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Application of Text Analytics in Public Service Co-Creation: Literature Review and Research Framework
- Nina Rizun
- Aleksandra Revina
- Noella Edelmann
2023 Pełny tekst
The public sector faces several challenges, such as a number of external and internal demands for change, citizens' dissatisfaction and frustration with public sector organizations, that need to be addressed. An alternative to the traditional top-down development of public services is co-creation of public services. Co-creation promotes collaboration between stakeholders with the aim to create better public services and achieve public values. At the same time, data analytics has been fuelled by the availability of immense amounts of textual data. Whilst both co-creation and TA have been used in the private sector, we study existing works on the application of Text Analytics (TA) techniques on text data to support public service co-creation. We systematically review 75 of the 979 papers that focus directly or indirectly on the application of TA in the context of public service development. In our review, we analyze the TA techniques, the public service they support, public value outcomes, and the co-creation phase they are used in. Our findings indicate that the TA implementation for co-creation is still in its early stages and thus still limited. Our research framework promotes the concept and stimulates the strengthening of the role of Text Analytics techniques to support public sector organisations and their use of co-creation process. From policy-makers' and public administration managers' standpoints, our findings and the proposed research framework can be used as a guideline in developing a strategy for the designing co-created and user-centred public services.
Application of the 3D DEM in the modelling of fractures in pre-flawed marble specimens during uniaxial compression
- Daniel Tomporowski
- Michał Nitka
- Andrzej Tejchman-Konarzewski
2023 ENGINEERING FRACTURE MECHANICS
Przedstawiono w tym artykule wyniki modelowania pęknięć w cylindrycznych próbkach marmurowych ze wstępnymi nacięciami w czasie jednoosiowego ściskania . Zastosowano metodę elementów dyskretnych (DEM). Zbadano propagację i koalescencję pęknięć w próbkach marmuru z istniejącymi otwartymi nacięciami pod różnymi kątami do poziomu. Wyniki numerycznych symulacji trójwymiarowych (3D) zostały bezpośrednio porównane z badaniami laboratoryjnymi. Czyste kule i grona złożone z kul symulujące strukturę marmuru zostały użyte do oszacowań pęknięć. Zbadano powstawanie skrzydłowych i wtórnych pęknięć pod obciążeniem. Przestudiowano także wpływ mniejszych ziaren i relacji między spójnością kontaktową i normalną wytrzymałością kontaktową. Właściwości geometryczne początkowych nacięć i efekt blokowania wpłynęły na maksymalną siłę ściskającą, odpowiedź pokrytyczną i wzorce propagacji rys w próbkach marmuru. Wyniki obliczeń w porównaniu z doświadczeniami były satysfakcjonujące. Symulacje DEM pokazały, że wyniki zależały od stosunek kohezyjnego do rozciągającego normalnego naprężenia kontaktowego. Wyniki DEM również pokazały korelację wyników z kształtem cząstek (kule kontra grona).
Application of unmanned USV surface and AUV underwater maritime platforms for the monitoring of offshore structures at sea
- Mirosław Gerigk
- Mateusz Gerigk
2023 Pełny tekst Zeszyty Naukowe Akademii Morskiej w Szczecinie
The operation of offshore structures at sea requires the implementation of advanced systems for their permanent monitoring. There is a set of novel technologies that could be implemented to deliver a higher level of effective and safe operation of these systems. A possible novel solution may be the application of a new maritime unmanned (USV) surface and underwater vehicles/platforms (AUV). Application of such vehicles/platforms may increase the level of operability and safety of the offshore structures and installations. Practical use of these platforms requires the application of advanced forms of different technologies to platform structures, materials, strength of structures, applied propulsion systems, energy supply sources, dynamics of platforms, control, and communication systems. The new control and communication systems may require an application of AI (artificial intelligence) technology to obtain more advanced offshore monitoring systems. The application of the USV/AUV platforms for monitoring offshore structures may provide an increase in the functionality, performance, and safety levels of those structures in operation. This paper presents a concept for an offshore monitoring system based on the application of the USV/AUV platforms. The complexity of the research is shown by presenting the performance-oriented risk-based method. The basic information on the platforms is given. The main drivers that determine the functionality, performance, and safety of the USV/AUV platforms are introduced. A brief description of the primary operational characteristics of the platforms is presented. An example of a simple operational procedure (scenario) during the monitoring of an offshore structure is described. In the final part of this paper, conclusions are given.
