Работа посвящена осмыслению и комплексному описанию когнитивных признаков, смыслового объема и способов репрезентации концепта «Тайна» в русской языковой картине мира. Материал исследования составили: 190 лексических единиц со значением тайны в толковании слова, извлеченных из толковых, фразеологических, семантических, синонимических и антонимических словарей русского языка; 590 расширенных контекстов, представленных в Национальном корпусе русского языка; 149 ассоциатов, полученных в результате психолингвистического эксперимента. В первой главе работы рассматриваются теоретические принципы и концептуальная база исследования, раскрываются ключевые понятия «языковая картина мира», «концепт» и «концептосфера», а также описываются методики концептуального анализа и ассоциативного эксперимента. Во второй главе рассматриваются семантическая структура концепта «Тайна», его когнитивные признаки и смысловой объем концепта. Проводится анализ дискурсивного варьирования лексем, являющихся базовыми репрезентантами концепта «Тайна», на основе данных, собранных в Национальном корпусе русского языка. После этого производится проверка семантического содержания исследуемого концепта на основе результатов, полученных в ходе проведения цепочечного ассоциативного эксперимента. Материалы исследования могут быть использованы в преподавании дисциплин гуманитарного профиля («Когнитивная лингвистика», «Лингвокультурология»), а также при создании учебных пособий, словарей концептов или лингвокультурных тезаурусов. В приложении представлена иллюстрация структуры концепта «Тайна». / The thesis is devoted to the understanding and comprehensive description of cognitive features, semantic scope and ways of representing the concept of “taina” (“secret”) in the Russian linguistic picture of the world. The research material consisted of 190 lexical units with the meaning of secret in the meaning of the word, extracted from explanatory, phraseological, semantic, synonymic and antonymic dictionaries of the Russian language; 590 extended contexts presented in the National Corpus of the Russian Language; 149 associates obtained during a psycholinguistic experiment. The first chapter of the thesis examines the theoretical principles and conceptual framework of the research. It reveals the key concepts of “linguistic picture of the world”, “concept” and “conceptual sphere”, and describes the methods of conceptual analysis and associative experiment. The second chapter examines the semantic structure of the concept of “Secret”, its cognitive features and the semantic scope of the concept. The analysis of the discursive variation of lexemes, which are the basic representatives of the concept of “Secret”, is carried out on the basis of data collected in the National Corpus of the Russian Language. The semantic content of the concept is checked based on the results obtained during the associative chain experiment. The research materials can be used in teaching humanities disciplines (“Cognitive Linguistics”, “Linguoculturology”), as well as in creating textbooks, conceptual dictionaries or linguistic and cultural thesauruses. The appendix provides an illustration of the structure of the concept of “Secret”.

Ausgehend von dem Fokus der Ereignisrepräsentation auf die Patiens-Rolle (Personen und Objekte, die der im Ereignis stattfindenden Zustandsveränderung unterliegen) wird untersucht, ob die sich während des Ereignisses verändernden Merkmale des Patiens Bestandteil des Ereigniswissens sind und zur Repräsentation des chronologischen Verlaufs von Ereignissen beitragen. Dies wurde anhand der Bearbeitung von antonymen Adjektiven geprüft, die Anfangs- und Endmerkmale des Patiens eines zuvor dargebotenen Ereignisverbs benennen. Ausgewertet wurden behaviorale Daten und Blickbewegungen. Dabei wurden mit zeit-impliziten und zeit-expliziten Aufgaben folgende Ergebnisse erzielt: (1) Die Ereignisrepräsentation enthält sich verändernde Merkmale des Patiens. (2) Die Merkmale des Patiens werden abhängig von der angewandten Strategie (sprachliche vs. Simulationsstrategie) in einer chronologischen Abfolge mental simuliert. (3) Endmerkmale haben gegenüber Anfangsmerkmalen Priorität in der Ereignisrepräsentation. Sie sind im Ereignisverb impliziert und können so sprachlich bereitgestellt werden. (4) Die Zeiteffekte (Chronologie und Zielpräferenz) treten bereits unter automatischen Bedingungen (SOA 250 ms, zeit-implizite Aufgabe) auf. (5) Antwortstrategien wurden insbesondere durch Blickbewegungen indiziert. Antwortstrategien modifizieren die Zeiteffekte und geben Aufschluss über den Anteil der sprachlichen Verarbeitung und der Simulation. Insgesamt lässt sich aus den Untersuchungen schließen, dass die Veränderung des Patiens und damit Aspekte des zeitlichen Verlaufs von Ereignissen zur Ereignisrepräsentation gehören. Die Befundlage deutet auf ein dynamisches Zusammenspiel von sprachlichen und Simulationsprozessen bei der Repräsentation des zeitlichen Verlaufs hin. / This thesis comprises three investigations into the mental representation of events. Proceeding on the assumption that representations of events focus on the role of the patient (the person or object undergoing a change of state during the event), it is investigated whether the changing features of the patient form part of event knowledge and whether or not they contribute to the way in which the temporal progression of events is represented. The study involved time-implicit and time-explicit tasks that required participants to process antonymous adjectives denoting the source and resulting features of the patient involved in an event prime. Behavioural and eye movement data were analysed and the following results obtained: (1) The changing features of the patient form part of the representation of the event. (2) Depending on the strategy adopted (linguistic vs. simulation), patient features can be mentally simulated in chronological order. (3) Resulting features play a more prominent role in event representations than source features. Resulting features are implied by the event verb and can thus be accessed linguistically. (4) Temporal effects (preference for resulting features, effect of chronology) already occur in the automatic condition (SOA 250 ms, time-implicit tasks). (5) Response strategies are indicated by eye movements. Response strategies modify temporal effects and provide an indication of how much linguistic processing is taking place and how much simulation. All in all the investigations show that the change undergone by the patient, i.e. the aspect which expresses the temporal progression of an event, forms part of the representation of that event. The results point to a dynamic interplay of linguistic and simulation processing in the representation of temporal progression.

