• 한국정보통신학회논문지
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• 제6권1호
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• pp.76-82
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• 2002

본 연구에서는 계층적 신경회로망을 사용하여 정상, 후두질환(polyp, nodule, palsy 등), 후두질환 중 성문암 시기별 감별진단이 가능한 후두질환 감별진단 분류기를 구현하였다. 후두질환을 가진 환자군과 정상군, 그리고 성문암의 각 시기별에 해당되는 환자군으로부터 /a/, /e/, /i/, /o/, /u/ 모음에 따른 분류작업을 수행하였다. 각 모음별 분류 실험을 수행한 결과 모든 입력 파라미터에 대해서 /a/모음이 다른 모음에 비해 우수한 분류율을 나타내므로, /a/모음만을 사용하여 후두질환을 감별진단하기 위한 계층적 신경회로망을 구현하였다. 구현된 계층적 신경회로망은 각 계층별로 서로 다른 파라미터들을 적용하여 여러 후두질환을 감별진단하도록 구성되었다.

• 한국콘텐츠학회논문지
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• 제19권6호
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• pp.461-470
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• 2019

신장질환은 당뇨병환자에서 흔한 합병증이며, 알부민뇨 배설의 증가, 사구체여과율의 감소가 특징적이다. KDIGO 분류에 따라 6기 국민건강영양조사 원시자료를 이용하여 알부민뇨와 사구체여과율에 따라 특성을 분석하였다. 당뇨환자를 KDIGO의 분류에 따라, Low risk 72.0%, Moderate risk 19.3%, High risk 5.6%, Very high risk 3.0%이었다. 당뇨병 유병기간이 길어질수록 Low risk는 74.7%에서 52.2%로 감소하였고, Moderate~Very high risk는 25.4%에서 47.8%로 상승하였다. 위험요인은 CKD stage 1 (HR 2.064) ~ stage 4 (HR 11.049)로 고혈압의 위험도가 가장 높았다. 고혈압 유병기간에 따라 신장질환의 발생빈도는 상승하였고, 적정 혈압을 유지하는 군에서 신장질환의 위험도 0.42가 감소하였다. 고혈압 환자에서 적정 혈압으로 관리하는 군이 그렇지 않은 군보다 42%의 신장질환의 감소효과가 있었다. 그러므로 고혈압을 적정혈압으로 조절 및 관리하는 것이 신장질환의 예방에 있어 중요하다.

• 한국시뮬레이션학회논문지
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• 제29권4호
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• pp.1-7
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• 2020

농작물 질병에 대한 조기 진단은 질병의 확산을 억제하고 농업 생산성을 증대하는 데에 있어 중요한 역할을 하고 있다. 최근 합성곱신경망(convolutional neural network, CNN)과 같은 딥러닝 기법을 활용하여 농작물 잎사귀 이미지 데이터세트를 분석하여 농작물 질병을 진단하는 다수의 연구가 진행되었다. 이와 같은 연구를 통해 농작물 질병을 90% 이상의 정확도로 분류할 수 있지만, 사전 학습된 농작물 질병 외에는 진단할 수 없다는 한계를 갖는다. 본 연구에서는 미학습 농작물에 대해 효율적으로 질병 여부를 진단하는 모델을 제안한다. 이를 위해, 먼저 VGG16을 활용한 농작물 질병 분류기(CDC)를 구축하고 PlantVillage 데이터세트을 통해 학습하였다. 이어 미학습 농작물의 질병 진단이 가능하도록 수정된 질병 분류기(mCDC)의 구축방안을 제안하였다. 실험을 통해 본 연구에서 제안한 수정된 질병 분류기(mCDC)가 미학습 농작물의 질병진단에 대해 기존 질병 분류기(CDC)보다 높은 성능을 보임을 확인하였다.

