• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.23 no.4
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• pp.533-540
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• 2012

The use of wind energy is gaining importance because of its many advantages. Nations worldwide are promoting the installation of wind farms to produce electricity in an attempt to tackle climate change and increasing oil costs. But, wind turbines can generate undesired signals which disturb the performance of military radar systems. Because the current generation of on and off-shore three bladed wind turbines have radar signatures consistent with their very large physical size. So this study considers the options available for the reduction of wind turbine radar signature and presents solutions for each of the main external turbine components. The radar signature reduction approaches are based on existing technologies developed for aerospaces stealth applications. However, the realization of these for the purposes of reduction wind turbine radar signatures is a novel development, particularly in the solutions proposed. This paper is presented techniques which reduce radar signatures of wind turbine. We know that radar signatures of wind turbine reduce by using these techniques.

• Journal of the korean academy of Pediatric Dentistry
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• v.34 no.3
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• pp.498-505
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• 2007

Management options for impacted maxillary canines can include (1) continued observation, (2) extraction of the primary canine to aid spontaneous eruption, (3) uncovering and bonding of the impacted tooth and its eruption using orthodontic traction, (4) autotransplantation, and (5) extraction followed by prosthetic replacement. Autotransplantation should be considered when the degree of malposition is too severe to correct by orthodontic alignment. The present report describes the management of an ectopic eruption of the left maxillary canine in an 10-year-old girl. The treatment included the extraction of primary maxillary left canine and the autotransplantation using a Rapid Prototyping model. By using RP model to contour the recipient bone and check for fitting in the prepared socket, the extra-oral time can reduce. The autotransplanted canine showed mobility within normal limit, negative response to percussion and positive to electric pulp test after 6 months.

• Journal of Internet Computing and Services
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• v.7 no.3
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• pp.119-132
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• 2006

The network based security techniques well-known until now have week points to be passive in attacks and susceptible to roundabout attacks so that the misuse detection based intrusion prevention system which enables positive correspondence to the attacks of inline mode are used widely. But because the Misuse detection based Intrusion prevention system is proportional to the detection rules, it causes excessive false alarm and is linked to wrong correspondence which prevents the regular network flow and is insufficient to detect transformed attacks, This study suggests an Intrusion prevention system which uses Support Vector machines(hereinafter referred to as SVM) as one of rule based Intrusion prevention system and Anomaly System in order to supplement these problems, When this compared with existing intrusion prevention system, show performance result that improve about 20% and could through intrusion prevention system that propose false positive minimize and know that can detect effectively about new variant attack.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.24 no.4
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• pp.327-334
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• 2006

The aerial photos need in a simple object such as cartography and ground cover classification and also in a social objects such as the city plan, environment, disaster, transportation etc. However, the shadow, which includes when taking the aerial photos, makes a trouble to interpret the ground information, and also users, who need the photos in their field tasks, have a restriction. Generally the shadow occurs by the building and surface topography, and the detail cause is by changing of the illumination in an area. For removing the shadow this study uses the single image and processes the image without the source of image and taking situation. Also, applying the entropy minimization method it generates the 1-D gray-scale invariant image for creating the shadow edge mask and using the Canny edge detection creates the shadow edge mask, and finally by filtering in Fourier frequency domain creates the intrinsic image which recovers the 3-D color information and removes the shadow.

• Proceedings of the Korea Water Resources Association Conference
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• 2007.05a
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• pp.388-392
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• 2007

