scholarly journals Technical Note: Animal-borne CTD-Satellite Relay Data Loggers for real-time oceanographic data collection

2009 ◽  
Vol 6 (2) ◽  
pp. 1261-1287 ◽  
Author(s):  
L. Boehme ◽  
P. Lovell ◽  
M. Biuw ◽  
F. Roquet ◽  
J. Nicholson ◽  
...  
Keyword(s):  
Data Collection ◽  
Real Time ◽  
Marine Mammals ◽  
Satellite System ◽  
Daily Basis ◽  
Technical Note ◽  
Data Logger ◽  
Temperature Conductivity ◽  
Data Loggers ◽  
Large Numbers

Abstract. The increasing need for continuous monitoring of the world oceans has stimulated the development of a range of autonomous sampling platforms. One novel addition to these approaches is a small, relatively inexpensive data-relaying device that can be deployed on marine mammals to provide vertical oceanographic profiles throughout the upper 2000 m of the water column. When an animal dives, the CTD-Satellite Relay Data Logger (CTD-SRDL) records vertical profiles of temperature, conductivity and pressure. Data are compressed once the animal returns to the surface where it is located by, and relays data to, the Argos satellite system. The technical challenges met in the design of the CTD-SRDL are the maximising of energy efficiency by minimising size, whilst simultaneously maintaining the reliability of an instrument that cannot be recovered and is required to survive its lifetime attached to a marine mammal. The CTD-SRDLs record temperature and salinity with an accuracy of better than 0.005°C and 0.02 respectively. However, due to the limited availability of reference data for post-processing, data are often associated with slightly higher errors. The potential to collect large numbers of profiles cost-effectively makes data collection using CTD-SRDL technology particularly beneficial in regions where traditional oceanographic measurements are scarce. Depending on the CTD-SRDL configuration, it is possible to sample and transmit hydrographic profiles on a daily basis, providing valuable and often unique information for a real-time ocean observing system.

scholarly journals Technical Note: Animal-borne CTD-Satellite Relay Data Loggers for real-time oceanographic data collection

Ocean Science ◽  
2009 ◽  
Vol 5 (4) ◽  
pp. 685-695 ◽  
Author(s):  
L. Boehme ◽  
P. Lovell ◽  
M. Biuw ◽  
F. Roquet ◽  
J. Nicholson ◽  
...  
Keyword(s):  
Data Collection ◽  
Real Time ◽  
Marine Mammals ◽  
Satellite System ◽  
Daily Basis ◽  
Technical Note ◽  
Time Data ◽  
Data Logger ◽  
Temperature Conductivity ◽  
Data Loggers

Abstract. The increasing need for continuous monitoring of the world oceans has stimulated the development of a range of autonomous sampling platforms. One novel addition to these approaches is a small, relatively inexpensive data-relaying device that can be deployed on marine mammals to provide vertical oceanographic profiles throughout the upper 2000 m of the water column. When an animal dives, the CTD-Satellite Relay Data Logger (CTD-SRDL) records vertical profiles of temperature, conductivity and pressure. Data are compressed once the animal returns to the surface where it is located by, and relays data to, the Argos satellite system. The technical challenges met in the design of the CTD-SRDL are the maximising of energy efficiency and minimising size, whilst simultaneously maintaining the reliability of an instrument that cannot be recovered and is required to survive its lifetime attached to a marine mammal. The CTD-SRDLs record temperature and salinity with an accuracy of better than 0.005 °C and 0.02 respectively. However, due to the limited availability of reference data, real-time data from remote places are often associated with slightly higher errors. The potential to collect large numbers of profiles cost-effectively makes data collection using CTD-SRDL technology particularly beneficial in regions where traditional oceanographic measurements are scarce or even absent. Depending on the CTD-SRDL configuration, it is possible to sample and transmit hydrographic profiles on a daily basis, providing valuable and often unique information for a real-time ocean observing system.

scholarly journals Field evaluation of GNSS/GPS based RTK, RTN, and RTX correction systems

2021 ◽  
Author(s):  
J. Robert ◽  
Michael Forte
Keyword(s):  
Real Time ◽  
Field Evaluation ◽  
Satellite System ◽  
Technical Note ◽  
Background Information ◽  
Positioning Systems ◽  
Global Positioning ◽  
Time Correction ◽  
Global Navigation Satellite ◽  
Correction System

This Coastal and Hydraulic Engineering Technical Note (CHETN) details an evaluation of three Global Navigation Satellite System (GNSS)/Global Positioning System (GPS) real-time correction methods capable of providing centimeter-level positioning. Internet and satellite-delivered correction systems, Real Time Network (RTN) and Real Time eXtended (RTX), respectively, are compared to a traditional ground-based two-way radio transmission correction system, generally referred to as Local RTK, or simply RTK. Results from this study will provide prospective users background information on each of these positioning systems and comparisons of their respective accuracies during in field operations.

