• 한국정보처리학회논문지
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• 제6권12호
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• pp.3559-3568
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• 1999

수많은 정보의 홍수 속에 정보 과다는 현대인의 피할 수 없는 문제로 대두되었다. 특히, 인터넷과 컴퓨팅 기술의 발전으로 정보 자원이 급속도로 증가하고 있다. 따라서, 사용자가 원하는 정보를 찾아내는 것은 더욱 어려워졌다. 이러한 정보 검색 문제들을 해결하기 위하여 많은 정보 검색 시스템이 나타나게 되었다. 현재의 정보 검색 시스템들은 문서 검색에서는 사용자의 요구에 맞는 결과를 찾아 주고 있다. 그러나. 화상에 대한 검색 시스템의 연구는 초보 단계이기 때문에 사용자의 요구에 맞는 결과를 출력하지 못하고 있다. 이러한 문제를 해결하기 위해서 본 논문에서는 화상 검색 시스템이 사용자 모델을 이용하여 사용자에게 적응할 수 있는 기능을 부여하기 위하여 지능 사용자 인터페이스에 관한 고찰을 통한 인간-컴퓨터의 상호 작용 모델인 HCOS(Human-Computer Symmetry) 모델을 적용하고 이를 기반으로 화상 검색 시스템에서의 사용자 적응 능력을 갖는 지능 사용자 인터페이스를 제안하였다. 지능 사용자 인터페이스는 정보 검색의 복잡성과 사용자와 시스템간의 의미상의 차이를 감소시켜야 하며 사용자의 질의 성향과 관심을 반영할 수 있도록 학습 기능과 적응 기능을 포함하고 있어야 한다. 이를 위해 본 논문에서는 화상 검색을 위한 사용자 모델에 기계 학습(Machine Learning) 알고리듬인 결정 트리(Decision Tree)와 역전파 신경망(Backpropagation Neural Network)을 사용하였다. 지능 사용자 인터페이스의 화상 검색 실험을 통하여 시스템이 사용자에 적응하여 검색 효율이 좋아짐을 알 수 있었다.

• Korean Journal of Acupuncture
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• 제35권2호
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• pp.70-81
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• 2018

Objectives : To investigate the association of trial registration status with presence of reporting bias including publication bias and outcome reporting bias in recently published randomized controlled trials (RCTs) of acupuncture. Methods : A PubMed search for RCTs of acupuncture published from March 2016 to February 2017 was conducted. Primary outcomes were identified and the direction of the results was judged as positive (i.e., statistically significant) or negative. The trial registration was identified by manually screening the trial registration number in the main text of the published article and classified into 1) prospective registration; 2) retrospective registration based on the registration date or; 3) no registration. Results : Of the 125 included RCTs, only 40 studies (32.0%) prospectively registered the study protocols. Among 65 RCTs that adequately reported the primary outcome, unregistered trials were more likely to report positive results than the registered ones (p=0.013). Of the 40 prospectively registered studies, 19 trials (47.5%) had the discrepancies between the registered and published primary outcomes and furthermore, 40% of them reported the positive findings. Conclusions : Unregistered trials were more likely to report positive results and the discrepancies between the registered and published primary outcomes were detected in about a half of the prospectively registered studies, 42.1% of which tended to report positive findings. Journal editors and researchers in this field should be alerted to various reporting biases.

• Asian Pacific Journal of Cancer Prevention
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• 제17권12호
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• pp.5237-5242
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• 2016

Background: Cancer screening rates are lower in Japan than those in western countries. Health professionals publish procancer screening messages on the internet to encourage audiences to undergo cancer screening. However, the information provided is often difficult to read for lay persons. Further, anti-cancer screening activists warn against cancer screening with messages on the Internet. We aimed to assess and compare the readability of pro- and anti-cancer screening online messages in Japan using a measure of readability. Methods: We conducted web searches at the beginning of September 2016 using two major Japanese search engines (Google.jp and Yahoo!.jp). The included websites were classified as "anti", "pro", or "neutral" depending on the claims, and "health professional" or "non-health professional" depending on the writers. Readability was determined using a validated measure of Japanese readability. Statistical analysis was conducted using two-way ANOVA. Results: In the total 159 websites analyzed, anti-cancer screening online messages were generally easier to read than pro-cancer screening online messages, Messages written by health professionals were more difficult to read than those written by non-health professionals. Claim ${\times}$ writer interaction was not significant. Conclusion: When health professionals prepare pro-cancer screening materials for publication online, we recommend they check for readability using readability assessment tools and improve text for easy comprehension when necessary.

