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Wyniki wyszukiwania dla: neural architecture search
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The experience of movement in orbital space architecture: A narrative of weightlessness
PublikacjaBased upon a combination of architectural theories, the knowledge of space environment, and psychology of isolated and confined environments, this qualitative research aims to study orbital space settlement in a way to get the built space congenial to the human experience of movement. In this sense, sensors, self-propulsion or mechanical actuators, the inhabitant’s mental and visual capacity for movement, as well as the represented...
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Improving social competencies of architecture students through participatory design of marketplace regeneration
PublikacjaThe article discusses the involvement of architecture students in actual urban regeneration projects through participatory design and tray to respond question how it can improve students social competences, and benefit their future careers as architects and urban planners. By using the example of the student workshops conducted in 2019 at the Faculty of Architecture, GdanskTech, the article discusses the specific methods applied...
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Application of spatial neural simulators of turbine blade rows to fluid flow diagnostics
PublikacjaThis chapter presents the results of neural modelling of fluid flow in steam turbine row. In modelling working conditions of the flow channel varied, thus the aim of the work was to reconstruct the reference state - distributions of velocity, pressure, and losses in flow channel - with high accuracy for fluid flow diagnostics.
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The heritage of wooden architecture in Poland
PublikacjaArtykuł przedstawia dziedzictwo polskiej architektury drewnianej, granicah obecnych. Obejmuje okres historyczny od powstania do dnia dzisiejszego. Wyodrebniono jako osobny problem ochrony dziedzictwa w ujęciu konserwatorskim oraz rolę skansenów - muzeów na swiezym powietrzu. Opracowanie dotyczy zarówno architektury jak i wnętrz obiektów.
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Arte and Arche. On Art and Architecture
PublikacjaArchitekci poszukują inspiracji i wzorców dla form architektonicznych wśród innych dziedzin sztuki. Zapożyczenia, cytaty i reinterpretacje malarstwa, rzeźby, muzyki, a nawet tańca mogą przynieść oryginalne koncepcje i rozwiązania formalne, przy okazji wiążąc architekturę z szerszym kontekstem historycznym, duchowym i kulturowym. Współczesne formy architektoniczne nieraz powstają jako przestrzenna interpretacja kompozycji malarskich...
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Critical perspectives on media architecture
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The teaching of architecture in the nineteenth century
PublikacjaTematem artykułu jest system kształcenia inżynierów architektów, jaki miał miejsce pod koniec XIX wieku w lwowskiej Szkole Politechnicznej jednej z pierwszych i przez długi czas jedynej na tych ziemiach uczelni technicznej. Omówiona jest zawartość merytoryczna i organizacja pierwszego programu nauczania jaki został przyjęty po uzyskaniu przez uczelnię praw szkoły wyższej (1877), aż do jego reorganizacji pod koniec stulecia, wymuszonej...
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Architektura Parametryczna/ Parametric Architecture
PublikacjaPierwsze systemy CAD przeniosły tradycyjne sposoby projektowania do przestrzeni wirtualnej. Modelowanie algorytmiczne z kolei pozwoliło na wykonywanie powtarzających się zadań w sposób zautomatyzowany, a praca z wykorzystaniem tych narzędzi wymaga wypracowania nowego podejścia.
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"Shaping space" programme as a tool for educating youth about architecture
PublikacjaThe Polish Architectural Policy’s vision of a systematic promotion of spatial culture has made its way into the national curriculum for 2009 – 2016 designed for various stages of child and teenager education. The objective of this effort was to furnish a basis for a system of architectural education which allows teaching society to be more conscious in their decisions as to spatial order with the effect of improving the quality...
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Predicting the impact of traffic–induced vibrations on buildings using artificial neural networks
PublikacjaTraffic–induced vibrations may constitute a considerable load to a building, cause cracking of plaster, cracks in load–bearing elements or even a global structural collapse of the whole structure [1-4]. Vibrations measurements of real structures are costly and laborious, not justified in all cases. The aim of the paper is to create an original algorithm, to predict the negative dynamic impact on the examined residential building...
