• 정보처리학회논문지:소프트웨어 및 데이터공학
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• 제5권2호
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• pp.79-88
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• 2016

최근 국내 와인 소비문화가 빠르게 성장하면서 와인 사업 창업자들이 증가하는 추세이다. 이에 따라 와인 사업을 준비하는 예비 창업자들을 지원하기 서비스가 필요해지고 있다. 앙트러프러너십은 예비 창업자들이 자금, 인력, 기술 등을 준비하는 단계이다. 본 논문에서는 와인 사업을 준비하는 예비 창업자들을 위한 기술적인 지원사업의 일환으로 와인 추천 어플리케이션을 설계 및 구현한다. 본 논문에서는 바코드 인식 기술을 이용하여 보다 정확한 와인정보를 수집하고 수집된 와인데이터에 와인을 마시는 최적상황을 추출하는 알고리즘을 적용하여 최종적으로 사용자에게 적합한 와인을 추천한다.

• 정보처리학회논문지D
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• 제16D권2호
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• pp.185-190
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• 2009

시간 속성을 갖는 이벤트 집합에서 동일한 이벤트 타입에 대한 이벤트 시퀀스는 하나의 이벤트로 요약될 수 있다. 그러나 정의된 시간 간격이 경과된 후 발생된 이벤트 타입은 하나 이상의 독립된 서브 이벤트 시퀀스로 요약하는 것이 바람직하다. 본 논문은 Allen의 시간 관계 대수에 기반하여 인터벌 이벤트를 요약하고, 요약된 인터벌 이벤트들로부터 인터벌 연관 규칙을 찾아내는 새로운 시간 데이터 마이닝 기법을 제안한다. 제안하는 기법은 독립적인 서브 시퀀스 개념을 도입하고 인터벌 이벤트 사이의 연관 규칙을 탐사함으로써 질적으로 우수한 정보를 제공한다.

• 정보처리학회논문지A
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• 제9A권4호
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• pp.615-620
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• 2002

SCORM은 교육용 컨텐츠를 SCO라는 객체 단위로 공유하고 재사용하기 위한 국제적 표준이다. 그러나 유사 영역에서의 학습 컨텐츠 재사용시 컨텐츠의 일부분을 변경해야 할 경우에도 컨텐츠 원본을 수정해야 하는 문제점을 안고 있다. 따라서 이 논문에서는 이러한 문제점을 해결하기 위해 상속이 가능한 컨텐츠를 개발할 수 있는 I-SCO 모델을 제안한다. I-SCO 모델은 SCORM 기반 컨텐츠의 오버로딩과 오버라이딩을 통한 상속을 지원하여 컨텐츠의 재사용성을 증대시킨다. 실험에서는 제안한 I-SCO 모델을 설계 및 구현하여 ADL에서 배포하는 실행환경에서 실행시켜 봄으로써 컨텐츠의 상속 기능을 확인하고 I-SCO 모델의 타당성을 입증한다.

• 한국지능시스템학회논문지
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• 제17권5호
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• pp.626-631
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• 2007

인간의 계속적인 도움 없이 거칠고 변화하며 구조화되지 않은 환경에서 원하는 작업을 수행하는 자율주행 로봇은 확실하거나 불확실한 주변 환경을 극복하는 능력을 지녀야 한다. 이를 위해서는 센서로부터 얻어진 불확실한 정보를 바탕으로 유용한 결론을 도출하는 알고리즘이 요구된다. 본 논문에서는 지식의 표현 및 처리에 유용한 방법으로 주목을 받고 있는 온톨로지에 기반한 자율주행 로봇의 자율주행 알고리즘을 제안하고 이의 타당성을 컴퓨터 모의실험을 통해 보인다.

• 대한조선학회논문집
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• 제42권5호
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• pp.534-541
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• 2005

Until now, Korean shipyards have accumulated a great amount of data. But they do not have appropriate tools to utilize the data in practical works. Engineering data contains experts' experience and know-how in its own. It is very useful to extract knowledge or information from the accumulated existing data by using data mining technique This paper treats an evolutionary computation based on genetic programming (GP), which can be one of the components to realize data mining. The paper deals with linear models of GP for the regression or approximation problem when given learning samples are not sufficient. The linear model, which is a function of unknown parameters, is built through extracting all possible base functions from the standard GP tree by utilizing the symbolic processing algorithm. In addition to a standard linear model consisting of mathematic functions, one variant form of a linear model, which can be built using low order Taylor series and can be converted into the standard form of a polynomial, is considered in this paper. The suggested model can be utilized as a designing tool to predict design parameters with small accumulated data.

