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iQonic - State of the Art Analysis

Jovana Milenkovic
2010 Zenodo  
The iQonic consortium will test the developed platform with four uses cases before the end of the project. These use cases are briefly described and linked to the iQonic technologies in this report.  ...  The iQonic platform will be implemented using a holistic approach with eight strategies (DIAGNOSE, ADJUST, PREDICT, DETECT, PREVENT, MANAGE, SUSTAIN, REDESIGN), involving several different technologies  ...  Lacquey, a food manufacturing company, is using 3D vision systems and machine learning software to carry out complex tasks with a variety of foods.  ... 
doi:10.5281/zenodo.4620627 fatcat:7yy7u7mtqnbena7kcpec7gig6y

SemML: Facilitating development of ML models for condition monitoring with semantics

Baifan Zhou, Yulia Svetashova, Andre Gusmao, Ahmet Soylu, Gong Cheng, Ralf Mikut, Arild Waaler, Evgeny Kharlamov
2021
We demonstrate the benefits of SemML on a Bosch use-case of electric resistance welding with very promising results.  ...  In the age of Industry 4.0, where the aim is a deep degree of production automation, unprecedented amounts of data are generated by equipment and processes, and this enables adoption of Machine Learning  ...  We then evaluated SemML on a Bosch use case of welding quality monitoring, focusing on the first two semantic modules. To this end, we conducted a user study with 14 Bosch experts.  ... 
doi:10.5445/ir/1000139197 fatcat:47w3w54f6rgafj7mbwe7kk4ehu

Using Deep Learning to Detect Defects in Manufacturing: A Comprehensive Survey and Current Challenges

Jing Yang, Shaobo Li, Zheng Wang, Hao Dong, Jun Wang, Shihao Tang
2020 Materials  
The detection of product defects is essential in quality control in manufacturing. This study surveys stateoftheart deep-learning methods in defect detection.  ...  Third, we summarize and analyze the application of ultrasonic testing, filtering, deep learning, machine vision, and other technologies used for defect detection, by focusing on three aspects, namely method  ...  The deep semantic features of the object can be obtained. The detection accuracy of the object is high, whether it is a small object or a scene with considerable density.  ... 
doi:10.3390/ma13245755 pmid:33339413 pmcid:PMC7766692 fatcat:egyrdqjmqvebvoeaqf5yyi3cxm

Deep Learning for Multi-class Antisocial Behaviour Identification from Twitter

Ravinder Singh, Sudha Subramani, Jiahua Du, Yanchun Zhang, Hua Wang, Khandakar Ahmed, Zhenxiang Chen
2020 IEEE Access  
Lastly, the combination of the composed feature vectors is fed into the dense layer that spits out a corresponding prediction for a text corpus or a post in our case. • RNNs: The detailed workings of recurrent  ...  Following are the main objectives of this study: • A benchmark online antisocial behaviour corpora creation with multi-class annotation. • Accuracy comparison between traditional machine learning algorithms  ... 
doi:10.1109/access.2020.3030621 fatcat:i6jzo4btlzar5nfcgma62n5ynm

Hybrid Quality Inspection for the Automotive Industry: Replacing the Paper-Based Conformity List through Semi-Supervised Object Detection and Simulated Data

Isabel Rio-Torto, Ana Teresa Campaniço, Pedro Pinho, Vitor Filipe, Luís F. Teixeira
2022 Applied Sciences  
We propose instead a hybrid quality inspection system, where we combine automated detection with human feedback, to increase worker performance by reducing mental and physical fatigue, and the adaptability  ...  of 11 and 14.6 percentage points, respectively, over a baseline trained with purely simulated data).  ...  Bradley for her very useful insights in graphic design and information visualization.  ... 
doi:10.3390/app12115687 fatcat:bwzwg3gr2zb27plalc2az3ud6y

Evolving Industrial Software Architectures into a Software Product Line: A Case Study [chapter]

Heiko Koziolek, Roland Weiss, Jens Doppelhamer
2009 Lecture Notes in Computer Science  
This paper reports a case study of product-line development for ABB's robotics PC software.  ...  As a result, we designed a new product-line architecture, which targets at fulfilling various extra-functional requirements. This paper describes experiences and lessons learned during the project.  ...  Furthermore, we thank all members of the I1 group at ABB Corporate Research Ladenburg for their valuable review comments, which help improving the quality of this paper.  ... 
doi:10.1007/978-3-642-02351-4_12 fatcat:rf2ma6rfnvgzpjqg4lae6qmgnu

Human–robot collaboration in industrial environments: A literature review on non-destructive disassembly

Sebastian Hjorth, Dimitrios Chrysostomou
2022 Robotics and Computer-Integrated Manufacturing  
Due to the uncertain conditions of the re-sourced products, fully automated cells cannot cope with the demanding disassembly processes.  ...  Additionally, the various technical challenges of HRCD are explored, and a review of existing systems supporting HRCD is presented.  ...  the utilization of machine learning.  ... 
doi:10.1016/j.rcim.2021.102208 fatcat:a6tep477ffctnkvqj6glwl73hm

