STRABAG is one of Europe's leading construction groups with nearly 60,000 employees. It expects to generate over 11 billion euros in revenue this year. STRABAG operates across Europe, as well as in Canada, Chile, China, India, and on the Arabian Peninsula. More than 80% of its construction output comes from markets where it holds one of the top three positions, including in the Czech Republic, Hungary, Slovakia, and Poland. The document provides background information on STRABAG, including its size, geographic reach, and competitive positioning.
- Learn to understand what knowledge graphs are for
- Understand the structure of knowledge graphs (and how it relates to taxonomies and ontologies)
- Understand how knowledge graphs can be created using manual, semi-automatic, and fully automatic methods.
- Understand knowledge graphs as a basis for data integration in companies
- Understand knowledge graphs as tools for data governance and data quality management
- Implement and further develop knowledge graphs in companies
- Query and visualize knowledge graphs (including SPARQL and SHACL crash course)
- Use knowledge graphs and machine learning to enable information retrieval, text mining and document classification with the highest precision
- Develop digital assistants and question and answer systems based on semantic knowledge graphs
- Understand how knowledge graphs can be combined with text mining and machine learning techniques
- Apply knowledge graphs in practice: Case studies and demo applications
Vijay Gadde Business analyst CV.
With eleven years of Information Technology experience, special emphasis on Agile Business Analysis. Worked closely with various project stakeholders, SMEs to understand and document business requirements, functional requirements, and design specifications for new applications, enhancements to existing applications. Rendered support to Project Managers throughout the project’s lifecycle.
Strong learning and problem solving skills, excellent communication skills both written and verbal enabling effective client facing capabilities
Seeks contract work, immediately available for both interviews and starts for most locations within UK and Europe
- Learn to understand what knowledge graphs are for
- Understand the structure of knowledge graphs (and how it relates to taxonomies and ontologies)
- Understand how knowledge graphs can be created using manual, semi-automatic, and fully automatic methods.
- Understand knowledge graphs as a basis for data integration in companies
- Understand knowledge graphs as tools for data governance and data quality management
- Implement and further develop knowledge graphs in companies
- Query and visualize knowledge graphs (including SPARQL and SHACL crash course)
- Use knowledge graphs and machine learning to enable information retrieval, text mining and document classification with the highest precision
- Develop digital assistants and question and answer systems based on semantic knowledge graphs
- Understand how knowledge graphs can be combined with text mining and machine learning techniques
- Apply knowledge graphs in practice: Case studies and demo applications
Vijay Gadde Business analyst CV.
With eleven years of Information Technology experience, special emphasis on Agile Business Analysis. Worked closely with various project stakeholders, SMEs to understand and document business requirements, functional requirements, and design specifications for new applications, enhancements to existing applications. Rendered support to Project Managers throughout the project’s lifecycle.
Strong learning and problem solving skills, excellent communication skills both written and verbal enabling effective client facing capabilities
Seeks contract work, immediately available for both interviews and starts for most locations within UK and Europe
Agile Lean Europe 2018 - Zurich, 22-24 August 2018. What is an Agile Organization and how transform your company in an Agile Organization with Scrum@Scale.
David Linthicum (@davidlinthicum) from Cloud Technology Partners (@cloudtp) and Bart Copeland (@bart_copeland) from ActiveState (@activestate) will include private and public PaaS perspectives on six competitive areas where the key PaaS players strive to gain an advantage in the PaaS marketplace.
Application development
Application infrastructure
Database management
Application deployment
Business intelligence
Application security
YOUR SMART WAY TO MORE ADDED VALUE
Digitalisation is a social, economic and technical trend impacting on and including all business sectors. The importance and added value of internet-based services on the basis of intelligent networked data is constantly
on the increase. INDUSTRIAL DATA SPACE makes it simple for companies to use data as a basis for
new sustainable business models.
Data management requires a very special skillset. Data management necessitates IT skills to understand data operations, flows, and technology stack. It calls for the ability to engage and understand strategic business logic and needs. It requires an appreciation of legal and security concerns. It demands an understanding of data, a valuable but much-misunderstood asset, must be managed. And, above all, it requires a passion for data. We cannot offers consultants who check all the boxes, but as an agency, we do have the range of skills across our 60 data engineers and consultants to take on even the most challenging enterprise-level projects.
Since our first client, P&G, in 2005, we have had the privilege to work with some prestigious firms, leaders in their sectors. Those sectors have included everything from FMCG & Retail, Banking & Insurance, Oil & Gas, and manufacturing. We have implemented complex data technology stocks that have become case studies for major partners such as IBM, advised leading brands on their journey to digital transformation, and developed data strategies at the national level. We are genuinely proud of our team's achievements and look forward to new and ever greater challenges.
Software Engineering is a profession that a lot of people call themselves without applying the principles and best practices that differentiate them from a Developer. This presentation is about differences between a Developer and a Software Engineer and why it is crucial.
The Four Hats of Load and Performance Testing with special guest MentoraSOASTA
Performance testing may be the most critical function to assuring business success and continuity under unexpected application stress conditions. Professionals in this domain develop several key skills to model realistic workloads, develop robust scripts, monitor complex environments, and deliver actionable results.
In this webinar hear how good teams effectively utilize the skills associated with the four hats of performance testing:
- Business Analyst, for effective test planning
- Developer, for creating maintainable scripts
- Systems Engineer, to identify and configure resource monitors
- Data Analyst, to interpret and report results
Dan Downing, Managing Principal at Mentora, is a veteran performance tester, teacher, author, and presenter, with 30 years of enterprise testing expertise. Join Dan and fellow test industry veteran, Brad Johnson, SOASTA’s VP of Product, as they explore these four key areas where skills and expert tools must intersect to deliver speed and quality in today’s fast moving companies.
About the presenters:
Dan Downing, Managing Principal, Application Testing, Mentora
Dan leads the Enterprise Application Performance Testing practice and serves as the principal consultant for quality assessments and large enterprise projects. He has 30 years technical and leadership experience as programmer, sales engineer, product manager, senior manager, and has led enterprise load testing projects for a variety of industries. Dan is widely regarded as a subject matter expert in load testing and created the 5-Steps of Load Testing methodology taught at Mercury Interactive. He is a frequent presenter at software quality conferences such as STAR, STPCon, and Workshop on Performance and Reliability for which he is one of the organizers.
Brad Johnson, VP Product, SOASTA
Brad Johnson has been supporting testers since the turn of the last century as head of monitoring and test products at Compuware, Mercury Interactive and Borland. He joined the new school of testing in 2009 when he signed on with SOASTA to deliver cloud testing on the CloudTest platform to a skeptical and established software testing market. Now, with the experience of tens-of-thousands of tests and hundreds of companies embracing the cloud, and using the same for mobile test automation, he’s helping expand the horizons of testers everywhere.
The Four Hats of Load and Performance Testing with special guest MentoraSOASTA
Performance testing may be the most critical function to assuring business success and continuity under unexpected application stress conditions. Professionals in this domain develop several key skills to model realistic workloads, develop robust scripts, monitor complex environments, and deliver actionable results.
In this webinar hear how good teams effectively utilize the skills associated with the four hats of performance testing:
- Business Analyst, for effective test planning
- Developer, for creating maintainable scripts
- Systems Engineer, to identify and configure resource monitors
- Data Analyst, to interpret and report results
Dan Downing, Managing Principal at Mentora, is a veteran performance tester, teacher, author, and presenter, with 30 years of enterprise testing expertise. Join Dan and fellow test industry veteran, Brad Johnson, SOASTA’s VP of Product, as they explore these four key areas where skills and expert tools must intersect to deliver speed and quality in today’s fast moving companies.
About the presenters:
Dan Downing, Managing Principal, Application Testing, Mentora
Dan leads the Enterprise Application Performance Testing practice and serves as the principal consultant for quality assessments and large enterprise projects. He has 30 years technical and leadership experience as programmer, sales engineer, product manager, senior manager, and has led enterprise load testing projects for a variety of industries. Dan is widely regarded as a subject matter expert in load testing and created the 5-Steps of Load Testing methodology taught at Mercury Interactive. He is a frequent presenter at software quality conferences such as STAR, STPCon, and Workshop on Performance and Reliability for which he is one of the organizers.
