• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• v.8 no.2
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• pp.242-255
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• 1997

Characteristics of attention deficit of attention-deficit hyperactivity disorder(ADHD) were investigated by administering six computerized attention tests of Vienna Test System and four neuropsychological tests to children aged 6-12, with ADHD(n=21) and age-matched normal control children(n=22). The findings indicated that ADHD children show lower level of vigilance, more decline of performance in vigilance task on time, and impaired preparedness to response. They also have selective attention deficit on monitoring tasks, but did not have sustained attention deficit compared with normal control children. On the tasks wich overload their information processing capacity, ADHD children show more impulsive response pattern than normal control children. The performance of ADHD was worse than control on the neuropsychological tests sensitive to frontal lobe dysfunction. The presense 'These' attention deficits supports the theory that the defect of ADHD is due to the dysfunction of more than one brain region, including brain stem reticular formation and frontal lobe.

• Journal of the Korean Institute of Intelligent Systems
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• v.15 no.2
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• pp.149-162
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• 2005

This paper suggest a way to detect a specific wanted figure in public places such as subway stations and banks by comparing color face images extracted from the real time CCTV with the face images of designated specific figures. Assuming that the characteristic of the surveillance camera allows the face information in screens to change arbitrarily and to contain information on numerous faces, the accurate detection of the face area was focused. To solve this problem, the normalization work using subsampling with $20{\times}20$ pixels on arbitrary face images, which is based on the Perceptron Neural Network model suggested by R. Rosenblatt, created the effect of recogning the whole face. The optimal linear filter and the histogram shaper technique were employed to minimize the outside interference such as lightings and light. The addition operation of the egg-shaped masks was added to the pre-treatment process to minimize unnecessary work. The images finished with the pre-treatment process were divided into three reception fields and the information on the specific location of eyes, nose, and mouths was determined through the neural network. Furthermore, the precision of results was improved by constructing the three single-set network system with different initial values in a row.

• Journal of the Korea Society of Computer and Information
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• v.26 no.4
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• pp.11-19
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• 2021

An abnormal object refers to a person, an object, or a mechanical device that performs abnormal and unusual behavior and needs observation or supervision. In order to detect this through artificial intelligence algorithm without continuous human intervention, a method of observing the specificity of temporal features using optical flow technique is widely used. In this study, an abnormal situation is identified by learning an algorithm that translates an input image frame to an optical flow image using a Generative Adversarial Network (GAN). In particular, we propose a technique that improves the pre-processing process to exclude unnecessary outliers and the post-processing process to increase the accuracy of identification in the test dataset after learning to improve the performance of the model's abnormal behavior identification. UCSD Pedestrian and UMN Unusual Crowd Activity were used as training datasets to detect abnormal behavior. For the proposed method, the frame-level AUC 0.9450 and EER 0.1317 were shown in the UCSD Ped2 dataset, which shows performance improvement compared to the models in the previous studies.

• Korean Journal of Clinical Laboratory Science
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• v.54 no.1
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• pp.61-67
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• 2022

Intraoperative neurophysiological monitoring (INM) ensures the stability and safety of specific surgeries in high-risk groups. As part of INM, intensive tests are conducted during the surgical process. When INM tests are applied during surgery, a delay in notifying the operating surgeon in cases of neurological defects can cause serious irreversible sequelae to the patient. Aortic replacement, which is necessitated due to aortic aneurysms and aortic dissection, is a complicated procedure that blocks the blood flow to the heart. When arteries that branch out from the aorta and supply blood to the spinal cord are replaced, blood flow to the spinal cord decreases, resulting in spinal ischemia. In aortic surgery, INM plays an important role in preventing spinal ischemia and serious complications by quickly detecting the early signs of spinal ischemia during cross-clamping and reporting it to the surgeon. Therefore, this paper was prepared to help examiners who conduct INM by detailing the process, method, time, and warning criteria for INM. This paper identifies the need for INM in aortic surgery and the process flow for a smooth test, accurate and rapid examination, and subsequent reporting.

