• 한국대기환경학회지
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• 제22권6호
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• pp.808-820
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• 2006

In regard to indoor air quality patterns, the government introduced various polices that were about managing and monitoring quality of indoor air as a major assignment, and also executed 'Indoor Air Quality Management Act' which was presented in the May, 2004. However, among the multi-usage facilities controlled by the Act, the school was not included yet. This study goal was to investigate PM 10 pollution patterns of the high school classrooms using a pattern recognition method based on cluster analysis and disjoint principal component analysis, and further to survey levels of inorganic elements in May, June, and September, 2004. A hierarchical clustering method was examined to obtain possible objects in pseudo homogeneous sample classes by transformation raw data and by applying various distance. Following the analysis, the disjoint principal component analysis was used to define homogeneous sample class after deleting outliers. Then three homogeneous Patterns were obtained as follows: the first class had been separated and objects in the class were considered to be sampled under semi-open condition. This class had high concentration of Ca, Fe, Mg, K, Al, and Na which are related with a soil and a chalk compounds. The second class was obtained in which objects were sampled while working air-conditioners and was identified low concentration of PM 10 and elements. Objects in the last class were assigned during rainy day. A chalk, soil element and various types of anthropogenic sources including combustions and industrial influenced the third class. This methodology was thought to be helpful enough to classify indoor air quality patterns and indoor environmental categories when controlling an indoor air quality.

• Asian Pacific Journal of Cancer Prevention
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• 제14권7호
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• pp.4455-4457
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• 2013

In the new millennium people are facing serious challenges in health care, especially with increasing non-communicable diseases (NCD). One of the most common NCDs is cancer which is the leading cause of death in developed countries and in developing countries is the second cause of death after heart diseases. Cancer registry can make possible the analysis, comparison and development of national and international cancer strategies and planning. Information technology has a vital role in quality improvement and facility of cancer registries. With the use of IT, in addition to gaining general benefits such as monitoring rates of cancer incidence and identifying planning priorities we can also gain specific advantages such as collecting information for a lifetime, creating tele medical records, possibility of access to information by patient, patient empowerment, and decreasing medical errors. In spite of the powerful role of IT, we confront various challenges such as general problems, like privacy of the patient, and specific problems, including possibility of violating patients rights through misrepresentation, omission of human relationships, and decrease in face to face communication between doctors and patients. By implementing appropriate strategies, such as identifying authentication levels, controlling approaches, coding data, and considering technical and content standards, we can optimize the use of IT. The aim of this paper is to emphasize the need for identifying positive and negative effects of modern IT on cancer registry in general and specific aspects as an approach to cancer care management.

• 농촌계획
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• 제21권4호
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• pp.77-84
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• 2015

The purpose of this study is to interpret Landscape of Naeap Village which still preserves the Confucian culture and the traditional clans among the ideally settled villages mentioned in Joong Hwan Lee's "Taengniji" and "Joseon's Fengsui" from the time of Japanese Imperial Rule, from CPTED principles. The following are the findings of this study: First, in terms of access control and zoning, Naeap Village was controlling access from the outside with the natural environment of Banbyeoncheon River and the hills surrounding the village, the artificial environment of human-scale walls around the head house and the dead ends, and the reformation by the Confucian ideologies. Naeap Village, in particular, is prominently configured by the hierarchy of zones; the Gaehosong pine trees, Gyeongpodae, and Naeapssu by the entrance to the village are considered the village itself and the landscapes and valleys are managed by the head house. Second, the Confucian culture across the village, the traditional vegetation method that does not hide the visibility, and the workers in the farms allow natural monitoring. The surrounding visibility is also applied to the spirit of mutual cooperation in the farming society, the culture of commoners at the common well and laundry site, and the culture of ruling class at the towers and pavilions. Third, Traditional villages show the efforts to preserve and maintain the villages with the village rules, the organizational decrees of the clan, and active response to national disasters.

• 국제학술발표논문집
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• The 8th International Conference on Construction Engineering and Project Management
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• pp.463-481
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• 2020

Cutter suction dredgers (CSDs) are widely used in various dredging constructions such as channel excavation, wharf construction, and reef construction. During a CSD construction, the main operation is to control the swing speed of cutter to keep the slurry concentration in a proper range. However, the slurry concentration cannot be monitored in real-time, i.e., there is a "time-lag effect" in the log of slurry concentration, making it difficult for operators to make the optimal decision on controlling. Concerning this issue, a solution scheme that using real-time monitored indicators to predict current slurry concentration is proposed in this research. The characteristics of the CSD monitoring data are first studied, and a set of preprocessing methods are presented. Then we put forward the concept of "index class" to select the important indices. Finally, an ensemble learning algorithm is set up to fit the relationship between the slurry concentration and the indices of the index classes. In the experiment, log data over seven days of a practical dredging construction is collected. For comparison, the Deep Neural Network (DNN), Long Short Time Memory (LSTM), Support Vector Machine (SVM), Random Forest (RF), Gradient Boosting Decision Tree (GBDT), and the Bayesian Ridge algorithm are tried. The results show that our method has the best performance with an R² of 0.886 and a mean square error (MSE) of 5.538. This research provides an effective way for real-time predicting the slurry concentration of CSDs and can help to improve the stationarity and production efficiency of dredging construction.