Brad Johnson, VP Product, SOASTA
Brad Johnson has been supporting testers since the turn of the last century as head of monitoring and test products at Compuware, Mercury Interactive and Borland. He joined the new school of testing in 2009 when he signed on with SOASTA to deliver cloud testing on the CloudTest platform to a skeptical and established software testing market. Now, with the experience of tens-of-thousands of tests and hundreds of companies embracing the cloud, and using the same for mobile test automation, he’s helping expand the horizons of testers everywhere.
Design and Manufacturing of Sprocket using Additive Manufacturing Technologyijtsrd
Additive manufacturing, often referred to as 3D printing, has the potential to vastly accelerate innovation, compress supply chains, minimize materials and energy usage, and reduce waste. Originally developed at the Massachusetts Institute of Technology in 1993, 3D printing technology forms the basis of Z Corporation's prototyping process. 3DP technology creates 3D physical prototypes by solidifying layers of deposited powder using a liquid binder. By definition 3DP is an extremely versatile and rapid process accommodating geometry of varying complexity in hundreds of different applications, and supporting many types of materials. Z Corp. pioneered the commercial use of 3DP technology, developing 3D printers that leading manufacturers use to produce early concept models and product prototypes. Utilizing 3DP technology, Z Corp. has developed 3D printers that operate at unprecedented speeds, extremely low costs, and within a broad range of applications. This paper describes the core technology and its related applications. Additive manufacturing, often referred to as 3D printing, is a new way of making products and components from a digital model. Like an office printer that puts 2D digital files on a piece of paper, a 3D printer creates components by depositing thin layers of material one after another, only where required, using a digital blueprint until the exact component has been created. Interest in additive techniques is growing swiftly as applications have progressed from rapid prototyping to the production of end use products. Additive equipment can now use metals, polymers, composites, or other powders to print' a range of functional components, layer by layer, including complex structures that cannot be manufactured by other means. By eliminating production steps and using substantially less material, -additive' processes could be able to reduce waste and save more than 50 of energy compared to today's -subtractive' manufacturing processes, and reduce material costs by up to 90 . The use of additive manufacturing can potentially benefit a wide range of industries including defence, aerospace, automotive, biomedical, consumer products, and metals manufacturing. In this project, parametric model is done in Catia V5R20 and 3D printing is done in Cura software. B. Raghu | G. Sai Hitheswar Reddy | D. Rishikesh | K. Aseem Kumar "Design and Manufacturing of Sprocket using Additive Manufacturing Technology" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-1 , December 2019, URL: https://www.ijtsrd.com/papers/ijtsrd29464.pdfPaper URL: https://www.ijtsrd.com/engineering/mechanical-engineering/29464/design-and-manufacturing-of-sprocket-using-additive-manufacturing-technology/b-raghu
Data Architecture - The Foundation for Enterprise Architecture and GovernanceDATAVERSITY
Organizations are faced with an increasingly complex data landscape, finding themselves unable to cope with exponentially increasing data volumes, compounded by additional regulatory requirements with increased fines for non-compliance. Enterprise architecture and data governance are often discussed at length, but often with different stakeholder audiences. This can result in complementary and sometimes conflicting initiatives rather than a focused, integrated approach. Data governance requires a solid data architecture foundation in order to support the pillars of enterprise architecture. In this session, IDERA’s Ron Huizenga will discuss a practical, integrated approach to effectively understand, define and implement an cohesive enterprise architecture and data governance discipline with integrated modeling and metadata management.
Calitatea Vieții la un Click Distanță - Călătoria unui Doctorat (in Romanian / în limba română)
Prezentare susținută la Facultatea de Informatică, Universitatea Alexandru Ioan Cuza din Iași pe 4 iulie 2022.
Îmbarcă-te pentru o oră într-o călătorie de trei ani: un doctorat în informatică la Laboratorul de Tehnologii pentru Calitatea Vieții (Quality of Life Technologies Lab), Universitatea din Copenhaga.
Vlad Manea susține un seminar științific în care prezintă evoluția tezei sale de doctorat. Seminarul include un tur virtual al laboratorului, lecții de viață învățate și posibilități de colaborare. De asemenea, seminarul detaliază trei arii de cercetare legate de Calitatea Vieții și abordate în cadrul doctoratului:
1. Motivarea și facilitarea participării în studii umane (referința 1).
2. Co-calibrarea rezultatelor de comportament, sănătate și calitate a vieții (referințele 2A-B).
3. Estimarea riscului de boli cardiovasculare (referința 3).
Referințe
1. Towards Personalizing Participation in Health Studies. Vlad Manea, Mads Schnoor Hansen, Ece Elbeyi, Katarzyna Wac. Workshop on Multimedia for Personal Health and Health Care, HealthMedia 2019. In conjunction with the ACM international conference on Multimedia, MM 2019, Nice, France. 8 pages. DOI: https://doi.org/10.1145/3347444.3356241
2A. Quantifying Energy and Fatigue. Classification and Assessment of Energy and Fatigue Using Subjective, Objective, and Mixed Methods towards Health and Quality of Life. Natalie Leah Solomon, Vlad Manea. Chapter in: Quantifying Quality of Life: Incorporating Daily Life into Medicine, Springer, Cham. 30 pages. DOI: https://doi.org/10.1007/978-3-030-94212-0_4
2B. Co-calibrating Physical and Psychological Outcomes and Consumer Wearable Activity Outcomes in Older Adults: An Evaluation of the coQoL Method. Vlad Manea, Katarzyna Wac. Journal of Personalized Medicine (impact factor 4.4, quartile Q1 at submission time). DOI: https://doi.org/10.3390/jpm10040203
3. Using consumer-wearable activity trackers for risk prediction of life-threatening heart arrhythmia in patients with an implantable cardioverter-defibrillator: an exploratory observational study. Diana My Frodi*, Vlad Manea*, Søren Zöga Diederichsen, Jesper Hastrup Svendsen, Katarzyna Wac, Tariq Osman Andersen. Journal of Personalized Medicine (impact factor 4.9, quartile Q1 at submission time). DOI: https://doi.org/10.3390/jpm12060942
PhD Thesis Defence: From Participation Factors to Co-Calibration of Patient- ...Vlad Manea
From Participation Factors to Co-Calibration of Patient- and Wearable-Reported Outcomes in Behavioural, Health, and Quality of Life Studies / PhD Thesis Defence • April 14th, 2021 • University of Copenhagen
Cite this work: From Participation Factors to Co-Calibration of Patient- and Wearable-Reported Outcomes in Behavioural, Health, and Quality of Life Studies. Vlad Manea. PhD thesis, Quality of Life Technologies Lab, Section of Human-Centered Computing, Department of Computer Science, Faculty of Science, University of Copenhagen, 2020. Copenhagen, Denmark
Abstract
Chronic diseases represent a significant share of the burden of disease globally. They are responsible for 86% of premature deaths in Europe. Unhealthy behaviours, such as physical inactivity, insufficient sleep, poor nutrition, and tobacco intake, explain up to 50% of chronic disease risk. However, the evidence is not precise enough to assess the risk for each disease. Human subject studies monitoring behaviours over long periods (longitudinally) during daily life (in situ) by leveraging unobtrusive (observational) technology can allow human behaviours to unfold. They can not only qualify, but also quantify the relationships between behaviours, health, and Quality of Life (QoL) outcomes from compliant participants.
This PhD thesis explores two research areas. In the first area, we research the motivation and facilitation of participation in human subject studies. We propose a presentational model using personalised stories to improve human studies’ participation. We design two unifying frameworks for conducting a wide range of human subject studies (mQoL mobile app, mQoL-Chat chatbot). They leverage two modules designed and developed by the author in mQoL-Lab, the lab platform of the Quality of Life Technologies lab.
In the second area, we research the relationships between behavioural, health, and QoL outcomes (co-calibration). We present the coQoL computational model for co-calibration. We demonstrate its feasibility in a study on N = 42 healthy older individuals (a population at risk, appropriate for disease prevention, and having benefitted from insufficient co-calibrations). They answered questionnaires on eight physical and psychological validated scales (physical activity: IPAQ, social support:
MSPSS, anxiety and depression: GADS, nutrition: PREDIMED and SelfMNA, memory: MFE, sleep: PSQI, and health-related QoL: EQ-5D-3L). They wore consumer wearables (Fitbit Charge 2) for up to two years. The wearables reported behavioural markers (physical activity, sleep, heart rate) in situ. We observed new relationships between these outcomes. We described the study’s human factors and data quality.