• KIPS Transactions on Software and Data Engineering
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• v.7 no.3
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• pp.99-106
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• 2018

In the process of acquiring information through the cyber ISR (Intelligence Surveillance Reconnaissance) and research into the agent to help decision-making, periodic communication between the C&C (Command and Control) server and the agent may not be possible. In this case, we have studied how to effectively surveillance and reconnaissance. Due to the network configuration, agents planted on infiltrated computers can not communicate seamlessly with C&C servers. In this case, the agent continues to collect data continuously, and in order to analyze the collected data within a short time in When communication is possible with the C&C server, it can utilize limited resources and time to continue its mission without being discovered. This research shows the superiority of incremental learning method over batch method through experiments. At an experiment with the restricted memory of 500 mega bytes, incremental learning method shows 10 times decrease in learning time. But at an experiment with the reuse of incorrectly classified data, the required time for relearn takes twice more.

• Clinical and Experimental Pediatrics
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• v.50 no.5
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• pp.484-488
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• 2007

Purpose : The purpose of this study was to determine the incidence and potential predictors of weight gain in older children and teens treated with valproate (VPA) for epilepsy. Methods : Sixty-five subjects aged 8 to 17 years of age, who began VPA treatment between January 1, 2001, and December 31, 2004, and who had documented weight and height measurements at medication initiation and at least one follow-up visit were retrospectively identified. Exclusion criteria were follow-up <6 months, discontinuation of VPA within 6 months, and concurrent therapy with medication known to affect weight (such as topiramate, carbamazepin). Body mass index (BMI) was calculated at initiation and either discontinuation of VPA or last follow-up and stratified into four categories: group 1, underweight <5%; group 2, appropriate 5-85%; group 3, potentially overweight 85-95%; group 4, overweight >95%. Results : Twenty-eight subjects (77.8%) remained within their same category and eight (22.2%) moved up at least one category. Weight gain (increase in BMI difference) was observed in 72.2% of the 36 subjects treated with VPA. Three factors, neurocognitive status (P=0.017), seizure type (P=0.001) and duration of VPA treatment (P=0.035) were identified to be significant predictors of BMI difference. Conclusion : VPA induces weight gain in children and teens with epilepsy. These factors which are normal neurocognitive status, primary generalized type and duration of VPA treatment over the 12 months were predictors for an increase of weight gain. Therefore potential weight gain should be discussed with patients before the initiation of therapy and BMI should be monitored closely.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.12 no.3
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• pp.104-113
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• 1998

In genral, the water process facilities include the purification plant, the waste water plant and the process of this purification plant is consisted of the intake, coagulation, settling, filtration, disinfection. The coagulation is very important in filtration processing plant and is very related to process of turbidity. The coagulation to the turbidity is, however, not yet to be clarified and the amount of coagulant can not be easily calculated. Moreover the coagulant dosing amount has to be decided adaptively according to the qualities of the raw water. So, the automation of chemicals dosing process and the supervisory system were needed to improve the performance of facilities. In this paper, a neural network is employed to model the coagulation to the turbidity of the treated water and the historical jar-test data are used to train the neural network. And also, an automation system to support the coagulant dosing process using the neural network was implemented and was shown by the field test. This automation system for the operator support system was constructed the environment to supervise the state an management of facilities for the maintenance.

• Journal of the Korean Arthroscopy Society
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• v.13 no.3
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• pp.212-219
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• 2009

Medially retracted large-sized rotator cuff tears includes large-sized tears, massive tears and irreparable tears. Generally arthroscopic repair or open repair of rotator cuff tears is used in reparable tears. However, arthroscopic repair requires long period practice and endurance. In irreparable tears, arthroscopic debridement, partial repair, latissimus dorsi transfer and retrograde arthroplasty can be the option. Arthoscopic debridement gives temporal relief who experienced improvement in pain and increase in range of motion after subacromial local anesthetic injection. Also arthroscopic partial repair gives good results in irreparable cases, especially in suprascapular nerve traction neurapraxia. Tendon transfer can be used in mild to moderate muscle weakness in shoulder abduction for long term treatment. Pectoralis major transfer can be used in anterosupeior tears and latissimus dorsi transfer can be used in posterosuperior tears. Reverse shoulder prosthesis is used in extreamly weakened shoulder pseudoparalysis. The authors discussed the method of arthroscopic repair in irreparable tears. The debridement, partial repair, and tendon transfer could be used in medially retracted large-sized rotator cuff tears.

