Earticle

InnovVizwas designed and developed anew as avisualization and simulationtool to present innovation and strategy information. The InnovViz system employs two key types of technology, namely mixed reality (MR) and neural network (NN). An experiment was conducted to examine the usability, acceptance and possible adoption of this new system. Participants comprised 4 experts from 4 top performing entrepreneurial firms and 161 master degree students from 2 leading universities. The study used a modified UTAUT model and a cognition and perception model. The results revealed that when the InnovViz was introduced, the key drivers to adoption are Facilitating Conditions (FC) and Voluntary to Use (VOL). Adequate knowledge and sufficient resources were found to strongly affect FC construct. The expert"fs rating of a firm"fs innovation and performance was more congruent with senior students with a technology-background than with a finance and accounting-background. InnovViz was seen as providing complex information with an ease of use and usefulness for showing data and assessment. Among the three types of visuals depicted by InnovViz, experts rated their usefulness in descending order as follows: Cube, Tetrahedron and Saturn. Finally, experts found backward simulation to be slightly more useful for assessment than forward simulation.

4차 산업화의 가속화로 인하여 우리 주변의 데이터가 급속도로 증가하였다. 이에, 데이터를 수집하는 것 이상으로 데이터 분석을 통해 얻어진 데이터의 성질과 의미를 보다 손쉽게 파악하고 데이터의 가치판단에 유연하게 적용 할 수 있어야 한다. 가시화 표현기술은 현재 많은 분야에서 관심을 받고 있다. 가시화는 데이터 분석 결과를 보다 쉽게 이해할 수 있도록 그래프, 차트 등으로 사용자가 보다 쉽게 데이터의 정보를 파악할 수 있어, 즉각적인 판단이 가능하게 하여 빠른 의사결정을 할 수 있도록 한다. 그중에서도 사용자들의 활용 가치가 높은 공공데이터를 활용한 가시화에 대한 관심도가 높다. 이에 본 논문에서는 가시화를 표현 할 수 있는 다양한 소프트웨어들 중에서 R 라이브러리와 R Studio를 활용하여 전국 자전거 보관소 설치 장소의 공공데이터를 가시화 하는 콘텐츠를 구현하였다.

Due to the acceleration of the 4th industrialization, the data around us rapidly increased. Therefore, it is necessary to be able to more easily grasp the nature and meaning of data obtained through data analysis than to collect data, and apply it flexibly to the value judgment of data. Visualization technology is now attracting attention in many fields. Visualization allows the user to more easily grasp the information of the data with graphs, charts, etc. so that the data analysis result can be understood more easily, so that the user can make an immediate judgment and make a quick decision. Among them, there is a high degree of interest in visualization using public data, which is highly useful to users. In this paper, we implemented R - library and R Studio to visualize public data at the installation sites of bicycle storage sites among various software that can express visualization.

본 연구는 산업현장에서 작업자의 숙련도에 맞추어 학습이 가능한 3D 가시화기술과 이를 바탕으로 하여 자동차 엔진을 구성하고 있는 각각의 부품들 사이의 관계를 설정하고 태스크 온톨로지를 이용하여 자동차 부품을 추천하는 방법을 제안한다. 복합지식을 네트워크 형태의 의미화된 링크와 노드로 구조화하고 3차원 형태로 보여줄 수 있도록 SOM을 이용한 가시화방법을 제안하였다. 또한, is-a Relationship 기반 hierarchical Taxonomy를 이용하여 자동차 엔진을 구성하고 있는 각각의 부품들 사이의 관계를 설정하고, 가중치를 이용한 추천이 이루어 질 수 있도록 하였다. 3D 공간상에 복합지식을 배치하고 사용자에게 제공함으로써 보다 실감적이고 직관적인 네비게이션의 기회를 제공하고, 임의의 자동차 부품을 선택했을 때 해당 부품과 밀접한 관계를 가진 부품을 추천하여 특별한 전문 지식 없이도 손쉽게 자동차 부품의 조립 및 쓰임새와 중요성을 알 수 있게 해준다.

