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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:
Convolutional Neural Network Model Based Human Wearable Smart Ring System : Agent Approach
Autorzy:
Bhajantri, Lokesh B.
Kagalkar, Ramesh M.
Ranjolekar, Pundalik
Powiązania:
https://bibliotekanauki.pl/articles/2055210.pdf
Data publikacji:
2021
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
internet of things
agents
convolutional neural networks
smart ring system
agent knowledge base
Opis:
The Internet of Things has a set of smart objects with smart connectivity that assists in monitoring real world environment during emergency situations. It could monitor the various applications of emergency situations such as road accidents, criminal acts including physical assaults, kidnap cases, and other threats to people’s way of life. In this work, the proposed work is to afford real time services to users in emergency situations through Convolutional Neural Networks in terms of efficiency and reliable services. Finally, the proposed work has simulated with respect to the performance parameters of the proposed scheme like the probability of accuracy and processing time.
Źródło:
International Journal of Electronics and Telecommunications; 2021, 67, 4; 673--678
2300-1933
Pojawia się w:
International Journal of Electronics and Telecommunications
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Grid Search of Convolutional Neural Network model in the case of load forecasting
Autorzy:
Tran, Thanh Ngoc
Powiązania:
https://bibliotekanauki.pl/articles/1841362.pdf
Data publikacji:
2021
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
load forecasting
grid search
convolutional neural network
Opis:
The Convolutional Neural Network (CNN) model is one of the most effective models for load forecasting with hyperparameters which can be used not only to determine the CNN structure and but also to train the CNN model. This paper proposes a frame work for Grid Search hyperparameters of the CNN model. In a training process, the optimalmodels will specify conditions that satisfy requirement for minimum of accuracy scoresof Root Mean Square Error (RMSE), Mean Absolute Percentage Error (MAPE) and Mean Absolute Error (MAE). In the testing process, these optimal models will be used to evaluate the results along with all other ones. The results indicated that the optimal models have accuracy scores near the minimum values. Load demand data of Queensland (Australia) and Ho Chi Minh City (Vietnam) were utilized to verify the accuracy and reliability of the Grid Search framework.
Źródło:
Archives of Electrical Engineering; 2021, 70, 1; 25-36
1427-4221
2300-2506
Pojawia się w:
Archives of Electrical Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Predicting index to complete schedule performance indicator in highway projects using artificial neural network model
Autorzy:
Jasim, Nidal A.
Maruf, Shelan M.
Aljumaily, Hadi S. M.
Al-Zwainy, Faiq M. S.
Powiązania:
https://bibliotekanauki.pl/articles/230165.pdf
Data publikacji:
2020
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
projekt autostrady
sztuczna sieć neuronowa
wskaźnik wykonania
harmonogram
GMDH
oprogramowanie powłoki
budżet na zakończenie
wartość wypracowana
wartość planowania
highway project
artificial neural network
complete performance indicator
schedule
shell software
budget to completion
earned value
planning value
Opis:
Inaccurate estimation in highway projects represents a major problem facing planners and estimators, especially when data and information about the projects are not available, and therefore the need to use modern technologies that addresses the problem of inaccuracy of estimation arises. The current methods and techniques used to estimate earned value indexes in Iraq are weak and inefficient. In addition, there is a need to adopt new and advanced technologies to estimate earned value indexes that are fast, accurate and flexible to use. The main objective of this research is to use an advanced method known as artificial neural networks to estimate the TSPI of highway buildings. The application of artificial neural networks as a new digital technology in the construction industrial in Republic of Iraq is absolutely necessary to ensure successful project management. One model built to predict the TCSPI of highway projects. In this current study, artificial neural network model were used to model the process of estimating earned value indexes, and several cases related to the construction of artificial neural networks have been studied, including network architecture and internal factors and the extent of their impact on the performance of artificial neural network models. Easy equation was developed to calculate that TSPI. It was found that these networks have the ability to predict the TSPI of highway projects with a very outstanding saucepan of reliability (97.00%), and the accounting coefficients (R) (95.43%).
