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Yu-Chuan Lin

6 accepted papers

2023

An Intelligent Factory Automation System With Multivariate Time Series Algorithm for Chip Probing Process

RA-L 2023

Chip-probing is the key process for IC manufacturing to its ensure quality. As the number of tests increases, the test quality and the test yield will be affected because the needles on the probe card of the tester will be contaminated by external objects or worn out. Whether a needle polish of the

Cited by 1SourceScholar
2021

AIoT-Cloud-Integrated Smart Livestock Surveillance via Assembling Deep Networks with Considering Robustness and Semantics Availability

RA-L 2021

In this letter, we propose a novel smart livestock surveillance system through cooperation of AIoT (artificial intelligence of things) devices and the cloud computing platform, aiming at providing semantic information via assembling deep networks with AIoT devices of limited resource. The key of the

Cited by 8SourceScholar
2019

A Novel Efficient Big Data Processing Scheme for Feature Extraction in Electrical Discharge Machining

RA-L 2019

Electrical discharge machining (EDM) can machine hard conductive workpieces that are difficult to machine using traditional machining techniques. For monitoring the EDM process using virtual metrology (VM), probes with a very high sampling rate are needed to acquire the voltage and current signals o

Cited by 11SourceScholar
2018

A Novel Automated Construction Scheme for Efficiently Developing Cloud Manufacturing Services

RA-L 2018

Cloud manufacturing (CMfg) has emerged as a next-generation manufacturing paradigm that has potential to revolutionize the manufacturing industry. In further promotion of CMfg, how to build CMfg services in an automatic and efficient manner is an essential and challenging subject. Currently, there i

Cited by 10SourceScholar
2017

Development of Advanced Manufacturing Cloud of Things (AMCoT) - A Smart Manufacturing Platform

RA-L 2017

As semiconductor manufacturing processes are becoming more and more sophisticated, how to maintain their feasible production yield becomes an important issue. Also, how to build a smart manufacturing platform that can facilitate realizing smart factories is essential and desirable for current manufa

Cited by 75SourceScholar
2016

Industry 4.1 for Wheel Machining Automation

RA-L 2016

Industry 4.0 is set to be one of the new manufacturing objectives. The technologies involved to achieve Industry 4.0 are Internet of Things (IoT), cyber physical systems (CPS), and cloud manufacturing (CM). However, the current objectives defined by Industry 4.0 do not include zero defects; it only

Cited by 55SourceScholar