• Title/Summary/Keyword: age classification

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Challenges and Subjects of Marketing Research in the Digital Age

  • Lee, Seung-Hee;Kim, Jong-Ho;Quan, Yue-Shun;Li, Donjin
    • 한국디지털정책학회:학술대회논문집
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    • 2004.11a
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    • pp.87-95
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    • 2004
  • We explore marketing topics classification-internet marketing environment, internet marketing function, special internet marketing applications, internet marketing research, other topics in the digital age. This paper will introduce and discuss the changes that economic agents including firms and consumers will face in the digital marketing age. The digital revolution has shaken marketing to its core. The digital age provides the opportunity to reach vast new audiences with surgical precision.

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Validation of the International Classification of Diseases 10th Edition Based Injury Severity Score(ICISS) (ICD-10을 이용한 ICISS의 타당도 평가)

  • Jung, Ku-Young;Kim, Chang-Yup;Kim, Yong-Ik;Shin, Young-Soo;Kim, Yoon
    • Journal of Preventive Medicine and Public Health
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    • v.32 no.4
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    • pp.538-545
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    • 1999
  • Objective : To compare the predictive power of International Classification of Diseases 10th Edition(ICD-10) based International Classification of Diseases based Injury Severity Score(ICISS) with Trauma and Injury Severity Score(TRISS) and International Classification of Diseases 9th Edition Clinical Modification(ICD-9CM) based ICISS in the injury severity measure. Methods : ICD-10 version of Survival Risk Ratios(SRRs) was derived from 47,750 trauma patients from 35 Emergency Centers for 1 year. The predictive power of TRISS, the ICD-9CM based ICISS and ICD-10 based ICISS were compared in a group of 367 severely injured patients admitted to two university hospitals. The predictive power was compared by using the measures of discrimination(disparity, sensitivity, specificity, misclassification rates, and ROC curve analysis) and calibration(Hosmer-Lemeshow goodness-of-fit statistics), all calculated by logistic regression procedure. Results : ICD-10 based ICISS showed a lower performance than TRISS and ICD-9CM based ICISS. When age and Revised Trauma Score(RTS) were incorporated into the survival probability model, however, ICD-10 based ICISS full model showed a similar predictive power compared with TRISS and ICD-9CM based ICISS full model. ICD-10 based ICISS had some disadvantages in predicting outcomes among patients with intracranial injuries. However, such weakness was largely compensated by incorporating age and RTS in the model. Conclusions : The ICISS methodology can be extended to ICD-10 horizon as a standard injury severity measure in the place of TRISS, especially when age and RTS were incorporated in the model. In patients with intracranial injuries, the predictive power of ICD-10 based ICISS was relatively low because of differences in the classifying system between ICD-10 and ICD-9CM.

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Three-dimensional analysis of impacted maxillary third molars: A cone-beam computed tomographic study of the position and depth of impaction

  • de Andrade, Priscila Ferreira;Silva, Jesca Neftali Nogueira;Sotto-Maior, Bruno Salles;Ribeiro, Cleide Gisele;Devito, Karina Lopes;Assis, Neuza Maria Souza Picorelli
    • Imaging Science in Dentistry
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    • v.47 no.3
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    • pp.149-155
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    • 2017
  • Purpose: The classification of impacted maxillary third molars(IMTMs) facilitates interdisciplinary communication and helps estimate the degree of surgical difficulty. Thus, this study aimed to develop a 3-dimensional classification of the position and depth of impaction of IMTMs and to estimate their prevalence with respect to gender and age. Materials and Methods: This cross-sectional retrospective study analyzed images in sagittal and coronal cone-beam computed tomography (CBCT) sections of 300 maxillary third molars. The proposed classification was based on 3 criteria: buccolingual position (buccal, lingual, or central), mesial-distal position (mesioangular, vertical, or distoangular), and depth of impaction (low, medium, or high). CBCT images of IMTMs were classified, and the associations of the classifications with gender and age were examined using analysis of variance with the Scheffe post-hoc test. To determine the associations among the 3 classifications, the chi-square test was used (P<.05). Results: No significant association of the classifications with gender was observed. Age showed a significant relationship with depth of impaction (P=.0001) and mesial-distal position (P=.005). The most common positions were buccal(n=222), vertical(n=184), and low (n=124). Significant associations among the 3 tested classifications were observed. Conclusion: CBCT enabled the evaluation of IMTMs in a 3-dimensional format, and we developed a proposal for a new classification of the position and depth of impaction of IMTMs.

