Marina Danshina - Semiotic system of musical texts
•
0 likes•1,169 views
Znamyas are special semiographic signs used in manuscripts from the 11th-19th centuries that each correspond to a sequence of sounds of different duration and pitch. Over 500 znamyas existed and are preserved in over 3000 manuscripts found in various Russian libraries. The relationships between znamyas can be modeled using different types of relationships, and the frequency of use of each znamya follows an exponential decay formula related to its rank order of use.
Report
Share
Report
Share
Download to read offline
Recommended
Most famous artists of Lithuania
This document summarizes several of the most famous artists from Lithuania, including poets, painters, musicians, directors, and filmmakers. It discusses Kristijonas Donelaitis, who wrote Lithuania's first classic poem; Maironis, an important Lithuanian poet; Balys Sruoga, a novelist who wrote about his experiences in Nazi concentration camps; and Justinas Marcinkevičius, a renowned poet. It also profiles Mikalojus Konstantinas Čiurlionis, Lithuania's first internationally recognized artist; Oskaras Koršunovas, an influential theatre director; and opera singer Violeta Urmanavičiūtė-Urmana.
Leszek możdżer- Poland
Leszek Możdżer is a Polish jazz pianist and composer born in 1971 in Gdańsk, Poland. He showed a talent for piano from a young age, beginning lessons at age 5. He has won several Polish music awards and has performed internationally, including concerts with over 15,000 people in Chile. Możdżer composes music for theater, film, and dance productions in addition to performing his own jazz compositions. He sees music as allowing his hands' wisdom and experience to express themselves freely.
The Real Vocal Festival - Flyer
The Real Vocal Festival will take place in Stockholm from August 16-19, 2012, featuring concerts, workshops and seminars for singers, vocal groups and choirs. Attendees can purchase festival passes and concert tickets from www.therealacademy.se to see performances by groups like The Real Group, Swingle Singers, Rajaton, and Postyr Project, as well as artists Jens Johansen and Jake Moulton.
Russia
Russia has a population of over 141 million people as of 2010, with ethnic Russians making up around 80% of the population and various minorities comprising the rest. While adopting some cultural techniques from other places, Russia has also developed its own unique culture, such as Russian rock music which blends outside influences with local content.
Vlad Monroe. Dostoevsky in Baden-Baden
A presentation prepared for the Dostoevsky Day at the University of Leeds, 19 February 2106 (http://www.dostoevskynow.org.uk/dostoevsky-day-programme/).
Vlad Monroe's work can be found here: http://www.mamm-mdf.ru/exhibitions/vladislav-mamyshev-monro-dostoevsky-in-baden-baden/
Daniel Khachay - GPS navigation algorithm based on osm data
Daniel Khachay works at the Institute of Mathematics and Computer Science at Ural Federal University. The document provides Daniel Khachay's name and affiliation with the Institute of Mathematics and Computer Science at Ural Federal University.
Nikolay Karpov - Single-sentence readability prediction in russian
The document summarizes research on predicting readability levels of Russian texts and sentences. It tested various machine learning algorithms and feature sets for classifying readability into four CEFR levels (A1, A2, B1, C2) for texts, and binary levels (B1 or below, above B1) for sentences. The best results were from random forests, achieving over 99% accuracy for texts and over 94% for sentences. The most important features for sentence classification were lexical features like percentage of words not in the B1 vocabulary. The research aims to develop a text simplification system for Russian as a foreign language.
Nikita Trifonov - Zipf ’s law for live journal
This document analyzes Zipf's law as it applies to LiveJournal. It presents figures showing the rank distribution of words in analyzed articles and for specific LiveJournal pages, with the distributions following Zipf's law formulas. The author is Nikita Trifonov from Kazan Federal University, and they examine how frequently words are used on LiveJournal pages and how this relates to Zipf's law.
Recommended
Most famous artists of Lithuania
This document summarizes several of the most famous artists from Lithuania, including poets, painters, musicians, directors, and filmmakers. It discusses Kristijonas Donelaitis, who wrote Lithuania's first classic poem; Maironis, an important Lithuanian poet; Balys Sruoga, a novelist who wrote about his experiences in Nazi concentration camps; and Justinas Marcinkevičius, a renowned poet. It also profiles Mikalojus Konstantinas Čiurlionis, Lithuania's first internationally recognized artist; Oskaras Koršunovas, an influential theatre director; and opera singer Violeta Urmanavičiūtė-Urmana.
Leszek możdżer- Poland
Leszek Możdżer is a Polish jazz pianist and composer born in 1971 in Gdańsk, Poland. He showed a talent for piano from a young age, beginning lessons at age 5. He has won several Polish music awards and has performed internationally, including concerts with over 15,000 people in Chile. Możdżer composes music for theater, film, and dance productions in addition to performing his own jazz compositions. He sees music as allowing his hands' wisdom and experience to express themselves freely.
The Real Vocal Festival - Flyer
The Real Vocal Festival will take place in Stockholm from August 16-19, 2012, featuring concerts, workshops and seminars for singers, vocal groups and choirs. Attendees can purchase festival passes and concert tickets from www.therealacademy.se to see performances by groups like The Real Group, Swingle Singers, Rajaton, and Postyr Project, as well as artists Jens Johansen and Jake Moulton.
Russia
Russia has a population of over 141 million people as of 2010, with ethnic Russians making up around 80% of the population and various minorities comprising the rest. While adopting some cultural techniques from other places, Russia has also developed its own unique culture, such as Russian rock music which blends outside influences with local content.
Vlad Monroe. Dostoevsky in Baden-Baden
A presentation prepared for the Dostoevsky Day at the University of Leeds, 19 February 2106 (http://www.dostoevskynow.org.uk/dostoevsky-day-programme/).
Vlad Monroe's work can be found here: http://www.mamm-mdf.ru/exhibitions/vladislav-mamyshev-monro-dostoevsky-in-baden-baden/
Daniel Khachay - GPS navigation algorithm based on osm data
Daniel Khachay works at the Institute of Mathematics and Computer Science at Ural Federal University. The document provides Daniel Khachay's name and affiliation with the Institute of Mathematics and Computer Science at Ural Federal University.
