Academic literature on the topic 'Space-time features'
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Journal articles on the topic "Space-time features"
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Zambotti, G., W. Guan, and J. Gest. "VISUALIZING HUMAN MIGRATION TRHOUGH SPACE AND TIME." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences II-4/W2 (July 10, 2015): 155–61. http://dx.doi.org/10.5194/isprsannals-ii-4-w2-155-2015.
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Human migration has been an important activity in human societies since antiquity. Since 1890, approximately three percent of the world’s population has lived outside of their country of origin. As globalization intensifies in the modern era, human migration persists even as governments seek to more stringently regulate flows. Understanding this phenomenon, its causes, processes and impacts often starts from measuring and visualizing its spatiotemporal patterns. This study builds a generic online platform for users to interactively visualize human migration through space and time. This entails quickly ingesting human migration data in plain text or tabular format; matching the records with pre-established geographic features such as administrative polygons; symbolizing the migration flow by circular arcs of varying color and weight based on the flow attributes; connecting the centroids of the origin and destination polygons; and allowing the user to select either an origin or a destination feature to display all flows in or out of that feature through time. The method was first developed using ArcGIS Server for world-wide cross-country migration, and later applied to visualizing domestic migration patterns within China between provinces, and between states in the United States, all through multiple years. The technical challenges of this study include simplifying the shapes of features to enhance user interaction, rendering performance and application scalability; enabling the temporal renderers to provide time-based rendering of features and the flow among them; and developing a responsive web design (RWD) application to provide an optimal viewing experience. The platform is available online for the public to use, and the methodology is easily adoptable to visualizing any flow, not only human migration but also the flow of goods, capital, disease, ideology, etc., between multiple origins and destinations across space and time.
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Kobro, Katarzyna, and Władysław Strzemiński. "Composing Space/Calculating Space-Time Rhythms." October 156 (May 2016): 12–74. http://dx.doi.org/10.1162/octo_a_00251.
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In this treatise, Katarzyna Kobro and Władysław Strzemiński distinguish between the condition of painting (which features a picture on a support with physical imits) and of sculpture (which involves space, which is limitless) and propose that the ways in which each medium determines its own essence must be fundamentally different. While painting relies on what would later be called “deductive structure,” in sculpture the issue is how to relate the object to space. After conducting a chronological examination of the different ways in which the sculptural object has related to space (in the Ancient, Medieval, Renaissance, and Baroque epochs), Kobro and Strzemiński propose various ways in which sculpture can not only relate to space but to “unite” with it via such solutions as polychrony and a disjunctive syntax through which the object itself eludes the perception of its identity.
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Mitroff, Stephen R., and George A. Alvarez. "Space and time, not surface features, guide object persistence." Psychonomic Bulletin & Review 14, no. 6 (December 2007): 1199–204. http://dx.doi.org/10.3758/bf03193113.
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Rebouças, M. J., and A. F. F. Teixeira. "Features of a relativistic space-time with seven isometries." Physical Review D 34, no. 10 (November 15, 1986): 2985–89. http://dx.doi.org/10.1103/physrevd.34.2985.
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李, 宝芬. "Time-Space Distribution Features of Annual Precipitation in Kunming." Journal of Water Resources Research 05, no. 02 (2016): 182–89. http://dx.doi.org/10.12677/jwrr.2016.52024.
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Maneuf, S., A. Barthelemy, and C. Froehly. "Soliton beam propagation; space-time behaviour and spectral features." Journal of Optics 17, no. 3 (May 1986): 139–45. http://dx.doi.org/10.1088/0150-536x/17/3/004.
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Moore, Cathleen M., Teresa Stephens, and Elisabeth Hein. "Features, as well as space and time, guide object persistence." Psychonomic Bulletin & Review 17, no. 5 (October 2010): 731–36. http://dx.doi.org/10.3758/pbr.17.5.731.
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Chaplya, Tatyana V. "ARCHITECTURAL SPACE OF THE NEW TIME: DYNAMICS AND ORGANIZATIONAL FEATURES." Vestnik Tomskogo gosudarstvennogo universiteta. Kul'turologiya i iskusstvovedenie, no. 33 (March 2019): 120–32. http://dx.doi.org/10.17223/22220836/33/10.
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ZACHOS, COSMAS K. "UMBRAL DEFORMATIONS ON DISCRETE SPACE–TIME." International Journal of Modern Physics A 23, no. 13 (May 20, 2008): 2005–14. http://dx.doi.org/10.1142/s0217751x08040548.
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Given a minimum measurable length underlying space–time, the latter may be effectively regarded as discrete, at scales of order of the Planck length. A systematic discretization of continuum physics may be effected most efficiently through the umbral deformation. General functionals yielding such deformations at the level of solutions are furnished and illustrated, and broad features of discrete oscillations and wave propagation are outlined.
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Wang, Yilin, and Baokuan Chang. "Extraction of Human Motion Information from Digital Video Based on 3D Poisson Equation." Advances in Mathematical Physics 2021 (December 28, 2021): 1–11. http://dx.doi.org/10.1155/2021/1268747.
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Based on the 3D Poisson equation, this paper extracts the features of the digital video human body action sequence. By solving the Poisson equation on the silhouette sequence, the time and space features, time and space structure features, shape features, and orientation features can be obtained. First, we use the silhouette structure features in three-dimensional space-time and the orientation features of the silhouette in three-dimensional space-time to represent the local features of the silhouette sequence and use the 3D Zernike moment feature to represent the overall features of the silhouette sequence. Secondly, we combine the Bayesian classifier and AdaBoost classifier to learn and classify the features of human action sequences, conduct experiments on the Weizmann video database, and conduct multiple experiments using the method of classifying samples and selecting partial combinations for training. Then, using the recognition algorithm of motion capture, after the above process, the three-dimensional model is obtained and matched with the model in the three-dimensional model database, the sequence with the smallest distance is calculated, and the corresponding skeleton is outputted as the results of action capture. During the experiment, the human motion tracking method based on the university matching kernel (EMK) image kernel descriptor was used; that is, the scale invariant operator was used to count the characteristics of multiple training images, and finally, the high-dimensional feature space was mapped into the low-dimensional to obtain the feature space approximating the Gaussian kernel. Based on the above analysis, the main user has prior knowledge of the network environment. The experimental results show that the method in this paper can effectively extract the characteristics of human body movements and has a good classification effect for bending, one-foot jumping, vertical jumping, waving, and other movements. Due to the linear separability of the data in the kernel space, fast linear interpolation regression is performed on the features in the feature space, which significantly improves the robustness and accuracy of the estimation of the human motion pose in the image sequence.
Dissertations / Theses on the topic "Space-time features"
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Ponce, López Víctor. "Evolutionary Bags of Space-Time Features for Human Analysis." Doctoral thesis, Universitat de Barcelona, 2016. http://hdl.handle.net/10803/386310.
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The representation (or feature) learning has been an emerging concept in the last years, since it collects a set of techniques that are present in any theoretical or practical methodology referring to artificial intelligence. In computer vision, a very common representation has adopted the form of the well-known Bag of Visual Words. This representation appears implicitly in most approaches where images are described, and is also present in a huge number of areas and domains: image content retrieval, pedestrian detection, human-computer interaction, surveillance, e-health, and social computing, amongst others.
