Search results for: FRONTHAUL

• 5G/6G optical fronthaul modeling: cost and energy consumption assessment

  Publication

  • A. Fayad
  • T. Cinkler
  • J. Rak

  - Journal of Optical Communications and Networking - Year 2023

  In fifth generation (5G) and the future beyond 5G (6G) radio access networks (RANs), the cost of fronthaul deployment is a main challenge for mobile network operators. Depending on different constraints, there are various solutions to deploy an efficient fronthaul. Fiber-optic-based fronthaul offers long-term support with regard to a rapid increase in capacity demands. When fiber connections, either point-to-point (P2P) or point-to-multipoint...

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• Cost-Efficient Optical Fronthaul Architectures for 5G and Future 6G Networks

  Publication

  • A. Fayad
  • T. Cinkler
  • J. Rak
  • B. Sonkoly

  - Year 2022

  Fifth-generation and Beyond (5GB) wireless networks have introduced new centralized architectures such as cloud radio access network (CRAN), which necessitate extremely high-capacity low latency Fronthaul (FH). CRAN has many advantageous features in terms of cost reduction, performance enhancement, ease of deployment, and centralization of network management. Nevertheless, designing and deploying a cost-efficient FH is still a...

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• Planning a Cost-Effective Delay-Constrained Passive Optical Network for 5G Fronthaul

  Publication

  • A. Fayad
  • M. Jha
  • T. Cinkler
  • J. Rak

  - Year 2022

  With the rapid growth in the telecommunications industry moving towards 5G and beyond (5GB) and the emergence of data-hungry and time-sensitive applications, Mobile Network Operators (MNOs) are faced with a considerable challenge to keep up with these new demands. Cloud radio access network (CRAN) has emerged as a cost-effective architecture that improves 5GB performance. The fronthaul segment of the CRAN necessitates a high-capacity...

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• Design of Cost-Efficient Optical Fronthaul for 5G/6G Networks: An Optimization Perspective

  Publication

  • A. Fayad
  • T. Cinkler
  • J. Rak
  • M. Jha

  - SENSORS - Year 2022

  Currently, 5G and the forthcoming 6G mobile communication systems are the most promising cellular generations expected to beat the growing hunger for bandwidth and enable the fully connected world presented by the Internet of Everything (IoE). The cloud radio access network (CRAN) has been proposed as a promising architecture for meeting the needs and goals of 5G/6G (5G and beyond) networks. Nevertheless, the provisioning of cost-efficient...

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• Kinematic the flaying frontal rising kick

  Publication

  • J. Wasik
  • J. Wąsik

  - Journal of Physics: Conference Series - Year 2007

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• Facial features extraction for color, frontal images

  Publication

  • M. Papaj
  • A. Czyżewski

  - Year 2011

  The problem of facial characteristic features extraction is discussed. Several methods of features extraction for color en--face photographs are discussed. The methods are based mainly on the colors features related to the specific regions of the human face. The usefulness of presented methods was tested on a database of en--face photographs consisting of 100 photographs.

• 3-Methoxytyramine Is the Major Metabolite of Released Dopamine in the Rat Frontal Cortex: Reassessment of the Effects of Antipsychotics on the Dynamics of Dopamine Release and Metabolism in the Frontal Cortex, Nucleus Accumbens, and Striatum by a Simple T

  Publication

  • F. Karoum
  • S. Chrapusta
  • M. Egan
  • S. Chrapusta

  - JOURNAL OF NEUROCHEMISTRY - Year 2002

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• Utility of Frontal Assessment Battery in detection of neuropsychological dysfunction in Richardson variant of progressive supranuclear palsy

  Publication

  • E. Sitek
  • A. Konkel
  • M. Dąbrowska
  • J. Sławek

  - Neurologia i Neurochirurgia Polska - Year 2015

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• Numerical modelling of different airbag folding patterns and their influence on occupant responses in frontal vehicle impact

  Publication

  • Ł. Pachocki
  • H. Fang

  - INTERNATIONAL JOURNAL OF CRASHWORTHINESS - Year 2024

  This paper presented a procedure for airbag folding for the application in occupant safety studies and analysed the influence of different airbag folding patterns on the occupant severity in frontal impact. Airbags were folded in two patterns: zig-zag and top-roll, using two folding techniques: Initial Metric Method and Explicit Folding. The explicit folding was found to be more expensive in terms of preparation time. However,...

