Wyniki wyszukiwania dla: AUTOMATIC MUSIC RECOGNITION - MOST Wiedzy

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Wyniki wyszukiwania dla: AUTOMATIC MUSIC RECOGNITION

Wyniki wyszukiwania dla: AUTOMATIC MUSIC RECOGNITION

  • Robot-Based Intervention for Children With Autism Spectrum Disorder: A Systematic Literature Review

    Publikacja
    • K. D. Bartl-Pokorny
    • P. Uluer
    • D. E. Barkana
    • A. Baird
    • H. Kose
    • T. Zorcec
    • B. Robins
    • B. Schuller
    • A. Landowska
    • M. Pykała

    - IEEE Access - Rok 2021

    Children with autism spectrum disorder (ASD) have deficits in the socio-communicative domain and frequently face severe difficulties in the recognition and expression of emotions. Existing literature suggested that children with ASD benefit from robot-based interventions. However, studies varied considerably in participant characteristics, applied robots, and trained skills. Here, we reviewed robot-based interventions targeting...

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  • Identification of acoustic event of selected noise sources in a long-term environmental monitoring systems

    Publikacja
    • M. Kłaczyński
    • W. Cioch
    • T. Wszołek
    • W. Wszołek
    • D. Mleczko
    • P. Pawlik
    • A. Grzeczka

    - Rok 2014

    ABSTRACT Undertaking long-term acoustic measurements on sites located near an airport is related to a problem of large quantities of recorded data, which very often represents information not related to flight operations. In such areas, usually defined as zone of limited use, often other sources of noise exist, such as roads or railway lines treated is such context as acoustic background. Manual verification of such recorded data...

  • Development and tuning of irregular divide-and-conquer applications in DAMPVM/DAC

    Publikacja

    - Rok 2002

    This work presents implementations and tuning experiences with parallel irregular applications developed using the object oriented framework DAM-PVM/DAC. It is implemented on top of DAMPVM and provides automatic partitioning of irregular divide-and-conquer (DAC) applications at runtime and dynamic mapping to processors taking into account their speeds and even loads by other user processes. New implementations of parallel applications...

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  • Semi complex navigation with an active optical gesture sensor

    This paper presents the methods of diversified touchless interactions between a user and a mobile platform utilizing the optical gesture sensor. The sensor uses 8 photodiodes to measure the reflected light in the active mode (using embedded LEDs) or it measures shadows caused by fingers in the passive mode. Several algorithms were implemented: automatic mode switching, adaptive illumination level compensation, resolution improvements...

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  • Bimodal classification of English allophones employing acoustic speech signal and facial motion capture

    A method for automatic transcription of English speech into International Phonetic Alphabet (IPA) system is developed and studied. The principal objective of the study is to evaluate to what extent the visual data related to lip reading can enhance recognition accuracy of the transcription of English consonantal and vocalic allophones. To this end, motion capture markers were placed on the faces of seven speakers to obtain lip...

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  • Orken Mamyrbayev Professor

    Osoby

    1.  Education: Higher. In 2001, graduated from the Abay Almaty State University (now Abay Kazakh National Pedagogical University), in the specialty: Computer science and computerization manager. 2.  Academic degree: Ph.D. in the specialty "6D070300-Information systems". The dissertation was defended in 2014 on the topic: "Kazakh soileulerin tanudyn kupmodaldy zhuyesin kuru". Under my supervision, 16 masters, 1 dissertation...

  • The Hough transform in the classification process of inland ships

    Publikacja

    This article presents an analysis of the possibilities of using image processing methods for feature extraction that allows kNN classification based on a ship’s image delivered from an on-water video surveillance system. The subject of the analysis is the Hough transform which enables the detection of straight lines in an image. The recognized straight lines and the information about them serve as features in the classification...

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  • Methodology and technology for the polymodal allophonic speech transcription

    A method for automatic audiovisual transcription of speech employing: acoustic, electromagnetical articulography and visual speech representations is developed. It adopts a combining of audio and visual modalities, which provide a synergy effect in terms of speech recognition accuracy. To establish a robust solution, basic research concerning the relation between the allophonic variation of speech, i.e., the changes in the articulatory...

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  • Methodology and technology for the polymodal allophonic speech transcription

    A method for automatic audiovisual transcription of speech employing: acoustic and visual speech representations is developed. It adopts a combining of audio and visual modalities, which provide a synergy effect in terms of speech recognition accuracy. To establish a robust solution, basic research concerning the relation between the allophonic variation of speech, i.e. the changes in the articulatory setting of speech organs for...

