• Title/Summary/Keyword: split and merge

Search Result 68, Processing Time 0.026 seconds

Design and Implementation of Kernel-Level Split and Merge Operations for Efficient File Transfer in Cyber-Physical System (사이버 물리 시스템에서 효율적인 파일 전송을 위한 커널 레벨 분할 및 결합 연산의 설계와 구현)

  • Park, Hyunchan;Jang, Jun-Hee;Lee, Junseok
    • IEMEK Journal of Embedded Systems and Applications
    • /
    • v.14 no.5
    • /
    • pp.249-258
    • /
    • 2019
  • In the cyber-physical system, big data collected from numerous sensors and IoT devices is transferred to the Cloud for processing and analysis. When transferring data to the Cloud, merging data into one single file is more efficient than using the data in the form of split files. However, current merging and splitting operations are performed at the user-level and require many I / O requests to memory and storage devices, which is very inefficient and time-consuming. To solve this problem, this paper proposes kernel-level partitioning and combining operations. At the kernel level, splitting and merging files can be done with very little overhead by modifying the file system metadata. We have designed the proposed algorithm in detail and implemented it in the Linux Ext4 file system. In our experiments with the real Cloud storage system, our technique has achieved a transfer time of up to only 17% compared to the case of transferring split files. It also confirmed that the time required can be reduced by up to 0.5% compared to the existing user-level method.

A Method for the Region Segmentation for Satellite Images using Region Split and Merge (영역 분할 및 합병 기법을 이용한 위성 영상 영역 분할 방법)

  • Chun, Byung-Tae;Jang, Dae-Geun
    • Journal of the Korea Society of Computer and Information
    • /
    • v.12 no.2 s.46
    • /
    • pp.47-52
    • /
    • 2007
  • Conventional pixel based region segmentation methods have problems of long processing time and incorrect region split on account of performing region split through comparison of neighboring pixels. In this paper, we propose the method which segments a large size of satellite image effectively using modified centroid linkage method. This method is a sort of region split and merge. The proposed method merges pixels and makes them as a new region through only two directional comparing the current positioning pixel with neighbor ones, if they are satisfied with given conditions. Therefore, this method has less comparing time than the cases of previous ones. The experimental result shows that the proposed method is very efficient because of having less processing time and more exact segmented regions than the previous ones.

  • PDF

Segmentation of Motion Vector Using Seeded Split-Merge Clustering (SSM 클러스터링을 이용한 동작벡터의 분할)

  • 이동하;장석우;최형일
    • Proceedings of the Korean Information Science Society Conference
    • /
    • 2000.04b
    • /
    • pp.493-495
    • /
    • 2000
  • 동영상에서 동작물체 영역과 배경 영역을 추출하는 방법에는 크게 원본 영상들의 특징값을 이용하는 방법, 동작벡터 혹은 광류를 이용하는 방법, 그리고 동작벡터와 원본영상을 모두 이용하는 방법의 세가지가 있다. 이중 많이 사용되고 있는 동작벡터를 이용하는 방법에는 히스토그램을 이용하는 방법과 동작벡터의 특징값에 대한 클러스터링을 이용해 분할 하는 방법이 있는데. 이들 기존 방법은 몇가지 문제점을 가지고 있다. 전자는 구현이 간단하나 세부적인 영역분할이 어렵다는 문제점이 있고, 후자는 일반적으로 높은 계산 복잡도를 가지며 초기 클러스터 개수 선정에 문제를 지니고 있다. 본 논문에서는 낮은 계산 복잡도를 가지며 클러스터 할당과 병합된 클러스터 중심 계산에 있어 보다 적응적인 Seeded Split-Merge 클러스터링 방법을 제안한다.

  • PDF

Vehicle Detection Scheme Based on a Boosting Classifier with Histogram of Oriented Gradient (HOG) Features and Image Segmentation] (HOG 특징 및 영상분할을 이용한 부스팅분류 기반 자동차 검출 기법)

  • Choi, Mi-Soon;Lee, Jeong-Hwan;Roh, Tae-Moon;Shim, Jae-Chang
    • Journal of KIISE:Computing Practices and Letters
    • /
    • v.16 no.10
    • /
    • pp.955-961
    • /
    • 2010
  • In this paper, we describe a study of a vehicle detection method based on a Boosting Classifier which uses Histogram of Oriented Gradient (HOG) features and Image Segmentation techniques. An input image is segmented by means of a split and merge algorithm. Then, the two largest segmented regions are removed in order to reduce the search region and speed up processing time. The HOG features are then calculated for each pixel in the search region. In order to detect the vehicle region we used the AdaBoost (adaptive boost) method, which is well known for classifying samples with two classes. To evaluate the performance of the proposed method, 537 training images were used to train and learn the classifier, followed by 500 non-training images to provide the recognition rate. From these experiments we were able to detect the proper image 98.34% of the time for the 500 non-training images. In conclusion, the proposed method can be used for detecting the location of a vehicle in an intelligent vehicle control system.

