Search Results - "Lee, Byungtak"

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  1. 1

    Probabilistic Forecasting Based Joint Detection and Imputation of Clustered Bad Data in Residential Electricity Loads by Park, Soyeong, Yoon, Seungwook, Lee, Byungtak, Ko, Seokkap, Hwang, Euiseok

    Published in Energies (Basel) (01-01-2021)
    “…Residential electricity load data can include numerous types of bad data, even clustered bad data, as they that are typically captured by simple measurement…”
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    Journal Article
  2. 2

    Implementation of embedded Linux platform based vehicle feature extractor for ITS by HongYeon Yu, SeungChul Son, NacWoo Kim, ByungTak Lee

    “…This paper propose the vision based vehicle feature extractor which can be operated on the low performance embedded linux platform. In addition, we implement…”
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    Conference Proceeding
  3. 3

    A study on CEP performance in mobile embedded system by Kim Jaein, Kim Nacwoo, Yoon Simkwon, Lee Byungtak

    “…Data streams are infinite and continuous, so it's difficult to treat the data streams by using existing DBMS. The CEP engine which is one solution for data…”
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    Conference Proceeding
  4. 4

    Implementation of WSN application service using people detection algorithm by HongYeon Yu, SeungChul Son, NacWoo Kim, Byungtak Lee

    “…In this paper, we implements intrusion detection system for video surveillance which works well in wireless sensor networks (WSN) environment. Our system has…”
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    Conference Proceeding
  5. 5

    RUBA: Real-time unstructured big data analysis framework by Jaein Kim, Nacwoo Kim, Byungtak Lee, Joonho Park, Kwangik Seo, Hunyoung Park

    “…We are greeting "Big Data Generation". As ICT technology is developing, the volume of data is incredibly growing and many works to deal with a big data are…”
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    Conference Proceeding
  6. 6

    Health management technology for estimating the remaining useful life of household appliances by Kim, NacWoo, Lee, HyunYong, Lee, JunGi, Lee, ByungTak

    “…In this paper, we propose a new time series-based domain adaptation technique for health management in home devices. Because it is based on domain adversarial…”
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    Conference Proceeding
  7. 7

    Sound-based anomaly detection using a locally constrained capsule network by Kim, NacWoo, Lee, HyunYong, Lee, JunGi, Lee, ByungTak

    “…In this study, we propose a new technique for abnormal acoustic diagnosis based on a locally constrained capsule network architecture. The newly designed…”
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    Conference Proceeding
  8. 8

    Transformer based prediction method for solar power generation data by Kim, NacWoo, Lee, HyunYong, Lee, JunGi, Lee, ByungTak

    “…In this paper, we propose a technique to increase the precision of solar power generation data prediction by using a time-series-based transformer deep…”
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    Conference Proceeding
  9. 9

    A study on the sleep quality analysis of single-person households based on life pattern data using ambient sensors by Lee, Jungi, Lee, Sangjoon, Park, Sangjun, Lee, ByungTak

    “…As the aging of society progresses, problems such as the death of loneliness are emerging as social problems. Also, for this reason, the workload of social…”
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    Conference Proceeding
  10. 10

    Comparative study in anomaly diagnosis technique for time series data by Kim, NacWoo, Lee, HyunYong, Lee, JunGi, Lee, ByungTak

    “…In this paper, by comparing the values of the anomaly index in various anomaly diagnosis techniques on the same dataset, it is intended to help in selecting an…”
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    Conference Proceeding
  11. 11

    A Study on Online ARIMA Algorithms applying various gradient descent optimization algorithms for Time Series Prediction by Lee, Jungi, Lee, HyunYong, Kim, NacWoo, Lee, ByungTak

    “…The prediction of time series data can be used in various fields, and many research for this is required. This paper has researched about applying various…”
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    Conference Proceeding
  12. 12

    Power Quality Problem Classification Methods Based on Active Transfer Learning by Oh, Seungmin, Ko, Seokgap, Kim, Eden, Lee, ByungTak

    “…In this paper, we propose approach for classification of power quality problem using active transfer learning. Active learning is suitable for solving problems…”
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    Conference Proceeding
  13. 13

    Acoustic Feature based Abnormal Diagnosis Techniques with Capsule Networks by Kim, NacWoo, Lee, HyunYong, Park, SangJun, Lee, JunGi, Lee, ByungTak

    “…This paper proposes a new method of converting acoustical data into mel-frequency cepstral coefficient feature vector and performing detection of abnormal…”
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    Conference Proceeding
  14. 14

    Machine Learning-based Analysis of correlation between Energy Consumption data of the Company and its Sales by Lee, Jungi, Kim, NacWoo, Lee, HyunYong, Park, SangJun, Lee, ByungTak

    “…This paper has researched about the correlation between company data, and its annual sales data. Using the identified correlation, we propose a new method of…”
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    Conference Proceeding
  15. 15

    Design and implementation of a video surveillance system for a Sensor Network application service by HongYeon Yu, SeungChul Son, NacWoo Kim, SeungHun Oh, SeokKap Ko, IlKyun Park, SimKwon Yoon, ByungTak Lee

    “…Object movement detection is key component of remote surveillance and monitoring system. In this paper, we designs a reliable moving object detection system…”
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    Conference Proceeding