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Table of Contents - Volume 2

2009 2009 Fifth International Conference on Natural Computation  
...........189 Ming Yang and Ping Yang Automatic Inspection of Small Component on Loaded PCB Based on Mean-Shift and Support Vector Machine .............................................................  ...  Vector Machine (SVM) and Traditional Chinese Medicine: Syndrome Factors Based an SVM from Coronary Heart Disease Treated by Prominent Traditional Chinese Medicine Doctors .............................  ... 
doi:10.1109/icnc.2009.761 fatcat:ki3yheg5onexbh4xybkcodhouy

TECHNIQUES AND APPLICATIONS OF PRODUCTION PLANNING IN ELECTRONICS MANUFACTURING SYSTEMS [chapter]

JOUNI SMED, MIKA JOHNSSON, TOMMI JOHTELA, OLLI NEVALAINEN
2003 Computer Aided and Integrated Manufacturing Systems  
In Section 4 we review existing commercial applications for production planning, and in Section 5 study more closely one of these systems.  ...  Next, we study the fundamentals of PCB assembly process in Section 2 and survey the relevant literature in Section 3.  ...  Most of the work have been based on (variants of) pick-and-place machines, but lately the trend has shifted towards rotary turret machines as they have become more popular in industry.  ... 
doi:10.1142/9789812796813_0001 fatcat:ddkdmju5gna5rpsdjnvdyahvam

A Review and Analysis of Automatic Optical Inspection and Quality Monitoring Methods in Electronics Industry

Abd Al Rahman M. Abu Ebayyeh, Alireza Mousavi
2020 IEEE Access  
d: Support Vector Machine Support Vector Machines (SVMs) are a family of supervised machine learning algorithms used for binary classification problems [365] ; however, it can be modified for multi-class  ...  Mean Square Error NCC Normalized Cross Correlation NDF Neighboring Difference Filter NSCT Non-subsampled Contourlet Transform OCSVM One-class Support Vector Machine OCT Optical Coherence Tomography OLED  ...  The most logical choice of keywords that is relevant to the main scope of this research would be "Optical Inspection" AND "Electronic component".  ... 
doi:10.1109/access.2020.3029127 fatcat:hoimi667cndsrimsnwasamtdey

Embedding Convolution Neural Network-Based Defect Finder for Deployed Vision Inspector in Manufacturing Company Frontec

Kyoung Jun Lee, Jun Woo Kwon, Soohong Min, Jungho Yoon
2020 PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE  
In collaboration with Frontec, which produces parts such as bolts and nuts for the automobile industry, Kyung Hee University and Benple Inc. develop and deploy AI system for automatic quality inspection  ...  We designed Circular Hough Transform based preprocessing and an adjusted VGG (Visual Geometry Group) model. The system showed accuracy over 99% and response time of about 0.14 sec.  ...  Acknowledgements This work was supported by the Ministry of Education of the Republic of Korea and the National Research Foundation of Korea (NRF-2017S1A5B8059804).  ... 
doi:10.1609/aaai.v34i08.7020 fatcat:a4mdcbjrbbbrtpe7yovxmhxidm

Predictive model-based quality inspection using Machine Learning and Edge Cloud Computing

Jacqueline Schmitt, Jochen Bönig, Thorbjörn Borggräfe, Gunter Beitinger, Jochen Deuse
2020 Advanced Engineering Informatics  
In this contribution, we investigate a new integrated solution of predictive model-based quality inspection in industrial manufacturing by utilizing Machine Learning techniques and Edge Cloud Computing  ...  Despite the increasing challenges of rising product variety and complexity and the necessity of economic manufacturing, a comprehensive and reliable quality inspection is often indispensable.  ...  Acknowledgment Part of the work on this paper has been supported by Deutsche Forschungsgemeinschaft (DFG) within the Collaborative Research Center SFB 876 "Providing Information by Resource-Constrained  ... 
doi:10.1016/j.aei.2020.101101 fatcat:453vep55b5gelk2vof7snikvym

Deploying an Artificial Intelligence-Based Defect Finder for Manufacturing Quality Management

Kyoung Jun Lee, Jun Woo Kwon, Soohong Min, Jungho Yoon
2021 The AI Magazine  
Our convolutional neural network (CNN) system shows an accuracy of over 99% and a response time of about 0.14 s.  ...  This paper describes how the Big Data Research Center of Kyung Hee University and Benple Inc. developed and deployed an artificial intelligence system to automate the quality management process for Frontec  ...  Batch normalization means scaling and shifting the distribution of inputs in mini-batch units.  ... 
doi:10.1609/aimag.v42i2.15094 fatcat:cvzercathvh2fd23ziv666jaki

An embedded 1149.4 extension to support mixed-signal debugging

Manuel C. Felgueiras, Gustavo R. Alves, J.M. Martins Ferreira
2011 Microelectronics Journal  
The present work considers the IEEE1149.4 infrastructure as a means to support the debugging of mixed-signal circuits, namely to access the circuit nodes and also an embedded debug mechanism named mixed-signal  ...  One of the main advantages associated with the proposed solution is the seamless migration to the system-on-chip level, as the access is done through electronic means, thus easing debugging operations  ...  This means that, when mixedsignal ICs are present in a PCB that also contains digital ICs, the AMS part is a relatively small portion of the entire circuit complexity.  ... 
doi:10.1016/j.mejo.2010.08.007 fatcat:3jqng4mdkfffjb4cywh523gv6m

