• 제목/요약/키워드: technology map

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Predicting the Application of Huawei Augmented Reality on Media Façade: Using the TAM Model

  • Chen, Yan;Liu, Shanshan;Lee, Jong Yoon
    • International Journal of Contents
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    • 제18권2호
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    • pp.32-46
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    • 2022
  • In recent years, large-scale and high-density use of LED on facades has exposed some disadvantages, such as light pollution, high energy consumption, unsustainability, and poor interactivity. Because of the development of smartphones and augmented reality (AR), AR has emerged as a new technology available to users to interact with the media façade. As an augmented reality app for public space, the AR map app can superimpose virtual images on the surface of a building to form an AR media façade, which can be applied in the fields of navigation, advertising, interactive public art, smart retail, etc. This study establishes the variables influencing usage intention and the consequent outcomes of Huawei AR map app and uses the technology acceptance model (TAM) to discuss their relationship. Results show that consumer innovativeness, information quality, and design quality have a strong influence on perceived ease of use. Information quality has a positive impact on perceived usefulness, but design quality has a weak influence. Also, the design quality of Huawei AR map app and consumer innovativeness have a higher effect on perceived enjoyment than information quality. Users' usage attitude and perceived usefulness when using Huawei AR map app are key factors determining their usage intention. This study inspires city planners, architects, developers, and designers of AR apps that augmented reality can partly replace media façade, and that investment in augmented reality will achieve significant sustainable economic and social benefits.

AR-based 3D Digital Map Visualization Support Technology for Field Application of Smart Construction Technology

  • Song, Jinwoo;Hong, Jungtaek;Kwon, Soonwook
    • 국제학술발표논문집
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    • The 9th International Conference on Construction Engineering and Project Management
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    • pp.1255-1255
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    • 2022
  • Recently, research on digital twins to generate digital information and manage construction in real-time using advanced technology is being conducted actively. However, in the construction industry, it is difficult to optimize and apply digital technology in real-time due to the nature of the construction industry in which information is constantly fluctuating. In addition, inaccurate information on the topography of construction projects is a major challenge for earthmoving processes. In order to ultimately improve the cost-effectiveness of construction projects, both construction quality and productivity should be addressed through efficient construction information management in large-scale earthworks projects. Therefore, in this study, a 3D digital map-based AR site management work support system for higher efficiency and accuracy of site management was proposed by using unmanned aerial vehicles (UAV) in wide earthworks construction sites to generate point cloud data, building a 3D digital map through acquisition and analysis of on-site sensor-based information, and performing the visualization with AR at the site By utilizing the 3D digital map-based AR site management work support system proposed in this study, information is able to be provided quickly to field managers to enable an intuitive understanding of field conditions and immediate work processing, thereby reducing field management sluggishness and limitations of traditional information exchange systems. It is expected to contribute to the improvement of productivity by overcoming factors that decrease productivity in the construction industry and the improvement of work efficiency at construction sites.

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Atomisation and vacuum drying studies on Malaysian honey encapsulation

  • Nurul Aisyah Rosli;Boon-Beng Lee;Khairul Farihan Kasim;Che Wan Sharifah Robiah Mohamad
    • 한국식품저장유통학회지
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    • 제30권4호
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    • pp.589-601
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    • 2023
  • Malaysian honey is rich in nutrients and bioactive compounds, which can be a healthy alternative to refined sugar in food production. However, liquid honey's viscous and sticky nature makes it unpreferable in industrial handling. This study, an atomization system coupled with vacuum drying to produce honey powders to overcome the problem. Three types of Malaysian honey, namely Acacia, Gelam, and Tualang, were encapsulated in Ca-alginate gel beads using the atomization system. The density viscosity, and surface tension of the honey-alginate solutions were measured, and the concentration of honey and alginate influenced the physical properties of the solutions. Honey-encapsulated gel beads in the size range of 2.16-2.92 mm were produced using the atomization system with the air-liquid mass flow rate ratios of 0.22-0.31, Weber number (We) of 112-545, and Ohnersorges number (Oh) of 0.35-10.46. Gel bead diameter can be predicted using a simple mathematical model. After vacuum drying, the honey gel powder produced was in the size range of 1.50-1.79 mm. Results showed that honey gel powders with good encapsulation efficiency and high honey loading could be produced using the atomization system and vacuum drying.

