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Tytuł:
Requirements Modeling in Agile Methodologies with X-Machines
Modelowanie wymagań w metodach Agile z wykorzystaniem X-Machines
Autorzy:
Lipski, A.
Powiązania:
https://bibliotekanauki.pl/articles/305983.pdf
Data publikacji:
2011
Wydawca:
Wojskowa Akademia Techniczna im. Jarosława Dąbrowskiego
Tematy:
X-Machine
metody Agile
modelowanie wymagań
agile methods
requirements modeling
Opis:
The demand for more complex but also more reliable and correct computer based systems on the one hand, and the fact that several changes in the user requirements through the development cycle on the other hand, leads to the need for more formal but also agile development methodologies. X-Machines is an intuitive formal method which can be easily applied to agile methodologies, especially in specification phase, gaining a lot of advantages.
Popyt na bardziej złożone, ale również bardziej wiarygodne i prawidłowe systemy z jednej strony, oraz fakt, że klika zmian w wymaganiach użytkownika w trakcie cyklu rozwoju oprogramowania z drugiej strony, prowadzi do konieczności użycia bardziej formalnych ale również zwinnych metody wytwarzania oprogramowania. X-Machines to intuicyjne formalne metody, które można łatwo zastosować wraz z metodami Agile, zwłaszcza w fazie specyfikacji wymagań, osiągając wiele zalet.
Źródło:
Biuletyn Instytutu Systemów Informatycznych; 2011, 7; 19-24
1508-4183
Pojawia się w:
Biuletyn Instytutu Systemów Informatycznych
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A Quality Control Test for General X-Ray Machine
Autorzy:
AL-Jasim, Ali Kareem
Hulugalle, S.N.C.W.M.P.S.K.
Al-Hamadani, Haider Kamil
Powiązania:
https://bibliotekanauki.pl/articles/1178771.pdf
Data publikacji:
2017
Wydawca:
Przedsiębiorstwo Wydawnictw Naukowych Darwin / Scientific Publishing House DARWIN
Tematy:
Quality Assurance
Quality Control
X-Ray Machine
Opis:
The aim of a quality assurance program is to assist a radio-diagnostic facility in consistently obtaining adequate radiological information with a minimum of dose and a minimum of cost. An integrated part of a quality assurance program is quality control ascertaining quality by measurements and other procedures. When procuring equipment, a specification is worked out taking into account all aspects of the performance of the equipment including the desired tolerances of technique factors. In this study the seven tests (beam alignment, beam collimation, reproducibility, accuracy of kv, time accuracy, half value layer (HVL) and leakage) were carried out for the newly installed General X-Ray machine at Nuclear Malaysia and were in the acceptable limits. Such a test will be the responsibility of a qualified physicist or engineer. The status test is carried out in order to establish the functional status of the equipment. The test is performed immediately after the acceptance test or as an integrated part of it. The test will be repeated when repair influencing the functional status has taken place like the acceptance test; the status test will comprise absolute measurements and will likewise be the responsibility of a qualified physicist or engineer.
Źródło:
World Scientific News; 2017, 90; 11-30
2392-2192
Pojawia się w:
World Scientific News
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Multi-degree of freedom robust control of the CNC X-Y table PMSM-based feed-drive module
Autorzy:
Pietrusewicz, K.
Powiązania:
https://bibliotekanauki.pl/articles/140606.pdf
Data publikacji:
2012
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
kontrola jakości
obrabiarka
robust control
hybrid control systems
machine tool feed-drive
PMSM
Opis:
The paper presents results of studies on linear synchronous motors controlled in CNC feed axes through an intelligent digital servodrive. The research includes a conceptual design of an open servodrive control system and identification of dynamic models of a test stand with an open CNC system. Advantages of robust control over the classic one are discussed. A hybrid predictive approach to robust control of milling machine X-Y table velocity is proposed and results of simulation tests are presented. Was prepared during the work for the Ministry of Science and Higher Education grant number N N502 336936, (acronym for this project is M.A.R.I.N.E. multivariable hybryd ModulAR motIon coNtrollEr), while its main purpose is the development of new rob ust position/velocity model-based control system, as well as to introduce the measurement of the actual state into the switching algorithm between the locally synthesized controllers. Such switching increases the overall robustness of the machine tool feed-drive module. The paper is the extended version of material proposed in [10].
