1,536 research outputs found
Metodología de Diseño Conceptual de Sistemas Automatizados para Ambientes Educativos y de Servicios Tecnológicos
(Eng) This article shows the results of an applied investigation aimed to establish a general design methodology for
the modernization of automated systems oriented to modernization of physical and technological infrastructure
of the “Servicio Nacional de Aprendizaje” (SENA) in Colombia, with systems, equipment and applications
oriented to sustainability, efficiency and energy savings. The objective of this work is to "Propose a method
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ology for the conceptual design of automated building systems". The methodology was applied to the design
of the automated system of the Technological Services Laboratory (LST) of the Center for Electricity
and Industrial Automation (CEAI)- SENA and its implementation constitutes a reference model for the
other SENA training centers to apply in order to improve the conditions of safety, comfort and energy
management in their facilities.(Spa) Este artículo es uno de los resultados de una investigación aplicada, realizada con el propósito de establecer una
metodología general de diseño de sistemas automatizados orientados a la modernización de la infraestructura
física y tecnológica del Servicio Nacional de Aprendizaje (SENA) en Colombia, con sistemas, equipos y aplica
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ciones encaminadas a la sostenibilidad, la eficiencia y el ahorro. El reporte tiene como objetivo “Proponer una
metodología de diseño conceptual de sistemas automatizados de edificaciones”. La metodología propuesta fue
aplicada al diseño del sistema automatizado del Laboratorio de Servicios Tecnológicos (LST) del Centro de Elec
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tricidad y Automatización Industrial CEAI – SENA y su implementación constituye en un modelo de referencia
para que los demás centros de formación del SENA la apliquen con el fin de mejorar las condiciones de seguridad,
confort y gestión energética en sus instalaciones
To Heck With Ethics: Thinking About Public Issues With a Framework for CS Students
This paper proposes that the ethics class in the CS curriculum incorporate the Lawrence Lessig model of regulation as an analytical tool for social issues. Lessig’s use of the notion of architecture, the rules and boundaries of the sometimes artificial world within which social issues play out, is particularly resonant with computing professionals. The CS curriculum guidelines include only ethical frameworks as the tool for our students to engage with societal issues. The regulation framework shows how the market, law, social norms, and architecture can all be applied toward understanding social issues
To Heck With Ethics: Thinking About Public Issues With a Framework for CS Students
This paper proposes that the ethics class in the CS curriculum incorporate the Lawrence Lessig model of regulation as an analytical tool for social issues. Lessig’s use of the notion of architecture, the rules and boundaries of the sometimes artificial world within which social issues play out, is particularly resonant with computing professionals. The CS curriculum guidelines include only ethical frameworks as the tool for our students to engage with societal issues. The regulation framework shows how the market, law, social norms, and architecture can all be applied toward understanding social issues
Next Generation Internet of Things – Distributed Intelligence at the Edge and Human-Machine Interactions
This book provides an overview of the next generation Internet of Things (IoT), ranging from research, innovation, development priorities, to enabling technologies in a global context. It is intended as a standalone in a series covering the activities of the Internet of Things European Research Cluster (IERC), including research, technological innovation, validation, and deployment.The following chapters build on the ideas put forward by the European Research Cluster, the IoT European Platform Initiative (IoT–EPI), the IoT European Large-Scale Pilots Programme and the IoT European Security and Privacy Projects, presenting global views and state-of-the-art results regarding the next generation of IoT research, innovation, development, and deployment.The IoT and Industrial Internet of Things (IIoT) are evolving towards the next generation of Tactile IoT/IIoT, bringing together hyperconnectivity (5G and beyond), edge computing, Distributed Ledger Technologies (DLTs), virtual/ andaugmented reality (VR/AR), and artificial intelligence (AI) transformation.Following the wider adoption of consumer IoT, the next generation of IoT/IIoT innovation for business is driven by industries, addressing interoperability issues and providing new end-to-end security solutions to face continuous treats.The advances of AI technology in vision, speech recognition, natural language processing and dialog are enabling the development of end-to-end intelligent systems encapsulating multiple technologies, delivering services in real-time using limited resources. These developments are focusing on designing and delivering embedded and hierarchical AI solutions in IoT/IIoT, edge computing, using distributed