암 예방과 조기발견 교육이 중년기 여성의 암에 대한 지식, 태도 및 예방적 건강행위에 미치는 영향

박선영,박청자,박정숙 성인간호학회 2001 성인간호학회지 Vol.13 No.3

The Purpose of this study was to identify the effects of cancer prevention and early detection education on cancer-related knowledge, attitudes. and preventive health behavior of middle-aged women in Korea. The research design was a nonequivalent control group pretest-posttest design. The subjects of this study were 38 middle-aged women from a church in Taegu. An Experimental group of 19 and a control group of 19 women were studied. The study was conducted from September 21, 2000 to October 27, 2000. The cancer prevention and early detection education had been provided to the experimental group for 2 weeks. The contents of the education program for the third most prevalent cancer of Korean women were : 'the risk factors of cancer', 'the early symptoms of cancer', 'the diagnostic test for cancer detection', and 'the cancer prevention methods'. The instruments used for this study were modified, cancer-related knowledge, and attitude, preventive health behavior tools of Suh et al. (1998). Data were analyzed using descriptive statistics, χ2-test, t-test, ANCOVA with SPSS WIN 9.0/PC. The results were as follows : 1) Hypothesis 1 that the women who get cancer-prevention and early detection education will have higher scores of the cancer-related knowledge than the women do not get cancer prevention and early detection education was accepted(F=4.732, p= .037) 2) Hypothesis 2 that the women who get cancer prevention and early detection education will have higher scores of cancer-related attitudes than the women do not get cancer prevention and early detection education was rejected(F= .118. p= .733) 3) Hypothesis 3 that the women who get cancer prevention and early detection education will have higher scores of cancer-related preventive health behavior than the women who do not get cancer prevention and early detection education was rejected(F=2.250, P= .143). On the basis of the above findings, the following recommendations are suggested : 1) It is necessary to identify the variables affected on cancer-related knowledge, attitudes and preventive health behavior. 2) It is necessary to develop a well organized cancer prevention and early detection education program to change cancer -related attitude and preventive health behavior.

Qualitative Assessment of Breast Cancer Early Detection Services Provided through Well Woman Clinics in the District of Gampaha in Sri Lanka

Vithana, Palatiyana Vithanage Sajeewanie Chiranthika,Hemachandra, Nilmini Nilangani,Ariyaratne, Yasantha,Jayawardana, Pushpa Lalani Asian Pacific Journal of Cancer Prevention 2013 Asian Pacific journal of cancer prevention Vol.14 No.12

Background: Breast cancer is the most common cancer diagnosed among women in Sri Lanka. Early detection can lead to reduction in morbidity and mortality. The objective here was to identify perceptions of public health midwives (PHMs) on the importance of early detection of breast cancer and deficiencies of and suggestions on improving existing breast cancer early detection services provided through Well Woman Clinics. Materials and Methods: A qualitative study using four focus group discussions (FGDs) were conducted among 38 PHMs in the Gampaha district in Sri Lanka and the meetings were audio-recorded, transcribed and analyzed using constant comparison and identifying themes and categories. Results: All the PHMs had a firm realization on the need of breast cancer early detection. The four FGDs among PHMs revealed non-availability of guidelines, inadequacy of training, lack of skills and material to provide health education, inability to provide privacy during clinical examination, shortage of stationery, lack of community awareness and motivation. The suggestions for the improvements of the programme identified in FGDs were capacity building of PHMs, making availability of guidelines, rescheduling clinics, improving the supervision, strengthening the monitoring, improving coordination between clinical and preventive sectors, and improving community awareness. Conclusions: Results of the FGDs can provide useful information on components to be improved in breast cancer early detection services. Study recommendations were training programmes at basic and post basic levels on a regular basis and supervision for the sustainance of the breast cancer early detection program.