Application of Wavelet Transform and Fractal Analysis for Esophageal pH-Metry to Determine a New Method to Diagnose Gastroesophageal Reflux Disease
- Piotr Tojza
- Łukasz Doliński
- Grzegorz Redlarski
- Jacek Szkopek
- Mariusz Dąbkowski
- Maria Janiak
2023 Pełny tekst Applied Sciences-Basel
In this paper, a new method for analysing gastroesophageal reflux disease (GERD) is shown. This novel method uses wavelet transform (WT) and wavelet-based fractal analysis (WBFA) on esophageal pH-metry measurements. The esophageal pH-metry is an important diagnostic tool supporting the physician’s work in diagnosing some forms of reflux diseases. Interpreting the results of 24-h pH-metry monitoring is time-consuming, and the conclusions of such an analysis can sometimes be too subjective. There is no strict procedure or reference values to follow when the impedance measurements are assessed. Therefore, an attempt was made to develop a point of reference for the assessment process, helping to distinguish healthy patients from GERD patients. In this approach, wavelet transform (WT) and wavelet-based fractal analysis (WBFA) were used to aid the diagnostic process. With this approach, it was possible to develop two efficient computer methods to classify healthy and sick patients based on the pH measurement data alone. The WT method provided a sensitivity value of 93.33%, with 75% specificity. The results of the fractal analysis confirmed that the tested signals have features that enable their automatic classification and assignment to a group of sick or healthy people. The article will be interesting for those studying the application of wavelet and fractal analysis in biomedical waveforms. The authors included in the work a description of the implementation of the fractal and wavelet analysis, the descriptions of the results of the analyses, and the conclusions drawn from them. The work will also be of interest to those who study the methods of using machine learning and artificial intelligence in computer-aided, automatic medical diagnostics.
Applying the Lombard Effect to Speech-in-Noise Communication
- Grazina Korvel
- Krzysztof Kąkol
- Povilas Treigys
- Bożena Kostek
2023 Pełny tekst Electronics
This study explored how the Lombard effect, a natural or artificial increase in speech loudness in noisy environments, can improve speech-in-noise communication. This study consisted of several experiments that measured the impact of different types of noise on synthesizing the Lombard effect. The main steps were as follows: first, a dataset of speech samples with and without the Lombard effect was collected in a controlled setting; then, the frequency changes in the speech signals were detected using the McAulay and Quartieri algorithm based on a 2D speech representation; next, an average formant track error was computed as a metric to evaluate the quality of the speech signals in noise. Three image assessment methods, namely the SSIM (Structural SIMilarity) index, RMSE (Root Mean Square Error), and dHash (Difference Hash) were used for this purpose. Furthermore, this study analyzed various spectral features of the speech signals in relation to the Lombard effect and the noise types. Finally, this study proposed a method for automatic noise profiling and applied pitch modifications to neutral speech signals according to the profile and the frequency change patterns. This study used an overlap-add synthesis in the STRAIGHT vocoder to generate the synthesized speech.
