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Tytuł:
Analysis of the performance of an aircraft powered by hybrid propulsion
Autorzy:
Majka, Andrzej
Muszyńska-Pałys, Jagoda
Powiązania:
https://bibliotekanauki.pl/articles/24202466.pdf
Data publikacji:
2023
Wydawca:
Polskie Towarzystwo Naukowe Silników Spalinowych
Tematy:
air transport
hybrid power unit
electric aircraft
Small Air Transport
SAT
aircraft emission
transport lotniczy
jednostka napędu hybrydowego
samolot elektryczny
emisja lotnicza
Opis:
Travel is an inseparable part of human life. It is connected not only with private life but also with business life. People want to travel more, farther and faster. That is why air transport is currently one of the fastest-growing areas of passenger transport, and airlines carry more and more passengers from year to year. Due to the growing negative impact of air transport on the natural environment, research aimed at the development of technologies to reduce the negative impact of air transport is becoming more and more important. One of the possibilities for improving the situation is the use of alternative energy sources, limiting the emission of greenhouse gases into the atmosphere. The paper aimed to analyze the meaningfulness of replacing the classic power unit in a light transport aircraft with a hybrid, combustion-electric power unit. Analyzes were made with the use of simulation methods for the PZL M-28 aircraft.
Źródło:
Combustion Engines; 2023, 62, 2; 45--51
2300-9896
2658-1442
Pojawia się w:
Combustion Engines
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Assessing telecommunication contractor firms using a hybrid DEA-BWM method
Autorzy:
Valizadeh, Omid
Ghiyasi, Mojtaba
Powiązania:
https://bibliotekanauki.pl/articles/29432383.pdf
Data publikacji:
2023
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:
performance assessment
data envelopment analysis
best worst method
telecommunication contractor firm
Opis:
Telecommunication companies have an important role in technology development, so evaluating the performance of these companies has been an interest of managers. This article uses a hybrid method using data envelopment analysis (DEA) and the best-worst method (BWM) to measure the performance of communication companies. The hybrid DEA-BWM method is used for the weight determination and performance assessment of 17 telecommunication contractor firms in the Khorsan Razavi province of Iran. We considered four inputs: gross losses, sales cost, legal reserve, and fixed assets. On the other side, three outputs including operation income, operation profit, and retained earnings are considered as outputs. Considering the input-output parameters and using the hybrid method by seven selected criteria, we rank all contractor firms. We found that the BPM firm has the best performance while and GKS firm is found as the firm with the weakest performance. Compared with the classical DEA methods, we found more reliable results with higher discrimination power, using the hybrid DEA-BWM.
Źródło:
Operations Research and Decisions; 2023, 33, 4; 189--200
2081-8858
2391-6060
Pojawia się w:
Operations Research and Decisions
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Design of Hybrid Yarn with the Combination of Fiber and Filaments and Its Effect on the Denim Fabric Performance
Autorzy:
Babaarslan, Osman
Shahid, Md Abul
Doğan, Fatma B.
Powiązania:
https://bibliotekanauki.pl/articles/24200938.pdf
Data publikacji:
2023
Wydawca:
Sieć Badawcza Łukasiewicz - Instytut Biopolimerów i Włókien Chemicznych
Tematy:
dual core-spun yarn
elastane
filament yarn
yarn properties
denim fabric performance
Opis:
Consumer choice and behavior are changing and focusing on comfortable clothing along with fitting. Elastic yarn or fabric is necessary to achieve this comfortableness. By making elastic yarn and using elastic material in fabric production, elastic cloths are produced with proper stretchability and recovery. For that, core-spun yarn was used, but due to a lack of recovery performance, dual core-spun yarn has been developed. Different elastane ratios, linear density, and filaments were used in the dual core-spun yarn according to achieve desired stretchability. In this study, denim fabric performances were evaluated by designing different composite/hybrid dual core-spun yarn with a combination of cotton fiber and filaments. Different elastane linear densities with different filaments, PET/PTT, PTT, and PET, were used, and it was found that using finer elastane in dual core-spun yarn, strength, and unevenness are increased, and elongation decreased. Using PET/PTT filament increases hairiness, and using PTT filament increases elongation. For fabrics, coarser elastane in the dual core-spun yarns has higher stiffness, elasticity, and shrinkage. Fabric with PTT showed higher weight change and stiffness, whereas PET filament-based fabric samples have good strength and low stiffness. In addition, a multiple regression analysis was carried out for yarn and fabric properties, and mathematical models were developed.