The early stages of this dissertation provide an approach for learning visual representations inside evolutionary algorithms, which consists of evolving weighting schemes to improve the BoVW representations for the task of recognizing categories of videos and images. Thus, we demonstrate the applicability of the most common weighting schemes, which are often used in text mining but are less frequently found in computer vision tasks. Beyond learning these visual representations, we provide an approach based on fusion strategies for learning spatiotemporal representations, from multimodal data obtained by depth sensors. Besides, we specially aim at the evolutionary and dynamic modelling, where the temporal factor is present in the nature of the data, such as video sequences of gestures and actions. Indeed, we explore the effects of probabilistic modelling for those approaches based on dynamic programming, so as to handle the temporal deformation and variance amongst video sequences of different categories. Finally, we integrate dynamic programming and generative models into an evolutionary computation framework, with the aim of learning Bags of SubGestures (BoSG) representations and hence to improve the generalization capability of standard gesture recognition approaches.
The results obtained in the experimentation demonstrate, first, that evolutionary algorithms are useful for improving the representation of BoVW approaches in several datasets for recognizing categories in still images and video sequences. On the other hand, our experimentation reveals that both, the use of dynamic programming and generative models to align video sequences, and the representations obtained from applying fusion strategies in multimodal data, entail an enhancement on the performance when recognizing some gesture categories. Furthermore, the combination of evolutionary algorithms with models based on dynamic programming and generative approaches results, when aiming at the classification of video categories on large video datasets, in a considerable improvement over standard gesture and action recognition approaches.
Finally, we demonstrate the applications of these representations in several domains for human analysis: classification of images where humans may be present, action and gesture recognition for general applications, and in particular for conversational settings within the field of restorative justice.L’aprenentatge de la representació (o de característiques) ha estat un concepte emergent en els darrers anys, ja que recopila un conjunt de tècniques que són presents en qualsevol metodologia teòrica o pràctica referent a la intel·ligència artifcial. En la visió per computador, una representació molt comuna ha adoptat la forma de la ben coneguda Bossa de Paraules Visuals (BdPV). Aquesta representació apareix implícitament en la majoria d’aproximacions per descriure imatges, i és també present en un enorme nombre d’àrees i dominis: recuperació de contingut en imatges, detecció de vianants, interacció humà-ordinador, vigilància, e-salut, i la computació social, entre d’altres. Les fases inicials d’aquesta dissertació proporcionen una aproximació per aprendre representacions visuals dins d’algorismes evolutius, que consisteix en evolucionar esquemes de pesat per millorar les representacions BdPV en la tasca de reconèixer les categories de vídeos i imatges. Per tant, demostrem l’aplicabilitat dels esquemes de pesat més comuns, que s’usen sovint en la mineria de textos però es troben amb menys freqüència en tasques de visió per computador. Més enllà d’aprendre representacions visuals, proporcionem una aproximació basada en estratègies de fusió per a l’aprenentatge de representacions espai- temporals, a partir de dades multi-modals obtingudes per sensors de profunditat. A més, el nostre objectiu és especialment el modelatge evolutiu i dinàmic, on el factor temporal és present en la naturalesa de les dades, com les seqüències de gestos i accions. De fet, explorem els efectes del modelatge probabilístic per aquelles aproximacions basades en programació dinàmica per a gestionar la deformació temporal i variància entre seqüències de vídeo de categories diferents. Finalment, integrem la programació dinàmica i els models generatius en un marc de computació evolutiva, amb l’objectiu d’aprendre representacions en Bosses de SubGestos i, per tant, millorar la capacitat de generalització de les aproximacions estàndards pel reconeixement de gestos. Els resultats obtinguts en l’experimentació demostra, en primer lloc, que els algorismes evolutius són útils per millorar la representació d’aproximacions BdPV en diverses bases de dades pel reconeixement de categories en imatges fxes i seqüències de vídeo. Per altra banda, la nostra experimentació revela que, tant l’ús de la programació dinàmica i els models generatius per alinear seqüències de vídeos, com les representacions obtingudes d’aplicar estratègies de fusió en dades multi-modals, comporten una millora en el rendiment a l’hora de reconèixer algunes categories de gestos. A més a més, la combinació d’algorismes evolutius amb models basats en programació dinàmica i aproximacions generatives resulten, a l’hora de classifcar categories de vídeos de bases de dades grans, en una millora considerable sobre les aproximacions estàndards de reconeixement de gestos i accions. Finalment, demostrem les aplicacions d’aquestes representacions en varis dominis per a l’anàlisi humà: classifcació d’imatges on els humans poden ser-hi presents, el reconeixement d’accions i gestos per aplicacions en general, i en particular per entorns conversacionals dins del camp de la justícia restaurativa.
El aprendizaje de la representación (o de características) ha sido un concepto emergente en los últimos años, ya que recopila un conjunto de técnicas que están presentes en cualquier metodología teórica o práctica referente a la inteligencia artificial. En la visión por computador, una representación muy comuna ha adoptado la forma de la bien conocida Bolsa de Palabras Visuales (BdPV). Esta representación aparece implícitamente en la mayoría de aproximaciones para describir imágenes, y está también presente en un enorme número de áreas y dominios: recuperación de contenido en imágenes, detección de peatones, interacción humano-ordenador, vigilancia, e-salud, y la computación social, entre otras. Las fases iniciales de esta disertación proporcionan una aproximación para aprender representaciones visuales dentro de algoritmos evolutivos, que consisten en evolucionar esquemas de pesado para mejorar las representaciones BdPV en la tarea de reconocer las categorías de vídeos e imágenes. Por lo tanto, demostramos la aplicabilidad de los esquemas de pesado más comunes, que se utilizan a menudo en la minería de textos pero se encuentran con menos frecuencia en tareas de visión por computador. Más allá de aprender representaciones visuales, proporcionamos una aproximación basada en estrategias de fusión para el aprendizaje de representaciones espacio-temporales, a partir de datos multimodales obtenidos por sensores de profundidad. También, nuestro objetivo es especialmente el modelado evolutivo y dinámico, donde el factor temporal está presente en la naturaleza de los datos, como las secuencias de gestos y acciones. De hecho, exploramos los efectos del modelado probabilístico para aquellas aproximaciones basadas en programación dinámica para gestionar la deformación temporal y varianza entre secuencias de vídeo de categorías diferentes. Finalmente, integramos la programación dinámica y los modelos generativos en un marco de computación evolutiva, con el objetivo de aprender representaciones en Bolsas de SubGestos, y por lo tanto mejorar la capacidad de generalización de las aproximaciones estándares para el reconocimiento de gestos. Los resultados obtenidos en la experimentación demuestra, en primer lugar, que los algoritmos evolutivos son útiles para mejorar la representación de aproximaciones BdPV en diversas bases de datos para el reconocimiento de categorías en imágenes fijas y secuencias de vídeo. Por otra parte, nuestra experimentación revela que, tanto el uso de la programación dinámica y los modelos generativos para alinear secuencias de vídeos, como las representaciones obtenidas de aplicar estrategias de fusión en datos multimodales, conllevan una mejora en el rendimiento a la hora de reconocer algunas categorías de gestos. Además, la combinación de algoritmos evolutivos con modelos basados en programación dinámica y aproximaciones generativas resultan, a la hora de clasificar categorías de vídeos de bases de datos grandes, en una mejora considerable sobre las aproximaciones estándares de reconocimiento de gestos y acciones. Finalmente, demostramos las aplicaciones de estas representaciones en varios dominios para el análisis humano: clasificación de imágenes donde los humanos pueden estar presentes, el reconocimiento de acciones y gestos para aplicaciones en general, y en particular para entornos conversacionales dentro del campo de la justicia restaurativa.