The scientific contributions in both research areas can inform the design of future studies leveraging consumer technology that monitors behaviours longitudinally in situ to assess and improve health and QoL.
Agile Lean Europe 2018 - Zurich, 22-24 August 2018. What is an Agile Organization and how transform your company in an Agile Organization with Scrum@Scale.
David Linthicum (@davidlinthicum) from Cloud Technology Partners (@cloudtp) and Bart Copeland (@bart_copeland) from ActiveState (@activestate) will include private and public PaaS perspectives on six competitive areas where the key PaaS players strive to gain an advantage in the PaaS marketplace.
Application development
Application infrastructure
Database management
Application deployment
Business intelligence
Application security
YOUR SMART WAY TO MORE ADDED VALUE
Digitalisation is a social, economic and technical trend impacting on and including all business sectors. The importance and added value of internet-based services on the basis of intelligent networked data is constantly
on the increase. INDUSTRIAL DATA SPACE makes it simple for companies to use data as a basis for
new sustainable business models.
Data management requires a very special skillset. Data management necessitates IT skills to understand data operations, flows, and technology stack. It calls for the ability to engage and understand strategic business logic and needs. It requires an appreciation of legal and security concerns. It demands an understanding of data, a valuable but much-misunderstood asset, must be managed. And, above all, it requires a passion for data. We cannot offers consultants who check all the boxes, but as an agency, we do have the range of skills across our 60 data engineers and consultants to take on even the most challenging enterprise-level projects.
Since our first client, P&G, in 2005, we have had the privilege to work with some prestigious firms, leaders in their sectors. Those sectors have included everything from FMCG & Retail, Banking & Insurance, Oil & Gas, and manufacturing. We have implemented complex data technology stocks that have become case studies for major partners such as IBM, advised leading brands on their journey to digital transformation, and developed data strategies at the national level. We are genuinely proud of our team's achievements and look forward to new and ever greater challenges.
Software Engineering is a profession that a lot of people call themselves without applying the principles and best practices that differentiate them from a Developer. This presentation is about differences between a Developer and a Software Engineer and why it is crucial.
The Four Hats of Load and Performance Testing with special guest MentoraSOASTA
Performance testing may be the most critical function to assuring business success and continuity under unexpected application stress conditions. Professionals in this domain develop several key skills to model realistic workloads, develop robust scripts, monitor complex environments, and deliver actionable results.
In this webinar hear how good teams effectively utilize the skills associated with the four hats of performance testing:
- Business Analyst, for effective test planning
- Developer, for creating maintainable scripts
- Systems Engineer, to identify and configure resource monitors
- Data Analyst, to interpret and report results
Dan Downing, Managing Principal at Mentora, is a veteran performance tester, teacher, author, and presenter, with 30 years of enterprise testing expertise. Join Dan and fellow test industry veteran, Brad Johnson, SOASTA’s VP of Product, as they explore these four key areas where skills and expert tools must intersect to deliver speed and quality in today’s fast moving companies.
About the presenters:
Dan Downing, Managing Principal, Application Testing, Mentora
Dan leads the Enterprise Application Performance Testing practice and serves as the principal consultant for quality assessments and large enterprise projects. He has 30 years technical and leadership experience as programmer, sales engineer, product manager, senior manager, and has led enterprise load testing projects for a variety of industries. Dan is widely regarded as a subject matter expert in load testing and created the 5-Steps of Load Testing methodology taught at Mercury Interactive. He is a frequent presenter at software quality conferences such as STAR, STPCon, and Workshop on Performance and Reliability for which he is one of the organizers.
Brad Johnson, VP Product, SOASTA
Brad Johnson has been supporting testers since the turn of the last century as head of monitoring and test products at Compuware, Mercury Interactive and Borland. He joined the new school of testing in 2009 when he signed on with SOASTA to deliver cloud testing on the CloudTest platform to a skeptical and established software testing market. Now, with the experience of tens-of-thousands of tests and hundreds of companies embracing the cloud, and using the same for mobile test automation, he’s helping expand the horizons of testers everywhere.
The Four Hats of Load and Performance Testing with special guest MentoraSOASTA
Performance testing may be the most critical function to assuring business success and continuity under unexpected application stress conditions. Professionals in this domain develop several key skills to model realistic workloads, develop robust scripts, monitor complex environments, and deliver actionable results.
In this webinar hear how good teams effectively utilize the skills associated with the four hats of performance testing:
- Business Analyst, for effective test planning
- Developer, for creating maintainable scripts
- Systems Engineer, to identify and configure resource monitors
- Data Analyst, to interpret and report results
Dan Downing, Managing Principal at Mentora, is a veteran performance tester, teacher, author, and presenter, with 30 years of enterprise testing expertise. Join Dan and fellow test industry veteran, Brad Johnson, SOASTA’s VP of Product, as they explore these four key areas where skills and expert tools must intersect to deliver speed and quality in today’s fast moving companies.
About the presenters:
Dan Downing, Managing Principal, Application Testing, Mentora
Dan leads the Enterprise Application Performance Testing practice and serves as the principal consultant for quality assessments and large enterprise projects. He has 30 years technical and leadership experience as programmer, sales engineer, product manager, senior manager, and has led enterprise load testing projects for a variety of industries. Dan is widely regarded as a subject matter expert in load testing and created the 5-Steps of Load Testing methodology taught at Mercury Interactive. He is a frequent presenter at software quality conferences such as STAR, STPCon, and Workshop on Performance and Reliability for which he is one of the organizers.
Brad Johnson, VP Product, SOASTA
Brad Johnson has been supporting testers since the turn of the last century as head of monitoring and test products at Compuware, Mercury Interactive and Borland. He joined the new school of testing in 2009 when he signed on with SOASTA to deliver cloud testing on the CloudTest platform to a skeptical and established software testing market. Now, with the experience of tens-of-thousands of tests and hundreds of companies embracing the cloud, and using the same for mobile test automation, he’s helping expand the horizons of testers everywhere.
Design and Manufacturing of Sprocket using Additive Manufacturing Technologyijtsrd
Additive manufacturing, often referred to as 3D printing, has the potential to vastly accelerate innovation, compress supply chains, minimize materials and energy usage, and reduce waste. Originally developed at the Massachusetts Institute of Technology in 1993, 3D printing technology forms the basis of Z Corporation's prototyping process. 3DP technology creates 3D physical prototypes by solidifying layers of deposited powder using a liquid binder. By definition 3DP is an extremely versatile and rapid process accommodating geometry of varying complexity in hundreds of different applications, and supporting many types of materials. Z Corp. pioneered the commercial use of 3DP technology, developing 3D printers that leading manufacturers use to produce early concept models and product prototypes. Utilizing 3DP technology, Z Corp. has developed 3D printers that operate at unprecedented speeds, extremely low costs, and within a broad range of applications. This paper describes the core technology and its related applications. Additive manufacturing, often referred to as 3D printing, is a new way of making products and components from a digital model. Like an office printer that puts 2D digital files on a piece of paper, a 3D printer creates components by depositing thin layers of material one after another, only where required, using a digital blueprint until the exact component has been created. Interest in additive techniques is growing swiftly as applications have progressed from rapid prototyping to the production of end use products. Additive equipment can now use metals, polymers, composites, or other powders to print' a range of functional components, layer by layer, including complex structures that cannot be manufactured by other means. By eliminating production steps and using substantially less material, -additive' processes could be able to reduce waste and save more than 50 of energy compared to today's -subtractive' manufacturing processes, and reduce material costs by up to 90 . The use of additive manufacturing can potentially benefit a wide range of industries including defence, aerospace, automotive, biomedical, consumer products, and metals manufacturing. In this project, parametric model is done in Catia V5R20 and 3D printing is done in Cura software. B. Raghu | G. Sai Hitheswar Reddy | D. Rishikesh | K. Aseem Kumar "Design and Manufacturing of Sprocket using Additive Manufacturing Technology" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-1 , December 2019, URL: https://www.ijtsrd.com/papers/ijtsrd29464.pdfPaper URL: https://www.ijtsrd.com/engineering/mechanical-engineering/29464/design-and-manufacturing-of-sprocket-using-additive-manufacturing-technology/b-raghu
Data Architecture - The Foundation for Enterprise Architecture and GovernanceDATAVERSITY
Organizations are faced with an increasingly complex data landscape, finding themselves unable to cope with exponentially increasing data volumes, compounded by additional regulatory requirements with increased fines for non-compliance. Enterprise architecture and data governance are often discussed at length, but often with different stakeholder audiences. This can result in complementary and sometimes conflicting initiatives rather than a focused, integrated approach. Data governance requires a solid data architecture foundation in order to support the pillars of enterprise architecture. In this session, IDERA’s Ron Huizenga will discuss a practical, integrated approach to effectively understand, define and implement an cohesive enterprise architecture and data governance discipline with integrated modeling and metadata management.
