List of Dissertation Abstract
Name
ARAI Takahiro(Department of Information Environment)

Supervisor

Title

Abstract

SHIRAKAWA

Development of

Convolutional Neural Network (CNN) is a high-performing

SinnichiInterpretable Machinemachine learning model in image recognition tasks.

Learning Models for Image

However, CNN has the problem in applying it to fields that

Recognition

require the prediction grounds due to its low interpretability.
This study proposes a rule-based machine learning model
for image classification tasks. The proposed method cantrain flexible and interpretable rules by a gradient descentmethod. We evaluate the performance of the proposed
method using image classification datasets and confirm that
our method can obtain the interpretable rules.

IKEGAMI Daiki

NAKAMOTO

Linear number of diagonal

A triangulation is a graph embedded on a surface such that

Atsuhiro

flips in triangulations oneach face is triangular. Negamiʼs theorem states that any

surfaces

two triangulations on a surface can be transformed eachother by finite sequence of diagonal flips. It is known that
there is a quadratic upper bound for the number of diagonal
flips in Negamiʼs theorem with respect to the number ofvertices. We improve the bound by giving a linear upperbound for the case of surfaces with low genus.

ITO Rena

NAGAO

Unsupervised Video

In the production of commercials, there is a high demand for

Tomoharu

Hashing for TV commercial

mechanical retrieval of past works based on video content,

retrievalbecause it enables cost reduction in the analysis process. In
this paper, we propose an unsupervised video hashingmethod using image clustering that is effective even forcommercial videos that have many processed parts including
scene development. The effectiveness of the proposed
method is demonstrated through qualitative evaluation using
a commercial video dataset and quantitative evaluation
using a new video dataset that is similar to the nature ofcommercial videos.

INOUE Tamon

NAGAO

Unsupervised fashion

Fashion image retrieval for each attribute is important toTomoharu

image retrieval usingreflect customer preferences. In conventional research,disentangle

research using supervised learning has been actively
conducted. However, since fashion images have many
attributes, it is costly to obtain labels.
On the other hand, in recent years, Disentanglement
Learning has been studied, which enables the acquisition ofdisentangled representation composed of intuitively
interpretable factors from images without labels.
Therefore, in this paper, we propose a method of
unsupervised fashion image retrieval using disentangled
representation.
Experiments show the selection of latent variables improves
the search accuracy.

INOUE Yuta

YOSHIOKA

Proof of concept of evasive

Katsunarimalware that identify target detect malicious behavior by executing the files to bemachineIn recent years, the introduction of security appliances that
inspected in the sandbox is progressing. However, there is aproblem of evading detection by malware that pretends to beharmless in other environments by performing fraudulent
activities only on the target machine. These malwares are
difficult to detect in existing sandboxes. Therefore, we will
examine the risk and countermeasures of attacks that
identify the target machine from the information implanted
into the machine or stored in the configuration file, etc.

IWASAKI Keigo

MORI Tatsunori

Recognition and structure

Named entities refer to concepts such as specific place

analysis of nested named

names and personal names. Named entity recognition isentityimportant in natural language processing systems such asquestion answering systems and document summarization.
There is a named entity with a nested structure consisting ofcompound words in the named entity. In this study, we
propose a method of hierarchically extracting named entities
with a nested structure by dividing them into layers
corresponding to the depth of nesting. We also analyze therelationship among named entities with a nested structure.

OTSU Ryota

OKAJIMA

Development ofUsing two robotic arms and a two-dimensional

Katsunori

Bidirectional Spectral

spectroradiometer, we developed a system for measuring

Reflectance Measuring

the bidirectional reflectance of materials with flat shapes. As

System and Texture

a result of measuring silver nano-ink decorated printedRendering for Multicolor

material with this system, we were able to measure the rapid

Planesincrease in reflectance in the specular direction of it. We
also measured the bidirectional reflectance of a sample ofleather using our system, and reproduced and modulated the
texture of the leather under some illumination conditions on
the computer. The results suggest that our system can beused to record, reproduce, and modulate the texture of flatand non-uniform materials.

