• Journal of the Korea Society of Computer and Information
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• v.20 no.5
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• pp.161-169
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• 2015

In this paper, we propose an smart device based robot programming education program and analyzing students' perceptions such as satisfaction, Expectancy-Value of IT convergence learning after the robot education program according to elementary gifted students' level. Smart device based robot programming education program designed based on schematic of the convergence suggested by WTEC and consist of creative phase, integration/fusion phase, innovation phase, outcome phase for learning practical process of the IT convergence. We are conducting a smart device based robot programming education class to consist of 126 gifted students and analysing the difference of perception. According to analysis of the result, core and advanced students' perception on satisfaction score shows also high. However, advanced level students' satisfaction score shows higher than core students' satisfaction score. Also, advanced level students' expectancy-value score on IT convergence learning shows higher than core students' score.

• Journal of the Korea Convergence Society
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• v.8 no.12
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• pp.445-450
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• 2017

Recently, at university, the number of international students from China is increasing, and we want to improve their adaptation to college life, In this research, we applied a fusion program of the tea ceremony to respect and to enhance true self through tea culture for Chinese students and seeing the tea ceremony application in Chinese. The targeting 10 international students in T University of P City have participated directly to the tea ceremony experience program once a week for 4 sessions, and watching the tea ceremony app twice or more everyday for 30 days. As the result, the average stress score of cultural adaptation of Chinese students before participating in the program was 98.5 (SD 9.63), and after participating in the program that was 93.9 (SD 9.67). And it was confirmed that the stress score level of cultural adaptation before and after participation in the program was significantly different (Z=6.702***, P=.000). Therefore, this program can be effective to reduce the cultural adaptation stress to Chinese students.

• Journal of Korean Neurosurgical Society
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• v.52 no.4
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• pp.353-358
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• 2012

Objective : The purpose of this study was to determine the efficacy of bone cement-augmented short segment fixation using percutaneous screws for thoracolumbar burst fractures in a background of severe osteoporosis. Methods : Sixteen patients with a single-level thoracolumbar burst fracture (T11-L2) accompanying severe osteoporosis treated from January 2008 to November 2009 were prospectively analyzed. Surgical procedures included postural reduction for 3 days and bone cement augmented percutaneous screw fixation at the fracture level and at adjacent levels without bone fusion. Due to the possibility of implant failure, patients underwent implant removal 12 months after screw fixation. Imaging and clinical findings, including involved vertebral levels, local kyphosis, canal encroachment, and complications were analyzed. Results : Prior to surgery, mean pain score (visual analogue scale) was 8.2 and this decreased to a mean of 2.2 at 12 months after screw fixation. None of the patients complained of pain worsening during the 6 months following implant removal. The percentage of canal compromise at the fractured level improved from a mean of 41.0% to 18.4% at 12 months after surgery. Mean kyphotic angle was improved significantly from $19.8^{\circ}$ before surgery to 7.8 at 12 months after screw fixation. Canal compromise and kyphotic angle improvements were maintained at 6 months after implant removal. No significant neurological deterioration or complications occurred after screw removal in any patient. Conclusion : Bone cement augmented short segment fixation using a percutaneous system can be an alternative to the traditional open technique for the management of selected thoracolumbar burst fractures accompanied by severe osteoporosis.

• Journal of the Ergonomics Society of Korea
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• v.4 no.2
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• pp.17-24
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• 1985

To compare heart rate, $O_2$ uptake, $Vo_2$ ($O_2$ consumption), blood pressure (systolic, diastolic), reaction time, stability, flicker fusion value during 4 load levels with Rs (self-paced respiration) and Rp (paced respiration), 4 subjects participated in this experiment 1 hour/day, 6 days/week for 9 weeks. The cycle of Rp is 6 sec. (inspiration: 3 sec. & expiration: 3 sec.) Implications of the results are discussed in terms of the change in the physiological responses and human performance by the respiratory pattern. The results are as follows, 1. The changing magnitude of heart rate with Rp was larger than with Rs and the variance during load level 4 was significant. 2. The $Vo_2$ with Rp was smaller than with Rs and maximal $O_2$ uptake given load levels with Rp occurred and for two subjects, it significantly moved from low load level to high load level. 3. The changing magnitude of blood pressure was not consistent but the systolic pressure with Rp was smaller at rest than with Rs. 4. The score of reaction time test and stability test with Rp was better than with Rs.

