• 마케팅과학연구
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• 제18권3호
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• pp.59-88
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• 2008

Digital Convergence means integration between industry, technology, and contents, and in marketing, it usually comes with creation of new types of product and service under the base of digital technology as digitalization progress in electro-communication industries including telecommunication, home appliance, and computer industries. One can see digital convergence not only in instruments such as PC, AV appliances, cellular phone, but also in contents, network, service that are required in production, modification, distribution, re-production of information. Convergence in contents started around 1990. Convergence in network and service begins as broadcasting and telecommunication integrates and DMB(digital multimedia broadcasting), born in May, 2005 is the symbolic icon in this trend. There are some positive and negative expectations about DMB. The reason why two opposite expectations exist is that DMB does not come out from customer's need but from technology development. Therefore, customers might have hard time to interpret the real meaning of DMB. Time is quite critical to a high tech product, like DMB because another product with same function from different technology can replace the existing product within short period of time. If DMB does not positioning well to customer's mind quickly, another products like Wibro, IPTV, or HSPDA could replace it before it even spreads out. Therefore, positioning strategy is critical for success of DMB product. To make correct positioning strategy, one needs to understand how consumer interprets DMB and how consumer's interpretation can be changed via communication strategy. In this study, we try to investigate how consumer perceives a new product, like DMB and how AD strategy change consumer's perception. More specifically, the paper segment consumers into sub-groups based on their DMB perceptions and compare their characteristics in order to understand how they perceive DMB. And, expose them different printed ADs that have messages guiding consumer think DMB in specific ways, either cellular phone or personal TV. Research Question 1: Segment consumers according to perceptions about DMB and compare characteristics of segmentations. Research Question 2: Compare perceptions about DMB after AD that induces categorization of DMB in direction for each segment. If one understand and predict a direction in which consumer perceive a new product, firm can select target customers easily. We segment consumers according to their perception and analyze characteristics in order to find some variables that can influence perceptions, like prior experience, usage, or habit. And then, marketing people can use this variables to identify target customers and predict their perceptions. If one knows how customer's perception is changed via AD message, communication strategy could be constructed properly. Specially, information from segmented customers helps to develop efficient AD strategy for segment who has prior perception. Research framework consists of two measurements and one treatment, O1 X O2. First observation is for collecting information about consumer's perception and their characteristics. Based on first observation, the paper segment consumers into two groups, one group perceives DMB similar to Cellular phone and the other group perceives DMB similar to TV. And compare characteristics of two segments in order to find reason why they perceive DMB differently. Next, we expose two kinds of AD to subjects. One AD describes DMB as Cellular phone and the other Ad describes DMB as personal TV. When two ADs are exposed to subjects, consumers don't know their prior perception of DMB, in other words, which subject belongs 'similar-to-Cellular phone' segment or 'similar-to-TV' segment? However, we analyze the AD's effect differently for each segment. In research design, final observation is for investigating AD effect. Perception before AD is compared with perception after AD. Comparisons are made for each segment and for each AD. For the segment who perceives DMB similar to TV, AD that describes DMB as cellular phone could change the prior perception. And AD that describes DMB as personal TV, could enforce the prior perception. For data collection, subjects are selected from undergraduate students because they have basic knowledge about most digital equipments and have open attitude about a new product and media. Total number of subjects is 240. In order to measure perception about DMB, we use indirect measurement, comparison with other similar digital products. To select similar digital products, we pre-survey students and then finally select PDA, Car-TV, Cellular Phone, MP3 player, TV, and PSP. Quasi experiment is done at several classes under instructor's allowance. After brief introduction, prior knowledge, awareness, and usage about DMB as well as other digital instruments is asked and their similarities and perceived characteristics are measured. And then, two kinds of manipulated color-printed AD are distributed and similarities and perceived characteristics for DMB are re-measured. Finally purchase intension, AD attitude, manipulation check, and demographic variables are asked. Subjects are given small gift for participation. Stimuli are color-printed advertising. Their actual size is A4 and made after several pre-test from AD professionals and students. As results, consumers are segmented into two subgroups based on their perceptions of DMB. Similarity measure between DMB and cellular phone and similarity measure between DMB and TV are used to classify consumers. If subject whose first measure is less than the second measure, she is classified into segment A and segment A is characterized as they perceive DMB like TV. Otherwise, they are classified as segment B, who perceives DMB like cellular phone. Discriminant analysis on these groups with their characteristics of usage and attitude shows that Segment A knows much about DMB and uses a lot of digital instrument. Segment B, who thinks DMB as cellular phone doesn't know well about DMB and not familiar with other digital instruments. So, consumers with higher knowledge perceive DMB similar to TV because launching DMB advertising lead consumer think DMB as TV. Consumers with less interest on digital products don't know well about DMB AD and then think DMB as cellular phone. In order to investigate perceptions of DMB as well as other digital instruments, we apply Proxscal analysis, Multidimensional Scaling technique at SPSS statistical package. At first step, subjects are presented 21 pairs of 7 digital instruments and evaluate similarity judgments on 7 point scale. And for each segment, their similarity judgments are averaged and similarity matrix is made. Secondly, Proxscal analysis of segment A and B are done. At third stage, get similarity judgment between DMB and other digital instruments after AD exposure. Lastly, similarity judgments of group A-1, A-2, B-1, and B-2 are named as 'after DMB' and put them into matrix made at the first stage. Then apply Proxscal analysis on these matrixes and check the positional difference of DMB and after DMB. The results show that map of segment A, who perceives DMB similar as TV, shows that DMB position closer to TV than to Cellular phone as expected. Map of segment B, who perceive DMB similar as cellular phone shows that DMB position closer to Cellular phone than to TV as expected. Stress value and R-square is acceptable. And, change results after stimuli, manipulated Advertising show that AD makes DMB perception bent toward Cellular phone when Cellular phone-like AD is exposed, and that DMB positioning move towards Car-TV which is more personalized one when TV-like AD is exposed. It is true for both segment, A and B, consistently. Furthermore, the paper apply correspondence analysis to the same data and find almost the same results. The paper answers two main research questions. The first one is that perception about a new product is made mainly from prior experience. And the second one is that AD is effective in changing and enforcing perception. In addition to above, we extend perception change to purchase intention. Purchase intention is high when AD enforces original perception. AD that shows DMB like TV makes worst intention. This paper has limitations and issues to be pursed in near future. Methodologically, current methodology can't provide statistical test on the perceptual change, since classical MDS models, like Proxscal and correspondence analysis are not probability models. So, a new probability MDS model for testing hypothesis about configuration needs to be developed. Next, advertising message needs to be developed more rigorously from theoretical and managerial perspective. Also experimental procedure could be improved for more realistic data collection. For example, web-based experiment and real product stimuli and multimedia presentation could be employed. Or, one can display products together in simulated shop. In addition, demand and social desirability threats of internal validity could influence on the results. In order to handle the threats, results of the model-intended advertising and other "pseudo" advertising could be compared. Furthermore, one can try various level of innovativeness in order to check whether it make any different results (cf. Moon 2006). In addition, if one can create hypothetical product that is really innovative and new for research, it helps to make a vacant impression status and then to study how to form impression in more rigorous way.

