Relevant bibliographies by topics / Visual tasks analysis

Academic literature on the topic 'Visual tasks analysis'

Author: Grafiati
Published: 22 June 2024

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Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Journal articles on the topic "Visual tasks analysis":

1

Alexiev, Kiril, and T. Teodorvakarelsky. "Eye movement analysis in simple visual tasks." Computer Science and Information Systems, no. 00 (2021): 65. http://dx.doi.org/10.2298/csis210418065a.

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The small eye movements in the process of fixation on an image element give us knowledge about the human visual information perception. An indepth analysis of these movements can reveal the influence of personality, mood and mental state of the examined subject on the process of perception. The modern eye tracking technology provides us with the necessary technical means to study these movements. Nevertheless, still a lot of problems remains open. In the present paper two approaches for noise cancellation in the eye-tracker signal and two approaches for microsaccade detection are proposed. The analysis of the obtained results can be a good starting point for interpretation by neurobiologists about the causes of different types of movement and their dependence on the individuality of the observed person and the specific mental and physical condition.
2

Fukuda, Kyosuke. "Analysis of Eyeblink Activity during Discriminative Tasks." Perceptual and Motor Skills 79, no. 3_suppl (December 1994): 1599–608. http://dx.doi.org/10.2466/pms.1994.79.3f.1599.

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To evaluate the blinking pattern during and after cognitive processing, 10 subjects' eyeblinks were recorded by a videotape recording camera placed 100 cm from the subjects' side. The subjects' task was to discriminate two kinds of auditory tones presented serially and to discriminate two kinds of visual stimuli presented serially. Treatments were composed of the baseline condition preexperiment, the visual task with no discrimination, the visual discriminative task, the auditory task with no discrimination, and the auditory discriminative task. The blink rate in each treatment, the temporal distribution of blinks poststimulus, and the blink waveform were evaluated. Although blinks were not inhibited during tasks, frequent blinks after tasks were observed in both modalities. Blinks concentrated between 300 msec. and 800 msec. after the discriminated stimulus and formulated the blink-rate peak. The closing velocity of lid in the blink rate peak was lower after auditory stimulus. Moreover, the lid's opening velocity after the auditory discrimination was higher. These results indicated that the eyelid closed slowly and opened quickly after the auditory discriminative stimulus.
3

Goodall, John R. "An Evaluation of Visual and Textual Network Analysis Tools." Information Visualization 10, no. 2 (April 2011): 145–57. http://dx.doi.org/10.1057/ivs.2011.2.

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User testing is an integral component of user-centered design, but has only rarely been applied to visualization for cyber security applications. This article presents the results of a comparative evaluation between a visualization-based application and a more traditional, table-based application for analyzing computer network packet captures. We conducted this evaluation as part of the user-centered design process. Participants performed both structured, well-defined tasks and exploratory, open-ended tasks with both tools. We measured accuracy and efficiency for the well-defined tasks, number of insights was measured for exploratory tasks and user perceptions were recorded for each tool. The results of this evaluation demonstrated that users performed significantly more accurately in the well-defined tasks, discovered a higher number of insights and demonstrated a clear preference for the visualization tool. The study design presented may be useful for future researchers performing user testing on visualization for cyber security applications.
4

Taylor, Donald H. "An Analysis of Visual Watchkeeping." Journal of Navigation 44, no. 2 (May 1991): 152–58. http://dx.doi.org/10.1017/s0373463300009899.

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Ships' bridge watchkeeping, although the prime task of the officer of the watch, makes very low task demands in terms of information processing and required speed of response compared to most other vigilance tasks. Consequently, performance of the visual lookout task is difficult to describe and evaluate systematically. Results from an on-board observational study show that lookout lapse periods can be economically described by simple mathematical models, which assist in comparison and evaluation of task performance.
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Cole, Jason C., Lisa A. Fasnacht-Hill, Scott K. Robinson, and Caroline Cordahi. "Differentiation of Fluid, Visual, and Simultaneous Cognitive Tasks." Psychological Reports 89, no. 3 (December 2001): 541–46. http://dx.doi.org/10.2466/pr0.2001.89.3.541.

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The constructs of fluid reasoning and spatial visualization (Horn, 1989) as well as the construct of simultaneous processing (Luria, 1966) have been tapped by various cognitive assessment batteries. In order to determine whether these constructs could be differentiated from one another, factor analyses of subtest scores from six cognitive tasks were conducted. Fluid reasoning, spatial visualization, and simultaneous processing emerged as separate factors in the analysis, supporting the hypothesis that these constructs can be differentiated in psychoeducational testing. These results extend the findings of a preliminary study which found factorial differentiation between fluid and simultaneous reasoning.
6

Shimizu, Toshiya, Yoriko Oguchi, Kiyotaka Hoshiai, Keiko Nagashima, Kiyoyuki Yamazaki, Takashi Itoh, and Katsuro Okamoto. "Analysis of cognitive functioning during visual target monitoring tasks (1)." Japanese journal of ergonomics 30, Supplement (1994): 210–11. http://dx.doi.org/10.5100/jje.30.supplement_210.

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Oguchi, Yoriko, Toshiya Shimizu, Kiyotaka Hoshiai, Keiko Nagashima, Kiyoyuki Yamazaki, Takashi Itoh, and Katsuro Okamoto. "Analysis of cognitive functioning during visual target monitoring tasks (2)." Japanese journal of ergonomics 30, Supplement (1994): 212–13. http://dx.doi.org/10.5100/jje.30.supplement_212.

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Mateeff, Stefan, Biljana Genova, and Joachim Hohnsbein. "Visual Analysis of Changes of Motion in Reaction-Time Tasks." Perception 34, no. 3 (March 2005): 341–56. http://dx.doi.org/10.1068/p5184.

