• Science of Emotion and Sensibility
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• v.26 no.2
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• pp.129-140
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• 2023

Following ISO 20471, in this study, first, two sets of safety clothes and safety vests were made by designing and attaching animal and bird patterns preferred by children to retroreflective films and black fabrics on those fluorescent fabrics and retroreflective materials prescribed by international standards. Second, by mounting a smart photonic device on the safety clothing so that the body can be recognized from a distance even without an ambient light source at night, children can emit three types of light depending on the situation with just one-touch of the button. From a result of comparison with visibility a day and night by dressing a mannequin in the made smart safety clothing, the difference in visibility was evident at night, it was confirmed that we can see the figure of a person even at a distance of approximately 70 m. Therefore, it is expected to contribute to the prevention of traffic and other accidents on the road, as the drivers driving at night or in bad weather can recognize a person from a distance. Third, in case of the energy is exhausted and cannot maintain the stability of the light-emitting function of the optical faber, we can use energy harvesting device, and the light-emitting time will be extended. As a result it comes up to emit light stably for a long time. And this prove that smart photonic safety clothing can also be used for night workers. Therefore, optical fiber safety clothing is expected to be highly wearable not only in real life but also in dark industrial sites due to stable charging by applying the energy harvesting provided by solar cells.

• Progress in Medical Physics
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• v.20 no.4
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• pp.216-224
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• 2009

$^{131}I$ is a radiological isotope being used widely for treatment of cancer as emitting gamma-ray and it is also applied to estimate the function of thyroid for its accumulation in thyroid. However, $^{131}I$ is more difficult to quantitate comapred to $^{99m}Tc$, because $^{131}I$ has multiple energy gamma-ray emissions compared to $^{99m}Tc$ which is a mono energetic gamma-ray source. Especially, scattered ray and septal penetration resulted by high energy gamma ray have a bad influence upon nuclear medicine image. The purpose of this study was to estimate scatter components depending on the different source locations within a phantom using Monte Carlo simulation (GATE). The simulation results were validated by comparing with the results of real experiments. Dual-head gamma camera (ECAM, Chicago, Illinois Siemens) with high energy, general-purpose, and parallel hole collimators (hole radius: 0.17 cm, septal thickness: 0.2 cm, length: 5.08 cm) was used in this experiment. The NaI crystal is $44.5{\times}59.1\;cm$ in height and width and 0.95 cm in thickness. The diameter and height of PMMA phantom were 16 cm and 15 cm, respectively. The images were acquired at 5 different locations of $^{131}I$ point source within the phantom and the images of $^{99m}Tc$ were also acquired for comparison purpose with low energy source. The simulation results indicated that the scattering was influenced by the location of source within a phantom. The scattering effects showed the same tendency in both simulation and actual experiment, and the results showed that the simulation was very adequate for further studies. The results supported that the simulation techniques may be used to generalize the scattering effects as a function of a point source location within a phantom.

• Journal of Yeungnam Medical Science
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• v.8 no.2
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• pp.150-157
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• 1991

The purpose of the this study was to assess the morbidity pattern of urban residents in the poor area by health screening for the community diagnosis. The items of health screening were history taking and physical examination by medical doctor and hearing test, check blood pressure, test for hematocrit, liver function(sGOT, sGPT), urine sugar and protein, and chest X-ray. The examinee in health screening were 437 persons and they occupied 16.9% of total residents in the poor area. Male examinee were 129 persons(9.9% of total residents) and female examinee were 308 persons(23.9% of total residents). Age group of above sixty years old, 42.0% of total residents in the poor area were participated, but only 5.9% were participated in age group of 10 to 19 years old. Among the 437 examinee, 191 persons(43.7%) had one or more abnormal findings in health screening. In male 38.7% had abnormal findings, and some what lower than that of female(45.8%). Age group of above sixty years had most high rate of abnormal findings(69.8%), in contrast to age group of 10 to 19 years old (10.9%). Diseases of the digestive system was the most common and which occupies 23.7% of total abnormal findings. And diseases of the circulatory system occupied 19.7%. Low hematocrit(14.6% of total participants of 437 persons) occupies the most common abnormal findings for screening test(hematocrit, blood pressure, hearing test, sGOT/sGPT, urine protein and urine sugar, chest X-ray) and high blood pressure(10.1%) occupied second, third; hearing impairment (5.5%), fourth ; abnormal liver function (4.1%), fifth ; sugar in urine (2.3%), sixth ; protein in urine(1.4%) and lastly abnormal chest X-ray (0.9%). The positive rate of abnormal findings in health screening was very high compared with morbidity rate by health interview. It is supposed that some portion of this high rate is by selection bias in examinee in health screening specially high participating rate in older age, and the other portion is due to the low socioecomic status and bad environment of the residents of the poor area. These findings will be good information for the research and development of health care system in the urban poor area.

