• Title/Summary/Keyword: Weight information

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An Expresson of Domain Searching Term Weight using Fuzzy (퍼지를 이용한 도메인 검색용어 중요성의 표시)

  • Jin, Hyun-Soo;Hong, You-Sik
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.9 no.4
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    • pp.139-144
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    • 2009
  • The leveling of technical internet domain term with its aim to accumulate knowledge that machine can comprehend, which has been used widely in recent years. If stratify domain term weight, we believe that machine can manage and analyze in formation on its own using the ontology. In this paper, we propose an algorithm that allows us to extract properties of ontology weight from structured information already existing in web documents. In particular by stratification of the domain knowledge that is composed of property information, we were able to make the algorithm better and improve the quality of extraction results. In our experiments with 50 thousands targeted documents, we were able to extract property information with 94% confidence.

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An Efficient Detection and Management Technique of Misbehavior nodes in Ad-hoc Networks (Ad-hoc 네트워크에서의 효율적인 비정상행위 노드 탐지 및 관리 기법)

  • Lee, Yun-Ho;Lee, Soo-Jin
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.19 no.5
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    • pp.71-80
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    • 2009
  • Ad-hoc network consists f mobile nodes, which they are together in the communication. However, if some misbehaving nodes are in network, it is faced to many threats. Therefore, detection and management of misbehaving node are necessary to make confident in Ad-hoc networks. To solve this problem, we use Node Weight Management Server(NWMS), which it manage each node's weight in local area. When NWMS detect misbehaving node, it adds the node's weight and if the node's weight exceeds threshold then NWMS broadcasts the node's information to isolate in network. These mechanisms show that they are highly effective and can reliably detect a multitude of misbehaving node.

Using Focus Group Interviews to Assess Food Behavior and Needs of Nutrition Education for Female University Students

  • Kim, Kyungwon;Kim, Kyung-A
    • Journal of Community Nutrition
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    • v.1 no.1
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    • pp.25-32
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    • 1999
  • In this study, focus group interviews were used to investigate female university students' eating behavior, factors related to eating behavior, information sources for nutrition, and formats for nutrition education. Thirty-six students participated in one of five focus groups during December 1998 in Seoul. Focus group discussions were video, audio-taped, transcribed and analyzed by major themes. Results showed that subjects have undesirable eating behaviors, such s eating irregular meals and skipping meals. These behaviors are caused by a lack of time, habit, or for the purpose of losing weight. The students tended to have unbalanced diets and frequently ate out. They had a large amount for dinner and frequently snaked when stressed or had an empty stomach. Most of them were interested in weight control and had attempted to lose weight, but they did not participate in regular exercise. The most frequently used source for nutrition information was the mass media, but much nutrition information was based on what they learned from home economics class during middle to high school. They received more support from mothers, elder sisters, and friends for eating behaviors, such s lowering caloric intake and losing weight. In nutrition education, they wanted to learns behaviorla skills to adopt healthy behaviors, including meal planning, applying scientific weight control methods, exercise that fit into their lives, and stress management. They also mentioned that nutrition screening and assessment should be a part of nutrition education programs. As a method for nutrition education, subjects preferred an individualized approach to group education. These results provide the qualitative information for developing nutrition education programs which will be implemented for Korean University students.

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The Estimation of Weight of Attributes of Geological & Thematic Maps Using the AHP Method (AHP분석을 통한 지질도 및 주제도의 가치구성요소별 중요도 분석)

  • Kim, Dae-Hyung;Kim, Ji-Whan;Kim, Jin-Soo;Heo, Eunn-Yeong
    • Economic and Environmental Geology
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    • v.41 no.5
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    • pp.517-526
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    • 2008
  • Geological and related thematic maps make various economical and social benefits at many sectors. Recently, development of information managing technology such as GIS, Geographic Information System, enlarges the usage of geological map and information. In this research, using the Analytic Hierarchy Process, we analyzed the weight of attributes which compose value of geological map and information. Results of research are as follows. By the analysis of the weight of attributes, we found that the weight of confidence, upper hierarchy attribute, was above 50%. The weight of convenience and additional effect was about $16%{\sim}30%$ in the geological map, geophysical map, geochemical map and hydrogeologic map. And the consumption of each maps will increase, especially in large scale map.

Effect of the Drapability and the Texture Image on the Purchase Preference of Blouse Fabrics (블라우스용 소재의 드레이프성과 질감이미지가 구매선호도에 미치는 영향)

  • Kim, Yeo-Won;Pan, Hong-Yu;Na, Mi-Hee;Choi, Jong-Myoung
    • Korean Journal of Human Ecology
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    • v.20 no.5
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    • pp.1025-1034
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    • 2011
  • The purpose of this study was to examine the evaluation of fabric characteristics on the drapability, texture image and preference of blouse fabrics, and to analyze the effects of the texture image, objective and subjective drapability on the preference. As specimen, silk and polyester fabrics were collected. 52 female subjects evaluated 16 specimens with semantic differential scale of 18 fabric image and 20 sensibility. Data were analyzed through factor analysis, pearson correlational coefficient using spss win 12.0. For the evaluation, structural characteristics such as fiber contents, weave type, weight and thickness were analyzed. The results were as follows: The evaluation results of objective and subjective drapability showed differences. Sensory image factors of blouse fabrics were 'surface smoothness', 'elasticity', 'weight' and 'flexibility'. Sensibility image factors were 'elegance', 'classic', 'characteristic' and 'mannish'. 'Elegance', 'classic' and 'characteristic' of sensibility images showed high correlation with 'surface smoothness' and 'elasticity' of sensory image, also 'mannish' of sensibility image showed significant correlation with 'weight' of sensory image. The significant fabric characteristics affecting objective drapability were density, weight, thickness. The significant texture image factors affecting objective drapability were 'weight', 'flexibility' of sensory image and 'elegance' of sensibility image. On the other hand, the significant factors affecting subjective drapability were thickness of fabric characteristics and 'elegance', 'characteristic', 'mannish' of sensibility images. 'Elegance', 'characteristic' and 'classic' of sensibility image, 'elasticity' of sensory image and subjective drapability affected on the purchase preference.

