• 한국도서관정보학회지
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• 제37권2호
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• pp.127-144
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• 2006

이 연구는 디지털도서관에서 제공 가능한 통합검색 방식의 유형과 특성을 분석할 목적으로 다음의 세 가지작업을 수행하였다. 첫째, 이용자 관점에서 디지털도서관의 발전단계와 일반적인 통합 방식의 특성을 정리하였다. 둘째, 현재 국내외 대표적인 도서관 포털의 모범사례인 영국의 JISC IE, 미국의 NSDL의 OCKHAM, 그리고 한국의 국가지식포털을 대상으로 통합검색의 현황과 특성에 대하여 검토하였다. 셋째, 디지털도서관에 영역에서 많이 적용되고 있는 통합검색 방식의 유형을 메타통합검색과 분산검색으로 구분하여 각각의 기법적 특성을 도출하였다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제8권11호
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• pp.3937-3954
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• 2014

With the increasing electricity consumption and the wide application of renewable energy sources, energy auction attracts a lot of attention due to its economic benefits. Many schemes have been proposed to support energy auction in smart grid. However, few of them can achieve range query, ranked search and personalized search. In this paper, we propose an efficient multi-keyword range query (EMRQ) scheme, which can support range query, ranked search and personalized search simultaneously. Based on the homomorphic Paillier cryptosystem, we use two super-increasing sequences to aggregate multidimensional keywords. The first one is used to aggregate one buyer's or seller's multidimensional keywords to an aggregated number. The second one is used to create a summary number by aggregating the aggregated numbers of all sellers. As a result, the comparison between the keywords of all sellers and those of one buyer can be achieved with only one calculation. Security analysis demonstrates that EMRQ can achieve confidentiality of keywords, authentication, data integrity and query privacy. Extensive experiments show that EMRQ is more efficient compared with the scheme in [3] in terms of computation and communication overhead.

• KIEE International Transactions on Power Engineering
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• 제5A권4호
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• pp.331-338
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• 2005

In this paper, an improved maintenance scheduling approach suitable for the competitive environment is proposed by taking account of profits and costs of generation companies and the formulated combinatorial optimization problem is solved by using Reactive Tabu search (RTS). In competitive power markets, electricity prices are determined by the balance between demand and supply through electric power exchanges or by bilateral contracts. Therefore, in decision makings, it is essential for system operation planners and market participants to take the volatility of electricity price into consideration. In the proposed maintenance scheduling approach, firstly, electricity prices over the targeted period are forecasted based on Artificial Neural Network (ANN) and also a newly proposed aggregated bidding curve. Secondary, the maintenance scheduling is formulated as a combinatorial optimization problem with a novel objective function by which the most profitable maintenance schedule would be attained. As an objective function, Opportunity Loss by Maintenance (OLM) is adopted to maximize the profit of generation companies (GENCOS). Thirdly, the combinatorial optimization maintenance scheduling problem is solved by using Reactive Tabu Search in the light of the objective functions and forecasted electricity prices. Finally, the proposed maintenance scheduling is applied to a practical test power system to verify the advantages and practicability of the proposed method.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제10권7호
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• pp.3272-3285
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• 2016

Recently, Vector of Locally Aggregated Descriptors (VLAD) has been proposed to index image by compact representations, which encodes powerful local descriptors and makes significant improvement on search performance with less memory compared against the state of art. However, its performance relies heavily on the size of the codebook which is used to generate VLAD representation. It indicates better accuracy needs higher dimensional representation. Thus, more memory overhead is needed. In this paper, we enhance VLAD image representation by using two level hierarchical-codebooks. It can provide more accurate search performance while keeping the VLAD size unchanged. In addition, hierarchical-codebooks are used to construct multiple inverted files for more accurate non-exhaustive search. Experimental results show that our method can make significant improvement on both VLAD image representation and non-exhaustive search.

