN (region-based convolutional neural network) was used for tumour detection – output of the model is bounding box coordinates for each object in the image – tumour. U-Net was used to perform semantic segmentation – segment malignant cells and tumour area. Transfer learning technique was used to increase the accuracy of models while having a limited collection of the dataset. Data augmentation methods were applied to generate and increase the number of training samples. The implemented framework can be utilized for other use-cases that combine object detection and area segmentation from grayscale and RGB images, especially to shape computer-aided diagnosis (CADx) and computer-aided detection (CADe) systems in the healthcare industry to facilitate and assist doctors and medical care providers.
    Źródło:
    Bulletin of the Polish Academy of Sciences. Technical Sciences; 2021, 69, 3; art. no. e136750
    0239-7528
    Pojawia się w:
    Bulletin of the Polish Academy of Sciences. Technical Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Deep learning-based framework for tumour detection and semantic segmentation
    Autorzy:
    Kot, Estera
    Krawczyk, Zuzanna
    Siwek, Krzysztof
    Królicki, Leszek
    Czwarnowski, Piotr
    Powiązania:
    https://bibliotekanauki.pl/articles/2128156.pdf
    Data publikacji:
    2021
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    deep learning
    medical imaging
    tumour detection
    semantic segmentation
    image fusion
    technika deep learning
    głęboka nauka
    obrazowanie medyczne
    wykrywanie guza
    segmentacja semantyczna
    połączenie obrazu
    Opis:
    For brain tumour treatment plans, the diagnoses and predictions made by medical doctors and radiologists are dependent on medical imaging. Obtaining clinically meaningful information from various imaging modalities such as computerized tomography (CT), positron emission tomography (PET) and magnetic resonance (MR) scans are the core methods in software and advanced screening utilized by radiologists. In this paper, a universal and complex framework for two parts of the dose control process – tumours detection and tumours area segmentation from medical images is introduced. The framework formed the implementation of methods to detect glioma tumour from CT and PET scans. Two deep learning pre-trained models: VGG19 and VGG19-BN were investigated and utilized to fuse CT and PET examinations results. Mask R-CNN (region-based convolutional neural network) was used for tumour detection – output of the model is bounding box coordinates for each object in the image – tumour. U-Net was used to perform semantic segmentation – segment malignant cells and tumour area. Transfer learning technique was used to increase the accuracy of models while having a limited collection of the dataset. Data augmentation methods were applied to generate and increase the number of training samples. The implemented framework can be utilized for other use-cases that combine object detection and area segmentation from grayscale and RGB images, especially to shape computer-aided diagnosis (CADx) and computer-aided detection (CADe) systems in the healthcare industry to facilitate and assist doctors and medical care providers.
    Źródło:
    Bulletin of the Polish Academy of Sciences. Technical Sciences; 2021, 69, 3; e136750, 1--7
    0239-7528
    Pojawia się w:
    Bulletin of the Polish Academy of Sciences. Technical Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Zero-Suppression Trigger Mode for GEM Detector Measurement System
    Autorzy:
    Kolasinski, Piotr
    Pozniak, Krzysztof
    Wojenski, Andrzej
    Linczuk, Pawel
    Krawczyk, Rafal
    Gaska, Michal
    Zabolotny, Wojciech
    Kasprowicz, Grzegorz
    Chernyshova, Maryna
    Czarski, Tomasz
    Powiązania:
    https://bibliotekanauki.pl/articles/1844608.pdf
    Data publikacji:
    2021
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    FPGA
    GEM
    trigger
    sequencer
    DAQ
    Xilinx
    Opis:
    A novel approach to a trigger mode in the Gas Electron Multiplier (GEM) detector readout system is presented. The system is already installed at WEST tokamak. The article briefly describes the architecture of the GEM detector and the measurement system. Currently the system can work in two trigger modes: Global Trigger and Local Trigger. All trigger processing blocks are parts of the Charge Signal Sequencer module which is responsible for transferring data to the PC. Therefore, the article presents structure of the Sequencer with details about basic blocks, theirs functionality and output data configuration. The Sequencer with the trigger algorithms is implemented in an FPGA chip from Xilinx. Global Trigger, which is a default mode for the system, is not efficient and has limitations due to storing much data without any information. Local trigger which is under tests, removes data redundancy and is constructed to send only valid data, but the rest of the software, especially on the PC side, is still under development. Therefore authors propose the trigger mode which combines functionality of two existing modes. The proposed trigger, called Zero Suppression Trigger, is compatible with the existing interfaces of the PC software, but is also capable to verify and filter incoming signals and transfer only recognized events. The results of the implementation and simulation are presented.
