This document discusses methods and tools for privacy and data protection engineering compliance with GDPR. It presents an overview of the PDP4E project which aims to provide engineers with privacy and data protection tools aligned with their needs and mindset. The contributions from different disciplines like risk management, requirements engineering, model-driven design, and assurance are explained. A methodological approach using complementary modeling views from these disciplines is proposed to systematically address privacy and data protection throughout the engineering lifecycle.
The document outlines a method and tools for privacy and data protection by design to help engineers comply with GDPR, including a personal data detector to identify personal data, a privacy model-driven designer to integrate privacy into system models, and a code validation module to verify privacy properties in code. It also discusses how the tools interact and support the overall method, and provides updates on progress and future perspectives of the work.
This document summarizes a presentation on the PDP4E-Req tool, which assists engineers in managing GDPR requirements. The tool implements a methodology for requirements engineering targeting privacy and data protection. It includes features such as a dedicated profile implementing GDPR concepts, transformation of functional requirements into a requirements data flow diagram and personal information diagram, validation of models for correctness, and automatic generation of GDPR and data protection requirements with traceability. The tool aims to provide a correct-by-construction approach to eliciting GDPR requirements.
This document proposes a method and tools to help companies demonstrate compliance with the General Data Protection Regulation (GDPR) through privacy and data protection engineering. The method involves modeling GDPR and related standards, developing assurance cases to link evidence to requirements, and managing evidence accountability. A tool called Eclipse OpenCert is presented to guide and partially automate the method. The goal is to provide a systematic way to capture evidence, ensure its traceability to requirements and artifacts, and make a clear argument for compliance.
This document discusses methods and tools for engineers to comply with the General Data Protection Regulation (GDPR) through privacy and data protection engineering. It notes that while engineers are not privacy experts, they need privacy methods integrated into their software development processes. The PDP4E project aims to provide a toolkit to seamlessly include privacy into engineering practices and development lifecycles. It outlines modeling approaches and tools like metamodels, risk management tools, and model-driven design techniques to help engineers address privacy throughout the development process.
This document discusses the challenges of managing risks in complex, dynamic projects and systems. It introduces Beawre, a company that provides AI-driven risk management tools to help customers continuously monitor risks in real-time across their organizations and complex projects. Beawre's tools simplify complexity, enhance awareness of risks, and enable continuous learning to control risks. The document outlines Beawre's approach, team experience, and vision to disrupt risk management technology through near real-time continuous risk control powered by AI.
The document summarizes a method and tools for GDPR compliance called PDP4E-Req. It introduces issues with an existing method called ProPAn and proposes improvements in PDP4E-Req to address those issues. PDP4E-Req aims to harmonize documentation, reduce overhead, and achieve broader compliance. It introduces new data structures like Requirements Data Flow Diagrams and Personal Information Diagrams to model requirements and personal data flows in a structured way. The method and tools are supported in Papyrus for requirements engineering.
This document describes methods and tools for GDPR compliance through privacy and data protection engineering. It outlines a PDPbD framework that involves developing data-oriented and process-oriented models, then applying built-in privacy techniques to these models. For the data model, it discusses using k-anonymity to verify personal data is adequate and relevant for processing purposes. For the process model, it provides a consent pattern to integrate GDPR requirements and demonstrate lawful processing based on consent. The overall framework is intended to guide privacy-by-design across the system development lifecycle.
The document outlines a method and tools for privacy and data protection by design to help engineers comply with GDPR, including a personal data detector to identify personal data, a privacy model-driven designer to integrate privacy into system models, and a code validation module to verify privacy properties in code. It also discusses how the tools interact and support the overall method, and provides updates on progress and future perspectives of the work.
This document summarizes a presentation on the PDP4E-Req tool, which assists engineers in managing GDPR requirements. The tool implements a methodology for requirements engineering targeting privacy and data protection. It includes features such as a dedicated profile implementing GDPR concepts, transformation of functional requirements into a requirements data flow diagram and personal information diagram, validation of models for correctness, and automatic generation of GDPR and data protection requirements with traceability. The tool aims to provide a correct-by-construction approach to eliciting GDPR requirements.
This document proposes a method and tools to help companies demonstrate compliance with the General Data Protection Regulation (GDPR) through privacy and data protection engineering. The method involves modeling GDPR and related standards, developing assurance cases to link evidence to requirements, and managing evidence accountability. A tool called Eclipse OpenCert is presented to guide and partially automate the method. The goal is to provide a systematic way to capture evidence, ensure its traceability to requirements and artifacts, and make a clear argument for compliance.
