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Tytuł:
„Slow city” jako model rozwoju lokalnego
“Slow city” as a local development model
Autorzy:
Zadęcka, E.
Powiązania:
https://bibliotekanauki.pl/articles/2051644.pdf
Data publikacji:
2018
Wydawca:
Akademia Bialska Nauk Stosowanych im. Jana Pawła II w Białej Podlaskiej
Tematy:
slow city model
city
smart city model
local development
development factor
Cittaslow network
Opis:
Przedmiot i cel pracy: Celem artykułu jest charakterystyka modelu „slow city”- założeń, uwarunkowań oraz efektów jego implementacji na gruncie polskim a także przedstawienie inteligentnych rozwiązań w wykorzystaniu zasobów własnych małych miast. Materiały i metody: Artykuł powstał w oparciu o studia i syntezę literatury polskiej i zagranicznej oraz przegląd dokumentów strategicznych polskich miast należących do Cittaslow. Wyniki: Artykuł zapełnia dotychczasową lukę w obszarze współczesnych strategii rozwoju małych miast. Opisuje model „slow city”, w oparciu o który rozwijają się małe miast należące do sieci miast Cittaslow. Prezentuje inteligentne rozwiązania w wykorzystaniu endogennych zasobów własnych małych miast. Wnioski: Przeprowadzona analiza pozwoliła stwierdzić, że model „slow city” jest przydatny w procesie rozwoju małych miast. Gwarantuje optymalne i inteligentne wykorzystanie endogenicznych zasobów małego miasta. Jednakże przegląd dokumentów strategicznych miast „slow city” pokazuje, że miasta te dotykają – jak większość małych miast, negatywne zjawiska społeczno-gospodarcze.
Subject and purpose of work: The goal of the article is to characterize the “slow city” model, its assumptions, conditions and effects of its implementation in Polish conditions. It also aims to present intelligent solutions in using own resources of small cities. Materials and methods: The article was based on the study and synthesis of Polish and foreign literature and a review of strategic documents of Polish cities belonging to Cittaslow. Results: The article fills the existing gap in the area of contemporary strategies for the development of small towns. It describes the “slow city” model, on the basis of which small cities belonging to the Cittaslow city network are developing. Intelligent solutions in the use of endogenous own resources of small cities are also presented. Conclusions: The analysis carried out made it possible to state that the “slow city” model is useful in the development of small towns. It guarantees optimal and intelligent use of endogenous resources of a small town. However, the review of the strategic documents of the cities of “slow city” shows that these cities affect, like most small cities, negative socio-economic phenomena.
Źródło:
Economic and Regional Studies; 2018, 11, 3; 84-106
2083-3725
2451-182X
Pojawia się w:
Economic and Regional Studies
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A Conceptual Framework for Business Model Innovation: The Case of Electric Vehicles in China
Koncepcyjne ramy dla modelowych rozwiązań biznesowych: przypadek samochodów elektrycznych w Chinach
Autorzy:
Shao, L.
Xue, Y.
You, J.
Powiązania:
https://bibliotekanauki.pl/articles/371763.pdf
Data publikacji:
2014
Wydawca:
Polska Akademia Nauk. Komitet Człowiek i Środowisko PAN
Tematy:
business model innovation
electric vehicles
“3-7” structure system
two-phase conceptual framework
value network
modelowa innowacja biznesowa
samochody elektryczne
system strukturalny „3-7”
dwufazowe ramy konceptualne
wartość sieci
Opis:
EVs (electric vehicle), as sustainable technologies, hold the potential to achieve the sustainability of the transport system and challenge the prevailing business models of internal combustion engines (ICEs). To unlock the dominant logic of ICEs and promote the diffusion of EVs, Business model (BM) innovation is necessary. However, BM innovation for EVs still faces many obstacles. This paper makes contribution theoretically and practically by constructing a “3-7” system and proposing a two-phase conceptual framework for BM innovation of EVs. The case of Shenzhen City, China is studied to illustrate how the “3-7” system and two-phase conceptual framework is applied. Based on the case study, this paper concludes two new barriers that are not highlighted by the previous literature and makes a number of suggestions to help address the issues found in BM innovation.