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Subjects observed a random-dot pattern moving uniformly in the vertical direction (vector V1). The motion vector abruptly changed to V2, both in speed and direction simultaneously. It was found that the time of simple reaction to such changes V1 → V2 can be described by a function of a single variable, | w( V1 — V2C) + (1 – w) V2N|, 0 < w < 0.5, where V2C and V2N are the components of V2 collinear with and normal to V1. The choice-reaction time for changes in direction that are accompanied by changes in speed can be described by a function solely of the absolute value of V2N. Unlike the simple-reaction time, the choice-reaction time was independent of the initial speed of motion. The processes that may be engaged in simple and choice reactions to motion are discussed.
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Mecklinger, Axel, Burkhard Maess, Bertram Opitz, Erdmut Pfeifer, Douglas Cheyne, and Harold Weinberg. "A MEG analysis of the P300 in visual discrimination tasks." Electroencephalography and Clinical Neurophysiology/Evoked Potentials Section 108, no. 1 (January 1998): 45–56. http://dx.doi.org/10.1016/s0168-5597(97)00092-0.

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Shin, Bok-Suk, Zezhong Xu, and Reinhard Klette. "Visual lane analysis and higher-order tasks: a concise review." Machine Vision and Applications 25, no. 6 (April 12, 2014): 1519–47. http://dx.doi.org/10.1007/s00138-014-0611-8.

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Journal articles Dissertations / Theses Books

Dissertations / Theses on the topic "Visual tasks analysis":

1

Kerracher, Natalie. "Tasks and visual techniques for the exploration of temporal graph data." Thesis, Edinburgh Napier University, 2017. http://researchrepository.napier.ac.uk/Output/977758.

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This thesis considers the tasks involved in exploratory analysis of temporal graph data, and the visual techniques which are able to support these tasks. There has been an enormous increase in the amount and availability of graph (network) data, and in particular, graph data that is changing over time. Understanding the mechanisms involved in temporal change in a graph is of interest to a wide range of disciplines. While the application domain may differ, many of the underlying questions regarding the properties of the graph and mechanism of change are the same. The research area of temporal graph visualisation seeks to address the challenges involved in visually representing change in a graph over time. While most graph visualisation tools focus on static networks, recent research has been directed toward the development of temporal visualisation systems. By representing data using computer-generated graphical forms, Information Visualisation techniques harness human perceptual capabilities to recognise patterns, spot anomalies and outliers, and find relationships within the data. Interacting with these graphical representations allow individuals to explore large datasets and gain further insightinto the relationships between different aspects of the data. Visual approaches are particularly relevant for Exploratory Data Analysis (EDA), where the person performing the analysis may be unfamiliar with the data set, and their goal is to make new discoveries and gain insight through its exploration. However, designing visual systems for EDA can be difficult, as the tasks which a person may wish to carry out during their analysis are not always known at outset. Identifying and understanding the tasks involved in such a process has given rise to a number of task taxonomies which seek to elucidate the tasks and structure them in a useful way. While task taxonomies for static graph analysis exist, no suitable temporal graph taxonomy has yet been developed. The first part of this thesis focusses on the development of such a taxonomy. Through the extension and instantiation of an existing formal task framework for general EDA, a task taxonomy and a task design space are developed specifically for exploration of temporal graph data. The resultant task framework is evaluated with respect to extant classifications and is shown to address a number of deficiencies in task coverage in existing works. Its usefulness in both the design and evaluation processes is also demonstrated. Much research currently surrounds the development of systems and techniques for visual exploration of temporal graphs, but little is known about how the different types of techniques relate to one another and which tasks they are able to support. The second part of this thesis focusses on the possibilities in this area: a design spaceof the possible visual encodings for temporal graph data is developed, and extant techniques are classified into this space, revealing potential combinations of encodings which have not yet been employed. These may prove interesting opportunities for further research and the development of novel techniques. The third part of this work addresses the need to understand the types of analysis the different visual techniques support, and indeed whether new techniques are required. The techniques which are able to support the different task dimensions are considered. This task-technique mapping reveals that visual exploration of temporalgraph data requires techniques not only from temporal graph visualisation, but also from static graph visualisation and comparison, and temporal visualisation. A number of tasks which are unsupported or less-well supported, which could prove interesting opportunities for future research, are identified. The taxonomies, design spaces, and mappings in this work bring order to the range of potential tasks of interest when exploring temporal graph data and the assortmentof techniques developed to visualise this type of data, and are designed to be of use in both the design and evaluation of temporal graph visualisation systems.
2

Kang, Youn Ah. "Informing design of visual analytics systems for intelligence analysis: understanding users, user tasks, and tool usage." Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/44847.

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Visual analytics, defined as "the science of analytical reasoning facilitated by interactive visual interfaces," emerged several years ago as a new research field. While it has seen rapid growth for its first five years of existence, the main focus of visual analytics research has been on developing new techniques and systems rather than identifying how people conduct analysis and how visual analytics tools can help the process and the product of sensemaking. The intelligence analysis community in particular has not been fully examined in visual analytics research even though intelligence analysts are one of the major target users for which visual analytics systems are built. The lack of understanding about how analysts work and how they can benefit from visual analytics systems has created a gap between tools being developed and real world practices. This dissertation is motivated by the observation that existing models of sensemaking/intelligence analysis do not adequately characterize the analysis process and that many visual analytics tools do not truly meet user needs and are not being used effectively by intelligence analysts. I argue that visual analytics research needs to adopt successful HCI practices to better support user tasks and add utility to current work practices. As the first step, my research aims (1) to understand work processes and practices of intelligence analysts and (2) to evaluate a visual analytics system in order to identify where and how visual analytics tools can assist. By characterizing the analysis process and identifying leverage points for future visual analytics tools through empirical studies, I suggest a set of design guidelines and implications that can be used for both designing and evaluating future visual analytics systems.
3

Mukherjee, Anuradha. "Effect of Secondary Motor and Cognitive Tasks on Timed Up and Go Test in Older Adults." University of Toledo / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1375713209.

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Eziolisa, Ositadimma Nnanna. "Investigation of Capabilities of Observers in a Watch Window Study." Wright State University / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=wright1401889055.

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5

Benkirane, Fatima Ezzahra. "Integration of contextual knowledge in deep Learning modeling for vision-based scene analysis." Electronic Thesis or Diss., Bourgogne Franche-Comté, 2024. http://www.theses.fr/2024UBFCA002.