Dialect classification based on the speed and the pause of speech utterances (발화 속도와 휴지 구간 길이를 사용한 방언 분류)

  • Jonghwan Na;Bowon Lee
    • Phonetics and Speech Sciences
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    • v.15 no.2
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    • pp.43-51
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    • 2023
  • In this paper, we propose an approach for dialect classification based on the speed and pause of speech utterances as well as the age and gender of the speakers. Dialect classification is one of the important techniques for speech analysis. For example, an accurate dialect classification model can potentially improve the performance of speaker or speech recognition. According to previous studies, research based on deep learning using Mel-Frequency Cepstral Coefficients (MFCC) features has been the dominant approach. We focus on the acoustic differences between regions and conduct dialect classification based on the extracted features derived from the differences. In this paper, we propose an approach of extracting underexplored additional features, namely the speed and the pauses of speech utterances along with the metadata including the age and the gender of the speakers. Experimental results show that our proposed approach results in higher accuracy, especially with the speech rate feature, compared to the method only using the MFCC features. The accuracy improved from 91.02% to 97.02% compared to the previous method that only used MFCC features, by incorporating all the proposed features in this paper.

Video and Film Rating Algorithm using EEG Response Measurement to Content: Focus on Sexuality

  • Kwon, Mahnwoo
    • Journal of Korea Multimedia Society
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    • v.23 no.7
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    • pp.862-869
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    • 2020
  • This study attempted to analyze human brain responses toward visual content through EEG signals and intended to measure brain wave reactions of different age groups to determine the sexuality level of the media. The experimental stimuli consist of three different video footage (rated ages 12, 15, and 18) to analyze how subjects react in situations where they actually watch sexual content. For measuring and analyzing brain wave reactions, EEG equipment records alpha, beta, and gamma wave responses of the subjects' left and right frontal lobes, temporal lobes, and occipital lobes. The subjects of this study were 28 total and they are divided into two groups. The experiment configures a sexual content classification scale with age or gender as a discriminating variable and brain region-specific response frequencies (left/right, frontal/temporal/occipital, alpha/beta/gamma waves) as independent variables. The experimental results showed the possibility of distinguishing gender and age differences. The apparent differences in brain wave response areas and bands among high school girls, high school boys, and college students are found. Using these brain wave response data, this study explored the potential of developing algorithm for measurement of age-specific responses to sexual content and apply it as a film rating.

Wearable Sensor-Based Biometric Gait Classification Algorithm Using WEKA

  • Youn, Ik-Hyun;Won, Kwanghee;Youn, Jong-Hoon;Scheffler, Jeremy
    • Journal of information and communication convergence engineering
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    • v.14 no.1
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    • pp.45-50
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    • 2016
  • Gait-based classification has gained much interest as a possible authentication method because it incorporate an intrinsic personal signature that is difficult to mimic. The study investigates machine learning techniques to mitigate the natural variations in gait among different subjects. We incorporated several machine learning algorithms into this study using the data mining package called Waikato Environment for Knowledge Analysis (WEKA). WEKA's convenient interface enabled us to apply various sets of machine learning algorithms to understand whether each algorithm can capture certain distinctive gait features. First, we defined 24 gait features by analyzing three-axis acceleration data, and then selectively used them for distinguishing subjects 10 years of age or younger from those aged 20 to 40. We also applied a machine learning voting scheme to improve the accuracy of the classification. The classification accuracy of the proposed system was about 81% on average.