Źródło:
Archives of Civil Engineering; 2020, 66, 3; 541-554
1230-2945
Pojawia się w:
Archives of Civil Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Determination of Input Parameters of the Neural Network Model, Intended for Phoneme Recognition of a Voice Signal in the Systems of Distance Learning
Autorzy:
Akhmetov, B.
Tereykovsky, I.
Doszhanova, A.
Tereykovskaya, L.
Powiązania:
https://bibliotekanauki.pl/articles/226378.pdf
Data publikacji:
2018
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
neural networks
phonemes
recognition of a voice signal
system of distance learning
mel-cepstral coefficients
spectral analysis
Opis:
The article is devoted to the problem of voice signals recognition means introduction in the system of distance learning. The results of the conducted research determine the prospects of neural network means of phoneme recognition. It is also shown that the main difficulties of creation of the neural network model, intended for recognition of phonemes in the system of distance learning, are connected with the uncertain duration of a phoneme-like element. Due to this reason for recognition of phonemes, it is impossible to use the most effective type of neural network model on the basis of a multilayered perceptron, at which the number of input parameters is a fixed value. To mitigate this shortcoming, the procedure, allowing to transform the non-stationary digitized voice signal to the fixed quantity of mel-cepstral coefficients, which are the basis for calculation of input parameters of the neural network model, is developed. In contrast to the known ones, the possibility of linear scaling of phoneme-like elements is available in the procedure. The number of computer experiments confirmed expediency of the fact that the use of the offered coding procedure of input parameters provides the acceptable accuracy of neural network recognition of phonemes under near-natural conditions of the distance learning system. Moreover, the prospects of further research in the field of development of neural network means of phoneme recognition of a voice signal in the system of distance learning is connected with an increase in admissible noise level. Besides, the adaptation of the offered procedure to various natural languages, as well as to other applied tasks, for instance, a problem of biometric authentication in the banking sector, is also of great interest.
Źródło:
International Journal of Electronics and Telecommunications; 2018, 64, 4; 425-432
2300-1933
Pojawia się w:
International Journal of Electronics and Telecommunications
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Applying of security mechanisms to middle and high layers of OSI/ISO network model
Mechanizmy bezpieczeństwa w zastosowaniu śsrodkowych i górnych warstw sieciowego modelu OSI/ISO
Autorzy:
Kołodziejczyk, M.
Ogiela, M. R.
Powiązania:
https://bibliotekanauki.pl/articles/375804.pdf
Data publikacji:
2012
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
AES
authentication
authorization
application
community string
dictionary attack
DDoS attack
DNS
DoS attack
hash function
HTTP
ICMP
IPv4
IPv6
man in the middle attack
MD5
OSI/ISO model
password
port scanning
protocol
SHA-1
sniffing
SNMP
spoofing
SYN flooding
TCP
tunnelling
UDP
Opis:
This article describes security mechanisms used by 3rd-7th layers in OSI/ISO network model. Many of commonly used protocols by these layers were designed with assumption that there are no intruders. Such assumption was true many years ago. The network situation has been changed for last few years and we should realize that some properties of existing protocols may be abused. Moreover, we should exchange some of them or create new versions. There are some methods and guidelines concerning secure programming, but there is also lack of guidelines about creating secure protocols. Authors see the necessity of such guideline and this article is an attempt at analysing existing solutions and selecting some universal and important patterns.