Node.js를 활용한 웹GIS 서버의 설계와 구현 (Design and Implementation of Web GIS Server Using Node.js)

  • 전상환;도경태
    • Spatial Information Research
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    • 제21권3호
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    • pp.45-53
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    • 2013
  • 웹GIS는 수년 동안 사용자들에게 효율적이고 정확한 공간정보를 제공하기 위해 최신 웹기술을 기반으로 발전해왔다. 또한 웹GIS 서버는 클라이언트의 요청을 빠르게 연산 처리하고 공간정보 서비스를 제공하기 위해 성능개선을 지속해왔다. 본 연구에서는 서버 개발에 자바스크립트(JavaScript)를 사용하는 이벤트 기반의 비동기식 I/O 처리가 가능한 프레임웍 기술인 Node.js를 활용하여 NodeMap이라고 이름붙인 웹GIS 서버를 설계하고 구현하였다. NodeMap은 기본적으로 OGC 표준 인터페이스를 지원하는 웹GIS 서버이다. 이를 위해 공간 인덱스 및 표준 공간쿼리 함수를 지원하는 DBMS를 활용하여 GIS 데이터를 처리하도록 하였다. 그리고 공간 정보를 타일 맵 위에 렌더링 하기 위해 HTML5 Canvas를 지원하는 Node-Canvas 모듈을 활용하였다. 마지막으로 Node.js의 가장 많이 쓰이는 커넥트 모듈 기반의 프레임웍인 Express 모듈을 활용하였다. 구현된 NodeMap은 성능테스트를 통해 향 후 웹GIS 서버개발기술로서 Node.js의 활용 가능성을 확인하였다. 본 연구를 통해 기존 서버 개발 기술과 차별화된 기술인 Node.js를 웹GIS 서버 구현에 우선적용 함으로서 향 후 인터넷 GIS 서비스에서의 활용 가능성을 제시하였다.

정밀도로지도 제작을 위한 Web GIS 기반 HD Map 프로토타입 구축 연구 (A Study on Building the HD Map Prototype Based on Web GIS for the Generation of the Precise Road Maps)

  • 권용하;정윤재;조현지;구본엽
    • 한국지리정보학회지
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    • 제24권2호
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    • pp.102-116
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    • 2021
  • 4차 산업혁명의 대표라고 할 수 있는 자율주행차량의 안전한 운행을 위해서는 센서 기술, 소프트웨어 기술, 차량 기술 등 다양한 기술 조합이 필요하다. 자율주행차량은 차량 내에 탑재된 다양한 센서를 통해서 현재의 위치정보와 주변 상황을 인지하여 운전자에게 의존하지 않고 스스로 판단하고 주행하는 차량이다. 완전자율주행을 위해서는 완벽한 인지기술이 필요하고 정밀도로지도는 차선, 정지선, 신호등, 횡단보도 등에 대한 정보를 정밀하게 제공하고 있기 때문에 자율주행 차량에서 발생하는 인지 오차를 최소화시킬 수 있음으로, 신뢰성 있는 자율주행차량을 위해서는 도로 위 다양한 시설물들의 위치정보를 차량에 입력한 정밀지도 정보가 필수적이다. 본 연구에서는 정밀도로지도의 정의 및 필요성 국내외 동향을 분석하고 실제 운영되고 있는 대구광역시 자율주행특화지역(수성의료지구, 약 24km)과 세종특별자치시 행복도시(약 33km), 서울대학교 시흥캠퍼스 FMTC(Future Mobility Technical Center) PG(Proving Ground)를 대상으로 국토지리정보원 MMS(Mobile Mapping System) 측량 성과물을 활용하여 정밀도로지도 서비스인 Web GIS 기반 HD(High Definition) Map 프로토타입을 구축하였다. 추후 연구에서는 본 연구에서 구축한 정밀도로지도 서비스를 자율주행차량 및 관제 시스템에 탑재 시켜 실시간 위치검증 및 위치보정 알고리즘의 성능 검증을 진행하고자 한다.

Effects of Depth Map Quantization for Computer-Generated Multiview Images using Depth Image-Based Rendering

  • Kim, Min-Young;Cho, Yong-Joo;Choo, Hyon-Gon;Kim, Jin-Woong;Park, Kyoung-Shin
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제5권11호
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    • pp.2175-2190
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    • 2011
  • This paper presents the effects of depth map quantization for multiview intermediate image generation using depth image-based rendering (DIBR). DIBR synthesizes multiple virtual views of a 3D scene from a 2D image and its associated depth map. However, it needs precise depth information in order to generate reliable and accurate intermediate view images for use in multiview 3D display systems. Previous work has extensively studied the pre-processing of the depth map, but little is known about depth map quantization. In this paper, we conduct an experiment to estimate the depth map quantization that affords acceptable image quality to generate DIBR-based multiview intermediate images. The experiment uses computer-generated 3D scenes, in which the multiview images captured directly from the scene are compared to the multiview intermediate images constructed by DIBR with a number of quantized depth maps. The results showed that there was no significant effect on depth map quantization from 16-bit to 7-bit (and more specifically 96-scale) on DIBR. Hence, a depth map above 7-bit is needed to maintain sufficient image quality for a DIBR-based multiview 3D system.