La tâche la plus délicate d'un système de reconnaissance faciale est la phase d'extraction de caractéristiques significatives et discriminantes. Dans le cadre de cette thèse, nous nous sommes focalisés sur cette tâche avec comme objectif l'élaboration d'une représentation de visage robuste aux variations majeures suivantes: variations d'éclairage, de pose, de temps, images de qualité différentes (vidéosurveillance). Par ailleurs, nous avons travaillé également dans une optique de traitement temps réel. Tout d'abord, en tenant compte des caractéristiques d'orientation des traits principaux du visages (yeux, bouche), une nouvelle variante nommée ELBP de célèbre descripteur LBP a été proposée. Elle s'appuie sur les informations de micro-texture contenues dans une ellipse horizontale. Ensuite, le descripteur EPOEM est construit afin de tenir compte des informations d'orientation des contours. Puis un descripteur nommée PLPQMC qui intégre des informations obtenues par filtrage monogénique dans le descripteur LPQ est proposé. Enfin le descripteur LPOG intégrant des informations de gradient est présenté. Chacun des descripteurs proposés est testé sur les 3 bases d'images AR, FERET et SCface. Il en résulte que les descripteurs PLPQMC et LPOG sont les plus performants et conduisent à des taux de reconnaissance comparables voire supérieur à ceux des meilleurs méthodes de l'état de l'art. / Centered around feature extraction, the core task of any Face recognition system, our objective is devising a robust facial representation against major challenges, such as variations of illumination, pose and time-lapse and low resolution probe images, to name a few. Besides, fast processing speed is another crucial criterion. Towards these ends, several methods have been proposed through out this thesis. Firstly, based on the orientation characteristics of the facial information and important features, like the eyes and mouth, a novel variant of LBP, referred as ELBP, is designed for encoding micro patterns with the usage of an horizontal ellipse sample. Secondly, ELBP is exploited to extract local features from oriented edge magnitudes images. By this, the Elliptical Patterns of Oriented Edge Magnitudes (EPOEM) description is built. Thirdly, we propose a novel feature extraction method so called Patch based Local Phase Quantization of Monogenic components (PLPQMC). Lastly, a robust facial representation namely Local Patterns of Gradients (LPOG) is developed to capture meaningful features directly from gradient images. Chiefs among these methods are PLPQMC and LPOG as they are per se illumination invariant and blur tolerant. Impressively, our methods, while offering comparable or almost higher results than that of existing systems, have low computational cost and are thus feasible to deploy in real life applications.

