• Title/Summary/Keyword: Media fusion

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End-to-End Learning-based Spatial Scalable Image Compression with Multi-scale Feature Fusion Module (다중 스케일 특징 융합 모듈을 통한 종단 간 학습기반 공간적 스케일러블 영상 압축)

  • Shin Juyeon;Kang Jewon
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2022.11a
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    • pp.1-3
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    • 2022
  • 최근 기존의 영상 압축 파이프라인 대신 신경망의 종단 간 학습을 통해 압축을 수행하는 알고리즘의 연구가 활발히 진행되고 있다. 본 논문은 종단 간 학습 기반 공간적 스케일러블 압축 기술을 제안한다. 보다 구체적으로 본 논문은 신경망의 각 계층에서 하위 계층의 학습된 특징 (feature)을 융합하여 상위 계층으로 전달하는 다중 스케일 특징 융합 (multi-scale feature fusion) 모듈을 도입해 상위 계층이 더욱 풍부한 특징 정보를 학습하고 계층 사이의 특징 중복성을 더욱 잘 제거할 수 있도록 한다. 기존 방법 대비 향상 계층(enhancement layer)에서 1.37%의 BD-rate가 향상된 결과를 볼 수 있다.

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Digilog-book: A Novel Concept of Media (새로운 개념의 미디어 디지로그북)

  • Kim, Hae-Sun;Woo, Woon-Tack
    • 한국HCI학회:학술대회논문집
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    • 2009.02a
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    • pp.1293-1300
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    • 2009
  • The recent advent of the digital age changes socio-cultural environments. Since the value of technology is moving to the value of culture, new research areas which are the convergence of emotion, knowledge, and technology. These trends enlarge interactive digital multimedia in daily human life. One of them, book, also envolves new concept. Over electronic book, we present digilog book which is fusion of old-media and digital media. In this paper, we define digilog book as a new conceptual media and discuss it in details. Several digilog books are showed as an example and its authoring tool, ARtalet is introduced.

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Robust spectrum sensing under noise uncertainty for spectrum sharing

  • Kim, Chang-Joo;Jin, Eun Sook;Cheon, Kyung-yul;Kim, Seon-Hwan
    • ETRI Journal
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    • v.41 no.2
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    • pp.176-183
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    • 2019
  • Spectrum sensing plays an important role in spectrum sharing. Energy detection is generally used because it does not require a priori knowledge of primary user (PU) signals; however, it is sensitive to noise uncertainty. An order statistics (OS) detector provides inherent protection against nonhomogeneous background signals. However, no analysis has been conducted yet to apply OS detection to spectrum sensing in a wireless channel to solve noise uncertainty. In this paper, we propose a robust spectrum sensing scheme based on generalized order statistics (GOS) and analyze the exact false alarm and detection probabilities under noise uncertainty. From the equation of the exact false alarm probability, the threshold value is calculated to maintain a constant false alarm rate. The detection probability is obtained from the calculated threshold under noise uncertainty. As a fusion rule for cooperative spectrum sensing, we adopt an OR rule, that is, a 1-out-of-N rule, and we call the proposed scheme GOS-OR. The analytical results show that the GOS-OR scheme can achieve optimum performance and maintain the desired false alarm rates if the coefficients of the GOS-OR detector can be correctly selected.

The Test of Mechanism Operation for 3D Printer Using Polygon Mirror (폴리곤 미러를 이용한 3D 프린터 기구부 동작 테스트)

  • Kwon, Dong-hyun;Heo, Sung-uk;Lim, Ji-yong;Oh, Am-suk;Kim, Wan-sik
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2016.10a
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    • pp.735-737
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    • 2016
  • In this paper, we conducted a test of the 3D printer injection method and LSU (Laser Scanning Unit) feature a fusion of the polygon mirror scanning system that is the core mechanism operation for 3D printers for office laser printers SLA system. These tests ensure that the laser was operating and control well was confirmed that a certain point is output to the X-axis by means of a laser module and a polygon mirror. And confirmed after the F-theta lens is incident on the fixed laser power of the beam, and correction according to the correction beam on the mirror reflection was confirmed jineunji the focus according to the Z-axis upper plate.