2020 Index IEEE Transactions on Instrumentation and Measurement Vol. 69

2020 IEEE Transactions on Instrumentation and Measurement  
Meenalochani, M., and Sudha, S., Influence of Received Signal Strength on Prediction of Cluster Head and Number of Rounds; TIM June 2020 3739-3749 Hendeby, G., see Kasebzadeh, P., TIM Aug. 2020 5862  ...  Converter Using All-Digital Nested Delay-Locked Loops With 50-ps Resolution and High Throughput for LiDAR TIM Nov. 2020 9262-9271 Helsen, J., see Huchel, L., TIM July 2020 4145-4153 Hemavathi, N.,  ...  ., +, TIM Aug. 2020 5862-5874 Laser Cladding Quality Monitoring Using Coaxial Image Based on Machine Learning.  ... 
doi:10.1109/tim.2020.3042348 fatcat:a5f4fsqs45fbbetre6zwsg3dly

CARS 2020—Computer Assisted Radiology and Surgery Proceedings of the 34th International Congress and Exhibition, Munich, Germany, June 23–27, 2020

2020 International Journal of Computer Assisted Radiology and Surgery  
A hybrid (analogue and digital) CARS 2020 has therefore been envisaged to take place at the University Hospital in Munich, with a balanced combination of analogue/personal and digital presentations and  ...  In the times of COVID-19 overshadowing CARS 2020 and what the future may hold, a CARS meeting with these numbers of participants is not feasible anymore and new ways have to be explored to still fulfill  ...  This research is an ongoing project where we are working to achieve a fully automated and validated end-product assessment using the Welling Scale.  ... 
doi:10.1007/s11548-020-02171-6 pmid:32514840 fatcat:lyhdb2zfpjcqbf4mmbunddwroq

Software Architecture Knowledge Management

Hans van Vliet
2008 Australian Software Engineering Conference : Proceedings  
The architects were balancing different quality attributes, using quantitative predictions of the number of customers, average usage time, etc. and they were trying to take an informed design decision  ...  The first situation was concerned with a software architect working closely with a sizeable development team to build a first-of-a-kind system.  ...  We are also thankful to Remco C. de Boer, who converted most of the figures to a format we could work with.  ... 
doi:10.1109/aswec.2008.4483186 fatcat:xwdaitrejvb2fkyx3ymeg6tq6i

What can agents do in industry, and why? An overview of industrially-oriented R&D at CEC [chapter]

H. Van Dyke Parunak
1998 Lecture Notes in Computer Science  
We have found such a fit in three areas: coordination of industrial designers, simulation and modeling of complex products and processes, and scheduling and control of production systems.  ...  such systems, and reviews example applications from CEC's portfolio in each of these areas.  ...  The power of XSpec was demonstrated in its application to a gear weld cell for a major automotive manufacturer.  ... 
doi:10.1007/bfb0053670 fatcat:fy5bukh4vbcm5frp4omezqqzuq

Machine Learning Methods for Product Quality Monitoring in Electric Resistance Welding

Baifan Zhou
2021
Elektrisches Widerstandsschweißen (Englisch: Electric Resistance Welding, ERW) ist eine Gruppe von vollautomatisierten Fertigungsprozessen, bei denen metallische Werkstoffe durch Wärme verbunden werden  ...  : This use case studies predicting (or forecasting) quality of resistance spot welding.  ...  . 138 A Closer Study on Feature Engineering and Feature Evaluation Overview: The same as in Use Case 4.3 , this use case studies predicting (or forecasting) quality of resistance spot welding.  ... 
doi:10.5445/ir/1000132412 fatcat:hlku4gvvkvgwbnmdlqsv5havr4

Constructing syntax-based distributional semantic models for novel languages [article]

Jason Utt, Universität Stuttgart, Universität Stuttgart
2020
The quality of the predictions is obtained on the whole dataset as a measure of correlation (Pearson's r) between predictions and judgments.  ...  Next we compare the quality of predictions between the three-way max and backoff models with respect to the human judgments in the dataset.  ...  In any case, with such a plethora of available models methods with which to combine them in such a way to leverage such differences in performance profiles will be the goal of the next chapter.  ... 
doi:10.18419/opus-10800 fatcat:cr2bhblmf5hwlbfo2xrzszkdwy

Healthcare innovation

Ruth Williams
2014 Nursing management  
I believe that the practical realization of world-renowned Japanese quality can do a lot to advance healthcare innovation.  ...  One such example is ongoing consultancy with seamless support through all phases, the effective identification of the needs of the clinical workplace; offering a full range of facilitation functions from  ...  He is currently engaged in the research and development of natural language processing and machine learning. Dr.  ... 
doi:10.7748/nm.21.6.17.s24 pmid:25253329 fatcat:lwzeascu2zhwngsx5meopizyvy

Real-time processing of binary images for industrial applications [chapter]

J. P. Foith, C. Eisenbarth, E. Enderle, H. Geisselmann, H. Ringshauser, G. Zimmermann
1981 Lecture Notes in Computer Science  
This paper deals with problems and solutions in applications of Image Analysis Systems.  ...  A brief survey of existing systems shows the state-of-the-art and a discussion of applications illustrates the power of these systems.  ...  Examples are the control of tools (e.~. screwdrivers in assembly tasks), the control of machines (e.~. cutting machines), or the control of processes (~.~. welding).  ... 
doi:10.1007/3-540-10705-3_4 fatcat:rdkgtcnhjffkferg6fcvvlvqbu
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