• Title/Summary/Keyword: IT-fusion

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Fuzzy Neural Network Based Sensor Fusion and It's Application to Mobile Robot in Intelligent Robotic Space

  • Jin, Tae-Seok;Lee, Min-Jung;Hashimoto, Hideki
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.6 no.4
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    • pp.293-298
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    • 2006
  • In this paper, a sensor fusion based robot navigation method for the autonomous control of a miniature human interaction robot is presented. The method of navigation blends the optimality of the Fuzzy Neural Network(FNN) based control algorithm with the capabilities in expressing knowledge and learning of the networked Intelligent Robotic Space(IRS). States of robot and IR space, for examples, the distance between the mobile robot and obstacles and the velocity of mobile robot, are used as the inputs of fuzzy logic controller. The navigation strategy is based on the combination of fuzzy rules tuned for both goal-approach and obstacle-avoidance. To identify the environments, a sensor fusion technique is introduced, where the sensory data of ultrasonic sensors and a vision sensor are fused into the identification process. Preliminary experiment and results are shown to demonstrate the merit of the introduced navigation control algorithm.

Enhanced Gene Expression by Fusion to Rice-ubiquitin in Yeast

  • Kim, Young-Mi
    • Journal of Applied Biological Chemistry
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    • v.43 no.1
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    • pp.1-4
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    • 2000
  • Chloramphenicol acetyl CoA transferase (CAT) and angiotensin- converting enzyme inhibitory peptide (ACEI) were fused to C-terminal region of rice ubiquitin to examine the level of transcripts or enzyme activities in yeast. When two chimeric genes under an inducible Gall promoter control were transformed into Saccharomyces cerevisaie, both CAT and ACE inhibitory activities were enhanced by three to four-fold as compared to those containing no ubiquitin gene. However, the levels of transcripts of ubiquitin fused and un fused genes were not significantly different each other. Therefore, it was suggested that the expression of foreign genes was post-transcriptionally enhanced by fusion of plant ubiquitin in heterologous organisms such as yeast.

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Chiral-MGrid: Grid based Chiral Discrimination Service (Chiral-MGrid: 그리드 기반 광학이성질체 식별 서비스)

  • Kang, Mi-Ran;Jeong, Karp-Joo;Lee, Jong-Hyun;Choi, Young-Jin;Jung, Seun-Ho
    • Proceedings of the Korean Information Science Society Conference
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    • 2006.10a
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    • pp.563-567
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    • 2006
  • 현재 IT분야의 끊임없는 발전과 더불어 BT/NT 분야와의 협업이 활발히 진행되고 있는 가운데, 광학 이성질체에 대한 연구는 그 중요성이 점점 증가되고 있다. 광학 이성질체는 생체 내에서 작용할 경우 성질, 기능, 효과에서 정반대 결과를 일으키기에 제약 산업 등 응용분야에서는 사용을 위해 효과적으로 식별하여 분리할 필요성이 존재한다. 이런 실험은 단계가 복잡하고 결과를 분석하고 시각화하기 어렵다. 이를 해결하기 위해 본 논문에서는 광학 이성질체의 분리연구를 위한 그리드 기반의 Chiral-MGrid 시스템을 제공한다. Chiral-MGrid 시스템은 분리연구 관련 실험을 그리드 기반에서 one set operation으로 수행할 수 있는 서비스를 제공한다.

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Design of online damage images detection system for large-aperture mirrors of high power laser facility based on wavefront coding technology

  • Fang, Wang;Qinxiao, Liu;Dongxia, Hu;Hongjie, Liu;Tianran, Zheng
    • Nuclear Engineering and Technology
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    • v.53 no.9
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    • pp.2899-2908
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    • 2021
  • The laser transport system of the high power laser facility is mainly composed of large-aperture laser transport mirrors (TMs). Obtaining the high-resolution online damage images during the operation, which is of great significance for operating safely of the mirrors and the facility. Based on wavefront coding, pan-tilt scanning and image stitching technologies, an online laser-damage images detection system is designed, and it can achieve high-precision detection of surface characteristics of large-aperture laser transport mirrors. The preliminary simulation proves that the system can solve the depth of field matching problem caused by pan-tilt tilt imaging and achieve higher resolution.