This document discusses methods and tools for engineers to comply with the General Data Protection Regulation (GDPR) through privacy and data protection engineering. It notes that while engineers are not privacy experts, they need privacy methods integrated into their software development processes. The PDP4E project aims to provide a toolkit to seamlessly include privacy into engineering practices and development lifecycles. It outlines modeling approaches and tools like metamodels, risk management tools, and model-driven design techniques to help engineers address privacy throughout the development process.
This document discusses the challenges of managing risks in complex, dynamic projects and systems. It introduces Beawre, a company that provides AI-driven risk management tools to help customers continuously monitor risks in real-time across their organizations and complex projects. Beawre's tools simplify complexity, enhance awareness of risks, and enable continuous learning to control risks. The document outlines Beawre's approach, team experience, and vision to disrupt risk management technology through near real-time continuous risk control powered by AI.
The document summarizes a method and tools for GDPR compliance called PDP4E-Req. It introduces issues with an existing method called ProPAn and proposes improvements in PDP4E-Req to address those issues. PDP4E-Req aims to harmonize documentation, reduce overhead, and achieve broader compliance. It introduces new data structures like Requirements Data Flow Diagrams and Personal Information Diagrams to model requirements and personal data flows in a structured way. The method and tools are supported in Papyrus for requirements engineering.
This document describes methods and tools for GDPR compliance through privacy and data protection engineering. It outlines a PDPbD framework that involves developing data-oriented and process-oriented models, then applying built-in privacy techniques to these models. For the data model, it discusses using k-anonymity to verify personal data is adequate and relevant for processing purposes. For the process model, it provides a consent pattern to integrate GDPR requirements and demonstrate lawful processing based on consent. The overall framework is intended to guide privacy-by-design across the system development lifecycle.
This document presents PDP-ReqLite, a lightweight approach for eliciting privacy and data protection requirements from functional requirements. It aims to improve upon existing methods like ProPAn by reducing redundancy, simplifying documentation, and better aligning with legal standards like GDPR. PDP-ReqLite introduces Requirements Data Flow Diagrams and Personal Information Diagrams to model requirements and private data flows. A case study applying the method to a smart grid system is also described. Future work includes expanding the privacy requirement taxonomies, applying the method to more domains, and developing tools to help navigate and prioritize generated requirements.
The document describes the ProPAn method for privacy requirements engineering. It discusses:
- ProPAn uses diagrams and taxonomies to systematically elicit and document privacy requirements aligned with GDPR and other standards.
- It generates requirement candidates by analyzing diagrams of personal information flows and available information using privacy goal taxonomies.
- The method has two phases - identifying privacy-relevant information flows, and generating privacy requirement candidates informed by the analyses.
- While ProPAn supports eliciting privacy requirements, its diagrams may contain redundancy and not fully cover GDPR provisions. The document proposes improving ProPAn's interpretability and structure.
This document summarizes the results of Work Package 6 which developed methods and tools for GDPR compliance through privacy engineering. The key results include:
1) Demonstrating the feasibility of using assurance principles from safety engineering for privacy engineering and modelling privacy regulations as reference frameworks.
2) Developing a tool-supported method for handling multiple privacy reference frameworks using mapping models.
3) Providing reusable privacy assurance patterns contained in a knowledge base, along with reference framework models and mapping models between standards.
4) Releasing tool features and an open source knowledge base to support the privacy assurance method.
Main Description of project PDP4E of H2020 which tackle the compliance of GDPR through engineering by providing methods and tools to achieve this goal.
This document discusses establishing a community and roadmap for a "Privacy-by-Model" initiative. It proposes forming task forces to develop an operational governance model, privacy-by-model processes, and initial application privacy protection and engineering projects. The roadmap outlines working towards commitments and published models by end of 2021, with an announcement at CPDP 2022. The goal is an open repository of privacy models for applications and engineering practices, developed and managed collaboratively.
The project “empoWering prIvacy and securiTy in non-trusteD envirOnMents” (WITDOM for short) is a three-year multi-disciplinary, Research and Innovation Action co-funded by the European Commission in the context of Horizon 2020, the EU Framework Programme for Research and Innovation.
WITDOM aims at protecting the privacy and security of data outsourced to untrusted ICT providers, such as clouds. By protecting sensitive data cryptographically and by applying the privacy-by-design paradigms, WITDOM will provide a holistic framework that addresses end-to-end security for sensitive data. WITDOM's data protection methods will be tailored to the risks associated with different classes of data, so that users remain immune to the threats, vulnerabilities, and risks that may affect remote data processing.
