• Title/Summary/Keyword: different resolution

Search Result 1,815, Processing Time 0.025 seconds

Mediating Conflicts in Concurrent Engineering / Design Environment (동시공학/설계 환경에서 Conflict 중재)

  • Kim, Myong-Ok
    • The Journal of Society for e-Business Studies
    • /
    • v.1 no.2
    • /
    • pp.161-173
    • /
    • 1996
  • It Is a typical scenario in concurrent engineering/design that different perspectives of each team members participating In the project exist, and those perspectives lead to conflicting decisions. The model 'resolution network' proposed in this work provides system-mediated resolution for all related team engineers to consider to optimize the manufacture in general. This paper focuses on development of the general architecture of the model and a search engine called Mediator to determine a resolution network from a given constraint network. The Mediator manages the constraint network, determines the most optimistic resolution called optimal point in terms of satisfying overall production goal , and use the optimal point to mediate controversial issues among teams. The biggest merit of our model is that it provides teams with resolution with logical and rational reasoning.

  • PDF

Interferometric Synthetic Aperture Millimeter-wave Radiometer for the High Resolution Imaging

  • Kim, Yong-Hoon;Choi, Jung-Hee;Kang, Gum-Sil
    • Proceedings of the KSRS Conference
    • /
    • 1999.11a
    • /
    • pp.122-126
    • /
    • 1999
  • The imaging characteristics of a 2-D interferometric synthetic aperture radiometer, such as an angular resolution, depend largely on the type of an antenna array. In this paper, different array configurations of antenna are studied and compared with each array types to get more high resolution image in spatial. T-, X- and Y- types of antenna array are considered and the performances of each type are analyzed considering spatial resolution. The simulation results of candidate antenna types are presented in this paper. In case of Y-type the coverage area of the visibility function is wide and the angular resolution is high more than the others. X-type array shows the good performance for side lobe level.

  • PDF

Human Performance Evaluation of Virtual Object Moving Task in the Different Temporal, Spatial and Pictorial Resolution of a Stereoscopic Display (가상현실 표시장치에서의 시간적, 공간적, 회화적 해상도에 따른 가상물체 이동작업의 인간성능 평가)

  • Park, Jae-Hee
    • IE interfaces
    • /
    • v.18 no.1
    • /
    • pp.82-87
    • /
    • 2005
  • Most of virtual reality systems ask users to control 3D objects or to navigate 3D world using 3D controllers. To maximize the human performance in the control, the design of virtual reality system and its input and output devices should be optimized. In this study, an experiment was designed to investigate the effects of three resolution factors of a virtual reality system on the human performance. Six subjects conducted the experiment for the factors; two frame rates, three spatial resolutions, and three pictorial contents. The result showed that the greater the spatial resolution was, the higher the human performance was. For the temporal resolution, fixed frame rate at 18 Hz was better than the varied maximized frame rate. For the pictorial contents, the virtual space with orientation cues marked the greatest performance than the other two conditions; the virtual space without any orientation cue and the virtual space like real world. These results could be applied for the design of virtual reality systems.

Image Super Resolution Based on Interpolation of Wavelet Domain High Frequency Subbands and the Spatial Domain Input Image

  • Anbarjafari, Gholamreza;Demirel, Hasan
    • ETRI Journal
    • /
    • v.32 no.3
    • /
    • pp.390-394
    • /
    • 2010
  • In this paper, we propose a new super-resolution technique based on interpolation of the high-frequency subband images obtained by discrete wavelet transform (DWT) and the input image. The proposed technique uses DWT to decompose an image into different subband images. Then the high-frequency subband images and the input low-resolution image have been interpolated, followed by combining all these images to generate a new super-resolved image by using inverse DWT. The proposed technique has been tested on Lena, Elaine, Pepper, and Baboon. The quantitative peak signal-to-noise ratio (PSNR) and visual results show the superiority of the proposed technique over the conventional and state-of-art image resolution enhancement techniques. For Lena's image, the PSNR is 7.93 dB higher than the bicubic interpolation.

The effect of error sources on the results of one-way nested ocean regional circulation model

  • Sy, Pham-Van;Hwang, Jin Hwan;Nguyen, Thi Hoang Thao;Kim, Bo-ram
    • Proceedings of the Korea Water Resources Association Conference
    • /
    • 2015.05a
    • /
    • pp.253-253
    • /
    • 2015
  • This research evaluated the effect of two main sources on the results of the ocean regional circulation model (ORCMs) during downscaling and nesting the results from the coarse data. The two sources should be the domain size, and temporal and spatial resolution different between driving and driven data. The Big-Brother Experiment is applied to examine the impact of them on the results of the ORCMs separately. Within resolution of 3km grid point ORCMs applying in the Big-Brother Experiment framework, it showed that the simulation results of the ORCMs depend on the domain size and specially the spatial and temporal resolution of lateral boundary conditions (LBCs). The domain size can be selected at 9.5 times larger than the interest area, and the spatial resolution between driving data and driven model can be up to 3 of ratio resolution and updating frequency of the LBCs can be up to every 6 hours per day.

  • PDF

Restoring CCTV Data and Improving Object Detection Performance in Construction Sites by Super Resolution Based on Deep Learning (Super Resolution을 통한 건설현장 CCTV 고해상도 복원 및 Object Detection 성능 향상)

  • Kim, Kug-Bin;Suh, Hyo-Jeong;Kim, Ha-Rim;Yoo, Wi-Sung;Cho, Hun-Hee
    • Proceedings of the Korean Institute of Building Construction Conference
    • /
    • 2023.05a
    • /
    • pp.251-252
    • /
    • 2023
  • As technology improves with the 4th industrial revolution, smart construction is becoming a key part of safety management in the architecture and civil engineering. By using object detection technology with CCTV data, construction sites can be managed efficiently. In this study, super resolution technology based on deep learning is proposed to improve the accuracy of object detection in construction sites. As the resolution of a train set data and test set data get higher, the accuracy of object detection model gets better. Therefore, according to the scale of construction sites, different object detection models can be considered.