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  • Detecting Apples in the Wild: Potential for Harvest Quantity Estimation

    Publikacja
    • A. Janowski
    • R. Kaźmierczak
    • C. Kowalczyk
    • J. Szulwic

    - Sustainability - Rok 2021

    Knowing the exact number of fruits and trees helps farmers to make better decisions in their orchard production management. The current practice of crop estimation practice often involves manual counting of fruits (before harvesting), which is an extremely time-consuming and costly process. Additionally, this is not practicable for large orchards. Thanks to the changes that have taken place in recent years in the field of image...

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  • Music Information Retrieval in Music Repositories

    Publikacja

    - Rok 2013

    This chapter reviews the key concepts associated with automated Music Information Retrieval (MIR). First, current research trends and system solutions in terms of music retrieval and music recommendation are discussed. Next, experiments performed on a constructed music database are presented. A proposal for music retrieval and annotation aided by gaze tracking is also discussed.

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  • Audio content analysis in the urban area telemonitoring system

    Publikacja

    Artykuł przedstawia możliwości rozwinięcie monitoringu miejskiego o automatyczną analizę dźwięku. Przedstawiono metody parametryzacji dźwięku, które możliwe są do zastosowania w takim systemie oraz omówiono aspekty techniczne implementacji. W kolejnej części przedstawiono system decyzyjny oparty na drzewach zastosowany w systemie. System ten rozpoznaje dźwięki niebezpieczne (strzał, rozbita szyba, krzyk) wśród dźwięków zarejestrowanych...

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  • Listening to Live Music: Life beyond Music Recommendation Systems

    Publikacja

    - Rok 2018

    This paper presents first a short review on music recommendation systems based on social collaborative filtering. A dictionary of terms related to music recommendation systems, such as music information retrieval (MIR), Query-by-Example (QBE), Query-by-Category (QBC), music content, music annotating, music tagging, bridging the semantic gap in music domain, etc. is introduced. Bases of music recommender systems are shortly presented,...

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  • Selection of an artificial pre-training neural network for the classification of inland vessels based on their images

    Publikacja

    - Zeszyty Naukowe Akademii Morskiej w Szczecinie - Rok 2021

    Artificial neural networks (ANN) are the most commonly used algorithms for image classification problems. An image classifier takes an image or video as input and classifies it into one of the possible categories that it was trained to identify. They are applied in various areas such as security, defense, healthcare, biology, forensics, communication, etc. There is no need to create one’s own ANN because there are several pre-trained...

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  • Video content analysis in the urban area telemonitoring system

    Publikacja

    The task of constant monitoring of video streams from a large number of cameras and reviewing the recordings in order to find a specified event requires a considerable amount of time and effort from the system operators and it is prone to errors. A solution to this problem is an automatic system for constant analysis of camera images being able to raise an alarm if a predefined event is detected. The chapter presents various aspects...

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  • Minimizing Distribution and Data Loading Overheads in Parallel Training of DNN Acoustic Models with Frequent Parameter Averaging

    Publikacja

    In the paper we investigate the performance of parallel deep neural network training with parameter averaging for acoustic modeling in Kaldi, a popular automatic speech recognition toolkit. We describe experiments based on training a recurrent neural network with 4 layers of 800 LSTM hidden states on a 100-hour corpora of annotated Polish speech data. We propose a MPI-based modification of the training program which minimizes the...

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  • Music Recommendation System

    The paper focuses on optimization vector content feature for the music recommendation system. For the purpose of experiments a database is created consisting of excerpts of music les. They are assigned to 22 classes corresponding to dierent music genres. Various feature vectors based on low-level signal descriptors are tested and then optimized using correlation analysis and Principal Component Analysis (PCA). Results of the experiments...

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  • National Music Forum

    Publikacja

    - Rok 2015

    Text on National Music Forum in Wroclaw.

  • Visual Features for Endoscopic Bleeding Detection

    Aims: To define a set of high-level visual features of endoscopic bleeding and evaluate their capabilities for potential use in automatic bleeding detection. Study Design: Experimental study. Place and Duration of Study: Department of Computer Architecture, Faculty of Electronics, Telecommunications and Informatics, Gdansk University of Technology, between March 2014 and May 2014. Methodology: The features have...

