• Title/Summary/Keyword: Self-Recognition

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Modeling of Positive Selection for the Development of a Computer Immune System and a Self-Recognition Algorithm

  • Sim, Kwee-Bo;Lee, Dong-Wook
    • International Journal of Control, Automation, and Systems
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    • v.1 no.4
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    • pp.453-458
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    • 2003
  • The anomaly-detection algorithm based on negative selection of T cells is representative model among self-recognition methods and it has been applied to computer immune systems in recent years. In immune systems, T cells are produced through both positive and negative selection. Positive selection is the process used to determine a MHC receptor that recognizes self-molecules. Negative selection is the process used to determine an antigen receptor that recognizes antigen, or the nonself cell. In this paper, we propose a novel self-recognition algorithm based on the positive selection of T cells. We indicate the effectiveness of the proposed algorithm by change-detection simulation of some infected data obtained from cell changes and string changes in the self-file. We also compare the self-recognition algorithm based on positive selection with the anomaly-detection algorithm.

Self-Recognition Algorithm of Artificial Immune System (인공면역계의 자기-인식 알고리즘)

  • 선상준;이동욱;심귀보;성원기
    • 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.

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Measurement Tools for the Practice of Caring and Sharing by Adolescents (청소년의 배려와 나눔 실천을 위한 측정도구 개발 연구)

  • Baek, Min-Kyung
    • Family and Environment Research
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    • v.56 no.1
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    • pp.99-108
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    • 2018
  • This study develops a scale to measure the practice of consideration and sharing by adolescents. This data as an object of high school students in regards to items generated from the content validity test and preliminary study stage based on the consideration scale, literature review and expert for elementary school students on a 5-point Likert scale. The factor analysis of the collected data using SPSS 20.0 2 indicated the final fators. The three fanal factors designated by the measuring items are: 'practice of consideration and sharing', 'recognition of consideration and sharing', and 'self-recognition'. As a result of analyzing students' individual variables, this study found that family relationship satisfaction and school life satisfaction had positive relationship in self-recognition, recognition of consideration and sharing, practice of consideration and sharing, and total personality score. The measurement tools developed in this study, are expected to act as valid tools to develop a program that can increase the practice of consideration and sharing activities.

A Study on the Effects of the Elderly's Social Support and Self-Esteem on the Suicidal Ideation (노인의 사회적 지지와 자아존중감이 자살생각에 미치는 영향)

  • Kong, Hye-Seon;Lee, Myung-Sun
    • The Journal of Korean Society for School & Community Health Education
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    • v.13 no.3
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    • pp.113-125
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    • 2012
  • Objectives: This study was aimed to inspect what relation there exists between the elderly's social support, self-esteem and the suicidal thinking, and examined factors influencing their suicidal ideation. Methods: For 207 old persons above 65 residing at Seoul, questionnaire survey was performed for 4 weeks. For response data, t-test and ANOVA, Pearson's Correlation Coefficient and Multiple Regression Analysis were performed using spss 18.0 program. Results: The results of analysis are like followings. 1. As for the social support according to the general characteristics, there was statistically significant difference in sex distinction, religion, living arrangement, educational level, monthly allowance and mode to use spare time. As for self-esteem according to the general characteristics, there was statistically significant difference in sex distinction, religion, living arrangement and monthly allowance. And as for the suicidal ideation, there was statistically significant difference in the marital status. 2. As for the relation between the social support, self-esteem and the suicidal ideation, it showed statistically very significant positive correlation in the social support and self-esteem. And there existed relatively higher positive correlation in family support among sub-factors of the social support and the positive self-recognition among sub-factors of self-esteem. 3. It showed that positive and negative self-recognition as sub-factors of self-esteem, others' support as sub-factor of the social support influence on the suicidal ideation. In other words, as positive self-recognition was lower, as negative self-recognition was higher, as social support of others was lower, they had much more effect on the suicidal ideation of the elderly. And it showed about 36.1% of the explanatory capability. Conclusions: Health care providers should develop school health education for the elderly.

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Self-Recognition Algorithm of Artificial Immune System (인공면역계의 자기-인식 알고리즘)

  • 심귀보;선상준
    • 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.

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The Influence Factors of Adolescents' Suicide Dimension (청소년들의 자살차원에 미치는 영향요인)

  • Park, Jae-Woo;Hwang, Byung-Deog
    • The Korean Journal of Health Service Management
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    • v.8 no.3
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    • pp.193-205
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    • 2014
  • The purpose of this study is to find out the effects of the socio-demographic characteristics, self-recognition factors, and health behavior factors of Korean adolescents on suicide dimension, and grasp the effects of suicide thinking of adolescents on attempting suicide. This study used the eighth primitive data of the "Web-based Survey on Adolescents Health Behavior(2012)", and targeted 72,228 actual test respondent(93.8%). In conclusion, risk factors that greatly influence the suicide dimension of adolescents can be summarized into level of happiness, level of stress, depression, experience drinking, experience smoking, experience with drugs, suicide thinking, etc. and considering these risk factors, a preparation for preventing adolescents' suicide should be established, and along with a regular education, developing and expanding a treatment program for preventing recurrence afterwards of adolescents who have experience attempting suicide are necessary.

A Self-Recognition Algorithm based Biological Immune System

  • Sim, Kwee-Bo;Lee, Dong-Wook;Sun, Sang-Joon;Shim, Jae-Yoon
    • 제어로봇시스템학회:학술대회논문집
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    • 2001.10a
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    • pp.115.1-115
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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 on computer and has abilities of self reproduction and 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 mood of positive selection and negative selection of self-recognition process that is ability of ...

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The research about Scalp treatments by self-recognition of adult's losing hair (성인 남·녀 탈모 자가인식에 의한 두피관리실태 연구)

  • Kim, Mijung;Jung, Sookhee;Shim, Sunnyu
    • Journal of the Korea Convergence Society
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    • v.3 no.3
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    • pp.21-27
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    • 2012
  • The survey was carried out with a random sample of adults living in Busan and Gyeongnam. The collected material is used by the SPSS version 12.0. The frequency, percentage, examination were applied for studying. We separated the group of safety, general management, real hair management according to characteristic about scarp and hair problems. There is highly understanding about the hair problem that if someone has really sensitive scalp or who has dandruff or who has thin hair or who has someone has hair losing problem in their family. Usually, the group has highly understanding of hair problem, they consult about their hair and scalp with expert. They have a really good attention about the mass media(TV, Internet, Newspaper, Magazine) for scalp and hair health. They reduce using hair products. They always read hair product brochure first and use it. They don't eat fast food frequently. The survey has shown high levels of article. Now the research showed us that s have a strict connection between self-recognition and scalp treatments. That means someone has understanding hair problem then start treatment first.

Modelling of Artificial Immune System for Development of Computer Immune system and Self Recognition Algorithm (컴퓨터 면역시스템 개발을 위한 인공면역계의 모델링과 자기인식 알고리즘)

  • Sim, Kwee-Bo;Kim, Dae-Su;Seo, Dong-Il;Rim, Kee-Wook
    • Journal of the Korean Institute of Intelligent Systems
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    • v.12 no.1
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    • pp.52-60
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    • 2002
  • 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 and 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 and negative selection for self recognition which have a similar function like T-cytotoxic cell that plays an important role in biological immune system. 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. And we showed the validity and effectiveness of the proposed self recognition algorithm by computer simulation about various infected data obtained from the cell change and string change in the self file.