Selective Encryption Scheme for Vector Map Data using Chaotic Map

  • Bang, N.V.;Moon, Kwang-Seok;Lim, Sanghun;Lee, Suk-Hwan;Kwon, Ki-Ryong
    • 한국멀티미디어학회논문지
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    • 제18권7호
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    • pp.818-826
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    • 2015
  • With the rapid interest in Geographic Information System (GIS) contents, a large volume of valuable GIS dataset has been distributed illegally by pirates, hackers, or unauthorized users. Therefore the problem focus on how to protect the copyright of GIS vector map data for storage and transmission. But GIS vector map data is very large and current data encryption techniques often encrypt all components of data. That means we have encrypted large amount of data lead to the long encrypting time and high complexity computation. This paper presents the selective encryption scheme using hybrid transform for GIS vector map data protection to store, transmit or distribute to authorized users. In proposed scheme, polylines and polygons in vector map are targets of selective encryption. We select the significant objects in polyline/polygon layer, and then they are encrypted by the key sets generated by using Chaotic map before changing them in DWT, DFT domain. Experimental results verified the proposed algorithm effectively and error in decryption is approximately zero.

Pattern mining for large distributed dataset: A parallel approach (PMLDD)

  • Pal, Amrit;Kumar, Manish
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제12권11호
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    • pp.5287-5303
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    • 2018
  • Handling vast amount of data found in large transactional datasets is an obvious challenge for the conventional data mining algorithms. Addressing this challenge, our paper proposes a parallel approach for proper decomposition of mining problem into sub-problems in order to find frequent patterns from these datasets. The proposed, Pattern Mining for Large Distributed Dataset (PMLDD) approach, ensures minimum dependencies as well as minimum communications among sub-problems. It establishes a linear aggregation of the intermediate results so that it can be adapted to large-scale programming models like MapReduce. In this context, an algorithmic structure for MapReduce programming model is presented. PMLDD guarantees an efficient load balancing among the sub-problems by a specific selection criterion. Further, it optimizes the number of required iterations over the dataset for mining frequent patterns as compared to the existing approaches. Finally, we believe that our approach is scalable enough to handle larger datasets in terms of performance evaluation, and the result analysis justifies all these mentioned concerns.

Mobile Robot navigation using an Multi-resolution Electrostatic Potential Filed

  • Kim, Cheol-Taek;Lee, Ju-Jang
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2004년도 ICCAS
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    • pp.690-693
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    • 2004
  • This paper proposes a multi-resolution electrostatic potential field (MREPF) based solution to the mobile robot path planning and collision avoidance problem in 2D dynamic environment. The MREPF is an environment method in calculation time and updating field map. The large scale resolution map is added to EPF and this resolution map interacts with the small scale resolution map to find an optimal solution in real time. This approach can be interpreted with Atlantis model. The simulation studies show the efficiency of the proposed algorithm.

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Chemical Genetics Approach Reveals Importance of cAMP and MAP Kinase Signaling to Lipid and Carotenoid Biosynthesis in Microalgae

  • Choi, Yoon-E;Rhee, Jin-Kyu;Kim, Hyun-Soo;Ahn, Joon-Woo;Hwang, Hyemin;Yang, Ji-Won
    • Journal of Microbiology and Biotechnology
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    • 제25권5호
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    • pp.637-647
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    • 2015
  • In this study, we attempted to understand signaling pathways behind lipid biosynthesis by employing a chemical genetics approach based on small molecule inhibitors. Specific signaling inhibitors of MAP kinase or modulators of cAMP signaling were selected to evaluate the functional roles of each of the key signaling pathways in three different microalgal species: Chlamydomonas reinhardtii, Chlorella vulgaris, and Haematococcus pluvialis. Our results clearly indicate that cAMP signaling pathways are indeed positively associated with microalgal lipid biosynthesis. In contrast, MAP kinase pathways in three microalgal species are all negatively implicated in both lipid and carotenoid biosynthesis.