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Polityka regionalna w aktywizacji obszarów peryferyjnych - wybrane problemy
PublikacjaZa obszary peryferyjne uznano przestrzeń kraju poza obszarami lepiej rozwiniętymi, głównie metropolitalnymi oraz obszarami aktywizowanymi przez Białystok, Kielce i Rzeszów. Niedostatek popytu wewnętrznego uznano za główne ograniczenie rozwoju sektora endogenicznego. Obszary o braku czynników rozwoju sektora egzogenicznego uznano za problemowe, wymagające aktywizującej interwencji w ramach polityki interregionalnej. Autor analizuje...
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Znaczenie i dynamika efektuacji w działaniach zespołów projektowych IT
PublikacjaCel: Celem opracowania jest sprawdzenie, na ile wdrażanie zasad efektuacji jest korzystne dla efektywności zespołów projektowych pracujących nad innowacyjnymi rozwiązaniami i czy wpływa na ich satysfakcję. Metodyka badań: Badania ilościowe zrealizowano w studenckich zespołach projektowych z branży IT, opracowujących rozwiązania na zlecenie interesariuszy zewnętrznych. Do pomiaru zmiennych wykorzystano autorskie kwestionariusze....
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Comparision of two numerical methods for buried steel culverts made of corrugated shell sheets.
PublikacjaW pracy omawia się dwie metody analizy statycznej obudowy tuneli i przepustów dużej średnicy. Pierwsza z nich, metoda sprężyn polega na modelowaniu ośrodka gruntowego radialnymi sprężynami reprezentującymi odkształcalność gruntu. Drugie podejście oparte jest na zastosowaniu metody elementów skończonych i programu SOFISTIC. W układzie obudowa - grunt obudowę modeluje się zwykłymi ramowymi elementami sprężystymi a otaczający...
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Price convergence in the EU-an aggregate and disaggregate approach
PublikacjaThis article examines the price dispersion in the European Union (EU) over 15 years (1990-2005). An extensive overview of the literature offers inconclusive results with the half-lives of price shocks from 2.8 to 282 months. Until now, most of the empirical research has been either micro or macro based. In contrast, we conducted a complex analysis utilizing both aggregate and disaggregate price data. The macro approach is based...
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Statistical evaluation of physical and index properties of Vistula Marshlands deltaic soft soils
PublikacjaThis paper provides statistical evaluation of physical and index parameters of the Vistula Marshlands deltaic soft soils using three datasets. Soft soils from the Vistula Marshlands are grouped into the four categories: (1) silty/sandy loams, (2) organic clays, (3) organic silts and (4) peats. Variability of basic and derivative physical properties as well as Atterberg's limits and plasticity index is studied. It is found that...
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Automatic Emotion Recognition in Children with Autism: A Systematic Literature Review
PublikacjaThe automatic emotion recognition domain brings new methods and technologies that might be used to enhance therapy of children with autism. The paper aims at the exploration of methods and tools used to recognize emotions in children. It presents a literature review study that was performed using a systematic approach and PRISMA methodology for reporting quantitative and qualitative results. Diverse observation channels and modalities...
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Predictions of cervical cancer identification by photonic method combined with machine learning
PublikacjaCervical cancer is one of the most commonly appearing cancers, which early diagnosis is of greatest importance. Unfortunately, many diagnoses are based on subjective opinions of doctors—to date, there is no general measurement method with a calibrated standard. The problem can be solved with the measurement system being a fusion of an optoelectronic sensor and machine learning algorithm to provide reliable assistance for doctors...
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Compact global association based adaptive routing framework for personnel behavior understanding
PublikacjaPersonnel behavior understanding under complex scenarios is a challenging task for computer vision. This paper proposes a novel Compact model, which we refer to as CGARPN that incorporates with Global Association relevance and Adaptive Routing Pose estimation Network. Our framework firstly introduces CGAN backbone to facilitate the feature representation by compressing the kernel parameter space compared with typical algorithms,...
