• Title/Summary/Keyword: 기술산업 비교분석

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Generation Method of Expression Space for Realtime Facial Expression Control of 3D Avatar (3차원 아바타의 실시간 얼굴표정제어를 위한 표정공간의 생성방법)

  • Kim Sung-Ho
    • Proceedings of the Korean Information Science Society Conference
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    • 2006.06a
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    • pp.109-111
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    • 2006
  • 본 논문은 애니메이터로 하여금 얼굴 표정들의 공간으로부터 일련의 표정을 선택하게 함으로써 3차원 아바타의 표정을 실시간적으로 제어할 수 있도록 하기 위한 표정공간의 생성방법에 관하여 기술한다. 본 시스템에서는 약 2400여개의 얼굴 표정 프레임을 이용하여 표정공간을 구성하였다. 본 기법에서는 한 표정을 표시하는 상태표현으로 얼굴특징 점들 간의 상호거리를 표시하는 거리행렬을 사용한다. 이 거리행렬의 집합을 표정공간으로 한다. 그러나 이 표정공간은 한 표정이 다른 표정까지 이동할 때 두 표정간의 직선경로를 통해 이동할 수 있는 그런 공간이 아니다. 본 기법에서는 한 표정에서 다른 표정까지 거쳐 갈 수 있는 경로를 캡쳐된 표정 데이터로부터 근사적으로 유추한다. 우선, 각 표정상태를 표현하는 거리행렬간의 거리가 일정 값 이하인 경우 두 표정을 인접해 있다고 간주한다. 임의의 두 표정 상태가 일련의 인접표정들의 집합으로 연결되어 있으면 두 표정간에 경로가 존재한다고 간주한다. 한 표정에서 다른 표정으로 변화할 때 두 표정간의 최단경로를 통해 이동한다고 가정한다. 두 표정간의 최단거리를 구하기 위해 다이내믹 프로그래밍 기법을 이용한다. 이 거리행렬의 집합인 표정공간은 다차원 공간이다. 3차원 아바타의 얼굴 표정 제어는 애니메이터들이 표정공간을 항해할 때 실시간적으로 수행된다. 이를 도와주기 위해 표정공간을 차원 스케일링 기법을 이용하여 2차원 공간으로 가시화하였고, 애니메이터들로 하여금 본 시스템을 사용하여 실시간 표정 제어를 수행하게 했는데, 본 논문은 그 결과를 평가한다.참여하는 빈들 간의 관계를 분석하여 워크플로우에 대한 성능 측정이 가능하도록 한다. 또한 제안된 메트릭을 통하여 EJB 어플리케이션의 성능 향상을 도모할 수 있도록 한다.로 표면 위로 자라났고, 부종은 창상 밑 조직까지 감소하였으며, 육아조직은 교원질 섬유로 대체되었다. 창상 유발 21일 후, 다른 창상에 비해, HG 처치창은 유의적으로 창상 표면이 거의 재생성 상피로 덮였으며, 육아조직은 창상 유발 14일 후와 비교해서 유의적으로 교원질 섬유로 대체되었다. 위의 모든 결과에서 보듯이, 개에서 전층피부 창상의 처치 시 HG의 사용은 HC와 생리 식염수에 비해 창상치유 복구기의 치유 속도를 촉진하는 것으로 사료된다.시범학교의 자녀를 들 부모들은 환경관련문제에 대한 의식 및 환경관련 제품에 대한 구매행동의 변화가 두드러지게 나타났다.EX>$d^{2+}$ + SA처리구는 두 화합물의 이중 효과에 의해 전반적인 생리 활성을 억제하여, 결국에는 식물의 고사를 유도하는 것으로 사료된다.목에 대한 보안'이 가장 중요한 것으로 나타났다. 본 연구에서는 솔루션 선정요인에 관한 중요도를 e-마켓플레이스의 유형과 산업 별로 평가해보았는데, 여기에서 밝혀진 중요도를 통해 e 마켓플레이스를 구축하고 자 하는 기업은 솔루션을 자체 개발하거나 구입할 때 올바른 의사결정을 할 수 있다. 그리고 솔루션을 제공하려는 기업측면에서는 e-마켓플레이스를 구축하고자 하는 기업에게 유형과 산업별로 적절한 솔루션을 제공할 수 있다.순환이 뇌대사 및 수술 후 신경학적 결과에 보다 유익한 효과를 제공해 줄 수 있음