Calitatea Vieții la un Click Distanță - Călătoria unui Doctorat (in Romanian / în limba română)
Prezentare susținută la Facultatea de Informatică, Universitatea Alexandru Ioan Cuza din Iași pe 4 iulie 2022.
Îmbarcă-te pentru o oră într-o călătorie de trei ani: un doctorat în informatică la Laboratorul de Tehnologii pentru Calitatea Vieții (Quality of Life Technologies Lab), Universitatea din Copenhaga.
Vlad Manea susține un seminar științific în care prezintă evoluția tezei sale de doctorat. Seminarul include un tur virtual al laboratorului, lecții de viață învățate și posibilități de colaborare. De asemenea, seminarul detaliază trei arii de cercetare legate de Calitatea Vieții și abordate în cadrul doctoratului:
1. Motivarea și facilitarea participării în studii umane (referința 1).
2. Co-calibrarea rezultatelor de comportament, sănătate și calitate a vieții (referințele 2A-B).
3. Estimarea riscului de boli cardiovasculare (referința 3).
Referințe
1. Towards Personalizing Participation in Health Studies. Vlad Manea, Mads Schnoor Hansen, Ece Elbeyi, Katarzyna Wac. Workshop on Multimedia for Personal Health and Health Care, HealthMedia 2019. In conjunction with the ACM international conference on Multimedia, MM 2019, Nice, France. 8 pages. DOI: https://doi.org/10.1145/3347444.3356241
2A. Quantifying Energy and Fatigue. Classification and Assessment of Energy and Fatigue Using Subjective, Objective, and Mixed Methods towards Health and Quality of Life. Natalie Leah Solomon, Vlad Manea. Chapter in: Quantifying Quality of Life: Incorporating Daily Life into Medicine, Springer, Cham. 30 pages. DOI: https://doi.org/10.1007/978-3-030-94212-0_4
2B. Co-calibrating Physical and Psychological Outcomes and Consumer Wearable Activity Outcomes in Older Adults: An Evaluation of the coQoL Method. Vlad Manea, Katarzyna Wac. Journal of Personalized Medicine (impact factor 4.4, quartile Q1 at submission time). DOI: https://doi.org/10.3390/jpm10040203
3. Using consumer-wearable activity trackers for risk prediction of life-threatening heart arrhythmia in patients with an implantable cardioverter-defibrillator: an exploratory observational study. Diana My Frodi*, Vlad Manea*, Søren Zöga Diederichsen, Jesper Hastrup Svendsen, Katarzyna Wac, Tariq Osman Andersen. Journal of Personalized Medicine (impact factor 4.9, quartile Q1 at submission time). DOI: https://doi.org/10.3390/jpm12060942
PhD Thesis Defence: From Participation Factors to Co-Calibration of Patient- ...Vlad Manea
From Participation Factors to Co-Calibration of Patient- and Wearable-Reported Outcomes in Behavioural, Health, and Quality of Life Studies / PhD Thesis Defence • April 14th, 2021 • University of Copenhagen
Cite this work: From Participation Factors to Co-Calibration of Patient- and Wearable-Reported Outcomes in Behavioural, Health, and Quality of Life Studies. Vlad Manea. PhD thesis, Quality of Life Technologies Lab, Section of Human-Centered Computing, Department of Computer Science, Faculty of Science, University of Copenhagen, 2020. Copenhagen, Denmark
Abstract
Chronic diseases represent a significant share of the burden of disease globally. They are responsible for 86% of premature deaths in Europe. Unhealthy behaviours, such as physical inactivity, insufficient sleep, poor nutrition, and tobacco intake, explain up to 50% of chronic disease risk. However, the evidence is not precise enough to assess the risk for each disease. Human subject studies monitoring behaviours over long periods (longitudinally) during daily life (in situ) by leveraging unobtrusive (observational) technology can allow human behaviours to unfold. They can not only qualify, but also quantify the relationships between behaviours, health, and Quality of Life (QoL) outcomes from compliant participants.
This PhD thesis explores two research areas. In the first area, we research the motivation and facilitation of participation in human subject studies. We propose a presentational model using personalised stories to improve human studies’ participation. We design two unifying frameworks for conducting a wide range of human subject studies (mQoL mobile app, mQoL-Chat chatbot). They leverage two modules designed and developed by the author in mQoL-Lab, the lab platform of the Quality of Life Technologies lab.
In the second area, we research the relationships between behavioural, health, and QoL outcomes (co-calibration). We present the coQoL computational model for co-calibration. We demonstrate its feasibility in a study on N = 42 healthy older individuals (a population at risk, appropriate for disease prevention, and having benefitted from insufficient co-calibrations). They answered questionnaires on eight physical and psychological validated scales (physical activity: IPAQ, social support:
MSPSS, anxiety and depression: GADS, nutrition: PREDIMED and SelfMNA, memory: MFE, sleep: PSQI, and health-related QoL: EQ-5D-3L). They wore consumer wearables (Fitbit Charge 2) for up to two years. The wearables reported behavioural markers (physical activity, sleep, heart rate) in situ. We observed new relationships between these outcomes. We described the study’s human factors and data quality.
The scientific contributions in both research areas can inform the design of future studies leveraging consumer technology that monitors behaviours longitudinally in situ to assess and improve health and QoL.
coQoL: co-calibrating physical and psychological outcomes and consumer wearab...Vlad Manea
Thank You for referencing this work, if you find it useful!
Citation of a related scientific paper:
Manea, V., & Wac, K. (2020). Co-Calibrating Physical and Psychological Outcomes and Consumer Wearable Activity Outcomes in Older Adults: An Evaluation of the coQoL Method. Journal of Personalized Medicine, 10(4), 203. DOI https://doi.org/10.3390/jpm10040203
Towards personalizing participation in health studiesVlad Manea
There is substantial evidence on the relevant factors that motivate participation in human subject studies and the expectations of participants when sharing their health data for research. However, most human subject studies focus on participant eligibility and data collection, omitting even a rudimentary use of the factors that motivate participation. We illustrate an approach to use motivation to construct personalized stories and exemplify it by using a chatbot under development towards monitoring, analyzing, and influencing health study participation, engagement, and retention. Additionally, we discuss the new advantages, challenges, and unexplored avenues for research stemming from our approach.
Cite this work in your research:
Vlad Manea, Mads Schnoor Hansen, Ece Elbeyi, Katarzyna Wac. Towards Personalizing Participation in Health Studies. Workshop on Multimedia for Personal Health and Health Care, HealthMedia 2019. In conjunction with the ACM International Conference on Multimedia, MM 2019, Nice, France.
Co-author. Presented by Semahat Ece Elbeyi, University of Copenhagen, Quality of Life Technologies Lab. Research funded by H2020 WellCo (769765). Workshop HealthMedia 2019 in conjunction with ACM MultiMedia 2019, Nice, France, October 2019.
Livskvalitet Teknologi Laboratorium
Københavns Universitet
Universitetet i Genève
I denne præsentation beskriver vi udfordringer og muligheder i sammenhæng med kvantitativ evaluering af adfærd, risici og livskvalitet ved brug af teknologi for at hjælpe folk med at leve længere, sundere og gladere.
Livskvalitet Teknologi Laboratoriums (Quality of Life Technologies Lab) vision er at være et førende akademisk laboratorium, der er anerkendt for uddannelse, forskning, design og udvikling med det formål at forbedre livskvaliteten for enkeltpersoner i hele deres liv.
