• Title/Summary/Keyword: Fusion Weight

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Refolding and Characterization of Recombinant Fusion Ferritin by Gel Filtration Chromatography

  • Kim, Hyoung-Won;An, Eun-Kyoung;Shin, Mi-Young;Kim, In-Ho
    • 한국생물공학회:학술대회논문집
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    • 2003.10a
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    • pp.544-547
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    • 2003
  • Fusion $ferritin(F_H+F_L),$ an iron-binding protein, was purified from recombinant E. coli by gel filtration chromatography after two-step sonications. Unfolded ferritin was refolded by GFC with various refolding enhancing additives. 50 mM Tris-HCI(pH 7.4) buffers containing 2 M urea and additive was used in GFC. Objective was to characterize the structure change at various conditions. Molecular weight was determined using GF-HPLC and RP-HPLC was used to quantify the unfolded and refolded proteins. Activity was confirmed by iron-uptake reaction.

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Obstacle Avoidance and Planning using Optimization of Cost Fuction based Distributed Control Command (분산제어명령 기반의 비용함수 최소화를 이용한 장애물회피와 주행기법)

  • Bae, Dongseog;Jin, Taeseok
    • Journal of the Korean Society of Industry Convergence
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    • v.21 no.3
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    • pp.125-131
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    • 2018
  • In this paper, we propose a homogeneous multisensor-based navigation algorithm for a mobile robot, which is intelligently searching the goal location in unknown dynamic environments with moving obstacles using multi-ultrasonic sensor. Instead of using "sensor fusion" method which generates the trajectory of a robot based upon the environment model and sensory data, "command fusion" method by fuzzy inference is used to govern the robot motions. The major factors for robot navigation are represented as a cost function. Using the data of the robot states and the environment, the weight value of each factor using fuzzy inference is determined for an optimal trajectory in dynamic environments. For the evaluation of the proposed algorithm, we performed simulations in PC as well as real experiments with mobile robot, AmigoBot. The results show that the proposed algorithm is apt to identify obstacles in unknown environments to guide the robot to the goal location safely.

Purification and Characterization of $\beta$-Xylosidase from Trichoderma sp. SY

  • Kim, Bong-Gyu;Jung, Bo-Ra;Jung, Jae-Gyu;Hur, Hor-Gil;Ahn, Joong-Hoon
    • Journal of Microbiology and Biotechnology
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    • v.14 no.3
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    • pp.643-645
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    • 2004
  • A $\beta$-xylosidase was purified from the culture of Trichoderma sp. SY. The ten-day-old culture filtrate was concentrated, followed by ion-exchange chromatography and gel filtration chromatography. As a result, $\beta$-xylosidase was finally purified about 53-fold and appeared as a single band by SDS-PAGE. The optimum pH and temperature were 5.0 and $55^{\circ}C$, respectively, and the molecular weight about 80 kDa. The purified $\beta$-xylosidase was found to be inhibited by various metal ions but not inhibited by xylose.

Distributed Estimation Using Non-regular Quantized Data

  • Kim, Yoon Hak
    • Journal of information and communication convergence engineering
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    • v.15 no.1
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    • pp.7-13
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    • 2017
  • We consider a distributed estimation where many nodes remotely placed at known locations collect the measurements of the parameter of interest, quantize these measurements, and transmit the quantized data to a fusion node; this fusion node performs the parameter estimation. Noting that quantizers at nodes should operate in a non-regular framework where multiple codewords or quantization partitions can be mapped from a single measurement to improve the system performance, we propose a low-weight estimation algorithm that finds the most feasible combination of codewords. This combination is found by computing the weighted sum of the possible combinations whose weights are obtained by counting their occurrence in a learning process. Otherwise, tremendous complexity will be inevitable due to multiple codewords or partitions interpreted from non-regular quantized data. We conduct extensive experiments to demonstrate that the proposed algorithm provides a statistically significant performance gain with low complexity as compared to typical estimation techniques.

Fusion Zone Characteristics of Dissimilar Aluminum Alloys Joining (이종 알루미늄 합금 용접의 용융부 특성 연구)

  • Park, Seon-Hong;Park, Byeong-Cheol;Kim, Yeong-Gi;Baek, Ung-Ryul
    • Proceedings of the KWS Conference
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    • 2007.11a
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    • pp.141-143
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    • 2007
  • Increasing demand of using low weight materials in recent automotive trends has been the challenge to develop a sound welding of aluminum alloys. A heat treatable AA6082-T6 and a non-heat treatable AA5083-0 aluminum alloys were joined in this study. Investigations revealed that about 60 UTS will be reduced due to welding process. Fracture happened in the interface between fusion zone and base metal of top specimen where penetration is shallow. Therefore, lower welding torch angle produced the better strength which allows deeper penetration to the top specimen. PWHT at $560^{\circ}C$ for 2 hours can be used to return the original UTS of the specimens.

