Mindfulness is one of the most effective approach to promote our well-being. It is the state
where one has been observing nonjudgmentally and focusing intentionally on one's current experience such
as physical sensation. In this paper, for the purpose of supporting meditation practice, we quantied the
resting and meditative states using brain activity data measured by functional nuclear magnetic resonance
imaging. The difference between the meditation novices and experts has been revealed by our proposed
We started a research project to develop technology guidelines for promoting wellbeing, with focus
on value systems seen in collectivist cultures such as Japan (i.e., the values generated from human relationships
vis-à-vis the group one belongs to or one processes as objective). We will establish and disseminate information
technology guidelines with an emphasis on how we can charge such cultural perception of wellbeing into information
technology, and how information technology can approach problems in collectivist cultures.
This paper considers an analysis of healthcare data by using PLSA toward development of a health behavior promotion model. In order to apply PLSA to healthcare data, we adjust the weights of factors of healthcare data based on the patterns of health guidance and analyze the effectiveness of adjusting weights. The experimental result of clustering indicated that the clustering when adjusting weights brought about better clus-tering performance regarding the patterns of health guidance than clustering where the weights were fixed, by the evaluation measures: Precision, Recall and F-measure.Moreover, we found that increasing the degree of the weights enhances the clustering performance particularly in terms of Recall.
The transport service as one of the social infrastructure service have characteristics such as “Intermediate goods”, “Move human or materials directly”, “Public goods” and “Poor in direct interaction between providers and customers”. Therefore, it is difficult to explain the service by existing service concept but it is known that SLA concept is suitable to explain the service. In this paper, I investigate the timetable as one of the components of SLA.As a result, I found out that the time interval, which is one of the elements of timetable, is important to evaluate the transport service.
Foreigners who visit Japan exceeded 30 million a year. It is inevitable that they will be disaster vulnerable people when a large-scale disaster occurs during their stay. But, countermeasures for that is not enough. In this report, we consider a way of evacuation induction, a plan of two step guidance, a possibility of business model for sufficient supply of private shelter by contract between private companies, and an activities to carry it out.
Japan and Korea are becoming one of smart societies due to the development of ICT. On the other hand, damage of cybercrime such as ransomware and cyberattacks from overseas is increasing every year. Nowadays, strengthening cyber security has become the most important issue in order to maintain an environ-ment that can be in safe online use, which is essential for everyone's life. The cyber security policies of Japan and Korea emphasize public-private cooperation, but this requires close communication between government and enterprises. From a comparative case study of Japan and Korea, the way of cyber security communication between the government and enterprises will be examined.
Agent-Based Modeling is an emerging methodology to analyze, understand, and design various
complex social phenomena. This paper introduces the basic principles, then discusses the characteristics, the
superiority, and difficulties referring to representative literatures.
This paper explains how to use results from data analysis for social simulation In order to conduct rigorous numerical simulation with actual data, we normally confirm validity of both data and software. The CAPD cycle is a quite useful procedure to make it ensure to produce software for social simulation with data.
This study pays attention to the battery exchange type electric bike as environmental protection vehicle and makes it widely available as new transportation in urban areas. When driving on this bike, if the battery runs out, user replaces the battery and continues driving. Unlike conventional vehicle, this bike doesn`t take a charge times. This is what we work for realization of Smart Cities. The characteristic problems of this bike are shortness of cruising distance and early battery deterioration. The battery of this bike is small, because this battery was designed for easy replacement by anyone. So, the purpose of study is solving these problems for realization and makes it widely available. This study constructs vehicle speed pattern which suppresses battery deterioration and the slowdown and reduces the battery exchange number of the times. And, we suggest the systems deciding exchange timing, the vehicle speed pattern and the electricity power output to the destination.
The authors are developing a design support system to create a new mission in the space field.
The system is a design support tool used in conjunction with the CAE tool used in product design. In addition,
it handles the input parameters of the CAE tool by dividing it into two pieces of information.
