• Title/Summary/Keyword: Data Management Platform

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A Study of Platform-Based ERP+ System Design (플랫폼기반 ERP+ 시스템 설계에 관한 연구)

  • Cheng, Zhi-Chao;Jin, Chang-Hai;Kwon, Young-Jik
    • Journal of Information Technology Applications and Management
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    • v.22 no.4
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    • pp.95-103
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    • 2015
  • In this paper, we designed a platform-based $ERP^+$ system, which integrates ERP system and SCM system. With platform-based technology we can connect online and offline platforms, enterprise management systems, and government systems. In our research, first we examined the problems of the existing ERP systems, and second we discussed all basic tasks of our $ERP^+$ system. We also designed several modules for this platform-based system and system network. Our results showed that a platform-based $ERP^+$ system can effectively manage the information and the human/material resources, by using O2O (online to offline) technic. Even different systems can be integrated effectively. It can reduce the costs of enterprise management activities, enhance the enterprise competitiveness.

A Study on Organization of Service Function on the Integrated Management Platform of the u-City (u-City 통합운영플랫폼의 서비스 기능 구성에 관한 연구)

  • Kang, Joon-Mook;Baik, Song-Hoon;Kim, Nam-Gyu;Park, Joon-Kyu
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.27 no.4
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    • pp.477-484
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    • 2009
  • An Integrated Management Platform, which plays a core role in managing u-City, intelligently control various infra-structure components by accommodating a large number of sensors and devices; and analyzing data received from these sensors and devices through wired/wireless sensor networks. In this paper, the services provided by the integrated management platform for u-City are classified into common application service, operational management service, and platform gateway service, and furthermore detailed functions for each service are defined. These functions, through their roles and information flows, will clarify the requirements of the integrated management platform, and through their addition and modification will be utilized as a reference model for the functional organization of the integrated management platform.

Building a Big Data Platform Using Real-time Wearable Devices and Cases of Safety Accidents in KOREA

  • LEE, Ki Seok;CHOI, Youngjin;LEE, Kyung-cheun;SHIN, Yoonseok;YOO, Wi Sung
    • International conference on construction engineering and project management
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    • 2022.06a
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    • pp.375-381
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    • 2022
  • Safety accidents are of concern during construction projects, even given the recent innovations in digital technologies. These projects remain focused on overcoming specific and limited applications on construction sites. For this reason, the development of an inclusive safety management system has become crucial. This study aims to build a Big Data platform to inform decisions on how to proactively eliminate worker hazards on construction sites. The platform consists of about 100,000 real records and a real-time monitored database featuring various safety indices, such as workers' altitudes, heart rates, and fatigability during construction, which are determined through various wearable devices. The data types are customized and integrated by a research team in accordance with the characteristics of a specific project using hypertext transfer protocol (HTTP). The results can be helpful as efficient tools to ensure successful safety management in complex construction situations. This study is expected to provide three significant contributions to the field, including real-time fatigability analysis and tracking of workers on-site; providing early GPS-based warnings to workers who might be accessing dangerous spaces or places; and monitoring the workers' health indices, based on details from 100,000 cases.

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Design and Implementation of A Dynamic API Platform for Interworking Across Heterogeneous Platforms (이기종 플랫폼간 상호연동을 위한 동적 API 플랫폼의 설계 및 구현)

  • Ryu, Minwoo;Cha, Si-Ho
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.17 no.2
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    • pp.29-35
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    • 2021
  • Recently, with the widespread use of the Internet of Things (IoT), the service structure has been studied to interact with various service domains. A common way to interact with other service domains is to develop the APIs needed to interact on the platform. However, to use a common method, we consider many costs and resources as APIs can increase while adding connections from other service domains. To address this issue, we propose the design and implementation of a dynamic API platform. The proposed platform can dynamically create APIs when requesting service applications, depending on the target service domain. To demonstrate the feasibility of the proposed platform, we develop a COVID-19 weekly infection status, regional infection status, and vaccination status service using dynamic APIs from the Public Data Portal using the proposed dynamic API platform and Node-RED.

Data-centric Smart Street Light Monitoring and Visualization Platform for Campus Management

  • Somrudee Deepaisarn;Paphana Yiwsiw;Chanon Tantiwattanapaibul;Suphachok Buaruk;Virach Sornlertlamvanich
    • Journal of information and communication convergence engineering
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    • v.21 no.3
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    • pp.216-224
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    • 2023
  • Smart lighting systems have become increasingly popular in several public sectors because of trends toward urbanization and intelligent technologies. In this study, we designed and implemented a web application platform to explore and monitor data acquired from lighting devices at Thammasat University (Rangsit Campus, Thailand). The platform provides a convenient interface for administrative and operative staff to monitor, control, and collect data from sensors installed on campus in real time for creating geographically specific big data. Platform development focuses on both back- and front-end applications to allow a seamless process for recording and displaying data from interconnected devices. Responsible persons can interact with devices and acquire data effortlessly, minimizing workforce and human error. The collected data were analyzed using an exploratory data analysis process. Missing data behavior caused by system outages was also investigated.

