This document summarizes the work of the Telecommunications Software and Systems Group (TSSG) at Waterford Institute of Technology. It discusses TSSG's focus areas including networks, mobile applications, communications services, professional services, virtual and augmented reality, internet of things, and data mining. It promotes TSSG's Programmable and Autonomous Systems unit and its work innovating complex distributed systems for health, transport and energy industries. Contact information is provided for the unit's manager, Dr. Steven Davy.
The document discusses security challenges for integrating IT and OT systems in the energy sector. It outlines different communication technologies used for circuit-based solutions, VPNs, symmetric keys, and asymmetric keys/public key infrastructure and the trust, management and scalability challenges of each. It proposes taking an incremental approach to security similar to how IT/OT integration has evolved. The final pages discuss OMNETRIC Group's focus on delivering integrated IT/OT solutions and services to utilities and their ability to support security needs as clients progress towards a smarter grid.
Design and implementation of a solution for remote data protection in safety-...davidepiccardi
ABSTRACT
Data protection is the process of safeguarding sensible information. Ensuring security becomes particularly relevant when data are used to manage operation of safety-critical systems. This is the case of MBDA, an European group with business focused on designing and producing missile systems to meet the needs of armed forces.
In general, there are several technologies that allows to cover many aspects of data security: disk encryption protects them from theft, backup protects them from loss, secure erasure protects them from unwanted recovery.
This thesis work is aimed to design and implement a system which allows to prevent unauthorized access to sensible data physically stored in one or more hard disks that could be lost or stolen. This problem cannot be solved with a standard disk encryption scheme that by default requires to pass an authentication phase by manually inserting a password. This is because those disks will be installed in a platform in which there is not the possibility to insert input.
The proposed solution addresses this problem by designing and developing a remote data protection mechanism based on a different authentication process: at power on the disk sends to a remote server information about the hardware configuration in which it is installed. The server uses such information to check if that disk is working in the expected environment and based on that it sends back a response which allows or denies the decryption of its content. This means that if the disk is stolen and installed in a different platform, data inside it cannot be decrypted. In order to make this architecture secure, there are several challenges to be faced: encrypt the communication between client and server to avoid eavesdropping, authenticate the server to avoid identity spoofing, encrypt the list of allowed hardware configurations to avoid unauthorized access or modification, protect certificates and keys to prevent them being used by unauthorized entities.
Executive panel discussion at the 2010 BDPA Technology Conference on "Federal IT Initiatives".
Panel members: John James (US Navy), Bob Whitkp (US Navy), Tony McMahon (IRS) and Dr. Anthony Junior (US Navy)
IRJET- Building a Big Data Provenance with its Applications for Smart CitiesIRJET Journal
This document discusses applications of big data across various industries and fields. It begins with an introduction to big data and defines it as large datasets that cannot be processed with traditional software tools. It then discusses key applications of big data in healthcare, manufacturing, development/government, and media/entertainment. Specifically, it outlines how big data is used in healthcare for clinical decision making and personalized treatment, in manufacturing for predictive maintenance and reducing defects, in development for resource management and economic growth, and in media for data analysis and customer insights.
Software Sustainability: The Challenges and Opportunities for Enterprises and...Patricia Lago
This is the opening keynote presentation to the 14th IFIP WG 8.1 Working Conference on the Practice of Enterprise Modeling (PoEM) 2021. See at https://poem2021.rtu.lv/program
This document summarizes the work of the Telecommunications Software and Systems Group (TSSG) at Waterford Institute of Technology. It discusses TSSG's focus areas including networks, mobile applications, communications services, professional services, virtual and augmented reality, internet of things, and data mining. It promotes TSSG's Programmable and Autonomous Systems unit and its work innovating complex distributed systems for health, transport and energy industries. Contact information is provided for the unit's manager, Dr. Steven Davy.
The document discusses security challenges for integrating IT and OT systems in the energy sector. It outlines different communication technologies used for circuit-based solutions, VPNs, symmetric keys, and asymmetric keys/public key infrastructure and the trust, management and scalability challenges of each. It proposes taking an incremental approach to security similar to how IT/OT integration has evolved. The final pages discuss OMNETRIC Group's focus on delivering integrated IT/OT solutions and services to utilities and their ability to support security needs as clients progress towards a smarter grid.
Design and implementation of a solution for remote data protection in safety-...davidepiccardi
ABSTRACT
Data protection is the process of safeguarding sensible information. Ensuring security becomes particularly relevant when data are used to manage operation of safety-critical systems. This is the case of MBDA, an European group with business focused on designing and producing missile systems to meet the needs of armed forces.
In general, there are several technologies that allows to cover many aspects of data security: disk encryption protects them from theft, backup protects them from loss, secure erasure protects them from unwanted recovery.
This thesis work is aimed to design and implement a system which allows to prevent unauthorized access to sensible data physically stored in one or more hard disks that could be lost or stolen. This problem cannot be solved with a standard disk encryption scheme that by default requires to pass an authentication phase by manually inserting a password. This is because those disks will be installed in a platform in which there is not the possibility to insert input.
The proposed solution addresses this problem by designing and developing a remote data protection mechanism based on a different authentication process: at power on the disk sends to a remote server information about the hardware configuration in which it is installed. The server uses such information to check if that disk is working in the expected environment and based on that it sends back a response which allows or denies the decryption of its content. This means that if the disk is stolen and installed in a different platform, data inside it cannot be decrypted. In order to make this architecture secure, there are several challenges to be faced: encrypt the communication between client and server to avoid eavesdropping, authenticate the server to avoid identity spoofing, encrypt the list of allowed hardware configurations to avoid unauthorized access or modification, protect certificates and keys to prevent them being used by unauthorized entities.
