• Title/Summary/Keyword: 라이스

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Functional Analysis of Classical Music in Film: Focused on (영화 속 클래식 음악의 기능분석:영화 <체실비치에서>를 중심으로)

  • Kang, Unsu;Ahn, Soo Hwan
    • The Journal of the Korea Contents Association
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    • v.22 no.3
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    • pp.152-164
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    • 2022
  • This thesis explores the relationship between Dominic Cooke's film (2017) and classical music. To analyze the relationship, researchers applied precedent research to the study. The relationship between the final scene of the movie King's Speech (2010) and the volume and instrumental changes of the Beethoven Symphony is analyzed by David Bashwiner, and Soohwan Ahn analyzed semantic association between the hotel conversation scene in a and Debussy's Arabesque. In addition, the study of application of Schumann's Träumerei to films was used as a methodology to find out how extra-musical information build meaningful sonority. Mozart's K.593, Haydn's Op.77 No.1, and Schubert's D.810 were used in the movie . This study analyzed the functions of Mozart, Haydn, and Schubert's music in . In order to express the relationship between the characters and their inner intentions, this film utilized the relationship between instruments, musical information and non-musical information of the pieces. Through this study, it is analyzed that the information of classical music functions and the core information of the plot of the movie combine together to improve the understanding of narrative.

A study on frost prediction model using machine learning (머신러닝을 사용한 서리 예측 연구)

  • Kim, Hyojeoung;Kim, Sahm
    • The Korean Journal of Applied Statistics
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    • v.35 no.4
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    • pp.543-552
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    • 2022
  • When frost occurs, crops are directly damaged. When crops come into contact with low temperatures, tissues freeze, which hardens and destroys the cell membranes or chloroplasts, or dry cells to death. In July 2020, a sudden sub-zero weather and frost hit the Minas Gerais state of Brazil, the world's largest coffee producer, damaging about 30% of local coffee trees. As a result, coffee prices have risen significantly due to the damage, and farmers with severe damage can produce coffee only after three years for crops to recover, which is expected to cause long-term damage. In this paper, we tried to predict frost using frost generation data and weather observation data provided by the Korea Meteorological Administration to prevent severe frost. A model was constructed by reflecting weather factors such as wind speed, temperature, humidity, precipitation, and cloudiness. Using XGB(eXtreme Gradient Boosting), SVM(Support Vector Machine), Random Forest, and MLP(Multi Layer perceptron) models, various hyper parameters were applied as training data to select the best model for each model. Finally, the results were evaluated as accuracy(acc) and CSI(Critical Success Index) in test data. XGB was the best model compared to other models with 90.4% ac and 64.4% CSI, followed by SVM with 89.7% ac and 61.2% CSI. Random Forest and MLP showed similar performance with about 89% ac and about 60% CSI.

Effects of Health-Related Food Labeling on Quality Assessment Before Purchase, Attitudes towards Using and Purchasing Products, and Purchase Intentions Based on the Theory of Planned Behavior (건강관련 식품표시가 구매 전 품질평가와 제품 사용 및 구매태도, 구매의도에 미치는 영향: 계획적 행동이론을 바탕으로)

  • Jun, Sangmin
    • Journal of Consumption Culture
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    • v.15 no.3
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    • pp.67-90
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    • 2012
  • When consumers choose healthy foods, they base their buying decisions on health-related food labeling and quality assessment of taste, health, and price. Moreover, both purchase experience and opinions of family and friends affect consumer choices. Focusing on these points, this study examined the effects of health-related food labeling on consumer choices by adding two variables-quality assessment of taste, health, and price and purchase experience-to the model of the theory of planned behavior. We also used structural equation modeling to test our hypotheses. In the study, health-related food labeling includes organic labeling, nutrient claims, and food additive labeling. We conducted a mail survey among 300 married women who buy cheese slices for their children more than once a month. It was discovered that health-related food labeling positively affected the level of quality assessment of taste, health, and price, and consequently led to positive attitudes and purchase intentions. Particularly, health-related food labeling positively influenced attitude toward using products without assessing the quality of taste, health, and price. The level of quality assessment of price positively affected attitude toward using and purchasing products, and purchase experience positively affected attitude toward using and purchasing products, and purchase intentions. The relationship between attitude to purchasing products and purchase intentions was the most positive, and the relationship between perceived behavioral control and purchase intentions was not significant. Overall, this study essentially contributes to the development of a theoretical framework of food labeling and consumer choices, which includes quality assessment of taste, health, and price and purchase experience, by using the theory of planned behavior.

