• Journal of the Korean Data and Information Science Society
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• v.23 no.3
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• pp.495-504
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• 2012

In this study, we propose a statistical model based on projection that generates interview scores. In this model, each interviewee's true score and its related variable are viewed as X, Y values respectively in the two dimensional plane, and each interviewer's score is the projected score of true score X to the axis rotated by some angle, which reflects the interviewer's perspective. Each interviewer's observed interview score is obtained by adding personal bias and observed error to this projected score. We compared commonly used standardizing methods of interview scores such as trimmed mean method, rank method, and z-score method based on the proposed statistical model. In this simulation, two types of interview methods, two numbers of interviewers, two degrees of interviewers' expertise and two distributions and three correlations between actual score and its related variable are all considered.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.29 no.5
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• pp.1007-1017
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• 2019

Currently, most biometrics system authenticates users by using single biometric information. This method has many problems such as noise problem, sensitivity to data, spoofing, a limitation of recognition rate. One method to solve this problems is to use multi biometric information. The multi biometric authentication system performs information fusion for each biometric information to generate new information, and then uses the new information to authenticate the user. Among information fusion methods, a score-level fusion method is widely used. However, there is a problem that a normalization operation is required, and even if data is same, the recognition rate varies depending on the normalization method. A rank-level fusion method that does not require normalization is proposed. However, a existing rank-level fusion methods have lower recognition rate than score-level fusion methods. To solve this problem, we propose a rank-level fusion method with higher recognition rate than a score-level fusion method using correlation coefficient. The experiment compares recognition rate of a existing rank-level fusion methods with the recognition rate of proposed method using iris information(CASIA V3) and face information(FERET V1). We also compare with score-level fusion methods. As a result, the recognition rate improve from about 0.3% to 3.3%.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.44 no.1
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• pp.49-55
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• 2007

This paper presents a method of score counting for computer Go that includes the consideration of stability, management of dead stones, and an algorithm for score counting. Thus, method for managing dead stones, filling all dames, and making additional moves is presented, along with a score-counting algorithm, where dames are defined as empty points that are not included in the area of a group, while additional moves are required for life when filling all the dames. In experiments using the final positions of 362 games, a mean error of 8.66, 5.96, and 4.15 was recorded for the score counting produced by the CGoban, HandTalk, and proposed methods, respectively. The proposed method was confirmed by experiments where it was success fully applied to the final positions.

• The Journal of the Acoustical Society of Korea
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• v.43 no.3
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• pp.314-323
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• 2024

Recently, a score-penalty method has been used for the acoustic passive tracking of marine mammals. The interesting aspect of this technique lies in the loss function, which has a penalty term representing the mismatch between the measured signal and the modeled signal, while the traditional time-domain matched-field processing is positively considering the match between them. In this study, we apply the score-penalty method into the depth estimation of a passive target with a known source waveform. Assuming deep ocean environments with uncertainties in the sound speed profile, we evaluate the score-penalty method, comparing it with the time-domain matched field processing method. We shows that the score-penalty method is more accurate than the time-domain matched field processing method in the ocean environment with weak mismatch of sound speed profile, and has better efficiency. However, in the ocean enviroment with strong mismatch of the sound speed profile, the score-penalty method also fails in the depth estimation of a target, similar to the time-domain matched-field processing method.

• Journal of Korean Physical Therapy Science
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• v.24 no.1
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• pp.49-58
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• 2017

Purpose: To determine the effect of Functional movement screen(FMS) of Healthy subjects. Method: 18 subjects were randomly assigned toFunctional movement screen test. To measure functional movement screen(deep squat, hurdle step, in line lunge, shoulder mobility reaching, active straight leg raise, trunk stability push up, rotary stability). Result: FMS scores were deep squat 2.61score, right hurdle step 2.67 score, lift hurdle step 2.83 score, in line lunge 2.83 score, right shoulder mobility 2.67 score, left shoulder mobility 2.61 score, right active straight-leg raise 3.00 score, left active straight-leg raise 3.00 score, trunk stability push up 2.33 score, rotary stability 1.94 score. Conclusion: FMS can improve functional movement in healthy adults.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.13 no.10
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• pp.1997-2003
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• 2009

Methods for effective musical score recognition and efficient editing of musical scores are demanded because functions of computers for researches on musical activities become more and more important parts in recent days. In the conventional methods for handling musical scores manually, there are weak points such as incorrect score symbols in input process and requirement of much time to adjust the incorrect symbols. And also there is another weak point that the scores edited by each application program can be remodified by a specific application program only. In this paper, we proposed a method for automatic musical score recognition of printed musical scores in order to make up for the weak points. In the proposed method, staffs in a scanned score image are eliminated by horizontal histogram, noises are removed by 4 directional edge tracking algorithm, and then musical score symbols are extracted by using Grassfire algorithm. The extracted symbols are recognized by hierarchical ART2 algorithm. In order to evaluate the performance of the proposed method, we used 100 musical scores for experiment. In the experiment, we verified that the proposed method using hierarchical ART2 algorithm is efficient.

