• 제목/요약/키워드: Self-Recognition

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The Effects of Self-Defense Categories, Rate of Self-Defense recognition in News Article, and the Individual Characteristics of Mock Jurors on the Self-Defense Judgment (정당방위 유형, 신문기사의 정당방위 인정비율, 판단자 개인 특성이 정당방위 판단에 미치는 영향)

  • Kim, Yong ae;Kim, Min Chi
    • Korean Journal of Forensic Psychology
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    • v.12 no.2
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    • pp.171-197
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    • 2021
  • The purpose of this study is to examine empirically how the lay people judge self-defense and what factors could affect it. A total of 651 participants aged 20 years and over were asked to answer, attitude toward interpersonal violence, and legal attitude questionnaire, all divided by the type of self-defense. Participants were assigned one of the three types of situations that were claimed to be self-defense, and were given articles and scenarios related to each type of self-defense before making self-defense judgments. In addition, the impact of personal factors on self-defense judgment was analyzed after the legal attitude, and the attitude toward interpersonal violence, which are personal factors, was also measured. The results showed that the rate of recognition of self-defense was the highest in the type of self-defense for oneself, but the rate of denial of self-defense against state agencies was much higher, indicating the opposite. Furthemore, negative articles on self-defense were found to affect the judgment of self-defense. In addition, it was found that the level of the attitude toward interpersonal violence and legal attitude of individual participants could affect the judgment of self-defense. The general public's judgment process and the factors that affect self-defense judgment may be considered to prevent biased judgment in actual jury trials. Finally, influence, and limitations of this study and suggestions of subsequent study were also discussed.

Self-differentiation, Family Function and Stress Level in High School Students (고등학생의 자아분화 정도 및 가족기능과 스트레스 수준에 대한 연구)

  • Kim, Chung-Youb;Jo, Hyun-Sook
    • Child Health Nursing Research
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    • v.14 no.1
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    • pp.61-70
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    • 2008
  • Purpose: The purpose of this study was to investigate the relationship between high school students' self-differentiation, family function and their level of stress. Method: A questionnaire which consisted of questions on general characteristics of the high school students, and 36 questions on self-differentiation, 17 questions on family function, and 37 questions on level of stress was used to collect the data. Participants were 201 second grade high school students from Bucheon City. Descriptive statistics, T-test, ANOVA, correlation and multiple regression were used with SPSS 10.0 to analyze the data. Results: The mean scores for self-differentiation, family function, and levels of stress were 3.27, 3.39, and 2.61 respectively. The relationship between self-differentiation and level of stress revealed a significant negative correlation. The relationship between self-differentiation and family function showed a significant positive correlation. The relationship between family function and stress level showed a significant negative correlation. Conclusion: The results of the study show that variation in level of stress was related to family regression, recognition/emotional function, family projection, role recognition and emotional support and emotional cutoff which together explained 40.9% of the variance in level of stress.

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All Optical Header Recognition for Information Processing of Packet by Packet in The Access Network based on FTTH (FTTH 기반의 가입자망에 있어 패킷단위의 정보처리를 위한 전광학 헤더 인식)

  • Park, Ki-Hwan
    • Journal of the Institute of Electronics Engineers of Korea TC
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    • v.47 no.1
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    • pp.69-76
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    • 2010
  • We describe an all-optical circuit which recognizes the header information of packet-by-packet in the access networks based on FTTH. The circuit's operation is confirmed by an experiment in the recognition of 3 and 4 header bits. The output from the header recognition circuit appears in a signal assigned in the time axis according to the header information. The recognition circuit of header for self-routing has a very simple structure using only delay lines and switches. The circuit is expected that it can be constructed of the high reliability and the low cost. Also, the circuit can solve the problems of the power loss and private security which is the weak point of the TDM-PON method by being established a unique transmission line to each subscriber.

Facial Shape Recognition Using Self Organized Feature Map(SOFM)

  • Kim, Seung-Jae;Lee, Jung-Jae
    • International journal of advanced smart convergence
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    • v.8 no.4
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    • pp.104-112
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    • 2019
  • This study proposed a robust detection algorithm. It detects face more stably with respect to changes in light and rotation forthe identification of a face shape. The proposed algorithm uses face shape asinput information in a single camera environment and divides only face area through preprocessing process. However, it is not easy to accurately recognize the face area that is sensitive to lighting changes and has a large degree of freedom, and the error range is large. In this paper, we separated the background and face area using the brightness difference of the two images to increase the recognition rate. The brightness difference between the two images means the difference between the images taken under the bright light and the images taken under the dark light. After separating only the face region, the face shape is recognized by using the self-organization feature map (SOFM) algorithm. SOFM first selects the first top neuron through the learning process. Second, the highest neuron is renewed by competing again between the highest neuron and neighboring neurons through the competition process. Third, the final top neuron is selected by repeating the learning process and the competition process. In addition, the competition will go through a three-step learning process to ensure that the top neurons are updated well among neurons. By using these SOFM neural network algorithms, we intend to implement a stable and robust real-time face shape recognition system in face shape recognition.

