scholarly journals COASTAL MAPPING AND KITESURFING

2018 ◽  
Vol XLII-4/W8 ◽  
pp. 3-10
Author(s):  
J. Barde ◽  
S. Bonhommeau ◽  
E. Chassot ◽  
B. Motah
Keyword(s):  
Data Collection ◽  
Data Storage ◽  
Low Cost ◽  
Environmental Parameters ◽  
Ocean Dynamics ◽  
Human Beings ◽  
Marine Animals ◽  
Coastal Mapping ◽  
Archival Tags ◽  
Recreational Vessels

<p><strong>Abstract.</strong> Collecting data on aquatic biodiversity is very challenging because of the difficulty to access underwater ecosystems. Over the years, field surveys have become easier and cheaper with the development of low cost electronics. Commercial and recreational vessels, including sailboats, can now substantially complement expensive scientific surveys and arrays of observation buoys deployed across the world oceans (Pesant et al., 2015, Karsenti et al., 2011). Meanwhile, a large variety of marine animals such as birds, mammals, and fish have become data collection platforms for both biological and environmental parameters through the advent of archival tags. It becomes obvious that data collection in coastal and high seas will become more popular and that citizen will play a growing role in acquiring information on ocean dynamics (physical, chemical and biological parameters). However, currently, very few attempts have been made to use Human beings as observation platforms. In this paper we describe large datasets (more than 200,000 pictures) that have been recently collected along the coast of Mauritius by using popular and cheap platforms such as kite surf and Stand Up Paddle. We describe the characteristics of the data collected and showcase how they can be geolocated and used to complement remote sensing and mapping in order to drastically extend the current scope of “old school” fieldwork. We point out some of the main limitations encountered which need to be addressed to foster this citizen science approach such as data storage and transmission, deep learning to automate image recognition. The methods are all based on open source softwares.</p>

scholarly journals Development of a Compatible, Low Cost and High Accurate Conservation Remote Sensing Technology for the Hygrothermal Assessment of Historic Walls

Electronics ◽  
2019 ◽  
Vol 8 (6) ◽  
pp. 643 ◽  
Author(s):  
Elena Lucchi ◽  
Luisa Dias Pereira ◽  
Mirco Andreotti ◽  
Roberto Malaguti ◽  
David Cennamo ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Data Acquisition ◽  
Data Storage ◽  
Communication Systems ◽  
Low Cost ◽  
Environmental Parameters ◽  
Data Acquisition System ◽  
Acquisition System ◽  
Remote Sensing Technology ◽  
Sensing Technology

This article aims to properly assess the hygrothermal properties of walls located in historic buildings, this study discloses the development of a remote sensing technology compatible with an in-situ measurement implemented in Palazzo Tassoni (Italy). As required by the international recommendations adapted to cultural heritage (CH), this monitoring system balances CH conservation, performance aspects and economic costs using an integrated multidisciplinary approach. Electronics for measurement of environmental parameters is composed of sensor measurements, data acquisition system and data storage and communication system. Data acquisition system, equipped with standard modbus-rtu interface, is designed to run standalone and it is based on two cloned single board PCs to reduce the possibility of data loss. In order to reduce the costs, RaspberryPI single board PCs were chosen. These run a C/C++ software based on standard modbus library and designed to implement multi-client server TCP/IP to allow communication with other devices. Storage and communication systems are based on an industrial PC; it communicates with sensor measurements’ system through a modbus-TCPIP bridge. PC runs a Labview software to provide data storage on a local database and graphical user interface to properly see all acquired data. Herein, some sensing options and approaches of measurement are described, unveiling different possible ways of enhancing the retrofit of CH with adapted technology.

scholarly journals Development of a Low-Cost Arduino-Based Weather Station

2020 ◽  
Vol 5 (2) ◽  
Author(s):  
Temilola M Adepoju ◽  
Matthias O Oladele ◽  
Abdulwakil A Kasali ◽  
Gbenga J Fabiyi
Keyword(s):  
Data Collection ◽  
Data Storage ◽  
Low Cost ◽  
Data Communication ◽  
Weather Data ◽  
Weather Station ◽  
Atmospheric Conditions ◽  
Rf Transceiver ◽  
Temperature And Humidity ◽  
Arduino Uno

A weather station is a facility located either on land or sea consisting of instruments and equipment which can be used to measure atmospheric conditions so as to provide weather forecasts information and to study the weather. The existing instruments used for measuring the weather elements are expensive which led to the development of a low-cost Arduino-based weather station. The developed low-cost weather station consists of three separate modules which are data collection, data storage, and data communication. These modules communicate serially with each other and are controlled by three separate microcontrollers (Arduino Uno). The data collection module is interfaced with a set of sensors that collects temperature and humidity. The weather data were viewed in real-time through a graphical user interface (GUI) located at the central station. The developed weather station was able to measure the temperature and humidity of a controlled environment, giving the reading at interval of five minutes. It was observed that the average temperature from results obtained (27.360C) with the developed low-cost Arduino based weather station falls within the range of the Accuweather readings (24.00-28.000C). Also, the average humidity of the developed low-cost Arduino based weather station (80.41%) falls within the range of the Weatherspark humidity (78-82%) on 20th August 2019. Therefore, this system can be adopted as a weather station facility. The design can be extended to be web-based in the future to make it available worldwide.Keywords— Arduino Uno, Humidity, RF Transceiver, Temperature, Weather Station