The purpose of this study is to set the relationship between each parts that forms the engine of an automobile based on the 3D visualization technology which is able to be learned according to the skill of the operator in the industry field and to recommend the auto parts using a task ontology. A visualization method was proposed by structuring the complex knowledge by signifying the link and the node in forms of a network and using SOM which can be shown in the form of 3 dimension. In addition, by using is-a Relationship-based hierarchical Taxonomy setting the relationship between each of the parts that forms the engine of an automobile, to allow a recommendation using a weighted value possible. By providing and placing the complex knowledge in the 3D space to the user for an opportunity of more realistic and intuitive navigation, when randomly selecting the automobile parts, it allows the recommendation of the parts having a close relationship with the corresponding parts for easy assembly and to know the importance of usage for the automobile parts without any special expertise.

Visualization of construction information improves learning and understanding of construction information and helps efficient process management. However, existing BIM-based process management is difficult to reflect accurate processes and process rates in the field. Moreover, it is impossible to provide the information necessary for decision-making in a timely manner. To solve this problem, this study proposes a process management visualization process using BIM-based mixed reality technology. The specific improvements via the proposed process for this study were as follows: (1) interworking of BIM with process plan information, (2) visualization in MR environment. Through this study, it was confirmed that effective construction review is possible in the construction progress and actual construction sites. The results of this study are expected to contribute to the active introduction of BIM and MR technologies by construction companies and productivity improvement in the future.

이 연구는 도심지 시설물 붕괴현장에서의 매몰자의 위치정보 탐지 및 제공 방법론을 제시하는데 목적이 있다. 도심지 붕괴사고는 지진, 테러, 화재 등 다양한 상황에서 발생가능하기 때문에 사고발생 시 매몰된 사람들을 구조하기 위해 매몰자의 위치를 확인하는 노력들이 반드시 필요하다. 따라서 이 연구에서는 재난발생 이후에 신속하고 안전한 매몰자 구호를 위해 다음과 같은 방법론을 제시하였다. 첫째, 기존 매몰자 탐지방식이 갖고 있는 문제점을 분석하고 구조자의 2차 붕괴사고로부터 안전 확보와 신속한 탐지를 위해 무인비행장치(드론)를 제안하였다. 둘째, 도시민 대다수가 소지하고 있는 스마트폰의 Wi-Fi를 활용하여 위치정보를 취득할 수 있도록 무선통신모듈을 개발하였다. 셋째, 무선통신기반 스마트폰 감지 모듈과 연동되는 매몰자 탐지 시스템을 구현할 수 있는 운용프로그램을 개발하였다. 넷째, 매몰자의 위치정보를 2차원 맵 상에 가시화하였으며, 개발된 장비 및 시스템에 대하여 현장검증 테스트를 실시하였다. 이와 같은 방법론을 토대로 알고리즘 개발과 함께 패키지화된 장비 개발을 통해 실제 현장에 적용 시, 인명구호작업에 큰 도움이 될 것으로 판단된다.

The aim of this study is to suggest methodologies of location detection and information provision for buried victims in the collapsed area. Since the collapse accidents in urban areas can occur in diverse disaster environments such as earthquake, terrors and fire, it is essential to identify the location of buried victims for rapid and safe rescue. For this purpose, this study presented the following methodologies: First, we developed a wireless communication module that can acquire location information by using WiFi in smartphones possessed by a majority of urban residents in Korea and then built an operation program that can implement a detection system for buried victims. Second, the location information of buried victims was visualized on the two-dimensional map and tested for verification on fields. Based on the suggested methodologies, if a packaged equipment is developed along with the algorithm, it is expected that these technologies will be helpful in rescuing buried victims rapidly.

