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P saber instruimento de evaluacion actividad 31
Este documento presenta un instrumento de evaluación con 11 preguntas sobre la gestión integral de residuos sólidos. La evaluación busca medir el conocimiento adquirido en una secuencia pedagógica sobre este tema. Las preguntas abarcan conceptos como las 3R (reducir, reutilizar y reciclar), códigos de colores para la separación de residuos, y actividades matemáticas relacionadas con datos de basura generada en un colegio.
Data marketing
Big data refers to the ever-increasing volume, velocity, variety, variability and complexity of information. For marketing organizations, big data is the fundamental consequence of the new marketing landscape, born from the digital world we now live in.
En 2012, 90 % des déchets industriels triés sont valorisés
"En 2012, les établissements de 10 salariés ou plus de l'industrie manufacturière génèrent 20 millions de tonnes de déchets non dangereux non minéraux, dont 11 millions de tonnes de déchets banals et 9 millions de tonnes de boues et de déchets organiques.
Plus de 80 % des déchets banals sont triés. Dès qu'un déchet banal est trié, il est directement recyclé ou valorisé dans 90 % des cas. A contrario, à peine 30 % des déchets en mélange sont valorisés. Entre 2008 et 2012, les déchets banals de l'industrie manufacturière ont diminué de 30 %, sous l'effet notamment de la valorisation du bois énergie et de la baisse de la production."
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P saber instruimento de evaluacion actividad 31
Este documento presenta un instrumento de evaluación con 11 preguntas sobre la gestión integral de residuos sólidos. La evaluación busca medir el conocimiento adquirido en una secuencia pedagógica sobre este tema. Las preguntas abarcan conceptos como las 3R (reducir, reutilizar y reciclar), códigos de colores para la separación de residuos, y actividades matemáticas relacionadas con datos de basura generada en un colegio.
Data marketing
Big data refers to the ever-increasing volume, velocity, variety, variability and complexity of information. For marketing organizations, big data is the fundamental consequence of the new marketing landscape, born from the digital world we now live in.
En 2012, 90 % des déchets industriels triés sont valorisés
"En 2012, les établissements de 10 salariés ou plus de l'industrie manufacturière génèrent 20 millions de tonnes de déchets non dangereux non minéraux, dont 11 millions de tonnes de déchets banals et 9 millions de tonnes de boues et de déchets organiques.
Plus de 80 % des déchets banals sont triés. Dès qu'un déchet banal est trié, il est directement recyclé ou valorisé dans 90 % des cas. A contrario, à peine 30 % des déchets en mélange sont valorisés. Entre 2008 et 2012, les déchets banals de l'industrie manufacturière ont diminué de 30 %, sous l'effet notamment de la valorisation du bois énergie et de la baisse de la production."
Data Protection Act
This document summarizes a data protection training session that covered key topics related to UK and EU data protection laws and regulations. The training objectives were to raise awareness and develop internal expertise on topics like the Data Protection Act of 1998, data protection principles, rights of individuals, exemptions, offences, and associated legislation. Key definitions were provided for terms like personal data, sensitive personal data, data subjects, data controllers, and data processors.
P&M307 Building intelligent websites with SharePoint 2013
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2. Cnnecst-Why the use of FPGA?
Convolutional neural networks are well-suited for hardware acceleration through FPGAs. FPGAs allow reconfigurability to implement different CNN models and select the optimal one directly in hardware. This reconfigurability explores a large design space to find the model that achieves the best trade-off between performance and power consumption, quantified as GOPs/Watt.
Rapport Stage Ouvrier - Application J2EE - Haroun SMIDA
Rapport Stage Ouvrier - Application J2EE - Haroun SMIDA
Sujet : Réalisation d'une application J2EE - Gestion des compétences.
Elaboré par : Haroun SMIDA
Encadré par : Chokri MHADHBI
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Balaji Group is a private limited company founded in 1976 and headquartered in Rajkot, Gujarat, India. It manufactures and distributes potato chips and other snacks under brands like Magic Masala. Starting as a small business, it has grown to a Rs. 1000 crore company with 1500 employees. The company was started in 1972 by the Virani brothers who invested in a wafer business and saw success distributing in Rajkot. It has since expanded to large automatic plants in Aji Vasad and Valsad, with a 2,200 kg per hour capacity, making it one of Asia's largest chip makers.