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La vision par ordinateur a connu une évolution importante, passant des méthodes traditionnelles aux modèles d'apprentissage profond. L’un des principaux objectifs des tâches de vision par ordinateur est d’émuler la perception humaine. En effet, le processus classique effectué par les modèles d’apprentissage profond dépend entièrement des caractéristiques visuelles, reflétant simplement la manière dont les humains perçoivent visuellement leur environnement. Cependant, pour que les humains comprennent l’environnement qui les entoure, leur raisonnement dépend non seulement de leurs capacités visuelles, mais aussi de leurs connaissances pré-acquises. Combler cette différence entre la perception humaine et celle des machines est essentielle afin de parvenir à un raisonnement similaire à celui des humains. Dans cette thèse, nous proposons de nouvelles approches pour améliorer les performances des modèles d’apprentissage profond en intégrant les systèmes basés sur les connaissances dans les réseaux de neuronaux profonds. L'objectif est d’aider ces réseaux à prendre les bonnes décisions en exploitant à la fois les caractéristiques visuelles et les connaissances pour émuler l’analyse visuelle de l’être humain. Ces méthodologies impliquent deux axes principaux. Premièrement, définir la représentation des connaissances pour incorporer des informations utiles à une tâche spécifique de vision. Deuxièmement, examiner comment intégrer ces connaissances dans les réseaux de neurones pour améliorer leurs performances. La première contribution porte sur l'estimation de la profondeur monoculaire. En effet, les humains sont capables d'estimer leur distance par rapport aux objets perçus, même en n’utilisant qu’un seul œil, et ceci en se basant sur les indices monoculaires. Nous proposons d'intégrer ces indices au sein des réseaux de neurones comme un raisonnement similaire à celui des humains pour l'estimation de la profondeur. À cette fin, nous suggérons d'exploiter un modèle ontologique pour représenter l'environnement comme un ensemble de concepts liés par des relations sémantiques. Les informations sur les indices monoculaires sont extraites grâce à un raisonnement effectué sur l'ontologie proposée et sont transférées dans les réseaux de neurones. Le deuxième travail porte sur la tâche de segmentation panoptique qui vise à identifier toutes les instances d’objets capturées dans une image. Nous proposons une approche qui combine les avantages des réseaux de neurones avec des connaissances sur les relations spatiales entre les objets. Nous avons choisi ce type de connaissances car elles peuvent fournir des indices utiles pour résoudre les ambiguïtés et distinguer entre les instances d'objets similaires. Plus précisément, nous proposons une stratégie d'entraînement qui intègre les connaissances dans le processus d'optimisation des réseaux de neurones. L’approche comprend un processus d'extraction et de représentation des connaissances sur les relations spatiales, qui sont incorporées dans l’entraînement sous forme d'une fonction de perte. Afin de valider l'efficacité des approches proposées, nous avons choisi l'environnement urbain et les véhicules autonomes comme principale cas d’application. Ce domaine est particulièrement intéressant car il s'agit d'un axe de recherche novateur en développement continu, avec des implications significatives pour la sécurité et la mobilité des humains. En conclusion, nous avons étudié diverses approches pour représenter les connaissances et les intégrer aux réseaux de neurones. Ces approches valident que l’utilisation combinée de méthodes basées sur les connaissances et celles basées sur les données conduit de manière constante à des résultats améliorés. Le défi principal réside toujours dans le choix des connaissances pertinentes pour chaque tâche, leur représentation et leur intégration de la manière la plus optimale dans l'architecture des réseaus de neurones profonds
Computer vision has made an important evolution starting from traditional methods to advanced Deep Learning (DL) models. One of the goals of computer vision tasks is to effectively emulate human perception. The classical process of DL models is completely dependent on visual features, which only reflects how humans visually perceive their surroundings. However, for humans to comprehensively understand their environment, their reasoning not only depends on what they see but also on their pre-acquired knowledge. Addressing this gap is essential as achieving human-like reasoning requires a seamless combination of data-driven and knowledge-driven methods. In this thesis, we propose new approaches to improve the performance of DL models by integrating Knowledge-Based Systems (KBS) within Deep Neural Networks (DNNs). The goal is to empower these networks to make informed decisions by leveraging both visual features and knowledge to emulate human-like visual analysis. These methodologies involve two main axes. First, define the representation of KBS to incorporate useful information for a specific computer vision task. Second, investigate how to integrate this knowledge into DNNs to enhance their performance. To do so, we worked on two main contributions. The first work focuses on monocular depth estimation. Considering humans as an example, they can estimate their distance with respect to seen objects, even using just one eye, based on what is called monocular cues. Our contribution involves integrating these monocular cues as human-like reasoning for monocular depth estimation within DNNs. For this purpose, we investigate the possibility of directly integrating geometric and semantic information into the monocular depth estimation process. We suggest using an ontology model in a DL context to represent the environment as a structured set of concepts linked with semantic relationships. Monocular cues information is extracted through reasoning performed on the proposed ontology and is fed together with the RGB image in a multi-stream way into the DNNs. Our approach is validated and evaluated on widespread benchmark datasets. The second work focuses on panoptic segmentation task that aims to identify and analyze all objects captured in an image. More precisely, we propose a new informed deep learning approach that combines the strengths of DNNs with some additional knowledge about spatial relationships between objects. We have chosen spatial relationships knowledge for this task because it can provide useful cues for resolving ambiguities, distinguishing between overlapping or similar object instances, and capturing the holistic structure of the scene. More precisely, we propose a novel training methodology that integrates knowledge directly into the DNNs optimization process. Our approach includes a process for extracting and representing spatial relationships knowledge, which is incorporated into the training using a specially designed loss function. The performance of the proposed method was also evaluated on various challenging datasets. To validate the effectiveness of the proposed approaches for combining KBS and DNNs regarding different methodologies, we have chosen the urban environment and autonomous vehicles as our main use case application. This domain is particularly interesting because it is a challenging and novel field in continuous development, with significant implications for the safety, comfort and mobility of humans. As a conclusion, the proposed approaches validate that the integration of knowledge-driven and data-driven methods consistently leads to improved results. Integration improves the learning process for DNNs and enhances results of computer vision tasks, providing more accurate predictions. The challenge always lies in choosing the relevant knowledge for each task, representing it in the best structure to leverage meaningful information, and integrating it most optimally into the DNN architecture
6

Huang, Xiaoke. "USING GRAPH MODELING IN SEVERAL VISUAL ANALYTIC TASKS." Kent State University / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=kent1467738860.

