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Search results for: DOMAIN CONFINEMENT , INVERSE MODELS , MICROWAVE DESIGN , MINIATURIZED COMPONENTS , PERFORMANCE-DRIVEN MODELING
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Video DATA - Traffic generation modeling for discount shops - Chrobrego Street
Open Research DataThe data includes video traffic data (vehicles, pedestrians, cyclists) registered at 75 Chrobrego street in Gdansk. The data covers the day 01.10.2020 at 6:00-22:00. The video camera was installed at the parking area belonging to the discount store Lidl. The data obtained was used in analysis, providing information about the modal split, the number...
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Video DATA - Traffic generation modeling for discount shops - Czerska Street
Open Research DataThe data includes video traffic data (vehicles, pedestrians, cyclists) registered at 71 Czerska street in Gdansk. The data covers the day 01.10.2020 at 6:00-22:00. The video camera was installed at the parking area belonging to the discount store Lidl. The data obtained was used in analysis, providing information about the modal split, the number of...
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Video DATA - Traffic generation modeling for discount shops - Gdanska Street
Open Research DataThe data includes video traffic data (vehicles, pedestrians, cyclists) registered at 21C Gdanska street in Gdansk. The data covers the day 01.10.2020 at 6:00-22:00. The video camera was installed at the parking area belonging to the discount store Lidl. The data obtained was used in analysis, providing information about the modal split, the number of...
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Video DATA - Traffic generation modeling for discount shops - Dragana Street
Open Research DataThe data includes video traffic data (vehicles, pedestrians, cyclists) registered at 27 Dragana street in Gdansk. The data covers the day 01.10.2020 at 6:00-22:00. The video camera was installed at the parking area belonging to the discount store Lidl. The data obtained was used in analysis, providing information about the modal split, the number of...
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A selection of the optimal eluent components for separation of carnivorous plants metabolites by planar chromatography chromatography
PublicationAbstract: The development of the new procedures of the separation components with the complicated chemical structure from natural complex matrix by column chromatography is very difficult and in many cases expensive. Therefore to pre-select the conditions of the separation process the use of thin layer chromatography (TLC) is proffered. The possibility of proceeding the chromatographic process for several mixtures on single plate,...
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Chemical and biological characterization of Ocimum basilicum L. phenolic extract and essential oil derived through ultrasound and microwave-assisted extraction techniques
PublicationPlant-derived bioactive molecules are increasingly utilized in food processing as natural additives, driven by a growing interest in healthier lifestyles. This trend has spurred industries to reformulate products to meet the demands of health-conscious consumers. This study investigates the phenolic extract and essential oil of O. basilicum L. obtained via ultrasound-assisted extraction and microwave-assisted extraction, respectively. Characterization...
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ASIC Design Example of Complex SoC with FPGA Prototyping
PublicationThe paper presents an example of the System on a Chip design, where the FPGA prototyping has been used. Two FPGA prototypes have been realized. The first FPGA prototype uses AVNET board containing Xilinx Virtex4 device accompanied by custom board with required devices. The second FPGA prototype has been built using the custom PCB with Xilinx Virtex-4 XC4VLX60 FPGA accompanied by all needed external components. The final system...
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ASIC Design Example of Complex SoC with FPGA Prototyping
PublicationThe paper presents an example of the System on a Chip design, where the FPGA prototyping has been used. Two FPGA prototypes have been realized. The first FPGA prototype uses AVNET board containing Xilinx Virtex4 device accompanied by custom board with required devices. The second FPGA prototype has been built using the custom PCB with Xilinx Virtex-4 XC4VLX60 FPGA accompanied by all needed external components. The final system...
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Parametric design in architectural education
PublicationEducators dealing with architectural education must anticipate the changes in the discipline and act to prepare students to face the challenges of the future. Therefore, it is necessary to provide them with state-of-the-art knowledge and relevant skills. To achieve that for new design techniques requires education. One new technique is parametric design, which has become one of the commonly used tools in architectural design practice....