Artykuł opisuje popularne mechanizmy bezpieczeństwa stosowane w istniejących protokołach sieciowych środkowych i górnych warstw modelu OSI/ISO (od trzeciej warstwy włącznie). Wiele spośród tych protokołów zostało zaprojektowanych bardzo dawno temu i chociaż do dzisiaj są wykorzystywane i spisują się bardzo dobrze to jednak umożliwiają pewne nadużycia swojej funkcjonalności. Wiele z opisanych tutaj protokołów nie bierze pod uwagę ataków sieciowych. Autorzy postanowili wyselekcjonować pewną grupę protokołów, które mogą posłużyć do analizy zagrożeń sieciowych. Dzisiaj, mając pewne niebezpieczne rozwiązania jesteśmy bogatsi o pewne praktyczne doświadczenia z tym związane. Pozwala to analizować zagrożenie, klasyfikować je i wreszcie skutecznie im przeciwdziałać w nowych protokołach. Często są to rozwiązania lokalne, tworzone przez pewne grupy studentów lub konkretne firmy. Powstają również nowe, globalne rozwiązania. W pierwszym przypadku, nowy protokół może stanowić realne zagrożenie ze strony intruza. W drugim, należałoby poddać przynajmniej częściowej analizie formalnej nowe rozwiązanie. Istnieje wiele metod skupiających się na tworzonym oprogramowaniu, jednak często protokoły, jako rozwiązania autorskie są pomijane w analizie. Artykuł jest również próbą wstępnej klasyfikacji zagrożeń i stworzenia pewnych uniwersalnych rad dla twórców nowych rozwiązań. W pracy zarysowuje się potrzeba zmian pewnych istniejących rozwiązań, których słabości są opisane w artykule. Autorzy są przekonani, że niebezpieczny protokół nie może być użyty w bezpiecznym programie, bo jak np. można stworzyć bezpieczny program, jeśli protokół nie posiada odpowiedniego mechanizmu uwierzytelniania? Ten i wiele innych aspektów bezpieczeństwa zostało w pracy poruszonych i omówionych na przykładzie istniejących rozwiązań.
Źródło:
Theoretical and Applied Informatics; 2012, 24, 1; 95-106
1896-5334
Pojawia się w:
Theoretical and Applied Informatics
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:
N-Body Potential Interaction as a Cost Function in the Elastic Model for SANET Cloud Computing
Autorzy:
Chaczko, Z.
Resconi, G.
Chiu, C.
Aslanzadeh, S.
Powiązania:
https://bibliotekanauki.pl/articles/227216.pdf
Data publikacji:
2012
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
elastic network model
cloud computing
Sensor-Actor networks
matrix calculus
N-Body interactions
cost functions
Opis:
Given a connection graph of entities that send and receive a flow of data controlled by effort and given the parameters, the metric tensor is computed that is in the elastic relational flow to effort. The metric tensor can be represented by the Hessian of the interaction potential. Now the interaction potential or cost function can be among two entities: 3 entities or 'N' entities and can be separated into two main parts. The first part is the repulsion potential the entities move further from the others to obtain minimum cost, the second part is the attraction potential for which the entities move near to others to obtain the minimum cost. For Pauli's model [1], the attraction potential is a functional set of parameters given from the environment (all the elements that have an influence in the module can be the attraction of one entity to another). Now the cost function can be created in a space of macro-variables or macro-states that is less of all possible variables. Any macro-variable collect a set of micro-variables or microstates. Now from the hessian of the macro-variables, the Hessian is computed of the micro-variables in the singular points as stable or unstable only by matrix calculus without any analytical computation - possible when the macro-states are distant among entities. Trivially, the same method can be obtained by a general definition of the macro-variable or macro-states and micro-states or variables. As cloud computing for Sensor-Actor Networks (SANETS) is based on the bonding concept for complex interrelated systems; the bond valence or couple corresponds to the minimum of the interaction potential V and in the SANET cloud as the minimum cost.
Źródło:
International Journal of Electronics and Telecommunications; 2012, 58, 1; 63-70
2300-1933
Pojawia się w:
International Journal of Electronics and Telecommunications
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Noise Elimination of Reciprocating Compressors Using FEM, Neural Networks Method, and the GA Method
Autorzy:
Chang, Y.-C.
Chiu, M.-C.
Xie, J.-L.
Powiązania:
https://bibliotekanauki.pl/articles/178126.pdf
Data publikacji:
2017
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
finite element method
polynomial neural network model
genetic algorithm
group method of data handling
reciprocating compressor
optimization
Opis:
Industry often utilizes acoustical hoods to block noise emitted from reciprocating compressors. However, the hoods are large and bulky. Therefore, to diminish the size of the compressor, a compact discharge muffler linked to the compressor outlet is considered. Because the geometry of a reciprocating compressor is irregular, COMSOL, a finite element analysis software, is adopted. In order to explore the acoustical performance, a mathematical model is established using a finite element method via the COMSOL commercialized package. Additionally, to facilitate the shape optimization of the muffler, a polynomial neural network model is adopted to serve as an objective function; also, a Genetic Algorithm (GA) is linked to the OBJ function. During the optimization, various noise abatement strategies such as a reverse expansion chamber at the outlet of the discharge muffler and an inner extended tube inside the discharge muffler, will be assessed by using the artificial neural network in conjunction with the GA optimizer. Consequently, the discharge muffler that is optimally shaped will decrease the noise of the reciprocating compressor.