Źródło:
Fibres & Textiles in Eastern Europe; 2023, 31, 1; 25--37
1230-3666
2300-7354
Pojawia się w:
Fibres & Textiles in Eastern Europe
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Enhancing the performance of deep learning technique by combining with gradient boosting in rainfall-runoff simulation
Autorzy:
Abdullaeva, Barno S.
Powiązania:
https://bibliotekanauki.pl/articles/28411647.pdf
Data publikacji:
2023
Wydawca:
Instytut Technologiczno-Przyrodniczy
Tematy:
deep learning
gradient boosting
hybrid model
multi-step ahead forecasting
rainfall-runoff simulation
Opis:
Artificial neural networks are widely employed as data mining methods by researchers across various fields, including rainfall-runoff (R-R) statistical modelling. To enhance the performance of these networks, deep learning (DL) neural networks have been developed to improve modelling accuracy. The present study aims to improve the effectiveness of DL networks in enhancing the performance of artificial neural networks via merging with the gradient boosting (GB) technique for daily runoff data forecasting in the river Amu Darya, Uzbekistan. The obtained results showed that the new hybrid proposed model performed exceptionally well, achieving a 16.67% improvement in determination coefficient (R2) and a 23.18% reduction in root mean square error (RMSE) during the training phase compared to the single DL model. Moreover, during the verification phase, the hybrid model displayed remarkable performance, demonstrating a 66.67% increase in R2 and a 50% reduction in RMSE. Furthermore, the hybrid model outperformed the single GB model by a significant margin. During the training phase, the new model showed an 18.18% increase in R2 and a 25% reduction in RMSE. In the verification phase, it improved by an impressive 75% in R2 and a 33.33% reduction in RMSE compared to the single GB model. These findings highlight the potential of the hybrid DL-GB model in improving daily runoff data forecasting in the challenging hydrological context of the Amu Darya River basin in Uzbekistan.
Źródło:
Journal of Water and Land Development; 2023, 59; 216--223
1429-7426
2083-4535
Pojawia się w:
Journal of Water and Land Development
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Flexural performance of hybrid fiber reinforced cement-based materials incorporating ceramic wastes
Autorzy:
Wu, Lipeng
Li, Xuanhao
Deng, Hai
Powiązania:
https://bibliotekanauki.pl/articles/27312153.pdf
Data publikacji:
2023
Wydawca:
Polska Akademia Nauk. Czasopisma i Monografie PAN
Tematy:
materiał cementowy
odpad ceramiczny
wydajność mechaniczna
włókno polialkoholu winylowego
włókno stalowe
cement based material
ceramic waste
mechanical performance
polyvinyl alcohol fiber
steel fiber
Opis:
Ceramic waste generated by demolition and manufacturing processes is a kind of widely discharged solid waste; its sustainable use can reduce resource extraction, energy consumption, and carbon emissions, thereby reducing the environmental impact. In this study, ceramic powder and ceramic sand were prepared using waste ceramic wall tiles. By using three water-to-binder ratios of 0.30, 0.32, and 0.34, five ceramic powder replacement rates of 10% to 50%, and completely using ceramic sand as the fine aggregate, specimens with large differences in mechanical properties were prepared. Firstly, the compressive strength was investigated. On this basis, hybrid fibers were employed to strengthen the new matrix material, and its bending resistance was experimentally studied. It was found that the incorporation of ceramic powder reduced the compressive strength of the matrix. The water-binder ratio significantly affects compressive strength at an early age. The effect of PVA fiber on improving the ductility of the new composite is distinct. Increasing the amount of steel fiber can effectively enhance the bending bearing capacity.With a ceramic powder dosage of 50%, the new composite has shown ductile failure characteristics, even with low total fiber content. The bending properties of this new composite material, which makes extensive use of ceramic waste, are well adjustable. The bearing capacity and ductility balance can be achieved with the steel fiber content of 1% and the PVA fiber content of 1.2% to 1.50%.
