Wyniki wyszukiwania dla: SONAR DATA PROCESSING

• Clustering Bathymetric Data for Electronic Navigational Charts

  Publikacja

  • M. Wlodarczyk–Sielicka
  • A. Stateczny

  - JOURNAL OF NAVIGATION - Rok 2016

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• New distributional data on Bryophytes of Poland, 1

  Publikacja

  • P. Górski
  • P. Pawlikowski
  • M. Staniaszek-Kik
  • S. Rosadziński
  • A. Stebel
  • A. Rusińska
  • R. Zubel
  • M. Wilhelm
  • E. Fudali
  • B. Cykowska-Marzencka
  • L. Przewoźnik

  - Steciana - Rok 2015

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• Investigation for Genetic Signature of Radiosensitivity – Data Analysis

  Publikacja

  • J. Zyla
  • P. Finnon
  • R. Bulman
  • S. Bouffler
  • C. Badie
  • J. Polanska

  - Rok 2014

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• Real terrain visualisation on the basis of GIS Data.

  Publikacja

  • J. Lebiedź
  • K. Mieloszyk

  - Rok 2005

  Artykuł prezentuje projekt realistycznej wizualizacji terenu rzeczywistego na podstawie danych pochodzšcych z Geograficznych Systemów Informacyjnych GIS (ang. Geographical Information Systems). Ze względu na złożoność i niedokładność przechowywanych danych geograficznych od systemu takiego należy oczekiwać pracy w dwóch etapach: off-line'owym i on-line'owym. Etap off-line'owy powinien dokonywać konwersji danych z formatu GIS na...

• An EIT reconstruction algorithm based on noisy data.

  Publikacja

  • A. Janczulewicz
  • J. Wtorek

  - Zeszyty Naukowe Wydziału ETI Politechniki Gdańskiej. Technologie Informacyjne - Rok 2003

  Praca przedstawia algorytm rekonstrukcji oparty o zmodyfikowany algorytm Gaussa - Newtona. Algorytm uwzględnia istnienie elektrod pomiarowych w tomografii elektroimpedancyjnej. Elektrody charakteryzują się rozmiarem i impedancją. Dodatkowo algorytm zakłada istnienie szumu w sygnale mierzonym. Zostało pokazane, że dobór optymalnego wzorca pobudzenia znacząco poprawia odporność algorytmu rekonstrukcyjnego na szum w danych. Dwie...

• Analysis of Rainfall Data of Gdansk Meteorological Station

  Publikacja

  • E. Wołoszyn

  - Rok 2009

  W pracy przedstawiono wyniki analizy danych opadowych z okresu 51 lat (1951-2008) ze stacji meteorologicznej w Gdańsku. Analizę przeprowadzono zarówno dla sum rocznych opadów jak i sezonowych i miesięcznych. Dokonano również analizy maksymalnych sum dobowych opadów dla każdego miesiąca, badając ich zmienność w wieloleciu.

• Application of decisional DNA in web data mining

  Publikacja

  • P. Wang
  • C. Sanin
  • E. Szczerbicki

  - LECTURE NOTES IN COMPUTER SCIENCE - Rok 2011

  Przedstawiono pilotową koncepcję i aplikację integracji reprezentacji wiedzy opartej na decyzyjnym DNA oraz systemów pozyskiwania wiedzy i danych z Internetu. Wskazano na zalety proponowanej integracji oraz przedstawiono kierunki przyszłych badań w tym zakresie.

• Facial emotion recognition using depth data

  Publikacja

  • M. Szwoch
  • P. Pieniazek

  - Rok 2015

  In this paper an original approach is presented for facial expression and emotion recognition based only on depth channel from Microsoft Kinect sensor. The emotional user model contains nine emotions including the neutral one. The proposed recognition algorithm uses local movements detection within the face area in order to recognize actual facial expression. This approach has been validated on Facial Expressions and Emotions Database...

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• Cooperative Data Transmission in Wireless Vehicular Networks

  Publikacja

  • A. Marczak

  - Rok 2017

  The paper presents issues related to the cooperative transmission in wireless vehicular networks. Cooperative transmission involves the use of mobile terminals as relay stations to improve the transmission quality, improve network performance and reduce energy consumption. The paper presents the methods used to implement cooperative transmission and the types of cooperative networks.