"Enabling Ubiquitous Visual Intelligence Through Deep Learning," a Keynote Pr...
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For the full video of this presentation, please visit:
http://www.embedded-vision.com/platinum-members/embedded-vision-alliance/embedded-vision-training/videos/pages/may-2015-embedded-vision-summit-baidu
For more information about embedded vision, please visit:
http://www.embedded-vision.com
Dr. Ren Wu, former distinguished scientist at Baidu's Institute of Deep Learning (IDL), presents the keynote talk, "Enabling Ubiquitous Visual Intelligence Through Deep Learning," at the May 2015 Embedded Vision Summit.
Deep learning techniques have been making headlines lately in computer vision research. Using techniques inspired by the human brain, deep learning employs massive replication of simple algorithms which learn to distinguish objects through training on vast numbers of examples. Neural networks trained in this way are gaining the ability to recognize objects as accurately as humans.
Some experts believe that deep learning will transform the field of vision, enabling the widespread deployment of visual intelligence in many types of systems and applications. But there are many practical problems to be solved before this goal can be reached. For example, how can we create the massive sets of real-world images required to train neural networks? And given their massive computational requirements, how can we deploy neural networks into applications like mobile and wearable devices with tight cost and power consumption constraints?
In this talk, Ren shares an insider’s perspective on these and other critical questions related to the practical use of neural networks for vision, based on the pioneering work being conducted by his former team at Baidu.
Note 1: Regarding the ImageNet results included in this presentation, the organizers of the ImageNet Large Scale Visual Recognition Challenge (ILSVRC) have said: “Because of the violation of the regulations of the test server, these results may not be directly comparable to results obtained and reported by other teams.” (http://www.image-net.org/challenges/LSVRC/announcement-June-2-2015)
Note 2: The presenter, Ren Wu, has told the Embedded Vision Alliance that “There was some ambiguity with the rules. According to the ‘official’ interpretation of the rules, there should be no more than 52 submissions within a half year. For us, we achieved the reported results after 200 tests total within a half year. We believe there is no way to obtain any measurable gains, nor did we try to obtain any gains, from an 'extra' hundred tests as our networks have billions of parameters and are trained by tens of billions of training samples.”Lte kpi dt guide & measure method.
This document provides guidance on measuring LTE KPIs through drive tests and point tests. It outlines the tools, software, and test procedures needed to measure metrics like coverage probability, throughput, latency, and jitter. Drive tests should measure KPIs along roads to test coverage, while point tests evaluate specific metrics like edge throughput and sector throughput at selected locations. The results are used to evaluate whether KPI targets are met.
Layer 3 messages
This document describes several 2G and 3G layer 3 messages including their purpose and key information elements. For 2G, it summarizes Sys info types 1-6 which broadcast system information to mobile stations in idle and dedicated modes, including things like channel allocation and cell parameters. It also describes messages like Measurement Report, Immediate Assignment, and Handover Command that are used for handover and connection management. For 3G, it lists 21 different message types like Measurement Report and Active Set Update used for mobility management and connection control.
Fracturas de Salter & Harris
El documento describe las fracturas de Salter-Harris, que ocurren a través de la placa de crecimiento en niños. Estas fracturas se clasifican en 5 tipos según la participación de la epífisis, metafisis y placa de crecimiento. Las fracturas de los tipos 3 y 4 tienen un peor pronóstico debido a la interrupción de las zonas de crecimiento activo. La radiografía, tomografía computarizada y resonancia magnética se utilizan para diagnosticar estas fracturas y evaluar complicaciones como el cierre prematuro de la pl
Web-conférence | Diagnostic et Estimations des Gains
L'objectif de cette web-conférence est de souligner l'importance de lancer une démarche Lean comme un projet stratégique dont le premier jalon est le diagnostic de performance.
