Talks by Carmelo Floridia, Senior Engineer (Data Processing) at BaxEnergy, at the Big Data for You event "Recommendation Systems: Talks & Workshop" (Catania, Feb. 25th, 2017).
Carmelo offers a panorama view of BaxEnergy activities, in particular about Solar power plants, on how they analyse power curves and on how they can provide a real-time monitoring service and forecasting.
Carmelo also describes the primary characteristics of Big Data and Machine Learning, and mention the Microsoft Azure Technology as the one currently used at Bax Energy.
Although one can't see this from the slides, Carmelo gave us a live demonstration of Human model learning (based on kinect)!
The document discusses the convergence of topology optimization and additive manufacturing. It describes how topology optimization originated in 1892 with Wolff's Law on bone adaptation and expanded with early research at the University of Michigan in the 1990s. Additive manufacturing also began gaining excitement in 1994. The combination of the two allows generating designs that were previously impossible to manufacture and opens opportunities to expand their usage. The synergy between topology optimization and additive manufacturing allows for easier application to designs, a wider range of materials, and appropriateness to more parts.
DMT at a glance: here we present the DMT GROUP, our history, corporate structure, attitude and key facts and figures as well as insights into the markets we serve.
Read about selected engineering, exploration, monitoring and consulting projects in the mining sector, civil engineering and infrastructure, oil and gas industry and plant and process engineering.
Plus we provide an overview of our main products and important innovation and research activities.
Dean Park, President of GE Oil & Gas Korea, discusses the strategic implications of the age of gas for Korea. He argues that gas will play a long-term role as a "destination fuel" to achieve a low-carbon economy rather than just a "bridge fuel". GE expects continued demand for gas and is developing innovative solutions across the gas value chain, from extraction to end use, to enable a more secure energy future. These solutions leverage predictive analytics, remote monitoring technologies, and collaboration to increase efficiency. Korea has opportunities to participate in major international gas projects that will require even greater technology and partnership.
Ampia panoramica sui sistemi di raccomandazione, tenuta dal professore Alfredo Pulvirenti dell'Universita' di Catania durante l'evento "Recommendation Systems: Talks & Workshop" organizzato da Big Data for You il 25 febbraio 2017.
Argomenti:
1. Cosa sono i sistemi di raccomandazione
2. Sistemi Content Based
3. Collaborative Filtering
4. Graph Based
5. Progetto scientifico: predizione di annotazioni su articoli di biomedicina
MIT Enterprise Forum of Cambridge Connected Things 2017 panel discussion on "IoT Analytics: Using Analytics to Generate High Value from IoT in the Real World"
The Impact of IoT on Cloud Computing, Big Data & AnalyticsSyam Madanapalli
IoT Applications are different from typical enterprise applications; and most of the companies are hijacking what the IoT is depending on the what products/solutions they offer. I put up my point of view on how the IoT impacts the traditional Cloud Computing and Big Data Analytics. The takeaway from this presentation is IoT requires realtime computing as the data moves from the physical world to the cyber world (Cloud) to take actions at spatiotemporal location.
This document provides an overview of Amazon Web Services storage options for big data and analytics workloads. It discusses Amazon S3, Amazon EBS volume types, use cases for different storage solutions, examples of customers optimizing storage, and a new feature called EBS Elastic Volumes that allows modifying the configuration of live EBS volumes non-disruptively.
The document discusses the convergence of topology optimization and additive manufacturing. It describes how topology optimization originated in 1892 with Wolff's Law on bone adaptation and expanded with early research at the University of Michigan in the 1990s. Additive manufacturing also began gaining excitement in 1994. The combination of the two allows generating designs that were previously impossible to manufacture and opens opportunities to expand their usage. The synergy between topology optimization and additive manufacturing allows for easier application to designs, a wider range of materials, and appropriateness to more parts.
DMT at a glance: here we present the DMT GROUP, our history, corporate structure, attitude and key facts and figures as well as insights into the markets we serve.
Read about selected engineering, exploration, monitoring and consulting projects in the mining sector, civil engineering and infrastructure, oil and gas industry and plant and process engineering.
Plus we provide an overview of our main products and important innovation and research activities.
Dean Park, President of GE Oil & Gas Korea, discusses the strategic implications of the age of gas for Korea. He argues that gas will play a long-term role as a "destination fuel" to achieve a low-carbon economy rather than just a "bridge fuel". GE expects continued demand for gas and is developing innovative solutions across the gas value chain, from extraction to end use, to enable a more secure energy future. These solutions leverage predictive analytics, remote monitoring technologies, and collaboration to increase efficiency. Korea has opportunities to participate in major international gas projects that will require even greater technology and partnership.
Ampia panoramica sui sistemi di raccomandazione, tenuta dal professore Alfredo Pulvirenti dell'Universita' di Catania durante l'evento "Recommendation Systems: Talks & Workshop" organizzato da Big Data for You il 25 febbraio 2017.