• 한국산림과학회지
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• 제45권1호
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• pp.11-25
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• 1979

1979년(年) 8월(月) 4일(日)과 5일(日)에 걸쳐 강원도 평창지구에 많은 사태(沙汰)가 발생된 바 있었다. 이 지역(地域)을 답사할 기회를 통해 산사태에 대한 조사연구(調査硏究)가 부족(不足)하고 예방대책(豫防對策)이 미약하다는 사실을 알게 되었다. 이에 현지답사시(現地踏査時) 얻었던 자료(資料)와 기 연구자들의 보고서 등을 참조로 하여 우리나라 산사태(山沙汰)의 발생조직과예방대책을 살펴본 결과는 다음과 같았다. 1. 지난 6년간(年間)의 자료(資料)로 1일(日)200mm이상(以上), 1시간당(時間當) 60mm이상(以上)의 호우지대(豪雨地帶)를 보면 횡성, 원주, 영동, 무주, 남원과 순천을 연결하는 서부지역과 경상남도의 남부해안지방(南部海岸地方)에 분포(分布)되 있다. 이 원인(原因)은 산맥(山脈)과 저기압(低氣壓)의 방향(方向)에 영향을 받은 것으로 사료(思料)된다. 2, 호우(豪雨)의 정점(頂點)의 분포(分布)는 야간에 나타나며 이 시점에서 산사태(山沙汰)를 일으키고 막대한 피해(被害)를 주는 것 같다. 3. 평창지역(平昌地域)의 산사태(山沙汰)는 화강암(花崗巖)의 조사질양토(粗砂質壤土)와 석회암(石灰巖) 정암(貞岩)의 점토질토양(粘土質土壤)에서 발생(發生)하며 토석류(土石流)는 기암면(基岩面)이나 석회암토양(石灰巖土壤)에서 나타나는 반시(盤尸)을 따라 일어나고 있었다. 4. 이들 암석(岩石)에서 유래한 토양(土壤)의 투수력(透水力)은 빠른 것 같으며 화강암토양(花崗巖土壤)은 토성(土性)의 영향으로 석회암토양(石灰岩土壤)은 토양구조(土壤構造), 폐식(廢植)의 높은 함량(含量)과 근계(根系)의 영향 때문이다. 5. 산사태발생(山沙汰發生)의 근원지의 지형(地形)은 대부분 곡두(谷頭)의 요형지(凹型地)와 산복 상부의 요형(凹型)지에서 나타나고 있다. 이는 유거수(流去水)의 집수력(集水力)때문인것 같고 이 지점의 토양단면(土壤斷面)을 보면 석회암지대(石灰岩地帶)는 혼연성토양(混淵性土壤), 화강암지대(花崗岩地帶)는 발(髮)한 심토호(深土戶)으로 되있다. 6. 산사태지(山沙汰地)의 경사도(傾斜度)는 대부분 $25^{\circ}$이상(以上)에서 나타났고 경사위치(傾斜位置)는 산복상부의 6~9부 능선에서 나타났다. 7. 산사태지(山沙汰地)의 식피(植被)는 대부분 화전(火田)경작지, 화전초지(火田草地), 화전조림지(火田造林地), 황폐지(荒廢地)의 불량임분(不良林分)과 미림목지(未林木地)이었다. 일부 성림지(成林地)(중경목지)에도 나타났으나 대개 표상(表上)에 암석시(岩石尸)이 있는 지역이다. 8. 산사태위험도(山沙汰危險度)는 몇가지 환경인자(環境因子)로 즉 식피(植被), 경사도(傾斜度), 경사형태(傾斜形態) 및 위치(位置), 기암(基岩)과 분포형태(分布形態), 토양단면(土壤斷面)의 특성(特性) 등(等)으로 추정이 가능할 것 같다. 9. 가옥피해(家屋被害)는 대부분 다음과 같은 지형(地形)에서 나타나고 있다. 충적추(沖積錐)와 선상지요형사면(扇狀地凹型斜面)의 산록, 곡간(谷間)이나 야계변(野溪邊)의 소단구(小段丘)와 붕적토지(崩積土地) 등(等)이다. 가옥피해위험지(家屋被害危險地)는 항공사진으로 가옥(家屋)주위의 지형상태(地形狀態)를 참고를 하면 판정(判定)이 가능할 것 같다. 10. 산사태(山沙汰)의 예방대책(豫防對策)으로 위험지(危險地)의 진단기술(診斷技術)의 개발(開發), 현지조사(現地調査)를 통해 가능한 조속(早速)히 예방사방(豫防砂防)이 이루어져야 할 것이다. 가옥(家屋)과 부락(部落)의 피해예방대책(被害豫防對策)이 수립(樹立) 실행(實行)하여야 되며 재해방비림(災害防備林)의 조성책(造成策)이 고려되어야 할 것이다. 11. 산사태(山沙汰)에 의한 가옥(家屋)과 부락(部落)의 피해위험도(被害危險度)를 판정(判定)하여 지도사업(指導事業)을 통해 알려 주어야 한다. 12. 사태위험지(沙汰危險地)의 계벌작업(階伐作業), 화전경작(火田耕作), 연료채취(燃料採取)를 철저히 금지(禁止)시키고 피해위험지(被害危險地)의 가옥(家屋)신축을 규제시켜야 될 것이다. 따라서 산림경영계획(山林經營計劃)의 편성시 산사태(山沙汰)여부 토양침식(土壤浸蝕)과 홍수문제(洪水問題)들이 고려되어야 하며 재해예방대책(災害豫防對策)이 포함되어야 할 것이다.

• Asia pacific journal of information systems
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• 제20권2호
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• pp.63-86
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• 2010