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Low-Cost EM-Simulation-Driven Multi-Objective Optimization of Antennas
PublicationA surrogate-based method for efficient multi-objective antenna optimization is presented. Our technique exploits response surface approximation (RSA) model constructed from sampled low-fidelity antenna model (here, obtained through coarse-discretization EM simulation). The RSA model enables fast determination of the best available trade-offs between conflicting design goals. A low-cost RSA model construction is possible through...
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Sequences of large subunit ribosomal RNA gene, partial sequence encoding D1/D2 domain of psychrotolerant pigment-producing yeast-like fungi
Open Research DataDNA fragments encoding D1/D2 domain of large subunit ribosomal RNA of psychrotolerant pigment-producing yeast-like fungi named Red, Pink and Black were PCR amplified using NL1 5’ GCATATCAATAAGCGGAGGAAAAG 3’ and NL4 5’ GGTCCGTGTTTCAAGACGG 3’ primers and sequenced by Sanger method using the same primers.
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FEM approach to modeling of an irregular trabecular structure
PublicationThe aim of the study is elaboration of a method for creating irregular scaffolds that can be used to model the behaviour of trabecular bone placed in the proximal epiphysis of the femur. The scope of the study encompasses creating six numerical models of irregular scaffolds (two solid irregular scaffolds, two shell irregular scaffolds and two shell irregular scaffolds with fortification) and performing numerical analysis of the...
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Design of Resilient Vehicle-to-Infrastructure Systems
PublicationVehicular ad hoc networks (VANETs) have recently gained noticeable attention due to advantages in improving road traffic safety, shaping the road traffic and providing infotainment opportunities to travellers. However, transmission characteristics following from the IEEE 802.11p standard and the high mobility of VANET nodes remarkably reduce the lifetime, reach and capacity of wireless links, and often lead to simultaneous disruptions...
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Design of Microstrip UWB Balun Using Quasi-TEM Approach Aided by the Artificial Neural Network
PublicationThe design procedure for UWB balun realized in the microstrip technology is proposed in the paper. The procedure applies Artificial Neural Network which corrects the dimensions of the approximate design found by appropriate scaling of the dimensions of the prototype. The scale coefficients for longitudinal and transverse dimensions of microstrip lines are determined from electromagnetic modeling based on transmission line equations....
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Improving Thermal Insulation Properties for Prefabricated Wall Components Made of Lightweight Aggregate Concrete with Open Structure
PublicationPorous concrete is commonly used in civil engineering due to its good thermal insulation properties in comparison with normal concrete and high compression strength in comparison with other building materials. An extremely porous concrete, called ‘lightweight aggregate concrete with open structure’ (LAC), is used in some German plants to produce prefabricated wall components. They are used mainly in hall buildings, e.g. supermarkets....
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A new anisotropic bending model for nonlinear shells: Comparison with existing models and isogeometric finite element implementation
PublicationA new nonlinear hyperelastic bending model for shells formulated directly in surface form is presented, and compared to four existing prominent bending models. Through an essential set of elementary nonlinear bending test cases, the membrane and bending stresses of each model are examined analytically. Only the proposed bending model passes all the test cases, while the other bending models either fail or only pass the test cases for...
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Concrete mix design using machine learning
PublicationDesigning a concrete mix is a process of synthesizing many components, it is not a simple process and requires extensive technical knowledge. The design process itself focuses on obtaining the required strength of concrete. Very often designing a concrete mix takes into account the need to maintain the proper water-demand and frost-resistance features. The parameters that influence the concrete class most significantly are the...
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Interpretable deep learning approach for classification of breast cancer - a comparative analysis of multiple instance learning models
PublicationBreast cancer is the most frequent female cancer. Its early diagnosis increases the chances of a complete cure for the patient. Suitably designed deep learning algorithms can be an excellent tool for quick screening analysis and support radiologists and oncologists in diagnosing breast cancer.The design of a deep learning-based system for automated breast cancer diagnosis is not easy due to the lack of annotated data, especially...