Privacy preserving computing and secure multi party computationUlf Mattsson
Ulf Mattsson is the Chief Security Strategist at Protegrity and has extensive experience in data encryption, tokenization, data privacy tools and security compliance. The document discusses several use cases for secure multi-party computation and homomorphic encryption including: sharing financial data between institutions while preserving privacy, using retail transaction data for secondary purposes like advertising while protecting privacy, and enabling internal data sharing within a bank for analytics while complying with regulations. It also provides overviews of important privacy-preserving computation techniques like homomorphic encryption, secure multi-party computation, differential privacy and the growth of the homomorphic encryption market.
ISACA Houston - How to de-classify data and rethink transfer of data between ...Ulf Mattsson
The document discusses data privacy regulations and international standards for transferring personal data between the US and EU after key court rulings invalidated the EU-US Privacy Shield and placed additional requirements on standard contractual clauses. It provides an overview of Privacy Shield and Schrems II, recommendations for focusing on accessible data, identifying personal data, governance, ongoing protection and audits to protect data after Privacy Shield. It also discusses the impact of GDPR and differences between pseudonymization under GDPR versus prior definitions.
Attorneys Agnes Juang, Arsen Kourinian and, Mauricio Uribe hosted a virtual discussion interactive webinar regarding strategic considerations for data privacy, security and IP due diligence
ISSA Atlanta - Emerging application and data protection for multi cloudUlf Mattsson
Personal data privacy will be the most prominent issue affecting how businesses gather, store, process, and disclose data in public cloud. Businesses have been inundated with information on what recent privacy laws like GDPR and CCPA require, but many are still trying to figure out how to comply with them on a practical level. Many companies are focusing on data privacy from the legal and security side, which are foundational, but are missing the focus on data. The good news is that these data privacy regulations compel businesses to get a handle on personal data — how they get it, where they get it from, which systems process it, where it goes internally and externally, etc. In other words, the new norms of data privacy require proactive data management, which enables organizations to extract real business value from their data, improve the customer experience, streamline internal processes, and better understand their customers.
The new Verizon Data Breach Investigations Report (DBIR) provides perspectives on how Criminals simply shift their focus and adapt their tactics to locate and steal the data they find to be of most value.
This session will discuss Emerging Application and Data Protection for Multi-cloud and review Differential privacy, Tokenization, Homomorphic encryption, and Privacy-preserving computation.
• Learn New Application and Data Protection Strategies
• Learn Advancements in Machine Learning
• Learn how to develop a roadmap for EU GDPR compliance
• Learn Data-centric Security for Digital Business
• Learn Where Data Security and Value of Data Meet in the Cloud
• Learn Data Protection On-premises, and in Public and Private Clouds
• Learn about Emerging Application and Data Protection for Multi-cloud
• Learn about Emerging Data Privacy and Security for Cloud
• Learn about New Enterprise Application and Data Security Challenges
• Learn about Differential privacy, Tokenization, Homomorphic encryption, and Privacy-preserving computation
Unlock the potential of data security 2020Ulf Mattsson
Explore challenges of managing and protecting data. We'll share best practices on establishing the right balance between privacy, security, and compliance
Partners Dan Altman and Mauricio Uribe gave an informative presentation of strategic considerations regarding non-disclosure agreements and confidentiality policies. They provided insights related to key terms in non-disclosure agreements and best practices for negotiating non-disclosure agreements. The presentation was summarized in Japanese by Patent Scientist, Tomo Fujiwara.
Speakers: Dan Altman, Mauricio Uribe, Tomo Fujiwara
Open Research Data in H2020 and the Data Management plans requirements (Laser...OpenAIRE
This document summarizes an presentation about open research data requirements in Horizon 2020 projects. It discusses that open access to publications and research data is required in H2020. It outlines the requirements of the Open Research Data Pilot, including having a Data Management Plan and depositing data in a repository. It also discusses what needs to be included in a Data Management Plan based on the H2020 template, such as a data summary, addressing FAIR data principles, and provisions for data storage, access, and preservation. Compliance with open access policies is important for H2020 funding.
Evolving regulations are changing the way we think about tools and technologyUlf Mattsson
Discover the latest in RegTech and stay up-to-date on compliance tools and best practices.
The move to digital has meant that many organizations have had to rethink legacy systems.
They need to put the customer first, focus on the Customer Experience and Digital Experience Platforms.
They also need to understand the latest in RegTech and solutions for hybrid cloud.
We will discuss Regtech for the financial industry and related technologies for compliance.
We will discuss new International Standards, tools and best practices for financial institutions including PCI v4, FFIEC, NACHA, NIST, GDPR and CCPA.
We will discuss related technologies for Data Security and Privacy, including data de-identification, encryption, tokenization and the new API Economy.
