• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.10a
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• pp.513-516
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• 2013

In this paper, we present an information collecting system in medical information management domain. Our proposed system performs a systemized process, consisting of collection, transmission, and management, to develop intelligent medical information system and medical big data processing system. Our information collecting system consists of low-power biomedical sensors, biomedical information collecting devices, and storage systems. Currently, almost biomedical information of patients is collected manually by employees like nurses and medical doctors. Therefore, collected biometric data can be error-pronoun data. Since there is a lack to make big data of medical information, it is difficult to enhance the quality of medical services and researches. Accordingly, through our proposed system, we can overcome the problems like error-pronoun biometric data. In addition, we can extremely extend the area of collectable biometric data. Furthermore, using this system, we are able to make a real-time biomedical analysis system, like a real-time patient diagnosis system, and establish a strategy to against future medical markets changing rapidly.

• Smart Media Journal
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• v.9 no.2
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• pp.99-109
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• 2020

This paper proposes a platform construction plan for the use of spectrum big data, collects and analyzes the big data in the radio wave field, establishes a linkage plan, and presents a support system scheme for linking and using the spectrum and public sector big data. It presented a plan to build a big data platform in connection with the spectrum public sector. In a situation where there is a lack of a support system for systematic analysis and utilization of big data in the field of radio waves, by establishing a platform construction plan for the use of big data by radio-related industries, the preemptive response to realize the 4th Industrial Revolution and the status and state of the domestic radio field. The company intends to contribute to enhancing the convenience of users of the big data platform in the public sector by securing the innovation growth engine of the company and contributing to the fair competition of the radio wave industry and the improvement of service quality. In addition, it intends to contribute to raising the social awareness of the value of spectrum management data utilization and establishing a collaboration system that uses spectrum big data through joint use of the platform.

• Journal of Convergence Society for SMB
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• v.6 no.1
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• pp.17-23
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• 2016

Recently, Internet services via various devices including smartphone have become available. Because of the development of ICT, numerous hacking incidents have occurred and most of those attacks turned out to be APT attacks. APT attack means an attack method by which a hacker continues to collect information to achieve his goal, and analyzes the weakness of the target and infects it with malicious code, and being hidden, leaks the data in time. In this paper, we examine the information collection method the APT attackers use to invade the target system in a short time using big data, and we suggest and evaluate the countermeasure to protect against the attack method using big data.

• Proceedings of the Korean Society of Computer Information Conference
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• 2021.07a
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• pp.337-338
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• 2021

본 논문에서는 스마트 콘택트 렌즈를 이용한 건강 관리 어플리케이션을 제안한다. 기존에 연구되고 있던 스마트 콘택트 렌즈에 있는 센서들을 통해서 렌즈 사용자의 생체 데이터를 수집하고 수집한 데이터를 수치화 하여 당뇨병, 녹내장, 간략한 스트레스 지수 까지 시각화 하여 보다 편하게 자가 진단하고 예방하는데 그 목적이 있다. 렌즈의 구성으로는 생체 데이터를 수집하는 센서는 포도당 농도 측정 센서, 안압 측정 센서, 코르티솔 호르몬 측정 센서가 있고, 어플과 연동하기 위한 통신 센서가 포함 된다. 이후 수집된 데이터를 수치화 한 후 어플 화면에 시각화하여 사용자가 각 항목을 확인하는데 있어서 편리 할 수 있다. 많은 사용자들의 데이터가 모이면 이를 빅데이터로 구성한 뒤 건강관련 부서와 연동하여 기존에 의사들이 더 정확한 진단을 할 수 있도록 지원한다. 또한 사용자들은 어플을 사용하면서 예방하는데 큰 목적을 둔다.

• KIPS Transactions on Software and Data Engineering
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• v.9 no.8
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• pp.235-242
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• 2020

In order to promote digital transformation of our agricultural and rural communities in the wake of the fourth industrial revolution and prepare for the upcoming artificial intelligence era, it is necessary to establish a system and system that can collect, analyze and utilize necessary quality data. To this end, we will investigate and analyze problems and issues felt by various stakeholders such as farmers and agricultural officials, and present strategic measures to revitalize big data, which must be decided in order to promote digital transformation of our agricultural and rural communities, such as expanding big data platforms for joint utilization, establishing sustainable big data governance, and revitalizing the foundation for big data utilization based on demand.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.3
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• pp.579-586
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• 2021