Nikolay Karpov - Single-sentence readability prediction in russian
The document summarizes research on predicting readability levels of Russian texts and sentences. It tested various machine learning algorithms and feature sets for classifying readability into four CEFR levels (A1, A2, B1, C2) for texts, and binary levels (B1 or below, above B1) for sentences. The best results were from random forests, achieving over 99% accuracy for texts and over 94% for sentences. The most important features for sentence classification were lexical features like percentage of words not in the B1 vocabulary. The research aims to develop a text simplification system for Russian as a foreign language.
Nikita Trifonov - Zipf ’s law for live journal
This document analyzes Zipf's law as it applies to LiveJournal. It presents figures showing the rank distribution of words in analyzed articles and for specific LiveJournal pages, with the distributions following Zipf's law formulas. The author is Nikita Trifonov from Kazan Federal University, and they examine how frequently words are used on LiveJournal pages and how this relates to Zipf's law.
Iosif Itkin - Network models for exchange trade analysis
The document discusses software testing tools from Exactpro Systems for validating trading systems and ensuring data reconciliation. It introduces several tools the company offers: ClearTH for post-trade testing; MiniRobots for multi-threaded Java testing; Dolphin for market surveillance testing; Shsha for post-transactional analysis; Load Injector for load testing; and Sailfish for end-to-end testing. It also provides background on software quality assurance processes and examples of financial technology failures like the 2012 Knight Capital incident and issues with Facebook's NASDAQ IPO cross.
Dmitriy Ignatov - AIST'2014 Opening
The document summarizes information about the AIST 2014 conference, including that it received 74 submissions, mostly from Russian authors. Key highlights included the selection process, publication of accepted papers in Springer's Communications in Computer and Information Science series, and organization by a committee from Russia, UK, and other countries. It also lists sponsors and invited speakers for the conference.
Nicolay Lyfenko - Conceptual scheme for text classification system
This document presents the conceptual scheme for a text classification system. The goals of the system are to compare classical classification methods to the JSM method and choose the best one for a particular task, and to automatically generate hypotheses from text data. The JSM method uses rules of plausible reasoning and cognitive procedures like induction, analogy, and abduction to identify patterns in data and enable prediction. It represents an original set of logical combinatorial technologies for data mining.
Нургуль Маматова - Применение модели векторной авторегрессии для анализа потр...
This study analyzed the relationship between electricity consumption and other factors like tariffs using a VAR model. The results of the variance decomposition showed that tariff shocks did not impact consumption for the first 5 years but led to significant changes thereafter. The impulse response analysis found that tariff shocks reduced electricity consumption significantly after 5 years, with consumption returning to previous levels only by the 21st year. Therefore, the government's 2014 policy to reduce consumption through higher tariffs would start showing effects after 2019.
Борис Парфененков - Сравнение методов оценки качества изображений
This document appears to be a report on image quality metrics from Parfenenkov B.V. and Panachev M.A. of UrFU and AIST in 2014. It analyzes the effects of various image shifts, noise levels, blurring, and JPEG compression on common image quality metrics like PSNR, LMQ, SCSSIM, and VDP. The document concludes by thanking the audience for their attention.
Trends and challanges for IT in Knowledge Management
Yury Kupriyanov is the head of practice for enterprise crowdsourcing and knowledge management at WikiVote, which specializes in creating crowdsourcing platforms for citizen participation in drafting laws and strategic documents. He discusses knowledge management strategies and techniques, noting that mainstream approaches are now organizational, pull-based, personalized, and people-oriented, while Russian companies tend toward more techno-centric, push-based and codification-focused models. Information technology on its own does not generate business value but can accelerate existing processes, both in collecting and analyzing data as well as coordinating information flow and decision making.
Rita Gaibadullina - Automatic defect recognition in corrosion logging using m...
The document describes an algorithm to automatically recognize corrosion in oil wells using data from Magnetic Imaging Defectoscopy (MID). The algorithm constructs drift panels from MID sensor data, then binary maps to identify significant deviations indicating corrosion. It was found to accurately separate defects between the first and second barriers when configured for major defects over 10% metal loss. However, for smaller corrosion intervals under 10%, many false defects were detected, complicating the data. With appropriate parameters, the algorithm can detect 89% of first barrier and 93% of second barrier corrosion.
Елена Малютина - Оценка параметров хаотического процесса с помощью Ukf-фильтр...
This document discusses using the Unscented Kalman Filter (UKF) to estimate parameters and forecast chaotic systems. It aims to improve forecast accuracy by identifying the chaotic component of time series processes using nonlinear dynamic models. The UKF is applied to a logistic map model example to check its effectiveness. It is also applied to communication traffic data to forecast values and residues shows good approximation. The UKF method shows potential for parameter estimation and forecasting of real-world chaotic systems.
Dialogue systems and personal assistants
This presentation covers dialogue systems: their definition, basic structure (covering all modules: natural language understanding, dialogue manager, natural language generation), evaluation and the way they can be used. We also provide details about future directions and discusses current personal assistants: SIRI, S-Voice, Cortana, Maluuba etc.
Alexander Semenov - Recent Advances in Social Network Analysis
This document discusses the field of social network analysis (SNA). It provides examples of different books, journals, authors, articles, data, methods, and applications of SNA. It notes that while SNA methods remain the same, results can vary greatly depending on the data and questions being examined. The document cautions that SNA results could reveal private information or be used in ways that are dangerous or nonsensical. It advocates for cooperation between researchers and keeping applications of SNA simple and focused on cooperation rather than division.
Open Data and Data Journalism
This document discusses open data and data journalism. It provides definitions of open data, describes various open data portals from around the world, and organizations that support open data like the Open Data Institute. It also defines data journalism and discusses data expeditions that have been conducted in Russia to train journalists in open data skills. Case studies and outcomes of previous data expeditions in Russia are summarized.
Dmitriy Kolesov - GIS as an environment for integration and analysis of spati...
This document demonstrates how GIS can be used to solve the traveling salesman problem. It summarizes preparing spatial data like digital elevation models and land use classification, analyzing terrain properties and travel costs, and identifying the optimal travel path. Raster maps are created showing slope, terrain type, and travel cost. The optimal path is identified as the route with the lowest cumulative cost based on factors like slope and land cover that influence travel speed. The document shows how GIS integrates diverse spatial data sources and analysis methods to solve real-world problems.
