• The Journal of Korean Society of Virology
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• v.29 no.2
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• pp.55-64
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• 1999

In Yugoslavia, hemorrhagic fever with renal syndrome (HFRS) is one of the important national health problem, but no vaccine has been used to prevent HFRS. Since first HFRS case in 1952, sporadic cases of HFRS occurred every year and over 4,000 registered cases with $1{\sim}16%$ mortality so far. We performed a prospective, randomized double-blind placebo-controlled trial to evaluate the effectiveness of $Hantavax^{TM}$ against HFRS in 3,900 healthy adults living in the endemic areas of Yugoslavia. 1,900 people were given 0.5 ml of Hantavax subcutaneously twice at one month interval and a booster shot at one year after. For controls other 2,000 healthy people were given 0.5 ml of physiolosical saline as a placebo. We investigated HFRS cases in both the vaccinated and nonvaccinated groups by monitoring the program for patient registration in the areas from 1996 to 1998, and the effect of vaccine was analyzed epidemiologically. No confirmed case of HFRS was observed among 1,900 Hantavax vaccinees, while 20 confirmed cases were observed among 2,000 nonvaccinated control group. There were no remarkable side effects among the vaccinees either locally or in general after inoculation of the vaccine. The Hantavax vaccine showed statistically significant protective efficacy against HFRS among Yugoslavian people.

• Journal of Korea Entertainment Industry Association
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• v.13 no.8
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• pp.231-242
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• 2019

(2014) directed by British-born second generation Iranian-American Ana Lily Amirpour, set in 'the Iranian ghost-town Bad City' attempts to make how the hybridization of multi-cultures makes interesting interpretations culture-politically, presenting a female vampire skateboarding in a striped t-shirt and a black chador. In traditional horror films, mainly male-Dracula was the center of the vampire narrative as other, but since the post-modernism era, vampire films try to shift women from the passive and dependent victim to the subjective and independent main agent. And the main character of the film, 'The Girl' who is a female Muslim vampire takes a step forward to punish men who commit gender violence. Shot in black and white, the film puts images ahead of narrative, while featuring Iranian actors, speaking Farsi. Furthermore, the film crosses over Iranian politics into American-European pop cultures with this eclectic mix of Iran's rock, British electro-pop and Ennio-Morricone-like western stylings. This study focuses on the style featured in which has successfully transformed and transplanted a vampire story into a critical contemporary discourse, mixing multiple genres and citing cultural trends while not following the traditional conventions of vampire films.

• Geophysics and Geophysical Exploration
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• v.26 no.2
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• pp.37-51
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• 2023

The ground roll is the most common coherent noise in land seismic data and has an amplitude much larger than the reflection event we usually want to obtain. Therefore, ground roll suppression is a crucial step in seismic data processing. Several techniques, such as f-k filtering and curvelet transform, have been developed to suppress the ground roll. However, the existing methods still require improvements in suppression performance and efficiency. Various studies on the suppression of ground roll in seismic data have recently been conducted using deep learning methods developed for image processing. In this paper, we introduce three models (DnCNN (De-noiseCNN), pix2pix, and CycleGAN), based on convolutional neural network (CNN) or conditional generative adversarial network (cGAN), for ground roll suppression and explain them in detail through numerical examples. Common shot gathers from the same field were divided into training and test datasets to compare the algorithms. We trained the models using the training data and evaluated their performances using the test data. When training these models with field data, ground roll removed data are required; therefore, the ground roll is suppressed by f-k filtering and used as the ground-truth data. To evaluate the performance of the deep learning models and compare the training results, we utilized quantitative indicators such as the correlation coefficient and structural similarity index measure (SSIM) based on the similarity to the ground-truth data. The DnCNN model exhibited the best performance, and we confirmed that other models could also be applied to suppress the ground roll.