New enterprise application and data security challenges and solutions apr 2...Ulf Mattsson
Ulf Mattsson presented on new enterprise application and data security challenges and solutions. He discussed how 20% of organizations are expected to budget for quantum computing projects by 2023 compared to less than 1% currently. He also summarized that web application security is needed based on Verizon's 2018 breach report showing many breaches originate from applications. Finally, he emphasized the importance of integrating security into the application development process from the beginning using approaches like SecDevOps and DevSecOps.
IEEE Education Society: Reshaping the Future of Technology Manuel Castro
Manuel Gericota (Instituto Politecnico Porto, Portugal) and Javier García-Zubía (University of Deusto, Bilbao, Spain), chair the meeting from the Spanish and Portuguese Chapter of the IEEE Education Society, linked to the webinar video at
https://www.youtube.com/watch?v=Uab7f-LCYuE
Although all topics are related to computing, different perspectives and application areas will guarantee that a great diversity of interesting points will be covered during the meeting. The presentation of Manuel Castro and Unai Hernández-Jayo will be centered around the Internet of Things (IoT) (Manuel in education and Unai in its application to autonomous cars), the one from Manuel Caeiro will be focused in wearables, electronic devices and systems incorporated in some part of our body or clothes, and the last one from Manuel Gericota will explain why Field Programmable Gate Arrays (FPGAs) are being (again) one of the current hot topics.
A brief introduction about the MOOC - Foundations to Open Education and OERs repositories, is presented.
"Towards Value-Centric Big Data" e-SIDES Workshop - "Privacy Preserving Techn...e-SIDES.eu
The following presentation was given by Tjerk Timan, Policy Ananlyst from TNO and BDVA, during the e-SIDES workshop "Towards Value-Centric Big Data" held on April 2, 2019 in Brussels.
This document presents PDP-ReqLite, a lightweight approach for eliciting privacy and data protection requirements from functional requirements. It aims to improve upon existing methods like ProPAn by reducing redundancy, simplifying documentation, and better aligning with legal standards like GDPR. PDP-ReqLite introduces Requirements Data Flow Diagrams and Personal Information Diagrams to model requirements and private data flows. A case study applying the method to a smart grid system is also described. Future work includes expanding the privacy requirement taxonomies, applying the method to more domains, and developing tools to help navigate and prioritize generated requirements.
The document describes the ProPAn method for privacy requirements engineering. It discusses:
- ProPAn uses diagrams and taxonomies to systematically elicit and document privacy requirements aligned with GDPR and other standards.
- It generates requirement candidates by analyzing diagrams of personal information flows and available information using privacy goal taxonomies.
- The method has two phases - identifying privacy-relevant information flows, and generating privacy requirement candidates informed by the analyses.
- While ProPAn supports eliciting privacy requirements, its diagrams may contain redundancy and not fully cover GDPR provisions. The document proposes improving ProPAn's interpretability and structure.
This document summarizes the results of Work Package 6 which developed methods and tools for GDPR compliance through privacy engineering. The key results include:
1) Demonstrating the feasibility of using assurance principles from safety engineering for privacy engineering and modelling privacy regulations as reference frameworks.
2) Developing a tool-supported method for handling multiple privacy reference frameworks using mapping models.
3) Providing reusable privacy assurance patterns contained in a knowledge base, along with reference framework models and mapping models between standards.
4) Releasing tool features and an open source knowledge base to support the privacy assurance method.
Main Description of project PDP4E of H2020 which tackle the compliance of GDPR through engineering by providing methods and tools to achieve this goal.
This document discusses establishing a community and roadmap for a "Privacy-by-Model" initiative. It proposes forming task forces to develop an operational governance model, privacy-by-model processes, and initial application privacy protection and engineering projects. The roadmap outlines working towards commitments and published models by end of 2021, with an announcement at CPDP 2022. The goal is an open repository of privacy models for applications and engineering practices, developed and managed collaboratively.
The project “empoWering prIvacy and securiTy in non-trusteD envirOnMents” (WITDOM for short) is a three-year multi-disciplinary, Research and Innovation Action co-funded by the European Commission in the context of Horizon 2020, the EU Framework Programme for Research and Innovation.
WITDOM aims at protecting the privacy and security of data outsourced to untrusted ICT providers, such as clouds. By protecting sensitive data cryptographically and by applying the privacy-by-design paradigms, WITDOM will provide a holistic framework that addresses end-to-end security for sensitive data. WITDOM's data protection methods will be tailored to the risks associated with different classes of data, so that users remain immune to the threats, vulnerabilities, and risks that may affect remote data processing.