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Preparation and Physicochemical Characteristics of Anchovy Hydrolysates Produced by High Hydrostatic Pressure and Enzymatic Hydrolysis Treatment (고압/효소분해 처리에 의한 멸치 가수분해물의 제조 및 특성분석)

  • Kim, Min-Ji;NahmGung, Bae;Kim, Bok-Nam;Lee, Soo-Jeong;Kim, Chul-Jin;Cho, Yong-Jin;Kim, Chong-Tai
    • Food Engineering Progress
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    • v.13 no.2
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    • pp.85-91
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    • 2009
  • High hydrostatic pressure and enzymatic hydrolysis (HPEH) was applied to anchovy in order to produce a natural seasoning ingredient. Total soluble solid, amino nitrogen, total nitrogen and the degree of hydrolysis of anchovy hydrolysates were investigated depending on the process parameters such as temperature, pressure, enzyme concentration and enzyme type. The optimal condition for anchovy hydrolysis was confirmed as temperature 50$^{\circ}C$, reaction time 24 hrs, pressure 50 MPa and enzyme concentration 0.6% in HPEH treatment. HPEH treatment showed more effective in overall properties of anchovy hydrolysis than those of control. All anchovy hydrolysates produced by HPEH treatment were increased more 1.5-2.6 times of total free amino acid than that of control. From these results, the HPEH treatment appears to be an effective and economic process to produce a natural seasoning ingredients.

Implementation of Phenotype Trait Management System using OpenCV (OpenCV를 이용한 표현체 특성관리 시스템 구현)

  • Choi, Seung Ho;Park, Geon Ha;Yang, Oh Seok;Lee, Chang Woo;Kim, Young Uk;Lee, Eun Gyeong;Baek, Jeong Ho;Kim, Kyung Hwan;Lee, Hong Ro
    • Journal of Korea Society of Industrial Information Systems
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    • v.25 no.6
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    • pp.25-32
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    • 2020
  • The seed, the most basic component, is an important factor in increasing production and efficiency in agriculture. Seeds with superior genes can be expected to improve agricultural productivity, crop survival, and reproduction. Currently, however, screening of superior seeds depends mostly on manual work, which requires a lot of time and manpower. In this paper, we propose a system that can extract the characteristics of seed phenotypes by using computer image processing technology, so that even a small number of people and a short period of time are needed to extract the characteristics of seeds. The proposed system detects individual seeds from images containing large quantities of seeds, and extracts and stores various characteristics such as representative colors, area, perimeter and roundness for each individual seed. Due to the regularity of input images, the accuracy of individual seed extraction in the proposed system is 99.12% for soybean seeds and 99.76% for rice seeds. The extracted data will be used as basic data for various data analyses that reflect the opinions of experts in the future, and will be used as basic data to determine the expressive nature of each seed.

Dietary Iron Intake of Koreans Estimated using 2 Different Sources of Iron Contents are Comparable: Food & Nutrient Database and Iron Contents of Cooked Foods in the Korean Total Diet Study (우리 국민의 철 섭취량 평가: 식품별 영양성분 함량자료와 한국형 총식이조사 기반 추정량 비교)