Alexey Mikhaylichenko - Automatic Detection of Bone Contours in X-Ray Images
This document summarizes an algorithm for automatically segmenting and detecting joints in x-ray images. The algorithm involves several steps: (1) computing an edge map of the image, (2) determining binarization thresholds, (3) thinning edges, (4) binarizing the image, and (5) chaining edges together. The algorithm is compared to the Canny edge detector and is shown to achieve a 74% success rate on joint images. Processing time is improved by implementing a multi-threaded version. Challenges include false edge detection and discontinuities between edge fragments.
Станислав Кралин, Сайтсофт - Связанные открытые данные федеральных органов ис...
Связанные открытые данные федеральных органов исполнительной власти:
ситуация, проблемы, перспективы
Евгений Цымбалов, Webgames - Методы машинного обучения для задач игровой анал...
ML is helping a large Russian game developer and publisher called WebGames analyze data from their free-to-play games. They collect over 80 million records daily from their 400k daily players across various platforms. They use ML for tasks like churn prediction, revenue prediction, user classification, A/B testing, balance, and recommendations. Specifically, they build 30 different models to predict LTV for users based on their behavior in the first 30 days. They also use kNN and cohort-based approaches for user classification and Bayesian A/B testing to dynamically adjust testing over time. Rule-based modeling and midgame support based on classification help balance games. Content recommendations are done through static and dynamic clustering.
Александр Москвичев, EveResearch - Алгоритмы анализа данных в маркетинговых и...
The document discusses various economic models related to utility and consumer choice. It introduces concepts like cardinal and ordinal utility and discusses modeling utility as a probability of success. It also discusses simple models of consumer choice that involve choosing a product based on type and brand or type and price. Additionally, it discusses models where neighbors' choices or prices can influence individual choices and mentions discounts and bundles. Graphs are shown comparing product turnover before and after implementing a neighbors effect model.
Петр Ермаков, HeadHunter - Модерация резюме: от людей к роботам. Машинное обу...
Модерация резюме: от людей к роботам. Машинное обучение в компании HeadHunter
More Related Content
Viewers also liked
Iosif Itkin - Network models for exchange trade analysis
The document discusses software testing tools from Exactpro Systems for validating trading systems and ensuring data reconciliation. It introduces several tools the company offers: ClearTH for post-trade testing; MiniRobots for multi-threaded Java testing; Dolphin for market surveillance testing; Shsha for post-transactional analysis; Load Injector for load testing; and Sailfish for end-to-end testing. It also provides background on software quality assurance processes and examples of financial technology failures like the 2012 Knight Capital incident and issues with Facebook's NASDAQ IPO cross.
Dmitriy Ignatov - AIST'2014 Opening
The document summarizes information about the AIST 2014 conference, including that it received 74 submissions, mostly from Russian authors. Key highlights included the selection process, publication of accepted papers in Springer's Communications in Computer and Information Science series, and organization by a committee from Russia, UK, and other countries. It also lists sponsors and invited speakers for the conference.
Nicolay Lyfenko - Conceptual scheme for text classification system
This document presents the conceptual scheme for a text classification system. The goals of the system are to compare classical classification methods to the JSM method and choose the best one for a particular task, and to automatically generate hypotheses from text data. The JSM method uses rules of plausible reasoning and cognitive procedures like induction, analogy, and abduction to identify patterns in data and enable prediction. It represents an original set of logical combinatorial technologies for data mining.
Нургуль Маматова - Применение модели векторной авторегрессии для анализа потр...
This study analyzed the relationship between electricity consumption and other factors like tariffs using a VAR model. The results of the variance decomposition showed that tariff shocks did not impact consumption for the first 5 years but led to significant changes thereafter. The impulse response analysis found that tariff shocks reduced electricity consumption significantly after 5 years, with consumption returning to previous levels only by the 21st year. Therefore, the government's 2014 policy to reduce consumption through higher tariffs would start showing effects after 2019.
Борис Парфененков - Сравнение методов оценки качества изображений
This document appears to be a report on image quality metrics from Parfenenkov B.V. and Panachev M.A. of UrFU and AIST in 2014. It analyzes the effects of various image shifts, noise levels, blurring, and JPEG compression on common image quality metrics like PSNR, LMQ, SCSSIM, and VDP. The document concludes by thanking the audience for their attention.
Trends and challanges for IT in Knowledge Management
Yury Kupriyanov is the head of practice for enterprise crowdsourcing and knowledge management at WikiVote, which specializes in creating crowdsourcing platforms for citizen participation in drafting laws and strategic documents. He discusses knowledge management strategies and techniques, noting that mainstream approaches are now organizational, pull-based, personalized, and people-oriented, while Russian companies tend toward more techno-centric, push-based and codification-focused models. Information technology on its own does not generate business value but can accelerate existing processes, both in collecting and analyzing data as well as coordinating information flow and decision making.
Rita Gaibadullina - Automatic defect recognition in corrosion logging using m...
The document describes an algorithm to automatically recognize corrosion in oil wells using data from Magnetic Imaging Defectoscopy (MID). The algorithm constructs drift panels from MID sensor data, then binary maps to identify significant deviations indicating corrosion. It was found to accurately separate defects between the first and second barriers when configured for major defects over 10% metal loss. However, for smaller corrosion intervals under 10%, many false defects were detected, complicating the data. With appropriate parameters, the algorithm can detect 89% of first barrier and 93% of second barrier corrosion.
Елена Малютина - Оценка параметров хаотического процесса с помощью Ukf-фильтр...
This document discusses using the Unscented Kalman Filter (UKF) to estimate parameters and forecast chaotic systems. It aims to improve forecast accuracy by identifying the chaotic component of time series processes using nonlinear dynamic models. The UKF is applied to a logistic map model example to check its effectiveness. It is also applied to communication traffic data to forecast values and residues shows good approximation. The UKF method shows potential for parameter estimation and forecasting of real-world chaotic systems.
Dialogue systems and personal assistants
This presentation covers dialogue systems: their definition, basic structure (covering all modules: natural language understanding, dialogue manager, natural language generation), evaluation and the way they can be used. We also provide details about future directions and discusses current personal assistants: SIRI, S-Voice, Cortana, Maluuba etc.
Alexander Semenov - Recent Advances in Social Network Analysis
This document discusses the field of social network analysis (SNA). It provides examples of different books, journals, authors, articles, data, methods, and applications of SNA. It notes that while SNA methods remain the same, results can vary greatly depending on the data and questions being examined. The document cautions that SNA results could reveal private information or be used in ways that are dangerous or nonsensical. It advocates for cooperation between researchers and keeping applications of SNA simple and focused on cooperation rather than division.