Samochody elektryczne (EVs – electric vehicles), jako technologie prośrodowiskowe mogą doprowadzić do zrównoważoności całego systemu transportowego, stanowiąc tym samym wyzwanie dla dominującego modelu biznesowego tradycyjnych pojazdów spalinowych. Aby przełamać monopol maszyn spalinowych i doprowadzić do upowszechnienia samochodów elektrycznych, konieczne jest opracowanie biznesowego modelu innowacji. Niestety, w przypadku samochodów elektrycznych nadal napotyka on na wiele przeszkód. W tym artykule proponujemy rozwiązania zarówno na płaszczyźnie teoretycznej, jak i praktycznej, proponując system „3-7” i składające się z dwóch faz ramy konceptualne. W celach zobrazowania tego systemu wybrano przypadek miasta Shenzen w Chinach. Na tej podstawie w dyskusji zidentyfikowano dwie nowe bariery, który nie były dotąd omawiane w literaturze i zaproponowano szereg nowych rozwiązań, które powinny przyczynić się do rozwiązania istniejących problemów.
Źródło:
Problemy Ekorozwoju; 2014, 9, 2; 27-37
1895-6912
Pojawia się w:
Problemy Ekorozwoju
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A data envelopment analysis based for evaluating efficiency of bus public routes
Autorzy:
Asmael, N. M.
Waheed, M. Q.
Powiązania:
https://bibliotekanauki.pl/articles/1853680.pdf
Data publikacji:
2020
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
DEA
analiza zakresu danych
model sieci
efektywność
skuteczność
trasa autobusu
transport publiczny
serwis autobusu
data envelopment analysis
network model
efficiency
effectiveness
bus route
public transport
bus service
Opis:
The public transport service is highly essential to meet the demand due to a rapidly growing population and mobility. Thus providing public service and improve its service becomes an urgent need in recent years. In Iraq, the Bus system represents the backbone in public transportation, which is based mainly on highway infrastructure. To meet the growing mobility needs, enhancing public service provided only by bus routes is essential. Measuring bus route performance represents one of the crucial transit research topics in the last recent years. The current study tries to investigate the urban public route's efficiency utilizing the "data envelopment analysis (DEA)" technique. To analyze route performance, DEA is using, and performance measures include route design, cost, service, operation, and comfort efficiency are selected and calculated for different routes. Efficiency and effectiveness are the output of this process. Bus company owners can also use the results of this study to improve their services, attract new customers, and better manage their resources.
Źródło:
Archives of Civil Engineering; 2020, 66, 4; 303-323
1230-2945
Pojawia się w:
Archives of Civil Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A hybrid model for modelling the salinity of the Tafna River in Algeria
Hybrydowy model służący modelowaniu zasolenia rzeki Tafna w Algierii
Autorzy:
Houari, Khemissi
Hartani, Tarik
Remini, Boualem
Lefkir, Abdelouhab
Abda, Leila
Heddam, Salim
Powiązania:
https://bibliotekanauki.pl/articles/292367.pdf
Data publikacji:
2019
Wydawca:
Instytut Technologiczno-Przyrodniczy
Tematy:
Adaptive-Network-Based Fuzzy Inference System (ANFIS)
hybrid model
neuro-fuzzy
salinity
salt flow
Tafna River
model hybrydowy
przepływ soli
rzeka Tafna
system neuronowo-rozmyty
system wnioskowania rozmytego (ANFIS)
zasolenie
Opis:
In this paper, the capacity of an Adaptive-Network-Based Fuzzy Inference System (ANFIS) for predicting salinity of the Tafna River is investigated. Time series data of daily liquid flow and saline concentrations from the gauging station of Pierre du Chat (160801) were used for training, validation and testing the hybrid model. Different methods were used to test the accuracy of our results, i.e. coefficient of determination (R2), Nash–Sutcliffe efficiency coefficient (E), root of the mean squared error (RSR) and graphic techniques. The model produced satisfactory results and showed a very good agreement between the predicted and observed data, with R2 equal (88% for training, 78.01% validation and 80.00% for testing), E equal (85.84% for training, 82.51% validation and 78.17% for testing), and RSR equal (2% for training, 10% validation and 49% for testing).