Argomenti:
1. Cosa sono i sistemi di raccomandazione
2. Sistemi Content Based
3. Collaborative Filtering
4. Graph Based
5. Progetto scientifico: predizione di annotazioni su articoli di biomedicina
MIT Enterprise Forum of Cambridge Connected Things 2017 panel discussion on "IoT Analytics: Using Analytics to Generate High Value from IoT in the Real World"
The Impact of IoT on Cloud Computing, Big Data & AnalyticsSyam Madanapalli
IoT Applications are different from typical enterprise applications; and most of the companies are hijacking what the IoT is depending on the what products/solutions they offer. I put up my point of view on how the IoT impacts the traditional Cloud Computing and Big Data Analytics. The takeaway from this presentation is IoT requires realtime computing as the data moves from the physical world to the cyber world (Cloud) to take actions at spatiotemporal location.
This document provides an overview of Amazon Web Services storage options for big data and analytics workloads. It discusses Amazon S3, Amazon EBS volume types, use cases for different storage solutions, examples of customers optimizing storage, and a new feature called EBS Elastic Volumes that allows modifying the configuration of live EBS volumes non-disruptively.
Big data, live data, user data: BBC FuturePaul Bradshaw
This document discusses the future of journalism using big data, live data, and user data. It notes that while there is more big data being generated across industries, it still needs oversight. Live data raises questions around what systems could be used to alert, report on, and utilize information. User data presents opportunities to connect with and engage audiences, as well as opportunities for sousveillance, or monitoring those in power.
he Named Data Networking (NDN) project proposed an evolution of the IP architecture that generalizes the role of this thin waist, such that packets can name objects other than communication endpoints. More specifically, NDN changes the semantics of network service from delivering the packet to a given destination address to fetching data identified by a given name. The name in an NDN packet can name anything – an endpoint, a data chunk in a movie or a book, a command to turn on some lights, etc. The hope is that this conceptually simple change allows NDN networks to apply almost all of the Internet’s well-tested engineering properties to broader range of problems beyond end-to-end communications.
MONETIZABLE VALUE CREATION WITH INDUSTRIAL IoTugkaz
The document discusses how industrial Internet-of-Things (IIoT) delivers value through analytics. It notes that IIoT differs from traditional enterprise analytics by focusing on creating monetizable value and enabling new business models through impactful analytics. IIoT analytics deals with big, unstructured data from machines in complex ecosystems, requires contextual industry knowledge, and focuses on forward-looking scenarios and quantifying uncertainty rather than retrospective reporting. The role of analytics is critical to IIoT's ability to deliver value from vast amounts of machine-generated data.
This document provides information about Silex, a PHP micro-framework. It includes usage examples and configuration instructions for Silex on Apache, Nginx, IIS, and Lighttpd web servers. It also covers routing, controllers, middlewares, error handling, and other Silex features.
The document discusses security challenges for internet of things (IoT) devices. It outlines three rules for IoT security: don't be dumb, think about what's different from traditional internet security, and be smart. What's different about IoT includes the long lifespan of devices which makes updates difficult, limited capabilities of small devices, and highly personal user data. The document recommends not relying on security through obscurity and considering cryptography options that can work on small devices like ECC. It also discusses secure protocols and identity management through federated identity as an option for authentication and authorization with IoT devices.
The document discusses how cognitive computing can enable smarter homes and devices by allowing them to understand natural language, learn from interactions, and reason about complex contexts instead of just following programmed instructions. It provides examples of how cognitive systems could interpret questions about the weather, book travel arrangements, and recognize individuals in the home based on voice and image analysis. The future of smart homes will involve devices having contextual intelligence and understanding through cognitive approaches rather than just responding to structured commands.
Your Thing is Pwned - Security Challenges for the IoTWSO2
The Internet of Things and Machine to Machine are growing areas, and security and privacy are prime issues. In this session security challenges are examined around using M2M devices with protocols such as MQTT & CoAP - encryption, federated identity and authorisation models in particular.
On the topic of encryption, we’ll examine securing MQTT with TLS, challenges with Arduino, and using hardware encryption for microcontrollers. A key privacy requirement for user-centric IoT use cases will be giving users control over how their things collect and share data. On the Internet, protocols like OAuth 2.0, OpenID Connect & User Managed Access have been defined to enable a privacy-respecting user consent & authorization model. We'll look at the issues with applying these protocols to the M2M world and review existing proposals & activity for extending the above M2M protocols to include federated identity concepts.
The session included a live demonstration of Arduino and Eclipse Paho inter-operating secured by OAuth 2.0.
The document is a list of the date "Tuesday, May 15, 12" repeated multiple times without any other context or information provided. It does not contain any meaningful or essential information that can be summarized in 1-3 sentences.