A Machine Learning-Based Encryption Behavior Cognitive Technique for Ransomware Detection (랜섬웨어 탐지를 위한 머신러닝 기반 암호화 행위 감지 기법)

  • Yoon-Cheol Hwang
    • Journal of Industrial Convergence
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    • v.21 no.12
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    • pp.55-62
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    • 2023
  • Recent ransomware attacks employ various techniques and pathways, posing significant challenges in early detection and defense. Consequently, the scale of damage is continually growing. This paper introduces a machine learning-based approach for effective ransomware detection by focusing on file encryption and encryption patterns, which are pivotal functionalities utilized by ransomware. Ransomware is identified by analyzing password behavior and encryption patterns, making it possible to detect specific ransomware variants and new types of ransomware, thereby mitigating ransomware attacks effectively. The proposed machine learning-based encryption behavior detection technique extracts encryption and encryption pattern characteristics and trains them using a machine learning classifier. The final outcome is an ensemble of results from two classifiers. The classifier plays a key role in determining the presence or absence of ransomware, leading to enhanced accuracy. The proposed technique is implemented using the numpy, pandas, and Python's Scikit-Learn library. Evaluation indicators reveal an average accuracy of 94%, precision of 95%, recall rate of 93%, and an F1 score of 95%. These performance results validate the feasibility of ransomware detection through encryption behavior analysis, and further research is encouraged to enhance the technique for proactive ransomware detection.

The Study on Consummer Behaviour of Poultry meat and Egg (닭고기와 계란의 소비에 대한 조사 연구)

  • 남두희;오세정
    • Korean Journal of Poultry Science
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    • v.15 no.2
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    • pp.81-91
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    • 1988
  • The purpose of this research is to analyze the tendencies of poultry consumption in Korea. The information used is the data collected three times during the period from Sept. 1, 1985 to April 30, 1987 throughout the major cities. Those who participated in the survey are 2, 598 including housewives, nutritionists, cookers, group feeding institutions, woman's organizations, and the students of doing nutrition-related studies. Consumer preferences for poultry meat and eggs tend to move toward high quality and more strict sanitary standards. Following this line of consumer preference changes, the poultry product marketing supported by cold chain system is rapidly developing. Household consumption of poultry meat largely consists of hi-and semi-broilers but the household demand for these two broilers tends to decrease steadily over time. In general poultry meat consumption appears to be affected by consumer taste rather than market factors such as prices. In addition consumer choices are quite different depending on poultry meat parts which are preferred in order of drum sticks, wings, and breasts. In particular drum sticks are most preferred than any other parts. An important problem in poultry production is related to consumption seasonality since large part of poultry meat consumption is concentrated during the summer season. Another problem is associated with little development of cooking methods. At present there are two types of primary commercial cooking techniques, fries and samgaetang (boiled chicken with jinsang and rice). For promoting domestic poultry meat disposal and reducing the demand seasonality, new cooking methods should be developed and followed by more aggresive advertisements. In domestic egg trade, smaller packing units(i.e., 10 eggs per unit) tend to bi preferred to large ones (i.e., 30 eggs per unit). In consumers egg purchasing decisions nearness to the shops and convenience appear to be important factors. For egg shell colors consumers recognize that there is no difference in nutritional values. However, survey results show that consumers highest preference lies in eggs with brown color. Eggs are most popular among children and preferred in order of middle-and high-school students, 17-25 age people, and adults. Egg prices are concieved relatively cheap to its nutritional values. In house-holds eggs are consumed in the forms of fries, side dishes, and lunch basket dishes. However, high level of cholesterol content in eggs appears to be an important problem in promoting eggs consumption.