On-line Recognition of Chinese Characters Based on ART-l Neural Network (ART-1 신경망을 이용한 온라인 한자 인식)

  • 김상균;정종화;김진욱;김행준
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.33B no.2
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    • pp.168-177
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    • 1996
  • In this paper, we propose an on-line recognition system of chinese characters using an adaptive resonance theory-1(ART-1) neural network. Strokes, primitive components of chinese characters are usually warped into a cursive form and classifying them is very difficult. To deal with such cursive strokes, we use an ART-1 neural network that has the following advantages: (1) it automatically assembles similar patterns together to form classes in a self-organized manner: (2) it directly accesses the recognition codes corresponding to binary input patterns after self-stabilizing; (3) it doesn't tends to get trapped in local minima, or globally incorrect solutions. A database for character recognition also dynamically constructed with generalized character lists, and a new character can be included simply by adding a new sequence to the list. Character recognition is achieved by traversing the chinese datbase with a sequence of recognized strokes and positional relations between the strokes. To verify the performance of the system. We tested it for 1800 daily-used basic chinese second per character. This results suggest that the proposed system is pertinent to be put into practical use.

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An Enhanced Neural Network Approach for Numeral Recognition

  • Venugopal, Anita;Ali, Ashraf
    • International Journal of Computer Science & Network Security
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    • v.22 no.3
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    • pp.61-66
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    • 2022
  • Object classification is one of the main fields in neural networks and has attracted the interest of many researchers. Although there have been vast advancements in this area, still there are many challenges that are faced even in the current era due to its inefficiency in handling large data, linguistic and dimensional complexities. Powerful hardware and software approaches in Neural Networks such as Deep Neural Networks present efficient mechanisms and contribute a lot to the field of object recognition as well as to handle time series classification. Due to the high rate of accuracy in terms of prediction rate, a neural network is often preferred in applications that require identification, segmentation, and detection based on features. Neural networks self-learning ability has revolutionized computing power and has its application in numerous fields such as powering unmanned self-driving vehicles, speech recognition, etc. In this paper, the experiment is conducted to implement a neural approach to identify numbers in different formats without human intervention. Measures are taken to improve the efficiency of the machines to classify and identify numbers. Experimental results show the importance of having training sets to achieve better recognition accuracy.

Investigating factors influencing genderless fashion preferences - A focus on self-esteem, sociocultural attitude toward appearance, and gender role identity - (젠더리스패션 선호에 영향을 미치는 요인에 관한 연구 - 자아존중감, 외모에 대한 사회문화적 태도, 성역할정체감을 중심으로 -)

  • Hyun Ji Lee
    • The Research Journal of the Costume Culture
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    • v.31 no.6
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    • pp.705-719
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    • 2023
  • The study aimed to investigate the factors influencing genderless fashion preferences. The questionnaires were collected from men and women participants aged 20 to 49 living in Seoul City and Gyeonggi Province. Data analysis involved factor analysis, t-test, ANOVA, and regression analysis. The findings revealed that genderless fashion preference comprised four factors, namely individuality pursuit, deviation from norms, fashion pursuit, and social recognition pursuit. Self-esteem encompassed two factors positive self-esteem, and negative self-esteem. while sociocultural attitude toward appearance consisted internalization, and awareness. Second, positive self-esteem significantly influenced individuality pursuit and deviation from norms in genderless preference factors. Third, sociocultural attitude toward appearance had a significant effect on genderless fashion preference, with awareness particularly exerting a significant effect on individuality pursuit, fashion pursuit, and social recognition pursuit. Fourth, genderless fashion preferences exhibited differences based on gender role identity in factors such as individual pursuit, norm avoidance, and trend pursuit. Lastly, demographic characteristics such as age, education, occupation, and monthly income revealed significant differences in genderless fashion preferences. From the results of the study, it was found that consumers perceived individuality pursuit, fashion pursuit, and social recognition pursuit as important influencing factors of genderless fashion preferences. In addition, it is necessary to create an independent brand identity by developing various items to express consumers' individuality, differentiated brand concepts from other brands, and store displays.

