692 research outputs found

    Advances and Applications of DSmT for Information Fusion. Collected Works, Volume 5

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    This fifth volume on Advances and Applications of DSmT for Information Fusion collects theoretical and applied contributions of researchers working in different fields of applications and in mathematics, and is available in open-access. The collected contributions of this volume have either been published or presented after disseminating the fourth volume in 2015 in international conferences, seminars, workshops and journals, or they are new. The contributions of each part of this volume are chronologically ordered. First Part of this book presents some theoretical advances on DSmT, dealing mainly with modified Proportional Conflict Redistribution Rules (PCR) of combination with degree of intersection, coarsening techniques, interval calculus for PCR thanks to set inversion via interval analysis (SIVIA), rough set classifiers, canonical decomposition of dichotomous belief functions, fast PCR fusion, fast inter-criteria analysis with PCR, and improved PCR5 and PCR6 rules preserving the (quasi-)neutrality of (quasi-)vacuous belief assignment in the fusion of sources of evidence with their Matlab codes. Because more applications of DSmT have emerged in the past years since the apparition of the fourth book of DSmT in 2015, the second part of this volume is about selected applications of DSmT mainly in building change detection, object recognition, quality of data association in tracking, perception in robotics, risk assessment for torrent protection and multi-criteria decision-making, multi-modal image fusion, coarsening techniques, recommender system, levee characterization and assessment, human heading perception, trust assessment, robotics, biometrics, failure detection, GPS systems, inter-criteria analysis, group decision, human activity recognition, storm prediction, data association for autonomous vehicles, identification of maritime vessels, fusion of support vector machines (SVM), Silx-Furtif RUST code library for information fusion including PCR rules, and network for ship classification. Finally, the third part presents interesting contributions related to belief functions in general published or presented along the years since 2015. These contributions are related with decision-making under uncertainty, belief approximations, probability transformations, new distances between belief functions, non-classical multi-criteria decision-making problems with belief functions, generalization of Bayes theorem, image processing, data association, entropy and cross-entropy measures, fuzzy evidence numbers, negator of belief mass, human activity recognition, information fusion for breast cancer therapy, imbalanced data classification, and hybrid techniques mixing deep learning with belief functions as well

    Current issues of the management of socio-economic systems in terms of globalization challenges

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    The authors of the scientific monograph have come to the conclusion that the management of socio-economic systems in the terms of global challenges requires the use of mechanisms to ensure security, optimise the use of resource potential, increase competitiveness, and provide state support to economic entities. Basic research focuses on assessment of economic entities in the terms of global challenges, analysis of the financial system, migration flows, logistics and product exports, territorial development. The research results have been implemented in the different decision-making models in the context of global challenges, strategic planning, financial and food security, education management, information technology and innovation. The results of the study can be used in the developing of directions, programmes and strategies for sustainable development of economic entities and regions, increasing the competitiveness of products and services, decision-making at the level of ministries and agencies that regulate the processes of managing socio-economic systems. The results can also be used by students and young scientists in the educational process and conducting scientific research on the management of socio-economic systems in the terms of global challenges

