scholarly journals Fragmented Narratives: Exploring Storytelling approaches for Animation in Spatial Context

2021 ◽  
Vol 6 (2) ◽  
pp. 7-27
Author(s):  
Lea Vidakovic ◽  

Animation is considered a prevalent medium in contemporary moving image culture, which increasingly appears across non-conventional surfaces and spaces. And while storytelling in animation films has been extensively theorized, narrative forms that employ physical space as part of storytelling have been less explored. This paper will examine the narrative aspect of animation works which are screened outside the traditional cinematic venues. It will look at how these animation works tell stories differently - using the full potential of the space, as a narrative device, a tool, and a stage where the narratives unfold. This paper will look at the historical perspective and the state of the art in animation installation today, exploring the relationship between the space and narrative in pre-cinematic, cinematic and post-cinematic conditions. It will examine how narrative structures in animation have changed over time, on their way from the black box of the cinema to the white cube of the gallery and even further, where they became part of any space or architecture. Through case studies of works by Tabaimo, Rose Bond, William Kentridge and other relevant artists, the interdependency of the narrative and the space where it appears will be explored, in order to identify new strategies for storytelling in animation. The aim of this paper is to emphasize the storytelling novelty that animation installations offer, which goes beyond the narrative structures that we are used to see on a single flat surface.

2005 ◽  
Vol 1 (2-3) ◽  
pp. 237-257
Author(s):  
Ravi Vasudevan

This article focuses on the specific Indian cinematic form of the Hindu devotional film genre to explore the relationship between cinema and religion. Using three important early films from the devotional oeuvre—Gopal Krishna, Sant Dnyaneshwar, and Sant Tukaram—as the primary referent, it tries to understand certain characteristic patterns in the narrative structures of these films, and the cultures of visuality and address, miraculous manifestation, and witnessing and self-transformation that they generate. These three films produced by Prabhat Studios between the years 1936 and 1940 and all directed by Vishnupant Damle and Syed Fattelal, drew upon the powerful anti-hierarchical traditions of Bhakti, devotional worship that circumvented Brahmanical forms. This article will argue that the devotional film crucially undertakes a work of transformation in the perspectives on property, and that in this engagement it particularly reviews the status of the household in its bid to generate a utopian model of unbounded community. The article will also consider the status of technologies of the miraculous that are among the central attractions of the genre, and afford a reflection on the relation between cinema technology, popular religious belief and desire, and film spectatorship.


Author(s):  
Gary Totten

This chapter discusses how consumer culture affects the depiction and meaning of the natural world in the work of American realist writers. These writers illuminate the relationship between natural environments and the social expectations of consumer culture and reveal how such expectations transform natural space into what Henri Lefebvre terms “social space” implicated in the processes and power dynamics of production and consumption. The representation of nature as social space in realist works demonstrates the range of consequences such space holds for characters. Such space can both empower and oppress individuals, and rejecting or embracing it can deepen moral resolve, prompt a crisis of self, or result in one’s death. Characters’ attempts to escape social space and consumer culture also provide readers with new strategies for coping with their effects.


Author(s):  
Gabriel Wilkes ◽  
Roman Engelhardt ◽  
Lars Briem ◽  
Florian Dandl ◽  
Peter Vortisch ◽  
...  

This paper presents the coupling of a state-of-the-art ride-pooling fleet simulation package with the mobiTopp travel demand modeling framework. The coupling of both models enables a detailed agent- and activity-based demand model, in which travelers have the option to use ride-pooling based on real-time offers of an optimized ride-pooling operation. On the one hand, this approach allows the application of detailed mode-choice models based on agent-level attributes coming from mobiTopp functionalities. On the other hand, existing state-of-the-art ride-pooling optimization can be applied to utilize the full potential of ride-pooling. The introduced interface allows mode choice based on real-time fleet information and thereby does not require multiple iterations per simulated day to achieve a balance of ride-pooling demand and supply. The introduced methodology is applied to a case study of an example model where in total approximately 70,000 trips are performed. Simulations with a simplified mode-choice model with varying fleet size (0–150 vehicles), fares, and further fleet operators’ settings show that (i) ride-pooling can be a very attractive alternative to existing modes and (ii) the fare model can affect the mode shifts to ride-pooling. Depending on the scenario, the mode share of ride-pooling is between 7.6% and 16.8% and the average distance-weighed occupancy of the ride-pooling fleet varies between 0.75 and 1.17.


Polymers ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 801
Author(s):  
Talita Nicolau ◽  
Núbio Gomes Filho ◽  
Andrea Zille

In normal conditions, discarding single-use personal protective equipment after use is the rule for its users due to the possibility of being infected, particularly for masks and filtering facepiece respirators. When the demand for these protective tools is not satisfied by the companies supplying them, a scenario of shortages occurs, and new strategies must arise. One possible approach regards the disinfection of these pieces of equipment, but there are multiple methods. Analyzing these methods, Ultraviolet-C (UV-C) becomes an exciting option, given its germicidal capability. This paper aims to describe the state-of-the-art for UV-C sterilization in masks and filtering facepiece respirators. To achieve this goal, we adopted a systematic literature review in multiple databases added to a snowball method to make our sample as robust as possible and encompass a more significant number of studies. We found that UV-C’s germicidal capability is just as good as other sterilization methods. Combining this characteristic with other advantages makes UV-C sterilization desirable compared to other methods, despite its possible disadvantages.


