• Title/Summary/Keyword: Data Management Platform

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Smart Fire Fighting Appliances Monitoring System using GS1 based on Big Data Analytics Platform (GS1을 활용한 빅데이터 분석 플랫폼 기반의 스마트 소화기구 모니터링 시스템)

  • Park, Heum
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.14 no.4
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    • pp.57-68
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    • 2018
  • This paper presents a smart firefighting appliances monitoring system based on big data analytics platform using GS1 for Smart City. Typical firefighting appliances are fire hydrant, fire extinguisher, fire alarm, sprinkler, fire engine, etc. for the fire of classes A/B/C/D/E. Among them, the dry chemical fire extinguisher have been widely supplied and 6 millions ones were replaced for the aging ones over 10 years in the past year. However, only 5% of them have been collected for recycling of chemical materials included the heavy metals of environment pollution. Therefore, we considered the trace of firefighting appliances from production to disposal for the public open service. In the paper, we suggest 1) a smart firefighting appliances system using GS1, 2) a big data analytics platform and 3) a public open service and visualization with the analyzed information, for fire extinguishers from production to disposal. It can give the information and the visualized diagrams with the analyzed data through the public open service and the free Apps.

Performance Measurement Model for Open Big Data Platform (공공 빅데이터 플랫폼 성과평가 모형)

  • RHEE, Gyuyurb;Park, Sang Cheol;Ryoo, Sung Yul
    • Knowledge Management Research
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    • v.21 no.4
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    • pp.243-263
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    • 2020
  • The purpose of this study is to propose the performance measurement model for open big data platform. In order to develop the performance measurement model, we have integrated big data reference architecture(NIST 2018) with performance prism model(Neely et al. 2001) in the platform perspective of open big data. Our proposed model consists of five key building blocks for measuring performance of open data platform as follows: stakeholder contribution, big data governance capabilities, big data service capabilities, big data IT capabilities, and stakeholder satisfaction. In addition, our proposed model have twenty four evaluation indices and seventy five measurement items. We believe that our model could offer both research and practical implications for relevant research.

Design of Open Gateway Framework for Personalized Healing Data Access (개인화된 힐링 데이터 접근을 위한 개방형 게이트웨이 프레임워크 설계)

  • Jeon, YoungJun;Im, SeokJin;Hwang, HeeJoung
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.15 no.1
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    • pp.229-235
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    • 2015
  • ICT healing platform is based on bio-signal and life habit information target to alarm early sickness concept prevention chronic pain. ICT(Information & Communication Technology) healing platform target on personal lead health management care of several health agencies and open of the (hospital, fitness center, health examination center, personal health device) personal health information together to personal device. Support Analysis Platform and Open API to vitalization optional services. In this paper proposal to access personality healing data Open Gateway Framework of Healing Platform Adaptor (HPAdaptor) ICT healing platform means Data relaying link to EMR(Electronic health record), korean medicine, life log, wellness, chronic pain, and fineness several personal health data provider and service provider personal healing data with software engine. After Design HPAdaptor can use for data and service provider record storage, mobile platform and analytics platform need data service or platform relying reference model.

Development and Implementation of Smart Manufacturing Big-Data Platform Using Opensource for Failure Prognostics and Diagnosis Technology of Industrial Robot (제조로봇 고장예지진단을 위한 오픈소스기반 스마트 제조 빅데이터 플랫폼 구현)

  • Chun, Seung-Man;Suk, Soo-Young
    • IEMEK Journal of Embedded Systems and Applications
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    • v.14 no.4
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    • pp.187-195
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    • 2019
  • In the fourth industrial revolution era, various commercial smart platforms for smart system implementation are being developed and serviced. However, since most of the smart platforms have been developed for general purposes, they are difficult to apply / utilize because they cannot satisfy the requirements of real-time data management, data visualization and data storage of smart factory system. In this paper, we implemented an open source based smart manufacturing big data platform that can manage highly efficient / reliable data integration for the diagnosis diagnostic system of manufacturing robots.

Design of CIM(Common Information Model) Profile for Smart City Energy Monitoring (스마트시티 에너지 감시를 위한 CIM(Common Information Model) 프로파일 설계)

  • Youngil, Kim;Changhun, Chae;Yeri, Kim;Jihoon, Lee
    • KEPCO Journal on Electric Power and Energy
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    • v.8 no.2
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    • pp.127-135
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    • 2022
  • With the advent of high technologies such as the 4th Industrial Revolution and artificial intelligence and big data, efforts are being made to solve urban problems and improve the quality of life by applying new technologies in the smart city field. In addition, as carbon neutrality has emerged as an important issue due to global warming, smart city energy platform technologies such as urban energy management, efficiency improvement, and carbon reduction are in the spotlight. In order to effectively manage urban energy, energy resource information such as electricity, water, gas, hot water, heating, etc. must be collected from the management system of various energy utilities and managed on the central platform. The centrally integrated data is delivered to external city management systems that require city energy information through an energy platform. This study developed a CIM profile for smart city energy monitoring required to provide energy data to external systems. Electric data model were designed using the CIM class of IEC 61970, and water, gas, and heat data model were designed in compliance with the UML-based design ideas of IEC 61970.