Open Data and Data Journalism
This document discusses open data and data journalism. It provides definitions of open data, describes various open data portals from around the world, and organizations that support open data like the Open Data Institute. It also defines data journalism and discusses data expeditions that have been conducted in Russia to train journalists in open data skills. Case studies and outcomes of previous data expeditions in Russia are summarized.
Dmitriy Kolesov - GIS as an environment for integration and analysis of spati...
This document demonstrates how GIS can be used to solve the traveling salesman problem. It summarizes preparing spatial data like digital elevation models and land use classification, analyzing terrain properties and travel costs, and identifying the optimal travel path. Raster maps are created showing slope, terrain type, and travel cost. The optimal path is identified as the route with the lowest cumulative cost based on factors like slope and land cover that influence travel speed. The document shows how GIS integrates diverse spatial data sources and analysis methods to solve real-world problems.
Viewers also liked (15)
Iosif Itkin - Network models for exchange trade analysis
Iosif Itkin - Network models for exchange trade analysis
Nicolay Lyfenko - Conceptual scheme for text classification system
Nicolay Lyfenko - Conceptual scheme for text classification system
Нургуль Маматова - Применение модели векторной авторегрессии для анализа потр...
Нургуль Маматова - Применение модели векторной авторегрессии для анализа потр...
Konstantion Vorontsov - Additive regularization of matrix decompositons and p...
Konstantion Vorontsov - Additive regularization of matrix decompositons and p...
Bulat Fatkulin - The Afghanistan chapter of the chinese online encyclopedia b...
Bulat Fatkulin - The Afghanistan chapter of the chinese online encyclopedia b...
Борис Парфененков - Сравнение методов оценки качества изображений
Борис Парфененков - Сравнение методов оценки качества изображений
Rostislav Yavorskiy - AIST'2014 Closing Presentation
Rostislav Yavorskiy - AIST'2014 Closing Presentation
Trends and challanges for IT in Knowledge Management
Trends and challanges for IT in Knowledge Management
Rita Gaibadullina - Automatic defect recognition in corrosion logging using m...
Rita Gaibadullina - Automatic defect recognition in corrosion logging using m...
Елена Малютина - Оценка параметров хаотического процесса с помощью Ukf-фильтр...
Елена Малютина - Оценка параметров хаотического процесса с помощью Ukf-фильтр...
Alexander Semenov - Recent Advances in Social Network Analysis
Alexander Semenov - Recent Advances in Social Network Analysis
Dmitriy Kolesov - GIS as an environment for integration and analysis of spati...
Dmitriy Kolesov - GIS as an environment for integration and analysis of spati...
More from AIST
Alexey Mikhaylichenko - Automatic Detection of Bone Contours in X-Ray Images
This document summarizes an algorithm for automatically segmenting and detecting joints in x-ray images. The algorithm involves several steps: (1) computing an edge map of the image, (2) determining binarization thresholds, (3) thinning edges, (4) binarizing the image, and (5) chaining edges together. The algorithm is compared to the Canny edge detector and is shown to achieve a 74% success rate on joint images. Processing time is improved by implementing a multi-threaded version. Challenges include false edge detection and discontinuities between edge fragments.
Станислав Кралин, Сайтсофт - Связанные открытые данные федеральных органов ис...
Связанные открытые данные федеральных органов исполнительной власти:
ситуация, проблемы, перспективы
Евгений Цымбалов, Webgames - Методы машинного обучения для задач игровой анал...
ML is helping a large Russian game developer and publisher called WebGames analyze data from their free-to-play games. They collect over 80 million records daily from their 400k daily players across various platforms. They use ML for tasks like churn prediction, revenue prediction, user classification, A/B testing, balance, and recommendations. Specifically, they build 30 different models to predict LTV for users based on their behavior in the first 30 days. They also use kNN and cohort-based approaches for user classification and Bayesian A/B testing to dynamically adjust testing over time. Rule-based modeling and midgame support based on classification help balance games. Content recommendations are done through static and dynamic clustering.
Александр Москвичев, EveResearch - Алгоритмы анализа данных в маркетинговых и...
The document discusses various economic models related to utility and consumer choice. It introduces concepts like cardinal and ordinal utility and discusses modeling utility as a probability of success. It also discusses simple models of consumer choice that involve choosing a product based on type and brand or type and price. Additionally, it discusses models where neighbors' choices or prices can influence individual choices and mentions discounts and bundles. Graphs are shown comparing product turnover before and after implementing a neighbors effect model.
Петр Ермаков, HeadHunter - Модерация резюме: от людей к роботам. Машинное обу...
Модерация резюме: от людей к роботам. Машинное обучение в компании HeadHunter
Иосиф Иткин, Exactpro - TBA
1) Exactpro is a specialist QA firm focused on testing financial systems that was acquired by the London Stock Exchange Group in 2015.
2) The London Stock Exchange Group is a leading international exchange group that traces its history back to 1698 and has over 5,500 employees.
3) Exactpro uses automated testing tools like Sailfish and ClearTH to test systems, as well as techniques like formal verification, crowd-sourced testing, and machine learning.
Nikolay Karpov - Evolvable Semantic Platform for Facilitating Knowledge Exchange
This document describes an evolvable semantic platform called EXPERTIZE that was developed to facilitate knowledge exchange between experts at a university. EXPERTIZE analyzes unstructured text from news and matches it to the skills of university experts, as defined in their personal ontologies, in order to recommend relevant experts. It uses a latent Dirichlet allocation algorithm to perform the semantic matching. The system was implemented and evaluated, showing its ability to successfully recommend experts and categories for news items.
George Moiseev - Classification of E-commerce Websites by Product Categories
This document describes a study that classified e-commerce websites by the products they sell. It discusses preprocessing web pages, extracting features using TF-IDF with additional weighting for tags, and classifying pages using a support vector machine. The results show that considering information from other pages in addition to the main page improved classification accuracy, with an average F-score of 0.81 for product type classification when using all page information with the tag weighting.