• 한국식품과학회지
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• 제19권3호
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• pp.200-205
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• 1987

마이크로 컴퓨터 계측 및 제어 시스템을 설계 제작하여 프로그램에 의해 온도 및 무게를 자동(自動) 측정(測定)하고 on-off작동(作動)에 의한 온도 제어와 D/A변환기(變換機)를 부착(附着)한 접속장치(接續裝置)로 풍량을 필요에 따라 자동 제어할 수 있었다. 건조 실험에 관여하는 변수들의 기록과 분석을 컴퓨터화 함으로써 수분감량(水分減量)을 일일이 칭칭량법(稱量法)으로 측정하 는번거로움과 시간을 절약할 수 있었다. 더욱이 계측(計側) 과정에서 건조계(乾燥系)를 전혀 흐트려뜨리지 않게 함으로써 건조가 완료될 때까지 건조환경을 그대로 유지할 수 있었고 자료의 채취시간도 프로그램을 통하여 임의(任意)로 설정하여 조절(調節)할 수 있어 건조실험을 완전 자동화할 수 있었다. 또한 건조 진행중에 software적으로 풍속을 변화시켜 건조를 행한 결과 건조 초기에는 풍속이 건조속도에 크게 영향을 미치나 건조 말기에는 영향이 적었다.

• The Korean Journal of Pain
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• 제9권1호
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• pp.63-68
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• 1996

Background; Epidural analgesia for controlling labor pain has recently gained world-wide popularity. However, many patients scheduled for continuous epidural analgesia voice concern over harmful effects to their fetus and other possible complications such as hemodynamic changes, back pain and neurologic sequelae etc. The aim of this study was to evaluate the hemodynamic changes with and without epidural block as a measure to determine the safety of epidural analgesia during labor and delivery. Methods: Twenty healthy subjects were divided equally into two groups(Group 1 without epidural block, and Group 2 with epidural block) and serial hemodynamic measurements were taken in all subjects with transcutaneous impedence cardiography. The epidural catheter was inserted at the level of $L_{3,4}$ in Group 2 and analgesia was maintained using 0.25% bupivacaine mixed with fentanyl. Results: Cardiac output increased slightly with cervical dilatation in both groups, but no significant differences were found between the two groups. Similarly, no significant differences were found in blood pressures between the two groups. Stroke volume and end-diastolic volume indices were slightly decreased in group 1 and slightly increased in group 2. However, there were no significant differences between the two groups. The ejection fraction was nearly constant and ranging 56~59%. Conclusion: We concluded epidural analgesia for labor and delivery is a safe technique for the parturients since results indicated no significant differences in hemodynamic changes, as compared to the control group.

• 대한의용생체공학회:의공학회지
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• 제40권6호
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• pp.250-259
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• 2019

Ophthalmic Laser System is widely used in Selective Laser Trabeculoplasty of Open Angle Glaucoma and Ocular Hypertension. Versatile ophthalmic laser system is a medical device with technology that checks the condition of the treatment area by irradiating a continuous laser pulse on the treatment area, and monitoring the microbubble reaction caused by the temperature increase of the melanosome through the ultrasonic signal and the optical signal sensor. It performs selective laser treatment without damaging the photoreceptor by controlling the wavelength of the laser when microbubbles are detected. This study aims to suggest a guideline for evaluating safety, performance and clinical effectiveness of Versatile Ophthalmic Laser System in accordance with the growing technology. International Standards, Regulations, and Clinical Trial Protocols were investigated and analyzed for this study. As a result of this study, the safety, performance and clinical effectiveness test guideline for Versatile Ophthalmic Laser System were proposed. This guideline will ensure the safety and efficacy of Medical device, and furthermore it is expected to be able to promote the development of technology development by supporting a clinical trial plan.