  • Lee, Jeeyeon;Kwon, Sung Ok;Yeoh, Yoonjae;Seo, Min Jeong;Lee, Gae Ho;Kim, Cho-il
    • Korean Journal of Community Nutrition
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    • v.27 no.3
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    • pp.245-253
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    • 2022
  • Objectives: This study was conducted to find out if the dietary iron intake of Koreans estimated by 2 different methods (iron content sources) using the food intake data from the Korea National Health and Nutrition Examination Survey (KNHANES) are comparable. One method was based on the KNHANES's Food & Nutrient Database (FND) derived mainly from the Korean Food Composition Table and the other used the iron content (IC) of food samples processed in the Korean Total Diet Study (KTDS). Methods: Dietary intake data from the 2013-2016 KNHANES was used to select representative foods (RFs) in KTDS for iron analysis. Selection of the RFs and cooking methods for each RF (RF × cooking method pair) was performed according to the 'Guidebook for Korean Total Diet Studies' and resulted in a total of 132 RFs and 224 'RF × cooking method' pairs. RFs were collected in 9 metropolitan cities nationwide once or twice (for those with seasonality) in 2018 and made into 6 composites each, based on the origin and season prior to cooking. Then, the RF composites prepared to a 'table ready' state for KTDS were analyzed by Inductively Coupled Plasma-Mass Spectrometry (ICP-MS). Dietary iron intake of the Korean population was estimated using only RFs' intake data based on the 2 sources of iron content, namely FND-KNHANES and IC-KTDS. Results: RFs in KTDS covered 92.0% of total food intake of Koreans in the 2016-2018 KNHANES. Mean iron intake of Koreans was 7.77 mg/person/day by IC-KTDS vs 9.73 mg/person/day by FND-KNHANES. The major food groups contributing to iron intake were meats (21.7%), vegetables (20.5%), and grains & cereals (13.4%) as per IC-KTDS. On the other hand, the latter source (FND-KNHANES) resulted in a very different profile: grains & cereals (31.1%), vegetables (16.8%), and meats (15.3%). While the top iron source was beef, accounting for 8.6% in the former, it was polished rice (19.2%) in the latter. There was a 10-fold difference in the iron content of polished rice between 2 sources that iron intakes excluding the contribution by polished rice resulted in very similar values: 7.58 mg/person/day by IC-KTDS and 7.86 mg/person/day by FND-KNHANES. Conclusions: This study revealed that the dietary iron intake estimated by 2 different methods were quite comparable, excluding one RF, namely polished rice. KTDS was thus proven to be a useful tool in estimating a 'closer-to-real' dietary intake of nutrients for Koreans and further research on various nutrients is warranted.

A Study of Factors Affecting the Amount of Children's YouTube Use (어린이의 유튜브 이용량에 미치는 영향 요인 연구)

  • Joe, Su-San;Kim, Bong-Hyun
    • Journal of Korea Entertainment Industry Association
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    • v.15 no.7
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    • pp.45-57
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    • 2021
  • The purpose of this study is to identify what factors have impacts on the amount of YouTube viewing. In doing so, usage type, children's levels of self-control on viewing, parent's perception of media contents, and parental mediation style were investigated by age. The result of the study showed no significant differences of the amount of use by the different age groups. There were, however, significant differences in terms of subscription status(non subscription based vs. subscription-based viewing), level of self-control, perception of content, and parent's mediations (technology, supervision, and guidance). Given the amount of YouTube use, the subscription status and parent's supervision were significantly influential factors for the age group of 3-4 years old. For the age group of 5-6, subscription status, levels of self-control, and mediation of parent's supervision and guidance were influential factors. For the age of 7-9, subscription status, the level of self control, and premium service were significantly influential. Finding similarities and differences in meaningful variables by age group suggests that different strategies should be used to reduce the amount of children's YouTube use. In addition, it raises the need for a more detailed classification of children's YouTube usage methods, which have not been addressed so far, and the need for research on the influence of these methods.

A Study on the Subject Selection of Adjunct-Structure in 『Zi-Ping-Zhen-Quan』 (『자평진전』 겸격(兼格)의 주체 선정에 관한 연구)