Areas of Fan Research—A Review of the Literature in Terms of Improving Operating Efficiency and Reducing Noise Emissions
- Marian Piwowarski
- Damian Jakowski
2023 Pełny tekst ENERGIES
Fans as industrial devices are among the most significant single recipients of driving energy. Therefore, they represent an important area of energy savings to reduce CO2 emissions. The ubiquity of fans and their operation under conditions different from the optimum provides an opportunity for more significant global reductions in the energy used to drive them. The second important aspect, besides energy efficiency, related to the operation of fans is the noise they generate. This article studies fans in various operating configurations, emphasizing improving operating efficiency and reducing noise emissions. The subject matter undertaken is based on the current trends and needs of the industry, notably the ventilation and power industry. The article attempts a detailed literature review taking into account just these aspects. The paper is divided into three main sections, with an analysis of the literature in the areas of energy efficiency, considering the operation of fans with the necessary instrumentation, the incidence of vibration, and noise optimization. The final area of analysis is the parameters and components of the plant in which the fans operate. This article identifies possible sites for further research and scientific work to improve and optimize the areas identified earlier.
Artificial intelligence and productivity: global evidence from AI patent and bibliometric data
- Aleksandra Parteka
- Aleksandra Kordalska
2023 Pełny tekst TECHNOVATION
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 paradox. We show that the development of AI technologies remains a niche innovation phenomenon with a negligible role in the officially recorded productivity growth process. This general result, i.e. a lack of a strong relationship between AI and registered macroeconomic productivity growth, is robust to changes in the country sample, in the way we quantify labour productivity and technology (including AI stock), in the specification of the empirical model (control variables) and in estimation methods
Artificial neural network prophecy of ion exchange process for Cu (II) eradication from acid mine drainage
- Vikas S. Hakke
- R. W. Gaikwad
- A. R. Warade
- Shirish H. Sonawane
- Grzegorz Boczkaj
- S.s. Sonawane
- V. S. Sapkal
2023 International Journal of Environmental Science and Technology
The removal of heavy metal ions from wastewater was found to be significant when the cation exchange procedure was used effectively. The model of the cation exchange process was built using an artificial neural network (ANN). The acid mine drainage waste’s Cu(II) ion was removed using Indion 730 cation exchange resin. Experimental data from 252 cycles were recorded. In a column study, 252 experimental observations validated the three-layered ANN module’s ion exchange process forecasting. The model design for the ion exchange process focuses on the process’s major constraints, such as initial flow rate, initial concentration of Cu (II) ions, and AMDW residence time in the column, to fit the working environment. The maximum metal ion removal efficiency was found at 5 LPH initial flowrate, 5 pH suspension, and 60 cm bed height. With a regression value of 0.99, the proposed model matches experimental values. A hidden layer with 6 neurons and an outer layer with a linear transfer function can predict adsorption efficiency using the three-layer ANN module’s backpropagation (BP) technique. A linear method was used to construct the correlation between dependent and independent variables. The BP-ANN module’s coefficient of correlation was 0.99 with accurate dependent variable predictions. In a feedforward neural network, the current research’s ANN module predicts the best conditions for Cu(II) ion extraction.
Asfalteny jako fazy stacjonarne w chromatografii cieczowej w normalnych układach faz
- Dorota Wojewódka
2023 Pełny tekst
Rozprawa doktorska dotyczy zbadania możliwości wykorzystania asfaltenów wydzielonych z: próżniowej pozostałości ropy naftowej, produktów jej utleniania i naturalnego asfaltu jako fazy stacjonarnej na powierzchni sorpcyjnej żelu krzemionkowego do rozdzielania nisko polarnych organicznych związków chemicznych w warunkach chromatografii cieczowej w normalnych układach faz, w odniesieniu do żelu krzemionkowego jako nośnika. Opracowano metodykę wydzielania i oczyszczania materiałów asfaltenowych. Określono ich charakterystyki spektralne i skład elementarny. Modelowano warunki impregnacji powierzchni żelu krzemionkowego w kolumnach HPLC w warunkach TLC i SPE. Na podstawie parametrów retencji i selektywności rozdzielania mieszanin testowych węglowodorów oraz badań składu grupowego, zarówno w warunkach TLC, szczególnie HPLC, stwierdzono zróżnicowaną w stosunku do żelu krzemionkowego i różną dla różnych asfaltenów retencję i selektywność rozdzielania nisko polarnych związków chemicznych o charakterze węglowodorów. Dotyczy to również grupowego rozdzielania benzyny pirolitycznej oraz olejów bazowych i smarowych. Stwierdzono też nieoczekiwaną zdolność materiałów asfaltenowych do wzbudzania fluorescencji asfaltenów i frakcji asfaltenowych przez alifatyczne i innego rodzaju molekularne struktury organicznych związków chemicznych niewykazujących absorpcji światła UV.