architectures, DLTs platforms and distributed end-to-end security, which provide real-time decisions using less data and computational resources, while accessing each type of resource in a way that enhances the accuracy and performance of models in the various IoT/IIoT applications.The convergence and combination of IoT, AI and other related technologies to derive insights, decisions and revenue from sensor data provide new business models and sources of monetization. Meanwhile, scalable, IoT-enabled applications have become part of larger business objectives, enabling digital transformation with a focus on new services and applications.Serving the next generation of Tactile IoT/IIoT real-time use cases over 5G and Network Slicing technology is essential for consumer and industrial applications and support reducing operational costs, increasing efficiency and leveraging additional capabilities for real-time autonomous systems.New IoT distributed architectures, combined with system-level architectures for edge/fog computing, are evolving IoT platforms, including AI and DLTs, with embedded intelligence into the hyperconnectivity infrastructure.The next generation of IoT/IIoT technologies are highly transformational, enabling innovation at scale, and autonomous decision-making in various application domains such as healthcare, smart homes, smart buildings, smart cities, energy, agriculture, transportation and autonomous vehicles, the military, logistics and supply chain, retail and wholesale, manufacturing, mining and oil and gas
Next Generation Internet of Things – Distributed Intelligence at the Edge and Human-Machine Interactions
This book provides an overview of the next generation Internet of Things (IoT), ranging from research, innovation, development priorities, to enabling technologies in a global context. It is intended as a standalone in a series covering the activities of the Internet of Things European Research Cluster (IERC), including research, technological innovation, validation, and deployment.The following chapters build on the ideas put forward by the European Research Cluster, the IoT European Platform Initiative (IoT–EPI), the IoT European Large-Scale Pilots Programme and the IoT European Security and Privacy Projects, presenting global views and state-of-the-art results regarding the next generation of IoT research, innovation, development, and deployment.The IoT and Industrial Internet of Things (IIoT) are evolving towards the next generation of Tactile IoT/IIoT, bringing together hyperconnectivity (5G and beyond), edge computing, Distributed Ledger Technologies (DLTs), virtual/ andaugmented reality (VR/AR), and artificial intelligence (AI) transformation.Following the wider adoption of consumer IoT, the next generation of IoT/IIoT innovation for business is driven by industries, addressing interoperability issues and providing new end-to-end security solutions to face continuous treats.The advances of AI technology in vision, speech recognition, natural language processing and dialog are enabling the development of end-to-end intelligent systems encapsulating multiple technologies, delivering services in real-time using limited resources. These developments are focusing on designing and delivering embedded and hierarchical AI solutions in IoT/IIoT, edge computing, using distributed architectures, DLTs platforms and distributed end-to-end security, which provide real-time decisions using less data and computational resources, while accessing each type of resource in a way that enhances the accuracy and performance of models in the various IoT/IIoT applications.The convergence and combination of IoT, AI and other related technologies to derive insights, decisions and revenue from sensor data provide new business models and sources of monetization. Meanwhile, scalable, IoT-enabled applications have become part of larger business objectives, enabling digital transformation with a focus on new services and applications.Serving the next generation of Tactile IoT/IIoT real-time use cases over 5G and Network Slicing technology is essential for consumer and industrial applications and support reducing operational costs, increasing efficiency and leveraging additional capabilities for real-time autonomous systems.New IoT distributed architectures, combined with system-level architectures for edge/fog computing, are evolving IoT platforms, including AI and DLTs, with embedded intelligence into the hyperconnectivity infrastructure.The next generation of IoT/IIoT technologies are highly transformational, enabling innovation at scale, and autonomous decision-making in various application domains such as healthcare, smart homes, smart buildings, smart cities, energy, agriculture, transportation and autonomous vehicles, the military, logistics and supply chain, retail and wholesale, manufacturing, mining and oil and gas
Serverless computing
Serverless computing has emerged as a new mindset when it comes to cloud computing,
promising efficient resource utilization, automatic scaling, and cost optimization for a wide
range of applications. This thesis explores the adoption, performance, and cost considera tions of deploying applications that use intend to use serverless functions, one of the leading
Serverless types.