DSP Embedded Early Fire Detection Method Using IR Thermal Video

( Won-ho Kim ) 한국인터넷정보학회 2014 KSII Transactions on Internet and Information Syst Vol.8 No.10

Here we present a simple flame detection method for an infrared (IR) thermal camera based real-time fire surveillance digital signal processor (DSP) system. Infrared thermal cameras are especially advantageous for unattended fire surveillance. All-weather monitoring is possible, regardless of illumination and climate conditions, and the data quantity to be processed is one-third that of color videos. Conventional IR camera-based fire detection methods used mainly pixel-based temporal correlation functions. In the temporal correlation function-based methods, temporal changes in pixel intensity generated by the irregular motion and spreading of the flame pixels are measured using correlation functions. The correlation values of non-flame regions are uniform, but the flame regions have irregular temporal correlation values. To satisfy the requirement of early detection, all fire detection techniques should be practically applied within a very short period of time. The conventional pixel-based correlation function is computationally intensive. In this paper, we propose an IR camera-based simple flame detection algorithm optimized with a compact embedded DSP system to achieve early detection. To reduce the computational load, block-based calculations are used to select the candidate flame region and measure the temporal motion of flames. These functions are used together to obtain the early flame detection algorithm. The proposed simple algorithm was tested to verify the required function and performance in real-time using IR test videos and a real-time DSP system. The findings indicated that the system detected the flames within 5 to 20 seconds, and had a correct flame detection ratio of 100% with an acceptable false detection ratio in video sequence level.

Detection of faults in gearboxes using acoustic emission signal

구동식,김재구,안영수,최병근 대한기계학회 2011 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.25 No.5

Vibration analysis is widely used in machinery diagnosis, and wavelet transform and envelope analysis have also been implemented in many applications to monitor machinery condition. Envelope analysis is well known as a useful tool for the detection of rolling element bearing faults, and wavelet transform is used in research to detect faults in gearboxes. These are applied for the development of the condition monitoring system for early detection of the faults generated in several key components of machinery. Early detection of the faults is a very important factor for condition monitoring and a basic component to extend CBM (Condition-Based Maintenance) to PM (Prediction Maintenance). The AE (acoustic emission) sensor has a specific characteristic on the high sensitivity of the signal, high frequency and low energy. Recently, AE technique has been applied in some studies for the early detection of machine fault. In this paper, a signal processing method for AE signal by envelope analysis with discrete wavelet transforms is proposed. Through the 15 days test using AE sensor, misalignment and bearing faults were observed and early fault stage was detected. Also, in order to find the advantage of the proposed signal processing method, the result was compared to that of the traditional envelope analysis and the accelerometer signal.

Breast Cancer Detection in a Screening Population: Comparison of Digital Mammography, Computer-Aided Detection Applied to Digital Mammography and Breast Ultrasound

조규란,서보경,우옥희,송성은,최정순,황신영,박은경,박아영,신혜선,정환훈 한국유방암학회 2016 Journal of breast cancer Vol.19 No.3

Purpose: We aimed to compare the detection of breast cancer using full-field digital mammography (FFDM), FFDM with computer-aided detection (FFDM+CAD), ultrasound (US), and FFDM+CAD plus US (FFDM+CAD+US), and to investigate the factors affecting cancer detection. Methods: In this retrospective study conducted from 2008 to 2012, 48,251 women underwent FFDM and US for cancer screening. One hundred seventy-one breast cancers were detected: 115 invasive cancers and 56 carcinomas in situ. Two radiologists evaluated the imaging findings of FFDM, FFDM+CAD, and US, based on the Breast Imaging Reporting and Data System lexicon of the American College of Radiology by consensus. We reviewed the clinical and the pathological data to investigate factors affecting cancer detection. We statistically used generalized estimation equations with a logit link to compare the cancer detectability of different imaging modalities. To compare the various factors affecting detection versus nondetection, we used Wilcoxon rank sum, chi-square, or Fisher exact test. Results: The detectability of breast cancer by US (96.5%) or FFDM+CAD+US (100%) was superior to that of FFDM (87.1%) (p=0.019 or p<0.001, respectively) or FFDM+ CAD (88.3%) (p=0.050 or p<0.001, respectively). However, cancer detectability was not significantly different between FFDM versus FFDM+CAD (p=1.000) and US alone versus FFDM+CAD+US (p=0.126). The tumor size influenced cancer detectability by all imaging modalities (p<0.050). In FFDM and FFDM+CAD, the nondetecting group consisted of younger patients and patients with a denser breast composition (p<0.050). In breast US, carcinoma in situ was more frequent in the nondetecting group (p=0.014). Conclusion: For breast cancer screening, breast US alone is satisfactory for all age groups, although FFDM+ CAD+US is the perfect screening method. Patient age, breast composition, and pathological tumor size and type may influence cancer detection during screening.

