Industry 4.0 – lessons from large and small firmsShaun West
Key note presented at the Konferenz Perspektiven mit Industrie 4.0 ZHAW, Winterthur, 6 September 2017.
The paper described real examples of digital solutions from large and small firms. It closes with the Data-to-Action model that has been developed by Shaun West, Petra Müeller-Csernetzky and Mario Rapaccini.
A Reference Architecture for Digitalization in the Pharmaceutical IndustryCapgemini
A Reference Architecture for Digitalization in the Pharmaceutical Industry - Alina Chircu, Bentley University; Levent Sözer, Capgemini Germany; Eldar Sultanow, Capgemini Germany
INFORMATIK 2017
47. Jahrestagung der Gesellschaft für Informatik e.V. (GI) | 25.-29.9.2017 | Chemnitz
Workshop Enterprise Architecture Management in Forschung und Praxis
Internet of Industrial Things Presentation - Sophie Peachey - IoT Midlands Me...WMG, University of Warwick
Sophie Peachey, Director of Innovation & Insight at Axillium Research Ltd discusses a new funding opportunity through the Advanced Manufacturing Supply Chain Initiative in the area of the Internet of Things.
Building Reference Architectures for the Industrial IoTCapgemini
Building Reference Architectures for the Industrial IoT - Alina Chircu, Bentley University; Eldar Sultanow, Capgemini Germany
Workshop on Smart Manufacturing in Aerospace and Automotive Industries
AIS Special Interest Group for Big Data Application in Processes (SIGBD), AMCIS 2017, Boston, USA
Industry 4.0 – lessons from large and small firmsShaun West
Key note presented at the Konferenz Perspektiven mit Industrie 4.0 ZHAW, Winterthur, 6 September 2017.
The paper described real examples of digital solutions from large and small firms. It closes with the Data-to-Action model that has been developed by Shaun West, Petra Müeller-Csernetzky and Mario Rapaccini.
A Reference Architecture for Digitalization in the Pharmaceutical IndustryCapgemini
A Reference Architecture for Digitalization in the Pharmaceutical Industry - Alina Chircu, Bentley University; Levent Sözer, Capgemini Germany; Eldar Sultanow, Capgemini Germany
INFORMATIK 2017
47. Jahrestagung der Gesellschaft für Informatik e.V. (GI) | 25.-29.9.2017 | Chemnitz
Workshop Enterprise Architecture Management in Forschung und Praxis
Internet of Industrial Things Presentation - Sophie Peachey - IoT Midlands Me...WMG, University of Warwick
Sophie Peachey, Director of Innovation & Insight at Axillium Research Ltd discusses a new funding opportunity through the Advanced Manufacturing Supply Chain Initiative in the area of the Internet of Things.
Building Reference Architectures for the Industrial IoTCapgemini
Building Reference Architectures for the Industrial IoT - Alina Chircu, Bentley University; Eldar Sultanow, Capgemini Germany
Workshop on Smart Manufacturing in Aerospace and Automotive Industries
AIS Special Interest Group for Big Data Application in Processes (SIGBD), AMCIS 2017, Boston, USA
One datum and many values for sustainable Industry 4.0: a prognostic and hea...IJECEIAES
Industrial context of today, driven by the Industry 4.0 paradigm, is overwhelmed by data. Decreasing cost of innovative technologies, and recent market dynamics have pushed and pulled respectively for those architectures and practices in which data are the masters. While advancing, we have to take care of waste, even though intangibility of data makes them hardly connected to waste. In this paper we are going to reflect on data intensive context of today, focusing on the industrial sector. A smart approach for fully exploiting data collecting infrastructures is proposed, and its declination in a prognostic and health management (PHM) use case set inside an automatic painting system is presented. The contributions of this papers are mainly two: first of all, the general conceptual take-away of "data re-use" is presented and discussed. Moreover, a PHM solution for painting system's number plates, based on optical character recognition (OCR), is proposed and tested as a proof-of-concept for the "data re-use" concept. Summarizing, the already-in-use data sharing principle for achieving transparency and integration inside Industry 4.0, is presented as complementary with the proposed "data re-use", in order to develop a really sustainable shift toward the future.
