Coherences between influence function size, polishing quality, and process time in magnetorheological finishing

2006 ◽  
Author(s):  
Markus Schinhaerl ◽  
Andreas Geiss ◽  
Rolf Rascher ◽  
Peter Sperber ◽  
Richard Stamp ◽  
...  
Keyword(s):  
Influence Function ◽  
Process Time ◽  
Magnetorheological Finishing

Simulation and application of spherical tool influence function for magnetorheological finishing

2021 ◽  
Author(s):  
Hongxiang Wang ◽  
Shiwei Liu ◽  
Qinghua Zhang ◽  
Jing Hou ◽  
Xianhua Chen
Keyword(s):  
Influence Function ◽  
Magnetorheological Finishing ◽  
Tool Influence Function ◽  
Spherical Tool

Relationship between influence function accuracy and polishing quality in magnetorheological finishing

2010 ◽  
Author(s):  
Markus Schinhaerl ◽  
Florian Schneider ◽  
Rolf Rascher ◽  
Christian Vogt ◽  
Peter Sperber
Keyword(s):  
Influence Function ◽  
Magnetorheological Finishing

Regionalized modeling approach of tool influence function in magnetorheological finishing process for aspherical optics

Optik ◽  
2020 ◽  
Vol 206 ◽  
pp. 164368
Author(s):  
Shiwei Liu ◽  
Hongxiang Wang ◽  
Qinghua Zhang ◽  
Jing Hou ◽  
Bo Zhong ◽  
...  
Keyword(s):  
Influence Function ◽  
Magnetorheological Finishing ◽  
Modeling Approach ◽  
Finishing Process ◽  
Tool Influence Function ◽  
Aspherical Optics

TEM Sample Prep Tool Matching—DualBeam FIB Cut Look and Measure Monitoring for Process Control and Development in a 300 mm IC Fab

2016 ◽  
Author(s):  
Jangbae Jeon
Keyword(s):  
Process Control ◽  
Sample Preparation ◽  
Continuous Improvement ◽  
Process Time ◽  
Operational Monitoring ◽  
Thickness Control ◽  
Running Time ◽  
End Products ◽  
Novel Method

Abstract This work presents a novel method of continuous improvement for faster, better and cheaper TEM sample preparation using Cut Look and Measure (CLM). The improvement of the process is executed by operational monitoring of daily beam conditions, end products, bulk thickness control, recipe usage and tool running time. This process produces a consequent decrease in rework rate and process time. In addition, it also increases throughput with better quality TEM samples.

Data Visualization Indicator Disease (Malaria, Dengue Fever, and Measles) in The Year 2012-2015

2017 ◽  
Vol 4 (2) ◽  
pp. 87-93
Author(s):  
Immanuel Luigi Da Gusta ◽  
Johan Setiawan
Keyword(s):  
Data Mining ◽  
Human Resources ◽  
Data Visualization ◽  
Health Sector ◽  
Medical Personnel ◽  
Database Systems ◽  
Process Time ◽  
Acceptance Test ◽  
Visual Data Mining ◽  
The Government

The aim of this paper are: to create a data visualization that can assist the Government in evaluating the return on the development of health facilities in the region and province area in term of human resources for medical personnel, to help community knowing the amount of distribution of hospitals with medical personnel in the regional area and to map disease indicator in Indonesia. The issue of tackling health is still a major problem that is not resolved by the Government of Indonesia. There are three big things that become problems in the health sector in Indonesia: infrastructure has not been evenly distributed and less adequate, the lack of human resources professional health workforce, there is still a high number of deaths in the outbreak of infectious diseases. Data for the research are taken from BPS, in total 10,600 records after the Extract, Transform and Loading process. Time needed to convert several publications from PDF, to convert to CSV and then to MS Excel 3 weeks. The method used is Eight-step Data Visualization and Data Mining methodology. Tableau is chosen as a tool to create the data visualization because it can combine each dasboard inside a story interactive, easier for the user to analyze the data. The result is a story with 3 dashboards that can fulfill the requirement from BPS staff and has been tested with a satisfied result in the UAT (User Acceptance Test). Index Terms—Dashboard, data visualization, disease, malaria, Tableau REFERENCES [1] S. Arianto, Understanding of learning and others, 2008. [2] Rainer; Turban, Introduction to Information Systems, Danvers: John Wiley & Sons, Inc, 2007. [3] V. Friedman, Data Visualization Infographics, Monday Inspirition, 2008. [4] D. A. Keim, "Information Visualization and Visual Data Mining," IEEE Transactions on Visualization and Computer Graphics 8.1, pp. 1-8, 2002. [5] Connolly and Begg, Database Systems, Boston: Pearson Education, Inc, 2010. [6] E. Hariyanti, "Pengembangan Metodologi Pembangunan Information Dashboard Untuk Monitoring kinerja Organisasi," Konferensi dan Temu Nasional Teknologi Informasi dan Komunikasi untuk Indonesia, p. 1, 2008. [7] S. Darudiato, "Perancangan Data Warehouse Penjualan Untuk Mendukung Kebutuhan Informasi Eksekutif Cemerlang Skin Care," Seminar Nasional Informatika 2010, pp. E-353, 2010.

Process-Time Benchmarking: A Two-Tier Model for Banking Firms

2009 ◽  
Author(s):  
Mohammad Siddiquee ◽  
Farhad Farhad Hossain ◽  
Sheikh Feroze Rehan
Keyword(s):  
Process Time
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