scholarly journals REAL TIME APPLICATION OF AN OIL SPILL MOTION PREDICTION SYSTEM

1985 ◽  
Vol 1985 (1) ◽  
pp. 235-242
Author(s):  
V. R. Neralla ◽  
S. Venkatesh
Keyword(s):  
Real Time ◽  
Oil Spill ◽  
Task Force ◽  
Primary Objective ◽  
Atmospheric Environment ◽  
Motion Prediction ◽  
Prediction System ◽  
Secondary Objective ◽  
Operational Decision Making ◽  
Environment Service

ABSTRACT This paper deals with the prediction in real time of the motion of experimental oil slicks. These slicks were the subject of an oil spill experiment organized by the joint Government/Industry Canadian Aerial Applications Task Force. These experiments offshore were conducted during September 1983 near Halifax on the east coast of Canada, at 44°30′ N, 63°00′ W. The primary objective of the experiments was to determine the suitability of oil spill dispersants as countermeasures. A secondary objective was the testing and verification of oil spill trajectory models and systems. The Atmospheric Environment Service (AES) participated in the experiments to test the capability of its oil spill motion prediction system in providing real time trajectory forecasts. The AES system resident on computer facilities at the Canadian Meteorological Centre in Montreal was accessed through standard telephone lines, with appropriate output products available on a computer terminal near the experiment site. The experiment consisted of three sets of spills. Each set had a control slick and a test slick. Sixteen barrels of crude oil were used in each spill. The test slicks were used to test the effectiveness of various dispersants, the control slicks were used to verify trajectory forecasts. The spill trajectories and oil weathering information obtained from the system during the experiments demonstrated the relative ease with which the system could handle the required input and provide timely forecasts. The accuracy of these forecast trajectories was confirmed by observations, and their utility was demonstrated by their application in the operational decision making process.

Real-time ship motion prediction system

2009 ◽  
Author(s):  
Damitha Sandaruwan ◽  
Nihal Kodikara ◽  
Rexy Rosa ◽  
Chamath Keppitiyagama
Keyword(s):  
Real Time ◽  
Ship Motion ◽  
Motion Prediction ◽  
Prediction System

Sight Unseen: Diagnostic Yield and Safety Outcomes of a Novel Multimodality Navigation Bronchoscopy Platform with Real-Time Target Acquisition

Respiration ◽  
2021 ◽  
pp. 1-8
Author(s):  
Sameer K. Avasarala ◽  
Lance Roller ◽  
James Katsis ◽  
Heidi Chen ◽  
Robert J. Lentz ◽  
...  
Keyword(s):  
Real Time ◽  
Clinical Data ◽  
Hospital Admissions ◽  
Diagnostic Yield ◽  
Outcome Data ◽  
Primary Objective ◽  
Complication Rates ◽  
Digital Tomosynthesis ◽  
Electromagnetic Navigation ◽  
Secondary Objective

<b><i>Background:</i></b> Several advanced bronchoscopy platforms are currently available, but the clinical data supporting their use vary. Electromagnetic navigation bronchoscopy (ENB) remains the dominant technology; it is limited by its reliance on preoperative computed tomography, which only approximates patient anatomy during the procedure. Recently, ENB was enhanced with the (1) addition of digital tomosynthesis-based navigation correction, (2) improvements in planning algorithms, and (3) continuous real-time guidance (Illumisite™; Medtronic, Minneapolis, MN, USA). There are currently no clinical data on the diagnostic yield and safety profile of this system. <b><i>Objectives:</i></b> The primary objective of this study is to describe the diagnostic yield of the first 100 pulmonary parenchymal lesions sampled using the multimodality navigation bronchoscopy (MNB) platform. The secondary objective is to describe safety. <b><i>Methods:</i></b> In this single-center prospective observational study, a database was maintained to track patient, procedural, and outcome data for the first 100 consecutive lesions sampled using the MNB platform at an academic quaternary referral center. Descriptive statistics and univariate and multivariate analyses are reported. <b><i>Results:</i></b> The overall diagnostic yield of samples acquired was 79% (79/100). In the cohort where digital tomosynthesis was used, the diagnostic yield was 83% (69/83). Sensitivity for malignancy was 71% (52/73). Overall complication rates were low: pneumothorax (<i>n</i> = 3, 3%) and bleeding requiring intervention (<i>n</i> = 2, 2%). There were no procedural-related hospital admissions. <b><i>Conclusions:</i></b> The MNB system performed favorably. Platform superiority cannot be established without future prospective and comparative studies.

Real-time Ship Motion Prediction System

2009 ◽  
Author(s):  
Damitha Sandaruwan ◽  
Nihal Kodikara ◽  
Rexy Rosa ◽  
Chamath Keppitiyagama
Keyword(s):  
Real Time ◽  
Ship Motion ◽  
Motion Prediction ◽  
Prediction System

The 1976-1977 Drought Situation in Ontario

1979 ◽  
Vol 55 (3) ◽  
pp. 91-94 ◽  
Author(s):  
B. J. Stocks
Keyword(s):  
Natural Resources ◽  
Forest Fire ◽  
Reliable Method ◽  
Task Force ◽  
Atmospheric Environment ◽  
Fire Control ◽  
University Of Toronto ◽  
Environment Service

The recent drought situation in Ontario was investigated, from a forest fire control standpoint, by a task force consisting of Canadian Forestry Service, Ontario Ministry of Natural Resources, Atmospheric Environment Service and University of Toronto representatives. Results indicate that monitoring of precipitation alone is not a reliable method of establishing the duration and severity of droughts.