Effects on Entrepreneurial Intention by Start-up Environment and Self-efficacy Mediated by Fear of Business Failure (창업 환경 및 인식이 사업실패부담감을 매개로 창업의지에 미치는 영향)

  • Oh, Sang-Hoon;Ha, Kyu-Soo
    • Journal of Digital Convergence
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    • v.11 no.8
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    • pp.143-157
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    • 2013
  • The purpose of this study is firstly, to find out the factors of entrepreneurial intention in potential entrepreneurs, and secondly to examine the relationship between objective start-up environment and subjective recognition of start-up environment, and entrepreneurial intention. For this study, investigation has been done to find out if fear of business failure, that is notoriously high among Koreans, acts as an influential factor between objective start-up environment/subjective recognition of start-up environment and entrepreneurial intention. The data is collected from 335 respondents comprised of college students and adults who are interested in starting their own businesses. The results of this study are as follows : (1) Objective start-up environment and subjective recognition of start-up environment, which is self-efficacy, have a positive effect on entrepreneurial intention. (2) Fear of business failure mediates the relationship between objective start-up environment/subjective recognition of start-up environment, and entrepreneurial intention (3) Child-care system, as an explain variable in the objective start-up environment in this study, is an important factor in the process of entrepreneurial commitment.

A New Self-Organizing Map based on Kernel Concepts (자가 조직화 지도의 커널 공간 해석에 관한 연구)

  • Cheong Sung-Moon;Kim Ki-Bom;Hong Soon-Jwa
    • The KIPS Transactions:PartB
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    • v.13B no.4 s.107
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    • pp.439-448
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    • 2006
  • Previous recognition/clustering algorithms such as Kohonen SOM(Self-Organizing Map), MLP(Multi-Layer Percecptron) and SVM(Support Vector Machine) might not adapt to unexpected input pattern. And it's recognition rate depends highly on the complexity of own training patterns. We could make up for and improve the weak points with lowering complexity of original problem without losing original characteristics. There are so many ways to lower complexity of the problem, and we chose a kernel concepts as an approach to do it. In this paper, using a kernel concepts, original data are mapped to hyper-dimension space which is near infinite dimension. Therefore, transferred data into the hyper-dimension are distributed spasely rather than originally distributed so as to guarantee the rate to be risen. Estimating ratio of recognition is based on a new similarity-probing and learning method that are proposed in this paper. Using CEDAR DB which data is written in cursive letters, 0 to 9, we compare a recognition/clustering performance of kSOM that is proposed in this paper with previous SOM.

Weight Control and Associated Factors among Health-related Major Female College Students in Seoul (서울지역 건강관련 전공 여대생의 체중조절 및 관련 요인)

  • Lim, Jae-Yeon;Rha, Hye-Bog
    • Korean Journal of Community Nutrition
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    • v.12 no.3
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    • pp.247-258
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    • 2007
  • This study was conducted to investigate weight control status and associated factors among health-related major female college students. The subjects consisted of 41 nutrition and 78 physical exercise major female college students. Nutrient intakes, biochemical index, nutrition knowledge (recognition and accuracy), interest of weight control, body satisfaction, self-recognition of health condition, self-evaluated body weight were studied. About 73% of nutrition and 79% of physical exercise major female students were in the normal range of BMI ($18.5{\sim}23$) and 2% of nutrition and 1% of physical exercise major female students were underweight, 10% of nutrition and 6% of physical exercise major female students were obese. There were no significant differences in height and weight by major but %body fat and WHR in physical exercise majors were significantly lower than nutrition major students (respectively p<0.01, p<0.05). Overall, nutrition intakes of subjects were not shown to be appropriate, especially Ca/P of subjects was shown $0.54{\sim}0.64$, fat% out of energy of subjects was shown $24.7{\sim}29.0$ and Na intake was shown above 2000mg. Recognition and accuracy of nutrition were higher than those of physical exercise majors (p<0.001). There were no significant differences in self-recognition of health condition, self-evaluated body weight, satisfaction of body shape by major and weight control attempt. But interest of weight control of attempter was higher than that of no-attempter in nutrition (p<0.05) and physical exercise major students (p<0.01). Significantly negative correlation was found in satisfaction of body and BMI, body fat mass, %bodyfat, WHR. And significantly positive correlation was found in interest of weight control and BMI, %bodyfat, WHR. It was noticeable to see that interest of weight control was positively correlated to accuracy and accuracy was negatively correlated to blood cholesterol level. Therefore, proper nutrition education for female college students is needed in order to improve their weight control-related health.