Point cloud data compression

The rapid growth in the popularity of Augmented Reality (AR), Virtual Reality (VR), and Mixed Reality (MR) experiences have resulted in an exponential surge of three-dimensional data. Point clouds have emerged as a commonly employed representation for capturing and visualizing three-dimensional data in these environments. Consequently, there has been a substantial research effort dedicated to developing efficient compression algorithms for point cloud data. This Master's thesis aims to investigate the current state-of-the-art lossless point cloud geometry compression techniques, explore some of these techniques in more detail and then propose improvements and/or extensions to enhance them and provide directions for future work on this topic

The blues and jazz in Albert Murray\u27s fiction: A study in the tradition of stylization

The use of the blues as a critical theory and as a literary model for the crafting of fiction opens new possibilities for both intellectual and artistic exploration. Reflecting the power of human agency amidst antagonism, the blues is the music of personal triumph over the brutality of circumstances despite any change in condition. The music\u27s emphasis on improvisation reveals human agency because through instrumentation, singing, stylistic nuances, audience participation and/or venue individuals transform perceived or imagined woefulness into hopefulness. Studying the blues and its cultural legacy is significant in identifying the mechanisms by which individuals and ultimately entire communities sustain themselves. The literature that uses the blues as an aesthetic guide demonstrates variety of experience, human agency, and an individual crafting of identity in relation to group identity.;Albert Murray\u27s Scooter series, Train Whistle Guitar (1974), The Spyglass Tree (1991) and The Seven League Boots (1995), lends insight into the ways in which the blues contributes to the writing of fiction. Initially set in the 1920s and 30s Jim Crow U.S. South, the series follows Scooter through maturity into the 1960s. Scooter is reared in the blues tradition; its history is his life. Music abounds, living conditions are harsh but his community exudes vitality that parallels the music. The blues is intrinsically linked with heroic activity because it demonstrates the ways in which personal agency transforms actual or perceived limitations.;In Murray\u27s blues-based series, a modeling of jazz is the logical outcome of Scooter\u27s characterization because jazz resonates with ingenuity and variety while being rooted in African American culture. This study analyzes Scooter\u27s maturity as it parallels the development of the blues through the country blues (Train Whistle Guitar), classic blues to jazz during Scooter\u27s college years (The Spyglass Tree), and the smoothness of style consistent with swing-style jazz during Scooter\u27s mature adulthood (The Seven League Boots). Scooter\u27s characterization will be considered in conjunction with Thomas Malory\u27s, Arthur in Le Morte D\u27Arthur (1485); Ralph Ellison\u27s protagonist in Invisible Man (1952); and Richard Wright\u27s Bigger Thomas in Native Son (1940)

Putting the Video Back in Video Games: Opportunities and Challenges for Visual Studies Approaches to Video Game Analysis

I argue for the application of visual studies in video game analysis. This approach presents opportunities for the intersectional analysis of video game visuals as games are brought into dialogue with other visual media like film and painting. This approach also presents challenges due to ontological distinctions between different media as well as due to academic divisions regarding the study of different art and media objects. Despite the challenges presented, a visual studies approach is particularly useful as a critical window into contemporary visual culture at large. I outline the fields of game studies and visual studies, marking their distinctions as well as the areas in which they overlap. I provide examples of visual studies approaches to video game analysis through an emphasis on the visual characteristics of video games. As visual studies is generally considered an interdisciplinary endeavor, I contextualize my analyses through comparisons with other visual media, in particular finding intersections with art history and film studies. Specifically, I argue that perspective is an integral visual trait of many video games, relating the use of linear perspective and isometric perspective, used in some genres of games, with the development of perspective in painting. I examine various cinematic techniques used in video games and discuss their ideological potency. I also cover ways in which video games subvert conventional norms, such as through self-reflexivity, to open up novel avenues for visual expression

Data management and Data Pipelines: An empirical investigation in the embedded systems domain

Context: Companies are increasingly collecting data from all possible sources to extract insights that help in data-driven decision-making. Increased data volume, variety, and velocity and the impact of poor quality data on the development of data products are leading companies to look for an improved data management approach that can accelerate the development of high-quality data products. Further, AI is being applied in a growing number of fields, and thus it is evolving as a horizontal technology. Consequently, AI components are increasingly been integrated into embedded systems along with electronics and software. We refer to these systems as AI-enhanced embedded systems. Given the strong dependence of AI on data, this expansion also creates a new space for applying data management techniques. Objective: The overall goal of this thesis is to empirically identify the data management challenges encountered during the development and maintenance of AI-enhanced embedded systems, propose an improved data management approach and empirically validate the proposed approach.Method: To achieve the goal, we conducted this research in close collaboration with Software Center companies using a combination of different empirical research methods: case studies, literature reviews, and action research.Results and conclusions: This research provides five main results. First, it identifies key data management challenges specific to Deep Learning models developed at embedded system companies. Second, it examines the practices such as DataOps and data pipelines that help to address data management challenges. We observed that DataOps is the best data management practice that improves the data quality and reduces the time tdevelop data products. The data pipeline is the critical component of DataOps that manages the data life cycle activities. The study also provides the potential faults at each step of the data pipeline and the corresponding mitigation strategies. Finally, the data pipeline model is realized in a small piece of data pipeline and calculated the percentage of saved data dumps through the implementation.Future work: As future work, we plan to realize the conceptual data pipeline model so that companies can build customized robust data pipelines. We also plan to analyze the impact and value of data pipelines in cross-domain AI systems and data applications. We also plan to develop AI-based fault detection and mitigation system suitable for data pipelines

