• Journal of the Korean Society of Food Science and Nutrition
• /
• v.37 no.3
• /
• pp.317-324
• /
• 2008

This study was performed in order to investigate perceptions on environment and environment-friendly agricultural products, knowledge level and opinion about these products. The subjects were 387 college students in Seoul and Incheon area. This survey was conducted by self-administered questionnaire. The statistical analysis was conducted using the SPSS 12.0 program. Male subjects were 53.2% and female subjects were 46.8%. 52.9% of the subjects have knowledge about environment-friendly agricultural products. Also 50.9% of the subjects knew certification label of environment-friendly agricultural products whereas 13.4% knew certification authority of environment-friendly agricultural products. The average scores of 'image of environment-friendly agricultural products', 'attitude towards environment', 'attitude towards agrichemical' were $3.84{\pm}0.68,\;3.51{\pm}0.73\;and\;3.58{\pm}0.87$, respectively. In regard to 'image of environment- friendly agricultural products', the scores were significantly affected by gender (p<0.05), self-recognition of health status (p<0.05) and self-knowledge about environment-friendly agricultural products (p<0.001). In regard to 'attitude towards environment', the scores were significantly affected by self-recognition of health status (p<0.05), self-knowledge about environment-friendly agricultural products (p<0.001), and information about environment friendly agricultural products certificate authority (p<0.01). In regard to 'attitude towards agrichemical', the scores were significantly affected by gender (p<0.001), self-recognition of health status (p<0.05), supplements for health (p<0.05) and self-knowledge about environment-friendly agricultural products (p<0.001). Therefore, various education programs on environment-friendly agricultural products are necessary for college students to make right food choices.

• The Korean Journal of Air & Space Law and Policy
• /
• v.29 no.1
• /
• pp.199-236
• /
• 2014

This paper analyses from the perspective of distributive justice the legal mechanisms for international allocation of orbital slots, which are of co-owned nature and thereby limited natural resources in outer space. The allocative function is delegated to the International Telecommunication Union. The Radio Regulation, amongst such other legal instruments as the Constitution and Convention, by which the ITU and contracting States thereof abides, dictates how the orbital positions are distributed. Thus, the RR is thoroughly reviewed in the essay. The mechanisms are in a broad sense categorized into two systems: 'a posteriori system' where the 'first come, first served' principle prevails; and 'a priori system' designed to foster the utilisation of the slots by those who lack space resources and are, in especial, likely to be marginalised under the former system. The argument proceeds on the premise that a posteriori system places the under-resourced States in unfavourable positions in the securement of the slots. In contrast with this notion, seven factors were instantiated for an assertion that the degradation of the distributive justice derived from the 'first come, first served' rule, which lays the foundation for the system, could be either mitigated or counterbalanced by the alleged exceptions to the rule. However, the author of this essay argues for counterevidences against the factors and thereby demonstrating that the principle still remains as an overwhelming doctrine, posing a threat to the pursuit of fair allocation. The elements he set forth are as in the following: 1) that the 'first come, first served' principle only applies to assignments capable of causing harmful interferences; 2) the interoperability of the principle with the 'rule of conformity' with the all the ITU instruments; 3) the viability of alternative registrations, as an exception of the application of the principle, on the condition of provisional and informational purposes; 4) another reference that matters in deciding the priority: the types of services in the TFA; 5) the Rule of Procedure H40 proclaiming a ban on taking advantage of coming first to the Register; 6) the technical factors and equity-oriented norms under international and municipal laws along with; 7) the changes of 'basic characteristics' of registered assignments. The second half of this essay illustrates by examining the relevant Annexes to the Regulation that the planned allocation, i.e., a priori system, bear the structured flaws that hinder the fulfillment of the original purpose of the system. The Broadcasting and Fixed Satellite Systems are the reviewed Plans in which the 'first come, first served' principle re-emerges in the end as a determining factor to grant the 'right to international recognition' to administrations including those who has not the allotted portions in the Plan.

