• Title/Summary/Keyword: Chang Hyun-kwang

Search Result 962, Processing Time 0.034 seconds

Discovery of Association Rules Using Latent Variables

  • Park, Hee-Chang;Cho, Kwang-Hyun
    • Journal of the Korean Data and Information Science Society
    • /
    • v.17 no.1
    • /
    • pp.149-160
    • /
    • 2006
  • Association rule mining searches for interesting relationships among items in a given large data set. Association rules are frequently used by retail stores to assist in marketing, advertising, floor placement, and inventory control. There are three primary threshold measures in association rule; support and confidence and lift. In the case of appling real world to association rules, we have some difficulties in data interpretation because we obtain many rules. In this paper, we develop the model of association rules using latent variables for environmental survey data.

  • PDF

A Study on the Enhancement of Tracking Capability for Iris Image

  • Chai, Duck-Hyun;Kim, Jung-Tae;Hur, Chang-Wu;Ryu, Kwang-Ryol
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
    • /
    • 2004.05a
    • /
    • pp.24-27
    • /
    • 2004
  • An enhancement of tracking capacity to find a position of the Iris images is presented in this paper. The propose algorithm is called FFDP (Four Points Diagonal Positioning) that the image is positioned with arbitrary 4 points on the edge of iris and the selective 4 points are drawn by a diagonal line on the cross. The experiment result shows that the algorithm is efficient to track on the eyelid.

  • PDF

An Improved Text Classification (향상된 텍스트 분류)

  • Wang, Guangxing;Shin, Seong-Yoon;Shin, Kwang-Weong;Lee, Hyun-Chang
    • Proceedings of the Korean Society of Computer Information Conference
    • /
    • 2019.01a
    • /
    • pp.125-126
    • /
    • 2019
  • In this paper, we propose an improved kNN classification method. Through improved the mothed and normalizing the data, the purpose of improving the accuracy is achieved. Then we compared the three classification algorithms and the improved algorithm by experimental data.

  • PDF

Evaluation of L-FMUS as a potent anti-HBV agent

  • Woo, Seong-Ju;Lee, Hae-Sung;Cheong, Min-Young;Ahn, Kwang-Hyun;Park, Ki-Seok;Koo, Chang-Hui
    • Proceedings of the PSK Conference
    • /
    • 2003.04a
    • /
    • pp.242.1-242.1
    • /
    • 2003
  • The nucleoside analogue, L-FMUS was synthesized from L-FMAU which has been shown to have significant antiviral activity against hepatitis B virus (HBV). It was prepared by two steps. First, 5'hydroxyl of L-FMAU was substituted by thioacetyl group using diisopropylazodicarboxylate(DIAD), Triphenyl phosphine(PPh3) and thioacetic acid in anhydrous THF. (omitted)

  • PDF

Improving Performance Evaluation Function of SRCNN and VDSR (SRCNN과 VDSR의 성능 평가 함수 개선)

  • Shin, Seong-Yoon;Lee, Hyun-Chang;Shin, Kwang-Seong
    • Proceedings of the Korean Society of Computer Information Conference
    • /
    • 2021.07a
    • /
    • pp.683-684
    • /
    • 2021
  • 논문은 재구성에 기반을 둔 초 해상도 알고리즘 모델에서 SRCNN과 VDSR의 전반에 걸쳐 구조와 성능에 대하여 알아본다. SRCNN 모델과 VDSR 모델의 구조와 각 방법의 알고리즘 프로세스를 간단히 소개하고 성능 평가 함수의 개선에 대하여 알아보도록 한다.

  • PDF

Image Classification Method Using Learning (학습을 이용한 영상 분류 방법)

  • Shin, Seong-Yoon;Lee, Hyun-Chang;Shin, Kwang-Seong
    • Proceedings of the Korean Society of Computer Information Conference
    • /
    • 2021.01a
    • /
    • pp.285-286
    • /
    • 2021
  • 본 논문에서는 변환 학습을 기반으로 한 다중 클래스 이미지 장면 분류 방법을 제안하도록 한다. ImageNet 대형 이미지 데이터 세트에서 사전 훈련 된 네트워크 모델을 사용하여 다중 클래스의 자연 장면 이미지를 분류하였다. 실험에서 최적화 된 ResNet 모델은 Kaggle의 Intel Image Classification 데이터 세트에 분류되어 우수한 결과를 얻었다.

  • PDF