• 한국초등과학교육학회지:초등과학교육
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• 제37권4호
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• pp.352-362
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• 2018

With the advent of the 4th industrial revolution, the educational innovation focusing on the key competencies is occurring in the whole world. In September 2015, the Ministry of Education suggested six key competencies such as self-management competency, knowledge/information processing competency, creative thinking competency, aesthetic sensibility competency, communication competency, and community competency for the 2015 revised national curriculum. Also, this era requires for diverse lessons like subject integrated/converged lesson and intramural/extramural education. Thus, the objective of this study is to research/analyze exhibitions of Busan National Science Museum as extramural educational institute and to relate between the 2015 revised curriculum and exhibitions of science museum. First, the exhibitions of permanent exhibition hall in Busan National Science Museum were researched/analyzed. It analyzed the current status, display type, and explained contents of exhibitions. Second, it analyzed the relations between contents of the exhibition and key competencies in the 2015 revised curriculum. Third, the 2015 revised curriculum for the 3rd and 6th grade related to the selected exhibition contents was analyzed. The analysis on the exhibition contents performed by this study would be helpful for follow-up researches connected to exhibitions of Busan National Science Museum.

• Genomics & Informatics
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• 제17권2호
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• pp.17.1-17.3
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• 2019

Text mining has become an important research method in biology, with its original purpose to extract biological entities, such as genes, proteins and phenotypic traits, to extend knowledge from scientific papers. However, few thorough studies on text mining and application development, for plant molecular biology data, have been performed, especially for rice, resulting in a lack of datasets available to solve named-entity recognition tasks for this species. Since there are rare benchmarks available for rice, we faced various difficulties in exploiting advanced machine learning methods for accurate analysis of the rice literature. To evaluate several approaches to automatically extract information from gene/protein entities, we built a new dataset for rice as a benchmark. This dataset is composed of a set of titles and abstracts, extracted from scientific papers focusing on the rice species, and is downloaded from PubMed. During the 5th Biomedical Linked Annotation Hackathon, a portion of the dataset was uploaded to PubAnnotation for sharing. Our ultimate goal is to offer a shared task of rice gene/protein name recognition through the BioNLP Open Shared Tasks framework using the dataset, to facilitate an open comparison and evaluation of different approaches to the task.

• 정보처리학회논문지:컴퓨터 및 통신 시스템
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• 제8권2호
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• pp.29-34
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• 2019

우선순위 큐은 근본적인 자료 구조 중의 하나이며 오랫동안 많은 연구가 이루어여 왔다. 본 논문에서는 IMI-힙이라고 하는 묵시 양단 우선순위 큐를 제안한다. 제안된 IMI-힙에서는 삽입에 O(1) 전이시간이 걸리고 최소값과 최대값 삭제 연산에 각각 O(logn) 시간이 걸린다. 기존에 발표된 묵시 양단 우선순위 큐는 삽입과 최소/최대값 삭제에 모두 O(logn) 시간이 걸리는 것으로 본 저자는 알고 있다. 따라서 제안된 IMI-힙은 삽입 시간 복잡도에 있어서 기존의 힙보다 우수하다.

• International Journal of Contents
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• 제17권1호
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• pp.1-10
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• 2021

Visual analytics is an emerging research field that combines the strength of electronic data processing and human intuition-based social background knowledge. This study demonstrates useful visual analytics with Tableau in conjunction with semantic network analysis using examples of sentiment flow and strategic communication strategies via Twitter in a blockchain domain. We comparatively investigated the sentiment flow over time and language usage patterns between companies with a good reputation and firms with a poor reputation. In addition, this study explored the relations between reputation and marketing communication strategies. We found that cryptocurrency firms more actively produced information when there was an increased public demand and increased transactions and when the coins' prices were high. Emotional language strategies on social media did not affect cryptocurrencies' reputations. The pattern in semantic representations of keywords was similar between companies with a good reputation and firms with a poor reputation. However, the reputable firms communicated on a wide range of topics and used more culturally focused strategies, and took more advantages of social media marketing by expanding their outreach to other social media networks. The visual big data analytics provides insights into business intelligence that helps informed policies.

• International Journal of Computer Science & Network Security
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• 제21권11호
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• pp.216-222
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• 2021

Advances in technology have given educators a tool to empower them to assist with developing the best possible human resources. Teachers at universities prefer to use more modern technological advances to help them educate their students. This opens up a necessity to research the capabilities of cloud-based learning services so that educational solutions can be found among the available options. Based on that, this essay looks at models and levels of deployment for the e-learning cloud architecture in the education system. A project involving educators explores whether gement Systems (LMS) can function well in a collaborative remote learning environment. The study was performed on how Blackboard was being used by a public institution and included research on cloud computing. This test examined how Blackboard Learn performs as a teaching tool and featured 60 participants. It is evident from the completed research that computers are beneficial to student education, especially in improving how schools administer lessons. Convenient tools for processing educational content are included as well as effective organizational strategies for educational processes and better ways to monitor and manage knowledge. In addition, this project's conclusions help highlight the advantages of rolling out cloud-based e-learning in higher educational institutions, which are responsible for creating the integrated educational product. The study showed that a shift to cloud computing can bring progress to educational material and substantial improvement to student academic outcomes, which is related to the increased use of better learning tools and methods.