• Tuberculosis and Respiratory Diseases
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• v.51 no.6
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• pp.540-549
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• 2001

Background : Usual interstitial pneumonia (UIP) is a progressive fibrous lung disease with occasional fatal outcomes. However, the extent and rate of progression varies markedly from one patient to another. As a result, it is difficult to determine the time of the initial treatment and assess the disease activity and course. Fibroblast foci (FF) is well known to synthesize collagen actively by their myofibroblasts component. However, the prognostic value of the FF have not been evaluated in patients with VIP. Therefore this study was undertaken to determine how the number of fibroblastic foci can reflect the disease activity and progression. Methods: Twenty patients with UIP(M : F=13 : 7), who were diagnosed by a surgical lung biopsy. The number of fibroblastic foci was analyzed in terms of its correlation with the clinical manifostations, pulmonary function test, arterial blood gas analysis, and a bronchoalveolar lavage(BAL). Results : The number of fibroblastic foci did not correlate with the various lung function tests and the other clinical parameters. Interestingly, the percentage of neutrophils in the bronchoalveolar lavage fluid did correlate with the quantity of the normalized Vv of FF(r=0.60, p<0.05). The patients were divided into 2 groups, group I and II, arbitrarily, according to the value of the normalized Vv. The clinical parameters and the PIT results were not different between the two groups. In particular, the survival rate between the two groups according to the Kaplan-Meier analysis were not different. Conclusion : A large number of FF does not imply a bad prognosis in patients with UIP.

• Journal of Intelligence and Information Systems
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• v.25 no.2
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• pp.25-38
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• 2019

