• 한국멀티미디어학회논문지
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• 제6권7호
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• pp.1312-1320
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• 2003

본 논문에서는 하나의 은닉층을 가지는 다층 구조 신경망이 고려되었다. 다층 구조 신경망에서 널리 사용되는 오루 역전파 학습 방법은 초기 가중치와 불충분한 은닉층 노드 수로 인하여 지역 최소화에 빠질 가능성이 있다. 따라서 본 논문에서는 퍼지 단층 퍼셉트론에 ART1을 결합한 방법으로, 은닉층의 노드를 자가 생성(self-generation)하는 퍼지 지도 학습 알고리즘을 제안한다. 입력층에서 은닉층으로 노드를 생성시키는 방식은 ART1을 수정하여 사용하였고, 가중치 조정은 특정 패턴에 대한 저장 패턴을 수정하도록 하는 winner-take-all 방식을 적용하였다. 제안된 학습 방법의 성능을 평가하기 위하여 학생증 영상을 대상으로 실험한 결과. 기존의 오류 역전파 알고즘보다 연결 가중치들이 지역 최소화에 위치할 가능성이 줄었고 학습 속도 및 정체 현상이 개선되었다.

• 벤처창업연구
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• 제10권1호
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• pp.187-198
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• 2015

본 연구는 해외 글로벌 강소기업들의 핵심성공요인, 즉 히든챔피언의 원리를 바탕으로 국내 글로벌 강소기업들의 특성을 탐색하고자 하였다. 이를 위해 국내 11개 글로벌 강소기업들을 대상으로 사례 연구를 수행하여 해외 히든 챔피언들의 성공요인이 어떻게 적용되고 있는지 살펴보고, 이를 바탕으로 국내 글로벌 강소기업들의 특성을 분석하였다. 해외의 히든챔피언들이 보유하고 있는 성공원리인 시장을 지배하는 목표와 자체생산 능력, 고성과를 내는 직원들, 핵심 사업에의 집중과 지속적 혁신, 고객 친밀성과 세계시장 지향 등의 원칙들은 국내 글로벌 강소기업들의 특성에 대부분 적용되고 있었으나, 구체적으로 적용되는 과정에서는 보다 세분화된 형태로 다르게 나타나고 있었다. 국내 중소기업들이 글로벌 강소기업으로 성장하기 위해서는, 국내 글로벌 강소기업들도 공통된 성공요인으로 보유하고 있는 해외 히든 챔피언들의 성공원리와 이것이 국내 글로벌 강소기업들에 적용되는 과정을 자세히 살펴봄으로써, 자사의 특성에 맞는 활용 방안을 모색해야 할 것이다.

• 한국HCI학회:학술대회논문집
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• 한국HCI학회 2008년도 학술대회 1부
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• pp.245-250
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• 2008

최근 동작 및 행동 인식에 대한 연구가 활발하다. 특히, 센서가 소형화되고 저렴해지면서 그 활용을 위한 관심이 증가하고 있다. 기존의 많은 행동 인식 연구에서 사용되어 온 정적 분류 기술 기반 동작 인식 방법은 연속적인 데이터 분류 기술에 비해 유연성 및 활용성이 부족할 수 있다. 본 논문에서는 연속적인 데이터의 패턴 분류 및 인식에 효과적인 확률적 추론 기법인 은닉 마르코프 모델(Hidden Markov Model)과 사전 지식 없이도 자동 학습이 가능하며 의미 깊은 궤적 패턴을 클러스터링하고 효과적인 양자화가 가능한 자기구성지도(Self Organizing Map)를 이용한 동작 인식 기술을 소개한다. 또한, 그 유용성을 입증하기 위해 실제 가속도 센서를 이용하여 다양한 동작에 대한 데이터를 수집하고 분류 성능을 분석 및 평가한다. 실험에서는 실제 가속도 센서를 통해 수집된 숫자를 그리는 동작의 성능 평가 결과를 보이고, 행동 인식기 별 성능과 전체 인식기별 성능을 비교한다.