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• 3D Morphable Models Application for Expanding Face Database Limited to Single Frontal Face Per Person

  Publication

  • Ł. Kulasek
  • A. Czyżewski

  - Year 2010

  1. Zaprezentowany materiał dotyczył badań nad rozszerzeniem dysponowanej bazy wzorców wizerunków twarzy, o dodatkowe wzorce z wariacją w ustawieniu. Dodatkowe wzorce były usyskiwane poprzez przejście z wizerunku twarzy 2D na model 3D, zasymulowanie zadanego ustawienia i powrót do dziedziny 2D (poprzez rzutowanie 3D->2D). W fazie konstrukcji modelu 3D, z wizerunku 2D była ściągana zarówno tekstura twarzy jak i siatka punktów charakterystycznych....

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• Prenatal stress leads to changes in IGF-1 binding proteins network in the hippocampus and frontal cortex of adult male rat

  Publication

  • A. Basta-Kaim
  • E. Szczesny
  • K. Glombik
  • J. Slusarczyk
  • E. Trojan
  • K. Tomaszewski
  • B. Budziszewska
  • M. Kubera
  • W. Lason

  - NEUROSCIENCE - Year 2014

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• Mathematical Approach to Assess a Human Gait

  Publication

  • W. Wojnicz
  • B. Zagrodny
  • M. Ludwicki
  • J. Awrejcewicz

  - Year 2022

  A purpose of the paper was to create a mathematical approach to assess a human gait. The scope of the study was to model a normal gait in the sagittal plane and frontal plane of the body. Applying the Newton-Euler formulation, three multibody biomechanical models were derived to describe single support phase and double support phase of the gait. To model a gait in the sagittal plane the open-close sagittal 6DOF model and the open-close...

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• Visual Lip Contour Detection for the Purpose of Speech Recognition

  Publication

  • P. Dalka
  • P. Bratoszewski
  • A. Czyżewski

  - Year 2014

  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...

• Osteoma, NOS - Female, 74 - Tissue image [10040729541216161]

  Open Research Data

  open access

  • Gdański Uniwersytet Medyczny

  This is the histopathological image of ACCESSORY SINUSES tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.

• Melanoma, metastatic - Female, 80 - Tissue image [1300630017386341]

  Open Research Data

  open access

  • Gdański Uniwersytet Medyczny

  This is the histopathological image of BRAIN tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.

• Adenocarcinoma, metastatic, NOS - Male, 59 - Tissue image [130063001738331]

  Open Research Data

  open access

  • Gdański Uniwersytet Medyczny

  This is the histopathological image of BRAIN tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.

• Melanoma, metastatic - Female, 80 - Tissue image [1300630017385471]

  Open Research Data

  open access

  • Gdański Uniwersytet Medyczny

  This is the histopathological image of BRAIN tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.

• Adenocarcinoma, metastatic, NOS - Male, 59 - Tissue image [1300630017383511]

  Open Research Data

  open access

  • Gdański Uniwersytet Medyczny

  This is the histopathological image of BRAIN tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.

• Melanoma, metastatic - Female, 80 - Tissue image [1300630017381781]

  Open Research Data

  open access

  • Gdański Uniwersytet Medyczny

  This is the histopathological image of BRAIN tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.

• Adenocarcinoma, metastatic, NOS - Male, 59 - Tissue image [1300630017389151]

  Open Research Data

  open access

  • Gdański Uniwersytet Medyczny

  This is the histopathological image of BRAIN tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.