• Journal of Technology Innovation
• /
• v.2 no.1
• /
• pp.1-57
• /
• 1994

본 고는 지속적 개발 론에 입각한 적극적인 에너지수요 관리정책을 추진한다는 전제하에 2001년과 2006년의 우리 나라 가정부문 전력수요를 전망하고자 한다. 본 고는 지속적 개발 시나리오를 추정함에 있어서 기존의 계량모형보다 일종의 공학적 모형인 공정분석(process analysis)을 선호한다. 계량모형이 주로 과거 수요의 소득 및 가격 탄성 치를 바탕으로 미래의 수요를 예측하는데 비하여 공정분석모형은 기술발전에 따른 미래의 효율변화(향상)를 비교적 잘 반영할 수 있기 때문이다. 본 고는 덴마크공과대학교 Norgard 교수팀이 개발한 모형을 도입하여 분석모형(수식 (6))을 전력수요 = 기기 수 $\times$ 전력서비스$\times$ 전력집약도와 같이 설정하고 이를 사용하여 냉장고, 텔레비전, 조명 기기, 난방기기 등과 같은 전력사용 기기 별로 2001년과 2006년이 전력수요를 전망하였다. 본 고는 전력수요를 전력사용 기기의 사용용량(300리터 용량의 냉장고 등)과 사용시간을 나타내는 전력서비스와 전력 서비스당 필요 전력사용량을 나타내는 전력집약도로 나누어 구분하고 있는 모형을 이용함으로써 소득향상효과와 함께 기술발전에 따른 효율개선효과를 분석할 수 있다. 1) 생활수준 향상에 따라 전력서비스는 지금과 같이 증가한다, 2) 현실적으로 가능한 범위 내에서 전력사용 기기에 대한 최저 에너지 효율 제를 실시한다, 3) 현재 사용중인 기기 들은 원칙적으로 수명이 다한 후 고효율 기기 들로 자연 교체한다, 4) 최저 에너지 효율 제를 제외한 다른 제도 및 정책개선, 사용자의 에너지소비형태 개선에 따른 절전 잠재 량을 고려하지 않는다 등의 가정 하에 전력수요를 추정한 결과 1992년에 796 GWh(100)이었던 우리 나라 가정부문 전력수요는 2001년과 2006년에 29,237 GWh(134)와 33,118 GWh(152)로 각각 34%와 52%증가할 것으로 나타났다. 이 경우 1992년부터 2006년까지 가정용 전력수요 증가율은 연평균 3%로 추정된다. 기기의 서비스(가구수$\times$기기의 보급 율$\times$기기의 전력서비스)가 소득향상에 따라 증가하는데도 불구하고 전력수요의 증가율이 GDP(같은 기간 동안 연평균 증가율 5.7%)보다 매우 낮은 것은 기기의 대형화와 기기의 보급을 증가에 따른 전력의 추가수요가 기기의 에너지효율 개선으로 대부분 상쇄될 것이기 때문이다. 향후 10년 내에 기기에 따라 전력사용량을 25%~50%정도까지 줄일 수 있을 것으로 분석된다. 기술발전에 따른 기기의 에너지효율 개선효과는 본 고의 2006년도 가정용 전력수요의 전망치 33,118 GWh가 기존방식에 의한 한전의 전망치 61,155 GWh의 54%수준밖에 되지 않는데 서도 잘 나타나고 있다. 한편 본 고는 경제성장과 환경보존을 동시에 달성할 수 있는 지속적 개발의 실천방안으로서 에너지 수요관리를 논하고자 한다. 고효율 기기의 개발과 조기도입을 촉진시키는 에너지 수요관리 통하여 우리는 에너지효율을 대폭 개선시키며 대기오염 배출량도 대폭 줄일 수 있다. 본 고는 에너지 공급관리(공급확충)위주에서 에너지 수요관리위주로서의 에너지정책 전환은 불가피하다고 판단한다. 에너지 공급시스템보다 에너지 수요시스템위주로 전체 에너지시스템을 획기적으로 개선시키기 위해서는 최저 에너지효율제의 광범위한 실시와 함께 고효율 기기의 개발과 보급에 필요한 유인책의 도입, 고효율 기기와 에너지의 효율적 이용에 대한 정보 등이 필요시 되고 있다. 우리 나라의 경우 현재의 산업구조와 기술수준을 고려하여 에너지 효율의 기준을 미국보다 다소 낮게 설정한다면 최저 에너지효율제의 도입이 문제가 되지 않을 것으로 판단된다. 본 고는 고효율 기기의 개발과 조기도입을 지원하기 위한 가칭 대기환경보존 및 에너지 수요관리기금의 창설을 제안한다. 전력부문의 경우 기금은 1. 탄소세, 2. 전력소비에 대한 수요 관리 세의 도입 혹은 3. 한국전력공사 전력판매수입의 일정 분으로 조성될 수 있을 것으로 본다. 예를 들어 선진국들이 탄소세를 예정대로 도입한다는 전제하에 우리 나라가 2000년을 기준으로 탄소 톤당 8달러(석유 배럴 당 85센트)의 탄소세를 도입한다면 연간 7억 2,000만 달러(약5,760억 원)규모의 기금을 조성할 수 있다. 이 중 연간 2,000억 원 정도를 고효율 기기의 개발과 조기도입에 지원한다면 우리 나라 에너지 시스템 효율은 대폭 개선될 수 있을 것으로 예상된다.

