• Korean Journal of Acupuncture
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• v.27 no.1
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• pp.159-168
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• 2010

Objective: ZhangJinYoPian(藏珍要編, ZJYP) is a book witten by Song-WooGe in the late 19th century. While Korea has lost this book to tell us Korea traditional acupuncture treatment in the late 19th century, This book appeared as a manuscript in Japan. There is no reaserch or study carried out for this book. Furthermore, a few people know existence of this book. So I analyzed acupuncture treatment of the ZJYP and sort out the distinctive feature of it. Method: For that, I studied bibliographic information of this book and classified contents of it into three parts - medical thought, needle manipulation and acupoint selection to consider it's caracteristics. Results and Conclusions: 1. The author of ZJYP thought that weakness of good power in the body and strongness of evil power out of the body cause a disease. so Doctor should examine quality of both to care patient's pain. 2. The author of ZJYP thought that needle manipulation is one of the most important thing. Doctors can use needle manipulation to control patient condition. Especially, he suggested cooling and heating manipulation except reinforcement and reduction. 3. He stressed viscera and bowels. he located viscera and bowels theory in front of the book to explain relationship of these. It shows us that ZJYP maintained academic characteristics of acupuncture in Chosun-Korea. 4. While He minimized the number of acupoints used in treatment, he multiplied its combination. He selected one or two acupoints from each meridian pathway. It include Eight Confluent points(八脈交會穴). But these points were used in different ways to control the viscera and bowels, not to care the eight extra meridians.

• Korea Real Estate Review
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• v.24 no.1
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• pp.7-14
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• 2014

This study, as the temporal and spatial data for the real price apartment in Seoul from January 2006 to June 2013, empirically compared and analyzed the estimation result of apartment price using OLS by hedonic price model for the problem of space-time correlation, temporal autoregressive model (TAR) considering temporal effect, spatial autoregressive model (SAR) spatial effect and spatiotemporal autoregressive model (STAR) spatiotemporal effect. As a result, the adjusted R-square of STAR model was increased by 10% compared that of OLS model while the root mean squares error (RMSE) was decreased by 18%. Considering temporal and spatial effect, it is observed that the estimation of apartment price is more correct than the existing model. As the result of analyzing STAR model, the apartment price is affected as follows; area for apartment(-), years of apartment(-), dummy of low-rise(-), individual heating (-), city gas(-), dummy of reconstruction(+), stairs(+), size of complex(+). The results of other analysis method were the same. When estimating the price of real estate using STAR model, the government officials can improve policy efficiency and make reasonable investment based on the objective information by grasping trend of real estate market accurately.

• Journal of the Korean Society of Safety
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• v.36 no.5
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• pp.1-9
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• 2021

With the convergence of the information and communication technologies, a new age of technological civilization has arrived. This is the age of intelligent revolution, known as the 4th industrial revolution. The 4th industrial revolution is based on technological innovations, such as robots, big data analysis, artificial intelligence, and unmanned transportation facilities. This revolution would interconnect all the people, things, and economy, and hence will lead to the expansion of the industry. A high-density, high-capacity energy technology is required to maintain this interconnection. As a next-generation energy source, lithium-ion batteries are in the spotlight today. However, lithium-ion batteries can cause thermal runaway and fire because of electrical, thermal, and mechanical abuse. In this study, thermal runaway was induced in 72.5 Ah NCM pouch-type lithium-ion batteries because of thermal abuse. The surface of the pouch-type lithium-ion batteries was heated by the hot plate heating method, and the effect of the rate of increase in the surface temperature on the thermal runaway trigger time was analyzed using Minitab 19, a statistical analysis program. The correlation analysis results confirmed that there existed a strong negative relationship between each variable, while the regression analysis demonstrated that the thermal runaway trigger time of lithium-ion batteries can be predicted from the rate of increase in their surface temperature.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.6
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• pp.9-13
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• 2019

In this study, a miniature thin film-patterned heater was fabricated on a silicon substrate using semiconductor process technology and the thermal characteristics of the applied voltage, power, and temperature of the thin film heater were measured and analyzed. The temperature of the thin film pattern heater increased with increasing power, but the temperature increase rate was gradual at high power intervals. The characteristics of the high temperature section of the platinum thin film-patterned heater were analyzed using the heat resistance model under atmospheric and vacuum conditions. The thermal resistance measured in a vacuum atmosphere was 0.79 [K/mW] higher than the heat resistance value 0.69 [K/mW] in air. The temperature of the thin film pattern heater can be maintained at a low power in a vacuum rather than in air, and these results are expected to be utilized in the structural design of a thin film-patterned heater element.

• The Journal of the Convergence on Culture Technology
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• v.4 no.4
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• pp.267-272
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• 2018

Today, SNS exists as the most influential medium. A variety of designs are being produced in the context of numerous SNS marketing designs and the increasing exposure of ads to SNS and portal sites. Recognizing the current status of sns advertising design, which is heating up more than a decade ago, we will study strategies to introduce an important part of education to be conducted in universities and the current way in which it is used and produced. Modern SNS marketing designs include promotional posters, card news, and banner ads, and are evolving into various forms and content that are combined with advertisements. In communicating or sharing information, the importance of real-time advertising product work and the saving of caustic costs are important. This requires a diversification of university education, as well as a change in quality and speed of production. When the graduates of SNS Design Production Education Development Plan and design work were carried out, they conducted a study on the education section where real-time work is possible to proceed to the industrial field. Through this research, we would like to consider the development of SNS marketing design personnel and the practical implications of training methods.

