• Title/Summary/Keyword: Information Good

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A Study on the Association between Sasang Health Index and THI(Todai Health Index) Score by Sasang Constitutions (완실무병 지표들의 사상체질별 건강수준 연관성 연구;THI(Todai Health Index) 설문지를 중심으로)

  • Jang, Eun-Su;Kim, Ho-Seok;Yoo, Jong-Hyang;Baek, Young-Wha;Oh, Seung-Yun;Lee, Si-Woo
    • Journal of Sasang Constitutional Medicine
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    • v.20 no.2
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    • pp.43-52
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    • 2008
  • 1. Objectives This study aims to find out the factors that affect to healthy level according to Sasang Constitutions by comparing THI health state with Sasang Health Index. 2. Methods One hundred twenty one healthy students from Korean oriental medical colleges participated in this study. We used the Questionnaire for Sasang Constitution Classification II(QSCC II) and expert opinion to diagnose Sasang Constitution, and used Sasang Health Index and THI questionnaire to take health information about Sasang Constitution, from 121 people of Sasang Constitution Information Bank. 3. Results 1) The 'Good Sweat' in Taeumin health level was higher than others, especially in case of 'Refreshness after Sweat' and the 'Good Feces' also higher in case of 'Much Volume in Defecation' 'Regularity in Defecation' 'Refreshness after Evacuation'. 2) The 'Good Feces' in Soyangin health level was higher than others, especially in case of 'Thickness'. 3) The 'Good Digestion' in Soeumin health level was not significantly higher than others. 4) The better symptoms in 'Good Sweat', the better health in Taeumin. 4. Conclusions Sasang Constitution Health Level is significantly related with Sasang Health Index.

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Information Technology Implementation and Operational Efficiency

  • Kwak, Jin Kyung
    • Management Science and Financial Engineering
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    • v.19 no.2
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    • pp.13-18
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    • 2013
  • In this paper, we analyze the relationship between implementation of information technology and inventory turnover as a measure of operational efficiency. We build a regression model including a dummy variable that indicates whether a firm has been nominated for being good at implementing information technology. By using publicly available data, we have conducted an extensive empirical analysis and found that firms' using information technology is not likely to affect inventory turnover significantly. This result implies that we have to take careful consideration in adapting information technology.

A FUZZY NEURAL NETWORK-BASED DECISION OF ROAD IMAGE QUALITY FOR THE EXTRACTION OF LANE-RELATED INFORMATION

  • YI U. K.;LEE J. W.;BAEK K. R.
    • International Journal of Automotive Technology
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    • v.6 no.1
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    • pp.53-63
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    • 2005
  • We propose a fuzzy neural network (FNN) theory capable of deciding the quality of a road image prior to extracting lane-related information. The accuracy of lane-related information obtained by image processing depends on the quality of the raw images, which can be classified as good or bad according to how visible the lane marks on the images are. Enhancing the accuracy of the information by an image-processing algorithm is limited due to noise corruption which makes image processing difficult. The FNN, on the other hand, decides whether road images are good or bad with respect to the degree of noise corruption. A cumulative distribution function (CDF), a function of edge histogram, is utilized to extract input parameters from the FNN according to the fact that the shape of the CDF is deeply correlated to the road image quality. A suitability analysis shows that this deep correlation exists between the parameters and the image quality. The input pattern vector of the FNN consists of nine parameters in which eight parameters are from the CDF and one is from the intensity distribution of raw images. Experimental results showed that the proposed FNN system was quite successful. We carried out simulations with real images taken in various lighting and weather conditions, and obtained successful decision-making about $99\%$ of the time.