Congresso Sociedade Brasileira de Computação CSBC2016 Porto Alegre (Brazil)
Workshop on Cloud Networks & Cloudscape Brazil
Flavio Lenz Cesar, Central Bank of Brazil, Brazil
The European Commission, in a recent communication (April 19th), has identified 5G and Internet of Things (IoT) amongst the ICT standardisation priorities for the Digital Single Market (DSM). This session will discuss the emergence of the mobile edge computing paradigm to reduce the latency for processing near the source large quantities of data and the need of the emerging 5G technology to satisfy the requirements of different verticals. Mobile Edge Clouds have the potential to provide an enormous amount of resources, but it raises several research challenges related to the resilience, security, data portability and usage due to the presence of multiple trusted domains, as well as energy consumption of battery powered devices. Large and centralized clouds have been deployed and have shown how this paradigm can greatly improve performance and flexibility while reducing costs. However, there are many issues requiring solutions that are user and context aware, dynamic, and with the capability to handle heterogeneous demands and systems. This is a challenge triggered by the Internet of Things (IoT) scenario, which strongly requires cloud-based solutions that can be dynamically located and managed, on demand and with self-organization capabilities to serve the purposes of different verticals.
The document summarizes a report on the global big data and data analytics market for homeland security and public safety from 2017-2022. It forecasts that the market will grow at a compound annual rate of 17.5% to reach $11 billion by 2022. It also finds that government intelligence agencies and police/law enforcement will increase spending the most during this period. Finally, it identifies key drivers of growth for this market, including new data sources from smartphones/IoT, cloud adoption, and the need to address evolving security threats.
This document discusses the convergence of IoT and cloud computing. It describes how IoT platforms have major requirements for connectivity, dynamic management of devices and data, and deriving value from connected devices. The cloud offers resources that can meet these IoT needs, including scalability, elasticity, and ubiquitous access. There are two main convergence approaches - cloud-centric IoT, which brings IoT functionality to the cloud, and IoT-centric cloud, which brings cloud functionality to distributed IoT networks. Examples are given of existing platforms that take each approach. Key challenges of the IoT-cloud convergence include distributed processing and storage of massive IoT data, interoperability, and ensuring real-time communication across devices, applications
Thomas P. Ivanyi, an entrepreneur and investment professional with more than 30 years of experience, is the inventor, founder, and CEO of iTvTrax, LLC. As the patent holder of the proprietary television audience measuring system, Thomas P. Ivanyi has a keen interest in the latest developments in technology.
To view recording of this webinar please use below URL:
http://wso2.com/library/webinars/2016/05/making-smarter-systems-with-iot-and-analytics/
Many systems today play an increasingly important role in our lives and communities. Systems can learn and adopt by themselves without having to follow a structured, predefined execution flow. They are digitally independant and have become smarter, faster and more reliable. Digital intelligence can be embedded not just in individual components but also across entire systems, impacting everything from traffic flows and electric power to the way our food is grown, processed and delivered. This is achieved by employing the capabilities of multiple disciplines. Devices and systems produce large volume unstructured data. Real-time or historical data can be analyzed to uncover hidden patterns, correlations and other insights and this information is then fed into machine learning algorithms that calculates predictions.
WSO2’s analytics platform together with the WSO2 IoT Server can provide all these capabilities. This webinar aims to
Identify key capabilities needed when composing a smart system
Explore how WSO2’s analytics platform can be used to make a system smarter
Discuss how WSO2 IoT Server manages and enable devices
WSO2Con USA 2015: Keynote - The Future of Real-Time Analytics and IoTWSO2
This document discusses the future of analytics and IoT. It notes that advanced analytics, predictive analytics, and streaming analytics are increasingly important but many firms still struggle to make insights actionable in real-time. Truly leveraging big data requires learning from, modeling, detecting patterns in, and adapting to real-time data streams. When analytics are built into applications, it allows them to gain insights and make predictions that can optimize decisions and customer experiences.
This document discusses analytics at the edge in Internet of Things environments. It provides an overview of edge computing and examples of edge devices. It then introduces Apache Edgent (formerly Quarks), an open source programming model and runtime for streaming analytics at the edge. The document also discusses using the Informix database for analytics on sensor data both at the edge and in the cloud, and it demonstrates connecting Edgent to Informix on a Raspberry Pi for real-time sensor data analysis.
This document introduces an IoT-based smart home system developed by a group of students. The system uses a Raspberry Pi as the central controller connected to various sensors and appliances via relays. It allows remote monitoring and control of lights, fans and security through a web interface or mobile app. The system architecture consists of physical devices, communication protocols, and an application layer for user control. The document discusses the components, circuit diagrams and provides an overview of the proposed smart home system and its applications.
Big data analytics involves capturing, storing, processing, analyzing, and visualizing huge quantities of information from a variety of sources. This data is characterized by its volume, variety, velocity, veracity, variability, and complexity. Traditional analytics are not suited to handle big data due to its size and constantly changing nature. By analyzing patterns in big data, businesses can gain insights to improve processes and campaigns. However, specialized software is needed to make sense of big data's different types and formats from numerous sources. The right big data solution depends on an organization's specific data, budgets, skills, and future needs.
Propelling Consumer Businesses using Artificial IntelligenceICFAIEDGE
Artificial Intelligence is being leveraged in several areas to achieve efficiency and scale consumer satisfaction. Artificial intelligence is being leveraged for predictive analysis, machine learning, speech recognition, natural language processing and a host of other areas. Learn more in this presentation.
