• Proceedings of the Korea Contents Association Conference
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• 2017.05a
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• pp.461-462
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• 2017

본 논문에서는 해양관제 시스템을 위한 해무(sea-fog) 제거 기술을 제안한다. 이 기술은 실시간 동작을 위해GPU(graphic processing unit)를 기반으로 운용이 된다. 구현에 사용된 GPU는 nVidia사의 GTX 680으로 두 대의 GPU를 사용하여 실시간 동작을 확인하였다.

• Journal of Cadastre & Land InformatiX
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• v.44 no.1
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• pp.97-111
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• 2014

As urbanization and industrialization develops, the necessity of utilizing scarce land in three dimensions is raising. The issue of utilizing underground space is being actively discussed particularly when Geyeonggi-do announced GTX(Great Train Express) construction plan which aims to relieve traffic congestion in metropolitan areas. The current regulation on compensation of underground space is based on "Regulations on compensation standard complied by using underground space for construction of urban railway" but it is difficult for covering the whole rights to protect a three-dimensional right. In this context, the study is to propose the improvement plans of land right's problem and compensation issues to utilization of underground space for the right complementary. To do this, the study reviews the use situation of the classification surface right and using adjudication which defines the effect scope of underground space extending land ownership. As well as it analyzes issues about compensation standard for utilizing of underground space.

• Journal of Digital Convergence
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• v.12 no.6
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• pp.231-236
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• 2014

In this paper, we propose a processing speed improvement by adding a parallel processing based on device(graphic card) into a road region extraction by host(PC) based serial processing. The OpenCV CUDA supports the many functions of parallel processing method by interworking a conventional OpenCV with CUDA. Also, when interworking the OpenCV and CUDA, OpenCV functions completed a configuration are optimized the User's device(Graphic Card) specifications. Thus, OpenCV CUDA usage provides an algorithm verification and easiness of simulation result deduction. The proposed method is verified that the proposed method has a about 3.09 times faster processing speed than a conventional method by using OpenCV CUDA and graphic card of NVIDIA GeForce GTX 560 Ti model through experimentation.

• Journal of Advanced Navigation Technology
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• v.21 no.5
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• pp.485-490
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• 2017

In this paper, we propose a technique for high speed removal of sea-fog using a graphic processor. This technique uses a host processor(CPU) and several graphics processors(GPU) capable of parallel processing to remove sea-fog from the input image. In the process of removing sea-fog, the dark channel extraction, the maximum brightness channel extraction, and the calculation of the transmission are performed by the host processor, and the process of refining the transmission by applying the bidirectional filter is performed in parallel through the graphic processor. To verify the proposed parallel processing method, three NVIDIA GTX 1070 GPUs were used to construct the verification environment. As a result, it takes about 140ms when implemented with one graphics processor, and 26ms when implemented using OpenMP and multiple GPGPUs. The proposed a parallel processing algorithm based on the graphics processor unit can be used for safe navigation, port control and monitoring system.

• Journal of KIISE
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• v.45 no.1
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• pp.94-98
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• 2018

We propose Wide Inception ResNet (WIR Net) an optimized neural network architecture as a real-time semantic segmentation method for autonomous driving. The neural network architecture consists of an encoder that extracts features by applying a residual connection and inception module, and a decoder that increases the resolution by using transposed convolution and a low layer feature map. We also improved the performance by applying an ELU activation function and optimized the neural network by reducing the number of layers and increasing the number of filters. The performance evaluations used an NVIDIA Geforce GTX 1080 and TX1 boards to assess the class and category IoU for cityscapes data in the driving environment. The experimental results show that the accuracy of class IoU 53.4, category IoU 81.8 and the execution speed of $640{\times}360$, $720{\times}480$ resolution image processing 17.8fps and 13.0fps on TX1 board.

• Korean Journal of Fisheries and Aquatic Sciences
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• v.31 no.6
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• pp.817-822
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• 1998

The biweekly monitoring of paralytic shellfish toxin on wild mussels (Mytilus corsucus) was carried out at Jangmok Bay, near Koje Island from Feb, 1996 to Feb. 1997. Toxicity and toxin composition were monitored by means of the mouse bioassay and HPLC. Paralytic shellfish toxin was detected from 27 March to 27 May and 28 November. This is the first record of paralytic shellfish toxin during autumn in Korean waters. Toxin composition between the two different season was similar and was composed of 5$\~$8 toxin fractions as GTXs STXs and PXs. The major toxin component in affected musssels shifted from GTXs in spring to PXs in autumn.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.18 no.3
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• pp.23-32
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• 2008

The computing power of graphics processing units(GPU) has already surpassed that of CPU and the gap between their powers is getting wider. Thus, research on GPGPU which applies GPU to general purpose becomes popular and shows great success especially in the field of parallel data processing. Since the implementation of cryptographic algorithm using GPU was started by Cook et at. in 2005, improved results using graphic libraries such as OpenGL and DirectX have been published. In this paper, we present skills and results of implementing block ciphers using CUDA library announced by NVIDIA in 2007. Also, we discuss a general method converting source codes of block ciphers on CPU to those on GPU. On NVIDIA 8800GTX GPU, the resulting speeds of block cipher AES, ARIA, and DES are 4.5Gbps, 7.0Gbps, and 2.8Gbps, respectively which are faster than the those on CPU.

• Smart Media Journal
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• v.12 no.11
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• pp.67-76
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• 2023

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.

• Textile Coloration and Finishing
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• v.16 no.4
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• pp.26-35
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• 2004

This study surveys the tension differences between Korean domestic and foreign looms and analyses fabric mechanical properties due to warp and weft tension differences using KES-FB system. Paper is divided by two parts. In this 1st paper, fabric is designed as 5 harness satin weave using 75d/36f warp and 100d/192f weft polyester filaments, and is woven by $Omega^\circledR$ rapier loom by Textec Co.Ltd and Picanol$-GTX^\circledR$ rapier loom by Picanol Co.Ltd respectively. These grey fabrics are processed on the same dyeing and finishing processes. Weavability is also analysed by measuring warp tension variation according to the warp position, the relationship between shed amount and the warp tension on one fixed heald frame is surveyed, and the relationship between end breaks and warp and weft tensions is also discussed.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2016.06a
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• pp.364-365
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• 2016

컴퓨터 생성 홀로그램(CGH)는 방대한 계산 량을 가지고 있어, 고해상도의 홀로그램을 생성하기 위하여 고속 홀로그램 생성 방법이 필요하다. 본 논문에서는 다중 GPGPU의 스케쥴링 기법을 이용하여 고속화 하는 방법을 제안한다. 첫 번째로는 커널 내에서 공유 메모리를 이용한 스케쥴링 기법을 통하여 고속화를 하고, 두 번째로는 GPGPU간의 P2P(peer-to-peer)데이터 전송을 이용한 스케쥴링을 했다. nVidia의 GTX680 2개 GPGPU를 이용하여 기존의 방법보다 약 50%의 속도 향상을 확인하였다.