W pracy badano zdolność systemu wnioskowania rozmytego opartego na adaptacyjnej sieci (ANFIS) do przewidywania zasolenia rzeki Tafna. Do trenowania, oceny i testowania modelu hybrydowego wykorzystano serie pomiarów dobowych przepływów płynu i stężeń soli ze stacji pomiarowej w Pierre du Chat (160801). Dokładność wyników testowano za pomocą: współczynnika determinacji (R2), współczynnika wydajności Nasha–Sutcliffe’a (E), pierwiastka średniego błędu kwadratowego (RSR) i technik graficznych. Model dał zadowalające wyniki i wykazywał dobrą zgodność między danymi obserwowanymi a przewidywanymi: R2 (88% w przypadku uczenia sieci, 78.01% walidacji i 80.00% testowania), E (85.84% w przypadku uczenia sieci, 82.51% walidacji i 78.17% testowania) i RSR (2% w przypadku uczenia sieci, 10% walidacji i 49% testowania).
Źródło:
Journal of Water and Land Development; 2019, 40; 127-135
1429-7426
2083-4535
Pojawia się w:
Journal of Water and Land Development
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A mathematical model for file fragment diffusion and a neural predictor to manage priority queues over BitTorrent
Autorzy:
Napoli, C.
Pappalardo, G.
Tramontana, E.
Powiązania:
https://bibliotekanauki.pl/articles/331212.pdf
Data publikacji:
2016
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
P2P model
neural network
wavelet
diffusion
file sharing
model P2P
sieć neuronowa
falka
dyfuzja
wymiana plików
Opis:
BitTorrent splits the files that are shared on a P2P network into fragments and then spreads these by giving the highest priority to the rarest fragment. We propose a mathematical model that takes into account several factors such as the peer distance, communication delays, and file fragment availability in a future period also by using a neural network module designed to model the behaviour of the peers. The ensemble comprising the proposed mathematical model and a neural network provides a solution for choosing the file fragments that have to be spread first, in order to ensure their continuous availability, taking into account that some peers will disconnect.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2016, 26, 1; 147-160
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A Model of time Variability of Characteristic Parameters of the Water Distribution System as a Base of Information and the Basis of Mathematical Modelling
Autorzy:
Trębicka, Agnieszka
Powiązania:
https://bibliotekanauki.pl/articles/123351.pdf
Data publikacji:
2020
Wydawca:
Polskie Towarzystwo Inżynierii Ekologicznej
Tematy:
computer simulation
distribution systems
water supply network
mathematical model
dynamic model
computer modelling
Opis:
The subject of the paper is the Bialystok water supply network. The studies on the Bialystok water supply network are aimed at identifying new, more rational ways of operation (decreasing the pressure value) and defining the conditions for expansion and modernization of the water supply network, with the particular system analysis as a part of identifying the most dangerous places on the network. The increase of requirements concerning the quality and the time of realisation in the scope of the design studies requires the introduction of computer technology in calculations. The work presents the processes based on mapping and refinement of specific conservative states of the water distribution system (SDW), using mathematical modelling taking into account the latest available computer techniques.