COMMUNICATION ACROSS THE BLACK SEA VIA INTERNET TECHNOLOGY

2001 ◽  
Vol 2001 (2) ◽  
pp. 1119-1120 ◽  
Author(s):  
Kay Thompson ◽  
Melissa Lapsa
Keyword(s):  
Real Time ◽  
Black Sea ◽  
Oil Spill ◽  
Web Site ◽  
Task Force ◽  
Environmental Issues ◽  
Internet Technology ◽  
The Black Sea ◽  
Oak Ridge ◽  
The Web

ABSTRACT The U.S. Department of Energy's (DOE's) Office of International Affairs has been joined by an interagency task force to undertake a program in the Black Sea region called the “Black Sea Environmental Initiative.” The objectives of the task force are to support the countries of the region to address significant Black Sea environmental issues, including oil spill response and prevention. Working with delegates from Bulgaria, Georgia, Romania, Russia, Turkey, and Ukraine, DOE and Oak Ridge National Laboratory (ORNL) coordinated a workshop on a regional oil spill emergency response system for the Black Sea on September 14–17, 1999 in Odessa, Ukraine; DOE and the National Academy of Science, Ukraine cosponsored the workshop. The “Black Sea Environmental Information Center” Web site was unveiled at the Odessa workshop. Created by ORNL, the Web site ( http://pims.ed.ornl.gov/blacksea) facilitates information flow and dialog between the countries of the region. The Web site is intended to provide a comprehensive source for information on: Oil spill cleanup, monitoring, and related commercial technologies Scientists' requests for research partner Various countries' laws, regulations, and standards relating to the environmental condition of the Black Sea Publication of scientific papers and on-line discussions of these issue Individuals and companies working on Black Sea environmental issues The Web site also provides a real time chat capability where meetings are organized. Several meetings among regional officials have been conducted and planning is underway for the first real-time training session, which will be held in the next few months. The Web site also is host to a growing database of historical pollution testing data from research institutes around the Black Sea.

Motion Prediction with Artificial Neural Networks Using Wearable Strain Sensors Based on Flexible Thin Graphite Films

2019 ◽  
Vol 826 ◽  
pp. 111-116
Author(s):  
Takahiro Kanokoda ◽  
Yuki Kushitani ◽  
Moe Shimada ◽  
Jun Ichi Shirakashi
Keyword(s):  
Neural Networks ◽  
Real Time ◽  
Wearable Devices ◽  
Human Motion ◽  
Strain Sensors ◽  
Motion Prediction ◽  
Prediction System ◽  
Hand Motion ◽  
Motion Data ◽  
Human Motion Prediction

A human motion prediction system can be used to estimate human gestures in advance to the actual action for reducing delays in interactive system. We have already reported a method of simple and easy fabrication of strain sensors and wearable devices using pyrolytic graphite sheets (PGSs). The wearable electronics could detect various types of human motion, with high durability and fast response. In this study, we have demonstrated hand motion prediction by neural networks (NNs) using hand motion data obtained from data gloves based on PGSs. In our experiments, we measured hand motions of subjects for learning. We created 4-layered NNs to predict human hand motion in real-time. As a result, the proposed system successfully predicted hand motion in real-time. Therefore, these results suggested that human motion prediction system using NNs is able to forecast various types of human behavior using human motion data obtained from wearable devices based on PGSs.

Real-time application of an oil spill movement prediction system

1989 ◽  
Vol 2 (1) ◽  
pp. 31-44 ◽  
Author(s):  
V. R. Neralla ◽  
S. Venkatesh
Keyword(s):  
Real Time ◽  
Oil Spill ◽  
Prediction System ◽  
Movement Prediction ◽  
Real Time Application

The Student Room Survey: Changes in the Post Graduate Study for Cardiothoracic Surgery

2020 ◽  
Vol 23 (2) ◽  
pp. 71-74
Author(s):  
Md Faizus Sazzad ◽  
Mohammed Moniruzzaman ◽  
Dewan Iftakher Raza Choudhury ◽  
Arif Ahmed Mohiuddin ◽  
Raafi Rahman ◽  
...  
Keyword(s):  
Thoracic Surgery ◽  
Retrospective Analysis ◽  
Primary Objective ◽  
Graduate Study ◽  
Postgraduate Students ◽  
Depth Interview ◽  
Secondary Objective ◽  
Cardio Vascular ◽  
The University ◽  
Day By Day

Background: The number of postgraduate students in Cardiac surgical discipline is increasing day by day with incremental proportion are measurably suffering from the unnecessary lingering of the present course curriculum. The primary objective of this study was to find out the last 5 years’ of results of Masters in Surgery course under the University of Dhaka from a student room survey. A secondary objective was to find out positive changes that could show us the way of a step toward up-gradation. Methods: It is a retrospective analysis of all examination results of Cardio-vascular & Thoracic Surgery published since January 2008 to January 2013 from the University of Dhaka with in depth interview of 11 participants. Results: 85.24% students failed to pass part-I of Masters in Surgery for Cardio-vascular & Thoracic Surgery course while, 82.18% in part-II and 71.28% failed to pass the final part. Average 2.51 attempts needed to complete each part of the designed course resulted into lingering of course duration for 42.18 months/student. In the thoracic surgery discipline the number of students alarmingly reduced up to 0% in the recent academic sessions. Conclusions: Masters in Surgery is resulting in unnecessary prolongation of the course. We should step forward to meet the next generation challenge. Journal of Surgical Sciences (2019) Vol. 23(2): 71-74

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