• Journal of the Korean Institute of Intelligent Systems
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• v.11 no.9
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• pp.801-806
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• 2001

According as many people use a computer newly, damage of computer virus and hacking is rapidly increasing by the crucial users A computer virus is one of program in computer and has abilities of self reproduction ad destruction like a virus of biology. And hacking is to rob a person's data in a intruded computer and to delete data in a person s computer from the outside. To block hacking that is intrusion of a person s computer and the computer virus that destroys data, a study for intrusion-detection of system and virus detection using a biological immune system is in progress. In this paper, we make a model of positive selection and negative selection of self-recognition process that is ability of T-cytotoxic cell that plays an important part in biological immune system. So we embody a self-nonself distinction algorithm in computer, which is an important part when we detect an infected data by computer virus and a modified data by intrusion from the outside. The composed self-recognition process distinguishes self-file from the changed files. To prove the efficacy of self-recognition algorithm, we use simulation by a cell change and a string change of self file.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2001.12a
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• pp.185-188
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• 2001

According as many people use a computer newly, damage of computer virus and hacking is rapidly increasing by the crucial users. To block hacking that is intrusion of a person's computer and the computer virus that destroys data, a study for intrusion-detection of system and virus detection using a biological immune system is in progress. In this paper, we make a model of positive selection and negative selection of self-recognition process that is ability of T-cytotoxic cell that plays an important part in biological immune system. So we embody a self-nonself distinction algorithm in computer. To prove the efficacy of self-recognition algorithm, we use simulations by a cell change and a string change of self file.

• Journal of the Korean Society of Clothing and Textiles
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• v.18 no.2
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• pp.180-188
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• 1994

The purpose of this study was to evaluate the effect of basic needs and demographic variables of adult woman on the modesty and aethetics In the selection of clothes. The results of the study were as follows: 1. There are factors which have effect on variables of need. School careers have effect on physical need. Age, marriage status and household type have effect on safty need. Native community and household type have effect on self-esteem. School career, native community, household type and frequency of contact with mass media have effects on need of self-actualizing and native community has effect on the aesthetic need. 2. Physical bleed, self-esteem, self-actualization, safety need, fiequency of contact with mass media, age, native community and income have direct effect on the modesty of clothing. 3. Aethetic and self-actualization need, frequency of contact with mass media and income have direct effect on the aethetics of clothing.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.13 no.8
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• pp.1608-1614
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• 2009

Many learners on E-learning databank based selection system making self-directed progress with learning by diagnosis oneself based on automatically selection questions using degrees of difficulty. This methods is most important to choose a questions using right a way for effective self-directed learning progress of learners. This paper present new question selection algorithms consider for degree of difficulty, scope of learning and keyword of questions according to examination type. This algorithm providers more effective learning diagnosis methods as compared with previous algorithm consider for only degrees of difficulty.

• International journal of advanced smart convergence
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• v.12 no.1
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• pp.173-183
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• 2023

Recently, local governments that provide mobile-based public delivery app services have been increasing a lot. The purpose of this study is to analyze whether the restaurant self-employed's public delivery app selection attributes and public institutions' perception of support, which are under economic pressure due to the high delivery fee burden of private delivery apps, affect the intention to use public delivery app services. In this study, the degree of perception of each factor was measured using the Likert 5-point scale, and it was verified through statistical analysis using SPSS. The effect of the selection attribute of public delivery apps and the perception of self-employed people in the restaurant industry on the intention to use the service was empirically analyzed, and the hypothesis was verified using regression analysis. As a result of this study, it was confirmed that convenience, economy, and public interest had a significant effect among the factors of public app selection attributes, and educational support had a significant effect on public institution support.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.6
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• pp.1979-1995
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• 2015

Network convergence is regarded as the development tendency of the future wireless networks, for which self-organization paradigms provide a promising solution to alleviate the upgrading capital expenditures (CAPEX) and operating expenditures (OPEX). Self-optimization, as a critical functionality of self-organization, employs a decentralized paradigm to dynamically adapt the varying environmental circumstances while without relying on centralized control or human intervention. In this paper, we present comprehensive surveys of heterogeneous networks (HetNets) and investigate the enhanced self-optimization models. Self-optimization approaches such as dynamic mobile access network selection, spectrum resource allocation and power control for HetNets, etc., are surveyed and compared, with possible methodologies to achieve self-optimization summarized. We hope this survey paper can provide the insight and the roadmap for future research efforts in the self-optimization of convergence networks.

