Through creating a magazine, the author learned how to use various technologies including Blogger, InDesign, Survey Monkey, Photoshop, Slideshare, Prezi, Google, Safari, Google Chrome, and a MAC computer. They learned skills like embedding work, creating links, conducting research, gathering and interpreting survey results, manipulating images, using presentation tools, organizing files, taking high quality photos using lighting techniques, and editing photos in Photoshop.
This document proposes using machine learning and data mining to optimize resource allocation and energy consumption across multiple interconnected data centers. It aims to balance revenues, quality of service, and energy costs by predicting virtual machine behavior and automatically scheduling VMs across data centers. The model considers factors like response time, CPU usage, and memory usage to minimize costs while meeting service level agreements for quality of service. Future work could incorporate more cost factors, green energy usage, and online learning to adapt to changing conditions.
The document summarizes the experience of five European countries - Denmark, Portugal, Spain, Ireland, and Germany - in integrating high levels of wind power generation into their electric power systems. Denmark has among the highest wind power penetration levels in the world at times supplying over 25% of its electricity demand from wind. Success has been achieved through strong grid interconnectors, an active electricity market that incorporates wind power forecasting, and flexible generation. Future challenges include further integrating renewable energy and coordinating grid development across countries as wind penetration levels increase throughout Europe.
This document discusses data representation, data compression, and encryption. It begins by defining data representation and describing how computers store different types of data like numbers, text, graphics, and sound. It then discusses several data representation methods and formats like ASCII, EBCDIC, and ASN.1. The document also covers data compression techniques including lossless and lossy compression. Common audio, video, and image compression formats and their properties are described. Finally, the document provides an overview of encryption, describing the encryption and decryption process and some basic encryption concepts and techniques.
La Unión Europea ha acordado un embargo petrolero contra Rusia en respuesta a la invasión de Ucrania. El embargo prohibirá la mayoría de las importaciones de petróleo ruso a la UE y se implementará de manera gradual durante los próximos seis meses. Algunos países de la UE aún dependen en gran medida del petróleo ruso y buscarán exenciones al embargo.
El documento describe un taller de creatividad realizado para generar requerimientos para una nueva aplicación de base de datos de eventos. El taller utilizó técnicas como discusiones en grupo y desencadenantes de creatividad para producir 148 requerimientos. Algunas técnicas como los servicios y la información fueron más productivas que otras como las fortalezas y debilidades actuales. El taller también evaluó la calidad y satisfacción del cliente de los requerimientos generados. Las lecciones aprendidas incluyen que estas técnicas son más productivas que mé
This document summarizes a master's thesis on using Apache Spark for trend detection on multimedia big data collected from Instagram. The thesis implements an application that collects Instagram data using Spark Streaming and Kafka, preprocesses the data, applies topic modeling with LDA through MLlib to identify trending topics, and visualizes the results. Experiments analyzed hashtags and detected topics related to events like the 2014 World Cup from Instagram data. The thesis found Spark can efficiently process the data but Spark Streaming stability needs improvement and MLlib algorithms were limited for streaming at the time.
This document discusses cloud computing security, interoperability, and portability. It begins by explaining the different cloud service models (SaaS, PaaS, IaaS) and how security responsibilities are divided between providers and customers for each model. Next, it defines interoperability and portability, and categorizes them for applications, platforms, management, and publication/acquisition. Requirements and solutions for achieving interoperability and portability at each level are presented. Finally, it discusses approaches to improve interoperability and portability through open standards and abstraction layers, and describes the MODAClouds research project in this area.
Through creating a magazine, the author learned how to use various technologies including Blogger, InDesign, Survey Monkey, Photoshop, Slideshare, Prezi, Google, Safari, Google Chrome, and a MAC computer. They learned skills like embedding work, creating links, conducting research, gathering and interpreting survey results, manipulating images, using presentation tools, organizing files, taking high quality photos using lighting techniques, and editing photos in Photoshop.
This document proposes using machine learning and data mining to optimize resource allocation and energy consumption across multiple interconnected data centers. It aims to balance revenues, quality of service, and energy costs by predicting virtual machine behavior and automatically scheduling VMs across data centers. The model considers factors like response time, CPU usage, and memory usage to minimize costs while meeting service level agreements for quality of service. Future work could incorporate more cost factors, green energy usage, and online learning to adapt to changing conditions.
The document summarizes the experience of five European countries - Denmark, Portugal, Spain, Ireland, and Germany - in integrating high levels of wind power generation into their electric power systems. Denmark has among the highest wind power penetration levels in the world at times supplying over 25% of its electricity demand from wind. Success has been achieved through strong grid interconnectors, an active electricity market that incorporates wind power forecasting, and flexible generation. Future challenges include further integrating renewable energy and coordinating grid development across countries as wind penetration levels increase throughout Europe.