ONUKI Shunpei

OKAJIMA

Development of Virtual

In this study, we demonstrated the validity of the visibility

Katsunori

Reality Environment

evaluation in the virtual environment (Exp. 1 and 2), andConsidering Eyeevaluated the car interface (Exp. 3). Specifically, we

Accommodation andcompared the visibility in the real and virtual environment

Evaluation of Car Interface

when eye movement didn’t occur in Exp. 1 and whenoccurred in Exp. 2. The results showed that it was necessary
to match the luminance conditions and to add“Accommodative lag” to the focus blur according to the gazein order to obtain similar evaluations in both environments.

Exp. 3 showed that HUD had the best visibility, and alsoemphasized the importance of the lag of the focus blur.
OMURA Kazuya

NAKAMOTO

Diagonal Flips in

A triangulations on the annulus is a simple graph on theAtsuhiro

Triangulations on theannulus such that triangles except for the faces on two

Annulusboundaries.
In this paper, we simply call a triangulation on the annulus aannulus triangulation, that we shall prove that any twoannulus triangulation have the same number of vertices atthe boundary of two faces, they can be transformed into
each other by diagonal flips.
Moreover, the upper bound of the required number of
diagonal flips is given by a linear function of the number ofvertices.

OKAMOTO Koki

MORI Tatsunori

Study of cryptocurrency

This paper focuses on SNS and financial markets. It

exchange rate forecasting

proposes a method for predicting the exchange rate of

method considering SNS

crypto assets using SNS text and spreading power from thetext and its spreading

viewpoint of user attributes and text tense

powerKATSURAGAWA

NAKAMOTO

The relation between

Let G be a graph. A vertex set S of G is a dominating set of G

TomoyaAtsuhirodomination number of

if S∪N(S)=V(G), where N(S) denotes the set of vertices

maximal outerplanar

adjacent to a vertex of S. The size of the minimum

graphs and the number ofdominating set of G is called the domination number of G. I

vertices with degree 2

evaluated the upper bound of the domination number ofmaximal outerplanar graphs.

KATO Seiya

YOSHIOKA

A Study on Adaptive

Honeypots have been used to observe cyber attacks, but

Katsunari

Honeypot Framework forwith the rise of the IoT, the number of target devices andObserving Cyber Attacks

services has diversified, making it difficult to observe

Targeting Various Devices

attacks. In this study, we propose an adaptive honeypot
framework that can emulate a variety of devices while
maintaining a certain level of interactivity by using
responses collected from real hosts. In our experiments, we
confirmed that the framework can observe various types ofattacks, and compared it with existing observation systems
to show that the observation performance has been
improved.

KAMIYA Masaru USHIKOSHI
Erika

Hadamard variational

It is well known that the Stokes equations describes theformula for the

motion of the incompressible fluid moving slowly. It is anfundamental solution of theinteresting problem to analyze how the flow is affected byunsteady Stokes equations

the domain deformation. In this paper, we consider thewith initial-boundary

region dependence of the fundamental solution of the initial-

conditions

boundary value problem of the unsteady Stokes equations.
Here, the fundamental solution is the kernel of the integral
representation formula for the inhomogeneous equations. In
particular, our purpose is to derive the Hadamard variational
formula for the fundamental solution of the unsteady Stokes
equations under the domain perturbation preserving its
volume.

KAWASHIMA
Yuki

NEGAMI Seiya

4-coloring of graphs on

Tait showed that a planar triangulation is 4-colorable if andsurfaces in which each face only if the dual of the triangulation is 3-edge-colorable, inis triangular or

the attempt to prove the Four Color Problem. Nakamoto etquadrangularal. extended the result to graphs on surfaces in which eachface is triangular or quadrangular, by restricting 4-coloring tocyclic 4-coloring. In this thesis, we extend this result to 4coloring. Moreover, as an application, we give alternative
proofs of two previously known theorems on coloring of
quadrangulations.

KICHISE YudaiTOMII Takashi

EV Energy Loss

In our previous research, we developed a system to estimate

Visualization Based on

the energy consumption of EVs from the GPS logs of aRoad Section Normalization running vehicle. In this study, we propose a visualization
Using Life-Log

system to analyze the energy consumption data of EVs bymapping them to the locations where they have been driven.
The proposed system refers to the view table in therelational database, and the analyst can define the viewtable using SQL, which is the operating language of therelational database, to perform various visualizations andanalyses.