This thesis starts by providing an overview of Serverless computing, including its key advan tages and disadvantages and the rising adoption it has gained throughout the recent years.
It presents a comprehensive comparison of various Serverless platforms and discusses the
unique features offered by each.
After this context phase, this thesis presents a design section composed by a migration guide
that allows developers to transition from a traditional application to one that takes advan tage of serverless benefits. The guide outlines best practices and step-by-step instructions,
facilitating the adoption of Serverless computing in real-world scenarios.
Using the previously created guide, the next section carries out a practical use case: the mi gration of complex computational logic from a traditional Java application to AWS Lambda
functions. Performance evaluations are conducted, considering metrics such as the execution
duration and the amount of concurrent executions.
These findings are then evaluated next to the costs associated with deploying and running
Java applications in a virtual machine or with a Serverless architecture.
While Serverless computing is quite promising, networking issues often arise in practice,
affecting the overall efficiency of Serverless applications. This thesis addresses these chal lenges, identifying the installation and migration difficulties, how to overcome them, and
what are the expected limitations, while proposing potential solutions.
In summary, this thesis offers valuable insights into the adoption, performance, and cost opti mization of Serverless computing for Java applications. It provides a roadmap for developers
looking to take advantage of the benefits of Serverless computing in their projects
Visualization techniques to aid in the analysis of multispectral astrophysical data sets
The goal of this project was to support the scientific analysis of multi-spectral astrophysical data by means of scientific visualization. Scientific visualization offers its greatest value if it is not used as a method separate or alternative to other data analysis methods but rather in addition to these methods. Together with quantitative analysis of data, such as offered by statistical analysis, image or signal processing, visualization attempts to explore all information inherent in astrophysical data in the most effective way. Data visualization is one aspect of data analysis. Our taxonomy as developed in Section 2 includes identification and access to existing information, preprocessing and quantitative analysis of data, visual representation and the user interface as major components to the software environment of astrophysical data analysis. In pursuing our goal to provide methods and tools for scientific visualization of multi-spectral astrophysical data, we therefore looked at scientific data analysis as one whole process, adding visualization tools to an already existing environment and integrating the various components that define a scientific data analysis environment. As long as the software development process of each component is separate from all other components, users of data analysis software are constantly interrupted in their scientific work in order to convert from one data format to another, or to move from one storage medium to another, or to switch from one user interface to another. We also took an in-depth look at scientific visualization and its underlying concepts, current visualization systems, their contributions and their shortcomings. The role of data visualization is to stimulate mental processes different from quantitative data analysis, such as the perception of spatial relationships or the discovery of patterns or anomalies while browsing through large data sets. Visualization often leads to an intuitive understanding of the meaning of data values and their relationships by sacrificing accuracy in interpreting the data values. In order to be accurate in the interpretation, data values need to be measured, computed on, and compared to theoretical or empirical models (quantitative analysis). If visualization software hampers quantitative analysis (which happens with some commercial visualization products), its use is greatly diminished for astrophysical data analysis. The software system STAR (Scientific Toolkit for Astrophysical Research) was developed as a prototype during the course of the project to better understand the pragmatic concerns raised in the project. STAR led to a better understanding on the importance of collaboration between astrophysicists and computer scientists. Twenty-one examples of the use of visualization for astrophysical data are included with this report. Sixteen publications related to efforts performed during or initiated through work on this project are listed at the end of this report
Computer-Mediated Communication
This book is an anthology of present research trends in Computer-mediated Communications (CMC) from the point of view of different application scenarios. Four different scenarios are considered: telecommunication networks, smart health, education, and human-computer interaction. The possibilities of interaction introduced by CMC provide a powerful environment for collaborative human-to-human, computer-mediated interaction across the globe
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