Executive panel discussion at the 2010 BDPA Technology Conference on "Federal IT Initiatives".
Panel members: John James (US Navy), Bob Whitkp (US Navy), Tony McMahon (IRS) and Dr. Anthony Junior (US Navy)
IRJET- Building a Big Data Provenance with its Applications for Smart CitiesIRJET Journal
This document discusses applications of big data across various industries and fields. It begins with an introduction to big data and defines it as large datasets that cannot be processed with traditional software tools. It then discusses key applications of big data in healthcare, manufacturing, development/government, and media/entertainment. Specifically, it outlines how big data is used in healthcare for clinical decision making and personalized treatment, in manufacturing for predictive maintenance and reducing defects, in development for resource management and economic growth, and in media for data analysis and customer insights.
Software Sustainability: The Challenges and Opportunities for Enterprises and...Patricia Lago
This is the opening keynote presentation to the 14th IFIP WG 8.1 Working Conference on the Practice of Enterprise Modeling (PoEM) 2021. See at https://poem2021.rtu.lv/program
Data Pioneers - Roland Haeve (Atos Nederland) - Big data in organisatiesMultiscope
This document discusses big data and its growth. It notes that in 2000, 2 exabytes of new data were produced, while in 2011 1.8 zettabytes of new data were produced. By 2020, data production is expected to grow 40 times to 35 zettabytes. The traditional 3-4 V's of big data (volume, velocity, variety, veracity) are expanding to 5-7 V's with the addition of viscosity, virality, and value. Examples of big data use cases include sensor data from CERN and jet engines, social media data from Twitter, and transactional data from Walmart. Atos provides big data analytics solutions and has implemented projects for smart metering,
CIKM2020 Keynote: Accelerating discovery science with an Internet of FAIR dat...Michel Dumontier
Biomedicine has always been a fertile and challenging domain for computational discovery science. Indeed, the existence of millions of scientific articles, thousands of databases, and hundreds of ontologies, offer exciting opportunities to reuse our collective knowledge, were we not stymied by incompatible formats, overlapping and incomplete vocabularies, unclear licensing, and heterogeneous access points. In this talk, I will discuss our work to create computational standards, platforms, and methods to wrangle knowledge into simple, but effective representations based on semantic web technologies that are maximally FAIR - Findable, Accessible, Interoperable, and Reuseable - and to further use these for biomedical knowledge discovery. But only with additional crucial developments will this emerging Internet of FAIR data and services enable automated scientific discovery on a global scale.
bio:
Dr. Michel Dumontier is the Distinguished Professor of Data Science at Maastricht University and co-founder of the FAIR (Findable, Accessible, Interoperable and Reusable) data principles. His research focuses on the development of computational methods for scalable and responsible discovery science. Dr. Dumontier obtained his BSc (Biochemistry) in 1998 from the University of Manitoba, and his PhD (Bioinformatics) in 2005 from the University of Toronto. Previously a faculty member at Carleton University in Ottawa and Stanford University in Palo Alto, Dr. Dumontier founded and directs the interfaculty Institute of Data Science at Maastricht University to develop sociotechnological systems for responsible data science by design. His work is supported through the Dutch National Research Agenda, the Netherlands Organisation for Scientific Research, Horizon 2020, the European Open Science Cloud, the US National Institutes of Health and a Marie-Curie Innovative Training Network. He is the editor-in-chief for the journal Data Science and is internationally recognized for his contributions in bioinformatics, biomedical informatics, and semantic technologies including ontologies and linked data.
This presentation was given on October 21, 2020 at CIKM2020.
IoT Analytics From Data to Decision Making- Trends & ChallengesDr. Mazlan Abbas
This document provides an overview of IoT analytics, trends, and challenges. It discusses how IoT has evolved from early connected devices in the 1980s to becoming more widespread today due to cheaper hardware, improved connectivity and software development. The document outlines how IoT data can be analyzed and transformed into useful information and insights to benefit businesses and society. It also discusses Malaysia's national policies and strategies to promote IoT adoption and the Fourth Industrial Revolution.
To meet today’s IT demands and your future business requirements you need to transform and innovate to create the IT environment of the future. An environment that speeds new products and services to market and enhances the way your people work together and communicate.
With Technology Transformation Services, we are a trusted partner for your transformation journey with proven service management and transformation skills from Atos and strong partnerships with leading technology suppliers.
We work with you to jointly define your future target operating model, we realize the transformation project, end-to-end, and provide you support and maintenance services, while you keep control of your operations.
More information: http://canopy-cloud.com
BigDataPilotDemoDays - I BiDaaS Application to the Manufacturing Sector WebinarBig Data Value Association
The new data-driven industrial revolution highlights the need for big data technologies to unlock the potential in various application domains. To this end, BDV PPP projects I-BiDaaS, BigDataStack, Track & Know and Policy Cloud deliver innovative technologies to address the emerging needs of data operations and applications. To fully exploit the sustainability and take full advantage of the developed technologies, the projects onboarded pilots that exhibit their applicability in a wide variety of sectors. In the Big Data Pilot Demo Days, the projects will showcase the developed and implemented technologies to interested end-users from the industry as well as technology providers, for further adoption.