Źródło:
Archives of Civil Engineering; 2023, 69, 3; 491--506
1230-2945
Pojawia się w:
Archives of Civil Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Improving security performance of healthcare data in the Internet of medical things using a hybrid metaheuristic model
Autorzy:
Ashok, Kanneboina
Gopikrishnan, Sundaram
Powiązania:
https://bibliotekanauki.pl/articles/24866906.pdf
Data publikacji:
2023
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
medical information system
Internet of things
electronic medical record
information security
metaheuristic optimization
quality of service
system informacji medycznej
Internet rzeczy
elektroniczna dokumentacja medyczna
bezpieczeństwo informacji
optymalizacja metaheurystyczna
jakość usługi
Opis:
Internet of medical things (IoMT) network design integrates multiple healthcare devices to improve patient monitoring and real-time care operations. These networks use a wide range of devices to make critical patient care decisions. Thus, researchers have deployed multiple high-security frameworks with encryption, hashing, privacy preservation, attribute based access control, and more to secure these devices and networks. However, real-time monitoring security models are either complex or unreconfigurable. The existing models’ security depends on their internal configuration, which is rarely extensible for new attacks. This paper introduces a hybrid metaheuristic model to improve healthcare IoT security performance. The blockchain based model can be dynamically reconfigured by changing its encryption and hashing standards. The proposed model then continuously optimizes blockchain based IoMT deployment security and QoS performance using elephant herding optimization (EHO) and grey wolf optimization (GWO). Dual fitness functions improve security and QoS for multiple attack types in the proposed model. These fitness functions help reconfigure encryption and hashing parameters to improve performance under different attack configurations. The hybrid integration of EH and GW optimization models can tune blockchain based deployment for dynamic attack scenarios, making it scalable and useful for real-time scenarios. The model is tested under masquerading, Sybil, man-in-the-middle, and DDoS attacks and is compared with state-of-the-art models. The proposed model has 8.3% faster attack detection and mitigation, 5.9% better throughput, a 6.5% higher packet delivery ratio, and 10.3% better network consistency under attack scenarios. This performance enables real-time healthcare use cases for the proposed model.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2023, 33, 4; 623--636
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Performance investigation of hybrid photovoltaic thermal-heat with mini-channels for application in electric vehicles
Autorzy:
Strąk, Dariusz
Powiązania:
https://bibliotekanauki.pl/articles/24200857.pdf
Data publikacji:
2023
Wydawca:
Sieć Badawcza Łukasiewicz. Przemysłowy Instytut Motoryzacji
Tematy:
mini-channels
numerical simulations
one-dimensional model
autonomous car system with PVT
vehicle battery heat exchanger
Opis:
The first autonomous car was developed in the 1980s, but it wasn't until the early 2010s that the technology began to gain significant attention and investment. In 2010, Google began testing self-driving cars on public roads, and since then, many other companies have joined the race to develop fully autonomous vehicles. Hybrid PVT (Photovoltaic Thermal) heat exchangers cooled with mini-channels find application in autonomous vehicles as a solution that enables efficient cooling of the vehicle's electronics and batteries. The solution involves using photovoltaic panels to generate electricity and removing the heat produced during the process using mini-channels is removed by mini-channels. Hybrid PVT heat exchangers cooled with mini-channels can help maintain appropriate temperatures inside autonomous vehicles that generate large amounts of heat from electronic systems and sensors. The setup can improve the performance and reliability of autonomous systems, increase energy efficiency, and reduce energy demands. The experimental setup includes two parallel mini-channel systems separated by a smooth copper plate. The study aims to determine local heat-transfer coefficients, with a cooled solar cell efficiency range of 10% to 14% compared to other research. The cooled PV temperature range achieved was from 19.6 to 22.4 degrees Celsius, which is favorable for photovoltaic panels' operation under approximate light intensity for Poland's latitude. Heat-transfer from hot surfaces to cold fluids is analyzed during single-phase convection using two calculation methods: one-dimensional and numerical simulations using Simcenter STAR CCM+. Cooling photovoltaic modules is critical for the photovoltaic and autonomous vehicle systems sector, making this research significant both theoretically and practically. The research and methods presented in the article on mini-channel cooling of photovoltaic systems and autonomous vehicle systems are innovative at a global scale, and are crucial for further development of sustainable energy systems and reduction of greenhouse gas emissions.
