This document discusses the evolution of instructional technology over time from the 1940s to the present. It suggests that learning from history shows how simple technologies can lead to greater innovations. Additionally, it notes that technology plays a significant role in supporting education and that we should appreciate the technologies we have now as previous eras did not have as many options.
The document defines and compares different types of computer networks and network topologies. It discusses local area networks (LANs), metropolitan area networks (MANs), and wide area networks (WANs), and how they differ based on geographic scope. It also covers common network architectures like client-server and peer-to-peer, and topologies like bus, ring, and star networks, explaining their basic structures and differences.
This document discusses the evolution of instructional technology over time from the 1940s to the present. It suggests that learning from history shows how simple technologies can lead to greater innovations. Additionally, it notes that technology plays a significant role in supporting education and that we should appreciate the technologies we have now as previous eras did not have as many options.
The document defines and compares different types of computer networks and network topologies. It discusses local area networks (LANs), metropolitan area networks (MANs), and wide area networks (WANs), and how they differ based on geographic scope. It also covers common network architectures like client-server and peer-to-peer, and topologies like bus, ring, and star networks, explaining their basic structures and differences.
This document is an introduction to a book about journeying toward spiritual wholeness. It discusses the concept of journeying in faith traditions like pilgrimages in medieval Christianity. It notes that Celtic Christians saw life as a journey to find Christ. The document invites readers to embrace God's vision of restoring creation to wholeness by consciously living each moment journeying toward God and God's purposes for restoration. It suggests that Lenten soul searching is often superficial and challenges readers to deeper reflection and change.
The document describes a family literacy program called Wayne-Metro Even Start that offers four programs to help families: adult education to help adults earn a GED or improve English skills; parent education on child development, health, and job skills; parent-child interactive literacy with reading activities for families; and early childhood education including Head Start preschool. The programs provide small classes, trained teachers, books and materials, and field trips to help adults improve skills and parents and children learn together.
Este documento resume los principales trastornos somatomorfos, incluyendo el trastorno de somatización, el trastorno de conversión, el trastorno de dolor somatomorfo, el trastorno dismórfico corporal y el trastorno de hipocondriasis. Describe las características clínicas, epidemiológicas y de diagnóstico diferencial de cada uno, así como los enfoques de tratamiento que suelen incluir psicoterapia individual o de grupo y medicación psicofarmacológica.
A wiki is a web page that allows multiple users to easily edit and collaborate on content. It provides teachers with a free tool to empower students to participate in group projects by creating and sharing pages, files, pictures and videos. Wikis give teachers control over who can view and edit pages, with a history of changes tracked by user and timestamp. Setting up a wiki is as easy as using Microsoft Word.
El documento habla sobre la visualización y el proceso cognitivo de generar imágenes mentales sin estímulos sensoriales. Explica que la visualización se basa en procesos mentales que permiten acceder a la memoria a largo plazo y crear representaciones mentales. También menciona que la visualización puede usarse como herramienta de aprendizaje.
Slides utilisés lors de la keynote pour les développeurs sur l'événement adobe RIA2010 au palais des congrès avec Michaël Chaize, Yann Chevalier et David Deraedt.
1) This document discusses how to brew coffee at home and provides a simple ROI model to analyze the costs and benefits.
2) It estimates that the initial year investment for home coffee brewing equipment would be around $68.50 per month but could save around $776 per year compared to daily coffee shop purchases.
3) In addition to financial savings, brewing coffee at home provides intangible benefits like socializing, being environmentally friendly, and increased work-life balance.
The document presents slides on managing individual stress in organizations. It discusses the concept of stress and stressors, and how an individual's personality, perceptions, and experiences can influence their stress levels. Sources of work stressors are identified as workload, job conditions, role conflicts, career development, and interpersonal relations. The slides describe the physiological, emotional, and behavioral effects of stress, as well as its impacts on health and job performance. Both individual initiatives like time management and relaxation techniques, as well as organizational initiatives like modifying work stressors and employee assistance programs are presented as ways to manage stress.
This document discusses multimedia concepts, hardware and software, development processes, and current and future developments. It defines multimedia and discusses its uses in various fields and elements. It also covers the hardware, editing software, authoring tools, and web editors needed for multimedia. The document examines user interface principles, development teams, and the phases of multimedia development. Finally, it explores immersive multimedia and its applications in education, business, and entertainment.
