scholarly journals Networked Acoustic Modems for Real-Time Data Telemetry from Distributed Subsurface Instruments in the Coastal Ocean: Application to Array of Bottom-Mounted ADCPs

2005 ◽  
Vol 22 (6) ◽  
pp. 704-720 ◽  
Author(s):  
Daniel L. Codiga ◽  
Joseph A. Rice ◽  
Paul A. Baxley ◽  
David Hebert
Keyword(s):  
New York ◽  
Real Time ◽  
Adaptive Sampling ◽  
Coastal Ocean ◽  
Network Control ◽  
Wireless Data ◽  
Time Data ◽  
Strong Winds ◽  
Handshake Protocol ◽  
Acoustic Modem

Abstract Through the winter and spring of 2002, networked acoustic modems demonstrated real-time wireless data telemetry from an array of bottom-mounted acoustic Doppler current profilers (ADCPs) on the inner continental shelf 20–60 m deep off of Montauk Point, New York. To achieve typical temporal and spatial sampling needs for data assimilative numerical modeling, the array spanned 10 km × 10 km and transmitted data each ∼2 h. Network nodes included five sensors, each an ADCP with acoustic modem housed in a trawl-resistant bottom frame; five repeaters that are individual acoustic modems on near-bottom taut-wire moorings; and two gateways, each a buoy with a subsurface acoustic modem and topside cellular modem allowing for two-way communication with the shore. Deliveries from an ADCP adjacent to the gateway buoy were more than 97% successful through both winter and spring. Deliveries from ADCPs 5 km from the gateway averaged 25% (86%) reliability in winter (spring). Winter performance degrades because of upward-refracting sound speed profiles that limit direct acoustic paths, and strong winds that disrupt sea surface reflectivity and increase ambient noise. Reliability improved up to 36% due to the receive-all gateway mode, and more than doubled for certain node pairs due to a handshake protocol incorporating an automatic repeat request. Shore-based network control demonstrated adaptive sampling by changing ADCP vertical and temporal resolution, and network data path rerouting in response to unplanned events, such as trawling impacts. Networked acoustic modems are well suited for coastal ocean-observing systems, particularly at sites such as this where seafloor cables and surface buoys are vulnerable to fishing and shipping activities.

Coastal Ocean Modeling and Observation Program: Real-time Adaptive Sampling Networks

1999 ◽  
Author(s):  
Scott M. Glenn ◽  
Dale B. Haidvogel ◽  
Oscar M. Schofield
Keyword(s):  
Real Time ◽  
Adaptive Sampling ◽  
Coastal Ocean ◽  
Ocean Modeling ◽  
Observation Program

Development of Regional Coastal Ocean Observatories and the Potential Benefits to Marine Sanctuaries

2003 ◽  
Vol 37 (1) ◽  
pp. 54-67 ◽  
Author(s):  
Oscar Schofield ◽  
Scott Glenn ◽  
Paul W. Bissett ◽  
Thomas K. Frazer ◽  
Debora Iglesias-Rodriguez ◽  
...  
Keyword(s):  
Real Time ◽  
Adaptive Sampling ◽  
Marine Biology ◽  
Rapid Development ◽  
Autonomous Underwater Vehicles ◽  
Surface Current ◽  
The United States ◽  
Time Data ◽  
Real Time Data ◽  
Potential Benefits

A network of coastal observatories is being built around the United States. While the motivations for developing these systems do not originate from marine sanctuaries per se, the sanctuaries stand to gain an unprecedented opportunity to benefit from real-time data and nowcasting/forecasting models. The construction of the observatories is being fueled by the rapid development in three enabling observational technologies. These technologies include (1) data acquisition systems that track the international constellation of IR and ocean color satellites; (2) nested grids multi-static SeaSonde surface current radars; and (3) a growing fleet of autonomous underwater vehicles. These observational assets are coupled to nowcast/forecast data assimilative models. These systems will allow the mean behavior in marine ecosystems to be defined while also providing real-time data that will allow adaptive sampling. The ability to adaptively sample the environment will allow scientists to make shrewd decisions about when and where to sample. Given this, developing the new approaches to measure critical biological processes and the geographic boundaries of those processes should be a key focus for the marine biology community. This will alter how scientists approach scientific questions in coastal waters.

scholarly journals Real-Time Continuous Acoustic Monitoring of Marine Mammals in the Mediterranean Sea

2021 ◽  
Vol 9 (12) ◽  
pp. 1389
Author(s):  
Matteo Sanguineti ◽  
Carlo Guidi ◽  
Vladimir Kulikovskiy ◽  
Mauro Gino Taiuti
Keyword(s):  
Real Time ◽  
Data Transmission ◽  
Marine Mammals ◽  
Acoustic Monitoring ◽  
Wireless Data ◽  
Time Data ◽  
Neutrino Telescopes ◽  
Acoustic Detector ◽  
Wireless Data Transmission ◽  
Passive Acoustic