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  • Using Convolutional Neural Networks for Corneal Arcus Detection Towards Familial Hypercholesterolemia Screening

    Publikacja

    Familial hypercholesterolemia (FH) is a highly undiagnosed disease. Among FH patients, the onset of premature coronary artery disease is 13 times higher than in the general population. Early diagnosis and treatment is essential to prevent cardiovascular diseases and their complications, and to prolong life. One of the clinical criteria of FH is the occurrence of a corneal arcus (CA) among patients, especially those under 45 years...

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  • The Application of the IODA Document Architecture to Music Data

    Publikacja

    - Rok 2014

    This paper is concerned with storing music data with the use of document architecture called Interactive Open Document Architecture (IODA). This architecture makes it possible to create documents which are executable, mobile, interactive and intelligent. Such documents consist of many files that are semantically related to each other. Semantic links are defined in XML files which are a part of a document. IODA documents with music...

  • Exploring music listening patterns: an online survey

    An online survey was carried out to explore how respondents listen to music recordings. It was anticipated that the listener’s preferences would be influenced by various factors, such as age, music genre, the contexts in which they listen, and their favored methods of music consumption. Consequently, the data were collected to analyze these relationships. The survey, structured as a web application, encompassed 23 questions,...

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  • DIAGNOSIS OF MALIGNANT MELANOMA BY NEURAL NETWORK ENSEMBLE-BASED SYSTEM UTILISING HAND-CRAFTED SKIN LESION FEATURES

    Malignant melanomas are the most deadly type of skin cancer but detected early have high chances for successful treatment. In the last twenty years, the interest of automated melanoma recognition detection and classification dynamically increased partially because of public datasets appearing with dermatoscopic images of skin lesions. Automated computer-aided skin cancer detection in dermatoscopic images is a very challenging task...

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  • Marking the Allophones Boundaries Based on the DTW Algorithm

    Publikacja

    - Rok 2018

    The paper presents an approach to marking the boundaries of allophones in the speech signal based on the Dynamic Time Warping (DTW) algorithm. Setting and marking of allophones boundaries in continuous speech is a difficult issue due to the mutual influence of adjacent phonemes on each other. It is this neighborhood on the one hand that creates variants of phonemes that is allophones, and on the other hand it affects that the border...

  • Linking music data in executable documents

    Publikacja

    - Rok 2022

    This paper presents the application of Interactive Open Document Architecture (IODA) to music and video data. This architecture was design to create multilayer documents which consist of many files. The paper shows the method of creating media documents on the basis of IODA. These kind of documents were called IODA Media Documents (IMD). IMD have links that connect many different kinds of files containing music and video data....

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  • Classification of Music Genres Based on Music Separation into Harmonic and Drum Components . Klasyfikacja gatunków muzycznych wykorzystująca separację instrumentów muzycznych

    Publikacja

    - Archives of Acoustics - Rok 2014

    This article presents a study on music genre classification based on music separation into harmonic and drum components. For this purpose, audio signal separation is executed to extend the overall vector of parameters by new descriptors extracted from harmonic and/or drum music content. The study is performed using the ISMIS database of music files represented by vectors of parameters containing music features. The Support Vector...

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  • Parametrization and Correlation Analysis Applied to Music Mood Classification .

    The paper presents a study on music mood categorization. First, a review of music mood models is presented. Then, the preparation of a set of music excerpts to be used in the experiments and music parametrization is described. Next, some listening tasks performed to obtain mood descriptors are introduced. Finally,the correlation between mood descriptors and features extracted from parameters is discussed. The paper concludes with...

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  • 2022/2023_zima SCADA Systems in Automatic Control

    Kursy Online
    • P. A. Kaczmarek

    SCADA Systems in Automatic Control - project materials

  • 2021/2022_zima SCADA Systems in Automatic Control

    Kursy Online
    • P. A. Kaczmarek

    SCADA Systems in Automatic Control - project materials

  • The Impact of Weather on Traffic Speed in Urban Area

    The issue of the impact of weather conditions on trip speed of vehicles has been studied for a long time and it is still the subject of many scientific researches. The impact of atmospheric conditions on the speed with which drivers drive their vehicles seems to be obvious. Good weather conditions, sunny weather with good visibility surely provokes higher speed while rainfall, wind...