Źródło:
Journal of Ecological Engineering; 2020, 21, 1; 46-51
2299-8993
Pojawia się w:
Journal of Ecological Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A Neural Network Model for Object Mask Detection in Medical Images
Autorzy:
Tereikovskyi, Igor
Korchenko, Oleksander
Bushuyev, Sergey
Tereikovskyi, Oleh
Ziubina, Ruslan
Veselska, Olga
Powiązania:
https://bibliotekanauki.pl/articles/2200721.pdf
Data publikacji:
2023
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
model
neural network
object mask
medical images
Opis:
In modern conditions in the field of medicine, raster image analysis systems are becoming more widespread, which allow automating the process of establishing a diagnosis based on the results of instrumental monitoring of a patient. One of the most important stages of such an analysis is the detection of the mask of the object to be recognized on the image. It is shown that under the conditions of a multivariate and multifactorial task of analyzing medical images, the most promising are neural network tools for extracting masks. It has also been determined that the known detection tools are highly specialized and not sufficiently adapted to the variability of the conditions of use, which necessitates the construction of an effective neural network model adapted to the definition of a mask on medical images. An approach is proposed to determine the most effective type of neural network model, which provides for expert evaluation of the effectiveness of acceptable types of models and conducting computer experiments to make a final decision. It is shown that to evaluate the effectiveness of a neural network model, it is possible to use the Intersection over Union and Dice Loss metrics. The proposed solutions were verified by isolating the brachial plexus of nerve fibers on grayscale images presented in the public Ultrasound Nerve Segmentation database. The expediency of using neural network models U-Net, YOLOv4 and PSPNet was determined by expert evaluation, and with the help of computer experiments, it was proved that U-Net is the most effective in terms of Intersection over Union and Dice Loss, which provides a detection accuracy of about 0.89. Also, the analysis of the results of the experiments showed the need to improve the mathematical apparatus, which is used to calculate the mask detection indicators.
Źródło:
International Journal of Electronics and Telecommunications; 2023, 69, 1; 41--46
2300-1933
Pojawia się w:
International Journal of Electronics and Telecommunications
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A Novel Software-Defined Networking Controller : the Distributed Active Information Model (DAIM)
Autorzy:
Pupatwibul, P.
Banjar, A.
Hossain, M. I.
Braun, R.
Moulton, B.
Powiązania:
https://bibliotekanauki.pl/articles/226996.pdf
Data publikacji:
2018
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
distributed network
OpenFlow
DAIM model
software defined networking
next generation networks
Opis:
This paper presents a new OpenFlow controller: the Distributed Active Information Model (DAIM). The DAIM controller was developed to explore the viability of a logically distributed control plane. It is implemented in a distributed way throughout a software-defined network, at the level of the switches. The method enables local process flows, by way of local packet switching, to be controlled by the distributed DAIM controller (as opposed to a centralised OpenFlow controller). The DAIM ecosystem is discussed with some sample code, together with flowcharts of the implemented algorithms. We present implementation details, a testing methodology, and an experimental evaluation. A performance analysis was conducted using the Cbench open benchmarking tool. Comparisons were drawn with respect to throughput and latency. It is concluded that the DAIM controller can handle a high throughput, while keeping the latency relatively low. We believe the results to date are potentially very interesting, especially in light of the fact that a key feature of the DAIM controller is that it is designed to enable the future development of autonomous local flow process and management strategies.
Źródło:
International Journal of Electronics and Telecommunications; 2018, 64, 2; 209-216
2300-1933
Pojawia się w:
International Journal of Electronics and Telecommunications
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A Proposed Merging Methods of Digital Elevation Model Based on Artificial Neural Network and Interpolation Techniques for Improved Accuracy
Autorzy:
Alemam, Mustafa K.
Yong, Bin
Sani-Mohammed, Abubakar
Powiązania:
https://bibliotekanauki.pl/articles/27314479.pdf
Data publikacji:
2023
Wydawca:
Polska Akademia Nauk. Centrum Badań Kosmicznych PAN
Tematy:
digital elevation model
GIS
artificial neural network
interpolation methods
SRTM
Opis:
The digital elevation model (DEM) is one of the most critical sources of terrain elevations, which are essential in various geoscience applications. Most of these applications need precise elevations, which are available at a high cost. Thus, sources like the Shuttle Radar Topography Mission (SRTM) DEM are frequently accessible to all users but with low accuracy. Consequently, many studies have tried to improve the accuracy of DEMs acquired from these free sources. Importantly, using the SRTM DEM is not recommended for an area that partly contains high-accuracy data. Thus, there is a need for a merging technique to produce a merged DEM of the whole area with improved accuracy. In recent years, advancements in geographic information systems (GIS) have improved data analysis by providing tools for applying merging techniques (like the minimum, maximum, last, first, mean, and blend (conventional methods)) to improve DEMs. In this article, DEM merging methods based on artificial neural network (ANN) and interpolation techniques are proposed. The methods are compared with other existing methods in commercial GIS software. The kriging, inverse distance weighted (IDW), and spline interpolation methods were considered for this investigation. The essential step for achieving the merging stage is the correction surface generation, which is used for modifying the SRTM DEM. Moreover, two cases were taken into consideration, i.e., the zeros border and the H border. The findings show that the proposed DEM merging methods (PDMMs) improved the accuracy of the SRTM DEM more than the conventional methods (CDMMs). The findings further show that the PDMMs of the H border achieved higher accuracy than the PDMMs of the zeros border, while kriging outperformed the other interpolation methods in both cases. The ANN outperformed all methods with the highest accuracy. Its improvements in the zeros and H border respectively reached 22.38% and 75.73% in elevation, 34.67% and 54.83% in the slope, and 40.28% and 52.22% in the aspect. Therefore, this approach would be cost-effective, especially in critical engineering projects.