• Driving Performance Indicators of Electric Bus Driving Technique: Naturalistic Driving Data Multicriterial Analysis

  Publikacja

  • M. Bartłomiejczyk

  - IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS - Rok 2018

  The issue of electric energy saving in public transport is becoming the key area of interest. By improving of driving techniques and the implementation of eco-driving, it is possible to save electric energy. Systems that help to decrease energy consumption and to reduce fuel emissions are becoming popular in vehicles powered by diesel engines. However, these methods have not yet gained popularity in electric vehicles. Therefore,...

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• Efficiency Evaluation of High Performance Computing Systems Using Data Envelopment Analysis

  Publikacja

  • P. Kaczmarek

  - Rok 2014

  The paper presents an evaluation method of high performance computing (HPC) systems using multicriteria efficiency analysis. The Data Envelopment Analysis approach was applied and adapted to the specifics of HPC, which enabled us to compare relative efficiency of systems considering simultaneously multiple parameters. The analysis is based on the TOP500 list of world largest supercomputers and their parameters such as: the number...

• Artificial intelligence and productivity: global evidence from AI patent and bibliometric data

  Publikacja

  • A. Parteka
  • A. Kordalska

  - TECHNOVATION - Rok 2023

  In this paper we analyse the relationship between technological innovation in the artificial intelligence (AI) domain and macroeconomic productivity. We embed recently released data on patents and publications related to AI in an augmented model of productivity growth, which we estimate for the OECD countries and compare to an extended sample including non-OECD countries. Our estimates provide evidence in favour of the modern productivity...

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• Preeclampsia Risk Prediction Using Machine Learning Methods Trained on Synthetic Data

  Publikacja

  • M. Mazur-Milecka
  • N. Kowalczyk
  • K. Jaguszewska
  • D. Zamkowska
  • D. Wójcik
  • K. Preis
  • H. Skov
  • S. R. Wagner
  • P. Sandager
  • M. Sobotka
  • J. Rumiński

  - Rok 2024

  This paper describes a research study that investigates the use of machine learning algorithms on synthetic data to classify the risk of developing preeclampsia by pregnant women. Synthetic datasets were generated based on parameter distributions from three real patient studies. Four models were compared: XGBoost, Support Vector Machine (SVM), Random Forest, and Explainable Boosting Machines (EBM). The study found that the XGBoost...

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• MAPSERVER – INFORMATION FLOW MANAGEMENT SOFTWARE FOR THE BORDER GUARD DISTRIBUTED DATA EXCHANGE SYSTEM

  Publikacja

  • M. Blok
  • S. Kaczmarek
  • M. Młynarczuk
  • M. Narloch

  - Polish Maritime Research - Rok 2016

  In this paper the architecture of the software designed for management of position and identification data of floating and flying objects in Maritime areas controlled by Polish Border Guard is presented. The software was designed for managing information stored in a distributed system with two variants of the software, one for a mobile device installed on a vessel, an airplane or a car and second for a central server. The details...

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• A Data Driven Model for Predicting RNA-Protein Interactions based on Gradient Boosting Machine

  Publikacja

  • D. S. Jain
  • S. R. Gupte
  • R. Aduri

  - Scientific Reports - Rok 2018

  RNA protein interactions (RPI) play a pivotal role in the regulation of various biological processes. Experimental validation of RPI has been time-consuming, paving the way for computational prediction methods. The major limiting factor of these methods has been the accuracy and confidence of the predictions, and our in-house experiments show that they fail to accurately predict RPI involving short RNA sequences such as TERRA RNA....

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• Influence of Giant Reed (Arundo Donax L.) Culms Processing Procedure on Physicochemical, Rheological, and Thermomechanical Properties of Polyethylene Composites

  Publikacja

  • L. Suarez
  • P. Hanna
  • Z. Ortega
  • M. Barczewski
  • P. Kosmela
  • B. Millar
  • E. Cunningham

  - Journal of Natural Fibers - Rok 2024

  Giant reed (Arundo donax L.) is a plant species with a high growth rate and low requirements, which makes it particularly interesting for the production of different bioproducts, including natural fibers. This work assesses the use of fibers obtained from reed culms as reinforcement for a high-density polyethylene (HDPE) matrix. Two different lignocellulosic materials were used: i) shredded culms and ii) fibers obtained by culms...