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Mordeglia, Cristina. "The Home-Office Lighting Kit." Thesis, KTH, Ljusdesign, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-297959.

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This Master Thesis, inspired by the relevance that home-offices have assumed as a consequence of the COVID-19 pandemic, originated from the architectural, quantitative, and qualitative analysis of lighting within the author’s student accommodation on KTH Main Campus, in Stockholm (Sweden). As a matter of fact, this background study proved that recommended lighting levels (Illuminance, Contrast Ratio, CCT, CRI, M-EDI, and DER values) were not met, making the space unsuitable and unhealthy to both live and work in. Moreover, evaluating individual lighting preferences, it was demonstrated that flexibility, customizability, and adaptability to daylighting and tasks are fundamental requirements for working from home.Considering the temporary nature of students’ leases, the idea of developing an inexpensive and easily assemblable kit of smart products, aimed at improving lighting in dormitories, came quite naturally.To study the implementation of visual comfort and focus on tasks, literature review, market analysis, quantitative measurements, and hands-on experiments were carried on.Thus, with the gained knowledge and experience, the Home-Office Lighting Kit, an array of commercially available sockets, shades, and smart sources, supporting circadian rhythm and individual preferences, was proposed. Along with it, instructions on set-up and scenarios were provided.Although the overall conclusion was that the market needs products with a better balance between price, sturdiness, and reliability, the lighting conditions within the case study space were substantially improved, making other students interested in doing the same.Eventually, interesting cues for the sector’s development were proposed.
8

Miller, Robert Howard. "A component task analysis of stereoscopic displays." Diss., Virginia Tech, 1994. http://hdl.handle.net/10919/39685.

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Tanner, Ashley E. "Implementation of a Task Analysis to Increase Reliability of the Visual Inspection of Functional Analysis Results." OpenSIUC, 2014. https://opensiuc.lib.siu.edu/theses/1430.

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This study assessed the effects of the use of a task analysis on the reliability of visual inspection for naïve participants. Three undergraduate students in a Special Education program took part in the study. Participants chose responses to graphs displaying functional analysis results in a multielement format, without the task analysis, and then with the task analysis. Only one out of three participants showed an increase in reliability with the use of the task analysis. However, further analyses showed that changes in participant reliability for certain functions appeared to be related to the use of the task analysis.
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Zeried, Ferial M. "Effects of optical blur on visual performance and comfort of computer users." Thesis, Birmingham, Ala. : University of Alabama at Birmingham, 2007. http://www.mhsl.uab.edu/dt/2007p/zeried.pdf.

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Books on the topic "Visual tasks analysis":

1

J, Chipman Laure, and United States. National Aeronautics and Space Administration., eds. A Graph theoretic approach to scene matching. [Washington, DC: National Aeronautics and Space Administration, 1991.

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A. H. C. van der Heijden. Attention in vision: Perception, communication, and action. New York: Psychology Press, 2003.

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Martin, Graham R. What Drives Bird Senses? Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780199694532.003.0008.

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Many tasks could drive the evolution of bird sensory systems. Key candidates are flight, foraging, predator detection, and reproduction. Comparative analysis of visual fields and retinal structures shows functionally significant differences in the vision of even closely related species. These are best explained by foraging being the primary driver of vision in birds, and this is traded-off against the demands of predator detection. The key task is the control of bill position and timing its arrival at a target. This is achieved by the extraction of information from the optic flow-field which expands symmetrically about the bill when it is travelling towards a target. The provision of such flow-fields is the prime function of binocular vision. Informational demands for flight control are met within constraints determined by those for precise bill control. Other sensory capacities also appear to be driven primarily by the informational demands of foraging.
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Baele, Stephane J., Katharine A. Boyd, and Travis G. Coan, eds. ISIS Propaganda. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780190932459.001.0001.

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ISIS Propaganda offers a comprehensive overview and analysis of the Islamic State’s (IS) propaganda. Combining a range of different theoretical perspectives from across the social sciences and using rigorous methods, the authors pursue several interconnected tasks. They trace the origins of IS’s message, they lay bare the strategic logic guiding its evolution, they examine each of its many components (magazines, videos, music, social media, etc.) and show how they work together to radicalize audiences’ worldviews, and they highlight the challenges such a “full-spectrum propaganda” raises in terms of counterterrorism. The volume hence not only represents a one-stop point for any analyst of IS and Salafi-jihadism, but also a rich contribution to the study of text and visual propaganda, radicalization and political violence, and international security.
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Bosse, Heinrich, and Ursula Renner, eds. Literaturwissenschaft. Rombach Wissenschaft – ein Verlag in der Nomos Verlagsgesellschaft, 2021. http://dx.doi.org/10.5771/9783968217970.

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Anyone who reads is automatically directly involved in a world of encounters with words and texts. Literary studies endeavours to make this world accessible, which consists of posing questions and offering answers to them and of setting tasks and providing solutions to them in the field of language. This book aims to focus attention on what we do when we read and write texts. Using examples and encouraging critical participation and analysis, it addresses reading and understanding, plots and storylines, ways of structuring texts, formatting and composing using textual and visual media and the fundamental elements of philological work in five chapters. With contributions by Th. Böning, H. Bosse, R. Campe, B. Dotzler, E. Greber, W. Groddeck, G. Heeg, F.A. Kittler, C. Liebrand, Ch. Lubkoll, G. Neumann, M. Niehaus, Th. Pittrof, U. Renner, M. Schneider, B. Stiegler, Ph. Theisohn, J. Trabant, K. Weimar and D. Wellbery.
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Bosse, Heinrich, and Ursula Renner, eds. Literaturwissenschaft. Rombach Wissenschaft – ein Verlag in der Nomos Verlagsgesellschaft, 2021. http://dx.doi.org/10.5771/9783968217970.