Źródło:
Archives of Electrical Engineering; 2012, 61, 1; 15-31
1427-4221
2300-2506
Pojawia się w:
Archives of Electrical Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Fast near-infrared palmprint recognition using nonnegative matrix factorization extreme learning machine
Autorzy:
Xu, X.
Zhang, X.
Lu, L.
Deng, W.
Zuo, K
Powiązania:
https://bibliotekanauki.pl/articles/173572.pdf
Data publikacji:
2014
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:
extreme learning machine
palmprint recognition
superior speed
support vector machine (SVM)
Opis:
Support vector machine and artificial neural network are widely used in classification applications. Extreme learning machine (ELM) is a novel and efficient learning algorithm based on the generalized single hidden layer feed forward networks, which performs well in classification applications. The research results have shown the superiority of ELM with the existing classical algorithms: support vector machine (SVM) and back propagation neural network. In this study, we firstly propose a novel nonnegative matrix factorization extreme learning machine (NMFELM) to improve the performance of standard ELM method. Then we propose a novel near-infrared palmprint recognition approach based on NMFELM classifier. As the test data, we use the near-infrared palmprint database provided by Hong Kong Polytechnic University. The experimental results demonstrate that the proposed NMFELM method outperforms the standard ELM- and SVM-based methods.
Źródło:
Optica Applicata; 2014, 44, 2; 285-298
0078-5466
1899-7015
Pojawia się w:
Optica Applicata
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Coordinate measuring technology XXL
Autorzy:
Balle, B.
Powiązania:
https://bibliotekanauki.pl/articles/132146.pdf
Data publikacji:
2016
Wydawca:
Stowarzyszenie Inżynierów i Techników Mechaników Polskich
Tematy:
coordinate measuring machine
six-meter X and Y axis
Opis:
The gap is increasing: ThyssenKrupp Rothe Erde manufactures increasingly large workpieces with ever smaller tolerances on behalf of its customers. Quality Assurance in Lippstadt, Germany, therefore sought out a precise system to measure the several-meter large components for offshore technology, large gears and tunneling machines – and convinced ZEISS to design a coordinate measuring machine with a six-meter X axis.
Źródło:
Advanced Technologies in Mechanics; 2016, 3, no. 2 (7); 12-16
2392-0327
Pojawia się w:
Advanced Technologies in Mechanics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Analysis of large particle sizes using a machine vision system
Autorzy:
Zhang, Z.
Yang, J.
Su, X.
Ding, L.
Powiązania:
https://bibliotekanauki.pl/articles/109404.pdf
Data publikacji:
2013
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:
machine vision
particle size distribution
equivalent ellipse
best-fit rectangle
representing analysis
Opis:
Many methods based on machine vision were used to estimate coarse particles size distribution in recent years, but comparison of accuracy parameters representing particle size has not been carried out and a related representing analysis has not been yet proposed. Nine parameters were investigated. The results indicated the minor axis of equivalent ellipse and breadth of the best-fit rectangle were the most suitable for representing particle size. The former accuracy ratio was 86.43% and the latter accuracy ratio was 85.39%, while the accuracy of other parameters was less than 70%. A related representing analysis was proposed to explain this phenomenon. This research is instructive and meaningful for the size distribution estimation by machine vision.
Źródło:
Physicochemical Problems of Mineral Processing; 2013, 49, 2; 397-405
1643-1049
2084-4735
Pojawia się w:
Physicochemical Problems of Mineral Processing
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A novel method for 3D measurement of RFID multi-tag network using a machine vision system
Autorzy:
Zhuang, X.
Yu, X.
Zhao, Z.
Zhang, W.
Liu, Z.
Lu, D.
Dong, D.
Powiązania:
https://bibliotekanauki.pl/articles/221058.pdf
Data publikacji:
2018
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
3D measurement
RFID multi-tag network
dual-CCD system
neural network
machine vision
Opis:
The three-dimensional (3D) coordinate measurement of radio frequency identification (RFID) multi-tag networks is one of the important issues in the field of RFID, which affects the reading performance of RFID multi-tag networks. In this paper, a novel method for 3D coordinate measurement of RFID multi-tag networks is proposed. A dual-CCD system (vertical and horizontal cameras) is used to obtain images of RFID multi-tag networks from different angles. The iterative threshold segmentation and the morphological filtering method are used to process the images. The template matching method is respectively used to determine the two-dimensional (2D) coordinate and the vertical coordinate of each tag. After that, the 3D coordinate of each tag is obtained. Finally, a back-propagation (BP) neural network is used to model the nonlinear relationship between the RFID multi-tag network and the corresponding reading distance. The BP neural network can predict the reading distances of unknown tag groups and find out the optimal distribution structure of the tag groups corresponding to the maximum reading distance. In the future work, the corresponding in-depth research on the neural network to adjust the distribution of tags will be done.
