• Journal of the Korean Chemical Society
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• v.20 no.5
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• pp.351-357
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• 1976

Adsorption isotherms of benzene and p-xylene on both of Spheron 6 (a graphitized carbon black) and Alucer (Alumina) are obtained at various temperatures using a sensitive quartz beam microbalance. From these isotherms BET plots are made to obtain the molecular areas of these adsorbates. On the Spheron 6, the molecular area of p-xylene remains constant until the temperature is increased up to $19^{circ}C$, increases abruptly at $19^{circ}C$ through $19.2^{circ}C$, and then again remains constant thereafter. On the other hand, adsorbed benzene molecules give a quite temperature-independent molecular area. The results are interpreted as the adsorbed p-xylene molecules and benzene molecules are localized on the adsorbents with compact packing, while it gains a hindered-rotational degree of freedom at the expense of vibrational one at the higher temperatures. This peculiar behavior of adsorption is considered as due to the interactions between benzene rings of adsorbents and graphite surface. Molecular areas of these adsorbates on Alucer M. A. increase gradually with temperature, indicating that the adsorbed molecules are unlocalized.

• Journal of the Korea Computer Graphics Society
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• v.21 no.5
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• pp.11-19
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• 2015

Our research introduces a novel system for creating 3D vehicle animation. Our system is for intuitively authoring vehicle accident scenes according to videos or based on user-drawn trajectories. Our system has been implemented by combining three existing ideas. The first part is for obtaining 3D trajectory of a vehicle from black-box videos. The second part is a tracking algorithm that controls a vehicle to follow a given trajectory with small errors. The last part optimizes the vehicle control parameters so that the error between the input trajectory and simulated vehicle trajectory is minimized. We also simulate the deformation of the car due to an impact to achieve believable results in real-time.

• Journal of Environmental Science International
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• v.26 no.7
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• pp.827-836
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• 2017

Freezing rain is a phenomenon when precipitation falls as a liquid rain drop, but freezes when it comes into contact with surfaces or objects. In this study, we investigated the predictability of freezing rain and its characteristics, which are strongly related with the occurrence of black ice using synoptic scale meteorological observation data. Two different cases occurred at 2012 were analyzed and in the presented cases, freezing rain often occurs in the low-level low pressure with the warm front. The warm front due to the lower cyclone make suitable environment in which snow falling from the upper layer can change into supercooled water. The $0^{\circ}C$ temperature line to generate supercooling water is located at an altitude of 850 hPa in the vertical temperature distribution. And the ground temperature remained below zero, as is commonly known as a condition for black ice formation. It is confirmed that the formation rate of freezing rain is higher when the thickness after 1000-850 hPa is 1290-1310 m and the thickness of 850-700 hPa layer is larger than 1540 m in both cases. It can also be used to predict and estimate the generation of freezing rain by detecting and analyzing bright bands in radar observation.

• Journal of the Korean Institute of Intelligent Systems
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• v.24 no.6
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• pp.665-670
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• 2014

A SVM is a kind of binary classifier in order to find optimal hyperplane which separates training data into two groups. Due to its remarkable performance, the SVM is applied in various fields such as inductive inference, binary classification or making predictions. Also it is a representative black box model; there are plenty of actively discussed researches about analyzing trained SVM classifier. This paper conducts a study on a method that is automatically detecting the line-shaped echoes, sun strobe echo and radial interference echo, using the SVM algorithm because the line-shaped echoes appear relatively often and disturb weather forecasting process. Using a spatial clustering method and corrected reflectivity data in the weather radar, the training data is made up with mean reflectivity, size, appearance, centroid altitude and so forth. With actual occurrence cases of the line-shaped echoes, the trained SVM classifier is verified, and analyzed its characteristics using the decision tree method.

• Journal of Families and Better Life
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• v.32 no.2
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• pp.13-26
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• 2014

The theory of planned behavior proposed by Ajzen predicts that certain behaviors are determined by behavioral intentions which are affected by an attitudinal belief toward the behavior, the subject norms, and the individual's perception of their control over the behavior. This study's aim is to examine consumers' inappropriate complaint behaviors, using the theory of planned behavior. Consumers' inappropriate complaint behaviors are defined by two types, which are low -and high-intensity inappropriate complaint behavior based on the primary data collected from a group of consumer affairs professionals in the business field. The survey questionnaire was administered to 1,000 consumers via an on-line survey. The two models were assessed with path analysis in order to predict consumers' inappropriate complaint behaviors, using the theory of planned behavior. The results are as follows: First, two types of inappropriate compliant behaviors were identified according to the results of an exploratory study conducted by professionals who had been employed at the department of consumer affairs. Second, the theory of planned behavior is adequately fitted to examine the factors related to consumers' inappropriate complaint behaviors. Also, all three variables based on the theory of planned behavior, -perceived behavior control, subjective norm, and attitude-had a significant effect on inappropriate complaint behavior intention. Third, consumers' inappropriate complaint behavior intention played the most significant role in low-intensity inappropriate complaint behavior, whereas attitude was found to play a significant role in high-intensity inappropriate complaint behavior. The significance and implication were discussed in terms of effective customer management strategies.

• Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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• 2008.06a
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• pp.532-532
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• 2008

본 연구에서는 Embedded 기판용 폴리머 후막저항의 허용편차 개선을 위하여 새로운 후막 패터닝 기술을 도입하는 연구를 실시하였다. 기존의 Embedded 기판용 폴리머 후막저항은 스크린 인쇄에 의하여 형성됨에 따라 패턴의 정밀성이 떨어지고 기판 상 위치별 두께편차에 의하여 저항값의 허용편차(tolerance)가 ${\pm}$20~30% 정도로 큰 단점을 가지고 있다. 따라서 경화 후 laser trimming 공정을 필수적으로 동반하게 된다. 이를 개선하기 위하여 본 연구에서는 알칼리 수용액에 현상이 가능한 감광성 레진을 이용하여 폴리머 후막저항 페이스트를 제작하는 것과 함께 기판 전면에 균일한 두께로 인쇄하는 roll coating 방법을 도입하는 실험을 수행하였다. 알칼리 현상형의 감광성 레진 시스템은 노광 및 현상에 의해 정밀한 패턴을 구현할 수 있는 장점을 가지고 있으며, 본 연구에는 A사의 일액형 레진과 T사의 이액형 레진을 사용하였다. 여기에 전도성 필러로서 카본블랙을 첨가하였는데, 그 첨가량의 조절에 따른 후막저항의 시트저항값 변화와 현상 특성을 관찰하였다. 테스트 보드는 FR-4 기판 상에 전극 형상의 동박을 패터닝 후 Ni/Au 도금까지 실시하여 제작하였고, 이 테스트 보드 상에 별도로 제작된 저항 페이스트를 도포한 후 저항체 패턴이 입혀져 있는 Cr 마스크를 이용하여 노광하였다. 이후 현상 공정을 통하여 저항체를 패터닝하고, 이를 $200^{\circ}C$에서 1시간 열경화하는 것으로 후막 저항 테스트쿠폰을 제작하였다. 실험결과 roll coating에 의해 도포된 후막저항체들은 균일한 두께 범위를 나타내었고, 이에 따라 최종 경화 후 허용편차도 통상 ${\pm}$5~10% 이내로 제어될 수 있었다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.05a
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• pp.317-320
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• 2016

The NH-NongHyup network and servers were paralyzed in 2011, in the 2013 3.20 cyber attack happened and Classified documents of Korea Hydro & Nuclear Power Co. Ltd were leaked on December in 2015. All of them were conducted by a foreign country. These attacks were planned for a long time compared to the script kids attacks and the techniques used were very complex and sophisticated. However, no successful solution has been implemented to defend an APT attack thus far. Therefore, we will use big data analytics to analyze whether or not APT attack has occurred in order to defend against the manipulative attackers. This research is based on the data collected through ISAC monitoring among 3 hierarchical Korean defense system. First, we will introduce related research about big data analytics and machine learning. Then, we design two big data analytics models to detect an APT attack and evaluate the models' accuracy and other results. Lastly, we will present an effective response method to address a detected APT attack.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.05a
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• pp.149-152
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• 2017

Big data analysis is an effective analysis techniques of unstructured data such as internet, social network services, web documents generated in mobile environment, e-mail, and social data, as well as formal data well organized in the database. Thus, meta-analysis is a statistical integration method that delivers an opportunity to overview the entire result of integrating and analyzing many quantitative research results. Today, regardless of gender and age is increasing interest in whether you can lead a younger and healthier life. With this change of life which has been developed with a variety of functional health food. Aronia melanocarpa called black chokeberry is a fruit of berry plants belonging to the Rosaceae originally growing in the North America region. In the studies for factors related to quality characteristics and antioxidant activities as the extracts of Aronia in this study, which it is only targeted factors as total sugar, acidity, polyphenol, anthocyanin, antioxidant. Thus, we present the theoretical and practical implications of these results.

• Elastomers and Composites
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• v.44 no.3
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• pp.232-243
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• 2009

The specialized and diversified synthetic and compounding technologies are used to meet the requirements for the advanced high performance tire tread materials with better balance of fuel economy(rolling resistance), safety(wet traction) and wear resistance. These techniques involve the methodology for the improvement of chemical and physical interaction between filler and the rubber matrix using coupling agents as well as a variety of chemically-modified solution SBRs. The research trends about the high performance functional SBRs and coupling agents which can interact with the surface of fillers and their working mechanism were investigated in the conventional carbon black-filled rubber and silica-filled SBR systems developed recently as "green tire".

• Elastomers and Composites
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• v.42 no.3
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• pp.143-150
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• 2007

Hardness of rubbery materials, which is important for dimensional stability and product performance, was investigated upon temperature change in this study. A newly developed IRHD (International Rubber Hardness Degree) tester was used to measure the hardness changes of NR and SBR specimens at various temperatures and the hardness values were compared with the Young's modulus. The harness and Young's modulus of NR and SBR showed an abrupt change near the glass transition temperatures. The hardness and Young's modulus were increased by increasing temperature due to the increased random chain conformation of molecules. The effect of temperature on hardness and Young's modulus of NR and SBR specimens filled with carbon black and silica was decreased by increasing filler content.