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Issues related to noise and protection against noise against the background of hazards present in the working environment
PublikacjaNoise is one of the physical factors that poses the greatest threat in the working environment. In order to reduce the noise exposure, noise reduction at the source should be considered. Next, the engineering and administrative controls are being developed. Finally, hearing protectors are used. Issues related to protection against noise are part of the topics in the field of occupational...
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Bees Detection on Images: Study of Different Color Models for Neural Networks
PublikacjaThis paper presents an approach to bee detection in video streams using a neural network classifier. We describe the motivation for our research and the methodology of data acquisition. The main contribution to this work is a comparison of different color models used as an input format for a feedforward convolutional architecture applied to bee detection. The detection process has is based on a neural binary classifier that classifies...
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Metoda kapsułkowania z wykorzystaniem systemu współosiowego
PublikacjaW ciągu ostatnich kilkudziesięciu lat mikrokapsułki stały się ważnym narzędziem w dostarczaniu substancji aktywnych przy jednoczesnej ochronie substancji niestabilnych. Gałęzie przemysłu w których mikrokapsułki znalazły zastosowanie to przemysł farmaceutyczny i biomedyczny, produkcja kosmetyków, przemysł spożywczy, ochrona roślin, budownictwo i wiele innych. Dotychczasowe, powszechnie wykorzystywane do tego celu metody, takie jak...
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Decision making process using deep learning
PublikacjaEndüstri 4.0, dördüncü endüstri devrimi veya Endüstriyel Nesnelerin İnterneti (IIoT) olarak adlandırılan sanayi akımı, işletmelere, daha verimli, daha büyük bir esneklikle, daha güvenli ve daha çevre dostu bir şekilde üretim yapma imkanı sunmaktadır. Nesnelerin İnterneti ile bağlantılı yeni teknoloji ve hizmetler birçok endüstriyel uygulamada devrim niteliği taşımaktadır. Fabrikalardaki otomasyon, tahminleyici bakım (PdM – Predictive...
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Reducing Monitoring Costs in Industrially Contaminated Rivers: Cluster and Regression Analysis Approach
PublikacjaMonitoring contamination in river water is an expensive procedure, particularly for developing countries where pollution is a significant problem. This study was conducted to provide a pollution monitoring strategy that reduces the cost of laboratory analysis. The new monitoring strategy was designed as a result of cluster and regression analysis on field data collected from an industrially influenced river. Pollution sources in...
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Comparative study on total nitrogen prediction in wastewater treatment 1 plant and effect of various feature selection methods on machine learning algorithms performance
PublikacjaWastewater characteristics prediction in wastewater treatment plants (WWTPs) is valuable and can reduce the number of sampling, energy, and cost. Feature Selection (FS) methods are used in the pre-processing section for enhancing the model performance. This study aims to evaluate the effect of seven different FS methods (filter, wrapper, and embedded methods) on enhancing the prediction accuracy for total nitrogen (TN) in the WWTP...
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Tool Wear Monitoring Using Improved Dragonfly Optimization Algorithm and Deep Belief Network
PublikacjaIn recent decades, tool wear monitoring has played a crucial role in the improvement of industrial production quality and efficiency. In the machining process, it is important to predict both tool cost and life, and to reduce the equipment downtime. The conventional methods need enormous quantities of human resources and expert skills to achieve precise tool wear information. To automatically identify the tool wear types, deep...
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Spatiotemporal Assessment of Satellite Image Time Series for Land Cover Classification Using Deep Learning Techniques: A Case Study of Reunion Island, France
PublikacjaCurrent Earth observation systems generate massive amounts of satellite image time series to keep track of geographical areas over time to monitor and identify environmental and climate change. Efficiently analyzing such data remains an unresolved issue in remote sensing. In classifying land cover, utilizing SITS rather than one image might benefit differentiating across classes because of their varied temporal patterns. The aim...