Laboratoriemissionen er at designe, udvikle og evaluere nye mobile teknologier for at vurdere enkeltpersoners livskvalitet, når det udfolder sig naturligt over tid, og forbedre det i alle livsfaser.
Denne præsentation er blevet leveret (på dansk) som taler på Toastmasters på dansk offentlige taleklub i København, Danmark.
+ Se versionen på spansk her: https://www.slideshare.net/vlad.manea/calidad-de-vida-a-su-alcance-156831152
+ Se versionen på engelsk her: https://www.slideshare.net/vlad.manea/quality-of-life-at-your-fingertips
Henvis til vores arbejde i din videnskabelige artikel:
Katarzyna Wac, Fra kvantificeret selv til livskvalitet, bogkapitel i "Digital sundhed", Health Informatics, Springer Nature, p. 83-108, Dordrecht, Nederlandene, 2018.
Hjælp vores forskning ved at tilmelde dig Life Labs Living Lab:
https://www.qualityoflifetechnologies.com/living-lab/
Quality of Life Technologies Lab
University of Copenhagen
University of Geneva
In this presentation we describe challenges and opportunities of technology in the context of quantitatively evaluating behaviors, risks, and Quality of Life towards helping people live longer, healthier, and happier.
Quality of Life (QoL) technologies lab vision is to be a leading academic laboratory recognized for inter-disciplinary education, research, design and development aimed at improving Quality of Life of individuals throughout their lives.
The lab mission is to design, develop and evaluate emerging mobile technologies with the goal of assessing individuals’ life quality as it unfolds naturally over time and in context, and improving it at all stages of life.
This presentation has been delivered at the Frederiksberg Toastmasters public speaking club in Copenhagen, Denmark.
+ See a version in Spanish here: https://www.slideshare.net/vlad.manea/calidad-de-vida-a-su-alcance-156831152
+ See a version in Danish here: https://www.slideshare.net/vlad.manea/livskvalitet-lige-ved-hnden
Reference our work in your scientific article:
Katarzyna Wac, From Quantified Self to Quality of Life, Book Chapter in "Digital Health", Health Informatics, Springer Nature, p. 83-108, Dordrecht, The Netherlands, 2018.
Help our research (and your better living) by enrolling in the Quality of Life Living Lab:
https://www.qualityoflifetechnologies.com/living-lab/
Laboratorio de Tecnologías Calidad de Vida
Universidad de Copenhague
Universidad de Ginebra
En esta presentación, describimos los desafíos y las oportunidades de la tecnología en el contexto de la evaluación de los comportamientos, los riesgos y la Calidad de Vida para ayudar a las personas a vivir más tiempo, más sanas y felices.
La visión del laboratorio de tecnologías de Calidad de Vida (Quality of Life Technologies Lab) es ser un laboratorio académico líder reconocido por su educación, investigación, diseño y desarrollo interdisciplinarios, con el objetivo de mejorar la Calidad de Vida de las personas a lo largo de sus vidas.
La misión del laboratorio es diseñar, desarrollar y evaluar tecnologías móviles emergentes con el objetivo de evaluar la Calidad de Vida de las personas a medida que se desarrollan de forma natural en el tiempo y en contexto, y mejorarlas en todas las etapas de la vida.
La presentación fue entregada como un discurso de apertura en Amigos Toastmasters en Copenhague, Dinamarca.
+ Vea una versión de esta presentación en inglés aquí: https://www.slideshare.net/vlad.manea/quality-of-life-at-your-fingertips
+ Vea una versión de esta presentación en danés aquí:
https://www.slideshare.net/vlad.manea/livskvalitet-lige-ved-hnden
Referencia esto en un artículo científico:
Katarzyna Wac, From Quantified Self to Quality of Life, Book Chapter in "Digital Health", Health Informatics, Springer Nature, p. 83-108, Dordrecht, The Netherlands, 2018.
Participe en nuestra investigación de Calidad de Vida: Laboratorio Virtual de Calidad de Vida
https://www.qualityoflifetechnologies.com/living-lab/
Project for the Summer School on Ubiquitous Computing, Oulu, Finland, 10-15 June 2019
Loukas Konstantinou • Cyprus University of Technology
Vlad Manea • University of of Copenhagen
Thaha Mohammed • Aalto University
Aku Visuri • University of Oulu
UBISS 2019 • Oulu, Finland
Problem
Lecture Boredom
23.000 universities Webometrics
50% time boring for students Götz
60% of students bored Guardian
2019 end year course evaluations
Context
Lecture Atmosphere
Many signals: lecturer speaks, slides unfold, students roll eyes, ...
Context sensing: possible with available, unobtrusive technologies
Insufficient research to quantify classroom audience engagement
Method
Study Setup
16 lecture videos from YouTube ⨉
5 audio clips per video ⨉
4 workshop students ⨉
1 rating per clip =
320 data points
Results
Model Accuracies
Supervised Machine Learning, Classification
Support Vector Machines
65% Dreadful - Cheerful
72% Timid - Assertive
75% Vague - Clear
55% Monotonous - Dynamic
Lessons Learned
Models gave good results for the time and resources we had
Android sound mobile sensing was particularly challenging
Opportunity for holistic sensing of classrooms at scale
Prototyping for knowledge based entrepreneurshipVlad Manea
Two lectures on prototyping for the Knowledge-based Entrepreneurship M.Sc. course at UCPH Innovation Hub, the University of Copenhagen in December 2015.
The contains a brief overview of our case study from an IT-research project aimed at improving coordination in elder care centers. As part of the project, we built a series of prototypes.
It then continues with a systematic description of prototypes and their properties, along with concrete examples. Several simple pieces of advice, as well as common pitfalls, are presented.
Balancing priorities: a field study of coordination in distributed elder careVlad Manea
Within elder care, an increased distribution of care poses strong requirements on the ability of health providers, to coordinate their activities across organizational boundaries.
However, existing care administration systems do not offer sufficient support for collaboration and coordination among a heterogeneous ensemble of care providers. In this paper, we present findings from a field study of coordinative work in distributed elder care in Denmark.
The purpose of the study is to further our understanding of the coordinative challenges of distributed elder care and to inform the design of new care administration systems. Overall, we found that caregivers at the care center fulfill a crucial role in prioritizing the scheduled activities in cases where opposed interests occur, which indicates a need for a care administration system, that not only supports the meticulous planning of activities, that are needed by the healthcare system, but also the work involved in balancing priorities.
Acetabularia Information For Class 9 .docxvaibhavrinwa19
Acetabularia acetabulum is a single-celled green alga that in its vegetative state is morphologically differentiated into a basal rhizoid and an axially elongated stalk, which bears whorls of branching hairs. The single diploid nucleus resides in the rhizoid.
A Strategic Approach: GenAI in EducationPeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Biological screening of herbal drugs: Introduction and Need for
Phyto-Pharmacological Screening, New Strategies for evaluating
Natural Products, In vitro evaluation techniques for Antioxidants, Antimicrobial and Anticancer drugs. In vivo evaluation techniques
for Anti-inflammatory, Antiulcer, Anticancer, Wound healing, Antidiabetic, Hepatoprotective, Cardio protective, Diuretics and
Antifertility, Toxicity studies as per OECD guidelines
Introduction to AI for Nonprofits with Tapp NetworkTechSoup
Dive into the world of AI! Experts Jon Hill and Tareq Monaur will guide you through AI's role in enhancing nonprofit websites and basic marketing strategies, making it easy to understand and apply.
MATATAG CURRICULUM: ASSESSING THE READINESS OF ELEM. PUBLIC SCHOOL TEACHERS I...NelTorrente
In this research, it concludes that while the readiness of teachers in Caloocan City to implement the MATATAG Curriculum is generally positive, targeted efforts in professional development, resource distribution, support networks, and comprehensive preparation can address the existing gaps and ensure successful curriculum implementation.
Read| The latest issue of The Challenger is here! We are thrilled to announce that our school paper has qualified for the NATIONAL SCHOOLS PRESS CONFERENCE (NSPC) 2024. Thank you for your unwavering support and trust. Dive into the stories that made us stand out!
Unit 8 - Information and Communication Technology (Paper I).pdfThiyagu K
This slides describes the basic concepts of ICT, basics of Email, Emerging Technology and Digital Initiatives in Education. This presentations aligns with the UGC Paper I syllabus.
