• Title/Summary/Keyword: edge patterns

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The Design of Dynamic Fog Cloud System using mDBaaS

  • Hwang, Chigon;Shin, Hyoyoung;Lee, Jong-Yong;Jung, Kyedong
    • International Journal of Internet, Broadcasting and Communication
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    • v.9 no.4
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    • pp.59-66
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    • 2017
  • Cloud computing has evolved into a core computing infrastructure for the internet that encompasses content, as well as communications, applications and commerce. By providing powerful computing and communications capabilities in the palm of the hand everywhere with a variety of smart devices, mobile applications such as virtual reality, sensing and navigation have emerged and radically changed the patterns people live. The data that is generated is getting bigger. Cloud computing, on the other hand, has problems with system load and speed due to the collection, processing and control of remote data. To solve this problem, fog computing has been proposed in which data is collected and processed at an edge. In this paper, we propose a system that dynamically selects a fog server that acts as a cloud in the edge. It serves as a mediator in the cloud, and provides information on the services and systems belonging to the cloud to the mobile device so that the mobile device can act as a fog. When the role of the fog system is complete, we provide it to the cloud to virtualize the fog. The heterogeneous problem of data of mobile nodes can be solved by using mDBaaS (Mobile DataBase as a Service) and we propose a system design method for this.

Recognition of Traffic Signs using Wavelet Transform and Shape Information (웨이블릿 변환과 형태 정보를 이용한 교통 표지판 인식)

  • 오준택;곽현욱;김욱현
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.41 no.5
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    • pp.125-134
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    • 2004
  • This paper proposes a method for recognition of traffic signs using wavelet transform and shape information from the segmented traffic sign regions. It first segments traffic sign candidate regions by connected component algorithm from binary images, obtained by utilizing the RGB color ratio of each pixel in the image, and then extracts actual traffic sign regions based on their symmetries on X- and Y-axes. In the recognition stage, it utilizes shape information including moment edge correlogram and the number of crossings which concentric circular patterns from region center intersects with frequency information extracted by wavelet transform It finally performs recognition by measuring similarity with the templates in the database. The experimental results show the validity of the proposed method from geometric transformations and environmental factors.

An Experimental Study on the flow Characteristics of a Supersonic Turbine Cascade as the Leading Edge Shape and the Nozzle-Cascade Cap (초음속 터번 익렬 앞전 형상 및 노즐-익렬 간격에 따른 유동 특성에 대한 실험적 연구)

  • Cho Jong-Jae;Kim Kui-Soon;Kim Jin-Han;Jeong Eun-Hwan;Jeong Ho-Kyung
    • Journal of the Korean Society of Propulsion Engineers
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    • v.9 no.4
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    • pp.66-72
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    • 2005
  • In this paper, a small supersonic wind tunnel is designed and built to study the flow characteristics of a supersonic impulse turbine cascade. The flow is visualized by means of a single pass Schlieren system. The supersonic cascade with 2-dimensional supersonic nozzle was tested for various blade leading edge shapes and gaps between the nozzle and cascade. Highly complicated flow patterns including shocks, nozzle-cascade interaction and shock boundary layer interactions are observed.

An Effective Moving Cast Shadow Removal in Gray Level Video for Intelligent Visual Surveillance (지능 영상 감시를 위한 흑백 영상 데이터에서의 효과적인 이동 투영 음영 제거)

  • Nguyen, Thanh Binh;Chung, Sun-Tae;Cho, Seongwon
    • Journal of Korea Multimedia Society
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    • v.17 no.4
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    • pp.420-432
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    • 2014
  • In detection of moving objects from video sequences, an essential process for intelligent visual surveillance, the cast shadows accompanying moving objects are different from background so that they may be easily extracted as foreground object blobs, which causes errors in localization, segmentation, tracking and classification of objects. Most of the previous research results about moving cast shadow detection and removal usually utilize color information about objects and scenes. In this paper, we proposes a novel cast shadow removal method of moving objects in gray level video data for visual surveillance application. The proposed method utilizes observations about edge patterns in the shadow region in the current frame and the corresponding region in the background scene, and applies Laplacian edge detector to the blob regions in the current frame and the corresponding regions in the background scene. Then, the product of the outcomes of application determines moving object blob pixels from the blob pixels in the foreground mask. The minimal rectangle regions containing all blob pixles classified as moving object pixels are extracted. The proposed method is simple but turns out practically very effective for Adative Gaussian Mixture Model-based object detection of intelligent visual surveillance applications, which is verified through experiments.

