• Title/Summary/Keyword: dashboard

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Design and Implementation of Dashboard Author and Viewer for IoT Systems based on MQTT (MQTT 기반 IoT 시스템을 위한 대시보드 저작 및 뷰어의 설계 및 구현)

  • Hwang, Kitae
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.18 no.5
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    • pp.31-37
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    • 2018
  • When an IoT system is constructed, a dashboard is also developed to monitor the values of sensors in the IoT System. Much time and money, however, are spent in developing the dashboard software. This paper presents design and implementation details of a dashboard maker called as YellowPeach, which helps to create a dashboard easily and fast without programming. Using YellowPeach, the user can author a dashboard by putting predefined charts to display values of sensors in it, and store the dashboard as a JSON file. Also an web application has been developed to run the dashboard on the web browser. The dashboard viewer web application connects on MQTT-based IoT system, receives values from the sensors, and displays the values on charts in real-time.

Interaction of Learning Motivation with Dashboard Intervention and Its Effect on Learning Achievement

  • Kim, Jeonghyun;Park, Yeonjeong;Huh, Dami;Jo, Il-Hyun
    • Educational Technology International
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    • v.18 no.2
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    • pp.73-99
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    • 2017
  • The learning analytics dashboard (LAD) is a supporting tool for teaching and learning in its personalized, automatic, and visual aspects. While several studies have focused on the effect of using dashboard on learning achievement, there is a research gap concerning the impacts of learners' characteristics on it. Accordingly, this study attempted to verify the differences in learning achievement depending on learning motivation level (high vs. low) and dashboard intervention (use vs. non-use). The final participants were 231 university students enrolled in a basic statistics course. As a research design, a 2 × 2 factorial design was employed. The results showed that learning achievement varied with dashboard intervention and the interaction effect was significant between learning motivation and dashboard intervention. The results imply that the impact of LAD may vary depending on learner characteristics. Consequently, this study suggests that the dashboard interventions should be offered after careful consideration of individual students' differences, particularly their learning motivation.

Applying and Evaluating Visualization Design Guidelines for a MOOC Dashboard to Facilitate Self-Regulated Learning Based on Learning Analytics

  • Cha, Hyun-Jin;Park, Taejung
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.13 no.6
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    • pp.2799-2823
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    • 2019
  • With the help of learning analytics, MOOCs have wider potential to succeed in learning through promoting self-regulated learning (SRL). The current study aims to apply and validate visualization design guidelines for a MOOC dashboard to enhance such SRL capabilities based on learning analytics. To achieve the research objective, a MOOC dashboard prototype, LM-Dashboard, was designed and developed, reflecting the visualization design guidelines to promote SRL. Then, both expert and learner participants evaluated LM-Dashboard through iterations to validate the visualization design guidelines and perceived SRL effectiveness. The results of expert and learner evaluations indicated that most of the visualization design guidelines on LM-Dashboard were valid and some perceived SRL aspects such as monitoring a student's learning progress and assessing their achievements with time management were beneficial. However, some features on LM-Dashboard should be improved to enhance SRL aspects related to achieving their learning goals with persistence. The findings suggest that it is necessary to offer appropriate feedback or tips as well as to visualize learner behaviors and activities in an intuitive and efficient way for the successful cycle of SRL. Consequently, this study contributes to establishing a basis for the visual design of a MOOC dashboard for optimizing each learner's SRL.

A Study on the Utilization of Business Intelligence and Dashboard in Academic Libraries (대학도서관에서 업무지능과 대시보드의 활용방안에 관한 연구)

  • Gu, Jung-Eok
    • Journal of the Korean Society for information Management
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    • v.28 no.1
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    • pp.263-283
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    • 2011
  • Business Intelligence(BI) is being used by the individuals who make decisions for management. Dashboard supports business intelligence by visualizing data, information, and knowledge so that they can be grasped at a glance. In this study, applications of dashboard were analyzed in the ARL libraries websites. Furthermore, the study suggested methods to establish and use the information system of the business intelligence and dashboard on the academic library websites in Korea. The findings of this study are expected to serve as the basic data to utilize the business intelligence and dashboard as a tool with which Korean academic libraries can demonstrate their value to the stakeholders in the academic community.

Delft-3D Simulation using Open Boundary Condition in Delft Dashboard (Delft Dashboard 개방경계조건을 이용한 Delft-3D 수치모의)

  • Kwon, Kab Keun;Kim, Jin;Kim, Gun Hyeong
    • Proceedings of the Korea Water Resources Association Conference
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    • 2021.06a
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    • pp.210-210
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    • 2021
  • Delft Dashboard는 유동모델을 위한 오픈소스 프로그램으로 로컬 및 글로벌 데이터 세트를 사용하여 다수의 입력 매개변수를 신속하게 생성, 편집하고 모델 내 입력을 시각화하도록 설계된 그래픽 사용자 인터페이스(GUI) 이다. 특히 Delft Dashboard에 제공하는 개방경계조건을 이용하면 격자영역을 인식하여 개방경계를 자동으로 분배 및 지정하고, 각 개방경계 위치에서 분조별 조석조화상수 값도 산출되므로 유동 모델의 편의성을 증대시킬 수 있지만 상황에 따라 적합하게 경계를 분배하여 개방경계로 지정하는 것이 중요하다. 본 연구에서는 Delft Dashboard에서 제공하는 개방경계조건 중 TPXO 8.0을 이용한 Delft-3D 해수유동 수치모의를 수행하여 개방경계조건이 결과에 미치는 영향을 분석하였다. TPXO 8.0의 경우 격자영역에서 개방경계조건을 설정할 때 사용자가 경계조건에 포함될 격자 수를 지정하면 전체 격자경계에서 격자 수에 해당하는 만큼 경계를 나누어 개방경계를 지정하고 각 개방경계 위치에서의 분조별 조석조화상수값을 산출한다. 특히 격자 수에 따라 개방경계로 지정되는 정도에 따른 영향을 분석하기 위하여 인위적으로 경계를 다양하게 분배하여 개방경계를 지정한 후 수치모의에 적용하였다. 수치모의는 동해안 고리원전 인근을 대상으로 격자 생성 후 Delft Dashboard TPXO 8.0을 이용하여 전술된대로 다양한 개방경계조건을 생성하였고 이를 Delft-3D내 적용하여 해수유동 모의를 수행하였다. 각 개방경계 조건별 초기 수면 변위 분석 및 인근 조위관측소의 관측값의 비교를 통해 개방경계조건이 모의결과에 미치는 영향을 분석하였다.