    IMAGINING, GUIDING, PLAYING INTIMACY: - A Theory of Character Intimacy Games -

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    Within the landscape of Japanese media production, and video game production in particular, there is a niche comprising video games centered around establishing, developing, and fulfilling imagined intimate relationships with anime-manga characters. Such niche, although very significant in production volume and lifespan, is left unexplored or underexplored. When it is not, it is subsumed within the scope of wider anime-manga media. This obscures the nature of such video games, alternatively identified with descriptors including but not limited to ‘visual novel’, ‘dating simulator’ and ‘adult computer game’. As games centered around developing intimacy with characters, they present specific ensembles of narrative content, aesthetics and software mechanics. These ensembles are aimed at eliciting in users what are, by all intents and purposes, parasocial phenomena towards the game’s characters. In other words, these software products encourage players to develop affective and bodily responses towards characters. They are set in a way that is coherent with shared, circulating scripts for sexual and intimate interaction to guide player imaginative action. This study defines games such as the above as ‘character intimacy games’, video game software where traversal is contingent on players knowingly establishing, developing, and fulfilling intimate bonds with fictional characters. To do so, however, player must recognize themselves as playing that type of game, and to be looking to develop that kind of response towards the game’s characters. Character Intimacy Games are contingent upon player developing affective and bodily responses, and thus presume that players are, at the very least, non-hostile towards their development. This study approaches Japanese character intimacy games as its corpus, and operates at the intersection of studies of communication, AMO studies and games studies. The study articulates a research approach based on the double need of approaching single works of significance amidst a general scarcity of scholarly background on the subject. It juxtaposes data-driven approaches derived from fan-curated databases – The Visual Novel Database and Erogescape -Erogē Hyōron Kūkan – with a purpose-created ludo-hermeneutic process. By deploying an observation of character intimacy games through fan-curated data and building ludo-hermeneutics on the resulting ontology, this study argues that character intimacy games are video games where traversal is contingent on players knowingly establishing, developing, and fulfilling intimate bonds with fictional characters and recognizing themselves as doing so. To produce such conditions, the assemblage of software mechanics and narrative content in such games facilitates intimacy between player and characters. This is, ultimately, conductive to the emergence of parasocial phenomena. Parasocial phenomena, in turn, are deployed as an integral assumption regarding player activity within the game’s wider assemblage of narrative content and software mechanics

    The development of efficient hemi-autotrophic carbon fixation in Escherichia Coli

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    Carbon fixation is a process vital to any life and as by far its most prevalent variant, the Calvin Benson Bassham (CBB) cycle is vital to virtually all known terrestrial life. Mostly occurring in plants, it uses light energy to sequester atmospheric carbon dioxide (CO2) and convert it into biomass. As the most inefficient natural carboxylation process and source of most biomass documented, even a small increase of its performance could have vast downstream effects. Such a development could assimilate the abundantly available atmospheric CO2 while generating minimal amounts of waste for any biosynthesized product. The Escherichia coli bacterium was previously shown to functionally express the CBB cycle upon the addition of phosphoribulokinase (PRK) and ribulose 1,5-bisphosphate carboxylase/oxygenase (RuBisCO). Further knock-outs severed its energetic metabolism from the carbon metabolism resulted CO2-dependent biomass accumulation. This carbon fixation is driven by the energy independently generated in the TCA cycle from a supply of pyruvate. This unique, split metabolism was dubbed hemi-autotrophy. The hemi-autotrophic strain of E. coli serves as a model organism for the CBB cycle, but lacking any of the difficulties of light-dependent or multi-cellular organisms. A pyrophosphate-dependent 6-phosphofructokinase (PFP) originating from Methylococcus capsulatus Bath was characterised as catalyzing three reactions of the typical CBB cycle. Where PRK completes its catalysis with a dependency on energy-carrier adenosine triphosphate (ATP), PFP was shown to complete this reaction with the less energetic pyrophosphate (PPi) that is partially generated in its FBPase and SBPase-equivalent reactions. Successful integration of this synthetic CBB cycle would conserve 33% of all ATP expended in the native CBB cycle. The hemi-autrophic E. coli strain’s unique culturing requirements proved challenging but methods with increased dependability were established. Transformations without the relief of these conditions remain elusive, requiring pre-cultures in rich media and heterotrophic metabolism. The consecutive sub-culturing of the strain to increase its hampered growth characteristics resulted in mild improvements. Despite observing modest culturing characteristic and a relatively high chromosomal mutation rate, the strain did not demonstrated an increase in transformation efficiency. The attempted replacements of the plasmid-encoded prkA by pfp did not result in hemi-autotrophic growth in any of its constructs, despite modulation of their expression. Troubled by high mutation rates, it remains unknown whether the expression range of the significantly less efficient PFP was sufficient or if the cytoplasmic availability of PPi remained below its functionally required concentration. The putative H+-pyrophosphatase pump (HPP), natively expressed as the second gene in the pfp-hpp operon, remains uncharacterised but its co-expression did not manage to compensate for this deficiency either. Though native fbp was successfully knocked-out, the essential inorganic pyrophosphatase gene of E. coli remains. Thorough analysis of the components in the CBB system led to several design improvements and pathway modelling indicates the proposed synthetic CBB cycle is a viable alternative to its natural variant. Thermodynamic feasibility of the synthetic pathway was confirmed and kinetic analysis also predicted it to perform at reduced efficiencies while still indicating culture viability. Growth rates approximating those of the hemi-autotrophic strain were produced in a kinetic model of the central carbon metabolism while incorporating minimal assumptions. Modifying it to support the synthetic CBB cycle suggested its viability at a nominal reduction of growth, while suggesting further directions of research for the system