Źródło:
Archiwum Motoryzacji; 2023, 100, 2; 5--30
1234-754X
2084-476X
Pojawia się w:
Archiwum Motoryzacji
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Synergistic performance degradation of marine structural elements: case study of polymer-based composite and steel hybrid double lap joint
Autorzy:
Baykal, Halis Haluk
Neser, Gokdeniz
Powiązania:
https://bibliotekanauki.pl/articles/34605780.pdf
Data publikacji:
2023
Wydawca:
Politechnika Gdańska. Wydział Inżynierii Mechanicznej i Okrętownictwa
Tematy:
wet-dry cycle
double lap joint
polymer composite-steel joints
surface roughness
aging in marine environment
Opis:
The degradation of structures under the influence of a marine environment tends to be rapid and disruptive compared to that of structures that are far away from these influences. Efforts to consider these impacts in the design phase are increasing, with a view to the construction of more sustainable structures. However, experimental data from which designers and builders can benefit cannot be found in the relevant literature, especially when it comes to the effects of composite degradation. In this study, we experimentally investigate the combined effects of degradation factors such as a drying-wetting cycle, the shape of the structure, the variety of materials used in the structure, and the differences in the manufacturing of the materials . The structure chosen as an example is a hybrid structural double lap joint composed of epoxy resin, fibreglass composite, and steel, which is widely used in ship structures. The experiments considered four aging periods (zero, 30, 60 and 90 days) under a wet-dry cycle in a programmable corrosion chamber, two overlap lengths (short and long), two surface roughnesses of the steel parts (50 and 90 μm), and two surface preparation alternatives (uncoated and coated with epoxy primer). The synergistic effects of these parameters on the tensile strength, deformation and toughness of the joints were evaluated, and suggestions are made for ship designers. The attention of interested parties, and particularly ship designers, is drawn to the comparative effects of these degradation agents on performance.
Źródło:
Polish Maritime Research; 2023, 3; 111-118
1233-2585
Pojawia się w:
Polish Maritime Research
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Performance analysis between a hybrid force/position and conventional controllers for a wrist exoskeleton
Autorzy:
Avilés, Valeria
Avilés, Oscar F.
Aponte, Jorge
Caldas, Oscar I.
Mauledoux, Mauricio F.
Powiązania:
https://bibliotekanauki.pl/articles/2134891.pdf
Data publikacji:
2022
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
exoskeleton
hybrid control
force
performance
position
Opis:
This study analyses the performances of various path controlling strategies for a 3-degrees of freedom wrist exoskeleton, by comparing key indicators, such as rise time, steady-state error, and implementation difficulty. A model was built to describe both system’s kinematics and dynamics, as well as 3 different controllers (PID, PD+, and a hybrid force/position controller) that were designed to allow each joint to perform smooth motions within anatomic ranges. The corresponding simulation was run and assessed via Matlab (version 2020a). In addition to the performance comparison, remarkable characteristics could be identified among controllers. PD+ showed higher response speed than the other controllers (about 4 times), and PID was reinforced as the technique with the easiest implementation due to the smallest matrices. The study also allowed to greater potential of the hybrid controller to interact with its environment, i.e., the robotic device.
Źródło:
Archives of Control Sciences; 2022, 32, 2; 409--427
1230-2384
Pojawia się w:
Archives of Control Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Porównanie technologii hybrydowych i natywnych do wytwarzania aplikacji mobilnych iOS
Comparison of hybrid and native iOS mobile application development technologies
Autorzy:
Kocki, Michał
Urban, Michał
Kopniak, Piotr
Powiązania:
https://bibliotekanauki.pl/articles/24083477.pdf
Data publikacji:
2022
Wydawca:
Politechnika Lubelska. Instytut Informatyki
Tematy:
iOS
technologie natywne
technologie hybrydowe
wydajność
native technologies
hybrid technologies
performance
Opis:
Aplikacje mobilne dedykowane na system operacyjny iOS mogą być wytwarzane natywnie bądź hybrydowo. Tematyką artykułu jest porównanie tych technologii na przykładzie utworzonej aplikacji mobilnej. Zbadana została wydajność obu technologii na przykładzie dwóch urządzeń testowych i smartfona posiadającego system iOS. Biorąc pod uwagę analizę wydajności, został zbadany czas kompilacji aplikacji, odczyt i zapis danych z bazy danych w chmurze, a także czas sortowania odczytanych danych. Na urządzeniach testowych sprawdzono jak bardzo wytworzone aplikacje obciążają system. Otrzymane wyniki potwierdzają, że wytwarzanie aplikacji mobilnej w technologii natywnej jest wydajniejsze.
