• Korean Journal of Artificial Intelligence
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• v.9 no.2
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• pp.23-28
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• 2021

In this paper, we studied a system that can efficiently build security management for single-person households using Arduino, ESP32-CAM and PIR sensors, and proposed an Android app with an internet connection. The ESP32-CAM is an Arduino compatible board that supports both Wi-Fi, Bluetooth, and cameras using an ESP32-based processor. The PCB on-board antenna may be used independently, and the sensitivity may be expanded by separately connecting the external antenna. This system has implemented an Arduino-based Unauthorized intrusion system that can significantly help prevent crimes in single-person households using the combination of PIR sensors, Arduino devices, and smartphones. unauthorized intrusion system, showing the connection between Arduino Uno and ESP32-CAM and with smartphone applications. Recently, if daily quarantine is underway around us and it is necessary to verify the identity of visitors, it is expected that it will help maintain a safety net if this system is applied for the purpose of facial recognition and restricting some access. This technology is widely used to verify that the characters in the two images entered into the system are the same or to determine who the characters in the images are most similar to among those previously stored in the internal database. There is an advantage that it may be implemented in a low-power, low-cost environment through image recognition, comparison, feature point extraction, and comparison.

• Journal of Information Processing Systems
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• v.18 no.3
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• pp.302-310
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• 2022

Efficient use of limited blood products is becoming very important in terms of socioeconomic status and patient recovery. To predict the appropriateness of patient-specific transfusions for the intensive care unit (ICU) patients who require real-time monitoring, we evaluated a model to predict the possibility of transfusion dynamically by using the Medical Information Mart for Intensive Care III (MIMIC-III), an ICU admission record at Harvard Medical School. In this study, we developed an explainable machine learning to predict the possibility of red blood cell transfusion for major medical diseases in the ICU. Target disease groups that received packed red blood cell transfusions at high frequency were selected and 16,222 patients were finally extracted. The prediction model achieved an area under the ROC curve of 0.9070 and an F1-score of 0.8166 (LightGBM). To explain the performance of the machine learning model, feature importance analysis and a partial dependence plot were used. The results of our study can be used as basic data for recommendations related to the adequacy of blood transfusions and are expected to ultimately contribute to the recovery of patients and prevention of excessive consumption of blood products.

• The Journal of Internal Korean Medicine
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• v.42 no.6
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• pp.1245-1254
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• 2021

Objectives: This study investigated the clinical characteristics and symptoms of patients with reflux esophagitis (RE) visiting a Korean medicine hospital. Methods: We retrospectively reviewed the medical records of patients with an RE diagnosis who visited a Korean medicine hospital from June 15, 2020, to April 15, 2021. We analyzed the clinical characteristics and the results of a symptoms questionnaire. Results: Our sample included 1,151 patients (711 females). The median age was 58 years; the most common age bracket was 60-69 years. A total of 837 patients (72.7%) presented with symptoms lasting more than one year, and 1,035 (89.9%) had been prescribed medications for more than three months before visiting a Korean medicine hospital. Belching (77.6%) and acid regurgitation (70.9%) were the most frequent symptoms, followed by epigastric pain (61.6%) and throat globus (58.5%). Throat globus was the most bothersome symptom, and 72.4% of the patients experienced the symptom on more than five days in the preceding two weeks. Patients with a longer symptom duration were older (p<0.01) and more likely to be overweight (p=0.03). Patients experiencing symptoms for more than five years were more likely to report throat globus (p=0.02), hoarseness (p<0.01), and coughing (p<0.01). Conclusions: Most RE patients visiting a Korean medicine hospital were females in their sixties with chronic and refractory RE. Atypical symptoms (belching, epigastric pain, and throat globus) were common. Throat globus was highly prevalent in severe cases, suggesting that it warrants attention when treating RE patients.

