• Journal of the Korea Institute of Information Security & Cryptology
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• v.30 no.6
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• pp.1291-1300
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• 2020

Recently, a deep learning-based non-profiling side-channel analysis was proposed. The deep learning-based non-profiling analysis is a technique that trains a neural network model for all guessed keys and then finds the correct secret key through the difference in the training metrics. As the performance of non-profiling analysis varies greatly depending on the neural network training model design, a correct model design criterion is required. This paper describes the two types of loss functions and eight labeling methods used in the training model design. It predicts the analysis performance of each labeling method in terms of non-profiling analysis and power consumption model. Considering the characteristics of non-profiling analysis and the HW (Hamming Weight) power consumption model is assumed, we predict that the learning model applying the HW label without One-hot encoding and the Correlation Optimization (CO) loss will have the best analysis performance. And we performed actual analysis on three data sets that are Subbytes operation part of AES-128 1 round. We verified our prediction by non-profiling analyzing two data sets with a total 16 of MLP-based model, which we describe.

• The Journal of the Convergence on Culture Technology
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• v.7 no.3
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• pp.375-382
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• 2021

Adolescents with disabilities have unnatural behavior and language, which makes it difficult to use soft and flexible language and behavior, and lack of learning experience has limitations in not being free in mature behavioral communication. Eurhythmics musical rhythm elements were divided into time and space, power and weight, and balance and fluidity and reflected in teaching and learning so that adolescents with disabilities could have comfortable, creative, and original thoughts that bring about changes in thawing. In order to increase the effectiveness of education in the direction of observing the effect of improving self-esteem, communication, and creativity of adolescents with disabilities, the study guide applying the Eurhythmics rhythm element was fused with music education, art education, and physical education, and interviewed by selecting research participants. Based on the questionnaire, an observation method suitable for the study of adolescents with disabilities was conducted. As a result of the study, it was observed that the educational effect of the disabled youth was improved as a result of conducting the class by applying the Eurhythmics rhythm elements time and space, force and weight, balance and fluidity by integrating music, art, and physical education(line dance, playtime). Therefore, to supplement the limitations in this learning process, various educational methods applicable to the education of youth with disabilities, a support system that can reflect Eurhythmics education through physical play, and a method to properly compose various learning tools do.

• Journal of the Korean Society for information Management
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• v.18 no.3
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• pp.159-178
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• 2001

This paper presents an automatic text summarization model which selects representative sentences from sentence clusters to create a summary. Summary generation experiments were performed on two sets of test documents after learning the optimum environment from a training set. Centroid clustering method turned out to be the most effective in clustering sentences, and sentence weight was found more effective than the similarity value between sentence and cluster centroid vectors in selecting a representative sentence from each cluster. The result of experiments also proves that inverse sentence weight as well as title word weight for terms and location weight for sentences are effective in improving the performance of summarization.

• Journal of the Korea Society of Computer and Information
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• v.27 no.4
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• pp.27-36
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• 2022

In this paper, to improve the conditions of the fish processing site, we propose a method to predict the cutting point of fish according to the target weight using AI machine vision. The proposed method performs image-based preprocessing by first photographing the top and front views of the input fish. Then, RANSAC(RANdom SAmple Consensus) is used to extract the fish contour line, and then 3D external information of the fish is obtained using 3D modeling. Next, machine learning is performed on the extracted three-dimensional feature information and measured weight information to generate a neural network model. Subsequently, the fish is cut at the cutting point predicted by the proposed technique, and then the weight of the cut piece is measured. We compared the measured weight with the target weight and evaluated the performance using evaluation methods such as MAE(Mean Absolute Error) and MRE(Mean Relative Error). The obtained results indicate that an average error rate of less than 3% was achieved in comparison to the target weight. The proposed technique is expected to contribute greatly to the development of the fishery industry in the future by being linked to the automation system.