랙크식 물류창고 조기 화재감지를 위한 최적 화재감지기 설치방법에 관한 실험연구

최기옥 ( Ki Ok Choi ),김동석 ( Dong Suck Kim ),홍성호 ( Sung Ho Hong ) 한국안전학회 2017 한국안전학회지 Vol.32 No.2

This paper is an experimental study to find an optimal detection method for detecting fire early in a rack-type warehouse stored with goods. In this study, we constructed rack-type structure with the fourth floor of 13.5 m high and conducted fire experiments which were to measure flow of heat/smoke in rack-type structure and response time of fire detectors. The detectors used at experiments were fixed temperature type detectors, rate of rise detectors, photoelectric smoke detectors, air sampling smoke detectors and flame detectors. The used ignition sources are n-heptane fire for response of heat detection and cotton fire for response of smoke detection. The fixed temperature type detectors, rate of rise detectors and photoelectric detectors were installed to every rack level respectively. The results show that the rate of rise detector should be installed every 2 levels and photoelectric smoke detector should be installed every 4 levels for the early stage fire detection. Air sampling smoke detectors can detect fire early in response to control of sensitivity, but there is a problem in false alarm. The fixed temperature detector is not suitable for early stage fire detection in warehouse and flame detector not worked if flame is not visible, so it need to install combination with other detector.

A Scalable Distributed Worm Detection and Prevention Model using Lightweight Agent

박연희(Park Yeonhee),김종욱(Kim Jonguk),이성욱(Lee Seong-uck),김철민(Kim Cholmin),우즈만(Usman Tariq),홍만표(Hong Manpyo) 한국정보과학회 2008 정보과학회 컴퓨팅의 실제 논문지 Vol.14 No.5

웜은 사람의 개입 없이 취약점이 존재하는 네트워크 서비스에 대한 공격을 시행하고 사용자가 원치 않는 패킷을 복사 및 전파하는 악성코드이다. 기존의 웜 탐지 기법은 주로 시그너쳐 기반의 방식이 주를 이루었으나 조기탐지의 한계로 인해 최근에는 웜 전파의 행동 특성을 감지하는 방식이 각광 받고 있다. 본 논문에서는 웜 행동 주기와 감염 체인으로 대표되는 웜의 행위적 특성을 탐지하고 대응할 수 있는 분산 웜 탐지 및 방지 방법을 제안하고, 제안된 탐지 및 방지 모델 적용 시 웜의 감염 속도가 감소되는 현상을 시뮬레이션을 통해 증명한다. 제안하는 웜 탐지모델은 규모가 큰 시그너쳐 데이타베이스가 필요하지 않을 뿐더러 컴퓨팅 파워가 비교적 적게 소요되므로, 개인용 컴퓨터 뿐 아니라 유비쿼터스와 모바일 환경과 같이 개별 기기가 낮은 컴퓨팅 파워를 가지는 상황에도 적합하다. A worm is a malware that propagates quickly from host to host without any human intervention. Need of early worm detection has changed research paradigm from signature based worm detection to the behavioral based detection. To increase effectiveness of proposed solution, in this paper we present mechanism of detection and prevention of worm in distributed fashion. Furthermore, to minimize the worm destruction; upon worm detection we propagate the possible attack alert to neighboring nodes in secure and organized manner. Considering worm behavior, our proposed mechanism detects worm cycles and infection chains to detect the sudden change in network performance. And our model neither needs to maintain a huge database of signatures nor needs to have too much computing power, that is why it is very light and simple. So, our proposed scheme is suitable for the ubiquitous environment. Simulation results illustrate better detection and prevention which leads to the reduction of infection rate.