Classification and clustering in media monitoring: from knowledge engineering...Lidia Pivovarova
This PhD thesis examines classification and clustering techniques for media monitoring, including news grouping, multi-label text classification, and business polarity detection. It focuses on applying these methods to the PULS media monitoring system, which collects over 10,000 news articles daily. The thesis contributes novel algorithms and datasets for grouping news into stories based on named entity salience, large-scale multi-label text classification balancing training sets, and the first dataset and methods for entity-level business polarity detection.
The document describes a Russian paraphrase corpus created by the authors. It contains over 8000 sentence pairs annotated as precise, loose, or non-paraphrases using crowdsourcing. The corpus was collected from news headlines and aims to capture the most important events. The authors evaluate different models for classifying sentence pairs and find that combining linguistic features improves performance over individual feature types. Graphs built from the corpus can reveal connected events more completely than human annotations alone.
This document discusses the work of Antiplagiat Research, which tackles challenging natural language processing and plagiarism detection problems. It outlines their focus on cross-language plagiarism detection, machine-generated text detection, and intrinsic plagiarism detection. It also describes Antiplagiat Research's collaboration opportunities and their participation in evaluating plagiarism detection algorithms through workshops like Dialogue Evaluation.
This document summarizes a study that analyzed 47,410 Instagram images from Saint Petersburg over one year to understand human experience in different urban areas. The images were clustered using Google tags and user hashtags into topics like portraits, cars, flowers. The clusters were mapped geographically to see their spatial distribution. Clusters like hairstyle and animals were evenly distributed, while clothing, fitness and architecture were more detached, indicating urban segregation. The combination of semantic and geospatial analysis of social media images provided new insights into urban life not previously available from traditional data sources.
The document discusses the Pullenti NER Engine and its use in semantic similarity tasks. It presents the Semantics-Oriented Linguistic Processor (SOLP) which establishes text segments containing similar semantic units. It then describes the hybrid linguistic and machine learning approach used by the Pullenti-based engine, including the two-step Semantic Expansion Algorithm. Performance figures and evaluation metrics for Pullenti's named entity recognition are also provided.
This document is an introduction to a book about journeying toward spiritual wholeness. It discusses the concept of journeying in faith traditions like pilgrimages in medieval Christianity. It notes that Celtic Christians saw life as a journey to find Christ. The document invites readers to embrace God's vision of restoring creation to wholeness by consciously living each moment journeying toward God and God's purposes for restoration. It suggests that Lenten soul searching is often superficial and challenges readers to deeper reflection and change.
The document describes a family literacy program called Wayne-Metro Even Start that offers four programs to help families: adult education to help adults earn a GED or improve English skills; parent education on child development, health, and job skills; parent-child interactive literacy with reading activities for families; and early childhood education including Head Start preschool. The programs provide small classes, trained teachers, books and materials, and field trips to help adults improve skills and parents and children learn together.
Este documento resume los principales trastornos somatomorfos, incluyendo el trastorno de somatización, el trastorno de conversión, el trastorno de dolor somatomorfo, el trastorno dismórfico corporal y el trastorno de hipocondriasis. Describe las características clínicas, epidemiológicas y de diagnóstico diferencial de cada uno, así como los enfoques de tratamiento que suelen incluir psicoterapia individual o de grupo y medicación psicofarmacológica.
A wiki is a web page that allows multiple users to easily edit and collaborate on content. It provides teachers with a free tool to empower students to participate in group projects by creating and sharing pages, files, pictures and videos. Wikis give teachers control over who can view and edit pages, with a history of changes tracked by user and timestamp. Setting up a wiki is as easy as using Microsoft Word.
El documento habla sobre la visualización y el proceso cognitivo de generar imágenes mentales sin estímulos sensoriales. Explica que la visualización se basa en procesos mentales que permiten acceder a la memoria a largo plazo y crear representaciones mentales. También menciona que la visualización puede usarse como herramienta de aprendizaje.
Slides utilisés lors de la keynote pour les développeurs sur l'événement adobe RIA2010 au palais des congrès avec Michaël Chaize, Yann Chevalier et David Deraedt.