Comparative Evaluation of User Similarity Weight for Improving Prediction Accuracy in Personalized Recommender System (개인화 추천 시스템의 예측 정확도 향상을 위한 사용자 유사도 가중치에 대한 비교 평가)

  • Jung Kyung-Yong;Lee Jung-Hyun
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.42 no.6
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    • pp.63-74
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    • 2005
  • In Electronic Commerce, the latest most of the personalized recommender systems have applied to the collaborative filtering technique. This method calculates the weight of similarity among users who have a similar preference degree in order to predict and recommend the item which hits to propensity of users. In this case, we commonly use Pearson Correlation Coefficient. However, this method is feasible to calculate a correlation if only there are the items that two users evaluated a preference degree in common. Accordingly, the accuracy of prediction falls. The weight of similarity can affect not only the case which predicts the item which hits to propensity of users, but also the performance of the personalized recommender system. In this study, we verify the improvement of the prediction accuracy through an experiment after observing the rule of the weight of similarity applying Vector similarity, Entropy, Inverse user frequency, and Default voting of Information Retrieval field. The result shows that the method combining the weight of similarity using the Entropy with Default voting got the most efficient performance.

Adjustment of Korean Birth Weight Data (한국 신생아의 출생체중 데이터 보정)

  • Shin, Hyungsik
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.21 no.2
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    • pp.259-264
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    • 2017
  • Birth weight of a new born baby provides very important information in evaluating many clinical issues such as fetal growth restriction. This paper analyzes birth weight data of babies born in Korea from 2011 to 2013, and it shows that there is a biologically implausible distribution of birth weights in the data. This implies that some errors may be generated in the data collection process. In particular, this paper analyzes the relationship between gestational period and birth weight, and it is shown that the birth weight data mostly of gestational periods from 28 to 32 weeks have noticeable errors. Therefore, this paper employs the finite Gaussian mixture model to classify the collected data points into two classes: non-corrupted and corrupted. After the classification the paper removes data points that have been predicted to be corrupted. This adjustment scheme provides more natural and medically plausible percentile values of birth weights for all the gestational periods.

A Circular Load Stowing Scheme for Maintaining Weight Balance in Drones (드론 무게균형을 위한 원형의 부하 적재 방식)

  • Eun, Seongbae;Han, Sangsuk
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.25 no.2
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    • pp.314-319
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    • 2021
  • Problems that satisfy various constraints while maintaining weight balance in ships or aircraft were studied. In addition, a study was conducted to solve the problem with a mathematical method under the condition that the shape and weight of the load are the same and the m×n (m and n are all odd) mesh structures. The problem is that the existing mathematical weight balancing method is not suitable for circular structures. In this paper, we studied the load stowing problem in a circular space where objects are loaded at the vertices of N equilateral polygons. Assuming that all N conformal polygons have an even number of angles, it was proved that a loading method that always maintains weight balance regardless of the variety of number of loads. By providing the structure and loading method of the drone loading ship, we showed that our method was appropriate.

Virtual Object Weight Information with Multi-modal Sensory Feedback during Remote Manipulation (다중 감각 피드백을 통한 원격 가상객체 조작 시 무게 정보 전달)

  • Changhyeon Park;Jaeyoung Park
    • Journal of Internet Computing and Services
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    • v.25 no.1
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    • pp.9-15
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    • 2024
  • As virtual reality technology became popular, a high demand emerged for natural and efficient interaction with the virtual environment. Mid-air manipulation is one of the solutions to such needs, letting a user manipulate a virtual object in a 3D virtual space. In this paper, we focus on manipulating a remote virtual object while visually displaying the object and providing tactile information on the object's weight. We developed two types of wearable interfaces that can provide cutaneous or vibrotactile feedback on the virtual object weight to the user's fingertips. Human perception of the remote virtual object weight during manipulation was evaluated by conducting a psychophysics experiment. The results indicate a significant effect of haptic feedback on the perceived weight of the virtual object during manipulation.

Signal Estimation of Target Using Modified Bartlett Method of Weight Updating (가중치 갱신의 수정 Bartlett 방법을 이용한 목표물 신호 추정)

  • Lee, Kwan-Hyeong;Joo, Jong-Hyuk
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.9 no.4
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    • pp.330-336
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    • 2016
  • In this paper, we studied for modified bartlett method to estimate desired information signal. Constrained length of bartlett method is assigned as one, and estimate desired information signal to compensate for delay time. Modified bartlett method is an optimum direction-of-arrival (DoA) estimation algorithm to apply delay time compensation to update optimum weight. The optimum weight is used linear constrained minimum variance method(LCMV). Through simulation, we are comparative analysis proposed algorithm and general Bartlett and MUSIC method. In desired signal estimation, condition simulation is an array antenna element numbers 6 or 9 and desired information signals number 3. We show the superior performance of the proposed algorithm relative to the existing method in estimation of desired information signal.