• The Korean Journal of Archival Studies
• /
• no.23
• /
• pp.141-178
• /
• 2010

The Administration of Labor was responsible for the technical and practical functions like policy-making of labor matters and implementing the relevant laws. However, there has been a few record transferred to the National Archives to help find out the labor policy-making process. This is one of the typical examples that shows the discontinuity and unbalance, and disorderly filing of the administrative records in Korea. Naturally it is almost impossible to retrieve the appropriate content through the records file-name. Users should be at the trouble to compare the record items and their content one by one. For the re-organization of the Administration of Labor' records, this research suggests the four-level analysis of functions of the Administration. The Administration of Labor' survived records could be linked to each level function. And the publication of the 'Records Abstract Catalog' providing users with more information about the records would pave the way for easier access to the records. In addition, it also suggests the logical re-filing of the survived records of which we cannot find the order or sequence. This re-organization of the survived records would help to establish the acquisition and appraisal policy of the labor records as well as the new way of description and finding tool hereafter. Drawing up labor history map is a starting point for the acquisition strategy of the labor records, which could allow users to gain systematic access on the survived records. Of course, extensive investigation and research on the survived records is a prerequisite for the map. It would be required to research on the survived records of the other government agencies, including economic-social area ministries and investigation agencies and the National Assembly as well. It is also needed to arrange and typify the significant incidents and activities on thematic and periodic frames in the labor history. If possible to understand or connect the survived records and these accomplishments comprehensively, it would be of great help for the acquisition of the labor records and the related oral records projects.

• Korean Journal of Heritage: History & Science
• /
• v.48 no.2
• /
• pp.142-157
• /
• 2015

This study examines how traditional knowledge functions in the specific techniques to make pottery in terms of the traditional knowledge on the pottery techniques of Onggi potters. It focuses on how traditional pottery manufacturing skills are categorized and what aspects are observed with regard to the techniques. The pottery manufacturing process is divided into the preparation step of raw material, the molding step of pottery, and the final plasticity step. Each step involves unique traditional knowledge. The preparation step mainly comprises the knowledge on different kinds of mud. The knowledge is about the colors and properties of mud, the information on the regional distribution of quality mud, and the techniques to optimize mud for pottery manufacturing. The molding step mainly involves the structure and shape of spinning wheels, the techniques to accumulate mud, ways to use different kinds of tools, the techniques to dry processed pottery. The plasticity step involves the knowledge on kilns and the scheme to build kilns, the skills to stack pottery inside of the kilns, the knowledge on firewood and efficient ways of wood burning, the discrimination of different kinds of fire and the techniques to stoke the kilns. These different kinds of knowledge may be roughly divided into three categories : the preparation of raw material, molding, and plasticity. They are closely connected with one another, which is because it becomes difficult to manufacture quality pottery even with only one incorrect factor. The contents of knowledge involved in the manufacturing process of pottery focused are mainly about raw material, color, shape, distribution aspect, fusion point, durability, physical property, etc, which are all about science. They are rather obtained through the experimental learning process of apprenticeship, not through the official education. It is not easy to categorize the knowledge involved. Most of the knowledge can be understood in the category of ethnoscience. In terms of the UNESCO world heritage of intangible cultural assets, the knowledge is mainly about 'the knowledge on nature and universe'. Unique knowledge and skills are, however, identified in the molding step. They can be referred to 'body techniques', which unify the physical stance of potters, tools they employ, and the conceived pottery. Potters themselves find it difficult to articulate the knowledge. In case stated, it cannot be easily understood without the experience and knowledge on the field. From the preparation of raw material to the complete products, the techniques and traditional knowledge involved in the process of manufacturing pottery are closely connected, employing numerous categories and levels. Such an aspect can be referred to as a 'techniques chain'. Here the techniques mean not only the scientific techniques but also, in addition to the skills, the knowledge of various techniques and levels including habitual, unconscious behaviors of potters.