• The Journal of Churna Manual Medicine for Spine and Nerves
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• v.17 no.2
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• pp.63-72
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• 2022

Objectives This case study aimed to investigate the effect of complex Korean medicine treatment including Chuna manual therapy on sacroiliac joint (SIJ) pain status post SIJ fusion with sacroiliac screw fixation. Methods Complex Korean medicine treatments including Chuna manual therapy were provided to patients with SIJ widening due to a traffic accident trauma. Measurement of range of motion and manual muscle test to evaluate functional activities of daily living was conducted before and after treatment. Moreover, outcome estimates were performed using the numeric rating scale, pain disability index, and EuroQol 5-dimension five-level questionnaire. Results After complex treatment, functional activities of daily living improved. Sacroiliac joint pain decreased and the quality-of-life score improved. Conclusions This study suggests that treatment with complex Korean medicine treatment including Chuna manual therapy may improve traumatic SIJ widening status post SIJ fusion. A postoperative rehabilitation protocol based on accumulated research results considering a multidisciplinary approach should be prepared to ensure holistic treatment.

• Journal of Korean Neurosurgical Society
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• v.43 no.1
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• pp.5-10
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• 2008

Objective : To evaluate the surgical outcomes of ventral interbody grafting and anterior or posterior spinal instrumentation for the treatment of advanced spondylodiscitis with patients who had failed medical management. Methods : A total of 28 patients were evaluated for associated medical illness, detected pathogen, level of involved spine, and perioperative complications. Radiological evaluation including the rate of bony union, segmental Cobb angle, graft- and instrumentation-related complications, and clinical outcomes by mean Frankel scale and VAS score were performed. Results : There are 14 pyogenic spondylodiscitis, 6 postoperative spondylodiscitis, and 8 tuberculous spondylodiscitis. There were 21 males and 7 females. Mean age was 51 years, with a range from 18 to 77. Mean follow-up period was 10.9 months. Associated medical illnesses were 6 diabetes, 3 pulmonary tuberculosis, and 4 chronic liver diseases. Staphylococcus was the most common pathogen isolated (25%), and Mycobacterium tuberculosis was found in 18% of the patients. Operative approaches, either anterior or posterior spinal instrumentation, were done simultaneously or delayed after anterior aggressive debridement, neural decompression, and structural interbody bone grafting. All patients with neurological deficits improved after operation, except only one who died from aggravation as military tuberculosis. Mean Frankel scale was changed from $3.78{\pm}0.78$ preoperatively to $4.78{\pm}0.35$ at final follow up and mean VAS score was improved from $7.43{\pm}0.54$ to $2.07{\pm}1.12$. Solid bone fusion was obtained in all patients except only one patient who died. There was no need for prolongation of duration of antibiotics and no evidence of secondary infection owing to spinal instrumentations. Conclusion : According to these results, debridement and anterior column reconstruction with ventral interbody grafting and instrumentation is effective and safe in patients who had failed medical management and neurological deficits in advanced spondylodiscitis.

• Journal of Korean Neurosurgical Society
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• v.48 no.5
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• pp.419-422
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• 2010

Objective : To analyze the clinical outcomes of computed tomography (CT) fluoroscopy-guided selective neve root block (SNRB) for severe arm pain caused by acute cervical disc herniation. Methods : The authors analyzed the data obtained from 25 consecutive patients who underwent CT fluoroscopy-guided SNRB for severe arm pain, i.e., a visual analogue scale (VAS) score of 8 points or more, caused by acute soft cervical disc herniation. Patients with chronic arm pain, motor weakness, and/or hard disc herniation were excluded. Results : The series comprised 19 men and 6 women whose mean age was 48.1 years (range 35-72 years). The mean symptom duration was 17.5 days (range 4-56 days) and the treated level was at C5-6 in 13 patients, C6-7 in 9, and both C5-6 and C6-7 in 3. Twenty-three patients underwent SNRB in 1 session and 2 underwent the procedure in 2 sessions. No complications related to the procedures occurred. At a mean follow-up duration of 11.5 months (range 6-22 months), the mean VAS score and NDI significantly improved from 9 and 58.2 to 3.4 and 28.1, respectively. Eighteen out of 25 patients (72%) showed successful clinical results. Seven patients (28%) did not improve after the procedure, and 5 of these 7 underwent subsequent anterior cervical discectomy and fusion. Conclusion : CT fluoroscopy-guided SNRB may play a role as a primary conservative treatment for severe arm pain caused by acute cervical disc herniation.

• Journal of Korean Neurosurgical Society
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• v.59 no.6
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• pp.590-596
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• 2016