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Application of different building representation techniques in HEC-RAS 2-D for urban flood modeling using the Toce River experimental case
PublicationThis paper presents the impact of the choice of building representation techniques and hydrodynamic models on urban flood simulations using HEC-RAS 2-D for the Toce River physical model. To this end, eight numerical models based on previous laboratory experiments were prepared to simulate unsteady urban flooding on each side of building units. Two simplified building layouts (aligned and staggered) were examined, where models were...
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Towards New Mappings between Emotion Representation Models
PublicationThere are several models for representing emotions in affect-aware applications, and available emotion recognition solutions provide results using diverse emotion models. As multimodal fusion is beneficial in terms of both accuracy and reliability of emotion recognition, one of the challenges is mapping between the models of affect representation. This paper addresses this issue by: proposing a procedure to elaborate new mappings,...
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Machine learning-based seismic response and performance assessment of reinforced concrete buildings
PublicationComplexity and unpredictability nature of earthquakes makes them unique external loads that there is no unique formula used for the prediction of seismic responses. Hence, this research aims to implement the most well-known Machine Learning (ML) methods in Python software to propose a prediction model for seismic response and performance assessment of Reinforced Concrete Moment-Resisting Frames (RC MRFs). To prepare 92,400 data...
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Methodology for hospital design in architectural education
PublicationThe architecture of a hospital should be a response to strong user requirements. Recommendations on how to shape the environment of such facilities are highly complex, integrating guidelines from many fields of science. If contradictions between them exist, the designer is required to set priorities for spatial activities. This issue is particularly important during architectural education. The learning process should include projects...
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Uniform Model Interface for Assurance Case Integration with System Models
PublicationAssurance cases are developed and maintained in parallel with corresponding system models and therefore need to reference each other. Managing the correctness and consistency of interrelated safety argument and system models is essential for system dependability and is a nontrivial task. The model interface presented in this paper enables a uniform process of establishing and managing assurance case references to various types...
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The shape of an ROC curve in the evaluation of credit scoring models
PublicationThe AUC, i.e. the area under the receiver operating characteristic (ROC) curve, or its scaled version, the Gini coefficient, are the standard measures of the discriminatory power of credit scoring. Using binormal ROC curve models, we show how the shape of the curves affects the economic benefits of using scoring models with the same AUC. Based on the results, we propose that the shape parameter of the fitted ROC curve is reported...
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A family of new generation miniaturized impedance analyzers for technical object diagnostics
PublicationThe paper presents the family of three analyzers allowing to measure impedance in range of 10 ohm<|Zx|<10 Gohm in a wide frequency range from 10 mHz up to 100 kHz. The most important features of the analyzers family are: miniaturization, low power consumption, low production cost, telemetric controlling and the use of impedance measurement method based on digital signal processing DSP. The miniaturization and other above mentioned...
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Concrete-domain reasoning techniques in knowledge cartography
PublicationWiele zjawisk w świecie rzeczywistym opisujemy korzystając z liczb i symboli. W ramach naszej pracy jako punkt wyjścia traktujemy podejście kartograficzne opracowane na potrzeby wnioskowania z ontologii opartych na logice opisowej i pozwalające na efektywne przetwarzanie baz wiedzy zwierających dużą liczbę osobników. Niniejszy artykuł przedstawia rozszerzenie podejścia kartograficznego pozwalające na wnioskowanie z wartości symbolicznych,...
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Enterprise Information Management in Cultural Heritage Domain
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A distributed scheme for inter-domain routing optimization
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Using Decisional DNA to Enhance Industrial and Manufacturing Design: Conceptual Approach
PublicationDuring recent years, manufacturing organizations are facing market changes such as the need for short product life cycles, technological advancement, intense pressure from competitors and the continuous customers’ expectation for high quality products at lower costs. In this scenario, knowledge and its associated engineering/management of every stage involved in the industrial design has become increasingly important for manufacturing...
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Aleksandra Parteka dr hab. inż.
PeopleAbout me: I am an associate professor and head of doctoral studies at the Faculty of Management and Economics, Gdansk University of Technology (GdanskTech, Poland). I got my MSc degree in Economics from Gdansk University of Technology (2003) and Universita’ Politecnica delle Marche (2005), as well as MA degree in Contemporary European Studies from Sussex University (2006, with distinction). I received my PhD in Economics...