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A Sensor Module Overcoming Thick Smoke through Investigation of Fire Characteristics (화재 특성 고찰을 통한 농연 극복 센서 모듈)

  • Cho, Min-Young;Shin, Dong-In;Jun, Sewoong
    • The Journal of Korea Robotics Society
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    • v.13 no.4
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    • pp.237-247
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    • 2018
  • In this paper, we describe a sensor module that monitors fire environment by analyzing fire characteristics. We analyzed the smoke characteristics of indoor fire. Six different environments were defined according to the type of smoke and the flame, and the sensors available for each environment were combined. Based on this analysis, the sensors were selected from the perspective of firefighter. The sensor module consists of an RGB camera, an infrared camera and a radar. It is designed with minimum weight to fit on the robot. the enclosure of sensor is designed to protect against the radiant heat of the fire scene. We propose a single camera mode, thermal stereo mode, data fusion mode, and radar mode that can be used depending on the fire scene. Thermal stereo was effectively refined using an image segmentation algorithm, SLIC (Simple Linear Iterative Clustering). In order to reproduce the fire scene, three fire test environments were built and each sensor was verified.

Design of the Spur Gear with Honeycomb Lattice Structure and PBF Printing

  • Chul-Kyu Jin
    • Journal of the Korean Society of Industry Convergence
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    • v.26 no.4_1
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    • pp.529-536
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    • 2023
  • In this study, the spur gear with honeycomb lattice structures are designed. The pitch diameter and body length of the spur gear are Ø93 mm and 104.0 mm, respectively. The designed gear was printed using Powder bed fusion (PBF) 3D printer. The gear is 3D printed perfectly. Even the teeth and honeycombs of the gear were output in the same way as the design shape. The printed gear with honeycomb lattice structure has a 24% smaller cross-sectional area and 29% smaller volume and weight than conventional solid structure gears. The surface roughness is approximately 4.5㎛, and the hardness is 345 HV.

The Effect of Addition of Ti and Co Elements on Microstructural control and Characteristics of Vacuum-casted Cu-25 wt%Cr Electrical Contact Material (Ti과 Co 첨가가 진공주조법으로 제조된 Cu-25 wt%Cr 난가공성 중고압용 전기접점 소재의 미세구조 제어 및 물성에 미치는 영향)

  • Hye Sung Kim
    • Journal of the Korean Society for Heat Treatment
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    • v.37 no.4
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    • pp.172-181
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    • 2024
  • In this study, the effect of addition of Ti and Co elements on microstructural evolution and characteristics of vacuum-casted Cu-25%Cr electrical contact material was investigated. The coarse and insoluble Cr phases with an average size of 300 ㎛ in commercial Cu-25%Cr alloy were reduced to tens of micrometers in vacuum casted Cu-25%Cr-X(X=Ti, Co) alloy, which can be interpreted as result controlling coarsening and the work-frame structure of the insoluble Cr phase by the formation of intermetallic compounds such as Cr2Ti or Cr0.5Co1.5Ti around the Cr phase As a result, the electrical properties such as weight loss and fusion resistance against the repeated arc generation of the electrical contact material as well as the mechanical properties were greatly improved.

Multisensor Data Combination Using Fuzzy Weighted Average (퍼지 가중 평균을 이용한 다중 센서 데이타 융합)

  • Kim, Wan-Joo;Ko, Joong-Hyup;Chung, Myung-Jin
    • Proceedings of the KIEE Conference
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    • 1993.07a
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    • pp.383-386
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    • 1993
  • In this paper, we propose a sensory data combination method by a fuzzy number approach for multisensor data fusion. Generally, the weighting of one sensory data with respect to another is derived from measures of the relative reliabilities of the two sensory modules. But the relative weight of two sensory data can be approximately determined through human experiences or insufficient experimental data without difficulty. We represent these relative weight using appropriate fuzzy numbers as well as sensory data itself. Using the relative weight, which is subjective valuation, and a fuzzy-numbered sensor data, the fuzzy weighted average method is used for a representative sensory data. The manipulation and calculation of fuzzy numbers can be carried out using the Zadeh's extension principle which can be approximately implemented by the $\alpha$-cut representation of fuzzy numbers and interval analysis.

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Patch based Multi-Exposure Image Fusion using Unsharp Masking and Gamma Transformation (언샤프 마스킹과 감마 변환을 이용한 패치 기반의 다중 노출 영상 융합)

  • Kim, Jihwan;Choi, Hyunho;Jeong, Jechang
    • Journal of Broadcast Engineering
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    • v.22 no.6
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    • pp.702-712
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    • 2017
  • In this paper, we propose an unsharp masking algorithm using Laplacian as a weight map for the signal structure and a gamma transformation algorithm using image mean intensity as a weight map for mean intensity. The conventional weight map based on the patch has a disadvantage in that the brightness in the image is shifted to one side in the signal structure and the mean intensity region. So the detailed information is lost. In this paper, we improved the detail using unsharp masking of patch unit and proposed linearly combined the gamma transformed values using the average brightness values of the global and local images. Through the proposed algorithm, the detail information such as edges are preserved and the subjective image quality is improved by adjusting the brightness of the light. Experiment results show that the proposed algorithm show better performance than conventional algorithm.