  • PDF

Sensitivity of Input Parameters in the Spectral Wave Model

  • Park, Hyo-Bong
    • Journal of Ocean Engineering and Technology
    • /
    • v.23 no.2
    • /
    • pp.28-36
    • /
    • 2009
  • Many researches have been done to define the physical parameters for the wave generation and transformation over a coastal region. However, most of these have been limited to the application of particular conditions, as they are generally too empirical. To yield more reasonable wave estimation using a spectral wave model, it is important to understand how they work for the wave estimation. This study involved a comprehensive sensitivity test against the spectral resolution and the physical source/sink terms of the spectral wave model using SWAN and TOMAWAC, which have the same physical background with several different empirical/theoretical formulations. The tests were conducted for the East Anglian coast, UK, which is characterized by a complex bathymetry due to several shoals and offshore sandbanks. For the quantitative and qualitative evaluation of the models' performance with different input conditions, the wave elements and spectrums predicted at representative sites the East Anglia coast were compared/analyzed. The spectral resolution had no significant effect on the model results, but the lowest resolution on the frequency and direction induced underestimations of the wave height and period. The bottom friction and depth-induced breaking terms produced relatively high variations in the wave prediction, depending on which formulation was applied. The terms for the quadruplet and whitecapping had little effect on the wave estimation, whereas the triads tended to predict shorter and higher waves by energy transferring to higher frequencies.

A Study on the Roles of Arbitration and Online Arbitration in International Cyber Trade (사이버무역에서 중재의 역할과 온라인중재에 관한 연구)

  • Oh Won-Suk;Yu Byoung-Yook
    • Journal of Arbitration Studies
    • /
    • v.14 no.1
    • /
    • pp.61-101
    • /
    • 2004
  • Information and communications technologies are affecting an economic and social transformation of all countries. Without exception international commercial dispute resolution systems are faced with change its mechanism to online technology. Dispute parties can seek redress through arbitration other than litigation or mediation. Traditional dispute resolutions do not match the cyber trade environment which is basically pursuit the speed and efficiency in cyberspace. Arbitration other than resolution methods have been considered to be match with the online environment which is including party autonomy, speed and internationally accepted and binding awards. Traditional arbitration, however is lack of time and different physical location relating all parties. So we now think cyberspace as for the resolving place which is online arbitration. Even the parties exist in different space and time they may meet in the same time and space without moving or trips. Nowadays there are many online arbitration service provider serving the resolution of dispute arising with online transaction. In this paper we study the tendency for online arbitration, the recognize uncertain matters and avoiding programs its matters when use the online arbitration between disputing parties under cyber trade environment.

  • PDF

A Fast Kernel Regression Framework for Video Super-Resolution

  • Yu, Wen-Sen;Wang, Ming-Hui;Chang, Hua-Wen;Chen, Shu-Qing
    • KSII Transactions on Internet and Information Systems (TIIS)
    • /
    • v.8 no.1
    • /
    • pp.232-248
    • /
    • 2014
  • A series of kernel regression (KR) algorithms, such as the classic kernel regression (CKR), the 2- and 3-D steering kernel regression (SKR), have been proposed for image and video super-resolution. In existing KR frameworks, a single algorithm is usually adopted and applied for a whole image/video, regardless of region characteristics. However, their performances and computational efficiencies can differ in regions of different characteristics. To take full advantage of the KR algorithms and avoid their disadvantage, this paper proposes a kernel regression framework for video super-resolution. In this framework, each video frame is first analyzed and divided into three types of regions: flat, non-flat-stationary, and non-flat-moving regions. Then different KR algorithm is selected according to the region type. The CKR and 2-D SKR algorithms are applied to flat and non-flat-stationary regions, respectively. For non-flat-moving regions, this paper proposes a similarity-assisted steering kernel regression (SASKR) algorithm, which can give better performance and higher computational efficiency than the 3-D SKR algorithm. Experimental results demonstrate that the computational efficiency of the proposed framework is greatly improved without apparent degradation in performance.

Improvement of Temporal Resolution for Land Surface Monitoring by the Geostationary Ocean Color Imager Data

  • Lee, Hwa-Seon;Lee, Kyu-Sung
    • Korean Journal of Remote Sensing
    • /
    • v.32 no.1
    • /
    • pp.25-38
    • /
    • 2016
  • With the increasing need for high temporal resolution satellite imagery for monitoring land surfaces, this study evaluated the temporal resolution of the NDVI composites from Geostationary Ocean Color Imager (GOCI) data. The GOCI is the first geostationary satellite sensor designed to provide continuous images over a $2,500{\times}2,500km^2$ area of the northeast Asian region with relatively high spatial resolution of 500 m. We used total 2,944 hourly images of the GOCI level 1B radiance data obtained during the one-year period from April 2011 to March 2012. A daily NDVI composite was produced by maximum value compositing of eight hourly images captured during day-time. Further NDVI composites were created with different compositing periods ranging from two to five days. The cloud coverage of each composite was estimated by the cloud detection method developed in study and then compared with the Moderate Resolution Imaging Spectroradiometer (MODIS) Aqua cloud product and 16-day NDVI composite. The GOCI NDVI composites showed much higher temporal resolution with less cloud coverage than the MODIS NDVI products. The average of cloud coverage for the five-day GOCI composites during the one year was only 2.5%, which is a significant improvement compared to the 8.9%~19.3% cloud coverage in the MODIS 16-day NDVI composites.