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Reinl, Maren [Verfasser], and Andreas [Akademischer Betreuer] Bartels. "The integration of facial features over space and time / Maren Reinl ; Betreuer: Andreas Bartels." Tübingen : Universitätsbibliothek Tübingen, 2017. http://d-nb.info/1199464775/34.
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Engström, Alexander. "SITUATIONAL CRIMINOGENIC EXPOSURE DURING ADOLESCENCE – A STUDY OF THE RELATIONSHIP BETWEEN SITUATIONAL CRIMINOGENIC FEATURES AND OFFENDING AND VICTIMIZATION." Thesis, Malmö högskola, Fakulteten för hälsa och samhälle (HS), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-25122.
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Denna studie syftar till att undersöka sambandet mellan kriminalitet, viktimisering och exponering för kriminogena situationer. Självrapporterad data samlades in vid tre tillfällen från 525 Malmöungdomar, varav 320 uppfyllde studiens inkluderingskriterier. Resultaten visar att mycket tid spenderad oövervakad, mycket tid ägnad åt ostrukturerade aktiviteter, mycket tid i sällskap med vänner samt alkoholkonsumtion samvarierar med brottslighet och viktimisering i varierande utsträckning. Sambanden varierar dock i förhållande till de båda utfallsvariablerna och deltagarnas ålder. Livsstils-rutinaktivitetsteorin kan förklara resultaten men behöver i framtiden ta större hänsyn till ålder. Studiens två slutsatser är att (1) brottslighet och viktimisering bör betraktas som två olika men klart relaterade företeelser i förhållande till exponering för kriminogena situationer och att (2) ålder måste tas i beaktande i forskning om exponering för kriminogena situationer eftersom sambanden mellan exponering och de båda utfallsvariablerna varierar från tidiga till sena tonår.This study aims to examine offending and victimization in relation to situational criminogenic exposure. Self-reported data was collected at three occasions from a sample of 525 adolescents in Malmö, of which 320 fulfilled the study’s inclusion criteria. The results show that spending a lot of time unsupervised, pursuing unstructured activities, spending a lot of time with peers, and alcohol use, are associated with offending and victimization to various extent. However, the associations vary according to outcome and in relation to the participants’ age. Lifestyle-Routine Activities Theory may explain the findings, but needs to consider age as an important factor in the future. The two conclusions from this study are that (1) offending and victimization should be treated as two different, yet related concepts in relation to situational criminogenic exposure, and that (2) it is important to add an age dimension to the study of situational criminogenic exposure because the associations between the exposure variables and the outcome variables vary from early to late adolescence.
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Cheong, Yong Jeon. "Worlds of Musics: Cognitive Ethnomusicological Inquiries on Experience of Time and Space in Human Music-making." The Ohio State University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1555598154844572.
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Santiago, Jessica de. "Extracting informative spatio-temporal features from fMRI dynamics : a model-based characterization of timescales." Doctoral thesis, Universitat Pompeu Fabra, 2021. http://hdl.handle.net/10803/671346.
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In neuropsychiatry, the development of brain imaging and dedicated data analysis for personalized medicine promises to predict both the evolution of diseases and responses of treatments. The ability to estimate the time course of the disease is the first step to understand the response to potential treatments, which implies the development of methods able to capture subject-specific features in addition to the discrimination between pathological conditions. However, methods that effectively characterize the neuronal activity at the whole-brain level are still lacking, and many efforts are currently made in the fields of clinical research and neuroscience to fill this gap. The above is particularly problematic to interpret functional Magnetic Resonance Imaging (fMRI) data, which are indirectly coupled with neuronal activity because of hemodynamics, yielding much slower signals than neuronal activity. We propose a multiscale method that combines a computational whole-brain model with machine learning to solve this issue. In our approach, the model relates the neuronal activity and the fMRI signals in a mechanistic fashion, allowing for access to neuronal activity down to millisecond precision. Specifically, we use a novel methodology that allows the extraction of space-time motifs at different timescales through binned time windows. Then, we use machine learning to study which range of timescales in the modeled neuronal activity is most informative to separate the brain's dynamics during rest, distinguishing subjects, tasks, and neuropsychiatric conditions. Our multiscale computational approach is a further step to study the multiple timescales of brain dynamics and predict the dynamical interactions between brain regions. Overall, this method raises outlooks to detect biomarkers and predict responses of treatments.En neuropsiquiatría, el desarrollo de imágenes cerebrales y el análisis de datos dedicados a la medicina personalizada prometen predecir tanto la evolución de las enfermedades como las respuestas a los tratamientos. La capacidad de estimar el curso temporal de la enfermedad es el primer paso para comprender la respuesta a posibles tratamientos, lo que implica el desarrollo de métodos capaces de capturar características específicas del sujeto, además de la discriminación entre condiciones patológicas. Sin embargo, todavía faltan métodos que caractericen eficazmente la actividad neuronal a nivel de todo el cerebro, y actualmente se están haciendo muchos esfuerzos en los campos de la investigación clínica y la neurociencia. Lo anterior es particularmente problemático para interpretar los datos funcionales de las imágenes de resonancia magnética (fMRI por sus siglas en inglés), que están acoplados indirectamente con la actividad neuronal debido a la hemodinámica, lo que produce señales mucho más lentas que la actividad neuronal. En este trabajo, proponemos un método multiescala que combina un modelo computacional de cerebro completo con aprendizaje automático para resolver este problema. En nuestro enfoque, el modelo relaciona la actividad neuronal y las señales de resonancia magnética funcional de manera mecanicista, lo que permite el acceso a la actividad neuronal con una precisión de milisegundos. Específicamente, utilizamos una nueva metodología que permite la extracción de patrones espacio-temporales en diferentes escalas temporales a través de ventanas de tiempo. Después, usamos aprendizaje automático para estudiar qué rango de escalas de tiempo en la actividad neuronal modelada es más informativo, para separar la dinámica del cerebro durante el descanso, distinguiendo sujetos, tareas y condiciones neuropsiquiátricas. Nuestro enfoque computacional multiescala es un paso más para estudiar las múltiples escalas de tiempo de la dinámica del cerebro y predecir las interacciones dinámicas entre las regiones del cerebro. En general, este método aumenta las perspectivas para detectar biomarcadores y predecir la respuesta de tratamientos.
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Svolos, Andrew. "Space and time efficient data structures in texture feature extraction." Thesis, University College London (University of London), 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.299379.
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Řezníček, Ivo. "ROZPOZNÁNÍ ČINNOSTÍ ČLOVĚKA VE VIDEU." Doctoral thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2014. http://www.nusl.cz/ntk/nusl-261240.
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Tato disertační práce se zabývá vylepšením systémů pro rozpoznávání činností člověka. Současný stav vědění v této oblasti jest prezentován. Toto zahrnuje způsoby získávání digitálních obrazů a videí společně se způsoby reprezentace těchto entit za použití počítače. Dále jest prezentováno jak jsou použity extraktory příznakových vektorů a extraktory pros- torově-časových příznakových vektorů a způsoby přípravy těchto dat pro další zpracování. Příkladem následného zpracování jsou klasifikační metody. Pro zpracování se obecně obvykle používají části videa s proměnlivou délkou. Hlavní přínos této práce je vyřčená hypotéza o optimální délce analýzy video sekvence, kdy kvalita řešení je porovnatelná s řešením bez restrikce délky videosekvence. Algoritmus pro ověření této hypotézy jest navržen, implementován a otestován. Hypotéza byla experimentálně ověřena za použití tohoto algoritmu. Při hledání optimální délky bylo též dosaženo jistého zlepšení kvality klasifikace. Experimenty, výsledky a budoucí využití této práce jsou taktéž prezentovány.
