Data Collecting System Based on CCN with Congestion Avoidance Routing on WSN

2017 ◽  
pp. 283-294
Author(s):  
Tetsuro Kuniyasu ◽  
Tetsuya Shigeyasu
Keyword(s):  
Congestion Avoidance ◽  
Data Collecting ◽  
Collecting System

A European scale monitoring system to assess water quality of multi-national river basins in the accession countries

2003 ◽  
Vol 48 (10) ◽  
pp. 103-110 ◽  
Author(s):  
J. Fehér ◽  
A. Lázár
Keyword(s):  
Water Resources ◽  
Subsurface Water ◽  
Nutrient Concentrations ◽  
Environmental Assessments ◽  
Data Collecting ◽  
Accession Countries ◽  
Catchment Size ◽  
Environment Agency ◽  
Collecting System

In the middle of the 1990s the European Environment Agency (EEA) started to develop a data collecting system for surface and subsurface water resources for assessing pressures, states and impacts on European water resources. The main objective of this system was to provide reliable, comparable, homogenous information, and support integrated environmental assessments at European level. The data collecting system for water is called Eurowaternet. The extent and information content of the network makes not only pan-European, but also regional or thematic environmental assessments possible. An extensive programme started in 1997 to support the Phare countries in their accession to the EU with implementation of this data collecting system in their countries. The paper briefly introduces the methodology of the system, but it focuses more on the application of the system in the accession countries, highlighting, through examples, the usefulness of the implemented network and assembled database. The examples present - among several other possible ones - trends of average nutrient concentrations; relationships between catchment size and annual average nutrient concentrations; relationships between catchment size and agricultural usage.

scholarly journals Az endoszkópos regiszterek szerepe a minőségi betegellátásban. Az új magyar Endoszkópos Retrográd Cholangiopancreatographia (ERCP) Regiszter első eredményei

2018 ◽  
Vol 159 (37) ◽  
pp. 1506-1515 ◽  
Author(s):  
Dániel Pécsi ◽  
Péter Hegyi ◽  
Andrea Szentesi ◽  
Szilárd Gódi ◽  
Ferenc Pakodi ◽  
...  
Keyword(s):  
Quality Indicators ◽  
Continuous Monitoring ◽  
Gastrointestinal Endoscopy ◽  
Late Complications ◽  
First Year ◽  
Free Text ◽  
Data Collecting ◽  
Clinically Significant ◽  
American Society ◽  
Collecting System

Abstract: Introduction: The continuous monitoring of quality indicators in gastrointestinal endoscopy has become an essential requirement nowadays. Most of these data cannot be extracted from the currently used free text reports, therefore a structured web-based data-collecting system was developed to record the indicators of pancreatobiliary endoscopy. Aim: A structured data-collecting system, the ERCP Registry, was initiated to monitor endoscopic retrograde cholangiopancreatography (ERCP) examinations prospectively, and to verify its usability. Method: From January 2017, all ERCPs performed at the First Department of Medicine, University of Pécs, have been registered in the database. In the first year, the detailed data of 595 examinations were entered into the registry. After processing these data, the testing period of the registry is now finished. Results: On 447 patients, 595 ERCPs were performed. The success rate of cannulation is 93.8% if all cases are considered. Difficult biliary access was noted in 32.1% of patients with native papilla, and successful cannulation was achieved in 81.0% of these cases during the first procedure. Post-ERCP pancreatitis was observed in 13 cases (2.2%), clinically significant post-papillotomy bleeding was registered in 2 cases (0.3%), while 27 patients (4.5%) developed temporary hypoxia during the procedure. 30-day follow-up was successful in 75.5% of the cases to detect late complications. All of the quality indicators determined by the American Society of Gastrointestinal Endoscopy (ASGE) were possible to monitor with the help of the registry. Our center already complies with most of these criteria. Conclusions: Continuous monitoring of the quality indicators of endoscopic interventions are not supported by the current hospital information system but it became possible with our registry. The ERCP Registry is a suitable tool to detect the quality of patient care and also useful for clinical research. Several endoscopy units have joined already this initiative and it is open for further centres through our web page ( https://tm-centre.org/hu/regiszterek/ercp-regiszter/ ). Orv Hetil. 2018; 159(37): 1506–1515.

