Wszystkie pola: hybrid modeling - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Hybrid modeling in CAD
Autorzy:: Wypysiński, R.
Powiązania:: https://bibliotekanauki.pl/articles/132136.pdf
Data publikacji:: 2015
Wydawca:: Stowarzyszenie Inżynierów i Techników Mechaników Polskich
Tematy:: hybrid modelling
CAD
solid-surface modeling
Opis:: Computer aided 3D modeling is rapidly growing field of techniques. Various modeling techniques are continuously developed and improved – but hybrid modeling as combination of the best features seems to be worthy of interest. This article describe main principle of full hybrid modeling with examples of practical applications.
Źródło:: Advanced Technologies in Mechanics; 2015, 2, no. 1 (2); 15-22
2392-0327
Pojawia się w:: Advanced Technologies in Mechanics
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Hybrid Modeling Methods of Cranial Implants
Autorzy:: Wyleżoł, Marek
Powiązania:: https://bibliotekanauki.pl/articles/102702.pdf
Data publikacji:: 2018
Wydawca:: Stowarzyszenie Inżynierów i Techników Mechaników Polskich
Tematy:: cranial implant
voxel
haptic modeling
CATIA v5
ClayTools
implant czaszki
woksel
modelowanie haptyczne
Opis:: This article deals with a three hybrid modeling methods of virtual skull implants, developed by the author. 3D models of cranial implants are nowadays necessary for the creation of real implants using modern manufacturing technologies. These methods combine simultaneous usage of three modeling systems (which causes their hybridity): computer tomography system (as a reverse engineering system), surface modeling system and haptic modeling system, and their characteristic modeling methods and techniques. Whereby to commonly used three different modeling systems we have obtained a synergic effect of the implant shape model quality increasing. The result of using the developed hybrid methods are models of exemplary cranial implants. The common feature of these methods is that the target virtual model of the cranial implant is always well-suited the coastline of bone hole in the skull. The time of developed of the virtual model of any cranial implant using proposed methods is very shorter compared to use only one of the standard (not medically specialized) computer-aided systems. Similarly, the amount of modeling work is also much smaller than using only one standard 3D system. The article describes hybrid modeling methods developed by the author only.
Źródło:: Advances in Science and Technology. Research Journal; 2018, 12, 4; 35-47
2299-8624
Pojawia się w:: Advances in Science and Technology. Research Journal
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

Tytuł:: Research on speed control of high speed trains based on hybrid modeling
Autorzy:: Hou, Tao
Tang, Li.
Niu, Hong-xia
Zhao, Tingyang
Powiązania:: https://bibliotekanauki.pl/articles/27311802.pdf
Data publikacji:: 2023
Wydawca:: Polska Akademia Nauk. Czasopisma i Monografie PAN
Tematy:: high-speed train
hybrid modeling
speed control
error compensation
pociąg ekspresowy
modelowanie hybrydowe
kontrola prędkości
kompensacja błędów
Opis:: With the continuous improvement of train speed, the automatic driving of trains instead of driver driving has become the development direction of rail transit in order to realize traffic automation. The application of single modeling methods for speed control in the automatic operation of high-speed trains lacks exploration of the combination of train operation data information and physical model, resulting in low system modeling accuracy, which impacts the effectiveness of speed control and the operation of high-speed trains. To further increase the dynamic modeling accuracy of high-speed train operation and the high-speed train's speed control effect, a high-speed train speed control method based on hybrid modeling of mechanism and data drive is put forward. Firstly, a model of the high-speed train's mechanism was created by analyzing the train's dynamics. Secondly, the improved kernel-principal component regression algorithm was used to create a data-driven model using the actual operation data of the CRH3 (China Railway High-speed 3) high-speed train from Huashan North Railway Station to Xi'an North Railway Station of "Zhengxi High-speed Railway," completing the mechanism model compensation and the error correction of the speed of the actual operation process of the high-speed train, and realizing the hybrid modeling of mechanism and data-driven. Finally, the prediction Fuzzy PID control algorithm was developed based on the natural line and train characteristics to complete the train speed control simulation under the hybrid model and the mechanism model, respectively. In addition, analysis and comparison analysis were conducted. The results indicate that, compared to the high-speed train speed control based on the mechanism model, the high-speed train speed control based on hybrid modeling is more accurate, with an average speed control error reduced by 69.42%. This can effectively reduce the speed control error, improve the speed control effect and operation efficiency, and demonstrate the efficacy of the hybrid modeling and algorithm. The research results can provide a new ideal of multi-model fusion modeling for the dynamic modeling of high-speed train operation, further improve control objectives such as safety, comfort, and efficiency of high-speed train operation, and provide a reference for automatic driving and intelligent driving of high-speed trains.
Źródło:: Archives of Transport; 2023, 66, 2; 77--82
0866-9546
2300-8830
Pojawia się w:: Archives of Transport
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 4.