• Research in Community and Public Health Nursing
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• v.13 no.4
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• pp.648-667
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• 2002

This was a descriptive study designed to identify the level of coping method and its influencing factors on the family caregivers of demented patients, and resolve the family caregivers' level of stress. The data were collected from September 10 to October 10, 2001. Subjects for this study were recruited from four clinics, which were chosen from 15 clinics located in Chunbuk-Do as the study sites because of their cooperation for the study. They were similar in terms of size, the characteristics of the local community. and the population and registration status of the demented patients. The instruments used for the study were as follows: 1. Problematic behaviors of demented patients are measured by the Memory and Behavior Problem Checklist (Zarit, 1980), and the Linguistic Communication Symptoms Questionnaire (Bayles and Tomoeda, 1991) 2. The ability to carry out daily activities was measured using the Barthel Index (1965) and Katz Index (1963), which as well-known ADL assessment methods. 3. Burden was measured using Cost of Care Index by the Kosberg and Cairl (1986). 4. Coping strategy was measured Bell's 18 methods (1977). The data were analyzed using SPSS/PC. The study results were as follows: 1. The total stress score was 2.90 out of a maximum score of 5. The highest score reported was 3.09 on the dimension of restriction of individual and social activities, and the lowest region reported was 2.58 on the dimension of mental and physical health. 2. The total score of the coping method was 2.65 out of a maximum score of 5. The highest score reported was 4.01 on the dimension of thinking that includes an ideation such that it is better than any possible worst case, and the lowest score reported was 1.45 on the dimension of the self-image as a scapegoat. 3. There were significant differences in coping method among the subjects by age (F=2.752 p=0.04), caregiver (F=4.33 p=0.003), care-giving period (F=2.68 p=0.049), and dementia stage (F=2.87 p=0.034). 4. There were highly negative correlations ($\gamma$=-0.301 p=0.000) between problematic behaviors of demented patients and the coping method of their family caregivers. The highest correlation coefficient ($\gamma$=-0.339 p=0.000) was found between aggressive behaviors of the demented patients and the coping method of their family caregivers. 5. There was a low negative correlation ($\gamma$=-0.201 p=0.019) between the ADL of the demented patients and the coping method of their family caregivers. 6. There were highly negative correlations ($\gamma$=-0.213 p=0.005) between stress and the coping method of the family caregivers. The highest correlation was found between financial burden ($\gamma$=-.327 P=.000) and the coping method of the family caregivers. There was no significant correlation among unpleasant aspects of the demented patients, willingness to the demented patients, and the coping method of the family caregivers.

• Journal of Korea Society of Digital Industry and Information Management
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• v.9 no.3
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• pp.31-38
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• 2013

The evolution of the Web from Web 1.0 to Web 2.0 has brought up new platforms as SNSs(Social Network Service) that are used by users to articulate and manage their relationships. SNSs are an online phenomenon which has become extremely popular. A SNS essentially consists of a representation of each user, his/her social links, and a variety of additional services. SNSs are increasingly attracting the attention of academic and industry researchers. What makes SNS unique is that they have a relationship with friends. The friend recommendation is one important feature of social networking services. People tend to trust the opinions of friends they know rather than the opinions of strangers. In this paper, we propose an efficient data processing method for social data. We study previous researches about social score in social network service. Our ESS(Efficient Social Score) is computed by both friendship weight and score of a document that was tagged by a user's friends. Our experimental results also confirm that our method has good performance.

• The Journal of the Society of Korean Medicine Diagnostics
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• v.11 no.2
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• pp.116-127
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• 2007

Background and Purpose: Acording to chaos theory, irregular signals of electroencephalogram can interpretated by nonlinear method. Chaotic nonlinear dynamics in EEG can be studied by calculating the correlation dimension. The aim of this study is to analyze EEG by correlation dimension and do Correlation Analysis of correlation dimension and cold-heat score Method: EEG raw data were measured during 15 minutes and choosed 40 seconds. We calculated correlation dimension and used surrogate data method for checking nonlinear data. After then do correlation analysis Result and Conclusion: Correlation dimension of channel 7 and channel 8 are showed significant correlation with cold score.

• Journal of the Korean Data and Information Science Society
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• v.22 no.2
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• pp.189-196
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• 2011

In this study, we perform a simulation study to compare frequently used standardization methods for interview scores based on trimmed mean, rank mean, and z-score mean. In this simulation study we assume that interviewer's score is influenced by a weighted average of true interviewee's true score and independent noise whose weight is determined by the professionality of the interviewer. In other words, as interviewer's professionality increases, the observed score becomes closer to the true score and if interviewer's professionality decreases, the observed score becomes closer to the noise instead of the true score. By adding interviewer's tendency bias to the weighed average, final interviewee's score is assumed to be observed. In this simulation, the interviewers's cores for each method are computed and then the method is considered best whose rank correlation between the method's scores and the true scores is highest. Simulation results show that when the true score is from normal distributions, z-score mean is best in general and when the true score is from Laplace distributions, z-score mean is better than rank mean in full interview system, where all interviewers meet all interviewees, and rank mean is better than z-score mean in half split interview system, where the interviewers meet only half of the interviewees. Trimmed mean is worst in general.