Privacy preserving computing and secure multi party computationUlf Mattsson
Ulf Mattsson is the Chief Security Strategist at Protegrity and has extensive experience in data encryption, tokenization, data privacy tools and security compliance. The document discusses several use cases for secure multi-party computation and homomorphic encryption including: sharing financial data between institutions while preserving privacy, using retail transaction data for secondary purposes like advertising while protecting privacy, and enabling internal data sharing within a bank for analytics while complying with regulations. It also provides overviews of important privacy-preserving computation techniques like homomorphic encryption, secure multi-party computation, differential privacy and the growth of the homomorphic encryption market.
ISACA Houston - How to de-classify data and rethink transfer of data between ...Ulf Mattsson
The document discusses data privacy regulations and international standards for transferring personal data between the US and EU after key court rulings invalidated the EU-US Privacy Shield and placed additional requirements on standard contractual clauses. It provides an overview of Privacy Shield and Schrems II, recommendations for focusing on accessible data, identifying personal data, governance, ongoing protection and audits to protect data after Privacy Shield. It also discusses the impact of GDPR and differences between pseudonymization under GDPR versus prior definitions.
Attorneys Agnes Juang, Arsen Kourinian and, Mauricio Uribe hosted a virtual discussion interactive webinar regarding strategic considerations for data privacy, security and IP due diligence
ISSA Atlanta - Emerging application and data protection for multi cloudUlf Mattsson
Personal data privacy will be the most prominent issue affecting how businesses gather, store, process, and disclose data in public cloud. Businesses have been inundated with information on what recent privacy laws like GDPR and CCPA require, but many are still trying to figure out how to comply with them on a practical level. Many companies are focusing on data privacy from the legal and security side, which are foundational, but are missing the focus on data. The good news is that these data privacy regulations compel businesses to get a handle on personal data — how they get it, where they get it from, which systems process it, where it goes internally and externally, etc. In other words, the new norms of data privacy require proactive data management, which enables organizations to extract real business value from their data, improve the customer experience, streamline internal processes, and better understand their customers.
The new Verizon Data Breach Investigations Report (DBIR) provides perspectives on how Criminals simply shift their focus and adapt their tactics to locate and steal the data they find to be of most value.
This session will discuss Emerging Application and Data Protection for Multi-cloud and review Differential privacy, Tokenization, Homomorphic encryption, and Privacy-preserving computation.
• Learn New Application and Data Protection Strategies
• Learn Advancements in Machine Learning
• Learn how to develop a roadmap for EU GDPR compliance
• Learn Data-centric Security for Digital Business
• Learn Where Data Security and Value of Data Meet in the Cloud
• Learn Data Protection On-premises, and in Public and Private Clouds
• Learn about Emerging Application and Data Protection for Multi-cloud
• Learn about Emerging Data Privacy and Security for Cloud
• Learn about New Enterprise Application and Data Security Challenges
• Learn about Differential privacy, Tokenization, Homomorphic encryption, and Privacy-preserving computation
Unlock the potential of data security 2020Ulf Mattsson
Explore challenges of managing and protecting data. We'll share best practices on establishing the right balance between privacy, security, and compliance
Partners Dan Altman and Mauricio Uribe gave an informative presentation of strategic considerations regarding non-disclosure agreements and confidentiality policies. They provided insights related to key terms in non-disclosure agreements and best practices for negotiating non-disclosure agreements. The presentation was summarized in Japanese by Patent Scientist, Tomo Fujiwara.
Speakers: Dan Altman, Mauricio Uribe, Tomo Fujiwara
Open Research Data in H2020 and the Data Management plans requirements (Laser...OpenAIRE
This document summarizes an presentation about open research data requirements in Horizon 2020 projects. It discusses that open access to publications and research data is required in H2020. It outlines the requirements of the Open Research Data Pilot, including having a Data Management Plan and depositing data in a repository. It also discusses what needs to be included in a Data Management Plan based on the H2020 template, such as a data summary, addressing FAIR data principles, and provisions for data storage, access, and preservation. Compliance with open access policies is important for H2020 funding.
Evolving regulations are changing the way we think about tools and technologyUlf Mattsson
Discover the latest in RegTech and stay up-to-date on compliance tools and best practices.
The move to digital has meant that many organizations have had to rethink legacy systems.
They need to put the customer first, focus on the Customer Experience and Digital Experience Platforms.
They also need to understand the latest in RegTech and solutions for hybrid cloud.
We will discuss Regtech for the financial industry and related technologies for compliance.
We will discuss new International Standards, tools and best practices for financial institutions including PCI v4, FFIEC, NACHA, NIST, GDPR and CCPA.
We will discuss related technologies for Data Security and Privacy, including data de-identification, encryption, tokenization and the new API Economy.