In this deck from the ISC Big Data’14 Conference in Heidelberg, Dirk Slama from Bosch presents: The Internet of Things.
"The vision for the Internet of Things is very powerful – a world in which assets, devices, machines, and cloud-based applications seamlessly interoperate, enabling new business models and services; with big data analytics as a foundation to support intelligent decision making in this connected world. As with every vision, the question is how to make it happen. This presentation provides key success factors for IoT, as well as a detailed overview of concrete IoT uses cases in the areas of automotive and transport, manufacturing and supply chain, as well as energy. Finally, a framework for IoT implementation is presented, which helps making your IoT projects a success.”
Dirk Slama is Director of Business Development at Bosch Software Innovations. Bosch SI is spearheading the Internet of Things (IoT) activities of Bosch, the global engineering group.
Watch the video presentation: http://inside-bigdata.com/2014/10/01/dirk-slama-keynote-internet-things/
As this is a home game for Bosch two of the techies behind IBM Connections @ Bosch will give you a deep dive directly from the machine room of Bosch Connect.
We will share our Best Practices around IBM Connections deployment and custom developments with you.
This will be a strong technical session and we’ll definitely share some code with you.
Big data, live data, user data: BBC FuturePaul Bradshaw
This document discusses the future of journalism using big data, live data, and user data. It notes that while there is more big data being generated across industries, it still needs oversight. Live data raises questions around what systems could be used to alert, report on, and utilize information. User data presents opportunities to connect with and engage audiences, as well as opportunities for sousveillance, or monitoring those in power.
he Named Data Networking (NDN) project proposed an evolution of the IP architecture that generalizes the role of this thin waist, such that packets can name objects other than communication endpoints. More specifically, NDN changes the semantics of network service from delivering the packet to a given destination address to fetching data identified by a given name. The name in an NDN packet can name anything – an endpoint, a data chunk in a movie or a book, a command to turn on some lights, etc. The hope is that this conceptually simple change allows NDN networks to apply almost all of the Internet’s well-tested engineering properties to broader range of problems beyond end-to-end communications.
MONETIZABLE VALUE CREATION WITH INDUSTRIAL IoTugkaz
The document discusses how industrial Internet-of-Things (IIoT) delivers value through analytics. It notes that IIoT differs from traditional enterprise analytics by focusing on creating monetizable value and enabling new business models through impactful analytics. IIoT analytics deals with big, unstructured data from machines in complex ecosystems, requires contextual industry knowledge, and focuses on forward-looking scenarios and quantifying uncertainty rather than retrospective reporting. The role of analytics is critical to IIoT's ability to deliver value from vast amounts of machine-generated data.
This document provides information about Silex, a PHP micro-framework. It includes usage examples and configuration instructions for Silex on Apache, Nginx, IIS, and Lighttpd web servers. It also covers routing, controllers, middlewares, error handling, and other Silex features.
The document discusses security challenges for internet of things (IoT) devices. It outlines three rules for IoT security: don't be dumb, think about what's different from traditional internet security, and be smart. What's different about IoT includes the long lifespan of devices which makes updates difficult, limited capabilities of small devices, and highly personal user data. The document recommends not relying on security through obscurity and considering cryptography options that can work on small devices like ECC. It also discusses secure protocols and identity management through federated identity as an option for authentication and authorization with IoT devices.
The document discusses how cognitive computing can enable smarter homes and devices by allowing them to understand natural language, learn from interactions, and reason about complex contexts instead of just following programmed instructions. It provides examples of how cognitive systems could interpret questions about the weather, book travel arrangements, and recognize individuals in the home based on voice and image analysis. The future of smart homes will involve devices having contextual intelligence and understanding through cognitive approaches rather than just responding to structured commands.
Your Thing is Pwned - Security Challenges for the IoTWSO2
The Internet of Things and Machine to Machine are growing areas, and security and privacy are prime issues. In this session security challenges are examined around using M2M devices with protocols such as MQTT & CoAP - encryption, federated identity and authorisation models in particular.
On the topic of encryption, we’ll examine securing MQTT with TLS, challenges with Arduino, and using hardware encryption for microcontrollers. A key privacy requirement for user-centric IoT use cases will be giving users control over how their things collect and share data. On the Internet, protocols like OAuth 2.0, OpenID Connect & User Managed Access have been defined to enable a privacy-respecting user consent & authorization model. We'll look at the issues with applying these protocols to the M2M world and review existing proposals & activity for extending the above M2M protocols to include federated identity concepts.
The session included a live demonstration of Arduino and Eclipse Paho inter-operating secured by OAuth 2.0.
The document is a list of the date "Tuesday, May 15, 12" repeated multiple times without any other context or information provided. It does not contain any meaningful or essential information that can be summarized in 1-3 sentences.