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How do responsible universities perceive their social engagement? In search of signs of Creating Shared Value by the University
PublikacjaObjectives: University social responsibility still lacks legitimisation and is perceived as a burden that hinders academics from doing research and teaching. Creating Shared Value by the University may serve as a tool to motivate universities to engage in initiatives for society, as this is beneficial for both parties. Yet, some researchers perceive the creation of economic value as inappropriate for academia. Thus, it was interesting...
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Detecting Apples in the Wild: Potential for Harvest Quantity Estimation
PublikacjaKnowing the exact number of fruits and trees helps farmers to make better decisions in their orchard production management. The current practice of crop estimation practice often involves manual counting of fruits (before harvesting), which is an extremely time-consuming and costly process. Additionally, this is not practicable for large orchards. Thanks to the changes that have taken place in recent years in the field of image...
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Attention-Based Deep Learning System for Classification of Breast Lesions—Multimodal, Weakly Supervised Approach
PublikacjaBreast cancer is the most frequent female cancer, with a considerable disease burden and high mortality. Early diagnosis with screening mammography might be facilitated by automated systems supported by deep learning artificial intelligence. We propose a model based on a weakly supervised Clustering-constrained Attention Multiple Instance Learning (CLAM) classifier able to train under data scarcity effectively. We used a private...
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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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Metoda OptD do redukcji danych w opracowaniu wyników pomiarów linii elektroenergetycznych
PublikacjaSkaning laserowy to technologia dostarczająca we względnie krótkim czasie dużą ilość danych pomiarowych. Jest to zarazem pozytywna jak i negatywna cecha tej technologii. Z jednej strony w wyniku skaningu otrzymuje się dane, które szczegółowo odzwierciedlają pomierzony obiekt. Z drugiej strony trudność sprawia przetwarzanie takiej ilości danych i nie zawsze wszystkie dane ze skaningu są niezbędne do realizacji wybranego zadania....
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An automated learning model for twitter sentiment analysis using Ranger AdaBelief optimizer based Bidirectional Long Short Term Memory
PublikacjaSentiment analysis is an automated approach which is utilized in process of analysing textual data to describe public opinion. The sentiment analysis has major role in creating impact in the day-to-day life of individuals. However, a precise interpretation of text still relies as a major concern in classifying sentiment. So, this research introduced Bidirectional Long Short Term Memory with Ranger AdaBelief Optimizer (Bi-LSTM RAO)...
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Równoważenie rozwoju przestrzennego miast w Polsce
PublikacjaZagadnienie kształtowania przestrzeni miast i obszarów metropolitalnych w sposób spójny i kompleksowy, w tym w odniesieniu do ich struktury funkcjonalno-przestrzennej, jest jednym z ważniejszych problemów współczesnej urbanistyki. Kwestii tej poświęcone jest wiele opracowań zarówno o charakterze teoretycznym, jak i odnoszących się do praktyki projektowej. Jednym z ważniejszych wątków tej debaty jest kwestia równoważenia rozwoju...
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Podstawy pól i fal elektromagnetycznych
PublikacjaW pracy przedstawiono w sposób systematyczny podstawowe zagadnienia elektromagnetyzmu. Materiał zawarto w dwunastu rozdziałach, w których zagadnienia teoretyczne, o ile to było możliwe, ilustrowano przykładami przybliżającymi Czytelnikowi ich sens fizyczny. Początkowe rozdziały poświęcono narzędziom matematycznym stosowanym w analizie zagadnień polowych oraz przedstawieniu koncepcji pól: elektrycznego i magnetycznego. Następnie...
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Numbers, Please: Power- and Voltage-Related Indices in Control of a Turbine-Generator Set
PublikacjaThis paper discusses the proper selection and interpretation of aggregated control performance indices values mirroring the quality of electrical energy generation by a turbine-generator set cooperating with a power system. Typically, a set of basic/classical and individual indices is used in energy engineering to ensure the mirroring feature and is related to voltage, frequency and active or reactive power deviations from their...
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Rola przestrzeni publicznych w procesie rewitalizacji wielkich osiedli mieszkaniowych.