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  • Musical inspiration in contemporary architecture - to build a music and to hear an architecture

    Publikacja

    - Rok 2009

    The goal of this research is chosen from a wide range of subjects within two fields of knowledge on the crossroads between music and architecture There are many designs in modern contemporary architecture that would illustrate the relationship between music and architecture, mainly through musical inspiration. The article shows contemporary musical and architectural discussion that cross over from the theoretical to the practical...

  • Information Retrieval with the Use of Music Clustering by Directions Algorithm

    Publikacja

    - Rok 2013

    This paper introduces the Music Clustering by Directions (MCBD) algorithm. The algorithm is designed to support users of query by humming systems in formulating queries. This kind of systems makes it possible to retrieve songs and tunes on the basis of a melody recorded by the user. The Music Clustering by Directions algorithm is a kind of an interactive query expansion method. On the basis of query, the algorithm provides suggestions...

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  • Evolutionary music composition system with statistically modeled criteria

    The paper concerns an original evolutionary music composition system. On the basis of available solutions, we have selected a finite set of music features which appear to have a key impact on the quality of composed musical phrases. Evaluation criteria have been divided into rule-based and statistical sub-sets. Elements of the cost function are modeled using a Gaussian distribution defined by the expected value and variance obtained...

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  • Music information analysis and retrieval techniques

    Publikacja
    • B. Kostek
    • Ł. Kania

    - Archives of Acoustics - Rok 2008

    Celem artykułu jest przedstawienie kluczowych zagadnień gwałtownie rozwijającej się gałęzi multimediów, reprezentowanej przez systemy automatycznego wyszukiwania informacji muzycznej MIR - Music Information Retrieval, która urasta do samodzielnej dziedziny zastosowań w obrębie informatyki muzycznej. W artykule przedstawiono wybrane systemy wyszukiwania informacji muzycznej oraz przedstawiono przykład takiego systemu, zrealizowanego...

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  • Low-Level Music Feature Vectors Embedded as Watermarks

    In this paper a method consisting in embedding low-level music feature vectors as watermarks into a musical signal is proposed. First, a review of some recent watermarking techniques and the main goals of development of digital watermarking research are provided. Then, a short overview of parameterization employed in the area of Music Information Retrieval is given. A methodology of non-blind watermarking applied to music-content...

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  • STANY NIEUSTALONE TOWARZYSZĄCE POMIAROWI IMPEDANCJI PĘTLI ZWARCIA W OBWODACH WYJŚCIOWYCH ZASILACZY BEZPRZERWOWYCH UPS

    W pracy przedstawiono metodykę i wyniki pomiarów stanów nieustalonych w zasilaczu bezprzerwowym (UPS) typu on - line. Do rejestracji zdarzeń po stronie zasilania i na wyjściu UPS wykorzystano dwa przyrządy do pomiaru jakości energii elektrycznej zsynchronizowane czasowo. Rejestratory kompresują uzyskane dane pomiarowe, co może wprowadzać dodatkowe błędy pomiaru wielkości mierzonych – napięć i prądów. Dodatkowe rejestracje oscyloskopem...

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  • Intelligent equalizer solution employing music genre and the room characteristics analysis

    The paper presents an intelligent equalizer solution based on room acoustic conditions and music genre analysis. A series of acoustic characteristic measurements are performed for checking the concept proposed. White noise (reference signal) and audio excerpts belonging to six music genres are utilized as excitation signals in measurements. This results in registration of frequency responses of rooms and reverberation times. Signals...

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  • Architecture Design of a Networked Music Performance Platform for a Chamber Choir

    This paper describes an architecture design process for Networked Music Performance (NMP) platform for medium-sized conducted music ensembles, based on remote rehearsals of Academic Choir of Gdańsk University of Technology. The issues of real-time remote communication, in-person music performance, and NMP are described. Three iterative steps defining and extending the architecture of the NMP platform with additional features to...

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  • Classifying Emotions in Film Music - A Deep Learning Approach

    The paper presents an application for automatically classifying emotions in film music. A model of emotions is proposed, which is also associated with colors. The model created has nine emotional states, to which colors are assigned according to the color theory in film. Subjective tests are carried out to check the correctness of the assumptions behind the adopted emotion model. For that purpose, a statistical analysis of the...

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  • Recognition and sensing of anions

    Publikacja

    Molecular ion recognition is one of the most intensively studied areas of supramolecular technology. The reason for this is the essential role that ions play in many biological as well as industrial processes. On the other hand, however, it has been proved that ions can have a negative impact on human health and the environment. For these reasons, it is extremly important to develop rapid and simple methods allowing the determination...

