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Related Concept Videos

Data Collection by Observations01:08

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Data collection refers to a systematic way of obtaining, observing, measuring, and analyzing accurate information. Observational studies are one of the most widely used methods of data collection. It involves collecting data by observing the behavior and physical characteristics of a sample without making any modifications to the sample.
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Data collection gathers information needed to make accurate judgments about a patient's present condition. During a health history interview, subjective data is collected from the patient, their caregivers, or family members, and objective data is collected through observations and physical assessment. Patients are the primary source of subjective data. Thus information gathered from patients through interviews, observations, and physical examination is primary data. Secondary sources of...
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Collecting samples or responses from an entire population takes significant time and effort, so a researcher collects responses from only a sample of that population. Suppose a study needs to collect information about a specific mobile application. After sample collection, the researcher analyzes the data and discovers that most individuals in the sample use that specific mobile application. The sample proportion measures the number of individuals in a sample who either use or don't use the...
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The systematic method of obtaining and analyzing accurate information of a population is called data collection. A survey is a standard method of data collection that involves collecting information from a target human population about their experience, opinion, or knowledge of a product, service, or process. The responses are recorded and interpreted. The most common survey examples are written questionnaires, face-to-face or telephonic conversations, focus groups, and electronic (e-mail or...
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The physical assessment examines the patient for objective data that defines the patient's condition, and aids in formulating the nursing care plan. The purpose of physical assessment is a health status appraisal, which includes identifying health problems, and establishing a database for nursing intervention.
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Data Collection for Mobile Group Consumption: An Asynchronous Distributed Approach.

Weiping Zhu1,2, Weiran Chen3, Zhejie Hu4

  • 1International School of Software, Wuhan University, Wuhan 430079, China. wpzhu@whu.edu.cn.

Sensors (Basel, Switzerland)
|April 9, 2016
PubMed
Summary
This summary is machine-generated.

This study introduces an asynchronous distributed approach for collecting mobile group consumption data, overcoming limitations of centralized systems. The method effectively handles complex group dynamics and asynchronous events, improving data collection reliability.

Keywords:
asynchronousdata collectiondistributedmobile group consumption

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Area of Science:

  • Computer Science
  • Distributed Systems
  • Mobile Computing

Background:

  • Centralized data collection for mobile group consumption presents bottlenecks, single-point failures, and security risks.
  • Existing systems rely on unrealistic synchronized clocks due to hardware, privacy, and cost constraints.
  • Complex relationships among group members in mobile consumption necessitate novel data collection methods.

Purpose of the Study:

  • To propose the first asynchronous distributed approach for collecting mobile group consumption data.
  • To address the limitations of centralized systems and synchronized clock dependencies.
  • To enable effective causality detection in asynchronous distributed environments.

Main Methods:

  • Formalized a system model based on asynchronous distributed communication.
  • Developed a simulation system for the proposed model.
  • Designed a three-layer solution framework for data collection and causality analysis.

Main Results:

  • The proposed asynchronous distributed approach effectively collects mobile group consumption data.
  • The system model and simulation demonstrate the feasibility of the approach.
  • Causality detection between gathering events is supported using various definitions.

Conclusions:

  • The asynchronous distributed approach is a viable and effective solution for mobile group consumption data collection.
  • This method enhances reliability and security compared to centralized, synchronized systems.
  • The framework supports advanced analysis, including causality detection in asynchronous settings.