KUMAGAIYOSHIOKA

Observation and Analysis of With the spread of the Internet of Things (IoT), IoT devices

Takuhiro

Katsunari

Access to Honeypot

have been leveraged in industrial fields. In order to

Imitating a Remote

understand the actual situation of attacks on remote control

Monitoring and Control

and monitoring systems in infrastructure facilities andSystemfactories with inadequate security, we constructed ahoneypot that mimics a remote control and monitoring
system, and conducted an analysis focusing on the behaviorof accessors. We also conducted a survey focusing on thescanning activities of ""IoT search engines".

GEMPEI Yuta

YOSHIOKA

Detection and end-user

Recently, a variety of attacks have been observed on the

Katsunari

notification on risky searchWeb. However, due to the diversification of attack methods

keywords that lead toon the Web, it is difficult to completely protect end-users

malicious websites

from attacks using only existing countermeasures such as
blocklist. Therefore, to protect end-users from attacks at an
early stage, we proposed a method of identifying search
keywords in search engines that are statistically likely toreach malicious websites and verified the effectiveness of
notifying end-users. We detected several words that
increase the rate of reaching malicious websites in the
proposed method and evaluated the effectiveness of theearly security notification by analyzing the notification
experiments to end-users for more than 6 months.

KOSHIO Yamato TAMURA
Naoyoshi

Automatic correction of

In the current automatic correction of Japanese language

Japanese language

composition exercises, it is difficult to judge whether a claim

composition exercises

has objectivity and consistency. In addition, evaluation

using graphs which haveresults are often based on scores, and it is difficult to tell

attributes of claim andstudents why they got that score on a test.

premiseWe propose a method for evaluating logicality using graphs
which have attributes of claim and positive or negative
relationship between claim and premise. In the meantime,
we also propose a method for evaluating the logicality ofJapanese essays, and the method can point out errors at theprocess.

KONDO Mizuki

YOSHIOKA

Study on analyzing

Internet-facing Memcached services are known to have

Katsunari

memcached DRDoS

been misused as powerful reflectors of DRDoS attacks. In

attacks and their

this paper, we first utilize high-interaction Memcachedinfrastructures

honeypots and Internet-wide scan results to analyze howhigh the amplification factors of Memcached attacks in thewild can be and how many open Memcached services there
are. We then analyze how the attack infrastructures areconstructed and operated. We find that 81 IPs in 7 AS are
responsible for over 360,000 attacks (58% of all attacks weobserved).

SHIGA Yuya

NAGAO

Data Augmentation for

Reinforcement Learning(RL) has shown a lot of successful

Tomoharu

Reinforcement Learning inresults in a variety of tasks; however, the learning process

Feature Spacetakes an enormous amount of time. Some works propose toimprove RL agents' learning efficiency by data augmentation
techniques. However, it is difficult to design good data
augmentation without a given task expertise. In this paper,
we propose data augmentation for RL in feature space asdata augmentation which is requiring no given task

expertise. We conduct experiments on the simulation
environment for the purposes of comparison of the proposed
method with naive RL. Results show to improve RL agents'
learning efficiency by the proposed method.
SHIBATA Yuki

NAGAO

Role Detection in Werewolf

In this paper, we propose a method to estimate role from theTomoharu

with Utterance on theutterance on the opening day in werewolf by using

Opening Day by Using

percolative learning. Learning is performed using the

Percolative Learning

information of the entire game, assuming that it is estimatedonly from the log of the opening day at the time of the test.
In addition, by dividing the input of the utterance log foreach date and optimizing the structure of the input part
during learning, the difference in the importance ofutterance for each date in role detection is considered. As aresult of verifying the proposed method using the log ofWerewolf BBS, it was confirmed that the accuracy was
improved compared to the method of learning only from thelog of the opening day.