1) This document discusses how to brew coffee at home and provides a simple ROI model to analyze the costs and benefits.
2) It estimates that the initial year investment for home coffee brewing equipment would be around $68.50 per month but could save around $776 per year compared to daily coffee shop purchases.
3) In addition to financial savings, brewing coffee at home provides intangible benefits like socializing, being environmentally friendly, and increased work-life balance.
The document presents slides on managing individual stress in organizations. It discusses the concept of stress and stressors, and how an individual's personality, perceptions, and experiences can influence their stress levels. Sources of work stressors are identified as workload, job conditions, role conflicts, career development, and interpersonal relations. The slides describe the physiological, emotional, and behavioral effects of stress, as well as its impacts on health and job performance. Both individual initiatives like time management and relaxation techniques, as well as organizational initiatives like modifying work stressors and employee assistance programs are presented as ways to manage stress.
This document discusses multimedia concepts, hardware and software, development processes, and current and future developments. It defines multimedia and discusses its uses in various fields and elements. It also covers the hardware, editing software, authoring tools, and web editors needed for multimedia. The document examines user interface principles, development teams, and the phases of multimedia development. Finally, it explores immersive multimedia and its applications in education, business, and entertainment.
Classification and clustering in media monitoring: from knowledge engineering...Lidia Pivovarova
This PhD thesis examines classification and clustering techniques for media monitoring, including news grouping, multi-label text classification, and business polarity detection. It focuses on applying these methods to the PULS media monitoring system, which collects over 10,000 news articles daily. The thesis contributes novel algorithms and datasets for grouping news into stories based on named entity salience, large-scale multi-label text classification balancing training sets, and the first dataset and methods for entity-level business polarity detection.
The document describes a Russian paraphrase corpus created by the authors. It contains over 8000 sentence pairs annotated as precise, loose, or non-paraphrases using crowdsourcing. The corpus was collected from news headlines and aims to capture the most important events. The authors evaluate different models for classifying sentence pairs and find that combining linguistic features improves performance over individual feature types. Graphs built from the corpus can reveal connected events more completely than human annotations alone.
This document discusses the work of Antiplagiat Research, which tackles challenging natural language processing and plagiarism detection problems. It outlines their focus on cross-language plagiarism detection, machine-generated text detection, and intrinsic plagiarism detection. It also describes Antiplagiat Research's collaboration opportunities and their participation in evaluating plagiarism detection algorithms through workshops like Dialogue Evaluation.
This document summarizes a study that analyzed 47,410 Instagram images from Saint Petersburg over one year to understand human experience in different urban areas. The images were clustered using Google tags and user hashtags into topics like portraits, cars, flowers. The clusters were mapped geographically to see their spatial distribution. Clusters like hairstyle and animals were evenly distributed, while clothing, fitness and architecture were more detached, indicating urban segregation. The combination of semantic and geospatial analysis of social media images provided new insights into urban life not previously available from traditional data sources.
The document discusses the Pullenti NER Engine and its use in semantic similarity tasks. It presents the Semantics-Oriented Linguistic Processor (SOLP) which establishes text segments containing similar semantic units. It then describes the hybrid linguistic and machine learning approach used by the Pullenti-based engine, including the two-step Semantic Expansion Algorithm. Performance figures and evaluation metrics for Pullenti's named entity recognition are also provided.
The document discusses the reliability of results from corpus research and introduces a solution called GICR that provides automatic result analysis. GICR allows users to see statistics on search areas to check for bias or lack of homogeneity compared to the entire corpus by displaying metadata attributes like URLs, document IDs, author information, region, gender, and genre. It aims to address the problem that simply getting IPM and KWIC search results does not indicate if the results are biased by providing analysis directly in the interface.
This document discusses methods for estimating a user's actual age and gender when those values are not directly provided. It outlines using social graph analysis, natural language processing, analyzing user interests, and statistical methods. For social graph analysis, it examines using connections like classmates to infer age and analyzing local graph properties. NLP looks at gender-specific language in user profiles while interest analysis matches users to gender-biased communities. Statistics applies overall patterns in the data to make estimations.