• The Journal of Korean Medicine
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• v.20 no.4
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• pp.39-49
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• 2000

This study was conducted to prove that there exists a relation between the spleen and learning and memory as Oriental medicine believesTo promote the function of the Spleen, Guibitang was administered to rats in this study. Rats were 250～300g Sprague-Dawley, and were divided into three groups. One was the normal group without any pretreatment. Another was the control group which was administered normal saline and the abdominal injection of L-NAME before learning and memory test. And the 3rd was the sample group, to which was administered Guibitang extract and (no 'the') abdominal injection of L-NAME before the learning and memory test. Each group was made up of 12 rats. Morris water maze and radial arm maze tasks were performed in the learning test and Morris water maze task in the memory test. For 2 days to evaluate the ability of learning in the Morris water maze, 16 trials were carried out and first latency(lapse time to find the escape platform for the first time) was measured. The next day, to evaluate the ability of memory, the escape platform was eliminated from the maze, and total path, target entry number, first latency and memory score were measured. 48hrs before the radial arm maze task was performed, bait was deprived from each group. After learning test, bait was permitted to each group. So 85% of the body weight was maintained for 6 days of the test. Each of the eight arms was baited; correct choice numer and error were counted; each trial was finished when the rat had entered each of the eight arms, or more than 10 minutes had elapsed. The results were as follows: In the learning test, the first latency of the sample group in the Morris water maze showed evident improvement of learning compared to control group at the 11th, 12th, 13th trial of 16 trials, and correct choice number in radial arm maze showed noticeable improvement compared to the control group at 3rd, 4th and 5th; In the memory test, the memory score of the sample group showed evident improvement compared to the control group. From the above results, the administration of Guibitang, which tonifies the function of the Spleen, could enhance the ability of learning and memory. So it was suggested that the Spleen has a relation with learning and memory.

• Women's Health Nursing
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• v.6 no.1
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• pp.96-108
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• 2000

The purpose of this study was to provide the basic data for developing a program for effective education about GDM(Gestational Diabetes Mellitus) by investigating the knowledge and learning needs of pregnant women about GDM. The subjects were 192 pregnant women who visited obstetrical clinics for prenatal care. The data were collected from October, 1998 to December, 1999, using a 50-item questionnaire(knowledge ; 30 items, learning needs ; 20 items), and analyzed by SAS program for t-test, ANOVA, Ducan test, and Pearson correlation coefficients. The results were as follows. 1. The knowledge level about GDM 1) Pregnant women had very little knowledge(total means ; 15.1 of 30.0) about GDM. 2) Pregnant women more than 30 years old, pregnant women from Seoul, and pregnant women who had more than a bachelor's degree were more knowledgeable about GDM. 3) Pregnant women who didn't experience spontaneous abortions, pregnant women who had DM(Diabetes Mellitus) patients in their families, and pregnant women who received education about DM were more knowledgeable about GDM. 4) Pregnant women knew very well that GDM women have more maternal and fetal complications than normal pregnant women. Although they were knowledgeable about the importance and ways of controlling blood glucose level, they knew very little about the causes, symptoms, or management of hypoglycemia. 2. The learning needs about GDM 1) Pregnant women had high learning needs (total means ; 85.0 of 100.0) about GDM. 2) The learning needs of pregnant women who had more than a bachelor's degree and pregnant women who earned less than two million won in monthly income were higher than that of other groups. 3) Pregnant women had high learning needs about the health of their baby and themselves, but their learning needs related to weight control and exercise-things that play important roles in controlling blood glucose level-were relatively low. As a result of the above findings, a systemic and individualized program is required for pregnant women and GDM patients, In addition to that, further studies that investigate the effects of education and retention of learning obtained by education are required in the near future.

