A new focus detection criterion in holograms of planktonic organisms

2020 ◽  
Vol 138 ◽  
pp. 497-506
Author(s):  
Gelaysi Moreno ◽  
Jefferson S. Ascaneo ◽  
Jorge O. Ricardo ◽  
Leandro T. De La Cruz ◽  
Yaumel Arias ◽  
...  
Keyword(s):  
Detection Criterion ◽  
Focus Detection

Novel technology of automatic macro inspection for 32-nm node and best focus detection

2007 ◽  
Author(s):  
Kazuhiko Fukazawa ◽  
Kazumasa Endo ◽  
Kiminori Yoshino ◽  
Yuichiro Yamazaki
Keyword(s):  
Novel Technology ◽  
Focus Detection

A Novel Detection Criterion for Weak<tex>$m$</tex>-Ary Signals and Its Application to UltraWideband Multiple Access Systems

2005 ◽  
Vol 54 (6) ◽  
pp. 2024-2036 ◽  
Author(s):  
I. Song ◽  
J. Koo ◽  
H. Kwon ◽  
S.R. Park ◽  
S.R. Lee ◽  
...  
Keyword(s):  
Multiple Access ◽  
Detection Criterion

scholarly journals Facial Landmark Annotation and Fuzzy Model to Detect Players’ Focus

2021 ◽  
Author(s):  
Alisson Steffens Henrique ◽  
Esteban Walter Gonzalez Clua ◽  
Rodrigo Lyra ◽  
Anita Maria da Rocha Fernandes ◽  
Rudimar Luis Scaranto Dazzi
Keyword(s):  
Fuzzy Model ◽  
Research Topic ◽  
Important Research ◽  
Facial Landmark ◽  
Important Research Topic ◽  
Focus Detection ◽  
Data Log ◽  
Game Analytics

Game Analytics is an important research topic in digitalentertainment. Data log is usually the key to understand players’behavior in a game. However, alpha and beta builds may need aspecial attention to player focus and immersion. In this paper, wepropose t he us e of player’s focus detection, through theclassification of pictures. Results show that pictures can be usedas a new source of data for Game Analytics, feeding developerswith a better understanding of players enjoyment while in testingphases .

scholarly journals Correlation of Hypoechoic Lesions in Trans-rectal Ultrasound of Prostate with Histopathology in Prostate Cancer

2020 ◽  
Vol 42 (2) ◽  
pp. 76-79
Author(s):  
Dinesh Chataut ◽  
Babin Basnet ◽  
Benu Lohani ◽  
Sundar Suwal ◽  
Sharma Paudel ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Prostate Biopsy ◽  
Gold Standard ◽  
Detection Rate ◽  
Specific Antigen ◽  
Digital Rectal Examination ◽  
Elderly Male ◽  
Common Cancer ◽  
In Trans ◽  
Focus Detection

Introduction Prostate cancer is one of the most common cancer in elderly male. Suspicion of prostate cancer is based on increased Prostate Specific Antigen (PSA) level and abnormal digital rectal examination (DRE) findings. Transrectal ultrasonography (TRUS) can detect and localize hypoechoic lesions in prostate which are considered as suspicious for malignancy. TRUS can also guide for prostate biopsy, which is the gold standard for diagnosis of prostate cancer. The study was aimed to find out TRUS findings in suspected prostate cancer patients and correlate these findings with histopathological findings. MethodsProspective study was done in 66 males of age >40 years, sent for prostate biopsy in suspicion for prostate cancer (PSA >4 ng/ml, and/or abnormal DRE findings). Prostate was evaluated with TRUS and subsequently underwent TRUS guided six core biopsy of prostate. Total 396 cores of biopsy were taken. Histopathology reports were collected and correlated with the TRUS findings. ResultsTwenty three patients were positive for prostate cancer and 14 of them showed hypoechoic lesions in TRUS. Total 81 suspicious hypoechoic lesions were seen in prostate of all the patients and among them 42 lesions matched with histopathology report for cancer. Cancerous focus detection rate of TRUS was 51.85%. ConclusionTRUS is a supplementary tool in diagnosis of prostate cancer, however when used alone it has less sensitivity for detection of prostate cancer.

scholarly journals In-Situ Real-Time Focus Detection during Laser Processing Using Double-Hole Masks and Advanced Image Sensor Software

Sensors ◽  
2017 ◽  
Vol 17 (7) ◽  
pp. 1540 ◽  
Author(s):  
Binh Cao ◽  
Phuong Hoang ◽  
Sanghoon Ahn ◽  
Jeng-o Kim ◽  
Heeshin Kang ◽  
...  
Keyword(s):  
Real Time ◽  
Laser Processing ◽  
Image Sensor ◽  
Focus Detection

A New Threat Detection Criterion for Airborne Collision Avoidance Systems

1990 ◽  
Vol 43 (03) ◽  
pp. 391-403 ◽  
Author(s):  
R. L. Ford ◽  
D. L. Powell
Keyword(s):  
Experimental Evidence ◽  
Collision Avoidance ◽  
Air Transport ◽  
Threat Detection ◽  
Detection Criterion ◽  
Collision Avoidance System

A new threat detection criterion is described which provides a better match to the requirements than the well-known modified tau criterion for a civil air transport collision avoidance system. Experimental evidence is given to show that it also reduces the number of undesirable alerts.

A Focus Detection Method for Ground-Based Solar Telescope

2017 ◽  
Vol 37 (7) ◽  
pp. 0711003
Author(s):  
方玉亮 Fang Yuliang ◽  
柳光乾 Liu Guangqian ◽  
金振宇 Jin Zhenyu ◽  
李鹏飞 Li Pengfei ◽  
刘 忠 Liu Zhong
Keyword(s):  
Detection Method ◽  
Solar Telescope ◽  
Focus Detection
Sign in / Sign up

Export Citation Format

Share Document