For the promotion of domestic industry, we are promoting the application of the system to industries other
than space industry. For application to various industries, we thought that it would be better to divide the
CAE tool information based on duality. In this report, we show examples of information definition based on
duality and examples of application to design, and show possibility of interchange of different industries.
The formulation of artifacts would be probably possible by Matsui’s matrix equation (Matsui’s ME, 2009) and its sandwich body. This paper explores this plausibility in 2016 and 2017 toward the nature vs. artifacts science and its visibility, and points out the dual-chain system of SW-body and its lattice structure. Probably, the sandwich vs. duality solution of Matsui‘s ME would be sublated at the intervention (existence) of Euler’s formula. By the paper, it is revealed that our matrix approach would be useful to the higher manage-ment of enterprise or artifacts in the real-time world.
In the manufacturing industry, each company that makes up a supply chain adds value to the final
products through the chain. Although each company is indispensable to obtain the final product, the importance
of each company and the evaluation of the entire supply chain varies depending on the possibility of alternative
companies or the state of information sharing among the companies, and so on. In this presentation, we express
the supply chain in a matrix style and apply the page rank idea used in Web page ranking to try to evaluate the
importance of each company and the entire supply chain.
This research built a model for evaluating inventory in terms not only of cost but also of asset value,
considering the relationship with demand fluctuations and production process. Inventory is regarded as a
distinct activity in the process and that value is evaluated, taking into account the price of final product, possibility
of sales, resource losses and uncertainty of unrealized profit. Inventory value is computed applying the
model to the manufacturing process of fabric wire for papermaking.
Collective intelligence is a mechanism to aggregate information held by many agents and generate
useful information. In order for the generated information to be useful, it is a sufficient condition that
the agents should independently generate information to be aggregated. On the other hand, in the case
of humans, as they give priority to the return of each individual, not to the accuracy of the collective
intelligence, they often use social learning and imitate the choices and actions of others. Independence of
information to be aggregated is not preserved and the collective intelligence mechanism does not function.
We conducted an information cascade experiment using two-choice general knowledge quizzes. When quizzes
are easy, collective intelligence functions and the correct answer rate improves. However, when the quizzes
are difficult, it becomes random whether the correct answer rate improves or deteriorates This change is a
phase transition due to a change in the number of stable states of nonlinear Polya urn process. The essence
of the phase transition is whether the in
uence of the rst subject's choice (Domino effect) percolates or not
in the innitely long subjects' sequence.
We study a model for social-learning agents in a restless multiarmed bandit (rMAB). The
rMAB has one good arm that changes to a bad one with a certain probability. Each agent seeks the good
arm by random search with probability 1-r, or copying information from other agents (social learning) with
probability r. Each agent’s fitness is the probability to know the good arm. In this model, we explicitly
construct the unique Nash equilibrium state and show that the corresponding strategy for each agent is an
evolutionarily stable strategy (ESS) in the sense of Thomas. The ESS Nash equilibrium is a solution to
Rogers ’paradox. We also consider the space of mixed strategies and introduce a natural dynamics aiming
at increasing each agent’s fitness. It is shown that the dynamics converges to the ESS Nash equilibrium.
Reservoir computing (RC) was first proposed as a framework to train recurrent neural networks. In this framework, a low-dimensional input is projected to high-dimensional dynamical systems, which are typi-cally referred to as a reservoir. If the dynamics of the reservoir involve adequate nonlinearity and memory, em-ulating nonlinear dynamical systems only requires adding a linear, static readout from the high-dimensional state space of the reservoir. Because of its generic nature, RC is not limited to digital simulations of neural net-works, and any high-dimensional dynamical system can serve as a reservoir if it has the appropriate properties. The approach using a physical entity rather than abstract computational units as a reservoir is called physical reservoir computing (PRC). In this presentation, several novel platforms based on PRC are introduced using physical substrates. These platforms include soft materials (e.g., silicone-based soft robotic arm) and faraday waves generated on the water surface (which we call,
“physical liquid state machines”), and they illustrate the potentials of the framework through a number of experiments. The focus will particularly be on how dynamical system aspects can provide a novel view of the PRC framework, including the relevance of noise-induced phe-nomena or random dynamical systems.