Mobile applications dedicated to iOS can be developed natively or hybrid. The subject of this paper is to compare these technologies on the example of a created mobile application. The performance of both technologies, the structure of projects, as well as resource consumption on the example of four smartphones operating under iOS, has been examined. Considering the performance analysis, the compilation time of the application, reading and writing data from the cloud database, as well as the time of sorting the read data was examined. On the test devices, it was checked how intense is the use of the system. The obtained results confirm that producing a mobile application in native technology is more performance efficient.
Źródło:
Journal of Computer Sciences Institute; 2022, 25; 280--287
2544-0764
Pojawia się w:
Journal of Computer Sciences Institute
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
An enhanced performance evaluation of workflow computing and scheduling using hybrid classification approach in the cloud environment
Autorzy:
Tharani, P.
Kalpana, A. M.
Powiązania:
https://bibliotekanauki.pl/articles/2086824.pdf
Data publikacji:
2021
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
cloud
workflow scheduling
machine learning
CNN
AlexNet
chmura
planowanie przepływu pracy
nauczanie maszynowe
Opis:
Workflow scheduling is the major problem in cloud computing consists of a set of interdependent tasks which is used to solve the various scientific and healthcare issues. In this research work, the cloud based workflow scheduling between different tasks in medical imaging datasets using Machine Learning (ML) and Deep Learning (DL) methods (hybrid classification approach) is proposed for healthcare applications. The main objective of this research work is to develop a system which is used for both workflow computing and scheduling in order to minimize the makespan, execution cost and to segment the cancer region in the classified abnormal images. The workflow computing is performed using different Machine Learning classifiers and the workflow scheduling is carried out using Deep Learning algorithm. The conventional AlexNet Convolutional Neural Networks (CNN) architecture is modified and used for workflow scheduling between different tasks in order to improve the accuracy level. The AlexNet architecture is analyzed and tested on different cloud services Amazon Elastic Compute Cloud- EC2 and Amazon Lightsail with respect to Makespan (MS) and Execution Cost (EC).
Źródło:
Bulletin of the Polish Academy of Sciences. Technical Sciences; 2021, 69, 4; e137728, 1--9
0239-7528
Pojawia się w:
Bulletin of the Polish Academy of Sciences. Technical Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Nonlinear PID controller parameter optimization using modified hybrid artificial bee colony algorithm for continuous stirred tank reactor
Autorzy:
Pugazhenthi, Nedumal
Selvaperumal, S.
Vijayakumar, K.
Powiązania:
https://bibliotekanauki.pl/articles/2128163.pdf
Data publikacji:
2021
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
artificial bee colony
stirred tank reactor
genetic algorithm
nonlinear PID
controller performance measures
sztuczna kolonia pszczół
reaktor zbiornikowy z mieszadłem
algorytm genetyczny
PID nieliniowy
miernik wydajności kontrolera
Opis:
The artificial bee colony (ABC) algorithm is well known and widely used optimization method based on swarm intelligence, and it is inspired by the behavior of honeybees searching for a high amount of nectar from the flower. However, this algorithm has not been exploited sufficiently. This research paper proposes a novel method to analyze the exploration and exploitation of ABC. In ABC, the scout bee searches for a source of random food for exploitation. Along with random search, the scout bee is guided by a modified genetic algorithm approach to locate a food source with a high nectar value. The proposed algorithm is applied for the design of a nonlinear controller for a continuously stirred tank reactor (CSTR). The statistical analysis of the results confirms that the proposed modified hybrid artificial bee colony (HMABC) achieves consistently better performance than the traditional ABC algorithm. The results are compared with conventional ABC and nonlinear PID (NLPID) to show the superiority of the proposed algorithm. The performance of the HMABC algorithm-based controller is competitive with other state-of-the-art meta-heuristic algorithm-based controllers in the literature.
Źródło:
Bulletin of the Polish Academy of Sciences. Technical Sciences; 2021, 69, 3; e137348, 1--10
0239-7528
Pojawia się w:
Bulletin of the Polish Academy of Sciences. Technical Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Nonlinear PID controller parameter optimization using modified hybrid artificial bee colony algorithm for continuous stirred tank reactor
Autorzy:
Pugazhenthi, Nedumal
Selvaperumal, S.
Vijayakumar, K.
