• Title/Summary/Keyword: Gender Classification

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Association Analysis of Parkinson's Disease using Apriori Algorithm

  • Jung, Yong-Gyu;Kim, Oh-Jin;Won, Jae-Kang
    • International journal of advanced smart convergence
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    • v.1 no.1
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    • pp.43-47
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    • 2012
  • Parkinson's disease is representative degenerative diseases of the nervous system, which is from deficiency of dopamine neurons to pass in which the gradual degeneration of the body. In this paper, open UCI repository data of Parkinson's patients is used for experiments. The classification based on correlation analysis is examined. In addition, the relationship between groups is differentiated by cluster analysis based on patients with Parkinson's disease by apriori algorithm and correlation analysis. It is used to find the properties that distinguish cluster analysis. Though the disease is the same in the basic structure, each group is compared as each gender group with the most distinctive part of the characteristics.

Cosmetic Involvement Scale Development and Group Classification focusing on Korean Men in their 20s and 30s (Part 1) (2.30대 한국 남성의 화장품 관여도 척도개발 및 집단 유형화(제1보))

  • Baek, Kyoungjin;Hong, Hye Rim
    • Journal of the Korean Society of Costume
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    • v.67 no.1
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    • pp.95-109
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    • 2017
  • The objectives of this study are to develop a cosmetic involvement scale focusing on Korean men in their 20s and 30s, verify its validity and examine the characteristics of this group. The results of this study's analyses showed that cosmetic involvement scale could be classified into 5 factors: 'trend & interest involvement', 'prestige sensitivity involvement', 'price and value involvement', 'skin involvement,' and 'obligatory involvement'. Also the cosmetic involvement of the target group was classified into 'amusing high-involvement group', 'rational low-involvement group', and 'obligatory high-involvement group'. This study has significance in showing differences of cosmetic involvement factors by gender and proposing a cosmetic involvement scale of Korean men in their 20s and 30s, which has taken men's distinctiveness into consideration.

Gender Classification of Human Behaviors Using Structure Adaptive Self-organizing Map (구조적응 자기구성 지도를 이용한 인간 행동의 성별 분류)

  • 류중원;조성배
    • Proceedings of the Korean Information Science Society Conference
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    • 2001.04b
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    • pp.298-300
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    • 2001
  • 본 논문에서는 구조적응 자기구성 지도 모델을 사용하여 인간 행동의 성별을 분류하는 인식기를 제안하였다. 26명의 사람이 '화난 상태' 혹은 '보통 상태'의 두가지 정서 하에서 '문 두드리기', '손 흔들기', '물건 들어올리기'의 세가지 동작을 수행하는 동안, 행위자 관절점의 속도나 위치 정보로부터 성별을 분류하였다. 또한 SASOM의 성능 비교 분석을 위하여 전통적인 SOM, 다층 퍼셉트론과 거의 두 가지 결합 모델, SASOM와 의사결정트리 결합 모델, 단일 의사 결정트리, $textsc{k}$-최근접 이웃 등의 인식기를 구현하여 성능을 비교분석 하였다. 실험 결과 SASOM 분류기가 가장 높은 이식률을 보였으며 분류기로서 유용함을 알 수 있었다.

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Gender Classification using Non-Negative Matrix Analysis with Sparse Logistic Regression (Sparse Logistic Regression 기반 비음수 행렬 분석을 통한 성별 인식)

  • Hur, Dong-Cheol;Wallraven, Christian;Lee, Seong-Whan
    • Proceedings of the Korean Information Science Society Conference
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    • 2011.06c
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    • pp.373-376
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    • 2011
  • 얼굴 영상에서 구성요소(눈썹, 눈, 코, 입 등)의 존재에 따라 보는 사람의 얼굴 인식 정확도는 큰 영향을 받는다. 이는 인간의 뇌에서 얼굴 정보를 처리하는 과정은 얼굴 전체 영역 뿐만 아니라, 부분적인 얼굴 구성요소의 특징들도 고려함을 말한다. 비음수 행렬 분해(NMF: Non-negative Matrix Factorization)는 이러한 얼굴 영역에서 부분적인 특징들을 잘 표현하는 기저영상들을 찾아내는데 효과적임을 보여주었으나, 각 기저영상들의 중요도는 알 수 없었다. 본 논문에서는 NMF로 찾아진 기저영상들에 대응되는 인코딩 정보를 SLR(Sparse Logistic Regression)을 이용하여 성별 인식에 중요한 부분 영역들을 찾고자 한다. 실험에서는 주성분분석(PCA)과 비교를 통해 NMF를 이용한 기저영상 및 특징 벡터 추출이 좋은 성능을 보여주고, 대표적 이진 분류 알고리즘인 SVM(Support Vector Machine)과 비교를 통해 SLR을 이용한 특징 벡터 선택이 나은 성능을 보여줌을 확인하였다. 또한 SLR로 확인된 각 기저영상에 대한 가중치를 통하여 인식 과정에서 중요한 얼굴 영역들을 확인할 수 있다.