Blockchain based Learning Management Platform for Efficient Learning Authority Management

  • Youn-A Min
    • International Journal of Internet, Broadcasting and Communication
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    • v.15 no.3
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    • pp.231-238
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    • 2023
  • As the demand for distance education increases, interest in the management of learners' rights is increasing. Blockchain technology is a technology that guarantees the integrity of the learner's learning history, and enables learner-led learning control, data security, and sharing of learning resources. In this paper, we proposed a blockchain technology-based learning management system based on Hyperledger Fabric that can be verified through permission between nodes among blockchain platforms. Learning resources can be shared differentially according to the learning progress. Also the percentage of individual learners that can be managed. As a result of the study, the superiority of the platform in terms of convenience compared to the existing platform was demonstrated. As a result of the performance evaluation for the research in this paper, it was confirmed that the convenience was improved by more than 5%, and the performance was 4-5% superior to the existing platform in terms of learner satisfaction.

Development of Big-data Management Platform Considering Docker Based Real Time Data Connecting and Processing Environments (도커 기반의 실시간 데이터 연계 및 처리 환경을 고려한 빅데이터 관리 플랫폼 개발)

  • Kim, Dong Gil;Park, Yong-Soon;Chung, Tae-Yun
    • IEMEK Journal of Embedded Systems and Applications
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    • v.16 no.4
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    • pp.153-161
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    • 2021
  • Real-time access is required to handle continuous and unstructured data and should be flexible in management under dynamic state. Platform can be built to allow data collection, storage, and processing from local-server or multi-server. Although the former centralize method is easy to control, it creates an overload problem because it proceeds all the processing in one unit, and the latter distributed method performs parallel processing, so it is fast to respond and can easily scale system capacity, but the design is complex. This paper provides data collection and processing on one platform to derive significant insights from various data held by an enterprise or agency in the latter manner, which is intuitively available on dashboards and utilizes Spark to improve distributed processing performance. All service utilize dockers to distribute and management. The data used in this study was 100% collected from Kafka, showing that when the file size is 4.4 gigabytes, the data processing speed in spark cluster mode is 2 minute 15 seconds, about 3 minutes 19 seconds faster than the local mode.

A Study on Metadata Interoperability between the National Research Data Platform and the Bio Research Data Platform (국가 연구데이터플랫폼과 바이오 연구데이터플랫폼의 메타데이터 상호운용성에 관한 연구)

  • Park, Seong-Eun;Ko, Young Man
    • Journal of the Korean Society for information Management
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    • v.39 no.2
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    • pp.159-202
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    • 2022
  • The 'National Research Data Platform' and the 'Bio Research Data Platform' were recently built and each is actively creating an ecosystem. It is built independently based on other metadata standards, which may cause future interoperability issues. The purpose of this study is to propose a basis for metadata interoperability between the two platforms. To this end, the metadata standards of each platform were analyzed, crosswork targets were selected and mapped, and the suitability of the mapped elements was verified through experts in the bio field. And more appropriate mapping elements were recommended to derive metadata elements for datasets and files. Through this, it was possible to confirm the possibility that the metadata of each platform could be semantically linked and the basis for securing interoperability.

Computer Vision Platform Design with MEAN Stack Basis (MEAN Stack 기반의 컴퓨터 비전 플랫폼 설계)

  • Hong, Seonhack;Cho, Kyungsoon;Yun, Jinseob
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.11 no.3
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    • pp.1-9
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    • 2015
  • In this paper, we implemented the computer vision platform design with MEAN Stack through Raspberry PI 2 model which is an open source platform. we experimented the face recognition, temperature and humidity sensor data logging with WiFi communication under Raspberry Pi 2 model. Especially we directly made the shape of platform with 3D printing design. In this paper, we used the face recognition algorithm with OpenCV software through haarcascade feature extraction machine learning algorithm, and extended the functionality of wireless communication function ability with Bluetooth technology for the purpose of making Android Mobile devices interface. And therefore we implemented the functions of the vision platform for identifying the face recognition characteristics of scanning with PI camera with gathering the temperature and humidity sensor data under IoT environment. and made the vision platform with 3D printing technology. Especially we used MongoDB for developing the performance of vision platform because the MongoDB is more akin to working with objects in a programming language than what we know of as a database. Afterwards, we would enhance the performance of vision platform for clouding functionalities.

A study on IoT platform for private electrical facilities management (수용가 전력설비 관리를 위한 사물인터넷 플랫폼 연구)

  • Jang, Kyung-Bae
    • Journal of Internet of Things and Convergence
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    • v.5 no.2
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    • pp.103-110
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    • 2019
  • In this paper, we suggested how the Internet of Things (IoT) technology could be applied to an internet platform that is used for managing the customer's power grid efficiently. For an internet platform with efficient management, analysis is done by several sections; communication method, and its protocol, and also security element. From this analysis, with currently used sensors, we have presented a development method for the sensor to server data reliable communication solution and data management server with a security solution. Moreover, this paper suggests a communication module that could be used for a power grid management platform, protocol and security algorithm and also a way to build a server for managing those systems and modules.