Selecting high-quality information that meets the interests and needs of users among the overflowing contents is becoming more important as the generation continues. In the flood of information, efforts to reflect the intention of the user in the search result better are being tried, rather than recognizing the information request as a simple string. Also, large IT companies such as Google and Microsoft focus on developing knowledge-based technologies including search engines which provide users with satisfaction and convenience. Especially, the finance is one of the fields expected to have the usefulness and potential of text data analysis because it's constantly generating new information, and the earlier the information is, the more valuable it is. Automatic knowledge extraction can be effective in areas where information flow is vast, such as financial sector, and new information continues to emerge. However, there are several practical difficulties faced by automatic knowledge extraction. First, there are difficulties in making corpus from different fields with same algorithm, and it is difficult to extract good quality triple. Second, it becomes more difficult to produce labeled text data by people if the extent and scope of knowledge increases and patterns are constantly updated. Third, performance evaluation is difficult due to the characteristics of unsupervised learning. Finally, problem definition for automatic knowledge extraction is not easy because of ambiguous conceptual characteristics of knowledge. So, in order to overcome limits described above and improve the semantic performance of stock-related information searching, this study attempts to extract the knowledge entity by using neural tensor network and evaluate the performance of them. Different from other references, the purpose of this study is to extract knowledge entity which is related to individual stock items. Various but relatively simple data processing methods are applied in the presented model to solve the problems of previous researches and to enhance the effectiveness of the model. From these processes, this study has the following three significances. First, A practical and simple automatic knowledge extraction method that can be applied. Second, the possibility of performance evaluation is presented through simple problem definition. Finally, the expressiveness of the knowledge increased by generating input data on a sentence basis without complex morphological analysis. The results of the empirical analysis and objective performance evaluation method are also presented. The empirical study to confirm the usefulness of the presented model, experts' reports about individual 30 stocks which are top 30 items based on frequency of publication from May 30, 2017 to May 21, 2018 are used. the total number of reports are 5,600, and 3,074 reports, which accounts about 55% of the total, is designated as a training set, and other 45% of reports are designated as a testing set. Before constructing the model, all reports of a training set are classified by stocks, and their entities are extracted using named entity recognition tool which is the KKMA. for each stocks, top 100 entities based on appearance frequency are selected, and become vectorized using one-hot encoding. After that, by using neural tensor network, the same number of score functions as stocks are trained. Thus, if a new entity from a testing set appears, we can try to calculate the score by putting it into every single score function, and the stock of the function with the highest score is predicted as the related item with the entity. To evaluate presented models, we confirm prediction power and determining whether the score functions are well constructed by calculating hit ratio for all reports of testing set. As a result of the empirical study, the presented model shows 69.3% hit accuracy for testing set which consists of 2,526 reports. this hit ratio is meaningfully high despite of some constraints for conducting research. Looking at the prediction performance of the model for each stocks, only 3 stocks, which are LG ELECTRONICS, KiaMtr, and Mando, show extremely low performance than average. this result maybe due to the interference effect with other similar items and generation of new knowledge. In this paper, we propose a methodology to find out key entities or their combinations which are necessary to search related information in accordance with the user's investment intention. Graph data is generated by using only the named entity recognition tool and applied to the neural tensor network without learning corpus or word vectors for the field. From the empirical test, we confirm the effectiveness of the presented model as described above. However, there also exist some limits and things to complement. Representatively, the phenomenon that the model performance is especially bad for only some stocks shows the need for further researches. Finally, through the empirical study, we confirmed that the learning method presented in this study can be used for the purpose of matching the new text information semantically with the related stocks.

• Journal of Korean Medical classics
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• v.6
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• pp.252-305
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• 1993

I have studied the relation between a Taoist(道家) and the oriental medicine(韓醫學), it is summerized as following. 1. According to the relation between a Taoist(道家) and the oriental medicine, Lao-tzu(老子)' mathematical principle that had an influence on Three yin-three yang(三陰三陽) theory of the oriental medicine, idea of natural philosopy(自然無爲) and the freedom from avarace(無慾) on the oriental medicine. 2. Vital essence and energy theory(精氣設) in a Taoist not only can be seen in Lao-tzu' Do dug gyung(老子道德經), Maengza(孟子), Guanza(管子), but also its principle has something to do with Nei Ching's Vital essence and energy theory(精氣設). 3. Danjungpa(丹鼎派) can be divided into Naedansul(內丹術) which preserves through the breath and Oedansul(外丹術) which makes one a Taoist hermit. If he takes magic portions(金丹), they had a great effect on Yangsanghak(養生學) and was actually concerned with oriental doctors who was known to us. 4. If medicine of Taoism is classified, it can be divided into three categories. Boiled solution(渴液), Pharmacopea "Ben cao"(本草), Acupuncture & moxibustion(針灸), Magic portions(外丹) are used in the first category. Chinese setting-up and Therapeutic exercises(導引), Josik(調息), Naedan(內丹), Byugok(辟榖), Naeshi(內視), Banjung(房中) belong to second category. The religious contents such as Bu(符), Jeum(占), Cheum(籤), Ju(呪), Je(齊), Gido(祈禱), taboo are implied in third category. 5. In the history of the medicine of Taoism and oriental medicine, they are called animism, shamanism, Mu(巫) or Ye(毉), not separated at first period. In the end of junguk(戰國時代), Ye(醫) was clearly distinguished from Mu(巫) and then Mu(巫) was developed into medicine of Taoism and ye(毉) into the present form of oriental medicine. 6. The oriental medicine doctors that are concerned with Taoism are Bakgo(伯高), Geyugu(鬼臾區), Soyu(少兪), Noigong(雷公), Pyujak(篇鵲), Sunuyi(淳于意), Hwata(華陀), Hwangbomil(皇甫謐), Hangang(韓康), Dongbong(童奉), Heuson(許遜), Galhong(葛洪), Dohongyung(陶弘景), Damlan(曇鸞), uyjajang(葦慈藏), Sonsanak(孫思邈), Wanguing(王氷), Jegonghwalbul(濟公活佛), Yuwanso(劉完素), Judonge(朱丹溪), Leesijin(李時珍), Johakmin(趙學敏), Ougu1(吳杰) etc. 7. The view of a human body in the medicine of Taoism affected the oriental medicine on the ground that man was regarded as a microcosm(小宇宙), so he was compared to a nation or heaven and earth. 8. The anatomy of medicine of Taoism gave a detail description of five visceras and each organs, the heart, center of mental function, Mirie(尾閭) which has an relationship to the training of Naedan(內丹修練). In this resrect, as it is accord with the acupunture point of oriental medicine, therefore we can find that Taoism influenced oriental medicine, also explicit study was achieved. 9. Acient people believed that the goo in the human lxxIy, one of the characteristics of the medicine of Taoism cured the patients and then protected him from the disease. If a man was taken ill, they had him cured by making the god's name which corresponded to its disease, calling him communicating with him, and asking him to deprive him of illness. This treatment was used to live and be kept young eternally. In this respects, we can see that they emphasized on the attitude of Bulchiyibeung chimibeung(不治己病治末病) and psychological treatment. 10. Samsi thoery(三尸說) that one's fortune, disaster, health, and disease in the world are at the mercy of his good or bad conduct, is concerned with Taoism and treatment with the oriental medicine. 11. Guchung(九蟲) is more closly associated with the religious aspect rather than with the medical aspect. Because of the similarity of the mcdern parasitism, its study has an important meaning. 12. The respect for the human life is reflected in jeunsi(傳屍), with Samsi-guchung theory(三尸九蟲說), which is considered as mxIern tuberculosis.