Real-time Gender Classification based on Deep Learning in Embedded System (임베디드 환경에서의 딥 러닝(Deep Learning) 기반 실시간 성별 인식)

  • Jeong, Hyunwook;Kim, Dae Hoe;Baddar, Wisam J.;Ro, Yong Man
    • Proceedings of the Korea Information Processing Society Conference
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    • 2016.04a
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    • pp.745-748
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    • 2016
  • 사물 인터넷(loT)의 확산에 따라 기계가 사용자의 정보를 인식하는 일이 매우 중요해졌다. 그 중에서도 성별은 사용자의 특징을 판단하는 결정적인 요소 중 하나이다. 하지만 아직 성별 인식에 관련된 연구는 여전히 도전적이며 향상시킬 부분이 많이 남아있다. 본 논문에서는 deep-convolutional neural network (DCNN)를 이용하여 높은 성능을 갖는 성별 인식 네트워크를 제안하며, 이를 모바일 GPU 보드에 임베디드 포팅(porting)하여 실시간 성별인식 시스템을 구성한 뒤, PC 환경과 모바일 GPU 환경에서 제안하는 시스템의 성능을 비교, 분석한다.

A Study on the Representation of Body Images from Date Show Program: Text Analysis of TVn's "Love Switch" (데이트 쇼 프로그램에서 표출된 몸 이미지의 표상 -TVn <러브스위치> 텍스트 분석을 중심으로-)

  • Hahm, Hyun
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.12 no.7
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    • pp.2957-2962
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    • 2011
  • The purpose of this paper is a semiotic analysis of a dating show on television program, and the attribute contains a variety of social and cultural phenomenons. Analyzed in this study shows relates with TVn's "Love Switch" from cable channel of the text through the classification of gender and thinking of behavior revealed by the structural characteristics of the men and women's appearances. And, how the television culture We rule the world and develop a sense of whether they are examined.

A Study on the Choice Preferences of 3-6 Year-old Children for Intelligent Development Games (3-6세 아동의 지능개발 게임의 선택기호에 대한 연구)

  • Lei, Zhang;Kim, Chee-Yong
    • Journal of Korea Multimedia Society
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    • v.24 no.4
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    • pp.610-618
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    • 2021
  • This thesis is based on the theory of multiple intelligences proposed by the american educator and psychologist Dr.Gardner. According to the definition and classification of children's intelligence development games by predecessors, 6 types of intelligence development suitable for children aged 3 to 6 are summarized games, fill in the questionnaire to understand children's personal preferences, the purpose is to understand whether children aged 3 to 6 have a preference for intelligent development games and whether the preference will be affected by gender and age, and to understand the reality of children aged 3 to 6 Preferences and intellectual development needs provide a factual basis for more scientifically launching intelligent development games.

Gender Classification Using Open Quotient and Fundamental Frequency (Open Quotient와 Fundamental Frequency 정보를 이용한 성 별 분류)

  • Kim, Hye-Jin;Yoon, Young-woo;Yoon, Ho-sub;Lee, Jae-Yeon
    • Proceedings of the Korea Information Processing Society Conference
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    • 2009.11a
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    • pp.319-320
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    • 2009
  • 본 논문은 Open Quotient 정보와 Fundamental Frequency 정보를 이용한 성별 분류에 관한 것이다. 기존의 대표적인 성별 분류 특징정보로 Fundamental Frequency가 있으나, Fundamental Frequency 정보로는 이용하여 분류하는 데에 중점을 두어왔으나 이 정보는 노인 혹은 어린이에 대해서는 성별 분류 특징이 어렵다는 단점이 있었다. 한편 본 논문에서 제안하는 방법은 Open Quotient와 Fundamental Frequency의 연령대에 따른 차별 정보를 이용하여 학습시켜 성별분류를 보다 나은 성능으로 분류할 수 있다.