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Spiral Search Grasshopper Features Selection with VGG19-ResNet50 for Remote Sensing Object Detection
PublikacjaRemote sensing object detection plays a major role in satellite imaging and is required in various scenarios such as transportation, forestry, and the ocean. Deep learning techniques provide efficient performance in remote sensing object detection. The existing techniques have the limitations of data imbalance, overfitting, and lower efficiency in detecting small objects. This research proposes the spiral search grasshopper (SSG)...
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Controlled Random Search Applied to Parameters Estimation of the Longitudinal Solutes Transport Model for Rivers
PublikacjaNumerical computations are presented for the longitudinal transport of passive, conservative solutes in an actual river with the inclusion of geometrical complexities of river channels. A special emphasis is put on the method of the identification of model parameters which is based on a specially designed optimisation procedure using random control search algorithm. Two different situations are considered namely a linear version...
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Lighting education for architects, the barriers and challenges: a survey of architecture students
PublikacjaCreating a well-lit environment requires the understanding of daylight and electric lighting design principles within the built environment. Recent years have brought a large number of new lighting assessment and design methods. The discovery of new photoreceptor cells in the eye - photosensitive retinal ganglion cells - forced lighting researchers to focus on parametrisation for the image forming (IF) and non-image forming (NIF)...
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Clothes Detection and Classification Using Convolutional Neural Networks
PublikacjaIn this paper we describe development of a computer vision system for accurate detection and classification of clothes for e-commerce images. We present a set of experiments on well established architectures of convolutional neural networks, including Residual networks, SqueezeNet and Single Shot MultiBox Detector (SSD). The clothes detection network was trained and tested on DeepFashion dataset, which contains box annotations...
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Embedded Systems Architecture 2024
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Numerical studies on size effects in concrete beams. Architecture Civil Engineering Environment ACEE
PublikacjaW artykule przedstawiony wyniki obliczeń efektów skali w belkach betonowych podczas zginania. Zastosowano model sprężysto-plastyczny z nielokalnym osłabieniem. Rozkład wytrzymałości na rozciąganie był stochastyczny - przestrzennie skorelowany. Belki były geometrycznie podobne. Wyniki porównano z modelem efektu skali Bazanta.
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Traffic Model of IMS/NGN Architecture with Transport Stratum Based on MPLS Technology
PublikacjaGrowing expectations for a fast access to information create strong demands for a universal telecommunication network architecture, which provides various services with strictly determined quality. Currently it is assumed that these requirements will be satisfied by Next Generation Network (NGN), which consists of two stratums and includes IP Multimedia Subsystem (IMS) elements. To guarantee Quality of Service (QoS) all NGN stratums...
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The evolution of education spaces - from plan as generator to regenerative architecture, virtual rooms and green campuses
PublikacjaThe study programmes are often considered the main formative factors in the process of educating future architects. Another highly influential component is the architectural characteristics of learning spaces, and consequently the impact of the physical built environment on the quality of education has been widely discussed. However, not often do we realise that the characteristics of education spaces correlate with the organisational...
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Interactive and Media Architecture – From Social Encounters to City Planning Strategies
PublikacjaThe paper searches into the potential of media and interactive projects to support participation and generate social encounters in public spaces. Moreover, it proposes implementation of media and interactive projects into city planning processes. On the basis of theoretical approaches, case studies and interdisciplinary surveys the paper gives insight how interactive and media architecture can engage people in activities in urban...
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A MODEL FOR FORECASTING PM10 LEVELS WITH THE USE OF ARTIFICIAL NEURAL NETWORKS
PublikacjaThis work presents a method of forecasting the level of PM10 with the use of artificial neural networks. Current level of particulate matter and meteorological data was taken into account in the construction of the model (checked the correlation of each variable and the future level of PM10), and unidirectional networks were used to implement it due to their ease of learning. Then, the configuration of the network (built on the...