SHIBATA Rui

YAMADA

Representation of

Recently, neural networks (NNs) have been used to speed

Takahiro

Dynamics by Neuralup the simulation of dynamics. In this paper, we propose a

Networks for Real-Time

simulator that represents the large deformation problem of a

Surgical Simulation

beam under point contact conditions using NNs, where theshape is represented by an implicit function. The proposed
method can predict the deformed shape and contact force
quickly, and can explain the prediction results on the basisof friction and slip. In addition, the generalization
performance of the proposed method is higher than that ofgeneral all-coupled NN models, and it can reduce theamount of teacher data required for pre-training.

SHIMIZUSHIRAKAWA

Auto Berthing Using

Autonomous ships are attracting attention as a means of

Shoma

SinnichiSupervised Learning andpreventing maritime accidents and addressing a shortage ofReinforcement Learning

sailors. In this study, we work on automatic berthing, which
is one of the essential technologies for realizing autonomous
ships, by using supervised learning and reinforcement
learning. In the experiments on a simulator, wequantitatively evaluate the performance of the control law,which has not been done in previous research, and showthat the obtained control law can handle a wide range ofinitial positions of ships and wind disturbances.

SHIRAKAWAUSHIKOSHIFirst-Order Hadamard

Hadamard variational formula expresses the variation of the

Kodai

Erika

variational formula for thefunctional of the domain represented by Green function

Stokes equations under

under domain perturbation. In this study, we consider thegeneral domain

first variational formula of the Green function of the Stokes

perturbations

equations with Dirichlet boundary conditions in the boundeddomain with the C^{1,1} boundary. More precisely, byapplying the method of Suzuki-Tsuchiya (2016) to the Stokes
equation, we will generalize the regularity of the boundary ofthe domain in Ushikoshi (2016), which constructs theformula in C^∞ bounded domain.

SHINTANIYOSHIOKA

Measuring impact ofIn this study, we measured the impacts of the attacks

NatsuoKatsunari

amplification DDoS attacks

observed by amplification DDoS honeypot, or Amppot, byobserved by Amppot

sending ICMP ping to the victims. We found that half of thevictims was affected by the attacks while the other half washardly affected. Moreover, about 10 % of affected victims
hardly responded during the attacks. We also show thatvarious factors such as attack duration, packets per second,
victimsʼ countries and ASes, the number of cumulative nameresolutions, the number of connected domains, are related
to the attack impact. We then propose a method to estimate
the attack impact just in time of attack observation by
Amppot.

SUEHIRO

MATSUMOTO

A Study on Instrumentation

The importance of security in instrumentation has been

TatsuyaTsutomu

Security of Ranging

recognized, and its research needs to be enhanced. This

Sensors

paper describes a study of instrumentation security for two
types of ranging sensors, LIDARs and ultrasonic sensors. (1)We contributed to the evaluation technology by proposing anenvironment in which instrumentation security enhancement
techniques for LIDARs can be implemented, and theirresistance to attacks can be investigated. (2) We
demonstrated a new attack method using laser lightirradiation against ultrasonic sensors and improved thecomprehensiveness of threat analysis.

SUZUKI Kodai

NOMA Atsushi

Weierstrass points on plane In this study, we studied Weierstrass points that be
curvesnonsingular and satisfy special properties. We classified
Weierstrass points on 7th non-singular projective plane
curves by using local intersection numbers and gave
examples of the curves with Weierstrass points in each case.

SUZUKI Tomoro

MATSUMOTO

A Study on Double Laser

Fault attacks that inject physical disturbances into

Tsutomu

Fault Attack on Embedded

cryptographic modules to analyze their internal information,

Devices

especially those using multiple lasers, are powerful, but
exploring their capabilities and studying countermeasures
are still issues. In this paper, we conducted an attack
experiment using an originally constructed double-laser
experimental environment. We demonstrated the attack's
effect by simultaneously irradiating multiple points on the
flash memory of an IC card. We also proved the invalidationof conventional countermeasures using laser detection
sensors in FPGAs. These results contribute to theelucidation of the fault attack.