Źródło:
Archives of Acoustics; 2017, 42, 2; 189-197
0137-5075
Pojawia się w:
Archives of Acoustics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Shape Optimisation of Multi-Chamber Acoustical Plenums Using BEM, Neural Networks, and GA Method
Autorzy:
Chang, Y.-C.
Cheng, H.-C.
Chiu, M.-C.
Chien, Y.-H.
Powiązania:
https://bibliotekanauki.pl/articles/177780.pdf
Data publikacji:
2016
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
boundary element method
plenum
centre-opening baffle
polynomial neural network model
group method of data handling
optimisation
genetic algorithm
Opis:
Research on plenums partitioned with multiple baffles in the industrial field has been exhaustive. Most researchers have explored noise reduction effects based on the transfer matrix method and the boundary element method. However, maximum noise reduction of a plenum within a constrained space, which frequently occurs in engineering problems, has been neglected. Therefore, the optimum design of multi-chamber plenums becomes essential. In this paper, two kinds of multi-chamber plenums (Case I: a two-chamber plenum that is partitioned with a centre-opening baffle; Case II: a three-chamber plenum that is partitioned with two centre-opening baffles) within a fixed space are assessed. In order to speed up the assessment of optimal plenums hybridized with multiple partitioned baffles, a simplified objective function (OBJ) is established by linking the boundary element model (BEM, developed using SYSNOISE) with a polynomial neural network fit with a series of real data – input design data (baffle dimensions) and output data approximated by BEM data in advance. To assess optimal plenums, a genetic algorithm (GA) is applied. The results reveal that the maximum value of the transmission loss (TL) can be improved at the desired frequencies. Consequently, the algorithm proposed in this study can provide an efficient way to develop optimal multi-chamber plenums for industry.
Źródło:
Archives of Acoustics; 2016, 41, 1; 43-53
0137-5075
Pojawia się w:
Archives of Acoustics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Cascade Feed Forward Neural Network-based Model for Air Pollutants Evaluation of Single Monitoring Stations in Urban Areas
Autorzy:
Capizzi, G.
Lo Sciuto, G.
Monforte, P.
Napoli, C.
Powiązania:
https://bibliotekanauki.pl/articles/226736.pdf
Data publikacji:
2015
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
neural networks
Synthetic Aperture Radar (SAR)
mahalanobis distance
Opis:
In this paper, air pollutants concentrations for NO2, NO, NOx and PM10 in a single monitoring station are predicted using the data coming from other different monitoring stations located nearby. A cascade feed forward neural network based modeling is proposed. The main aim is to provide a methodology leading to the introduction of virtual monitoring station points consistent with the actual stations located in the city of Catania in Italy.
Źródło:
International Journal of Electronics and Telecommunications; 2015, 61, 4; 327-332
2300-1933
Pojawia się w:
International Journal of Electronics and Telecommunications
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:
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
Tytuł:
Fuel saving index assessment on driving behavior control system of prototype model using neural network
Autorzy:
Munahar, Suroto
Triwiyatno, Aris
Munadi, M.