scholarly journals Data Acquisition and Alert System for Recirculation Aquaculture System (RAS) using Fog Computing

2019 ◽  
Vol 3 (6) ◽  
pp. 6-10
Author(s):  
Siti Maryam Zainol ◽  
Keyword(s):  
Data Acquisition ◽  
Real Time ◽  
Fog Computing ◽  
Processing System ◽  
Raspberry Pi ◽  
Aquaculture System ◽  
Data Collecting ◽  
Level Sensor ◽  
Recirculation Aquaculture System ◽  
Collecting System

This research presents an improved and more effective approach for data acquisition of recirculation aquaculture system (RAS). The previous research, the system uses manual methods to take the important data from RAS and it wastes the time and also gets late response from the fish farmer if the data is not in the good condition. As a result, fog computing technology is applied to overcome all these problems and acts as advance data acquisition system to keep data safely by sharing the processed data in fog computing for every tanks and analyze the data to make an accurate control/decision in the real time. Besides, open source technology plus embedded system based will be integrated for this research because its benefits such as small size, low cost, light weight, portable, high efficiency and low power consumption. This research has achieved the objectives which are design a data collecting system for RAS, design a data processing system using fog computing and integrate, test and validate automatic data collection and processing strategy for recirculation aquaculture system (RAS). The data collecting system for RAS, RaspDAQ is developed by connecting Raspberry Pi 3 to temperature sensor (LM35DT) using analogue digital converter (ADC) MCP3002, water level sensor (HC-SR04), Rpi camera module, LEDs and buzzer. Software and program are built using Python and Apache server to run every functions of RaspDAQ. While third Raspberry Pi 3 is setup as data processing system, RaspFog using PHP, Apache and MySQL server. Both RaspDAQ and RaspFog are based on Raspbian operating system. After that, RaspDAQ1 and RaspDAQ2 are connected to RaspFog using WiFi technology to send sensors data in real time. The received data are stored and plotted using Highcharts.com graph. The data collecting system, RaspDAQ and data server and processor, RaspFog has been tested and validated. At the same time, users can see the graph output in the real time for temperature, water level sensor and real condition using Rpi camera module of RaspDAQ1 and RaspDAQ2 by browsing RaspFog website. From the observation, data has been transferred from RaspDAQ to RaspFog in a short duration which is less than 15 seconds. Consequently, the efficiency of data acquisition process has been improved from manual system to fog computing technology successfully.

scholarly journals UMA SOLUÇÃO PARA O SISTEMA BRASILEIRO DE COLETA DE DADOS AMBIENTAIS BASEADA EM NANOSSATÉLITES

2018 ◽  
Vol 7 ◽  
pp. 132-142
Author(s):  
Kurios Pinheiro Queiroz ◽  
Samaherni Morais Dias ◽  
José Marcelo Duarte ◽  
Manoel Mafra Carvalho
Keyword(s):  
Rio Grande ◽  
Data Collecting ◽  
Collecting System

Neste artigo, será apresentado o projeto CONASAT (Constelação de Nanossatélites Ambientais) desenvolvido pelo INPE (Instituto Nacional de Pesquisas Espaciais), em parceria com a AEB (Agência Espacial Brasileira) e a UFRN (Universidade Federal do Rio Grande do Norte). O objetivo principal desse projeto é apresentar uma solução de baixo custo para o Sistema Brasileiro de Coleta de Dados Ambientais (SBCDA), baseada em uma constelação de nanossatélites, com massa entre 1 kg a 10 kg, usando tecnologias emergentes nos ramos da eletrônica e da telecomunicação. Adicionalmente, será apresentada uma visão geral dos principais produtos tecnológicos do projeto CONASAT: o Receptor/Decodificador para SBCDA e ARGOS, chamado de Data Collecting System (DCS), e o software do Subsistema de Determinação e Controle de Atitude (SDCA) do satélite. O primeiro  é responsável por receber e decodificar os dados oriundos das Plataformas de Coleta de Dados Ambientais (PCDs), enquanto que o segundo é responsável pela orientação do satélite em órbita de acordo com as necessidade de operação. Por fim, algumas conclusões e considerações finais sobre o projeto CONASAT serão apresentadas.

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