• Journal of Convergence for Information Technology
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• v.10 no.11
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• pp.1-8
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• 2020

As power consumption is maximized, research on augmented reality-based monitoring systems for on-site facility managers to maintain and repair power facilities is being actively conducted as individual power brokerages and power production facilities increase. However, in the case of existing augmented reality-based monitoring systems, it is difficult to accurately detect patterns due to problems such as external environment, facility complexity, and interference with the lighting environment, and it is not possible to match various sensing information and service information for power facilities to one pattern. there is a problem. For this reason, since sensor information is matched using a single image pattern for each sensor of a power facility, a plurality of image patterns are required to augment and provide all information. In this paper, we propose a single image pattern arrangement method that matches and provides a plurality of information through an array combination of feature patterns in a single image composed of a plurality of feature patterns.

• Proceedings of the Korean Information Science Society Conference
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• 2007.10d
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• pp.435-439
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• 2007

최근 저가형 이미지 센서 기술의 발전과 무선 센서 네트워크기술의 발전으로 인해 WMSN(Wireless Multimedia Sensor Networks) 기술이 활발히 연구되고 있다. WMSN은 기존의 무선 센서 네트워크 기술에 멀티미디어 컨텐츠를 센싱하고 전송 및 처리하는 기반기술을 포함한다. 멀티미디어 컨텐츠는 많은 데이터 가지므로 이를 처리하기 위해서는 많은 계산량과 데이터 전송량을 필요로 하게 된다. 저사양의 센서 노드에서 멀티미디어 컨텐츠를 수용하기 위해서는 에너지 소모를 고려한 압축 기법 및 효율적인 전송에 대한 연구가 필요하다. 본 논문에서는 무선 센서 네트워크에서 이미지를 효율적으로 압축하고 전송하기 위하여 웨이블릿의 Resolution Scalability 특성을 이용한 4가지 움직임 보상/예측 기법을 제안한다. 이를 지원하기 위해 시스템에서 사용하는 각 압축 기법들의 조합에 따른 압축 성능이 적절함을 알아보았다.

• Journal of Korea Society of Industrial Information Systems
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• v.21 no.3
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• pp.21-28
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• 2016

Compressed sensing is a signal processing technique for efficiently acquiring and reconstructing in an under-sampled (i.e., under Nyquist rate) representation. Specially, a block compressed sensing with Smoothed Projected Landweber (BCS-SPL) framework is one of the most widely used schemes. Currently, a variety of BCS-SPL schemes have been actively studied. However, when restoring, block sizes have effects on the reconstructed visual qualities, and in this paper, both a basic scheme of BCS-SPL and several modified schemes of BCS-SPL with structured measurement matrix are analyzed for the effects of the block sizes on the performances of reconstructed image qualities. Through several experiments, it is shown that a basic scheme of BCS-SPL provides superior performance in block size 4.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.97-99
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• 2022

Recently, the amount of data is increasing with the development of industries and technologies. Research on the processing and transmission of large amounts of data is attracting attention. Therefore, in this paper, compressed sensing was used to reduce the amount of data and its effect on Mask R-CNN algorithm was analyzed. We confirmed that as the compressed sensing rate increases, the amount of data in the image and the resolution decreases. However, it was confirmed that there was no significant degradation in the performance of object detection.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2018.10a
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• pp.480-483
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• 2018

In this paper, we study the interference canceling and image sensing processing technology of multiple light sources for high speed transmission in CMOS sensor based visible light communication system. To improve transmission capacity in optical camera communications via image sensors, different data must be transmitted simultaneously from each LED. However, multiple LED light source environments for high-speed transmission can cause interference between adjacent LEDs. In this case, since the visible light communication system generally uses intensity modulation, when a plurality of LEDs transmit data at the same time, it is difficult to accurately detect the respective LEDs due to the light scattering interference of the adjacent LEDs. In order to solve this problem, the ON / OFF state of many LEDs of the light source is accurately recognized by using a dual CMOS sensor, and the spectral estimation technique and the pixel image signal processing technique of each LED are proposed. This technique can accurately recognize multiple LED pixels and improve the total average bit error rate and throughput of a MISO-VLC system.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.12 no.12
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• pp.2323-2329
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• 2008

Advances in wireless communication and hardware technology have made it possible to manufacture high-performance tiny sensor nodes. More recently, the availability of inexpensive cameras modules that are able to capture multimedia data from the environment has fostered the development of Wireless Multimedia Sensor Networks(WMSNs). WMSN supplements the a advanced technique that senses, transmits, and processes the multimedia contents upon the text based traditional wireless sensor network. Since the amount of data which the multimedia contents have, is significantly larger than that of text based data, multimedia contents require lots of computing power and high network bandwidth. To process the multimedia contents on the wireless sensor node which has very limited computing power and energy, a technique for WMSN should take account of computing resource and efficient transmission. In the paper, we propose a new image compression technique YWCE for efficient compression and transmission of image data in WMSN. YWCE introduces 4 type of technique for motion estimation and compensation based on the Resolution Scalability of Wavelet. Experimental result shows that YWCE has high compression performance with different set of 4 type.