• Tuberculosis and Respiratory Diseases
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• v.57 no.4
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• pp.320-328
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• 2004

Background : Pulmonary vascular changes which occur early in the course of chronic obstructive pulmonary disease (COPD) are prevalent manifestation and later cause pulmonary hypertension, which is a bad prognostic factor in COPD. Beraprost sodium (BPS), an orally active prostacyclin analogue, has been shown to improve survival in patients with primary pulmonary hypertension. This study investigated the effect of BPS in the patients with COPD. Methods : This is a double-blind randomized placebo-controlled, two center clinical trial. Twenty one consecutive patients with COPD were enrolled from June 2003 to June 2004 (patients treated with BPS for 3 months, BPS group, n=11; those with placebo, placebo group, n=10). The baseline demographic, pulmonary function and hemodynamic data were not significantly different between two groups. Results : On echocardiographic examination, trans tricuspid valve pressure gradient has decreased significantly after 3 months with beraprost in the BPS group [17.7(${\pm}11.4$) to 8.2(${\pm}8.9$) mm Hg, p-value<0.05], while there was no significant change in the control group. Six-minute walking distance has decreased in the control group and increased in the BPS group, but there was no statistical significance. Conclusion : In patients with COPD oral administration of BPS reduced the pulmonary arterial pressure. The clinical significance of this finding, that is improving symptoms and natural course of the disease, needs further study.

• Journal of Intelligence and Information Systems
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• v.23 no.2
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• pp.1-17
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• 2017

