이동 컴퓨팅 환경에 기반을 둔 데이터베이스 시스템에서 서버의 고장 회복 기법

조정란(Cho Jeong Ran),황부현(Hwang Bu Hyun) 한국정보처리학회 1999 정보처리학회논문지 Vol.6 No.1

A mobile computing environment is one that support user's mobility through the wireless communication technology. Users access the database and get results what they want by running mobile transactions. To run the mobile transaction correctly and to maintain the consistency in database, we need a concurrency control method to schedule transactions, a caching method to manage the cache, and a recovery method to construct a fault tolerant system. A mobile computing system is based on the existing distributed system, but we can't use recovery methods of the existing distributed system directly because of the user's mobility and the features of wireless media. So this paper presents a recovery mechanism to construct a fault tolerant mobile computing systems. Especially, we develop and analyze a recovery algorithm for server failure among types of failure which can arise in mobile computing environments.

2형 당뇨병이 있는 50세 이상 남성 및 폐경후여성에서의 골밀도

조정란(Jeong-Ran Cho),정동진(Dong Jin Chung) 한국컴퓨터정보학회 2021 韓國컴퓨터情報學會論文誌 Vol.26 No.8

2형 당뇨병환자에서 골밀도는 다양하게 보고되고 있다. 최근의 여러 역학조사 연구에 의하면 2형 당뇨병 환자에서 골밀도 상태와 무관하게 골절 위험이 증가한다는 보고들이 많다. 본 연구에서는 전국민을 대상으로 한 표본조사로부터 얻은 질병관리본부의 국민건강영양조사 2008-2011년 자료를 이용하여 2형 당뇨병이 있는 50세 이상 남성 및 폐경후여성에서 골밀도를 확인하고자 하였다. 골다공증약물을 사용한 경우 및 당뇨병 이외에 골밀도에 영향을 미치는 질환 및 악성질환 등이 있는 대상은 제외하였다. 신체계측, 설문조사, 혈액검사 등과 함께 이중에너지흡수방사선을 이용하여 요추 및 대퇴골에서 측정한 골밀도 결과를 이용하였다. 연령, 체질량지수, 월 가구수입, 교육수준, 신체활동, 1일 칼슘섭취량, 혈중 비타민 D 농도를 포함하는 다중회귀분석을 시행한 결과 2형 당뇨병이 있는 50세 이상 남성 및 폐경후여성 모두에서 당뇨병이 없는 군과 비교하여 요추골밀도가 유의하게 높게 나타났다. Relationship between bone mineral density (BMD) and type 2 diabetes is still inconsistent. Recently, many epidemiologic data show that fracture risk is increased in type 2 diabetic patients regardless of BMD status. In this study, we used nation-wide data from 2008 to 2011 Korea National Health and Nutrition Examination Survey (KNHANES) to analyze the BMD status in patients with type 2 diabetes compared to non-diabetics. We included subjects aged 50 years or older in men (N=2,959, 2,430 without diabetes, 529 with type 2 diabetes) and postmenopausal women (N=2,902, 2,479 without diabetes, 423 with type 2 diabetes). Subjects with history of medication for osteoporosis or with illness or malignancy affecting bone metabolism were excluded. Data of anthropometric measurements and demographic characteristics were collected by trained examiner. Serum was separated from peripheral venous blood samples obtained after 8 hours of fasting. BMD was measured at lumbar spine and femur using dual-energy X-ray absorptiometry (DXA). There was a significant positive association between lumbar spine BMD and type 2 diabetes after adjusting age, gender, body mass index, monthly house income, education level, physical activity, daily calcium intake and vitamin D concentration by multiple regression analysis in all subjects. In the subgroup analysis by gender, this association was maintained both in male and female after adjusting those confounding factors. However, femur BMD was not different between type 2 diabetic and non-diabetic subjects. In conclusion, lumbar spine BMD was significantly higher in type 2 diabetic patients aged 50 years or more in men and postmenopausal women compared to non-diabetic subjects.

수화번역시스템을 위한 인공신경망의 응용

조정란(Jeong-Ran Cho),김형훈(Hyung-Hoon Kim) 한국컴퓨터정보학회 2019 韓國컴퓨터情報學會論文誌 Vol.24 No.2

In the case of a hearing impaired person using sign language, there are many difficulties in communicating with a normal person who does not understand sign language. The sign language translation system is a system that enables communication between the hearing impaired person using sign language and the normal person who does not understand sign language in this situation. Previous studies on sign language translation systems for communication between normal people and hearing impaired people using sign language are classified into two types using video image system and shape input device. However, the existing sign language translation system does not solve such difficulties due to some problems. Existing sign language translation systems have some problems that they do not recognize various sign language expressions of sign language users and require special devices. Therefore, in this paper, a sign language translation system using an artificial neural network is devised to overcome the problems of the existing system.