TOMIYA Honoka NAKAMOTO
Atsuhiro

The edge-weights of

We study an edge-weight of a graph G by 1, 2, 3 such thatgraphs determined by

the weighted vertex-degree gives a given proper vertex-

color-assignments ofcoloring of G modulo 3, related to the 1-2-3 conjecture on a

verticesvertex-coloring associated with an edge-weight. We provethat every planar and projective planar even triangulation
has such an edge-weight. Moreover, we generalize the result
to 3-colorable graphs independent of surfaces, by using
linear algebra.

TOYAMA Taku

MATSUMOTO

A Study on Hardware

USB devices are vulnerable to spoofing and man-in-the-Tsutomu

Security of USB Device andmiddle attacks because they do not have authentication

Security Equipment

functions. This paper shows that USB devices can be
identified by their electrical characteristics using Manhattan
distance and decision tree analysis. In addition, for the firsttime, fire alarms, near-infrared sensors, and automatic door
sensors as security equipment are analyzed from theviewpoint of hardware security. This paper evaluated thesedevices' resistance to laser-based attacks and replay attacks
and proposed techniques to resist these attacks.

NAKANOOKAJIMA

Expanding Walking

We measured actual motions on walking on a slope, then we

Yoshinori

Katsunori

Perception by Manipulating

developed a VR walking system that can create walking

Visual Information inperception on a slope considering the head trajectory while

Virtual Reality Space

walking on a flat ground. We conducted an experiment toevaluate the perception of ascending and descending,
perception of force of accel and braking, and perception of
instability. The results showed that the perception ofascending and descending was significantly stronger thanthat of the previous methods. Moreover, we combined oursystem with curvature gains of redirected walking, which is ahorizontal spatial expansion method. The results showedthat our system can expand the space in both vertical andhorizontal directions, suggesting that three-dimensional
movement is possible in VR spaces without real slope.

NAGATO Yuki

NAKAMOTO

Coloring and orientations of An orientation of a graph G is an assignment of a direction to

Atsuhirographseach edge of G. In a given orientation of G, the indegree ofthe vertices of G can be regarded as a color-assignment of
the vertices of G. In earlier research, some results on suchcoloring were established for bipartite plane graphs. In thispaper, we give another proof to them.

HANAWA Naoki

The pendulum is one of the widely known physical systems.

SHIRAZAKI

Numerical analysis of

Minoruinteraction of running water There are many studies on the pendulum in single phaseand pendulum

flows, but few in multiphase flows. The pendulum motions in
multiphase flows are more complex than single phase flows.
In this study, I analyzed the motions caused by the collisionof the pendulum and running water. Focusing on a single
pendulum, and multi pendulums, the effect of the pendulum
on motion was analyzed by three-dimensional numericalcalculation.

HAMANO Ryoki

SHIRAKAWA

Analysis and Improvement

The Information Geometric Optimization (IGO) is a unified

Sinnichiof Information Geometricframework of black-box optimization algorithms. In thisOptimization withstudy, we perform a runtime analysis for the algorithm

Categorical Distribution

derived from IGO by applying the family of categorical
distributions. In addition, based on the results of the runtime
analysis, we develop the method to improve the efficiency
and stability of the IGO algorithm and confirm its
effectiveness through numerical experiments.

HARADA Kyohei NAGAO
Tomoharu

Construction of a Soft

If it is possible to reproduce the sensor signals of industrial

Sensor with Percolative

products in development using the sensor signals of the

Learning Method

product in operation, manufacturers can perform advanced
analyses of the product after it has been sold close to thedevelopment phase. In this paper, we propose aConstruction of a Soft Sensor with improved Percolative
Learning Method that takes into account the informationfrom the development process, by using sensor signals indevelopment as auxiliary data in addition to sensor signals in
operation which is main data.

HIDAKA Fumiya

OZEKI Kenta

Quadrangulation of a

All polygons can be triangulated by adding diagonals, butpolygon with Steiner points

some polygons cannot be quadrangulated. To quadrangulate
such polygons, we add new points which called Steiner
points inside and/or outside the polygon. Ramaswami et al.
evaluated the number of Steiner points that suffice toquadrangulate a polygon by the number of vertices of thepolygon. However, the evaluation is far from sharp value forsome polygons, for example, convex polygons that can bequadrangulated without any Steiner points. In this thesis, weevaluate the number of Steiner points by the spirality, which
is determined from the structures of the polygons.

