List of Dissertation Abstract (Department of Artificial Environment)
Name
HU TINGYISupervisor

Title

Yasumoto

Research on continuous

Masanori

utilization of User Innovation in
Product Development —A Case
Study on MIUI Community—

ZHAO
YUCHEN

Narumi Daisuke

Study on demand response of thevending machine

Abstract
It is an important issue for companies tocontinuously utilize user innovation. In thisstudy, the author took up the community "MIUI"
of Xiaomi, a Chinese mobile Internet-relatedcompany, as a case. This study showed that thecommunity can be expanded by giving
management authority to users and promoting
communication within the community. The
author also clarified the possibility that thepyramid-shaped organizational structure canpromote the continuous utilization of user
innovation.
In VPP conjugating for the supply and demand
adjustment of the electricity by the high energy
management technology that utilized IoT, I pay
my attention to DR changing an electricity
demand pattern. This study pays its attention toa drink vending machine installed in the wholecountry more than 2 million and is intended that
I evaluate the possibility as the DR resource
based on an experiment and simulation. In
addition, I pushed forward examination for the
purpose of the suggestion to develop for thegroup control that bundled up many vending
machines which existed by construction in a
predictive model in the city.

Amano Kyohei

Kumasaki mieko

Study of the Deterioration of

The deterioration of gas generators due to

Guanidine Nitrate Exposed tomoisture absorption for a long term has caused a

Ozone-Water Mixture Gas.

great number of accidents all over the world. In
this study, we focused on guanidine nitrate as areactive material used in airbags andinvestigated whether its thermal decomposition
behavior influenced by accelerated deterioration
tests that assume long term exposure to ozone.
The results indicated that ozone - water mixture
gas exposure increased the ammonium andnitrate ion content and the pressure increasing
velocity.

Inoue Kazuki

Mieko Kumasaki

Reaction characteristics of

Cocrystal is defined as crystal composed of twoenergetic cocrystal containing

or more different molecules in crystalline

oxidizer/reductant

structure. Cocrystallization connects reductant
and oxidizer to synthesize energetic materials
with high performance due to its short molecularintervals. In this study, novel energetic cocrystal
composed of 1H-tetrazole and sodium
perchlorate was prepared. This cocrystal showed
higher sensitivity and deflagration performance
than the mixture of ingredients.

Otsu Takanobu Hondo Hiroki

CO₂ abatement costs ofcommercial solar water heating
systems by region and business
type

KawataNozomuIto AkihikoPreparation of MgO–SiO2 Films byMetal-organic Chemical Vapor
Deposition

Japan commercial section aims to reducegreenhouse gas emissions by about 51% in fiscal
year 2030 from its fiscal year 2013 levels. To
reduce CO₂ emissions due to hot water demand,the use of solar water heating systems(SWHS) is
expected. The purpose of this study isestimating CO₂ abatement costs of SWHS byregion and business type and identifying
introducing condition of cost-effective in CO₂
reduction. The estimation results reveal that the
introduction condition that is cost-effective in
CO₂ reduction. It is identified that the following
conditions have high CO₂ reduction costeffectiveness for SWHS installation; (a) when
the region is warm and there is much sunlightquantity, and (b) when business type with a highdemand for hot water supply and the demandcenters daytime.
Materials in MgO–SiO2 system exist in large
quantities on earth, and MgSiO3 garnet is
expected to be applied to a novel cost-effective
phosphor in white LED. In the present study,
MgO–SiO2 system films were prepared using
metal–organic chemical vapor deposition and theeffects of deposition conditions on the phasecompositions, microstructures, and opticalcharacteristics were investigated.

Kitagawa Yuta

Tadahiro Shibutani

A Proposal of Prediction Methodof Origin Direction and Crack
Growth Rate on Fatigue Fracture
Surface Using Computer Vision
Technology

SATO Kota

NARUMI Daisuke

Impacts of Urban Heat Island on
Ecosystem Services

Fracture surface analysis is an indispensable
technique for damage investigation anddetermining the cause of fracture. However,conventional analysis methods are qualitative
methods that depend on the subjectivity of theanalyst for evaluation, and there are issues suchas the need for skillful analysis and a decreasein the number of skilled workers. In this study,
we propose a method to estimate the directionof the origin and the crack growth rate of thefracture surface of fatigue fracture using
computer vision technology in order to shorten
the time of fracture surface analysis,
quantitatively evaluate the results, and support
the analysts.
It is not difficult to imagine that the futurecontinuation of rising temperatures in Japan'surban areas will affect our lives due to thesynergistic effects of the heat island effect andglobal warming.
In this paper, the relationship between heatisland intensity and ecosystem services in Osaka
Prefecture at present and in the future whenheat island mitigation measures are
implemented is clarified using production as anindicator of the amount of damage that will becaused by future temperature increases. This
paper can be regarded as a pioneer in thedevelopment of scenarios for the introduction ofheat island countermeasures that focus on theprotection of ecosystem items.