Congresso Sociedade Brasileira de Computação CSBC2016 Porto Alegre (Brazil)
Workshop on Cloud Networks & Cloudscape Brazil
Flavio Lenz Cesar, Central Bank of Brazil, Brazil
The European Commission, in a recent communication (April 19th), has identified 5G and Internet of Things (IoT) amongst the ICT standardisation priorities for the Digital Single Market (DSM). This session will discuss the emergence of the mobile edge computing paradigm to reduce the latency for processing near the source large quantities of data and the need of the emerging 5G technology to satisfy the requirements of different verticals. Mobile Edge Clouds have the potential to provide an enormous amount of resources, but it raises several research challenges related to the resilience, security, data portability and usage due to the presence of multiple trusted domains, as well as energy consumption of battery powered devices. Large and centralized clouds have been deployed and have shown how this paradigm can greatly improve performance and flexibility while reducing costs. However, there are many issues requiring solutions that are user and context aware, dynamic, and with the capability to handle heterogeneous demands and systems. This is a challenge triggered by the Internet of Things (IoT) scenario, which strongly requires cloud-based solutions that can be dynamically located and managed, on demand and with self-organization capabilities to serve the purposes of different verticals.
The document summarizes a report on the global big data and data analytics market for homeland security and public safety from 2017-2022. It forecasts that the market will grow at a compound annual rate of 17.5% to reach $11 billion by 2022. It also finds that government intelligence agencies and police/law enforcement will increase spending the most during this period. Finally, it identifies key drivers of growth for this market, including new data sources from smartphones/IoT, cloud adoption, and the need to address evolving security threats.
This document discusses the convergence of IoT and cloud computing. It describes how IoT platforms have major requirements for connectivity, dynamic management of devices and data, and deriving value from connected devices. The cloud offers resources that can meet these IoT needs, including scalability, elasticity, and ubiquitous access. There are two main convergence approaches - cloud-centric IoT, which brings IoT functionality to the cloud, and IoT-centric cloud, which brings cloud functionality to distributed IoT networks. Examples are given of existing platforms that take each approach. Key challenges of the IoT-cloud convergence include distributed processing and storage of massive IoT data, interoperability, and ensuring real-time communication across devices, applications
Thomas P. Ivanyi, an entrepreneur and investment professional with more than 30 years of experience, is the inventor, founder, and CEO of iTvTrax, LLC. As the patent holder of the proprietary television audience measuring system, Thomas P. Ivanyi has a keen interest in the latest developments in technology.
To view recording of this webinar please use below URL:
http://wso2.com/library/webinars/2016/05/making-smarter-systems-with-iot-and-analytics/
Many systems today play an increasingly important role in our lives and communities. Systems can learn and adopt by themselves without having to follow a structured, predefined execution flow. They are digitally independant and have become smarter, faster and more reliable. Digital intelligence can be embedded not just in individual components but also across entire systems, impacting everything from traffic flows and electric power to the way our food is grown, processed and delivered. This is achieved by employing the capabilities of multiple disciplines. Devices and systems produce large volume unstructured data. Real-time or historical data can be analyzed to uncover hidden patterns, correlations and other insights and this information is then fed into machine learning algorithms that calculates predictions.
WSO2’s analytics platform together with the WSO2 IoT Server can provide all these capabilities. This webinar aims to
Identify key capabilities needed when composing a smart system
Explore how WSO2’s analytics platform can be used to make a system smarter
Discuss how WSO2 IoT Server manages and enable devices
WSO2Con USA 2015: Keynote - The Future of Real-Time Analytics and IoTWSO2
This document discusses the future of analytics and IoT. It notes that advanced analytics, predictive analytics, and streaming analytics are increasingly important but many firms still struggle to make insights actionable in real-time. Truly leveraging big data requires learning from, modeling, detecting patterns in, and adapting to real-time data streams. When analytics are built into applications, it allows them to gain insights and make predictions that can optimize decisions and customer experiences.
This document discusses analytics at the edge in Internet of Things environments. It provides an overview of edge computing and examples of edge devices. It then introduces Apache Edgent (formerly Quarks), an open source programming model and runtime for streaming analytics at the edge. The document also discusses using the Informix database for analytics on sensor data both at the edge and in the cloud, and it demonstrates connecting Edgent to Informix on a Raspberry Pi for real-time sensor data analysis.
This document introduces an IoT-based smart home system developed by a group of students. The system uses a Raspberry Pi as the central controller connected to various sensors and appliances via relays. It allows remote monitoring and control of lights, fans and security through a web interface or mobile app. The system architecture consists of physical devices, communication protocols, and an application layer for user control. The document discusses the components, circuit diagrams and provides an overview of the proposed smart home system and its applications.
Big data analytics involves capturing, storing, processing, analyzing, and visualizing huge quantities of information from a variety of sources. This data is characterized by its volume, variety, velocity, veracity, variability, and complexity. Traditional analytics are not suited to handle big data due to its size and constantly changing nature. By analyzing patterns in big data, businesses can gain insights to improve processes and campaigns. However, specialized software is needed to make sense of big data's different types and formats from numerous sources. The right big data solution depends on an organization's specific data, budgets, skills, and future needs.
Propelling Consumer Businesses using Artificial IntelligenceICFAIEDGE
Artificial Intelligence is being leveraged in several areas to achieve efficiency and scale consumer satisfaction. Artificial intelligence is being leveraged for predictive analysis, machine learning, speech recognition, natural language processing and a host of other areas. Learn more in this presentation.
