A windows computer application for long term data acquisition, storage and presentation of biological signals

2001 ◽  
Vol 66 (2-3) ◽  
pp. 209-218 ◽  
Author(s):  
Samo Ribarič ◽  
Mihovil Šantić
Keyword(s):  
Data Acquisition ◽  
Computer Application ◽  
Biological Signals ◽  
Term Data

Beyond Micro-Tasks

2018 ◽  
Vol 29 (1) ◽  
pp. 1-22 ◽  
Author(s):  
Roman Lukyanenko ◽  
Jeffrey Parsons
Keyword(s):  
Data Acquisition ◽  
Data Management ◽  
Future Research ◽  
Information Production ◽  
Management Research ◽  
Research Attention ◽  
Important Type ◽  
Sensory Ability ◽  
Term Data

The emergence of crowdsourcing as an important mode of information production has attracted increasing research attention. In this article, the authors review crowdsourcing research in the data management field. Most research in this domain can be termed tasked-based, focusing on micro-tasks that exploit scale and redundancy in crowds. The authors' review points to another important type of crowdsourcing – which they term observational – that can expand the scope of extant crowdsourcing data management research. Observational crowdsourcing consists of projects that harness human sensory ability to support long-term data acquisition. The authors consider the challenges in this domain, review approaches to data management for crowdsourcing, and suggest directions for future research that bridges the gaps between the two research streams.

Development of long-term data acquisition system of noise exposure and personal behavior for analysis of health risk: Measuring equipments

2012 ◽  
Vol 131 (4) ◽  
pp. 3224-3224
Author(s):  
Yuichi Yonemoto ◽  
Masaharu Ohya ◽  
Hiroyuki Imaizumi ◽  
Kazutoshi Fujimoto ◽  
Ken Anai ◽  
...  
Keyword(s):  
Health Risk ◽  
Data Acquisition ◽  
Noise Exposure ◽  
Data Acquisition System ◽  
Acquisition System ◽  
Personal Behavior ◽  
Term Data

60-channel high-resolution counter array for high-speed continuous long-term data acquisition

2005 ◽  
Author(s):  
F. Baronti ◽  
D. Lunardini ◽  
R. Roncella ◽  
R. Saletti ◽  
F. Zappa
Keyword(s):  
High Resolution ◽  
Data Acquisition ◽  
High Speed ◽  
Term Data

scholarly journals A Wearable Cardiac Monitor for Long-Term Data Acquisition and Analysis

2013 ◽  
Vol 60 (1) ◽  
pp. 189-192 ◽  
Author(s):  
Eric S. Winokur ◽  
Maggie K. Delano ◽  
Charles G. Sodini
Keyword(s):  
Data Acquisition ◽  
Cardiac Monitor ◽  
Term Data

Beyond Micro-Tasks

Crowdsourcing ◽  
2019 ◽  
pp. 1510-1535
Author(s):  
Roman Lukyanenko ◽  
Jeffrey Parsons
Keyword(s):  
Data Acquisition ◽  
Data Management ◽  
Future Research ◽  
Information Production ◽  
Management Research ◽  
Research Attention ◽  
Important Type ◽  
Sensory Ability ◽  
Term Data

The emergence of crowdsourcing as an important mode of information production has attracted increasing research attention. In this article, the authors review crowdsourcing research in the data management field. Most research in this domain can be termed tasked-based, focusing on micro-tasks that exploit scale and redundancy in crowds. The authors' review points to another important type of crowdsourcing – which they term observational – that can expand the scope of extant crowdsourcing data management research. Observational crowdsourcing consists of projects that harness human sensory ability to support long-term data acquisition. The authors consider the challenges in this domain, review approaches to data management for crowdsourcing, and suggest directions for future research that bridges the gaps between the two research streams.

Beyond Micro-Tasks

2019 ◽  
pp. 1403-1428
Author(s):  
Roman Lukyanenko ◽  
Jeffrey Parsons
Keyword(s):  
Data Acquisition ◽  
Data Management ◽  
Future Research ◽  
Information Production ◽  
Management Research ◽  
Research Attention ◽  
Important Type ◽  
Sensory Ability ◽  
Term Data

The emergence of crowdsourcing as an important mode of information production has attracted increasing research attention. In this article, the authors review crowdsourcing research in the data management field. Most research in this domain can be termed tasked-based, focusing on micro-tasks that exploit scale and redundancy in crowds. The authors' review points to another important type of crowdsourcing – which they term observational – that can expand the scope of extant crowdsourcing data management research. Observational crowdsourcing consists of projects that harness human sensory ability to support long-term data acquisition. The authors consider the challenges in this domain, review approaches to data management for crowdsourcing, and suggest directions for future research that bridges the gaps between the two research streams.

Hydrogeological responses in tropical mountainous springs

2019 ◽  
Author(s):  
Ricardo Sánchez-Murillo
Keyword(s):  
Costa Rica ◽  
Isotope Composition ◽  
Central Valley ◽  
Distribution Functions ◽  
Geochemical Composition ◽  
Transit Times ◽  
Management Plans ◽  
Best Fit ◽  
Term Data

This study presents a hydrogeochemical analysis of spring responses (2013-2017) in the tropical mountainous region of the Central Valley of Costa Rica. The isotopic distribution of δ18O and δ2H in rainfall resulted in a highly significant meteoric water line: δ2H = 7.93×δ18O + 10.37 (r2=0.97). Rainfall isotope composition exhibited a strong dependent seasonality. The isotopic variation (δ18O) of two springs within the Barva aquifer was simulated using the FlowPC program to determine mean transit times (MTTs). Exponential-piston and dispersion distribution functions provided the best-fit to the observed isotopic composition at Flores and Sacramento springs, respectively. MTTs corresponded to 1.23±0.03 (Sacramento) and 1.42±0.04 (Flores) years. The greater MTT was represented by a homogeneous geochemical composition at Flores, whereas the smaller MTT at Sacramento is reflected in a more variable geochemical response. The results may be used to enhance modelling efforts in central Costa Rica, whereby scarcity of long-term data limits water resources management plans.

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