  • Won-Ho Choi;Ki-Seung Kim
    • Industry Promotion Research
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    • v.8 no.3
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    • pp.153-162
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    • 2023
  • Shen-Xiao-Zhan's 『Zi-Ping-Zhen-Quan』, which is called a commentary on Chart-Structure in MyungLiollgy, After selecting the Chart-Structure and classifying the good luck and bad luck of the case, the Phase-usage is set up according to the principle of Shun reverse. At this time, if two or more the sky symbol hidden in the ground of Monthly intertwine to form several Structure and become Adjunct-Structure, the subject of Structure must be finally known to set up Phase-usage and succeed Structure and failure can be judged. However, in 『Zi-Ping-Zhen-Quan』, only the structure and meaning of Adjunct-Structure were explained, and the method of determining the final subject of Adjunct-Structure was not described. This researcher reviewed various literatures for a study on selecting the subject of Adjunct-Structure, and compared and analyzed various actual cases of Adjunct-Structure by dividing them into Monthly and Chart-Structure. Common results related to the type of sign of the land that met with Monthly, the energy force of the sky sign projected from the sky symbol hidden underground in Monthly and the strength and weakness of the body were drawn. and the law was organized subjectively. It is believed that the results of this study will serve as an opportunity to reduce the confusion of Adjunct-Structure.

Development of Market Growth Pattern Map Based on Growth Model and Self-organizing Map Algorithm: Focusing on ICT products (자기조직화 지도를 활용한 성장모형 기반의 시장 성장패턴 지도 구축: ICT제품을 중심으로)

  • Park, Do-Hyung;Chung, Jaekwon;Chung, Yeo Jin;Lee, Dongwon
    • Journal of Intelligence and Information Systems
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    • v.20 no.4
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    • pp.1-23
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    • 2014
  • Market forecasting aims to estimate the sales volume of a product or service that is sold to consumers for a specific selling period. From the perspective of the enterprise, accurate market forecasting assists in determining the timing of new product introduction, product design, and establishing production plans and marketing strategies that enable a more efficient decision-making process. Moreover, accurate market forecasting enables governments to efficiently establish a national budget organization. This study aims to generate a market growth curve for ICT (information and communication technology) goods using past time series data; categorize products showing similar growth patterns; understand markets in the industry; and forecast the future outlook of such products. This study suggests the useful and meaningful process (or methodology) to identify the market growth pattern with quantitative growth model and data mining algorithm. The study employs the following methodology. At the first stage, past time series data are collected based on the target products or services of categorized industry. The data, such as the volume of sales and domestic consumption for a specific product or service, are collected from the relevant government ministry, the National Statistical Office, and other relevant government organizations. For collected data that may not be analyzed due to the lack of past data and the alteration of code names, data pre-processing work should be performed. At the second stage of this process, an optimal model for market forecasting should be selected. This model can be varied on the basis of the characteristics of each categorized industry. As this study is focused on the ICT industry, which has more frequent new technology appearances resulting in changes of the market structure, Logistic model, Gompertz model, and Bass model are selected. A hybrid model that combines different models can also be considered. The hybrid model considered for use in this study analyzes the size of the market potential through the Logistic and Gompertz models, and then the figures are used for the Bass model. The third stage of this process is to evaluate which model most accurately explains the data. In order to do this, the parameter should be estimated on the basis of the collected past time series data to generate the models' predictive value and calculate the root-mean squared error (RMSE). The model that shows the lowest average RMSE value for every product type is considered as the best model. At the fourth stage of this process, based on the estimated parameter value generated by the best model, a market growth pattern map is constructed with self-organizing map algorithm. A self-organizing map is learning with market pattern parameters for all products or services as input data, and the products or services are organized into an $N{\times}N$ map. The number of clusters increase from 2 to M, depending on the characteristics of the nodes on the map. The clusters are divided into zones, and the clusters with the ability to provide the most meaningful explanation are selected. Based on the final selection of clusters, the boundaries between the nodes are selected and, ultimately, the market growth pattern map is completed. The last step is to determine the final characteristics of the clusters as well as the market growth curve. The average of the market growth pattern parameters in the clusters is taken to be a representative figure. Using this figure, a growth curve is drawn for each cluster, and their characteristics are analyzed. Also, taking into consideration the product types in each cluster, their characteristics can be qualitatively generated. We expect that the process and system that this paper suggests can be used as a tool for forecasting demand in the ICT and other industries.