Evaluation of Therapeutic Differences of Angiotensin II Receptor Blockers and Calcium Channel Blockers Among Hypertensive Patients Classified by Oriental Traditional Way (한국적 의학 기준에 근거한 고혈압환자의 Angiotensin II Receptor Blockers와 Calcium Channel Blockers의 약물 평가)

  • Lee, Ok Sang;Cheon, Young Ju;Ye, Kyong Nam;Yoon, Hee Young;Kim, Jung Tae;Lee, Yun Jeong;Lim, Sung Cil
    • YAKHAK HOEJI
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    • v.58 no.2
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    • pp.141-149
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    • 2014
  • Background: Oriental lifestyle for treating diseases has been developed and well-accepted for a long time among Koreans. Sasang Constitution theory, originated from Korean traditional medicine, suggests that medication treatment should be differentiated by each patient's body classification (So-yang [SY], So-eum [SE], Tae-yang [TY], and Tae-eum [TE]), in contrary to western medicine's theory that medication should be applied equally by disease indication without such classification. However, the pharmacotherapeutic outcomes of these theories have not been compared to date. In this study, we aimed to compare the two theories by evaluating blood pressure (BP), which is lowered as a therapeutic outcome, among hypertensive patients taking angiotensin II receptor blockers (ARBs) or calcium channel blockers (CCBs), two most commonly used antihypertensive classes in Korea. Methods: From April 2006 to June 2012, we retrospectively collected data on hypertensive patients with Sasang Constitution classification at Kyunghee University Hospital at Gangdong, one of the East-West collaborative medical centers in Korea. We collected information on age, gender, underlying diseases, antihypertensive drugs (ARB, CCB, ARB+CCB), and BP by reviewing the electronic medical records. We excluded patients with missing blood pressure at baseline or follow-up, or those who had a change in their antihypertensive drug class during follow-up. Results: We selected a total of 573 patients (SY: 165, SE: 158, TY: 0, TE: 250). Baseline BPs were on average 139.0/82.0 mmHg for SY, 137.8/78.5 mmHg for SE, and 138.7/79.2 mmHg for TE. In all three groups, CCBs were the most prescribed, followed by combination therapy with ARB+CCB, then ARBs. BP reduction after 1 month of initial medication was significantly different among the drug classes, but not in Sasang constitutional classification (ARB [SY: -12.4/-4.7, SE: -12.3/-2.5, TE: -8.6/-1.8], CCB [SY: -12.3/-5.4, SE: -13.0/-2.3, TE: -10.8/-6.0], ARB+CCB [SY: -15.6/-6.7, SE: -18.4/-8.1, TE: -20.2/-6.7], drug [$P{\leq}0.05$/P>0.05], constitutional type [P>0.05/P>0.05]). Conclusion: We observed significant differences in reduction of blood pressure by classes of drugs (ARB+CCB>CCB>ARB) but not by Sasang constitutional classification. Therefore, current approach of antihypertensive pharmacotherapy assisted by Western medicine is appropriate for treatment of hypertension. However, further larger scale or prospective studies are required in order to confirm these results.

Quantitative evaluation and affecting factors of post-treatment relapse tendency (교정치료 후 나타나는 재발 경향에 대한 정량적 평가와 영향을 미치는 요소에 대한 연구)

  • Son, Woo-Sung;Cha, Kyung-Suk;Chung, Dong-Hwa;Kim, Tae-Woo
    • The korean journal of orthodontics
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    • v.41 no.3
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    • pp.154-163
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    • 2011
  • Objective: The purpose of this study was to quantitatively evaluate relapse tendency after orthodontic treatment and determine the contributing factors by using the American Board of Orthodontics objective grading system (ABO-OGS). Methods: The subjects were 80 patients with more than 2 years of retention period after completing orthodontic treatment at the dental hospitals of Busan University, Kyunghee University, and Dankook University. The posttreatment (T2) and post-retention (T3) ABO-OGS measurements were analyzed in relation to age, gender, Angle's classification, extraction, retention period, and pretreatment condition (initial peer assessment rating (PAR) index, T1) by multiple regression analysis. Results: Among the 7 ABO-OGS criteria, alignment worsened but occlusal contact and interproximal contact improved in T3, but not in T2 ($p$ < 0.01). The 4 other criteria showed no significant differences. Multiple regression analysis showed that alignment, occlusal relationship, overjet, and interproximal contact were significant linear models, but with a low explanation power. Age, gender, Angle's classification, extraction, retention period, and pretreatment condition (initial PAR index, T1) had little influence on the ABO-OGS changes between T3 and T2. Conclusions: An orthodontist's understanding of posttreatment relapse tendency can be useful in diagnosis and during patient consultation.