• Journal of Elementary Mathematics Education in Korea
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• v.20 no.4
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• pp.627-654
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• 2016

Despite the significance of the measurement strand in elementary mathematics education, it is not easy to teach it meaningfully. This study analyzed instructional methods related to capacity and weight in a series of mathematics textbooks of Korea, Japan, Singapore, and the US. The overall analysis was conducted in the following two aspects: (a) what and when to teach main learning content, and (b) how to teach the learning content tailored to the instructional components specific to the topics of measurement (i.e., the necessity of measurement unit, the meanings of measurement terms, appropriate choice of units, appropriate choice of measurement tools, and the necessity of calculation). The results of this study showed overall similarities in using real-life contexts to teach major topics on capacity and weight as well as emphasizing the relations among measurement units. However, noticeable differences were also analyzed in dealing with the meanings of measurement terms, appropriate choice of units, and appropriate choice of measurement tools. Based on these results, this study provides textbook writers with implications on what to further consider in dealing with capacity and weight.

• The Journal of the Convergence on Culture Technology
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• v.9 no.4
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• pp.337-349
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• 2023

Interest in bodybuilding, such as weight training, has increased, but research on the motivation and behavioral intention of college students is lacking. Therefore, this study aimed to examine the motives of bodybuilding participation for college students and to find out the effect on behavioral intention by mediating the psychological resistance that occurs during the bodybuilding. As for the research method, a questionnaire was conducted on 250 users through an online survey from May 30 to June 10, 2023, and a total of 232 copies were used for the final analysis. As a result of the study, first, among college students' motivation to participate in weight training, the health-oriented type and self-development type had a positive effect on voluntary acceptance. Second, among the motives for participating in weight training, the home-oriented type was found to have a negative effect on opportunistic acceptance. Finally, voluntary acceptance had a positive effect on learning outcomes, and opportunistic acceptance had a negative effect on learning outcomes. Using the results of this study, it is expected that it will be helpful to understand the factors and policies in promoting the physical health of college students.

• Journal of the Korea Society of Computer and Information
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• v.29 no.7
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• pp.33-40
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• 2024

The live weight of livestock is important information for managing their health and housing conditions, and it can be used to determine the optimal amount of feed and the timing of shipment. In general, it takes a lot of human resources and time to weigh livestock using a scale, and it is not easy to measure each stage of growth, which prevents effective breeding methods such as feeding amount control from being applied. In this paper, we aims to improve the accuracy of weight measurement of piglets, weaned pigs, nursery pigs, and fattening pigs by collecting, analyzing, learning, and predicting video and image data in animal husbandry and pig farming. For this purpose, we trained using Pytorch, YOLO(you only look once) 5 model, and Scikit Learn library and found that the actual and prediction graphs showed a similar flow with a of RMSE(root mean square error) 0.4%. and MAPE(mean absolute percentage error) 0.2%. It can be utilized in the mammalian pig, weaning pig, nursery pig, and fattening pig sections. The accuracy is expected to be continuously improved based on variously trained image and video data and actual measured weight data. It is expected that efficient breeding management will be possible by predicting the production of pigs by part through video reading in the future.

• Journal of Information Technology Services
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• v.17 no.1
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• pp.91-103
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• 2018

This study developed a prediction model using machine learning technology and predicted the success of health consulting by using life log data generated through u-Health service. The model index of the Random Forest model was the highest using. As a result of analyzing the Random Forest model, blood pressure was the most influential factor in the success or failure of metabolic syndrome in the subjects of u-Health service, followed by triglycerides, body weight, blood sugar, high cholesterol, and medication appear. muscular, basal metabolic rate and high-density lipoprotein cholesterol were increased; waist circumference, Blood sugar and triglyceride were decreased. Further, biometrics and health behavior improved. After nine months of u-health services, the number of subjects with four or more factors for metabolic syndrome decreased by 28.6%; 3.7% of regular drinkers stopped drinking; 23.2% of subjects who rarely exercised began to exercise twice a week or more; and 20.0% of smokers stopped smoking. If the predictive model developed in this study is linked with CBR, it can be used as case study data of CBR with high probability of success in the prediction model to improve the compliance of the subject and to improve the qualitative effect of counseling for the improvement of the metabolic syndrome.