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Anyone who reads is automatically directly involved in a world of encounters with words and texts. Literary studies endeavours to make this world accessible, which consists of posing questions and offering answers to them and of setting tasks and providing solutions to them in the field of language. This book aims to focus attention on what we do when we read and write texts. Using examples and encouraging critical participation and analysis, it addresses reading and understanding, plots and storylines, ways of structuring texts, formatting and composing using textual and visual media and the fundamental elements of philological work in five chapters. With contributions by Th. Böning, H. Bosse, R. Campe, B. Dotzler, E. Greber, W. Groddeck, G. Heeg, F.A. Kittler, C. Liebrand, Ch. Lubkoll, G. Neumann, M. Niehaus, Th. Pittrof, U. Renner, M. Schneider, B. Stiegler, Ph. Theisohn, J. Trabant, K. Weimar and D. Wellbery.
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A. H. C. van der Heijden. Attention in Vision: Perception, Communication and Action. Taylor & Francis Group, 2004.

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A. H. C. van der Heijden. Attention in Vision: Perception, Communication and Action. Taylor & Francis Group, 2004.

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A. H. C. van der Heijden. Attention in Vision: Perception, Communication and Action. Taylor & Francis Group, 2004.

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Baker, Courtney R., ed. Emmett Till, Justice, and the Task of Recognition. University of Illinois Press, 2017. http://dx.doi.org/10.5406/illinois/9780252039485.003.0004.

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This chapter examines how the political ideas that would come to shape the civil rights movement in America were fomented and sometimes nearly thwarted by focusing on the many visual encounters with the dead and disfigured body of Emmett Till—some in the flesh, some mediated by photography. The chapter analyzes how the decision of Mamie Till-Mobley, Emmett Till's mother, to have an open-casket funeral for her son made possible the wide-scale circulation of photographs of his body. An examination of the courtroom in which Till's murderers were tried makes clear the paradoxical uses of his image. This use demonstrates that the political utility of seeing another's disfigured body lies in recognizing that the violence enacted upon the Other is also violence enacted upon the Self. The chapter offers a psychoanalytic and deconstructionist interpretation of recognition, which is figured as a central project in the struggle for black liberation and civil rights.
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Book chapters on the topic "Visual tasks analysis":

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Lin, Liang, Dongyu Zhang, Ping Luo, and Wangmeng Zuo. "Human-Centric Visual Analysis: Tasks and Progress." In Human Centric Visual Analysis with Deep Learning, 15–25. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-2387-4_2.

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Nunes, Afonso, Rui Figueiredo, and Plinio Moreno. "Learning to Perform Visual Tasks from Human Demonstrations." In Pattern Recognition and Image Analysis, 346–58. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-31321-0_30.

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Bhatia, Nitesh, Dibakar Sen, and Anand V. Pathak. "Visual Behavior Analysis of Human Performance in Precision Tasks." In Engineering Psychology and Cognitive Ergonomics, 95–106. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-20373-7_10.

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Conder, Jonathan, Josephine Jefferson, Nathan Pages, Khurram Jawed, Alireza Nejati, and Mark Sagar. "Efficient Transfer Learning for Visual Tasks via Continuous Optimization of Prompts." In Image Analysis and Processing – ICIAP 2022, 297–309. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-06427-2_25.

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Andrienko, Gennady, Natalia Andrienko, Fabian Patterson, Siming Chen, Robert Weibel, Haosheng Huang, Christos Doulkeridis, et al. "Visual Analytics for Characterizing Mobility Aspects of Urban Context." In Urban Informatics, 727–55. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-8983-6_40.

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AbstractVisual analytics science develops principles and methods for efficient human–computer collaboration in solving complex problems. Visual and interactive techniques are used to create conditions in which human analysts can effectively utilize their unique capabilities: the power of seeing, interpreting, linking, and reasoning. Visual analytics research deals with various types of data and analysis tasks from numerous application domains. A prominent research topic is analysis of spatiotemporal data, which may describe events occurring at different spatial locations, changes of attribute values associated with places or spatial objects, or movements of people, vehicles, or other objects. Such kinds of data are abundant in urban applications. Movement data are a quintessential type of spatiotemporal data because they can be considered from multiple perspectives as trajectories, as spatial events, and as changes of space-related attribute values. By example of movement data, we demonstrate the utilization of visual analytics techniques and approaches in data exploration and analysis.
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Bai, Lianfa, Jing Han, and Jiang Yue. "Multi-visual Tasks Based on Night-Vision Data Structure and Feature Analysis." In Night Vision Processing and Understanding, 45–85. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-1669-2_3.

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Wang, Liang, and Jianxin Zhao. "Performance Accelerators." In Architecture of Advanced Numerical Analysis Systems, 191–213. Berkeley, CA: Apress, 2022. http://dx.doi.org/10.1007/978-1-4842-8853-5_7.

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AbstractThe Graphics Processing Unit (GPU) has become one of the most important types of hardware accelerators. It is designed to render 3D graphics and videos and still is core to the gaming industry. Besides creating stunning visual effects, programmers also take advantage of the GPU’s advantage in parallel processing in many fields to perform computing-heavy tasks, such as in health data analytics, physical simulation, artificial intelligence, etc.
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Heinemann, Moritz, Filip Sadlo, and Thomas Ertl. "Interactive Visualization of Droplet Dynamic Processes." In Fluid Mechanics and Its Applications, 29–46. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-09008-0_2.

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AbstractThis article presents an overview of visual analysis techniques specifically developed for high-resolution direct numerical multiphase simulations in the droplet dynamic context. Visual analysis of such data covers a large range of tasks, starting from observing physical phenomena such as energy transport or collisions for single droplets to the analysis of large-scale simulations such as sprays and jets. With an increasing number of features, coalescence and breakup events might happen, which need to be visually presented in an interactive explorable way to gain a deeper insight into physics. But also the task of finding relevant structures, features of interest, or a general dataset overview becomes non-trivial. We present an overview of new approaches developed in our SFB-TRR 75 project A1 covering work from the last decade to the current work-in-progress. They are the basis for relevant contributions to visualization research as well as useful tools for close collaborations within the SFB.
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Silva, Eduardo L., Ana Filipa Sampaio, Luís F. Teixeira, and Maria João M. Vasconcelos. "Cervical Cancer Detection and Classification in Cytology Images Using a Hybrid Approach." In Advances in Visual Computing, 299–312. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-90436-4_24.