Tytuł:: Research on hybrid modeling and predictive energy management for power split hybrid electric vehicle
Autorzy:: Wang, Shaohua
Zhang, Sheng
Shi, Dehua
Sun, Xiaoqiang
Yang, Tao
Powiązania:: https://bibliotekanauki.pl/articles/2173576.pdf
Data publikacji:: 2021
Wydawca:: Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:: power split HEV
energy management
mixed logical dynamical model
piecewise affine
model predictive control
podział mocy
zarządzanie energią
silnik hybrydowy
model dynamiczny
model mieszany
model logiczny
technologia fragmentarycznie pokrewna
kontrola predykcyjna modelu
Opis:: Due to the coexistence of continuity and discreteness, energy management of a multi-mode power split hybrid electric vehicle (HEV) can be considered a typical hybrid system. Therefore, the hybrid system theory is applied to investigate the optimum energy distribution strategy of a power split multi-mode HEV. In order to obtain a unified description of the continuous/discrete dynamics, including both the steady power distribution process and mode switching behaviors, mixed logical dynamical (MLD) modeling is adopted to build the control-oriented model. Moreover, linear piecewise affine (PWA) technology is applied to deal with nonlinear characteristics in MLD modeling. The MLD model is finally obtained through a high level modeling language, i.e. HYSDEL. Based on the MLD model, hybrid model predictive control (HMPC) strategy is proposed, where a mixed integer quadratic programming (MIQP) problem is constructed for optimum power distribution. Simulation studies under different driving cycles demonstrate that the proposed control strategy can have a superior control effect as compared with the rule-based control strategy.
Źródło:: Bulletin of the Polish Academy of Sciences. Technical Sciences; 2021, 69, 3; art. no. e137064
0239-7528
Pojawia się w:: Bulletin of the Polish Academy of Sciences. Technical Sciences
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 5.

Tytuł:: Research on hybrid modeling and predictive energy management for power split hybrid electric vehicle
Autorzy:: Wang, Shaohua
Zhang, Sheng
Shi, Dehua
Sun, Xiaoqiang
Yang, Tao
Powiązania:: https://bibliotekanauki.pl/articles/2128153.pdf
Data publikacji:: 2021
Wydawca:: Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:: power split HEV
energy management
mixed logical dynamical model
piecewise affine
model predictive control
podział mocy
zarządzanie energią
silnik hybrydowy
model dynamiczny
model mieszany
model logiczny
technologia fragmentarycznie pokrewna
kontrola predykcyjna modelu
Opis:: Due to the coexistence of continuity and discreteness, energy management of a multi-mode power split hybrid electric vehicle (HEV) can be considered a typical hybrid system. Therefore, the hybrid system theory is applied to investigate the optimum energy distribution strategy of a power split multi-mode HEV. In order to obtain a unified description of the continuous/discrete dynamics, including both the steady power distribution process and mode switching behaviors, mixed logical dynamical (MLD) modeling is adopted to build the control-oriented model. Moreover, linear piecewise affine (PWA) technology is applied to deal with nonlinear characteristics in MLD modeling. The MLD model is finally obtained through a high level modeling language, i.e. HYSDEL. Based on the MLD model, hybrid model predictive control (HMPC) strategy is proposed, where a mixed integer quadratic programming (MIQP) problem is constructed for optimum power distribution. Simulation studies under different driving cycles demonstrate that the proposed control strategy can have a superior control effect as compared with the rule-based control strategy.
Źródło:: Bulletin of the Polish Academy of Sciences. Technical Sciences; 2021, 69, 3; e137064, 1--15
0239-7528
Pojawia się w:: Bulletin of the Polish Academy of Sciences. Technical Sciences
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 6.