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Seidl, Christoph. "Integrated Management of Variability in Space and Time in Software Families." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2017. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-218036.
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Software Product Lines (SPLs) and Software Ecosystems (SECOs) are approaches to capturing families of closely related software systems in terms of common and variable functionality (variability in space). SPLs and especially SECOs are subject to software evolution to adapt to new or changed requirements resulting in different versions of the software family and its variable assets (variability in time). Both dimensions may be interconnected (e.g., through version incompatibilities) and, thus, have to be handled simultaneously as not all customers upgrade their respective products immediately or completely. However, there currently is no integrated approach allowing variant derivation of features in different version combinations.
In this thesis, remedy is provided in the form of an integrated approach making contributions in three areas: (1) As variability model, Hyper-Feature Models (HFMs) and a version-aware constraint language are introduced to conceptually capture variability in time as features and feature versions. (2) As variability realization mechanism, delta modeling is extended for variability in time, and a language creation infrastructure is provided to devise suitable delta languages. (3) For the variant derivation procedure, an automatic version selection mechanism is presented as well as a procedure to derive large parts of the application order for delta modules from the structure of the HFM. The presented integrated approach enables derivation of concrete software systems from an SPL or a SECO where both features and feature versions may be configured.
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Bird, Gregory David. "Linear and Nonlinear Dimensionality-Reduction-Based Surrogate Models for Real-Time Design Space Exploration of Structural Responses." BYU ScholarsArchive, 2020. https://scholarsarchive.byu.edu/etd/8653.
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Design space exploration (DSE) is a tool used to evaluate and compare designs as part of the design selection process. While evaluating every possible design in a design space is infeasible, understanding design behavior and response throughout the design space may be accomplished by evaluating a subset of designs and interpolating between them using surrogate models. Surrogate modeling is a technique that uses low-cost calculations to approximate the outcome of more computationally expensive calculations or analyses, such as finite element analysis (FEA). While surrogates make quick predictions, accuracy is not guaranteed and must be considered. This research addressed the need to improve the accuracy of surrogate predictions in order to improve DSE of structural responses. This was accomplished by performing comparative analyses of linear and nonlinear dimensionality-reduction-based radial basis function (RBF) surrogate models for emulating various FEA nodal results. A total of four dimensionality reduction methods were investigated, namely principal component analysis (PCA), kernel principal component analysis (KPCA), isometric feature mapping (ISOMAP), and locally linear embedding (LLE). These methods were used in conjunction with surrogate modeling to predict nodal stresses and coordinates of a compressor blade. The research showed that using an ISOMAP-based dual-RBF surrogate model for predicting nodal stresses decreased the estimated mean error of the surrogate by 35.7% compared to PCA. Using nonlinear dimensionality-reduction-based surrogates did not reduce surrogate error for predicting nodal coordinates. A new metric, the manifold distance ratio (MDR), was introduced to measure the nonlinearity of the data manifolds. When applied to the stress and coordinate data, the stress space was found to be more nonlinear than the coordinate space for this application. The upfront training cost of the nonlinear dimensionality-reduction-based surrogates was larger than that of their linear counterparts but small enough to remain feasible. After training, all the dual-RBF surrogates were capable of making real-time predictions. This same process was repeated for a separate application involving the nodal displacements of mode shapes obtained from a FEA modal analysis. The modal assurance criterion (MAC) calculation was used to compare the predicted mode shapes, as well as their corresponding true mode shapes obtained from FEA, to a set of reference modes. The research showed that two nonlinear techniques, namely LLE and KPCA, resulted in lower surrogate error in the more complex design spaces. Using a RBF kernel, KPCA achieved the largest average reduction in error of 13.57%. The results also showed that surrogate error was greatly affected by mode shape reversal. Four different approaches of identifying reversed mode shapes were explored, all of which resulted in varying amounts of surrogate error. Together, the methods explored in this research were shown to decrease surrogate error when performing DSE of a turbomachine compressor blade. As surrogate accuracy increases, so does the ability to correctly make engineering decisions and judgements throughout the design process. Ultimately, this will help engineers design better turbomachines.
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Vargas, Aurea Rossy Soriano. "Visual exploration to support the identification of relevant attributes in time-varying multivariate data." Universidade de São Paulo, 2018. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-23102018-115029/.
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Ionospheric scintillation is a rapid variation in the amplitude and/or phase of radio signals traveling through the ionosphere. This spatial and time-varying phenomenon is of interest because its occurrence may affect the reception quality of satellite signals. Specialized receivers at strategic regions can track multiple variables related to the phenomenon, generating a database of historical observations on the regional behavior of ionospheric scintillation. The analysis of such data is very challenging, since it consists of time-varying measurements of many variables which are heterogeneous in nature and with possibly many missing values, recorded over extensive time periods. There is a need to introduce alternative intuitive strategies that contribute to experts acquiring further knowledge from the ionospheric scintillation data. Such challenges motivated a study on the applicability of visualization techniques to support tasks of identification of relevant attributes in the study of the behavior of phenomena described by multiple time-varying variables, of which the ionospheric scintillation is a good example. In particular, this thesis introduces a visual analytics framework, named TV-MV Analytics, that supports exploratory tasks on time-varying multivariate data and was developed following the requirements of experts on ionospheric scintillation from the Faculty of Science and Technology of UNESP at Presidente Prudente, Brazil. TV-MV Analytics provides an interactive visual exploration loop to analysts inspecting the behavior of multiple variables at different temporal scales, through temporal representations associated with clustering and multidimensional projection techniques. Analysts can also assess how different feature sub-spaces contribute to characterizing a certain behavior, where they may direct the analysis process and include their domain knowledge in the exploratory analysis. We also illustrate the application of TV-MV Analytics on multivariate time-varying data sets from three alternative application domains. Experimental results indicate the proposed solutions show good potential on assisting time-varying multivariate data mining tasks, since it reduces the effort required from experts to gain deeper insight into the historical behavior of the variables describing a phenomenon or domain.A cintilação ionosférica é uma variação rápida na amplitude e/ou na fase dos sinais de rádio que viajam através da ionosfera. Este fenômeno espacial e variante no tempo é de grande interesse, pois pode afetar a qualidade de recepção dos sinais de satélite. Receptores especializados em regiões estratégicas podem rastrear múltiplas variáveis relacionadas ao fenômeno, gerando um banco de dados de observações históricas sobre o comportamento regional da cintilação. O estudo do comportamento da cintilação é desafiador, uma vez que requer a análise extensiva de dados multivariados e variantes no tempo, coletados por longos períodos. Medições são registradas continuamente, e são de natureza heterogênea, compreendendo múltiplas variáveis de diferentes categorias e possivelmente com muitos valores faltantes. Portanto, existe a necessidade de introduzir estratégias alternativas, eficientes e intuitivas, que contribuam para a adquisição de conhecimento, a partir dos dados, por especialistas que estudam a cintilação ionosférica. Tais desafios motivaram o estudo da aplicabilidade de técnicas de visualização para apoiar tarefas de identificação de atributos relevantes no estudo do comportamento de fenômenos ou domínios que envolvem múltiplas variáveis, como a cintilação. Em particular, esta tese introduz um arcabouço visual, o qual foi denominado TV-MV Analytics, que apoia tarefas de análise exploratória sobre dados multivariados e variáveis no tempo, inspirado em requisitos de especialistas no estudo da cintilação, vinculados à Faculdade de Ciências e Tecnologia da UNESP de Presidente Prudente, Brasil. O TV-MV Analytics fornece aos analistas um ciclo de interativo de exploração que apoia a inspeção do comportamento temporal de múltiplas variáveis, em diferentes escalas temporais, por meio de representações visuais temporais associadas a técnicas de agrupamento e de projeção multidimensional. Também permite avaliar como diferentes sub-espaços de atributos caracterizam um determinado comportamento, podendo direcionar o processo de análise e inserir seu conhecimento do domínio no processo de análise exploratória. As funcionalidades do TV-MV Analytics também são ilustradas em dados variantes no tempo oriundos de outros três domínios de aplicação. Os resultados experimentais indicaram que as soluções propostas têm bom potencial em tarefas de mineração de dados multivariados e variantes no tempo, uma vez que reduz o esforço e contribui para os especialistas obterem informações detalhadas sobre o comportamento histórico das variáveis que descrevem um determinado fenômeno ou domínio.