• International Journal of Computer Science & Network Security
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• 제21권9호
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• pp.19-30
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• 2021

Diabetes Mellitus (DM) is one of common chronic diseases leading to severe health complications that may cause death. The disease influences individuals, community, and the government due to the continuous monitoring, lifelong commitment, and the cost of treatment. The World Health Organization (WHO) considers Saudi Arabia as one of the top 10 countries in diabetes prevalence across the world. Since most of the medical services are provided by the government, the cost of the treatment in terms of hospitals and clinical visits and lab tests represents a real burden due to the large scale of the disease. The ability to predict the diabetic status of a patient without the laboratory tests by performing screening based on some personal features can lessen the health and economic burden caused by diabetes alone. The goal of this paper is to investigate the prediction of diabetic and prediabetic patients by considering factors other than the laboratory tests, as required by physicians in general. With the data obtained from local hospitals, medical records were processed to obtain a dataset that classified patients into three classes: diabetic, prediabetic, and non-diabetic. After applying three machine learning algorithms, we established good performance for accuracy, precision, and recall of the models on the dataset. Further analysis was performed on the data to identify important non-laboratory variables related to the patients for diabetes classification. The importance of five variables (gender, physical activity level, hypertension, BMI, and age) from the person's basic health data were investigated to find their contribution to the state of a patient being diabetic, prediabetic or normal. Our analysis presented great agreement with the risk factors of diabetes and prediabetes stated by the American Diabetes Association (ADA) and other health institutions worldwide. We conclude that by performing class-specific analysis of the disease, important factors specific to Saudi population can be identified, whose management can result in controlling the disease. We also provide some recommendations learnt from this research.

• 생물환경조절학회지
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• 제26권4호
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• pp.432-437
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• 2017

토마토 작물에 발생하는 B. tabaci에 대한 예찰을 위해 시설재배지뿐만 아니라 노지 재배에서도 노란색 점착카드트랩이 주로 사용되고 있다. 그러나, 예찰트랩의 색상과 굴절되는 빛의 강도 및 환경 변화에 따라 B. tabaci 유인력은 차이를 나타내고 있다. 따라서, 온실에 발생하는 B. tabaci 성충에 대한 light 트랩의 시설 재배지내의 이용 가능성을 평가하기 위해 white light (450-625nm) 및 yellow light (590nm) 트랩과 광원이 장착되지 않은 트랩을 이용하여 유인 활성을 비교하였다. 본 시험결과 광원별 B. tabaci 포획밀도는 yellow light 트랩(525 nm)에서 $168{\pm}7.6$(마리/트랩)로 가장 높은 유인활성을 나타내었으며, white light 트랩에서는 $106{\pm}4.6$(마리/트랩)으로 다소 낮은 개체수가 포획되었다. 그러나 대조구로 사용된 광원이 설치되지 않은 트랩의 경우 광원이 설치된 트랩보다 적은 $60{\pm}4.8$(마리/트랩)의 개체수가 포획되었다. 따라서, yellow light trap과 white light 트랩에서 높은 B. tabaci 성충의 유인력을 나타내었다. 이러한 결과를 바탕으로 yellow light 및 white light 트랩이 토마토 시설 재배지에서의 B. tabaci 성충에 대한 친환경적 해충 방제법의 일환으로 적용 될 수 있을 것으로 판단되었다.

• 중소기업융합학회논문지
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• 제2권1호
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• pp.69-75
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• 2012

지구온난화 및 기후 변화에 따른 재난, 이상기온, 질병 등 각종 사회 문제들이 대두됨에 따라, 에너지 절감 및 효율화를 위한 기술 개발이 증대되고 있다. 주택, 상업건물, 공공 건물 분야에서 소비되는 에너지는 우리나라 전체 에너지 사용의 22%를 차지함에 따라, 건물에너지 절감은 전체 에너지 절감에서 매우 중요한 요소이며, 이를 위한 방안이 추진되고 있다. 기존의 건물에서는 에너지 효율화를 위해 열 손실에 대한 대책 마련 및 에너지 저소비형 장비 사용 등의 수동적 방법을 사용하였으나, 최근에는 ICT 기술과 융합하여 에너지 사용의 측정, 모니터링, 통제를 통해 지속적으로 에너지 낭비 요소를 감지 및 제거하는 방식의 건물 에너지 효율화를 위한 능동적 기술이 대두되고 있다. 에너지 효율화를 이용하여 에너지 절감 장비를 사용하더라도, 낭비 상황을 제어하지 않으면 실질적이고 지속적인 에너지 절감 효과를 달성하기 어렵게 된다. 이 논문에서는 국내외 건물 에너지 효율화를 위한 기술 개발 현황을 소개하고, 능동적 에너지 절감을 위한 이슈를 고찰한다.