Research and Application of a User Interface Automatic Testing Method Based on Data Driven

Author(s):  
Tai-Xin Huang ◽  
Jian-Wei Ji ◽  
Yun-Xu Shou ◽  
Yan Kong
2015 ◽  
Vol 3 ◽  
pp. 3521-3528 ◽  
Author(s):  
Alexander Piazza ◽  
Christian Zagel ◽  
Sebastian Huber ◽  
Matthias Hille ◽  
Freimut Bodendorf

2014 ◽  
Vol 539 ◽  
pp. 386-389
Author(s):  
Liu Li ◽  
Guo Fei Zhang

As a reaserch and development model, IFS is fast and efficient for MIS sysment.At first, we introduced the IFS models (information models, station models and function models) ,and it is proposed that the management information system (MIS) is build base on IFS models data-driven technologies and four tiers soft development technologies. Finally, we described abstract of the station models (user interface) and mechanism about the station models to the user interface.


2010 ◽  
Vol 30 (10) ◽  
pp. 2749-2753
Author(s):  
Bo-gang ZHANG ◽  
Wei ZHANG ◽  
Yue-ning CHEN ◽  
Fei-xiong LIAO

2013 ◽  
Vol 33 (1) ◽  
pp. 258-261 ◽  
Author(s):  
Hao HE ◽  
Chunling CHENG ◽  
Zhengyu ZHANG ◽  
Dengyin ZHANG

2021 ◽  
Author(s):  
David M. Wright ◽  
Dan C. Ward

Abstract Across all industries, material specifications are tightening beyond previously understood process capabilities. Slight shifts in material grade, microstructure, heat treatment, or alloy composition can significantly impact long term material integrity. This study examines the feasibility of non-contact, 100% inline magneto-inductive testing on material/components destined for the automotive, aerospace, agricultural, and medical markets to ensure proper material quality standards. To test the hypothesis that material grade, carbon content, density, and alloy composition can be accurately tested in real time during production, an experiment was conducted utilizing magneto-inductive test instrumentation and encircling coil. Throughout this experiment, and proposed future state of manufacturing, 100% of material was tested. Results yielded clear confirmation in accordance with the hypothesis. This data driven subjective approach provided the ability to accurately, efficiently, and autonomously verify proper material grade had been used for the designated product. Ensuring proper material composition and material properties without slowing production using this testing method should be considered when improved quality is desired.


2021 ◽  
Vol 14 (5) ◽  
pp. 421
Author(s):  
Qincheng Gao ◽  
Yifan Wei ◽  
Hao Yin ◽  
Zexun Jiang

2020 ◽  
Vol 34 (09) ◽  
pp. 13622-13623
Author(s):  
Zhaojiang Lin ◽  
Peng Xu ◽  
Genta Indra Winata ◽  
Farhad Bin Siddique ◽  
Zihan Liu ◽  
...  

We present CAiRE, an end-to-end generative empathetic chatbot designed to recognize user emotions and respond in an empathetic manner. Our system adapts the Generative Pre-trained Transformer (GPT) to empathetic response generation task via transfer learning. CAiRE is built primarily to focus on empathy integration in fully data-driven generative dialogue systems. We create a web-based user interface which allows multiple users to asynchronously chat with CAiRE. CAiRE also collects user feedback and continues to improve its response quality by discarding undesirable generations via active learning and negative training.


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