This document discusses data representation, data compression, and encryption. It begins by defining data representation and describing how computers store different types of data like numbers, text, graphics, and sound. It then discusses several data representation methods and formats like ASCII, EBCDIC, and ASN.1. The document also covers data compression techniques including lossless and lossy compression. Common audio, video, and image compression formats and their properties are described. Finally, the document provides an overview of encryption, describing the encryption and decryption process and some basic encryption concepts and techniques.
La Unión Europea ha acordado un embargo petrolero contra Rusia en respuesta a la invasión de Ucrania. El embargo prohibirá la mayoría de las importaciones de petróleo ruso a la UE y se implementará de manera gradual durante los próximos seis meses. Algunos países de la UE aún dependen en gran medida del petróleo ruso y buscarán exenciones al embargo.
El documento describe un taller de creatividad realizado para generar requerimientos para una nueva aplicación de base de datos de eventos. El taller utilizó técnicas como discusiones en grupo y desencadenantes de creatividad para producir 148 requerimientos. Algunas técnicas como los servicios y la información fueron más productivas que otras como las fortalezas y debilidades actuales. El taller también evaluó la calidad y satisfacción del cliente de los requerimientos generados. Las lecciones aprendidas incluyen que estas técnicas son más productivas que mé
This document summarizes a master's thesis on using Apache Spark for trend detection on multimedia big data collected from Instagram. The thesis implements an application that collects Instagram data using Spark Streaming and Kafka, preprocesses the data, applies topic modeling with LDA through MLlib to identify trending topics, and visualizes the results. Experiments analyzed hashtags and detected topics related to events like the 2014 World Cup from Instagram data. The thesis found Spark can efficiently process the data but Spark Streaming stability needs improvement and MLlib algorithms were limited for streaming at the time.
This document discusses cloud computing security, interoperability, and portability. It begins by explaining the different cloud service models (SaaS, PaaS, IaaS) and how security responsibilities are divided between providers and customers for each model. Next, it defines interoperability and portability, and categorizes them for applications, platforms, management, and publication/acquisition. Requirements and solutions for achieving interoperability and portability at each level are presented. Finally, it discusses approaches to improve interoperability and portability through open standards and abstraction layers, and describes the MODAClouds research project in this area.
This document summarizes research applying self-similarity constraints to Reynolds-averaged turbulence models for modeling Rayleigh–Taylor turbulent mixing. Key points include: developing a framework to derive self-similar solutions for turbulence model equations; verifying self-similar solutions in simulations; using expressions for the mixing layer growth parameter alpha to determine sensitivity to model coefficients and bounds on values. Ongoing work includes completing modeling of Richtmyer-Meshkov instabilities and incorporating additional constraints from Kelvin-Helmholtz instabilities.
Juan habla sobre su familia que incluye a su mamá y hermanos, también menciona sus primos. Sus intereses son el skateboarding y menciona a sus amigos Ber y Alit.
This document discusses common stereotypes and representations of different social classes, disabilities, ages, and regional identities in television drama. For social class, it describes stereotypes associated with the upper class, upper-middle class, middle class, lower-middle class, and lower class. For disability, it outlines six common stereotypes applied to people with disabilities. For age, it lists stereotypes associated with children, teenagers, people in their 20s-30s, middle aged people, and the elderly. Finally, it provides regional stereotypes for the Scottish, Welsh, Irish, English, and Londoners.
This document summarizes research applying self-similarity constraints to Reynolds-averaged turbulence models for modeling Rayleigh–Taylor turbulent mixing. Key points include: developing a framework to derive self-similar solutions for turbulence model equations; verifying self-similar solutions in simulations; using expressions for the mixing layer growth parameter alpha to determine sensitivity to model coefficients and bounds on values. Ongoing work includes completing modeling of Richtmyer-Meshkov instabilities and incorporating additional constraints from Kelvin-Helmholtz instabilities.
Juan habla sobre su familia que incluye a su mamá y hermanos, también menciona sus primos. Sus intereses son el skateboarding y menciona a sus amigos Ber y Alit.
This document discusses common stereotypes and representations of different social classes, disabilities, ages, and regional identities in television drama. For social class, it describes stereotypes associated with the upper class, upper-middle class, middle class, lower-middle class, and lower class. For disability, it outlines six common stereotypes applied to people with disabilities. For age, it lists stereotypes associated with children, teenagers, people in their 20s-30s, middle aged people, and the elderly. Finally, it provides regional stereotypes for the Scottish, Welsh, Irish, English, and Londoners.
1. Процес відбору журналів у
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