Źródło:
Artificial Satellites. Journal of Planetary Geodesy; 2023, 58, 3; 122--170
2083-6104
Pojawia się w:
Artificial Satellites. Journal of Planetary Geodesy
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A Small Wind Turbine Output Model for Spatially Constrained Remote Island Micro-Grids
Autorzy:
Žigman, D.
Meštrović, K.
Tomiša, T.
Powiązania:
https://bibliotekanauki.pl/articles/2172468.pdf
Data publikacji:
2022
Wydawca:
Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
Tematy:
wind turbine
small wind turbine
decision tree model
artificial neural network model
random forest model
micro-grids
spatially constrained remote Island micro-grids
remote Island micro-grid
Opis:
Modelling operation of the power supply system for remote island communities is essential for its operation, as well as a survival of a modern society settled in challenging conditions. Micro-grid emerges as a proper solution for a sustainable development of a spatially constrained remote island community, while at the same time reflecting the power requirements of similar maritime subjects, such as large vessels and fleets. Here we present research results in predictive modelling the output of a small wind turbine, as a component of a remote island micro-grid. Based on a month-long experimental data and the machine learning-based predictive model development approach, three candidate models of a small wind turbine output were developed, and assessed on their performance based on an independent set of experimental data. The Random Forest Model out performed competitors (Decision Tree Model and Artificial Neural Network Model), emerging as a candidate methodology for the all-year predictive model development, as a later component of the over-all remote island micro-grid model.
Źródło:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2022, 16, 1; 143--146
2083-6473
2083-6481
Pojawia się w:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A Study on the Impact of Lombard Effect on Recognition of Hindi Syllabic Units Using CNN Based Multimodal ASR Systems
Autorzy:
Uma Maheswari, Sadasivam
Shahina, A.
Rishickesh, Ramesh
Nayeemulla Khan, A.
Powiązania:
https://bibliotekanauki.pl/articles/176415.pdf
Data publikacji:
2020
Wydawca:
Polska Akademia Nauk. Czasopisma i Monografie PAN
Tematy:
Lombard speech
multimodal ASR
throat microphone
visual speech
Convolutional Neural Network
Hidden Markov Model
late fusion
intermediate fusion
Opis:
Research work on the design of robust multimodal speech recognition systems making use of acoustic, and visual cues, extracted using the relatively noise robust alternate speech sensors is gaining interest in recent times among the speech processing research fraternity. The primary objective of this work is to study the exclusive influence of Lombard effect on the automatic recognition of the confusable syllabic consonant-vowel units of Hindi language, as a step towards building robust multimodal ASR systems in adverse environments in the context of Indian languages which are syllabic in nature. The dataset for this work comprises the confusable 145 consonant-vowel (CV) syllabic units of Hindi language recorded simultaneously using three modalities that capture the acoustic and visual speech cues, namely normal acoustic microphone (NM), throat microphone (TM) and a camera that captures the associated lip movements. The Lombard effect is induced by feeding crowd noise into the speaker’s headphone while recording. Convolutional Neural Network (CNN) models are built to categorise the CV units based on their place of articulation (POA), manner of articulation (MOA), and vowels (under clean and Lombard conditions). For validation purpose, corresponding Hidden Markov Models (HMM) are also built and tested. Unimodal Automatic Speech Recognition (ASR) systems built using each of the three speech cues from Lombard speech show a loss in recognition of MOA and vowels while POA gets a boost in all the systems due to Lombard effect. Combining the three complimentary speech cues to build bimodal and trimodal ASR systems shows that the recognition loss due to Lombard effect for MOA and vowels reduces compared to the unimodal systems, while the POA recognition is still better due to Lombard effect. A bimodal system is proposed using only alternate acoustic and visual cues which gives a better discrimination of the place and manner of articulation than even standard ASR system. Among the multimodal ASR systems studied, the proposed trimodal system based on Lombard speech gives the best recognition accuracy of 98%, 95%, and 76% for the vowels, MOA and POA, respectively, with an average improvement of 36% over the unimodal ASR systems and 9% improvement over the bimodal ASR systems.