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AbstractThe high incidence of cervical cancer in women has prompted the research of automatic screening methods. This work focuses on two of the steps present in such systems, more precisely, the identification of cervical lesions and their respective classification. The development of automatic methods for these tasks is associated with some shortcomings, such as acquiring sufficient and representative clinical data. These limitations are addressed through a hybrid pipeline based on a deep learning model (RetinaNet) for the detection of abnormal regions, combined with random forest and SVM classifiers for their categorization, and complemented by the use of domain knowledge in its design. Additionally, the nuclei in each detected region are segmented, providing a set of nuclei-specific features whose impact on the classification result is also studied. Each module is individually assessed in addition to the complete system, with the latter achieving a precision, recall and F1 score of 0.04, 0.20 and 0.07, respectively. Despite the low precision, the system demonstrates potential as an analysis support tool with the capability of increasing the overall sensitivity of the human examination process.
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McGee, Fintan, Mohammad Ghoniem, Benoît Otjacques, Benjamin Renoust, Daniel Archambault, Andreas Kerren, Bruno Pinaud, Guy Melançon, Margit Pohl, and Tatiana von Landesberger. "Task Taxonomy for Multilayer Networks." In Visual Analysis of Multilayer Networks, 37–44. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-031-02608-9_4.

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Conference papers on the topic "Visual tasks analysis":

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Hihoud, Chaima, Beatriz Rey, Noura Aknin, Vera Pakhutik, Salhi El Mekki, Jose Tembl, and Mariano Alcaniz. "Analysis of brain activation during visual tasks." In 2012 International Conference on Multimedia Computing and Systems (ICMCS). IEEE, 2012. http://dx.doi.org/10.1109/icmcs.2012.6320185.

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Wang, Changhan, Anirudh Jain, Danlu Chen, and Jiatao Gu. "VizSeq: a visual analysis toolkit for text generation tasks." In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP): System Demonstrations. Stroudsburg, PA, USA: Association for Computational Linguistics, 2019. http://dx.doi.org/10.18653/v1/d19-3043.

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Rosero-Rodriguez, Christian Camilo, and Wilfredo Alfonso-Morales. "Automated Preprocessing Pipeline for EEG Analysis in Visual Imagery Tasks." In 2021 IEEE Colombian Conference on Applications of Computational Intelligence (ColCACI). IEEE, 2021. http://dx.doi.org/10.1109/colcaci52978.2021.9469578.

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Båth, Magnus, Sara Zachrisson, and Lars Gunnar Månsson. "VGC analysis: application of the ROC methodology to visual grading tasks." In Medical Imaging, edited by Berkman Sahiner and David J. Manning. SPIE, 2008. http://dx.doi.org/10.1117/12.770687.

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Barnett, Kevin D., and Mohan M. Trivedi. "Analysis Of Thermal Infrared And Visual Images For Industrial Inspection Tasks." In SPIE 1989 Technical Symposium on Aerospace Sensing, edited by Mohan M. Trivedi. SPIE, 1989. http://dx.doi.org/10.1117/12.969297.

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Laha, Bireswar, Doug A. Bowman, David H. Laidlaw, and John J. Socha. "A classification of user tasks in visual analysis of volume data." In 2015 IEEE Scientific Visualization Conference (SciVis). IEEE, 2015. http://dx.doi.org/10.1109/scivis.2015.7429485.

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Fuchen, Dongxin, Ningyue Peng, Haiyan Wang, Yafeng Niu, and Chengqi Xue. "The View Switching Cost Analysis by the Visuo auditory Dual-task Paradigm." In Human Systems Engineering and Design (IHSED 2021) Future Trends and Applications. AHFE International, 2021. http://dx.doi.org/10.54941/ahfe1001182.

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View switching, for example different information density, type and magnitude, will cause additional switching cost between different scene. In this paper, the user interface of different information density will be used to explore the additional switching cost between different view transition through the dual-task paradigm. We use visual-auditory task to observe the interactive effect between the two tasks. Subjects need to do the searching and counting task in visual scene and do auditory task response in the meantime. We find that 1) view switching (information density) will generate additional switching cost from the scene of low information density to high information density by analyzing the visual task performance; 2) the mutual effect is obvious when subjects do the visual and auditory task at the same time that visual searching and counting task will expend more cognitive resources than auditory response task as the dual-task goes on.
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Inkaew, Narongrit, Nattaphon Charoenkitkamjorn, Chongkon Yangpaiboon, Montri Phothisonothai, and Chaiwat Nuthong. "Frequency component analysis of eeg recording on various visual tasks: Steady-state visual evoked potential experiment." In 2015 7th International Conference on Knowledge and Smart Technology (KST). IEEE, 2015. http://dx.doi.org/10.1109/kst.2015.7051483.

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Hashimoto, Naohisa, Wu Yanbin, and Masaki Masuda. "Analysis of Bus Driver Actions for Development of Automated Bus Passenger Safety System - Bowtie Analysis-." In 15th International Conference on Applied Human Factors and Ergonomics (AHFE 2024). AHFE International, 2024. http://dx.doi.org/10.54941/ahfe1005240.