Elena Bruches - The Hybrid Approach to Part-of-Speech Disambiguation
The document describes a hybrid approach to part-of-speech disambiguation that combines neural networks and manually crafted rules. The algorithm uses neural networks to generate a set of possible part-of-speech tags for each word, and rule-based tagging to generate another set. The final set of tags is the intersection of these two sets, or their union if the intersection is empty. The approach achieved 96.11% precision on one corpus and 86.39% precision on another larger corpus.
Marina Danshina - The methodology of automated decryption of znamenny chants
1. The researchers created an automated system called "Computer Semiography" to decode Znamenny chants. The system consists of 5 modules: inputting chants into a database, reviewing manuscripts, forming linguistic and translation models, decoding chants, and a music editor.
2. The system can decode chants using either linear or Znamenny notation by applying rules from dictionaries and books. Researchers first build dictionaries from sources then use them to transform manuscripts into a linear notation.
3. The methodology allows producing three main components for decoding chants: a dictionary with translation rules, a translated manuscript version, and language and translation models. The work developed software to input, edit, and view chants in the database
Edward Klyshinsky - The Corpus of Syntactic Co-occurences: the First Glance
The document discusses the Corpus of Syntactic Co-occurrences, which aims to provide a corpus for students learning Russian that contains correct word combinations. It notes existing corpora like the Russian National Corpus are too large and technical for beginners. The CoSyCo extracts unambiguous syntactic phrases from Russian texts that could help learners. It uses various news and technical texts totaling over 15 billion words. Examples of extracted phrases are provided. The CoSyCo site is mentioned and future plans outlined, such as enlarging the phrase list, filtering repeats and strange combinations, improving the design, and making the co-occurrence database clearer.
Galina Lavrentyeva - Anti-spoofing Methods for Automatic Speaker Verification...
This document discusses anti-spoofing methods for automatic speaker verification systems. It summarizes various spoofing methods like replay attacks, voice conversion, and text-to-speech synthesis that attempt to manipulate biometric systems. The document then outlines the ASVspoof 2015 challenge on spoofing detection and the system submitted by the authors that achieved 2nd place. It details the authors' system including front-end preprocessing, feature extraction using magnitude, phase and high-level features, and back-end classifiers like SVM and neural networks. The system fused multiple feature types to achieve robust spoofing detection.
Oleksandr Frei and Murat Apishev - Parallel Non-blocking Deterministic Algori...
This document describes parallel algorithms for topic modeling, including synchronous, asynchronous, and deterministic asynchronous algorithms. The synchronous offline algorithm splits the document collection into batches and has each thread process one batch at a time. The asynchronous online algorithm has processor threads process batches concurrently while a merger thread accumulates and merges results to recalculate model parameters. To make the algorithm deterministic, the deterministic asynchronous approach has each thread process batches and write results directly without a merger thread.
Kaytoue Mehdi - Finding duplicate labels in behavioral data: an application f...
The document discusses identifying duplicate labels, or aliases, in behavioral data from e-sports games. It presents a method to analyze confusion matrices from predictive models to identify pairs of labels that concentrate confusion, indicating they may belong to the same player using different aliases. The method extracts fuzzy concepts from the confusion matrix and scores candidate pairs based on their cosine similarity to rank and filter the most likely alias pairs. Experimental settings on real e-sports datasets are also discussed.
Valeri Labunets - The bichromatic excitable Schrodinger metamedium
This document describes research into modeling wave phenomena like particle motion and interference using a cellular automata approach called an excitable metamedium. It can simulate the Schrodinger equation by representing diffusion as complex numbers across cells. The researchers extended this to use triplet "color" numbers for diffusion coefficients, allowing visualization of properties like hue, saturation and lightness. Experiments demonstrated particle motion, interference and blending effects using different color diffusion values. Unusual geometries were also explored by changing the definition of the imaginary unit, affecting the behavior of color wave propagation in interesting ways.
Valeri Labunets - Fast multiparametric wavelet transforms and packets for ima...
This document discusses multiparametric wavelet transforms (WDT). It describes the structure of WDT, which is characterized by two sets of coefficients (h-coefficients and g-coefficients) related by a matrix equation. It also discusses arbitrary cyclic wavelet transforms (AWT) and their representation using Jacobi-Givens rotations and stairs-like structures. An example of an 8-level AWT is presented using these concepts.
Alexander Karkishchenko - Threefold Symmetry Detection in Hexagonal Images Ba...
This document discusses a method for detecting threefold symmetry in hexagonal images using finite Eisenstein fields. It begins with an introduction to symmetry detection and issues that arise when applying existing continuous techniques to digital images. It then describes finite Eisenstein fields, which are constructed as finite fields analogous to the complex integers. Elements of these fields correspond naturally to hexagons, allowing hexagonal images to be represented as functions over the fields. Polar coordinate transformations are introduced to represent field elements in exponential form, enabling the transfer of continuous symmetry detection methods to digital hexagonal images. In summary, the document proposes a novel approach for symmetry detection in hexagonal images based on the algebraic structure of finite Eisenstein fields.
Artyom Makovetskii - An Efficient Algorithm for Total Variation Denoising
This document summarizes a research paper that analyzes the total variation denoising algorithm. It presents the following key points:
1. The total variation denoising model aims to minimize the sum of a fidelity term measuring noise and a regularization term measuring total variation.
2. The solution space can be reduced from bounded variation functions to piecewise constant functions on a given partition.
3. Explicit solutions are described for small values of the regularization parameter λ using Strong-Chan formulas, and these solutions are used to iteratively reduce the problem size and λ value.
4. The properties of extremal functions are proved, including uniqueness and behavior at discontinuity points depending on the sign of neighboring
More from AIST (20)
Alexey Mikhaylichenko - Automatic Detection of Bone Contours in X-Ray Images
Alexey Mikhaylichenko - Automatic Detection of Bone Contours in X-Ray Images
Алена Ильина и Иван Бибилов, GoTo - GoTo школы, конкурсы и хакатоны
Алена Ильина и Иван Бибилов, GoTo - GoTo школы, конкурсы и хакатоны
Станислав Кралин, Сайтсофт - Связанные открытые данные федеральных органов ис...
Станислав Кралин, Сайтсофт - Связанные открытые данные федеральных органов ис...
Павел Браславский,Velpas - Velpas: мобильный визуальный поиск
Павел Браславский,Velpas - Velpas: мобильный визуальный поиск
Евгений Цымбалов, Webgames - Методы машинного обучения для задач игровой анал...
