• Title/Summary/Keyword: High-visibility

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Design of Rescue Robot in Hazardous and Disastrous Environment

  • Kwak, Sung-Hun;Choi, Gi-Sang;Choi, Gi-Heung
    • International Journal of Safety
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    • v.6 no.1
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    • pp.11-15
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    • 2007
  • In many cases, rescue robots work under harsh conditions such as the presence of various obstacles, high temperature, and limited visibility, etc. These robots are required to have tough mechanical structure, good sensing and control capability, and reliable communication capability for receiving operator's command and sending information on the state of the robot and environment. In this study, a rescue robot that can investigate hazardous or disastrous sites with these capabilities is designed and implemented. The performance of the proposed rescue robot is tested under simulated disastrous environment.

Focal Plane Irradiance from MCF in Millimeter Wave Systems

  • Jong Gil Lee
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.8 no.3
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    • pp.529-534
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    • 2004
  • Millimeter waves are potentially useful for high resolution ranging and imaging in low optical visibility conditions such as fog and smoke. Also, They are used for wide band communications. However, it is necessary to develop a theoretical and experimental understanding of millimeter wave propagation to assess the performance of millimeter wave systems. The intensity fluctuations and mutual coherence function (MCF) describe atmospheric effects on the millimeter wave propagation. Using the quasi-optical method (QOM), an efficient and practical method was suggested to obtain the intensity distribution of the antenna focal plane from MCF which can be determined using meteorological data.

High-performance of Deep learning Colorization With Wavelet fusion (웨이블릿 퓨전에 의한 딥러닝 색상화의 성능 향상)

  • Kim, Young-Back;Choi, Hyun;Cho, Joong-Hwee
    • IEMEK Journal of Embedded Systems and Applications
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    • v.13 no.6
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    • pp.313-319
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    • 2018
  • We propose a post-processing algorithm to improve the quality of the RGB image generated by deep learning based colorization from the gray-scale image of an infrared camera. Wavelet fusion is used to generate a new luminance component of the RGB image luminance component from the deep learning model and the luminance component of the infrared camera. PSNR is increased for all experimental images by applying the proposed algorithm to RGB images generated by two deep learning models of SegNet and DCGAN. For the SegNet model, the average PSNR is improved by 1.3906dB at level 1 of the Haar wavelet method. For the DCGAN model, PSNR is improved 0.0759dB on the average at level 5 of the Daubechies wavelet method. It is also confirmed that the edge components are emphasized by the post-processing and the visibility is improved.

Development of a Prototype Monitoring Module for Steel Bridge Repainting Robots (강교량 재도장 로봇의 모니터링 모듈 시제품 개발)

  • Seo, Myoung Kook;Lee, Ho Yeon;Park, Il Hwan;Chang, Byoung Ha
    • Journal of Drive and Control
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    • v.17 no.4
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    • pp.15-22
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    • 2020
  • With the need for efficient maintenance technology to reduce maintenance costs for steel bridges, repainting robots are being developed to automate the work in narrow and poor bridge spaces. The repainting robot is equipped with a blasting module to remove paint layers and contaminants. This study developed a prototype monitoring module to be mounted on the repainting robot. The monitoring module analyzes the condition of the painting surface through a camera installed in the front, guides the direction of movement of the robot, and provides the operator with a video to check the working status after blasting through a camera installed in the back. Various image visibility enhancement technologies were applied to the monitoring module to overcome worksite challenges where incomplete lighting and dust occurs.

Influence of HAPS and GEO Satellite under SANDU Layering and Gas Attenuations

  • Harb, Kamal
    • International Journal of Computer Science & Network Security
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    • v.21 no.12
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    • pp.93-100
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    • 2021
  • Satellite communication for high altitude platform stations (HAPS) and geostationary orbit (GEO) systems suffers from sand and dust (SANDU) storms in desert and arid regions. The focus of this paper is to propose common relations between HAPS and GEO for the atmospheric impairments affecting the satellite communication networks operating above Ku-band crossing the propagation path. A double phase three-dimensional relationship for HAPS and GEO systems is then presented. The comparison model present the analysis of atmospheric attenuation with specific focus on sand and dust based on particular size, visibility, adding gas effects for different frequency, and propagation angle to provide systems' operations with a predicted vision of satellite parameters' values. Thus, the proposed system provides wide range of selecting applicable parameters, under different weather conditions, in order to achieve better SNR for satellite communication.

Trends of Daylight Environment for Office Spaces Based on Smart-Window Installation Settings (스마트 윈도우 설치 속성에 따른 사무공간의 주광 환경 추이)

  • Jae-Hyang Kim;Seung-Hoon Han
    • New & Renewable Energy
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    • v.19 no.3
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    • pp.13-21
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    • 2023
  • Smart windows are capable of varying their visible light transmittance (VLT) in response to changing environmental conditions. The VLT variability of architectural windows is highly valuable because it enables indoor lighting and energy environments to align with external changes. However, challenges such as high installation costs and assurance of glass visibility have prompted the exploration of alternative solutions, including models incorporating partially applied smart windows., Prior research focused on useful daylight illuminance (UDI) analysis for south-facing office buildings, pointing out suitable areas for smart-window implementation to enhance lighting control. In this study, we broadened this scope by determining optimal smart-window application zones under changing building orientation. Furthermore, we studied the correlation between building orientation and smart-window deployment areas.