New enterprise application and data security challenges and solutions apr 2...Ulf Mattsson
Ulf Mattsson presented on new enterprise application and data security challenges and solutions. He discussed how 20% of organizations are expected to budget for quantum computing projects by 2023 compared to less than 1% currently. He also summarized that web application security is needed based on Verizon's 2018 breach report showing many breaches originate from applications. Finally, he emphasized the importance of integrating security into the application development process from the beginning using approaches like SecDevOps and DevSecOps.
IEEE Education Society: Reshaping the Future of Technology Manuel Castro
Manuel Gericota (Instituto Politecnico Porto, Portugal) and Javier García-Zubía (University of Deusto, Bilbao, Spain), chair the meeting from the Spanish and Portuguese Chapter of the IEEE Education Society, linked to the webinar video at
https://www.youtube.com/watch?v=Uab7f-LCYuE
Although all topics are related to computing, different perspectives and application areas will guarantee that a great diversity of interesting points will be covered during the meeting. The presentation of Manuel Castro and Unai Hernández-Jayo will be centered around the Internet of Things (IoT) (Manuel in education and Unai in its application to autonomous cars), the one from Manuel Caeiro will be focused in wearables, electronic devices and systems incorporated in some part of our body or clothes, and the last one from Manuel Gericota will explain why Field Programmable Gate Arrays (FPGAs) are being (again) one of the current hot topics.
A brief introduction about the MOOC - Foundations to Open Education and OERs repositories, is presented.
"Towards Value-Centric Big Data" e-SIDES Workshop - "Privacy Preserving Techn...e-SIDES.eu
The following presentation was given by Tjerk Timan, Policy Ananlyst from TNO and BDVA, during the e-SIDES workshop "Towards Value-Centric Big Data" held on April 2, 2019 in Brussels.
Presentation: RETHINKbig, by Consuelo Gonzalo Martin, Universidad Politecnica de Madrid (Spain), at the European Data Economy Workshop taking place back to back to SEMANTiCS2015 on 15 September 2015 in Vienna
This document provides information about the DAPSI Open Call #1 webinar for applicants. It discusses the DAPSI project which aims to foster research in data portability through funding and services for researchers, SMEs, and startups. The incubation program will support up to 50 third parties with up to 150k Euros each over 9-10 months. The document reviews eligibility criteria, the evaluation process, and timeline for the first open call with an April 22 deadline. Infrastructure and tools are also described, including a support ticketing system, training resources, and free accounts on the FIWARE Lab cloud platform.
9th International Conference on Information Theory (IT 2020)ijcsity
9th International Conference on Information Theory (IT 2020) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Information Theory. The goal of this conference is to bring together researchers and practitioners from academia and industry to focus on understanding modern Information Theory concepts and establishing new collaborations in these areas. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of Information Theory and applications.
Call for papers - 7th International Conference on Signal, Image Processing an...sipij
7th International Conference on Signal, Image Processing and Multimedia (SPM 2020) is a forum for presenting new advances and research results in the fields of Signal, Image Processing and Multimedia. The conference will bring together leading researchers, engineers and scientists in the domain of interest from around the world. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences.
Open Innovation for the Digital Shift - A collection of case studies in the I...Alberto Minin
This document discusses open innovation case studies of companies implementing open innovation strategies. It profiles Primo1D, a startup spun off from a research center to commercialize an electronic thread technology. Primo1D uses open innovation models like licensing the technology, collaborating with customers on product development, and outsourcing R&D. The document outlines Primo1D's technology, product applications, ecosystem partners, industrialization plan, and how it engaged in a push-pull process of technology development and market identification.
I4MS AND SAE: OVERVIEW OF UPCOMING OPEN CALLS AND SERVICESI4MS_eu
Alexandra Tasigiorgou, Technologies and Systems for Digitising Industry Unit, European Commission
Mayte Carracedo, FundingBox, ES
Rainer Guenzler, Hahn-Schickard, DE
Oana Radu, Competitive Electronics Industry Unit, European Commission
Le 28 septembre dernier, le NCP-Wallonie organisait une séance d'information sur le contenu des appels 2018 du programme Horizon 2020.
Découvrez la présentation générale des aspects légaux, financiers et transversaux, ainsi que les présentations de certains ateliers thématiques, liés aux appels de Work Programmes 2018 :
- Big Data & Contenu & Photonics & MN Electronics ;
- Internet Technologies, IoT, Industry 4.0 & Robotics ;
- Energies vertes & smart cities ;
- Efficacité énergétique (bâtiment et industrie) ;
- Climate action, environment, resource efficiency and raw materials.
8th International Conference of Managing Information Technology (CMIT 2020)IJMIT JOURNAL
8th International Conference of Managing Information Technology (CMIT 2020) will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the area advanced Computer Science and information technology. It will also serve to facilitate the exchange of information between researchers and industry professionals to discuss the latest issues and advancement in the area of advanced CS & IT. Core areas of advanced IT and multi-disciplinary and its applications will be covered during the conferences. to discuss the latest issues and advancement in the area of advanced CS & IT. Core areas of advanced IT and multi-disciplinary and its applications will be covered during the conferences.