• 한국음향학회지
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• 제40권5호
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• pp.496-502
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• 2021

딥러닝 기반의 심층 화자 임베딩 방식은 최근 문장 독립 화자 검증 연구에 널리 사용되고 있으며, 기존의 i-vector 방식에 비해 더 좋은 성능을 보이고 있다. 본 연구에서는 심층 화자 임베딩 방식을 발전시키기 위하여, 화자의 그룹 정보를 도입한 그룹기반 화자 임베딩을 제안한다. 훈련 데이터 내에 존재하는 전체 화자들을 정해진 개수의 그룹으로 비지도 클러스터링 하며, 고정된 길이의 그룹 임베딩 벡터가 각각의 그룹을 대표한다. 그룹 결정 네트워크가 각 그룹에 대응되는 그룹 가중치를 출력하며, 이를 이용한 그룹 임베딩 벡터들의 가중 합을 통해 집합 그룹 임베딩을 추출한다. 최종적으로 집합 그룹 임베딩을 심층 화자 임베딩에 더해주어 그룹기반 화자 임베딩을 생성한다. 이러한 방식을 통해 그룹 정보를 심층 화자 임베딩에 도입함으로써, 화자 임베딩이 나타낼 수 있는 전체 화자의 검색 공간을 줄일 수 있고, 이를 통해 화자 임베딩은 많은 수의 화자를 유연하게 표현할 수 있다. VoxCeleb1 데이터베이스를 이용하여 본 연구에서 제안하는 방식이 기존의 방식을 개선시킨다는 것을 확인하였다.

• 한국학교ㆍ지역보건교육학회지
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• 제11권1호
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• pp.67-78
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• 2010

Background & Objectives: Current trend is that funding agencies require investigators to share their data with others. However, there is limited guidance how to access and utilize the shared data. We sought to determine what common data sharing practices in U.S.A. are, what data-related to adolescent health are freely available, and how we deal with the large dataset adopting the complex study design. Methods: The study included only research data-related to adolescent health which was collected in USA and unlimitedly accessible through the internet. Only the raw data, not aggregated, was considered for the study. Major keywords for web search were "adolescent", "children", "health", and "school". Results: Current approaches for public health data sharing lacked of common standards and varied largely due to the data's complex nature, large size, local expertise and internal procedures. Some common data sharing practices are unlimited access, formal screened access, restricted access, and informal exclusive access. The Inter-University Consortium for Political and Social Research and the Center for Disease Control and Prevention were the best data depository. "Data on the net" was search engine for the website providing data freely available. Six datasets related to adolescent health freely available were identified. The importance and methods of incorporating complex research design into analysis was discussed. Conclusion: There have been various attempts to standardize process for open access and open data using the information technology concept. However, it may not be easy for researchers to adapt themselves to this high technology. Therefore, guidance provided by this study may help researchers enhance the accessibility to and the utilization of the open source data.

• 한국환경보건학회지
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• 제44권6호
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• pp.591-598
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• 2018

Objectives: Radiologists are the service worker with emotional labor who works within a relatively small space of the hospital, dealing with multiple patients. The purposes of this study were to search the turnover intention and job satisfaction through the work of emotional labor of radiologists. Methods: A questionnaire survey was conducted on 109 radiologists working at university hospitals, general hospitals, clinics and other facilities across the domestic. The regions were aggregated according to Quality Function Deployment (QFD) method, which was applied in proportion to the population distribution. A questionnaire was composed of 26 questions which were used in Korean Emotional Laboratory Scale (K-ELS). Results: The overall emotional labor score was $48.3{\pm}15.8$. The most pressing requirement of radiologists to improve emotional labor was the topic about the exchange of colleagues ($75.8{\pm}15.6$ score, ${\beta}=0.78$, p<0.001). Conclusions: In order to resolve the emotional labor of radiologists, it could be necessary to have a meeting through training and workshops where the exchange of colleagues can take place.

• 한국정보처리학회논문지
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• 제5권6호
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• pp.1404-1417
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• 1998