Personalized services directly and indirectly acquire personal data, in part, to provide customers with higher-value services that are specifically context-relevant (such as place and time). Information technologies continue to mature and develop, providing greatly improved performance. Sensory networks and intelligent software can now obtain context data, and that is the cornerstone for providing personalized, context-specific services. Yet, the danger of overflowing personal information is increasing because the data retrieved by the sensors usually contains privacy information. Various technical characteristics of context-aware applications have more troubling implications for information privacy. In parallel with increasing use of context for service personalization, information privacy concerns have also increased such as an unrestricted availability of context information. Those privacy concerns are consistently regarded as a critical issue facing context-aware personalized service success. The entire field of information privacy is growing as an important area of research, with many new definitions and terminologies, because of a need for a better understanding of information privacy concepts. Especially, it requires that the factors of information privacy should be revised according to the characteristics of new technologies. However, previous information privacy factors of context-aware applications have at least two shortcomings. First, there has been little overview of the technology characteristics of context-aware computing. Existing studies have only focused on a small subset of the technical characteristics of context-aware computing. Therefore, there has not been a mutually exclusive set of factors that uniquely and completely describe information privacy on context-aware applications. Second, user survey has been widely used to identify factors of information privacy in most studies despite the limitation of users' knowledge and experiences about context-aware computing technology. To date, since context-aware services have not been widely deployed on a commercial scale yet, only very few people have prior experiences with context-aware personalized services. It is difficult to build users' knowledge about context-aware technology even by increasing their understanding in various ways: scenarios, pictures, flash animation, etc. Nevertheless, conducting a survey, assuming that the participants have sufficient experience or understanding about the technologies shown in the survey, may not be absolutely valid. Moreover, some surveys are based solely on simplifying and hence unrealistic assumptions (e.g., they only consider location information as a context data). A better understanding of information privacy concern in context-aware personalized services is highly needed. Hence, the purpose of this paper is to identify a generic set of factors for elemental information privacy concern in context-aware personalized services and to develop a rank-order list of information privacy concern factors. We consider overall technology characteristics to establish a mutually exclusive set of factors. A Delphi survey, a rigorous data collection method, was deployed to obtain a reliable opinion from the experts and to produce a rank-order list. It, therefore, lends itself well to obtaining a set of universal factors of information privacy concern and its priority. An international panel of researchers and practitioners who have the expertise in privacy and context-aware system fields were involved in our research. Delphi rounds formatting will faithfully follow the procedure for the Delphi study proposed by Okoli and Pawlowski. This will involve three general rounds: (1) brainstorming for important factors; (2) narrowing down the original list to the most important ones; and (3) ranking the list of important factors. For this round only, experts were treated as individuals, not panels. Adapted from Okoli and Pawlowski, we outlined the process of administrating the study. We performed three rounds. In the first and second rounds of the Delphi questionnaire, we gathered a set of exclusive factors for information privacy concern in context-aware personalized services. The respondents were asked to provide at least five main factors for the most appropriate understanding of the information privacy concern in the first round. To do so, some of the main factors found in the literature were presented to the participants. The second round of the questionnaire discussed the main factor provided in the first round, fleshed out with relevant sub-factors. Respondents were then requested to evaluate each sub factor's suitability against the corresponding main factors to determine the final sub-factors from the candidate factors. The sub-factors were found from the literature survey. Final factors selected by over 50% of experts. In the third round, a list of factors with corresponding questions was provided, and the respondents were requested to assess the importance of each main factor and its corresponding sub factors. Finally, we calculated the mean rank of each item to make a final result. While analyzing the data, we focused on group consensus rather than individual insistence. To do so, a concordance analysis, which measures the consistency of the experts' responses over successive rounds of the Delphi, was adopted during the survey process. As a result, experts reported that context data collection and high identifiable level of identical data are the most important factor in the main factors and sub factors, respectively. Additional important sub-factors included diverse types of context data collected, tracking and recording functionalities, and embedded and disappeared sensor devices. The average score of each factor is very useful for future context-aware personalized service development in the view of the information privacy. The final factors have the following differences comparing to those proposed in other studies. First, the concern factors differ from existing studies, which are based on privacy issues that may occur during the lifecycle of acquired user information. However, our study helped to clarify these sometimes vague issues by determining which privacy concern issues are viable based on specific technical characteristics in context-aware personalized services. Since a context-aware service differs in its technical characteristics compared to other services, we selected specific characteristics that had a higher potential to increase user's privacy concerns. Secondly, this study considered privacy issues in terms of service delivery and display that were almost overlooked in existing studies by introducing IPOS as the factor division. Lastly, in each factor, it correlated the level of importance with professionals' opinions as to what extent users have privacy concerns. The reason that it did not select the traditional method questionnaire at that time is that context-aware personalized service considered the absolute lack in understanding and experience of users with new technology. For understanding users' privacy concerns, professionals in the Delphi questionnaire process selected context data collection, tracking and recording, and sensory network as the most important factors among technological characteristics of context-aware personalized services. In the creation of a context-aware personalized services, this study demonstrates the importance and relevance of determining an optimal methodology, and which technologies and in what sequence are needed, to acquire what types of users' context information. Most studies focus on which services and systems should be provided and developed by utilizing context information on the supposition, along with the development of context-aware technology. However, the results in this study show that, in terms of users' privacy, it is necessary to pay greater attention to the activities that acquire context information. To inspect the results in the evaluation of sub factor, additional studies would be necessary for approaches on reducing users' privacy concerns toward technological characteristics such as highly identifiable level of identical data, diverse types of context data collected, tracking and recording functionality, embedded and disappearing sensor devices. The factor ranked the next highest level of importance after input is a context-aware service delivery that is related to output. The results show that delivery and display showing services to users in a context-aware personalized services toward the anywhere-anytime-any device concept have been regarded as even more important than in previous computing environment. Considering the concern factors to develop context aware personalized services will help to increase service success rate and hopefully user acceptance for those services. Our future work will be to adopt these factors for qualifying context aware service development projects such as u-city development projects in terms of service quality and hence user acceptance.

• 핵의학기술
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• 제20권2호
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• pp.54-61
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• 2016

1. 목적 성조숙증은 2차성징의 발달이 여아에서는 8세 이전 남아에선 9세 이전에 조기 2차성징이 출현하는 증상으로 골단의 조기 폐쇄를 일으켜 결국 최종 성인 신장의 감소를 가져오는 질환이다. 본 연구는 성조숙증으로 내원한 여아들의 GnRH(Gonado-tropin-releasing Hormone) 자극검사 결과와 의무기록을 후향 분석하여 진단별 차이를 알아보고자 하였다. 2. 방법 2015년 2월부터 2015년 12월까지 분당서울대병원 소아청소년 내분비내과를 내원한 여아 118명을 대상으로 하였다. 의무기록을 후향 분석하여 대상 환아들은 진성 성조숙증(true precocious puberty) 57명, 조기사춘기(early puberty) 39명, 유방 조기발육군(premature thelarche) 22명을 진단별로 분류하였다. 진단 당시의 신장, 체중, Tanner stage, 골연령, 역연령, 부모의 키, GnRH 검사에서 LH, FSH와 E2 (Estradiol) Basal 값도 함께 조사하였다. 성선 자극호르몬 결과값 LH (Basal,30min,45min,60min) FSH(Basal,30min,60min)을 비교하여 각 그룹별 LH, FSH Peak치 분포도와 LH 최고치/LH 기저치 비율에 대한 평균${\pm}$표준편차와 LH 최고치/FSH 최고치 비율에 대한 평균${\pm}$표준편차를 비교하여 각 3그룹 간 유의확률(P-value) 값을 구하였다. 골연령의 측정은 Greulich-Pyle법(왼쪽 수근골 X선 사진을 촬영하여 골성숙도를 평가하는 방법- 6개월 단위의 표준손목사진을 보고 비교해서 골연령을 유추하는 방식)을 이용한 소아 청소년 내분비내과 교수가 직접 판독한 결과로 사용하였고 GnRH 검사는 합성 LHRH 100 ug을 정맥 주사하여 LH는 Basal, 30분, 45분,60분 후에 채혈된 결과값과 FSH는 Basal, 30분, 60분후에 채혈된 결과값을 조사하였다. 3. 결과 진성성조숙증그룹의 평균 키는$131{\pm}14.85$, 평균체중은 $8.80{\pm}4.93$, 평균역연령은 $7.1{\pm}0.81$, 평균 골연령은 $9.9{\pm}0.9$, 조기사춘기 그룹의 평균키는 $134{\pm}5.10$, 평균체중은 $28.50{\pm}4.43$, 평균역연령은 $8.05{\pm}0.03$, 평균 골연령은 $10.0{\pm}0.62$, 유방조기발육군의 평균 키는 $129{\pm}6,01$ 평균체중은 $28.65{\pm}5.98$, 평균역연령은 $7.02{\pm}0.58$ 평균 골연령은 $8.04{\pm}1.29$로 세 그룹간에 키와 체중 비교 시 유의한 차이가 없었고 역연령(P < 0.0001), 골연령( P< 0.0001), 골연령과 역연령과의 차이(P < 0.0002 )에서는 그룹간 유의한 차이가 있었다. 각 그룹별 LH, FSH Peak치 분포도 비교시 진성성조숙증 그룹은 LH 30분-82.5%, 45분-12.3%, 60분-5.3%, FSH 30분-8.8%, 60분-91.2%로 높은 Peak치를 보였고 조기사춘기 그룹은 LH 30분-79.5%, 45분-17.9%, 60분-2.6%, FSH 30분-7.7%, 60분 -92.32%로 높은 Peak치를 나타내었다. 유방조기 발육군 그룹에서는 LH 30분-30%, 45분-59%, 60분-9.09%, FSH 30분 -0%, 60분-100%로 Peak치를 나타내었다. LH Peak/LH basal ratio 비교시 진성성조숙증 그룹은 $19.09{\pm}17.15$, 조기사춘기 그룹은 $15.23{\pm}10.88$ 유방조기 발육군 그룹은 $4.93{\pm}4.36$으로 3 그룹간 유의한 차이를 보였다(P < 0.0001). LH Peak/FSH Peak ratio 비교시 진성성조숙증 그룹은 $1.222{\pm}0.77$, 조기사춘기 그룹은 $1.34{\pm}1.23$ 유방조기 발육군 그룹은 $0.3{\pm}0.09$로 3 그룹간 유의한 차이(P < 0.0001)를 보였다. 4. 결론 여아들의 진성성조숙증을 진단하기 위한 GnRH Test 검사는 자극 후 30분과 60분 사이에 LH 최고치가 기저치에 비해 2~3배 이상 증가 되어 있거나 또는 5~10 IU/L 이상 증가되었을 때 유용한 판정 자료로 이용 될 수 있는 핵의학 연속검사라고 사료되어진다.