• Korea Trade Review
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• v.42 no.1
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• pp.257-281
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• 2017

It becomes a common feature of business practices in International Trade to use a standard terms for the formation of their contracts. However, because of differences in legal systems, business practices and so on in their own countries, there have been many conflicts and disputes happening between parties concerned in International Trade. The CISG, which has long been used as the governing law in many cases of International Trade, could not be free from those conflicting issues in its usage and application. This study analyzes the "Black Letter Rules" which was adopted by CISG Advisory Council in 2013 to provide an effective way of resolving the conflicting issues regarding the inclusion of standard terms in International Trade Contracts under the CISG. This study scrutinizes, the relevant rules and requirements for the inclusion of standard terms into a contract. It also deals with the offeror's duty of making clear reference to the standard terms, transmitting the contents of standard terms to the other party. As the other rules for the inclusion of standard terms, this study reviews the principle of denying the inclusion of standard terms after the formation of contracts, exclusion of surprising or unusual terms, preference of individually negotiated terms to the standard terms, contra preferentum rule and preference of the "knock-out rule" to "last-shot rule" in resolving the issue of so called, "Battle of Forms." Lastly, on the basis of analyzed opinion, this study suggests the practical implications for the people working at International Trade-related business sector to facilitate International Trade.

• Journal of the Korean Recycled Construction Resources Institute
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• v.11 no.4
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• pp.433-439
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• 2023

In this study, the bonding performance of repair materials was evaluated on concrete repair surface to develop concrete repair materials based on UHPC (Ultra High Performance Concrete) which has high mechanical and durability performance. The ten test variables were applied considering the roughness and wet condition of the concrete surface subject to repair, the addition of polymer, and the use PP and PVA fibers in repair materials. The addition of the polymer caused a significant decrease in strength, which was thought to be due to the effect of the additional super plasticizer used to adjust workability. Also, flow was reduced by up to 13.8 % with the use of plastic-based fibers. As a result of evaluating the bond strength of the repair material considering the condition of the surface subject to repair, it was thought that in the case of using UHPC-based repair material, high bonding performance could be secured without any additional surface treatment as long as the surface of the base material was sound. In addition, UHPC-based repair materials showed high bonding performance even when the attachment surface was wet. In the future, research will be conducted on shot-crete application and gradient pouring for the development of UHPC-based repair materials, and continuous improvement in the repair material mixing property will be carried out to ensure economic efficiency and performance as a concrete structural repair material.

• Journal of Intelligence and Information Systems
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• v.29 no.4
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• pp.165-184
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• 2023

Recently, Deep learning analysis of unstructured text data using language models, such as Google's BERT and OpenAI's GPT has shown remarkable results in various applications. Most language models are used to learn generalized linguistic information from pre-training data and then update their weights for downstream tasks through a fine-tuning process. However, some concerns have been raised that privacy may be violated in the process of using these language models, i.e., data privacy may be violated when data owner provides large amounts of data to the model owner to perform fine-tuning of the language model. Conversely, when the model owner discloses the entire model to the data owner, the structure and weights of the model are disclosed, which may violate the privacy of the model. The concept of offsite tuning has been recently proposed to perform fine-tuning of language models while protecting privacy in such situations. But the study has a limitation that it does not provide a concrete way to apply the proposed methodology to text classification models. In this study, we propose a concrete method to apply offsite tuning with an additional classifier to protect the privacy of the model and data when performing multi-classification fine-tuning on Korean documents. To evaluate the performance of the proposed methodology, we conducted experiments on about 200,000 Korean documents from five major fields, ICT, electrical, electronic, mechanical, and medical, provided by AIHub, and found that the proposed plug-in model outperforms the zero-shot model and the offsite model in terms of classification accuracy.

• Journal of IKEEE
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• v.28 no.1
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• pp.97-103
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• 2024

Some drugs can offer far better medical effectiveness as it is injected through the intradermal layer of the skin, known as a needle-free injection. However, conventional needle-free devices might deliver a relatively large amount of drug in a just single spot of skin, splitting open the tissue layer structure, which might cause bruising and bleeding. By injecting the small volume with a fast repetition rate in a large surface area of skin, the patient may get much fewer injuries and pain. To achieve that specification, the driving force must be instantaneous and short-pulsed. Such a form of an injection device has been developed but the efficacy of those devices has been rarely examined. Therefore, this study developed the laser-induced microjet device that ejects microjet whose speed is ~310 m/s, during the 400~800 ㎲ of pulse time. The device can eject ~1 µL of the drug at the rate at which each shot repeated 10 shots per second. Using this specification, we evaluated the efficacy of drug injection onto mouse models. After injecting the insulin solution into the mouse model, the blood insulin level is detected, resulting in 20 % of blood insulin level with the ordinary needle syringe injection method.

