공항 활주로의 균열 및 파손은 항공기의 이착륙 시 발생하는 충격과 기체의 엔진에서 발생하는 열, 그리 고 외부환경조건 등과 같은 다양한 요인으로 인해 발생하게 된다. 활주로 포장 파손이 결과적으로 기체에 악영향을 미칠 수 있기 때문에 적절한 유지보수가 신속히 이루어져야 한다. 포틀랜드 시멘트 콘크리트의 경우 우수한 강도와 내구성능, 구조적 특성, 그리고 경제성과 같은 장점을 지니고 있기 때문에 유지보수 재료로 활발히 사용되고 있으나, 낮은 인장강도와 접착강도로 인해 보수재료 자체에 균열이 발생하거나 기 존 포장과 새로 타설된 재료의 계면 사이에서 조기 균열이 발생하여 추가적인 유지보수를 진행해야하는 상 황이 발생할 수 있다. 이러한 기존 시멘트 콘크리트의 단점을 개선하고자 새로운 포장 재료에 대한 연구가 많은 학자들에 의해 진행되어왔으며, 대표적인 재료로는 시멘트 수화물이 아닌 에폭시와 같은 고분자 재료 가 결합재를 대신하는 폴리머 콘크리트(Polymer concrete)가 있다. 폴리머 콘크리트의 경우 우수한 내약 품성과 기계적 물성, 그리고 빠른 경화시간을 가지기 때문에 신속한 시공이 요구되는 활주로 유지보수 분 야에 적합하나, 기존 포장 재료와 상이한 열팽창계수로 인해 환경하중이 반복되는 동안 보수재료보다 강도 가 낮은 기존 포장 부분에서 파손이 발생할 수 있으므로 이를 미리 예측할 수 있는 모니터링 시스템의 구 축이 필요하다. 또한, 다양한 하중조건과 외부 온도조건에 노출되는 보수부의 특성상 구조물의 파손과 내 구성능의 저하를 효과적으로 모니터링 할 수 있는 기술의 필요성이 이전부터 제시되어왔다.

This paper presents a parallel kd-tree traversal algorithm based on the parallel binary radix tree construction scheme proposed by Tero Karras in 2012. In his paper, Tero Karras proposed parallel tree construction algorithm which can maximize the utilization of GPU threads, but implementation and analysis of kd-tree are not fully discussed. This paper aims to fill the gap for the specific kd-tree cases. As an application for the kd-tree traversal method proposed in this paper, the proposed method has been implemented with NVIDIA’s CUDA framework and tested on NVIDIA’s realtime raytracing library, OptiX. As a result, the proposed method can construct tree structures within the requirement for realtime process, but still needs specialized spatial caching data structure like the “primitive tree” for highly detailed meshes to handle spatial queries as fast as to visualize implicit surfaces under OptiX framework. However, the proposed method can be applied to dynamic collision detection and manage scene and object information for game applications thanks to its fast tree construction process. Also, realtime raytracing can be applied to game applications based on this study.

Air compressor is an important facility with electric power in the industry. However, because of the noise and vibration of air compressor and is installed outside the building management difficulty. In this study, MCP (Micro Control Processor) to remote monitoring of the air compressor via the compressed air through improved quality and allows stable maintenance were designed. So, increase the productivity improvement of energy-saving effect can be obtained. Remote real-time information stored on your PC to manage air compressor equipment was higher reliability. Monitoring system is developed in this study was applied to embedded systems. It is easy to install air compressor, and low maintenance costs was to raise the economic impact.

Location based service and AR(Augmented Reality) techniques have been one of the most important areas in current computer games and mobile application. This paper presents GPU(Graphics Process Unit) based image recognition system for outdoor games and mobile application. In learning stage, we extract features from input image sequence and convert them into meta information in database. User captures then a query image that is sent to GPU based server system. The proposed system build a descriptor codebook using BRISK and SURF descriptors, and employs codebook with re-ranking information based on homography.

In industrial facilities sites, the conventional method determining the earthquake magnitude (M) using earthquake ground-motion records is generally not applicable due to the poor quality of data. Therefore, a new methodology is proposed for determining the earthquake magnitude in real-time based on the amplitude measures of the ground-motion acceleration mostly from S-wave packets with the higher signal-to-ratios, given the Vs30 of the site. The amplitude measures include the bracketed cumulative parameters and peak ground acceleration (As). The cumulative parameter is either CAV (Cumulative Absolute Velocity) with 100 SPS (sampling per second) or BSPGA (Bracketed Summation of the PGAs) with 1 SPS. The arithmetic equations to determine the earthquake magnitude are derived from the CAV(BSPGA)-As-M relations. For the application to broad ranges of earthquake magnitude and distance, the multiple relations of CAV(BSPGA)-As-M are derived based on worldwide earthquake records and successfully used to determine the earthquake magnitude with a standard deviation of ±0.6M.