• Adenocarcinoma, metastatic, NOS - Male, 59 - Tissue image [1300630017386581]

  Open Research Data

  open access

  • Gdański Uniwersytet Medyczny

  This is the histopathological image of BRAIN tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.

• Melanoma, metastatic - Female, 80 - Tissue image [1300630017384561]

  Open Research Data

  open access

  • Gdański Uniwersytet Medyczny

  This is the histopathological image of BRAIN tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.

• Melanoma, metastatic - Female, 80 - Tissue image [1300630017386051]

  Open Research Data

  open access

  • Gdański Uniwersytet Medyczny

  This is the histopathological image of BRAIN tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.

• Melanoma, metastatic - Female, 80 - Tissue image [3300730069456481]

  Open Research Data

  open access

  • Gdański Uniwersytet Medyczny

  This is the histopathological image of BRAIN tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.

• Adenocarcinoma, metastatic, NOS - Male, 59 - Tissue image [1300630017388691]

  Open Research Data

  open access

  • Gdański Uniwersytet Medyczny

  This is the histopathological image of BRAIN tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.

• Adenocarcinoma, metastatic, NOS - Male, 59 - Tissue image [1300630017389441]

  Open Research Data

  open access

  • Gdański Uniwersytet Medyczny

  This is the histopathological image of BRAIN tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.

• Adenocarcinoma, metastatic, NOS - Unknown, 62 - Tissue image [3290730016626101]

  Open Research Data

  open access

  • Gdański Uniwersytet Medyczny

  This is the histopathological image of BRAIN tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.

• Adenocarcinoma, metastatic, NOS - Unknown, 62 - Tissue image [329073001662991]

  Open Research Data

  open access

  • Gdański Uniwersytet Medyczny

  This is the histopathological image of BRAIN tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.

• Adenocarcinoma, metastatic, NOS - Unknown, 62 - Tissue image [3290730016624381]

  Open Research Data

  open access

  • Gdański Uniwersytet Medyczny

  This is the histopathological image of BRAIN tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.

• Melanoma, metastatic - Female, 80 - Tissue image [1300630017384581]

  Open Research Data

  open access

  • Gdański Uniwersytet Medyczny

  This is the histopathological image of BRAIN tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.

• Adenocarcinoma, metastatic, NOS - Unknown, 62 - Tissue image [3290730016628091]

  Open Research Data

  open access

  • Gdański Uniwersytet Medyczny

  This is the histopathological image of BRAIN tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.

• Adenocarcinoma, metastatic, NOS - Unknown, 62 - Tissue image [3290730016629861]

  Open Research Data

  open access

  • Gdański Uniwersytet Medyczny

  This is the histopathological image of BRAIN tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.

• Adenocarcinoma, metastatic, NOS - Unknown, 62 - Tissue image [329073001662941]

  Open Research Data

  open access

  • Gdański Uniwersytet Medyczny

  This is the histopathological image of BRAIN tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.

• Influence of Additional Loads on Chosen Gait Parameters and Muscles Activity

  Publication

  • M. Ludwicki
  • B. Zagrodny
  • W. Wojnicz
  • J. Mrozowski
  • J. Awrejcewicz

  - Vibrations in Physical Systems - Year 2016

  This paper is devoted to human motion analysis and comparison of chosen kinematics parameters during normal gait with and without additional load in a form of backpack. A stability in both cases were compared in both frontal and sagittal planes, by applying a video tracking system. Experimental tests performed on treadmill, passive markers, placed on volunteers bare skin were used. Additionally, an infra-red camera was employed...