• Journal of the Korean Wood Science and Technology
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• 제2권4호
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• pp.4-14
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• 1974

The total forest land area in Korea accounts for some 67 percent of the nation's land total. Its productivity, however, is very low. Consequently, forest production accounts for only about 2 percent of the gross national product and a minor proportion of no more than about 5 percent versus primary industry. In this case, however, only the direct income from forestry is taken into account, making no reference to the forestry output induced by other industrial sectors. The value added Or the induced forestry output in manufacturing the primary wood products into higher quality products, makes a larger contribution to the economy than direct contribution. So, this author has tried to analyze the structure of forestry and compute the repercussion effect and the induced output of primary forest products when utilized by other industries for their raw materials, Hsing the input-output table and attached tables for 1963 and 1966 issued by the Bank of Korea. 1. Analysis of forestry structure A. Changes in total output Durng the nine-year period, 1961-1969, the real gross national product in Korea increased 2.1 times, while that of primary industries went up about 1. 4 times. Forestry which was valued at 9,380 million won in 1961, was picked up about 2. 1 times to 20, 120 million won in 1969. The rate of the forestry income in the GNP, accordingly, was no more than 1.5 percent both in 1961 and 1962, whereas its rate in primary industries increased 3.5 to 5.4 percent. Such increase in forestry income is attributable to increased forest production and rise in timber prices. The rate of forestry income, nonetheless, was on the decrease on a gradual basis. B. Changes in input coefficient The input coefficient which indicates the inputs of the forest products into other sectors were up in general in 1966 over 1963. It is noted that the input coefficient indicating the amount of forest products supplied to such industries closely related with forestry as lumber and plywood, and wood products and furniture, showed a downward trend for the period 1963-1966. On the other hand, the forest input into other sectors was generally on the increase. Meanwhile, the input coefficient representing the yolume of the forest products supplied to the forestry sector itself showed an upward tendency, which meant more and more decrease in input from other sectors. Generally speaking, in direct proportion to the higher input coefficient in any industrial sector, the reinput coefficient which denotes the use of its products by the same sector becomes higher and higher. C. Changes in ratio of intermediate input The intermediate input ratio showing the dependency on raw materials went up to 15.43 percent m 1966 from 11. 37 percent in 1963. The dependency of forestry on raw materials was no more than 15.43 percent, accounting for a high 83.57 percent of value added. If the intermediate input ratio increases in any given sector, the input coefficient which represents the fe-use of its products by the same sector becomes large. D. Changes in the ratio of intermediate demand The ratio of the intermediate demand represents the characteristics of the intermediary production in each industry, the intermediate demand ratio in forestry which accunted for 69.7 percent in 1963 went up to 75.2 percent in 1966. In other words, forestry is a remarkable industry in that there is characteristics of the intermediary production. E. Changes in import coefficient The import coefficient which denotes the relation between the production activities and imports, recorded at 4.4 percent in 1963, decreased to 2.4 percent in 1966. The ratio of import to total output is not so high. F. Changes in market composition of imported goods One of the major imported goods in the forestry sector is lumber. The import value increased by 60 percent to 667 million won in 1966 from 407 million won in 1963. The sales of imported forest products to two major outlets-lumber and plywood, and wood products and furniture-increased to 343 million won and 31 million won in 1966 from 240million won and 30 million won in 1963 respectively. On the other hand, imported goods valued at 66 million won were sold to the paper products sector in 1963; however, no supply to this sector was recorded in 1963. Besides these major markets, primary industries such as the fishery, coal and agriculture sectors purchase materials from forestry. 2. Analysis of repercussion effect on production The repercussion effect of final demand in any given sector upon the expansion of the production of other sectors was analyzed, using the inverse matrix coefficient tables attached to the the I.O. Table. A. Changes in intra-sector transaction value of inverse matrix coefficient. The intra-sector transaction value of an inverse matrix coefficient represents the extent of an induced increase in the production of self-support products of the same sector, when it is generated directly and indirectly by one unit of final demand in any given sector. The intra-sector transaction value of the forestry sector rose from 1.04 in 1963 to 1, 11 in 1966. It may well be said, therefore, that forestry induces much more self-supporting products in the production of one unit of final demand for forest products. B. Changes in column total of inverse matrix coefficient It should be noted that the column total indicates the degree of effect of the output of the corresponding and related sectors generated by one unit of final demand in each sector. No changes in the column total of the forestry sector were recorded between the 1963 and 1966 figures, both being the same 1. 19. C. Changes in difference between column total and intra-sector transaction amount. The difference between the column total and intra-sector transaction amount by sector reveals the extent of effect of output of related industrial sector induced indirectly by one unit of final demand in corresponding sector. This change in forestry dropped remarkable to 0.08 in 1966 from 0.15 in 1963. Accordingly, the effect of inducement of indirect output of other forestry-related sectors has decreased; this is a really natural phenomenon, as compared with an increasing input coefficient generated by the re-use of forest products by the forestry sector. 3. Induced output of forestry A. Forest products, wood in particular, are supplied to other industries as their raw materials, increasng their value added. In this connection the primary dependency rate on forestry for 1963 and 1966 was compared, i. e., an increase or decrease in each sector, from 7.71 percent in 1963 to 11.91 percent in 1966 in agriculture, 10.32 to 6.11 in fishery, 16.24 to 19.90 in mining, 0.76 to 0.70 in the manufacturing sector and 2.79 to 4.77 percent in the construction sector. Generally speaking, on the average the dependency on forestry during the period 1963-1966 increased from 5.92 percent to 8.03 percent. Accordingly, it may easily be known that the primary forestry output induced by primary and secondary industries increased from 16, 109 million won in 1963 to 48, 842 million won in 1966. B. The forest products are supplied to other industries as their raw materials. The products are processed further into higher quality products. thus indirectly increasing the value of the forest products. The ratio of the increased value added or the secondary dependency on forestry for 1963 and 1966 showed an increase or decrease, from 5.98 percent to 7.87 percent in agriculture, 9.06 to 5.74 in fishery, 13.56 to 15.81 in mining, 0.68 to 0.61 in the manufacturing sector and 2.71 to 4.54 in the construction sector. The average ratio in this connection increased from 4.69 percent to 5.60 percent. In the meantime, the secondary forestry output induced by primary and secondary industries rose from 12,779 million Wall in 1963 to 34,084 million won in 1966. C. The dependency of tertiary industries on forestry showed very minor ratios of 0.46 percent and 0.04 percent in 1963 and 1966 respectively. The forestry output induced by tertiary industry also decreased from 685 million won to 123 million won during the same period. D. Generally speaking, the ratio of dependency on forestry increased from 17.68 percent in 1963 to 24.28 percent in 1966 in primary industries, from 4.69 percent to 5.70 percent in secondary industries, while, as mentioned above, the ratio in the case of tertiary industry decreased from 0.46 to 0.04 percent during the period 1963-66. The mining industry reveals the heaviest rate of dependency on forestry with 29.80 percent in 1963 and 35.71 percent in 1966. As it result, the direct forestry income, valued at 8,172 million won in 1963, shot up to 22,724 million won in 1966. Its composition ratio lo the national income rose from 1.9 percent in 1963 to 2.3 per cent in 1966. If the induced outcome is taken into account, the total forestry production which was estimated at 37,744 million won in 1963 picked up to 105,773 million won in 1966, about 4.5 times its direct income. It is further noted that the ratio of the gross forestry product to the gross national product. rose significantly from 8.8 percent in 1963 to 10.7 percent in 1966. E. In computing the above mentioned ratio not taken into consideration were such intangible, indirect effects as the drought and flood prevention, check of soil run-off, watershed and land conservation, improvement of the people's recreational and emotional living, and maintenance and increase in the national health and sanitation. F. In conclusion, I would like to emphasize that the forestry sector exercices an important effect upon the national economy and that the effect of induced forestry output is greater than its direct income.