Citizens' Consciousness on Urban Changes in Large Cities in the 1990s(1) : A Comparative Study on Urban Social Sectors (1990년대 대도시의 변화에 관한 시민 의식 연구(1) : 사회 부문별 비교)

  • Choi, Byung-Doo;Lee, Kyung-Ja;Choi, Gum-Ae
    • Journal of the Korean association of regional geographers
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    • v.10 no.2
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    • pp.428-446
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    • 2004
  • This paper is to analyze citizens' consciousness on urban changes during the 1900s in the sectors of economy, politics and socio-culture of large cities in Korea, especially comparing them in Seoul, Daejeon, Daegu, and Kywangju. The items of questionnaire are drawn from theories on each sector of new urbanization of large city in Western countries, that is, that of post-Fordism, of urban governance, of post-modernism, and of sustainable city. Some major findings of this questionnaire analysis are as follows. First, on the change of large cities in general, citizens think that the sectors of spatial structure, and of socio-culture of the cities were changed more than those of urban economy and of urban politics. Secondly, in the sector of urban economy, citizens recognize that the obstructing factors of development, that is, the lack of regional capital and the absence of head-quarter of large firms, which seems to be resulted from uneven regional development in the previous periods were much more serious than others, while acknowledging the importance of high-tech industry. Thirdly, in the sector of urban politics, citizens think that the centralized structure of politics and of political parties was still problematic, while acknowledging the importance of entrepreneur mind of urban governor. Finally, in the sector of urban socio-culture, citizens emphasize the development of telecommunication, the popularization of private automobile and the increasing use of credit card, as three major factors which have exercised major impacts on the development of urban socio-culture.

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The Comparative Study between Korean and Indian Students regarding Relationship among Self-leadership Types, Performance and Class Attendance Attitudes (학습태도를 매개변수로 한 셀프리더십 유형과 학업성과간 관계: 한국과 인도간 비교연구)

  • Park, Ki-Ho;Park, Sang-Hyeok
    • Journal of Digital Convergence
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    • v.9 no.4
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    • pp.253-265
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    • 2011
  • A number of organizations have had big interests in studies concerning leadership and not only academia but also psychological areas do also. Until now, leadership has been accentuated by managers or team leaders especially. Recently, however, the concept of self-leadership directing one's own activities through self-control or self-management is being focused on in practices and in academia. This study is to investigate the influence between self-leadership strategies as predictors and learning performance in IT classes as dependents variables mediated by attitude of attendance focused on the social science students in two universities (Korea(116 samples) and India(36 samples)). And this research tried to compare difference between two university students. As a result of empirical analysis, Korean learners making an effort by themselves show a tendency to think constructively. Namely, even though the level of difficulty may be high, by positive self-talk, respondents usually make an effort to get high academic performance. In case of Indian respondents, students who are in behavior-oriented show higher academic performance. Research results can give us direction of task-taking attitudes in firms or learning attitudes in teaching organizations and implications to human resource managers who are in charge of improving learning performance or productivity.

Optimization of drying conditions for the conversion of 6-gingerol to 6-shogaol under subcritical water extraction from ginger (아임계수 추출에서 6-gingerol의 6-shogaol 전환을 위한 생강 건조 조건 최적화)

  • Ko, Min-Jung;Nam, Hwa-Hyun;Chung, Myong-Soo
    • Korean Journal of Food Science and Technology
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    • v.51 no.5
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    • pp.447-451
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    • 2019
  • 6-gingerol can be converted to 6-shogaol, one of the predominant active compounds found in ginger, via processing such as drying and extraction. Subcritical water extraction is the environmentally friendly method of extraction of bioactive compounds using only purified water as a solvent. This study investigated subcritical water extraction ($190^{\circ}C$, 15 min) of 6-gingerol, and 6-shogaol from dried ginger (Zingiber officinale) including drying conditions such as temperature (room temperature, 60, $80^{\circ}C$, and freeze drying) and time duration for drying (1-4 h). The amount of 6-gingerol was found to be reduced, and that of 6-shogaol was found to be increased depending upon the water content of dried ginger. Upon oven-drying ginger at $60^{\circ}C$ for 2 h, the maximum yields of 6-gingerol ($0.18{\pm}0.02mg/g$ fresh weight), and 6-shogaol ($0.47{\pm}0.02mg/g$ fresh weight) were obtained upon subcritical water extraction.