IRJET- Scope of Big Data Analytics in Industrial DomainIRJET Journal
This document discusses the scope of big data analytics in industrial domains. It begins by defining big data and its key characteristics, known as the "7 V's" - volume, velocity, variety, variability, veracity, value, and volatility. It then discusses how big data is generated in various fields like social media, search engines, healthcare, online shopping, and stock exchanges. The document focuses on how big data analytics can be applied in industrial Internet of Things (IoT) to extract meaningful information from large and continuous data streams generated by IoT devices using machine learning techniques.
Life science requirements from e-infrastructure:initial results from a joint...Rafael C. Jimenez
This document summarizes a workshop on life science requirements from e-infrastructure held by BioMedBridges. It discusses how big data is affecting challenges like data growth outpacing storage and transfer speeds. Potential solutions proposed include improving storage, compression, networking, partitioning data, and computing approaches like clouds. The workshop concluded that e-infrastructures need to better understand research infrastructure problems, evaluate bottlenecks, discuss solutions, and define requirements as big data will change current approaches to data sharing and management.
This talk provides an overview of the key design principles for software for Humanitarian & Development Contexts through the study the development process of a production grade diagnostic support tool developed and deployed in 2011 (and still running).
Presented at a Beer & Design Talk (http://dbtalks.org/).
PhD Research Opportunities On Internet Of Things Logistics - PhdassistancePhD Assistance
As a result, the Internet of Things (IoT) has gotten a lot of attention, especially in recent years, because it has led to significant changes in lifestyle as well as emerging technologies like Machine-to-Machine (M2M) communication [2], context-aware computing, and Radio Frequency Identification (RFID). On an open, gigantic, self-configured, and dynamic internet-based network, these technologies make it possible to identify, connect, adapt, and localise, as well as track and monitor such objects as wearable devices, smart home appliances, intelligent vehicles and drones, and smart applications for industrial automation and logistics.
Learn More:https://bit.ly/3A2TzkV
Contact Us:
Website: https://www.phdassistance.com/
UK: +44 7537144372
India No:+91-9176966446
Email: info@phdassistance.com
This document is a report from the President's Information Technology Advisory Committee (PITAC) that provides recommendations for revolutionizing health care through information technology. The report finds that while the U.S. health care system is scientifically advanced, it still relies heavily on paper-based medical records, which are costly and error-prone. The report recommends a framework for a 21st century health care information infrastructure that includes electronic health records for all Americans, computerized clinical decision support, computerized provider order entry, and secure electronic health information exchange. The recommendations address technical challenges and barriers that require federal leadership to overcome.
IRJET-A Review: IoT and Cloud Computing for Future InternetIRJET Journal
This document reviews the integration of Internet of Things (IoT) and cloud computing for future internet applications. It discusses how IoT allows billions of devices to connect and communicate over networks, while cloud computing provides scalable backend processing and storage. However, there is currently no common framework integrating the two. The document argues that IP Multimedia Subsystem (IMS) communication platform provides the most suitable framework. It then reviews several related works discussing challenges and solutions in integrating IoT and cloud computing. Areas like healthcare, transportation, and environmental monitoring are discussed as domains that could benefit from an IoT and cloud computing integration.
Internet of Things (IoT) Applications and Trends Malaysia 2022Dr. Mazlan Abbas
The document provides an overview of Internet of Things (IoT) applications and trends in Malaysia in 2022. It discusses the history and development of IoT, key growth factors, common questions that IoT can help answer, examples of IoT use cases, components of an IoT system, analytics and insights from IoT data, maturity phases of IoT implementation, and policies supporting IoT adoption in Malaysia.
All the hype today is about Big Data and Analytics but many people seem to ignore the fact that if you didn't get the "Small Data" right there is absolutely no way that "Big Data" will add value to your organization - it will just add confusion
This document discusses computer and network security and how important it is to secure data and information stored on computers. Everything in modern life relies on computers, so securing data and networks is crucial, just like securing a physical bank with guards and cameras. Employees need to understand cybersecurity risks and procedures to correctly protect networks. Cyber attacks cost US businesses an average of $160,000 per security breach. Strengthening security, authentication, privacy and consumer protection is key to developing a safe information society with user confidence.
This document provides an overview of DRAXIS, a Greek company founded in 2004 that provides software engineering, ICT consulting, and digital preservation services. It has 14 employees and focuses on research and innovation projects, public procurement, and private sector work. Notable projects include ENORASIS, an integrated decision support system for irrigation management, and PERICLES, an EU-funded project to develop tools and processes for digital preservation. DRAXIS aims to ensure digital information remains accessible despite changing technologies and environments over time.
PhD Research Oppurtunities on Internet of things Logistic - PhD Assistance.pptxSureshKumar475860
As the Internet’s coverage expands, so does the number of physical items that may connect to it. By 2011, there were roughly 12.5 billion Internet-connected things, and with the arrival of 5G-Internet [3, it is expected to surpass 25 billion by the end of 2020 and 50 billion by the end of 2050 [1].
For #Enquiry:
website URL: https://bit.ly/3yPN4V5
India: +91 91769 66446
UK: +44 7537144372
Email: info@phdassistance.com
Sample work: https://bit.ly/3zFpGdL
Order now: https://www.phdassistance.com/order-now/
This document summarizes an upcoming wind energy conference focused on data management and operational efficiency. The conference will take place March 13-15, 2017 in Houston, Texas, with early registration savings available by January 27. Speakers will include representatives from energy companies, OEMs, and research organizations.
The conference will consist of keynote presentations, panel discussions, case studies, and workshops on topics such as: securing and using data for operational efficiency; big data analytics; predictive maintenance; and understanding turbine performance constraints. Attendees will include data experts, asset managers, and other industry professionals. The goal is to provide opportunities to network, discuss challenges, and gain practical insights on optimizing wind farm performance through data-driven
After many hours of research and speaking to those who helped make last year's event such a success, Windpower Monthly's Wind Data North America Forum is back BIGGER and BETTER than ever before on the 13-15th March in Houston, Texas.