Books on the topic "Space-time features"
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Schommers, W. Cosmic secrets: Basic features of reality. Singapore: World Scientific, 2012.
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1965-, Carlson Laura Anne, and Zee Emile van der, eds. Functional features in language and space: Insights from perception, categorization, and development. Oxford: Oxford University Press, 2005.
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Eyben, Florian. Real-time Speech and Music Classification by Large Audio Feature Space Extraction. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-27299-3.
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J, Müller Hermann, and Deutsche Forschungsgemeinschaft, eds. Neural binding of space and time: Spatial and temporal mechanisms of feature-object binding. Hove, East Sussex: Psychology Press, 2001.
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Hernández, René. Franciscan Books and their Readers. NL Amsterdam: Amsterdam University Press, 2022. http://dx.doi.org/10.5117/9789463729512.
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The book explores the manuscripts written, read, and studied by Franciscan friars from the thirteenth to the fifteenth centuries in Northern Italy, and specifically Padua, assessing four key aspects: ideal, space, form and readership. The ideal is studied through the regulations that determined what manuscripts should aim for. Space refers to the development and role of Franciscan libraries. The form is revealed by the assessment of the physical configuration of a set of representative manuscripts read, written, and manufactured by the friars. Finally, the study of the readership shows how Franciscans were skilled readers who employed certain forms of the manuscript as a portable, personal library, and as a tool for learning and pastoral care. By comparing the book collections of Padua’s reformed and unreformed medieval Franciscan libraries for the first time, this study reveals new features of the ground-breaking cultural agency of medieval friars.
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Callender, Craig. The Differences Between Time and Space. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198797302.003.0006.
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Many philosophers and physicists have mistakenly felt that physics “spatializes time,” in the famous words of Henri Bergson. Contemporary physics instead distinguishes time from space in a variety of ways. Once identified, we can ask new questions about these features. Are there connections among these features? Is it just accidental that they coincide in our world? By identifying what is special to time and finding connections amongst them, we learn something deep about the nature of time in physical theories.
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(Editor), Laura Carlson, and Emile van der Zee (Editor), eds. Functional Features in Language and Space: Insights from Perception, Categorization, and Development (Language and Space). Oxford University Press, USA, 2005.
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Pick, Daniel. 5. Analytic space, time, and technique. Oxford University Press, 2015. http://dx.doi.org/10.1093/actrade/9780199226818.003.0005.
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A patient may have spent years building defences against areas of anxiety and psychic pain; getting past them may take some time. To facilitate analysis, Freud proposed use of a fixed duration (the session) and reliable, regular location (the consulting room) ensuring privacy. ‘Analytic space, time, and technique’ explores features of time, space, and distance in this unusual setting, and highlights technique. It considers how analysts work, some dos, don’ts, and divisive experiments, and answers several questions: why are treatments often fixed-time sessions? Why do patients lie down on a couch during treatment? Why do analysts need to be patients? And how long should analysis last?
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(Editor), Laura Carlson, and Emile van der Zee (Editor), eds. Functional Features in Language and Space: Insights from Perception, Categorization, and Development (Language and Space). Oxford University Press, USA, 2005.
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Carlson, Laura, and Emile van der Zee. Functional Features in Language and Space: Insights from Perception, Categorization, and Development. Oxford University Press, Incorporated, 2004.
Find full textBook chapters on the topic "Space-time features"
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Baker, D. N., T. I. Pulkkinen, R. L. McPherron, and C. R. Clauer. "Multi-spacecraft study of a substorm growth and expansion phase features using a time-evolving field model." In Solar System Plasmas in Space and Time, 101–10. Washington, D. C.: American Geophysical Union, 1994. http://dx.doi.org/10.1029/gm084p0101.
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Coomes, Oliver T. "Paleoriverine Features of the Amazon Lowlands: Human Use of the ‘Arena Negra’ Soils of Lake Charo, Northeastern Peru." In Amazonian Dark Earths: Explorations in Space and Time, 53–65. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-662-05683-7_5.
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Kelling, Steve, Daniel Fink, Wesley Hochachka, Ken Rosenberg, Robert Cook, Theodoros Damoulas, Claudio Silva, and William Michener. "Estimating Species Distributions-Across Space, Through Time, and with Features of the Environment." In The DATA Bonanza, 441–58. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118540343.ch22.
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Zhao, Junchuan. "An Improved Time Series Network Model Based on Multitrack Music Generation." In Proceeding of 2021 International Conference on Wireless Communications, Networking and Applications, 1202–8. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-2456-9_120.
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AbstractDeep learning architecture has become a cutting-edge method for automatic music generation, but there are still problems such as loss of music style and music structure. This paper presents an improved network structure of time series model based on multi-track music. A context generator is added to the traditional architecture. The context generator is responsible for generating cross-track contextual music features between tracks. The purpose is to better generate single-track and multi-track music features and tunes in time and space. A modified mapping model was further added to further modify the prediction results. Experiments show that compared with traditional methods, the proposed will partially improve the objective music evaluation index results.
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Denkers, Jasper, Marvin Brunner, Louis van Gool, and Eelco Visser. "Configuration Space Exploration for Digital Printing Systems." In Software Engineering and Formal Methods, 423–42. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-92124-8_24.
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AbstractWithin the printing industry, much of the variety in printed applications comes from the variety in finishing. Finishing comprises the processing of sheets of paper after being printed, e.g. to form books. The configuration space of finishers, i.e. all possible configurations given the available features and hardware capabilities, are large. Current control software minimally assists operators in finding useful configurations. Using a classical modelling and integration approach to support a variety of configuration spaces is suboptimal with respect to operatability, development time, and maintenance burden.In this paper, we explore the use of a modeling language for finishers to realize optimizing decision making over configuration parameters in a systematic way and to reduce development time by generating control software from models.We present CSX, a domain-specific language for high-level declarative specification of finishers that supports specification of the configuration parameters and the automated exploration of the configuration space of finishers. The language serves as an interface to constraint solving, i.e., we use low-level SMT constraint solving to find configurations for high-level specifications. We present a denotational semantics that expresses a translation of CSX specifications to SMT constraints. We describe the implementation of the CSX compiler and the CSX programming environment (IDE), which supports well-formedness checking, inhabitance checking, and interactive configuration space exploration. We evaluate CSX by modelling two realistic finishers. Benchmarks show that CSX has practical performance (<1s) for several scenarios of configuration space exploration.
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Eckstein, Jutta. "Feature Teams—Distributed and Dispersed." In Agility Across Time and Space, 279–87. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-12442-6_18.