    Źródło:
    International Journal of Electronics and Telecommunications; 2021, 67, 1; 103-108
    2300-1933
    Pojawia się w:
    International Journal of Electronics and Telecommunications
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Soft X-ray Diagnostic System Upgrades and Data Quality Monitoring Features for Tokamak Usage
    Autorzy:
    Wojenski, Andrzej
    Linczuk, Paweł
    Piotr, Kolasinski
    Chernyshova, Maryna
    Mazon, Didier
    Kasprowicz, Grzegorz
    Pozniak, Krzysztof T.
    Gaska, Michał
    Czarski, Tomasz
    Krawczyk, Rafał
    Powiązania:
    https://bibliotekanauki.pl/articles/1844595.pdf
    Data publikacji:
    2021
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    data quality monitoring
    FPGA
    Verilog/VHDL
    HDL
    GEM detector
    SXR plasma diagnostics
    modular measurement system
    data evaluation
    tokamak
    Opis:
    The validation of the measurements quality after on-site diagnostic system installation is necessary in order to provide reliable data and output results. This topic is often neglected or not discussed in detail regarding measurement systems. In the paper recently installed system for soft X-ray measurements is described in introduction. The system is based on multichannel GEM detector and the data is collected and sent in special format to PC unit for further postprocessing. The unique feature of the system is the ability to compute final data based on raw data only. The raw data is selected upon algorithms by FPGA units. The FPGAs are connected to the analog frontend of the system and able to register all of the signals and collect the useful data. The interface used for data streaming is PCIe Gen2 x4 for each FPGA, therefore high throughput of the system is ensured. The paper then discusses the properties of the installation environment of the system and basic functionality mode. New features are described, both in theoretical and practical approach. New modes correspond to the data quality monitoring features implemented for the system, that provide extra information to the postprocessing stage and final algorithms. In the article is described also additional mode to perform hardware simulation of signals in a tokamak-like environment using FPGAs. The summary describes the implemented features of the data quality monitoring features and additional modes of the system.
    Źródło:
    International Journal of Electronics and Telecommunications; 2021, 67, 1; 109-114
    2300-1933
    Pojawia się w:
    International Journal of Electronics and Telecommunications
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Measurement Capabilities Upgrade of GEM Soft X-ray Measurement System for Hot Plasma Diagnostics
    Autorzy:
    Linczuk, Pawel
    Wojenski, Andrzej
    Kolasinski, Piotr
    Krawczyk, Rafal
    Zabolotny, Wojciech
    Pozniak, Krzysztof
    Chernyshova, Maryna
    Czarski, Tomasz
    Gaska, Michal
    Kasprowicz, Grzegorz
    Malinowski, Karol
    Powiązania:
    https://bibliotekanauki.pl/articles/1844588.pdf
    Data publikacji:
    2021
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    measurement system
    GEM
    DAQ
    Opis:
    The paper presents improvements of the developed system for hot plasma radiation measurement in the soft Xray range based on a Gas Electron Multiplier (GEM) detector. Scope of work consists of a new solution for handling hardware time-synchronization with tokamak systems needed for better synchronization with other diagnostics and measurement quality. The paper describes the support of new modes of triggering on PC-side. There are communication and data path overview in the system. The new API is described, which provide separate channels for data and control and is more robust than the earlier solution. Work concentrates on stability and usability improvements of the implemented device providing better usage for end-user.
    Źródło:
    International Journal of Electronics and Telecommunications; 2021, 67, 1; 115-120
    2300-1933
    Pojawia się w:
    International Journal of Electronics and Telecommunications
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-8 z 8

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