• Journal of Intelligence and Information Systems
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• v.19 no.4
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• pp.81-96
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• 2013

Video information retrieval has become a very important issue because of the explosive increase in video data from Web content development. Meanwhile, content-based video analysis using visual features has been the main source for video information retrieval and browsing. Content in video can be represented with content-based analysis techniques, which can extract various features from audio-visual data such as frames, shots, colors, texture, or shape. Moreover, similarity between videos can be measured through content-based analysis. However, a movie that is one of typical types of video data is organized by story as well as audio-visual data. This causes a semantic gap between significant information recognized by people and information resulting from content-based analysis, when content-based video analysis using only audio-visual data of low level is applied to information retrieval of movie. The reason for this semantic gap is that the story line for a movie is high level information, with relationships in the content that changes as the movie progresses. Information retrieval related to the story line of a movie cannot be executed by only content-based analysis techniques. A formal model is needed, which can determine relationships among movie contents, or track meaning changes, in order to accurately retrieve the story information. Recently, story-based video analysis techniques have emerged using a social network concept for story information retrieval. These approaches represent a story by using the relationships between characters in a movie, but these approaches have problems. First, they do not express dynamic changes in relationships between characters according to story development. Second, they miss profound information, such as emotions indicating the identities and psychological states of the characters. Emotion is essential to understanding a character's motivation, conflict, and resolution. Third, they do not take account of events and background that contribute to the story. As a result, this paper reviews the importance and weaknesses of previous video analysis methods ranging from content-based approaches to story analysis based on social network. Also, we suggest necessary elements, such as character, background, and events, based on narrative structures introduced in the literature. We extract characters' emotional words from the script of the movie Pretty Woman by using the hierarchical attribute of WordNet, which is an extensive English thesaurus. WordNet offers relationships between words (e.g., synonyms, hypernyms, hyponyms, antonyms). We present a method to visualize the emotional pattern of a character over time. Second, a character's inner nature must be predetermined in order to model a character arc that can depict the character's growth and development. To this end, we analyze the amount of the character's dialogue in the script and track the character's inner nature using social network concepts, such as in-degree (incoming links) and out-degree (outgoing links). Additionally, we propose a method that can track a character's inner nature by tracing indices such as degree, in-degree, and out-degree of the character network in a movie through its progression. Finally, the spatial background where characters meet and where events take place is an important element in the story. We take advantage of the movie script to extracting significant spatial background and suggest a scene map describing spatial arrangements and distances in the movie. Important places where main characters first meet or where they stay during long periods of time can be extracted through this scene map. In view of the aforementioned three elements (character, event, background), we extract a variety of information related to the story and evaluate the performance of the proposed method. We can track story information extracted over time and detect a change in the character's emotion or inner nature, spatial movement, and conflicts and resolutions in the story.

• Korean Journal of Weed Science
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• v.32 no.1
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• pp.57-69
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• 2012