Internet of Things Applications - From Research and Innovation to Market Deployment

The book aims to provide a broad overview of various topics of Internet of Things from the research, innovation and development priorities to enabling technologies, nanoelectronics, cyber physical systems, architecture, interoperability and industrial applications. It is intended to be a standalone book in a series that covers the Internet of Things activities of the IERC – Internet of Things European Research Cluster from technology to international cooperation and the global "state of play".The book builds on the ideas put forward by the European research Cluster on the Internet of Things Strategic Research Agenda and presents global views and state of the art results on the challenges facing the research, development and deployment of IoT at the global level. Internet of Things is creating a revolutionary new paradigm, with opportunities in every industry from Health Care, Pharmaceuticals, Food and Beverage, Agriculture, Computer, Electronics Telecommunications, Automotive, Aeronautics, Transportation Energy and Retail to apply the massive potential of the IoT to achieving real-world solutions. The beneficiaries will include as well semiconductor companies, device and product companies, infrastructure software companies, application software companies, consulting companies, telecommunication and cloud service providers. IoT will create new revenues annually for these stakeholders, and potentially create substantial market share shakeups due to increased technology competition. The IoT will fuel technology innovation by creating the means for machines to communicate many different types of information with one another while contributing in the increased value of information created by the number of interconnections among things and the transformation of the processed information into knowledge shared into the Internet of Everything. The success of IoT depends strongly on enabling technology development, market acceptance and standardization, which provides interoperability, compatibility, reliability, and effective operations on a global scale. The connected devices are part of ecosystems connecting people, processes, data, and things which are communicating in the cloud using the increased storage and computing power and pushing for standardization of communication and metadata. In this context security, privacy, safety, trust have to be address by the product manufacturers through the life cycle of their products from design to the support processes. The IoT developments address the whole IoT spectrum - from devices at the edge to cloud and datacentres on the backend and everything in between, through ecosystems are created by industry, research and application stakeholders that enable real-world use cases to accelerate the Internet of Things and establish open interoperability standards and common architectures for IoT solutions. Enabling technologies such as nanoelectronics, sensors/actuators, cyber-physical systems, intelligent device management, smart gateways, telematics, smart network infrastructure, cloud computing and software technologies will create new products, new services, new interfaces by creating smart environments and smart spaces with applications ranging from Smart Cities, smart transport, buildings, energy, grid, to smart health and life. Technical topics discussed in the book include: • Introduction• Internet of Things Strategic Research and Innovation Agenda• Internet of Things in the industrial context: Time for deployment.• Integration of heterogeneous smart objects, applications and services• Evolution from device to semantic and business interoperability• Software define and virtualization of network resources• Innovation through interoperability and standardisation when everything is connected anytime at anyplace• Dynamic context-aware scalable and trust-based IoT Security, Privacy framework• Federated Cloud service management and the Internet of Things• Internet of Things Application

The Playful Citizen

This edited volume collects current research by academics and practitioners on playful citizen participation through digital media technologies

An Investigation on Benefit-Cost Analysis of Greenhouse Structures in Antalya

Significant population increase across the world, loss of cultivable land and increasing demand for food put pressure on agriculture. To meet the demand, greenhouses are built, which are, light structures with transparent cladding material in order to provide controlled microclimatic environment proper for plant production. Conceptually, greenhouses are similar with manufacturing buildings where a controlled environment for manufacturing and production have been provided and proper spaces for standardized production processes have been enabled. Parallel with the trends in the world, particularly in southern regions, greenhouse structures have been increasingly constructed and operated in Turkey. A significant number of greenhouses are located at Antalya. The satellite images demonstrated that for over last three decades, there has been a continuous invasion of greenhouses on all cultivable land. There are various researches and attempts for the improvement of greenhouse design and for increasing food production by decreasing required energy consumption. However, the majority of greenhouses in Turkey are very rudimentary structures where capital required for investment is low, but maintenance requirements are high when compared with new generation greenhouse structures. In this research paper, life-long capital requirements for construction and operation of greenhouse buildings in Antalya has been investigated by using benefit-cost analysis study

Knowledge Capturing in Design Briefing Process for Requirement Elicitation and Validation

Knowledge capturing and reusing are major processes of knowledge management that deal with the elicitation of valuable knowledge via some techniques and methods for use in actual and further studies, projects, services, or products. The construction industry, as well, adopts and uses some of these concepts to improve various construction processes and stages. From pre-design to building delivery knowledge management principles and briefing frameworks have been implemented across project stakeholders: client, design teams, construction teams, consultants, and facility management teams. At pre-design and design stages, understanding the client’s needs and users’ knowledge are crucial for identifying and articulating the expected requirements and objectives. Due to underperforming results and missed goals and objectives, many projects finish with highly dissatisfied clients and loss of contracts for some organizations. Knowledge capturing has beneficial effects via its principles and methods on requirement elicitation and validation at the briefing stage between user, client and designer. This paper presents the importance and usage of knowledge capturing and reusing in briefing process at pre-design and design stages especially the involvement of client and user, and explores the techniques and technologies that are usable in briefing process for requirement elicitation