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  <title>FDA Collection:</title>
  <link rel="alternate" href="http://hdl.handle.net/2451/75160" />
  <subtitle />
  <id>http://hdl.handle.net/2451/75160</id>
  <updated>2026-04-14T07:08:31Z</updated>
  <dc:date>2026-04-14T07:08:31Z</dc:date>
  <entry>
    <title>Data Analytics Made Simple: How to Structure Research and Choose the Right Method.</title>
    <link rel="alternate" href="http://hdl.handle.net/2451/75509" />
    <author>
      <name>Christine Lumen</name>
    </author>
    <id>http://hdl.handle.net/2451/75509</id>
    <updated>2025-10-30T19:49:49Z</updated>
    <published>2025-09-01T00:00:00Z</published>
    <summary type="text">Title: Data Analytics Made Simple: How to Structure Research and Choose the Right Method.
Authors: Christine Lumen
Abstract: Chapter 1: Defining Research Questions – From Idea to Data-Driven Inquiry from the book Data Analytics Made Simple: How to Structure Research and Choose the Right Method.&#xD;
The chapter introduces readers to the foundation of research design by explaining how to move from curiosity to structured inquiry. It covers key concepts such as forming hypotheses, ensuring testability, and developing clear, measurable research questions that guide data collection and analysis. The content is written in an accessible, student-friendly style and includes examples, simplified explanations, and visual aids to support understanding.</summary>
    <dc:date>2025-09-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Just Walk Out Technology (JWO)/ AmazonGo</title>
    <link rel="alternate" href="http://hdl.handle.net/2451/75505" />
    <author>
      <name>Lumen, Christine</name>
    </author>
    <id>http://hdl.handle.net/2451/75505</id>
    <updated>2025-10-20T17:48:26Z</updated>
    <published>2025-10-20T00:00:00Z</published>
    <summary type="text">Title: Just Walk Out Technology (JWO)/ AmazonGo
Authors: Lumen, Christine
Abstract: This paper examines Amazon Go’s Just Walk Out (JWO) technology as a leading example of Internet of Things (IoT) integration in automated retail. The study explores how multiple sensing modalities—such as depth-sensing cameras, load cells, and RFID tags—operate through sensor fusion to enable seamless, real-time inventory tracking and automated checkout. Through an analysis of the system’s, the paper explains how structured light and Time-of-Flight (ToF) sensors capture three-dimensional spatial data, while edge computing nodes process information locally to minimize latency and enhance accuracy. The findings highlight how sensors in combination with cloud computing systems supports rapid decision-making. Moreover, the study discusses the possible challenges the system may encounter and proposes solutions to address them. While Amazon Go represents a significant milestone in smart retail, its success also highlights that much work remains to be done before such fully autonomous systems can be widely implemented.</summary>
    <dc:date>2025-10-20T00:00:00Z</dc:date>
  </entry>
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