A Study of Advertising Design in View of Psychology (심리학적 관점에서 본 광고디자인에 관한 연구)

  • 오근재
    • Archives of design research
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    • v.13
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    • pp.15-24
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    • 1996
  • No mater how brilliant brain a man has, as time goes by, it is certain to fall into a lapse of memory phenomenon in according to cease to exist as a matter of course. But as previously stated, there is no room for douby, if we make advertising information for being changed into a sign which is to be treated easily and simplified, we can easily memory and withdraw it. In other words, the information is to be coded simpler, the memory and recollection of it is to be easier as wll as we can raise the precision rate. Good many advertising today, it appears, try to raise the acknowlegement rate with shock of good-sized and exposure frequency. In this advertising form, we can aspire to the intention of advertiser to try to get lapse of the message of advertising. Of course, even if it cannot be an index of every advertising information called simplified memory and recollection rate, it should be emphasized that it cannot but have something to do with the consumer's memory. Which to be obtained by invested advertisement. As for it, there are so many things to be taken charge of a lots of content by graphic designer: to be obtained mental distribution of resources inconnected with a desire of consumer, to be converted memory information into being less than that and treated easier, and to be correlated the memory information with the previously known things.

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The Effect of Presentation Methods of Apparel Products on the Internet on Purchase Decision Making. - Focused on the purchase of jeans apparel far college students - (인터넷상의 의류상품 제시방법과 구매의사결정과의 관계 연구 -여대생의 청바지 구매를 중심으로-)

  • 최은영
    • Journal of the Korean Society of Costume
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    • v.50 no.5
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    • pp.103-115
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    • 2000
  • There are various presentation methods of apparel products on the internet shopping mall. The objective of this study was (a) to identify the effect of information supply about the criteria to evaluate a garment according to presentation methods and (b) to investigate the relation between the consumer's evaluation of presentation methods and confidence in purchase decision. For this experiment. 4 presentation methods of jean were selected from internet shopping mall. They were rotating appearance on the body, enlarged product picture, apparel items coordination method and just picture of wearing appearance. Each presentation method was evaluated by panels using questionnaire. Consumer's evaluation of presentation methods were developed 5 point likert scale. The major findings drawn from this study were as follows : 1. There were significant differences in degree of information supply about product criteria according to presentation methods. Enlarged product picture introduction was good for confirmation of sewing state, fabric and detail. Apparel items coordination method was good for judgement of styling and current fashion suitability. 2. Dimension of information evaluation was composed of providing pleasure, utility of information, reliability & attractiveness, negative emotions. All of these factors affect confidence in purchase decision and intention of revisiting the site. The most important factor for confidence in purchase decision making was reliability & attractiveness. as compared to this, intention of revisiting the site was more influenced by providing pleasure.

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Image Retrieval Using Entropy-Based Image Segmentation (엔트로피에 기반한 영상분할을 이용한 영상검색)

  • Jang, Dong-Sik;Yoo, Hun-Woo;Kang, Ho-Jueng
    • Journal of Institute of Control, Robotics and Systems
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    • v.8 no.4
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    • pp.333-337
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    • 2002
  • A content-based image retrieval method using color, texture, and shape features is proposed in this paper. A region segmentation technique using PIM(Picture Information Measure) entropy is used for similarity indexing. For segmentation, a color image is first transformed to a gray image and it is divided into n$\times$n non-overlapping blocks. Entropy using PIM is obtained from each block. Adequate variance to perform good segmentation of images in the database is obtained heuristically. As variance increases up to some bound, objects within the image can be easily segmented from the background. Therefore, variance is a good indication for adequate image segmentation. For high variance image, the image is segmented into two regions-high and low entropy regions. In high entropy region, hue-saturation-intensity and canny edge histograms are used for image similarity calculation. For image having lower variance is well represented by global texture information. Experiments show that the proposed method displayed similar images at the average of 4th rank for top-10 retrieval case.

A Group Key Management Scheme for WSN Based on Lagrange Interpolation Polynomial Characteristic

  • Wang, Xiaogang;Shi, Weiren;Liu, Dan
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.13 no.7
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    • pp.3690-3713
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    • 2019
  • According to the main group key management schemes logical key hierarchy (LKH), exclusion basis systems (EBS) and other group key schemes are limited in network structure, collusion attack, high energy consumption, and the single point of failure, this paper presents a group key management scheme for wireless sensor networks based on Lagrange interpolation polynomial characteristic (AGKMS). That Chinese remainder theorem is turned into a Lagrange interpolation polynomial based on the function property of Chinese remainder theorem firstly. And then the base station (BS) generates a Lagrange interpolation polynomial function f(x) and turns it to be a mix-function f(x)' based on the key information m(i) of node i. In the end, node i can obtain the group key K by receiving the message f(m(i))' from the cluster head node j. The analysis results of safety performance show that AGKMS has good network security, key independence, anti-capture, low storage cost, low computation cost, and good scalability.