The deep learning framework is software designed to help develop deep learning models. Some of its important functions include "automatic differentiation" and "utilization of GPU". The list of popular deep learning framework includes Caffe (BVLC) and Theano (University of Montreal). And recently, Microsoft's deep learning framework, Microsoft Cognitive Toolkit, was released as open-source license, following Google's Tensorflow a year earlier. The early deep learning frameworks have been developed mainly for research at universities. Beginning with the inception of Tensorflow, however, it seems that companies such as Microsoft and Facebook have started to join the competition of framework development. Given the trend, Google and other companies are expected to continue investing in the deep learning framework to bring forward the initiative in the artificial intelligence business. From this point of view, we think it is a good time to compare some of deep learning frameworks. So we compare three deep learning frameworks which can be used as a Python library. Those are Google's Tensorflow, Microsoft's CNTK, and Theano which is sort of a predecessor of the preceding two. The most common and important function of deep learning frameworks is the ability to perform automatic differentiation. Basically all the mathematical expressions of deep learning models can be represented as computational graphs, which consist of nodes and edges. Partial derivatives on each edge of a computational graph can then be obtained. With the partial derivatives, we can let software compute differentiation of any node with respect to any variable by utilizing chain rule of Calculus. First of all, the convenience of coding is in the order of CNTK, Tensorflow, and Theano. The criterion is simply based on the lengths of the codes and the learning curve and the ease of coding are not the main concern. According to the criteria, Theano was the most difficult to implement with, and CNTK and Tensorflow were somewhat easier. With Tensorflow, we need to define weight variables and biases explicitly. The reason that CNTK and Tensorflow are easier to implement with is that those frameworks provide us with more abstraction than Theano. We, however, need to mention that low-level coding is not always bad. It gives us flexibility of coding. With the low-level coding such as in Theano, we can implement and test any new deep learning models or any new search methods that we can think of. The assessment of the execution speed of each framework is that there is not meaningful difference. According to the experiment, execution speeds of Theano and Tensorflow are very similar, although the experiment was limited to a CNN model. In the case of CNTK, the experimental environment was not maintained as the same. The code written in CNTK has to be run in PC environment without GPU where codes execute as much as 50 times slower than with GPU. But we concluded that the difference of execution speed was within the range of variation caused by the different hardware setup. In this study, we compared three types of deep learning framework: Theano, Tensorflow, and CNTK. According to Wikipedia, there are 12 available deep learning frameworks. And 15 different attributes differentiate each framework. Some of the important attributes would include interface language (Python, C ++, Java, etc.) and the availability of libraries on various deep learning models such as CNN, RNN, DBN, and etc. And if a user implements a large scale deep learning model, it will also be important to support multiple GPU or multiple servers. Also, if you are learning the deep learning model, it would also be important if there are enough examples and references.

• Journal of Korean Medical classics
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• v.12 no.2
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• pp.56-71
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• 1999