50세 이상 남성 및 폐경후여성에서 체성분과 골밀도와의 관계

조정란(Jeong-Ran Cho) 한국컴퓨터정보학회 2021 韓國컴퓨터情報學會論文誌 Vol.26 No.8

지방제외체질량(lean mass) 및 지방량(fat mass)과 같은 체성분이 골밀도에 미치는 영향은 매우 복잡하고 다양하게 나타나는 것으로 알려져 있다. 본 연구에서는 전국민을 대상으로 한 표본조사로부터 얻은 질병관리본부의 국민건강영양조사 2008-2011년 자료를 이용하여 50세 이상 남성(N=2,139) 및 폐경후여성(N=2,193)에서 체성분과 골밀도와의 관련성에 대해 조사하고자 하였다. 골다공증약물을 사용한 경우 및 골밀도에 영향을 미치는 질환 및 악성질환 등이 있는 대상은 제외하였다. 신체계측, 설문조사, 혈액검사 등과 함께 이중에너지흡수방사선을 이용하여 요추 및 대퇴골에서 골밀도를 측정하였고, 총지방제외체질량(TLM; total lean mass), 총지방량(TFM; total fat mass), 몸통지방량(TrFM; truncal fat mass) 등을 측정하였다. 체성분 지표들과 요추 및 대퇴골 골밀도는 유의한 양의 상관관계를 보였다. 연령, 체질량지수, 월 가구수입, 교육수준, 신체활동, 1일 칼슘섭취량, 혈중 비타민 D 농도를 포함하는 다중회귀분석을 시행한 결과 남녀 모두에서 TLM이 증가할수록 요추 및 대퇴골 골밀도가 유의하게 증가하였다. TLM의 가장 낮은 사분위수에 해당하는 군에서 요추 및 대퇴골 골밀도는 남녀 모두에서 다른 사분위수에 해당하는 군에 비해 유의하게 낮았다. TrFM은 위의 교란요인들을 보정한 이후 남성에서는 대퇴골전체 골밀도와 여성에서는 대퇴골경부 골밀도와 음의 상관관계를 보였다. 결론적으로 TLM은 50세 이상 남성 및 폐경후여성에서 골밀도를 유지하는데 매우 중요한 인자임을 확인할 수 있었다. The effect of body composition such as lean mass and fat mass on bone mineral density (BMD) is complex and still controversial. In this study, we investigated the relationship between body composition and bone mineral density using nation-wide data from 2008 to 2011 Korea National Health and Nutrition Examination Survey (KNHANES) in 2,139 men and 2,193 postmenopausal women aged 50 years or older. Subjects with history of medication for osteoporosis or with diseases or malignancy affecting bone metabolism were excluded. Data of anthropometric measurements and demographic characteristics were collected by trained examiner. Fasting blood sample was obtained for blood chemistry analysis. BMD of the lumbar spine, total femur, and femoral neck, and body composition such as total lean mass (TLM), total fat mass (TFM), truncal fat mass (TrFM) were measured using dual-energy X-ray absorptiometry (DXA). There were significant positive correlations between body composition indices such as lean mass and fat mass with BMD. In multiple regression analysis, TLM was positively associated with BMD after adjusting age, body mass index, monthly house income, education level, physical activity, daily calcium intake and vitamin D concentration in both men and postmenopausal women. BMD at lumbar spine and femur in lowest quartile of TLM was significantly lower than other quartiles after adjusting those confounding factors in both gender. TrFM was negatively associated with total femur BMD in male and femur neck BMD in postmenopausal women after adjusting confounding factors. In conclusion, TLM is very important factor in maintaining BMD in subjects aged 50 years or older in men and postmenopausal women.