• Journal of Practical Agriculture & Fisheries Research
• /
• v.21 no.1
• /
• pp.99-114
• /
• 2019

In this study we examined the preferences of eight college living factors for students at Korea National College of Agriculture and Fisheries(KNCAF). Analytical techniques of unstructured data used opinion mining and text mining techniques, and the analysis results of text mining were visualized as word cloud. The college life factors included eight topics that were closely related to students: 'my present', 'my 10 years later', 'friendship', 'college festival', 'student restaurant', 'college dormitory', 'KNCAF', and 'long-term field practice'. In the text submitted by the students, we have established a dictionary of positive words and negative words to evaluate the preference by classifying the emotions of positive and negative. As a result, KNCAF students showed more than 85% positive emotions about the theme of 'student restaurant' and 'friendship'. But students' positive feelings about 'long-term field practice' and 'college dormitory' showed the lowest satisfaction rate of not exceeding 60%. The rest of the topics showed satisfaction of 69.3~74.2%. The gender differences showed that the positive emotions of male students were high in the topics of 'my present', 'my 10 years later', 'friendship', 'college dormitory' and 'long-term field practice'. And those of female were high in 'college festival', 'student restaurant' and 'KNCAF'. In addition, using text mining technique, the main words of positive and negative words were extracted, and word cloud was created to visualize the results.

• Journal of Intelligence and Information Systems
• /
• v.18 no.4
• /
• pp.117-127
• /
• 2012

Due to the recent expansion of the Web 2.0 -based services, along with the widespread of smartphones, online social network services are being popularized among users. Online social network services are the online community services which enable users to communicate each other, share information and expand human relationships. In the social network services, each relation between users is represented by a graph consisting of nodes and links. As the users of online social network services are increasing rapidly, the SNS are actively utilized in enterprise marketing, analysis of social phenomenon and so on. Social Network Analysis (SNA) is the systematic way to analyze social relationships among the members of the social network using the network theory. In general social network theory consists of nodes and arcs, and it is often depicted in a social network diagram. In a social network diagram, nodes represent individual actors within the network and arcs represent relationships between the nodes. With SNA, we can measure relationships among the people such as degree of intimacy, intensity of connection and classification of the groups. Ever since Social Networking Services (SNS) have drawn increasing attention from millions of users, numerous researches have made to analyze their user relationships and messages. There are typical representative SNA methods: degree centrality, betweenness centrality and closeness centrality. In the degree of centrality analysis, the shortest path between nodes is not considered. However, it is used as a crucial factor in betweenness centrality, closeness centrality and other SNA methods. In previous researches in SNA, the computation time was not too expensive since the size of social network was small. Unfortunately, most SNA methods require significant time to process relevant data, and it makes difficult to apply the ever increasing SNS data in social network studies. For instance, if the number of nodes in online social network is n, the maximum number of link in social network is n(n-1)/2. It means that it is too expensive to analyze the social network, for example, if the number of nodes is 10,000 the number of links is 49,995,000. Therefore, we propose a heuristic-based method for finding the shortest path among users in the SNS user graph. Through the shortest path finding method, we will show how efficient our proposed approach may be by conducting betweenness centrality analysis and closeness centrality analysis, both of which are widely used in social network studies. Moreover, we devised an enhanced method with addition of best-first-search method and preprocessing step for the reduction of computation time and rapid search of the shortest paths in a huge size of online social network. Best-first-search method finds the shortest path heuristically, which generalizes human experiences. As large number of links is shared by only a few nodes in online social networks, most nods have relatively few connections. As a result, a node with multiple connections functions as a hub node. When searching for a particular node, looking for users with numerous links instead of searching all users indiscriminately has a better chance of finding the desired node more quickly. In this paper, we employ the degree of user node vn as heuristic evaluation function in a graph G = (N, E), where N is a set of vertices, and E is a set of links between two different nodes. As the heuristic evaluation function is used, the worst case could happen when the target node is situated in the bottom of skewed tree. In order to remove such a target node, the preprocessing step is conducted. Next, we find the shortest path between two nodes in social network efficiently and then analyze the social network. For the verification of the proposed method, we crawled 160,000 people from online and then constructed social network. Then we compared with previous methods, which are best-first-search and breath-first-search, in time for searching and analyzing. The suggested method takes 240 seconds to search nodes where breath-first-search based method takes 1,781 seconds (7.4 times faster). Moreover, for social network analysis, the suggested method is 6.8 times and 1.8 times faster than betweenness centrality analysis and closeness centrality analysis, respectively. The proposed method in this paper shows the possibility to analyze a large size of social network with the better performance in time. As a result, our method would improve the efficiency of social network analysis, making it particularly useful in studying social trends or phenomena.