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Exploratory study on the information design of online dashboard for learner-centered learning (학습자중심 대시보드 설계를 위한 탐색적 연구: 학습정보를 중심으로)

  • Lim, KyuYon;Eun, JuHui;Jung, YoonJoo;Park, HaNa
    • The Journal of Korean Association of Computer Education
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    • v.21 no.3
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    • pp.35-50
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    • 2018
  • Online dashboard is designed to support learners' self-regulation of their learning process and activities to promote learner-centered learning. Given the dashboard usually provides information within a limited space, it is important to define which information should be presented in order to meet the various needs of online learners. We analyzed relevant literature, existing dashboards, and learners' dashboard experiences, and identified a list of information that should be provided by the dashboard. As a result, four categories including learning preparation, learning participation, interaction, and learning outcomes, and eleven sub-categories of dashboard information were extracted. The results suggest implications for the design of online dashboard for learner-centered learning.

Security Operation Dashboard Design by Blockade-Detection-Response (봉쇄-탐지-대응 기반 보안관제 대시보드 설계)

  • Han, Choong-Hee
    • Convergence Security Journal
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    • v.21 no.3
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    • pp.39-47
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    • 2021
  • Standardization of the security operation dashboard is essential for efficient operation of security operation center. The security operation dashboard should be configured so that it is widely used by security operation workers who have to live together 24 hours a day, 365 days a year. In addition, it must be able to comprehensively express the business activities of the security operation center. In addition, it should be possible to easily explain the business activities of the security operation center. Therefore, in this paper, we would like to explain the design of a security control dashboard based on blockade, detection, and response that is actually applied to case organizations in the power sector. Through this, it is intended to reduce the effort and time required for configuring a custom dashboard for VIPs, and contribute to the efficient operation of the security operation center.

The Effects of Dashboard Types on Students' Participation and Interaction on Online Group Discussion Activities based on Learning Analysis (온라인 토론활동에 대한 학습분석기반 대시보드 유형이 학습자들의 그룹토론 참여도와 상호작용에 미치는 영향)

  • Yoo, Mina;Jin, Sung-Hee
    • The Journal of the Korea Contents Association
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    • v.20 no.1
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    • pp.117-126
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    • 2020
  • This study was conducted to explore the effect of the type of dashboard on online group discussion activities based on learning analysis. The experimental research was conducted among 51 learners from a university by dividing them into 2 groups. Group A provided participation and interaction dashboard, and group B provided the discussion topics and message type dashboard. First, pre-tests were conducted on attitudes toward computer writing and the level of motivation that could affect online discussion activities. Then the students participated three different topics of online group discussions. The participation and interaction data were automatically collected through the dashboard, and learning outcome data were collected through post-tests. The results showed level of participation in Group B (M=47.56, SD=2.37) that provided discussion topics and message type dashboard was significantly higher than the level of participation in Group A (M=38.13, SD=2.21) that provided participation and interaction dashboard. On the other hand, there were no differences in the level of interaction and learning outcomes. In future studies, we suggest that the dashboard effects based on the learners' characteristics should be carried out because the learners' characteristics may affect the use of the dashboard.

The analysis of data structure to digital forensic of dashboard camera (차량용 블랙박스 포렌식을 위한 분석 절차 및 저장 구조 분석)

  • An, Hwihang;Lee, Sangjin
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.25 no.6
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    • pp.1495-1502
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    • 2015
  • Dashboard camera is important system to store the variable data that not only video but also non-visual information that state of vehicle such as accelerometer, speed, direction. Non-visual information include variable data that can't visualization, so it used important evidence to figure out the situation in accident. It could be missed to non-visual information what can be prove the case in the just digital video forensic procedure. In this paper, We proposal the digital forensic analysis procedure for dashboard camera to all data in dashboard camera extract and analysis data for investigating traffic accident case. And I analyze to some products in with this digital forensic analysis procedure.

Structural Dashboard Design for Monitoring Job Performance of Internet Web Security Diagnosis Team: An Empirical Study of an IT Security Service Provider

  • Lee, Jung-Gyu;Jeong, Seung-Ryul
    • Journal of Internet Computing and Services
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    • v.18 no.5
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    • pp.113-121
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    • 2017
  • Company A's core competency is IT internet security services. The Web diagnosis team analyzes the vulnerability of customer's internet web servers and provides remedy reports. Traditionally, Company A management has utilized a simple table format report for resource planning. But these reports do not notify the timing of human resource commitment. So, upper management asked its team leader to organize a task team and design a visual dashboard for decision making with the help of outside professional. The Task team selected the web security diagnosis practice process as a pilot and designed a dashboard for performance evaluation. A structural design process was implemented during the heuristic working process. Some KPI (key performance indicators) for checking the productivity of internet web security vulnerability reporting are recommended with the calculation logics. This paper will contribute for security service management to plan and address KPI design policy, target process selection, and KPI calculation logics with actual sample data.