Źródło:
Archives of Acoustics; 2020, 45, 3; 419-431
0137-5075
Pojawia się w:
Archives of Acoustics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Acoustical Assessment of Automotive Mufflers Using FEM, Neural Networks, and a Genetic Algorithm
Autorzy:
Chang, Y.-C.
Chiu, M.-C.
Wu, M.-R.
Powiązania:
https://bibliotekanauki.pl/articles/177901.pdf
Data publikacji:
2018
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
acoustics
finite element method
genetic algorithm
muffler optimization
polynomial neural network model
Opis:
In order to enhance the acoustical performance of a traditional straight-path automobile muffler, a multi-chamber muffler having reverse paths is presented. Here, the muffler is composed of two internally parallel/extended tubes and one internally extended outlet. In addition, to prevent noise transmission from the muffler’s casing, the muffler’s shell is also lined with sound absorbing material. Because the geometry of an automotive muffler is complicated, using an analytic method to predict a muffler’s acoustical performance is difficult; therefore, COMSOL, a finite element analysis software, is adopted to estimate the automotive muffler’s sound transmission loss. However, optimizing the shape of a complicated muffler using an optimizer linked to the Finite Element Method (FEM) is time-consuming. Therefore, in order to facilitate the muffler’s optimization, a simplified mathematical model used as an objective function (or fitness function) during the optimization process is presented. Here, the objective function can be established by using Artificial Neural Networks (ANNs) in conjunction with the muffler’s design parameters and related TLs (simulated by FEM). With this, the muffler’s optimization can proceed by linking the objective function to an optimizer, a Genetic Algorithm (GA). Consequently, the discharged muffler which is optimally shaped will improve the automotive exhaust noise.
Źródło:
Archives of Acoustics; 2018, 43, 3; 517-529
0137-5075
Pojawia się w:
Archives of Acoustics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Actors-resources-activities analysis as a basis for Polish furniture network research
Specyfika polskiego przemysłu meblarskiego w ujęciu sieciowym. Perspektywa modelu ARA (aktorzy-zasoby-działania)
Autorzy:
Ratajczak-Mrozek, M.
Herbec, M.
Powiązania:
https://bibliotekanauki.pl/articles/52713.pdf
Data publikacji:
2013
Wydawca:
Sieć Badawcza Łukasiewicz - Instytut Technologii Drewna
Tematy:
ARA model
Polska
furniture industry
network research
business network
cooperation
industrial environment
Opis:
The aim of the article is to identify the specifics of the furniture industry based upon the example of Poland and with the application of the industrial network approach. In the article, the ARA (Actors-Resources-Activities) model is adopted as the basic framework developed within the industrial network approach. This in turn allows for the identification of the interdependencies between important entities (actors), resources and activities influencing this industry, the main entities within the industry, the surrounding business environment as well as their characteristics. A special emphasis is put on the entities from the environment surrounding the furniture industry so as to include some significant factors influencing it – both in a positive and negative sense.