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A Study on the Idea of Materiality of New Media Art through Rethinking Kinetic Art (키네틱아트의 재조명을 통한 뉴미디어아트의 물질성에 대한 고찰)

  • Song, Min Jeong
    • Journal of Digital Convergence
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    • v.13 no.3
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    • pp.263-270
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    • 2015
  • The development of technology has always been influencing the worldview of the time, and this has been embodied through artistic media and contents throughout history. This paper begins with an overview on how the notion of movement in art has developed with the juxtaposition of materiality and immateriality or the conversion between the two by rethinking Kinetic Art which was popularized in the mid-twentieth century in America and Europe. Then, this is compared with New Media Art which employs advanced digital media techniques to generate virtual images. New Media Art requires some kinds of physical mechanisms and space for the embodiment of virtual images to some extent. The coexistence of material and immaterial aspects of New Media art is investigated through the contextualization with certain aspects of Kinetic Art.

In vitro Test of Mycelial Growth Inhibition of 5 Fungi Pathogenic to Strawberries by Ultraviolet-C (UV-C) Irradiation (자외선(UV-C) 조사에 의한 딸기병원균의 균사생장억제)

  • Kim, Seon Ae;Ahn, Soon-Young;Oh, Wook;Yun, Hae Keun
    • Korean Journal of Food Science and Technology
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    • v.44 no.5
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    • pp.634-637
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    • 2012
  • In strawberry production, among others, the high incidence of diseases by pathogenic fungi resulting in the reduction of fruit yield and quality requires the development of eco-friendly management systems rather than chemical sprays to control them. The diameter of colonies grown in media at $25^{\circ}C$ for 5 days was measured to evaluate the in vitro inhibition of mycelial growth of 5 pathogenic fungi by irradiation with ultraviolet (UV-C, 264 nm). The mycelial growth of 5 pathogenic fungi was inhibited in potato dextrose agar (PDA) by the irradiation of UV-C for 1 hour a day, and was dramatically inhibited by the irradiation of UV-C for 9-12 h a day. The irradiation of UV-C for 9-12 h a day inhibited completely the growth of the late blight pathogen, Phytophthora cactorum. The irradiation distance of 40 to 50 cm was effective for the inhibition of mycelial growth of fungi. The mycelial growth of fungi without pre-incubation was inhibited strongly by UV-C irradiation compared to fungi pre-incubated for 2 days without light. The mycelia growth of Colletotrichum gloeosprioides and Fusarium oxysporum was inhibited strongly by UV-C irradiation in vegetable 8 juice agar compared to PDA.

Human brain pyridoxal-5'-phosphate phosphatase (PLPP): protein transduction of PEP-1-PLPP into PC12 cells

  • Lee, Yeom-Pyo;Kim, Dae-Won;Lee, Min-Jung;Jeong, Min-Seop;Kim, So-Young;Lee, Sun-Hwa;Jang, Sang-Ho;Park, Jin-Seu;Kang, Tae-Cheon;Won, Moo-Ho;Cho, Sung-Woo;Kwon, Oh-Shin;Eum, Won-Sik;Choi, Soo-Young
    • BMB Reports
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    • v.41 no.5
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    • pp.408-413
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    • 2008
  • Pyridoxal-5'-phosphate phosphatase (PLPP) catalyzes the dephosphorylation of pyridoxal-5'-phosphate (PLP). A human brain PLPP gene was fused with a PEP-1 peptide and produced a genetic in-frame PEP-1-PLPP fusion protein. The purified PEP-1-PLPP fusion protein was efficiently transduced into PC12 cells in a time- and dose-dependent manner when added exogenously to culture media. Once inside the cells, the transduced PEP-1-PLPP fusion protein was stable for 36 h. The concentration of PLP was markedly decreased by the addition of exogenous PEP-1-PLPP to media pretreated with the vitamin $B_6$ precursors; pyridoxine, pyridoxal kinase and pyridoxine-5'-phosphate oxidase into cells. The results suggest that the transduction of the PEP-1-PLPP fusion protein can be one mode of PLP level regulation, and to replenish this enzyme in the various neurological disorders related to vitamin $B_6$.