Test 3F is used to diagnose the extent of motor speech disorder – dysarthria for czech speakers. The evaluation of dysarthric speech is distorted by subjective assessment. The motivation behind this thesis is that there are not many automatic and objective analysis tools that can be used to evaluate phonation, articulation, prosody and respiration of speech disorder. The aim of this diploma thesis is to identify, implement and test acoustic features of speech that could be used to objectify and automate the evaluation. These features should be easily interpretable by the clinician. It is assumed that the evaluation could be more precise because of the detailed analysis that acoustic features provide. The performance of these features was tested on database of 151 czech speakers that consists of 51 healthy speakers and 100 patients. Statistical analysis and methods of machine learning were used to identify the correlation between features and subjective assesment. 27 of total 30 speech tasks of Test 3F were identified as suitable for automatic evaluation. Within the scope of this thesis only 10 tasks of Test 3F were tested because only a limited part of the database could be preprocessed. The result of statistical analysis is 14 features that were most useful for the test evaluation. The most significant features are: MET (respiration), relF0SD (intonation), relSEOVR (voice intensity – prosody). The lowest prediction error of the machine learning regression models was 7.14 %. The conclusion is that the evaluation of most of the tasks of Test 3F can be automated. The results of analysis of 10 tasks shows that the most significant factor in dysarthria evaluation is limited expiration, monotone voice and low variabilty of speech intensity.

Purpose of this thesis is to design and implement a tool for automatic categorization of photos. The proposed tool is based on the Bag of Words classification method and it is realized as a plug-in for the XnView image viewer. The plug-in is able to classify a selected group of photos into predefined image categories. Subsequent notation of image categories is written directly into IPTC metadata of the picture as a keyword.

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Android is the second most targeted operating system for malware authors and to counter the development of Android malware, more knowledge about their behavior is needed. There are mainly two approaches to analyze Android malware, namely static and dynamic analysis. Recently in 2017, a study and well labeled dataset, named AMD (Android Malware Dataset), consisting of over 24,000 malware samples was released. It is divided into 135 varieties based on similar malicious behavior, retrieved through static analysis of the file classes.dex in the APK of each malware, whereas the labeled features were determined by manual inspection of three samples in each variety. However, static analysis is known to be weak against obfuscation techniques, such as repackaging or dynamic loading, which can be exploited to avoid the analysis. In this study the second approach is utilized and all malware in the dataset are analyzed at run-time in order to monitor their dynamic behavior. However, analyzing malware at run-time has known weaknesses as well, as it can be avoided through, for instance, anti-emulator techniques. Therefore, the study aimed to explore the available sandbox environments for dynamic analysis, study the effectiveness of fingerprinting Android malware using one of the tools and investigate whether static features from AMD and the dynamic analysis correlate. For instance, by an attempt to classify the samples based on similar dynamic features and calculating the Pearson Correlation Coefficient (r) for all combinations of features from AMD and the dynamic analysis. The comparison of tools for dynamic analysis, showed a need of development, as most popular tools has been released for a long time and the common factor is a lack of continuous maintenance. As a result, the choice of sandbox environment for this study ended up as Droidbox, because of aspects like ease of use/install and easily adaptable for large scale analysis. Based on the dynamic features extracted with Droidbox, it could be shown that Android malware are more similar to the varieties which they belong to. The best metric for classifying samples to varieties, out of four investigated metrics, turned out to be Cosine Similarity, which received an accuracy of 83.6% for the entire dataset. The high accuracy indicated a correlation between the dynamic features and static features which the varieties are based on. Furthermore, the Pearson Correlation Coefficient confirmed that the manually extracted features, used to describe the varieties, and the dynamic features are correlated to some extent, which could be partially confirmed by a manual inspection in the end of the study.