일반적으로 산성은 사찰, 가마터, 주거지와 달리 유구가 드러나 있어 상대적으로 조사는 쉽다. 다만 규모가 있고 산림 속에 있어 지상 조사만으로는 전체적인 형태를 확인하기는 어렵다. 해외에서는 LiDAR를 활용하여 밀림 속의 정착지나 도로와 같은 유적을 확인한 사례는 많이있다. 그러나 국내에서 지금까지 관련 사례는 거의 없는 실정이다. 항공 고고학 분석 방법이고지형분석이란 이름으로 도입해서 충적지 및 훼손 성벽을 추정 · 복원한 사례가 있으나 LiDAR를활용한 원격 탐사 연구는 현재 거의 없는 실정이다. 이에 본 연구에서는 예산군 소재 예산산성을 대상으로 LiDAR를 활용한 시각화를 시도하였다. 객관적인 고고학적 정보를 제공하기 위해 이미지 시각화 및 GIS 기술을 활용하여 LiDAR 데이터를가공하였다. 결과를 근거로 예산산성의 전체적인 경관을 조망하고 기존 발굴 보고서와의 비교를통해 LiDAR 활용방안에 대한 연구방법을 제시하였다. LiDAR를 이용한 연구는 접근도가 떨어지는 원격지 혹은 삼림 등에 분포하는 유적의 형태를파악할 수 있게 한다. 특히 다양한 종류의 자연적, 인공적 장애물에도 불구하고 지표면의 건축물을발견하고 특정 대상을 관찰할 수 있는 LiDAR의 속성은 관련 연구자에게 기술적 객관성을 제공해줄 수 있다. 이는 국토 대부분이 산지로 이루어진 한국의 지형적 특성에 효과적으로 활용될 수 있을 것이다.

In general, mountain fortresses are relatively easy to investigate, unlike temples, kilns, and dwellings, as the remains are exposed. However, it is difficult to confirm the overall shape only by ground survey because it is large and is located in the forest. Overseas, there are many examples of using LiDAR to identify ruins such as settlements or roads in the jungle. However, there are few related cases in Korea so far. Although there are cases in which aerial archeology analysis method was introduced under the name of paleomorphological analysis and estimated and restored alluvial sites and damaged walls, there are currently few remote sensing studies using LiDAR. In this paper, we attempted to restore the historical landscape using LiDAR for Yesan Mountain Fortress located in Yesan-gun. LiDAR data was processed using image visualization and GIS technology to provide objective archaeological information. Based on the results, the overall landscape of Yesan Mountain Fortress was viewed and a research method for LiDAR utilization was presented through comparison with existing excavation reports. Research using LiDAR makes it possible to grasp the shape of ruins distributed in remote areas or forests with poor access. In particular, the property of LiDAR, which can detect buildings on the ground surface and observe specific objects despite various types of natural and artificial obstacles, can provide technical objectivity to related researchers. This can be effectively utilized for the topographical characteristics of Korea, where most of the land is mountainous.

For the contradictory issues of the transmission rate and flexibility in the current temperature system, this paper puts forward a novel fast rate, high flexibility, and visualization monitor system, and presents its architecture principle design and software-hardware of the whole system. Controller area network (CAN) bus acting as multi-host and high-speed field bus is selected to design the distributed communication system, ZigBee technology based on CC2530 and embedded system centered with ARM Cortex-M3 microprocessor STM32F103VET6 are selected to design the flexible data acquisition network, and embedded Ethernet is select to design remote and distributed monitoring. Based on the distributed system, visual monitoring software is developed; it can achieve data display, data query, and real-time monitoring and give an early alarming of accidents caused by temperature. After a number of experiments show that the system is stable, temperature flexible, highly real-time, and the temperature measurement accuracy can be up to 99.37%.

In recent years, the research of concrete based on CT Images has been popular. A new modified Ray-casting on VTK aims to solve the poor effect on 3-D reconstruction of concrete CT image, which has great influence on the construction of accurate 3-D meso-concrete numerical model. Owing to this result, A new tech-VTK system came into being to get improvement and development. What is more, it can achieve visualization. It is tested that the method in this dissertation is more effective and accurate meanwhile it will help to build the construction of concrete material numerical model.