The passive acoustic monitoring of cetaceans is a research method that can provide unique information on the animal’s behaviour since the animals can be studied at great depths and at a long-range without interference. Nevertheless, the real-time data collection, transfer, and analysis using these techniques are difficult to implement and maintain. In this paper, a review of several experiments that have used this approach will be provided. The first class of detectors consists of hydrophone systems housed under buoys on the sea surface with wireless data transmission, while the second type comprises several acoustic detector networks integrated within submarine neutrino telescopes cabled to the shore.

scholarly journals Smart Transit Dynamic Optimization and Informatics

2021 ◽  
Author(s):  
Hamid Reza Sabarshad
Keyword(s):  
New York ◽  
Social Welfare ◽  
Real Time ◽  
Dynamic Optimization ◽  
Arrival Process ◽  
Time Data ◽  
Data Set ◽  
Transit System ◽  
Real Time Data ◽  
Future Demand

With the popularity of Big Data and urban informatics, there is increasing interest in ways to use real time data to improve transportation system operations. In many real-wold applications, demand is revealed dynamically over time, and consequently the routes are determined dynamically as well. In this thesis, contributions are made to several key components of a “smart” transit system framework where dynamic operations are driven by real time information. The first component is in dynamic routing and pricing of a fleet of vehicles. A new dynamic dial-a-ride policy is introduced that features non-myopic pricing based on optimal tolling of queues to fit with the multi-server queueing approximation method. By including social optimal pricing, the social welfare of the resulting system outperforms a pricing policy based on the marginal cost increase of a passenger over a range of test instances. In the examples tested, improvements in social welfare of the non-myopic pricing over the myopic pricing were in the 20% - 31% range. The second component is in the informatics. Effective dynamic optimization of a system (routing, scheduling, fare setting, etc.) requires effective short term prediction of traveler/customer arrival using real-time data. Several recent methods for arrival process prediction, both offline and online, are investigated using real taxi data from New York. An experiment is conducted using the same data set to draw comparisons for arrival process modeling, suggesting that the temporal seasonal factors method from Ihlers et al. (2006) is more effective as an offline approach and the IntGARCH method from Matteson et al. (2011) is more effective as an online approach. The third component investigated is in the prepositioning of idle vehicles. Vehicles that are positioned at locations that take into account future demand can lead to reduced wait times for passengers and improved level of service. A dynamic relocation model is proposed that includes queueing delay to approximate the congestion effect of future demand. A linear problem is formulated based on Marianov and Serra’s (2002) work. By varying customer arrivals, the approach provides a new managerial tool to find the optimal service level.

Real-Time Estimation of Platform Crowding for New York City Subway: Case Study at Wall Street Station on No. 2 and No. 3 Lines in Financial District

2017 ◽  
Vol 2648 (1) ◽  
pp. 68-78 ◽  
Author(s):  
Adam Caspari ◽  
Brian Levine ◽  
Jeffrey Hanft ◽  
Alla Reddy
Keyword(s):  
New York ◽  
New York City ◽  
Real Time ◽  
York City ◽  
Time Estimation ◽  
Time Of Day ◽  
Time Data ◽  
Wall Street ◽  
Time Model ◽  
Control Center

Amid significant increases in ridership (9.8% over the past 5 years) on the more than 100 year-old New York City Transit (NYCT) subway system, NYCT has become aware of increased crowding on station platforms. Because of limited platform capacity, platforms become crowded even during minor service disruptions. A real-time model was developed to estimate crowding conditions and to predict crowding for 15 min into the future. The algorithm combined historical automated fare collection data on passenger entry used to forecast station entrance, automated fare collection origin–destination inference information used to assign incoming passengers to a particular direction and line by time of day, and general transit feed specification–real time data to determine predicted train arrival times used to assign passengers on the platform to an incoming train. This model was piloted at the Wall Street Station on the No. 2 and No. 3 Lines in New York City’s Financial District, which serves an average 28,000 weekday riders, and validated with extensive field checks. A dashboard was developed to display this information graphically and visually in real time. On the basis of predictions of gaps in service and, consequently, high levels of crowding, dispatchers at NYCT’s Rail Control Center can alter service by holding a train or skipping several stops to alleviate any crowding conditions and provide safe and reliable service in these situations.