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One of the key advantages of Level 4 automated buses is the potential for unmanned operation. To achieve this, two essential tasks must be addressed: controlling the bus and ensuring passenger safety. This study focuses specifically on passenger safety and the development of a safety system for automated buses. Initially, we investigated the tasks typically performed by bus drivers by observing their actions from when a passenger boards to when they disembark. For each task, we utilized bowtie analysis, examining them from five perspectives: hazard source (cause), prevention of occurrence, hazard source (consequences), impact mitigation, and harm. Tasks are categorized into three situations: door opening and closing, driving, and when starting. In each situation, every task is analysed using bowtie analysis. This approach results in a visual representation of tasks with identified threats, consequences, mitigations, and preventive measures. We will show a comprehensive explanation of all results and discussions derived from the analysis, utilizing real recorded driver’s data to enhance clarity. The primary challenge in developing the system to manage these tasks instead of relying on a bus driver lies in determining how the system will interact with passengers and the extent to which it can ensure passenger safety through the passenger safety system.
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Peres, S. Camille, and Daniel Verona. "A Task-Analysis-Based Evaluation of Sonification Designs for Two sEMG Tasks." In The 22nd International Conference on Auditory Display. Arlington, Virginia: The International Community for Auditory Display, 2016. http://dx.doi.org/10.21785/icad2016.038.

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This paper presents a brief description of surface electromyography (sEMG), what it can be used for, as well as some of the problems associated with visual displays of sEMG data. Sonifications of sEMG data have shown potential for certain applications in data monitoring and movement training, however there are still challenges related to the design of these sonifications that need to be addressed. Our previous research has shown that different sonification designs resulted in better listener performance for different sEMG evaluation tasks (e.g. identifying muscle activation time vs. muscle exertion level). Based on this finding, we speculated that sonifications may benefit from being designed to be task-specific, and that integrating a task analysis into the sonification design process may help sonification designers identify intuitive and meaningful sonification designs. This paper presents a brief introduction to what a task analysis is, provides an example of how a task analysis can be used to inform sonification design, and outlines future research into a task-analysis-based approach to sonification design.

Reports on the topic "Visual tasks analysis":

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Semerikov, Serhiy O., Mykhailo M. Mintii, and Iryna S. Mintii. Review of the course "Development of Virtual and Augmented Reality Software" for STEM teachers: implementation results and improvement potentials. [б. в.], 2021. http://dx.doi.org/10.31812/123456789/4591.

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The research provides a review of applying the virtual reality (VR) and augmented reality (AR) technology to education. There are analysed VR and AR tools applied to the course “Development of VR and AR software” for STEM teachers and specified efficiency of mutual application of the environment Unity to visual design, the programming environment (e.g. Visual Studio) and the VR and AR platforms (e.g. Vuforia). JavaScript language and the A-Frame, AR.js, Three.js, ARToolKit and 8th Wall libraries are selected as programming tools. The designed course includes the following modules: development of VR tools (VR and Game Engines; physical interactions and camera; 3D interface and positioning; 3D user interaction; VR navigation and introduction) and development of AR tools (set up AR tools in Unity 3D; development of a project for a photograph; development of training materials with Vuforia; development for promising devices). The course lasts 16 weeks and contains the task content and patterns of performance. It is ascertained that the course enhances development of competences of designing and using innovative learning tools. There are provided the survey of the course participants concerning their expectations and the course results. Reduced amounts of independent work, increased classroom hours, detailed methodological recommendations and increased number of practical problems associated with STEM subjects are mentioned as the course potentials to be implemented.
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Golovko, Khrystyna. TRAVEL REPORT BY ALEKSANDER JANTA-POŁCZYNSKI «INTO THE USSR» (1932): FROG PERSPECTIVE. Ivan Franko National University of Lviv, March 2021. http://dx.doi.org/10.30970/vjo.2021.50.11091.

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The article analyzes a series of materials by Aleksander Janta-Polczynski «Into the USSR» from Soviet Russia during the in 1932, published on «Wiadomości Literackiе». The purpose of this article is explain the uniqueness of the reporter’s style and personality. We want to emphasize the role of Janta-Polczynski as the pioneer of reportage journalism. He was the first who worked professionally in this position in the full sense of this word. Analyzed the cycle of Alexander Janta-Polczynski from Russia, we can emphasize the scale of the reporter’s trip: in 1932 the journalist made the largest journalistic trip to the USSR. Janta visited the Eastern republics, which differed from the popular Moscow and Leningrad. Also, he saw the largest construction in the USSR at this time – which it bragged about russian newspapers – Magnitogorsk and Dneprostroy. For a better understanding are given the visual examples from reportorial texts. It should be noted that for Janta the main task of the reporter is to show what is seen and recorded: only facts and personal experience in communication. This cycle can safely be called a journey and social expedition. The main task for Janta the scene where the reportage takes place is to find proper characters and convince them of the importance of their story. These are the materials of a reporter – an eyewitness, not a researcher, a report from the scene, which pushes the reader to an independent conclusion. We explore that all the Janta-Polczynski texts are inextricably linked by looking into the «middle» of the process: the diversity of what is seen allows the journalist to look for differences and similarities, compare, look at the fundamental components, track changes and distinguish them. Special attention was paid to a low-angle shot in his materials. He describes how Soviet society lives, how factories work, how the system of educating a Soviet person, goes to the movies and exhibitions, communicates with ordinary citizens. Undoubtedly, all this is successfully complemented by the factual detail and uniqueness of the author’s style.
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Yatsymirska, Mariya. Мова війни і «контрнаступальна» лексика у стислих медійних текстах. Ivan Franko National University of Lviv, March 2023. http://dx.doi.org/10.30970/vjo.2023.52-53.11742.

