Akihiro Yamada

dblp:82/10106 · DBLP profile ↗
← Back
8ranked-venue papers
1as first author
3since 2021 · last 2022
—ORCID · conflict

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 4 · 3 since 2021Human-computer interaction and ubiquitous computing · 4 · 3 since 2021Security and privacy · 2Systems, architecture and hardware · 1
YearPublicationVenuePosition
2022 A Deep Learning-Based Approach for Generating 3D Models of Fluid Arts
Mai Cong Hung, Trang Mai Xuan, Akihiro Yamada, Naoko Tosa, Ryohei Nakatsu
ArtsIT3
2022 Improvement of Deep Learning Technology to Create 3D Model of Fluid Art
Mai Cong Hung, Trang Mai Xuan, Akihiro Yamada, Naoko Tosa, Ryohei Nakatsu
ICEC3
2022 Creation of Fluid Art "Sound of Ikebana" Under Microgravity Using Parabolic Flight
Naoko Tosa, Shigetaka Toba, Yunian Pang, Akihiro Yamada, Ryohei Nakatsu
ICEC4
2020 3D Modeling and 3D Materialization of Fluid Art that Occurs in Very Short Time
Naoko Tosa, Yunian Pang, Ryohei Nakatsu, Akihiro Yamada, Kazuya Yamamoto
ICEC4
2017 Data Exchange Strategies for Aggregating Geographical Distribution of Demands for Location-Dependent Information Using Soft-State Sketches in VANETs
abstract
When we drive a car, we often want to know the situation of roads near our destination. Ishihara et. al. proposed a VANET based information sharing system named Real-Time Visual Car Navigation System, in which a driver can obtain Location-Dependent Information (LDI), such as pictures or videos of his/her Point of Interest (POI) by telling the automotive equipment, e.g. car navigation device, the POI. The simplest way to provide LDI to vehicles is flooding the LDI to all vehicles in the VANET, but unneeded LDI may be disseminated, and network resources may be wasted. We have proposed a data dissemination scheme based on Demand map for effectively disseminating LDI to multiple vehicles that need it. In this scheme, each vehicle has Demand map (Dmap), a data set representing the geographical distribution of the strength of demands for LDI. Each vehicle exchanges a subset of data constituting a Dmap (Dmap Information: DMI) with other vehicles. According to the information in the Dmap, each vehicle preferentially sends new LDI or forwarded LDI strongly demanded to the area containing many vehicles that demand the LDI. In this paper, we propose strategies for controlling the frequency of sending DMI and strategies for selecting DMI to be sent for reducing the communication traffic without loss of the accuracy of information in Dmaps. Simulation results show that one of the proposed strategies, LTZ strategy, achieves high accuracy of Dmaps with a small amount of communication traffic.
Akihiro Yamada, Susumu Ishihara
AINA1
2015 Subblock-level matching layout for analog block-pair and its manufacturability evaluation
abstract
This paper presents a layout-dependent manufacturability for analog integrated circuits. We focus on the relative variability of input op-amp-pair used in an instrumentation amplifier (in-amp). We propose a subblock-level matching layout style such that subblocks of the op-amp-pair are superimposed aiming to suppress the relative variability dependent on the layout. We fabricate chips according to five superposed layout styles and evaluate the relative variability in terms of the DC offset, so that we demonstrate the most effective layout style. Besides, we provide a manufacturability simulation methodology to evaluate the in-amp considering the relative variability of the op-amp-pair based on the measurement results. Comparing the simulation result and the performances of fabricated in-amps, we are convinced our methodology can evaluate the layout-dependency of the manufacturability by the simulation.
Takuya Hirata, Ryuta Nishino, Shigetoshi Nakatake, Masaya Shimoyama, Masashi Miyagawa, Koichi Tanno, Akihiro Yamada
ISCAS7
2012 A Game-Theoretic Perspective on Oblivious Transfer
Haruna Higo, Keisuke Tanaka, Akihiro Yamada, Kenji Yasunaga
ACISP3
2011 Weak Oblivious Transfer from Strong One-Way Functions
Keisuke Tanaka, Akihiro Yamada, Kenji Yasunaga
ProvSec2