A decentralised microcomputer based system for remote data collection

1983 ◽  
Vol 7 (1) ◽  
pp. 15-22
Author(s):  
B.A. Abaza ◽  
B. Safaie ◽  
A.L. Kadib
Keyword(s):  
Data Collection ◽  
Remote Data

scholarly journals Do It for the Culture: The Case for Memes in Qualitative Research

2021 ◽  
Vol 20 ◽  
pp. 160940692110258
Author(s):  
Constance Iloh
Keyword(s):  
Qualitative Research ◽  
Data Collection ◽  
21St Century ◽  
Research Process ◽  
Qualitative Inquiry ◽  
Cultural Relevance ◽  
Prominent Feature ◽  
Rapport Building ◽  
Everyday Communication ◽  
Remote Data

Memes are a prominent feature of global life in the 21st century. The author asserts that memes are significant to current and future qualitative research. In particular, the text establishes memes as: (a) part of everyday communication, expression, and explanation, thus useful in qualitative research; (b) valuable cultural units and symbols; (c) forms of rapport building and cultivating relational research; (d) approaches that bolster and sustain remote data collection; (e) methods that infuse agency, humor, and creativity into the research process. The author then showcases distinctive ways memes can be effectively incorporated in qualitative research pursuits and publications. The article concludes with the necessity of data collection and representation approaches that advance the meaningfulness and cultural-relevance of qualitative inquiry.

Remote Data Collection and Control for Hydrogeologic Monitoring

1990 ◽  
Vol 10 (3) ◽  
pp. 138-142 ◽  
Author(s):  
Martin Adomait ◽  
Robert W. Gillham
Keyword(s):  
Data Collection ◽  
And Control ◽  
Remote Data

scholarly journals Utility of Short Message Service (SMS) for Remote Data Collection for HIV in Low- and Middle-Income Countries

2020 ◽  
Vol 17 (6) ◽  
pp. 654-662
Author(s):  
Alison L. Drake ◽  
Claire Rothschild ◽  
Wenwen Jiang ◽  
Keshet Ronen ◽  
Jennifer A. Unger
Keyword(s):  
Data Collection ◽  
Short Message Service ◽  
Short Message ◽  
Middle Income ◽  
Middle Income Countries ◽  
Message Service ◽  
Low And Middle Income ◽  
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

Based on ARM Embedded Remote Data Acquisition System

2012 ◽  
Vol 614-615 ◽  
pp. 1566-1569
Author(s):  
Qiang Liu ◽  
Guo Hua Fu ◽  
Xin Ge Lian ◽  
Jun Wang
Keyword(s):  
Data Collection ◽  
Data Acquisition ◽  
Data Acquisition System ◽  
Video Data ◽  
Acquisition System ◽  
Price Ratio ◽  
Collection System ◽  
Application Range ◽  
Sd Card ◽  
Remote Data

Because of the data acquisition system is more and more wide application range, involved the signal source and the type of more and more of the requirement of measurement, more and more is also high, the domestic now has quite a few data collection system and measurement, but many systems are simple function, and acquisition channel, the sampling rate is low, less complex operation, and higher requirements for test environment. People need a wide application range, high performance/price ratio of data acquisition system. In this paper, the main content is the use of ARM9 processor C2440A primarily controller series 3, design an embedded data acquisition system. Using ARM9 chip do microprocessor design remote data acquisition system, through the embedded Linux system video data collection USB cameras, the JPEG compression coding, ARM9 chip control data acquisition by most industrial environmental restrictions for collection system that has a large capacity of the storage and wireless forwarding function. This paper to S3C2440A as the core, with A piece of FPGA and A piece of Ethernet CS8900A controller for auxiliary to realize the digital parts of the system hardware, analog part two way by the A/D acquisition, variable gain amplifier and basic amplifying circuit component. The system also realize the SD card memory function and various interface such as serial ports and JTAG mouth. In the software of realized in development platform on Linux system of transplantation, separately from the Bootloader transplantation, Linux kernel transplantation and root file system, the establishment of the three are expounded. And completion of the A/D converter, SD card and CS8900A in the drive design under Linux, and finally the data acquisition, storage design and forwarding program.

