52 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Kyoto UniversityJP5 papers
- Tokyo Institute of TechnologyJP4 papers
- Hiroshima UniversityJP3 papers
- Waseda UniversityJP3 papers
- Kyoto College of Graduate Studies for InformaticsJP2 papers
- Okayama UniversityJP2 papers
- Aalborg UniversityDK1 paper
- Chinese University of Hong Kong, ShenzhenCN1 paper
- Doshisha UniversityJP1 paper
- Indian Institute of Technology BombayIN1 paper
- Kumamoto UniversityJP1 paper
- Kyushu UniversityJP1 paper
20 papers
Multi-Attribute guided Thermal Face Image Translation based on Latent Diffusion Model
Mingshu Cai, Osamu Yoshie, Yuya Ieiri
Modern surveillance systems increasingly rely on multi-wavelength sensors and deep neural networks to recognize faces in infrared images captured at night. However, most facial rec…
Cyclic Reformulation Based System Identification for Periodically Time-varying Systems
Hiroshi Okajima, Yusuke Fujimoto, Hiroshi Oku +1
This paper addresses a system identification for linear periodically time-varying plants in the discrete-time setting. A system identification algorithm for linear, periodically ti…
Net-Zero Energy House-oriented Linear Programming for the Sizing Problem of Photovoltaic Panels and Batteries
A. Daniel Carnerero, Taichi Tanaka, Mengmou Li +5
The global drive towards carbon neutrality has led to a significant increase in the number of power plants based on renewable energy sources (RES). Concurrently, numerous household…
Hypertracking and Hyperrejection: Control of Signals beyond the Nyquist Frequency
Kaoru Yamamoto, Yutaka Yamamoto, Masaaki Nagahara
This paper studies the problem of signal tracking and disturbance rejection for sampled-data control systems, where the pertinent signals can reside beyond the so-called Nyquist fr…
Sparse optimal stochastic control
Kaito Ito, Takuya Ikeda, Kenji Kashima
In this paper, we investigate a sparse optimal control of continuous-time stochastic systems. We adopt the dynamic programming approach and analyze the optimal control via the valu…
Sparse Packetized Predictive Control of Disturbed Plants Over Channels with Data Loss
Mohsen Barforooshan, Masaaki Nagahara, Jan Ostergaard
This paper investigates closed-loop stability of a linear discrete-time plant subject to bounded disturbances when controlled according to packetized predictive control (PPC) polic…
Guided Facial Skin Color Correction
Keiichiro Shirai, Tatsuya Baba, Shunsuke Ono +3
This paper proposes an automatic image correction method for portrait photographs, which promotes consistency of facial skin color by suppressing skin color changes due to backgrou…
Epigraphical Relaxation for Minimizing Layered Mixed Norms
Seisuke Kyochi, Shunsuke Ono, Ivan Selesnick
This paper proposes an epigraphical relaxation (ERx) technique for non-proximable mixed norm minimization. Mixed norm regularization methods play a central role in signal reconstru…
The turnpike property in the maximum hands-off control
Noboru Sakamoto, Masaaki Nagahara
This paper presents analyses for the maximum hands-off control using the geometric methods developed for the theory of turnpike in optimal control. First, a sufficient condition is…
Sound Event Detection Utilizing Graph Laplacian Regularization with Event Co-occurrence
Keisuke Imoto, Seisuke Kyochi
A limited number of types of sound event occur in an acoustic scene and some sound events tend to co-occur in the scene; for example, the sound events "dishes" and "glass jingling"…
Self-supervised Hyperspectral Image Restoration using Separable Image Prior
Ryuji Imamura, Tatsuki Itasaka, Masahiro Okuda
Supervised learning with a convolutional neural network is recognized as a powerful means of image restoration. However, most such methods have been designed for application to gra…
On the Coordinate Change to the First-Order Spline Kernel for Regularized Impulse Response Estimation
Yusuke Fujimoto, Tianchi Chen
The so-called tuned-correlated kernel (sometimes also called the first-order stable spline kernel) is one of the most widely used kernels for the regularized impulse response estim…
Linear Complexity of Geometric Sequences Defined by Cyclotomic Classes and Balanced Binary Sequences Constructed by the Geometric Sequences
Kazuyoshi Tsuchiya, Chiaki Ogawa, Yasuyuki Nogami +1
Pseudorandom number generators are required to generate pseudorandom numbers which have good statistical properties as well as unpredictability in cryptography. An m-sequence is a…
Short-term load forecasting using optimized LSTM networks based on EMD
Tiantian Li, Bo Wang, Min Zhou +1
Short-term load forecasting is one of the crucial sections in smart grid. Precise forecasting enables system operators to make reliable unit commitment and power dispatching decisi…
Interleaved sequences of geometric sequences binarized with Legendre symbol of two types
Kazuyoshi Tsuchiya, Yasuyuki Nogami, Satoshi Uehara
A pseudorandom number generator is widely used in cryptography. A cryptographic pseudorandom number generator is required to generate pseudorandom numbers which have good statistic…
Min-Max Design of Feedback Quantizers for Netorwked Control Systems
Shuichi Ohno, Yuma Ishihara, Masaaki Nagahara
In a networked control system, quantization is inevitable to transmit control and measurement signals. While uniform quantizers are often used in practical systems, the overloading…
Rate-Distortion Analysis of Quantizers with Error Feedback
Shuichi Ohno, Teruyuki Shiraki, M. Rizwan Tariq +1
A Delta-Sigma modulator that is often utilized to convert analog signals into digital signals can be modeled as a static uniform quantizer with an error feedback filter. In this pa…
Characterization of maximum hands-off control
Debasish Chatterjee, Masaaki Nagahara, Daniel Quevedo +1
Maximum hands-off control aims to maximize the length of time over which zero actuator values are applied to a system when executing specified control tasks. To tackle such problem…
Maximum Hands-off Control without Normality Assumption
Takuya Ikeda, Masaaki Nagahara
Maximum hands-off control is a control that has the minimum L0 norm among all feasible controls. It is known that the maximum hands-off (or L0-optimal) control problem is equivalen…
Symbol Detection for Frame-Based Faster-than-Nyquist Signaling via Sum-of-Absolute-Values Optimization
Hampei Sasahara, Kazunori Hayashi, Masaaki Nagahara
In this letter, we propose a new symbol detection method for faster-than-Nyquist signaling (FTNS) systems. Based on frame theory, we formulate a symbol detection problem as a under…