ASPEKTY DECYDUJĄCE O ODPOWIEDZI DYNAMICZNEJ KOLEJOWEGO MOSTU ŁUKOWEGO NA PODSTAWIE REZULTATÓW WIELOKRYTERIALNEJ ANALIZY OPTYMALIZACYJNEJ
- Przemysław Kalitowski
- Krzysztof Żółtowski
2023
W artykule podjęto problem optymalizacji jednotorowego stalowego mostu łukowego o rozpiętości 70 metrów. Zastosowano optymalizację wielokryterialną, której funkcjami celu były masa konstrukcji oraz maksymalne przyspieszenia podczas dynamicznego przejazdu taboru dużych prędkości. Zastosowano wielokryterialną wersję algorytmu optymalizacji roju cząstek. Przeprowadzono dziewięć wariantów optymalizacji, różnicując układ wieszaków: pionowe, ukośne, siatkowe i maksymalną prędkość pociągu: 160, 200 i 300 km/h. Wyniki pozwoliły na wyciągnięcie wniosków dotyczących wpływu sztywności głównych elementów konstrukcyjnych na odpowiedź dynamiczną. Przedstawienie wyników w dziedzinie częstotliwości i postaci drgań własnych umożliwiło korelację odpowiedzi dynamicznej z częstotliwościami drgań własnych konstrukcji oraz prędkościami rezonansowymi podczas przejazdu. W podsumowaniu sformułowano zalecenia dotyczące analizy dynamicznej i projektowania obiektów tej klasy.
Assessing and Mitigating Ice-Jam Flood Hazards and Risks: A European Perspective
- Karl-Erich Lindenschmidt
- Knut Alfredsen
- Dirk Carstensen
- Adam Choryński
- David Gustafsson
- Michał Halicki
- Bernd Hentschel
- Niina Karjalainen
- Michael Kögel
- Tomasz Kolerski
- Marika Kornaś-Dynia
- Michał Kubicki
- Zbigniew W. Kundzewicz
- Cornelia Lauschke
- Albert Malinger
- Włodzimierz Marszelewski
- Fabian Möldner
- Barbro Näslund-Landenmark
- Tomasz Niedzielski
- Antti Parjanne
- Bogusław Pawłowski
- Iwona Pińskwar
- Joanna Remisz
- Maik Renner
- Michael Roers
- Maksymilian Rybacki
- Ewelina Szałkiewicz
- Michał Szydłowski
- Grzegorz Walusiak
- Matylda Witek
- Mateusz Zagata
- Maciej Zdralewicz
2023 Pełny tekst Water
The assessment and mapping of riverine flood hazards and risks is recognized by many countries as an important tool for characterizing floods and developing flood management plans. Often, however, these management plans give attention primarily to open-water floods, with ice-jam floods being mostly an afterthought once these plans have been drafted. In some Nordic regions, ice-jam floods can be more severe than open-water floods, with floodwater levels of ice-jam floods often exceeding levels of open-water floods for the same return periods. Hence, it is imperative that flooding due to river ice processes be considered in flood management plans. This also pertains to European member states who are required to submit renewed flood management plans every six years to the European governance authorities. On 19 and 20 October 2022, a workshop entitled “Assessing and mitigating ice-jam flood hazard and risk” was hosted in Poznań, Poland to explore the necessity of incorporating ice-jam flood hazard and risk assessments in the European Union’s Flood Directive. The presentations given at the workshop provided a good overview of flood risk assessments in Europe and how they may change due to the climate in the future. Perspectives from Norway, Sweden, Finland, Germany, and Poland were presented. Mitigation measures, particularly the artificial breakage of river ice covers and ice-jam flood forecasting, were shared. Advances in ice processes were also presented at the workshop, including state-of-the-art developments in tracking ice-floe velocities using particle tracking velocimetry, characterizing hanging dam ice, designing new ice-control structures, detecting, and monitoring river ice covers using composite imagery from both radar and optical satellite sensors, and calculating ice-jam flood hazards using a stochastic modelling approach.