This study examines the application of big data and tasks of tourism based on the case of Jeju Special Self-Governing Province, which used big data for regional tourism policy. Through the use of big data, it is possible to understand rapidly changing tourism trends and trends in the tourism industry in a timely and detailed manner. and also could be used to elaborate existing tourism statistics. In addition, beyond the level of big data analysis to understand tourism phenomena, its scope has expanded to provide a platform for providing real-time customized services. This was made possible by the cooperative governance of industry, government, and academia for data building, analysis, infrastructure, and utilization. As a task, the limitation of budget dependence and institutional problems such as the infrastructure for building personal-level data for personalized services, which are the ultimate goal of smart tourism, and the Personal Information Protection Act remain. In addition, expertise and technical limitations for data analysis and data linkage remain.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.05a
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• pp.143-144
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• 2016

빅 데이터 분석은 기존 데이터베이스 관리 도구로부터 데이터를 수집, 저장, 관리, 분석할 수 있는 역량을 말한다. 또한, 대량의 정형 또는 비정형 데이터 집합으로부터 가치를 추출하고 결과를 분석하는 기술을 의미한다. 대부분의 빅 데이터 분석 기술 방법들은 기존 통계학과 전산학에서 사용되던 데이터 마이닝, 기계 학습, 자연 언어 처리, 패턴 인식 등이 해당된다. 글로벌 리서치 기관들은 빅 데이터를 2011년 이래로 최근 가장 주목받는 신기술로 지목해오고 있다. 따라서 대부분의 산업에서 기업들은 빅 데이터의 적용을 통해 가치 창출을 위한 노력을 기하고 있다. 본 연구에서는 다음 커뮤니케이션의 빅 데이터 분석도구인 소셜 매트릭스를 활용하여 키워드 분석을 통해 창조경제 키워드 의미를 분석하고자 한다. 또한, 분석결과를 바탕으로 이론적 실무적 시사점을 제시하고자 한다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.3
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• pp.669-678
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• 2018

This study developed information technology infrastructures for building a driving environment analysis platform using various big data, such as vehicle sensing data, public data, etc. First, a small platform server with a parallel structure for big data distribution processing was developed with H/W technology. Next, programs for big data collection/storage, processing/analysis, and information visualization were developed with S/W technology. The collection S/W was developed as a collection interface using Kafka, Flume, and Sqoop. The storage S/W was developed to be divided into a Hadoop distributed file system and Cassandra DB according to the utilization of data. Processing S/W was developed for spatial unit matching and time interval interpolation/aggregation of the collected data by applying the grid index method. An analysis S/W was developed as an analytical tool based on the Zeppelin notebook for the application and evaluation of a development algorithm. Finally, Information Visualization S/W was developed as a Web GIS engine program for providing various driving environment information and visualization. As a result of the performance evaluation, the number of executors, the optimal memory capacity, and number of cores for the development server were derived, and the computation performance was superior to that of the other cloud computing.

• Electronics and Telecommunications Trends
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• v.30 no.4
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• pp.1-11
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• 2015

Quantified Self란 개인의 일상활동에서 신체적 정신적 상태를 센싱 및 트래킹하여 이를 수치화함으로써 자신의 상태를 분석하고 삶의 질을 개선하기 위한 방법을 연구하여 실생활에 적용하는 활동을 의미한다. 이는 최근 헬스와 피트니스에 활용 가능한 개인 센서 및 웨어러블 기기의 급속한 보급과 다양한 개인 정보 트래킹 기기의 출현으로 개인의 일상경험을 모니터링하고, 생성되는 정보를 수집, 통합 분석을 통해 새로운 개인화 서비스를 제공하기 위한 기술개발 이슈로 주목받고 있다. Quantified Self 데이터는 초기의 수작업으로 트래킹하여 수집한 소량의 관리 가능한 데이터 세트에서 점차 대용량의 Quantified Self 빅데이터 세트로 크기가 증가하고 있으며, 개인정보의 통합분석을 위한 빅데이터 모델과 자동적인 셀프-트래킹 플랫폼으로서의 웨어러블 컴퓨터 기술과 응용의 기대치를 증가시키고 있다. 본고에서는 Quantified Self 정의와 기술 및 서비스 동향에 대해 살펴보고, 웨어러블 센싱 기반 트래킹 기기의 개발사례와 Quantified Self의 주요이슈와 미래전망에 대해 조망해 본다.

• Journal of Digital Convergence
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• v.19 no.5
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• pp.105-115
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• 2021

Many services are provided through big data analysis in various fields such as individuals, private sectors, and governments. There is a growing interest in training data scientists to provide these services. Particularly, interest in big data-based marketing curriculum is high. This study analyzed the domestic and foreign university big data-based marketing-related curriculum to utilize vast and diverse types of information from a marketing perspective in the era of big data. As a result of the analysis of 3,523 subjects related to digital marketing, big data marketing, data analysis, and developers collected according to the analysis criteria, it was analyzed that the specialized curriculum for training data scientists required in the era of the fourth industrial revolution was not appropriate. It is expected that the proposed curriculum in this study will be useful for the development of digital marketing and big data-based marketing curriculum.