  • A study on of music features derived from audio recordings examples – a quantitative analysis

    The paper presents a comparative study of music features derived from audio recordings, i.e. the same music pieces but representing different music genres, excerpts performed by different musicians, and songs performed by a musician, whose style evolved over time. Firstly, the origin and the background of the division of music genres were shortly presented. Then, several objective parameters of an audio signal were recalled that...

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  • Music information retrieval—The impact of technology, crowdsourcing, big data, and the cloud in art.

    The exponential growth of computer processing power, cloud data storage, and crowdsourcing model of gathering data bring new possibilities to music information retrieval (mir) field. Mir is no longer music content retrieval only; the area also comprises the discovery of expressing feelings and emotions contained in music, incorporating other than hearing modalities for helping this issue, users’ profiling, merging music with social...

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  • Language Models in Speech Recognition

    Publikacja

    - Rok 2022

    This chapter describes language models used in speech recognition, It starts by indicating the role and the place of language models in speech recognition. Mesures used to compare language models follow. An overview of n-gram, syntactic, semantic, and neural models is given. It is accompanied by a list of popular software.

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  • Human emotion recognition with biosignals

    Publikacja

    - Rok 2022

    This chapter presents issues in the field of affective computing. Basic preliminary information for the recognition of emotions is given and models of emotions, various ways of evoking emotions, as well as their theoretical foundations are discussed. The particular attention is given to the use of physiological signals in recognizing emotions. This subject is outlined further below by presenting selected biosignals, their relationship...

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  • Music Data Processing and Mining in Large Databases for Active Media

    Publikacja

    - Rok 2014

    The aim of this paper was to investigate the problem of music data processing and mining in large databases. Tests were performed on a large data-base that included approximately 30000 audio files divided into 11 classes cor-responding to music genres with different cardinalities. Every audio file was de-scribed by a 173-element feature vector. To reduce the dimensionality of data the Principal Component Analysis (PCA) with variable...

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  • Computer-Aided Diagnosis of COVID-19 from Chest X-ray Images Using Hybrid-Features and Random Forest Classifier

    Publikacja

    - Healthcare - Rok 2023

    In recent years, a lot of attention has been paid to using radiology imaging to automatically find COVID-19. (1) Background: There are now a number of computer-aided diagnostic schemes that help radiologists and doctors perform diagnostic COVID-19 tests quickly, accurately, and consistently. (2) Methods: Using chest X-ray images, this study proposed a cutting-edge scheme for the automatic recognition of COVID-19 and pneumonia....

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  • Auditory Display Applied to Research in Music and Acoustics . Obrazowanie dźwiękowe w muzyce i akustyce.

    Publikacja

    This paper presents a relationship between Auditory Display (AD) and the domains of music and acoustics. First, some basic notions of the Auditory Display area are shortly outlined. Then, the research trends and system solutions within the fields of music technology, music information retrieval and music recommendation and acoustics that are within the scope of AD are discussed. Finally, an example of AD solution based on gaze...

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  • AUDITORY DISPLAY FROM THE MUSIC TECHNOLOGY PERSPECTIVE . Obecność wirtualnego środowiska dźwiękowego w technologiach muzycznych

    Publikacja

    - Rok 2013

    This paper presents some applications of Auditory Displays (AD) in the domain of music technology. First, the scope of music technology and auditory display areas are shortly outlined. Then, the research trends and system solutions within the fields of music technology, music information retrieval and music recommendation are discussed. Finally, an example of an auditory display that facilities music annotation process based on...

  • Recognition of Hand Drawn Flowcharts

    Publikacja

    - Rok 2013

    In this paper the problem of hand drawn flowcharts recognition is presented. There are described two attitudes to this problem: on-line and off-line. A concept of FCE, a system for recognizing and understanding of freehand drawn on-line flow charts on desktop computer and mobile devices is presented. The first experiments with the FCE system and the planes for future are also described.

  • Semantic Integration of Heterogeneous Recognition Systems

    Publikacja

    - LECTURE NOTES IN COMPUTER SCIENCE - Rok 2011

    Computer perception of real-life situations is performed using a variety of recognition techniques, including video-based computer vision, biometric systems, RFID devices and others. The proliferation of recognition modules enables development of complex systems by integration of existing components, analogously to the Service Oriented Architecture technology. In the paper, we propose a method that enables integration of information...