Źródło:
Metrology and Measurement Systems; 2018, 25, 3; 475-486
0860-8229
Pojawia się w:
Metrology and Measurement Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Comparison and Analysis of Magnetic-Geared Permanent Magnet Electrical Machine at No-Load
Autorzy:
Liu, X.
Chen, D.
Yi, L.
Zhang, Ch.
Wang, M.
Powiązania:
https://bibliotekanauki.pl/articles/140663.pdf
Data publikacji:
2014
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
magnetic gear
MGPM electrical machine
quantitative comparison
finite element analysis
no load
Opis:
Magnetic-geared permanent magnet (MGPM) electrical machine is a new type of machine by incorporating magnetic gear into PM electrical machine, and it may be in operation with low-speed, high-torque and direct-driven. In this paper, three types of MGPM machines are present, and a quantitative comparison among them is performed by finite element analysis (FEA). The magnetic field distribution, stable torque and back EMF are obtained at no-load. The results show that three types of MGPM machine are suitable for different application fields respectively according to their own advantages, such as high torque and back EMF, which form an important foundation for MGPM electrical machine research.
Źródło:
Archives of Electrical Engineering; 2014, 63, 4; 683-692
1427-4221
2300-2506
Pojawia się w:
Archives of Electrical Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A machine learning-based mobile robot visual homing approach
Autorzy:
Zhu, Q.
Ji, X.
Wang, J.
Cai, C.
Powiązania:
https://bibliotekanauki.pl/articles/201706.pdf
Data publikacji:
2018
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
robot navigation
visual homing
panoramic vision sensors
machine learning
homing performance
nawigacja robotów
panoramiczny czujnik wizyjny
uczenie maszynowe
Opis:
Visual homing enables mobile robots to move towards a previously visited location solely based on panoramic vision sensors. In this paper, a SIFT-based visual homing approach incorporating machine learning is presented. The proposed approach can reduce the impact of inaccurate landmarks on the performance, and generate more precise home direction with simple model. The effectiveness of the proposed approach is verified on both panoramic image databases and actual mobile robot, experimental results reveal that compared to some traditional visual homing methods, the proposed approach exhibits better homing performance and adaptability in both static and dynamic environments.
Źródło:
Bulletin of the Polish Academy of Sciences. Technical Sciences; 2018, 66, 5; 621-634
0239-7528
Pojawia się w:
Bulletin of the Polish Academy of Sciences. Technical Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Restoration of Remote Satellite Sensing Images using Machine and Deep Learning : a Survey
Autorzy:
Abdellaoui, Meriem
Benabdelkader, Souad
Assas, Ouarda
Powiązania:
https://bibliotekanauki.pl/articles/31339413.pdf
Data publikacji:
2023
Wydawca:
Szkoła Główna Gospodarstwa Wiejskiego w Warszawie. Instytut Informatyki Technicznej
Tematy:
image restoration
remote sensing images
artificial intelligence
AI
machine learning
ML
deep learning
DL
convolutional neural network
CNN
Opis:
Remote sensing satellite images are affected by different types of degradation, which poses an obstacle for remote sensing researchers to ensure a continuous and trouble-free observation of our space. This degradation can reduce the quality of information and its effect on the reliability of remote sensing research. To overcome this phenomenon, the methods of detecting and eliminating this degradation are used, which are the subject of our study. The original aim of this paper is that it proposes a state of art of recent decade (2012-2022) on advances in remote sensing image restoration using machine and deep learning, identified by this survey, including the databases used, the different categories of degradation, as well as the corresponding methods. Machine learning and deep learning based strategies for remote sensing satellite image restoration are recommended to achieve satisfactory improvements.
Źródło:
Machine Graphics & Vision; 2023, 32, 2; 147-167
1230-0535
2720-250X
Pojawia się w:
Machine Graphics & Vision
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The Machine Learning Method of PIDVCA
Autorzy:
Li, L.