• 한국연극학
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• 제48호
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• pp.127-170
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• 2012

The primary concerns of this thesis simply stems from the curiosity of how the playwright Kim Jihoon lookouts a peculiar change of our spiritual, physical world. His lately work, , deals with a tribe of mixed blood who are either not shared by, or excluded from a national system, putting the writer's emphasis on some hints that informs us his outlook on the world. And these hints summon the following doubts. What is the significance of constituting a national community in this age, particularly in the time when the end of national people is frequently being referred? In strengthening national compositions, can the national identity be a pivotal element and central mechanism? Can the identity be able to exercise the hegemonic functions containing the political rights of decisions? Does the identity still dominate the various collective bodies such as genders, races, regions, professions, generations and classes etc? Finally, as the manifests, can the national identity be a desirable alternative that may cease both confusions and disorders evoked by the collision of heterogeneity? To find the answer, the study starts from a search for the origin of the complexities immanent in the mixed blood. The terror syndrome and the ambiguous identity, both residing outside the border of normality, will characterise the origin. Then I will focus both on the tribe's desperation itself and their present hope, in order. A myth of creating a country, making history and nationalism, all these are converged in their resistant ideology. This thesis ends with no clear conclusion, and yet suggesting the three presumptions the text insinuates: nomadism, a new barbarism, and the heterogeneity that awaits for our re-reading, and hoping that the three will lead the 'being-to-come' of the tribe, as an alternative of their future.

• 한국콘텐츠학회논문지
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• 제19권8호
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• pp.44-57
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• 2019

극장 공연에서의 무용 공연은 텍스트 중심으로 진행되어 플롯이 존재하고 캐릭터가 부각된다. 또한 극장 공연에서의 무용 공연은 표현력과 테크닉이 강조되는가 하면 공간에 대한 인식 역시 매우 근대적이며 이분법적인 데카르트적 사고의 전형을 보인다. 미술관이라는 공간 역시 극장 공간과 동일하게 근대적 산물의 공간인 동시에 예술이 도래하는 권위를 부여받았다는 점에서는 많은 유사점을 가지고 있는 공간이다. 미술관은 재현(Representation)에 목적을 두는 것이 아닌 현존(Presence)에 더한 가치를 두고 있다. 이러한 이유로 최근에 들어 빈번하게 소개되는 미술관에서의 작업들은 장소특정적이거나 수행적 개념의 작업들이 주를 이루고 있다. 이제는 미술관도 작품으로 규정된 미학에서 얻을 수 있는 것보다도 지금, 여기에서 발생되는 사건으로의 퍼포먼스에 주목하면서 미술관 스스로의 미학적 생산과 당위성을 보장받고 있는 셈이다.

• 디지털산업정보학회논문지
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• 제14권4호
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• pp.35-45
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• 2018

Users are sharing many of contents such as text, image, video, and so on in SNS. There are various information as like as personal interesting, opinion, and relationship in social media contents. Therefore, many of recommendation systems or search systems are being developed through analysis of social media contents. In order to extract subject-related topics of social context being collected from social media channels in developing those system, it is necessary to develop ontologies for semantic analysis. However, it is difficult to develop formal ontology because social media contents have the characteristics of non-formal data. Therefore, we develop a social topic system based on semantic and subject correlation. First of all, an extracting system of social topic based on semantic relationship analyzes semantic correlation and then extracts topics expressing semantic information of corresponding social context. Because the possibility of developing formal ontology expressing fully semantic information of various areas is limited, we develop a self-extensible architecture of ontology for semantic correlation. And then, a classifier of social contents and feed back classifies equivalent subject's social contents and feedbacks for extracting social topics according semantic correlation. The result of analyzing social contents and feedbacks extracts subject keyword, and index by measuring the degree of association based on social topic's semantic correlation. Deep Learning is applied into the process of indexing for improving accuracy and performance of mapping analysis of subject's extracting and semantic correlation. We expect that proposed system provides customized contents for users as well as optimized searching results because of analyzing semantic and subject correlation.

