12,911 Hits in 6.7 sec

Leading Information and Communication Technologies for Smart Manufacturing: Facing the New Challenges and Opportunities of the 4th Industrial Revolution

Santa Di Cataldo, Sukhan Lee, Enrico Macii, Birgit Vogel-Heuser
2021 Proceedings of the IEEE  
After reviewing the latest perspectives on using digital integration frameworks, methods, and solutions for lifecycle engineering of CPPS, they try to demonstrate how a suitable framework can be realized  ...  Smart Virtualization for A Methodology for Digital Twin Modeling and Deployment for A Connective Framework to Support the Lifecycle of Cyber-Physical Production Systems by R. Harrison, D. A.  ...  She served as a speaker of the DFG Collaborative Research Centre 768 "Managing Cycles in Innovation Processes" and a member of the Coordination Board of the DFG Priority Program 1593 "Design for Future  ... 
doi:10.1109/jproc.2021.3064103 fatcat:7ccit7bqerhvfe3whrjowmjv6y

Machine Learning Model Development from a Software Engineering Perspective: A Systematic Literature Review [article]

Giuliano Lorenzoni and Paulo Alencar and Nathalia Nascimento and Donald Cowan
2021 arXiv   pre-print
Data scientists often develop machine learning models to solve a variety of problems in the industry and academy but not without facing several challenges in terms of Model Development.  ...  how software developers could benefit from applying or adapting the traditional software engineering process to the Machine Learning workflow.  ...  The study also could be extended in order to check the impact of Software Engineering Processes in systems based on specific Machine Learning Algorithms (or in machine learning based systems characterized  ... 
arXiv:2102.07574v1 fatcat:zxitdoe37nfsjpnsmksytrkgf4

A flexible approach to web component packaging

Hussein Suleman, Siyabonga Mhlongo
2006 Proceedings of the 2006 annual research conference of the South African institute of computer scientists and information technologists on IT research in developing couuntries - SAICSIT '06  
This paper discusses a solution to one of the emerging complexity-related problems: how to package and distribute applications based on Web components for rapid and flexible deployment.  ...  In addition, the process of developing a proof-of-concept packaging system and the feedback from users has provided a useful set of requirements and guidelines for building such systems in future.  ...  In keeping with this theme, this research investigated the effects of introducing a packaging solution for Web-based software systems, paying particular attention to the processes of encapsulating a Web-based  ... 
doi:10.1145/1216262.1216290 fatcat:nlfwq4cf6vfvheku6dx6gnhz44

Architecture-Instrument: The Architecture-Machine Origins and Frameworks of Machinic Line of Thinking in Architecture [chapter]

Dragana Ćirić
2020 International Academic Conference on Places and Technologies  
The analysed examples and sources will establish a clear outline and framework of the machinic line of thinking in architecture, enabling one thus to discern and better understand the architecture-machine  ...  The paper will aim to introduce the format of the architecture-instrument as a specific spatial model for the converged architectural artistic and scientific design research and practice.  ...  construction systems and their design processes and solutions, rendering architecture's machinic character.  ... 
doi:10.18485/arh_pt.2020.7.ch54 fatcat:oe5bqn72d5f23nbbljr2gg7mea

Agility in Software 2.0 – Notebook Interfaces and MLOps with Buttresses and Rebars [article]

Markus Borg
2021 arXiv   pre-print
Solutions based on machine learning bring both great opportunities, thus coined "Software 2.0," but also great challenges for the engineering community to tackle.  ...  Machine learning-based solutions are dynamic in nature, and we argue that reinforced continuous engineering is required to quality assure the trustworthy AI systems of tomorrow.  ...  Acknowledgements Martin Jakobsson and Johan Henriksson are the co-creators of the solution presented in Section 1.2 and deserve all credit for this work.  ... 
arXiv:2111.14142v1 fatcat:alm4wx5dtfhldldurpl5hz26gi

Review of Recent Developments in Ergonomic Design and Digital Human Models

Rajesh Raghunathan, Srinath R
2016 Industrial Engineering & Management  
A DHM based intervention framework is proposed that attempts to integrate human and machine performance metrics in making interventions, thereby making a sustainable human compatible system.  ...  Ergonomic interventions and ergonomic redesign are researched upon today in the realms of 'Prevention through Design' towards addressing the occupational health and safety concerns of the industry.  ...  The authors appreciate the efforts put in by Prof Reena Murali, Associate Professor in Computer Science and Engg, RIT Kottayam for the constructive suggestions and technical editing.  ... 
doi:10.4172/2169-0316.1000186 fatcat:66v5osvzo5cpnkmi6rmhxnpmwu

Reliable Fleet Analytics for Edge IoT Solutions [article]

Emmanuel Raj, Magnus Westerlund, Leonardo Espinosa-Leal
2021 arXiv   pre-print
In this paper, we propose a framework for facilitating machine learning at the edge for AIoT applications, to enable continuous delivery, deployment, and monitoring of machine learning models at the edge  ...  In recent years we have witnessed a boom in Internet of Things (IoT) device deployments, which has resulted in big data and demand for low-latency communication.  ...  The main driver for reliable edge solutions may be the increase of regional legislation in the digital space [16] .  ... 
arXiv:2101.04414v1 fatcat:2v6fe2ugbjbilcyiymy32kiziy

Data-Centric Engineering: integrating simulation, machine learning and statistics. Challenges and Opportunities [article]