배경기계학습을 사용한 침입탐지시스템

김형훈(Hyung-Hoon Kim),조정란(Jeong-Ran Cho) 한국컴퓨터정보학회 2019 韓國컴퓨터情報學會論文誌 Vol.24 No.5

The existing subtract image based intrusion detection system for CCTV digital images has a problem that it can not distinguish intruders from moving backgrounds that exist in the natural environment. In this paper, we tried to solve the problems of existing system by designing real - time intrusion detection system for CCTV digital image by combining subtract image based intrusion detection method and background learning artificial neural network technology. Our proposed system consists of three steps: subtract image based intrusion detection, background artificial neural network learning stage, and background artificial neural network evaluation stage. The final intrusion detection result is a combination of result of the subtract image based intrusion detection and the final intrusion detection result of the background artificial neural network. The step of subtract image based intrusion detection is a step of determining the occurrence of intrusion by obtaining a difference image between the background cumulative average image and the current frame image. In the background artificial neural network learning, the background is learned in a situation in which no intrusion occurs, and it is learned by dividing into a detection window unit set by the user. In the background artificial neural network evaluation, the learned background artificial neural network is used to produce background recognition or intrusion detection in the detection window unit. The proposed background learning intrusion detection system is able to detect intrusion more precisely than existing subtract image based intrusion detection system and adaptively execute machine learning on the background so that it can be operated as highly practical intrusion detection system.

Development of big data based Skin Care Information System SCIS for skin condition diagnosis and management

Hyung-Hoon Kim(김형훈),Jeong-Ran Cho(조정란) 한국컴퓨터정보학회 2022 韓國컴퓨터情報學會論文誌 Vol.27 No.3

피부상태의 진단과 관리는 뷰티산업종사자와 화장품산업종사자에게 그 역할을 수행함에 있어서 매우 기초적이며 중요한 기능이다. 정확한 피부상태 진단과 관리를 위해서는 고객의 피부상태와 요구사항을 잘 파악하는 것이 필요하다. 본 논문에서는 피부상태 진단 및 관리를 위해 소셜미디어의 빅데이터를 사용하여 피부상태 진단 및 관리를 지원하는 빅데이터기반 피부관리정보시스템 SCIS를 개발하였다. 개발된 시스템을 사용하여 텍스트 정보 중심의 피부상태 진단과 관리를 위한 핵심 정보를 분석하고 추출할 수 있다. 본 논문에서 개발된 피부관리정보시스템 SCIS는 빅데이터 수집단계, 텍스트전처리단계, 이미지전처리단계, 텍스트단어분석단계로 구성되어 있다. SCIS는 피부진단 및 관리에 필요한 빅데이터를 수집하고, 텍스트 정보를 대상으로 핵심단어의 단순빈도분석, 상대빈도분석, 동시출현분석, 상관성분석을 통해 핵심단어 및 주제를 추출하였다. 또한 추출된 핵심단어 및 정보를 분석하고 산포도, NetworkX, t-SNE 및 클러스터링 등의 다양한 시각화 처리를 함으로써 피부상태 진단 및 관리에 있어 이를 효율적으로 사용할 수 있도록 하였다. Diagnosis and management of skin condition is a very basic and important function in performing its role for workers in the beauty industry and cosmetics industry. For accurate skin condition diagnosis and management, it is necessary to understand the skin condition and needs of customers. In this paper, we developed SCIS, a big data-based skin care information system that supports skin condition diagnosis and management using social media big data for skin condition diagnosis and management. By using the developed system, it is possible to analyze and extract core information for skin condition diagnosis and management based on text information. The skin care information system SCIS developed in this paper consists of big data collection stage, text preprocessing stage, image preprocessing stage, and text word analysis stage. SCIS collected big data necessary for skin diagnosis and management, and extracted key words and topics from text information through simple frequency analysis, relative frequency analysis, co-occurrence analysis, and correlation analysis of key words. In addition, by analyzing the extracted key words and information and performing various visualization processes such as scatter plot, NetworkX, t-SNE, and clustering, it can be used efficiently in diagnosing and managing skin conditions.

Implementation of an improved real-time object tracking algorithm using brightness feature information and color information of object

Hyung-Hoon Kim(김형훈),Jeong-Ran Cho(조정란) 한국컴퓨터정보학회 2017 韓國컴퓨터情報學會論文誌 Vol.22 No.5

As technology related to digital imaging equipment is developed and generalized, digital imaging system is used for various purposes in fields of society. The object tracking technology from digital image data in real time is one of the core technologies required in various fields such as security system and robot system. Among the existing object tracking technologies, cam shift technology is a technique of tracking an object using color information of an object. Recently, digital image data using infrared camera functions are widely used due to various demands of digital image equipment. However, the existing cam shift method can not track objects in image data without color information. Our proposed tracking algorithm tracks the object by analyzing the color if valid color information exists in the digital image data, otherwise it generates the lightness feature information and tracks the object through it. The brightness feature information is generated from the ratio information of the width and the height of the area divided by the brightness. Experimental results shows that our tracking algorithm can track objects in real time not only in general image data including color information but also in image data captured by an infrared camera.