  Full text available to download

• Multibody models for gait analysis

  Publication

  • W. Wojnicz
  • B. Zagrodny
  • M. Ludwicki
  • J. Mrozowski
  • J. Awrejcewicz
  • E. Wittbrodt

  - Year 2019

  The aim of this study was to create multibody biomechanical models to analyze a normal gait of the human. Proposed models can be used to identify joint moments of the lower limbs during normal gait in the single and double support phases. Applying Newton-Euler formulation, following planar models were developed: 1) a mathematical 6DOF model describing a gait in the sagittal plane of the body for single support phase and double...

  Full text available to download

• Adenocarcinoma, metastatic, NOS - Unknown, 62 - Tissue image [3290730016625931]

  Open Research Data

  open access

  • Gdański Uniwersytet Medyczny

  This is the histopathological image of BRAIN tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.

• Sinonasal papilloma, inverted - Male, 42 - Tissue image [7070729594568841]

  Open Research Data

  open access

  • Gdański Uniwersytet Medyczny

  This is the histopathological image of ACCESSORY SINUSES tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.

• Adenocarcinoma, metastatic, NOS - Unknown, 62 - Tissue image [3290730016621621]

  Open Research Data

  open access

  • Gdański Uniwersytet Medyczny

  This is the histopathological image of BRAIN tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.

• Adenocarcinoma, metastatic, NOS - Unknown, 62 - Tissue image [3290730016628291]

  Open Research Data

  open access

  • Gdański Uniwersytet Medyczny

  This is the histopathological image of BRAIN tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.

• Sinonasal papilloma, inverted - Male, 42 - Tissue image [7070729594561391]

  Open Research Data

  open access

  • Gdański Uniwersytet Medyczny

  This is the histopathological image of ACCESSORY SINUSES tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.

• B-cell lymphoma, NOS - Unknown, 79 - Tissue image [3290730016574411]

  Open Research Data

  open access

  • Gdański Uniwersytet Medyczny

  This is the histopathological image of ACCESSORY SINUSES tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.

• B-cell lymphoma, NOS - Unknown, 79 - Tissue image [3290730016628471]

  Open Research Data

  open access

  • Gdański Uniwersytet Medyczny

  This is the histopathological image of ACCESSORY SINUSES tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.

• B-cell lymphoma, NOS - Unknown, 79 - Tissue image [3290730016627591]

  Open Research Data

  open access

  • Gdański Uniwersytet Medyczny

  This is the histopathological image of ACCESSORY SINUSES tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.

• B-cell lymphoma, NOS - Unknown, 79 - Tissue image [3290730016622891]

  Open Research Data

  open access

  • Gdański Uniwersytet Medyczny

  This is the histopathological image of ACCESSORY SINUSES tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.

• B-cell lymphoma, NOS - Unknown, 79 - Tissue image [329073001662791]

  Open Research Data

  open access

  • Gdański Uniwersytet Medyczny

  This is the histopathological image of ACCESSORY SINUSES tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.

• B-cell lymphoma, NOS - Unknown, 79 - Tissue image [3290730016626091]

  Open Research Data

  open access

  • Gdański Uniwersytet Medyczny

  This is the histopathological image of ACCESSORY SINUSES tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.

• B-cell lymphoma, NOS - Unknown, 79 - Tissue image [3290730016623281]

  Open Research Data

  open access

  • Gdański Uniwersytet Medyczny

  This is the histopathological image of ACCESSORY SINUSES tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.

• B-cell lymphoma, NOS - Unknown, 79 - Tissue image [3290730016625591]

  Open Research Data

  open access

  • Gdański Uniwersytet Medyczny

  This is the histopathological image of ACCESSORY SINUSES tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.

• B-cell lymphoma, NOS - Unknown, 79 - Tissue image [3290730016622941]

  Open Research Data

  open access

  • Gdański Uniwersytet Medyczny

  This is the histopathological image of ACCESSORY SINUSES tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.

• B-cell lymphoma, NOS - Unknown, 79 - Tissue image [3290730016627901]

  Open Research Data

  open access

  • Gdański Uniwersytet Medyczny

  This is the histopathological image of ACCESSORY SINUSES tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.