An Efficient Approach for Detection and Verification of Infected Cases of Covid-19 Virus through Block Chain: A Survey

2020 ◽  
Vol 10 ◽  
Author(s):  
Kanika Gupta ◽  
Aatif Jamshed
Keyword(s):  
Data Storage ◽  
Operations Management ◽  
World Health ◽  
Chain Model ◽  
Human Beings ◽  
Healthcare Applications ◽  
Food Market ◽  
Block Chain ◽  
Novel Coronavirus ◽  
Health Organization

: Some unknown cases of pneumonia were communicated to World Health Organization (WHO) on 31 December,2019 in China’s Wuhan state. The higher authorities of China informed novel coronavirus as the root cause and labelled as “nCov-2019”. This virus is lying into the virus’s family which propagates the diseases like cold flu, lungs infection and more serious diseases. It is not detected earlier in human beings as it is considered to be a new patch on life. Many countries have increased their surveillance forces around the globe to detect any new novel coronavirus cases. An efficient and safe network for secure data storage i.e. Block chain is used in several applications such as food market, healthcare applications, finance, operations management, Internet of Things (IoT). In this paper, with the use of this emerging technology, are able to track useful information and accelerate the treatment process of patients. It also preserves the person’s identity. Correct implementation of block chain model has the chances to restrict the coronavirus transmissions and its related mortality rate where there are inadequate facilities of testing. Other infectious diseases will also be curbed by this model. The advantages of this model can reach to various stakeholders who are involved in the healthcare field which helps us to restrict the transmission of various diseases.

scholarly journals Turning Base Transceiver Stations into Scalable and Controllable DC Microgrids Based on a Smart Sensing Strategy

Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1202
Author(s):  
Miguel Tradacete ◽  
Carlos Santos ◽  
José A. Jiménez ◽  
Fco Javier Rodríguez ◽  
Pedro Martín ◽  
...  
Keyword(s):  
Electricity Market ◽  
Low Cost ◽  
Storage System ◽  
Environmental Parameters ◽  
Weather Conditions ◽  
Energy Storage System ◽  
Electricity Grid ◽  
Dc Microgrids ◽  
Smart Sensing ◽  
Battery Energy

This paper describes a practical approach to the transformation of Base Transceiver Stations (BTSs) into scalable and controllable DC Microgrids in which an energy management system (EMS) is developed to maximize the economic benefit. The EMS strategy focuses on efficiently managing a Battery Energy Storage System (BESS) along with photovoltaic (PV) energy generation, and non-critical load-shedding. The EMS collects data such as real-time energy consumption and generation, and environmental parameters such as temperature, wind speed and irradiance, using a smart sensing strategy whereby measurements can be recorded and computing can be performed both locally and in the cloud. Within the Spanish electricity market and applying a two-tariff pricing, annual savings per installed battery power of 16.8 euros/kW are achieved. The system has the advantage that it can be applied to both new and existing installations, providing a two-way connection to the electricity grid, PV generation, smart measurement systems and the necessary management software. All these functions are integrated in a flexible and low cost HW/SW architecture. Finally, the whole system is validated through real tests carried out on a pilot plant and under different weather conditions.

Why and How We Need to Fill Criminal Justice Data Gaps

2021 ◽  
Vol 33 (4) ◽  
pp. 259-261
Author(s):  
Arthur Rizer ◽  
Dan King
Keyword(s):  
Criminal Justice ◽  
Data Collection ◽  
Data Storage ◽  
Justice System ◽  
The United States ◽  
Policy Makers ◽  
Crime And Punishment ◽  
Data Gaps ◽  
Key Terms ◽  
Silver Bullet

For the past 50 plus years the United States has been debating the very nature of our criminal justice system. Are we too lenient? Are we too vindictive? Do we give too much power to our cops and prosecutors or too many protections to defendants? But maybe most important, is there a better way? Can we ensure we have both safety and dignity built into our system? These questions are extremely difficult for law makers to answer because of the moral implications involved with crime and punishment, but also because of one glaring weakness: data sharing and reporting. We simply do not have comprehensive data collection systems for policy makers to draw on to design interventions that can protect public safety and help heal community wounds. While there is no silver bullet that will fix these problems, we believe attention should be paid to: 1) fixing inconsistencies in key terms so data collection can be universal, 2) fixing the issues with delayed reporting so the data we have is up to date for researchers and policy makers, and 3) addressing issues with inadequate and inconsistent data storage so not only will the data be available but assessable to those who can use it to improve the system.

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