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Investigation on Tidal Components in GPS Coordinates
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Mineral components in food - analytical implications
PublicationRozdział w całości poświęcony jest analizie próbek żywności pod kątem oznaczania w nich mikro i makroelementów. Przedstawione zostały metody przygotowania próbek oraz techniki wykorzystywane na etapie oznaczeń końcowych.
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Chapter 1. Food components and quality
PublicationGłówne składniki żywności to woda, białka, sacharydy, lipidy i związki mineralne. Składniki występujące na ogół w mniejszych ilościach to niebiałkowe związki azotowe, witaminy, barwniki, związki zapachowe i dodatki funkcjonalne. Jakościowy i ilościowy skład żywności zależy od gatunku i odmiany surowców oraz warunków ich uprawy, żywienia, zbioru, przechowywania i przetwarzania. Składniki żywności i ich przemiany wpływają na zapach,...
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Food components and their role in food quality
PublicationBiałka, lipidy, sacharydy, składniki mineralne, woda i inne składniki wpły-wają na właściwości sensoryczne, trwałość, wartość odżywczą i zdrowotnośćżywności. W czasie przechowywania żywności i wskutek obróbki składniki ule-gają korzystnym i niepożądanym zmianom pod wpływem działania enzymów i czyn-ników środowiska.
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Toxic components of food packaging materials
PublicationW rozdziale scharakteryzowano materiały wykorzystywane do produkcji opakowań do żywności i stosowane składniki dodatkowe, polepszające ich użytkowe właściwości oraz przeanalizowano możliwość migracji niektórych substancji toksycznych z tych opakowań do produktów żywnościowych.
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LSA Is not Dead: Improving Results of Domain-Specific Information Retrieval System Using Stack Overflow Questions Tags
PublicationThe paper presents the approach to using tags from Stack Overflow questions as a data source in the process of building domain-specific unsupervised term embeddings. Using a huge dataset of Stack Overflow posts, our solution employs the LSA algorithm to learn latent representations of information technology terms. The paper also presents the Teamy.ai system, currently developed by Scalac company, which serves as a platform that...
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Text & Performance Quarterly
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Performance Improvement Quarterly
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Team Performance Management
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Performance Apparel Markets
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Performance Enhancement and Health
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Performance Measurement and Metrics
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Performance Evaluation Review
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Studies in Theatre and Performance
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Ecumenica-Performance and Religion
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Knowledge and Performance Management
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Cost-efficient design optimization of compact patch antennas with improved bandwidth
PublicationIn this letter, a surrogate-assisted optimization procedure for fast design of compact patch antennas with enhanced bandwidth is presented. The procedure aims at addressing a fundamental challenge of the design of antenna structures with complex topologies, which is simultaneous adjustment of numerous geometry parameters. The latter is necessary in order to find a truly optimum design and cannot be executed-at the level of high-fidelity...
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Modeling pragmatics for visual modeling language evaluation
PublicationPodczas oceny użyteczności języków modelowania wizualnego istnieje potrzeba uwzględnienia ich pragmatyki. Języki modelowania wizualnego mogą być stosowane w różnym kontekście, co powoduje różnice w wymaganiach, które są im stawiane. Jawny opis kontekstu użycia ułatwia precyzyjną ocenę. Pragmatyka składa się ze zbioru profili, które opisują konkretne konteksty użycia. W referacie podjęto próbę zastosowania modeli zadań do opisu...
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Destabilisation of the structure of transthyretin is driven by Ca2+
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A comprehensive approach to SBR modelling for monitoring and control system design
PublicationThe aim of this research is to provide a comprehensive description of the Sequencing Batch Reactor (SBR) modelling for monitoring, control, and plant operational optimisation validation. The paper provides a detailed modelling of the SBR, its components and constituent processes. For this purpose, the mass balance principle and continuity equations were provided with a reactive term implemented using Activated Sludge Model (ASM)....