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Eckstein, Jutta. "Roles and Responsibilities in Feature Teams." In Agility Across Time and Space, 289–99. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-12442-6_19.
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Chen, Zhipeng, Zhang Peng, Xueqiang Zou, and Haoqi Sun. "Deep Learning Based Anomaly Detection for Muti-dimensional Time Series: A Survey." In Communications in Computer and Information Science, 71–92. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-9229-1_5.
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AbstractMulti-dimensional time series are multiple sets of variables collected in chronological order, which are the results of observing a certain potential process according to a given sampling rate. It also has the ability to describe space and time and is widely used in many fields such as system state anomaly detection. However, multi-dimensional time series have problems such as dimensional explosion and data sparseness, as well as complex pattern features such as periods and trends. Such characteristics lead to rule-based anomaly detection methods suffer from poor detection effects. In the big data scenario, deep learning method begins to be applied to anomaly detection tasks for multi-dimensional time series due to its wide coverage and strong learning ability. This work first summarizes the definitions of anomaly detection for multi-dimensional time series and the challenges it faces. Related methods are sorted out, and then the deep learning-based method is emphasized. The existing work and its advantages and disadvantages are summarized. Finally, the shortcomings of the existing algorithms are clarified and the future research direction is explored.
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Zanella, Michele. "Post-cloud Computing: Addressing Resource Management in the Resource Continuum." In Special Topics in Information Technology, 105–15. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-15374-7_9.
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AbstractThe exponential growth of interconnected IoT devices, highlights the infrastructure limitations of Cloud-based computing approaches. In this context, novel solutions (i.e., Fog and Edge computing) aim to exploit a continuum resource space composed of nearby and mobile devices as a single heterogeneous and distributed system to move part of the computation closer to data sources. In this regard, the heterogeneous nature of these devices (performance, features, capabilities...) requires proper programming models and run-time management layers. This chapter proposes an overview of recent modeling premises and quantitative results in a resource management perspective through the BarMan framework, which combines a task-based programming model, a run-time resource manager, and the BeeR task distribution software to deploy use-case applications-modules across the boards of a real Fog cluster.
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Ding, Yutang, Yangyang Lu, and Guowen Xiong. "The Design of Safety Monitoring System for Navigation Hubs Built in Plain Area." In Lecture Notes in Civil Engineering, 243–50. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-6138-0_22.
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AbstractNavigation hubs built in plain area usually have large space span and compact structure layout. Safety monitoring performance, especially the surface deformation monitoring performance, is sensitive to the monitoring distance and structure features. Thus the monitoring system should be elaborately designed to meet the requirement of accuracy and robustness. Conventional approaches for surface deformation monitoring are time-consuming and suffering from low accuracy. In this paper, the designing strategies and monitoring techniques for surface deformation monitoring in Jiepai Navigation Hub, a typical navigation-power hub built in plain area, are demonstrated. The monitoring result shows that the designed monitoring system has good performance both in accuracy and robustness. The designing strategy can serve as a reference for other similar projects built in plain area.
Conference papers on the topic "Space-time features"
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Anisimova, Oksana. "Features of interpersonal interaction of higher school teachers." In PERSONALITY IN SPACE AND TIME. SmolGU, 2021. http://dx.doi.org/10.35785/978-5-88018-430-9-2021-10-8-14.
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В данной статье рассматривается содержание понятия «межличностное взаимодействие педагогов высшей школы». Выявлены показатели межличностных отношений педагогов высшей школы, с учетом которых у субъектов процесса эмоциональное благополучие и профессиональная деятельность зависят от психологического настроя и положительного микроклимата, создаваемого в коллективе
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Kuzmina, Ksenia. "Psychological features of online learning perception and formation of attitudes towards it in professional and mass consciousness." In PERSONALITY IN SPACE AND TIME. SmolGU, 2021. http://dx.doi.org/10.35785/978-5-88018-430-9-2021-10-51-60.
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В статье рассмотрены вопросы методической и психолого-педагогической организации дистанционного обучения. Показано, что при стихийном процессе онлайнобучения оно теряет свою целесообразность, так как конечный результат не определен: формирование знаний, умений и навыков обучающихся происходит стихийно и не контролируется педагогом. В науке и педагогической практике назрела необходимость создания и разработки методики и педагогики онлайн-обучения, опирающихся на психологические знания в области организации виртуальной деятельности и общения, а также управления личностными ресурсами.
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Gorbacheva, Elena. "Features of the implementation of the practices of civil participation of university students, depending on their involvement in Internet communication." In PERSONALITY IN SPACE AND TIME. SmolGU, 2021. http://dx.doi.org/10.35785/978-5-88018-430-9-2021-10-38-45.
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В статье обсуждается роль интернет-общения в формировании практик гражданского участия у студенческой молодежи. Представлены полученные на основе выборке калужских студентов данные эмпирического исследования, указывающие на то, что сама по себе включенность в социальные сети не свидетельствует о готовности молодых людей развивать гражданские навыки. Подтвержден характер взаимосвязи информационной активности студентов в социальных сетях и способствующих наращиванию социального капитала практик гражданского участия
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Seidenari, Lorenzo, and Marco Bertini. "Non-parametric anomaly detection exploiting space-time features." In the international conference. New York, New York, USA: ACM Press, 2010. http://dx.doi.org/10.1145/1873951.1874170.
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Lu, J. X., W. L. Song, W. Qu, J. E. Fu, and Z. G. Pang. "The cross time and space features in remote sensing applications." In Remote Sensing of the Environment: 19th National Symposium on Remote Sensing of China, edited by Qingxi Tong and Boqin Zhu. SPIE, 2015. http://dx.doi.org/10.1117/12.2204738.
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Heping Li, Zhanyi Hu, Yihong Wu, and Fuchao Wu. "Behavior Modeling and Recognition Based on Space-Time Image Features." In 18th International Conference on Pattern Recognition (ICPR'06). IEEE, 2006. http://dx.doi.org/10.1109/icpr.2006.319.
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Shuaibu, Aliyu Nuhu, Aamir Saeed Malik, and Ibrahima Faye. "Behavior representation in visual crowd scenes using space-time features." In 2016 6th International Conference on Intelligent and Advanced Systems (ICIAS). IEEE, 2016. http://dx.doi.org/10.1109/icias.2016.7824073.
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Hadibarhaghtalab, Najme, and Zohreh Azimifar. "3D pooling on local space-time features for human action recognition." In 2013 8th Iranian Conference on Machine Vision and Image Processing (MVIP). IEEE, 2013. http://dx.doi.org/10.1109/iranianmvip.2013.6779992.
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Bilinski, Piotr, and Francois Bremond. "Contextual Statistics of Space-Time Ordered Features for Human Action Recognition." In 2012 9th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS). IEEE, 2012. http://dx.doi.org/10.1109/avss.2012.29.
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Zhai, Chuan-Min, Yi-Lan Guo, and Ji-xiang Du. "Event recognition based on bag of local space-time interest points' features." In 2011 Fourth International Workshop on Advanced Computational Intelligence (IWACI). IEEE, 2011. http://dx.doi.org/10.1109/iwaci.2011.6160054.
Full textReports on the topic "Space-time features"
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Oltarzhevskyi, Dmytro. HISTORICAL FEATURES OF CORPORATE MEDIA FORMATION IN UKRAINE AND IN THE WORLD. Ivan Franko National University of Lviv, February 2021. http://dx.doi.org/10.30970/vjo.2021.49.11067.
