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Relationship between Progressive culture and arts activities and social transformation (진보적 문화예술 활동과 사회변화의 상관성 -광주민주화운동을 중심으로-)

  • LEE, Seung-Kwon;Yun, Man-sik
    • The Journal of the Convergence on Culture Technology
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    • v.4 no.3
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    • pp.41-50
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    • 2018
  • The present article focuses on the cultural arts, the role and functions of people as intermediate to carry out the revitalization of memory. Most of the basic cultural activities and events sparked from the cardinal point of the democratization of Gwangju and the interwoven relationships this created. In other words, the events leading to Gwangju democratization movement have derived from democratic culture and art and they contributed to change and influence South Korea's revolutionary movements. As far as clarifying the concept of culture is concerned, the idea of culture is too wide to encompass it so we aim to narrow it down to the special events of 5.18 democratization movements which launched the national transformation of the cultural stage and the development of democracy in South Korea. Through this, the movement of popular culture and popular arts fostered the revolution of society. Moreover, the value of the 5.18 movement for democratization stems from democracy, human rights, the universal value of peace and so many efforts were made by popular artists until it became upgraded as a national commemoration day. Raising the people's awareness that culture could change the course of history is still necessary so that popular art and culture play a central role in people's lives. In order to fulfill the people's inherent hope it is necessary to promote aesthetic values and a continuous revolution in societal practices.

Changes in Vitamin U, Amino acid and Sugar Levels in Chinese Cabbages during Storage (배추 저장동안 비타민 U, 아미노산, 유리당 함량 변화)

  • Hong, Eun-Young;Kim, Gun-Hee
    • Food Science and Preservation
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    • v.13 no.5
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    • pp.589-595
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    • 2006
  • Vitamin U (5-methylmethionine) levels of Chinese cabbages at $4^{\circ}C$ were investigated to establish its physiological characteristics and also amino acids and sugars levels to find out their relationship with vitamin U were determined The levels of vitamin U showed different from parts of Chinese cabbages. The highest value was shown in outward leaf in Wineter Pride (12.70 mg/100 g fresh wt.) and core leaf in 55 Days cultivars (18.60 mg/100 g fresh wt.). leaf pare were 1.7-9.0 times higher in vitamin U levels than those in midribs in both cultivars. levels of vitamin U in stored Chinese cabbages increased with storage time. Moreover, two cultivars used far this experiment showed different pattern during storage. In Winter Pride, vitamin U levels sharply increased in leaf and midrib of cote part during storage. This value reached about 2.5 times for leaf and 4 times for midrib compared to the levels of initial storage time in core part In 55 Days cultivars, outward leaf showed an increased level of vitamin U of 1.8 times compared to that of 1 month storage time. Methionine known as a precursor of vitamin U synthesis did not showed clear relationship with vitamin U levels. Methionine was either not detected or at negligibly low levels in Chinese cabbages during storage. Methionine may not play a role in an increase of vitamin U during storage of Chinese cabbages at $4^{\circ}C$. No clear relationship of free amino acids and soluble sugars for vitamin U accumulation during storage of Chinese cabbages was shown in this study.

Rheological Properties of Pound Cake with Ginger Powder (생강분말을 첨가한 파운드 케이크의 유변학적 특성)

  • Chung, Yoon-Kyung;Lee, Jae-Joon;Lee, Hyun-Joo
    • Food Science and Preservation
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    • v.19 no.3
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    • pp.361-367
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    • 2012
  • The purpose of this study was to investigate the rheological properties of pound cake cotaining ginger powder. Ginger powder was added to pound cake bases at 1, 3 and 5%. concentrations. The physical properties of the pound cake with ginger powder were tested by rapid viscoanalyzer (RVA), a farinogram, and an alveogram. The falling numbers were increased with the increment of ratio of ginger powder, but they did not show a significant difference. The higher quantity of ginger powder with cake flour made MTI value the higher and these results showed typical cake flour. The farinogram quality number did not show a significant difference between the control and the other samples. The highest initial gelatinization temperature was that of the control, and the increment of ginger powder on the cake flour made initial gelatinization temperature lower. The peak and final viscosities, however, were higher with the quantity increment of ginger powder. The holding strength did not show a significant difference. As the 5% - ginger-powder pound cake showed the highest setback, it was predicted that the addition of ginger powder to the flour would not play the role of anti-retrogradation. The Pmax and L value of the alveogram decreased with the ginger powder increments.