We have listened to the communities feedback and tried to make this latest edition even more interactive to ensure there is no more 'death by powerpoint'!!
Therefore we have several panel discussions, round-tables and interactive audience participation sessions that will ensure your time is well spent in attendance at this industry leading event.
The document provides information on various topics related to IT fundamentals and professionals.
It discusses the importance of lifelong learning for IT professionals to keep their skills and knowledge up to date with changing technologies. It also talks about how IT impacts job skills and careers by enhancing existing skills and enabling career development with modern technologies.
The document then outlines some common roles in the IT profession like systems analyst, systems designer, programmer, and network administrators. It describes the basic responsibilities of each role.
Comparing and analyzing various method of data integration in big dataIRJET Journal
This document discusses various methods for integrating data from multiple heterogeneous sources in big data systems. It begins by defining data integration and explaining the challenges posed by big data's volume, velocity, variety and veracity. The document then examines different techniques for big data integration including Extract-Transform-Load (ETL), Enterprise Information Integration (EII), data migration, data consolidation, data propagation, data federation and change data capture. It analyzes the advantages and limitations of each technique. In conclusion, the document states that data integration is a major challenge and there is no single best method, as the appropriate solution depends on the specific use case and data characteristics.
The document summarizes a workshop aimed at integrating resources between several bioinformatics standards registries. The workshop agenda includes presentations from Identifiers.org, BioSharing, BMB Service Registry, EDAM ontology, and the BMB standards registry. Breakout sessions will identify overlaps and potential synergies between the registries, and define areas for collaboration. The goal is to reduce duplication of efforts and develop a common integration and development strategy across registries.
ELIXIR aims to establish a pan-European infrastructure for biological information to support life sciences research. It will do this by coordinating nodes that provide services and resources, establishing standards, and closing skills gaps. Key challenges include sustaining data and services, ensuring interoperability, and dealing with increasingly large datasets. ELIXIR is working on pilots and task forces to address issues like cloud computing, storage, authentication and authorization.
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Data Pioneers - Roland Haeve (Atos Nederland) - Big data in organisatiesMultiscope
This document discusses big data and its growth. It notes that in 2000, 2 exabytes of new data were produced, while in 2011 1.8 zettabytes of new data were produced. By 2020, data production is expected to grow 40 times to 35 zettabytes. The traditional 3-4 V's of big data (volume, velocity, variety, veracity) are expanding to 5-7 V's with the addition of viscosity, virality, and value. Examples of big data use cases include sensor data from CERN and jet engines, social media data from Twitter, and transactional data from Walmart. Atos provides big data analytics solutions and has implemented projects for smart metering,
CIKM2020 Keynote: Accelerating discovery science with an Internet of FAIR dat...Michel Dumontier
Biomedicine has always been a fertile and challenging domain for computational discovery science. Indeed, the existence of millions of scientific articles, thousands of databases, and hundreds of ontologies, offer exciting opportunities to reuse our collective knowledge, were we not stymied by incompatible formats, overlapping and incomplete vocabularies, unclear licensing, and heterogeneous access points. In this talk, I will discuss our work to create computational standards, platforms, and methods to wrangle knowledge into simple, but effective representations based on semantic web technologies that are maximally FAIR - Findable, Accessible, Interoperable, and Reuseable - and to further use these for biomedical knowledge discovery. But only with additional crucial developments will this emerging Internet of FAIR data and services enable automated scientific discovery on a global scale.
bio:
Dr. Michel Dumontier is the Distinguished Professor of Data Science at Maastricht University and co-founder of the FAIR (Findable, Accessible, Interoperable and Reusable) data principles. His research focuses on the development of computational methods for scalable and responsible discovery science. Dr. Dumontier obtained his BSc (Biochemistry) in 1998 from the University of Manitoba, and his PhD (Bioinformatics) in 2005 from the University of Toronto. Previously a faculty member at Carleton University in Ottawa and Stanford University in Palo Alto, Dr. Dumontier founded and directs the interfaculty Institute of Data Science at Maastricht University to develop sociotechnological systems for responsible data science by design. His work is supported through the Dutch National Research Agenda, the Netherlands Organisation for Scientific Research, Horizon 2020, the European Open Science Cloud, the US National Institutes of Health and a Marie-Curie Innovative Training Network. He is the editor-in-chief for the journal Data Science and is internationally recognized for his contributions in bioinformatics, biomedical informatics, and semantic technologies including ontologies and linked data.
This presentation was given on October 21, 2020 at CIKM2020.
IoT Analytics From Data to Decision Making- Trends & ChallengesDr. Mazlan Abbas
This document provides an overview of IoT analytics, trends, and challenges. It discusses how IoT has evolved from early connected devices in the 1980s to becoming more widespread today due to cheaper hardware, improved connectivity and software development. The document outlines how IoT data can be analyzed and transformed into useful information and insights to benefit businesses and society. It also discusses Malaysia's national policies and strategies to promote IoT adoption and the Fourth Industrial Revolution.
To meet today’s IT demands and your future business requirements you need to transform and innovate to create the IT environment of the future. An environment that speeds new products and services to market and enhances the way your people work together and communicate.
With Technology Transformation Services, we are a trusted partner for your transformation journey with proven service management and transformation skills from Atos and strong partnerships with leading technology suppliers.