Wang, X.
Chen, G.
Powiązania:
https://bibliotekanauki.pl/articles/1841618.pdf
Data publikacji:
2020
Wydawca:
Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
Tematy:
learning methods
personified intelligence
collision avoidance
dynamic collision avoidance
static collision avoidance
Opis:
Building a dynamic collision knowledge base of self-learning is one of the core contents of implementing "personified intelligence" in Personifying Intelligent Decision-making for Vessel Collision Avoidance (short for PIDVCA). In the paper, the machine learning method of PIDVCA combined with offline artificial learning and online machine learning is proposed. The static collision avoidance knowledge is acquired through offline artificial learning, and the isomeric knowledge representation integration method with process knowledge as the carrier is established, and the Dynamic collision avoidance knowledge is acquired through online machine learning guided by inference engine. A large number of simulation results show that the dynamic collision avoidance knowledge base constructed by machine learning can achieve the effect of anthropomorphic intelligent collision avoidance. It is verified by examples that the machine learning method of PIDVCA can realize target perception, target cognition and finally obtain an effective collision avoidance decision-making.
Źródło:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2020, 14, 3; 533-540
2083-6473
2083-6481
Pojawia się w:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Dynamic Characteristic Analysis of the Needle Multi-linkage Mechanism in a Carpet Tufting Machine’s Driving System
Analiza charakterystyki dynamicznej mechanizmu napędzającego system igłowy w maszynie do produkcji dywanów
Autorzy:
Xu, Y.
Sun, Z.
Huang, S.
Sheng, X.
Chi, X.
Powiązania:
https://bibliotekanauki.pl/articles/232022.pdf
Data publikacji:
2016
Wydawca:
Sieć Badawcza Łukasiewicz - Instytut Biopolimerów i Włókien Chemicznych
Tematy:
carpet tufting machine
needle multi-linkage mechanism
kinematic characteristics
dynamic characteristics
dywan
maszyna igłowa
mechanizm napędzający igły
analiza wektorowa
Opis:
In a typical carpet tufting machine, kinematic and dynamic characteristics of the needle multi-linkage mechanism are the important factors affecting the quality of the tufting carpet. For providing a rational basis for mechanism design and vibration characteristic analysis, a mathematical model of the needle multi-linkage mechanism is constructed using the complex vector analysis method. On the basis of the model, kinematic characteristic curves and dynamic characteristic curves of the needle multi-linkage mechanism are analyzed by simulation methods. Finally experimental validation of the alternating load dynamic characteristics is performed on the needle multi-linkage mechanism in a typical carpet tufting machine. The results prove the theoretical analysis validity of the needle multi-linkage mechanism.
W typowej maszynie wiążącej dywany charakterystyki kinematyczne i dynamiczne mechanizmu napędzającego układ igieł są bardzo ważnym czynnikiem określającym jakość wytwarzanych dywanów. Dla otrzymania racjonalnej podstawy dla projektowania mechanizmu i analizy charakterystyk wibracyjnych opracowano matematyczny model mechanizmu napędzającego igły. Przy opracowaniu modelu zastosowano metodę kompleksowej analizy wektorowej. Posłużyło to do otrzymania kinematycznych i dynamicznych krzywych przebiegu. Przebiegi te analizowano za pomocą metod symulacji. Następnie oceniono wyniki eksperymentalnie stosując typową maszynę do wytwarzania dywanów. Wyniki potwierdziły prawidłowość przyjętych teoretycznie zależności.