Assessing ecotoxicity, synergic and antagonistic actions of commonly used components of polymerization mixture in molecularly imprinted polymers preparation process
- Natalia Jatkowska
- Laura Olszewska
- Mariusz Marć
2023 MICROCHEMICAL JOURNAL
Increasingly, the challenge is the optimal process of developing a suitable MIP-type sorptive material (taking into account its final form and application area), which is mainly related to the efficiency/effectiveness of the polymerization process. The lack of reaction or its low efficiency generates additional waste and puts it into the environmental cycle. The main aim of the performed research was the estimation of ecotoxicity, and effect of joint action of commonly used components of polymerization mixture applied in MIPs preparation process. The general purpose of this work is to apply bioluminescent bacteria in order to find any potential interactions taking place in two and three-component polymerization mixtures containing selected MIP polymerization components. According to calculated EC50 values for all tested compounds, the toxicity of MIP components to the bioluminescent bacterium Vibrio fischeri can be arranged in decreasing order as follows: DVB > DCM > EDGMA > MAA > TMSPMA > APTES > MMA > TEOS > TMPTA > AA > ACN. Based on obtained results, it was concluded that EGDMA has a strong influence on the antagonistic interactions among mixture components. An overestimation of the toxicity value was noticed for only eight mixtures, where one of the component was DVB, EGDMA, or TEOS.
Assessing historical church tower asymmetry using point cloud spatial expansion
- Paweł Szymon Dąbrowski
- Marek Zienkiewicz
- Linh Truong-hong
- Roderik Lindenbergh
2023 Journal of Building Engineering
Church towers are key cultural heritage. In theory, towers are vertical, while facade elements are symmetrically positioned around the tower axis. However, during service of a structure, building and lifetime conditions cause deviations, with associated risks. Laser scanning point clouds can be used to assess the structural state but a universal approach was missing. The proposed algorithm first estimates the tower inclination, and tests which multi-axis representation best represents the course of the tower. Next, point cloud spatial expansion recovers relative distances and deviations of facade elements. The resulting procedure was applied to assess two Dutch medieval towers including the Old Church in Delft and the St. Bavo Church in Haarlem, respectively. As results of analysis, significant asymmetry was found with a 1.4° deviation of the multi-modal axis of the St. Bavo Church tower together with variations of 0.1%–1.5% for facade slopes, while 0.1°–3.1° radial deviations were found in the position of the turrets of the Old Church tower.
Assessing the attractiveness of human face based on machine learning
- Adriana Żejmo
- Maciej Gielert
- Marcin Grabski
- Bożena Kostek
2023 Pełny tekst
The attractiveness of the face plays an important role in everyday life, especially in the modern world where social media and the Internet surround us. In this study, an attempt to assess the attractiveness of a face by machine learning is shown. Attractiveness is determined by three deep models whose sum of predictions is the final score. Two annotated datasets available in the literature are employed for training and testing the algorithms, i.e., a dataset named SCUT-FBP5500 to train the deep learning models to predict facial attractiveness and Face Research Lab London Set designated for the test. The first model pays attention to the dominant background colors in the photo; the second model is based on a pre-trained deep neural network. Finally, for facial proportion assessment, distances between key points on the face are linked with attractiveness ratings, so the last dataset considers face proportions. Several algorithms are trained and tested, including baseline machine learning algorithms, i.e., LinearSVR, SDGRegressor, Lasso, RandomForestRegressor, and deep models, such as Xception VGG19 ResNet50v2, and MobileNetv2. A discussion of the results, as well as some concluding remarks, are also provided. The results from the trained models based on SCUT-FBP5500 show a systematic error for the Face Research Lab London Set database. This is probably caused by a different type of image evaluation in both databases. Although the results obtained show no visible winner among the algorithms employed, the best results are seen for five clusters and five colors fed onto the regressor.
