Computer System Integrated with Digital Models for Reconstruction of Underwater Structures with High Definition

Automated face reputation (AFR) technologies have made many improvements inside the converting international. Clever Attendance using actual-Time Face popularity is an actual-international solution that comes with the day after day activities of handling pupil attendance machine. Face recognition-based attendance machine is a process of spotting the student's face for taking attendance through using face bio-metrics primarily based on high-definition display video and different facts generation. In my face recognition assignment, a computer system can be able to find and apprehend human faces speedy and precisely in pictures or movies which might be being captured via a surveillance digital camera. Several algorithms and techniques were advanced for enhancing the performance of face reputation but the idea to be carried out here is deep getting to know. It allows in the conversion of the frames of the video into photos so that the face of the student can be effortlessly recognized for his or her attendance so that the attendance database can be effortlessly pondered automatically. Inside the ever-changing world, automatic face reputation (AFR) systems have finished numerous advancements. Smart Attendance with real-Time Face popularity is a sensible alternative for handling student attendance systems on a day-by-day foundation. Face reputation-primarily based attendance device is a way of recognizing a student's face for the motive of taking attendance, primarily based on high-resolution facial biometrics.

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Some Recent Results in Quiescent Prominence Spectrometry

International Astronomical Union Colloquium ◽

10.1017/s0252921100065179 ◽

1979 ◽

Vol 44 ◽

pp. 41-47

Author(s):

Donald A. Landman

Keyword(s):

Real Time ◽

Computer System ◽

Spectral Response ◽

Absolute Intensity ◽

Solar Observatory ◽

Target Size ◽

Small Target ◽

Signal Averaging ◽

Quiescent Prominence

This paper describes some recent results of our quiescent prominence spectrometry program at the Mees Solar Observatory on Haleakala. The observations were made with the 25 cm coronagraph/coudé spectrograph system using a silicon vidicon detector. This detector consists of 500 contiguous channels covering approximately 6 or 80 Å, depending on the grating used. The instrument is interfaced to the Observatory’s PDP 11/45 computer system, and has the important advantages of wide spectral response, linearity and signal-averaging with real-time display. Its principal drawback is the relatively small target size. For the present work, the aperture was about 3″ × 5″. Absolute intensity calibrations were made by measuring quiet regions near sun center.

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Routine Digital Processing of Microscope Images

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100181506 ◽

1990 ◽

Vol 48 (1) ◽

pp. 550-551

Author(s):

E. Wisse ◽

A. Geerts ◽

R.B. De Zanger

Keyword(s):

Operating System ◽

Digital Processing ◽

Hard Disks ◽

The Sun ◽

Tape Drive ◽

High Definition ◽

Fluorescent Microscope ◽

Microscope Images ◽

Helical Scan ◽

Ethernet Connection

The slowscan and TV signal of the Philips SEM 505 and the signal of a TV camera attached to a Leitz fluorescent microscope, were digitized by the data acquisition processor of a Masscomp 5520S computer, which is based on a 16.7 MHz 68020 CPU with 10 Mb RAM memory, a graphics processor with two frame buffers for images with 8 bit / 256 grey values, a high definition (HD) monitor (910 × 1150), two hard disks (70 and 663 Mb) and a 60 Mb tape drive. The system is equipped with Imaging Technology video digitizing boards: analog I/O, an ALU, and two memory mapped frame buffers for TV images of the IP 512 series. The Masscomp computer has an ethernet connection to other computers, such as a Vax PDP 11/785, and a Sun 368i with a 327 Mb hard disk and a SCSI interface to an Exabyte 2.3 Gb helical scan tape drive. The operating system for these computers is based on different versions of Unix, such as RTU 4.1 (including NFS) on the acquisition computer, bsd 4.3 for the Vax, and Sun OS 4.0.1 for the Sun (with NFS).

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Enhancing Clinical Supervision Using High-Definition Real-Time Digital Recording, Annotation, and Bluetooth Technology

Perspectives of the ASHA Special Interest Groups ◽

10.1044/2019_pers-sig11-2018-0020 ◽

2019 ◽

Vol 4 (2) ◽

pp. 356-362

Author(s):

Jennifer W. Means ◽

Casey McCaffrey

Keyword(s):

Graduate Students ◽

Data Collection ◽

Real Time ◽

Clinical Supervision ◽

Video Recording ◽

Advanced Technology ◽

High Definition ◽

Recording Technology ◽

Self Confidence ◽

Additional Data Collection

Purpose The use of real-time recording technology for clinical instruction allows student clinicians to more easily collect data, self-reflect, and move toward independence as supervisors continue to provide continuation of supportive methods. This article discusses how the use of high-definition real-time recording, Bluetooth technology, and embedded annotation may enhance the supervisory process. It also reports results of graduate students' perception of the benefits and satisfaction with the types of technology used. Method Survey data were collected from graduate students about their use and perceived benefits of advanced technology to support supervision during their 1st clinical experience. Results Survey results indicate that students found the use of their video recordings useful for self-evaluation, data collection, and therapy preparation. The students also perceived an increase in self-confidence through the use of the Bluetooth headsets as their supervisors could provide guidance and encouragement without interrupting the flow of their therapy sessions by entering the room to redirect them. Conclusions The use of video recording technology can provide opportunities for students to review: videos of prospective clients they will be treating, their treatment videos for self-assessment purposes, and for additional data collection. Bluetooth technology provides immediate communication between the clinical educator and the student. Students reported that the result of that communication can improve their self-confidence, perceived performance, and subsequent shift toward independence.

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