Data Science at Roche: From Exploration to Productionization - Frank BlockRising Media Ltd.
The excitement about the potential opportunities for leveraging data by means of advanced analytics is huge. But, the honeymoon between business and data science is over. Stakeholders want to see value generation from data science. At Roche Diagnostics the Data Science Lab was created. Its mission is to explore business opportunities for data science across the company and to deliver productive, algorithm based systems that create impact. In his keynote, Frank presented some examples of data science initiatives going from data exploration over predictive modelling to productionization. Some of the challenges encountered were addressed as well as the learnings.
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.
International Journal of Computer Vision and machine learning (IJCVML) MiajackB
International Journal of Computer Vision and machine learning (IJCVML) is an open access, peer-reviewed journal that publishes articles which contribute new results in all areas of the advanced vision computing. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on understanding advances in vision computing and establishing new collaborations in these areas. Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of vision computing.
Breaking up the silos - Utilizing data across companies and domains - Reflect...Symposium on Society 5.0
Keynote speech by Prof. Dr.-Ing. habil. Peter Liggesmeyer, Fraunhofer IESE.
Abstract:
Digital Transformation affects many companies and industries in a variety of domains. Intelligent use of data shapes new ecosystems and enables new business models that often span a variety of different domains. This keynote will provide insights from two perspectives: the perspective of Fraunhofer that enables industries in Europe and beyond to be pioneers in this new world. This perspective will provide information on initiatives such as the Fraunhofer Data Spaces and International Data Spaces Association, and Industrie 4.0 initiatives such as the BaSys 4.0 project that aims at a unified middleware for Industrie 4.0, which is led by Fraunhofer IESE. Important aspects such as the role of business models, guaranteeing system-level qualities, and engineering and simulation of ecosystems will be part of this perspective. The second perspective is a personal perspective as former president of the German Informatics Society which also touches societal aspects.
As an independent inventor I have pre-developed a product called "Automatic PUB meter Reading Recognition System (APRRS)" which is designed for remote meter reading without modifying existing meter.I would like to commercialize my invention, hence i am looking for a potential partner who would be interested in manufacturing and marketing this device.APRRS Patent Pending application No.200805783-8.
The main objective of the OSMOSE project is to develop a reference architecture, a middleware and some prototypal applications for the Sensing-Liquid Enterprise, by interconnecting Real, Digital and Virtual Worlds in the same way a semi-permeable membrane permits the flow of liquid particles through itself.
Website -- http://www.osmose-project.eu
FB Page -- https://www.facebook.com/OSMOSEProject
LinkedIn Group -- https://www.linkedin.com/grp/home?gid=6506419
YouTube channel -- https://www.youtube.com/channel/UC4n1zUxXrmGKeFrTE6IGbBw
Industrial Data Space - Why we need a European Initiative on Data SovereigntyThorsten Huelsmann
IDS stands for safer data exchange between companies where the producer of data remains the owner of the data and maintains sovereignty over the use of that data.
IDS Association aims to define the conditions and governance for a reference architecture and interfaces aiming at international standards.
An Empirical Study of the Improved SPLD Framework using Expert Opinion TechniqueIJEACS
Due to the growing need for high-performance and low-cost software applications and the increasing competitiveness, the industry is under pressure to deliver products with low development cost, reduced delivery time and improved quality. To address these demands, researchers have proposed several development methodologies and frameworks. One of the latest methodologies is software product line (SPL) which utilizes the concepts like reusability and variability to deliver successful products with shorter time-to-market, least development and minimum maintenance cost with a high-quality product. This research paper is a validation of our proposed framework, Improved Software Product Line (ISPL), using Expert Opinion Technique. An extensive survey based on a set of questionnaires on various aspects and sub-processes of the ISPLD Framework was carried. Analysis of the empirical data concludes that ISPL shows significant improvements on several aspects of the contemporary SPL frameworks.
