[국제 학회 논문 요약] Classifying Tags Using Open Content Resources

[국제 학회 논문 요약] Classifying Tags Using Open Content Resources

0. Paper InformationTitle: Classifying Tags Using Open Content ResourcesAuthors: Overell Simon, Börkur Sigurbjörnsson, Roelof Van ZwolPublication: In Proceedings of the Second ACM International Conference on Web Search and Data MiningPublished Year: 2009 1. IntroductionBackground사용자들이 Flickr, YouTube, Wikipedia와 같은 소셜 미디어 서비스에 참여하여 협력한 결과, 사용자 생성 콘텐츠가 폭발적으로 증가했음폭소노미 스타일(Folksonomy-style) 태깅은 이러한..

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  • · 2024. 7. 23.
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[국제 저널 논문 요약] Voice Recognition Algorithms using Mel Frequency Cepstral Coefficient (MFCC) and Dynamic Time Warping (DTW) Techniques

[국제 저널 논문 요약] Voice Recognition Algorithms using Mel Frequency Cepstral Coefficient (MFCC) and Dynamic Time Warping (DTW) Techniques

0. Paper InformationTitle: Voice Recognition Algorithms using Mel Frequency Cepstral Coefficient (MFCC) and Dynamic Time Warping (DTW) TechniquesAuthors: Lindasalwa Muda, Mumtaj Begam, Irraivan ElamvazuthiPublication: Journal of ComputingPublished Year: 2010 1. IntroductionBackground음성 신호 식별(Voice Signal Identification)은 음성 파형을 추가 처리에 유용한 특징으로 변환하는 과정으로 구성됨 많은 알고리즘과 기술들이 사용되며, 이는 시간, 주파수, 에너지 정보..

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  • · 2024. 7. 22.
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[국제 저널 논문 요약] Author Topic Model-Based Collaborative Filtering for Personalized POI Recommendation

[국제 저널 논문 요약] Author Topic Model-Based Collaborative Filtering for Personalized POI Recommendation

0. Paper InformationTitle: Author Topic Model-Based Collaborative Filtering for Personalized POI RecommendationsAuthors: Shuhui Jiang, Xueming Qian, Jialie Shen, Yun Fu, Tao MeiPublication: IEEE Transactions on MultimediaPublished Year: 2015 1. IntroductionBackground새로운 도시를 방문할 계획을 세울 때, 많은 여행 가이드 사이트에서는 여행기록, 사진과 같은 많은 콘텐츠를 제공함 수많은 자료들 중 유용한 정보를 얻기 위해 수작업으로 자료를 분석 하는 것은 시간이 많이 걸리기 때문에, 여행 계획 자동..

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  • · 2024. 7. 21.
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[국제 저널 논문 요약] Experimental Investigation of Variational Mode Decomposition and Deep Learning for Short-Term Multi-Horizon Residential Electric Load Forecasting

[국제 저널 논문 요약] Experimental Investigation of Variational Mode Decomposition and Deep Learning for Short-Term Multi-Horizon Residential Electric Load Forecasting

0. Paper InformationTitle: Experimental Investigation of Variational Mode Decomposition and Deep Learning for Short-Term Multi-Horizon Residential Electric Load ForecastingAuthors: Mohamed Aymane Ahajjam, Daniel Bonilla Licea, Mounir Ghogho, Abdellatif KobbanePublication: Applied EnergyPublished Year: 2022 1. IntroductionBackground스마트 그리드에서 에너지 관리 전략은 에너지 소비를 모니터링, 최적화 및 제어하는 것을 목표로 함 전력수요 예측은 에..

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[국제 저널 논문 요약] A Comparative Analysis of Artificial Neural Network Architectures for Building Energy Consumption Forecasting

[국제 저널 논문 요약] A Comparative Analysis of Artificial Neural Network Architectures for Building Energy Consumption Forecasting

0. Paper InformationTitle: A Comparative Analysis of Artificial Neural Network Architectures for Building Energy Consumption ForecastingAuthors: Jihoon Moon, Sungwoo Park, Seungmin Rho, Eenjun HwangPublication: International Journal of Distributed Sensor NetworksPublished Year: 2019 1. IntroductionBackground스마트 그리드는 신뢰성, 유연성, 지속 가능성, 효율성 등의 특징을 갖고 있으며, 에너지 부족과 환경 오염 등 현재의 여러 문제에 대한 해결책으로 떠오르고 있음..

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  • · 2024. 7. 19.
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[국제 저널 논문 요약] Efficient Residential Electric Load Forecasting via Transfer Learning and Graph Neural Networks

[국제 저널 논문 요약] Efficient Residential Electric Load Forecasting via Transfer Learning and Graph Neural Networks

0. Paper InformationTitle: Efficient Residential Electric Load Forecasting via Transfer Learning and Graph Neural NetworksAuthors: Di Wu, Weixuan LinPublication: IEEE Transactions on Smart GridPublished Year: 2022 1. IntroductionBackground전력수요 예측은 전력망의 효율적인 운영을 달성하기 위한 중요한 작업 정확한 전력수요 예측은 전력망 시스템 운영 제어 및 계획을 크게 개선할 수 있음전력수요 예측은 발전 계획, 에너지 전송, 에너지 배분 등 유틸리티 회사의 일상적인 업무에 사용될 수 있음전력수요 예측은 시간 범위에 따라..

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  • · 2024. 7. 18.
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