We work with you to jointly define your future target operating model, we realize the transformation project, end-to-end, and provide you support and maintenance services, while you keep control of your operations.
More information: http://canopy-cloud.com
BigDataPilotDemoDays - I BiDaaS Application to the Manufacturing Sector WebinarBig Data Value Association
The new data-driven industrial revolution highlights the need for big data technologies to unlock the potential in various application domains. To this end, BDV PPP projects I-BiDaaS, BigDataStack, Track & Know and Policy Cloud deliver innovative technologies to address the emerging needs of data operations and applications. To fully exploit the sustainability and take full advantage of the developed technologies, the projects onboarded pilots that exhibit their applicability in a wide variety of sectors. In the Big Data Pilot Demo Days, the projects will showcase the developed and implemented technologies to interested end-users from the industry as well as technology providers, for further adoption.
IRJET- Scope of Big Data Analytics in Industrial DomainIRJET Journal
This document discusses the scope of big data analytics in industrial domains. It begins by defining big data and its key characteristics, known as the "7 V's" - volume, velocity, variety, variability, veracity, value, and volatility. It then discusses how big data is generated in various fields like social media, search engines, healthcare, online shopping, and stock exchanges. The document focuses on how big data analytics can be applied in industrial Internet of Things (IoT) to extract meaningful information from large and continuous data streams generated by IoT devices using machine learning techniques.
Life science requirements from e-infrastructure:initial results from a joint...Rafael C. Jimenez
This document summarizes a workshop on life science requirements from e-infrastructure held by BioMedBridges. It discusses how big data is affecting challenges like data growth outpacing storage and transfer speeds. Potential solutions proposed include improving storage, compression, networking, partitioning data, and computing approaches like clouds. The workshop concluded that e-infrastructures need to better understand research infrastructure problems, evaluate bottlenecks, discuss solutions, and define requirements as big data will change current approaches to data sharing and management.
This talk provides an overview of the key design principles for software for Humanitarian & Development Contexts through the study the development process of a production grade diagnostic support tool developed and deployed in 2011 (and still running).
Presented at a Beer & Design Talk (http://dbtalks.org/).
PhD Research Opportunities On Internet Of Things Logistics - PhdassistancePhD Assistance
As a result, the Internet of Things (IoT) has gotten a lot of attention, especially in recent years, because it has led to significant changes in lifestyle as well as emerging technologies like Machine-to-Machine (M2M) communication [2], context-aware computing, and Radio Frequency Identification (RFID). On an open, gigantic, self-configured, and dynamic internet-based network, these technologies make it possible to identify, connect, adapt, and localise, as well as track and monitor such objects as wearable devices, smart home appliances, intelligent vehicles and drones, and smart applications for industrial automation and logistics.
Learn More:https://bit.ly/3A2TzkV
Contact Us:
Website: https://www.phdassistance.com/
UK: +44 7537144372
India No:+91-9176966446
Email: info@phdassistance.com
This document is a report from the President's Information Technology Advisory Committee (PITAC) that provides recommendations for revolutionizing health care through information technology. The report finds that while the U.S. health care system is scientifically advanced, it still relies heavily on paper-based medical records, which are costly and error-prone. The report recommends a framework for a 21st century health care information infrastructure that includes electronic health records for all Americans, computerized clinical decision support, computerized provider order entry, and secure electronic health information exchange. The recommendations address technical challenges and barriers that require federal leadership to overcome.
IRJET-A Review: IoT and Cloud Computing for Future InternetIRJET Journal
This document reviews the integration of Internet of Things (IoT) and cloud computing for future internet applications. It discusses how IoT allows billions of devices to connect and communicate over networks, while cloud computing provides scalable backend processing and storage. However, there is currently no common framework integrating the two. The document argues that IP Multimedia Subsystem (IMS) communication platform provides the most suitable framework. It then reviews several related works discussing challenges and solutions in integrating IoT and cloud computing. Areas like healthcare, transportation, and environmental monitoring are discussed as domains that could benefit from an IoT and cloud computing integration.
Internet of Things (IoT) Applications and Trends Malaysia 2022Dr. Mazlan Abbas
The document provides an overview of Internet of Things (IoT) applications and trends in Malaysia in 2022. It discusses the history and development of IoT, key growth factors, common questions that IoT can help answer, examples of IoT use cases, components of an IoT system, analytics and insights from IoT data, maturity phases of IoT implementation, and policies supporting IoT adoption in Malaysia.
All the hype today is about Big Data and Analytics but many people seem to ignore the fact that if you didn't get the "Small Data" right there is absolutely no way that "Big Data" will add value to your organization - it will just add confusion
This document discusses computer and network security and how important it is to secure data and information stored on computers. Everything in modern life relies on computers, so securing data and networks is crucial, just like securing a physical bank with guards and cameras. Employees need to understand cybersecurity risks and procedures to correctly protect networks. Cyber attacks cost US businesses an average of $160,000 per security breach. Strengthening security, authentication, privacy and consumer protection is key to developing a safe information society with user confidence.
This document provides an overview of DRAXIS, a Greek company founded in 2004 that provides software engineering, ICT consulting, and digital preservation services. It has 14 employees and focuses on research and innovation projects, public procurement, and private sector work. Notable projects include ENORASIS, an integrated decision support system for irrigation management, and PERICLES, an EU-funded project to develop tools and processes for digital preservation. DRAXIS aims to ensure digital information remains accessible despite changing technologies and environments over time.