FUKUCHIYAMADA

Assessment of Numerical

In numerical simulations of the wave equation, numerical

Takeyuki

Takahiro

Procedures for One-dispersibility appears as a dispersion relation that differs

Dimensional Wave

from that of the exact solution. In this work, we propose an

Propagation Analysis with a index to assess numerical methods in terms of wave
Focus on Peak Value Errors

distortion of numerical solutions caused by numericaldispersibility. By using this index, relative changes in thetime history of wave peak value can be estimated.
Comparison between proposed estimation and the actual
behavior of numerical solutions

indicates that the proposed

index is useful to assess the relative difficulty in the shape
distortion of a traveling wave.

FJII Kairi

MORI Tatsunori

Analysis of possible fakeIn recent years, there is problem that we have little

news information using theinformation that doubts fake news In the fact check task.

comment section of news

Therefore, we propose a detection system for that

articlesinformation using the comment section of the news site.

FUJIWARA
Motohide

MATSUI Kazumi

On identification

The mechanical properties of a rubber-like material used inprocedures of mechanicalnumerical simulations are determined from the experimental

property for hyperelastic

results of several material tests, such as tensile,materials

compressive, and shear tests.
However, the stress state of material tests is different fromthose in structures.
In this work, we propose a procedure in which themechanical properties of the structure are determined byconsidering the importance of the deformation state of thestructure.
Values of the stored energy function of hyperelastic
materials is taken as parameters to describe response
surfaces for reaction force of the structure.

FURUKAWA

MATSUI Kazumi

MomokoMethod for identifying

In recent years, the development of surgical simulators hasmechanical properties ofprogressed.

organsMechanical properties are required to express theafter removal bymultiple loading tests

deformation of organs in the simulator. In previous studies,
the Mechanical properties obtained from in-vitro test are
applied, but the physical characteristic of the organs are
considered to be different inside and outside the living body.
Therefore, the purpose of this study is to identify mechanicalproperty values that are close to the in-vivo environment byconducting indentation tests on organs immediately after
removal.

HOTAKA Juri

SHIKATA Junji

A Study on Broadcast

In recent years, with the development of the Internet,

more

Authentication with Control

and more IoT devices will be connected to the Internet. In

of Verification Functionality

this study, we focus on "Broadcast Authentication" as a
cryptographic technique for one-to-many communication tocontrol a large number of devices. In our model, in addition
to the two values (accept or reject), the verification
algorithm outputs a third value, which means that thevalidity of the message cannot be verified. Our model makes
it possible to know the verification result more precisely,
which in turn makes it possible to control IoT devices
precisely.

MIZUYAMA

NAGAO

Growth Rate Forecast for

The appearance of closed-type artificially lighted plant

YoshinoTomoharu

Maximizing Yield in Plant

factories, in which each growing shelf is enclosed, has madeFactories

it possible to obtain accurate values of environmental
variables. Therefore, it is necessary to predict the growthrate and to analyze the relationship between the growth rateand environmental variables in order to maximize the yield.
In this study, we propose a three-step method to improveaccuracy in order to construct a regression model with good
explanatory power from a small amount of data. Although
the proposed method did not improve the accuracy
compared to the comparative method, we were able toexpress the relationship between the growth rate andenvironmental variables, which has been a black box, byusing equations.

MIYAZAWA
TomokiSHIKATA Junji

A Study on Construction of

Recently, quantum computers have been actively developed.

Semi-Adaptively Secure

Considering that a practical quantum computer appears in

Inner-Product Predicate

the future, it is important and interesting to develop post-

Encryption from Lattices

quantum cryptography that is resistant to quantum
computers. In this thesis, we propose a lattice-based semiadaptively secure inner-product predicate encryption (IP-PE)
scheme. The IP-PE is a functional encryption where we canspecify decryption conditions by embedding attribute vectors

both in private keys and ciphertexts. By comparing with theexisting construction, we show that our construction is more
efficient in terms of secret key-size.

