Analysis dynamics of piezoelectric optical scanner with periodical microstructure

2008 ◽  
Author(s):  
Arvydas Palevicius ◽  
Giedrius Janusas ◽  
Vytautas Ostasevicius ◽  
Ramutis Bansevicius ◽  
Alfredas Busilas ◽  
...  
Keyword(s):  
Optical Scanner ◽  
Periodical Microstructure

An Equivalent Circuit Model for Vertical Comb Drive MEMS Optical Scanner Controlled by Pulse Width Modulation

2012 ◽  
Vol 132 (1) ◽  
pp. 1-9 ◽  
Author(s):  
Satoshi Maruyama ◽  
Muneki Nakada ◽  
Makoto Mita ◽  
Takuya Takahashi ◽  
Hiroyuki Fujita ◽  
...  
Keyword(s):  
Equivalent Circuit ◽  
Pulse Width ◽  
Pulse Width Modulation ◽  
Equivalent Circuit Model ◽  
Circuit Model ◽  
Comb Drive ◽  
Optical Scanner

An Optical Scanner for Testing Parabolic Trough Solar Collectors

1982 ◽  
Vol 11 (1) ◽  
pp. 18-22
Author(s):  
B. K. Roy ◽  
P. N. Puntambekar ◽  
D. Sen
Keyword(s):  
Solar Collectors ◽  
Parabolic Trough ◽  
Optical Scanner

scholarly journals Restorative Space Analysis by Jaw Motion Tracking Using a Template in Completely Edentulous Patients

2021 ◽  
Vol 11 (9) ◽  
pp. 3933
Author(s):  
Chol-Gwan Han ◽  
Young-Bum Park ◽  
June-Sung Shim ◽  
Jong-Eun Kim
Keyword(s):  
Computer Aided Design ◽  
Motion Tracking ◽  
Alternative Technique ◽  
Optical Scanner ◽  
Movement Data ◽  
Impression Materials ◽  
Computer Aided ◽  
Edentulous Patients ◽  
Manufacturing Technologies ◽  
Opening And Closing

Improvements in computer-aided design/computer-aided manufacturing technologies have led to multiple attempts being made to simplify and improve the workflow of prosthesis fabrication for completely edentulous patients. However, most attempts still involve the conventional methods of impression-making and recording the maxillomandibular relationships using alginate, rubber impression materials, and wax materials. In the case of a completely edentulous arch, the presence of movable tissues and the absence of stable landmarks make it difficult to perform direct digitization using an intraoral scanner and to digitally determine the vertical dimension. In the alternative technique described herein, data are obtained by scanning a template such as the patient’s existing old dentures and jaw movement data using target materials and an optical scanner, and an appropriate maxillomandibular relationship that has the desired restorative space is determined on the basis of the obtained trajectory of mandibular movements while opening and closing the mouth. After designing dentures on the basis of the newly established maxillomandibular relationships and performing a try-in process, the final dentures can be manufactured. This alternative technique can reduce the need for multiple visits and complex procedures, improving the workflow for fabricating prostheses with the correct maxillomandibular relationships for individual patients.

scholarly journals The development of an optical scanner method for observation of plant root dynamics

Plant Root ◽  
2008 ◽  
Vol 2 ◽  
pp. 14-18 ◽  
Author(s):  
Masako Dannoura ◽  
Yuji Kominami ◽  
Hiroyuki Oguma ◽  
Yoichi Kanazawa
Keyword(s):  
Plant Root ◽  
Root Dynamics ◽  
Optical Scanner

Linearization of electrostatically actuated surface micromachined 2-D optical scanner

2001 ◽  
Vol 10 (2) ◽  
pp. 205-214 ◽  
Author(s):  
H. Toshiyoshi ◽  
W. Piyawattanametha ◽  
Cheng-Ta Chan ◽  
M.C. Wu
Keyword(s):  
Electrostatically Actuated ◽  
Optical Scanner

Image processing and machine learning for telehealth craniosynostosis screening in newborns