    Integrated HBIM-GIS Models for Multi-Scale Seismic Vulnerability Assessment of Historical Buildings

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    The complexity of historical urban centres progressively needs a strategic improvement in methods and the scale of knowledge concerning the vulnerability aspect of seismic risk. A geographical multi-scale point of view is increasingly preferred in the scientific literature and in Italian regulation policies, that considers systemic behaviors of damage and vulnerability assessment from an urban perspective according to the scale of the data, rather than single building damage analysis. In this sense, a geospatial data sciences approach can contribute towards generating, integrating, and making virtuous relations between urban databases and emergency-related data, in order to constitute a multi-scale 3D database supporting strategies for conservation and risk assessment scenarios. The proposed approach developed a vulnerability-oriented GIS/HBIM integration in an urban 3D geodatabase, based on multi-scale data derived from urban cartography and emergency mapping 3D data. Integrated geometric and semantic information related to historical masonry buildings (specifically the churches) and structural data about architectural elements and damage were integrated in the approach. This contribution aimed to answer the research question supporting levels of knowledge required by directives and vulnerability assessment studies, both about the generative workflow phase, the role of HBIM models in GIS environments and toward user-oriented webGIS solutions for sharing and public use fruition, exploiting the database for expert operators involved in heritage preservation

    Coping with the inheritance of COVID-19: the role of new interactive technologies to enhance user experience in different contexts of use

