• Journal of KIISE:Computing Practices and Letters
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• v.16 no.2
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• pp.177-185
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• 2010

Ray-object intersection is an important element in ray tracing that takes up a substantial amount of computing time. In general, such spatial data structure as kd-tree has been frequently used for static scenes to accelerate the intersection computation. Recently, a few variants of kd-tree traversal have been proposed suitable for the GPU that has a relatively restricted computing architecture compared to the CPU. In this article, we propose yet another two implementation techniques that can improve those previous ones. First, we present a cached stack method that is aimed to reduce the costly global memory access time needed when the stack is allocated to global memory. Secondly, we present a rope-with-short-stack method that eases the substantial memory requirement, often necessary for the previous rope method. In order to show the effectiveness of our techniques, we compare their performances with those of the previous GPU traversal methods. The experimental results will provide prospective GPU ray tracer developers with valuable information, helping them choose a proper kd-tree traversal method.

• Journal of Pharmacopuncture
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• v.6 no.1
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• pp.33-34
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• 2003

배경: 독일 의사와 보험회사 위원회 (The German Board of Physicians and Insurance Companies:Bundesausschuss der Arzte und Krankenkassen)가 앞으로 일부 적응증에 대한 침치료에 대해 공적 보험회사가 보험료를 지급해야 할 지에 대한 추가 결정을 하기 위해 침의 효과를 평가하기로 했다. 목적: 1) 침치료가 편두통의 예방, 긴장성 두통, 요통, 무릎과 고관절의 골관절염치료에 대조군 침치료보다 효과가 있는지 검증 2) 침치료가 편두통의 예방적 치료에 표준 약물 치료와 비슷하게 효과가 있는지 검증 3) 보건의료 서비스체계 안에서 주어진 조건에 대한 일상적 침치료의 질적인 부분을 서술하고, 안전성을 평가하며, 다른 침술학파간의 임상결과의 차이와 비용의 효용적 활용부분을 평가한다. 4) 위의 적응증에 해당하는 모든 임상실험연구를 찾아내어 기존의 고찰내용을 갱신한다. 방법: 1) 무작위 표본추출 임상 실험, 침치료, 거짓침 치료, 대기자 명단 대조군, 출발시점 4주, 28주 관찰 2) 무작위 표본추출 임상 실험, 침치료, 표준약물치료 대조군, 츨발시점 4주, 28주 관찰 3) 전향적 다중 의료기관 관찰 연구, 두 가지 다른 자료를 활용하여서, 치료 결과를 침 시술자에 의한 모든 환자 평가 자료와, 열 두 명의 환자 가운데 한 명의 환자로부터 직접 받은 평가 자료 (관찰 출발시점, 치료 출발 시점, 치료 시작 후 6 개월) 실험공간: 1) and 2) 높은 수준의 수련을 한 침 시술 의사가 시술하는 병원이나 일차 진료기관의 외래. 3) 보건 의료 서비스내 저급의 침 시술 의사 (140 시간 수강, 학점 이수 필수) 참가자: 1) $4{\times}320$ 편두통의 예방, 긴장성 두통, 요통, 무릎과 고관절의 골관절염 환자 2) 480 편두통 환자(긴장성 두통 환자 추가적) 3) 약 500,000 환자, 2년 반 동안: 대략 한 적응증 당 10,000 환자 치료법: 모든 침치료 자리는 체침만 허용함. 1) 진짜 침은 학파의 지침에 따른 심자, 거짓 침은 비특이적 자리의 표피만 찌르는 자침 (12-15회, 8주): 대기자 대조군은 12주 동안에 아무 치료도 받지 않는다. 2) Group 1(N=240): 최대 15회 치료, 12주 동안: Group II (N=240) 투약 Proponolol (80-240mg), Metoprolol (100-200mg) or Flunarizin (5-10mg) 하루, 16주 이상 3) 치료회수와 침자리의 선정은 참가자가 결정 주된 임상 결과 지표: 1) 군 간의 치료 전 및 치료 진행 도중 4주 마다의 두통을 느낀 날 수의 차이 (평균 혹은 이상의 편두통이나 긴장성 두통) 2) 요통환자 군간의 기능을 측정하는 FFbH-R (Funktionsfragebogen Hannover) 비교 3) 관절염 환자의 군간 WOMAC 지표 비교 4) 군 간의 24주 동안 두통을 느낀 날 수의 차이(평균 혹은 이상의 편두통이나 긴장성 두통) 5) 적응증, 부작용, 성공율에 대한 거시적 평가, 사용한 침수, 환자의 만족도, SES(?). ADS(?) 통증 장애 지표(PDI), 삶의 질 지표(SF36). 예비 결과 위의 결과가 큰 관찰 연구에 초점을 맞추면서 소개될 것임.