This slide is special for master students (MIBS & MIFB) in UUM. Also useful for readers who are interested in the topic of contemporary Islamic banking.
How to Add Chatter in the odoo 17 ERP ModuleCeline George
In Odoo, the chatter is like a chat tool that helps you work together on records. You can leave notes and track things, making it easier to talk with your team and partners. Inside chatter, all communication history, activity, and changes will be displayed.
Normal Labour/ Stages of Labour/ Mechanism of LabourWasim Ak
Normal labor is also termed spontaneous labor, defined as the natural physiological process through which the fetus, placenta, and membranes are expelled from the uterus through the birth canal at term (37 to 42 weeks
A workshop hosted by the South African Journal of Science aimed at postgraduate students and early career researchers with little or no experience in writing and publishing journal articles.
The simplified electron and muon model, Oscillating Spacetime: The Foundation...RitikBhardwaj56
Discover the Simplified Electron and Muon Model: A New Wave-Based Approach to Understanding Particles delves into a groundbreaking theory that presents electrons and muons as rotating soliton waves within oscillating spacetime. Geared towards students, researchers, and science buffs, this book breaks down complex ideas into simple explanations. It covers topics such as electron waves, temporal dynamics, and the implications of this model on particle physics. With clear illustrations and easy-to-follow explanations, readers will gain a new outlook on the universe's fundamental nature.
Thesis Statement for students diagnonsed withADHD.ppt
Worldbase
1. Romania . LICEUL DE INFORMATICA “GRIGORE C. MOISIL” IASI
project manager: prof. Emanuela Cerchez
e-mail: emanuela.cerchez@gmail.com
worldbase
we make your dream database come true
Vlad Manea Ioana-Loredana Marţin
Dragoş-Mihail Vasiliu Andreea-Corina Dumea
2. STRABAG Company: Profile
STRABAG is one of Europe’s leading construction groups.
With nearly 60,000 employees, STRABAG expects to post
revenue of about 11 billion Euros this financial year.
From its core markets of Austria and Germany, STRABAG,
via its numerous subsidiaries, is present in all countries of
Eastern and South-East Europe, in selected markets in
Western Europe, on the Arabian Peninsula, as well as in
Canada, Chile, China and India.
STRABAG generates more than 80% of its construction
output in markets in which it holds one of the top three
positions. These include the Czech Republic, Hungary,
Slovakia and Poland.
worldbase 2 / 32
3. STRABAG Research: References
Our team received from We were determined to search for a capable person that
our supervisor the task of could have provided the necessary information.
organizing our company’s
business. We talked to our colleague, Dipl. Eng. Sarghe MARIUS.
The STRABAG website STRABAG S.R.L.
www.strabag.com helped DIRECTION I.F.
ENVIRONMENTAL TECHNOLOGY
us know STRABAG’s main INTERNATIONAL
activities and values. _____________________________________________________________________________________________
Dipl. Eng. Sarghe MARIUS
We also looked at similar Romania Business Development Deputy Project Manager
businesses’ websites, to
find out about construction IASI ROMANIA, Str. Sos. Iasi-Holboca; Statia de Epurare
Phone: +40(0)332/108 858
companies, in general: Fax: +40(0)332/108 859
Synergy, Mobile: +40(0)728/859 106
Summa SA, E-mail: marius.sarghe@strabag.com
www.strabag.com
Rotary Constructii,
Transilvania Constructii.
At the first interview, he exposed the current STRABAG
problems and shown us some contract samples to explain
how the business works.
worldbase 3 / 32
4. STRABAG Research: References
In order to complete the STRABAG’s magazine, inform, was a helpful source of
information provided by our information for successful projects and cover stories.
interviewee, we searched
for useful resources on the The magazine also shows how our company involves in
STRABAG website. social and cultural activities for its employees (art festivals,
sports competitions, photo contests etc.):
- inform December 2006
- inform May 2007
- inform September 2007
Annual reports show our the growth of our company in time
and gave us an overview of the importance of some key
elements for the global STRABAG business:
- 2004 report
- 2005 report
- 2006 report
We also consulted an Investor Presentation where we found
financial information about our company and particularly
about its profitable growth.
worldbase 4 / 32
5. STRABAG Research: Problem
? It has become clear
that conventional
informational systems for
organizing the business
requirements could not
keep up with the ever
expanding business.
√ We came up with a
solution that consisted in
a database that would
organize the business in
a handy manner.
Roads Tunnels Civil
Bridges Services Industrial
worldbase 5 / 32
6. STRABAG Research: Business Rules
The key element for Each contract contains a special mention that allows
STRABAG’s business is possible delays due to meteorological factors beyond
the project. control. An estimated value of the project is specified.
For each project, a STRABAG divides each project into project stages,
contract is signed between depending on its size and complexity.
our company (through a
STRABAG employee Our company establishes the start date of the construction
assigned as project and estimates a deadline for the whole project and also for
manager) and the each project stage.
company that orders the
construction (client).
contract
project project
stages
worldbase 6 / 32
7. STRABAG Research: Business Rules
How does someone get When a position at STRABAG is vacant, candidates are
hired at STRABAG? selected according to their CVs and recommendation letters.
Afterwards, the selected candidates are invited to an
interview. If a candidate is hired, a medical record of all his
major diseases and medical indication is made. Each
employee has a job history. When a hired person is
promoted (demoted), the function and salary are changed.
How does STRABAG For some project stages, STRABAG may subcontract
cooperate with other specific task to specialized. In order to choose the best
companies for specific companies, an auction takes place. STRABAG evaluates the
project stages? candidates by criteria such as offers, financial status and
experience. The selected companies sign a subcontract with
STRABAG.
How does STRABAG use STRABAG provides its own equipment to project stages for
equipment on project certain periods of time. In order to use equipments that are
stages? not in its possession, our company signs subcontracts.
worldbase 7 / 32
8. STRABAG Research: Business Rules
How does STRABAG use Certain amounts of materials are bought from other
materials for a specific companies at specific prices.
project stage?
Well determined amounts of materials are taken from
stockpiles for different project stages.
price
X
quantity quantity
companies materials project
stages
worldbase 8 / 32
9. STRABAG Research: Weather Influences
Weather is the most Samples of STRABAG safety measures in a rainy day:
important factor that may
affect the business.
The meteorological
conditions influence the workers
building processes in avoid working on
different ways. electric systems
of skyscrapers.
Our database must retain
and allow retrieval of all concrete
the required weather receives special
measurements. treatments to
harden faster.
deadlines
must be changed
if some activities
are delayed.
worldbase 9 / 32
10. STRABAG Research: Weather Influences
STRABAG uses weather STRABAG measures three times a day factors such as
information in order to temperature, humidity, wind speed, precipitations at the
have equipments and location of every project stage.
workers ready to meet the
safety standards. STRABAG has agreements with local meteorological
institutes for weather forecasts. Weather forecast is sent by
Weather conditions e-mail, once for a specific day, registration time being
determine the choice of considered 00:00AM (when STRABAG does not execute
adequate materials for a weather measurements).
specific task (e.g. concrete
type or additive selection is Meteorological
influenced by temperature Institute
and precipitations).
measurement e-mail forecast
temperature humidity wind speed precipitations
worldbase 10 / 32
11. STRABAG Research: Business Needs
The business is based on Our database model provides quick answers to a wide set of
the synergy between the questions such as:
three main segments:
- Which materials, equipment, subcontractors were put
- Building construction & together to bring a specific project to life?
Construction engineering
- Based on STRABAG experts’ previous works, which of
- Road construction them should be assigned to design a tunnel in the Alps?
- Tunneling & Services - Which materials were used to build the last giant power
plant in the tundra?
Our database must be a
reliable platform for any of - Which workers are able to perform a specific task and
these activities. are not under any medical indication that forbids the task?
- What are the free market countries with the highest rate of
finalized projects in the last year?
- What equipment should be sent to do a task for a project
stage if the weather forecast predicts a torrential rain?
worldbase 11 / 32
12. STRABAG Research: Required Information
In order to fulfill the STRABAG retains each past or current project, its afferent
business needs, our contract, client, and specific project stages.
database must store data
about the following For each project stage, all subcontractors and the afferent
elements: contracts must be known.