Assessing the failure of Open Government Data initiatives in Brazil
- Guilherme Costa Wiedenhöft
- Charalampos Harris Alexopoulos
- Stuti Saxena
- Nina Rizun
- Ricardo Matheus
2023 Pełny tekst Electronic Journal of Information Systems in Developing Countries
While assessing the potential of a particular digital innovation initiative, especially when it has implications for a range of societal stakeholders, it becomes pertinent to understand the possible bottlenecks in its acceptability as well. In this regard, the present study seeks to understand how the Open Government Data (OGD) initiatives in Brazil are being confronted with bottlenecks in terms of their execution and acceptability. This exploratory study adopts a qualitative cross-sectional research approach wherein interviews are being conducted with 11 managers working in public organizations and are directly associated with the OGD initiatives. Findings from the interview responses delineate internal and external factors, resource availability, data maintenance, and lack of knowledge as the key determinants for the bottlenecks associated with the execution and acceptability of OGD initiatives by the societal stakeholders. The study's originality lies in its theoretical contribution towards an understanding of how a novel digital innovation-OGD, in the present case- is fraught with impediments in terms of its execution and acceptability. The study concludes with directions for further research and practitioner implications
Assessment of codes recommendations for the evaluation of the seismic gap of buildings founded on different soil types
- Mahmoud Miari
- Robert Jankowski
2023 AIP Conference Proceedings
Several equations have been proposed in the literature to evaluate the seismic gap preventing earthquake-induced structural pounding, such as the ones based on the absolute sum of the peak displacements (ABS), the square root of the sum of the squares (SRSS), the double difference method (DDC), Australian code and the approach proposed by Naderpour et al. The aim of this paper is to investigate the accuracy of these equations taking the soil type into consideration. Three buildings have been considered, which are 5-storey, 7-storey and 9-storey buildings. Three possible pounding scenarios have been considered between these three buildings which are pounding between 5-storey and 7-storey buildings, pounding between 5-storey and 9-storey buildings and pounding between 7-storey and 9-storey buildings. Five soil types have been taken into account, which are soil types defined in the ASCE 7-10 code (hard rock, rock, very dense soil and soft rock, stiff soil and soft clay soil). The result of this study shows that the ABS and Naderpour formulas are always conservative, but they overestimate the gap. Indeed, the SRSS, DDC and Australian code formulas provide overestimate, accurate and nonconservative results.