MIYAZONO

MATSUMOTO

A Study on Instrumentation

Recently, quantum computers have been actively developed.

FumikiTsutomu

Security of In-vehicle

Considering that a practical quantum computer appears in

Monocular Cameras

the future, it is important and interesting to develop postquantum cryptography that is resistant to quantum
computers. In this thesis, we propose a lattice-based semiadaptively secure inner-product predicate encryption (IP-PE)
scheme. The IP-PE is a functional encryption where we canspecify decryption conditions by embedding attribute vectors
both in private keys and ciphertexts. By comparing with theexisting construction, we show that our construction is more
efficient in terms of secret key-size.

YAGI Hitomi

NOMA Atsushi

Weierstrass Points of non-Among in-vehicle sensors, inadequacies in the measurement

hyperelliptic curves ofresults of in-vehicle monocular cameras, which are used forgenus threea wide range of functions such as perimeter checking, lanedetection, and sign detection, can lead to serious traffic
accidents. In this paper, we investigate new attacks thatthreaten the instrumentation security of in-vehicle
monocular cameras from various perspectives. The
feasibility of the attacks and their impact on the system areanalyzed, and countermeasures against the attacks are
established to improve the security of the in-vehicle
monocular camera.

YAMAGUCHI

NAGAO

Proposal of MachineOver the last few years, tumor detection with deep learning

SatoshiTomoharu

learning model for Brain

has attracted ample attention. Various models have been

Tumor Detection

proposed in the brain tumor detection field, However, it isdifficult for doctors to understand the detection proceduresof these models. This difficulty hinders their practicalimplementation. Therefore, for practical use, we need topropose a model that is easy for doctors to understand. In
this paper, we propose a model that detects tumors in a waythat is easy for doctors to understand. To validate theeffectiveness of the model, we applied it to data provided bya medical practice to check the output images and theaccuracy of the proposed model. The results showed an
improvement in the continuity and readability of theprediction results compared to the model proposed in 2018.

YAMAZAKI

MATSUMOTO

A Study on Side-Channel

We have studied the side-channel security of hardware that

Mitsufumi

Tsutomu

Security of Pairing

computes pairings for advanced cryptography with low

Hardwarelatency. The main result is that in the FPGA implementationof Optimal-Ate pairing on the BN254 curve, the correlation
power analysis using about 10,000 waveforms can disclose
the secret information when the inputs are selected
conveniently for the attacker. This result implies that secure
implementations of pairing need to ensure that the input
value verification.

YOSHINARISHIRAKAWA

Developing an

Weight parameter initialization is an essential part of neuralNozomuSinnichi

Architecture-Aware

networks' training due to the non-convexity of the loss

Initialization Method forfunction. However, while network architectures are

Neural Networks

becoming more complex, classical initialization methods
assuming simple models are still used. In this study, webuild an architecture-aware initialization method considering
all models in NAS-Bench-201. We show the proposed
method improves the performance of many models andprove the importance of initialization considering networkarchitecture.

YOSHIHARAUSHIKOSHI

Asymptotic behavior of

I study the asymptotic behavior of eigenvalues andHiromasa

Erika

eigenvalues andeigenfunctions of a thin elastic rod with non-uniform cross-eigenfunctions of a thinsection. The purpose of this study is to generalize theelastic rod with non-asymptotic behavior of previous research by introducing new

uniform cross-section

thinness parameter. Specifically, new asymptotic behavior isdefined by parameter which differ in each component.
As a result, I generalize previous research in the form of
expansion of it.

WATANABE
TakashiTOMII Takashi

Evaluation of Vehicle-Grid

In this research, we construct a database enabling

Integration Using a Lifelog

quantification of energy flow in smart grid environment of

Database Integrating

the future by storing power demand, renewable energy and

Renewable Energy andelectric vehicle (EV) charging/discharging lifelog.

Electric Vehicle Data

By aggregating/comparing energy flow for each scenario
classified by the presence or absence of microgrid
components using actually collected lifelog, we showed that
it is possible to evaluate the feasibility of VGI (Vehicle-Grid
Integration): the idea of regarding EVs as smart gridbatteries.