In this deck from the ISC Big Data’14 Conference in Heidelberg, Dirk Slama from Bosch presents: The Internet of Things.
"The vision for the Internet of Things is very powerful – a world in which assets, devices, machines, and cloud-based applications seamlessly interoperate, enabling new business models and services; with big data analytics as a foundation to support intelligent decision making in this connected world. As with every vision, the question is how to make it happen. This presentation provides key success factors for IoT, as well as a detailed overview of concrete IoT uses cases in the areas of automotive and transport, manufacturing and supply chain, as well as energy. Finally, a framework for IoT implementation is presented, which helps making your IoT projects a success.”
Dirk Slama is Director of Business Development at Bosch Software Innovations. Bosch SI is spearheading the Internet of Things (IoT) activities of Bosch, the global engineering group.
Watch the video presentation: http://inside-bigdata.com/2014/10/01/dirk-slama-keynote-internet-things/
As this is a home game for Bosch two of the techies behind IBM Connections @ Bosch will give you a deep dive directly from the machine room of Bosch Connect.
We will share our Best Practices around IBM Connections deployment and custom developments with you.
This will be a strong technical session and we’ll definitely share some code with you.
This document discusses Industry 4.0 and what it means for the partnership between Tekniker/ES and Brockhaus Group. It defines Industry 4.0 as the fourth industrial revolution focused on software and information processing. It describes how Industry 4.0 will enable decentralized production through smart objects, autonomous products, and real-time decision making. For the partnership, Industry 4.0 means opportunities to improve production quality through data analysis, optimize maintenance through equipment prognostics, and enable new ways of interacting with equipment via mobile devices and augmented reality. Example reference projects are described that apply predictive maintenance, anomaly detection, and big data analysis to wind turbines, machine tools, and automotive production lines.
OSGi and EEBus - Use cases for electric vehicle charging stations, heating sy...mfrancis
OSGi Community Event 2017 Presentation by Kai Hackbath [Bosch Software Innovations GmbH]
This talk will introduce some use cases of real world solutions that Bosch Software Innovations customers have implemented for electric vehicle charging stations,heating systems and home appliances using OSGi and EEBus.
EEBus is a German initiative that aims to standardize a global language for devices communicating with each other about energy. Bosch Software Innovations implemented the EEBus SHIP and SPINE specifications for its OSGi based ProSyst Gateway Stack.
The talk will conclude with a review of the benefits that are achieved with a joint OSGi and EEBus solution.
Bosch in the Epicenter of New Trends and the Role of Leadership_20171023.pdfMGImportadora
The document discusses electrification, autonomous driving, and connectivity trends in the automotive industry from Bosch's perspective. It provides an overview of Bosch as a global technology company with strong independence, financials, and research spending. Bosch sees electrification growing significantly by 2025, with electric vehicles and hybrids making up around one-third of new cars sold. Autonomous driving is also progressing, with self-driving cars in cities expected soon and connected vehicles reaching 250 million by 2020. These new trends present both challenges and opportunities for new markets, players, and business models in mobility.
Webinar: The Vorto project proposal for Eclipse Internet of Things (IoT)Stefan Ferber
Internet of Things Information Model Repository
Bosch initiates the IoT Information Model Repository project (Vorto). The idea behind Vorto is to push the standardization of so-called information models. An information model is an abstraction of a device.
See also our blog http://blog.bosch-si.com/categories/technology/2014/10/your-feedback-eclipse-iot-open-source-standardization-project/
or the project proposal https://projects.eclipse.org/proposals/vorto
Marcus Knöll (Bosch): Implementation of Augmented Reality in the Pharmaceutic...AugmentedWorldExpo
A talk from the Enterprise Track at AWE EU 2018 - the World's #1 XR Conference & Expo in Munich, Germany 18 -19, October, 2018.
Marcus Knöll (Bosch): Implementation of Augmented Reality in the Pharmaceutical Process Environment
The speech will start off with the key driver for the traditional pharmaceutical industry striving to look for “relatively new technology” in order to reduce cost – whether it is cost ownership or the reduced quality cost. Bosch Packaging Technology introduced augmented reality as a possible solution to the pharmaceutical industry. The presentation will reveal the first implementation within the pharmaceutical industry showing how an operator is enabled to teach himself the assembly and the use of the HMI. In addition, it will be displayed how the maintenance of the equipment is supported by an easy and safe identification of wear parts. The lecture will be rounded up by the future prospects of possible integrations of augmented reality in more complex systems and how further services could be integrated.
http://AugmentedWorldExpo.com
The document discusses approaches for building a successful IoT business. It notes that the global IoT market is expected to grow significantly between 2020 and 2023, reaching €570 billion. To capitalize on this growth, the document recommends focusing on high-value assets and industries like mobility and healthcare that are well-suited for IoT solutions. It also suggests adopting a platform approach and shifting from a product-based to a service-based business model to increase recurring revenue through offerings like usage-based pricing. Finally, the document emphasizes the importance of ecosystem partnerships and taking a role as an orchestrator to maximize scaling opportunities across industries.