PhD Research Oppurtunities on Internet of things Logistic - PhD Assistance.pptxSureshKumar475860
As the Internet’s coverage expands, so does the number of physical items that may connect to it. By 2011, there were roughly 12.5 billion Internet-connected things, and with the arrival of 5G-Internet [3, it is expected to surpass 25 billion by the end of 2020 and 50 billion by the end of 2050 [1].
For #Enquiry:
website URL: https://bit.ly/3yPN4V5
India: +91 91769 66446
UK: +44 7537144372
Email: info@phdassistance.com
Sample work: https://bit.ly/3zFpGdL
Order now: https://www.phdassistance.com/order-now/
This document summarizes an upcoming wind energy conference focused on data management and operational efficiency. The conference will take place March 13-15, 2017 in Houston, Texas, with early registration savings available by January 27. Speakers will include representatives from energy companies, OEMs, and research organizations.
The conference will consist of keynote presentations, panel discussions, case studies, and workshops on topics such as: securing and using data for operational efficiency; big data analytics; predictive maintenance; and understanding turbine performance constraints. Attendees will include data experts, asset managers, and other industry professionals. The goal is to provide opportunities to network, discuss challenges, and gain practical insights on optimizing wind farm performance through data-driven
After many hours of research and speaking to those who helped make last year's event such a success, Windpower Monthly's Wind Data North America Forum is back BIGGER and BETTER than ever before on the 13-15th March in Houston, Texas.
We have listened to the communities feedback and tried to make this latest edition even more interactive to ensure there is no more 'death by powerpoint'!!
Therefore we have several panel discussions, round-tables and interactive audience participation sessions that will ensure your time is well spent in attendance at this industry leading event.
The document provides information on various topics related to IT fundamentals and professionals.
It discusses the importance of lifelong learning for IT professionals to keep their skills and knowledge up to date with changing technologies. It also talks about how IT impacts job skills and careers by enhancing existing skills and enabling career development with modern technologies.
The document then outlines some common roles in the IT profession like systems analyst, systems designer, programmer, and network administrators. It describes the basic responsibilities of each role.
Comparing and analyzing various method of data integration in big dataIRJET Journal
This document discusses various methods for integrating data from multiple heterogeneous sources in big data systems. It begins by defining data integration and explaining the challenges posed by big data's volume, velocity, variety and veracity. The document then examines different techniques for big data integration including Extract-Transform-Load (ETL), Enterprise Information Integration (EII), data migration, data consolidation, data propagation, data federation and change data capture. It analyzes the advantages and limitations of each technique. In conclusion, the document states that data integration is a major challenge and there is no single best method, as the appropriate solution depends on the specific use case and data characteristics.
Similar to Challenges of big data. Aims of the workshop. (20)
The document summarizes a workshop aimed at integrating resources between several bioinformatics standards registries. The workshop agenda includes presentations from Identifiers.org, BioSharing, BMB Service Registry, EDAM ontology, and the BMB standards registry. Breakout sessions will identify overlaps and potential synergies between the registries, and define areas for collaboration. The goal is to reduce duplication of efforts and develop a common integration and development strategy across registries.
ELIXIR aims to establish a pan-European infrastructure for biological information to support life sciences research. It will do this by coordinating nodes that provide services and resources, establishing standards, and closing skills gaps. Key challenges include sustaining data and services, ensuring interoperability, and dealing with increasingly large datasets. ELIXIR is working on pilots and task forces to address issues like cloud computing, storage, authentication and authorization.
Proteomics repositories integration using EUDAT resourcesRafael C. Jimenez
This document discusses plans to integrate proteomics data repositories using resources from the EUDAT data infrastructure. It describes replicating data from the ELIXIR repository PRIDE to EUDAT data centers for backup and access. This will test using EUDAT services like B2SAFE for replication and assigning persistent identifiers (PIDs) to datasets and files. The current status describes installing necessary software at participating sites and initial testing of replication from PRIDE to the Swedish National Bioinformatics Infrastructure data center. Future plans include syncing data changes and exploring data push/pull models between repositories.
ELIXIR is a European research infrastructure for biological information that aims to support life science research. It brings together major bioinformatics providers and is supported by 17 EU member states. ELIXIR works to safeguard biological data and build sustainable data services. It establishes a distributed infrastructure to handle the large growth of data and provides tools, services, and platforms to facilitate access and analysis of data. ELIXIR also develops standards and provides training to support computational biology. Key activities include establishing national nodes, technical task forces, and pilot projects in areas like cloud resources, data transfer, and linking distributed databases.
The document summarizes discussions from the Technical Coordinator Group (TCG) meeting. The TCG is an advisory body to the Heads of Nodes Committee and consists of technical experts from each ELIXIR Node. They discuss technical and scientific aspects of ELIXIR and identify best practices. The summary outlines the members of TCG, describes short term working groups led by technical coordinators on specific technical efforts, and provides updates on various ELIXIR task forces focusing on areas such as cloud, storage, authentication and authorization, service registry, and training.
- ELIXIR is a European research infrastructure for biological information that aims to facilitate life sciences research. It brings together over 100 bioinformatics service providers from 17 EU member states.
- The large increase in biological data from sources like DNA sequencing and mass spectrometry is outpacing storage capabilities and transfer speeds. This "data deluge" threatens to overwhelm existing infrastructure for data sharing and analysis in life sciences.