When English language teachers are deciding on their priorities for teaching pronunciation, it is imperative to know what kind of differences and errors are most likely to interfere with communication, and what special problems particular first-language speakers will have with English pronunciation. In other words, phoneme discrimination skill is an integral part of speech processing for the EFL learners' learning to converse in English. Training using sound visualization technique can be effective in improving second language learners' perceptions and productions of segmental and suprasegmental speech contrasts. This study assessed the efficacy of a pronunciation training that provided visual feedback for EFL learners acquiring pitch and durational contrasts to produce and perceive English phonemic distinctions. The subjects' ability to produce and to perceive novel English words was tested in two contexts before and after training; words in isolation and words in sentences. In comparison with an untrained control group, trainees showed improved perceptual and productive performance, transferred their knowledge to new contexts, and maintained their improvement three months after training. These findings support the feasibility of learner-centered programs using sound visualization technique for English language pronunciation instruction.

The key role in safety management is to identify any possible hazard before it occurs by identifying any possible risk factors which are critical to risk assessment. It is well known that falsework (temporary facilities) in construction projects is fundamentally important. This planning/assessment process is considered to be tedious and requires a lot of attention due to the following reasons: firstly, the installation and dismantling of those facilities are one of the high risk activities in the job sites. Secondly, temporary facilities are generally not clearly delineated on the building drawings. Therefore, it is our strong belief that safety tools have to be simple and convenient enough for the jobsite people to manage them easily and be flexible for any occasions to be occurred at various degrees. In order to develop a safety identification system of temporary facilities, this research utilizes the BIM technology in retrieving important information by importing data from BIM models and use it in the safety planning stage.

In this work, a small pit on the internal surface of an aluminum thin-walled shell was inspected by using a technology of ultrasonic propagation visualization. This technology employs laser scanning within an inspection area to excite ultrasonic Lamb waves, and three cheap lead zirconate titanate (PZT) sensors to receive the wave signals. The laser scanning area and the three PZT sensors were located on the outside surface of the shell. Betti's reciprocal theorem was further incorporated into the present technology to visualize the wave propagation in the time-domain. The occurrence of notable scattering around the pit identified from the wave propagation snapshots at different time points can be used to detect the pit damage easily. We further adopted a method based on wave energy flow (WEF) map concept proposed by us to evaluate the size and shape of the pit. It was found that, even using a fast laser scanning of a step size of 8 mm, the present technology can still detect the damage quickly, and evaluate the damage accurately.

Tissue clearing technology is currently one of the fastest growing fields in biomedical sciences. Tissue clearing techniques have become a powerful approach to understand further the structural information of intact biological tissues. Moreover, technological improvements in tissue clearing and optics allowed the visualization of neural network in the whole brain tissue with subcellular resolution. Here, we described an overview of various tissue-clearing techniques, with focus on the tissue-hydrogel mediated clearing methods, and discussed the main advantages and limitations of transparent tissue for clinical diagnosis.

InnovVizwas designed and developed anew as avisualization and simulationtool to present innovation and strategy information. The InnovViz system employs two key types of technology, namely mixed reality (MR) and neural network (NN). An experiment was conducted to examine the usability, acceptance and possible adoption of this new system. Participants comprised 4 experts from 4 top performing entrepreneurial firms and 161 master degree students from 2 leading universities. The study used a modified UTAUT model and a cognition and perception model. The results revealed that when the InnovViz was introduced, the key drivers to adoption are Facilitating Conditions (FC) and Voluntary to Use (VOL). Adequate knowledge and sufficient resources were found to strongly affect FC construct. The expert's rating of a firm's innovation and performance was more congruent with senior students with a technology-background than with a finance and accounting-background. InnovViz was seen as providing complex information with an ease of use and usefulness for showing data and assessment. Among the three types of visuals depicted by InnovViz, experts rated their usefulness in descending order as follows: Cube, Tetrahedron and Saturn. Finally, experts found backward simulation to be slightly more useful for assessment than forward simulation.