Евгений Цымбалов, Webgames - Методы машинного обучения для задач игровой анал...
Александр Москвичев, EveResearch - Алгоритмы анализа данных в маркетинговых и...
Александр Москвичев, EveResearch - Алгоритмы анализа данных в маркетинговых и...
Петр Ермаков, HeadHunter - Модерация резюме: от людей к роботам. Машинное обу...
Петр Ермаков, HeadHunter - Модерация резюме: от людей к роботам. Машинное обу...
Nikolay Karpov - Evolvable Semantic Platform for Facilitating Knowledge Exchange
Nikolay Karpov - Evolvable Semantic Platform for Facilitating Knowledge Exchange
George Moiseev - Classification of E-commerce Websites by Product Categories
George Moiseev - Classification of E-commerce Websites by Product Categories
Elena Bruches - The Hybrid Approach to Part-of-Speech Disambiguation
Elena Bruches - The Hybrid Approach to Part-of-Speech Disambiguation
Marina Danshina - The methodology of automated decryption of znamenny chants
Marina Danshina - The methodology of automated decryption of znamenny chants
Edward Klyshinsky - The Corpus of Syntactic Co-occurences: the First Glance
Edward Klyshinsky - The Corpus of Syntactic Co-occurences: the First Glance
Galina Lavrentyeva - Anti-spoofing Methods for Automatic Speaker Verification...
Galina Lavrentyeva - Anti-spoofing Methods for Automatic Speaker Verification...
Oleksandr Frei and Murat Apishev - Parallel Non-blocking Deterministic Algori...
Oleksandr Frei and Murat Apishev - Parallel Non-blocking Deterministic Algori...
Kaytoue Mehdi - Finding duplicate labels in behavioral data: an application f...
Kaytoue Mehdi - Finding duplicate labels in behavioral data: an application f...
Valeri Labunets - The bichromatic excitable Schrodinger metamedium
Valeri Labunets - The bichromatic excitable Schrodinger metamedium
Valeri Labunets - Fast multiparametric wavelet transforms and packets for ima...
Valeri Labunets - Fast multiparametric wavelet transforms and packets for ima...
Alexander Karkishchenko - Threefold Symmetry Detection in Hexagonal Images Ba...
Alexander Karkishchenko - Threefold Symmetry Detection in Hexagonal Images Ba...
Artyom Makovetskii - An Efficient Algorithm for Total Variation Denoising
Artyom Makovetskii - An Efficient Algorithm for Total Variation Denoising
Recently uploaded
Compositions of iron-meteorite parent bodies constrainthe structure of the pr...
Magmatic iron-meteorite parent bodies are the earliest planetesimals in the Solar System,and they preserve information about conditions and planet-forming processes in thesolar nebula. In this study, we include comprehensive elemental compositions andfractional-crystallization modeling for iron meteorites from the cores of five differenti-ated asteroids from the inner Solar System. Together with previous results of metalliccores from the outer Solar System, we conclude that asteroidal cores from the outerSolar System have smaller sizes, elevated siderophile-element abundances, and simplercrystallization processes than those from the inner Solar System. These differences arerelated to the formation locations of the parent asteroids because the solar protoplane-tary disk varied in redox conditions, elemental distributions, and dynamics at differentheliocentric distances. Using highly siderophile-element data from iron meteorites, wereconstruct the distribution of calcium-aluminum-rich inclusions (CAIs) across theprotoplanetary disk within the first million years of Solar-System history. CAIs, the firstsolids to condense in the Solar System, formed close to the Sun. They were, however,concentrated within the outer disk and depleted within the inner disk. Future modelsof the structure and evolution of the protoplanetary disk should account for this dis-tribution pattern of CAIs.
Synopsis presentation VDR gene polymorphism and anemia (2).pptx
I am the PhD scholar of FND department, Assam down town University
seed production, Nursery & Gardening.pdf
This presentation offers a general idea of the structure of seed, seed production, management of seeds and its allied technologies. It also offers the concept of gene erosion and the practices used to control it. Nursery and gardening have been widely explored along with their importance in the related domain.
Candidate young stellar objects in the S-cluster: Kinematic analysis of a sub...
Context. The observation of several L-band emission sources in the S cluster has led to a rich discussion of their nature. However, a definitive answer to the classification of the dusty objects requires an explanation for the detection of compact Doppler-shifted Brγ emission. The ionized hydrogen in combination with the observation of mid-infrared L-band continuum emission suggests that most of these sources are embedded in a dusty envelope. These embedded sources are part of the S-cluster, and their relationship to the S-stars is still under debate. To date, the question of the origin of these two populations has been vague, although all explanations favor migration processes for the individual cluster members. Aims. This work revisits the S-cluster and its dusty members orbiting the supermassive black hole SgrA* on bound Keplerian orbits from a kinematic perspective. The aim is to explore the Keplerian parameters for patterns that might imply a nonrandom distribution of the sample. Additionally, various analytical aspects are considered to address the nature of the dusty sources. Methods. Based on the photometric analysis, we estimated the individual H−K and K−L colors for the source sample and compared the results to known cluster members. The classification revealed a noticeable contrast between the S-stars and the dusty sources. To fit the flux-density distribution, we utilized the radiative transfer code HYPERION and implemented a young stellar object Class I model. We obtained the position angle from the Keplerian fit results; additionally, we analyzed the distribution of the inclinations and the longitudes of the ascending node. Results. The colors of the dusty sources suggest a stellar nature consistent with the spectral energy distribution in the near and midinfrared domains. Furthermore, the evaporation timescales of dusty and gaseous clumps in the vicinity of SgrA* are much shorter ( 2yr) than the epochs covered by the observations (≈15yr). In addition to the strong evidence for the stellar classification of the D-sources, we also find a clear disk-like pattern following the arrangements of S-stars proposed in the literature. Furthermore, we find a global intrinsic inclination for all dusty sources of 60 ± 20◦, implying a common formation process. Conclusions. The pattern of the dusty sources manifested in the distribution of the position angles, inclinations, and longitudes of the ascending node strongly suggests two different scenarios: the main-sequence stars and the dusty stellar S-cluster sources share a common formation history or migrated with a similar formation channel in the vicinity of SgrA*. Alternatively, the gravitational influence of SgrA* in combination with a massive perturber, such as a putative intermediate mass black hole in the IRS 13 cluster, forces the dusty objects and S-stars to follow a particular orbital arrangement. Key words. stars: black holes– stars: formation– Galaxy: center– galaxies: star formation
