Search Results - "Changhyun Byun"

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  1. 1

    Study on the Viability of Canine Nose Pattern as a Unique Biometric Marker by Choi, Hyeong In, Kim, Mu-Young, Yoon, Hun-Young, Lee, Sungjin, Choi, Stephanie Sujin, Han, Chang Yong, Moon, Hwan Pyo, Byun, Changhyun, Kwon, Song-Hwa

    Published in Animals (Basel) (25-11-2021)
    “…The uniqueness of the canine nose pattern was studied. A total of 180 nose images of 60 dogs of diverse age, gender, and breed were collected. The canine nose…”
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    Journal Article
  2. 2

    Efficient Keyword-Related Data Collection in a Social Network with Weighted Seed Selection by Byun, Changhyun, Lee, Hyeoncheol, You, Jongsung, Kim, Yanggon

    “…Data mining in a social can yield interesting perspectives to understanding human behavior or detecting topics or communities. However, it is difficult to…”
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    Journal Article
  3. 3

    Dynamic Seed Analysis in a Social Network for Maximizing Efficiency of Data Collection by Changhyun Byun, Hyeoncheol Lee, Jongsung You, Yanggon Kim

    “…Applying data mining techniques to social media can yield interesting perspectives to understanding individual and human behavior, detecting hot issues and…”
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    Conference Proceeding
  4. 4

    Context-Aware Inference (CAI) Model on Smart Computing Environment by Kyungeun Park, Changhyun Byun, Jekuk Yun, Juno Chang, Yanggon Kim

    “…With the proliferation of smart computing equipment, the range of providing highly intelligent services is widely expanding in an attempt to include the…”
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    Conference Proceeding
  5. 5

    The XCREAM Framework and Collaboration Validity Tests by Kyungeun Park, Jekuk Yun, Changhyun Byun, Yanggon Kim, Juno Chang

    “…The purpose of the XCREAM (XLogic Collaborative RFID/USN-Enabled Adaptive Middleware) is to enable collaboration among many RFID/USN-enabled applications by…”
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    Conference Proceeding
  6. 6

    Twitter data collecting tool with rule‐based filtering and analysis module by Byun, Changhyun, Lee, Hyeoncheol, Kim, Yanggon, Ko Kim, Kwangmi

    “…Purpose - It is difficult to build our own social data set because data in social media is generally too vast and noisy. The aim of this study is to specify…”
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    Journal Article