JOULEHUB: TRANSFORM YOUR PROJECTS INTO SUCCESSJOULEHUB GMBH
JOULEHUB is a tech lab that provides digital transformation and R&D services to help clients transform their projects into success. It has 75 employees and freelancers across locations in Switzerland, Italy, and Australia. JOULEHUB's services include consulting, integration, R&D prototyping, electronics design, and production. The presentation provides an overview of JOULEHUB's business areas and capabilities, and showcases several case studies where it helped clients with digital transformation initiatives in areas like industry 4.0, farming 4.0, and smart cities.
The document discusses open source software as a business opportunity. It notes that software is becoming a key part of most products and services, and that software-as-a-service models are more popular than traditional software licensing. Open source can help companies reduce costs, share risks, and collaborate with partners. The document advocates building open source ecosystems and platforms to expand into new markets like the Internet of Things. It presents Bosch's vision for an open IoT platform that allows various devices, solutions, and industries to connect in a vendor-neutral way.
The document provides an overview of Bosch Jaipur plant (JaP), describing its establishment in 1999 to manufacture diesel fuel injection pumps, key departments like Quality Management and Methods (QMM), and major customers in India that JaP supplies. It also includes details about the functioning and major components of a VE pump that JaP manufactures.
De Bosch reis naar een social business Joachim HeinzPlatformE2E
Joachim Heinz gave a presentation about Bosch's efforts to build a connected enterprise using social business strategies. Bosch has over 280,000 associates across 280 plants worldwide and has been in business for 128 years across automotive, industry, building and energy sectors. Heinz discussed Bosch's use of social networking platforms internally to improve processes, share ideas across locations and optimize operations. Some examples included using online communities and ideas campaigns to generate sensor ideas and accelerate technical planning. Heinz believes social strategies can help organizations operate like intelligent, adaptable brains.
Business Ecosystems in the Factory of the FutureStefan Ferber
Die Internet der Dinge-Technologie birgt auch für die Industrie ein enormes Potenzial. Durch die Vernetzung von Maschinen, Werkstücken, Systemen und Marktteilnehmer entlang der Wertschöpfungskette können in Zukunft Fertigungsprozesse völlig neu organisiert werden. Durch diese Veränderungen entstehen sowohl für bestehende als auch für neue Marktteilnehmer spannende Möglichkeiten für neue Geschäftsmodelle und Kooperationen.
In seinem Vortrag zeigt Dr. Stefan Ferber am Beispiel von Instandhaltung und Logistik, wie sich das Business für Unternehmen verändert und wie der Produktionsstandort Deutschland von diesen Veränderungen profitiert.
Scott Hibbard MIT STEX Factory Automation Challenges - an industry perspectiveMIT Startup Exchange
1. Bosch is one of the world's largest automotive technology suppliers with sales of 48.9 billion euros and 290,000 associates. It is a leading manufacturer of security technology, power tools, household appliances, and industrial technology such as drive and control systems.
2. Industry 4.0 refers to the current trend of automation and data exchange in manufacturing technologies including cyber-physical systems, Internet of things, cloud computing and cognitive computing.
3. Bosch has over 80 internal Industry 4.0 projects across its 250 plants to become both a solution provider and user, developing software, machine platforms, and integrated hardware and software solutions.
The presentation of a workshop we gave at AKKA about Virtual and Augmented Reality. It contains up to 35 case studies in VR & AR in the industry.
The full presentation is about 400MB large and contains the videos we showed. Contact us if you would like to see this presentation.
INTERFACE, by apidays - Convincing at scale by Marcelo Araujo & David Halsba...apidays
INTERFACE, by apidays 2021 - It’s APIs all the way down
June 30, July 1 & 2, 2021
Convincing at scale
Marcelo Araujo, Lead API Center for Enablement at Bosch USA & David Halsband, Enterprise Architect IoT and Digitalization at Bosch
Industry 4.0 and TVET delivery from the viewpoint of private sectorOECD CFE
Presentation by Nikolay Kurnosov, Rexroth, Bosch Group, at the 9th OECD Southeast Asian Regional Policy Network on Education and Skills 11-12 October 2017, Ha Noi, Viet Nam.
More information: http://www.oecd.org/employment/leed/employmentesssa.htm
DCEU 18: Designing a Global Centralized Container Platform for a Multi-Cluste...Docker, Inc.
The document summarizes Robert Bosch GmbH's efforts to design and implement a centralized container platform and global image repository for its large, multicluster enterprise environment. It established standardized Docker clusters across its 280+ sites worldwide and deployed multiple Docker Trusted Registries for image distribution. This centralized approach replaced decentralized environments, reduced costs and efforts for users, and ensured security and compliance. Lessons learned included the need for central management of the multi-component system and additional security tools for container environments.