A Study on the status of treatment by acupunctury of community people in city area (도시민의 침치료에 대한 의식과 관련요인분석)

  • 정홍수;변정환;남철현
    • Korean Journal of Health Education and Promotion
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    • v.9 no.1
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    • pp.66-78
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    • 1992
  • This study carried out to investigate consciousness level and situation of treatment by acupuntury (the most important part of oriental medicine) and analyze factors affection to the praetice of exercise. The main purpose of the study was to give basic and necessery data in formulating a policy related to Oriental Medical Treatment. The study was conducted by trained surveyers, for dueller in three cities (Seoul, Busan and Taegu) during 1990. 1. 4 -1990. 1. 23. The result of this study can be summerized as follows. 1. The subject of criticism an investigation for general charactristic be conducted in seoul, Busan and Taegu city area an objective 417 person, 423 person, and 366 person was among those comparatively little more by male was higher rate than female. Those in classification age group evaluation was adopted by age group 10, 20 years old adult 41.3% of most higher rate, next rank was adopted by age group 40 years old (24.9%). 2. An objective of investigation survery was made to personnel were comparative an educated level significantly higher such as college graduated 48.8%, high school graduated 30.1%. And the native comes from urban area, rural, midium and small city rate were shown as 29.6%, 28.4% and 19.9% each other. There by classification of occupational job was shown by students has 27.4% are most higher significantly also there sales and servive field job appearanced 15.1% and expert technical job is 9.0%. Religion is buddist, Christianity, Catholicism all them each other shown 33.6%, 16.7% and 12.4%. An evaluation in economic situation value rate was appearanced by middle class is 61.7% and upper and lower classes are 14.4% and 23.9% with each other and married were 59.2% 3. The people resident in cities area has experience of acupuncture were 70.4% There by classification of an area was shown by Seoul, Busan and Taegu all them other shown 59.7%, 85.2%, 68.1%. According as sex was shown by male 71.7% was more higher than female. According as age was shown by 40 years 85.0% 50 years 77% 20 years old was more higher than 30, 60 years old.

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A classificatory study about the tendency of the patient who visited oriental medical hospital for growth treatment (한방병원에 내원하는 성장 환자의 유형 분류)

  • Han, Kyoung-Hoon;Park, Eun-Jung;Lee, Hai-Ja
    • The Journal of Pediatrics of Korean Medicine
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    • v.20 no.3
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    • pp.161-169
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    • 2006
  • Objectives : Patients who visit oriental medical hospital for growth treatment are increasing. So we aimed to classify the tendency of the patients. Methods : We studied 231 patients who visited Oriental medical hospital for growth treatment from January 2004 to August 2005. We classified sex ratio, height percentile, symptom form of the Oriental medicine, age ratio and developed complication of patients. We used X-ray, endoscope for nasal cavity, blood sample, the Standard Growth Table made by the Korean Association of Pediatrics, 1998. Results : The results which were classified as follows; boys were 50.2 percentile, girls were 49.8 percentile. The classification according to age stage resulted as follows; infant stage 1.3 percentile, preschool age 13.4%, school age 28.6%, rapid growth stage 22.9 percentile, puberty 33.8 percentile. The classification according to height percentile resulted as follows; 3 percentile or under 12.1%, 25 percentile or under 48.9%, 50 percentile or under 25.6%, 75 percentile or under 10.8%, 75 percentile excess 2.6%. The classification according to disease resulted as follows; paranasal sinusitis 12.1 percentile, allergic rhinitis 10 percentile, atopic dermatitis 5.6 percentile, nocturia 3 percentile, convulsion or tic disorder 2.2 percentile, precocious puberty 1.3 percentile, Tuner syndrome 0.9 percentile, developmental disability 0.4 percentile. Conclusions : Sex ratio of children patients who visited Orienatal medical hospital were nearly the same. 13.4% of hospital visit children patients were taller than average. Most of the male children patients were school ages while the female were in puberty. 35.5% of them have developed complication as follows; paranasal sinusitis, allergic rhinitis, atopic dermatitis, nocturia, convulsion or tic disorder, precocious puberty, Tuner syndrome and developmental disability.