1. In the recohnition of cosmos true form, It is compared to the Boundless(無極) the Great Absolute(太極),Yin and Yang(兩儀) throungh the fertilazation process of spermatozoon and ovum. 2. It is explained that principle of unchange through the Form and Action(體 用) relation of the outer appearances and Number (象數) with matching the number of nine and ten to HaDoo(河圖) and RakSye(洛書). 3. Eigth divinations(八卦) being compared to the human body, Care presevation of pregnancy(養胎) is explained that head forms firstly(Gun-I 1乾一), secondly lung(Tae-E 兌二), heart(E-Sam 離三), liver(Jin-Sa 震四), gall bladder(Son-Oo 巽五), kidney(Gam-Yuk 坎六), intestines and stomach(Gan-Chill 艮七), lastly flesh forms(Gon-Pal 坤八). 4. It is explained that process of physiological change of $\ll$Nei Ching The Natural Truth in Ancient Times$\gg$(內經 上古天眞論) by matching boy at the age of 8 to Gan-divination(艮卦), and girl at the age of 7 to Tae-divination(兌卦). 5. The theory of six sons from Gun-Gon(乾坤六子論) is explained by relation of Apriority Eight-divination(先天八卦) obedience and disobedience-left and right. 6. It is explained that form of the human-body and the relationship of the Heart - the Kidney through the Gam(坎) Li(離) - divination 7. The effort of interpretating time and space of the Twelve Horary signs is explanined by season, direction, Five elements(五行), rise and decline, the Three Sum(三合), the Six Sum (六合), the six crash(六衡)'s relation. 8. the process of change from apriority(先天) to postery(後天) in the book of Changes(周易) is explanined by comparing to the phenomenum of nature and the human body. 9. The Energy Satus(氣位) are different from the direction of Eight-divination(八卦) and the properties of the good or bad of herb-drugs are differnt from the place of production. 10. The rightness of realizating the Overlapping-divinations(重卦) are compared to the phenomenum of nature through the Divination Virture(卦德). 11. The dependence-relations of The Twelve Meridians(十二經脈) are explained by-matching January with liver meridian, February with gall bladder meridian, march with heart pericardium meridiam, April with small intestine meridkan, August with lung spleen meridian, jury with stomach meridian, August with lung meridian, September with large intestine meridian, October with urinary bladder meridianm November with kidney meridian. December with triple energizer meridian throng The Twelve Byuk-divination. 12. The process of menstration cycle is explained by The Month symbolizing-divination(月候卦). 13. Through The Trade(交易) prove the reason of feverish sympotoms to use feverish Drug, mill sympotoms to use mill drug of prescription and Heart-Kidneys Consensus(心賢相交) and through The Change(變易), prove the chill and feverish consensus of forechill after feverish, fore feverish after chill and through. The Non-Change(不易) explain the reason of chill sympotoms to use feverish drug, feverish sympotoms to use chill drug of prscription. 14. Ho-divination(互卦) applicate Jxa Sa(佐使) herb drug match of Kun Sin Jwa Sa() theory. 15. According to the Hyo-position(爻位) match the ages, body form and drug by matching Ehight-divination(八卦) to the human body form and function in medicine and the book of Changes(周易) application emphasize the human body Ehight-divination(人身八卦). 16. Throgh the Order-divination(序卦) explain the rightness of Divination Image(卦象) arrangement and all things take shape by cosmo-energy conseusus(宇宙氣交). 17. Throgh the Mixing-divination(難卦) supply the vacancy of medicine and the book of Changes(周易) relationship in the foreword explian the human energy movements, sleep, vomitting, the energy arrival(逮氣), heart pericardium(心包), lung membrane(肺膜) etc.... Like the above sentence medicine and the book of Changes(周易) theory of scholar Tang on the viewpoint of easten-the way Western appliance(東道西器) researching abyss of medicine impart to descendants, so I think that the achievement of medicine and the book of Changes(周易) study is very excellant and I expect that the study Korean Oriental Medicine(韓醫學) theory by means of medicine the book of Changes(周易) reference, will be accelarated.

• Journal of Korea Entertainment Industry Association
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• v.14 no.4
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• pp.187-198
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• 2020

With the cultural background of whiteness I did examine the universal meaning of absolute good, the special of psychosis, and the fantastic of femininity and memory/record. As an example I analyzed the symbolic meaning of white used in Korean films. Unconditional goodness, white as a generality: White color in all the films of good-evil confrontation falls into this category. The most obvious and the simplest configuration are the black-white dichotomy. In Nameless Gangster: Rules of Time(2011), The Merciless(2016), Asura: The City of Madness(2016) and The Bad Guys: Reign of Chaos(2019), white is the absolute good but it is not limited to a fair key figure. Paradoxically, black is not given only to the side of absolute evil. White is used to be a flexible visual device that reflects the socio-political situation without changing the meaning of the general good. Psychosis and pills, white as a peculiarity: The visual function that emphasizes sado-masochism in the absolute good and the universal symbol of white extends to psychotic specificities such as hysteria. In all the films creating horror, white symbolizes the mentally disabled and the pill for healing. Femininity and haunted white: White of absolute good is expressed by the socio-cultural tendency of femininity and the black-white contrast of vision is applied to the gender difference. In general the women's sexuality is emphasized in color red, but white is arranged in the background. In TaeGukGi: Brotherhood Of War(2004), 71: Into The Fire(2010), My Way(2011), The Front Line(2011), Roaring Currents(2014), Northern Limit Line(2015), The Battle: Roar to Victory(2019) and Battle of Jangsari(2019), white given to female figures sticks to the traditional femininity such as motherhood, sacrifice and weakness. The concept of specters is applied to desires, memories/records, history, fantasy, virtual/reality and social media images. The film history capturing to list memories and moments brings up the specters of socio-political genealogy. Most of films aiming for socio-political change are its examples and white constituting Mise-en-scene records to remember a historical event in Peppermint Candy(2000), The Attorney(2013) and A Taxi Driver(2017).