Applied-Information Technology in Network Control System under the VB-Matlab Integration Environment

2014 ◽  
Vol 540 ◽  
pp. 385-389
Author(s):  
Zhong Shi Zhang ◽  
Li Xia Fu ◽  
Yong Zhang ◽  
Jian Lin Mao
Keyword(s):  
Control System ◽  
Real Time ◽  
Inverted Pendulum ◽  
Data Communication ◽  
Network Control ◽  
Network Environment ◽  
Network Control System ◽  
Time Data ◽  
Multiple Variables ◽  
Controlled Object

In order to get better effect to control the controlled object with uncertainty, non-linear and Multiple variables in the network environment,we designed the Network Control System in this paper which is based on Interface Programming between Matlab and VB.By using the Winsock of VB in network environment, the data can communicate between control system and controlled object under TCP-IP protocol,the data communication which is between VB and Matlab is depended on ActiveX in control system. In this paper,we take a linear inverted pendulum experiment with linear quadratic optimal level control for example in a network environment. the results show that the system can be stable and reliable on real-time object inverted pendulum control,The system has a certain reference value for factory equipment real-time data transferring and monitoring.

scholarly journals Wireless Data Acquisition and Control Systems for Agricultural Water Management Projects

2006 ◽  
Vol 16 (4) ◽  
pp. 595-604 ◽  
Author(s):  
S. Shukla ◽  
C.Y. Yu ◽  
J.D. Hardin ◽  
F.H. Jaber
Keyword(s):  
Water Management ◽  
Real Time ◽  
Data Loss ◽  
Agricultural Water ◽  
Wireless Data ◽  
Time Data ◽  
Agricultural Water Management ◽  
Total Cost ◽  
Wireless Data Acquisition ◽  
And Control

Continuous monitoring of hydraulic/hydrologic data for managing water for horticultural crops has been a challenge due to factors such as data loss, intensive resource requirements, and complicated setup and operation. The use of state-of-the-art wireless spread spectrum communication technology and wireless data acquisition and control (WDAC) systems for agricultural water management is discussed in this paper. The WDAC technology was applied to a research project where lysimeters were used for water quantity and quality studies for vegetables. Two types of WDAC networks, master–slave and peer-to-peer WDAC networks, are discussed. The WDAC system linked the wireless dataloggers to a network to make real-time data available over the Internet. The use of WDAC made it possible to collect real-time data and control the experiment (e.g., frequency of data collection) remotely through the Internet. The WDAC system for the lysimeter study was compared to a commonly used manual system with regard to potential instrument damage, data loss, ease of data collection and analyses, and total cost of monitoring. The advantages of the WDAC include: reduced equipment losses from natural disasters (e.g., lightning), improved equipment maintenance, reduced data loss from faulty equipment, higher project personnel efficiency, and real-time involvement by a dispersed team. The total cost of the WDAC system ($65,750) was about half that of the manual system ($130,380). The WDAC system was found to be an effective tool for agricultural water management projects.

Wireless Data Communication for Ocean Bottom Instrumentation

2004 ◽  
Author(s):  
H.-H. Shih ◽  
James Sprenke ◽  
Geoff French ◽  
William C. Boicourt
Keyword(s):  
Real Time ◽  
Data Communication ◽  
Base Station ◽  
System Component ◽  
Ocean Bottom ◽  
Wireless Data ◽  
Time Data ◽  
Real Time System ◽  
Baud Rate ◽  
Underwater Acoustic

The National Ocean Service (NOS) of NOAA maintains and operates a Physical Oceanography Real Time System (PORTS®) in the Nation’s major ports, harbors and bays. The traditional way to obtain real-time data from bottom mounted instruments is via underwater cable link. However, it is vulnerable to damages and costly to install and maintain. This paper describes a new approach utilizing wireless data telemetry. The system consists of an ocean bottom instrumentation platform and a data relay surface buoy. The bottom platform contains a RD Instruments (RDI) 1200 KHz acoustic Doppler current profiler (ADCP), a LinkQuest UWM1000 underwater acoustic transmitting modem, and acoustic recovery devices. The surface buoy supports a UWM1000 receiving modem and a Freewave 900MHz spread spectrum line-of-sight radio modem with antenna. The ADCP provides measurements of vertical current profiles at 6-minute interval and surface waves at hourly interval. The underwater acoustic modem transmits at 9.6 K baud rate the current data at the end of each 6-minute sampling, and wave data at the end of each 20-minute sampling. These data are relayed via radio at 48.5 K baud rate to a shore base station located at the University of Maryland’s Horn Point Laboratory about 16 miles away. There the data are then transferred in near-real-time via internet to NOS office in Silver Spring. Data are monitored and archived at both sites. The system was deployed off Taylors Island in the Chesapeake Bay in late July 2003 and was operated reliably through a 8-month period. It demonstrated successfully its measurement concept and capability for real-time monitoring of both currents and waves from a single ADCP instrument. This paper describes the overall system, component testings and field experiences, and presents some sample results.

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