一比一原版美国佩斯大学毕业证如何办理
原版一模一样【微信：741003700 】【美国佩斯大学毕业证成绩单】【微信：741003700 】学位证，留信认证（真实可查，永久存档）原件一模一样纸张工艺/offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原。
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
【主营项目】
一.毕业证【q微741003700】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【q/微741003700】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
办理美国佩斯大学毕业证【微信：741003700 】外观非常简单，由纸质材料制成，上面印有校徽、校名、毕业生姓名、专业等信息。
办理美国佩斯大学毕业证【微信：741003700 】格式相对统一，各专业都有相应的模板。通常包括以下部分：
校徽：象征着学校的荣誉和传承。
校名:学校英文全称
授予学位：本部分将注明获得的具体学位名称。
毕业生姓名：这是最重要的信息之一，标志着该证书是由特定人员获得的。
颁发日期：这是毕业正式生效的时间，也代表着毕业生学业的结束。
其他信息：根据不同的专业和学位，可能会有一些特定的信息或章节。
办理美国佩斯大学毕业证【微信：741003700 】价值很高，需要妥善保管。一般来说，应放置在安全、干燥、防潮的地方，避免长时间暴露在阳光下。如需使用，最好使用复印件而不是原件，以免丢失。
综上所述，办理美国佩斯大学毕业证【微信：741003700 】是证明身份和学历的高价值文件。外观简单庄重，格式统一，包括重要的个人信息和发布日期。对持有人来说，妥善保管是非常重要的。
TOPIC OF DISCUSSION: CENTRIFUGATION SLIDESHARE.pptx
Centrifugation is a powerful technique used in laboratories to separate components of a heterogeneous mixture based on their density. This process utilizes centrifugal force to rapidly spin samples, causing denser particles to migrate outward more quickly than lighter ones. As a result, distinct layers form within the sample tube, allowing for easy isolation and purification of target substances.
Reaching the age of Adolescence- Class 8
This is a presentation on understanding the age of adolescence.
Mending Clothing to Support Sustainable Fashion_CIMaR 2024.pdf
Ozturkcan, S., Berndt, A., & Angelakis, A. (2024). Mending clothing to support sustainable fashion. Presented at the 31st Annual Conference by the Consortium for International Marketing Research (CIMaR), 10-13 Jun 2024, University of Gävle, Sweden.
Gadgets for management of stored product pests_Dr.UPR.pdf
Insectsplayamajorroleinthedeteriorationoffoodgrainscausingbothquantitativeandqualitativelosses
Wellprovedthatnogranariescanbefilledwithgrainswithoutinsectsastheharvestedproducecontainegg(or)larvae(or)pupae(or)adultinsectinthembecauseoffieldcarryoverinfestationwhichcannotbeavoidedindevelopingcountrieslikeIndia
Simpletechnologiesfortimelydetectionofinsectsinthestoredproduceandtherebyplantimelycontrolmeasures
BIRDS DIVERSITY OF SOOTEA BISWANATH ASSAM.ppt.pptx
Ahota Beel, nestled in Sootea Biswanath Assam , is celebrated for its extraordinary diversity of bird species. This wetland sanctuary supports a myriad of avian residents and migrants alike. Visitors can admire the elegant flights of migratory species such as the Northern Pintail and Eurasian Wigeon, alongside resident birds including the Asian Openbill and Pheasant-tailed Jacana. With its tranquil scenery and varied habitats, Ahota Beel offers a perfect haven for birdwatchers to appreciate and study the vibrant birdlife that thrives in this natural refuge.
Signatures of wave erosion in Titan’s coasts
The shorelines of Titan’s hydrocarbon seas trace flooded erosional landforms such as river valleys; however, it isunclear whether coastal erosion has subsequently altered these shorelines. Spacecraft observations and theo-retical models suggest that wind may cause waves to form on Titan’s seas, potentially driving coastal erosion,but the observational evidence of waves is indirect, and the processes affecting shoreline evolution on Titanremain unknown. No widely accepted framework exists for using shoreline morphology to quantitatively dis-cern coastal erosion mechanisms, even on Earth, where the dominant mechanisms are known. We combinelandscape evolution models with measurements of shoreline shape on Earth to characterize how differentcoastal erosion mechanisms affect shoreline morphology. Applying this framework to Titan, we find that theshorelines of Titan’s seas are most consistent with flooded landscapes that subsequently have been eroded bywaves, rather than a uniform erosional process or no coastal erosion, particularly if wave growth saturates atfetch lengths of tens of kilometers.
11.1 Role of physical biological in deterioration of grains.pdf
Storagedeteriorationisanyformoflossinquantityandqualityofbio-materials.
Themajorcausesofdeteriorationinstorage
•Physical
•Biological
•Mechanical
•Chemical
Storageonlypreservesquality.Itneverimprovesquality.
Itisadvisabletostartstoragewithqualityfoodproduct.Productwithinitialpoorqualityquicklydepreciates
Discovery of An Apparent Red, High-Velocity Type Ia Supernova at 𝐳 = 2.9 wi...
We present the JWST discovery of SN 2023adsy, a transient object located in a host galaxy JADES-GS
+
53.13485
−
27.82088
with a host spectroscopic redshift of
2.903
±
0.007
. The transient was identified in deep James Webb Space Telescope (JWST)/NIRCam imaging from the JWST Advanced Deep Extragalactic Survey (JADES) program. Photometric and spectroscopic followup with NIRCam and NIRSpec, respectively, confirm the redshift and yield UV-NIR light-curve, NIR color, and spectroscopic information all consistent with a Type Ia classification. Despite its classification as a likely SN Ia, SN 2023adsy is both fairly red (
�
(
�
−
�
)
∼
0.9
) despite a host galaxy with low-extinction and has a high Ca II velocity (
19
,
000
±
2
,
000
km/s) compared to the general population of SNe Ia. While these characteristics are consistent with some Ca-rich SNe Ia, particularly SN 2016hnk, SN 2023adsy is intrinsically brighter than the low-
�
Ca-rich population. Although such an object is too red for any low-
�
cosmological sample, we apply a fiducial standardization approach to SN 2023adsy and find that the SN 2023adsy luminosity distance measurement is in excellent agreement (
≲
1
�
) with
Λ
CDM. Therefore unlike low-
�
Ca-rich SNe Ia, SN 2023adsy is standardizable and gives no indication that SN Ia standardized luminosities change significantly with redshift. A larger sample of distant SNe Ia is required to determine if SN Ia population characteristics at high-
�
truly diverge from their low-
�
counterparts, and to confirm that standardized luminosities nevertheless remain constant with redshift.