This study was conducted to find the effective management of main weeds including herbicide-resistant Echinochloa oryzicola, Scirpus juncoides and Monochoria vaginalis in direct seeded rice on puddled paddy surface. The dominant dominances in direct seeded rice on puddled paddy surface were increased for three years between 2009-2011. In weed distribution in 2011, the occurrence density of S. juncoides decreased greatly, but it of E. oryzicola increased especially as compared with it of 2009. Benzobicyclon, mesotrione and pyrimisulfan were effective to sulfonylurea(SU)-resistant S. juncoides and M. vaginalis at 5 and 12 days after seeding, however, the efficacy of bromobutide to sulfonylurea-resistant M. vaginalis was decreased slightly at 12 days after seeding. And carfentrazon and pyrazolate were ineffective to S. juncoides. In direct seeded rice on puddled paddy surface which ACCase and ALS inhibitor-resistant E. oryzicola was not occurred, benzobicyclon+penoxsulam+pyrazosulfuron-ethyl ET, bromobutide+imazosulfuron+metamifop GR, and flucetosulfuron+mesotrione+pretilachlor GR showed the control effect over 94% to main weeds included sulfonylurea-resistant S. juncoides and M. vaginalis. The E. oryzicola dominating in direct seeded rice on puddled paddy surface were not any affected to the survival by treatment with recommended doses of cyhalofop-butyl and penoxsulam tested. The ACCase and ALS inhibitor-resistant E. oryzicola was effectively controlled by mefenacet and fentrazamide up to the 2nd leaf stage. In direct seeded rice on puddled paddy surface domiating coincidentally by herbicide-resistant E. oryzicola, S. juncoides and M. vaginalis, "one-shot herbicide" included with mefenacet, fentrazamide, penoxsulam and metamifop could't be used because of low control effect or rice injury. The sequential treatment of benzobicyclon+thiobencarb SE and bensulfuron+mefenacet+thiobencarb GR controlled effectively the herbicide-resistant E. oryzicola, S. juncoides and M. vaginalis in direct seeded rice on puddled paddy surface. The days required by the 3rd leaf stage of herbicide-resistant E. oryzicola, S. juncoides and M. vaginalis in direct seeded rice on puddled paddy surface seeded in May 20 shortened by 4 days as compared with it of June 10.

• Korean Journal of Heritage: History & Science
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• v.56 no.2
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• pp.12-26
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• 2023

Recently, 『Gyeongja(庚子)/Daetongryeok(大統曆)』(1600), a memorandum record of Yu Seong-ryong during the reign of King Seonjo(宣祖) of the Joseon Dynasty, was returned to Korea from Japan, and about 4,000 letters in cursive characters have been interpreted by Ro Seung-suk. The contents for 203 days written in the margin of 『Gyeongja(庚子)/Daetongryeok(大統曆)』 are mostly new, and are meaningful in understanding Yu's life and social association circumstances. There are daily routines of each day, contemporary figures, diseases and oriental medicine prescriptions. In particular, the combat record of Admiral Yi Sun-shin in 83 letters on the cover is very important to understand the situation in those days. It seems that the reason for writing the combat situations a year and a few months after Admiral Yi died in war was to honor his distinguished military service for a long time by King Seonjo's order according to the public opinion of the royal court. The record can be classified into two categories. First, Admiral Yi sighed when he heard about Yu's dismissal from the office in Gogeumdo, and was always alert with clear water on the boat after the Battle of Waekyo Castle. Second, he was killed by bullets shot by the enemy while directly encouraging battle, not listening to his men who tried to dissuade him from leading the naval battle at Noryang. This only contained contents of devoting his life desperately, which is an important proof of the theory of his death in war. It also contains nine methods for making liquor and another method that wasn't known to the public, and seems to include popular alcohol brewing methods or newly devised ones. In addition, there is a detail that Heo Jun, the author of 『Donguibogam』, introduced medicine to Yu, along with being unable to attend ancestral rites and relieving the poor written in red. There are also stories about Kang Hang(姜沆) returning to Korea after being captured by Japan and Lee Deok-hong(李德弘)'s son, who introduced Gugapseondo(龜甲船圖, the first picture of the Turtle Ship in Korea) to King Seonjo. In the light of the above, 『Gyeongja(庚子)/Daetongryeok(大統曆)』is an important historical record to empirically research not only figures related to Yu but also the circumstances of those days since it contains new facts that are not in the existing literature. In particular, the big accomplishment of this study is to correct the mistakenly known theory of Admiral Yi's suicide and to find out the new fact that Heo Jun provided medical information. In this respect, this book is expected to serve as a testament to the future study of the history and characters related to Yu in the mid-Joseon period.