Single Image Dehazing: An Analysis on Generative Adversarial Network

  • Amina Khatun;Mohammad Reduanul Haque;Rabeya Basri;Mohammad Shorif Uddin
    • International Journal of Computer Science & Network Security
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    • v.24 no.2
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    • pp.136-142
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    • 2024
  • Haze is a very common phenomenon that degrades or reduces the visibility. It causes various problems where high quality images are required such as traffic and security monitoring. So haze removal from images receives great attention for clear vision. Due to its huge impact, significant advances have been achieved but the task yet remains a challenging one. Recently, different types of deep generative adversarial networks (GAN) are applied to suppress the noise and improve the dehazing performance. But it is unclear how these algorithms would perform on hazy images acquired "in the wild" and how we could gauge the progress in the field. This paper aims to bridge this gap. We present a comprehensive study and experimental evaluation on diverse GAN models in single image dehazing through benchmark datasets.

Why Do We Make Impulse Purchases in Live-streaming E-commerce?

  • Wenyan Jiang;Youngsok Bang
    • Asia-Pacific Journal of Business
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    • v.15 no.1
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    • pp.15-31
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    • 2024
  • Purpose - This study explores the causes behind the high rate of impulse purchases in live streaming e-commerce. Design/methodology/approach - The research model is empirically validated with survey data collected from 324 respondents in China, using the Partial Least Squares (PLS) methodology. Findings - We found that the interactivity and visibility of live streaming are key in creating para-social relationships and perceived presence, leading to customers' impulse purchases. Research implications or Originality - This study deepens the understanding of consumers' impulse purchases in live-streaming e-commerce, revealing that para-social relationships and perceived presence developed through real-time interactions can increase impulse buying. It also highlights the differences between relationship-oriented and task-oriented interactions in fostering customers' perceived presence and para-social relationships in live streaming.

Effectual Method FOR 3D Rebuilding From Diverse Images

  • Leung, Carlos Wai Yin;Hons, B.E.
    • 한국정보컨버전스학회:학술대회논문집
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    • 2008.06a
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    • pp.145-150
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    • 2008
  • This thesis explores the problem of reconstructing a three-dimensional(3D) scene given a set of images or image sequences of the scene. It describes efficient methods for the 3D reconstruction of static and dynamic scenes from stereo images, stereo image sequences, and images captured from multiple viewpoints. Novel methods for image-based and volumetric modelling approaches to 3D reconstruction are presented, with an emphasis on the development of efficient algorithm which produce high quality and accurate reconstructions. For image-based 3D reconstruction a novel energy minimisation scheme, Iterated Dynamic Programming, is presented for the efficient computation of strong local minima of discontinuity preserving energyy functions. Coupled with a novel morphological decomposition method and subregioning schemes for the efficient computation of a narrowband matching cost volume. the minimisation framework is applied to solve problems in stereo matching, stereo-temporal reconstruction, motion estimation, 2D image registration and 3D image registration. This thesis establishes Iterated Dynamic Programming as an efficient and effective energy minimisation scheme suitable for computer vision problems which involve finding correspondences across images. For 3D reconstruction from multiple view images with arbitrary camera placement, a novel volumetric modelling technique, Embedded Voxel Colouring, is presented that efficiently embeds all reconstructions of a 3D scene into a single output in a single scan of the volumetric space under exact visibility. An adaptive thresholding framework is also introduced for the computation of the optimal set of thresholds to obtain high quality 3D reconstructions. This thesis establishes the Embedded Voxel Colouring framework as a fast, efficient and effective method for 3D reconstruction from multiple view images.

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Influence to give to a performance evaluation and sunlight reflection properties of the building crustal material (건물외피 재료의 성능평가와 일사반사 특성에 미치는 영향)

  • Sang, Hie-Sun;Kwak, Sung-Gun;Lee, Jeung-Seok;Yoshida, Atsumada
    • 한국태양에너지학회:학술대회논문집
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    • 2011.11a
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    • pp.177-186
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    • 2011
  • We can expect reduction of the sunlight absorption quantity to a structure and an earth surface, a decline of the surface temperature and a decline of the heat transport volume in what there is a method I give the sunlight reflectance in the aspect to the surface of the building by painting sunlight high reflectance paint, and to reduce the sunlight absorption quantity to a structure and an earth surface and does so, and, in addition, a method high water retentivity of tree planting and the road surface of the city space uses evaporation latent heat of the water by making it, and to restrain a rise in temperature is thought about. and It is thought that I reduce the sunlight absorption quantity to not only the structure but also other structures and attention gathers to the reflexive reflector reflecting in the direction again and it is wide as a marker of a board and the clothing of the traffic sign and is used the incidence energy from a source of light for this reflexive reflector now by there is it and devises surface structure again, and controlling reflection directivity for the sunlight for the purpose of raising night visibility.

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