A machine learning model for predicting innovation effort of firmsIJECEIAES
Classification and regression tree (CART) data mining models have been used in several scientific fields for building efficient and accurate predictive models. Some of the application areas are prediction of disease, targeted marketing, and fraud detection. In this paper we use CART which widely used machine learning technique for predicting research and development (R&D) intensity or innovation effort of firms using several relevant variables like technical opportunity, knowledge spillover and absorptive capacity. We found that accuracy of CART models is superior to the often-used linear parametric models. The results of this study are considered necessary for both financial analysts and practitioners. In the case of financial analysts, it establishes the power of data-driven prototypes to understand the innovation thinking of employees, whereas in the case of policymakers or business entrepreneurs, who can take advantage of evidence-based tools in the decision-making process.
One datum and many values for sustainable Industry 4.0: a prognostic and hea...IJECEIAES
Industrial context of today, driven by the Industry 4.0 paradigm, is overwhelmed by data. Decreasing cost of innovative technologies, and recent market dynamics have pushed and pulled respectively for those architectures and practices in which data are the masters. While advancing, we have to take care of waste, even though intangibility of data makes them hardly connected to waste. In this paper we are going to reflect on data intensive context of today, focusing on the industrial sector. A smart approach for fully exploiting data collecting infrastructures is proposed, and its declination in a prognostic and health management (PHM) use case set inside an automatic painting system is presented. The contributions of this papers are mainly two: first of all, the general conceptual take-away of "data re-use" is presented and discussed. Moreover, a PHM solution for painting system's number plates, based on optical character recognition (OCR), is proposed and tested as a proof-of-concept for the "data re-use" concept. Summarizing, the already-in-use data sharing principle for achieving transparency and integration inside Industry 4.0, is presented as complementary with the proposed "data re-use", in order to develop a really sustainable shift toward the future.
Data Science at Roche: From Exploration to Productionization - Frank BlockRising Media Ltd.
The excitement about the potential opportunities for leveraging data by means of advanced analytics is huge. But, the honeymoon between business and data science is over. Stakeholders want to see value generation from data science. At Roche Diagnostics the Data Science Lab was created. Its mission is to explore business opportunities for data science across the company and to deliver productive, algorithm based systems that create impact. In his keynote, Frank presented some examples of data science initiatives going from data exploration over predictive modelling to productionization. Some of the challenges encountered were addressed as well as the learnings.
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.
International Journal of Computer Vision and machine learning (IJCVML) MiajackB
International Journal of Computer Vision and machine learning (IJCVML) is an open access, peer-reviewed journal that publishes articles which contribute new results in all areas of the advanced vision computing. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on understanding advances in vision computing and establishing new collaborations in these areas. Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of vision computing.
Breaking up the silos - Utilizing data across companies and domains - Reflect...Symposium on Society 5.0
Keynote speech by Prof. Dr.-Ing. habil. Peter Liggesmeyer, Fraunhofer IESE.
Abstract:
Digital Transformation affects many companies and industries in a variety of domains. Intelligent use of data shapes new ecosystems and enables new business models that often span a variety of different domains. This keynote will provide insights from two perspectives: the perspective of Fraunhofer that enables industries in Europe and beyond to be pioneers in this new world. This perspective will provide information on initiatives such as the Fraunhofer Data Spaces and International Data Spaces Association, and Industrie 4.0 initiatives such as the BaSys 4.0 project that aims at a unified middleware for Industrie 4.0, which is led by Fraunhofer IESE. Important aspects such as the role of business models, guaranteeing system-level qualities, and engineering and simulation of ecosystems will be part of this perspective. The second perspective is a personal perspective as former president of the German Informatics Society which also touches societal aspects.
As an independent inventor I have pre-developed a product called "Automatic PUB meter Reading Recognition System (APRRS)" which is designed for remote meter reading without modifying existing meter.I would like to commercialize my invention, hence i am looking for a potential partner who would be interested in manufacturing and marketing this device.APRRS Patent Pending application No.200805783-8.
The main objective of the OSMOSE project is to develop a reference architecture, a middleware and some prototypal applications for the Sensing-Liquid Enterprise, by interconnecting Real, Digital and Virtual Worlds in the same way a semi-permeable membrane permits the flow of liquid particles through itself.