• 유통과학연구
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• 제8권3호
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• pp.17-26
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• 2010

세계경제 및 환경의 변화에 따라 농산물의 불안정적인 수급으로 인한 문제점이 노출되고 있으며, 우리나라의 경우 농산물의 안정적인 확보를 위하여 국가 전략적 차원에서의 해외농업투자의 필요성이 요구되고 있다. 하지만 정부차원의 지원 미진, 해외 농업에 대한 정보 및 기술 미비, 개발자금 확보의 어려움, 장기간의 투자금 회수기간, 사후관리 미흡 등의 이유로 성과를 이루지 못하고 있는 실정이며, 특히 해외 농산물의 국내 반입 시 관세의 장벽, 물류 유통비용 등으로 가격 경쟁력이 떨어지고 있어 국내에 반입되지 못하고 있는 실정이다. 이에 본 연구에서는 우리나라의 해외농업투자의 기본개념 및 실태를 살펴보고 해외농업투자의 필요성과 고려사항, 문제점 등을 도출하여 해외에서 재배된 농산물의 경쟁력을 위한 유통 측면에서의 개선방안을 정부의 간접적인 지원, 유통 현대화 및 유통정보기능 강화, 유통시설, 수송루트, 하역업무개선, 경쟁력 확보를 위한 정부의 정책적 지원, 교육 훈련을 통한 전문인력 양성 등 다섯 가지 측면에서 제시하였다.

• 유통과학연구
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• 제8권3호
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• pp.49-56
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• 2010

At the initial stage of Internet advertising, banner advertising came into fashion. As the Internet developed into a central part of daily lives and the competition in the on-line advertising market was getting fierce, there was not enough space for banner advertising, which rushed to portal sites only. All these factors was responsible for an upsurge in advertising prices. Consequently, the high-cost and low-efficiency problems with banner advertising were raised, which led to an emergence of keyword advertising as a new type of Internet advertising to replace its predecessor. In the beginning of 2000s, when Internet advertising came to be activated, display advertisement including banner advertising dominated the Net. However, display advertising showed signs of gradual decline, and registered minus growth in the year 2009, whereas keyword advertising showed rapid growth and started to outdo display advertising as of the year 2005. Keyword advertising refers to the advertising technique that exposes relevant advertisements on the top of research sites when one searches for a keyword. Instead of exposing advertisements to unspecified individuals like banner advertising, keyword advertising, or targeted advertising technique, shows advertisements only when customers search for a desired keyword so that only highly prospective customers are given a chance to see them. In this context, it is also referred to as search advertising. It is regarded as more aggressive advertising with a high hit rate than previous advertising in that, instead of the seller discovering customers and running an advertisement for them like TV, radios or banner advertising, it exposes advertisements to visiting customers. Keyword advertising makes it possible for a company to seek publicity on line simply by making use of a single word and to achieve a maximum of efficiency at a minimum cost. The strong point of keyword advertising is that customers are allowed to directly contact the products in question through its more efficient advertising when compared to the advertisements of mass media such as TV and radio, etc. The weak point of keyword advertising is that a company should have its advertisement registered on each and every portal site and finds it hard to exercise substantial supervision over its advertisement, there being a possibility of its advertising expenses exceeding its profits. Keyword advertising severs as the most appropriate methods of advertising for the sales and publicity of small and medium enterprises which are in need of a maximum of advertising effect at a low advertising cost. At present, keyword advertising is divided into CPC advertising and CPM advertising. The former is known as the most efficient technique, which is also referred to as advertising based on the meter rate system; A company is supposed to pay for the number of clicks on a searched keyword which users have searched. This is representatively adopted by Overture, Google's Adwords, Naver's Clickchoice, and Daum's Clicks, etc. CPM advertising is dependent upon the flat rate payment system, making a company pay for its advertisement on the basis of the number of exposure, not on the basis of the number of clicks. This method fixes a price for advertisement on the basis of 1,000-time exposure, and is mainly adopted by Naver's Timechoice, Daum's Speciallink, and Nate's Speedup, etc, At present, the CPC method is most frequently adopted. The weak point of the CPC method is that advertising cost can rise through constant clicks from the same IP. If a company makes good use of strategies for maximizing the strong points of keyword advertising and complementing its weak points, it is highly likely to turn its visitors into prospective customers. Accordingly, an advertiser should make an analysis of customers' behavior and approach them in a variety of ways, trying hard to find out what they want. With this in mind, her or she has to put multiple keywords into use when running for ads. When he or she first runs an ad, he or she should first give priority to which keyword to select. The advertiser should consider how many individuals using a search engine will click the keyword in question and how much money he or she has to pay for the advertisement. As the popular keywords that the users of search engines are frequently using are expensive in terms of a unit cost per click, the advertisers without much money for advertising at the initial phrase should pay attention to detailed keywords suitable to their budget. Detailed keywords are also referred to as peripheral keywords or extension keywords, which can be called a combination of major keywords. Most keywords are in the form of texts. The biggest strong point of text-based advertising is that it looks like search results, causing little antipathy to it. But it fails to attract much attention because of the fact that most keyword advertising is in the form of texts. Image-embedded advertising is easy to notice due to images, but it is exposed on the lower part of a web page and regarded as an advertisement, which leads to a low click through rate. However, its strong point is that its prices are lower than those of text-based advertising. If a company owns a logo or a product that is easy enough for people to recognize, the company is well advised to make good use of image-embedded advertising so as to attract Internet users' attention. Advertisers should make an analysis of their logos and examine customers' responses based on the events of sites in question and the composition of products as a vehicle for monitoring their behavior in detail. Besides, keyword advertising allows them to analyze the advertising effects of exposed keywords through the analysis of logos. The logo analysis refers to a close analysis of the current situation of a site by making an analysis of information about visitors on the basis of the analysis of the number of visitors and page view, and that of cookie values. It is in the log files generated through each Web server that a user's IP, used pages, the time when he or she uses it, and cookie values are stored. The log files contain a huge amount of data. As it is almost impossible to make a direct analysis of these log files, one is supposed to make an analysis of them by using solutions for a log analysis. The generic information that can be extracted from tools for each logo analysis includes the number of viewing the total pages, the number of average page view per day, the number of basic page view, the number of page view per visit, the total number of hits, the number of average hits per day, the number of hits per visit, the number of visits, the number of average visits per day, the net number of visitors, average visitors per day, one-time visitors, visitors who have come more than twice, and average using hours, etc. These sites are deemed to be useful for utilizing data for the analysis of the situation and current status of rival companies as well as benchmarking. As keyword advertising exposes advertisements exclusively on search-result pages, competition among advertisers attempting to preoccupy popular keywords is very fierce. Some portal sites keep on giving priority to the existing advertisers, whereas others provide chances to purchase keywords in question to all the advertisers after the advertising contract is over. If an advertiser tries to rely on keywords sensitive to seasons and timeliness in case of sites providing priority to the established advertisers, he or she may as well make a purchase of a vacant place for advertising lest he or she should miss appropriate timing for advertising. However, Naver doesn't provide priority to the existing advertisers as far as all the keyword advertisements are concerned. In this case, one can preoccupy keywords if he or she enters into a contract after confirming the contract period for advertising. This study is designed to take a look at marketing for keyword advertising and to present effective strategies for keyword advertising marketing. At present, the Korean CPC advertising market is virtually monopolized by Overture. Its strong points are that Overture is based on the CPC charging model and that advertisements are registered on the top of the most representative portal sites in Korea. These advantages serve as the most appropriate medium for small and medium enterprises to use. However, the CPC method of Overture has its weak points, too. That is, the CPC method is not the only perfect advertising model among the search advertisements in the on-line market. So it is absolutely necessary that small and medium enterprises including independent shopping malls should complement the weaknesses of the CPC method and make good use of strategies for maximizing its strengths so as to increase their sales and to create a point of contact with customers.