• 한국정보과학회:학술대회논문집
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• 한국정보과학회 2010년도 한국컴퓨터종합학술대회논문집 Vol.37 No.1(C)
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• pp.447-451
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• 2010

In this paper, we propose a simple but effective algorithm to increase the speed of Emphysema region classification. Emphysema region classification method based on CT image consumes a lot of time because of the large number of subregions due to the large size of CT image. Some of the sub-regions contain no Emphysema and the classification of these regions is worthless. To speed up the classification process, we create an algorithm to select Emphysema region candidates and only use these candidates in the Emphysema region classification instead of all of the sub-regions. First, the lung region is detected. Then we threshold the lung region and only select the dark pixels because Emphysema only appeared in the dark area of the CT image. Then the thresholded pixels are clustered into a region that called the Emphysema pre-detected region or Emphysema region candidate. This region is then divided into sub-region for the Emphysema region classification. The experimental result shows that Emphysema region classification using predetected Emphysema region decreases the size of lung region which will result in about 84.51% of time reduction in Emphysema region classification.

• 한국콘텐츠학회논문지
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• 제19권10호
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• pp.364-371
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• 2019

국제보건기구(WHO)는 게임중독을 질병으로 분류하는 제11차 국제 질병분류체계(ICD-11)를 2018년에 발표하였다. 죄악주 기업은 부정적인 중독성을 갖고 있으며, 사회적 비용에 따른 세금이 부과되는 기업으로 정의된다. 우리나라에서도 질병분류체계에 게임중독을 질병으로서 등재한다면, 국내 게임 기업은 게임중독이라는 질병과 게임중독세라는 사회적 비용을 유발하는 죄악주 기업으로 인식될 가능성이 높다. 이는 게임 산업이 죄악주 범위에 새롭게 포함되어, 산업적 확장 및 발전에 제동이 걸릴 수 있다는 가능성을 내포한다. 이에 본 연구에서는 죄악주 기업의 국민적 인식을 확인해보고자, 국내 게임 기업이 죄악주에 포함되는 것이 게임 기업의 취업선호도에 미치는 영향을 조사하였다. 연구결과, 게임 기업의 죄악주화에 대해서는 반대하는 의견이 높게 나타났으며, 게임 기업이 죄악주로서 분류되는 것에 대한 원인으로서 높은 중독성과 사행성이 제시되었다. 또한, 게임 기업이 죄악주로 분류될 경우 기업 가치와 취업선호도는 낮아지는 것으로 관찰되었다. 본 연구는 최근 사회적 이슈로 떠오른 게임장애의 질병코드 규정에 따른 게임 기업의 죄악주화에 대한 가능성을 제시하였다는 데 의의가 있다. 또한, 본 연구에서는 게임 기업의 죄악주화가 게임 기업에 대한 취업선호도에 미치는 효과를 통계적으로 보고함으로서 학계와 시장참여자에게 공헌할 것이다.

• 농촌의학ㆍ지역보건
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• 제21권2호
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• pp.173-193
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• 1996