Ce diagnostic est la brique de base indispensable pour pouvoir partager une situation actuelle (de manière factuelle) et se fixer des objectifs de progrès et de performance.
Retrouvez le replay de cette web-conférence sur notre chaîne Youtube https://youtu.be/Vsg-KIiOwIU
Dessine moi une obeya kanban!
- Avoir une vision globale du management visuel Lean appliqué au Kanban.
- Découvrir les mêmes outils que l’agilité avec un point de vue différent.
- Avoir une vue du Lean dans la pratique au travers du Kanban.
TCILatinAmerica16 Innovación, Proceso Sistémico Emergente de Decisión
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Umts Kpi
The document discusses key performance indicators (KPIs) for 3G radio networks. It provides an overview of important KPIs such as call setup success rate, call drop rate, and data throughput. It describes methods for measuring KPIs including drive testing, stationary testing, and statistical analysis. The document also discusses how to optimize radio networks by adjusting parameters and resolving issues to improve KPIs like accessibility, retainability, and service integrity. Case studies demonstrate analyzing and troubleshooting KPI issues.
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Data Protection Act
This document summarizes a data protection training session that covered key topics related to UK and EU data protection laws and regulations. The training objectives were to raise awareness and develop internal expertise on topics like the Data Protection Act of 1998, data protection principles, rights of individuals, exemptions, offences, and associated legislation. Key definitions were provided for terms like personal data, sensitive personal data, data subjects, data controllers, and data processors.
P&M307 Building intelligent websites with SharePoint 2013
SharePoint 2013 supports us with building intelligent websites: websites that adapt their experience to different devices but also their content to visitors. In this session we will discuss what intelligent websites are and how we can leverage new capabilities of SharePoint 2013 to build them.
2. Cnnecst-Why the use of FPGA?
Convolutional neural networks are well-suited for hardware acceleration through FPGAs. FPGAs allow reconfigurability to implement different CNN models and select the optimal one directly in hardware. This reconfigurability explores a large design space to find the model that achieves the best trade-off between performance and power consumption, quantified as GOPs/Watt.
Rapport Stage Ouvrier - Application J2EE - Haroun SMIDA
Rapport Stage Ouvrier - Application J2EE - Haroun SMIDA
Sujet : Réalisation d'une application J2EE - Gestion des compétences.
Elaboré par : Haroun SMIDA
Encadré par : Chokri MHADHBI
Entreprise d'acceuil : El-Athir Services
Ecole Nationale Supérieure des Ingénieurs de Tunis
Smart EMC
11 Digital Technologies with Industry 4.0 - transforming Engineering-Manufacturing-Construction industry
Balaji profile
Balaji Group is a private limited company founded in 1976 and headquartered in Rajkot, Gujarat, India. It manufactures and distributes potato chips and other snacks under brands like Magic Masala. Starting as a small business, it has grown to a Rs. 1000 crore company with 1500 employees. The company was started in 1972 by the Virani brothers who invested in a wafer business and saw success distributing in Rajkot. It has since expanded to large automatic plants in Aji Vasad and Valsad, with a 2,200 kg per hour capacity, making it one of Asia's largest chip makers.
"Enabling Ubiquitous Visual Intelligence Through Deep Learning," a Keynote Pr...
"Enabling Ubiquitous Visual Intelligence Through Deep Learning," a Keynote Pr...Edge AI and Vision Alliance
For the full video of this presentation, please visit:
http://www.embedded-vision.com/platinum-members/embedded-vision-alliance/embedded-vision-training/videos/pages/may-2015-embedded-vision-summit-baidu
For more information about embedded vision, please visit:
http://www.embedded-vision.com
Dr. Ren Wu, former distinguished scientist at Baidu's Institute of Deep Learning (IDL), presents the keynote talk, "Enabling Ubiquitous Visual Intelligence Through Deep Learning," at the May 2015 Embedded Vision Summit.
Deep learning techniques have been making headlines lately in computer vision research. Using techniques inspired by the human brain, deep learning employs massive replication of simple algorithms which learn to distinguish objects through training on vast numbers of examples. Neural networks trained in this way are gaining the ability to recognize objects as accurately as humans.
