• The Journal of the Acoustical Society of Korea
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• v.8 no.1
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• pp.81-87
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• 1989

This paper discribes the method associated with modeling of Korean phonemes. Hidden Markov models(HMM's) may be viewed as an effective technique for modeling the inherent nonstationarity of speech signal. We propose a 3-state phoneme model to represent the sequentially changing characteristics of phonemes, i.e., transition-to-stationary-to-transition. Also we clarify that the duration of a phoneme is an important factor to have an effect in recognition accuracy and show that improvement in recognition rate can be obtained by using duration-dependent 3-state hidden Markov models.

• International Journal of Fluid Machinery and Systems
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• v.3 no.4
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• pp.369-378
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• 2010

The creation of the hydraulic turbine flow factor map will undoubtedly benefit its design by decreasing both the design cycle time and product cost. In this paper, the geometry and flow variables, which effectively affect the flow factor, are proposed, analyzed and determined. These flow variables are further used to create the operating condition maps by using different model approaches categorized into Response Surface Method (RSM) and Artificial Neural Network (ANN). The accuracies of models created by different approaches are compared and the performances of model approaches are analyzed. The influences of chosen variables and the combination of Principle Component Analysis (PCA) and model approaches are also studied. The comparison results between predicted and actual flow factors suggest that two-hidden-layer Feed-forward Neural Network (FFNN), and one.hidden-layer FFNN with PCA has the best performance on forming this mapping, and are accurate sufficiently for hydraulic turbine design.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2018.05a
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• pp.130-131
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• 2018

The compressive strength of concrete is determined by various influencing factors. However, the conventional method for estimating the compressive strength of concrete has been suggested by considering only 1 to 3 specific influential factors as variables. In this study, nine influential factors (W/B ratio, Water, Cement, Aggregate(Coarse, Fine), Fly ash, Blast furnace slag, Curing temperature, and humidity) of papers opened for 10 years were collected at 4 conferences in order to know the various correlations among data and the tendency of data. The selected mixture and compressive strength data were learned using the Deep Learning Algorithm to derive an estimated function model. The purpose of this study is to investigate the effect of the number of hidden layers on the prediction performance in the process of estimating the compressive strength for an arbitrary combination.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.11 no.2
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• pp.21-33
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• 2016

This paper aims to investigate the relations among the entrepreneurship, SWOT factors, and performance in Korean hidden champion firms. 112 potential Korean hidden champions were drawn at random from the hidden champion candidates of Export-Import Bank of Korea. For analyzing the relationship of them, the entrepreneurship factors categorized with organizational risk taking, innovativeness, and proactiveness from previous researches(Khandwalla, 1977; Miller, 1983; Miller & Friesen, 1978, 1982). Also, four SWOT factors classified into strength, weakness, opportunities, and threat by confirmatory factor analysis. As a result, we found some statistically significant effects between the SWOT factors and entrepreneurship factors, and they sequentially affects to performance. That is, as a presented with previous research, there is verified that entrepreneurship is caused by organizational risk taking, innovativeness, and proactiveness. Also, SWOT factors significantly affect to business performance. Some guidelines for practicing potential Korea hidden champions as a result of this would include; first of all, it is important to support the potential hidden champions consulting approach in global perspectives; secondly, effective governmental support programs for hidden champions should be developed for positive impacts of according to these results.

• Journal of the korean academy of Pediatric Dentistry
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• v.37 no.4
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• pp.532-536
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• 2010

Hidden caries is a subtype of the occlusal pit and fissure caries type and is defined as a dentinal caries lesion near the occlusal surface of the tooth seen on a radiograph. In visual examination, the occlusal enamel is seen intact or is minimally perforated. Covert caries, Occlult caries or Fluoride syndrome are used as synonym. The percentage of occlusal dentin lesions that are clinically undetected ranges from 1.4-50%. Little is known about the mechanisms involved in the development of hidden caries. But it is thought that extensive use of topical fluoride or the special bacteriological profile has been a major factor. This case report is about detection and treatment of hidden caries of two children who visited the department of pediatric dentistry, Yonsei University Dental Hospital. The color of caries dentin found in hidden caries lesion is lighter than cavity forming caries, which makes it more difficult to detect caries by visual examination. Therefore diagnosis of hidden caries is often accomplished after clinical sign is recognized by patients. The use of advanced caries detection aids such as Diagnodent.. with periodic radiographic examination is seemed to be helpful for early detection of hidden caries.

• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• v.22 no.4
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• pp.262-270
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• 2011