This study was carried out to elucidate the causes of farmer's disease and greenhouse disease in the rural area of Kyungnam province during 1996. 2,171 (69.1%) of the 3,140 adults above 20 years old who had lived in the selected 20 villages in Uiryong County of Kyungnam Province were selected in order to over both residents who live in the green house distracts and conventional rural area. The results were as follows: 1. Among the subjects, the male was 42.2% and female was 57.6%. The average age for the male was 52.3, 55.6 for the female. 2. The proportion of the farmers in the subjects was 81.5%. Among these 78.0% were engaged in the greenhouse farming. 3. Among the eight symptoms of Nofusho(japanese farmer's comples), lumbago was the most frequently complained and followed by shoulder stiffness and parenthesis of hand or foot. 4. The total score of farmer's disease was evidently higher in the female and the older the score was clearly bigger. 5. The prevalence of Nofusho(Japanese farmer's comples)was 26.8% and 43.15% was for the suspected Nofusho. In the male, the prevalence of Nofusho was 13.6% and 40.9% for the suspected Nofusho and in the female 36.5% and 44.7% were shown, comparatively. 6. According to the multiple classification analysis, sex, age, and occupation were selected as significant variables to explain the total score of Nofusho. 7. The correlations between the total score of Nofusho and the number of sick day, working years, and age were significant, comparatively. 8. According to the multiple classification analysis corolling interaction between independent variables, age was the only variable which was significant in the male and age, pesticide work in the female. 9. The score of greenhouse disease was highest in the group who engaged in greenhouse farming and conventional farming(2.76 for male, 3.77 for female) followed by the group who engaged only in greening house farming(2.66 for male, 3.49 for female) and by the group who engaged only in conventional farming(2.27 for male, 3.05 for female) 10. According to the multiple classification analysis with the total score of greenhouse disease as dependent variable, corolling interaction between independent variables, age and pesticide work were revealed as significant variables in the male, while, pesticide work and farming type were significant in the female. According to the above results, the following could be suggested. Because lumbago, shoulder stiffness, paresthesia of hand and foot were the most frequently complained symptoms in the respondent, the development of farming tool to reduce the body burden and periodical physical exercise and rest is highly recommended. It is revealed that both in the farmer' disease and greenhouse disease the score was higher in the female than in the male. So the reasonables measures is recommended to reduce the working hours of the female. Pesticide work was revealed as the significant variable in the female in farmer's disease and both in the male and the female in greenhouse disease. So the development of the safe method of pesticide spraying including safety education should be introduced. Particularly the female should be excluded in pesticide spraying.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제14권8호
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• pp.3312-3327
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• 2020

Plant diseases are a significant yield and quality constraint for farmers around the world due to their severe impact on agricultural productivity. Such losses can have a substantial impact on the economy which causes a reduction in farmer's income and higher prices for consumers. Further, it may also result in a severe shortage of food ensuing violent hunger and starvation, especially, in less-developed countries where access to disease prevention methods is limited. This research presents an investigation of Directional Local Quinary Patterns (DLQP) as a feature descriptor for plants leaf disease detection and Support Vector Machine (SVM) as a classifier. The DLQP as a feature descriptor is specifically the first time being used for disease detection in horticulture. DLQP provides directional edge information attending the reference pixel with its neighboring pixel value by involving computation of their grey-level difference based on quinary value (-2, -1, 0, 1, 2) in 0°, 45°, 90°, and 135° directions of selected window of plant leaf image. To assess the robustness of DLQP as a texture descriptor we used a research-oriented Plant Village dataset of Tomato plant (3,900 leaf images) comprising of 6 diseased classes, Potato plant (1,526 leaf images) and Apple plant (2,600 leaf images) comprising of 3 diseased classes. The accuracies of 95.6%, 96.2% and 97.8% for the above-mentioned crops, respectively, were achieved which are higher in comparison with classification on the same dataset using other standard feature descriptors like Local Binary Pattern (LBP) and Local Ternary Patterns (LTP). Further, the effectiveness of the proposed method is proven by comparing it with existing algorithms for plant disease phenotyping.

• 인터넷정보학회논문지
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• 제15권3호
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• pp.109-116
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• 2014

본 논문에서는 분류 성능을 향상하기 위해서 Takagi-Sugeno(T-S) 퍼지 모델 기반의 가중 퍼지소속함수 기반 신경망(Neural Network with Weighted Fuzzy Membership Functions; NEWFM)을 이용한 새로운 인스턴스 선택을 제안하였다. 제안하는 인스턴스 선택은 T-S 퍼지 모델에서의 가중 평균 역퍼지화와 통계학에서 사용하는 정규분포의 신뢰구간과 같은 구간 선택을 이용하여 인스턴스를 선택하였다. 제안하는 인스턴스 선택의 분류 성능을 평가하기 위해서 인스턴스 사용 전/후에 따라서 분류 성능을 비교하였다. 인스턴스 사용 전/후에 따른 분류 성능은 각각 77.33%, 78.19%로 나타났다. 또한 인스턴스 사용 전/후에 따른 분류 성능 간에 차이점을 보여주기 위해서 통계학에서 사용하는 맥니마 검정을 사용하였다. 맥니마 검정의 결과로 유의 확률이 0.05보다 적게 나오므로 인스턴스 선택의 분류 성능이 인스턴스 선택을 하지 않는 경우의 분류 성능보다 우수함을 확인 할 수가 있었다.