Neutron imaging technique was used to investigate the water distribution and movement in Polymer Electrolyte Membrane Fuel Cell (PEMFC) at HANARO, KAERI. The Feasibility tests were performed in the first and second exposure rooms at the neutron radiography facility (NRF) at HANARO in order to check the ability of each exposure room, respectively. The feasibility test apparatus was composed of water and pressurized air before making up the actual test apparatus. Due to the low neutron intensity in the second exposure room, the exposure time was too long to investigate the transient phenomena of PEMFC. Although the exposure time was improved to 0.1 sec in the first exposure room, it was difficult to discriminate detail water movement at the channel due to the high noise level. Therefore, the experimental setup must be optimized according to the test conditions. Water discharge characteristics were investigated under different flow field geometries by using feasibility test apparatus and the neutron imaging technique. The water discharge characteristics of a 3-parallel serpentine are superior to those of a 1-parallel serpentine, but water at Membrane Electrode Assembly (MEA) was not removed, regardless of the flow field type.

Fuel behavior in the intake port has not been fully understood due to the complexity of fuel film behavior, although many researches have been carried out to identify the fuel transport phenomena in the port fueled gasoline engines. In this paper. FRFID and visualization method are used in order to study on the fuel transport behavior. That is, the relationship between the control logic and uHC emission is analyzed by using FRFID, and fuel spray patterns and wall wetted fuel are visualized by using the visioscope. Through these methods, the characteristic of uHC emission is analyzed on steady (uHC concentration at idle is emitted about $100\%$ higher than that at 2000rpm, bmep=2.0 bar) and transient (uHC emission is increased at rapid deceleration and fuel cut) condition including rapid acceleration/deceleration. Also, wall wetted fuel corresponding to coolant temperature is measured. In the case which the coolant temperature is 30 degree, fuel wetting is increased above $190\%$ compared with that at fully warm up. And, the design parameters of the intake manifold to decrease the fuel wetting are considered by visualization.

This research developed a measurement technique that can measure the oxygen temperature inside a high temperature furnace. Instead of measuring only changes in frequency components within a small range used in the existing variable laser absorption spectroscopy, laser spectroscopy technology was used to spread out wavelength of the light source passing through the gas Based on a total of 20,000 image data, research was conducted to predict the temperature of a high-temperature furnace using CNN with black and white images in the form of spectral bands by temperature of 25 to 800 degrees. The optimal model was found through Hyper parameter optimization, R2 score is 0.89, and the accuracy of the test data is 88.73%. Based on this research, it is expected that concentration measurement and air-fuel ratio control technology can be applied.

도시기반 라이프라인은 지진발생시 시설물의 붕괴뿐만 아니라 붕괴로 인한 도시기능 마비, 대형화재와 같은 2차 피해를 동반하여 막대한 사회 경제적 손실을 야기할 것으로 예측된다. 이에 대한 대비책으로 국내에서는 지진재해대응시스템을 운영 중이며, 지진재해대응시스템은 각 시설물별 지진취약도 모델을 통해서 시설물의 파괴확률을 산정하고, 지진재해 정도를 평가한다. 따라서 본 논문에서는 국내 지반특성을 고려하여 도시기반 라이프라인 시설물 중 매설가스배관의 시간이력 해석을 수행하였고, 확률론적인 해석방법인 최우도추정법을 이용하여 지진취약도 모델을 개발하였다. 해석모델은 국내 대표도시인 서울지역에 매설된 고압관과 중압관으로 선정하였으며, 지반의 모델링은 Winkler foundation 모델을 이용하였다. 또한 개발된 취약도 모델의 GIS 적용방안을 제시하였다.

City-based Lifeline is expected to cause significant social and economic loss accompanied the secondary damage such as paralysis of urban functions and a large fire as well as the collapse caused by earthquake. Earthquake Disaster Response System of Korea is being operated with preparation, calculates the probability of failure of the facility through Seismic Fragility Model and evaluates the degree of earthquake disaster. In this paper, the time history analysis of buried gas pipeline in city-based lifeline was performed with consideration for ground characteristics and also seismic fragility model was developed by maximum likelihood estimation method. Analysis model was selected as the high-pressure pipe and the normal-pressure pipe buried in the city of Seoul, Korea's representative, modeling of soil was used for Winkler foundation model. Also, method to apply developed fragility model at GIS is presented.