The Criteria and Methods for Evaluating of Internet Website Documents (인터넷 웹사이트 문서의 평가 기준 및 방법 - 내용적인 측면을 중심으로 -)

  • Lee Eung-Bong
    • Journal of Korean Library and Information Science Society
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    • v.30 no.1
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    • pp.151-169
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    • 1999
  • The availability and growth of the Internet offers users the opportunity to find information and data all over the world. The development of the WWW has made the Internet easier to use, both for finding information and for publishing it electronically. Because so much information is available, and because that information can appear to be fairly 'anonymous', It is necessary to develop skills to evaluate what you find. Every printed information resources you find has been evaluated in one way or another before you ever see it. But when you are using the WWW, none of this applies. There are no filters between you and Internet. In addition, the ease of constructing Web documents results in information of the widest range of quality, written by authors of the widest range of authority, available on an even playing field Excellent information resources reside along side the most dubious. This study discusses the criteria arid methods by which scholars and researchers in most fields evaluate print information, and shows how the same criteria and methods can be used to assess Internet Website document. This study applied seven criteria, that is essential Web document element, authorship, publishing body, point of view or bias, referral to other sources, verifiability and currency. All information, whether in print or by byte, needs to be evaluated by users for some objective criteria and methods mentioned above. If you find information that is 'too good to be true', it probably is. Never use information that you can't verity. Always remember that the best counterfeit looks the most like the real thing. Establishing and learning criteria and methods to filter information you find on the Internet is a good beginning for becoming a critical consumer of information in all forms.

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A Study on Exploring Direction for Future Education for the Common Good Based on Big Data (빅데이터 기반 공동선 증진을 위한 미래교육 방향성 탐색 연구)

  • Kim, Byung-Man;Kim, Jung-In;Lee, Young-Woo;Lee, Kang-Hoon
    • Journal of Convergence for Information Technology
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    • v.12 no.2
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    • pp.37-46
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    • 2022
  • The purpose of this study is to provide basic data onto preparing soft landing plan of future education policy by exploring direction of future education for the common good using big data and keyword network analysis. Based on the big data provided by Textom, data was collected under the keyword 'future education + common Good' and then keyword network analysis was performed. As a result of the research, it was found that 'common good', 'social', 'KAIST future warning', 'measures', 'research', 'future education', 'politics' were common keywords in the social awareness of future education for the common good. The results of this study suggest that the social awareness of future education for the common good is related to factors related to human, physical environment, social response, academic interest, education policy, education plan, and related variables, It was closely related. Based on these results, we suggested implications for the support for the preparation of a soft landing plan of future education for the common good.

Rank-based Control of Mutation Probability for Genetic Algorithms

  • Jung, Sung-Hoon
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.10 no.2
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    • pp.146-151
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    • 2010
  • This paper proposes a rank-based control method of mutation probability for improving the performances of genetic algorithms (GAs). In order to improve the performances of GAs, GAs should not fall into premature convergence phenomena and should also be able to easily get out of the phenomena when GAs fall into the phenomena without destroying good individuals. For this, it is important to keep diversity of individuals and to keep good individuals. If a method for keeping diversity, however, is not elaborately devised, then good individuals are also destroyed. We should devise a method that keeps diversity of individuals and also keeps good individuals at the same time. To achieve these two objectives, we introduce a rank-based control method of mutation probability in this paper. We set high mutation probabilities to lowly ranked individuals not to fall into premature convergence phenomena by keeping diversity and low mutation probabilities to highly ranked individuals not to destroy good individuals. We experimented our method with typical four function optimization problems in order to measure the performances of our method. It was found from extensive experiments that the proposed rank-based control method could accelerate the GAs considerably.