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Daeyoung Kim
KAIST
347Publications
26H-index
2,761Citations
Publications 321
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The polysomnography (PSG) can be used as a basis for judging various disorders that occur during sleep such as arousal. Arousal which means wakefulness is the common phenomena disturbing deep sleep. Since arousal appears in various forms, there are areas where research has been less advanced such as Respiratory effort-related arousal (RERA). We develop bidirectional Long Short-Term Memory (LSTM) which used Mel-frequency cepstral coefficient (MFCC) for feature extraction and trained using 13 mult...
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#1Inpyo Hong (KAIST)H-Index: 1
Last.Daeyoung Kim (KAIST)H-Index: 26
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Abstract Image denoising is a fundamental task in computer vision and image processing domain. In recent years, the task has been tackled with deep neural networks by learning the patterns of noises and image patches. However, because of the high diversity of natural image patches and noise distributions, a huge network with a large amount of training data is necessary to obtain a state-of-the-art performance. In this paper, we propose a novel ensemble strategy of exploiting multiple deep neural...
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#1Hoang Minh Nguyen (KAIST)H-Index: 3
#2Gaurav Kalra (KAIST)
Last.Daeyoung Kim (KAIST)H-Index: 26
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Workload prediction is an essential prerequisite to allocate resources efficiently and maintain service level agreements in cloud computing environment. However, the best solution for a prediction task may not be a single model due to the challenge of varied characteristics of different systems. Thus, in this work, we propose an ensemble model, namely ESNemble, based on echo state network (ESN) for workload time series forecasting. ESNemble consists of four main steps, including features selecti...
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Oct 1, 2019 in SMC (Systems, Man and Cybernetics)
As supply chain has become extremely complicated, traditional supply chain management schemes reveal limitations in keeping track of resources for efficient risk management. Recently, blockchain-based solutions for supply chain have shown possibility to overcome those limits. However, numerous practical problems in this research domain are not fully explored up to date. Thus, we delve into one of the most significant problems among them: verification of business logic in transactions. In this pa...
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#1Hoang Minh Nguyen (KAIST)H-Index: 3
#2Gaurav Kalra (KAIST)
Last.Daeyoung Kim (KAIST)H-Index: 26
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Cloud computing has been developed as a means to allocate resources efficiently while maintaining service-level agreements by providing on-demand resource allocation. As reactive strategies cause delays in the allocation of resources, proactive approaches that use predictions are necessary. However, due to high variance of cloud host load compared to that of grid computing, providing accurate predictions is still a challenge. Thus, in this paper we have proposed a prediction method based on Long...
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This paper presents a novel Echo State Network (ESN) model for chaotic time series prediction, which consists of three steps including input reconstruction, dimensionality reduction and regression....
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Jul 1, 2019 in EMBC (International Conference of the IEEE Engineering in Medicine and Biology Society)
#1Dohyeun Kim (Electronics and Telecommunications Research Institute)H-Index: 3
#2Tae Joon Jun (KAIST)H-Index: 4
Last.Daeyoung Kim (KAIST)H-Index: 26
view all 5 authors...
Solving the classification problem, unbalanced number of dataset among the classes often causes performance degradation. Especially when some classes dominate the other classes with its large number of datasets, trained model shows low performance in identifying the dominated classes. This is common case when it comes to medical dataset. Because the case with a serious degree is not quite usual, there are imbalance in number of dataset between severe case and normal cases of diseases. Also, ther...
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#1Wondeuk Yoon (KAIST)H-Index: 2
#2Indal Choi (LG Electronics)
Last.Daeyoung Kim (KAIST)H-Index: 26
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Today, Internet of Things (IoT) technology is applied to everywhere providing tremendous amounts of IoT service such as home control, facility management, and social public services. The GS1, a non-profit international standard organization, standardized an Object Name Service (ONS) which enables users to manage and discover services in the midst of tremendous amounts of service. However, it has a vulnerability in security and fault tolerance of providing service, because the ONS operates based ...
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#1Tae Joon Jun (KAIST)H-Index: 4
#2Soo-Jin Kang (UOU: University of Ulsan)H-Index: 35
Last.Young-Hak Kim (UOU: University of Ulsan)H-Index: 80
view all 9 authors...
Acute coronary syndrome (ACS) is a syndrome caused by a decrease in blood flow in the coronary arteries. The ACS is usually related to coronary thrombosis and is primarily caused by plaque rupture followed by plaque erosion and calcified nodule. Thin-cap fibroatheroma (TCFA) is known to be the most similar lesion morphologically to a plaque rupture. In this paper, we propose methods to classify TCFA using various machine learning classifiers including feed-forward neural network (FNN), K-nearest...
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