Assessment of Sewage Molecular Markers: Linear Alkylbenzenes in Sediments of an Industrialized Region in Peninsular Malaysia
- Sadeq Abdullah Abdo Alkhadher
- Hussein Al-Hazmi
- Suhaimi Suratman
- Mohamad Pauzi Zakaria
- Najat Masood
- Bartosz Szeląg
- Sami M. Magam
- Ebrahim H. H. Al-Qadami
- Joanna Majtacz
- Przemysław Kowal
- Tonni Agustiono Kurniawan
- Sameer A.M. Abdulrahman
- Saeed S. Albaseer
2023 Pełny tekst Water
In this study, the use of linear alkylbenzenes (LABs) was employed to pinpoint the sources of human activity that cause detrimental impacts on the coastal environment and river ecosystems. LABs were detected using GC–MS in sediment samples assembled from Kim Kim River (KKR) and the Port Dickson coast (PDC). To assess the significance of variations in the distribution and concentrations of LABs across the sampling sites, this study utilized several statistical techniques such as post hoc tests, LSD techniques, analysis of variance (ANOVA), and the Pearson correlation coefficient using a significance level of p < 0.05. The degradation levels of LABs and wastewater treatment were assessed in the study using internal congeners (I/E), homologs of C13 and C12, and long-to-short-chain (L/S) ratios. The results revealed that the LAB concentrations varied between 88.3 and 112 ng/g dw in KKR and 119 to 256 ng/g dw in the PDC. Most of the surveyed areas exhibited a substantial count of C13–LABs homologs that displayed a significant difference (p < 0.05). The I/E ratios ranged from 1.7 to 2.0 in KKR and from 2.0 to 4.1 in the PDC, suggesting that the effluents originated from sources associated with the physical phase and biological phase in wastewater treatment systems (WWTSs). The results revealed that the degradation of LABs varied between 34% and 38% in KKR and between 40% and 64% in the PDC. This study underscores the importance of ongoing improvements to WWTSs and emphasizes the potential of LABs as indicators for monitoring wastewater contamination.
Assessment of Subsoil Subsidence Under the Railway Surface with the Use of Fuzzy Sets
- Eligiusz Mieloszyk
- Anita Milewska
- Mariusz Wyroślak
2023 AIP Conference Proceedings
The cause of the subsidence of the railway track is the subsidence of the track bed itself and it is often related to the subsidence of the subsoil. Such settlement leads to: uneven longitudinal railways and track twist. These phenomena have a negative impact on the comfort and safety of driving, and in extreme cases lead to a train derailment. It has been shown that the magnitude of these settlements is determined by many parameters characterizing the subgrade and subsoil as well as dynamic interactions (vibrations) generated by passing rail vehicles. The propagation of these vibrations in the subgrade and the subsoil is related to the propagation of the generated elastic waves as mechanical waves in the elastic medium which is the subgrade and further the subsoil. Fuzzy sets, operations on them and their properties were used to assess the subsidence of the subsoil under the railway surface. Using the created membership functions , = 1, 2, … , their linear combination is determined. The coefficients of this combination are selected by the AHP method. Practical applications of the created linear combination (created models) were indicated.
Assessment of Technical Conditions in Adapting a Historic Warehouse's Space Functionality
- Maciej Niedostatkiewicz
- Tomasz Majewski
2023 Pełny tekst Modern Engineering
The paper is a case study in the assessment of the technical condition of a building that is an immovable monument located in a former shipyard area. Due to the change in the use of the industrial area and the intention to build a production hall, it was necessary to consider the demolition of the historic building, while preserving as many of its historical aspects as possible. The paper presents a detailed description of the methodology for assessing the technical condition of a warehouse building and describes the proposed variants of its further use.
Assessment of the Accuracy of a Virtual Multi-Channel Temperature Measuring Instrument
- Romuald Maśnicki
- Beata Pałczyńska
2023 Pełny tekst Scientific Journal of Gdynia Maritime University
The multi-channel temperature measurement system developed works with NTC thermistors. The article presents the results of theoretical and empirical evaluation of accuracy obtained in measurement channels. The basis for the theoretical assessment is the mathematical model for each of the measurement channels and the characteristics of the system elements included in the circuits of the measurement channel. Two different methods were used to theoretically estimate the accuracy: the Gauss Formula and the Monte Carlo method. The empirical assessment of accuracy is supported by measurement data collected during the calibration procedures for the device developed and the results of verification measurements performed on a working device. The exemplary results presented of the accuracy assessment, obtained in the selected channel, are representative of the properties of all other measurement channels. The results of both methods of assessing accuracy in measurement channels are very similar, which confirms the assumptions regarding the implementation of the instrument developed and its good metrological properties.