This document presents mathematical models of information dissemination and warfare. It discusses:
1) Models of information spreading through both vertical (centralized) and horizontal (interpersonal) flows, and how the combination of these determines information dynamics in society.
2) Models of information adoption and forgetting over time, and the effects of incomplete media coverage and two-step perception.
3) Models of information warfare between two information sources, examining the necessary conditions for one to win over the other.
4) Extensions of these models including periodic destabilization, additional factors like forgetting, and a model of individual choice-making during information warfare.
This document discusses the analysis and modeling of complex systems. It describes analyzing the problem, modeling the system, and determining both quantitative and qualitative parameters. An example is given of assigning weights to different quantitative parameters. The document recommends creating a coordinate system and basis to define qualitative parameters. It formulates the final task as creating a concept for a basis of a quality parameter system. It seeks colleagues to partner with on further developing these analysis methods.
This document discusses trend detection at OK. It describes the multi-step process used: text extraction from logs, language detection, tokenization, dictionary extraction, vectorization, deduplication, statistics calculation, trend identification, clustering of trending terms, extraction of relevant documents, and visualization of trends. Both batch and streaming approaches are discussed to address the need for timely trend detection. Technologies used include Apache Kafka, YARN, Spark, Samza, Lucene and ELKI.
1. The researcher analyzed quantitative characteristics such as entropy, readability, lexical diversity, frequencies of words, and parts of speech for different text genres including scientific texts, news articles, and student writings.
2. The analysis found that student writings had higher entropy and readability than news articles or scientific texts. News articles had higher lexical diversity and frequencies of common words.
3. To evaluate the accuracy of a developed Old Irish lemmatizer, the researcher applied it to a test corpus of 840 tokens, of which 186 were unknown words. The lemmatizer correctly predicted lemmas for 84 of the unknown words, achieving an accuracy of around 60% for unknown words.
This document discusses methods for evaluating clustering validity indices (CVIs) that measure the quality of clustering results. It proposes using human assessments of clustered data as ground truth to evaluate how well different CVIs match human judgments. An experimental evaluation of 19 CVIs on 41 datasets clustered using 6 algorithms showed that none of the CVIs perfectly matched human assessments. The document concludes that while no universal CVI exists, meta-learning from past human assessments could help select the most appropriate CVI for a new clustering problem.
The document provides information on various artificial intelligence and voice assistant technologies including:
1) JUST AI and Eugene Goostman chatbot, a winner of the 2014 Turing 100 Chatbots competition.
2) Everyday Assistant, a voice assistant available on mobile devices.
3) Dusi Voice Assistant with over 1 million downloads on Google Play.
4) Era of messengers for chatting with personal assistants without voice.
5) ElSmart, the first Android phone for blind users.
6) Zenbot, an open source framework for developing voice assistants across platforms.
This document proposes a data augmentation method for image sentiment analysis using hashtags. It involves collecting a small set of manually labeled images and their hashtags, learning to predict sentiment labels from the hashtags using machine learning, and using this model to automatically label more images. Preliminary results show the hashtag-predicted labels match human labels with 83-95% accuracy. However, more testing is needed on a general set of images to fully evaluate the method's effectiveness.
This document proposes a method for continuous time series alignment in human action recognition. It defines continuous versions of time series, warping paths, and the dynamic time warping (DTW) distance. The method finds the optimal continuous warping path by approximating solutions to a cost minimization problem. An experiment applies the continuous DTW to classify human activities from accelerometer data, achieving classification accuracy close to the discrete DTW method. The continuous approach solves issues with resampling data and has potential for improved approximations and optimization methods.
2. Автоматическое понимание смысла текста
1. Морфологический анализ
2. Построение дерева разбора
3. Извлечение интересующей информации
4. Сохранение информации
3. Артефакт – шум или дефект
инструмента, которые выглядят
похожими на объект
10. Благодарим за внимание
Боярский Кирилл Кириллович
СПб Госуниверситет информационных технологий,
механики и оптики
E-mail: boyarin9@yandex.ru
Каневский Евгений Александрович
Санкт-Петербургский экономико-математический
институт РАН
E-mail: kanev@emi.nw.ru
Лезин Генрих Валерьевич
Санкт-Петербургский экономико-математический
институт РАН
E-mail: lezin@emi.nw.ru