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• The Processing Procedure for the Interpretation of Microseismic Signal Acquired from a Surface Array During Hydraulic Fracturing in Pomerania Region in Poland

  Publikacja

  • M. Antoszkiewicz
  • M. Kmieć
  • P. Szewczuk
  • M. Szkodo
  • R. Jankowski

  - Rok 2017

  Hydraulic fracturing is a procedure of injecting high pressure fluid into the wellbore in order to break shell rock and facilitate gas flow. It is a very costly procedure and, if not conducted properly, it may lead to environmental pollution. To avoid costs associated with pumping fluid outside the perspective (gas rich) zone and improve one’s knowledge about the reservoir rock, microseismic monitoring can be applied. The method...

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• Qualitative Data Analysis Methods -Summer 22/23

  Kursy Online

  • M. McPhillips

• Data Warehouses - Part-time studies - 2022/2023

  Kursy Online

  • G. Gołaszewski
  • T. Zawadzka

  The curse is led for part-time studies, on the first semester of postgraduate studies.

• WETI (Data Engineering) - Mathematics 2021/22 (M.Musielak)

  Kursy Online

  • M. M. Musielak

• WETI (Data Engineering) - Mathematics 2022/23 (M.Musielak)

  Kursy Online

  • M. M. Musielak

• WETI (Data Engineering) - Mathematics 2019/20 (M.Musielak)

  Kursy Online

  • M. M. Musielak

• Data Warehouses - Part-time studies - 2023/2024

  Kursy Online

  • G. Gołaszewski
  • T. Zawadzka

  The curse is led for part-time studies, on the first semester of postgraduate studies.

• Analiza danych typu Big Data 2023/24

  Kursy Online

  • P. Weichbroth
  • W. Waloszek

• Big Data from Sensor Network via Internet of Things to Edge Deep Learning for Smart City

  Publikacja

  • J. Balicki
  • H. Balicka
  • P. Dryja

  - Rok 2021

  Data from a physical world is sampled by sensor networks, and then streams of Big Data are sent to cloud hosts to support decision making by deep learning software. In a smart city, some tasks may be assigned to smart devices of the Internet of Things for performing edge computing. Besides, a part of workload of calculations can be transferred to the cloud hosts. This paper proposes benchmarks for division tasks between an edge...

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• Novel Adaptive Method for Data Streams Allocation Based on the Estimate of Radio Channel Parameters in Heterogeneous WBAN Network

  Publikacja

  • K. Cwalina
  • S. J. Ambroziak
  • J. Stefański
  • J. Sadowski

  - Rok 2017

  The new adaptive method for data streams allocation in heterogeneous Wireless Body Area Networks and meas-urement equipment is presented. The results obtained using the developed method compared with the selected algorithms likely to be used in those networks. The pro-posed adaptive data streams allocation method based on radio channel parameters makes it even twice as efficient to use in terms of resources usage in a WBAN heterogeneous...

• Artificial intelligence and productivity: global evidence from AI patent and bibliometric data .

  Publikacja

  • A. Parteka
  • A. Kordalska

  - TECHNOVATION - Rok 2023

  In this paper we analyse the relationship between technological innovation in the artificial intelligence (AI) domain and macroeconomic productivity. We embed recently released data on patents and publications related to AI in an augmented model of productivity growth, which we estimate for the OECD countries and compare to an extended sample including non-OECD countries. Our estimates provide evidence in favour of the modern...

  Pełny tekst do pobrania w portalu

• Weather Routing System Architecture Using Onboard Data Collection and Route Optimisation

  Publikacja

  • J. Szłapczyńska
  • R. Vettor
  • R. Szłapczyński
  • M. Łącki
  • M. Życzkowski
  • M. A. Hinostroza
  • F. P. Santos
  • W. Tycholiz
  • C. G. Soares

  - Polish Maritime Research - Rok 2022

  This paper describes the architecture of a weather routing system consisting of two key elements: onboard monitoring and route optimiser sub-systems. The former is responsible for collecting various onboard measurements, such as current ship position or ship motion variables. These data, when gathered and processed, are then used for fine-tuning a ship model. The model, together with weather forecasts, is utilised by a multi-objective...

