scholarly journals Rotation-free industrial alignment of high performance optics

2020 ◽  
Vol 238 ◽  
pp. 03012
Author(s):  
Dennis Leenman ◽  
Frederic Berndt ◽  
Stefan Beyer
Keyword(s):  
High Precision ◽  
High Performance ◽  
Optical Axis ◽  
Independent Measurement ◽  
Production Methods ◽  
Conventional Production ◽  
End Products ◽  
Symmetric Systems

Conventional production methods for high precision lens alignment typically rely on lens rotation. In the case of rotationally non-symmetric optics and mounts, this is problematic. Here, we report a new concept for alignment bonding without lens rotation, based on a high precision linear bearing as position reference and a hexapod actuator for lens manipulation. For the optical axis of two test lenses after bonding, <1 arcmin element tilt and <10 μm decentre was achieved. This is confirmed by an independent measurement. Our alignment device and process can be applied for any lens and mount geometry. This will be especially useful for high-end products with small size and for rotationally non-symmetric systems.

Influence of Tooth Errors and Truing Principles of Grinding Wheel Abrasion for Machining Arc Enveloping Worm

2013 ◽  
Vol 652-654 ◽  
pp. 2153-2158
Author(s):  
Wu Ji Jiang ◽  
Jing Wei
Keyword(s):  
Mathematical Model ◽  
Case Studies ◽  
High Precision ◽  
High Performance ◽  
New Method ◽  
Grinding Wheel ◽  
Grinding Process ◽  
The Mathematical Model

Controlling the tooth errors induced by the variation of diameter of grinding wheel is the key problem in the process of ZC1 worm grinding. In this paper, the influence of tooth errors by d1, m and z1 as the grinding wheel diameter changes are analyzed based on the mathematical model of the grinding process. A new mathematical model and truing principle for the grinding wheel of ZC1 worm is presented. The shape grinding wheel truing of ZC1 worm is carried out according to the model. The validity and feasibility of the mathematical model is proved by case studies. The mathematical model presented in this paper provides a new method for reducing the tooth errors of ZC1 worm and it can meet the high-performance and high-precision requirements of ZC1 worm grinding.

scholarly journals Novel Electrochemiluminescent Assays for Drug Discovery

2000 ◽  
Vol 5 (1) ◽  
pp. 45-48 ◽  
Author(s):  
Maura C. Kibbey ◽  
David MacAllan ◽  
James W. Karaszkiewicz
Keyword(s):  
Drug Discovery ◽  
High Precision ◽  
High Throughput ◽  
High Performance ◽  
Dynamic Range ◽  
Wide Dynamic Range ◽  
Receptor Ligand ◽  
Enzymatic Assays ◽  
Detection Systems ◽  
Protein Assays

IGEN's ORIGEN® technology, which is based on electrochemiluminescence, has been adopted by a number of research and bioanalytical laboratories who have recognized its exquisite sensitivity, high precision, wide dynamic range, and flexibility in formatting a wide variety of applications. IGEN's M-SERIES™ marks the introduction of the second generation of detection systems employing the ORIGEN technology specifically repackaged to address the needs of the high throughput laboratories involved in drug discovery. Assays are formatted without wash steps. Users realize the high performance of a heterogeneous technology with the convenience of a homogeneous format. The M-SERIES platform can address enzymatic assays (kinases, proteases, helicases, etc.), receptor-ligand or protein-protein assays, immunoassays, quantitation of nucleic acids, as well as other applications. Recent assay formats will be explored in detail.

(Invited) DNA-Directed High-Precision Assembly of High-Performance CNT FETs

2021 ◽  
Vol MA2021-01 (11) ◽  
pp. 585-585
Author(s):  
Wei Sun ◽  
Mengyu Zhao ◽  
Yahong Chen ◽  
Zhi Zhu ◽  
Ming Zheng
Keyword(s):  
High Precision ◽  
High Performance

Ru@N/S/TiO2/rGO: A High Performance HER Electrocatalyst Prepared by Dye-Sensitization

2021 ◽  
Author(s):  
Hai-Lang Jia ◽  
Jiao Zhao ◽  
Zhiyuan Wang ◽  
Rui-Xin Chen ◽  
Mingyun Guan
Keyword(s):  
Hydrogen Production ◽  
Hydrogen Evolution ◽  
Water Splitting ◽  
Hydrogen Evolution Reaction ◽  
High Performance ◽  
Dye Sensitization ◽  
Production Methods

Hydrogen production from water-splitting is one of the most promising hydrogen production methods, the preparation of hydrogen evolution reaction (HER) catalyst is very important. Although Pt based materials have the...

scholarly journals ACF Based Region Proposal Extraction for YOLOv3 Network Towards High-Performance Cyclist Detection in High Resolution Images

Sensors ◽  
2019 ◽  
Vol 19 (12) ◽  
pp. 2671 ◽  
Author(s):  
Chunsheng Liu ◽  
Yu Guo ◽  
Shuang Li ◽  
Faliang Chang
Keyword(s):  
High Resolution ◽  
High Precision ◽  
Extraction Method ◽  
High Performance ◽  
Detection Methods ◽  
Average Precision ◽  
Deep Network ◽  
High Resolution Images ◽  
Bounding Boxes ◽  
Detection And Localization

You Only Look Once (YOLO) deep network can detect objects quickly with high precision and has been successfully applied in many detection problems. The main shortcoming of YOLO network is that YOLO network usually cannot achieve high precision when dealing with small-size object detection in high resolution images. To overcome this problem, we propose an effective region proposal extraction method for YOLO network to constitute an entire detection structure named ACF-PR-YOLO, and take the cyclist detection problem to show our methods. Instead of directly using the generated region proposals for classification or regression like most region proposal methods do, we generate large-size potential regions containing objects for the following deep network. The proposed ACF-PR-YOLO structure includes three main parts. Firstly, a region proposal extraction method based on aggregated channel feature (ACF) is proposed, called ACF based region proposal (ACF-PR) method. In ACF-PR, ACF is firstly utilized to fast extract candidates and then a bounding boxes merging and extending method is designed to merge the bounding boxes into correct region proposals for the following YOLO net. Secondly, we design suitable YOLO net for fine detection in the region proposals generated by ACF-PR. Lastly, we design a post-processing step, in which the results of YOLO net are mapped into the original image outputting the detection and localization results. Experiments performed on the Tsinghua-Daimler Cyclist Benchmark with high resolution images and complex scenes show that the proposed method outperforms the other tested representative detection methods in average precision, and that it outperforms YOLOv3 by 13.69 % average precision and outperforms SSD by 25.27 % average precision.

Production methods for reliable construction of ultra-high-performance concrete (UHPC) structures

2016 ◽  
Vol 50 (1) ◽  
Author(s):  
Libya Ahmed Sbia ◽  
Amirpasha Peyvandi ◽  
Jue Lu ◽  
Saqib Abideen ◽  
Rankothge R. Weerasiri ◽  
...  
Keyword(s):  
High Performance ◽  
High Performance Concrete ◽  
Ultra High Performance Concrete ◽  
Production Methods
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