• Title/Summary/Keyword: Bigdata Convergence

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Image analysis method and system for multi-center Medical bigdata research (다기관 의료 빅데이터 연구를 위한 영상 분석 방법 및 시스템)

  • Kim, Seung-Jin;Jeong, Chang-Won;Kim, Tae-Hoon;Jun, Hong Yong;No, Si-Hyeong;Kim, Ji-Eon;Lee, Yun Oh;Yoon, Kwon-Ha
    • Proceedings of the Korea Information Processing Society Conference
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    • 2018.10a
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    • pp.428-429
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    • 2018
  • 본 논문에서는 다기관 의료영상 분석 방법 및 시스템을 제안한다. 다기관 연구에 참여하는 기관에게 분석 가이드 및 분석 프로그램을 제공하여 표준화된 영상분석 연구를 지원하고자 한다. 이를 위해 동일한 프로토콜로 표준화된 영상을 획득 및 분석하고 결과를 공유하는 분산형 연구방법을 제시한다. 제안하는 시스템은 개인정보보호법 및 보안문제가 강조되고 있는 의료현장에 적합한 시스템으로 다양한 다기관 의료 빅데이터 분석 연구에 활용될 것으로 기대된다.

Operational Big Data Analytics platform for Smart Factory (스마트팩토리를 위한 운영빅데이터 분석 플랫폼)

  • Bae, Hyerim;Park, Sanghyuck;Choi, Yulim;Joo, Byeongjun;Sutrisnowati, Riska Asriana;Pulshashi, Iq Reviessay;Putra, Ahmad Dzulfikar Adi;Adi, Taufik Nur;Lee, Sanghwa;Won, Seokrae
    • The Journal of Bigdata
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    • v.1 no.2
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    • pp.9-19
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    • 2016
  • Since ICT convergence became a major issue, German government has carried forward a policy 'Industry 4.0' that triggered ICT convergence with manufacturing. Now this trend gets into our stride. From this facts, we can expect great leap up to quality perfection in low cost. Recently Korean government also enforces policy with 'Manufacturing 3.0' for upgrading Korean manufacturing industry with being accelerated by many related technologies. We, in the paper, developed a custom-made operational big data analysis platform for the implementation of operational intelligence to improve industry capability. Our platform is designed based on spring framework and web. In addition, HDFS and spark architectures helps our system analyze massive data on the field with streamed data processed by process mining algorithm. Extracted knowledge from data will support enhancement of manufacturing performance.

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Analysis of the propensity of medical expenses for auto insurance patients by type of medical institution (의료기관 종류별 자동차보험 환자의 진료비 성향 분석)

  • Ha, Au-Hyun
    • Journal of Convergence for Information Technology
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    • v.12 no.2
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    • pp.184-191
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    • 2022
  • This study aims to provide basic information necessary to find an efficient management plan for patients using auto insurance. The analysis was conducted on the five-year auto insurance medical expenses review data registered in the health care bigdata Hub from 2016 to 2020. As a result of the analysis, the number one composition ratio of auto insurance inpatient treatment expenses was treatment and surgery fees for Certified tertiary hospitals, hospitalization fees for general hospitals, hospitals and clinics, and treatment and surgery fees for oriental medical institutions and dental hospitals. outpatient treatment expenses was doctor's fee for medical institution, treatment and surgery fees for oriental medical institutions and dental hospitals. The ratio of medication, anesthesia, and special equipment significantly affected the cost of inpatient. And the ratio of physical therapy significantly affected the cost of outpatient.

A study on how to advance the student management system for innovative university education (혁신적 대학교육을 위한 학생관리시스템 고도화 방안 연구)

  • Minsu Kim;Hyun-Ku Min
    • Convergence Security Journal
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    • v.22 no.5
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    • pp.89-94
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    • 2022
  • Efforts to improve the quality of university education, that is, advanced plans for innovative university education, are needed in the face of changes in educational demand due to rapid changes in new industries and society and the competition for survival due to a rapidly decreasing school-age population with the full-fledged start of the era of the 4th industrial revolution is being demanded. In particular, it is necessary to apply a system for student counseling and guidance management through college life adjustment diagnosis from students entering college to graduation. Accordingly, each university is promoting a project to upgrade a course-linked integrated platform based on core technologies of the 4th industrial revolution era, such as big data and artificial intelligence (AI). Therefore, in this study, based on the field of information security major, we intend to present a plan to advance the student management system for innovative university education.