• Journal of Intelligence and Information Systems
• /
• v.25 no.1
• /
• pp.163-177
• /
• 2019

As smartphones are getting widely used, human activity recognition (HAR) tasks for recognizing personal activities of smartphone users with multimodal data have been actively studied recently. The research area is expanding from the recognition of the simple body movement of an individual user to the recognition of low-level behavior and high-level behavior. However, HAR tasks for recognizing interaction behavior with other people, such as whether the user is accompanying or communicating with someone else, have gotten less attention so far. And previous research for recognizing interaction behavior has usually depended on audio, Bluetooth, and Wi-Fi sensors, which are vulnerable to privacy issues and require much time to collect enough data. Whereas physical sensors including accelerometer, magnetic field and gyroscope sensors are less vulnerable to privacy issues and can collect a large amount of data within a short time. In this paper, a method for detecting accompanying status based on deep learning model by only using multimodal physical sensor data, such as an accelerometer, magnetic field and gyroscope, was proposed. The accompanying status was defined as a redefinition of a part of the user interaction behavior, including whether the user is accompanying with an acquaintance at a close distance and the user is actively communicating with the acquaintance. A framework based on convolutional neural networks (CNN) and long short-term memory (LSTM) recurrent networks for classifying accompanying and conversation was proposed. First, a data preprocessing method which consists of time synchronization of multimodal data from different physical sensors, data normalization and sequence data generation was introduced. We applied the nearest interpolation to synchronize the time of collected data from different sensors. Normalization was performed for each x, y, z axis value of the sensor data, and the sequence data was generated according to the sliding window method. Then, the sequence data became the input for CNN, where feature maps representing local dependencies of the original sequence are extracted. The CNN consisted of 3 convolutional layers and did not have a pooling layer to maintain the temporal information of the sequence data. Next, LSTM recurrent networks received the feature maps, learned long-term dependencies from them and extracted features. The LSTM recurrent networks consisted of two layers, each with 128 cells. Finally, the extracted features were used for classification by softmax classifier. The loss function of the model was cross entropy function and the weights of the model were randomly initialized on a normal distribution with an average of 0 and a standard deviation of 0.1. The model was trained using adaptive moment estimation (ADAM) optimization algorithm and the mini batch size was set to 128. We applied dropout to input values of the LSTM recurrent networks to prevent overfitting. The initial learning rate was set to 0.001, and it decreased exponentially by 0.99 at the end of each epoch training. An Android smartphone application was developed and released to collect data. We collected smartphone data for a total of 18 subjects. Using the data, the model classified accompanying and conversation by 98.74% and 98.83% accuracy each. Both the F1 score and accuracy of the model were higher than the F1 score and accuracy of the majority vote classifier, support vector machine, and deep recurrent neural network. In the future research, we will focus on more rigorous multimodal sensor data synchronization methods that minimize the time stamp differences. In addition, we will further study transfer learning method that enables transfer of trained models tailored to the training data to the evaluation data that follows a different distribution. It is expected that a model capable of exhibiting robust recognition performance against changes in data that is not considered in the model learning stage will be obtained.

