Development of Computer Auto Color Matching Design System for Tooth Reparation

Author(s):  
Dan Jiang ◽  
Gaoting Wu ◽  
Lancheng Wang
CICTP 2020 ◽  
2020 ◽  
Author(s):  
Wanqing Zhang ◽  
Jinyan Zhu ◽  
Ying Cheng ◽  
Chen Liu ◽  
Rongchun Shi

2020 ◽  
Vol 5 (1) ◽  
pp. 78
Author(s):  
Ade Sumaedi ◽  
Makhsun Makhsun ◽  
Achmad Hindasyah

PT. Duta Nichirindo Pratama is a company engaged in the field of Autoparts Manufacture. Barcode is the identity of an item / product on the package. Barcode technology has been used as the identity of goods in a production. Barcodes are used to facilitate the identification of goods produced. Paste the barcode on the packaging of packaging results at PT. Duta Nichirindo Pratama is done manually, but there are often errors attached to the barcode on a similar packaging. This research will design and create a system based on Visual Basic.Net and Arduino to select barcode attachment errors that have the potential to be sent to consumers. The system is designed using Unified Modeling Language (UML) diagrams, database design and interface menu design. The system created will then be tested to detect the black box test. With a computing-based design system that functions to detect barcodes on the packaging automatically, the problem of sticking barcodes on the packaging can be detected.


2018 ◽  
Vol 7 (2) ◽  
pp. 180
Author(s):  
Wiyanto Wiyanto ◽  
Fajar Butsianto ◽  
Karsito Karsito

Information technology is rapidly developed in this century that impact to various aspects of the organization really need information technology to support the performance and everyday business processes. In health services, information technology is required to process and storage the patient medical records, so that the patient's medical record is well preserved, and competitive advantage can be obtained between patient and polyclinic. The application of Customer Relationship Management (CRM) approach can be developed by implementing information system of medical record history to get new patient and retain existing patient, improving relationship with patient and maintaining patient loyalty as well as supporting the company/organization to provide excellent service to customers in real time through the advantage of information technology. The aims of this research are to understand patient medical record by CRM approach and Unified Modeling Language (UML) for system design, system validation using Forum Group Discussion (FGD), and using software testing Model ISO 9126. The result of this research are Medical Record History Information System and the result of system validation with FGD is 100% accepted, the result of system test using Model ISO 9126 is good with success rate 82,86%, so it can give contribution to polyclinic.


Author(s):  
E. Gal ◽  
Z. Yuan ◽  
W. Wu ◽  
Jacob Fish

2008 ◽  
Vol 70 (6) ◽  
pp. 639-644 ◽  
Author(s):  
Shinichi IMAFUKU ◽  
Juichiro NAKAYAMA ◽  
Taro MAKINO ◽  
Masaaki KOSAKA ◽  
Akiko KOZASA ◽  
...  

2019 ◽  
Vol 2019 (1) ◽  
pp. 320-325 ◽  
Author(s):  
Wenyu Bao ◽  
Minchen Wei

Great efforts have been made to develop color appearance models to predict color appearance of stimuli under various viewing conditions. CIECAM02, the most widely used color appearance model, and many other color appearance models were all developed based on corresponding color datasets, including LUTCHI data. Though the effect of adapting light level on color appearance, which is known as "Hunt Effect", is well known, most of the corresponding color datasets were collected within a limited range of light levels (i.e., below 700 cd/m2), which was much lower than that under daylight. A recent study investigating color preference of an artwork under various light levels from 20 to 15000 lx suggested that the existing color appearance models may not accurately characterize the color appearance of stimuli under extremely high light levels, based on the assumption that the same preference judgements were due to the same color appearance. This article reports a psychophysical study, which was designed to directly collect corresponding colors under two light levels— 100 and 3000 cd/m2 (i.e., ≈ 314 and 9420 lx). Human observers completed haploscopic color matching for four color stimuli (i.e., red, green, blue, and yellow) under the two light levels at 2700 or 6500 K. Though the Hunt Effect was supported by the results, CIECAM02 was found to have large errors under the extremely high light levels, especially when the CCT was low.


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