A Conceptual Architecture and its Experimental Validation of CCTV-Video Object Activitization for Tangible Assets of Experts' Visual Knowledge in Smart Factories (고숙련자 공장작업지식 자산화를 위한 CCTV-동영상 객체능동화의 개념적 아키텍처와 실험적 검증)

  • Eun-Bi Cho;Dinh-Lam Pham;Kyung-Hee Sun;Kwanghoon Pio Kim
    • Journal of Internet Computing and Services
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    • v.25 no.2
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    • pp.101-111
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    • 2024
  • In this paper, we propose a concpetual architecture and its implementation approach for contextualizing unstructured CCTV-video frame data into structured XML-video textual data by using the deep-learning neural network models and frameworks. Conclusively, through the conceptual architecture and the implementation approach proposed in this paper, we can eventually realize and implement the so-called sharable working and experiencing knowledge management platforms to be adopted to smart factories in various industries.

Design of Evaluation Index System for Information Experience based on B2C e-Commerce Bigdata and Artificial Intelligence

  • KANG, Jangmook;HU, Haibo;CHEN, Yinghui;LEE, Sangwon
    • International journal of advanced smart convergence
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    • v.8 no.4
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    • pp.1-8
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    • 2019
  • The online retail market continues to grow, especially in China, as e-commerce has developed rapidly in recent years in many countries. Meanwhile, the development and use of new network information technology provides consumers with various contact and experience environments for online shopping. Based on the theory of media weakness, the study began to focus consumer experience on the nature of commercial transactions. The study proposed and designed an initial measure of the consumer information evaluation index, which combines previous findings with implications. Finally, the five-dimensional B2C system was established to evaluate consumers' information experience providing information display, information interaction, information support and information personalization. We researched on evaluation index system for information experience of B2C e-commerce consumers based on samples of Chinese consumers.

The Current Status Analysis for Construction CALS Big-data Service (건설사업정보 빅데이터 서비스 개발을 위한 현황 분석)

  • Kim, Jin-Uk;Kim, Young-Jin
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2018.07a
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    • pp.501-502
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    • 2018
  • 본 논문은 건설CALS시스템에 20년간 축적된 데이터를 활용하기 위해서 2018년부터 2020년까지 개발 예정인 과적단속 최적 위치 시기 예측 서비스, 비탈면 붕괴 위험도예측서비스, 도로점용(연결) 허가 가능구간 예측 서비스, 보상비 예측 서비스 등 4종의 건설CALS 빅데이터 서비스 기술 개발을 위한 현황분석을 기술하였다. 개발된 서비스는 2020년에 국토교통부 소속기관인 지방국토관리청과 국토관리사무소의 업무담당자 및 국민에게 시범 적용하여 빅데이터 서비스의 효과를 검증하고, 단계적으로 국토교통부 도로관리 업무에 적용할 계획이다.

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Performance Optimization of Big Data Center Processing System - Big Data Analysis Algorithm Based on Location Awareness

  • Zhao, Wen-Xuan;Min, Byung-Won
    • International Journal of Contents
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    • v.17 no.3
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    • pp.74-83
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    • 2021
  • A location-aware algorithm is proposed in this study to optimize the system performance of distributed systems for processing big data with low data reliability and application performance. Compared with previous algorithms, the location-aware data block placement algorithm uses data block placement and node data recovery strategies to improve data application performance and reliability. Simulation and actual cluster tests showed that the location-aware placement algorithm proposed in this study could greatly improve data reliability and shorten the application processing time of I/O interfaces in real-time.

Development of an engine for recommending the location of waste mask collection boxes in Yongin, Gyeonggi-do (경기도 용인시 폐마스크 수거함 위치 추천 엔진 개발)

  • Sung Jin Kim;Yeon Seok Ha
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2023.01a
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    • pp.147-150
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    • 2023
  • 본 논문에서는 코로나 19 확산에 따른 마스크 생산량 급증에 따라 폐마스크 수거함을 배치하는 경기도 용인시에 데이터를 기반으로 한 수거함 위치 추천을 목표하는 프로젝트를 소개한다. 해당 프로젝트는 전국 표준노드 링크와 건축물 용도 API를 활용했으며 데이터 전처리와 메모이제이션 기법 등으로 적절한 시간 안에 결과가 도출되도록 위치 추천 엔진을 개발했다. 개발 완료된 엔진으로부터 도출된 결과를 바탕으로 폐마스크 수거함을 배치한다면 보다 효과적인 결과로 이어질 것으로 기대된다.

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An Analysis of Food Availability in Korea Based on Agirculture (농업중심의 한국 식량 가용성 분석)

  • Sung Jin Kim;Nak Jun Choi
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2023.01a
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    • pp.151-152
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    • 2023
  • 모든 국민이 언제든지 충분한 식량을 충족할 수 있는 상태를 나타내는 식량안보에는 식량의 가용성, 식량의 활용성, 식량의 안전성, 식량의 접근성 네 가지 측정 요소가 있다. 식량의 가용성이란 국내 생산과 수입량 등을 고려한 공급량의 확충 여부를 말한다. 본 연구에서는 한국 농업을 중심으로 농업인구, 경작지, 수입량, 수입 공급망 등 식량의 가용성을 대상으로 통계적 분석을 진행하고 시사점을 도출한다.

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