• Korean Journal of Heritage: History & Science
• /
• v.39
• /
• pp.351-378
• /
• 2006

With the development of media, the methods for the documentation of intangible cultural heritage have been also developed and diversified. As well as the previous analogue ways of documentation, the have been recently applying new multi-media technologies focusing on digital pictures, sound sources, movies, etc. Among the new technologies, the documentation of intangible cultural heritage using the method of 'Motion Capture' has proved itself prominent especially in the fields that require three-dimensional documentation such as dances and performances. Motion Capture refers to the documentation technology which records the signals of the time varing positions derived from the sensors equipped on the surface of an object. It converts the signals from the sensors into digital data which can be plotted as points on the virtual coordinates of the computer and records the movement of the points during a certain period of time, as the object moves. It produces scientific data for the preservation of intangible cultural heritage, by displaying digital data which represents the virtual motion of a holder of an intangible cultural heritage. National Research Institute of Cultural Properties (NRICP) has been working on for the development of new documentation method for the Important Intangible Cultural Heritage designated by Korean government. This is to be done using 'motion capture' equipments which are also widely used for the computer graphics in movie or game industries. This project is designed to apply the motion capture technology for 3 years- from 2005 to 2007 - for 11 performances from 7 traditional dances of which body gestures have considerable values among the Important Intangible Cultural Heritage performances. This is to be supported by lottery funds. In 2005, the first year of the project, accumulated were data of single dances, such as Seungmu (monk's dance), Salpuri(a solo dance for spiritual cleansing dance), Taepyeongmu (dance of peace), which are relatively easy in terms of performing skills. In 2006, group dances, such as Jinju Geommu (Jinju sword dance), Seungjeonmu (dance for victory), Cheoyongmu (dance of Lord Cheoyong), etc., will be documented. In the last year of the project, 2007, education programme for comparative studies, analysis and transmission of intangible cultural heritage and three-dimensional contents for public service will be devised, based on the accumulated data, as well as the documentation of Hakyeonhwadae Habseolmu (crane dance combined with the lotus blossom dance). By describing the processes and results of motion capture documentation of Salpuri dance (Lee Mae-bang), Taepyeongmu (Kang seon-young) and Seungmu (Lee Mae-bang, Lee Ae-ju and Jung Jae-man) conducted in 2005, this report introduces a new approach for the documentation of intangible cultural heritage. During the first year of the project, two questions have been raised. First, how can we capture motions of a holder (dancer) without cutoffs during quite a long performance? After many times of tests, the motion capture system proved itself stable with continuous results. Second, how can we reproduce the accurate motion without the re-targeting process? The project re-created the most accurate motion of the dancer's gestures, applying the new technology to drew out the shape of the dancers's body digital data before the motion capture process for the first time in Korea. The accurate three-dimensional body models for four holders obtained by the body scanning enhanced the accuracy of the motion capture of the dance.

• Korean Journal of Poultry Science
• /
• v.46 no.2
• /
• pp.65-75
• /
• 2019

A number of Korean native chicken(KNC) populations were registered in FAO (Food and Agriculture Organization) DAD-IS (Domestic Animal Diversity Information Systems, http://www.fao.org/dad-is). But there is a lack of scientific basis to prove that they are unique population of Korea. For this reason, this study was conducted to prove KNC's uniqueness using 25 Microsatellite markers. A total of 548 chickens from 11 KNC populations (KNG, KNB, KNR, KNW, KNY, KNO, HIC, HYD, HBC, JJC, LTC) and 7 introduced populations (ARA: Araucana, RRC and RRD: Rhode Island Red C and D, LGF and LGK: White Leghorn F and K, COS and COH: Cornish brown and Cornish black) were used. Allele size per locus was decided using GeneMapper Software (v 5.0). A total of 195 alleles were observed and the range was 3 to 14 per locus. The MNA, $H_{\exp}$, $H_{obs}$, PIC value within population were the highest in KNY (4.60, 0.627, 0.648, 0.563 respectively) and the lowest in HYD (1.84, 0.297, 0.286, 0.236 respectively). The results of genetic uniformity analysis suggested 15 cluster (${\Delta}K=66.22$). Excluding JJC, the others were grouped in certain cluster with high genetic uniformity. JJC was not grouped in certain cluster but grouped in cluster 2 (44.3%), cluster 3 (17.7%) and cluster8 (19.1%). As a results of this study, we can secure a scientific basis about KNC's uniqueness and these results can be use to basic data for the genetic evaluation and management of KNC breeds.