9th International Conference on Information Theory (IT 2020)ijcsity
The 9th International Conference on Information Theory (IT 2020) will be held March 28-29, 2020 in Sydney, Australia. The conference aims to bring together researchers from academia and industry to share knowledge and results in information theory, methodology, and applications. Authors are invited to submit original papers by December 29, 2019 on topics related to information theory including Shannon theory, coding, signal processing, communications, and emerging applications. Selected papers will be published in the conference proceedings and in special issues of related journals.
8th International Conference of Managing Information Technology (CMIT 2020)Zac Darcy
8th International Conference of Managing Information Technology (CMIT 2020) will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the area advanced Computer Science and information technology. It will also serve to facilitate the exchange of information between researchers and industry professionals to discuss the latest issues and advancement in the area of advanced CS & IT. Core areas of advanced IT and multi-disciplinary and its applications will be covered during the conferences. to discuss the latest issues and advancement in the area of advanced CS & IT. Core areas of advanced IT and multi-disciplinary and its applications will be covered during the conferences.
Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in Computer Science & Information Technology.
8th International Conference of Managing Information Technology (CMIT 2020)ijmvsc
8th International Conference of Managing Information Technology (CMIT 2020) will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the area advanced Computer Science and information technology. It will also serve to facilitate the exchange of information between researchers and industry professionals to discuss the latest issues and advancement in the area of advanced CS & IT. Core areas of advanced IT and multi-disciplinary and its applications will be covered during the conferences. to discuss the latest issues and advancement in the area of advanced CS & IT. Core areas of advanced IT and multi-disciplinary and its applications will be covered during the conferences.
Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in Computer Science & Information Technology.
8th International Conference of Managing Information Technology (CMIT 2020)ijmvsc
8th International Conference of Managing Information Technology (CMIT 2020) will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the area advanced Computer Science and information technology. It will also serve to facilitate the exchange of information between researchers and industry professionals to discuss the latest issues and advancement in the area of advanced CS & IT. Core areas of advanced IT and multi-disciplinary and its applications will be covered during the conferences. to discuss the latest issues and advancement in the area of advanced CS & IT. Core areas of advanced IT and multi-disciplinary and its applications will be covered during the conferences.
Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in Computer Science & Information Technology.
8th International Conference of Managing Information Technology (CMIT 2020)IJMIT JOURNAL
8th International Conference of Managing Information Technology (CMIT 2020) will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the area advanced Computer Science and information technology. It will also serve to facilitate the exchange of information between researchers and industry professionals to discuss the latest issues and advancement in the area of advanced CS & IT. Core areas of advanced IT and multi-disciplinary and its applications will be covered during the conferences. to discuss the latest issues and advancement in the area of advanced CS & IT. Core areas of advanced IT and multi-disciplinary and its applications will be covered during the conferences.
9th International Conference on Information Theory (IT 2020)ijcsity
The 9th International Conference on Information Theory (IT 2020) will be held March 28-29, 2020 in Sydney, Australia. The conference aims to bring together researchers from academia and industry to share knowledge about modern information theory concepts and applications. Authors are invited to submit original papers by December 1, 2019 on topics related to information theory, coding techniques, signal processing, communications networks and more. Selected papers will be published in conference proceedings and the journals International Journal of computer science & information Technology and Information Technology in Industry.
"Towards Value-Centric Big Data" e-SIDES Workshop - "Safe and secure data mar...e-SIDES.eu
The Safe-DEED project received Horizon 2020 funding to develop secure data marketplaces. The 36-month project involves 8 partners across Europe developing privacy-preserving technologies like secure multi-party computation. The project aims to address barriers to data sharing by enhancing trust and assessing data value to incentivize sharing. If successful, the project expects to see at least 30 companies using the software in new revenue streams within 3 years.
FundingBox webinar: Public and Private Funding Opportunities for Startups and...Liliya Pislar
Are you a Startup or SME that's looking for financial support? This record of a FundingBox webinar might be useful for you! It provides an overview of European public funding opportunities and other private initiatives available for startups and SMEs.
Discover Open Calls of the different projects we are leading or participating in at FundingBox, and a few more as well.
The available funding and resources are delivered throughout specific industry initiatives that include acceleration programmes for startups or pilots for adopting and testing new technologies.
These projects include access to public equity-free or private funding and services like mentoring, training, participation in public and private events, internationalization or access to technologies.