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EPILEPTIC BEHAVIOR WITH A DISTINGUISHED PREICTAL PERIOD IN A LARGE-SCALE NEURAL NETWORK MODEL
PublikacjaWe present a neural network model capable of reproducing focal epileptic behavior. An important property of our model is the distinguished preictal state. This novel feature may shed light on the pathologi-cal mechanisms of seizure generation and, in perspective, help develop new therapeutic strategies to manage refractory partial epilepsy.
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Diagnosis of damages in family buildings using neural networks
PublikacjaThe article concerns a problem of damages in family buildings, which result from traffic-induced vibrations. These vibrations arise from various causes and their size is influenced by many factors. The most important is the type of a road, type and weight of vehicles that run on the road, type and condition of the road surface, the distance from the house to the source of vibrations and many others which should be taken into account....
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Analysis of impact of audio modifications on the robustness of watermark for non-blind architecture
PublikacjaThe aim of this paper is to assess the robustness of the non-blind audio content watermarking scheme proposed by the authors. The authors present the architecture of the designed system along with the employed workflows for embedding and extracting the watermark followed by the implementation phase description and the analysis of the experimental results. Some possible attack simulations on the embedded watermarks are reviewed,...
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Selection of an artificial pre-training neural network for the classification of inland vessels based on their images
PublikacjaArtificial neural networks (ANN) are the most commonly used algorithms for image classification problems. An image classifier takes an image or video as input and classifies it into one of the possible categories that it was trained to identify. They are applied in various areas such as security, defense, healthcare, biology, forensics, communication, etc. There is no need to create one’s own ANN because there are several pre-trained...
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Digits Recognition with Quadrant Photodiode and Convolutional Neural Network
PublikacjaIn this paper we have investigated the capabilities of a quadrant photodiode based gesture sensor in the recognition of digits drawn in the air. The sensor consisting of 4 active elements, 4 LEDs and a pinhole was considered as input interface for both discrete and continuous gestures. Index finger and a round pointer were used as navigating mediums for the sensor. Experiments performed with 5 volunteers...
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INFLUENCE OF DATA NORMALIZATION ON THE EFFECTIVENESS OF NEURAL NETWORKS APPLIED TO CLASSIFICATION OF PAVEMENT CONDITIONS – CASE STUDY
PublikacjaIn recent years automatic classification employing machine learning seems to be in high demand for tele-informatic-based solutions. An example of such solutions are intelligent transportation systems (ITS), in which various factors are taken into account. The subject of the study presented is the impact of data pre-processing and normalization on the accuracy and training effectiveness of artificial neural networks in the case...
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A novel approach exploiting properties of convolutional neural networks for vessel movement anomaly detection and classification
PublikacjaThe article concerns the automation of vessel movement anomaly detection for maritime and coastal traffic safety services. Deep Learning techniques, specifically Convolutional Neural Networks (CNNs), were used to solve this problem. Three variants of the datasets, containing samples of vessel traffic routes in relation to the prohibited area in the form of a grayscale image, were generated. 1458 convolutional neural networks with...
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Heavy duty vehicle fuel consumption modelling using artificial neural networks
PublikacjaIn this paper an artificial neural network (ANN) approach to modelling fuel consumption of heavy duty vehicles is presented. The proposed method uses easy accessible data collected via CAN bus of the truck. As a benchmark a conventional method, which is based on polynomial regression model, is used. The fuel consumption is measured in two different tests, performed by using a unique test bench to apply the load to the engine. Firstly,...
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System architecture of an INSPIRE-compliant green cadastre system for the EU Member State of Poland
PublikacjaIn response to the need for a sustainable agricultural policy, which would support activities such as decision making in precise agriculture and mitigation of crop threats, a concept agricultural information system was developed for the area of Poland. This innovative concept, called Green Cadastre (GC), proposes to create a uniform system designed for use on a national scale by both state administration as well as local farmers....
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Environmental impact of construction. Methods of conscious shaping architecture in terms of ecological solutions
PublikacjaShaping an ecologically conscious society is a process that also affects architecture. Currently, designers are eagerly looking for solutions that are beneficial in terms of carbon footprint. For the proper multi-criteria assessment and selection of adequate solutions, it is necessary to use appropriate tools such as, for example, the Life Cycle Assessment (LCA) method or the rules of ecological certification (BREEAM and LEED)....