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The article examines the world and Ukrainian history of corporate periodicals. The main purpose of this study is to reproduce an objective global picture of the emergence and formation of corporate periodicals, taking into account the business and socio-economic context. Accordingly, its tasks are to compare the conditions and features of corporate media genesis in different countries, to determine the main factors of their development, as well as to clarify the transformations of the terminological apparatus. The research is based on mostly foreign secondary scientific works published from 1915 to the present time. The literature was studied using methods such as overview, historical, functional and thematic analysis, description, and generalization. A systematic approach was used to determine the role and place of each element in the system, as well as to comprehensively consider the object in the general historical context and within the current scientific discourse. The method of systematization made it possible to establish internal and external connections, patterns and contradictions in the development of the object of study. The main historical milestones on this path are identified, examples of the first successful corporate publications and their contribution to business development, public relations, and corporate communications are considered. It was found that corporate media emerged in the mid-nineteenth century spontaneously, on the wave of practical business needs in response to industrialization, company increase, staff growth, and consumer market development. Their appearance preceded the formation of the public relations industry and changed the structure of the information space. The scientific significance of this research is that the historical look at the evolution of corporate media provides an understanding of their place, influence, capabilities, and growing communicative role in the digital age.
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Butyrina, Maria, and Valentina Ryvlina. MEDIATIZATION OF ART: VIRTUAL MUSEUM AS MASS MEDIA. Ivan Franko National University of Lviv, February 2021. http://dx.doi.org/10.30970/vjo.2021.49.11075.
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The research is devoted to the study of the phenomenon of mediatization of art on the example of virtual museums. Main objective of the study is to give communication characteristics of the mediatized socio-cultural institutions. The subject of the research is forms, directions and communication features of virtual museums. Methodology. In the process of study, the method of communication analysis, which allowed to identify and characterize the main factors of the museum’s functioning as a communication system, was used. Among them, special emphasis is put on receptive and metalinguistic functions. Results / findings and conclusions. The need to be competitive in the information space determines the gradual transformation of socio-cultural institutions into mass media, which is reflected in the content and forms of dialogue with recipients. When cultural institutions begin to function as media, they take on the features of media structures that create a communication environment localized by the functions of communicators and audience expectations. Museums function in such a way that along with the real art space they form a virtual space, which puts the recipients into the reality of the exhibitions based on the principle of immersion. Mediaization of art on the example of virtual museum institutions allows us to talk about: expanding of the perceptual capabilities of the audience; improvement of the exposition function of mediatized museums with the help of Internet technologies; interactivity of museum expositions; providing broad contextual background knowledge necessary for a deep understanding of the content of works of art; the possibility to have a delayed viewing of works of art; absence of thematic, time and space restrictions; possibility of communication between visitors; a huge target audience. Significance. The study of the mediatized forms of communication between museums and visitors as well as the directions of their transformation into media are certainly of interest to the scientific field of “Social Communications”.
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Johansen, Richard A., Christina L. Saltus, Molly K. Reif, and Kaytee L. Pokrzywinski. A Review of Empirical Algorithms for the Detection and Quantification of Harmful Algal Blooms Using Satellite-Borne Remote Sensing. U.S. Army Engineer Research and Development Center, June 2022. http://dx.doi.org/10.21079/11681/44523.
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Harmful Algal Blooms (HABs) continue to be a global concern, especially since predicting bloom events including the intensity, extent, and geographic location, remain difficult. However, remote sensing platforms are useful tools for monitoring HABs across space and time. The main objective of this review was to explore the scientific literature to develop a near-comprehensive list of spectrally derived empirical algorithms for satellite imagers commonly utilized for the detection and quantification HABs and water quality indicators. This review identified the 29 WorldView-2 MSI algorithms, 25 Sentinel-2 MSI algorithms, 32 Landsat-8 OLI algorithms, 9 MODIS algorithms, and 64 MERIS/Sentinel-3 OLCI algorithms. This review also revealed most empirical-based algorithms fell into one of the following general formulas: two-band difference algorithm (2BDA), three-band difference algorithm (3BDA), normalized-difference chlorophyll index (NDCI), or the cyanobacterial index (CI). New empirical algorithm development appears to be constrained, at least in part, due to the limited number of HAB-associated spectral features detectable in currently operational imagers. However, these algorithms provide a foundation for future algorithm development as new sensors, technologies, and platforms emerge.
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Krushelnytska, Sofiia. UKRAINE’S IMAGE IN THE FRENCH MEDIA DURING THE EVENTS OF 2004. Ivan Franko National University of Lviv, February 2021. http://dx.doi.org/10.30970/vjo.2021.49.11065.
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The article examines the formation of the image of Ukraine by the French media during the Orange Revolution. The main factors influencing the tone of publications and difficulties in creating a positive external image of Ukraine in the French media are identified. The article is aimed at the analysis of scientific research on the influence of the French media on the formation of the image of Ukraine and its role in international socio-political processes. The study analyzes the materials of French journalists in the media, written during the events in 2004. The main factors influencing the formation of positive features of the Ukrainian state are identified. The main changes in perceptions of Ukraine in the French media are systematized. The influence of the media on the formation of the image and security of the state is determined. The main peaks of interest in Ukraine from foreign mass media are analyzed. Stereotypes and myths in the image of Ukraine that should be destroyed have been identified. The article also analyzes the role of the Orange Revolution in forming a positive image of Ukraine for foreign recipients. It is also investigated what factors influence the information space of the state and its role in image formation. Examples of Russian influence on the French media in order to undermine Ukraine’s image at the international level are given. Articles, radio and TV materials are offered as an example of interest and attention to the events of 2004. At the same time, the need to control the information that enters the information space outside Ukraine has been demonstrated. However, the positive effects of the image on the support of Ukraine by foreign partners have been identified.
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Dmytrovskyi, Zenon. THE TEXTBOOK, THAT TEACHES AND BRINGS UP. Ivan Franko National University of Lviv, February 2022. http://dx.doi.org/10.30970/vjo.2022.51.11414.
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The review is about textbook on television and radio communication for students, teachers of faculties and departments of journalism, as well as journalists-practitioners, prepared by the author’s team edited by Vasyl Lyzanchuk. Textbok absorbed some considerations and conclusions from previous theoretical developments, which found a new meaning here, deeper argumentation, supplemented by many interesting observations that correspond to the spirit of the time, the innovations that have appeared in recent years in the media space of Ukraine. The textbook has ten sections, each of which is designed to enrich the student with knowledge of television and radio communications, teach him or her all that a media professional should know and be able to apply it in practice. The titles of the sections indicate their practical orientation: «Basic methodical measures of functioning of information radio and television genres», «How we analyze, interpret, explain facts, events, phenomena», «Features of the creation of artistic programs on radio and television» and others. All sections of the textbook are meaningfully connected and constructed in such a way as to provide students with the opportunity to gradually, step by step to deepen their theoretical and practical knowledge of television and radio communications. This is undoubtedly the merit of the authors of the edition. The student will benefit from the numerous examples of television and radio materials prepared by the students themselves. Their creative work should convince that this work can serve as a stimulus for creative work for future journalists during their years of study. In addition to professional competence, as rightly emphasized in the textbook by Professor Vasyl Lyzanchuk, “It is very important to form in students, future journalists, socio-national competence, deep understanding of the essence of freedom of speech and responsibility for the content of the spoken word and image, to develop the belief that they are active participants in the Ukrainian state-building processes, and not intermediaries or repeaters of information”. It should be noted that the educational element is present throughout the textbook starting with the first chapter, historical (author Professor Ivan Krupskyi). While studying this textbook, students should realize that from the honor of journalists, their dignity, patriotism depends on the honor, authority, bright name of Ukraine, its future; that their assertion of Ukrainian national identity is the key to further prosperity of our state.