2021 ◽  
Vol IV (2) ◽  
pp. 84-97
Author(s):  
Alina Popa ◽  

With the recent COVID-19 pandemic, the world we knew changed significantly. The buying behavior shifted as well and is reflected by a growing transition to online interaction, higher media consumption and massive turn to online shopping. Companies that aim to remain top of mind to customers should ensure that their way of interacting with user is both relevant and highly adaptive. Companies should invest in state-of-the-art technologies that help manage and optimize the relationship with the client based on both online and offline data. One of the most popular applications that companies use to develop the client relationship is a Recommender System. The vast majority of traditional recommender systems consider the recommendation as a static procedure and focus either on a specific type of recommendation or on some limited data. In this paper, it is proposed a novel Reinforcement Learning-based recommender system that has an integrative view over data and recommendation landscape, as well as it is highly adaptive to changes in customer behavior, the Holistic Adaptive Recommender System (HARS). From system design to detailed activities, it was attempted to present a comprehensive way of designing and developing a HARS system for an e-commerce company use-case as well as giving a suite of metrics that could be used for its evaluation.


2018 ◽  
Vol 43 (03) ◽  
pp. 1113-1129
Author(s):  
Kali Murray

This essay considers what tools should be used to study the legal history of intellectual property. I identify three historiographical strategies: narration, contest, and formation. Narration identifies the diverse “narrative structures” that shape the field of intellectual property history. Contest highlights how the inherent instability of intellectual property as a legal concept prompts recurrent debates over its meaning. Formation recognizes how intellectual property historians can offer insight into broader legal history debates over how to consider the relationship between informal social practices and formalized legal mechanisms. I consider Kara W. Swanson's Banking on the Body: The Market in Blood, Milk and Sperm in Modern America (2014) in light of these historiographical strategies and conclude that Swanson's book guides us to a new conversation in the legal history of intellectual property law.


Author(s):  
Luis Raul Meza Mendoza ◽  
María Elena Moya Martinez ◽  
Angelica Maria Sabando Suarez

Since the beginning of humanity, an attempt has been made to explain the way in which man acquires knowledge, the way in which he assimilates, processes and executes it in order to develop the teaching-learning process that people need throughout of his life, which forces to change the learning schemes using new study methodologies, such as neuroscience, which is a discipline that studies the functioning of the brain, the relationship of neurons to the formation of synapses creating immediate responses which transmits to the body voluntarily and involuntarily, in addition to controlling the central and peripheral nervous system with their respective functions. It is necessary to change the traditional scheme and implement new strategies that allow the teacher to venture into neuroscience, in order to individually understand the different learning processes that students do. As some authors of neuroscience say, the brain performs processes of acquisition, storage and evocation of information, which form new knowledge schemes that generate changes in the attitude of the human being, for this reason teachers are responsible for taking advantage of what It is known about the multiple functions of the brain and be clear about the various ways of acquiring knowledge.


2021 ◽  
Vol 12 (2) ◽  
pp. 44-56
Author(s):  
Nathan Ferret

By studying the logic that unites play, the rules of games and the body of players, this article intends to highlight a spatial mimesis through play and games. It consists of carrying out a Ricœurian anthropology of play and game, taking Ricœur's analysis of the relationship between time and narrative as a model. The article then shows that play prefigures the physical space as a lived space, that game configures a space of rules and that the player's body is refigured by the spatiality of the rules of the game. This application of the ternary model of Ricœurian mimesis thus allows a unified understanding of play and games by space, and of space by play and games.


2022 ◽  
Vol 14 (2) ◽  
pp. 259
Author(s):  
Yuting Yang ◽  
Kenneth Kin-Man Lam ◽  
Xin Sun ◽  
Junyu Dong ◽  
Redouane Lguensat

Marine hydrological elements are of vital importance in marine surveys. The evolution of these elements can have a profound effect on the relationship between human activities and marine hydrology. Therefore, the detection and explanation of the evolution laws of marine hydrological elements are urgently needed. In this paper, a novel method, named Evolution Trend Recognition (ETR), is proposed to recognize the trend of ocean fronts, being the most important information in the ocean dynamic process. Therefore, in this paper, we focus on the task of ocean-front trend classification. A novel classification algorithm is first proposed for recognizing the ocean-front trend, in terms of the ocean-front scale and strength. Then, the GoogLeNet Inception network is trained to classify the ocean-front trend, i.e., enhancing or attenuating. The ocean-front trend is classified using the deep neural network, as well as a physics-informed classification algorithm. The two classification results are combined to make the final decision on the trend classification. Furthermore, two novel databases were created for this research, and their generation method is described, to foster research in this direction. These two databases are called the Ocean-Front Tracking Dataset (OFTraD) and the Ocean-Front Trend Dataset (OFTreD). Moreover, experiment results show that our proposed method on OFTreD achieves a higher classification accuracy, which is 97.5%, than state-of-the-art networks. This demonstrates that the proposed ETR algorithm is highly promising for trend classification.


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