지구온단화와 이상기후에 의해 시설물 피해가 나날이 증가하고 있으며, 농촌의 인구감소 및 고령화에 의해 이러한 집중강우등에 대한 대처도 어려운 실정이다. 현재 전국에서 농업용수 공급을 위해 사용하고 있는 농업용 저수지는 17,882개소로서 이 중 축조한지가 35년 이상 경과된 저수지가 15,856개소로서 88.7%나 차지하고 있다. 이러한 현상은 저수지를 구성하고 있는 각종 부대시설의 노후화로 귀결되며 농업용수의 낭비 및 효율적인 운영을 위해서는 시설의 현대화가 필수적이라고 할 수 있다. 따라서 본 연구에서는 저수지에서 물을 직접 공급하는 시설인 사통수문을 대상으로 현대화를 이룩하고 또한 사용동력도 대체에너지를 이용하기 위한 방안을 제시하였다. 사통수문의 수문비는 수중의 압력을 효율적으로 분산시킬 수 있는 원형수문비와 수중에서도 사용동력을 가장 적게 할 수 있는 밸브형을 기준으로 개발을 하였으며, 수문비와 구동부를 연결하는 작동 롯드의 힘전달을 최소화하기 위하여 유니버셜 쪼인트를 볼밸브형으로 개발하였다. 이에 따라서 작동용 롯드의 길이가 길어져도 수문비에 걸리는 작동모멘트를 최소화하여 태양광을 이용한 동력사용이 가능해졌다. 특히 수중에서 움직이는 특성을 감안하여 원형 수문비의 경우에는 수문비와 수문틀 사이에 마찰력을 감소시키기 위하여 수문틀측을 약간 경사지게 가공을 하고 중간에 볼 베이렁을 부착시켜 수문개폐가 원활토록 지수부의 구조변화를 하였다. 또한 농업용수공급시 수류와 함께 유입되는 저수지 내 오물을 차단하기 위하여 수문의 전면에 스크린을 설치하였으며 토사퇴적으로 인하여 수문작동의 방해가 되지 않도록 하기 위하여 토목구조물을 설치하였다. 그리고 동력전달을 효율적으로 하기 위하여 Solar Unit으로부터 나오는 전기를 중전기에서 밧데리로 축전을 시키고 완전 충전 후에는 나머지 전기는 방전이 되도록 회로를 구성하였다. 사통수문 자원조사 결과에 의하면 현재 저수지에 물공급을 하는 수문은 취수탑 형식이 70% 이상을 차지하고 있으며 나머지 30%의 사통수문 중 원형수문비가 98% 이상을 차지하고 있다. 현재 대체에너지를 사용하는 저수지 사통수문은 없는 것으로 조사되었으며 전력을 사용하는 사통도 조사결과에 의하면 20% 이내로 나타났다. 이러한 결과는 향후 수리시설 개보수시 적은 예산으로 사업을 시행하는 경우 사통수문의 설치방향의 지표가 될 것으로 판단되며 수리시설의 운영관리에 대한 새로운 대안으로 제시할 수 있다.

• Journal of the Korean Institute of Intelligent Systems
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• v.21 no.1
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• pp.86-99
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• 2011

Due to the uncertainty of intention recognition for behaviors of users, the intention is differently recognized according to the situation for the same behavior by the same user, the accuracy of user intention recognition by minimizing the uncertainty is able to be improved. This paper suggests a novel ontology-based method to recognize user intentions, and able to minimize the uncertainties that are the obstacles against the precise recognition of user intention. This approach creates ontology for user intention, makes a hierarchy and relationship among user intentions by using RuleML as well as Dynamic Bayesian Network, and improves the accuracy of user intention recognition by using the defined RuleML as well as the gathered sensor data such as temperature, humidity, vision, and auditory. To evaluate the performance of robot proactive planning mechanism, we developed a simulator, carried out some experiments to measure the accuracy of user intention recognition for all possible situations, and analyzed and detailed described the results. The result of our experiments represented relatively high level the accuracy of user intention recognition. On the other hand, the result of experiments tells us the fact that the actions including the uncertainty get in the way the precise user intention recognition.

• Proceedings of the Korea Technical Association of the Pulp and Paper Industry Conference
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• 2000.04a
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• pp.49-49
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• 2000

최근, 제지산업에 있어서 종이의 경량화 연구는 원료 절감, 에너지 절감 등의 주 효과와 운송비 절감을 비롯한 부차적인 효과가 크기 때문에 앞으로도 활발히 추진 될 것으로 전망 된다. 그러나 이러한 경량화는 종이의 광학적 특성인 불투명도와 물리적 특성인 강도 저하 를 필연적으로 가져오게 한다. 특히 인쇄 및 필기용지의 경우 종이의 불투명도 저하는 인쇄 시 인쇄화상 뒤비침 현상으로 인하여 치명적인 악 영향을 초래한다. 종이의 불투명도를 개선하기 위하여 사용되는 가장 보편적인 방법은 충전제를 가능한 범 위내에서 많이 첨가시키는 것이다. 그러나 이 방법은 불투명도는 향상이 가능하나 미세분의 다량 발생에 의한 초지공정의 보류 및 폐수 문제, 종이의 강도 저하 문제를 야기 시킨다. 따라서 본 연구는 종이의 경량화에 수반되는 불투명도, 강도 문제의 지료 영향 인자인 섬유, 종이구조 및 충전제의 특성 등을 검토하여 보다 효율적인 지료조성 대책을 제시하고 충전제 첨가법을 개선하여 보류율을 향상시키고, 종이의 강도 감소율을 최소화하면서 불투 명도를 향상시킬 수 있는 효율적인 방법을 제시하기 위하여 수행 되었다. 구체적인 방법으로서는 펄프 및 충전물의 종류에 따른 종이의 물성과 불투명도의 변화를 관찰하였으며 또한 충전물의 충전시, 충전물의 보류를 향상시키면서 섬유간의 결합 방해를 최소화 시켜 종이의 본래 강도를 유지시키는 Fiber Loading의 새로운 방법인 Beater L Loading법을 시도하였다. 본 연구의 결과 수종간의 차이는 있었지만 활엽수 펄프가 칩엽수 펄프에 비해 불투명도 및 백색도 등의 광학적 성질이 우수한 것으로 나타나 펄프 종류및 수종의 적절한 선택에 의 하여 종이의 광학적 성질을 어느 정도 높일 수 있음을 알 수 있었다. 그리고 충전물을 Beater Loading에 의해 첨가하였을 경우가 일반적인 Loading보다 보류 율이 좋았고 종이의 불투명도와 강도도 높게 나타났었다. 이러한 실험결과로 보아 일반적인 Loading 방법보다 Beater Loading법이 강도의 손실없이 불투명도를 높일 수 있는 효과적인 수단이 될 것으로 생각된다.