• 한국유통학회지:유통연구
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• 제17권5호
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• pp.1-23
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• 2012

대기업과 중소기업의 갈등이 심화되고 있고 낙수효과 또한 제대로 작동하지 않고 있으며 사업조정제도의 실효성에 대한 논란이 이어지고 있는 가운데 중소기업의 사업영역을 보호하고 중소 대기업간 양극화를 해소하며 더불어 골목상권도 보호하기 위한 방안으로 도입된 것이 중소기업 적합업종 지정제도이다. 중소기업 적합업종의 추진현황은 제조업분야로 중소기업 적합업종 품목 중 234개 품목을 신청 접수 받아 실태조사 및 분석하여 조정협의체의 품목을 선정하였다. 서비스업분야에서의 적합업종 지정은 사회적 갈등이 있는 업종부터 지정할 계획인데, 중소기업 및 소상공인의 생업과 관련된 3개 대분류 서비스업종을 대상으로 우선 지정하고 추후 순차적으로 확대할 예정이다. 하지만 중소기업 적합업종 품목으로 선정될 경우에는 중소기업의 성장 동기가 저해될 우려가 있으며, 중소기업 적합업종 품목 지정은 소비자 후생 감소가 나타날 수 있다. 또한 사전적 규제로 작용할 소지가 높을 뿐만 아니라 경쟁을 제도적으로 제한함으로써 부작용이 나타날 우려가 있으며 FTA 체제의 주요 규정에 대한 위배 가능성도 있다. 뿐만아니라 대기업에 대한 역차별 요인이 충분히 반영되지 않고 있다는 점도 문제점으로 지적된다. 특히 중소기업 적합업종제도가 대기업의 주력분야와 관계없는 서비스업에 대한 진출 확대로 인해 중소기업 및 소상공인과의 갈등을 초래하고 있는 실정이므로 중소기업이나 중소상인의 보호를 위해서는 프랜차이즈시스템을 통해서 지역 중소기업을 발전시키고 마스터 프랜차이즈나 지역 프랜차이즈 시스템과 같은 선진 계약 방식을 도입하는 것이 필요하다. 하지만 이러한 방식은 기업들의 경쟁력과 운영방식을 한층 더 진일보 시켜 중소 프랜차이즈기업의 경쟁력 강화에 기여하는 효과도 있지만 부정적 측면이 더 많다고 볼 수 있다. 첫째, 지식경제부가 밝히고 있듯이, 프랜차이즈산업은 자영업자의 창업 성공률을 높여주고, 기존 자영업자를 조직화하여 규모의 경제를 통한 경쟁력 강화에 기여할 뿐만 아니라 다양한 서비스를 소비자에게 제공함으로써 내수시장을 확대하고, 일자리 창출에 기여하는 등 자영업자 경쟁력 제고와 서비스 산업 활성화를 위한 '유용한 수단'임을 강조하고 정부 서민안정 대책으로 밝힌바 있다. 이러한 관점에서 본다면, 프랜차이즈는 적합업종 제도의 취지에 부합하는 것이며 이에 반하는 것이 아님을 알 수 있다. 둘째, 적합업종으로 지정될 경우 국제적 경쟁력을 갖고 있는 국내 프랜차이즈 대기업들의 위축과 사기저하로 인하여 해외진출과 R&D, 식품안전에 대한 투자 감소와 더불어 국내 진출한 해외 기업들의 사업 확장에 부정적 영향을 끼칠 수 있다. 또한 국내 진출한 다국적 해외 프랜차이즈기업들과의 경쟁력을 확보하는 것이 무엇보다도 시급한 국내 프랜차이즈산업 현실에서 국제적 경쟁력 확보의 어려움뿐만 아니라 국내에 진출한 해외 프랜차이즈기업들과의 역차별이 발생할 수도 있다. 셋째, 중소기업 적합업종 품목 지정은 지금까지 제품을 사용해 왔던 소비자들의 선택의 기회를 제한함과 동시에 소비자의 후생을 감소시키는 부정적인 효과를 초래한다. 또한 중소기업 간의 역차별 문제를 발생시켜 소수 중소기업이 시장을 독점함으로써 소비자 선택의 폭이 줄어들 가능성이 있으므로 제품의 효용을 판단하는 역할은 국가가 아닌 소비자의 몫으로 남겨두어야 한다. 마지막으로는 프랜차이즈와 관련하여 이미 가맹사업법과 그리고 공정거래위원회의 모범거래기준 등의 시행으로 공정거래는 확보하고 있으므로 앞으로도 부족한 부분은 이들을 보완하여 진행하는 것이 바람직하다고 본다. 중소기업 적합업종 지정으로 이중삼중으로 규제하는 것은 오히려 프랜차이즈 분야에 과도한 제한이 될 것이다. 이제 국내 프랜차이즈산업에서도 한국의 문화를 전파하는 세계적 프랜차이즈기업이 성장할 수 있는 환경조성과 정부의 적극적인 지원이 필요하다. 따라서 프랜차이즈 기업의 성장 과정이나 배경을 고려하지 않고 현재 대기업이라는 이유만으로 이들에게 불이익을 주는 일은 없어야 한다. 프랜차이즈기업의 성장억제로 인하여 결국 가맹점의 매출감소는 물론이고 심지어는 폐업하는 가맹점의 숫자를 증가시키는 또 다른 문제를 발생시킬 수 있다는 것이다. 따라서 중소기업 적합업종제도가 대기업의 발목을 잡는 것이 아니라 소상공인과 중소기업의 경쟁력 제고와 동반성장을 목표로 하고 있는 만큼 대기업과 소상공인 및 중소기업이 상생과 협력을 바탕으로 거래관계를 지속하는 프랜차이즈 기업들이 포함되지 않도록 하는 것이 타당할 것이다.