Powiązania:
https://bibliotekanauki.pl/articles/2173628.pdf
Data publikacji:
2021
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
artificial bee colony
stirred tank reactor
genetic algorithm
nonlinear PID
controller performance measures
sztuczna kolonia pszczół
reaktor zbiornikowy z mieszadłem
algorytm genetyczny
PID nieliniowy
miernik wydajności kontrolera
Opis:
The artificial bee colony (ABC) algorithm is well known and widely used optimization method based on swarm intelligence, and it is inspired by the behavior of honeybees searching for a high amount of nectar from the flower. However, this algorithm has not been exploited sufficiently. This research paper proposes a novel method to analyze the exploration and exploitation of ABC. In ABC, the scout bee searches for a source of random food for exploitation. Along with random search, the scout bee is guided by a modified genetic algorithm approach to locate a food source with a high nectar value. The proposed algorithm is applied for the design of a nonlinear controller for a continuously stirred tank reactor (CSTR). The statistical analysis of the results confirms that the proposed modified hybrid artificial bee colony (HMABC) achieves consistently better performance than the traditional ABC algorithm. The results are compared with conventional ABC and nonlinear PID (NLPID) to show the superiority of the proposed algorithm. The performance of the HMABC algorithm-based controller is competitive with other state-of-the-art meta-heuristic algorithm-based controllers in the literature.
Źródło:
Bulletin of the Polish Academy of Sciences. Technical Sciences; 2021, 69, 3; art. no. e137348
0239-7528
Pojawia się w:
Bulletin of the Polish Academy of Sciences. Technical Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Performance analysis of rough set–based hybrid classification systems in the case of missing values
Autorzy:
Nowicki, Robert K.
Seliga, Robert
Żelasko, Dariusz
Hayashi, Yoichi
Powiązania:
https://bibliotekanauki.pl/articles/2031102.pdf
Data publikacji:
2021
Wydawca:
Społeczna Akademia Nauk w Łodzi. Polskie Towarzystwo Sieci Neuronowych
Tematy:
rough sets
support vector machine
fuzzy system
neural networks
Opis:
The paper presents a performance analysis of a selected few rough set–based classification systems. They are hybrid solutions designed to process information with missing values. Rough set-–based classification systems combine various classification methods, such as support vector machines, k–nearest neighbour, fuzzy systems, and neural networks with the rough set theory. When all input values take the form of real numbers, and they are available, the structure of the classifier returns to a non–rough set version. The performance of the four systems has been analysed based on the classification results obtained for benchmark databases downloaded from the machine learning repository of the University of California at Irvine.
Źródło:
Journal of Artificial Intelligence and Soft Computing Research; 2021, 11, 4; 307-318
2083-2567
2449-6499
Pojawia się w:
Journal of Artificial Intelligence and Soft Computing Research
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Thermal efficiency and hydraulic performance evaluation on Ag–Al2O3 and SiC–Al2O3 hybrid nanofluid for circular jet impingement
Autorzy:
Datta, Abanti
Halder, Pabitra
Powiązania:
https://bibliotekanauki.pl/articles/1845498.pdf
Data publikacji:
2021
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
hybrid nanofluid
thermal performance factor
pumping power
merit number
Opis:
Hybrid nanofluids is obtained by dispersing more than one nanoparticle into a base fluid. The work is concerned with a detailed numerical investigation of the thermal efficiency and hydraulic performance of hybrid nanofluids for circular jet impinges on a round plate. For this paper, a metal (Ag), a metal oxides (Al2O3) and a metal carbides (SiC) nanoparticle and their water based hybrid nanofluids are considered to analyse numerically with varying significant dimensionless parameters, i.e., the jet-to-plate spacing ratio, Reynolds number and volume fraction of nanoparticles. The results demonstrated that the efficiency of heat transfer of all nanofluids is increased by the addition of nanoparticle to the dispersed in water at constant Reynolds number. Moreover, the results illustrate that heat transfer efficacy and pumping power penalty both increased as jet-to-plate spacing ratio reduced. The jet-to-plate spacing ratio equal to 4 is the best as the percentage enhance heat transfer is maximum in this situation. Since both the heat transfer effect and pumping penalty increase using hybrid nanofluids, thermal performance factor increases or decreases depends on nanoparticles of nanofluids. It is evident that the analysis of these hybrid nanofluids will consider both the increase in heat efficiency and the pumping capacity. The best flow behaviour is achieved for SiC–Al2O3 hybrid nanofluids. New merit number is introduced for additional clarification.
Źródło:
Archives of Thermodynamics; 2021, 42, 1; 163-182
1231-0956
2083-6023
Pojawia się w:
Archives of Thermodynamics
Dostawca treści:
Biblioteka Nauki
Artykuł
Wyświetlanie 1-15 z 55

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