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Related Concept Videos

Data Collection I01:30

Data Collection I

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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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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.
An astronomer viewing the motion and brightness of stars in the sky and recording the data is an example of observational data collection. A botanist recording...
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SI Units: 2019 Redefinition01:13

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Measurement is an indispensable part of analytical chemistry. The result of measurement helps quantify a substance's physical property and compare it with the physical property of another substance. Each measurement comprises two components - a number indicating the magnitude and a unit of measurement as a standard for comparison. Further, the same quantity can be measured using different units of measurement, which leads to differences in magnitude.
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Data Reporting and Recording01:24

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Reporting and recording are crucial in data documentation. The timely, thorough, and accurate documentation of facts is essential when recording patient data. Failure to record findings during an assessment or interpretation of a problem will result in loss of information and make the patient document unreliable. The reader is left with general impressions if the information is not specific. A recording is documenting data of the individual's health information in a traceable, secure, and...
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Units and Standards of Measurement01:10

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A physical quantity is defined either by specifying its measurement method or by stating how it is calculated from other measurements. For example, consider a metallic cube. We might define its mass and dimensions by specifying methods for measuring them, such as using a weighing machine and a meter scale. Then, we could define the volume by stating that it is the cube of its side, and we could calculate the density as the mass divided by the volume.
Measurements of physical quantities are...
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Data Collection by Survey01:07

Data Collection by Survey

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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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An Application for Pairing with Wearable Devices to Monitor Personal Health Status
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UIOT-FMT: A Universal Format for Collection and Aggregation of Data from Smart Devices.

Mats Seljeseth1, Muhammad Mudassar Yamin1, Basel Katt1

  • 1Department of Information Security and Communication Technology, Norwegian University of Science and Technology, Teknologivegen 22, 2815 Gjøvik, Norway.

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This study explores a universal data format for public safety, leveraging smart city sensors and Internet-of-Things (IoT) devices to enhance police services and emergency response in our increasingly technological world.

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IoTlaw enforcementsmart city

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Area of Science:

  • Information Technology and Public Safety
  • Smart City Sensor Data Integration

Background:

  • Information Technology (IT) and the Internet-of-Things (IoT) are increasingly integral to daily life.
  • The growing reliance on technology necessitates its application in public emergency services.
  • The nascent stage of IoT presents challenges for data standardization in law enforcement.

Purpose of the Study:

  • To investigate the feasibility of a universal data format for public services.
  • To explore how smart devices can meet the needs of police operations.
  • To address the need for a data consortium for policing in a tech-driven society.

Main Methods:

  • Analysis of police requirements in their line-of-duty.
  • Evaluation of smart device capabilities for satisfying law enforcement needs.
  • Development and demonstration of a data formatting framework for unifying smart city sensor data.

Main Results:

  • A data formatting framework has been developed and demonstrated.
  • The framework shows potential for unifying disparate data from smart city sensors.
  • The research outlines how smart devices can be practically applied to police work.

Conclusions:

  • A universal data format is plausible and necessary for modern public services.
  • Integrating smart city sensor data can significantly enhance police efficiency and emergency response.
  • The proposed framework offers a pathway to a more technologically integrated and effective law enforcement system.