Balancing the Load

Eyad Alkassar, Mark A. Hillebrand, Dirk C. Leinenbach, Norbert W. Schirmer, Artem Starostin, Alexandra Tsyban
2009 Journal of automated reasoning  
We share our experiences and elaborate on lessons learned.  ...  We have developed a stack of semantics for a high-level C-like language and low-level assembly code, which has been carefully crafted to support the pervasive verification of system software.  ...  is shifted by one (cf.  ... 
doi:10.1007/s10817-009-9123-z fatcat:ctiars2cofhy5lp2n2kuh6axgm

Manipulation of Electronic Devices and Data in Dispensing Pumps

2019 VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE  
The sale of fuel through electronics controlled based Dispensing units in the retail outlets are the source of manipulation.  ...  This research article focus on explore the possibilities to make the encryption method of control bits more robust than the present simple pulse modulation techniques.  ...  Electroencephalography signals are modeled using HMM (Hidden Markov Model), and using a binary classifier implemented with SVM (Support Vector Machine) to Manipulation of Electronic Devices and Data  ... 
doi:10.35940/ijitee.k1287.0981119 fatcat:ktxfosm22zf3xpcvnoljqrgtpe

Health Monitoring for Lighting Applications [chapter]

W. D. van Driel, L. M. Middelburg, B. El Mansouri, B. J. C. Jacobs
2019 Sensor Systems Simulations  
Thanks to the support from Ulrich Boeke for designing and organizing the test bed in Graz and thanks to the Technical University of Graz for hosting this test bed.  ...  Thanks to the support from Harry Broers for providing the health monitoring device.  ...  From Traditional Test-to-Pass to Health Monitoring Traditional lighting is shifting towards connected lighting and as a result companies are also enabled to shift more towards an information-based environment  ... 
doi:10.1007/978-3-030-16577-2_13 fatcat:brpkbdgukvbabdnbw7jebnjoo4

Current Source Inverters for PM machine control

S. Woolaghan, N. Schofield
2009 2009 IEEE International Electric Machines and Drives Conference  
the machine tails. • Pmech is an estimation of the mechanical power based on the theoretical back-EMF and the instantaneous machine phase current. • Pgen is the power generated into the load bank by the  ...  V = EMF ph-rms @ base speed. 1 p.u. V = EMF ph-rms @ base speed. 1 p.u. I = Machine full load current ph-rms . 1 p.u. I = Machine full load current ph-rms .  ... 
doi:10.1109/iemdc.2009.5075282 fatcat:vxttezlfonbo3nebznh4hoqi4u

A Survey on Chip to System Reverse Engineering

Shahed E. Quadir, Junlin Chen, Domenic Forte, Navid Asadizanjani, Sina Shahbazmohamadi, Lei Wang, John Chandy, Mark Tehranipoor
2016 ACM Journal on Emerging Technologies in Computing Systems  
In this paper, we will be presenting a survey of reverse engineering and anti-reverse engineering techniques on the chip, board, and system levels.  ...  The reverse engineering (RE) of electronic chips and systems can be used with honest and dishonest intentions.  ...  Reverse engineering of PCBs begins with the identification of the components mounted on the board, its traces on the top and bottom (visible) layers, its ports, etc.  ... 
doi:10.1145/2755563 fatcat:uzdampyd6fc2fg2axhn7ydnioi

Development of an extensible dual-core wireless sensing node for cyber-physical systems

Michael Kane, Dapeng Zhu, Mitsuhito Hirose, Xinjun Dong, Benjamin Winter, Mortiz Häckell, Jerome P. Lynch, Yang Wang, A. Swartz, Jerome P. Lynch, Kon-Well Wang, Hoon Sohn
2014 Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2014  
While concurrent code execution can be implemented on single-core microcontrollers, concurrency is emulated by splitting the pipeline's resources to support multiple threads of code execution.  ...  Multi-core microcontrollers have multiple computational pipelines that can execute embedded code in parallel and can be interrupted independent of one another.  ...  Lynch), the Research and Innovative Technology Administration of U.S.  ... 
doi:10.1117/12.2045325 fatcat:x7xtdwlxyrdtvd4r2kscfrhifa

A Deep-Learning-Based Bearing Fault Diagnosis Using Defect Signature Wavelet Image Visualization

Bach Phi Duong, Jae Young Kim, Inkyu Jeong, Kichang Im, Cheol Hong Kim, Jong Myon Kim
2020 Applied Sciences  
To evaluate the proposed algorithm, the performance of this technique is scrutinized by a series of experimental tests acquired from a self-designed testbed and corresponding to different bearing conditions  ...  emission signal in time-frequency-domain, reduces the nonstationary effect in the signal, shows discriminate pattern visualization for different types of faults, and associates with the defect signature  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/app10248800 fatcat:upm77awlvrbkhfwvsbj4y2wyve

Recent Advancements in AI-Enabled Smart Electronics Packaging for Structural Health Monitoring

Vinamra Bhushan Sharma, Saurabh Tewari, Susham Biswas, Bharat Lohani, Umakant Dhar Dwivedi, Deepak Dwivedi, Ashutosh Sharma, Jae Pil Jung
2021 Metals  
Moreover, the Internet of Things (IoT) and smart city concepts are explained to elaborate on the contributions of intelligent SHM systems.  ...  Three smart data capturing methods of SHM, namely, camera-based, smartphone-based, and unmanned aerial vehicle (UAV)-based methods, are also discussed, having made the utilization of intelligent paradigms  ...  , Gaussian Mixture Models (GMM), One-Class Support Vector Machine (OCSVM), and Hidden Markov Model (HMM), for leakage detection.  ... 
doi:10.3390/met11101537 fatcat:wayx7vsxxrekrgpjrzrmxpqswm
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