Airborne near-real-time monitoring of assembly and parking areas in case of large-scale public events and natural disasters

2013 ◽  
Vol 28 (4) ◽  
pp. 682-699 ◽  
Author(s):  
Hannes Römer ◽  
Jens Kersten ◽  
Ralph Kiefl ◽  
Stefan Plattner ◽  
Alexander Mager ◽  
...  
Keyword(s):  
Natural Disasters ◽  
Real Time ◽  
Large Scale ◽  
Real Time Monitoring ◽  
Public Events

scholarly journals Digital health for real-time monitoring of a national immunisation campaign in Indonesia: a large-scale effectiveness evaluation

BMJ Open ◽  
2020 ◽  
Vol 10 (12) ◽  
pp. e038282
Author(s):  
Hafizah Jusril ◽  
Iwan Ariawan ◽  
Rita Damayanti ◽  
Lutfan Lazuardi ◽  
Miriam Musa ◽  
...  
Keyword(s):  
Real Time ◽  
Large Scale ◽  
Health Workers ◽  
Digital Health ◽  
Ease Of Use ◽  
Qualitative Assessment ◽  
Vaccine Hesitancy ◽  
Real Time Monitoring ◽  
Risk Profiles ◽  
National Immunisation

ObjectiveTo assess the contribution of a digital health real-time monitoring platform towards the achievement of coverage targets during a national immunisation campaign in Indonesia.InterventionsA digital health platform was introduced to facilitate real-time reporting and data visualisation. Health workers submitted reports of children immunised each day by geolocation using mobile phones. Automated reports were generated for programme managers at all levels to enable early responses to coverage gaps.MethodsRisk profiles were generated for each district to assess precampaign immunisation programme performance. Digital health platform use and progress towards targets were monitored continuously throughout the campaign. Study outcomes were total coverage and time to achieve full (100%) coverage. Kaplan-Meier, Cox and linear regression analyses were used to estimate the associations and outcomes after adjusting for district risk profiles. A complementary qualitative assessment explored user experiences and acceptance through interviews with vaccinators and programme managers in provinces and districts selected through multistage random sampling.ResultsBetween August and December 2018, 6462 health facilities registered to use the digital health platform across 28 provinces and 395 districts. After adjusting for precampaign district risk profile and intracampaign delays due to vaccine hesitancy, districts with greater platform utilisation demonstrated higher coverage overall (R2=0.28, p<0.0001) and a shorter interval to achieving full coverage (>75% reporting compliance; Risk Ratio 15.4, 95% CI 5.8 to 40.6). Stronger effects were observed among districts experiencing implementation delays due to vaccine hesitancy. Results from 106 key informant interviews conducted in 6 provinces and 18 districts suggest high degrees of acceptability, ease of use and satisfaction.ConclusionA digital health platform introduced for real-time monitoring of a national immunisation campaign in Indonesia was feasible, well liked and associated with improved problem solving and programme performance, particularly among districts affected by vaccine hesitancy.Trial registration numberISRCTN10850448.

scholarly journals Experimental and Mathematical Models for Real-Time Monitoring and Auto Watering Using IoT Architecture

Computers ◽  
2022 ◽  
Vol 11 (1) ◽  
pp. 7
Author(s):  
Jabar H. Yousif ◽  
Khaled Abdalgader
Keyword(s):  
Mathematical Models ◽  
Real Time ◽  
Water Consumption ◽  
Large Scale ◽  
Irrigation System ◽  
Threshold Value ◽  
Real Time Monitoring ◽  
Development Environment ◽  
Water Rate ◽  
Desert Areas

Manufacturing industries based on Internet of Things (IoT) technologies play an important role in the economic development of intelligent agriculture and watering. Water availability has become a global problem that afflicts many countries, especially in remote and desert areas. An efficient irrigation system is needed for optimizing the amount of water consumption, agriculture monitoring, and reducing energy costs. This paper proposes a real-time monitoring and auto-watering system based on predicting mathematical models that efficiently control the water rate needed. It gives the plant the optimal amount of required water level, which helps to save water. It also ensures interoperability among heterogeneous sensing data streams to support large-scale agricultural analytics. The mathematical model is embedded in the Arduino Integrated Development Environment (IDE) for sensing the soil moisture level and checking whether it is less than the pre-defined threshold value, then plant watering is performed automatically. The proposed system enhances the watering system’s efficiency by reducing the water consumption by more than 70% and increasing production due to irrigation optimization. It also reduces the water and energy consumption amount and decreases the maintenance costs.

scholarly journals Implementation of a Large-Scale Platform for Cyber-Physical System Real-Time Monitoring

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 52455-52466 ◽  
Author(s):  
Mikel Canizo ◽  
Angel Conde ◽  
Santiago Charramendieta ◽  
Raul Minon ◽  
Raul G. Cid-Fuentes ◽  
...  
Keyword(s):  
Real Time ◽  
Physical System ◽  
Large Scale ◽  
Cyber Physical System ◽  
Real Time Monitoring

scholarly journals Toward the Use of Temporary Tattoo Electrodes for Impedancemetric Respiration Monitoring and Other Electrophysiological Recordings on Skin

Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1197
Author(s):  
Silvia Taccola ◽  
Aliria Poliziani ◽  
Daniele Santonocito ◽  
Alessio Mondini ◽  
Christian Denk ◽  
...  
Keyword(s):  
Real Time ◽  
Large Scale ◽  
Scale Production ◽  
Real Time Monitoring ◽  
Impedance Measurements ◽  
Respiration Monitoring ◽  
Transthoracic Impedance ◽  
Electrophysiological Recordings ◽  
Large Scale Production ◽  
Jet Printing

The development of dry, ultra-conformable and unperceivable temporary tattoo electrodes (TTEs), based on the ink-jet printing of poly(3,4-ethylenedioxythiophene) polystyrene sulfonate (PEDOT:PSS) on top of commercially available temporary tattoo paper, has gained increasing attention as a new and promising technology for electrophysiological recordings on skin. In this work, we present a TTEs epidermal sensor for real time monitoring of respiration through transthoracic impedance measurements, exploiting a new design, based on the application of soft screen printed Ag ink and magnetic interlink, that guarantees a repositionable, long-term stable and robust interconnection of TTEs with external “docking” devices. The efficiency of the TTE and the proposed interconnection strategy under stretching (up to 10%) and over time (up to 96 h) has been verified on a dedicated experimental setup and on humans, fulfilling the proposed specific application of transthoracic impedance measurements. The proposed approach makes this technology suitable for large-scale production and suitable not only for the specific use case presented, but also for real time monitoring of different bio-electric signals, as demonstrated through specific proof of concept demonstrators.

The SMS Backhaul of WSN Monitor System in Landslide

2011 ◽  
Vol 130-134 ◽  
pp. 4189-4193
Author(s):  
Zhen Ping Cui ◽  
Shu Yan
Keyword(s):  
Natural Disasters ◽  
Real Time ◽  
Monitoring System ◽  
Early Warning ◽  
Transmission System ◽  
Monitor System ◽  
Real Time Monitoring ◽  
The Real ◽  
Damages And Losses ◽  
Landslide Zone

Landslide is one of the most serious natural disasters, forecast and early warnings are important. The SMS backhaul of WSN monitor system is discussed in this paper. After analyzing the transmission system of WSN at present, this paper intend to combine GPRS-Internet, SMS-PP and SMS-CB to pass early warning back to inhabitants, so as to further ensure the reliability and instantaneity. In order to send early warning to every person in landslide zone, several situations are considered. With the real-time monitoring system and extensive early warning backhaul, the damages and losses would be reduced.

Real-time monitoring and automatic density control of large-scale microalgal cultures using near infrared (NIR) optical density sensors

2006 ◽  
Vol 122 (2) ◽  
pp. 209-215 ◽  
Author(s):  
J.M. Sandnes ◽  
T. Ringstad ◽  
D. Wenner ◽  
P.H. Heyerdahl ◽  
T. Källqvist ◽  
...  
Keyword(s):  
Real Time ◽  
Optical Density ◽  
Large Scale ◽  
Near Infrared ◽  
Real Time Monitoring ◽  
Density Control

scholarly journals Advances and Trends in Real Time Visual Crowd Analysis

Sensors ◽  
2020 ◽  
Vol 20 (18) ◽  
pp. 5073
Author(s):  
Khalil Khan ◽  
Waleed Albattah ◽  
Rehan Ullah Khan ◽  
Ali Mustafa Qamar ◽  
Durre Nayab
Keyword(s):  
Real Time ◽  
Large Scale ◽  
State Of The Art ◽  
Research Work ◽  
Future Research ◽  
Crowd Analysis ◽  
Crowd Management ◽  
Public Events ◽  
Advantages And Disadvantages ◽  
Art Methods

Real time crowd analysis represents an active area of research within the computer vision community in general and scene analysis in particular. Over the last 10 years, various methods for crowd management in real time scenario have received immense attention due to large scale applications in people counting, public events management, disaster management, safety monitoring an so on. Although many sophisticated algorithms have been developed to address the task; crowd management in real time conditions is still a challenging problem being completely solved, particularly in wild and unconstrained conditions. In the proposed paper, we present a detailed review of crowd analysis and management, focusing on state-of-the-art methods for both controlled and unconstrained conditions. The paper illustrates both the advantages and disadvantages of state-of-the-art methods. The methods presented comprise the seminal research works on crowd management, and monitoring and then culminating state-of-the-art methods of the newly introduced deep learning methods. Comparison of the previous methods is presented, with a detailed discussion of the direction for future research work. We believe this review article will contribute to various application domains and will also augment the knowledge of the crowd analysis within the research community.

Sign in / Sign up

Export Citation Format

Share Document