• KIPS Transactions on Computer and Communication Systems
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• v.8 no.4
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• pp.87-92
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• 2019

This paper describes the pattern analysis for data of the factory energy consumption by using machine learning method. While usual statistical methods or approaches require specific equations to represent the physical characteristics of the plant, machine learning based approach uses historical data and calculate the result effectively. Although rule-based approach calculates energy usage with the physical equations, it is hard to identify the exact equations that represent the factory's characteristics and hidden variables affecting the results. Whereas the machine learning approach is relatively useful to find the relations quickly between the data. The factory has several components directly affecting to the electricity consumption which are machines, light, computers and indoor systems like HVAC (heating, ventilation and air conditioning). The energy loads from those components are generated in real-time and these data can be shown in time-series. The various sensors were installed in the factory to construct the database by collecting the energy usage data from the components. After preliminary statistical analysis for data mining, time-series clustering techniques are applied to extract the energy load pattern. This research can attributes to develop Factory Energy Management System (FEMS).

• Korean Journal of Metals and Materials
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• v.46 no.9
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• pp.554-562
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• 2008

The distribution and prediction interval for the misorientation angle of grain boundary at which $Cr_2N$ was precipitated during heating at $900^{\circ}C$ for $10^4$ sec were newly estimated, and followed by the estimation of mathematical and median rank methods. The probability density function of the misorientation angle can be estimated by a statistical analysis. And then the ($1-{\alpha}$)100% prediction interval of misorientation angle obtained by the estimated probability density function. If the estimated probability density function was symmetric then a prediction interval for the misorientation angle could be derived by the estimated probability density function. In the case of non-symmetric probability density function, the prediction interval could be obtained from the cumulative distribution function of the estimated probability density function. In this paper, 95, 99 and 99.73% prediction interval obtained by probability density function method and cumulative distribution function method and compared with the former results by median rank regression or mathematical method.

• Computers and Concrete
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• v.27 no.5
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• pp.417-435
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• 2021

The optimal distribution of steel fibers over different layers of concrete can be considered as an appropriate method in improving the structural performance and reducing the cost of fiber-reinforced concrete members. In addition, the use of waste tire rubber in concrete mixes, as one of the practical ways to address environmental problems, is highly significant. Thus, this study aimed to evaluate the flexural behavior of functionally graded steel fiber-reinforced concrete containing recycled tire crumb rubber, as a volume replacement of sand, after exposure to elevated temperatures. Little information is available in the literature regarding this subject. To achieve this goal, a set of 54 one-, two-, and three-layer concrete beam specimens with different fiber volume fractions (0, 0.25, 0.5, 1, and 1.25%), but the same overall fiber content, and different volume percentages of the waste tire rubber (0, 5, and 10%) were exposed to different temperatures (23, 300, and 600℃). Afterward, the parameters affecting the post-heating flexural performance of concrete, including flexural strength and stiffness, toughness, fracture energy, and load-deflection diagrams, along with the compressive strength and weight loss of concrete specimens, were evaluated. The results indicated that the flexural strength and stiffness of the three-layer concrete beams respectively increased by 10 and 7%, compared to the one-layer beam specimens with the same fiber content. However, the flexural performance of the two-layer beams was reduced relative to those with one layer and equal fiber content. Besides, the flexural strength, toughness, fracture energy, and stiffness were reduced by approximately 10% when a 10% of natural sand was replaced with tire rubber in the three-layer specimens compared to the corresponding beams without crumb rubber. Although the flexural properties of concrete specimens increased with increasing the temperature up to 300℃, these properties degraded significantly with elevating the temperature up to 600℃, leading to a sharp increase in the deflection at peak load.

• Korean Journal of Veterinary Service
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• v.46 no.2
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• pp.161-165
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• 2023

A 6-year-old female long-tailed goral (Naemorhedus caudatus, goral) was admitted to the Gangwon wildlife medical rescue center due to severe starvation and hypothermia. The goral displayed clinical signs of severe weight loss, dehydration, lethargy, regurgitation, hypothermia, and bloating, with blood tests showing a decrease in albumin, calcium, glucose, and sodium. Supportive care was given through heating, oxygen supply, and fluid therapy, but the goral's condition worsened, and the goral died three days after admission. Radiographic and computed tomography scans revealed the presence of an indigestible foreign body (IFB) in the rumen, which was confirmed during the necropsy. The cause of goral's death was identified as chronic rumen impaction caused by the IFB (a ball of string), with other pathological findings including bloating, the presence of serous ascites, and congestion of digestive organs. Blood biochemical changes, clinical signs, and veterinary medical imaging diagnosis can be helpful in diagnosing ruminal impaction. This case report can provide valuable information for the diagnosis and treatment of ruminal impaction caused by IFB in endangered gorals, which may include rumenotomy or other surgical procedures.

• Applied Chemistry for Engineering
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• v.35 no.1
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• pp.37-41
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• 2024

The coconut shell, a by-product of popular tropical fruit, is a promising material due to its interesting properties. The preparation of the composite consisted of conducting polymer and coconut shell using a simple wet method, and subsequent carbonization produced a carbonized material under a controlled carbonization cycle. In addition, its electrochemical performance as an anode in lithium-ion batteries was also investigated. The appearance of the obtained materials was observed with a scanning electron microscope. The internal structure of the carbon derived from the coconut shell under a controlled heating profile was analyzed using a Raman spectroscope. A simple electrical measurement based on the ohmic relationship showed that the carbonized product has a significant electrical conductivity. The application of the carbonized product as anode in a lithium-ion battery was tested using half-cell charge/discharge experiments. This article provides important information for future research regarding the recycling of fruit shells and food waste.