About FundingBox
FundingBox provides access to funding opportunities, knowledge and connections through specialised communities that are related to specific tech initiatives: Smart Mobility, Robotics, Decentralised Technologies, Circular Economy, Next Generation Internet, Industry 4.0, etc.
Communities are accessible within an open-culture platform thanks to which stakeholders from startups, SMEs, Research & Technology Centres and a variety of other organisations meet, interact and collaborate.
In this way, these 25,000 makers, entrepreneurs, innovators and experts can build meaningful connections and access public equity-free and private funding that can together boost their growth.
Using recycled concrete aggregates (RCA) for pavements is crucial to achieving sustainability. Implementing RCA for new pavement can minimize carbon footprint, conserve natural resources, reduce harmful emissions, and lower life cycle costs. Compared to natural aggregate (NA), RCA pavement has fewer comprehensive studies and sustainability assessments.
Embedded machine learning-based road conditions and driving behavior monitoringIJECEIAES
Car accident rates have increased in recent years, resulting in losses in human lives, properties, and other financial costs. An embedded machine learning-based system is developed to address this critical issue. The system can monitor road conditions, detect driving patterns, and identify aggressive driving behaviors. The system is based on neural networks trained on a comprehensive dataset of driving events, driving styles, and road conditions. The system effectively detects potential risks and helps mitigate the frequency and impact of accidents. The primary goal is to ensure the safety of drivers and vehicles. Collecting data involved gathering information on three key road events: normal street and normal drive, speed bumps, circular yellow speed bumps, and three aggressive driving actions: sudden start, sudden stop, and sudden entry. The gathered data is processed and analyzed using a machine learning system designed for limited power and memory devices. The developed system resulted in 91.9% accuracy, 93.6% precision, and 92% recall. The achieved inference time on an Arduino Nano 33 BLE Sense with a 32-bit CPU running at 64 MHz is 34 ms and requires 2.6 kB peak RAM and 139.9 kB program flash memory, making it suitable for resource-constrained embedded systems.
Advanced control scheme of doubly fed induction generator for wind turbine us...IJECEIAES
This paper describes a speed control device for generating electrical energy on an electricity network based on the doubly fed induction generator (DFIG) used for wind power conversion systems. At first, a double-fed induction generator model was constructed. A control law is formulated to govern the flow of energy between the stator of a DFIG and the energy network using three types of controllers: proportional integral (PI), sliding mode controller (SMC) and second order sliding mode controller (SOSMC). Their different results in terms of power reference tracking, reaction to unexpected speed fluctuations, sensitivity to perturbations, and resilience against machine parameter alterations are compared. MATLAB/Simulink was used to conduct the simulations for the preceding study. Multiple simulations have shown very satisfying results, and the investigations demonstrate the efficacy and power-enhancing capabilities of the suggested control system.
CHINA’S GEO-ECONOMIC OUTREACH IN CENTRAL ASIAN COUNTRIES AND FUTURE PROSPECTjpsjournal1
The rivalry between prominent international actors for dominance over Central Asia's hydrocarbon
reserves and the ancient silk trade route, along with China's diplomatic endeavours in the area, has been
referred to as the "New Great Game." This research centres on the power struggle, considering
geopolitical, geostrategic, and geoeconomic variables. Topics including trade, political hegemony, oil
politics, and conventional and nontraditional security are all explored and explained by the researcher.
Using Mackinder's Heartland, Spykman Rimland, and Hegemonic Stability theories, examines China's role
in Central Asia. This study adheres to the empirical epistemological method and has taken care of
objectivity. This study analyze primary and secondary research documents critically to elaborate role of
china’s geo economic outreach in central Asian countries and its future prospect. China is thriving in trade,
pipeline politics, and winning states, according to this study, thanks to important instruments like the
Shanghai Cooperation Organisation and the Belt and Road Economic Initiative. According to this study,
China is seeing significant success in commerce, pipeline politics, and gaining influence on other
governments. This success may be attributed to the effective utilisation of key tools such as the Shanghai
Cooperation Organisation and the Belt and Road Economic Initiative.
Harnessing WebAssembly for Real-time Stateless Streaming PipelinesChristina Lin
Traditionally, dealing with real-time data pipelines has involved significant overhead, even for straightforward tasks like data transformation or masking. However, in this talk, we’ll venture into the dynamic realm of WebAssembly (WASM) and discover how it can revolutionize the creation of stateless streaming pipelines within a Kafka (Redpanda) broker. These pipelines are adept at managing low-latency, high-data-volume scenarios.
Literature Review Basics and Understanding Reference Management.pptxDr Ramhari Poudyal
Three-day training on academic research focuses on analytical tools at United Technical College, supported by the University Grant Commission, Nepal. 24-26 May 2024