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    The COVID-19 pandemic has upset the habits of people and various sectors of society, including training, entertainment, and retail. These sectors have been forced to adapt to abnormal situations such as social distancing, remote work, and online entertainment. The pandemic has significantly transformed the training field, leading to the closure of many in-person instruction centers and a shift toward online education courses, which can be less effective. In addition, the entertainment industry has been heavily transformed by social distancing, resulting in the cancellation of many live events and the closure of several cinemas. This has increased demand for online entertainment options, such as streaming services and virtual events. Finally, the restrictions imposed by the COVID-19 pandemic substantially impacted physical stores and fairs, suspending exhibitions for more than two years. This has further driven consumers to rely on e-commerce to fulfill their purchasing and companies to increasingly take advantage of new technologies such as augmented reality. In this suddenly disrupted scenario, new technologies have the potential to fill the gap generated by the pandemic, functioning as an interactive bridge to connect people. This Ph.D. thesis explored the potential of interactive technologies in mitigating the challenges posed by the COVID-19 pandemic in various contexts of use in the above-mentioned areas. Specifically, three lines of research were investigated by conducting different studies using a mixed approach in the Human-Computer Interaction field. The first research line focused on the study of immersive virtual reality training, with a particular interest in flood emergencies, a growing phenomenon. The goal was to implement engaging and efficient training for citizens that live near rivers through a human-centric design approach. The second line of research explored innovative ways to improve social interaction and collaboration in the entertainment sector, highlighting guidelines for the design of shared streaming experiences. In particular, three different communication modalities were studied during group viewing of an interactive film on a streaming platform. Finally, the third research line focused on the retail sector. On the one hand, the focus consisted of understanding which aspects of the 3D web and AR technology are helpful for supporting small businesses and trade fairs. On the other hand, the focus was to investigate how to support consumers during an AR shopping experience when interacting with 3D virtual products of different sizes. Overall, this project provides suggestions and guidelines for designing systems that can both increasingly connect people at a distance and offer new hybrid worlds. In addition, this project expands state-of-the-art related to interactive technologies and offers generalizable results outside the crisis created by COVID-19. These technologies, now increasingly integrated into everyday life, can be a tool for empowerment and resilience, improving people's lives.The COVID-19 pandemic has upset the habits of people and various sectors of society, including training, entertainment, and retail. These sectors have been forced to adapt to abnormal situations such as social distancing, remote work, and online entertainment. The pandemic has significantly transformed the training field, leading to the closure of many in-person instruction centers and a shift toward online education courses, which can be less effective. In addition, the entertainment industry has been heavily transformed by social distancing, resulting in the cancellation of many live events and the closure of several cinemas. This has increased demand for online entertainment options, such as streaming services and virtual events. Finally, the restrictions imposed by the COVID-19 pandemic substantially impacted physical stores and fairs, suspending exhibitions for more than two years. This has further driven consumers to rely on e-commerce to fulfill their purchasing and companies to increasingly take advantage of new technologies such as augmented reality. In this suddenly disrupted scenario, new technologies have the potential to fill the gap generated by the pandemic, functioning as an interactive bridge to connect people. This Ph.D. thesis explored the potential of interactive technologies in mitigating the challenges posed by the COVID-19 pandemic in various contexts of use in the above-mentioned areas. Specifically, three lines of research were investigated by conducting different studies using a mixed approach in the Human-Computer Interaction field. The first research line focused on the study of immersive virtual reality training, with a particular interest in flood emergencies, a growing phenomenon. The goal was to implement engaging and efficient training for citizens that live near rivers through a human-centric design approach. The second line of research explored innovative ways to improve social interaction and collaboration in the entertainment sector, highlighting guidelines for the design of shared streaming experiences. In particular, three different communication modalities were studied during group viewing of an interactive film on a streaming platform. Finally, the third research line focused on the retail sector. On the one hand, the focus consisted of understanding which aspects of the 3D web and AR technology are helpful for supporting small businesses and trade fairs. On the other hand, the focus was to investigate how to support consumers during an AR shopping experience when interacting with 3D virtual products of different sizes. Overall, this project provides suggestions and guidelines for designing systems that can both increasingly connect people at a distance and offer new hybrid worlds. In addition, this project expands state-of-the-art related to interactive technologies and offers generalizable results outside the crisis created by COVID-19. These technologies, now increasingly integrated into everyday life, can be a tool for empowerment and resilience, improving people's lives

    Automatic Control and Routing of Marine Vessels

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    Due to the intensive development of the global economy, many problems are constantly emerging connected to the safety of ships’ motion in the context of increasing marine traffic. These problems seem to be especially significant for the further development of marine transportation services, with the need to considerably increase their efficiency and reliability. One of the most commonly used approaches to ensuring safety and efficiency is the wide implementation of various automated systems for guidance and control, including such popular systems as marine autopilots, dynamic positioning systems, speed control systems, automatic routing installations, etc. This Special Issue focuses on various problems related to the analysis, design, modelling, and operation of the aforementioned systems. It covers such actual problems as tracking control, path following control, ship weather routing, course keeping control, control of autonomous underwater vehicles, ship collision avoidance. These problems are investigated using methods such as neural networks, sliding mode control, genetic algorithms, L2-gain approach, optimal damping concept, fuzzy logic and others. This Special Issue is intended to present and discuss significant contemporary problems in the areas of automatic control and the routing of marine vessels
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