Ważne korzyści otrzymywane dzięki współpracy i relacjom sieciowym są istotne zarówno z perspektywy samych przedsiębiorstw (z powodu chociażby poprawy wyników rynkowych), jak i konkretnych przemysłów czy całej gospodarki (poprawa konkurencyjności). Z tego powodu identyfikacja potencjału sieciowego na poziomie konkretnego przemysłu wraz z analizą jego specyfiki w ujęciu sieciowym jest również istotna dla wspierania więzi regulacyjnych dotyczących danej dziedziny gospodarki. W związku z powyższym celem artykułu jest identyfikacja specyfiki – ważnego dla polskiej gospodarki – przemysłu meblarskiego z wykorzystaniem podejścia sieciowego i dzięki temu wskazanie istotnych podmiotów, a także zależności w zakresie zasobów i działań, wywierających wpływ na ten przemysł. W prezentowanej analizie wykorzystano model ARA (Actors-Resources-Activities), który jest jednym z podstawowych modeli stosowanych do analizy zależności w podejściu sieciowym. W efekcie możliwe było wskazanie specyfiki omawianego przemysłu zgodnie z modelem ARA (w zakresie podmiotów, zasobów i działań), a w szczególności zidentyfikowanie głównych podmiotów przemysłu i otoczenia oraz ich charakterystyki. Jest to o tyle ważne, że ograniczanie analiz wyłącznie do podmiotów z danego przemysłu powoduje pominięcie istotnych czynników wywierających na niego wpływ – zarówno pozytywny, jak i negatywny. Dokonana analiza specyfiki przemysłu meblarskiego z wykorzystaniem modelu ARA stanowi pewien schemat koncepcyjny, który ma dać podstawę do przyszłych analiz z zakresu złożoności relacji poszczególnych przedsiębiorstw oraz całego przemysłu.
Źródło:
Drewno. Prace Naukowe. Doniesienia. Komunikaty; 2013, 56, 190
1644-3985
Pojawia się w:
Drewno. Prace Naukowe. Doniesienia. Komunikaty
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
An adaptive fuzzy network for control of manipulating robot dynamic behavior
Autorzy:
Petrović, P.
Milacić, V.
Powiązania:
https://bibliotekanauki.pl/articles/206872.pdf
Data publikacji:
1998
Wydawca:
Polska Akademia Nauk. Instytut Badań Systemowych PAN
Tematy:
model dynamiczny rozmyty
robot
sterowanie adaptacyjne
adaptive fuzzy network
fuzzy dynamic model
impedance control
manipulating robots
Opis:
In this paper is considered the problem how to achieve a specific dynamic behavior of robot end-point from the aspect of impedance control and actuation redundancy. The target impedance is analytically formulated. Due to its complexity, analytical formulation is not suitable for real-time application. To overcome this problem, a simple fuzzy model of isotropic impedance in the form of adaptive fuzzy network is proposed. This model is incorporated in the general form of impedance control law, so that a new fuzzy-impedance control law is obtained. Verification of the proposed control law is provided by computer simulation, taking as example 2-d.o.f. manipulating robot.
Źródło:
Control and Cybernetics; 1998, 27, 4; 503-519
0324-8569
Pojawia się w:
Control and Cybernetics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
An Authenticated Routing Protocol for Wireless Ad Hoc Network Based on Small World Model
Autorzy:
Wang, Daxing
Xu, Leying
Powiązania:
https://bibliotekanauki.pl/articles/1844509.pdf
Data publikacji:
2021
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
small world model
wireless ad hoc network
routing protocol
authentication theory
AODV routing protocol
Opis:
Compared with traditional cellular networks, wireless ad hoc networks do not have trusted entities such as routers, since every node in the network is expected to participate in the routing function. Therefore, routing protocols need to be specifically designed for wireless ad hoc networks. In this work, we propose an authenticated routing protocol based on small world model (ARSW). With the idea originating from the small world theory, the operation of the protocol we proposed is simple and flexible. Our simulation results show the proposed ARSW not only increases packet delivery ratio, but also reduces packet delivery delay. In particularly, Using authentication theory, the proposed ARSW improves communication security.
Źródło:
International Journal of Electronics and Telecommunications; 2021, 67, 3; 425-430
2300-1933
Pojawia się w:
International Journal of Electronics and Telecommunications
Dostawca treści:
Biblioteka Nauki
Artykuł

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