• 지능정보연구
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• 제24권1호
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• pp.205-225
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• 2018

Convolutional Neural Network (ConvNet)은 시각적 특징의 계층 구조를 분석하고 학습할 수 있는 대표적인 심층 신경망이다. 첫 번째 신경망 모델인 Neocognitron은 80 년대에 처음 소개되었다. 당시 신경망은 대규모 데이터 집합과 계산 능력이 부족하여 학계와 산업계에서 널리 사용되지 않았다. 그러나 2012년 Krizhevsky는 ImageNet ILSVRC (Large Scale Visual Recognition Challenge) 에서 심층 신경망을 사용하여 시각적 인식 문제를 획기적으로 해결하였고 그로 인해 신경망에 대한 사람들의 관심을 다시 불러 일으켰다. 이미지넷 첼린지에서 제공하는 다양한 이미지 데이터와 병렬 컴퓨팅 하드웨어 (GPU)의 발전이 Krizhevsky의 승리의 주요 요인이었다. 그러므로 최근의 딥 컨볼루션 신경망의 성공을 병렬계산을 위한 GPU의 출현과 더불어 ImageNet과 같은 대규모 이미지 데이터의 가용성으로 정의 할 수 있다. 그러나 이러한 요소는 많은 도메인에서 병목 현상이 될 수 있다. 대부분의 도메인에서 ConvNet을 교육하기 위해 대규모 데이터를 수집하려면 많은 노력이 필요하다. 대규모 데이터를 보유하고 있어도 처음부터 ConvNet을 교육하려면 많은 자원과 시간이 소요된다. 이와 같은 문제점은 전이 학습을 사용하면 해결할 수 있다. 전이 학습은 지식을 원본 도메인에서 새 도메인으로 전이하는 방법이다. 전이학습에는 주요한 두 가지 케이스가 있다. 첫 번째는 고정된 특징점 추출기로서의 ConvNet이고, 두번째는 새 데이터에서 ConvNet을 fine-tuning 하는 것이다. 첫 번째 경우, 사전 훈련 된 ConvNet (예: ImageNet)을 사용하여 ConvNet을 통해 이미지의 피드포워드 활성화를 계산하고 특정 레이어에서 활성화 특징점을 추출한다. 두 번째 경우에는 새 데이터에서 ConvNet 분류기를 교체하고 재교육을 한 후에 사전 훈련된 네트워크의 가중치를 백프로퍼게이션으로 fine-tuning 한다. 이 논문에서는 고정된 특징점 추출기를 여러 개의 ConvNet 레이어를 사용하는 것에 중점을 두었다. 그러나 여러 ConvNet 레이어에서 직접 추출된 차원적 복잡성을 가진 특징점을 적용하는 것은 여전히 어려운 문제이다. 우리는 여러 ConvNet 레이어에서 추출한 특징점이 이미지의 다른 특성을 처리한다는 것을 발견했다. 즉, 여러 ConvNet 레이어의 최적의 조합을 찾으면 더 나은 특징점을 얻을 수 있다. 위의 발견을 토대로 이 논문에서는 단일 ConvNet 계층의 특징점 대신에 전이 학습을 위해 여러 ConvNet 계층의 특징점을 사용하도록 제안한다. 본 논문에서 제안하는 방법은 크게 세단계로 이루어져 있다. 먼저 이미지 데이터셋의 이미지를 ConvNet의 입력으로 넣으면 해당 이미지가 사전 훈련된 AlexNet으로 피드포워드 되고 3개의 fully-connected 레이어의 활성화 틀징점이 추출된다. 둘째, 3개의 ConvNet 레이어의 활성화 특징점을 연결하여 여러 개의 ConvNet 레이어의 특징점을 얻는다. 레이어의 활성화 특징점을 연결을 하는 이유는 더 많은 이미지 정보를 얻기 위해서이다. 동일한 이미지를 사용한 3개의 fully-connected 레이어의 특징점이 연결되면 결과 이미지의 특징점의 차원은 4096 + 4096 + 1000이 된다. 그러나 여러 ConvNet 레이어에서 추출 된 특징점은 동일한 ConvNet에서 추출되므로 특징점이 중복되거나 노이즈를 갖는다. 따라서 세 번째 단계로 PCA (Principal Component Analysis)를 사용하여 교육 단계 전에 주요 특징점을 선택한다. 뚜렷한 특징이 얻어지면, 분류기는 이미지를 보다 정확하게 분류 할 수 있고, 전이 학습의 성능을 향상시킬 수 있다. 제안된 방법을 평가하기 위해 특징점 선택 및 차원축소를 위해 PCA를 사용하여 여러 ConvNet 레이어의 특징점과 단일 ConvNet 레이어의 특징점을 비교하고 3개의 표준 데이터 (Caltech-256, VOC07 및 SUN397)로 실험을 수행했다. 실험결과 제안된 방법은 Caltech-256 데이터의 FC7 레이어로 73.9 %의 정확도를 얻었을 때와 비교하여 75.6 %의 정확도를 보였고 VOC07 데이터의 FC8 레이어로 얻은 69.2 %의 정확도와 비교하여 73.1 %의 정확도를 보였으며 SUN397 데이터의 FC7 레이어로 48.7%의 정확도를 얻었을 때와 비교하여 52.2%의 정확도를 보였다. 본 논문에 제안된 방법은 Caltech-256, VOC07 및 SUN397 데이터에서 각각 기존에 제안된 방법과 비교하여 2.8 %, 2.1 % 및 3.1 %의 성능 향상을 보였다.

