Search Results - "Kwak, Semin"

Asymmetric Sum and Difference Beam Pattern Synthesis With a Common Weight Vector by Kwak, Semin, Chun, Joohwan, Park, Dongmin, Ko, Young Kwan, Cho, Byung Lae

“…A radar with a large number of antennas requires efficient design in its feeding network or transmit/receive modules (TRMs). We propose a method for…”
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Travel Time Prediction for Congested Freeways With a Dynamic Linear Model by Kwak, Semin, Geroliminis, Nikolas

“…Accurate prediction of travel time is an essential feature to support Intelligent Transportation Systems (ITS). The non-linearity of traffic states, however,…”
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Monopulse Beam Synthesis Using a Sparse Single Layer of Weights by Kwak, Semin, Chun, Joohwan, Ye, Sung Hyuck

“…A conventional monopulse radar system uses three beams, namely, sum beam, elevation difference beam, and azimuth difference beam, which require different…”
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Frequency Analysis and Filter Design for Directed Graphs with Polar Decomposition by Kwak, Semin, Shimabukuro, Laura, Ortega, Antonio

“…In this study, we challenge the traditional approach of frequency analysis on directed graphs, which typically relies on a single measure of signal variation…”
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Traffic Signal Prediction on Transportation Networks Using Spatio-Temporal Correlations on Graphs by Kwak, Semin, Geroliminis, Nikolas, Frossard, Pascal

“…Multivariate time series forecasting poses challenges as the variables are intertwined in time and space, like in the case of traffic signals. Defining signals…”
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Frequency analysis and filter design for directed graphs with polar decomposition by Kwak, Semin, Shimabukuro, Laura, Ortega, Antonio

“…In this study, we challenge the traditional approach of frequency analysis on directed graphs, which typically relies on a single measure of signal variation…”
Get full text

Travel time prediction for congested freeways with a dynamic linear model by Kwak, Semin, Geroliminis, Nikolas

“…Accurate prediction of travel time is an essential feature to support Intelligent Transportation Systems (ITS). The non-linearity of traffic states, however,…”
Get full text

TwoResNet: Two-level resolution neural network for traffic forecasting on freeway networks by Li, Danya, Kwak, Semin, Geroliminis, Nikolas

“…Traffic forecasting problems of freeway networks are heavily tackled by deep learning methods because it requires learning highly complex correlations between…”
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Traffic signal prediction on transportation networks using spatio-temporal correlations on graphs by Kwak, Semin, Geroliminis, Nikolas, Frossard, Pascal

“…Multivariate time series forecasting poses challenges as the variables are intertwined in time and space, like in the case of traffic signals. Defining signals…”
Get full text

Monopulse beam synthesis using a sparse single-layer of weights by Kwak, Semin, Chun, Joohwan, Ye, Sung Hyuck

“…A conventional monopulse radar system uses three beams; sum beam, elevation difference beam and azimuth difference beam, which require different layers of…”
Get full text