A centralised remote data collection system using automated traps for managing and controlling the population of the Mediterranean (Ceratitis capitata) and olive (Dacus oleae) fruit flies

2013 ◽  
Author(s):  
Panayiotis Philimis ◽  
Elias Psimolophitis ◽  
Stavros Hadjiyiannis ◽  
Alessandro Giusti ◽  
Josep Perelló ◽  
...  
Keyword(s):  
Data Collection ◽  
Ceratitis Capitata ◽  
Fruit Flies ◽  
Collection System ◽  
Dacus Oleae ◽  
Data Collection System ◽  
The Mediterranean ◽  
Remote Data

scholarly journals Secure Remote Data Collection System Using Data Encryption

2019 ◽  
Vol 52 (27) ◽  
pp. 400-405
Author(s):  
Bruno Rodrigues ◽  
Alberto Cardoso ◽  
Jorge Bernardino ◽  
Nuno Simões ◽  
José Marques
Keyword(s):  
Data Collection ◽  
Data Encryption ◽  
Collection System ◽  
Data Collection System ◽  
Using Data ◽  
Remote Data

An Intellectualized System Applied on Pumping Station Based on DDA

2014 ◽  
Vol 543-547 ◽  
pp. 1471-1476
Author(s):  
Zhao Gang Wei
Keyword(s):  
Data Collection ◽  
Energy Conservation ◽  
Energy Saving ◽  
High Efficiency ◽  
Collection System ◽  
Data Collection System ◽  
Pumping Station ◽  
Pump Station ◽  
Remote Data

This passage introduces using inverters to achieve high efficiency and energy conservation, and using distributed remote data collection system to achieve anti-interfering, intelligent and energy-saving combined pumping station. The passage emphatically analyzes pump station system's structure, the energy-saving profits of inverter application, and the anti-interference of remote data collection. This system has been put into operation in several industrial corporations, and the reliability and energy conservation of it have been fully affirmed; therefore, it can be used as reference for other similar systems.

scholarly journals Intellectual beehives monitoring system

2019 ◽  
pp. 59-65
Author(s):  
Leonty Rustemovich Grigoryan ◽  
Maxim Sergeevich Kovalenko ◽  
Anastasia Leontyevna Grigoryan ◽  
Dmitry Yuryevich Paroshin
Keyword(s):  
Data Collection ◽  
Monitoring System ◽  
Remote Monitoring ◽  
Software Components ◽  
Collection System ◽  
Weather Factors ◽  
Data Collection System ◽  
Cloud Technologies ◽  
Remote Data

A system for remote monitoring of the parameters of bee hives is considered. The problem of remote monitoring at long distances, taking into account the changing weather factors, is very relevant. Among the variety of hardware for keeping bees, there is currently no unified monitoring system. The studies carried out allowed us to determine the optimal circuitry and software components of the construction of a monitoring system. The result of the development of a system with a local hive monitoring system and a remote data collection system using cloud technologies is presented in this work.    

A Numerically Coded File of Operative Procedures Derived from a Free Text Data Collection System : A Measure of the Accuracy

1976 ◽  
Vol 15 (01) ◽  
pp. 21-28 ◽  
Author(s):  
Carmen A. Scudiero ◽  
Ruth L. Wong
Keyword(s):  
Data Collection ◽  
Pap Smear ◽  
Operative Procedures ◽  
Free Text ◽  
Collection System ◽  
Process Data ◽  
Text Data ◽  
Data Collection System ◽  
History Of ◽  
Correlation System

A free text data collection system has been developed at the University of Illinois utilizing single word, syntax free dictionary lookup to process data for retrieval. The source document for the system is the Surgical Pathology Request and Report form. To date 12,653 documents have been entered into the system.The free text data was used to create an IRS (Information Retrieval System) database. A program to interrogate this database has been developed to numerically coded operative procedures. A total of 16,519 procedures records were generated. One and nine tenths percent of the procedures could not be fitted into any procedures category; 6.1% could not be specifically coded, while 92% were coded into specific categories. A system of PL/1 programs has been developed to facilitate manual editing of these records, which can be performed in a reasonable length of time (1 week). This manual check reveals that these 92% were coded with precision = 0.931 and recall = 0.924. Correction of the readily correctable errors could improve these figures to precision = 0.977 and recall = 0.987. Syntax errors were relatively unimportant in the overall coding process, but did introduce significant error in some categories, such as when right-left-bilateral distinction was attempted.The coded file that has been constructed will be used as an input file to a gynecological disease/PAP smear correlation system. The outputs of this system will include retrospective information on the natural history of selected diseases and a patient log providing information to the clinician on patient follow-up.Thus a free text data collection system can be utilized to produce numerically coded files of reasonable accuracy. Further, these files can be used as a source of useful information both for the clinician and for the medical researcher.

Salama SHIELD Foundation

2018 ◽  
Author(s):  
Mary Kay Gugerty ◽  
Dean Karlan
Keyword(s):  
Data Collection ◽  
Monitoring Data ◽  
Collection System ◽  
Design Data ◽  
Data Collection System ◽  
Program Officer

Monitoring data at the Ugandan Salama SHIELD Foundation revealed perfect repayment rates in its microfinance program. But rather than take these data at face value, a diligent program officer set out to determine if the data might be concealing other stories. In his efforts to investigate the truth behind the data, he made a number of decisions about what data to collect—and, importantly, what not to. But, as this case demonstrates, actionable data is only half the story; right-fit resources and systems are necessary to turn data into action. Readers will think critically about what data are necessary to answer key operational questions and will design data collection instruments to deliver these data. They will also consider ways of applying the CART principles to strengthen the data collection system and determine where the organization should focus its monitoring efforts.

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