With an increased amount of connected devices and the recent surge of artificial intelligence, the two technologies need more attention to fully bloom as a useful tool for creating new and exciting products. As machine learning traditionally is implemented on computers and online servers this thesis explores the possibility to extend machine learning to an embedded environment. This evaluation of existing machine learning in embedded systems with limited processing capa-bilities has been carried out in the specific context of an application involving classification of basic human movements. Previous research and implementations indicate that it is possible with some limitations, this thesis aims to answer which hardware limitation is affecting clas-sification and what classification accuracy the system can reach on an embedded device. The tests included human motion data from an existing dataset and included four different machine learning algorithms on three devices. Support Vector Machine (SVM) are found to be performing best com-pared to CART, Random Forest and AdaBoost. It reached a classification accuracy of 84,69% between six different included motions with a clas-sification time of 16,88 ms per classification on a Cortex M4 processor. This is the same classification accuracy as the one obtained on the host computer with more computational capabilities. Other hardware and machine learning algorithm combinations had a slight decrease in clas-sification accuracy and an increase in classification time. Conclusions could be drawn that memory on the embedded device affect which al-gorithms could be run and the complexity of data that can be extracted in form of features. Processing speed is mostly affecting classification time. Additionally the performance of the machine learning system is connected to the type of data that is to be observed, which means that the performance of different setups differ depending on the use case. / Antalet uppkopplade enheter ökar och det senaste uppsvinget av ar-tificiell intelligens driver forskningen framåt till att kombinera de två teknologierna för att både förbättra existerande produkter och utveckla nya. Maskininlärning är traditionellt sett implementerat på kraftfulla system så därför undersöker den här masteruppsatsen potentialen i att utvidga maskininlärning till att köras på inbyggda system. Den här undersökningen av existerande maskinlärningsalgoritmer, implemen-terade på begränsad hårdvara, har utförts med fokus på att klassificera grundläggande mänskliga rörelser. Tidigare forskning och implemen-tation visar på att det ska vara möjligt med vissa begränsningar. Den här uppsatsen vill svara på vilken hårvarubegränsning som påverkar klassificering mest samt vilken klassificeringsgrad systemet kan nå på den begränsande hårdvaran. Testerna inkluderade mänsklig rörelsedata från ett existerande dataset och inkluderade fyra olika maskininlärningsalgoritmer på tre olika system. SVM presterade bäst i jämförelse med CART, Random Forest och AdaBoost. Den nådde en klassifikationsgrad på 84,69% på de sex inkluderade rörelsetyperna med en klassifikationstid på 16,88 ms per klassificering på en Cortex M processor. Detta är samma klassifikations-grad som en vanlig persondator når med betydligt mer beräknings-resurserresurser. Andra hårdvaru- och algoritm-kombinationer visar en liten minskning i klassificeringsgrad och ökning i klassificeringstid. Slutsatser kan dras att minnet på det inbyggda systemet påverkar vilka algoritmer som kunde köras samt komplexiteten i datan som kunde extraheras i form av attribut (features). Processeringshastighet påverkar mest klassificeringstid. Slutligen är prestandan för maskininlärningsy-stemet bunden till typen av data som ska klassificeras, vilket betyder att olika uppsättningar av algoritmer och hårdvara påverkar prestandan olika beroende på användningsområde.

Магистерская диссертация «Рекламные буклеты направлений подготовки вуза: редакторский аспект» состоит из двух частей: теоретической и практической. Теоретическая часть посвящена определению буклета вуза как вида издания, описана концепция вузовского буклета, определены основные структурно-содержательные и визуально-полиграфические особенности рекламного буклета вуза. Практическая часть исследования посвящена редакторскому анализу рекламных буклетов направлений подготовки УГИ УрФУ на основе теоретической части. Результатами анализа являются выработанные предложения по усовершенствованию буклетов направлений подготовки вуза. Список литературы содержит 63 источника. / Master's thesis "Advertising booklets of the directions of preparation of the university: the editorial aspect" consists of two parts: theoretical and practical. The theoretical part is devoted to the definition of a university booklet as a type of publication, the concept of a university booklet is described, the main structural, content and visual-polygraphic features of the university advertising booklet are defined. The practical part of the research is devoted to the editorial analysis of advertising booklets of the directions of the preparation of the UMI UFU preparation on the basis of the theoretical part. The results of the analysis are the elaborated proposals for the improvement of the booklets of the directions of preparation of the university. References contains 63 sources.

Цель исследования, проведенного в диссертации, заключается в выявлении соответствия концепций научных гуманитарных журналов с требованиями, предъявляемым к публикациям научных работников на примере России и Польши. Для того, чтобы изучить специфическую основу формирования научного журнала, его функции и особенности, в первой главе работы рассмотрены понятия научного журнала, а также нормативно-правовые акты, регламентирующие требования, предъявляемые к публикациям российских и польских научных работников. Также в первой главе рассмотрено изменение понятия научного журнала и классификации с исторической точки зрения. Во второй части работы проводится концептуальный анализ научных гуманитарных журналов России и Польши, что позволило выявить соответствие концепций российских и польских научных гуманитарных журналов в связи с изменяющимися требованиями к научным публикациям, результаты анализа могут быть использованы для дальнейших исследований в этой области. / The purpose of the research conducted in the dissertation is to identify the conformity of the concepts of scientific humanitarian journals with the requirements for publications of scientific workers using the example of Russia and Poland. In order to study the specific basis for the formation of a scientific journal, its functions and features, the first chapter of the work considers the concepts of a scientific journal, as well as the legal acts regulating the requirements for publications of Russian and Polish scientists. The first chapter also discusses a change in the concept of a scientific journal and classification from a historical point of view. In the second part of the work, a conceptual analysis of the scientific humanitarian journals of Russia and Poland is carried out, which made it possible to identify the conformity of the concepts of Russian and Polish scientific humanitarian journals in connection with the changing requirements for scientific publications; the analysis results can be used for further research in this area.