자폐스펙트럼장애아동을 위한 서비스 이용 이력 분석

임은정 ( Lim Eun-chung ) 초록우산 어린이재단(구 한국복지재단) 2017 어린이재단 연구논문 모음집 Vol.2017 No.-

이 연구는 자폐스펙트럼장애를 가진 아동의 부모가 자녀를 위해 이용한 서비스 이용 이력 전반을 분석하였다. 부모가 처음 인지한 증상의 유형과 인지 시기, 처음으로 접촉한 기관 등 서비스 진입 과정을 분석하고,배열 분석 방법을 적용하여 이력 전체를 단위로 대상을 유형화한 후 유형의 특징을 살펴보았다. 이를 통해 조기 발견과 중재를 활성화할 수 있는 기초 자료를 계공하고자 하였다. 연구 결과는 다음과 같다. 첫째, 24개월 이전, 48개월,취학 무렵이 자녀의 증상을 인지하는 결정적 시기였으며, 부모가 주로 발견하는 증상은 ‘사회정서적 상호성’과 ‘발달 수준에 맞는 관계 발전 및 유 지의 어려움’이었고, 인지 시점이 어릴수록 전자의 비율이 높다가 점차 후자의 비율이 높아졌다. 둘째, 자녀의 발달에 대해 걱정하면서도 서비스를 이용하지 않은 사례가 삼분의 일 정도 되었고,우리나라 나이 5살 이전에 증상을 인지하면 비교적 이른 시기에 기관을 찾아갔으나 6살 이후 발견하면 서비스를 이용하지 않은 비율이 높았다. 병의원이 주요 진입문이 되었고 사설센터 중에서는 언어치료센터 이용 비율이 높았다. 셋째, 증상 인지와 첫 서비스 이용 행동을 토대로 분류한 유형에 따르면 처음 이용하는 기관에 따라 증상의 심각도와 인지 시기, 인지 후 서비스 이용까지의 시간차에 차이가 나타났다. 넷째, 서비스 이용 요소별 이행 빈도를 분석한 결과, 전형적인 서비스 이용 절차 외에도 다양한 경로가 있음을 확인할 수 있었다. 주목할 부분은 서비스 이용을 중단했다가 재개하는 비율이었다. 다섯째, 서비스 이용 이력을 토대로 군집 분석을 실시하여 4개의 유형으로 분류하였고, 각 각을 유형 1, 2, 3, 4로 구분하였다. 유형 1은 자폐 장애를 가진 아동을 위한 전형적인 서비스 이용 절차,유형 2는 이용 중 한 번 이상의 중단 기간이 있는 경우,유형 3은 증상을 인지했지만 서비스를 이용하지 않은 경우, 유형 4는 증상을 인지한 적이 없는 경우였다. 각각의 유형이 서비스 이용을 지연하는 이유는 다를 것으로 보이는데, 서비스 이용 이력의 특성에 따라 유형을 분류하여 개별 욕구가 반영된 보편적인 정책 마련에 기초 자료를 마련한 것이 이 연구의 의의라 하겠다. The purpose of this study is to provide basic data to facilitate early detection and intervention by analyzing service utilization history for children with autism spectrum disorders. The age of detection, recognized symptoms and the first contacted institutions were analyzed. And applying sequence analysis and cluster analysis, the subjects were classified based on whole sequence of service utilization. The results of this study are as follows. First, 24 months, 48 months, and the time of entering school were the decisive time to recognize the symptoms of the children. The main symptoms that parents found were 'deficits in social-emotional reciprocity' and 'deficits in developing and maintaining relationships, appropriate to developmental level'. The younger the age, the higher the proportion of the former, but gradually increased the latter. Second, About one third of the children did not use any service despite of detection. The detection age of 5 and 6 were the line dividing early intervention. The rate of first use of general hospital was the most high, and among private centers speech therapy centers was. Third, according to the types classified according to the detection and the first service use behavior, there was a difference in symptom severity, age of detection, and gap between detection and first intervention. Fourth, analyzing the frequency transition matrix according to service utilization elements, it can be confirmed that there are various routes besides the typical service utilization procedure. The notable part was the rate of stopping and resuming service use. Fifth, cluster analysis was performed based on the service utilization history, and classified into 4 types. Type 1 refers to the typical use of services for children with autistic disorder, Type 2 refers to the use with pauses, Type 3 refers to detection but no use, Type 4 refers to no detection. The reasons for delaying the use of service seem to be different according to types, and this study's significance is to classify the type according to the characteristics of the service use history and to provide basic data for the policy preparation reflecting individual needs.