Technology Developments in NOAA's Real-Time Coastal Observing Systems

2015 ◽  
Vol 49 (2) ◽  
pp. 122-137
Author(s):  
Richard Edwing ◽  
Chung-Chu Teng ◽  
Robert Heitsenrether
Keyword(s):  
Water Level ◽  
Real Time ◽  
Data Communication ◽  
Satellite System ◽  
Water Levels ◽  
Operating Efficiency ◽  
Temperature Conductivity ◽  
Port Authorities ◽  
Microwave Radar

AbstractThe critical need for real-time coastal oceanographic and meteorological measurements to support maritime forecasters, emergency managers, pilots, vessel operators, port authorities, coastal planners, and many other decision makers has rapidly grown, along with the variety of scientific research applications that rely on resulting long-term data records. To support the needs for such observations, the National Ocean Service Center for Operational Oceanographic Products and Services (CO-OPS) continues to maintain and develop the National Water Level Observation Network (NWLON) and Physical Oceanographic Real-Time Systems (PORTS®). Together, these networks consist of over 300 long-term, real-time observatories distributed across the nation's coasts. In situ data measured and disseminated in real time from NWLON and PORTS stations include water levels, ocean currents, waves, water temperature, conductivity, bridge clearance, visibility, and several meteorological parameters. CO-OPS invests heavily in analysis of emerging technologies to identify potential improvements in data quality and operating efficiency and to ensure that the evolving needs of its diverse user community are continuously met. Recent enhancements to the CO-OPS network include the transition to microwave radar water level sensors to increase accuracy and simplify installation and maintenance requirements; development and testing of nearshore wave measurement systems; development of standalone, bottom-mounted water level gauges for applications in remote Arctic areas; and expanding data communication capabilities to improve usage of the National Oceanic and Atmospheric Administration (NOAA) Geostationary Operational Environmental Satellites and to broaden use of the Iridium satellite system. An overview of the latest design features of typical CO-OPS real-time stations is presented, along with highlights of recent system developments and enhancements.

scholarly journals Design and Implementation of Low Power and Sleep Mode Data Logger for Automatic Weather Stations

2019 ◽  
Vol 8 (9) ◽  
pp. 2097-2102
Keyword(s):  
Real Time ◽  
Mobile Communications ◽  
Sleep Mode ◽  
Data Logger ◽  
Analog To Digital ◽  
Data Loggers ◽  
Current Consumption ◽  
Temperature Detector ◽  
Weather Stations ◽  
Cloud Computation

In Automatic Weather Stations (AWS), data loggers are used for recording and displaying the output obtained from various sensors. In the paper, a data logger is designed and developed using MSP430F5529 launchpad, Node MCU section in wake up/sleep mode, a Resistance Temperature Detector(RTD) circuit and a power supply. Energia and Arduino software is also used for developing and uploading the code on the MSP430F5529 microcontroller and on Node MCU respectively. During designing of data logger the inbuilt Real Time Clock(RTC) is activated using RTC library which keeps track of time and date. The paper also presented cloud computation using Global System for Mobile communications(GSM) and WI-FI module for continuous monitoring of output taken from a RTD sensor integrated with designed data logger in real time. In the paper mathematical calculations are described for calibration of Analog-to-Digital Converter(ADC) MSP430F5529 which is used in development of data logger. The paper also presented hardware implementation results of developed data logger and with the use of microcontroller in sleep mode, the current consumption decreases from 10mA to 6mA and hence power consumption of the data logger from the battery is minimized . Therefore data logger can be made to work for a longer duration of time with higher efficiency.

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

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.

scholarly journals Thermolabile drug storage in an ambulatory setting

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Fernando do Pazo-Oubiña ◽  
Bartomeu Alorda-Ladaria ◽  
Ana Gomez-Lobon ◽  
Bàrbara Boyeras-Vallespir ◽  
María Margalida Santandreu-Estelrich ◽  
...  
Keyword(s):  
Tertiary Care ◽  
Statistical Treatment ◽  
Storage Conditions ◽  
Ambulatory Setting ◽  
Temperature Record ◽  
Care Hospital ◽  
Data Logger ◽  
Data Loggers ◽  
Ambulatory Patients ◽  
Clinical Consequences

AbstractMore thermolabile drugs are becoming available, and in most cases, these medications are dispensed to ambulatory patients. However, there is no regulation once medications are dispensed to patients and little is known with regard to what happens during transport and home storage. Previous studies suggest that these drugs are improperly stored. The present study was designed to determine the storage conditions of thermolabile drugs once they are dispensed to the patient in the Hospital Pharmacy Department. This is a prospective observational study to assess the temperature profile of 7 thermolabile drugs once they are dispensed to ambulatory patients at a tertiary care hospital. A data logger was added to the medication packaging. Temperature was considered inappropriate if one of the following circumstances were met: any temperature record less than or equal to 0 °C or over 25 °C; temperatures between 0–2 or 8–25 °C for a continuous period over 30 min. The time series of temperature measurements obtained from each data logger were analyzed as statistically independent variables. The data shown did not undergo any statistical treatment and must be considered directly related to thermal measurements. One hundred and fourteen patients were included and 107 patients were available for the analysis. On the whole, a mean of 50.6 days (SD 18.3) were measured and the mean temperature was 6.88 °C (SD 2.93). Three data loggers (2.8%) maintained all the measurements between 2 and 8 °C with less than 3 continuous data (< 30 min) out of this range but no data over 25 °C or below or equal to 0 °C. 28 (26.2%) data loggers had at least one measurement below zero, 1 data logger had a measurement greater than 25 °C and 75 (70.1%) were between 0 and 2 °C and/or between 8 and 25 °C for more than 30 min. In conclusion, once dispensed to patients, most thermolabile drugs are improperly stored. Future studies should focus on clinical consequences and possible solutions.

