A Transponder Aggregator with Efficient Use of Filtering Function for Transponder Noise Suppression

no code implementations • 21 Sep 2022 • Kenya Suzuki, Osamu Moriwaki, Koichi Hadama, Keita Yamaguchi, Hiroki Taniguchi, Yoshiaki Kisaka, Daisuke Ogawa, Makoto Takeshita, Stefano Camatel, Yiran Ma, Mitsunori Fukutoku

The operation in C+L bands requires switch devices used in CDC-ROADM to also be capable of multiband operation.

First demonstration of C + L band CDCROADM with simple node configuration using multiband switching devices

no code implementations • 4 Jun 2021 • Shuto Yamamoto, Hiroki Taniguchi, Yoshiaki Kisaka, Stefano Camatel, Yiran Ma, Daisuke Ogawa, Koichi Hadama, Mitsunori Fukutoku, Takashi Goh, Kenya Suzuki

While ultrahigh-baud-rate optical signals are effective for extending the transmission distance of large capacity signals, they also reduce the number of wavelengths that can be arranged in a band because of their wider bandwidth.

Semantic segmentation of trajectories with improved agent models for pedestrian behavior analysis

no code implementations • 12 Dec 2019 • Toru Tamaki, Daisuke Ogawa, Bisser Raytchev, Kazufumi Kaneda

In this paper, we propose a method for semantic segmentation of pedestrian trajectories based on pedestrian behavior models, or agents.

Semantic Segmentation Trajectory Modeling

Improved Activity Forecasting for Generating Trajectories

no code implementations • 12 Dec 2019 • Daisuke Ogawa, Toru Tamaki, Tsubasa Hirakawa, Bisser Raytchev, Kazufumi Kaneda, Ken Yoda

An efficient inverse reinforcement learning for generating trajectories is proposed based of 2D and 3D activity forecasting.

reinforcement-learning Reinforcement Learning (RL)

Semantic segmentation of trajectories with agent models

no code implementations • 27 Feb 2018 • Daisuke Ogawa, Toru Tamaki, Bisser Raytchev, Kazufumi Kaneda

Next, using learned behavior models and a hidden Markov model, we segment a trajectory into semantic segments.

Clustering General Classification +1