PublikacjaOsiedla mieszkaniowe byłego NRD od 10 lat są poddawane rewitalizacji. Zmieniająca się sytuacja polityczo-ekonomiczna wpływa na zmianę postrzegania przyszłości tych struktur. Powstanie akceptowanych społecznie przestrzeni publicznych jest warunkiem przebudowy ''sypialni-blokowisk'' w sprawnie funkcjonujące dzielnice miejskie. Możliwość realizacji tej wytycznej jest zależna nie tyle od możliwości technicznych ile od czynników...
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Estimation of nonstructural stiffness in instrumented steel frames
PublikacjaLateral stiffness of nonstructural components may significantly influence the initial stiffness of the entire structure and consequently alter its dynamic characteristics. While methods for simulating structural members are well-established, approaches for modeling nonstructural components that also participate in seismic response are notably less developed. In this paper a simplified, physically-intuitive approach for estimating...
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Incorporating installation effects into the probability analysis of controlled modulus columns
PublikacjaThis technical report presents the probabilistic analysis which integrates the Monte Carlo simulation (MCS) with random field theory to model the load–displacement behavior of Controlled Modulus Columns (CMCs) in overconsolidated Poznań clay. Presented study focuses on the practical aspects of statistical analysis of geotechnical data, numerical model development, and results evaluation. Variability and spatial distribution of...
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BASECOL2023 scientific content
PublikacjaContext. The global context of making numerous data produced by researchers available requires collecting and organising the data, assigning meaningful metadata, and presenting the data in a meaningful and homogeneous way. The BASECOL database, which collects inelastic rate coefficients for application to the interstellar medium and to circumstellar and cometary atmospheres, meets those requirements. Aims. We aim to present the...
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Analytical tools for functional assessment of architectural layouts
PublikacjaFunctional layout of the building, understood as a layout or set of the facility rooms (or groups of rooms) with a system of internal communication, creates an environment and a place of mutual relations between the occupants of the object. Achieving optimal (from the occupants’ point of view) spatial arrangement is possible through activities that often go beyond the stage of architectural design. Adopted in the architectural...
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3D MODELLING OF CYLINDRICAL-SHAPED OBJECTS FROM LIDAR DATA - AN ASSESSMENT BASED ON THEORETICAL MODELLING AND EXPERIMENTAL DATA
PublikacjaDespite the increasing availability of measured laser scanning data and their widespread use, there is still the problem of rapid and correct numerical interpretation of results. This is due to the large number of observations that carry similar information. Therefore, it is necessary to extract from the results only the essential features of the modelled objects. Usually, it is based on a process using filtration, followed by...
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Taking advantage of symmetries: Gathering of many asynchronous oblivious robots on a ring
PublikacjaOne of the recently considered models of robot-based computing makes use of identical, memoryless mobile units placed in nodes of an anonymous graph. The robots operate in Look-Compute-Move cycles; in one cycle, a robot takes a snapshot of the current configuration (Look), takes a decision whether to stay idle or to move to one of the nodes adjacent to its current position (Compute), and in the latter case makes an instantaneous...
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Evaluation of a PCR Melting Profile method for intra-species differentiation of Trichophyton rubrum and Trichophyton interdigitale
PublikacjaW celu identyfikacji źródła infekcji spowodowanych przez dermatofity, jak i drogi ich transmisji, istnieje potrzeba szukania nowych metod, które pozwolą na głębokie zróżnicowanie genetyczne szczepów w obrębie rodzaju. W pracy po raz pierwszy pokazano zastosowanie techniki PCR MP opartej o adaptory oligonukleotydowe i różnice w temperaturze topnienia fragmentów restrykcyjnych DNA w reakcji PCR do wewnątrzgatunkowego typowania dermatofitów....