• Archives of Plastic Surgery
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• 제48권3호
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• pp.310-322
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• 2021

The incidence of extremity amputation is estimated at about 200,000 cases annually. Over 25% of patients suffer from terminal neuroma or phantom limb pain (TNPLP), resulting in pain, inability to wear a prosthetic device, and lost work. Once TNPLP develops, there is no definitive cure. Therefore, there has been an emerging focus on TNPLP prevention. We examined the current literature on TNPLP prevention in patients undergoing extremity amputation. A literature review was performed using Ovid Medline, Cochrane Collaboration Library, and Google Scholar to identify all original studies that addressed surgical prophylaxis against TNPLP. The search was conducted using both Medical Subject Headings and free-text using the terms "phantom limb pain," "amputation neuroma," and "surgical prevention of amputation neuroma." Fifteen studies met the inclusion criteria, including six prospective trials, two comprehensive literature reviews, four retrospective chart reviews, and three case series/technique reviews. Five techniques were identified, and each was incorporated into a targetbased classification system. A small but growing body of literature exists regarding the surgical prevention of TNPLP. Targeted muscle reinnervation (TMR), a form of physiologic target reassignment, has the greatest momentum in the academic surgical community, with multiple recent prospective studies demonstrating superior prevention of TNPLP. Neurorrhaphy and transposition with implantation are supported by less robust evidence, but merit future study as alternatives to TMR.

• 산업융합연구
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• 제18권6호
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• pp.19-25
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• 2020

빅데이터 분석은 오늘날 다양한 산업 및 공공분야에서 필수적으로 활용되고 있다. 이에 본 연구에서는 빅데이터 분석을 활용하여 국내 관광 서비스 개선 방안을 LDA분석 방법을 통해 모색하고자 한다. 특히 외국인 방문객이 가장 많은 서울을 중심으로 관광객의 만족도를 높이고 이를 통해 재방문을 향상시킬 수 있고 서비스를 개선할 수 있는 탐색적 접근을 시도하였다. 본 연구에서는 서울시와 한국관광공사의 통계 자료 및 SNS 등의 인터넷 정보들을 R을 통해 수집 및 분석을 진행하였다. 그리고 LDA를 포함한 텍스트 마이닝 기법을 활용하였다. 분석 결과 외국인들의 한국을 방문하는 목적 중 하나는 식도락 관광이었다. 이에 식도락 관광을 중심으로 서비스의 질을 높이기 위한 방안을 도출하고자 한다.

• International Journal of Advanced Culture Technology
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• 제8권4호
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• pp.263-270
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• 2020

The growth of the mobile app markets has made it popular among people who recommend relevant information about restaurants. The recommendation service app based on AI Chatbot is that it can efficiently manage time and finances by making it easy for restaurant consumers to easily access the information they want anytime, anywhere. Eating out consumers use smartphone applications for finding restaurants, making reservations, and getting reviews and how to use them. In addition, social attention has recently been focused on the research of AI chatbot. The Chatbot is combined with the mobile messenger platform and enabling various services due to the text-type interactive service. It also helps users to find the services and data that they need information tersely. Applying this to restaurant recommendation services will increase the reliability of the information in providing personal information. In this paper, an artificial intelligence chatbot-based smartphone restaurant recommendation app using personalization information is proposed. The recommendation service app utilizes personalization information such as gender, age, interests, occupation, search records, visit records, wish lists, reviews, and real-time location information. Users can get recommendations for restaurants that fir their purpose through chatting using AI chatbot. Furthermore, it is possible to check real-time information about restaurants, make reservations, and write reviews. The proposed app uses a collaborative filtering recommendation system, and users receive information on dining out using artificial intelligence chatbots. Through chatbots, users can receive customized services using personal information while minimizing time and space limitations.

• 정보보호학회논문지
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• 제21권2호
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• pp.91-100
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• 2011

Triple DES(Data Encryption Standard)는 DES의 안전성을 향상시키기 위하여 2번의 DES 암호화와 1번의 DES 복호화를 수행하는 국제 표준 암호 알고리즘이다. 본 논문에서는 Triple DES에서 수행되는 각각의 DES 알고리즘 중 마지막 라운드를 실행시키지 않도록 오류를 주입함으로써 비밀키를 찾아내는 차분 오류 분석(Differential Fault Analysis, DFA)공격을 제안한다. 제안한 공격 방법을 이용하여 시뮬레이션 결과, 9개 정도의 정상-오류 암호문 쌍을 얻을 수 있으면 $2^{24}$번의 비밀 키 전탐색을 통해 3개의 비밀키를 모두 찾을 수 있었다. 또한, ATmega128 칩에 Triple DES 암호 알고리즘을 실제로 구현하고 레이저를 이용한 오류를 주입함으로써 제안 공격이 오류 주입 대응책이 적용되지 않은 범용 마이크로프로세서 칩에 적용 가능함을 검증하였다.