- contracts Materials, workers, equipments, locations and weather
- projects conditions for each day of a project stage are also required.
- project stages
- employees It is required that materials have known suppliers and
- subcontracts prices. Materials are used for specific project stages in
- clients certain quantities.
- materials It is indicated that STRABAG knows other companies’
- equipment background, expertise, balance sheet and turnover.
- locations The business requires personal data, contact information,
- weather job history and medical record for each employee.
His activities in the company must be tracked as well.
worldbase 12 / 32
13. This is the diagram we have, after successive
Preliminary ERD improvements suggested in several interviews:
appear as project designer on
signed by have as appear as
designer have as pm pm on
supervised by
CONTRACT MEDICAL
# id EMPLOYEE supervise
RECORD
signer of
* estimated value # id # number
* start date #1 social number * disease
COMPANY
* proposed end date #1 residence state have * start date
supply # cui
* purpose * first name o end date
* name belong to
* last name o indication
* profile signed for
* date of birth
* address have work on
have * residence address
done
* date founded o phone number
* balance sheet PROJECT have JOB HISTORY
o e-mail
* turnover # id belong to # start date
* segment o end date
close
* description * function
expertise for * salary
divided METEOROLOGICAL o evaluation
in
PORTFOLIO SUB INSTITUTE
PROJECT closed by CONTRACT # id
# name # id * name WEATHER EQUIPMENT
* start date * task * country # date # id
o end date # time * description
* value
o quality forecast
* description # location
forecasted by used for
* temperature
closed for
* humidity
* wind speed
have influence * precipitations
used for use have part of assigned influenced by * influence
MATERIAL PROJECT STAGE
# id # id
bought use
* description * start date
from
* proposed end date
o bill
worldbase
14. STRABAG Modeling: Companies
Structural rules
COMPANY STRABAG needs to keep track of all companies they had
# cui
* name
worked in the past or are working with. The name and profile
* profile of every such company is retained.
* address
* date founded
* balance sheet The profile and the date founded attributes help to select
* turnover
only experienced companies in a specific field.
The balance sheet describes the income of a company in
the last year while the turnover refers to the amount of
money it circulates.
Each company is identified by its unique registration code
(cui). It is important to know that cui contains the initials of
the company’s country.
worldbase 14 / 32
15. STRABAG Modeling: Companies
Structural rules
COMPANY In order to know the work quality of another company,
# cui
* name
STRABAG wants to study its PORTFOLIO PROJECTS . They
* profile are also interested in the period of time when the portfolio
have * address
* date founded project took place. A PORTFOLIO PROJECT is identified by its
* balance sheet name and its LOCATION . Each PORTFOLIO PROJECT must be
* turnover
belong to placed at one and only one LOCATION and each LOCATION
EXPERTISE may be the place of one or more PORTFOLIO PROJECTS .
# start date
o end date
However, some companies could still have no expertise.
refer to
* task
placed the place
Sometimes, two or more companies work for the same
appear on
at of PORTFOLIO PROJECT . Thus, we created the EXPERTISE
PORTFOLIO LOCATION entity (a list of companies’ involvement into projects) to
PROJECT # id solve the M:M relationship. For each company, we store the
* country
# name
* start date
o address tasks achieved in each PORTFOLIO PROJECT and the
o end date
o longitude
o latitude
achievement period.
o quality
The attribute end date, in both PORTFOLIO PROJECT and
EXPERTISE entities, is optional as it might be unknown for
current projects.
worldbase 15 / 32
16. STRABAG Modeling: Companies
Structural rules
signed by the signer of
CONTRACT COMPANY A company may be:
# id # cui
* category * name
* purpose * profile - the signer (client) of one or more CONTRACTS ,
* estimated value * address
* start date * date founded - the signer (subcontractor) of one or more SUBCONTRACTS ,
* proposed end date * balance sheet - the supplier (seller) of one or more material ACQUISITIONS .
* description * turnover
the the
signer supplier
of
The CONTRACT must be signed by one and only one
of
signed by
company. The client cannot be changed once the CONTRACT
SUB made from is signed. The company that signs a SUBCONTRACT cannot
CONTRACT
# id ACQUISITION be changed either.
* task # date
* value * quantity
* description * price Thus, we made these two relationships nontransferable.
worldbase 16 / 32
17. STRABAG Modeling: Contracts
Structural rules
CONTRACT When STRABAG has a new client, our company creates a
# id
* category
contract in which the purpose and description of the work,
* purpose the period of time between the moment the contract is
* estimated value
* start date signed and the one the contract is finished, the estimated
* proposed end date value of the entire project are retained. A contract is
* description
identified by its id.
include
The category attribute indicates one of the three activity
sectors of STRABAG (Building construction & Construction
part of engineering, Road construction, Tunneling & Services) or
PROJECT STAGE Other, when the project belongs to none of the sectors.
# id
* start date
* proposed end date
o bill
The construction projects are divided into PROJECT STAGES
which should be accomplished in a predefined period of
time. PROJECT STAGES are part of a contract and each one
has its own id.
The proposed end date for a CONTRACT / PROJECT STAGE is
the date when the entire project or a specific project stage
should be finished.
worldbase 17 / 32
18. STRABAG Modeling: Subcontracts
Structural rules
COMPANY
# cui
* name A subcontract is realized between STRABAG and another
* profile
* address
COMPANY for a PROJECT STAGE . When a subcontract is
* date founded signed, the following information is stored: its task, value
* balance sheet
* turnover and description.
signer of SUB
signed by
CONTRACT The value attribute refers to the estimated cost of the
# id
closed for
* task subcontract.
* value
* description
the subject of We identify the subcontract by the COMPANY that signed it,
PROJECT STAGE the PROJECT STAGE it was closed for, and also by an
# id artificial unique identifier, id, which permits more
* start date
* proposed end date subcontracts between STRABAG and a COMPANY for the
o bill
same PROJECT STAGE .
worldbase 18 / 32
19. STRABAG Modeling: Project Stages
Structural rules
closed SUB
for
CONTRACT
# id If there are STRABAG workers assigned to do specific
* task
* value tasks for a project stage, then a WORK SCHEDULE is
* description USAGE related. An EQUIPMENT SCHEDULE is retained in the case
the for LIST
subject # time of STRABAG EQUIPMENT involvement. For specific
of the subject of
* quantity project stages, COMPANIES may be subcontracted.
PROJECT STAGE Therefore, a project stage may be the subject of one or
# id WORK
* start date
SCHEDULE
more SUBCONTRACTS . A USAGE LIST is also related if the
* proposed end date
o bill # start date project stage requires materials that are in our company’s
# start time
the the the subject of o end date possession.
subject subject o end time
of of
* task
for
Each project stage is identified by the id of the CONTRACT
EQUIPMENT it is part of, and its own id.
for SCHEDULE
# start date
for # start time The proposed end date is the date when the project stage
INFLUENCE o end date
* description o end time
should be finished, according to the CONTRACT .
The bill represents the amount of money STRABAG
receives when a project stage is finished.
worldbase 19 / 32
20. STRABAG Modeling: Materials
Structural rules
ACQUISITION
refer to
# date STRABAG obtains the necessary materials for a project by
* quantity
* price buying them. That is why it needs to have a record of the
acquired materials and the used ones. The evidence of
materials is done depending on the date of ACQUISITION .
the subject of In addition, our company must know the quantity and price
MATERIAL
of acquired material. The quantity of used materials at a
# id certain moment is also important and it is stored in a
* description
USAGE LIST . Materials are identified by an artificial unique
the subject of
identifier, id. Each material is chosen for specific weather
conditions. It is necessary to retain a description of the
material because while a project is undergoing, the
USAGE LIST weather may change and our company would need to
# date
refer to
* quantity change those with more adequate ones.
Assumptions
The materials are used in the order they are acquired.
STRABAG does not have any material loss.
worldbase 20 / 32
21. STRABAG Modeling: Equipment
Structural rules
PROJECT STAGE STRABAG uses much equipment in many PROJECT STAGES
# id
* start date
and it is interested in equipment repartition in time.
* proposed end date
o bill
The description is also important for choosing the best
the subject of
equipment for a specific PROJECT STAGE . The equipment
EQUIPMENT has assigned an artificial identifier, id.