Źródło:
Fibres & Textiles in Eastern Europe; 2016, 3 (117); 103-109
1230-3666
2300-7354
Pojawia się w:
Fibres & Textiles in Eastern Europe
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Semantic Segmentation of Diseases in Mushrooms using Enhanced Random Forest
Autorzy:
Yacharam, Rakesh Kumar
Sekhar, Dr. V. Chandra
Powiązania:
https://bibliotekanauki.pl/articles/31339414.pdf
Data publikacji:
2023
Wydawca:
Szkoła Główna Gospodarstwa Wiejskiego w Warszawie. Instytut Informatyki Technicznej
Tematy:
mushroom diseases
semantic segmentation
computer aided
Machine Learning
significant feature extraction
Random Forest classifier
Opis:
Mushrooms are a rich source of antioxidants and nutritional values. Edible mushrooms, however, are susceptible to various diseases such as dry bubble, wet bubble, cobweb, bacterial blotches, and mites. Farmers face significant production losses due to these diseases affecting mushrooms. The manual detection of these diseases relies on expertise, knowledge of diseases, and human effort. Therefore, there is a need for computer-aided methods, which serve as optimal substitutes for detecting and segmenting diseases. In this paper, we propose a semantic segmentation approach based on the Random Forest machine learning technique for the detection and segmentation of mushroom diseases. Our focus lies in extracting a combination of different features, including Gabor, Bouda, Kayyali, Gaussian, Canny edge, Roberts, Sobel, Scharr, Prewitt, Median, and Variance. We employ constant mean-variance thresholding and the Pearson correlation coefficient to extract significant features, aiming to enhance computational speed and reduce complexity in training the Random Forest classifier. Our results indicate that semantic segmentation based on Random Forest outperforms other methods such as Support Vector Machine (SVM), Naïve Bayes, K-means, and Region of Interest in terms of accuracy. Additionally, it exhibits superior precision, recall, and F1 score compared to SVM. It is worth noting that deep learning-based semantic segmentation methods were not considered due to the limited availability of diseased mushroom images.
Źródło:
Machine Graphics & Vision; 2023, 32, 2; 129-146
1230-0535
2720-250X
Pojawia się w:
Machine Graphics & Vision
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Reconstruction algorithm for obtaining the bending deformation of the base of heavy-duty machine tool using inverse Finite Element Method
Autorzy:
Liu, M.
Zhang, X.
Song, H.
Wang, J.
Zhou, S.
Powiązania:
https://bibliotekanauki.pl/articles/221566.pdf
Data publikacji:
2018
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
inverse Finite Element Method
bending deformation
heavy-duty machine tool
reconstruction algorithm
statically indeterminate structure
Opis:
The field of mechanical manufacturing is becoming more and more demanding on machining accuracy. It is essential to monitor and compensate the deformation of structural parts of a heavy-duty machine tool. The deformation of the base of a heavy-duty machine tool is an important factor that affects machining accuracy. The base is statically indeterminate and complex in load. It is difficult to reconstruct deformation by traditional methods. A reconstruction algorithm for determining bending deformation of the base of a heavy-duty machine tool using inverse Finite Element Method (iFEM) is presented. The base is equivalent to a multi-span beam which is divided into beam elements with support points as nodes. The deflection polynomial order of each element is analysed. According to the boundary conditions, the deformation compatibility conditions and the strain data measured by Fiber Bragg Grating (FBG), the deflection polynomial coefficients of a beam element are determined. Using the coordinate transformation, the deflection equation of the base is obtained. Both numerical verification and experiment were carried out. The deflection obtained by the reconstruction algorithm using iFEM and the actual deflection measured by laser displacement sensors were compared. The accuracy of the reconstruction algorithm is verified.
Źródło:
Metrology and Measurement Systems; 2018, 25, 4; 727-741
0860-8229
Pojawia się w:
Metrology and Measurement Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Optimized design of a high-power-density PM-assisted synchronous reluctance machine with ferrite magnets for electric vehicles
Autorzy:
Liu, X.
Li, Y.
Liu, Z.
Ling, T.
Luo, Z.
Powiązania:
https://bibliotekanauki.pl/articles/140849.pdf
Data publikacji:
2017
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
permanent magnet (PM)-assisted synchronous reluctance machine
ferrite magnet
demagnetization
mechanical strength
torque ripple
finite element analysis
Opis:
This paper proposes a permanent magnet (PM)-assisted synchronous reluctance machine (PMASynRM) using ferrite magnets with the same power density as rareearth PM synchronous motors employed in Toyota Prius 2010. A suitable rotor structure for high torque density and high power density is discussed with respect to the demagnetization of ferrite magnets, mechanical strength and torque ripple. Some electromagnetic characteristics including torque, output power, loss and efficiency are calculated by 2-D finite element analysis (FEA). The analysis results show that a high power density and high efficiency of PMASynRM are obtained by using ferrite magnets.
Źródło:
Archives of Electrical Engineering; 2017, 66, 2; 279-293
1427-4221
2300-2506
Pojawia się w:
Archives of Electrical Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
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