A Study on the Transmission Overload Relief by Fast Switching (고속 스위칭에 의한 송전선로 과부하 해소 연구)

  • Cho, Yoon-Sung;Lee, Han-Sang;Jang, Gilsoo
    • The Transactions of The Korean Institute of Electrical Engineers
    • /
    • v.62 no.8
    • /
    • pp.1053-1058
    • /
    • 2013
  • Because of computational burden and complex topology of substation, a transmission overload relief using circuit-breaker switching was very complex and difficult. However, a on-line algorithm for reducing the overloads in transmission lines has made progress due to the advance of IT technology. This paper describes the methodology for alleviating the overloads in transmission lines by circuit-breaker switching. First, the severe contingency lists and substations were selected from the results of contingency analysis. Then the switch combinations are determined using circuit-breakers of the selected substation. The topology changes are limited to equipment outage, bus split, island split, bus merge and island merge. Finally, the fast screening and full analysis methods are used to analyze the overload in transmission lines. To verify the performance of the proposed methodology, we performed a comprehensive test for both test system and large-scale power systems. The results of these tests showed that the proposed methodology can accurately alleviate the overloads in transmission lines from online data and can be applied to on-line applications.

Automatic Extraction of UV patterns for Paper Money Inspection (지폐검사를 위한 UV 패턴의 자동추출)

  • Lee, Geon-Ho;Park, Tae-Hyoung
    • Journal of the Korean Institute of Intelligent Systems
    • /
    • v.21 no.3
    • /
    • pp.365-371
    • /
    • 2011
  • Most recently issued paper money includes security patterns that can be only identified by ultra violet (UV) illuminations. We propose an automatic extraction method of UV patterns for paper money inspection systems. The image acquired by camera and UV illumination is transformed to input data through preprocessing. And then, the Gaussian mixture model (GMM) and split-and-merge expectation maximization (SMEM) algorithm are applied to segment the image represented by input data. In order to extract the UV pattern from the segmented image, we develop a criterion using the area of covariance vector and the weight value. The experimental results on various paper money are presented to verify the usefulness of the proposed method.

A study on segmentation of medical image using fuzzy set theory (퍼지 이론을 이용한 의료 영상 특징 추출에 관한 연구)

  • 김형석;한영오;박상희
    • 제어로봇시스템학회:학술대회논문집
    • /
    • 1991.10a
    • /
    • pp.741-745
    • /
    • 1991
  • This paper describes a feature extraction in digitized chest X-ray image and CT head Image. There are Extraction, Thresholding, Region G rowing, Split-Merge and Relaxation in feature extraction technique. In this study, Region Growing System was realized and Fuzzy Set Theory was applied in order to extract the vague region which the conventional method has difficulties in extracting. The performance of proposed algorithm was proved by being applied to chest X-ray image and CT head image.

  • PDF

Splitting and Merging Algorithm Based on Local Statistics of Sub-Regions in Document Image

  • Thapaliya, Kiran;Park, Il-Cheol;Kwon, Goo-Rak
    • Journal of information and communication convergence engineering
    • /
    • v.9 no.5
    • /
    • pp.487-490
    • /
    • 2011
  • This paper presents splitting and merging algorithm based on adaptive thresholding. The algorithm first divides the image into blocks, and then compares each block using the calculated thresholding value. The blocks which are same are merged using the certain threshold value and different blocks are split unless it satisfies the threshold value. When the block has been merged, maximum and minimum block sizes are determined then the average block size is determined. After the average block size is determined the average intensity and standard deviation of average block is calculated. The process of thresholding is applied to binarize the image. Finally, the experimental results show that the proposed method distinguishes clearly the background with text in the document image.

Implementation of Disk I/O Sub System in Large Scale Video On Demand Sewer (대규모 VOD서버에서의 DISK I/O SUB SYSTEM의 구현)

  • 선창우;최경희;정기현
    • Proceedings of the IEEK Conference
    • /
    • 1999.11a
    • /
    • pp.1053-1056
    • /
    • 1999
  • Video On Demand servers generally require massive disk storages for storing many video data. Many researches have been done on the topics of efficient allocation of movies in disks. This paper, We describe efficient disk placement techniques and implement storage system with SCSI and PCI Bus interface for efficient data handling. This paper also proposes a logical zone reconstruction method for the SCAN data placement technique. The proposed method reconstructs physical zones into logical zones by split and merge operations.

  • PDF

Interaction of Tip Vortices Generated by a Split Wing

  • Youn, Won Suk;Han, Yong Oun;Lee, Dong Yeon
    • International Journal of Aeronautical and Space Sciences
    • /
    • v.2 no.2
    • /
    • pp.39-45
    • /
    • 2001
  • To reduce the strength of tip vortex of the fixed wing, a horizontal wing-let splitted into two parts was utilized, and the interaction between vortices generated by these wing-lets was investigated by the hot-wire anemometry. The process of vortex forming and merging was clarified by measurements of velocity vectors and their contours at five downstream cross-sections; 0.05C(chord length), 0.2C, 0.5C, 1.0C and 2.0C. Both vortex-lets formed by each wing-lets rotate counterclockwise and merge into a larger single vortex within a short downstream distance, 0.5C in this case. The strength of the merged tip vortex turned out to become smaller than that of the plain wing tip near the vortex core.

  • PDF