Detecting Early Pancreatic Cancer: Current Problems and Future Prospects

Hiroyuki Matsubayashi,Hirotoshi Ishiwatari,Keiko Sasaki,Katsuhiko Uesaka,Hiroyuki Ono 거트앤리버 소화기연관학회협의회 2020 Gut and Liver Vol.14 No.1

The number of patients with pancreatic cancer (PC) is currently increasing in both Korea and Japan. The 5-year survival rate of patients with PC 13.0%; however, resection with minimal invasion (tumor size: ≤10 mm) increases the 5-year survival rate to 80%. For this reason, early detection is essential, but most patients with early-stage PC are asymptomatic. Early detection of PC has been reported to require screening of high-risk individuals (HRIs), such as those with a family history of PC, inherited cancer syndromes, intraductal papillary mucinous neoplasm, or chronic pancreatitis. Studies on screening of these HRIs have confirmed a significantly better prognosis among patients with PC who were screened than for patients with PC who were not screened. However, to date in Japan, most patients with early-stage PC diagnosed in routine clinics were not diagnosed during annual health checks or by surveillance; rather, PC was detected in these patients by incidental findings during examinations for other diseases. We need to increase the precision of the PC screening and diagnostic processes by introducing new technologies, and we need to pay greater attention to incidental clinical findings.

항공초분광영상을 이용 배추 노균병 조기진단을 위한 딥러닝 모델 개발

루카스위쿠쿠스위디얀토 ( Lukas Wiku Kuswidiyanto ),노현호 ( Hyun Ho Noh ),정희영 ( Hee-young Jung ),한웅철 ( Xiongzhe Han ) 한국농업기계학회 2022 한국농업기계학회 학술발표논문집 Vol.27 No.2

As one of the primary agricultural commodities in Korea, Chinese cabbage is vulnerable to disease infections, particularly downy mildew. Downy mildew infections are identified by irregular yellow to pale brown spots on the upper leaf surface, which damage the leaf cells and thus lead to leaf death. An early diagnosis system to detect the disease would be an essential asset to prevent its occurrence and improve plant protection. As one of the non-destructive evaluation methods, hyperspectral imaging is capable of capturing a wide range of spectral wavelengths and sensitive enough to detect disease presence in a plant. A UAV and hyperspectral imaging system offer accurate field-scale downy mildew detection. The preliminary experiment has shown spectral differences between diseased and healthy cabbage plants. Based on hyperspectral image data, the detection system employs a convolutional neural network (CNN) that extracts spectral and spatial features to detect the disease and its location. A 3D CNN architecture will be used in this study to exploit spectral variance further and accurately detect the disease.