본 논문에서는 도심지 지하 발파에 대한 영향 분석을 효율적으로 하기 위해 터널 굴착 시 발파영향에 대해 계측데이터와 연계하여 3차원 BIM 모델 데이터를 작성한 후 인프라 전체의 상호 영향을 고려한 시각화 방안을 제안한다. 이를 위해 시각화에 필요한 BIM 모델링 수준을 정의하였고 GTX-A구간 대상으로 진동계측 데이터 수집, 지형 및 구조물 BIM 작성, 발파진동추정식을 활용한 계측데이터 시각화 방식을 개발하였다. 발파영향원 시각화를 위해 구 형태의 발파영향원 라이브러를 개발하였고 Revit Dynamo 자동화 로직 연동이 가능한 제원표를 구성하였으며 이를 통해 발파진동 영향분석을 3차원으로 쉽게 시각화 하는 방안을 제시하였다. 텍스트 중심의 발파진동 영향분석을 3D로 시각화된 입체적인 방식으로 검토할 수 있어 발파진동 설계 및 민원대응에 용이할 것으로 판단된다.

We propose a visualization method to respond to civil complaints through an analysis of the impact of blasting. In order to analyze the impact of blasting on tunnel excavation, we propose a simulation visualization method considering the mutual influence of the construction infrastructure by linking measurement data and 3D BIM model. First, the level of BIM modeling required for simulation was defined. In addition, vibration measurement data were collected for the GTX-A construction site, terrain and structure BIM were created, and a method for visualizing measurement data using blast vibration estimation was developed. Next, a spherical blasting influence source library was developed for visualization of the blasting influence source, and a specification table that could be linked with Revit Dynamo automation logic was constructed. Using this result, a method for easily visualizing the impact analysis of blasting vibration in 3D was proposed.

본 논문은 2개의 포즈(위치 및 회전) 추적 센서를 사용하여 마네킹 모델위에 3차원의 가상 인체를 증강하는 모바일 증강 가시화 기술에 대해서 소개한다. 증강 가시화를 위해 사용된 종래의 카메라 트래킹 기술은 카메라 영상을 사용하기 때문에 카메라의 떨림이나 빠른 이동시 카메라의 포즈 계산에 실패하는 단점이 있으나, 바이브 트래커를 이용하게 되면 이러한 단점을 극복할 수 있다. 또한 증강하고자 하는 객체인 마네킹의 위치가 바뀌거나 회전을 하게 되더라도 마네킹에 부착된 포즈 추적 센서를 사용하여 증강 가시화가 가능한 장점이 있으며 무엇보다 카메라 트래킹을 위한 부하가 없다는 장점을 가진다.

This paper introduces a mobile augmented visualization technology that augments a three-dimensional virtual human body on a mannequin model using two pose(position and rotation) tracking sensors. The conventional camera tracking technology used for augmented visualization has the disadvantage of failing to calculate the camera pose when the camera shakes or moves quickly because it uses the camera image, but using a pose tracking sensor can overcome this disadvantage. Also, even if the position of the mannequin is changed or rotated, augmented visualization is possible using the data of the pose tracking sensor attached to the mannequin, and above all there is no load for camera tracking.

The recent 3D visualization such as volume rendering, iso-surface rendering or stream line visualization gives more understanding about structures or distribution of data in a space and, moreover, the real-time rendering of a scene enables the animation of time-series data. Because the meteorological data is frequently formed as multi-variables, 3-dimensional and time-series data, the spatial analysis, time-series analysis, vector display, and animation techniques can do important roles to get more understanding about data. In this research, our aim is to develop the 3-dimensional visualization techniques for meteorological data in the PC environment by using IDL. The visualization technology from :his research will be used as basic technology not only for the deeper understanding and the more exact prediction about meteorological environments but also for the scientific and spatial data visualization research in any field from which three-dimensional data comes out such as oceanography, earth science, or aeronautical engineering.