• Journal of Korea Spatial Information System Society
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• v.4 no.2 s.8
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• pp.65-74
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• 2002

The CBD(component based development) method has recently been on the rise as the main current among all fields of developing Information Systems. The developing system by building and integrating of components is encouraged in GIS sphere. Business domain which considerably identifies components occupies GIS shpere rather then any other sphere. Arithmetic function is quite needed in GIS sphere but non-arithmetic functions are also used in GIS sphere as well as in enterprise sphere. Component is characterized by ensuring the reuse of itself. The efficiency of reusing component is promoted as the component is functionally simple and is packed to a minimum. The GIS Component Extraction Method has already been presented in several studies but this study is about the GIS Component Extraction by the Affinity Analysis Method. CBD uses UML on a basis and the core of the UML is consisted of the use case and the class. The purpose of the Affinity Analysis is a study how relate between the use case and the class in a certain business domain and then the results identify the component. The Affinity Analysis is useful not only in GIS but also in every business domain and is considered to be popular as the procedure of this method is not complex at all.

• The Journal of the Korea institute of electronic communication sciences
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• v.16 no.6
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• pp.1287-1294
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• 2021

This paper is a study on the implementation of a sensor-based smart compression system for improving home and street environments. Since modernization, the amount of garbage has been increasing every year, and this has seriously adversely affected not only people but also ecosystems such as marine pollution and soil pollution. In particular, in large cities with large floating populations, garbage is dumped on the streets without proper measures to deal with the amount of waste generated. In order to improve this problem, this paper intends to implement a system with automatic compression and opening/closing functions using sensors. This system is designed to activate automatic opening/closing function through an infrared sensor, and automatically opening and closing when the inclination is changed using an impact sensor. In addition, by installing a distance sensor, the amount of internal waste can be easily monitored from the outside, and a manual compression switch and a manual opening/closing switch is separately designed to enable opening and closing and compression as needed to increase the effectiveness.

• Design Convergence Study
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• v.16 no.5
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• pp.125-140
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• 2017

This study explores potential capability of a machine learning approach for monitoring urban morphology based on an evident case study. The case study conveys year 2006 investigations on interpreting urban morphology of Boston Main Streets by applying a machine learning approach. From the lesson of the precedent study, in 2016, another field research and interview was conducted to compare changes in urban situation, data commons culture, and technology innovation during the decade. This paper describes open possibilities to advance urban monitoring for morphological changes. Most of all, a multi-participatory data platform enables managing urban data system in real time. Second, collaboration with machines with artificial intelligence can intervene the framework of the urban management system as well as transform it through new demands of innovative industries. Recently, urban regeneration became a dominant urban planning strategy in Korean, therefore, urban monitoring is on demand. It is timely important to correspond to in-situ problems based on empirical research.

• Journal of the Korean Society of Radiology
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• v.79 no.6
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• pp.323-331
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• 2018

Purpose: The purpose of this study was to evaluate the effectiveness of thoracic paravertebral block (TPVB) for management of pain during and after percutaneous radiofrequency ablation (RFA) of hepatic tumor. Materials and Methods: All patients were divided into non-TPVB (4 patients, 4 sessions of RFA for 4 tumors) and TPVB group (5 patients, 7 sessions of RFAs for 7 tumors). Ultrasound (US)-guided TPVB was performed at T7 level. The 15 mL of 0.375% ropivacaine was injected into right paravertebral space before RFA. If patients complained pain and asked analgesics or experienced pain with verbal numerical rating scale (VNRS) of more than 4, fentanyl $25{\mu}g$ (up to $100{\mu}g$), pethidine 25 mg, and midazolam 0.05 mg/kg (up to 5 mg) were sequentially given intravenously during RFA. Results: Total intravenous morphine equivalence of analgesics before, during, and after RFA was 129.1 mg and 0.0 mg in non-TPVB and TPVB group, respectively. Conclusion: US-guided TPVB may be an effective and safe anesthetic method for decreasing or eliminating pain during and after RFA for hepatic tumor and helpful in decreasing the usage of opioids.