• 영어영문학
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• 제54권2호
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• pp.301-322
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• 2008

Pauline Hopkins's Of One Blood; Or, the Hidden Self was published in the Colored American Magazine during 1902-03. As a literary experimentalist and a political protester, Hopkins uses her fiction as a medium to overcome and ameliorate the violently racialized surroundings of the turn-of-the-century America. Having been faced with racist rhetorics and theories growing on biological differences between races, Hopkins must have felt an overwhelming urgency to challenge the heritage of slavery in American history. In order to speak out her political agenda in such a milieu, she needed a new setting as well as new narrative materials for the new era. She had to move the setting from America to Africa, the ancient utopian Ethiopia; her interest in the ancient African civilization reflects both a popular African-American vision of Africa and the movement of "black nationalism" of the time. She also needed materials from nineteenthcentury sciences, the newly evolving theories of psychology and mysticism (spiritualism/mesmerism), to explore the meaning of "the hidden self" which unfolds the complex nature of Hopkin's position on race, "blood," and African-American racial subjectivity. Hopkins in the novel explores not the color line but the bloodline. Tracing the horrific legacy of incest in the history of slavery, she attempts to redefine the true racial identity of African-Americans in America and to reconstruct their past, both family and race history. At the very center of her major tropes in the novel-such as "of one blood," "the hidden self," and incest-exists female body. Black female body, though it represents the violent site of sexual body (rape and incest) in slavery, ultimately becomes a vehicle to convey and preserve the truth of racial memory/past/history for African-Americans. As a conveyor of the past, black women not just connect the past and the present but also reawaken AfricanAmericans with the legacy of the African 'pure' bloodline. Hopkins's vision here necessitates the reevaluation of black women's role in family and history, heralding the 20th-century black feminine writing. With the major tropes, Hopkins clearly suggests that the blood of (African-)Americans is unrecognizably intermixed. Although the novel ends with ambivalence and without resolution on what Africa signifies, those tropes certainly offer her a vehicle for criticizing as well as for challenging the racial reality of America.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제7권11호
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• pp.2561-2576
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• 2013

The ship ad-hoc network (SANET) extends the coverage of the high data-rate terrestrial communications to the ships with the reduced cost in maritime communications. Cognitive radio (CR) has the ability of sensing the radio environment and dynamically reconfiguring the operating parameters, which can make SANET utilize the spectrum efficiently. However, due to the dynamic topology nature and no central entity for data fusion in SANET, the interference brought into the primary network caused by the hidden primary user requires to be carefully managed by a sort of decentralized cooperative spectrum sensing schemes. In this paper, we propose a self-weighted decentralized cooperative spectrum sensing (SWDCSS) scheme to solve such a problem. The analytical and simulation results show that the proposed SWDCSS scheme is reliable to detect the primary user in SANET. As a result, secondary network can efficiently utilize the spectrum band of primary network with little interference to primary network. Referring the complementary receiver operating characteristic (ROC) curves, we observe that with a given false alarm probability, our proposed algorithm reduces the missing probability by 27% than the traditional embedded spectrally agile radio protocol for evacuation (ESCAPE) algorithm in the best condition.

• Asian Pacific Journal of Cancer Prevention
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• 제16권9호
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• pp.4081-4088
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• 2015