Tytuł:: Możliwe struktury systemów hybrydowych w przetwarzaniu informacji nieprecyzyjnych dla rozwiązywania wieloaspektowych problemów optymalnego zużycia wody do nawadniania roślin
Possible structures for hybrid systems in processing imprecise information for solving multifaceted problems in the optimal use of water for plants irrigation
Autorzy:: Baranowska, E.
Powiązania:: https://bibliotekanauki.pl/articles/336189.pdf
Data publikacji:: 2012
Wydawca:: Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Maszyn Rolniczych
Tematy:: nawadnianie roślin
modelowanie hybrydowe
przetwarzanie informacji
irrigation scheduling
hybrid modeling
information processing
Opis:: Dążenie ludzi nauki do uzyskania coraz większego uproszczenia struktury modeli, a jednocześnie do coraz większej dokładności i wymiarowości, przynosi rezultaty w postaci tworzenia nowych modeli. Modelowanie ma zasadnicze znaczenie w działalności naukowej i inżynierskiej. Efektywne funkcjonowanie istniejących systemów nawadniania zależy od dokładności i precyzji modelowania. Przedsięwzięcie wielokierunkowe, jakim jest proces modelowania dla potrzeb inżynierii rolniczej wymaga połączenia wiedzy z różnych dyscyplin przyrodniczych: agrometeorologii, agrofizyki, gleboznawstwa, fizjologii roślin, uprawy roślin i wielu innych. Także wymaga interdyscyplinarnych zespołów badawczych. Wiodącym czynnikiem podnoszącym efektywność modelowania jest implementacja do istniejących modeli symulacyjnych pozyskanych za pomocą odpowiednich technik informacji. Ma to na celu minimalizację błędów symulacji. W pracy przedstawiono poglądowy zarys systemów hybrydowych.
The desire of scientists to obtain an ever increasing simplification of the structure of models, whilst increasing the accuracy and dimensionality results in the creation of new models. Modeling is crucial in research and engineering. The efficient functioning of the existing irrigation systems depends on modeling accuracy and precision. The project which is a multidirection modeling process for agricultural engineering purposes requires a combination of knowledge from different disciplines of natural sciences: agrometeorology, agrophysics, soil science, plant physiology, cultivation and many others also requires interdisciplinary research teams. The leading factor in increasing the efficiency of modeling is to implement the existing simulation models obtained using the corresponding techniques of information. The aim is to minimize the minimize the errors of the simulation. The paper presents a pictorial overview of hybrid systems.
Źródło:: Journal of Research and Applications in Agricultural Engineering; 2012, 57, 1; 5-8
1642-686X
2719-423X
Pojawia się w:: Journal of Research and Applications in Agricultural Engineering
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 7.

Tytuł:: E-REV’s hybrid vehicle range modeling
Autorzy:: Polak, F.
Powiązania:: https://bibliotekanauki.pl/articles/245454.pdf
Data publikacji:: 2018
Wydawca:: Instytut Techniczny Wojsk Lotniczych
Tematy:: battery
simulation model
electric vehicle
E-REV
Opis:: Article presents the influence of battery capacity and electric generator power on a series hybrid vehicle range. Vehicles equipped with increased battery capacity and small power generator are special type of series hybrid vehicles called Extended Range Electric Vehicles – E-REV. The increasing number of hybrid and electric vehicles increases the demand for durable and efficient sources of energy storage for vehicles. The hybrid vehicle's battery driven range is increased as battery power density is increased and its cost is decreased. This is due to the battery cell cost decreasing and improvement of cell chemistry. That cause higher and higher distance driven on electric mode in hybrid vehicles. First series hybrid vehicle engine power was equal to engine powered the vehicle’s wheels. Nowadays, series hybrid vehicles are more electric vehicles with small power generator (piston or turbine engine. In such a constructions, battery is used as an energy buffer and combustion engine is used more as emergency power supply. To minimize this phenomenon, manufacturers use counteracting solutions that include mounting additional cells in the battery that are switched on when the battery controller identifies a particular battery cell’s failure or high degradation. This is due to the deep and shallow discharges of the battery, the numbers of charging and discharging cycles, and the age and technology of battery packs. AMESim software was used for the simulation of the E-REV hybrid vehicle range. The research was based on modelling the range of the vehicle with different battery capacity works with power generator of different power. By modelling different capacity of battery and power of small generator, it is possible to determine the vehicle range.
Źródło:: Journal of KONES; 2018, 25, 2; 281-286
1231-4005
2354-0133
Pojawia się w:: Journal of KONES
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 8.

Tytuł:: Hybrid system for modeling and optimization of production chain in metal forming
Autorzy:: Rauch, L.
Madej, L.
Pietrzyk, M.
Powiązania:: https://bibliotekanauki.pl/articles/1429405.pdf
Data publikacji:: 2008
Wydawca:: Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych
Tematy:: optimization
modelling
production chain
metal forming
Opis:: The paper presents design and implementation of the hybrid system, which is the part of investigation focused on application of multiscale modeling in simulation of real industrial processes. The hybrid system is dedicated to support production processes based on metal forming, by using artificial intelligence and optimization algorithms. The proposed system is based on the multilayer architecture and consists of several functional components responsible for management of production process, modeling and simulations and, finally, optimization. The latter module aims at searching for optimial parameters of selected production processes, which form production chain, i.e. rod rolling and cold forging. Optimization is performed using results obtained from multiscale modeling calculations. Then, the optimized approach is passed directly to the configuration and control centre of the real industrial process as a feedback to obtain better quality of products employing lower costs of manufacturing. Moreover, the hybrid system is designed to exchange information with other external systems implemented inside an enterprise e.g. ERP and its modules. The internal structure of presented system is described in the paper, as well as measurable advantages of hybrid system application to real environment.
Źródło:: Journal of Machine Engineering; 2008, 8, 2; 14-22
1895-7595
2391-8071
Pojawia się w:: Journal of Machine Engineering
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 9.