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• Implementing fermentation technology for comprehensive valorisation of seafood processing by-products: A critical review on recovering valuable nutrients and enhancing utilisation

  Publikacja

  • S. A. Siddiqui
  • D. Lakshmikanth
  • C. Pradhan
  • Z. Farajinejad
  • R. Castro Munoz
  • A. Sasidharan

  - CRITICAL REVIEWS IN FOOD SCIENCE AND NUTRITION - Rok 2024

  Fermentation technology is a biorefining tool that has been used in various industrial processes to recover valuable nutrients from different side streams. One promising application of this technique is in the reclamation of nutritional components from seafood side streams. Seafood processing generates significant amounts of waste, including heads, shells, and other side streams. These side streams contain high quantities of valued...

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• Wave Method for Structural Health Monitoring: Testing Using Full-Scale Shake Table Experiment Data

  Publikacja

  • M. Ebrahimian
  • M. Todorovska
  • T. Falborski

  - JOURNAL OF STRUCTURAL ENGINEERING-ASCE - Rok 2017

  An algorithm of the wave method for structural health monitoring (SHM) is tested and calibrated using shake table experiment data of a full-scale, seven-story, reinforced-concrete building slice. The method is based on monitoring changes in the velocity of waves propagating vertically through the structure, identified by least-squares (LSQ) fit of beam models. The experiment was conducted by a team from the University of California,...

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• Whither the need and motivation for open government data (OGD) promotional strategies?

  Publikacja

  • C. H. Alexopoulos
  • S. Saxena
  • M. Janssen
  • N. Rizun

  - Digital Policy Regulation and Governance - Rok 2023

  Purpose It has been underscored in the extant literature that open government data (OGD) has not percolated across the length and breadth of any country, let alone the awareness of the OGD among the stakeholders themselves. In this vein, this study aims to underline the reasons as to why OGD promotion merits consideration apart from underlining the manner in which OGD promotion may be done. Design/methodology/approach Based on...

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• Geoscientific Instrumentation Methods and Data Systems

  Czasopisma

  ISSN: 2193-0856 , eISSN: 2193-0864

• ACM Journal of Data and Information Quality

  Czasopisma

  ISSN: 1936-1955

• Journal of Data Mining and Knowledge Discovery

  Czasopisma

  ISSN: 2229-6662

• Advances in Data Science and Adaptive Analysis

  Czasopisma

  ISSN: 2424-922X , eISSN: 2424-9238

• DATA BASE FOR ADVANCES IN INFORMATION SYSTEMS

  Czasopisma

  ISSN: 0095-0033

• International Journal of Image and Data Fusion

  Czasopisma

  ISSN: 1947-9832 , eISSN: 1947-9824

• International Journal of Data Warehousing and Mining

  Czasopisma

  ISSN: 1548-3924 , eISSN: 1548-3932

• IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

  Czasopisma

  ISSN: 1041-4347 , eISSN: 1558-2191

• International Journal of Data Mining and Bioinformatics

  Czasopisma

  ISSN: 1748-5673 , eISSN: 1748-5681

• Japanese journal of statistics and data science

  Czasopisma

  ISSN: 2520-8764

• International Journal of Data and Network Science

  Czasopisma

  ISSN: 2561-8148

• Journal of Statistics and Data Science Education

  Czasopisma

  eISSN: 2693-9169

• European Data Protection Law Review

  Czasopisma

  ISSN: 2364-2831 , eISSN: 2364-284X

• Annual Review of Biomedical Data Science

  Czasopisma

  ISSN: 2574-3414

• SIAM Journal on Mathematics of Data Science

  Czasopisma

  eISSN: 2577-0187

• International Journal of Data Science and Analytics

  Czasopisma

  ISSN: 2364-415X , eISSN: 2364-4168

• JOURNAL OF PHYSICAL AND CHEMICAL REFERENCE DATA

  Czasopisma

  ISSN: 0047-2689 , eISSN: 1529-7845

• International Journal of Population Data Science

  Czasopisma

  eISSN: 2399-4908

• U.S. Geological Survey Data Series

  Czasopisma

  ISSN: 2327-638X