scholarly journals Optical Network Technologies for Future Digital Cinema

2016 ◽  
Vol 2016 ◽  
pp. 1-8
Author(s):  
Sajid Nazir ◽  
Mohammad Kaleem

Digital technology has transformed the information flow and support infrastructure for numerous application domains, such as cellular communications. Cinematography, traditionally, a film based medium, has embraced digital technology leading to innovative transformations in its work flow. Digital cinema supports transmission of high resolution content enabled by the latest advancements in optical communications and video compression. In this paper we provide a survey of the optical network technologies for supporting this bandwidth intensive traffic class. We also highlight the significance and benefits of the state of the art in optical technologies that support the digital cinema work flow.

2010 ◽  
Vol 20 (1) ◽  
pp. 9-13 ◽  
Author(s):  
Glenn Tellis ◽  
Lori Cimino ◽  
Jennifer Alberti

Abstract The purpose of this article is to provide clinical supervisors with information pertaining to state-of-the-art clinic observation technology. We use a novel video-capture technology, the Landro Play Analyzer, to supervise clinical sessions as well as to train students to improve their clinical skills. We can observe four clinical sessions simultaneously from a central observation center. In addition, speech samples can be analyzed in real-time; saved on a CD, DVD, or flash/jump drive; viewed in slow motion; paused; and analyzed with Microsoft Excel. Procedures for applying the technology for clinical training and supervision will be discussed.


Electronics ◽  
2021 ◽  
Vol 10 (13) ◽  
pp. 1578
Author(s):  
Daniel Szostak ◽  
Adam Włodarczyk ◽  
Krzysztof Walkowiak

Rapid growth of network traffic causes the need for the development of new network technologies. Artificial intelligence provides suitable tools to improve currently used network optimization methods. In this paper, we propose a procedure for network traffic prediction. Based on optical networks’ (and other network technologies) characteristics, we focus on the prediction of fixed bitrate levels called traffic levels. We develop and evaluate two approaches based on different supervised machine learning (ML) methods—classification and regression. We examine four different ML models with various selected features. The tested datasets are based on real traffic patterns provided by the Seattle Internet Exchange Point (SIX). Obtained results are analyzed using a new quality metric, which allows researchers to find the best forecasting algorithm in terms of network resources usage and operational costs. Our research shows that regression provides better results than classification in case of all analyzed datasets. Additionally, the final choice of the most appropriate ML algorithm and model should depend on the network operator expectations.


Thorax ◽  
2019 ◽  
Vol 75 (1) ◽  
pp. 72-77 ◽  
Author(s):  
Rebecca Jane Calthorpe ◽  
Sherie Smith ◽  
Katie Gathercole ◽  
Alan Robert Smyth

Digital healthcare is a rapidly growing healthcare sector. Its importance has been recognised at both national and international level, with the WHO recently publishing its first global strategy for digital health. The use of digital technology within cystic fibrosis (CF) has also increased. CF is a chronic, life-limiting condition, in which the treatment burden is high and treatment regimens are not static. Digital technologies present an opportunity to support the lives of people with CF. We included 59 articles and protocols in this state-of-the-art review, relating to 48 studies from 1999 until 2019. This provides a comprehensive overview of the expansion and evolution of the use of digital technology. Technology has been used with the aim of increasing accessibility to healthcare, earlier detection of pulmonary exacerbations and objective electronic adherence monitoring. It may also be used to promote adherence and self-management through education, treatment management Apps and social media.


MRS Bulletin ◽  
2003 ◽  
Vol 28 (5) ◽  
pp. 340-344 ◽  
Author(s):  
Hartmut Hillmer ◽  
Roland Germann

AbstractAn overview of key materials for optical communications, including semiconductors, dielectrics, glasses, and organics, is presented in this issue of MRS Bulletin. Materials quality is in all cases crucial for advanced device and system performance. Materials properties and important problems are reviewed, and their impact on the performance of state-of-the-art optical devices is assessed and demonstrated by means of selected examples.


Author(s):  
Yoshinari Awaji ◽  
Hideaki Furukawa ◽  
Sugang Xu ◽  
Masaki Shiraiwa ◽  
Naoya Wada ◽  
...  

2013 ◽  
Vol 711 ◽  
pp. 689-694 ◽  
Author(s):  
Jian Hui Liu ◽  
Yan Wang ◽  
Zhi Jian Wang ◽  
Guo Ping Li

Orthosesare important tools to help patients in rehabilitation andas well asfor theirself-care of disables in clinics. Traditionally, orthese are made manually, which is time consuming and error prone. Digital manufacturing of orthosescan significantly improve the efficiency and reduce lead time compared to tranditionalmethods.This paper attempts to conduct a review on theorthoses manufacturing method based on digital technology including Computer Aided Design (CAD), Comupter Aided Manufacture (CAM) and Reverse Engineering (RE) by examining state-of-the-art academic and industrial reserch.In this paper, the rationale behindthe development of orthoses manufacturing methodsbased on digital technologies isaddressed firstly, followed by adescription ofthecharateristicsofideal orthoses manufacturing methods. Next, some selectedresearchesindigitalorthoses manufacturing in terms of patents and academic papers isreviewedand evaluated against criteria foridealorthese manufacture. Finally thetrend of digital manufacture of ortheseisdiscussed and summarized.


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