2021 ◽  
pp. 1-8
Author(s):  
Markus J. Bookland ◽  
Edward S. Ahn ◽  
Petronella Stoltz ◽  
Jonathan E. Martin
Keyword(s):  
Image Processing ◽  
Intraclass Correlation ◽  
Correlation Coefficients ◽  
Asymmetry Index ◽  
Optical Measurements ◽  
Shape Classification ◽  
Data Set ◽  
Intraclass Correlation Coefficients ◽  
Optical Scanner ◽  
Cranial Shape

OBJECTIVE The authors sought to evaluate the accuracy of a novel telehealth-compatible diagnostic software system for identifying craniosynostosis within a newborn (< 1 year old) population. Agreement with gold standard craniometric diagnostics was also assessed. METHODS Cranial shape classification software accuracy was compared to that of blinded craniofacial specialists using a data set of open-source (n = 40) and retrospectively collected newborn orthogonal top-down cranial images, with or without additional facial views (n = 339), culled between April 1, 2008, and February 29, 2020. Based on image quality, midface visibility, and visibility of the cranial equator, 351 image sets were deemed acceptable. Accuracy, sensitivity, and specificity were calculated for the software versus specialist classification. Software agreement with optical craniometrics was assessed with intraclass correlation coefficients. RESULTS The cranial shape classification software had an accuracy of 93.3% (95% CI 86.8–98.8; p < 0.001), with a sensitivity of 92.0% and specificity of 94.3%. Intraclass correlation coefficients for measurements of the cephalic index and cranial vault asymmetry index compared to optical measurements were 0.95 (95% CI 0.84–0.98; p < 0.001) and 0.67 (95% CI 0.24–0.88; p = 0.003), respectively. CONCLUSIONS These results support the use of image processing–based neonatal cranial deformity classification software for remote screening of nonsyndromic craniosynostosis in a newborn population and as a substitute for optical scanner– or CT-based craniometrics. This work has implications that suggest the potential for the development of software for a mobile platform that would allow for screening by telemedicine or in a primary care setting.

scholarly journals Quantification of leaf greenness and leaf spectral profile in plant diagnosis using an optical scanner

2012 ◽  
Vol 36 (3) ◽  
pp. 309-317 ◽  
Author(s):  
Ryoichi Doi
Keyword(s):  
Spectral Data ◽  
Crop Production ◽  
Response Pattern ◽  
Quadratic Growth ◽  
Spectral Profile ◽  
Growth Data ◽  
Data Set ◽  
Optical Scanner ◽  
Color Scale ◽  
Management Measures

Observation of leaf spectral profile (color) enables suitable management measures to be taken for crop production. An optical scanner was used: 1) to obtain an equation to determine the greenness of plant leaves and 2) to examine the power to discriminate among plants grown under different nutritional conditions. Sweet basil seedlings grown on vermiculite were supplemented with one-fifth-strength Hoagland solutions containing 0, 0.2, 1, 5, 20, and 50 mM NH4+. The 5 mM treatment resulted in the greatest leaf and shoot weights, indicating a quadratic growth response pattern to the NH4+ gradient. An equation involving b*, black and green to describe the greenness of leaves was provided by the spectral profiling of a color scale for rice leaves as the standard. The color scale values for the basil leaves subjected to 0.2 and 1 mM NH4+ treatments were 1.00 and 1.12, respectively. The other treatments resulted in significantly greater values of 2.25 to 2.42, again indicating a quadratic response pattern. Based on the spectral data set consisting of variables of red-green-blue and other color models and color scale values, in discriminant analysis, 81% of the plants were correctly classified into the six NH4+ treatment groups. Combining the spectral data set with the growth data set consisting of leaf and shoot weights, 92% of the plant samples were correctly classified whereas, using the growth data set, only 53% of plants were correctly classified. Therefore, the optical scanning of leaves and the use of spectral profiles helped plant diagnosis when biomass measurements were not effective.

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