MICROBIAL INTERACTION PPT/ MICROBIAL INTERACTION AND THEIR TYPES // PLANT MIC...
MICROBIAL INTERACTION PPT/ MICROBIAL INTERACTION AND THEIR TYPES // PLANT MIC...ABHISHEK SONI NIMT INSTITUTE OF MEDICAL AND PARAMEDCIAL SCIENCES , GOVT PG COLLEGE NOIDA
Microbial interaction
Microorganisms interacts with each other and can be physically associated with another organisms in a variety of ways.
One organism can be located on the surface of another organism as an ectobiont or located within another organism as endobiont.
Microbial interaction may be positive such as mutualism, proto-cooperation, commensalism or may be negative such as parasitism, predation or competition
Types of microbial interaction
Positive interaction: mutualism, proto-cooperation, commensalism
Negative interaction: Ammensalism (antagonism), parasitism, predation, competition
I. Mutualism:
It is defined as the relationship in which each organism in interaction gets benefits from association. It is an obligatory relationship in which mutualist and host are metabolically dependent on each other.
Mutualistic relationship is very specific where one member of association cannot be replaced by another species.
Mutualism require close physical contact between interacting organisms.
Relationship of mutualism allows organisms to exist in habitat that could not occupied by either species alone.
Mutualistic relationship between organisms allows them to act as a single organism.
Examples of mutualism:
i. Lichens:
Lichens are excellent example of mutualism.
They are the association of specific fungi and certain genus of algae. In lichen, fungal partner is called mycobiont and algal partner is called
II. Syntrophism:
It is an association in which the growth of one organism either depends on or improved by the substrate provided by another organism.
In syntrophism both organism in association gets benefits.
Compound A
Utilized by population 1
Compound B
Utilized by population 2
Compound C
utilized by both Population 1+2
Products
In this theoretical example of syntrophism, population 1 is able to utilize and metabolize compound A, forming compound B but cannot metabolize beyond compound B without co-operation of population 2. Population 2is unable to utilize compound A but it can metabolize compound B forming compound C. Then both population 1 and 2 are able to carry out metabolic reaction which leads to formation of end product that neither population could produce alone.
Examples of syntrophism:
i. Methanogenic ecosystem in sludge digester
Methane produced by methanogenic bacteria depends upon interspecies hydrogen transfer by other fermentative bacteria.
Anaerobic fermentative bacteria generate CO2 and H2 utilizing carbohydrates which is then utilized by methanogenic bacteria (Methanobacter) to produce methane.
ii. Lactobacillus arobinosus and Enterococcus faecalis:
In the minimal media, Lactobacillus arobinosus and Enterococcus faecalis are able to grow together but not alone.
The synergistic relationship between E. faecalis and L. arobinosus occurs in which E. faecalis require folic acid
Recently uploaded (20)
Compositions of iron-meteorite parent bodies constrainthe structure of the pr...
Compositions of iron-meteorite parent bodies constrainthe structure of the pr...
Synopsis presentation VDR gene polymorphism and anemia (2).pptx
Synopsis presentation VDR gene polymorphism and anemia (2).pptx
Candidate young stellar objects in the S-cluster: Kinematic analysis of a sub...
Candidate young stellar objects in the S-cluster: Kinematic analysis of a sub...
TOPIC OF DISCUSSION: CENTRIFUGATION SLIDESHARE.pptx
TOPIC OF DISCUSSION: CENTRIFUGATION SLIDESHARE.pptx
Juaristi, Jon. - El canon espanol. El legado de la cultura española a la civi...
Juaristi, Jon. - El canon espanol. El legado de la cultura española a la civi...
Mending Clothing to Support Sustainable Fashion_CIMaR 2024.pdf
Mending Clothing to Support Sustainable Fashion_CIMaR 2024.pdf
Gadgets for management of stored product pests_Dr.UPR.pdf
Gadgets for management of stored product pests_Dr.UPR.pdf
BIRDS DIVERSITY OF SOOTEA BISWANATH ASSAM.ppt.pptx
BIRDS DIVERSITY OF SOOTEA BISWANATH ASSAM.ppt.pptx
11.1 Role of physical biological in deterioration of grains.pdf
11.1 Role of physical biological in deterioration of grains.pdf
Discovery of An Apparent Red, High-Velocity Type Ia Supernova at 𝐳 = 2.9 wi...
Discovery of An Apparent Red, High-Velocity Type Ia Supernova at 𝐳 = 2.9 wi...
MICROBIAL INTERACTION PPT/ MICROBIAL INTERACTION AND THEIR TYPES // PLANT MIC...
MICROBIAL INTERACTION PPT/ MICROBIAL INTERACTION AND THEIR TYPES // PLANT MIC...
Marina Danshina - Semiotic system of musical texts
- 1. Danshina M.V., Philippovich A.Yu., Golubeva I.V. Bauman Moscow State Technical University SEMIOTIC SYSTEM OF MUSICAL TEXTS
- 2. Znamyas - special semiographic signs, each of them corresponds to a certain sequence of sounds of different duration and altitude. In the manuscripts contain more than 500 znamyas. In various libraries of Russia contains over 3000 manuscripts, dated XI-XIX centuries. 2 Musical infocognitive technologies and Znamenny chants
- 3. Построение модели музыкальных произведений Relationship Sign Model 𝜶- relationship 𝑍1 𝛼 𝑍2 𝜷- relationship 𝑍1 𝛽 𝑍2 𝜸- relationship 𝑍1 𝛾 𝑍2 Model of syntactic relationships of the musical text: 𝑴 = 𝑴 𝜶, 𝑴 𝜷, 𝑴 𝜸 Frequency dependence of the semiographic signs rank: 𝑭𝒓𝒆𝒄 = 𝒂 ∗ 𝒆−𝒃∗𝒓𝒂𝒏𝒌 a=[500;600] – depending on the manuscript b=0,07.