Developing Formal Framework for Cross-Platform Based Mobile Game Process (크로스 플랫폼 기반의 모바일게임 개발을 위한 정형 프레임워크 개발)

  • Choi Jaejun
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.19 no.4
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    • pp.147-154
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    • 2023
  • With the recent popularity of smartphones, many games are being developed on mobile-based platforms. As a result, it has brought about many changes in the way mobile game is developed. Especially mobile platforms, which are divided into Android and IOS, can now be applied to each platform without additional development through cross-platform. This means that it is necessary to move away from the method of developing each using separate development tools and implement the development process through cross-platform unique features. In this paper, we studied various methods to increase the productivity and quality of game development for the development of mobile games, and a formal framework considering the development process was developed. The framework consists of process, development domain, and platform support parts, each playing its own role. Items of the detailed framework must be reflected so that detailed response data for efficient application of game development can be established in actual mobile game development. The framework was developed by approaching it from two domains, the need for a framework and the framework implementation of key item response data.

Effect of Perceived Value of OTT Platform on Consumer's Technology Acceptance, Continuous Use Intention, and WOM

  • Byoung-Jo HWANG;Hee-Young CHO
    • The Journal of Economics, Marketing and Management
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    • v.11 no.5
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    • pp.29-44
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    • 2023
  • Purpose: This study analyzed the effect of the perceived value of the OTT platform on consumers' technology acceptance, continuous use intention, and WOM using the Expanded TAM. Research design, data and methodology: A survey was conducted targeting OTT platform users in their 20s to 40s nationwide from August 10 to 16, 2022, and a total of 208 people were used in the final analysis. To verify the research model, frequency analysis, CFA, and SEM analysis were performed using SPSS and AMOS. Results: First, the perceived value of the OTT platform was found to have a positive effect on consumers' technology acceptance (perceived usefulness, perceived ease of use, and perceived enjoyment). Second, the perceived ease of use of OTT platform consumers was found to have a positive effect on perceived usefulness and perceived enjoyment. Third, it was found that the perceived usefulness and perceived enjoyment of OTT platform consumers had a positive effect on the continuous use intention, and WOM. Fourth, it was found that the continuous use intention the OTT platform had a positive effect on the WOM. Conclusions: Word of mouth and continuous use of existing customers are important for OTT platform companies to retain existing customers and secure new customers. Through the perceived value of the OTT platform, efforts should be made to provide various contents that consumers can enjoy along with usefulness and convenience of functions.

Challenges and Opportunities of Big Data

  • Khalil, Md Ibrahim;Kim, R. Young Chul;Seo, ChaeYun
    • Journal of Platform Technology
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    • v.8 no.2
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    • pp.3-9
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    • 2020
  • Big Data is a new concept in the global and local area. This field has gained tremendous momentum in the recent years and has attracted attention of several researchers. Big Data is a data analysis methodology enabled by recent advances in information and communications technology. However, big data analysis requires a huge amount of computing resources making adoption costs of big data technology. Therefore, it is not affordable for many small and medium enterprises. We survey the concepts and characteristics of Big Data along with a number of tools like HADOOP, HPCC for managing Big Data. It also presents an overview of big data like Characteristics of Big data, big data technology, big data management tools etc. We have also highlighted on some challenges and opportunities related to the fields of big data.

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Development of an integrated platform for flood analysis in the smart city (스마트시티 홍수분석 연계플랫폼 개발)

  • Koo, Bonhyun;Oh, Seunguk;Koo, Jaseob;Shim, Kyucheoul
    • Journal of Korea Water Resources Association
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    • v.54 no.1
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    • pp.61-69
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    • 2021
  • In this study, in order to efficiently perform smart city river management, we developed an integrated platform that connects flood analysis models on the web and provides information by converting input and output data into a database. In the integrated platform, a watershed analysis model, a river flow analysis model and an urban runoff analysis model were applied to perform flood analysis in smart city. This platform is able to obtain more reliable results by step-by-step approach to urban runoff that may occur in smart city through the applied model. In addition, since all analysis processes such as data collection, input data generation and result storage are performed on the web, anyone in an environment that can access the web without special equipment or tools can perform analysis and view results. Through this, it is expected that smart city managers can efficiently manage urban runoff and nearby rivers, and can also be used as educational materials for urban outflows.

Design and Implementation of IoT-Based Intelligent Platform for Water Level Monitoring (IoT 기반 지능형 수위 모니터링 플랫폼 설계 및 구현)

  • Park, Jihoon;Kang, Moon Seong;Song, Jung-Hun;Jun, Sang Min
    • Journal of Korean Society of Rural Planning
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    • v.21 no.4
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    • pp.177-186
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    • 2015
  • The main objective of this study was to assess the applicability of IoT (Internet of Things)-based flood management under climate change by developing intelligent water level monitoring platform based on IoT. In this study, Arduino Uno was selected as the development board, which is an open-source electronic platform. Arduino Uno was designed to connect the ultrasonic sensor, temperature sensor, and data logger shield for implementing IoT. Arduino IDE (Integrated Development Environment) was selected as the Arduino software and used to develop the intelligent algorithm to measure and calibrate the real-time water level automatically. The intelligent water level monitoring platform consists of water level measurement, temperature calibration, data calibration, stage-discharge relationship, and data logger algorithms. Water level measurement and temperature calibration algorithm corrected the bias inherent in the ultrasonic sensor. Data calibration algorithm analyzed and corrected the outliers during the measurement process. The verification of the intelligent water level measurement algorithm was performed by comparing water levels using the tape and ultrasonic sensor, which was generated by measuring water levels at regular intervals up to the maximum level. The statistics of the slope of the regression line and $R^2$ were 1.00 and 0.99, respectively which were considered acceptable. The error was 0.0575 cm. The verification of data calibration algorithm was performed by analyzing water levels containing all error codes in a time series graph. The intelligent platform developed in this study may contribute to the public IoT service, which is applicable to intelligent flood management under climate change.