- Cloud computing provides potential solutions like more storage, data compression, keeping data close to computation, and provisioning researchers directly with storage and tools. ELIXIR and Google Cloud Platform UK discussed collaborating to host processed data, provide joint solutions for large data producers, and leverage Google Cloud capabilities to help
The European life-science data infrastructure: Data, Computing and Services ...Rafael C. Jimenez
The document provides an update on the European Life Sciences Infrastructure for Biological Information (ELIXIR). ELIXIR aims to establish a distributed infrastructure to handle the growing volume of life science data. It coordinates several national nodes that provide bioinformatics resources and services. Key recent activities include establishing legal agreements with member states, developing a technical coordinator network, and running pilot projects to test solutions and foster collaboration between nodes. Moving forward, priorities include further establishing the infrastructure and community, providing visible and useful services to users, and ensuring sustainable data management.
ELIXIR is a European research infrastructure for biological information that aims to facilitate life sciences research across Europe. It brings together life science resources from member countries to build a robust infrastructure for biological data. Individual organizations or countries cannot achieve this alone. ELIXIR establishes national nodes that leverage local strengths and priorities to deliver shared services through a distributed network. This allows the infrastructure to scale effectively with increasing data challenges. ELIXIR also works to improve data integration and interoperability across distributed resources through activities like developing standards and linking related communities.
The document discusses ELIXIR, the European Life Sciences Infrastructure for Biological Information. It provides information on ELIXIR's governance structure, member countries, and nodes. The nodes work with the central ELIXIR hub to develop and deliver bioinformatics services, resources, training, and more. The goal is to support life science research through integrated, interoperable data and tools.
This document discusses standards and data integration in life sciences databases. It notes that there are many diverse and dispersed databases in molecular biology. Standards facilitate data sharing, integration, and reuse by defining common data representation and description formats. However, integrating data across different sources is challenging due to variables like different interfaces, data types, and levels of information. Initiatives like ELIXIR and HUPO PSI aim to improve interoperability between life sciences resources through defining community standards and best practices.
The European Life Sciences Infrastructure for Biological Information (ELIXIR) coordinates biological data resources across Europe. It has several task forces working on key issues. This document summarizes discussions from the Technical Coordinators Group (TCG) meeting and provides updates from 7 task forces: Cloud, Storage, Authentication and Authorization (AAI), Service Registry, Metrics and Monitoring, Communication, and Website. Each section briefly describes the task force's goals, current work, and plans to coordinate with other groups to develop technical strategies for ELIXIR.
This document provides an introduction to programmatic access and web services for querying biological data resources. It discusses different types of query interfaces including graphical user interfaces, application programming interfaces, and web services. It then focuses on describing web services, including REST and SOAP web services. Examples are given of using PSICQUIC REST and SOAP services to query molecular interaction data. The document also introduces workflows and workflow management systems like Taverna and myExperiment that allow sharing and reusing workflows that combine multiple services.
ELIXIR is a European research infrastructure that aims to facilitate life sciences research by coordinating the development of sustainable bioinformatics services and tools across Europe. It is working on several pilot projects to improve data integration, access to cloud computing resources, and authentication and authorization processes for sensitive data. The document discusses ELIXIR's goals and various technical work streams and task forces focused on developing strategies and standards to address challenges in integrating distributed biological data resources.
Data submissions and archiving raw data in life sciences. A pilot with Proteo...Rafael C. Jimenez
European Life Sciences Infrastructure for Biological Information aims to provide data infrastructure for biological information sharing. It is running a pilot project with proteomics data to enable standardized submission and dissemination of data between major proteomics resources like PRIDE and PeptideAtlas. The pilot allows direct archiving of raw proteomics data in PRIDE for the first time. It uses the EUDAT program for data storage and access and ProteomeXchange as a framework to link proteomics databases together. The goal is to prepare for the rapid growth of life sciences data and keep up with processing and storing the large volumes of raw data being generated.
This document discusses challenges in life sciences data management and services provided by ELIXIR to address these challenges. ELIXIR aims to facilitate life sciences research by building a sustainable infrastructure for biological data in Europe. It coordinates several nodes across member states that provide specialized data services. ELIXIR is also running pilot projects to test integration of services, including providing cloud access to reference data and distributed authentication and access to clinical archives. Future challenges include sustaining funding and scaling to handle exponentially growing data volumes.
SASI, A lightweight standard for exchanging course informationRafael C. Jimenez
The document describes SASI (Scientific Announcement Standards Initiative), a lightweight standard for exchanging course information between life science organizations. It discusses problems with the current redundant and inconsistent annotation and distribution of announcements. The proposed solution is a centralized registry for annotation using agreed-upon standards, with decentralized distribution of announcements. This would allow automatic exchange of standardized announcements to reduce effort and improve discoverability.
This document provides an overview of the European Life Sciences Infrastructure for Biological Information (ELIXIR). ELIXIR aims to build a sustainable infrastructure for biological data by coordinating existing life science resources across Europe. It will provide services for data, tools, computing, standards, and training. ELIXIR is establishing pilot projects to test integration of these services and address challenges like data access and scale. A Technical Coordination Group leads implementation and coordinates task forces to develop each area of the infrastructure. ELIXIR also partners with e-infrastructures to utilize high-performance computing and networking resources. Its goal is to support life science research and translation to areas like medicine, the environment, and bioindustry.
The BioJS project is a collection of JavaScript components for presenting biological data. It started as a student project in 2011 and a component registry was released in 2012. The goals are to create reusable visualization components that are easy to install, configure and extend. Components are developed following common guidelines and released with documentation to be shared and enhanced by the community.
End-to-end pipeline agility - Berlin Buzzwords 2024Lars Albertsson
We describe how we achieve high change agility in data engineering by eliminating the fear of breaking downstream data pipelines through end-to-end pipeline testing, and by using schema metaprogramming to safely eliminate boilerplate involved in changes that affect whole pipelines.