Setiavan, Joga Dharma
Powiązania:
https://bibliotekanauki.pl/articles/2173934.pdf
Data publikacji:
2022
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
Fuel Saving Index
FSI
fuel consumption
stoichiometry
driving behaviour
neural network
wskaźnik oszczędności paliwa
zużycie paliwa
stechiometria
zachowanie podczas jazdy
sieć neuronowa
Opis:
Efficient fuel consumption in the world is essential in automotive technology development due to the increase in vehicle usage and the decrease in global oil production. Several studies have been conducted to increase fuel consumption savings, Fuel Cells (FCs), the application of alternative energy vehicles and the Engine Control Unit (ECU) system. FCs do not require oil energy to propel the vehicle, so this technology promises to reduce energy consumption and emissions. However, this research still leaves problems. FCs are susceptible to short circuit hazards, and ownership costs are very high. Alternative energy applications produce less power, less responsive acceleration, and insufficient energy sources to enter mass production. The ECU application still has an orientation toward achieving stoichiometry values, so the increase in fuel efficiency has the potential to be improved. Driving behavior is a variable that has a close relationship with fuel consumption efficiency. However, research on driving behavior is only studied for implementation in autonomous car-following technologies, safety systems, charging needs characteristic of electric vehicles, emission controls, and display images on invehicle information systems. Meanwhile, research on driving behavior as a control system to improve fuel efficiency has not been carried out. To that end, this study proposes the use of driving behavior for a newly designed control system to improve fuel efficiency. The control system in this research is a prototype model to be assessed using the Fuel Saving Index (FSI) analysis. An artificial neural network is used to help the recognition of driving behavior. The results showed that the newly designed control system was categorized on scale IV of FSI. On this scale, the power generated by the engine is quite optimal when it is in the eco-scheme driving behavior. The driving behavior control system can significantly improve the efficiency of fuel consumption. Air to Fuel Ratio (AFR) is achieved above the stoichiometric value.
Źródło:
Archives of Transport; 2022, 63, 3; 123--141
0866-9546
2300-8830
Pojawia się w:
Archives of Transport
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Model of the network physical layer for modern wireless systems
Model warstwy fizycznej dla współczesnych sieci bezprzewodowych
Autorzy:
Wróbel, M.
Nowak, S.
Powiązania:
https://bibliotekanauki.pl/articles/375732.pdf
Data publikacji:
2011
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
DES
PHY model
wireless network simulation
SimPy
Opis:
In the article the detailed and flexible model of physical layer PHY for discrete events simulations (DES) is proposed. The model was implemented using SimPy simulator and evaluated using simplified 802.11 protocol model. To proof the correctness of the model some results of selected 802.11 parameters verification are presented.
W artykule opisano szczegółowy i elastyczny model warstwy fizycznej (PHY) współczesnych sieci bezprzewodowych, opracowywany i adaptowany dla symulatorów zdarzeń dyskretnych (DES). Jednym z elementów które można opisać w modelu są zjawiska propagacji. Oprócz tego konstrukcja modelu podejmuje problem interferencji sygnałów, ale także zjawisk związanych z prędkościami węzłów (takich jak ef. Dopplera), budowy anten, umożliwia uwzględnienie takich zjawisk, które można opisać jako wpływające na amplitudę/fazę sygnału odbieranego (a więc np. shadowing, fading). Model został prototypowo zaimplementowany z wykorzystaniem symulatora SimPy. Ze względu na trudności w interpretowaniu wyników jedynie na poziomie warstwy fizycznej, implementacja została uzupełniona o uproszczony model podwarstwy MAC dla protokołów rodziny 802.11. Jednym z oczekiwanych i potwierdzonych eksperymentalnie rezultatów było wykazanie poprawności przyjętych parametrów i mechanizmów protokołu 802.11 w stosunku do jego prostych modyfikacji. W sposób pośredni pokazuje to prawidłowość przyjętego modelu i stanowi podstawę do podjęcia dalszych prac. Opisane prace są częścią przygotowań, których celem jest stworzenie dokładnego i efektywnego symulatora dużych sieci (w tym domen bezprzewodowych) działającego w sposób równoległy. W tym celu konieczne jest opracowanie elastycznego, modularnego modelu warstwy fizycznej. Dalsze planowane prace obejmują analizę wydajnościowąmodułów modelu, weryfikację poprawności w testowym środowisku laboratoryjnym oraz docelowo implementację i testy symulatora równoległego.
Źródło:
Theoretical and Applied Informatics; 2011, 23, 2; 147-159
1896-5334
Pojawia się w:
Theoretical and Applied Informatics
Dostawca treści:
Biblioteka Nauki
Artykuł
Wyświetlanie 1-15 z 50

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