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Monolithic vs. Microservice Architecture: A Performance and Scalability Evaluation
PublikacjaContext. Since its proclamation in 2012, microservices-based architecture has gained widespread popularity due to its advantages, such as improved availability, fault tolerance, and horizontal scalability, as well as greater software development agility. Motivation. Yet, refactoring a monolith to microservices by smaller businesses and expecting that the migration will bring benefits similar to those reported by top global companies,...
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Jacek Poplatek dr inż. arch.
OsobyJacek Poplatek – adiunkt w Studio Architektury Ochrony Zdrowia należącym do Katedry Architektury Miejskiej i Przestrzeni Nadwodnych. W pracy naukowo-badawczej zajmuje się głównie problematyką programowania i projektowania obiektów architektury służby zdrowia, w tym głównie szpitali. Przedmiotem zainteresowania są także badania XIX wiecznej architektury historycznej Sopotu i ochrony jej dziedzictwa. Jest autorem wielu publikacji...
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[AiU] Challenges and perspectives of contemporary architecture and urbanism
Kursy Online{mlang pl} Dyscyplina: Architektura i Urbanistyka Zajęcia obowiązkowe dla doktorantów I roku Prowadzący: prof. Giovanna Acampa Liczba godzin: 15 h Forma zajęć: warsztaty {mlang} {mlang en} Discipline: Architecture and Urbanism Obligatory course for 1st year PhD students Academic teacher: prof. Giovanna Acampa Total hours of training: 15 teaching hours Course type: workshops {mlang}
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Enhancing Renal Tumor Detection: Leveraging Artificial Neural Networks in Computed Tomography Analysis
PublikacjaRenal cell carcinoma is one of the most common cancers in Europe, with a total incidence rate of 18.4 cases per 100 000 population. There is currently significant overdiagnosis (11% to 30.9%) at times of planned surgery based on radiological studies. The purpose of this study was to create an artificial neural network (ANN) solution based on computed tomography (CT) images as an additional tool to improve the differentiation of...
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Development of a tropical disease diagnosis system using artificial neural network and GIS
PublikacjaExpert systems for diagnosis of tropical diseases have been developed and implemented for over a decade with varying degrees of success. While the recent introduction of artificial neural networks has helped to improve the diagnosis accuracy of such systems, this aspect is still negatively affected by the number of supported diseases. A large number of supported diseases usually corresponds to a high number of overlapping symptoms,...
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Open Data Capability Architecture - An Interpretive Structural Modeling Approach
PublikacjaDespite of increasing availability of open data as a vital organizational resource, large numbers of startups and organizations fail when it comes to utilizing open data effectively. This shortcoming is attributable to the poor understanding of what types of capabilities are required to successfully conduct data related activities. At the same time, research on open data capabilities and how they relate to one another remains sparse....
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A compact smart sensor based on a neural classifier for objects modeled by Beaunier's model
PublikacjaA new solution of a smart microcontroller sensor based on a simple direct sensor-microcontroller interface for technical objects modeled by two-terminal networks and by the Beaunier’s model of anticorrosion coating is proposed. The tested object is stimulated by a square pulse and its time voltage response is sampled four times by the internal ADC of microcontroller. A neural classifier based on measurement data classifies the...
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Frontier education for a sustainable future - speculative design in architecture as a transdisciplinary experiment
PublikacjaIn this article, the authors propose the term frontier education referring to the well-established notion of frontier research - one, that through opening unexpected transdisciplinary perspectives, may offer new insights and create a fertile ground for new discoveries and ground-breaking concepts. In answer to the question of how to get rid of normative thinking and extend architectural experimentations, a speculative design architectural...
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Daylight in Architecture 2022/23
Kursy OnlineTutor: Professor Claudia Naves David Amorim (University of Brasilia) Project: 60 h (lectures + online platform + individual consultations) With a support of e-platform NLITED educational content; http://lms.nlited.eu/, Students will become familiar with the different methods of daylight assessment within the built environment. Innovative daylight design is understood as a better user-centred and energy-efficient design strategy. The...