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A Survey on the University Students′ Use of University Cafeteria and Perception for the Reduction of Food Wastes (대학생의 구내식당 이용실태 및 음식물쓰레기 감량에 대한 의식 조사 연구)

  • 한준표
    • Journal of the East Asian Society of Dietary Life
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    • v.9 no.2
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    • pp.125-134
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    • 1999
  • The goal of this study was to find the way of reduction on food waste in the university cafeteria. A survey was conducted on the 502 students using Yeungnam University cafeteria, and illustrates the students' use and perception for the reduction of food waste. Its results can be summarized as follows: 57.2 percent of the total users use the university cafeteria every day, also 77.1 percent of the students preferred Korean style dish. Female students left more food waste than male students, and the most leaving food was stews than the other types of foods. The most favorite stew and side dish turned out tc be Yukgaejang and Bulgogi respectively, also they preferred Kimchibokkumbab. But they disliked Baechuguk, Sungiguk, salted fish and fishes. The perception of female users on the reduction of food waste was lower than that of male users, but they were concerned about on the reduction and recycling of food waste. Also the best method of food waste treatment recognized by students were utilizing the waste food as fertilizer or fodder for animals.

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Study on the Salt and Sodium Content of Middle School Lunch Meals in Gyeongsangbuk-do Area - Focus on Application of 'SamSam Foodservice' - (경북 일부지역 중학교 점심급식의 소금 및 나트륨 함량 분석 - 삼삼급식소 적용을 위한 기초조사를 중심으로 -)

  • Park, So-Young;Lee, Kyung-A
    • Journal of the Korean Society of Food Science and Nutrition
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    • v.45 no.5
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    • pp.757-764
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    • 2016
  • The purpose of this study was to investigate the salt and sodium content of lunch meals served at middle schools in Gyeongsangbuk-do. Four middle schools were investigated for their salt and sodium content and salt content contributing rate per meal. Average salt content of every lunch meal was 4.41 g, and average sodium content was 1,736.02 mg. During the investigation period, the lowest sodium content was 943.19 mg while the highest was 2,827.56 mg. Samples were classified into 16 food items and investigated for salt and sodium content. Total average salinity was 1.06%. Kimchi was the saltiest, followed by fresh-vegetables, boiled-vegetables, stir-fried foods, pan-fried foods, and hard-boiled foods. Total average salt content was 0.74 g, and most salty dishes were single dish rice noodles, followed by stews, steamed foods, broths, soups, kimchies, stir-fried foods, roasted foods, and hard-boiled foods. Samples were classified into seven menu groups, including cooked rice, single dish rice noodles, soup stew, main dish, side dish, kimchi, and desserts. Contributing rate of total average salt content was high in single dish rice noodles (40.56%), soup stew (23.23%), kimchies (20.30%), and main dish (18.13%). These results can be useful for establishing a database for sodium contents of meals in middle schools. 'SamSam foodservice' should be initiated in school foodservice to reduce sodium intake.

Development of an Automatic Seed Marker Registration Algorithm Using CT and kV X-ray Images (CT 영상 및 kV X선 영상을 이용한 자동 표지 맞춤 알고리듬 개발)

  • Cheong, Kwang-Ho;Cho, Byung-Chul;Kang, Sei-Kwon;Kim, Kyoung-Joo;Bae, Hoon-Sik;Suh, Tae-Suk
    • Radiation Oncology Journal
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    • v.25 no.1
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    • pp.54-61
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    • 2007
  • [ $\underline{Purpose}$ ]: The purpose of this study is to develop a practical method for determining accurate marker positions for prostate cancer radiotherapy using CT images and kV x-ray images obtained from the use of the on- board imager (OBI). $\underline{Materials\;and\;Methods}$: Three gold seed markers were implanted into the reference position inside a prostate gland by a urologist. Multiple digital image processing techniques were used to determine seed marker position and the center-of-mass (COM) technique was employed to determine a representative reference seed marker position. A setup discrepancy can be estimated by comparing a computed $COM_{OBI}$ with the reference $COM_{CT}$. A proposed algorithm was applied to a seed phantom and to four prostate cancer patients with seed implants treated in our clinic. $\underline{Results}$: In the phantom study, the calculated $COM_{CT}$ and $COM_{OBI}$ agreed with $COM_{actual}$ within a millimeter. The algorithm also could localize each seed marker correctly and calculated $COM_{CT}$ and $COM_{OBI}$ for all CT and kV x-ray image sets, respectively. Discrepancies of setup errors between 2D-2D matching results using the OBI application and results using the proposed algorithm were less than one millimeter for each axis. The setup error of each patient was in the range of $0.1{\pm}2.7{\sim}1.8{\pm}6.6\;mm$ in the AP direction, $0.8{\pm}1.6{\sim}2.0{\pm}2.7\;mm$ in the SI direction and $-0.9{\pm}1.5{\sim}2.8{\pm}3.0\;mm$ in the lateral direction, even though the setup error was quite patient dependent. $\underline{Conclusion}$: As it took less than 10 seconds to evaluate a setup discrepancy, it can be helpful to reduce the setup correction time while minimizing subjective factors that may be user dependent. However, the on-line correction process should be integrated into the treatment machine control system for a more reliable procedure.