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An Analysis of 2005 Summer Women's Street Fashion in Dalian, China (2005년(年) 여름 중국 대련시 여성(中國 大連市 女性) 스트리트 패션 분석(分析))

  • Cheon, Jee-Young;Bae, Soo-Jeong
    • Journal of Fashion Business
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    • v.10 no.2
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    • pp.1-17
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    • 2006
  • The purpose of this study is to analyze the street style of women in Dalian, China. 1.185 females of Dalian central street have participated for the survey of this study. This study analyzes characterization of the street style and, classifies it's characteristics by age groups, clothing styles, and clothing items. There are three outcomes due to the aim of this study, 1. In age group classification, every age groups preferred casual style. Especially, young/young adults preferred mix-match styles with various designs. Distinctly, some of missy group preferred fashion trend and others preferred mature style. Also, the preference of missies/madame's group is obviously divided into two groups which pursues fashion trend and not. 2. In clothing style classification, casual styles such as mini-skirts, hot pants, tight t-shirts are mostly in tight silhouette. Also, the main colors are indigo-blue, white, black and point color, which are vivid tone and fluorescent colors. The characteristics of sport casual style contribute the upper garment and the lower garment, which forms a set. Classic styles are divided into two groups of typical formal dress and traditional Qipao dress. The colors of feminine style and textile printing are more sumptuous than other styles. 3. In clothing items classification, the points of the upper garments is the construction of designs, textile printing, ornament with beads, embroidery, and ribbon etc., exposed back. The lower garments like hot pants and mini-skirts are made of jeans. The cargo pants that is made of jean, cotton, luster textile. Also, one-piece dress has the characteristics of tiered and irregular hem line.

The Upgrade of Sasangin Classification System by the Morphologic Study of Head and Face : Facial Differences on Sex and Age (사상체질진단 두면부 분석프로그램의 Upgrade 연구 : 성별.연령별 특징)

  • Seok, Jae-Hwa;Yoon, Jong-Hyun;Lee, Jun-Hee;Hwang, Min-Woo;Cho, Yong-Jin;Kho, Byung-Hee;Lee, Eui-Ju;Song, Il-Byung
    • Journal of Sasang Constitutional Medicine
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    • v.19 no.3
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    • pp.30-50
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    • 2007
  • 1. Objectives Facial features are the important personal characteristics. As a study of all the standardization research about the morphology of face and head, this study was carried out to find the differences according to sex, age. 2. Methods We have collected 1140 cases of patients of the Sasang constitutional Department of Kyung-Hee Medical Center and Kangnam Kyung-Hee Oriental Hospital. we took pictures their frontal view, lateral view of face and measured height, breaths and projected length of face with Face Features Measurement Program(FFMP) and analyzed shape differences of face according to sex, age. 3. Results We got the morphologic characteristics of face according to sex, age. And we will upgrade the Sasangin Classification System by this Morphologic study of Head and Face. 4. Conclusions 1) The morphologic characteristics of face according to sex (1) A man's head is longer and wider than a woman's in most measurement. (2) A woman's eye is bigger in height than man's. (3) A woman's face is looked full-filled than man's. (4) A man's polion is higher than pupil but a woman's polion is lower than pupil. 2) The morphologic characteristics of face according to age (1) Young age's forehead is longer and higher than old age's. (2) Young age's eyebrow is wider than old age's (3) Young age's eye is bigger in height than old age's (4) Old age's nose is longer, wider and lower than young age's (5) Old age's ear is longer than young age's (6) Old age's bigonial breath is wider than young age's (7) Old age's low face is extinguished than you age's

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