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[AiU] Research methodology in architecture and urban planning
Kursy Online{mlang pl} Dyscyplina: architektura i urbanistyka Zajęcia obowiązkowe dla doktorantów I roku Prowadzący: Prof. Spela Hudnik Liczba godzin: 30 Forma zajęć: wykład {mlang} {mlang en} Discipline: architecture and urbanism Obligatory course for 1st-year PhD students Academic teachers: Prof. Spela Hudnik Total hours of training: 30 teaching hours Course type: lecture {mlang} CRITICAL ZONES VS COMFORT ZONES
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Application 2D Descriptors and Artificial Neural Networks for Beta-Glucosidase Inhibitors Screening
PublikacjaBeta-glucosidase inhibitors play important medical and biological roles. In this study, simple two-variable artificial neural network (ANN) classification models were developed for beta-glucosidase inhibitors screening. All bioassay data were obtained from the ChEMBL database. The classifiers were generated using 2D molecular descriptors and the data miner tool available in the STATISTICA package (STATISTICA Automated Neural...
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Diagnosing wind turbine condition employing a neural network to the analysis of vibroacoustic signals
PublikacjaIt is important from the economic point of view to detect damage early in the wind turbines before failures occur. For this purpose, a monitoring device was built that analyzes both acoustic signals acquired from the built-in non-contact acoustic intensity probe, as well as from the accelerometers, mounted on the internal devices in the nacelle. The signals collected in this way are used for long-term training of the autoencoder...
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Evaluation of Facial Pulse Signals Using Deep Neural Net Models
PublikacjaThe reliable measurement of the pulse rate using remote photoplethysmography (PPG) is very important for many medical applications. In this paper we present how deep neural networks (DNNs) models can be used in the problem of PPG signal classification and pulse rate estimation. In particular, we show that the DNN-based classification results correspond to parameters describing the PPG signals (e.g. peak energy in the frequency...
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VREA PROJECT - A DIGITAL CURATOR FOR ARCHITECTURE AND DIGITAL PERSPECTIVES FOR HERITAGE MANAGEMENT AND ENHANCEMENT
PublikacjaThinking about architectural education, one must face the challenges of the ever-changing and digital world and bear in mind the figure of the architect of the future - the curator of digital data. Nowadays the aim is to train specialists who know how to manage the production of digital products and are able to face the challenges of digital change in the field of architecture and architectural heritage management. Virtual Reality...
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New Architecture of Solid-State High-Voltage Pulse Generators
PublikacjaThe application of the nanosecond pulsed electric field (nsPEF) for biomedical treatments has gained more interest in recent decades due to the development of pulsed power technologies which provides the ability to control the electric field dose applied during tests. In this context, the proposed paper describes a new architecture of solid-state high-voltage pulse generators (SSHVPG) designed to generate fully customised sequences...
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Neural Network-Based Sequential Global Sensitivity Analysis Algorithm
PublikacjaPerforming global sensitivity analysis (GSA) can be challenging due to the combined effect of the high computational cost, but it is also essential for engineering decision making. To reduce this cost, surrogate modeling such as neural networks (NNs) are used to replace the expensive simulation model in the GSA process, which introduces the additional challenge of finding the minimum number of training data samples required to...
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Search for the fundamental solution to the vector acoustic wave equations
PublikacjaCzasowo-przestrzenna funkcja Greena pola swobodnego jest dobrze znanym rozwiązaniem podsta-wowym skalarnego niejednorodnego równania falowego. Wyraża ona odpowiedź ośrodka płynnego na punktowe zaburzenie o symetrii sferycznej. Odpowiedź ośrodka na zaburzenie wektorowe nie jest tak oczywista. Artykuł przedstawia oryginalne podejście do problemu, polegające na systematycznej, szcze-gółowej weryfikacji hipotetycznych rozwiązań skalarnych...
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Pi of the sky: search for optical flashes of extragalactic origin
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Search for Ultimate Throughput in Ultra-Broadband Photonic Internet
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A Backtracking Search Algorithm for Distribution Network Reconfiguration Problem
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