현재 웹을 통하여 인터넷 데이터베이스를 검색하는 방법에는 검색 엔진 기술을 이용한 방법과, 둘째 플러그인 기술이나 엑티브엑스 기술을 이용한 검색 방법으로 나눌 수 있다. 검색 엔진을 이용하는 방법은 단순 문서와 같은 대량의 텍스트 데이터를 키워드와 같은 인덱스를 구축하고 이를 이용하여 검색하는 방법으로서, 문제점은 하나 이상의 데이터베이스를 동시에 검색하지 못하고 또 질의어와 같은 다양한 형태의 조건 검색을 할 수가 없으며, 사용자의 요구에 맞지 않는 데이터가 많이 전송된다는 즉, 정확성이 낮다는 세 가지 점을 들 수 있다. 플러그인 기술이나 액티브엑스 기술을 이용하는 방법은 웹 화면상에서 DBMS를 이용하여 클라이언트의 질의를 실행시켜 데이터베이스를 검색하는 방법으로서, 문제점은 동일한 데이터모델의 경우라도 하나 이상의 DBMS를 동시에 기동시킬 수 없고 또 클라이언트 프로그램에서 미리 정의된 질의 이외의 다양한 종류의 질의를 할 수 없다는 두 가지 점을 들 수 있다. 본 논문에서는 이러한 문제점들을 해결하기 위해서 인터넷/인트라넷상에서 새로운 개념으로 작성한 가상데이터베이스를 이용하여 웹 화면을 통해서 다양한 종류의 질의를 직접 할 수 있는 데이터베이스 검색 시스템을 설계하는 데에 있다. 여기서, 가상데이터베이스는 동일한 관계데이터 모델로서 하나 이상의 관계 DBMS를 사용하는 것으로 가정한다.

• Clinical and Experimental Reproductive Medicine
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• 제48권4호
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• pp.311-315
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• 2021

Objective: As clinicians and patients await consensus on intraovarian platelet-rich plasma (PRP) treatment, this project evaluated contemporary research trends in the literature. Methods: A PubMed/NLM search aggregated all ovarian PRP-related publications (n=54) to evaluate their scope, abstract utility, submission-to-publication interval, journal selected, article processing charge (APC), free reader access to full-text manuscripts, number and nationality of authors, and inclusion of international collaborators. The NIH Clinical Trials database was also audited. Results: Published output on intraovarian PRP has increased consistently since 2016, especially among investigators in Greece, Iran, USA, and Turkey. Between 2013 and 2021, 42 articles met the relevancy criteria, of which 40.5% reported clinical studies, small series, or case reports, 33% described experimental animal models, and 23.8% were opinion/review papers. Only two works included a placebo control group. The submission-to-publication interval (mean±standard deviation) was 130±96 days, there were 5.9±3.2 authors per project, and journals invoiced US $1,613±1,466 (range, $0-$3,860) for APCs. Conclusion: There was no correlation between APC and time to publish (Pearson's r=-0.01). Abstract content was inconsistent; sample size and patient age were often missing, yet free full-text "open access" was available for most publications (59.5%). The NIH Clinical Trials portal lists eight registered studies on "ovarian rejuvenation," of which two are actively recruiting patients, while four have been terminated or have an uncertain status. Two studies have concluded, with results from one posted to the NIH website. PRP and its derivatives for ovarian treatment show early promise, but require further investigation. Research is accelerating and should be encouraged, particularly placebo-controlled randomized clinical trials.

• 한국정보통신학회논문지
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• 제24권8호
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• pp.999-1005
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• 2020

오늘날의 검색 포털은 뉴스의 창구로서는 가장 큰 비율을 차지하지만, 중립성에 대해서는 의문이 제기되고 있다. 이는 포털 뉴스가 편향된 정보의 소비를 유도할 수 있기 때문이다. 본 논문은 뉴스 기사의 정치적 편향도를 딥러닝을 이용하여 측정하는 방법에 대하여 소개한다. 이는 기사를 비판적으로 바라보는 시각을 뉴스 독자에게 제공할 것이다. 구체적으로, 국회 회의록에서 추출한 키워드에 편향도를 부여하고, 이를 기반으로 기사의 편향도를 분석하여 머신러닝용 데이터를 구축하였다. 최종적으로 순환 신경망과 합성곱 신경망을 융합한 딥러닝을 통해 기사의 편향도를 계산하는 것을 목표로 하였다. 학습한 모델의 정확도를 분석한 결과 문장별 편향의 좌/우편향 판정은 95.6%의 정확도를 보였으나, 신문기사 전체에서는 46.0%의 정확도를 보였다. 이는 기존의 여러 편향성 연구와 다르게 특정 주제에 한정되지 않고 기사의 보수-진보 편향성을 분석할 수 있도록 한다.