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E-dyplomy: uwarunkowania administracyjne i funkcjonalne ich wprowadzenia na polskich uczelniach
PublikacjaPandemia COVID-19 wymusiła na polskim systemie szkolnictwa wyższego szereg zmian, z których główne dotyczą zmian w zakresie organizacji pracy, cyfryzacji procesów obsługi toku studiów. Przepisy prawa stanowią już o e-teczce, mamy rozporządzenia dotyczące jej prowadzenia, niemniej niewiele uczelni, o ile w ogóle, prowadzi na chwilę obecną akta osobowe studentów w postaci elektronicznej. Jednym z elementów składowych e-teczki jest...
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Entropy Measures in the Assessment of Heart Rate Variability in Patients with Cardiodepressive Vasovagal Syncope
PublikacjaSample entropy (SampEn) was reported to be useful in the assessment of the complexity of heart rate dynamics. Permutation entropy (PermEn) is a new measure based on the concept of order and was previously shown to be accurate for short, non-stationary datasets. The aim of the present study is to assess if SampEn and PermEn obtained from baseline recordings might differentiate patients with various outcomes of the head-up tilt test...
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Employment and export specialization patterns versus GDP per capita performance - unifying approach
PublikacjaThis paper analyses the evolution of specialization patterns along the process of economic development. The scope of the paper is twofold: first of all, it aims at understanding if the evolution of employment specialization is reflected in the same manner in trade specialisation patterns. Secondly, it explores the link between the degree of specialization on one side and cross country GDP per capita performance on the other. We...
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A CNN based coronavirus disease prediction system for chest X-rays
PublikacjaCoronavirus disease (COVID-19) proliferated globally in early 2020, causing existential dread in the whole world. Radiography is crucial in the clinical staging and diagnosis of COVID-19 and offers high potential to improve healthcare plans for tackling the pandemic. However high variations in infection characteristics and low contrast between normal and infected regions pose great challenges in preparing radiological reports....
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Detecting coupling directions with transcript mutual information: A comparative study
PublikacjaCausal relationships are important to understand the dynamics of coupled processes and, moreover, to influence or control the effects by acting on the causes. Among the different approaches to determine cause-effect relationships and, in particular, coupling directions in interacting random or deterministic processes, we focus in this paper on information-theoretic measures. So, we study in the theoretical part the difference between...
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Automated hearing loss type classification based on pure tone audiometry data
PublikacjaHearing problems are commonly diagnosed with the use of tonal audiometry, which measures a patient’s hearing threshold in both air and bone conduction at various frequencies. Results of audiometry tests, usually represented graphically in the form of an audiogram, need to be interpreted by a professional audiologist in order to determine the exact type of hearing loss and administer proper treatment. However, the small number of...
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On the Role of Polarimetric Decomposition and Speckle Filtering Methods for C-Band SAR Wetland Classification Purposes
PublikacjaPrevious wetlands studies have thoroughly verified the usefulness of data from synthetic aperture radar (SAR) sensors in various acquisition modes. However, the effect of the processing parameters in wetland classification remains poorly explored. In this study, we investigated the influence of speckle filters and decomposition methods with different combinations of filter and decomposition windows sizes on classification accuracy....
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Forecasting energy consumption and carbon dioxide emission of Vietnam by prognostic models based on explainable machine learning and time series
PublikacjaThis study assessed the usefulness of algorithms in estimating energy consumption and carbon dioxide emissions in Viet- nam, in which the training dataset was used to train the models linear regression, random forest, XGBoost, and AdaBoost, allowing them to comprehend the patterns and relationships between population, GDP, and carbon dioxide emissions, energy consumption. The results revealed that random forest, XGBoost, and AdaBoost...
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Concurrent Video Denoising and Deblurring for Dynamic Scenes
PublikacjaDynamic scene video deblurring is a challenging task due to the spatially variant blur inflicted by independently moving objects and camera shakes. Recent deep learning works bypass the ill-posedness of explicitly deriving the blur kernel by learning pixel-to-pixel mappings, which is commonly enhanced by larger region awareness. This is a difficult yet simplified scenario because noise is neglected when it is omnipresent in a wide...
