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안상근,김성수 한국농업정보과학회 1999 농업정보과학 Vol.1 No.1
The major findings of this study were as follows; 1) The mean score of user's satisfaction was higher than that of the theoretically expected one. 2) The mean score of user's satisfaction in information con-tent was higher than that of preview studies showed. 3) While demographic characteristics such as gender, age, level of education, cognition type and main crop were not significantly related to the degree of user's satisfaction by the factors combined together, each other showed some type of relationship to the dependent variables. Gen-der was significantly related to information relevance and system convenience, and so was the level of education and information efficiency. 4) Situational Variables such as computer ability, support level of information center, attitude, computer education were signiHcantly related to the degree of user's satisfaction. 5) Significant differ-ences were found between the user's satisfaction and performance variables such as time of system usage, fre-quency of system usage. 6) Three determinants such as support level of information center, attitude and main crop explained 42.60% of the total variance of user's satisfaction in utilizing agriculture information system. 7) Support level of information center, attitude and main crop, computer education explained 35.20% of the vari-ance for total degree of user's satisfaction in utilizing agriculture information system.
안상근,서태규,전광길,조중휘,Ahn, Sang-Geun,Seo, Tae-Kyu,Jeon, Gwang-Gil,Cho, Joong-Hwee 대한임베디드공학회 2016 대한임베디드공학회논문지 Vol.11 No.6
In this paper, we propose an improved single view metrology (SVM) algorithm to accurately measure the height of objects. In order to accurately measure the size of objects, vanishing points have to be correctly estimated. There are two methods to estimate vanishing points. First, the user has to choose some horizontal and vertical lines in real world. Then, the user finds the cross points of the lines. Second, the user can obtain the vanishing points by using software algorithm such as [6-9]. In the former method, the user has to choose the lines manually to obtain accurate vanishing points. On the other hand, the latter method uses software algorithm to automatically obtain vanishing points. In this paper, we apply image resizing and edge sharpening as a pre-processing to the algorithm in order to improve performance. The estimated vanishing points algorithm create four vanishing point candidates: two points are horizontal candidates and the other two points are vertical candidates. However, a common image has two horizontal vanishing points and one vertical vanishing point. Thus, we eliminate a vertical vanishing point candidate by analyzing the histogram of angle distribution of vanishing point candidates. Experimental results show that the proposed algorithm outperforms conventional methods, [6] and [7]. In addition, the algorithm obtains similar performance with manual method with less than 5% of the measurement error.
정보시스템 이용자의 정보만족도 측정에 관한 이론적 고찰
안상근(Sang Keun Ahn),최민호(MIn Ho Choi),김성수(Sung Soo Kim) 한국농촌지도학회 1997 농촌지도와 개발 Vol.4 No.1
The objective of this study were 1) to review concepts of user information satisfaction (UIS), 2) to analyze tools for measuring user information satisfaction, 3) to identify factors affecting information satisfaction. The study was carried out by the analysis of literatures related to information system. The construct of UIS has been operationalized in many different ways. Several studies employed single-item rating scales; such scales have been criticized unreliable. Single-item scales also provide little information as to what the user fords dissatisfying(satisfying) and are thus of limited utility outside a research setting. Multiple-item UIS measures have become increasingly common. Generally, they are of two types. The first focuses on the information system product. With such diverse names as $quot;system acceptance$quot;, $quot;output quality$quot;, and $quot;appreciation$quot;, these scales focus on the concept of the information system and the manner in which the information is presented. The second type of multiple-item scale includes the organizational support for developing and maintaining the system as well as the system product itself. This type of instrument contains items concerned with training, documentation, development procedures, systems maintenance, etc., as well as items related to system content. Thus it provides an indicator of the overall quality of information services provided by an information service function. Generally, UIS measures have not been carefully validated. Recently, however, several rigorous attempts have been made to develop valid and reliable UIS measure.