• Journal of Korean Society for Atmospheric Environment
• /
• v.22 no.6
• /
• pp.808-820
• /
• 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
• /
• v.14 no.7
• /
• pp.4455-4457
• /
• 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.

• Journal of Korean Society of Rural Planning
• /
• v.21 no.4
• /
• pp.77-84
• /
• 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.

• International conference on construction engineering and project management
• /
• 2020.12a
• /
• pp.463-481
• /
• 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.

• Korean Journal of Food Science and Technology
• /
• v.19 no.3
• /
• pp.200-205
• /
• 1987

A microcomputer-based on-line monitoring and controlling system was built and applied to the dehycration operation. Drying conditions-drying temperatures and air velocities-were successfully controlled by the control deveices incorporated on/off realy and thyristor, and with the high language program. Drying variables-temperature in drier and weight loss of radish slice were accurately measured and acquisited. The computer-based drying system effectively saved the man power required to measure and record data during the drying period and also made possible to conduct the process undisturbed for long period. The drying rate curves of radish at various drying conditions were obtained from automatic data analyzing program. And also the computer programmed control made possible to investigate the effect of air velocity change during the drying period. The dynamic change of air velocity of from one to another level could be performed and affected markedly the drying rate at first stages of drying, but no significant effect were found in falling rate period.

• The Korean Journal of Pain
• /
• v.9 no.1
• /
• pp.63-68
• /
• 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.

• Journal of Biomedical Engineering Research
• /
• v.40 no.6
• /
• pp.250-259
• /
• 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
• /
• v.21 no.9
• /
• pp.19-30
• /
• 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.

• Journal of Bio-Environment Control
• /
• v.26 no.4
• /
• pp.432-437
• /
• 2017

Yellow sticky traps have been commonly used for monitoring tobacco whitefly populations in open-fields, as well as in greenhouses. However, the attractiveness depends on various factors such as the reflected intensity (brightness) and hues of yellow color (wavelength) of the trap surface, which is often influenced by environmental conditions and may sometimes affect tobacco whitefly capture. Therefore, the use of light-emitting traps can be a significant complementary tool to strengthen the attractiveness and selectivity of these traps. This research was carried out in tomato greenhouses to evaluate the light-emitting trap as potential attractants for Bemisia tabaci adults. The results showed that B. tabaci adults on average preferred (p>0.05) traps in yellow lights (590 nm) ($168{\pm}7.6adults/trap$) compared to traps in white lights ($106{\pm}4.6adults/trap$) and traps without lights ($60{\pm}4.8adults/trap$). The yellow light trap(590 nm) showed the most attractive to B. tabaci adults, followed by a little lower attraction to the white light trap(450-625 nm), whereas the control (no light trap) was little attractive to B. tabaci adults. These results suggested that yellow and white light traps could have a promising use in greenhouses for the identification, monitoring, and pest control tools of tobacco whiteflies.

• Journal of Convergence Society for SMB
• /
• v.2 no.1
• /
• pp.69-75
• /
• 2012

As the global warming and climate change cause the various social problems, such as disasters, abnormal temperature and diseases, technologies and studies for energy conservation and efficiency are increased. Energy use in buildings accounted for 22% of national energy use, so energy saving technology is promoted for residence, commercial and public buildings. Existing methods for energy conservation are passive ways, in that they consider heat loss and low-energy equipment. In recent years, active technologies emerge by converging with ICT, which detect and remove the energy waste situation by measuring, monitoring and controlling the energy use. In this paper, we describe technology trends for building energy optimization and investigates issues for active energy savings.