Objectives : The definition of a hidden youth is a young person who has completely withdrawn from society and shut himself or herself away for more than 3 months. Those pathologically-withdrawn youths have become a burden not only to society but also to the family. However, screening of these hidden youths cannot be done easily. This study focused on developing a primary effective screening tool for these hidden youths. Methods : The 42 participants of this study were parents of hidden youths that are between 8 to 25 years old. They were selected from from mental health centers and psychiatric clinics around Seoul and Gyeonggi Province. We also recruited 239 parents of middle and high school students in the Seoul metropolitan area for a control group. In order to decide the concurrent validity of this questionnaire, we used the Symptom Checklist-90-Revision, Children's Depression Inventory, Beck Depression Inven-tory, Social Anxiety Scale for Children-Revised, Social Anxiety and Distress Scale, Avoidant Personality Disorder Scale, and State-Trait Anxiety Inventory for Children. SPSS version 12.0 was used for statistical analysis. Results : Cronbach's alpha values, the reliability coefficient to represent internal consistency, were between 0.396 and 0.935, which showed relatively high internal consistency for this questionnaire. The test-retest coefficient was between 0.68 and 0.78, which was a statistically significant result. In a factor analysis, 4 factors such as avoidance, withdrawal, isolation, and apathy were extracted. In a concurrent validity test with SCL-90-R, the isolation factor showed a statistically-significant relationship with a phobic-anxiety sub-scale, and avoidance and withdrawal sub-scales were remarkably correlated with the interpersonal sensitivity sub-scale. Conclusion : Since the questionnaire for socially withdrawn youths has achieved statistically-satisfactory reliability and validity, it will be a useful method to screen for hidden youths in educational, community, and clinical settings.

• Journal of Korean Medical classics
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• v.30 no.3
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• pp.95-108
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• 2017

Objectives : The concept of hidden Yin in summer by Zhu Danxi deals with the relationship between summer heat disease and hidden yin inside of human body. This paper attempts to ponder upon the clinical issues around which the discussions regarding the topic unfolded, and upon the texts on which the doctors of the discussions based their opinions. Methods : First, Danxi's argument as discussed in $G{\acute{e}}zh{\grave{i}}y{\acute{u}}l{\grave{u}}n$ is analyzed to find out his understandings of clinical issues and his textual sources on which he based his new perspective. Moreover, the prescriptions that Danxi thought was problematic and the concept of hidden yin as it existed before the time of Danxi are reviewed, and these findings are used understand Zhangjingyue's ground of criticism against Danxi. Lastly, this paper contemplates how these opposing opinions may be helpful to the general principles of medical theories. Results & Conclusions : There was a trend before the time of Danxi of abusing drugs as prescription based on warm-heat, understanding that a human body has yin-cold during summer. However, Danxi brought forth a new concept of yin deficiency in order to correct people's misunderstanding. Despite his effort, Zhangjingyue and other doctors contemporary to Danxi emphasized on one hand that human body is placed on a state of external heat inside the cold, and on the another, criticized Danxi of failing to fully understand the principle of "Abandon the time and follow the symptoms", a principle which asserts that the cold and warm of medicine should be decided by the symptom itself and not by the season. The value of these contradicting assertions seems to hold true even to this day because it helps us understand that the principles of "Counting Season as a Treatment Factor" and "Abandon the time and follow the symptoms" could be applied with balance in conjunction with each other.

• Journal of the Korea Society of Computer and Information
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• v.5 no.2
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• pp.30-36
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• 2000

The hidden node plays a role of the functional units that classifies the features of input pattern in the given question. Therefore, a neural network that consists of the number of a suitable optimum hidden node has be on the rise as a factor that has an important effect upon a result. However there is a problem that decides the number of hidden nodes based on back-propagation learning algorithm. If the number of hidden nodes is designated very small perfect learning is not done because the input pattern given cannot be classified enough. On the other hand, if designated a lot, overfitting occurs due to the unnecessary execution of operation and extravagance of memory point. So, the recognition rate is been law and the generality is fallen. Therefore, this paper suggests a method that decides the number of neural network node with feature information consisted of the parameter of learning algorithm. It excludes a node in the Pruning target, that has a maximum value among the feature value obtained and compares the average of the rest of hidden node feature value with the feature value of each hidden node, and then would like to improve the learning speed of neural network deciding the optimum structure of the multi-layer neural network as pruning the hidden node that has the feature value smaller than the average.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.21 no.2
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• pp.301-308
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• 2017

With the popularization of smart phones and the development of the Internet, many people use smart phones to conduct identity verification procedures. smart phones are easier and faster to authenticate than personal desktop computers. However, as Internet hacking technology and malicious code distribution technology rapidly evolve and attack types become more diverse, authentication methods suitable for mobile environment are required. As authentication methods, there are methods such as possessive-based authentication, knowledge-based authentication, biometric-based authentication, pattern-based authentication, and multi-element authentication. In this paper, we propose a user authentication mechanism that uses collected information as authentication factor using smart phone. Using the proposed authentication mechanism, it is possible to use the smart phone information and environment information of the user as a hidden authentication factor, so that the authentication process can be performed without being exposed to others. We implemented the user authentication system using the proposed authentication mechanism and evaluated the effectiveness based on applicability, convenience, and security.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2005.06a
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• pp.1958-1962
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• 2005

A driver's emotion is a very important factor of safe driving. This paper classified a driver's emotion into 3 major emotions, can be occur when driving a car: Surprise, Joy, Tired. And It evaluated the classifier using Hidden Markov Models, which have observation sequence as bio-signals. It used the 2-D emotional plane to classfiy a human's general emotion state. The 2-D emotional plane has 2 axes of pleasure-displeasure and arsual-relaxztion. The used bio-signals are Galvanic Skin Response(GSR) and Heart Rate Variability(HRV), which are easy to acquire and reliable. We classified several moving pictures into 3 major emotions to evaluate our HMM system. As a result of driving simulations for each emotional situations, we can get recognition rates of 67% for surprise, 58% for joy and 52% for tired.