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Roye, Thorsten. Unsettled Technology Areas in Deterministic Assembly Approaches for Industry 4.0. SAE International, August 2021. http://dx.doi.org/10.4271/epr2021018.
Full textAbstract:
Increased production rates and cost reduction are affecting manufacturing in all sectors of the mobility industry. One enabling methodology that could achieve these goals in the burgeoning “Industry 4.0” environment is the deterministic assembly (DA) approach. The DA approach is defined as an optimized assembly process; it always forms the same final structure and has a strong link to design-for-assembly and design-for-automation methodologies. It also looks at the whole supply chain, enabling drastic savings at the original equipment manufacturer (OEM) level by reducing recurring costs and lead time. Within Industry 4.0, DA will be required mainly for the aerospace and the space industry, but serves as an interesting approach for other industries assembling large and/or complex components. In its entirety, the DA approach connects an entire supply chain—from part manufacturing at an elementary level to an OEM’s final assembly line level. Addressing the whole process of aircraft design and manufacturing is necessary to develop further collaboration models between OEMs and the supply chain, including addressing the most pressing technology challenges. Since all parts aggregate at the OEM level, the OEM—as an integrator of all these single parts—needs special end-to-end methodologies to drastically decrease cost and lead time. This holistic approach can be considered in part design as well (in the design-for-automation and design-for-assembly philosophy). This allows for quicker assembly at the OEM level, such as “part-to-part” or “hole-to-hole” approaches, versus traditional, classical assembly methods like manual measurement or measurement-assisted assembly. In addition, it can increase flexibility regarding rate changes in production (such as those due to pandemic- or climate-related environmental challenges). The standardization and harmonization of these areas would help all industries and designers to have a deterministic approach with an end-to-end concept. Simulations can easily compare possible production and assembly steps with different impacts on local and global tolerances. Global measurement feedback needs high-accuracy turnkey solutions, which are very costly and inflexible. The goal of standardization would be to use Industry 4.0 feedback and features, as well as to define several building blocks of the DA approach as a one-way assembly (also known as one-up assembly, or “OUA”), false one-way assembly, “Jig-as-Master,” etc., up to the hole-to-hole assembly approach. The evolution of these assembly principles and the link to simulation approaches are undefined and unsolved domains; they are discussed in this report. They must be discussed in greater depth with aims of (first) clarifying the scope of the industry-wide alignment needs and (second) prioritizing the issues requiring standardization. NOTE: SAE EDGE™ Research Reports are intended to identify and illuminate key issues in emerging, but still unsettled, technologies of interest to the mobility industry. The goal of SAE EDGE™ Research Reports is to stimulate discussion and work in the hope of promoting and speeding resolution of identified issues. SAE EDGE™ Research Reports are not intended to resolve the challenges they identify or close any topic to further scrutiny.
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McIntyre, Phillip, Susan Kerrigan, and Marion McCutcheon. Australian Cultural and Creative Activity: A Population and Hotspot Analysis: Albury-Wodonga. Queensland University of Technology, 2020. http://dx.doi.org/10.5204/rep.eprints.206966.
Full textAbstract:
Albury-Wodonga, situated in Wiradjuri country, sits astride the Murray River and has benefitted in many ways from its almost equidistance from Sydney and Melbourne. It has found strength in the earlier push for decentralisation begun in early 1970s. A number of State and Federal agencies have ensured middle class professionals now call this region home. Light industry is a feature of Wodonga while Albury maintains the traditions and culture of its former life as part of the agricultural squattocracy. Both Local Councils are keen to work cooperatively to ensure the region is an attractive place to live signing an historical partnership agreement. The region’s road, rail, increasing air links and now digital infrastructure, keep it closely connected to events elsewhere. At the same time its distance from the metropolitan centres has meant it has had to ensure that its creative and cultural life has been taken into its own hands. The establishment of the sophisticated Murray Art Museum Albury (MAMA) as well as the presence of the LibraryMuseum, Hothouse Theatre, Fruit Fly Circus, The Cube, Arts Space and the development of Gateway Island on the Murray River as a cultural hub, as well as the high profile activities of its energetic, entrepreneurial and internationally savvy locals running many small businesses, events and festivals, ensures Albury Wodonga has a creative heart to add to its rural and regional activities.
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Yermiyahu, Uri, Thomas Kinraide, and Uri Mingelgrin. Role of Binding to the Root Surface and Electrostatic Attraction in the Uptake of Heavy Metal by Plants. United States Department of Agriculture, 2000. http://dx.doi.org/10.32747/2000.7586482.bard.
Full textAbstract:
The principal accomplishment of the research supported by BARD was progress toward a comprehensive view of cell-surface electrical effects (both in cell walls [CWs] and at plasma membrane [PM] surfaces) upon ion uptake, intoxication, and amelioration. The research confirmed that electrostatic models (e.g., Gouy-Chapman-Stern [G-C-S]), with parameter values contributed by us, successfully predict ion behavior at cell surfaces. Specific research objectives 1. To characterize the sorption of selected heavy metals (Cu, Zn, Pb, Cd) to the root PM in the presence of other cations and organic ligands (citric and humic acids). 2. To compute the parameters of a G-C-S model for heavy-metal sorption to the root PM. 3. To characterize the accumulation of selected heavy metals in various plant parts. 4. To determine whether model-computed ion binding or ion activities at root PM surfaces predict heavy-metal accumulation in whole roots, root tips, or plant shoots. 5. To determine whether measured ion binding by protoplast-free roots (i.e., root CWs) predicts heavy-metal accumulation in whole roots, root tips, or plant shoots. 6. To correlate growth inhibition, and other toxic responses, with the measured and computed factors mentioned above. 7. To determine whether genotypic differences in heavy-metal accumulation and toxic responses correlate with genotypic differences in parameters of the G-C-S model. Of the original objectives, all except for objective 7 were met. Work performed to meet the other objectives, and necessitated on the basis of experimental findings, took the time that would have been required to meet objective 7. In addition, work with Pb was unsuccessful due to experimental complications and work on Cd is still in progress. On the other hand, the uptake and toxicity of the anion, selenate was characterized with respect to electrostatic effects and the influences of metal cations. In addition, the project included more theoretical work, supported by experimentation, than was originally planned. This included transmembrane ion fluxes considered in terms of PM-surface electrical potentials and the influence of CWs upon ion concentrations at PM surfaces. A important feature of the biogeochemistry of trace elements in the rhizosphere is the interaction between plant-root surfaces and the ions present in the soil solution. The ions, especially the cations, of the soil solution may be accumulated in the aqueous phases of cell surfaces external to the PMs, sometimes referred to as the "water free space" and the "Donnan free space". In addition, ions may bind to the CW components or to the PM surface with variable binding strength. Accumulation at the cell surface often leads to accumulation in other plant parts with implications for the safety and quality of foods. A G-C-S model for PMs and a Donnan-plus-binding model for CWs were used successfully to compute electrical potentials, ion binding, and ion concentration at root-cell surfaces. With these electrical potentials, corresponding values for ion activities may be computed that are at least proportional to actual values also. The computed cell-surface ion activities predict and explain ion uptake, intoxication, and amelioration of intoxication much more accurately than ion activities in the bulk-phase rooting medium.