• 한방안이비인후피부과학회지
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• 제17권3호
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• pp.1-7
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• 2004

Objectives: In order to establish a base for proper treatment and management of patients with dermal problems through correct diagnosis, I considered the naming rule for dermatology in Oriental Medicine, referring to the dermatology literature compared to western medicine. In addition, this paper examines the characteristic classification of dermatology. Methods: I examined the naming rule of dermatology in Oriental Medicine and then compared the disease names in Oriental and Western medicine and the characteristic classification of dermatology referred to the records. Results: The dermal diseases have been named according to their colors and morphologies, causes, progress of symptoms, recurrent sites, the character of distribution, recurrent seasons, ages, the character of patients' jobs and locations. Sometimes some have been named by referring to their main morphologies, sites, causes, colors and seasons synthetically. However it was found some names for dermal diseases, even though the same diseases, had been named differently according to for example: historical times, condition of locations and the quality of doctors whose process of naming developed and changed over time. The relationship between Oriental and Western medicine of each name for dermal diseases is basically divided into 5 types: same names - same diseases; same names but different diseases; same diseases but different names; one disease with multiple names; and one name with multiple diseases. Considering the methods of classification, these were generally achieved according to their places of origin. It is a method unique to Oriental medicine that we classified some dermal diseases into 疥, 癬, 瘡, 風, 丹, 疱, 疹, 癰, 痘, 疽 and so on and it is very easy to diagnose which part they belong to. This was classified by putting first the causes of diseases; for instance: viruses, bacteria, fungi. Sometimes, however there was a problem, connected to the classification of morphology. Conclusions: I suggest that we need to unify and refine dermatological terms in Oriental Medicine in order to establish a base for proper treatment and management of patients with dermal problems through correct diagnoses.

• 혜화의학회지
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• 제9권1호
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• pp.423-442
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• 2000

Objectives : The objectives of this study is to find out the classification methods of the cause of disease and the Acupuncture points on the cough(咳嗽, hae-soo) from the oriental medical literature. The results obtained as follows. Methods : We surveyed the oriental medical books from Hung-Ti-Nei-Ching $\ll$黃帝內經$\gg$ to recent books concerning the Acupuncture therapy for the cough(咳嗽, hae-soo). Results : 1. There are the classification methods of the cause of the cough(咳嗽, hae-soo) by affection by exopathogen and internal injury, by five zang-organs and six fu-organs, by time-belt, and by cold and heat. 2. The acupuncture points at P'yesu(肺兪, BL13), T'aeyon(太淵, LU9), Ch'okt'aek(尺澤, LU5), P'ungmun(風門, BL12), Yolgyol(列缺, LU7), Ch'ondol(天突, CV22), Taech'u(大椎, GV14), Hapkok(合谷, LI4), Kohwang(BL43), T'aegye(太谿, KI3), Chok-samni(足三里, ST36) are most frequently used on the acupuncture therapy for the cough(咳嗽, hae-soo). Conclusions : Among the classification methods of the cause of the cough(咳嗽, hae-soo), the classification methods by affection by exopathogen and internal injury may be most effective and the acupuncture points at Lung meridian(手太陰肺經, LU), Bladder mendian(足太陽膀胱經, BL) are most frequently used on the acupuncture therapy for the cough(咳嗽, hae-soo).