• KIPS Transactions on Computer and Communication Systems
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• v.12 no.11
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• pp.319-328
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• 2023

Unlike cloud computing, edge computing technology analyzes and judges data close to devices and users, providing advantages such as real-time service, sensitive data protection, and reduced network traffic. EdgeX Foundry, a representative open source of edge computing platforms, is an open source-based edge middleware platform that provides services between various devices and IT systems in the real world. EdgeX Foundry provides a service for handling camera devices, along with a service for handling existing sensed data, which only supports simple streaming and camera device management and does not store or process image data obtained from the device inside EdgeX. This paper presents a technique that can store and process image data inside EdgeX by applying some of the services provided by EdgeX Foundry. Based on the proposed technique, a service pipeline for object detection services used core in the field of autonomous driving was created for experiments and performance evaluation, and then compared and analyzed with existing methods.

• The Journal of the Korea institute of electronic communication sciences
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• v.5 no.3
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• pp.262-268
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• 2010

In this paper, this study restores the distorted image to its original image by compensating for the distortion of image from a fixed-focus camera lens. The various developments and applications of the imaging devices and the image sensors used in a wide range of industries and expanded use, but due to the needs of the small size and light weight of the camera, the distortion from acquiring images of the distorted curvature of the lens tends to affect many. In particular, the three-dimensional imaging camera, each different distortion of left and right lens cause the degradation of three-dimensional sensitivity and left-right image distortion ratio. we approached the way of generalizing the approximate equations to restore each part of left-right camera images to the coordinators of the original images. The adaptive Neuro-Fuzzy Inference System is configured for it. This system is divided from each membership function and is inferred by 1st order Sugeno Fuzzy model. The result is that the compensated images close to the left, right original images. Using low-cost and compact imaging lens by which also determine the exact three-dimensional image-sensing capabilities and will be able to expect from this study.

• Journal of Satellite, Information and Communications
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• v.10 no.3
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• pp.57-61
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• 2015

This paper describes the basic principles of 3D broadcast system and proposes new 3D broadcast technology that reduces the amount of data by applying CS(Compressed Sensing). Differences between Sampling theory and the CS technology concept was described. CS algorithm SS-CoSaMP(Single-Space Compressive Sampling Matched Pursuit) and AMP(Approximate Message Passing) was described. Image data compressed and restored by these algorithm was compared. Calculation time of the algorithm having a low complexity is determined.

• Proceedings of the Korean Society of Crop Science Conference
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• 2023.04a
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• pp.24-24
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• 2023

현대화된 재배법은 작물의 생육을 위해 시설내부의 환경을 제어하고 실시간 센싱 정보를 저장하는 시스템을 구축하고 이를 활용하고 있으나, 작물의 생육·생장에 미치는 직접적인 영향에 대한 생육데이터 취득은 아직까지도 전문 재배사·농민이 수작업을 통해 조사되고 있다. 본 연구는 작물의 생육데이터 자동 취득을 위한 장치를 개발하고 이를 실용화하기 위한 정확도 측정 시험을 진행하였다. 실험을 위한 장치구성은 3D Depth 카메라(Intel D415)와 운용 PC이며 딥러닝 모델을 이용하여 작물의 세부기관을 자동으로 인식하는 모델을 포함한다. 장치는 다양한 재배환경의 작물 생육데이터 취득을 위하여 휴대용, 고정형, 로봇형 3가지 유형으로 개발하였고 측정 정확도 검증은 휴대용 생육측정장치를 활용하여 조사하였다. 이러한 연구를 통해 수작업이 아닌 영상에 의한 생육 데이터수집으로 작물의 생육정보(측정값+이미지)를 확보함으로써 환경데이터와 함께 객관적인 정보에 의한 작물의 생산량, 수확시기 등을 예측하는데 활용될 수 있을것으로 예상된다.