Website -- http://www.osmose-project.eu
FB Page -- https://www.facebook.com/OSMOSEProject
LinkedIn Group -- https://www.linkedin.com/grp/home?gid=6506419
YouTube channel -- https://www.youtube.com/channel/UC4n1zUxXrmGKeFrTE6IGbBw
Industrial Data Space - Why we need a European Initiative on Data SovereigntyThorsten Huelsmann
IDS stands for safer data exchange between companies where the producer of data remains the owner of the data and maintains sovereignty over the use of that data.
IDS Association aims to define the conditions and governance for a reference architecture and interfaces aiming at international standards.
An Empirical Study of the Improved SPLD Framework using Expert Opinion TechniqueIJEACS
Due to the growing need for high-performance and low-cost software applications and the increasing competitiveness, the industry is under pressure to deliver products with low development cost, reduced delivery time and improved quality. To address these demands, researchers have proposed several development methodologies and frameworks. One of the latest methodologies is software product line (SPL) which utilizes the concepts like reusability and variability to deliver successful products with shorter time-to-market, least development and minimum maintenance cost with a high-quality product. This research paper is a validation of our proposed framework, Improved Software Product Line (ISPL), using Expert Opinion Technique. An extensive survey based on a set of questionnaires on various aspects and sub-processes of the ISPLD Framework was carried. Analysis of the empirical data concludes that ISPL shows significant improvements on several aspects of the contemporary SPL frameworks.
A machine learning model for predicting innovation effort of firmsIJECEIAES
Classification and regression tree (CART) data mining models have been used in several scientific fields for building efficient and accurate predictive models. Some of the application areas are prediction of disease, targeted marketing, and fraud detection. In this paper we use CART which widely used machine learning technique for predicting research and development (R&D) intensity or innovation effort of firms using several relevant variables like technical opportunity, knowledge spillover and absorptive capacity. We found that accuracy of CART models is superior to the often-used linear parametric models. The results of this study are considered necessary for both financial analysts and practitioners. In the case of financial analysts, it establishes the power of data-driven prototypes to understand the innovation thinking of employees, whereas in the case of policymakers or business entrepreneurs, who can take advantage of evidence-based tools in the decision-making process.
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.
Instructions for Submissions thorugh G- Classroom.pptxJheel Barad
This presentation provides a briefing on how to upload submissions and documents in Google Classroom. It was prepared as part of an orientation for new Sainik School in-service teacher trainees. As a training officer, my goal is to ensure that you are comfortable and proficient with this essential tool for managing assignments and fostering student engagement.
Model Attribute Check Company Auto PropertyCeline George
In Odoo, the multi-company feature allows you to manage multiple companies within a single Odoo database instance. Each company can have its own configurations while still sharing common resources such as products, customers, and suppliers.
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
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdfTechSoup
In this webinar you will learn how your organization can access TechSoup's wide variety of product discount and donation programs. From hardware to software, we'll give you a tour of the tools available to help your nonprofit with productivity, collaboration, financial management, donor tracking, security, and more.
Palestine last event orientationfvgnh .pptxRaedMohamed3
An EFL lesson about the current events in Palestine. It is intended to be for intermediate students who wish to increase their listening skills through a short lesson in power point.
How to Make a Field invisible in Odoo 17Celine George
It is possible to hide or invisible some fields in odoo. Commonly using “invisible” attribute in the field definition to invisible the fields. This slide will show how to make a field invisible in odoo 17.
Synthetic Fiber Construction in lab .pptxPavel ( NSTU)
Synthetic fiber production is a fascinating and complex field that blends chemistry, engineering, and environmental science. By understanding these aspects, students can gain a comprehensive view of synthetic fiber production, its impact on society and the environment, and the potential for future innovations. Synthetic fibers play a crucial role in modern society, impacting various aspects of daily life, industry, and the environment. ynthetic fibers are integral to modern life, offering a range of benefits from cost-effectiveness and versatility to innovative applications and performance characteristics. While they pose environmental challenges, ongoing research and development aim to create more sustainable and eco-friendly alternatives. Understanding the importance of synthetic fibers helps in appreciating their role in the economy, industry, and daily life, while also emphasizing the need for sustainable practices and innovation.