Object Recognition Using Hausdorff Distance and Image Matching Algorithm (Hausdorff Distance와 이미지정합 알고리듬을 이용한 물체인식)

  • Kim, Dong-Gi;Lee, Wan-Jae;Gang, Lee-Seok
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.25 no.5
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    • pp.841-849
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    • 2001
  • The pixel information of the object was obtained sequentially and pixels were clustered to a label by the line labeling method. Feature points were determined by finding the slope for edge pixels after selecting the fixed number of edge pixels. The slope was estimated by the least square method to reduce the detection error. Once a matching point was determined by comparing the feature information of the object and the pattern, the parameters for translation, scaling and rotation were obtained by selecting the longer line of the two which passed through the matching point from left and right sides. Finally, modified Hausdorff Distance has been used to identify the similarity between the object and the given pattern. The multi-label method was developed for recognizing the patterns with more than one label, which performs the modified Hausdorff Distance twice. Experiments have been performed to verify the performance of the proposed algorithm and method for simple target image, complex target image, simple pattern, and complex pattern as well as the partially hidden object. It was proved via experiments that the proposed image matching algorithm for recognizing the object had a good performance of matching.

Numerical Analysis of a Tip Leakage Vortex in an Axial Flow Fan (축류홴 익단누설와류의 수치적 해석)

  • Jang, Choon-Man;Kim, Kwang-Yong
    • The KSFM Journal of Fluid Machinery
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    • v.7 no.1 s.22
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    • pp.36-44
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    • 2004
  • Three-dimensional vortical flow and separated flow topology near the casing wall in an axial flow fan having two different tip clearances have been investigated by a Reynolds-averaged Navier-Stokes (RANS) flow simulation. The simulation shows that the tip leakage vortex formed close to the leading edge of the blade tip on suction side grows in the streamwise direction. On the casing wall, a separation line is formed upstream of the leakage vortex center due to the interference between the leakage vortex and main flow. The reverse flow is observed between the separation line and the attachment line generated downstream of the trailing edge, and increased with enlarging tip clearance. The patterns of a leakage velocity vector including a leakage flow rate are also analyzed according to two tip clearances. It is noted that the understanding of the distribution of a limiting streamline on the casing wall is very important to grasp the characteristics of the vortical flow in the axial flow fan.

Motion Compensation by Affine Transform using Polygonal Matching Algorithm (다각형 정합 알고리듬을 이용한 affine 변환 움직임 보상)

  • Park, Hyo-Seok;Hwang, Chan-Sik
    • Journal of the Korean Institute of Telematics and Electronics S
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    • v.36S no.1
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    • pp.60-69
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    • 1999
  • Motion compensation by affine transform has been proposed as a solution to the artifact problems in very low bit rate video coding and a HMA(Hexagoanl Matching Algorithm) has been proposed for refine motions estimation. When dividing images with an affine transform, as image objects do not necessarily conform to triangle patterns. In this paper we propose a method that first divides an image into triangular patches according to its edge information and then further divides the image into more detailed triangular patches where more complicated edge information occurs. We image propose a PMA(Polygona Matching Algorithm) for refine motion estimation because of the different triangle pattern types of neighboring blocks and its performance is compared with H.263.