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The article examines the language of the russian-ukrainian war of the 21st century based on the materials of compressed media texts; the role of political narratives and psychological-emotional markers in the creation of new lexemes is clarified; the verbal expression of forecasts of ukrainian and foreign analysts regarding the course of hostilities on the territory of Ukraine is shown. Compressed media texts reflect the main meanings of the language of the russian-ukrainian war in relation to the surrounding world. First of all, the media vocabulary was supplemented with neologisms – aggressive and sad: “rashism”, “denazification”, “katsapstan”, “orks”, “rusnia”, “kremlins”, “parebrik”, “in the swamps”, “nuclear dictator”, “putinism”, “two hundred” and others. Numerals acquired new expressive and evaluative meanings: “200s” (dead), “300s” (wounded), “400s” (russian military personnel who filed reports for termination of the contract), “500s” (hopelessly drunk russian soldiers, alcoholics who are unable to perform combat tasks). The language of war intensified the slogans of the struggle for state independence and people’s freedom. The scope of the greeting “Glory to Ukraine! – Glory to Heroes!”. New official holidays have appeared in the history of Ukraine since 2014: “Heroes of the Heavenly Hundred” Day (February 20), “Ukrainian Volunteer Day” (March 14), “Defenders and Defenders of Ukraine Day” (October 14), “Volunteer Day” (5 December). As you know, the professional holiday of the military is the Day of the Armed Forces of Ukraine” (December 6). A special style is characteristic of media texts on military topics: “Iron Force of Ukraine” (Iron Force of Ukraine), “digitize the Army” (for effective simulation of military operations); “grain corridor” (export of Ukrainian grain to African and European countries); “don’t let Ukraine lose” (the position of the Allies at the first stage of the war), “Ukraine must win!” (the position of the Allies in the second stage of the war); “in the Russian-Ukrainian war, the thinking of the 19th century collided with the thinking of the 21st century”, “a politician is a person who understands time” (Grigori Yavlinskyy, Russian oppositionist); “aggressive neutrality” (about Turkey’s position); “in Russia”, “there, in the swamps” (in Russia), “weak, inadequate evil” (about Russia), “behind the fence”; “a great reset of the world order”; “technology of military creativity”; “they are not Russian and not Ukrainian, they are Soviet”, “people without mentality”, “in Ukraine and without Ukraine” (Vitaly Portnikov about a separate category of Russian-speaking citizens in Ukraine); “information bed of Ukraine” (about combat operations on the front line; “when a descendant asks me what I did in those terrifying moments, I will know what to answer. At the very least, I did not stand aside” (opinion of a Ukrainian fighter). Compressed in media texts is implemented in the headline, note, infographic, chronicle, digest, help, caption for photos, blitz poll, interview, short articles, caricature, visual text, commercial, etc. Researchers add “nominative-representative text (business card text, titles of sections, pages, names of presenters, etc.) to concise media texts for a functional and pragmatic purpose.” accent text (quote, key idea); text-navigator (content, news feed, indication of movement or time); chronotope”. A specific linguistic phenomenon known as “language compression” is widespread in media texts. Language compression is the art of minimization; attention is focused on the main, the most essential, everything secondary is filtered out. Compression uses words succinctly and sparingly to convey the meaning as much as possible. For example, the headline “Racism. What is the essence of the new ideology of the Russian occupiers?”. The note briefly explains the meaning of this concept and explains the difference from “nazism” and “fascism”. Key words: compressed media text, language compression, language of war, emotional markers, expressive neologisms, political journalism.
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Jacobsen, Nils. Linjebussens vekst og fall i den voksende byen: en studie av bybussenes geografiske kvalitet Stavanger – Sandnes 1920 – 2010. University of Stavanger, November 2019. http://dx.doi.org/10.31265/usps.244.

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Linear city bus services are facing increased challenges from city growth. Increased number of inhabitants on increasing acres of built-up areas, makes it demanding to maintain adequate bus services within reasonable catchment areas. Number of departures per hour give a partial description of the bus service quality. Number of departures give reference to the time aspect of bus service quality, but say nothing about the geographical aspect. What part of the entire line network is within reach of direct bus service when frequencies are limited? To address the geographical aspect of bus service quality, the term network ratio is introduced. The term Network Ratio (NR) signifies what part of the entire line network is within reach of direct bus service to or from a certain place in the network. Network Ratio is given as a mathematical term whereby direct bus lines are calculated as a percentage of the entire network. The character and development of Network Ratio in a specific city is illustrated through an analysis of the urban growth of line network and built-up areas in the twin cities of Stavanger and Sandnes. The analysis is covering the period 1920 – 2000 in intervals of 20 years from the first bus lines were established in the urban area. Year 2010 is also included due to major changes implemented right after the turn of the millennium. Development show there is a close relation between bus network and built-up areas. When areas are being built, bus lines follow. The initial fase 1920 – 40 with extensive development of bus lines combined with some areal growth, is followed by a fase of consolidation 1940 – 60. The latter period is characterized by moderate areal growth, extended lines reducing network ratios, and increasing frequencies on the best bus lines. Extensive areal growth in the following period 1960 – 80, implies increased number of bus lines. As a consequence network ratios as well as frequencies are falling in the entire network. In 1960 certain lines had developed as much as 6 departures per hour, while maximum bus line frequency in 1980 has diminished to 2. New bus service development is introduced in the following period between 1980 and 2000. Numerous bus companies are united, and a more comprehensive planning of bus services are applied. The number of bus lines is stabilized at about 40, the fall in network ratio is reduced, and certain lines develop 4 departures per hour. Parallell to the bus development, growth of built-up areas is slowing down due to increased urban renewal with higher densities within built-up areas. In the period 2000 – 2010 new efforts are given to the development of bus services. Development of Network Ratio takes a new direction: The length of network links with high NR is increasing, while links with very low NR are diminishing. Number of bus lines is decreasing, and by 2010 almost 50% of the bus lines are served with 4 departures or more. Passenger comfort is improved in buses as well as on bus stops, and low floor buses are introduced to ease accessibility. Bus service quality is further developed after 2010. Digital services are introduced including digital ticketing, bus service information and real-time information on internet. In addition real-time information is presented at high frequency bus stops through visual screen and auditory speaker. Inside the buses name of next stop is given on screen and through loudspeaker. Further development of the bus services, should include improved Network Ratios in the entire network, as well as increased frequencies on major bus corridors. The latter is a task not only for the bus service planners, but just as well for the city planners and politicians in collaboration with the developers implementing urban density and allocation of important destinations. A last, but not least, objective for bus service development will be to improve punctuality and total travel time. Today a considerable proportion of city bus services are delayed in car traffic congestions. This is occurring especially on main streets and during rush hours. A set of different solutions are needed to address this question: 1. Dedicated bus streets (including car access to limited addresses) 2. Bus lines through local streets in concentrated housing, office and shopping areas. 3. Dedicated bus lane on main streets where possible. 4. Car traffic regulations on main streets without space for extra bus lane. As an overall vision, we need to cultivate the word of Flemming Larsen: urban growth as pearls on a string, as shown in fig. 13 and fig. 14.

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