Indranil Pan, Lachlan Mason, Omar Matar
2021 arXiv   pre-print
We review the key research trends and application scenarios in the emerging field of integrating simulations, machine learning, and statistics.  ...  New hybrid, data-centric engineering approaches, leveraging the best of both worlds and integrating both simulations and data, are emerging as a powerful tool with a transformative impact on the physical  ...  UKRI Strategic Priorities Fund under the EPSRC Grant EP/T001569/1, particularly the Digital Twins for Complex Engineering Systems theme within that grant, and the Royal Academy of Engineering through  ... 
arXiv:2111.06223v2 fatcat:ejwhon6envhandje4twvatgliq

Low-code engineering for internet of things

Felicien Ihirwe, Davide Di Ruscio, Silvia Mazzini, Pierluigi Pierini, Alfonso Pierantonio
2020 Proceedings of the 23rd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings  
of existing platforms, and in particular lowcode ones, for developing IoT systems.  ...  CCS CONCEPTS • Software and its engineering → Model-driven software engineering. KEYWORDS Model Driven Engineering (MDE), IoT, Low-code Engineering ACM Reference Format:  ...  This will be done by the merge of model-driven engineering, cloud computing, and machine learning techniques.  ... 
doi:10.1145/3417990.3420208 dblp:conf/models/IhirweRMPP20 fatcat:64yroz7b25hbrp2qrjfimkhhee

The Duo of Artificial Intelligence and Big Data for Industry 4.0: Review of Applications, Techniques, Challenges, and Future Research Directions [article]

Senthil Kumar Jagatheesaperumal, Mohamed Rahouti, Kashif Ahmad, Ala Al-Fuqaha, Mohsen Guizani
2021 arXiv   pre-print
, challenges, and research perspective towards deployment of Industry 5.0.  ...  In a nutshell, we have explored the significance of AI and Big data towards Industry 4.0 applications through panoramic reviews and discussions.  ...  ACKNOWLEDGMENT The authors gratefully acknowledge the Management, and Faculty of Mepco Schlenk Engineering College, Sivakasi, India for their support and extending necessary facilities to carry out this  ... 
arXiv:2104.02425v2 fatcat:r25gug6wmrbyjnreiewprdvqpa

Intent-driven Autonomous Network and Service Management in Future Networks: A Structured Literature Review [article]

Kashif Mehmood, Katina Kralevska, David Palma
2021 arXiv   pre-print
Intent driven networks are an essential stepping stone in the evolution of network and service management towards a truly autonomous paradigm.  ...  User centric intents provide an abstracted means of impacting the design, provisioning, deployment and assurance of network infrastructure and services with the help of service level agreements and minimum  ...  The concept of microservices [90] adopted from software engineering can provide the decomposition of the service design lifecycle into individual sub-services in order to construct the services according  ... 
arXiv:2108.04560v1 fatcat:s2jur5xm6jh55nt5fq7qp35rey

Serverless on FHIR: Deploying machine learning models for healthcare on the cloud [article]

Bell Raj Eapen, Kamran Sartipi, Norm Archer
2020 arXiv   pre-print
Machine Learning (ML) plays a vital role in implementing digital health. The advances in hardware and the democratization of software tools have revolutionized machine learning.  ...  We introduce a functional taxonomy and a four-tier architecture for cloud-based model deployment for digital health.  ...  Use cases and examples To demonstrate the use of our framework for deployment, we describe how to build and deploy a machine learning model from a national database.  ... 
arXiv:2006.04748v1 fatcat:ivk2yffpynbkndbjry7av5ma3m

Low-code Engineering for Internet of things: A state of research [article]

Felicien Ihirwe, Davide Di Ruscio, Silvia Mazzini, Pierluigi Pierini, Alfonso Pierantonio
2020 arXiv   pre-print
of existing platforms, and in particular low-code ones, for developing IoT systems.  ...  We also identify the limitations of already existing approaches and discuss possible ways to improve and address them in the future.  ...  This will be done by the merge of model-driven engineering, cloud computing, and machine learning techniques.  ... 
arXiv:2009.01876v2 fatcat:ar6n56a35bgphitedos74ukbai

The Role of AI, Machine Learning, and Big Data in Digital Twinning: A Systematic Literature Review, Challenges, and Opportunities

M. Mazhar Rathore, Syed Attique Shah, Dhirendra Shukla, Elmahdi Bentafat, Spiridon Bakiras
2021 IEEE Access  
Therefore, this article emphasizes the role of big data and AI-ML in the creation of digital twins (DTs) or DT-based systems for various industrial applications, by highlighting the current state-ofthe-art  ...  The integration of big data analytics and artificial intelligence/machine learning (AI-ML) techniques with digital twinning, further enriches its significance and research potential with new opportunities  ...  The authors created a digital twin of an excavator along with a virtual game for the course of construction management and engineering.  ... 
doi:10.1109/access.2021.3060863 fatcat:cvm5ubwwrbcdph5z37dvdodgx4

Industrial Digital Twins at the Nexus of NextG Wireless Networks and Computational Intelligence: A Survey [article]

Shah Zeb, Aamir Mahmood, Syed Ali Hassan, MD. Jalil Piran, Mikael Gidlund, Mohsen Guizani
2021 arXiv   pre-print
systems (CPS) and digital twin (DT) for monitoring, optimization, and prognostics of industrial processes.  ...  Like CPS, DT relies on communication to create a highly-consistent, synchronized digital mirror image of the objects or physical processes.  ...  Meanwhile, DT is a living virtual or digital image/softwarized model that can be built for robots, machines, or the physical process of the entire A.  ... 
arXiv:2108.04465v1 fatcat:gbf365ldgbdcnfdbiecirm454q
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