Some experts believe that deep learning will transform the field of vision, enabling the widespread deployment of visual intelligence in many types of systems and applications. But there are many practical problems to be solved before this goal can be reached. For example, how can we create the massive sets of real-world images required to train neural networks? And given their massive computational requirements, how can we deploy neural networks into applications like mobile and wearable devices with tight cost and power consumption constraints?
In this talk, Ren shares an insider’s perspective on these and other critical questions related to the practical use of neural networks for vision, based on the pioneering work being conducted by his former team at Baidu.
Note 1: Regarding the ImageNet results included in this presentation, the organizers of the ImageNet Large Scale Visual Recognition Challenge (ILSVRC) have said: “Because of the violation of the regulations of the test server, these results may not be directly comparable to results obtained and reported by other teams.” (http://www.image-net.org/challenges/LSVRC/announcement-June-2-2015)
Note 2: The presenter, Ren Wu, has told the Embedded Vision Alliance that “There was some ambiguity with the rules. According to the ‘official’ interpretation of the rules, there should be no more than 52 submissions within a half year. For us, we achieved the reported results after 200 tests total within a half year. We believe there is no way to obtain any measurable gains, nor did we try to obtain any gains, from an 'extra' hundred tests as our networks have billions of parameters and are trained by tens of billions of training samples.”Lte kpi dt guide & measure method.
This document provides guidance on measuring LTE KPIs through drive tests and point tests. It outlines the tools, software, and test procedures needed to measure metrics like coverage probability, throughput, latency, and jitter. Drive tests should measure KPIs along roads to test coverage, while point tests evaluate specific metrics like edge throughput and sector throughput at selected locations. The results are used to evaluate whether KPI targets are met.
Layer 3 messages
This document describes several 2G and 3G layer 3 messages including their purpose and key information elements. For 2G, it summarizes Sys info types 1-6 which broadcast system information to mobile stations in idle and dedicated modes, including things like channel allocation and cell parameters. It also describes messages like Measurement Report, Immediate Assignment, and Handover Command that are used for handover and connection management. For 3G, it lists 21 different message types like Measurement Report and Active Set Update used for mobility management and connection control.
Fracturas de Salter & Harris
El documento describe las fracturas de Salter-Harris, que ocurren a través de la placa de crecimiento en niños. Estas fracturas se clasifican en 5 tipos según la participación de la epífisis, metafisis y placa de crecimiento. Las fracturas de los tipos 3 y 4 tienen un peor pronóstico debido a la interrupción de las zonas de crecimiento activo. La radiografía, tomografía computarizada y resonancia magnética se utilizan para diagnosticar estas fracturas y evaluar complicaciones como el cierre prematuro de la pl
Web-conférence | Diagnostic et Estimations des Gains
L'objectif de cette web-conférence est de souligner l'importance de lancer une démarche Lean comme un projet stratégique dont le premier jalon est le diagnostic de performance.
Ce diagnostic est la brique de base indispensable pour pouvoir partager une situation actuelle (de manière factuelle) et se fixer des objectifs de progrès et de performance.
Retrouvez le replay de cette web-conférence sur notre chaîne Youtube https://youtu.be/Vsg-KIiOwIU
Dessine moi une obeya kanban!
- Avoir une vision globale du management visuel Lean appliqué au Kanban.
- Découvrir les mêmes outils que l’agilité avec un point de vue différent.
- Avoir une vue du Lean dans la pratique au travers du Kanban.
TCILatinAmerica16 Innovación, Proceso Sistémico Emergente de Decisión
By Giovanni Arturo López, presented during the 9th TCI Latin American Cluster Conference, Temuco, Chile, 14-17 June 2016
Umts Kpi
The document discusses key performance indicators (KPIs) for 3G radio networks. It provides an overview of important KPIs such as call setup success rate, call drop rate, and data throughput. It describes methods for measuring KPIs including drive testing, stationary testing, and statistical analysis. The document also discusses how to optimize radio networks by adjusting parameters and resolving issues to improve KPIs like accessibility, retainability, and service integrity. Case studies demonstrate analyzing and troubleshooting KPI issues.
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