Local Shape Analysis of the Hippocampus using Hierarchical Level-of-Detail Representations (계층적 Level-of-Detail 표현을 이용한 해마의 국부적인 형상 분석)

  • Kim Jeong-Sik;Choi Soo-Mi;Choi Yoo-Ju;Kim Myoung-Hee
    • The KIPS Transactions:PartA
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    • v.11A no.7 s.91
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    • pp.555-562
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    • 2004
  • Both global volume reduction and local shape changes of hippocampus within the brain indicate their abnormal neurological states. Hippocampal shape analysis consists of two main steps. First, construct a hippocampal shape representation model ; second, compute a shape similarity from this representation. This paper proposes a novel method for the analysis of hippocampal shape using integrated Octree-based representation, containing meshes, voxels, and skeletons. First of all, we create multi-level meshes by applying the Marching Cube algorithm to the hippocampal region segmented from MR images. This model is converted to intermediate binary voxel representation. And we extract the 3D skeleton from these voxels using the slice-based skeletonization method. Then, in order to acquire multiresolutional shape representation, we store hierarchically the meshes, voxels, skeletons comprised in nodes of the Octree, and we extract the sample meshes using the ray-tracing based mesh sampling technique. Finally, as a similarity measure between the shapes, we compute $L_2$ Norm and Hausdorff distance for each sam-pled mesh pair by shooting the rays fired from the extracted skeleton. As we use a mouse picking interface for analyzing a local shape inter-actively, we provide an interaction and multiresolution based analysis for the local shape changes. In this paper, our experiment shows that our approach is robust to the rotation and the scale, especially effective to discriminate the changes between local shapes of hippocampus and more-over to increase the speed of analysis without degrading accuracy by using a hierarchical level-of-detail approach.

A Study on the Marketplace Models for Korean Animation Content Foreign Sales (국산 애니메이션 콘텐츠 해외 판매를 위한 마켓플레이스 모델 연구)

  • Han, Sang-Gyun
    • Cartoon and Animation Studies
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    • s.44
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    • pp.333-361
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    • 2016
  • In general, content business companies include animation industry can have benefits, which they have higher incomes when they obtain wider markets. Therefore, they pursue to have diverse windows for content distribution or to reach the foreign markets for dealing their content products with potential customers. It have the greatest value. They can re-invest the incomes to produce their new products, and they can enhance the international competitiveness of their next products. As the results, the companies can have more incomes and wider markets in next business, and it will be the effectiveness of the good cycle of the animation industry. Animation industry has being undergone of its structure changes, more economical chances and viewers' attitudes changes through the all over the industry because of the acceptance of new digital technology. To response the changes or have the new chances from the changes, they should to review the existing system and the law concerned with the animation business as well as having the diverse new plans for supporting the industry like a construction of the online marketplace of Korean animation. It would make the Korean animation companies to meet foreign customers easily by making lower the entrance barrier of the foreign markets. Current Korean government needs to estimate the value of the Korean animation accurately and objectively by concerning its surroundings to support efficiently. However, it is very difficult to estimate the value of the content rightly because of its' intangible and subjective matter. For this, they should analyze the all the data of the information of the Korean animation content by accumulate, open to the public and manage. So if the government makes online marketplace for the Korean animation, which all the Korean animation companies get in, it would be a solution of estimating the value of the Korean animation rightly. In addition, it will be used as the role of archive of the government to lead the industry successfully. As a point of the small size of the Korean animation companies, they are government dependable because of its low budget, so they strongly expect the government to do the right role as the unique knowledge distributor. Therefore, the Korean animation online marketplace would make not only big companies, but also small companies to have the chances to increase the value of their content in the global markets by themselves without economic burdens.