# id
* description
used by
We had to solve the M:M relationship by creating the
EQUIPMENT SCHEDULE entity, in which we included the time
for refer to
interval (start date, start time, end date, end time).
EQUIPMENT
SCHEDULE STRABAG is interested in retaining an EQUIPMENT
# start date
# start time
SCHEDULE .
o end date
o end time
A schedule is identified by the equipment it refers to and by
the PROJECT STAGE for which that equipment is used.
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22. STRABAG Modeling: Employees
MEDICAL Structural rules
RECORD
belong to # number
* disease
All companies keep track of their employees. STRABAG
* start date
o end date
makes no exception. An Employee’s file contains personal
o indication data such as: first name, last name, date of birth,
have residence state, residence address, phone number, e-mail.
EMPLOYEE
# id Employees are assigned an unique identifier, id.
#1 social number
#1 residence state
* first name An employee can also be identified by his social number
* last name
* date of birth and residence state.
* residence address
o phone number
o e-mail
There may be certain situations in which an employee is
not allowed to do a specific task, because of a disease that
have
JOB HISTORY
has a medical indication for a certain period of time,
belong to
# start date defined by a start date and an end date. This data is
o end date
* function stored in the MEDICAL RECORD .
* salary
o evaluation
For retaining the personal evolution of any person in the
company, we created the JOB HISTORY entity. In this, a
start date, end date, function, salary and evaluation are
stored.
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23. STRABAG Modeling: Employees
supervised by
appear in Structural rules
EMPLOYEE An employee may have many functions at the same time:
refer to supervise
# id
DESIGN #1 social number
#1 residence state
TEAM * first name - be in charge of a WORK SCHEDULE with specific tasks,
o task * last name - appear with a task in the DESIGN TEAM for a project,
* date of birth
* residence address - appear as project manager (pm) on CONTRACTS ,
appear as pm on o phone number
o e-mail
- supervise one or more employees.
in charge of
have as pm
Assumption
CONTRACT
# id STRABAG retains a WORK SCHEDULE for tasks related to
* category PROJECT STAGES only.
refer to
* purpose
* estimated value WORK
* start date
* proposed end date
SCHEDULE Hired persons who have none of these functions have tasks
# start date
* description
# start time that depend on their current job.
o end date
o end time
* task
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24. STRABAG Modeling: Weather
LOCATION Structural rules
# id
* country
TIME o address The weather is measured on specific LOCATIONS in various
# date o longitude
o latitude
moments of TIME . We solved the M:M relation by creating
# time
registration registration place of
the WEATHER MEASUREMENT entity. The measurement
moment of
registered on registered at consists of: temperature, humidity, wind speed and
WEATHER
precipitations. Meteorological data always influences the
forecasted
by
MEASUREMENT activities of our company.
* temperature
* humidity
* wind speed If the relationship between the WEATHER MEASUREMENT
* precipitations
and METEOROLOGICAL INSTITUTE entities does not exist,
generate
generated by
this is a measurement made by STRABAG. Else, it is a
forecast provided by that particular institute.
INFLUENCE
* description
forecast Each TIME must have a forecast, a measurement made by
METEOROLOGICAL INSTITUTE STRABAG, or both.
# id
* name
* country Assumption
We only retain TIMES when STRABAG works at PROJECT
STAGES . In those TIMES , weather is measured.
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25. STRABAG Explanations, Constraints
Explanations Constraints
Each end date/time that For a LOCATION , the address is retained when the longitude
appears as an optional and latitude are not.
attribute represents the
real, not estimated, end A stored COMPANY has at least one of the relations with
date/time and it is filled CONTRACT , SUBCONTRACT or ACQUISITION .
when the particular activity
is finished. Each LOCATION has at least one of the relations with
PORTFOLIO PROJECT or WEATHER MEASUREMENT .
STRABAG experts can
evaluate PORTFOLIO Each end date/time must be greater than its corresponding
PROJECTS / JOB HISTORY start date/time. The same EQUIPMENT cannot be used for
through a scale of 1 to 10 more PROJECT STAGES at the same time. An EMPLOYEE
and update the result in cannot be assigned or work for more than one PROJECT
the quality/evaluation STAGE task at a certain moment. A JOB HISTORY must also
fields. contain intervals of time that do not overlap.
The geographical coordinates of a LOCATION , if they are
retained, represent the center of the area. We can identify a
LOCATION from a large surface (region) to a specific point,
defined by its address or longitude and latitude.
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26. Final ERD signer of
signed
by have as pm
appear as
pm on supervised by
PORTFOLIO COMPANY CONTRACT EMPLOYEE
supervise
placed PROJECT # cui # id # id
at # name * name * category #1 social number
have
* start date * profile * purpose #1 residence state
o end date * address * estimated value * first name belong to
o quality * date founded * start date * last name
* balance sheet * proposed end date * date of birth JOB
appear on have
* turnover * description * residence address HISTORY
o phone number # start date
supplier of signer of include designed o e-mail o end date
by
refer to belong to SUB * function
signed by appear in in charge have
* salary
EXPERTISE CONTRACT of
o evaluation
# start date # id
closed for
o end date made from * task refer to
* task * value MEDICAL
ACQUISITION * description DESIGN belong to
# date
design
TEAM RECORD
* quantity the subject part of o # number
refer to task
* price of * disease
the subject of refer to
PROJECT STAGE the * start date
subject
# id of WORK
o end date
MATERIAL the
refer to
for the subject
* start date o indication
# id subject of of
* proposed end date
for SCHEDULE
* description USAGE LIST o bill # start date
# date # start time
o end date
* quantity the subject of the
subject o end time
of * task
LOCATION registration place of registered at WEATHER
# id
the MEASUREMENT EQUIPMENT
* country
place registration registered * temperature used by # id
of
o address TIME
o longitude moment of on * humidity * description
# date refer to
o latitude # time * wind speed
* precipitations
forecast
forecasted by for EQUIPMENT
generate SCHEDULE
METEOROLOGICAL INSTITUTE generated by for # start date
# id # start time
o end date
* name INFLUENCE
* country * description o end time
worldbase
27. STRABAG Sample Mapping: Weather
LOCATION
# id
* country
o address
TIME
o longitude
# date
o latitude
# time
registration registration place of
moment of
registered on registered at
WEATHER
forecasted
by MEASUREMENT
* temperature
* humidity
* wind speed
* precipitations
METEOROLOGICAL
INSTITUTE
# id
forecast
* name
* country
worldbase 27 / 32
28. STRABAG Sample Mapping: Employees
supervised by
EMPLOYEE supervise
# id
#1 social number have
#1 residence state
* first name belong
* last name
* date of birth JOB
* residence address HISTORY
o phone number
# start date
o e-mail o end date
* function
have
* salary
o evaluation
MEDICAL
RECORD
belong # number
* disease
* start date
o end date
o indication
worldbase 28 / 32
29. STRABAG Sample Report: Output
STRABAG would like to
know the construction
output volume (in percents)
for 2006.
STRABAG wants to find
out the output by segment.
It is also interested in the
output by region, where
regions must be divided in:
Germany, Austria, CEE
and the rest of the world.
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30. STRABAG Sample Report: Growth
STRABAG wants to know
the construction growth (in
percents) by country
CAGR 06-09E*.
*All European Euroconstruct
countries (EC-19). Source: 63rd
Euroconstruct Conference
Summary Report.
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31. STRABAG Sample Report: Weather
STRABAG would like to
know the locations where
projects were finalized
later than planned, due to
weather conditions.
Projects delayed between six and twelve days.
Projects delayed more than twelve days.
worldbase 31 / 32
32. STRABAG Conclusions
We imagined that we were The research for the project helped us learn how to find data
part of STRABAG INFO about STRABAG activities and how to select only relevant
SYS division and we were information from it.
assigned to come up with
By studying STRABAG, we learnt the mechanisms of a real
an informational system to
world construction company: the making of a contract, the
organize its global
subcontracting procedures, activities of employees and the
business.
transition stages from project to structure.
We wanted our database
We also improved our communication skills, by learning how
to keep up with increasing
to interview our reference, how to ask clear questions in
business demands, so
order to get complete answers, and how to make our project
flexibility and efficiency
presentation in front of our classmates:
were the key elements
when we imagined it.
Our database is a reliable
solution that satisfies the
actual business needs.
worldbase 32 / 32