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Analityka związków chemicznych z grupy bisfenoli w próbkach o skomplikowanym składzie matrycy, w tym pochodzenia biologicznego
PublikacjaBisfenol A jest substancja produkowaną globalnie na ogromną skalę. Używany jest w produkcji opakowań do żywności, papieru termalnego, wypełnień dentystycznych i całej gamy innych przedmiotów, z którymi człowiek ma na co dzień kontakt. Ze względu na stosunkowo dobrze poznane mechanizmy jego szkodliwego działania, zarówno w kontekście zdrowia ludzkiego jak i dobrostanu ekosystemów, przemysłowe zastosowanie tego związku podlega szeregowi...
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Generation of large finite-element matrices on multiple graphics processors
PublikacjaThis paper presents techniques for generating very large finite-element matrices on a multicore workstation equipped with several graphics processing units (GPUs). To overcome the low memory size limitation of the GPUs, and at the same time to accelerate the generation process, we propose to generate the large sparse linear systems arising in finite-element analysis in an iterative manner on several GPUs and to use the graphics...
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Projektowanie zagregowanych KPI jako metoda implementacji procesów decyzyjnych w zarządzaniu Smart Cities
PublikacjaCelem artykułu jest prezentacja koncepcji pomiaru wydajności procesów zarządzania miastem z wykorzystaniem koncepcji zagregowanych KPI. W zarządzaniu organizacjami, a w konsekwencji stosowania wspólnych ram projektowych również w zarządzaniu miastami stosuje się powszechnie silosowe KPI obrazujące stany procesów organizacji/miasta. Pojawia się więc pytanie na ile proponowane w artykule zagregowane KPI mogą być stosowane w procesach...
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Konkurencyjność : teoria i praktyka : na przykładzie polskiego eksportu artykułów przemysłowych na unijny rynek w latach 1995-2006
PublikacjaCzym jest konkurencyjność? Jak w gąszczu definicji konkurencyjności wybrać tę jedyną właściwą dla badanego zjawiska? Czy istnieje teoria konkurencyjności? Jak zmierzyć poziom konkurencyjności przedsiębiorstwa, branży i gospodarki? Rozpoczynając od odpowiedzi na powyższe pytania autorka w sposób niezwykle przystępny i obrazowy przeprowadza wnikliwą analizę konkurencyjności polskiego eksportu na unijne rynki w latach 1995-2006....
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Węzły grupy B
PublikacjaWęzły grupy B są budowane na przecięciach dróg, z których jedna - z definicji - nie może mieć punktów kolizji, na drugiej natomiast są one dopuszczalne. Węzeł taki oznacza zazwyczaj połączenie drogi ruchu szybkiego z drogami podrzędnymi. Oczywiście, nawet na przecięciu dróg ogólnodostępnych może być zastosowany węzeł grupy A - czyli węzeł całkowicie bezkolizyjny, o ile natężenia i ranga krzyżujących się dróg uzasadniają przyjecie...
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The computational methods in the development of a novel multianalyte calibration technique for potentiometric integrated sensors systems
PublikacjaIn recent years, integration and miniaturization of ion-selective electrodes (ISEs) have brought many benefits resulting in the possibility of simultaneous determination of the ions concentration in small volume samples. One of the key problems related to the preparation of potentiometric integrated sensors systems (PISSs) is a calibration procedure due to the necessity to calibrate each particular sensor separately. The main aim...
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Towards bees detection on images: study of different color models for neural networks
PublikacjaThis paper presents an approach to bee detection in videostreams using a neural network classifier. We describe the motivationfor our research and the methodology of data acquisition. The maincontribution to this work is a comparison of different color models usedas an input format for a feedforward convolutional architecture appliedto bee detection. The detection process has is based on a neural...
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Evaluation of aspiration problems in L2 English pronunciation employing machine learning
PublikacjaThe approach proposed in this study includes methods specifically dedicated to the detection of allophonic variation in English. This study aims to find an efficient method for automatic evaluation of aspiration in the case of Polish second-language (L2) English speakers’ pronunciation when whole words are analyzed instead of particular allophones extracted from words. Sample words including aspirated and unaspirated allophones...