scholarly journals DAViS: a unified solution for data collection, analyzation, and visualization in real-time stock market prediction

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Suppawong Tuarob ◽  
Poom Wettayakorn ◽  
Ponpat Phetchai ◽  
Siripong Traivijitkhun ◽  
Sunghoon Lim ◽  
...  
Keyword(s):  
Machine Learning ◽  
Social Media ◽  
Data Collection ◽  
Stock Market ◽  
Real Time ◽  
Stock Prices ◽  
Contextual Information ◽  
Online News ◽  
Stock Prediction ◽  
Stock Market Prediction

AbstractThe explosion of online information with the recent advent of digital technology in information processing, information storing, information sharing, natural language processing, and text mining techniques has enabled stock investors to uncover market movement and volatility from heterogeneous content. For example, a typical stock market investor reads the news, explores market sentiment, and analyzes technical details in order to make a sound decision prior to purchasing or selling a particular company’s stock. However, capturing a dynamic stock market trend is challenging owing to high fluctuation and the non-stationary nature of the stock market. Although existing studies have attempted to enhance stock prediction, few have provided a complete decision-support system for investors to retrieve real-time data from multiple sources and extract insightful information for sound decision-making. To address the above challenge, we propose a unified solution for data collection, analysis, and visualization in real-time stock market prediction to retrieve and process relevant financial data from news articles, social media, and company technical information. We aim to provide not only useful information for stock investors but also meaningful visualization that enables investors to effectively interpret storyline events affecting stock prices. Specifically, we utilize an ensemble stacking of diversified machine-learning-based estimators and innovative contextual feature engineering to predict the next day’s stock prices. Experiment results show that our proposed stock forecasting method outperforms a traditional baseline with an average mean absolute percentage error of 0.93. Our findings confirm that leveraging an ensemble scheme of machine learning methods with contextual information improves stock prediction performance. Finally, our study could be further extended to a wide variety of innovative financial applications that seek to incorporate external insight from contextual information such as large-scale online news articles and social media data.

Real-time US/cone-beam CT fusion imaging for percutaneous ablation of small renal tumours: a technical note

2021 ◽  
Author(s):  
Lorenzo Monfardini ◽  
Nicolò Gennaro ◽  
Franco Orsi ◽  
Paolo Della Vigna ◽  
Guido Bonomo ◽  
...  
Keyword(s):  
Real Time ◽  
Cone Beam Ct ◽  
Fusion Imaging ◽  
Technical Note ◽  
Cone Beam ◽  
Percutaneous Ablation ◽  
Renal Tumours

scholarly journals Proposal for Tower Crane Productivity Indicators Based on Data Analysis in the Era of Construction 4.0

Buildings ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 21
Author(s):  
Thomas Danel ◽  
Zoubeir Lafhaj ◽  
Anand Puppala ◽  
Sophie Lienard ◽  
Philippe Richard
Keyword(s):  
Time Series ◽  
Data Analysis ◽  
Statistical Analysis ◽  
Data Collection ◽  
Structural Phase ◽  
Sampling Technique ◽  
Construction Site ◽  
Data Logger ◽  
Tower Crane ◽  
Productivity Indicators

This article proposes a methodology to measure the productivity of a construction site through the analysis of tower crane data. These data were obtained from a data logger that records a time series of spatial and load data from the lifting machine during the structural phase of a construction project. The first step was data collection, followed by preparation, which consisted of formatting and cleaning the dataset. Then, a visualization step identified which data was the most meaningful for the practitioners. From that, the activity of the tower crane was measured by extracting effective lifting operations using the load signal essentially. Having used such a sampling technique allows statistical analysis on the duration, load, and curvilinear distance of every extracted lifting operation. The build statistical distribution and indicators were finally used to compare construction site productivity.

scholarly journals Tracking inflation on a daily basis

2020 ◽  
Vol 156 (1) ◽  
Author(s):  
Santiago E. Alvarez ◽  
Sarah M. Lein
Keyword(s):  
Real Time ◽  
Price Index ◽  
Daily Basis ◽  
Relative Importance ◽  
Online Data ◽  
Demand And Supply ◽  
Supply Shocks ◽  
Policy Measures ◽  
Real Time Information ◽  
Time Information

Abstract Using online data for prices and real-time debit card transaction data on changes in expenditures for Switzerland allows us to track inflation on a daily basis. While the daily price index fluctuates around the official price index in normal times, it drops immediately after the lockdown related to the COVID19 pandemic. Official statistics reflect this drop only with a lag, specifically because data collection takes time and is impeded by lockdown conditions. Such daily real-time information can be useful to gauge the relative importance of demand and supply shocks and thus inform policymakers who need to determine appropriate policy measures.

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