Objective : Rheumatoid arthritis (RA) is a systemic disease that can affect the cervical spine, especially the atlantoaxial region. The present study evaluated the risk factors for atlantoaxial subluxation (AAS) development and progression in patients who have undergone surgical treatment. Methods : We retrospectively analyzed the data of 62 patients with RA and surgically treated AAS between 2002 and 2015. Additionally, we identified 62 patients as controls using propensity score matching of sex and age among 12667 RA patients from a rheumatology registry between 2007 and 2015. We extracted patient data, including sex, age at diagnosis, age at surgery, disease duration, radiographic hand joint changes, and history of methotrexate use, and laboratory data, including presence of rheumatoid factor and the C-reactive protein (CRP) level. Results : The mean patient age at diagnosis was 38.0 years. The mean time interval between RA diagnosis and AAS surgery was $13.6{\pm}7.0$ years. The risk factors for surgically treated AAS development were the serum CRP level (p=0.005) and radiographic hand joint erosion (p=0.009). The risk factors for AAS progression were a short time interval between RA diagnosis and radiographic hand joint erosion (p<0.001) and young age at RA diagnosis (p=0.04). Conclusion : The CRP level at RA diagnosis and a short time interval between RA diagnosis and radiographic hand joint erosion might be risk factors for surgically treated AAS development in RA patients. Additionally, a short time interval between RA diagnosis and radiographic hand joint erosion and young age at RA diagnosis might be risk factors for AAS progression.

• Korean Journal of Remote Sensing
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• v.36 no.5_2
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• pp.989-1006
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• 2020

Building change monitoring based on building detection is one of the most important fields in terms of monitoring artificial structures using high-resolution multi-temporal images such as CAS500-1 and 2, which are scheduled to be launched. However, not only the various shapes and sizes of buildings located on the surface of the Earth, but also the shadows or trees around them make it difficult to detect the buildings accurately. Also, a large number of misdetection are caused by relief displacement according to the azimuth and elevation angles of the platform. In this study, object-based building detection was performed using the azimuth angle of the Sun and the corresponding main direction of shadows to improve the results of building change detection. After that, the platform's azimuth and elevation angles were used to detect changed buildings. The object-based segmentation was performed on a high-resolution imagery, and then shadow objects were classified through the shadow intensity, and feature information such as rectangular fit, Gray-Level Co-occurrence Matrix (GLCM) homogeneity and area of each object were calculated for building candidate detection. Then, the final buildings were detected using the direction and distance relationship between the center of building candidate object and its shadow according to the azimuth angle of the Sun. A total of three methods were proposed for the building change detection between building objects detected in each image: simple overlay between objects, comparison of the object sizes according to the elevation angle of the platform, and consideration of direction between objects according to the azimuth angle of the platform. In this study, residential area was selected as study area using high-resolution imagery acquired from KOMPSAT-3 and Unmanned Aerial Vehicle (UAV). Experimental results have shown that F1-scores of building detection results detected using feature information were 0.488 and 0.696 respectively in KOMPSAT-3 image and UAV image, whereas F1-scores of building detection results considering shadows were 0.876 and 0.867, respectively, indicating that the accuracy of building detection method considering shadows is higher. Also among the three proposed building change detection methods, the F1-score of the consideration of direction between objects according to the azimuth angles was the highest at 0.891.

• Journal of Korean Neurosurgical Society
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• v.62 no.4
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• pp.442-449
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• 2019

Objective : Bone mineral density (BMD) is an important consideration during fusion surgery. Although dual X-ray absorptiometry is considered as the gold standard for assessing BMD, quantitative computed tomography (QCT) provides more accurate data in spine osteoporosis. However, QCT has the disadvantage of additional radiation hazard and cost. The present study was to demonstrate the utility of artificial intelligence and machine learning algorithm for assessing osteoporosis using Hounsfield units (HU) of preoperative lumbar CT coupling with data of QCT. Methods : We reviewed 70 patients undergoing both QCT and conventional lumbar CT for spine surgery. The T-scores of 198 lumbar vertebra was assessed in QCT and the HU of vertebral body at the same level were measured in conventional CT by the picture archiving and communication system (PACS) system. A multiple regression algorithm was applied to predict the T-score using three independent variables (age, sex, and HU of vertebral body on conventional CT) coupling with T-score of QCT. Next, a logistic regression algorithm was applied to predict osteoporotic or non-osteoporotic vertebra. The Tensor flow and Python were used as the machine learning tools. The Tensor flow user interface developed in our institute was used for easy code generation. Results : The predictive model with multiple regression algorithm estimated similar T-scores with data of QCT. HU demonstrates the similar results as QCT without the discordance in only one non-osteoporotic vertebra that indicated osteoporosis. From the training set, the predictive model classified the lumbar vertebra into two groups (osteoporotic vs. non-osteoporotic spine) with 88.0% accuracy. In a test set of 40 vertebrae, classification accuracy was 92.5% when the learning rate was 0.0001 (precision, 0.939; recall, 0.969; F1 score, 0.954; area under the curve, 0.900). Conclusion : This study is a simple machine learning model applicable in the spine research field. The machine learning model can predict the T-score and osteoporotic vertebrae solely by measuring the HU of conventional CT, and this would help spine surgeons not to under-estimate the osteoporotic spine preoperatively. If applied to a bigger data set, we believe the predictive accuracy of our model will further increase. We propose that machine learning is an important modality of the medical research field.