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.

Mechanical Properties of the Laminated Glass Fiber-Reinforced Plastic Composites for Electromagnet Structure System (전자석 구조물용 적층 유리섬유강화 복합재료의 기계적 특성)

  • Park, Han Ju;Kim, Hak Kun;Song, Jun Hee
    • Korean Journal of Metals and Materials
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    • v.49 no.8
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    • pp.589-595
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    • 2011
  • Laminated glass fiber-reinforced plastic (GFRP) composites were applied to an insulating structure of a magnet system for a nuclear fusion device. Decreased inter-laminar strength by a strong repulsive force between coils which is induced a problem of structural integrity in laminated GFRPs. Therefore, it is important to investigate the inter-laminar characteristics of laminated GFRP composites in order to assure more reliable design and better structural integrity. Three types of the laminated GFRP composites using a high voltage insulating materials were fabricated according to each molding process. To evaluate the grade of the fabricated composites, mechanical tests, such as hardness, tensile and compressive tests,were carried out. The autoclave molding composites satisfied almost of the mechanical properties reguested at the G10 class standard, but the vacuum impregnation (VPI) and Prepreg composites did not.

Neuro-fuzzy modeling of deformation parameters for fusion-barriers

  • Akkoyun, Serkan;Torun, Yunis
    • Nuclear Engineering and Technology
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    • v.53 no.5
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    • pp.1612-1618
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    • 2021
  • The fusion-barrier distribution is very sensitive to the structure of the colliding nuclei such as nuclear quadrupole and hexadecapole deformation parameters and their signs. If the nuclei that enter the fusion reaction are deformed, the barrier problem becomes complicated. Therefore the deformation parameters are taken into account in the calculations. In this study, Neuro-Fuzzy approach, ANFIS, method has been used for the estimation of ground-state quadrupole (𝜀2) and hexadecapole (𝜀4) deformation parameters for the nuclei. According to the results, the method is suitable for this task and one can confidently use it to obtain the data that is not available in the literature.

Toward the Development of a New MHD Code for Fusion Plasma

  • Jang, Hanbyul;Ryu, Dongsu
    • The Bulletin of The Korean Astronomical Society
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    • v.40 no.2
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    • pp.38.2-38.2
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    • 2015
  • Development of a new code for magnetohydrodynamic (MHD) phenomena in fusion plasma is under progress through a collaboration between plasma physicists, mathematicians, and astrophysicists. The code employs approaches different from those of existing codes. For instance, it is based on a finite difference scheme of high-order and high accuracy, complying conservation laws. The new code will have characteristics distinguished from those of commonly used code such as M3D and NIMROD. Here we will report the progress of the code development.

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Application of Fusion Behavior of Frits to Control of Transmittance in Transparent Dielectric

  • Shim, Seung-Bo;Hwang, Seong-Jin;Kim, Hyung-Sun
    • 한국정보디스플레이학회:학술대회논문집
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    • 2006.08a
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    • pp.946-948
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    • 2006
  • It is important to keep a constant transmittance of dielectric during firing. To control the shrinkage and fusion stage of frits in firing, we used a hot stage microscope (HSM) to analyze the thermal properties of the lead and bismate glass frits by the in-situ method. This research would be useful for improving the reliability of transmittance of dielectric during firing in industry using a large furnace with temperature deviation.

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Ultrasonic and Vision Data Fusion for Object Recognition (초음파센서와 시각센서의 융합을 이용한 물체 인식에 관한 연구)

  • Ko, Joong-Hyup;Kim, Wan-Ju;Chung, Myung-Jin
    • Proceedings of the KIEE Conference
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    • 1992.07a
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    • pp.417-421
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    • 1992
  • Ultrasonic and vision data need to be fused for efficient object recognition, especially in mobile robot navigation. In the proposed approach, the whole ultrasonic echo signal is utilized and data fusion is performed based on each sensor's characteristic. It is shown to be effective through the experiment results.

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