• Journal of Korea Entertainment Industry Association
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• v.15 no.3
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• pp.289-295
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• 2021

Today, the most important factor affecting the quality of human life is thought to be due to the environment. The importance of environmental monitoring systems to improve human life and improve welfare as the magnitude of the damage increases year by year due to the rapid increase in the frequency of hail, typhoons, collapse of incisions, landslides, etc. Is increasing day by day. Among environmental problems, problems caused by water quality have a very high proportion, and as there is a growing concern that the scale of damage will increase when water pollution accidents occur due to urbanization and industrialization, the demand for social water safety nets is increasing. have. In the last 5 years, 259 cases of water pollution (Han River 99, Nakdong River 31, Geum River 25, Seomjin River and Yeongsan River 19, and 85 others) have occurred in the four major river basins. Caused damage. Therefore, it is required to establish a water quality environment management strategy system based on big data that can minimize the uncertainty of the water quality environment by expanding the target of water quality management from the current water quality management system centered on the four major rivers to small and medium-sized rivers, tributaries/branches, and reservoirs. In this paper, we intend to construct and analyze a water quality monitoring system based on big data that can present useful water quality environment information by analyzing the water quality information accumulated for a long time.

• Korean Journal of Health Education and Promotion
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• v.10 no.1
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• pp.98-105
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• 1993

최근 경제수준 향상과 소자녀 가치관의 확립, 그리고 전국민 의료보험 실시 등으로 인하여 모자보건 대상자의 대부분은 민간 의료시설의 전문인력으로부터 서비스를 제공받게 되었고, 모자보건 수준도 급격히 향상, 1992년 시설분만율의 경우, 99%에 도달하였다. 이렇듯 의료시설 이용의 증가와 의료기술의 발전에도 불구하고, 영아사망율 및 모성사망율이 최근 몇년동안 같은 수준에 머무르고 있음은, 보다 질적인 관리측면으로 사업의 방향이 전환되어야 함을 의미하는데 이는 곧 공공성을 띠고 있는 모자보건사업을 국가가 관리하여야 할 필요성을 더욱 크게 한다. 공공부문에서는 취약대상을 위하여 민간 전문인력과의 유기적인 연계체계를 마련하여 계속적인 관리를 제공할 수 있도록 하고, 보건교육 강화를 위한 관련 홍보물(모자보건수첩 활용, 모유수유 권장, 제왕절개수술 지양 등)을 제작하며 신경아세포종 검사 등과 같은 새로운 예방사업 개발에 중점을 두어야 할 것이다. 또한 영유아관리는 저체중아 및 장애아에 대한 추구관리서비스까지 확대되어야 할 것이다. 현 우리나라 주산기구급이송체계는 응급의료체계내에서 이루어지고 있다고 볼 수 있는데 주산기관리를 위한 의료여건이 성숙되어 있지 못하고 있는데다(이 시기의 집중관리를 통하여 사망 및 장애아 예방이 가능) 관련 제도마저 취약하여 민간의료부문에서는 영아사망 및 모성사망을 낮추기 위해서는 이 부문에 대한 노력이 집중되어야 할 것이다. 첫째, 주산기학, 신생아학 전문인력의 훈련제도 확립파 주산기 관리시설의 지역적 적정분배(분만 2,000건에 1개 시설마련), 둘째, 집중적인 인력과 고가장비가 투입되는 주산기 의료활동 강화를 위한 관련 의료제도의 수정 및 보완, 세째, 질적관리가 매우 중시되는 고위험 신생아의 집중관리를 위한 '표준 의료관리지침서' 마련, 네째, 동 시설 및 관리에 준하여 주산기 의료시설에 대한 감독 및 감시기능 강화를 위한 제도적 장치가 마련되어야 할 것이다.