Remote data collection on ice breakup dynamics: Saint John River case study

2011 ◽  
Vol 67 (3) ◽  
pp. 135-145 ◽  
Author(s):  
Spyros Beltaos ◽  
Robert Rowsell ◽  
Patrick Tang
Keyword(s):  
Data Collection ◽  
Ice Breakup ◽  
Saint John ◽  
Remote Data

scholarly journals Advances in Behavioral Remote Data Collection in the Home Setting: Assessing the Mother-Infant Relationship and Infant’s Adaptive Behavior via Virtual Visits

2021 ◽  
Vol 12 ◽  
Author(s):  
Eunkyung Shin ◽  
Cynthia L. Smith ◽  
Brittany R. Howell
Keyword(s):  
Data Collection ◽  
Adaptive Behavior ◽  
Developmental Psychology ◽  
Maternal Sensitivity ◽  
Structured Interview ◽  
Behavioral Data ◽  
Book Reading ◽  
Home Setting ◽  
Virtual Visits ◽  
Remote Data

Psychological science is struggling with moving forward in the midst of the COVID-19 pandemic, especially due to the halting of behavioral data collection in the laboratory. Safety barriers to assessing psychological behavior in person increased the need for remote data collection in natural settings. In response to these challenges, researchers, including our team, have utilized this time to advance remote behavioral methodology. In this article, we provide an overview of our group’s strategies for remote data collection methodology and examples from our research in collecting behavioral data in the context of psychological functioning. Then, we describe the design and development of our strategies for remote data collection of mother-infant interactions, with the goal being to assess maternal sensitivity and intrusiveness, as well as infants’ adaptive behaviors in several developmental domains. During these virtual visits over Zoom, mother-infant dyads watched a book-reading video and were asked to participate in peek-a-boo, toy play, and toy removal tasks. After the behavioral tasks, a semi-structured interview (Vineland Adaptive Behavior Scale – VABS III) was conducted to assess the infant’s adaptive behavior in communication, socialization, daily living skills, and motor domains. We delineate the specific strategies we applied to integrate laboratory tasks and a semi-structured interview into remote data collection in home settings with mothers and infants. We also elaborate on issues encountered during remote data collection and how we resolved these challenges. Lastly, to inform protocols for future remote data collection, we address considerations and recommendations, as well as benefits and future directions for behavioral researchers in developmental psychology research.

scholarly journals The feasibility of using remote data collection tools in field surveys

2017 ◽  
Vol 5 (1) ◽  
pp. 81 ◽  
Author(s):  
Sherin Susan Paul N. ◽  
Philip Mathew ◽  
Felix Johns ◽  
Jacob Abraham
Keyword(s):  
Data Collection ◽  
Chronic Diseases ◽  
Clinical Frailty Scale ◽  
Field Surveys ◽  
Global Positioning ◽  
Main Computer ◽  
Back Ground ◽  
History Of ◽  
Artery Disease ◽  
Remote Data

Background: The objectives of the study were to conduct a field survey to measure the prevalence of chronic diseases by taking history, to assess the feasibility of using remote data collection tools in field surveys and to create the map of the survey area using global positioning system (GPS). Methods: A community survey was carried out in two urban municipal wards by trainees with medical sociology back ground among those aged 35 years and above. There were a total of 563 participants from whom history of chronic diseases were collected and from those aged 60 years and above the presence of frailty was assessed using Canadian Study of Health and Ageing (CSHA) Clinical Frailty Scale. The data was collected using a remote data collection application named KoBo Toolbox, downloaded in their smart phones, which was sent directly to the main computer in the Clinical Epidemiological Unit, using mobile data or Wi-Fi hotspots. The co-ordinates of the households were marked using GPS which was also sent through the KoBo Toolbox to the main computer. At the centre the data was converted into excel sheets and various percentages were calculated. Results: In the survey the proportion affected with diabetes, hypertension, coronary artery disease and cerebrovascular accidents were 24%, 20.6%, 10.5% and 3.5% respectively. Among the older population 2.2% were found to be severely frail or worse requiring special care. The field map of the area surveyed was also generated using the co-ordinates marked using the GPS enabled phones. Conclusions: The remote data collection tool enabled us to conduct a survey on chronic diseases, effectively, within a limited period of time, creating a map of the area surveyed. 

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