본실험은 우리 나라 중부지방에 있어서의 수도의 재배 시기를 이동함에 따르는 실용제형질의 변화를 구명하기 위하여1958~'60년의 3개년에 걸쳐 농업시험장(현 작물시험장) 답작과(수원)에서 시행한 실험으로서 공시품종은 조만성, 초형 등 생태적특성을 달리하는 연산.수원 8002.오조.팔달 및 조광의 5품종을 공시하였으며, 파종기는 3월 2일 ~7월 10일까지를 10일 간격으로 14회에 걸쳐 파종하였고, 또 각 파종기마다 각각 못자리 일수를 30일, 40일, 50일, 60일, 70일 및 8일묘로 하여 이앙하여 실험하였다. 그 결과를 요약하면 다음과 같다. 1. 출수기 : 1) 파종기가 지연됨에 따라서 출수기도 거의 일직선으로 지연되나, 그 정도는 조생종에서 크고 만생종은 작으며, 또 못자리 일수가 길어짐에 따라서 커진다. 2) 출수까지의 일수는 각 품종 모두 파종기의 지연에 따라서 거의 일직선으로 단축하나, 품종에 따라 그 정도의 차이가 있어서 조생종은 단축일수가 작고 만생종이 크다. 그리고 동일품종 내에서도 못자리 일수가 길어짐에 따라 단축일수는 작아졌다. 또 최단축일수에 도달하는 시기도 조생종은 빠르나 만생종은 늦어진다. 또 못자리 일수가 긴 구에서 그 시기는 빨라진다. 품종 및 못자리 일수에 따라 차이가 있으나 어느 시기 이후의 파종기가 되면 단축을 나타내지 않게 되고, 다시 파종기가 늦어지면 한냉한 기후의 영향을 받아 출수일수는 오히려 연장된다. 3) 파종기(X)와 출수까지의 일수(Y)와의 회귀직선식 Y=a+bX의 계수 b(출수일수단축율)와 평균일수일수와는 고도의 상관이 인정되며, 평균출수일수가 클수록, 즉 만생종일수록 파종기의 지연에 의한 출수촉진일수가 컸었다. 4) 어느 품종의 파종기가 동일역일이면 못자리 일수가 극단으로 길지 않은 범위 내에서는(파종기의 지연에 따라서 출수까지의 일수가 직선적으로 단축되는 범위내에서의) 출수일수의 년차간의 변이는 크지 않으므로 목적하는 품종에 대한 수회의 파종기에 걸쳐 출수기의 변동을 조사하여 실험식(파종기와 출수까지의 일수와의 회귀직선식)을 구해 두면 임의의 재배시기에 있어서의 출수기를 추정할 수 있다. 5) 파종기가 3월하순~6월중순, 못자리 일수가 30~50일의 범위에서는 보통기재배에 있어서의 품종의 출수기의 조만을 가지고 그 전후에 해당하는 파종기에 있어서의 각각의 품종에 대한 출수기를 추정할 수 있다. 2. 성숙기 : 6) 출수기가 지연됨에 따라서 성숙한계 출수기의 범위 내에서는 성숙기도 거의 일직선으로 지연된다. 그 정도는 품종 및 못자리 일수의 장단에 의한 차이가 크다. 평균온도의 영향을 받는 범위 내에서는 출수기(X)가 지연됨에 따라서 성숙기간 중의 평균온도(Y)는 그것에 따라서 저하하며 품종간에 차이가 있으나, 전체적으로 보아 양자의 관계를 8월 1일부터 9월 13일까지의 범위에서는 Y=25.53-0.182X의 회귀직선식으로 나타낼 수 있다. 7) 품종의 조만생에 의한 성숙기간에 있어서의 평균온도의 차이가 심하며, 조생종은 최고 28
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.
본(本) 시험(試驗)은 국내(國內) 활엽수로서 중요한 참나무속(屬)의 상수리나무와 침엽수(針葉樹)의 대표적(代表的) 수종(樹種)인 소나무를 공시목(公試木)으로 선정(選定)하여 곡목가공분야(曲木加工分野)에서 널리 이용(利用)하는 자비법(煮沸法)과 증자법(蒸煮法)에 의한 휨가공성(加工性)을 조사(調査)하고, 이에 관련(關聯)된 인자(因子)로서 변(邊) 심재(心材), 연륜각도(年輪角度), 연화처리온도(軟化處理溫度), 연화처리시간(軟化處理時間), 목재함수율(木材含水率) 및 목재결함(木材缺陷) 등(等)의 영향(影響)과 휨가공(加工)후의 곡율반경변화(曲率半經變化) 및 약제처리(藥劑處理)에 의한 휨가공성(加工性)의 개선방법(改善方法)을 구명(究明)하기 위하여 실시(實施)되었다. 이 때 사용(使用)된 자비(煮沸)와 증자처리용(蒸煮處理用) 시편(試片)의 크기는 두께와 너비 15mm, 길이 350mm이고 약제처리용시편(藥劑處理試片)의 크기는 두께 5mm, 너비 10mm 및 길이 200mm로 제작(製作)하였으며, 시편(試片)의 함수율(含水率)은 자비처리(煮沸處理)에는 생재(生材)를 사용(使用)하고 증자처리(蒸煮處理)에는 15%로 조습(調濕)된 건조재(乾燥材)를 사용(使用)하였다. 또한 약제처리(藥劑處理)는 포화요소용액(飽和尿素溶液), 35% 포르말린 용액(溶液), 25% 폴리에칠렌(400) 수용액(水溶液) 및 25% 암모니아수에 5일간(日間) 상온(常溫)으로 침지(浸漬)한 우 휨가공(加工)을 행하였다. 본(本) 시험(試驗)에서 얻은 결과(結果)를 요약(要約)하면 다음과 같다. 1. 상수리나무와 소나무의 목재내부온도(木材內部溫度)는 자비(煮沸) 또는 증자처리시간(蒸煮處理時間)에 따라 초기(初期) 약(約)