Terauchi Yuki

Shibutani Tadahiro

Advanced HALT Testing Using
Data Analysis with Deep Learning

Demmi Shun

Shiraishi Toshihiko

A Study of Noise Control of aMoving Evaluation Point by Using
Neural Networks

In recent years, limit tests called HALT havebeen attracting attention in order to detect
vulnerable parts of electronic equipment at thedevelopment stage and to prevent productfailure at an early stage. In recent years,
however, electronic devices have become more
complex and smaller in size as their performance
has improved, making it difficult to identify thelocation of the cause of failure. In this research,
we aim to improve HALT by analyzing the test
results using deep learning, a field of AI.
In this paper, we proposed a novel structure ofneural networks and a method to bias thelearning rates for noise control system in orderto improve the control success rate and noise
reduction performance when an evaluation point
moves. The effectiveness of each method wasinvestigated by numerical simulations. The
results show that the proposed structure using
the method to bias the learning rates has thecontrol success rate of more than 90%, which is
30% better than a conventional structure andthat the noise reduction performance isapproximately 16 dB, which is approximately 4
dB better than a conventional structure.

Tominaga

Nakano Ken

YusukeFriction simulation of elastomer
by foundation model with surface
roughness

Nomizu Daiki

Matsumiya

Mutual separation of rare earth

Masahikoelements by batchwise multistage extraction using diamide
based ligands

Flexible elastic materials such as elastomers
exhibit high friction because they have a higher
elastic modulus and a larger deformation volume
than hard materials such as metals. There are
two types of friction, adhesion friction andhysteresis friction, and hysteresis friction was
the focus of attention in the development of theeco-tire. In this study, a foundation model withsurface roughness was used for simulation.
From the results obtained, the effect of surface
roughness on the friction coefficient andpenetration of hysteresis friction is reported.
We studied the stepwise formation constants ofwater-soluble diglycolamide (DGA) anddioxaoctanediamide (DOODA) for the mutual
separation of rare earth elements in a solvent
extraction system. Metal complexes of two- andthree-folding with water-soluble DOODA and
DGA, respectively, were found, and each
stepwise formation constants value wascalculated using distribution ratios. Taking
stepwise formation constants, their distribution
ratio and separation factor, values into
consideration, the suitable separation conditions
were determined. In this study, La, Pr, and Nd
were mainly present in the aqueous phase,whereas Sm–Dy existed in the organic phase.

Fujie Sayaka

Ito Akihiko

MASUDA

NAKANO KEN

JUNYA

SrHfO3 has excellent scintillation properties withhigh relative density and large effective atomic
chemical vapor deposition andnumber; however, SrHfO3 has not been
evaluation of their luminescence
understood well because SrHfO3 is difficult toproperties
prepare due to its high melting point. In thepresent study, Ce3+-doped SrHfO3 thick films
were epitaxially grown on single crystalline
substrates using laser-assisted chemical vapor
deposition. Fluorescence lifetime and light yieldfor α-ray excitation were reported.
In order to improve the life of machine products,
Relationship between the layer
it is essential to reduce the friction on the
structure and macroscopic
viscoelasticity of the concentrated surface of it. A concentrated polymer brush is an
example of a material having low friction
polymer brushes
characteristics. A mechanical contact test was
performed in which a metal ball was brought into
contact with a substrate to which CPB wasapplied, and load, amplitude phase response andfilm thickness analysis were obtained. As aresult, it was found that CPB generates anadhesive force and that the layer structurechanges due to the adhesion. It was concluded
that the waiting time does not affect theadhesion force, but the pushing load does.
Preparation of SrHfO3 films via

maruyama

nakai satoshi

ryuta

Mitsuhashi
Yuri

Akihiko ITO

The need to conduct health impact assessments
to support decision-making on air pollution
assessment of long-term
control policies has been pointed out, and many
exposure to NO2 in Yokohama city studies have been conducted, mainly in Europe
and the United States. However, the number offrom 2000 to 2018
HIA in Japan is limited and sufficient knowledge
has not been obtained. In order to accumulateknowledge that will contribute to air pollution
countermeasures in Japan, this study aims to
conduct an air pollution health impact
assessment (HIA) and estimate the healtheffects at current pollution levels. Using AirQ+, asoftware tool developed by WHO/Europe forassessing the health effects of air pollution, we
estimated the mortality effects of long-term
exposure to NO2 in Yokohama City.
Al2O3–Y2O3 system is widely used as optical
Preparation of Al2O3–Y2O3 films
materials such as phosphors and scintillators
using chemical vapor deposition
due to its excellent mechanical and opticaland their luminescence properties properties. In recent years, non-destructive
testing using X-ray has become importantbecause of the increasing demand for electronic
devices, and a direct preparation method of film
scintillators for high-resolution imaging isrequired. In present study, Al2O3–Y2O3 films wereprepared by chemical vapor deposition, and theeffects of deposition conditions on
microstructure and fluorescence properties were
investigated.
A Quantitative health impact