VALLEJOPARRA

OKAJIMA

DIEGO Katsunori

AUGUSTO

Simulating Realistic Haptic

We conducted a study to check if it was possible to simulate

Sensation Using Dynamic

tactile sensations of the texture of real objects on a

Visual Information of Real

computer through the Phantom Premium haptic device from

Objectsthe visual information of these. First, we made a dataset ofninety objects with different textures and appearances.
Then, we calculated the tactile parameters of each one with
the Phantom and a large number of features obtained fromvideos of them. We used this information to perform a
multiple regression model with which to make predictions
from the dynamic visual information of the objects.
Subsequently, with the obtained predictions, we created 3D
tactile models using the Unity tool. The results of our model
showed a good level of efficiency. To validate thisinformation, we performed three experiments on participants
to validate the level of reproducibility acquired, and theefficiency of the model when evaluated by a group of people.
The results showed that the more defined characteristics ofthe object were, the greater reproducibility and naturalness
to the touch were achieved.

WANG Zizhou

OKAJIMA
Katsunori

Development of Multi-

Most displays have three primary colors of RGB for each

spectral Light Source andpixel, so the color reproduction area is narrow. In this study,

Spectral Distribution

we have developed a multi-spectral light source that can

Reproduction Display

generate an arbitrary spectral distribution using
micromirrors. A program that can automatically control eachstate of the micromirror array from wavelength information
was realized, and illumination light with an arbitrary spectral
distribution was generated. Furthermore, by combining thedeveloped multispectral light source and a monochrome
monitor, we have developed a multispectral display that cancontrol the spectral distribution and images insynchronization.

XIE Jun

OKAJIMA
Katunori

Rendering method to

In this paper, we focus on the effect of blurring and propose

reproduce the quality ofa rendering method that improves the quality of the texture

projected object inin the projected image for high-precision visual reproduction

projection mappingof the object surface in projected AR. By introducing it into
an adaptive projection AR system based on the XYZ color
space, it is possible to suppress the "Luminous Feeling" inwhich the projected object appears to shine in real time.
Specifically, after calculating the projected color, theobtained image data of the projected texture and thesharpening filter are convoluted to emphasize the outline ofthe part that is blurred by the smoothing processing.
ZHANG Zhihan

SHIRAKAWA
SinnichiAccuracy improvement of

Improving the precision of human retinal image

retinal vessel segmentation

segmentation is of great help to doctors' diagnoses. Aiming

using neural architecture

for the accuracy improvement of the retinal image

searchsegmentation, this study extends ASNG-NAS that is astochastic relaxation-based one-shot neural architecture
search and develops a search space for image segmentation.
From the experiment using the retinal image datasets, weshow that the architecture obtained by the proposed method
can improve the segmentation accuracy.

PEI JINXING Pei SHIKATA Junji
Jinxing

A Study on Algebraic

In the modern information society, it is important to

Manipulation Detection

guarantee reliability and trust of information. The

Codes with Non-uniform

cryptographic schemes that satisfy the functionality in terms

Distributionof information theoretic security includes the algebraic
manipulation detection code (AMD-code) that detects data
tampering without any secret key. In this thesis, we study
AMD-code with non-uniform randomness. For AMD-codes,
we derive a lower bound on randomness and show an
optimal construction.

LING Xiaotao

NAGAO

Semantic Segmentation

In recent years, various methods have been proposed in the

Tomoharu

Using Depth Information

area of autonomous driving. For safe and highly efficientautonomous driving, the technology for recognizing thesurroundings of a vehicle is very important, and one of themis a method called semantic segmentation that assigns classlabels at the pixel level. However, since there is a limit inlearning with only a single image, in this study, we propose asegmentation model structure using depth information withan Attention mechanism in the channel direction added
based on PSPNet. In addition, to solve the problem that the
CG data used for learning is to precise, we propose a data
preprocessing method that imitates the way human observeby using Morphological Transformation of Closing. According
to the experimental results, the accuracy of the proposedmodel is improved by 1.41% compared to PSPNet trained
only with RGB images, and when the Closing processing isused, the accuracy is further improved by 0.50%