• 한국산림과학회지
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• 제42권1호
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• pp.1-38
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• 1979

Ilex속(屬) 수목(樹木)의 변이(變異)와 증식법(增殖法)을 연구(硏究)하기 위(爲)하여 호랑가시 나무 10개(個) 집단(集團), 꽝꽝나무 7개(個) 집단(集團), 먼나무 5개(個) 집단(集團), 감탕나무 3개(個) 집단(集團), 청대팻집나무 2개체(個體), 대팻집나무 1개체(個體), 낙상홍 20개체(個體)로 총(總) 28(個) 집단(集團), 170개체(個體)를 조사(調査)하였다. 각(各) 개체(個體)를 대상(對象)으로 하여 외형적(外形的) 특성(特性), 엽(葉)의 형태적(形態的) 특성(特性) 및 열매의 형태적(形態的) 특성(特性)에 대(對)한 변이(變異)를 수종별(樹種別)로 조사분석(調査分析)하였다. 집단(集團)으로 자생(自生)하고 있는 호랑가시나무 6개(個) 집단(集團)과 꽝꽝나무 4개(個) 집단(集團)은 Transect조사(調査)를 하였다. 증식법(增殖法)으로는 파종(播種)과 삽목(揷木)을 하였다. 그 결과(結果)는 다음과 같이 요약(要約)된다. 1. 호랑가시나무는 일반적(一般的)으로 10년생(年生) 이상(以上)의 성숙목(成熟木)이 되면 수고(樹高) 1m, 근원경(根元徑)이 2cm이상(以上)이 되는 것으로 추정(推定)된다. 잎과 열매의 형태적(形態的) 특성(特性) 조사(調査)에서 엽장(葉長), 엽폭(葉幅), 엽병장(葉柄長), 거치수(鋸齒數) 및 과장(果長)은 집단간(集團間), 집단내(集團內) 개체간(個體間)에 유의(有意)한 차이(差異)를 보였다. 과폭(果幅), 과병장(果柄長)은 집단간(集團間) 차이(差異)에는 유의성(有意性)이 인정(認定)되지 않았고, 집단내(集團內) 개체간(個體間) 차이(差異)는 유의성(有意性)이 인정(認定)되었다. 2. 꽝꽝나무의 잎과 열매의 특성(特性) 조사(調査)에서 엽장(葉長), 엽폭(葉幅), 엽병장(葉柄長), 거치수(鋸齒數), 과병장(果柄長)은 집단간(集團間), 집단내(集團內) 개체간(個體間)에 통계학적(統計學的)으로 유의(有意)한 차이(差異)를 보였다. 과장(果長), 과폭(果幅)은 집단간(集團間)의 차이(差異)에는 유의성(有意性)이 없었으나, 집단내(集團內) 개체간(個體間)에는 유의(有意)한 차이(差異)를 보였다. 7개(個) 집단중(集團中) 엽장(葉長)과 엽폭(葉幅)에서 5개(個) 집단(集團), 5개(個) 집단중(集團中) 과장(果長)과 과폭(果幅)에서 4개(個) 집단(集團)이 기간(其間)의 정(正)의 상관(相關)을 나타냈다. 3. 먼나무의 잎과 열매의 특성(特性) 조사(調査)에서 엽장(葉長)만이 집단간(集團間), 집단내(集團內) 개체간(個體間)의 차이(差異)에서 유의성(有意性)이 있었고, 엽폭(葉幅), 엽병장(葉柄長), 과장(果長), 과폭(果幅), 과병장(果柄長)은 집단간(集團間)에는 차이(差異)가 없었으나, 집단내(集團內) 개체간(個體間)에는 유의(有意)한 차이(差異)를 보였다. 5개(個) 집단중(集團中) 엽장(葉長)과 엽폭(葉幅)에서 2개(個) 집단(集團)이 기간(其間)의 정(正)의 상관(相關)이 있었고, 과장(果長)과 과폭(果幅)에서는 4개집단(個集團) 모두 상관(相關)이 없는 것으로 나타났다. 4. 감탕나무 잎의 형태적(形態的) 특성(特性) 조사(調査)에서 엽장(葉長), 엽폭(葉幅), 엽병장(葉柄長)이 집단간(集團間)에는 차이(差異)가 없었으나, 집단내(集團內) 개체간(個體間)에는 유의(有意)한 차이(差異)를 보였다. 엽장(葉長)과 엽폭(葉幅)에서 3개(個) 집단중(集團中) 1개(個) 집단(集團)만이 기간(其間)의 정(正)의 상관(相關)을 보였다. 5. 청대팻집나무 잎의 특성(特性) 조사(調査)에서 개체(個體) 2가 개체(個體) 1보다 엽장(葉長), 엽폭(葉幅)의 측정치(測定値)가 컸고, 엽병장(葉柄長)은 직았다. 6. 호랑가시나무의 기공밀도(氣孔密度) 조사(調査)에서 집단별(集團別) 평균기공밀도(平均氣孔密度)와 한량지수(寒量指數)에는 높은 상관(相關)을 가진다. 내동성(耐冬性)이 강(强)한 집단(集團)일수록 기공밀도(氣孔密度)는 적어지는 것으로 나타났다. 그리고 엽신(葉身)의 하부(下部), 상부(上部), 중부순(中部順)으로 기공밀도(氣孔密度) 경향(傾向)이 있었으나 통계분석(統計分析) 결과(結果)로써는 부위간(部立間)의 차이(差異)가 증가(增加)되는에서 유의성(有意性)이 인정(認定)되지 않았다. 꽝꽝나무는 기공밀도(氣孔密度)와 한량지수간(寒量指數間)에서 통계학적(統計學的)으로 상관(相關)이 인정(認定)되지 않는 것으로 나타났다. 엽신(葉身)의 부위간(部位間)에는 하부(下部), 중부(中部), 상부(上部)의 순(順)으로 기공밀도(氣孔密度)가 높아지는 것을 통계학적(統計學的)으로 인정(認定)할 수 있었다. 7. Transect조사(調査) 결과(結果) 호랑가시나무는 일반적(一般的)으로 경사(傾斜)가 완만(緩慢)하고 해발고(海拔高)가 낮은 바닷가의 사질토양(砂質土壤)에서 잘 자생(自生)하는 것으로 나타났다. 호랑가시나무를 제외(除外)한 Transect 구내(區內)의 구성종(構成種)으로는 해송(海松)을 주(主)로 하고 환삼덩굴, 산딸기, 칡, 들장미 등(等)이 나타났다. 자연집단(自然集團)에 있어서 호랑가시나무의 성비(性比)(자(雌):웅(雄))는 약(約) 1:2로 웅수(雄樹)가 더 많았다. 꽝꽝나무는 일반적(一般的)로 부식량(腐植量)이 많고 습(濕)한 소교목지대(小喬木地帶)에서 잘 자생(自生)하며, 황칠나무, 청미래덩굴, 삼나무, 단풍나무, 솔비나무, 굴거리나무 등(等)과 혼생(混生)하는 것으로 나타났다. 자연집단(自然集團)에서 꽝꽝나무의 성비(性比)는 약(約) 1:1로 나타났다. 8. 호랑가시나무의 경우(境遇) 삽수(揷穗)를 일년생(一年生) 지(枝)에서 채취(採取)하여 10cm 깊이로 조제(調製)하고, IBA로 처리(處理)한 뒤 흙떡꽂이를 실시(實施)한 삽목(揷木) 결과(結果) 좋은 근계(根系)와 높은 발근율(發根率)을 얻을 수 있었다.