Tytuł:: Application of constraint logic programming to decision support for the supply chain management
Zastosowanie programowania w logice z ograniczeniami do wspomagania decyzji zarządzania łańcuchem dostaw
Autorzy:: Sitek, P.
Powiązania:: https://bibliotekanauki.pl/articles/276270.pdf
Data publikacji:: 2013
Wydawca:: Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:: zarządzanie łańcuchem dostaw
wspomaganie decyzji
programowanie w logice z ograniczeniami
modelowanie hybrydowe
Supply Chain Management (SCM)
decision support
constraint satisfaction problem (CSP)
constraint logic programming (CLP)
hybrid modeling
Opis:: Supply Chain Management (SCM) decisions can be considered at different levels of detail. At a strategic level they apply to the architecture in the supply chain, at the tactical level to transport fleet selection, selection of supply sources and distribution, and at the operational level, to the distribution of supplies and route selection. Many models of decision-making SCM have been developed. These are the linear (LP-linear programming) or mixed (MIP/MILP-Mixed Integer/Linear Integer Programming) models. These models are equipped with a smart form. Although they are well known in the OR (Operation Research) environment, they have significant drawbacks. First of all, they must support only linear constraints. For problems of larger dimensions search for solutions is long and inefficient. This paper proposes a CSP-based decision model for SCM and its implementation in the CLP (Constraint Logic Programming). In addition, it presents a novel way of constraints propagation using the structure of the problem.
Decyzje w zarządzaniu łańcuchem dostaw mogą być rozpatrywane na różnych poziomach szczegółowości. Na poziomie strategicznym dotyczą samej struktury i architektury łańcucha, na poziomie taktycznym wyboru floty transportowej, a na poziomie operacyjnym wyboru tras dostaw itd. Opracowano wiele formalnych modeli zarządzania łańcuchem dostaw. Najczęściej były to modele programowania matematycznego liniowego (LP) oraz całkowitoliczbowego (MILP). Chociaż posiadały struktury dobrze rozumiane w środowiskach (OR-Badań Operacyjnych), posiadały istotne wady. Po pierwsze, mogły zawierać jedynie ograniczenia liniowe. Po drugie nie były efektywne przy większych rozmiarach problemów decyzyjnych. W Artykule zaproponowano model decyzyjny dla łańcucha dostaw oparty na problemie spełnienia ograniczeń (CSP-based) oraz jego implementacji w środowisku programowania w logice z ograniczeniami (CLP). Dodatkowo zaprezentowano nowatorski sposób propagacji ograniczeń wykorzystujący strukturę problemu.
Źródło:: Pomiary Automatyka Robotyka; 2013, 17, 2; 129-134
1427-9126
Pojawia się w:: Pomiary Automatyka Robotyka
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 10.

Tytuł:: Hybrid CNN-Ligru acoustic modeling using sincnet raw waveform for hindi ASR
Autorzy:: Kumar, Ankit
Aggarwal, Rajesh Kumar
Powiązania:: https://bibliotekanauki.pl/articles/1839250.pdf
Data publikacji:: 2020
Wydawca:: Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:: automatic speech recognition
CNN
CNN-LiGRU
DNN
Opis:: Deep neural networks (DNN) currently play a most vital role in automatic speech recognition (ASR). The convolution neural network (CNN) and recurrent neural network (RNN) are advanced versions of DNN. They are right to deal with the spatial and temporal properties of a speech signal, and both properties have a higher impact on accuracy. With its raw speech signal, CNN shows its superiority over precomputed acoustic features. Recently, a novel first convolution layer named SincNet was proposed to increase interpretability and system performance. In this work, we propose to combine SincNet-CNN with a light-gated recurrent unit (LiGRU) to help reduce the computational load and increase interpretability with a high accuracy. Different configurations of the hybrid model are extensively examined to achieve this goal. All of the experiments were conducted using the Kaldi and Pytorch-Kaldi toolkit with the Hindi speech dataset. The proposed model reports an 8.0% word error rate (WER).
Źródło:: Computer Science; 2020, 21 (4); 397-417
1508-2806
2300-7036
Pojawia się w:: Computer Science
Dostawca treści:: Biblioteka Nauki

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