인공신경망을 사용한 수화영상인식시스템

김형훈(Hyung-Hoon Kim),조정란(Jeong-Ran Cho) 한국컴퓨터정보학회 2019 韓國컴퓨터情報學會論文誌 Vol.24 No.2

Hearing impaired people are living in a voice culture area, but due to the difficulty of communicating with normal people using sign language, many people experience discomfort in daily life and social life and various disadvantages unlike their desires. Therefore, in this paper, we study a sign language translation system for communication between a normal person and a hearing impaired person using sign language and implement a prototype system for this. Previous studies on sign language translation systems for communication between normal people and hearing impaired people using sign language are classified into two types using video image system and shape input device. However, existing sign language translation systems have some problems that they do not recognize various sign language expressions of sign language users and require special devices. In this paper, we use machine learning method of artificial neural network to recognize various sign language expressions of sign language users. By using generalized smart phone and various video equipment for sign language image recognition, we intend to improve the usability of sign language translation system.

역할기반 응급의료정보보안시스템 REMISS의 설계

김형훈(Hyung-Hoon Kim),조정란(Jeong-Ran Cho) 한국컴퓨터정보학회 2014 韓國컴퓨터情報學會論文誌 Vol.19 No.10

본 논문에서는 기존의 응급의료정보시스템에 정보보안 개념을 도입한 역할기반 응급의료정보보안시스템 REMISS를 설계하였다. 또한 HL7 기반의 응급의료정보 및 보안정보를 위한 메시지 구조와 프로토콜을 제시하였다. REMISS의 보안 절차는 사용자인증단계와 역할/권한배정단계로 이루어져 있다. REMISS는 보안정보를 사용하여 응급의료정보시스템의 각 사용자에게 그 역할에 맞는 권한을 부여하고 허가된 권한 내에서 응급의료정보를 접근하도록 할 수 있으므로 적절한 보안 서비스를 제공할 수 있다. 그리고 응급상황 발생시에 동적으로 보안정보를 교환하여 권한을 부여함으로써 각 사용자의 역할 변경에 대응할 수 있는 이점이 있다. In this paper, we designed a role-based emergency medical information security system REMISS added the security concept to the existing emergency medical information system. Also we suggested a REMISS protocol based on HL7 for using the emergency medical information and the security information. The procedure of security consists of user authentication phase and role/permission assign phase in the REMISS. The REMISS can supply proper security service since the REMISS assign proper permissions to each users of emergency medical information system and allow the user to access the permitted emergency medical information by using security information of the REMISS. There are some advantages that REMISS can adapt to the changing of the role of each user by dynamic exchanging the security information and assigning permissions to each user.

경험적 지식을 활용한 효과적 응급의료정보시스템의 설계

김형훈(Kim Hyung Hoon),조정란(Cho Jeong Ran) 한국산업정보학회 2013 한국산업정보학회논문지 Vol.18 No.3

현대 의학기술의 발달로 병의원의 치료 및 건강관리기술은 사람들의 고귀한 생명을 연장하며 지키는 역할을 충실히 해내고 있다. 응급상황이 발생되어 병원전단계에서 적절한 응급처치와 함께 적시에 필요한 병의원으로 이송되지 못하거나 응급처치에 필요한 정보가 미비하여 응급환자에 대한 적절한 응급처치가 이루어지지 못하는 경우 심각한 손상을 입거나 생명을 잃는 문제가 발생할 수 있다. 본 논문에서는 다양한 여러 응급상황에 대한 경험적 지식을 활용한 효과적 응급의료정보시스템을 통해 응급구조사가 응급상황이 발생되었을 때 실시간으로 발생된 상황에 가장 적합한 응급처치를 수행할 수 있고 환자에 대한 병이력정보를 지식데이터베이스에 체계적으로 저장, 관리, 운영함으로써 해당 환자의 생명 안전과 건강 증진에 더욱더 적합한 응급처치가 이루어지도록 하였다. With the development of the morden medical science technology, the life of the men is keeping by medical technology. But if a proper treatment could not be provided to the patient in pre-hospital phase and the patient could not be transferred to the necessary hospital timely, it can not prevent the serious damage to the patient. In this paper, when an emergency was generated, the emergency medical technician can give the most suitable first aid to the patient by our proposed efficient emergency medical information system using heuristic knowledge.