A Fusion Sensor System for Efficient Road Surface Monitorinq on UGV (UGV에서 효율적인 노면 모니터링을 위한 퓨전 센서 시스템 )

  • Seonghwan Ryu;Seoyeon Kim;Jiwoo Shin;Taesik Kim;Jinman Jung
    • Smart Media Journal
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    • v.13 no.3
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    • pp.18-26
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    • 2024
  • Road surface monitoring is essential for maintaining road environment safety through managing risk factors like rutting and crack detection. Using autonomous driving-based UGVs with high-performance 2D laser sensors enables more precise measurements. However, the increased energy consumption of these sensors is limited by constrained battery capacity. In this paper, we propose a fusion sensor system for efficient surface monitoring with UGVs. The proposed system combines color information from cameras and depth information from line laser sensors to accurately detect surface displacement. Furthermore, a dynamic sampling algorithm is applied to control the scanning frequency of line laser sensors based on the detection status of monitoring targets using camera sensors, reducing unnecessary energy consumption. A power consumption model of the fusion sensor system analyzes its energy efficiency considering various crack distributions and sensor characteristics in different mission environments. Performance analysis demonstrates that setting the power consumption of the line laser sensor to twice that of the saving state when in the active state increases power consumption efficiency by 13.3% compared to fixed sampling under the condition of λ=10, µ=10.

A Study for Improved Human Action Recognition using Multi-classifiers (비디오 행동 인식을 위하여 다중 판별 결과 융합을 통한 성능 개선에 관한 연구)

  • Kim, Semin;Ro, Yong Man
    • Journal of Broadcast Engineering
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    • v.19 no.2
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    • pp.166-173
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    • 2014
  • Recently, human action recognition have been developed for various broadcasting and video process. Since a video can consist of various scenes, keypoint approaches have been more attracted than template based methods for real application. Keypoint approahces tried to find regions having motion in video, and made 3-dimensional patches. Then, descriptors using histograms were computed from the patches, and a classifier based on machine learning method was applied to detect actions in video. However, a single classifier was difficult to handle various human actions. In order to improve this problem, approaches using multi classifiers were used to detect and to recognize objects. Thus, we propose a new human action recognition using decision-level fusion with support vector machine and sparse representation. The proposed method extracted descriptors based on keypoint approach from a video, and acquired results from each classifier for human action recognition. Then, we applied weights which were acquired by training stage to fuse each results from two classifiers. The experiment results in this paper show better result than a previous fusion method.

A HMD VR data transmission solution by using strip LED attached Window Signage

  • Kim, Seung-Kyun;Woo, Deok-Gun;Park, Young-Ki;Im, Sang-Il;Timur, Khudaybergenov;Ku, Kyung-Hwan;Cha, Jae-Sang
    • International Journal of Internet, Broadcasting and Communication
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    • v.12 no.4
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    • pp.11-17
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    • 2020
  • This paper proposed the design of a new window signage system architecture, which utilized a window of a building, with attached LED for visible light communication. In this paper, the proposed method using the LED strip to transmit light data and receive the data through a HMD with a smart device camera. The LED strip attached to the existing building window, as a part of semi-transparent signage. Semi-transparent signage based on a controllable LED strip-modules and attached to the window used to provide entertainment contents and the information service to people through optical camera communication (OCC) as well. Also, this work suggests using the camera supplied Head Mounted Device (HMD) as an OCC receiver. The LED attached window signage system structure described in this paper can be utilized in various buildings infrastructure like house, shopping areas, industrial building, etc.