• The Journal of the Society of Stroke on Korean Medicine
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• v.14 no.1
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• pp.107-114
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• 2013

■ Objectives The purpose is to review the application of the Kampo medicine(traditional Japanese medicine) in the neurosurgical field, through the analysis of the studies are presented at the Annual Meeting of Kampo Medicine Association of the Japan Neurosurgical Society. ■ Methods We have reviewed the studies that were reported at the 21th annual meeting of the Kampo medicine association of the Japan neurosurgical society was held on November 3 2012 in Tokyo, Japan. Seventeen included clinical reports were analyzed among all 25 studies at the meeting. Five studies were related with headache and eight were focused on the cerebrovascular disease including chronic subdural hemorrhage(CSDH) treated with Orungsan(Goreisan: 五苓散) or Siryungtang(Saireto: 柴苓湯), and other four were for pain managements. In the matters of headache, a unique feature was that Osuyutang(Gosyuyuto: 吳茱萸湯) or Oryungsan was considered as the first choice of the treatment for the headache, unlike Korea. It seems to consider to application the treatment of CSDH using Oryungsan in neurosurgery field of Korea. In addition, herbal prescription using Jackyakgamchotang(Syakuya kukanzoto: 芍藥甘草湯), Ukgansan(Yokkansan: 抑肝散), Chitabakilbang(Jidabokuippo: 治打撲一方) for acute/chronic pain is as well one of the peculiar points of Kampo medicine in Japan. ■ Conclusion It is expected that the recent studies performed in Japan neurosurgery fields to inspire domestic research and clinical applications, and needed to additional research and utilize in practice in Korea.

• Journal of Digital Convergence
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• v.13 no.6
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• pp.151-156
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• 2015

In this paper, we have proposed personal multimodal biometric authentication system based on face detection, recognition and speaker verification for smart-phone environment. Proposed system detect the face with Modified Census Transform algorithm then find the eye position in the face by using gabor filter and k-means algorithm. Perform preprocessing on the detected face and eye position, then we recognize with Linear Discriminant Analysis algorithm. Afterward in speaker verification process, we extract the feature from the end point of the speech data and Mel Frequency Cepstral Coefficient. We verified the speaker through Dynamic Time Warping algorithm because the speech feature changes in real-time. The proposed multimodal biometric system is to fuse the face and speech feature (to optimize the internal operation by integer representation) for smart-phone based real-time face detection, recognition and speaker verification. As mentioned the multimodal biometric system could form the reliable system by estimating the reasonable performance.

• Proceedings of the KSRS Conference
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• 1998.09a
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• pp.153-158
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• 1998

Since the mid-1990′s, researches on 3D GIS have been regarded as one of main issues both in the academic sites and commercial vendors; recently, some prototyped systems or the first versioned software systems of commercial basis are being reported and released. Unlike conventional 2D GIS, which consists in intelligent structured GIS or desktop GIS, every 3D GIS has its own distinguished features according to data structure-supporting capability, GIS-styled functionality, external database accessibility, interfacing extents with 2D GIS, 3D visualization/texture mapping ability, and so forth. In this study, technical aspects related to system development, SERI-Web3D GIS ver. 1.2, are explained. Main features in this revised 3D GIS can be summarized: 2-tier system model(client-server), VGFF(Virtual GIS File Format), internal GIS import, Feature manager(zoning, layering, visualization evironment), Scene manager(manage 3D geographic world), Scene editor, Spatial analyzer(Intersect, Buffering, Network analysis), VRML exporter. While, most other 3D GISes or cartographic mapping systems may be categorized into 3D visualization systems handling terrain height-field processing, 2D GIS extension modules, or 3D geometric feature generation system using orthophoto image: actually, these are eventually considered as several parts of "real 3D GIS". As well as these things, other components, especially web-based 3D GIS, are being implemented in this study: Surface/feature integration, Java/VRML linkage, Mesh/Grid problem, LOD(Level of Detail)/Tiling, Public access security problem, 3-tier architecture extension, Surface handling strategy for VRML.

• Tuberculosis and Respiratory Diseases
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• v.51 no.4
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• pp.334-345
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• 2001