Background: Men and women who smoke tend to show less compliance to screening guidelines than non-smokers. However, a recent study in Korea showed that self-reported female smokers constituted less than half of cotinine-verified smokers. Therefore, the aim of this study was to identify hidden smokers using cotinine-verified method and examine cancer screening behavior according to biochemically verified smoking status. Materials and Methods: Among 5,584 women aged 30 years and older who participated in the Fourth and Fifth Korea National Health and Nutrition Examination Survey (KNHANES), 372 (6.66%) hidden smokers were identified based on interview responses and verified by urinary cotinine levels. We compared cancer-screening behavior (cervical, breast, stomach, and colon cancer) of female hidden smokers to that of non-smokers and selfreported smokers by cross-sectional analysis. Results: Hidden female smokers had significantly lower adherence to breast cancer screening compared to non-smokers (aOR (adjusted odds ratio) [95% CI] = 0.71 [0.51-0.98]). Adherence to stomach cancer (aOR [95% CI] = 0.75 [0.54-1.03]) and cervical cancer (aOR [95% CI] = 0.85 [0.66-1.10]) screening was also lower among hidden female smokers compared to non-smokers. Self-reported (current) smokers showed lowest adherence to cervical cancer (aOR: 0.64, 95% CI0.47-0.87), breast cancer (0.47 [0.32-0.68]), stomach cancer (0.66[0.46-0.95]), and colon cancer (0.62 [0.38-1.01]) screening compared to non-smokers, followed by female hidden smokers, then non-smokers. These lower adherence rates of current smokers were attenuated after we incorporated hidden smokers into the current smoker group. Conclusions: Cancer screening adherence of female hidden smokers was lower than cotinine-verified non-smokers but higher than current smokers. Considering the risk of smoking-related cancer among women, identifying hidden smokers is important to encourage appropriate cancer screening.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2005년도 ICCAS
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• pp.281-286
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• 2005

The main objective of the research work presented in this article is to present a systematic approach for designing a multilayer feed-forward artificial neural network based self-tuning power system stabilizer (ST-ANNPSS). In order to suggest an approach for selecting the number of neurons in the hidden layer, the dynamic performance of the system with ST-ANNPSS is studied and hence compared with that of conventional PSS. Finally the effect of variation of loading condition and equivalent reactance, Xe is investigated on dynamic performance of the system with ST-ANNPSS. Investigations reveal that ANN with one hidden layer comprising nine neurons is adequate and sufficient for ST-ANNPSS. Studies show that the dynamic performance of STANNPSS is quite superior to that of conventional PSS for the loading condition different from the nominal. Also it is revealed that the performance of ST-ANNPSS is quite robust to a wide variation in loading condition.

• 한국CDE학회논문집
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• 제11권6호
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• pp.455-463
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• 2006

Hidden line removal(HLR) algorithms can be devised either in the image space or in the object space. This paper describes a hidden line removal algorithm in the object space specifically for the CAD viewer data. The approach is based on the Appel's 'Quantitative Invisibility' algorithm and fundamental concept of 'back face culling'. Input data considered in this algorithm can be distinguished from those considered for HLR algorithm in general. The original QI algorithm can be applied for the polyhedron models. During preprocessing step of our proposed algorithm, the self intersecting surfaces in the view direction are divided along the silhouette curves so that the QI algorithm can be applied. By this way the algorithm can be used for any triangulated freeform surfaces. A major advantage of this algorithm is the applicability to general CAD models and surface-based visualization data.

• 비교문화연구
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• 제20권
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• pp.183-201
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• 2010

Based on case studies from Japan and South Korea, this review paper explores the hidden costs of English language learning (ELL). In a context where English has become a commodity and ELL a form of consumption, we focus on the personal and social costs of (a) studying abroad as a much-touted path to "native-like" proficiency and (b) sexualization of language teaching materials in order to reach new niche markets. The hidden costs of ELL are embedded in language ideologies which set English up as a magical means of self-transformation and, at the same time, an unattainable goal for most Japanese and Koreans. We end with the call to expose debilitating language ideologies in order to shed light on the hidden costs of ELL.

• 융합신호처리학회논문지
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• 제2권3호
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• pp.79-85
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• 2001

본 논문에서는 퍼지 보상기와 자기구성 신경회로망을 이용하여 3축 매니퓰레이터의 역 기구학 해를 구하는 방법을 제안한다. 가우시안 위치 함수를 활성화 함수로 사용하는 자기구성 신경회로망은 학습 시작시 1개의 은닉층 노드를 가지고 학습을 하면서 점차적으로 은닉층의 노드수를 증가시킴으로서 최적의 노드수를 얻을 수 있으며, 퍼지 보상기는 신경회로망의 양호한 학습비를 얻는다. 이와 같이 시스템을 구성하여 빠른 학습속도와 학습비의 개선 그리고 빠른 정상상태로의 수렴을 확인하였다.