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엄창민(Chang Min Um),이기영(Ki Young Lee),이득우(Deuk Woo Lee) 한국IT마케팅학회 2015 한국IT마케팅학회 논문집 Vol.1 No.1
The system is implementation of a system that can manage the inventory required while operating efficiently to store large amounts of big data. Big data mining to gather the data necessary for inventory management through data mining. The goal is to effectively implement the system for managing the store inventory using data mining. Creating an order through the system and to minimize the development of excess or deficiency of the stock addition to the user is determined to provide a basis for maximizing the benefit of the store.
엄창민(Chang-Min Eom),신동호(Dong-Ho Sin),김수정(Su-Jeong Kim),손창환(Chang-Hwan Son),정동원(Dong-Won Jeong) 한국정보기술학회 2018 Proceedings of KIIT Conference Vol.2018 No.6
이 논문은 라즈베리 파이와 지문인식 기반의 출퇴근 기록 시스템을 제안한다. 일반적으로 사용하는 전자태그를 이용한 출퇴근 시스템은 RFID 칩의 분실 위험 및 다른 사용자가 대리 출퇴근 등록을 하는 등의 단점을 지닌다. 이러한 문제점을 해결하기 위해 최근 지문인식을 이용한 시스템에 대한 많은 연구가 진행되어 왔다. 그러나 기존 연구는 높은 비용, 낮은 확장성 등의 문제점을 지닌다. 따라서 이 논문에서는 높은 확장성과 낮은 비용으로 구축이 가능한 지문인식 기반 출퇴근 시스템을 제안하며, 목적을 달성하기 위해 라즈베리 파이, 아두이노 및 지문 인식 기술을 사용하여 제안 시스템을 구현한다. This paper proposes a time card system based on Raspberry Pi and fingerprint recognition. The widely used time card systems using electronic tags has several problems such as the loss of time cards and the proxy attendance by other colleagues. Much research on fingerprint recognition-based systems recently has been done to resolve the problems. However, the existing systems have several problems such as high cost and low extensibility. Therefore, this paper proposes a new fingerprint recognition-based time card system with low cost and high extensibility. To achieve the goal of this paper, the proposed system is implemented using Raspberry Pi, Arduino, and fingerprint recognition.
엄창민(Chang Min Um),이기영(Ki Young Lee),이득우(Deuk Woo Lee) 한국IT마케팅학회 2015 한국IT마케팅학회 학술대회 Vol.2015 No.1
The system is implementation of a system that can manage the inventory required while operating efficiently to store large amounts of big data. Big data mining to gather the data necessary for inventory management through data mining. The goal is to effectively implement the system for managing the store inventory using data mining. Creating an order through the system and to minimize the development of excess or deficiency of the stock addition to the user is determined to provide a basis for maximizing the benefit of the store.
온라인 뉴스 데이터를 활용한 AR-KNU 감성사전 기반의 대학 평판도 평가
박상민(Sang-Min Park),엄창민(Chang-Min Eom),온병원(Byung-Won On),정동원(Dongwon Jeong) 한국정보기술학회 2019 한국정보기술학회논문지 Vol.17 No.3
Although there have been various research efforts to evaluate the reputation of universities so far, previous studies are limited because of the inherent limitation, temporal inconsistency, and restricted insight discovery. This paper presents a new sentiment analysis-based university reputation evaluation algorithm that is verified through a comparative study with existing methods. To achieve the goal, a sentiment lexicon is manually constructed in the first step and the proposed method extracts sentiment sentences and clusters in the next steps. Specifically, the proposed method first generates fine-grained clusters through clustering, cluster merging, cluster labelling, and then evaluates the reputation results of universities. Finally, the paper shows the comparison between the existing and proposed methods. The outcome of this research can be used to identify specific university insights and contribute to the development of advanced algorithms with high accuracy for evaluating the reputation of universities. In addition, this study can be used as meaningful basic data to address a wider range of issues including university reputation assessment.