• Journal of Korea Multimedia Society
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• v.6 no.7
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• pp.1312-1320
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• 2003

In this paper, we consider a multilayer neural network, with a single hidden layer. Error backpropagation learning method used widely in multilayer neural networks has a possibility of local minima due to the inadequate weights and the insufficient number of hidden nodes. So we propose a fuzzy supervised learning algorithm by using self-generation that self-generates hidden nodes by the compound fuzzy single layer perceptron and modified ART1. From the input layer to hidden layer, a modified ART1 is used to produce nodes. And winner take-all method is adopted to the connection weight adaptation, so that a stored pattern for some pattern gets updated. The proposed method has applied to the student identification card images. In simulation results, the proposed method reduces a possibility of local minima and improves learning speed and paralysis than the conventional error backpropagation learning algorithm.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.10 no.1
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• pp.187-198
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• 2015

The purpose of this research is to explore the characteristics of Korean Global Hidden Champions focused on the success factors of foreign hidden champions. For this, we investigated the application process of these success factors of foreign hidden champions to Korean Global Hidden Champions and analyzed characteristics of Korean Global Hidden Champions with the cases of 11 companies. This research shows that there are the success factors of foreign hidden champions such as leadership and goals, self production, high-performance employees, market focus, continuous innovation, closeness to customer, globalization. This research also shows that there are some differences in the individual application process of success factors to each company. The Korean SME's trying to achieve the position of global hidden champions should know the success factors of foreign hidden champions clearly and investigate the application process of these success factors to Korean Global Hidden Champions carefully so that they may apply these lessons to their management processes and activities.

• 한국HCI학회:학술대회논문집
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• 2008.02a
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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.

• Journal of English Language & Literature
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• v.54 no.2
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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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• v.7 no.11
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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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• v.16 no.9
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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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• 2005.06a
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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.

• Korean Journal of Computational Design and Engineering
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• v.11 no.6
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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.

• Cross-Cultural Studies
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• v.20
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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.

• Journal of the Institute of Convergence Signal Processing
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• v.2 no.3
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• pp.79-85
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• 2001

We obtain a solution of inverse kinematic of 3 axis manipulator by using a self-organizing neral network(SONN) with a fuzzy compensator. The self-organizing neural network using the gaussian potential function as the activation function has one hidden layer in the first learning time. The network obtains the optimal number of node by increasing the number of hidden layer node through the learning, and the fuzzy compensator has the optimal loaming rate of neutral network. In this results, we can confirmed that the learning rate is improved and the rapid convergence to the steady-state.