Background : Pulmonary tuberculosis(TB) is still prevalent and remains a significant clinical problem for the elderly. However, the disease presents in many ways, and there are frequent adverse drug reactions that may prevent the early diagnosis and treatment of elderly TB patients compared to the young. The purpose of this study was to determine whether or not there are any differences in the clinical feature of pulmonary tuberculosis(TB) in both the diagnosis and treatment between the young (less than 64 years) and the elderly (65 years and more). Methods : The medical records of 125 young and 70 elderly pulmonary TB patients, who were diagnosed with and treated for pulmonary TB at the Seoul Municipal Boramae Hospital from November 1991 to January 1997, were analyzed retrospectively. Results : Anorexia(12% vs. 31.4%), general weakness (20.0% vs. 54.3%), dyspnea(21.6% vs. 37.1%) and an abnormal mentality (0.8% vs. 15.7%) were more frequent presenting symptoms in elderly TB patients, whereas hemoptysis (32.8% vs. 10.0%) and fever (BT > $37^{\circ}C$, 58.4% vs. 35.7%) were more frequent in the young. The elderly had a higher number of cardiovascular and chronic obstructive pulmonary diseases as underlying illnesses. In chest PA, there were no differences in the location of the TB lesion, but the appearances were initially diagnosed more frequently as pneumonia or lung cancer (8.8% vs. 30.0%, p<0.05) in the elderly. There was no difference in the detection rate of acid fast bacilli(AFB) in the sputum between the two groups. There were no differences in the treatment response and follow-up loss. However, adverse drug reactions (13.6% vs. 45.7%, p<0.05), and changes in medication (4.9% vs. 25.7%, p<0.05) during treatment occurred more frequently in the elderly. One among the 125 young patients died from tuberculosis whereas 6 among the 70 elderly patients died from the disease. Conclusion : Because the clinical and radiological presentations were more atypical, a sputum AFB smear and culture should be done immediately in the elderly who are TB. The elderly experienced more frequent adverse drug reactions and mortality during treatment, but the response to treatment was good and rapid.

• Tuberculosis and Respiratory Diseases
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• v.65 no.1
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• pp.37-40
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• 2008

Nephrotic syndrome is a relatively rare complication of malignancy. A few cases of nephrotic syndrome accompanying Hodgkin's disease, non-Hodgkin lymphoma, leukemia and other malignancies have been reported since the first case of the nephrotic syndrome associated with extrarenal malignancy was reported in 1922. Hodgkin's disease and solid tumors are known to be the most common malignancies accompanying nephrotic syndrome. The pathologic findings of kidney in patients with Hodgkin's disease commonly show minimal change nephropathy. Membranous glomerulonephropathy is the most common pathologic feature in patients with solid tumors. Although membranous glomerulonephropathy related to small cell lung cancer has rarely been reported in Korea, minimal change nephropathy accompanying small cell lung cancer has never been reported. We present here a case of a 70 year-old male with minimal change nephropathy that was related to small cell lung cancer. We detected small cell lung cancer during the diagnosis work-up of nephrotic syndrome. We suggest that nephrotic syndrome can be a manifestation of underlying malignancy.

• Journal of rehabilitation welfare engineering & assistive technology
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• v.11 no.3
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• pp.261-270
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• 2017

Bad sitting postures are known to cause for a variety of diseases or physical deformation. However, it is not easy to fit right sitting posture for long periods of time. Therefore, methods of distinguishing and inducing good sitting posture have been constantly proposed. Proposed methods were image processing, using pressure sensor attached to the chair, and using the IMU (Internal Measurement Unit). The method of using IMU has advantages of simple hardware configuration and free of various constraints in measurement. In this paper, we researched on distinguishing sitting postures with a small amount of data using just one IMU. Feature extraction method was used to find data which contribution is the least for classification. Machine learning algorithms were used to find the best position to classify and we found best machine learning algorithm. Used feature extraction method was PCA(Principal Component Analysis). Used Machine learning models were five : SVM(Support Vector Machine), KNN(K Nearest Neighbor), K-means (K-means Algorithm) GMM (Gaussian Mixture Model), and HMM (Hidden Marcov Model). As a result of research, back neck is suitable position for classification because classification rate of it was highest in every model. It was confirmed that Yaw data which is one of the IMU data has the smallest contribution to classification rate using PCA and there was no changes in classification rate after removal it. SVM, KNN are suitable for classification because their classification rate are higher than the others.

• Tunnel and Underground Space
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• v.29 no.6
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• pp.542-557
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• 2019

The behavior of rock mass is influenced by its microscopic feature of internal structure generating from forming and metamorphic process. This study investigated a new methodology for characterization of rock based on the X-ray CT (computed tomography) images reflecting the spatial distribution characteristics of internal constituent materials. The X-ray image based analysis is capable of quantification of heterogeneity and anisotropy of rock fabric, size distribution and shape parameter analysis of rock mineral grains, fluid flow simulation based on pore geometry image and roughness evaluation of unexposed joint surface which are hardly acquired by conventional rock testing methods.