The brand BOSCH Invented For Life is a proud brand principal of the Industrial Tools & Truck Spares Division in German-Gulf Enterprises Ltd. Boschs product line consist of Measurement Testing Tools, Car Washers, Rotary Drills, Hammers, Grinders, Screwdrivers, Saws, Routers, Dust Extractors, Blowers and Heat Guns. E-mail: industrial@german-gulf.com
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Optimizing Post Remediation Groundwater Performance with Enhanced Microbiolog...Joshua Orris
Results of geophysics and pneumatic injection pilot tests during 2003 – 2007 yielded significant positive results for injection delivery design and contaminant mass treatment, resulting in permanent shut-down of an existing groundwater Pump & Treat system.
Accessible source areas were subsequently removed (2011) by soil excavation and treated with the placement of Emulsified Vegetable Oil EVO and zero-valent iron ZVI to accelerate treatment of impacted groundwater in overburden and weathered fractured bedrock. Post pilot test and post remediation groundwater monitoring has included analyses of CVOCs, organic fatty acids, dissolved gases and QuantArray® -Chlor to quantify key microorganisms (e.g., Dehalococcoides, Dehalobacter, etc.) and functional genes (e.g., vinyl chloride reductase, methane monooxygenase, etc.) to assess potential for reductive dechlorination and aerobic cometabolism of CVOCs.
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The results of the MetaArray™ analysis’ support vector machine (SVM) identified groundwater monitoring wells with a 80% confidence that were characterized as either Limited for Reductive Decholorination or had a High Reductive Reduction Dechlorination potential. The results of MetaArray™ will be used to further optimize the site’s post remediation monitoring program for monitored natural attenuation.
Improving the viability of probiotics by encapsulation methods for developmen...Open Access Research Paper
The popularity of functional foods among scientists and common people has been increasing day by day. Awareness and modernization make the consumer think better regarding food and nutrition. Now a day’s individual knows very well about the relation between food consumption and disease prevalence. Humans have a diversity of microbes in the gut that together form the gut microflora. Probiotics are the health-promoting live microbial cells improve host health through gut and brain connection and fighting against harmful bacteria. Bifidobacterium and Lactobacillus are the two bacterial genera which are considered to be probiotic. These good bacteria are facing challenges of viability. There are so many factors such as sensitivity to heat, pH, acidity, osmotic effect, mechanical shear, chemical components, freezing and storage time as well which affects the viability of probiotics in the dairy food matrix as well as in the gut. Multiple efforts have been done in the past and ongoing in present for these beneficial microbial population stability until their destination in the gut. One of a useful technique known as microencapsulation makes the probiotic effective in the diversified conditions and maintain these microbe’s community to the optimum level for achieving targeted benefits. Dairy products are found to be an ideal vehicle for probiotic incorporation. It has been seen that the encapsulated microbial cells show higher viability than the free cells in different processing and storage conditions as well as against bile salts in the gut. They make the food functional when incorporated, without affecting the product sensory characteristics.
Evolving Lifecycles with High Resolution Site Characterization (HRSC) and 3-D...Joshua Orris
The incorporation of a 3DCSM and completion of HRSC provided a tool for enhanced, data-driven, decisions to support a change in remediation closure strategies. Currently, an approved pilot study has been obtained to shut-down the remediation systems (ISCO, P&T) and conduct a hydraulic study under non-pumping conditions. A separate micro-biological bench scale treatability study was competed that yielded positive results for an emerging innovative technology. As a result, a field pilot study has commenced with results expected in nine-twelve months. With the results of the hydraulic study, field pilot studies and an updated risk assessment leading site monitoring optimization cost lifecycle savings upwards of $15MM towards an alternatively evolved best available technology remediation closure strategy.
RoHS stands for Restriction of Hazardous Substances, which is also known as t...vijaykumar292010
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Kinetic studies on malachite green dye adsorption from aqueous solutions by A...Open Access Research Paper
Water polluted by dyestuffs compounds is a global threat to health and the environment; accordingly, we prepared a green novel sorbent chemical and Physical system from an algae, chitosan and chitosan nanoparticle and impregnated with algae with chitosan nanocomposite for the sorption of Malachite green dye from water. The algae with chitosan nanocomposite by a simple method and used as a recyclable and effective adsorbent for the removal of malachite green dye from aqueous solutions. Algae, chitosan, chitosan nanoparticle and algae with chitosan nanocomposite were characterized using different physicochemical methods. The functional groups and chemical compounds found in algae, chitosan, chitosan algae, chitosan nanoparticle, and chitosan nanoparticle with algae were identified using FTIR, SEM, and TGADTA/DTG techniques. The optimal adsorption conditions, different dosages, pH and Temperature the amount of algae with chitosan nanocomposite were determined. At optimized conditions and the batch equilibrium studies more than 99% of the dye was removed. The adsorption process data matched well kinetics showed that the reaction order for dye varied with pseudo-first order and pseudo-second order. Furthermore, the maximum adsorption capacity of the algae with chitosan nanocomposite toward malachite green dye reached as high as 15.5mg/g, respectively. Finally, multiple times reusing of algae with chitosan nanocomposite and removing dye from a real wastewater has made it a promising and attractive option for further practical applications.