Wang Qishun

endo akira

XU MINJIE

Shibutani Tadahiro

The organization of large-scale events has
attracted more attention due to their economic
E-sports industry on the local
Economy in Shanghai -- Approach and social impact for the region as a means oflocal revitalisation. Many cities are actively
by Input-Output Analysis -hosting e-sport events to revitalise their cities
and strengthen their competitiveness, but thequantitative impact of e-sport events on thelocal economy is still unclear. This study focuseson the hosting of large-scale e-sport events andquantitatively analyses the economic impact oneach industrial sector in Shanghai using an
Input-Output analysis based on the 42-sector
Input-Output table for Shanghai in 2012.
A large number of accidents occur every day
Research on factor analysis ofhigh-pressure gas safety accident around the world, and these accidents arereport based on machine learning recorded in natural language. However, thesenatural language accident data is difficult andtime-consuming to analyze manually and identify
the relationship between factors. In thisresearch, I propose a machine learning-based
natural language processing method to extract
accident factors and analyze factor relationships.
I tested traditional machine learning methods
against Word2vec and bert, and checked theapplicability of the models.
An analysis of the impact of theShiyue Cheng

Shusa yoshikazu

Research on the competitive
strategy of retail enterprises
under the environment of new
retail in China： Take Freshhema
and Costco as examples

PAN
QINGRONG

Yang Zhanyu

YasumotoMasanori Research on construction ofcompetitive advantage of
emerging enterprises inarchitectural innovation - A casestudy of DJIKOBAYASHI

Proposal for improvement ofTakeshisurface soil gas investigation
technology for high-concentration
volatile organic chlorinecompound contamination

Under the influence of new retail, many
traditional retailers are turning business models
one after another.why can some of the new retailcompanies succeed? How do they build theirown competitive advantage? With this problem,
this paper clarifies the problem through theresearch of the case study, and through thehearing to the top management of the retailbusiness such as the store manager.
This paper clarifies the formation process of
unique architectural knowledge in the case of
Daegu's architectural innovation experience. It
explores any new impact on the construction of
corporate competitive advantage.
Many high-concentration soil pollutions due tovolatile organic compounds have become
apparent. Small and medium-sized enterprises inoperation are often uninvestigated, and simple
and accurate pollution investigation technology
is required. In this research, we propose an
improved method that can prevent the mixing of
surface air during soil gas sampling, which is aproblem with the conventional soil gas survey
method. This improved method can confirm thatanalysis can be performed with equal or higher
accuracy than the conventional method and themeasurement time can be shortened. did it.
Furthermore, by analyzing the actual pollution
site data and the model, we were able to study amethod that can estimate the pollution level andthe horizontal concentration distribution ofpollution from the results of the surface soil gas
survey.

LEI YUTING

Shusa Yoshikazu

A research on how the word of
mouth on SNS affects thedecision-making of theconsumers in China

Today, the online word of mouth has become
one of the most important elements that canaffect the consumers’ thirst of buying. In thispaper, I paid attention to the Chinese customers
and try to research how the word of mouth on
SNS affects the decision-making of theconsumers in China.
In this research, I designed a questionnaire
based on the Likert scale and used it to gather
the data I needed. With the help of the SPSS
26.0 and SPSSAU, I analyzed the data andverified the research model. According to theresult, first of all, the quality of information andthe number of information can affect theperceived risk. Secondly, the fame of theinformation origin and the number of information
can affect the group mentality. Thirdly, theperceived risk and the group mentality can affectthe thirst of buying. The perceived risk and thegroup mentality play a role of mediation in theprocess. Besides, there is a chain mediation
effect because the perceived risk can affect thegroup mentality at the same time. Further more,
the consumer’s involvement plays a role ofmoderator between the perceived risk and thethirst of buying, and the group mentality and thethirst of buying. Finally, I corrected my researchmodel and found that the number of information
can affect the thirst of buying directly. From
what has been mentioned above, I made it clearthat how the word of mouth on SNS affects thedecision-making of consumer.

LIU
SHANSHAN

NARUMI DAISUKE

Study on the countermeasures

In recent years, the temperature rise in urban

against heat-island phenomena

areas has been remarkable due to global

considering the regional

warming and urban heat island. In addition, it ischaracteristics of densely urban

positioned that densely populated urban area is

areawith an elevated risk of heat. Therefore, in thisstudy, we focused on the heat characteristics ofdensely populated urban areas, targeted typicaldensely populated urban areas in Nishi-Ku,
Yokohama, and grasped the effects ofdifferences in density on energy consumption
and thermal environment, as well as multiple
measures against heat. We quantified andevaluated the effect of improving the indoor
thermal environment and the block thermal
environment by the introduction.