• Journal of Korean Library and Information Science Society
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• v.50 no.1
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• pp.177-198
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• 2019

The purpose of this study is to understand student's reading motivation by laying out self-selected reading program and running it at school libraries. The self-selected reading program based on self-determination theory ensures the autonomy of book selection. The self-selected reading program in this study provided a number of scope and recommended book lists in order to ensure the autonomy of book selection and developed integrated reading and writing. After finishing this program, the author measured 6 domains of reading motivation with participated students who completed this course. As a result, it turned out that autonomous motive domains excessively surpassed heteronomous motive domains. Such autonomy of book selection, one of the key features from self-selected reading programs, is expected to help making the best use of school library collections by recommended book lists and stimulating stable and sustainable reading habits driven by self-motivation.

• Journal of Convergence for Information Technology
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• v.11 no.12
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• pp.59-69
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• 2021

This study aimed to clarify the effects of nursing students' major selection motivation on their career decision making self-efficacy and major satisfaction. For the goal, the study made a questionnaire survey of 300 nursing students in their 3rd or 4th year of a college in J City. 285 sheets were finally analyzed using the SPSS 25 Program. The findings of this research are as follows. Concerning general characteristics, there's a significant difference in influence on the abovementioned self-efficacy between personality and school satisfaction. Major satisfaction significantly varied depending on school satisfaction. There were significantly positive correlations existed between major selection motivation, and major satisfaction. Either intrinsic or extrinsic motivation affected the foresaid self-efficacy and major satisfaction in a significant, positive way. Regarding the influence of factors of major satisfaction on those of major selection motivation, curriculum and perception satisfaction had significant effects on intrinsic motivation as well as extrinsic one, while relationship satisfaction had such effect only on intrinsic motivation. These findings suggest that strategies for raising nursing students' major selection motivation should be taken, resultantly improving their career decision making self-efficacy and major satisfaction.

• Journal of Nutrition and Health
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• v.23 no.7
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• pp.504-512
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• 1990

In experiment 1, dietary self-selection of the 3 macronutrients, protein, fat, and carbohydrate were examined in male rats given 3 food cups of 80% carbohydrate, 80% protein, and 70% fat diets simultaneously. All the rats showed normal growth pattern and organ weight, which means they have ability to select just right kinds and amounts of nurients in order to support their growth and development. Mean values of caloric intake, body weight gain, serum lipid values and empty carcass compositions were not significantly differ between the upper and lower quartile groups of fat proportion of empty carcass compared to the lower quartile group(LF). Same feeding design was employed in experiment 2 where the effect of mild electric stress on food selection was studied. The rats in both control and electric stress group revealed a normal growth curve and organ weights. The rats in both control and electric stress group revealed a normal growth curve and organ weights. The stress group showed higher caloric intake and body weight gain than control group, but no significant effects of stress on serum and empty carcass components was found. Even though normal rats seemed to select macronutrients according to their physiolosical needs, there were individual differences in food selection whether they were exposed to stress or not. Therefore life long individual food selection pattern may have a great influence on nutritional status and chronic degenerative diseases of eldery, and on aging process.

• Journal of Information Processing Systems
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• v.13 no.2
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• pp.305-320
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• 2017

The selection of subset size is of great importance to the accuracy of digital image correlation (DIC). In the traditional DIC, a constant subset size is used for computing the entire image, which overlooks the differences among local speckle patterns of the image. Besides, it is very laborious to find the optimal global subset size of a speckle image. In this paper, a self-adaptive and bidirectional dynamic subset selection (SBDSS) algorithm is proposed to make the subset sizes vary according to their local speckle patterns, which ensures that every subset size is suitable and optimal. The sum of subset intensity variation (${\eta}$) is defined as the assessment criterion to quantify the subset information. Both the threshold and initial guess of subset size in the SBDSS algorithm are self-adaptive to different images. To analyze the performance of the proposed algorithm, both numerical and laboratory experiments were performed. In the numerical experiments, images with different speckle distribution, different deformation and noise were calculated by both the traditional DIC and the proposed algorithm. The results demonstrate that the proposed algorithm achieves higher accuracy than the traditional DIC. Laboratory experiments performed on a substrate also demonstrate that the proposed algorithm is effective in selecting appropriate subset size for each point.