• Journal of the Korea Society for Simulation
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• v.32 no.3
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• pp.43-53
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• 2023

In this detailed and comprehensive study, our primary focus has been placed on accurately gauging the number of visitors and their real-time locations in commercial spaces. Particularly, in a real cafe, using security cameras, we have developed a system that can offer live updates on available seating and predict future congestion levels. By employing YOLO, a real-time object detection and tracking algorithm, the number of visitors and their respective locations in real-time are also monitored. This information is then used to update a cafe's indoor map, thereby enabling users to easily identify available seating. Moreover, we developed a model that predicts the congestion of a cafe in real time. The sophisticated model, designed to learn visitor count and movement patterns over diverse time intervals, is based on Long Short Term Memory (LSTM) to address the vanishing gradient problem and Sequence-to-Sequence (Seq2Seq) for processing data with temporal relationships. This innovative system has the potential to significantly improve cafe management efficiency and customer satisfaction by delivering reliable predictions of cafe congestion to all users. Our groundbreaking research not only demonstrates the effectiveness and utility of indoor location tracking technology implemented through security cameras but also proposes potential applications in other commercial spaces.

• Aerospace Engineering and Technology
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• v.3 no.2
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• pp.141-148
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• 2004

The importance of satellite data for numerous applications is stressed by the fact that many countries have given the development of space technologies very high priority. Among these, Korea has established a medium-term space development strategy to promote space development both on a scientific as well as commercial level. As part of this strategy, the first operational earth-observation, multi-purpose satellite(KOMPSAT-1) was launched successfully in December, 1999. The Electro-Optical Camera (EOC) on board of KOMPSAT-1 supplies panchromatic images with a spatial resolution of 6.6m Until April, 2004, it collected over 150.000 images of the Korean Peninsula and the rest of the world. This paper examines the use of remote sensing data to analyze urban growth in the city of Daejeon from 1960 to 2003. By using visual interpretation, land use maps are created.

• Journal of the Korea Society of Computer and Information
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• v.17 no.4
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• pp.51-58
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• 2012

Recently, 3D technology based on depth image is widely used in various fields including 3D space recognition, image acquisition, interaction, and games. Depth camera is used in order to produce depth image, various types of effort are made to improve quality of the depth image. In this paper, we suggests using area-based Canny edge detector to improve depth image in applying 3D technology based on depth camera. The suggested method provides improved depth image with pre-processing and post-processing by fixing image quality deterioration, which may take place in acquiring depth image in a limited environment. For objective image quality evaluation, we have confirmed that the image is improved by 0.42dB at maximum, by applying and comparing improved depth image to virtual view reference software. In addition, with DSCQS(Double Stimulus Continuous Quality Scale) evaluation method, we are reassured of the effectiveness of improved depth image through objective evaluation of subjective quality.

• Korean Journal of Remote Sensing
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• v.11 no.2
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• pp.1-16
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• 1995

This study is conducted to eveluate the potential of a GIS to assist an application problem. GIS has been applied to rainfall-runoff modeling over Soyang area. Various rainfall-runoff models have been developed over the years. A distributed rainfall-runoff model is selected because it considers the topographic characteristics over the basin. GIS can handle the spatial data to enhance the modeling. GRASS-a public domain GIS S/W-is used for GIS tools. Digital database is generated, including soil map, vegetation map, digital elevation model, basin and subbasin map, and water stream. The inpu data for the model has been generated and manupulated using GIS. The database, model and GIS are integrated for on-line operation. The inflow hydrographs are tested for the flood of Sept., 1990. This shows the promising results even without the calibration.