Workers are avoiding production/manufacturing sites due to the poor working environment and concern over safety. Small and medium-sized businesses introduce new equipment to secure safety in the production site or ensure effective process management by introducing the real-time monitoring technique for existing equipment. The importance of real-time monitoring of equipment and process in the production site can also be found in the ANSI/ISA-195 model. Note, however, that most production sites still use paper-based work slip as a process management technique. Data reliability may deteriorate because information on the present condition of the production site cannot be collected/analyzed properly due to manual data writing by the worker. This paper introduces the monitoring and process management technique based on a direct facility interface to secure safety in the field by improving the poor working environment and enhance there liability and real-time characteristics of the production data. Since the data is collected from equipment in real-time directly through the SIB-based interface and PLC-based interface, problems associated with workers’ manual data input are expected to be solved; safety can also be improved by enhancing workers’ attention to work by minimizing workers’ injuries and disruption.

The aim of this study is to design an intelligent pattern-based real-time trading system (PRTS) using rough set analysis of technical indicators, dynamic time warping (DTW), and genetic algorithm in stock futures market. Rough set is well known as a data-mining tool for extracting trading rules from huge data sets such as real-time data sets, and a technical indicator is used for the construction of the data sets. To measure similarity of patterns, DTW is used over a given period. Through an empirical study, we identify the ideal performances that were profitable in various market conditions.

본 연구에서는 한국해양대학교 실습선 한바다를 이용하여 선박의 입․출항 및 약 150 rpm의 정속 운항 할 때 주기관에서 배출되는 배기가스를 실시간 계측하였다. 실측 결과 질소산화물의 농도는 정속 운항시 800 ppm 에서 1,000 ppm 사이인데 반해, 입․출항시에는 210 ppm 에서 1,230 ppm 까지 큰 범위에서 값이 변화하였다. 일산화탄소의 농도 역시 정속운항 상태 보다 입․출항시 측정값의 변화가 크게 나타났다. 이러한 결과는 입․출항시 가능한 한 주기관의 부하변동이 급격히 발생되지 않도록 하는 선박 조종 스킬이 필요하다는 것을 의미한다. 또한, 배기가스 저감 기술의 적용에 있어 입․출항시와 정속 운항할 때 그 차이를 고려할 필요가 있다는 것을 나타낸다.

최근 지구물리 물리탐사 분야에서 경사각과 방위각 정보는 시추공 물리검층 및 물리탐사 자료보정을 위한 시추공 편차검층, 이동형 실시간 자료획득 시스템, 기타 지구물리 모니터링 시스템 등 다양하게 활용되면서 그 중요성이 높아지고 있다. 특히 최근 셰일가스의 개발이 가능하게 한 방향시추 기술에서도 경사각과 방위각 정보는 필수일 정도로 그 응용범위가 매우 넓다. 따라서 여러 분야에 응용될 수 있는 경사각과 방위각 측정 시스템의 초소형 옥외 저전력 운용이 절실해졌다. 본 논문에서는 최신 CMOS 저전력, 고성능 MCU 및 멤스(MEMS) 자세방위기준장치(AHRS)를 도입하여 초소형, 저전력으로 제작된 다용도 야외시험용 실시간 경사각과 방위각 연속 측정 시스템 개발 연구의 결과를 제시하고자 한다. 시스템은 최소 지름 42 mm의 존데 내에 설치될 수 있도록 초슬림 형태로 제작되었으며 실시간 데이터 획득이 가능할 뿐만 아니라 엔코더, DGPS 연동으로 운용 확장이 가능하여 다양한 응용이 기대된다.

On the ultra-high speed broadband internet network transferring the massive multi-media data, the rapid restoration is very important. The online game industry is also fast growing with supporting of the real-time online network game. The online traffic on the internet network is steadily increasing. The optical based broadband convergence network provides these kinds of services. It is a form of multilayer network which loads the IP traffic on the lower optical DWDM. The failure of the link and node on this kind of network causes the significant loss of data. To solve this kind of problem, the new approach over the conventional one is necessary. It turned out to be its failure recovery thirty-five percent faster

Real-time data reduction pipeline for the Korea Microlensing Telescope Network (KMTNet) was developed by Korea Astronomy and Space Science Institute (KASI). The main goal of the data reduction pipeline is to find variable objects and to record their light variation from the large amount of observation data of about 200 GB per night per site. To achieve the goal we adopt three strategic implementations: precision pointing of telescope using the cross correlation correction for target fields, realtime data transferring using kernel-level file handling and high speed network, and segment data processing architecture using the Sun-Grid engine. We tested performance of the pipeline using simulated data which represent the similar circumstance to CTIO (Cerro Tololo Inter-American Observatory), and we have found that it takes about eight hours for whole processing of one-night data. Therefore we conclude that the pipeline works without problem in real-time if the network speed is high enough, e.g., as high as in CTIO.

The trend is going to obtain the accurate and fast information to the development of information technology and electronic technology as an important part of corporate management. Press equipment to produce products that target is small and medium businesses. Became so economical real-time production information system(R-PIS) model has been implemented. R-PIS configure the embedded hardware and PC application software. This system is easy maintenance and upgrade that general-purpose PC and a modular hardware devices. Consists of modules such as wireless communication, LCD, Key-pad, memory control, and sensor signal. R-PIS is efficient materials and product management to maximize the productivity of the enterprise.