Descriptive Analysis of Low Saline Water in Youngdeuk, the East Coast of Korea in 2010 (2010년 동해 영덕 연안의 저염수)

  • Choi, Yong-Kyu;Kwon, Kee-Young;Yang, Joon-Yong
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.18 no.5
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    • pp.379-387
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    • 2012
  • In order to see the oceanographic conditions, the observations of aquaculture farm of ascidian in Youngdeuk, the east coast of Korea were conducted through 6 times-23 February, 6 April, 8 June, 19 August, 6 October and 20 December-in 2010. Surveys were conducted in 20 stations bimonthly using SBE 19 CTD instrument. The mixed layer depth (MLD) was deep in winter and shallow in summer. The cold water below $5^{\circ}C$ in temperature was occupied below thermocline through all season. The temperature was high in the southeastern area. The salinity was increased from the coast to the open sea. The halocline was distinct at 20 m depth in August and at 40 m depth in October. The lowest value of salinity was appeared at the depth of 10 m in October. In addition the value of precipitation minus evaporation denoted negative in October. These low saline water seemed to inflow to the coast from the open sea. Therefore the low saline water moved to the east coast of Korea. The EKWC may play an important role to convey the low saline water. It may affect the aquaculture farm along the coast as the mass mortality of ascidian. It needs to clarify the role and pathway of EKWC to transfer the low saline water along the east coast of Korea.

The Effect of Intuitive Free Association and Systematic Free Association on the Creativity of High School Students Group in the Conceptual Design Process (직관적 및 체계적 자유연상기법이 개념설계과정에서 고등학생 집단의 창의성 향상에 미치는 효과)

  • Mheen, Se-Kee;Choi, Yu-Hyun
    • 대한공업교육학회지
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    • v.34 no.1
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    • pp.129-154
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    • 2009
  • The purpose of this study was to find the effect of intuitive free association and systematic free association on the creativity of high school students group in the conceptual design process. Based on this study result, the conclusion can be summarized as follows. 1. There was meaningful relation between intuitive free association and creativity factor of high school students. Mean value of experimental group A 's creativity and it's factor originality, practicality, elaboration, and fluency which treated intuitive free association was increased. 2. There was meaningful relation between systematic free association and creativity factor of high school students. Mean value of experimental group B 's creativity and it's sub factors: originality, problem solving, elaboration, and fluency which was treated systematic free association was increased. 3. It was found that two different divergent thinking does not show any meaningful difference in creativities of two groups. However, the meaningful difference was found in post creativity test in each groups sub-factors. There was meaningful difference in practicality factor, though there was no meaningful difference in originality, elaboration, fluency factors. Using the obtained results, it was concluded that intuitive thinking and systematic thinking play different roles in practicality which is one of sub-factors of the creativity of high school students. Consequently, it can be concluded that systematic thinking which leads students to take a step to solve a given problem can elicit more scientific thinking, and helps students create more practical solution in problem solving than intuitive thinking that emphasize the quantitative aspect of ideas.

Hazardous and Noxious Substances (HNSs) Styrene Detection Using Spectral Matching and Mixture Analysis Methods (분광정합 및 혼합 분석 방법을 활용한 위험·유해물질 스티렌 탐지)

  • Jae-Jin Park;Kyung-Ae Park;Tae-Sung Kim;Moonjin Lee
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.28 no.spc
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    • pp.1-10
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    • 2022
  • As the volume of marine hazardous and noxious substances (HNSs) transported in domestic and overseas seas increases, the risk of HNS spill accidents is gradually increasing. HNS leaked into the sea causes destruction of marine ecosystems, pollution of the marine environment, and human casualties. Secondary accidents accompanied by fire and explosion are possible. Therefore, various types of HNSs must be rapidly detected, and a control strategy suitable for the characteristics of each substance must be established. In this study, the ground HNS spill experiment process and application result of detection algorithms were presented based on hyperspectral remote sensing. For this, styrene was spilled in an outdoor pool in Brest, France, and simultaneous observation was performed through a hyperspectral sensor. Pure styrene and seawater spectra were extracted by applying principal component analysis (PCA) and the N-Findr method. In addition, pixels in hyperspectral image were classified with styrene and seawater by applying spectral matching techniques such as spectral distance similarity (SDS), spectral correlation similarity (SCS), spectral similarity value (SSV), and spectral angle mapper (SAM). As a result, the SDS and SSV techniques showed good styrene detection results, and the total extent of styrene was estimated to be approximately 1.03 m2. The study is expected to play a major role in marine HNS monitoring.