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Fabrication of Micro/nanoscale Cutting Tool Geometry of Single Crystal Diamond Tool by Focused Ion Beam (집속이온빔(Focused Ion Beam)에 의한 단결정 다이아몬드 공구의 마이크로/나노스케일 절삭공구 형상 제작)

  • Baek, Seung Yub;Jang, Sung Min
    • Journal of the Korean Society for Precision Engineering
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    • v.31 no.3
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    • pp.207-213
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    • 2014
  • A study was carried out to fabricate the cutting tool geometry with micro/nanoscale on the single crystal diamond tool by using the FIB. The FIB technique is an ideal tool for TEM sample preparation that allows for the fabrication of electron-transparent foils. The FIB is appropriate techniques to sample and subsequently define the chemical composition and the structural state of mineral inclusion on the micro/nanoscale. The combination of FIB with a SEM allows for 3D information to be obtained from samples including 3D imaging. Cutting strategies were demonstrated to improve the performance of cutting tool geometry and to generate high aspect ratio micro cutting tool. A finely focused beam of 30keV Ga+ ions was used to mill cutting tool shapes for various micro patterns. Therefore FIB sputtering is used to shape a variety of cutting tools with dimensions in the $1-5{\mu}m$ range and cutting edge radii of curvature of under 50nm.

A Privacy-preserving and Energy-efficient Offloading Algorithm based on Lyapunov Optimization

  • Chen, Lu;Tang, Hongbo;Zhao, Yu;You, Wei;Wang, Kai
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.16 no.8
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    • pp.2490-2506
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    • 2022
  • In Mobile Edge Computing (MEC), attackers can speculate and mine sensitive user information by eavesdropping wireless channel status and offloading usage pattern, leading to user privacy leakage. To solve this problem, this paper proposes a Privacy-preserving and Energy-efficient Offloading Algorithm (PEOA) based on Lyapunov optimization. In this method, a continuous Markov process offloading model with a buffer queue strategy is built first. Then the amount of privacy of offloading usage pattern in wireless channel is defined. Finally, by introducing the Lyapunov optimization, the problem of minimum average energy consumption in continuous state transition process with privacy constraints in the infinite time domain is transformed into the minimum value problem of each timeslot, which reduces the complexity of algorithms and helps obtain the optimal solution while maintaining low energy consumption. The experimental results show that, compared with other methods, PEOA can maintain the amount of privacy accumulation in the system near zero, while sustaining low average energy consumption costs. This makes it difficult for attackers to infer sensitive user information through offloading usage patterns, thus effectively protecting user privacy and safety.

The value and utilization of Pyojihwajomoonkeum (silk fabric with lingering flowers and bird patterns) - Focusing on Baekje cultural area storyteller clothing - (표지화조문금(縹地花鳥紋錦)의 가치와 활용 - 백제문화권 스토리텔러복을 중심으로 -)

  • Ra, Sun-Jung
    • Journal of the Korea Fashion and Costume Design Association
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    • v.23 no.2
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    • pp.147-153
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    • 2021
  • Baekje patterned Pyojihwajomoonkeum is a fabric that expresses Baekje's unique culture possessed by Shosoin(正倉院) in Japan. Reflecting the close exchange relationship with the Chinese Southern Dynasties, these patterns are suitable as good examples to grasp the forms and atmosphere that prevailed during that era. Through the analysis of many pieces, it has been identified that the patterns were unique to Baekje. With an aim to ascertain and restore the original form of Pyojihwajomoonkeum, designs were proposed utilizing Pyojihwajomoonkeum as a form of storyteller clothing that fits the modern sense. Fabric was designed by continuously repeating the colors and patterns of Pyojihwajomoonkeum upward, downward, leftward, and rightward and woven with a Jacquard loom. The fabric woven was dried, processed, and used to make a total of four pieces of storyteller clothing consisting of men's wear, comprising a jeogori and pants, and women's wear comprising a jeogori and skirt. The top jacket was long enough that the hip is covered. It has wide sleeves and linear decorations were attached to the collar, lower edge of sleeve, and bottom hem. The pants are wide legged, the top is wide, and the bottom hem had linear decorations attached. What is the most important when using the original form of a traditional culture is processing the raw materials following cultural traditions to create value. Costumes of an era are the combination of individual elements and represent the culture of that era. Therefore, a consideration of the origin and prevailing ideas of the era must be considered. It is anticipated that this paper will serve as a basis for leading such a process, followed by studies on the utilization of the original form of Baekje culture.