A quick poll on agility in changing pipelines from end to end indicated a huge span in capabilities. For the question "How long time does it take for all downstream pipelines to be adapted to an upstream change," the median response was 6 months, but some respondents could do it in less than a day. When quantitative data engineering differences between the best and worst are measured, the span is often 100x-1000x, sometimes even more.
A long time ago, we suffered at Spotify from fear of changing pipelines due to not knowing what the impact might be downstream. We made plans for a technical solution to test pipelines end-to-end to mitigate that fear, but the effort failed for cultural reasons. We eventually solved this challenge, but in a different context. In this presentation we will describe how we test full pipelines effectively by manipulating workflow orchestration, which enables us to make changes in pipelines without fear of breaking downstream.
Making schema changes that affect many jobs also involves a lot of toil and boilerplate. Using schema-on-read mitigates some of it, but has drawbacks since it makes it more difficult to detect errors early. We will describe how we have rejected this tradeoff by applying schema metaprogramming, eliminating boilerplate but keeping the protection of static typing, thereby further improving agility to quickly modify data pipelines without fear.
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We will explore Vertex AI - Model Garden powered experiences, we are going to learn more about the integration of these generative AI APIs. We are going to see in action what the Gemini family of generative models are for developers to build and deploy AI-driven applications. Vertex AI includes a suite of foundation models, these are referred to as the PaLM and Gemini family of generative ai models, and they come in different versions. We are going to cover how to use via API to: - execute prompts in text and chat - cover multimodal use cases with image prompts. - finetune and distill to improve knowledge domains - run function calls with foundation models to optimize them for specific tasks. At the end of the session, developers will understand how to innovate with generative AI and develop apps using the generative ai industry trends.
4th Modern Marketing Reckoner by MMA Global India & Group M: 60+ experts on W...Social Samosa
The Modern Marketing Reckoner (MMR) is a comprehensive resource packed with POVs from 60+ industry leaders on how AI is transforming the 4 key pillars of marketing – product, place, price and promotions.
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Embark on a captivating financial journey with 'Financial Odyssey,' our hackathon project. Delve deep into the past performance of two companies as we employ an array of financial statement analysis techniques. From ratio analysis to trend analysis, uncover insights crucial for informed decision-making in the dynamic world of finance."
Predictably Improve Your B2B Tech Company's Performance by Leveraging DataKiwi Creative
Harness the power of AI-backed reports, benchmarking and data analysis to predict trends and detect anomalies in your marketing efforts.
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From metrics to track to data habits to pick up, enhance your reporting for powerful insights to improve your B2B tech company's marketing.
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This is the webinar recording from the June 2024 HubSpot User Group (HUG) for B2B Technology USA.
Watch the video recording at https://youtu.be/5vjwGfPN9lw
Sign up for future HUG events at https://events.hubspot.com/b2b-technology-usa/
Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You...Aggregage
This webinar will explore cutting-edge, less familiar but powerful experimentation methodologies which address well-known limitations of standard A/B Testing. Designed for data and product leaders, this session aims to inspire the embrace of innovative approaches and provide insights into the frontiers of experimentation!
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data LakeWalaa Eldin Moustafa
Dynamic policy enforcement is becoming an increasingly important topic in today’s world where data privacy and compliance is a top priority for companies, individuals, and regulators alike. In these slides, we discuss how LinkedIn implements a powerful dynamic policy enforcement engine, called ViewShift, and integrates it within its data lake. We show the query engine architecture and how catalog implementations can automatically route table resolutions to compliance-enforcing SQL views. Such views have a set of very interesting properties: (1) They are auto-generated from declarative data annotations. (2) They respect user-level consent and preferences (3) They are context-aware, encoding a different set of transformations for different use cases (4) They are portable; while the SQL logic is only implemented in one SQL dialect, it is accessible in all engines.
#SQL #Views #Privacy #Compliance #DataLake
1. E-Infrastructure support for the life sciences:
Preparing for the data deluge
Rafael Jimenez
ELIXIR CTO
15 May, 2014
BioMedBridges
Challenges of big data
Aims of the workshop
4. How does it affect data
sharing in life sciences?
5. Large-scale data sharing in the life sciences
http://www.mrc.ac.uk/Utilities/Documentrecord/index.htm?d=MRC002552
6. How does big data affect data sharing?
http://www.mrc.ac.uk/Utilities/Documentrecord/index.htm?d=MRC002552
Storage Storage
Storage
Storage
7. How does big data affect data sharing?
http://www.mrc.ac.uk/Utilities/Documentrecord/index.htm?d=MRC002552
Transfer
Transfer Transfer
Transfer
Transfer
8. How does big data affect data sharing?
http://www.mrc.ac.uk/Utilities/Documentrecord/index.htm?d=MRC002552
Compute Compute
Compute
Compute
9.
10. Data growth
how to reduce the IT budget shortfall?
http://www.eweek.com/
12. Problems of big data
http://www.mrc.ac.uk/Utilities/Documentrecord/index.htm?d=MRC002552
Compute Compute
Compute
Storage Compute Transfer
Transfer
Transfer Transfer
Transfer
Storage Storage
Storage
What How Where
17. Data sharing
The casual approach ‘data on my disk and
available to anyone who requests it'
Submission to data repositories
Will big data affect data deposition?
19. Knowledge exchange workshop
Discussion of big data challenges in life sciences
Focus on few representative domains
Looking 5 years ahead
Jointly identify potential solutions to our problems
Data
ICT
e-infrastructures
LS
life sciencesPhysical facilities
Scientific information
Transfer
Computation
Storage