A Study on the Investment Cost Procurement and Economic Effective of Port Industry for Strength of the National Competitive Power (국가경쟁력 강화를 위한 항만산업 경제적 효과 및 투자재원 조달 방안 연구)

  • Lee, Je-Hong;Choi, Heung-Seob
    • Journal of Korea Port Economic Association
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    • v.24 no.2
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    • pp.317-334
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    • 2008
  • Port industry has achieved a remarkable growth with a help from increase in container shipment and above all, transshipment that reflects international competitive power of Port industry amounts to 36% of the national harbor shipment. Therefore, this study speculates the impact of Port industry on national economy using the inter-industry relation table. As it considers the reason why international competitive power in Port facilities decreased as absence of investment, it is to present an effective investment plan for Port industry. Though Port industry as one of main national key industries play an important role in production of national economy, it has been evaluated as having relatively less importance. And when Port industry is managed independently, relying on foreign countries without improvement, price increase due to improper agreement of foreign enterprises and problems relating to securing safe transportational vehicles will have tremendous impact on national economy. And they should try to create added-value and support re-export of the exported and imported shipment through their processing and packaging by making Port zones bonded area. production of national economy, it has been evaluated as having relatively less importance. And when Port industry is managed independently, relying on foreign countries without improvement, price increase due to improper agreement of foreign enterprises and problems relating to securing safe transportational vehicles will have tremendous impact on national economy. And they should try to create added-value and support re-export of the exported and imported shipment through their processing and packaging by making Port zones bonded area.

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Development of Water Level Prediction Models Using Deep Neural Network in Mountain Wetlands (딥러닝을 활용한 산지습지 수위 예측 모형 개발)

  • Kim, Donghyun;Kim, Jungwook;Kwak, Jaewon;Necesito, Imee V.;Kim, Jongsung;Kim, Hung Soo
    • Journal of Wetlands Research
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    • v.22 no.2
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    • pp.106-112
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    • 2020
  • Wetlands play an important function and role in hydrological, environmental, and ecological, aspects of the watershed. Water level in wetlands is essential for various analysis such as for the determination of wetland function and its effects on the environment. Since several wetlands are ungauged, research on wetland water level prediction are uncommon. Therefore, this study developed a water level prediction model using multiple regression analysis, principal component regression analysis, artificial neural network, and DNN to predict wetland water level. Geumjeong-Mountain Wetland located in Yangsan-city, Gyeongsangnam-do province was selected as the target area, and the water level measurement data from April 2017 to July 2018 was used as the dependent variable. On the other hand, hydrological and meteorological data were used as independent variables in the study. As a result of evaluating the predictive power, the water level prediction model using DNN was selected as the final model as it showed an RMSE value of 6.359 and an NRMSE value of 18.91%. This research study is believed to be useful especially as a basic data for the development of wetland maintenance and management techniques using the water level of the existing unmeasured points.

A Study on functional priority of smart home service for single-person household - focusing on Perceived Attributes of Innovations - (1인 가구를 위한 스마트 홈 서비스 기능의 우선순위 연구 - 인지된 혁신 특성 요인을 중심으로 -)

  • Lim, Se Eun;Park, Seung Ho
    • Design Convergence Study
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    • v.15 no.2
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    • pp.37-52
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    • 2016
  • The purpose of this study is to suggest functional priority to increase probability to be adopted by single-person household by designating single-person household as potential early adopter of smart home service. Smart home service is spread slowly for its value. This study applied diffusion of innovations theory to solve this problem. Single-person household who has no other family member who can take care of household is chosen as potential early adopter. This study tried to find grounds of functional priorities through an online survey. The survey questionnaires were composed as following. First, representative attributes of single- person household were reviewed, then measuring questions according to the attributes were recomposed based upon preceding study. After that, concept and status of smart home service were reviewed. and smart home service functions to be measured in this study were selected through analysis based upon representative cases, then Measuring questionnaire were made were three factors which chosen by referring to preceding study about perceived attributes of innovations applied to selected functions. As a result of analyzed 62 responses, except excluded functions which has perceived any special value, set priorites with 9 functions. These functional priorities obtained from these studies will play a role as fundamental data to provide valuable service to single-person household and have a meaning as a starting point to increase rate of adoption for smart home service.

An Energy Consumption Prediction Model for Smart Factory Using Data Mining Algorithms (데이터 마이닝 기반 스마트 공장 에너지 소모 예측 모델)

  • Sathishkumar, VE;Lee, Myeongbae;Lim, Jonghyun;Kim, Yubin;Shin, Changsun;Park, Jangwoo;Cho, Yongyun
    • KIPS Transactions on Software and Data Engineering
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    • v.9 no.5
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    • pp.153-160
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    • 2020
  • Energy Consumption Predictions for Industries has a prominent role to play in the energy management and control system as dynamic and seasonal changes are occurring in energy demand and supply. This paper introduces and explores the steel industry's predictive models of energy consumption. The data used includes lagging and leading reactive power lagging and leading current variable, emission of carbon dioxide (tCO2) and load type. Four statistical models are trained and tested in the test set: (a) Linear Regression (LR), (b) Radial Kernel Support Vector Machine (SVM RBF), (c) Gradient Boosting Machine (GBM), and (d) Random Forest (RF). Root Mean Squared Error (RMSE), Mean Absolute Error (MAE) and Mean Absolute Percentage Error (MAPE) are used for calculating regression model predictive performance. When using all the predictors, the best model RF can provide RMSE value 7.33 in the test set.