• Korean Journal of Clinical Laboratory Science
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• v.53 no.2
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• pp.193-198
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• 2021

The purpose of spinal dural arteriovenous fistula (SDAVF) ligation is to prevent neurological injury and the poor blood supply through ligation of arteriovenous fistula. Therefore, intraoperative neurophysiological monitoring (INM) is required via multimodal neurological examination for minimizing the side effects after surgery based on the patient's symptoms. Transcranial electric motor-evoked potentials (TceMEP) help to check the condition of the corticospinal tract. Whenever ligation is performed, TceMEP should be performed every minute to check for abnormalities. However, an examiner's lack of knowledge about the operation procedure and examination and also poor communication between the examiner and surgeon can cause incorrect timing of the stimulation of TceMEP that interferes with the procedure and causes side effects such as paralysis and motor weakness. As a result of this SDAVF ligation survey, it is believed that for proper INM, case reports will be needed along with further research and the examiner will also have to work closely with the surgeon to minimize neurological damage to patients.

• Polymer(Korea)
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• v.35 no.5
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• pp.467-471
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• 2011

PET bottle is manufactured by blow molding the preform, which is molded by injection molding. The neck part of the preform of PET bottle for juice or grain-based beverage is crystallized before blowing to improve heat resistance at the entrance of the bottle. However, residual stress, developed during injection molding of preform, prevents the crystallization. In order to release the residual stress in the preform, the preform is annealed after the injection molding. If the residual stress is reduced by optimizing the injection molding conditions of preform the annealing time would be shortened. In this study, the optimum conditions for minimizing the residual stress and increasing dimensional accuracy of the injection molded preform are suggested through CAE analysis. In order to optimize the molding conditions, minimizing residual stress and shrinkage, computer simulations have been carried out with help of design of experiment scheduling. Injection temperature, initial packing pressure and filling time were selected for control parameters. Residual stress was affected by injection temperature and filling time. Shrinkage was affected by injection temperature. It was found that maximum residual stress, distribution of residual stress and shrinkage were decreased by 22%, 40% and 25%, respectively at an optimum molding condition compared with the results of previous molding condition.

• Journal of Internet Computing and Services
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• v.23 no.4
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• pp.57-64
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• 2022

If the inside of a building collapses due to a disaster such as fire, collapse, or natural disaster, the physical security inside the building is likely to become ineffective. Here, physical security is needed to minimize the human casualties and physical damages in the collapsed building. Therefore, this paper proposes an algorithm to minimize the damage in a disaster situation by fusing existing research that detects obstacles and collapsed areas in the building and a deep learning-based object detection algorithm that minimizes human casualties. The existing research uses a single camera to determine whether the corridor environment in which the robot is currently located has collapsed and detects obstacles that interfere with the search and rescue operation. Here, objects inside the collapsed building have irregular shapes due to the debris or collapse of the building, and they are classified and detected as obstacles. We also propose a method to detect rescue requesters-the most important resource in the disaster situation-and minimize human casualties. To this end, we collected open-source disaster images and image data of disaster situations and calculated the accuracy of detecting rescue requesters in disaster situations through various deep learning-based object detection algorithms. In this study, as a result of analyzing the algorithms that detect rescue requesters in disaster situations, we have found that the YOLOv4 algorithm has an accuracy of 0.94, proving that it is most suitable for use in actual disaster situations. This paper will be helpful for performing efficient search and rescue in disaster situations and achieving a high level of physical security, even in collapsed buildings.