Recently, neuroeconomics---a unified discipline of economics and neuroscience---has been developed. Research topics of neuroeconomics include neural processing underlying decision under risk, intertemporal choice, and social preferences. Studies in neuroeconomics have revealed that human judgment and decision making usually violates classical rationality (e.g., Kolmogorovian probability theory, exponential time-discounting, von Neumann-Morgenstern’s expected utility theory). We observed that rationality and intelligence defined in terms of neuroeconomics is related to human intelligence and rationality in terms of cognitive science. These findings are relevant to problems in financial markets, artificial intelligence, and robotics.
Information and communication technology (ICT) has various potentials to contribute to activate
societies not only in cities but in regional areas. In particular, collaboration among groups from industries, local
governments and universities will lead to one of powerful systems, and universities in such collaboration may
play important roles.
In April of 2017 Shiga University launched the first faculty of data science in Japan and began
systematic education of data scientists. In the new faculty we emphasize practical seminar classes. We review
policies and the goals of the new faculty.
This paper illustrates flipped classes, which are said to be effective for personalized education. In flipped classes, students are required to study video lectures in their home. They are expected to ask questions and work on advanced assignments in the classes. However, abilities of educators are key elements for the suc-cess of flipped classes. They should supervise students according to their understanding levels in classes. The paper proposes a method to evaluate to assess the understanding levels of students who finished video lectures.
There has been a notable increase in importance of a “public-private partnership platform” as a solution
for local problems. This paper explorers what roles ICT plays in a development of this platform and how local enterprises
can pursue the development as a sustainable business, putting a special focus on open-data.
The substantial issue in super-aging society is care reduction and extension of healthy life. In the near future, people of 80s or 90s could play a leading role in elderly community activities. In preceding re-search, we have got Motivation-Skill Co-creation Model through the analysis of an amateur orchestra. Based on this model, we have been conducting practical research of “Vocal Salon”. Various developments have been made in three years of activity of this salon. In this paper, further discussion is described on what effects the Value Co-creation model have influenced on “the place of community”.This discussion includes the Value Co-creation Model with the positive feedback of skill and motivation , standing on the viewpoint of Service Science.
This paper deals with distributed and optimal real-time pricing problem in electricity market and power grids. After consumers, generators, and ISO are defined, a distributed and optimal pricing problem is formulated.
This paper proposes an ecnomic modeling for human moral and human decision making in the
context of electricity saving by the pro-environmental motivation. Former studies on the moral modeling
have alreay proposed a variety of ways to express the moral motivation starting from the discussion of “warm
glow”. Recently, another way of modeling “kantian model” is widely accepted. And now it is well known that
providing incentives sometimes negatively impact on the human decision making, that is, providing incentives
to the environmental friendly behavior could result in the reducion of the pro-environmental behavior. We
call such effect “crowding-out”. In the manuscript, we firstly explain the household electricity consumption
decision model. And next, we introduce the two major energy policies, critical-peak pricing and negawatt
trading. After that, we formulate the human moral by applying the kantian way of modeling to the energy
consumption decision making. When considering the human moral, we show that the crowding-out surely
reduce the amount of electricity saving. And furthermore, we show that the magnitude of crowding-out
differes under the different energy policies. We therefore conclude that the policy choice is closely related to
the human moral and the magnitude of the crowding-out could change the order of effectiveness of different
A distributed road balancing problem via a consensus algorithm over a noisy network is investi-
gated. The topology of the network which denes the availability of communication among agents is assumed
to be represented as a directed and strongly connected graph. The convergence analysis of the algorithm
reveals an explicit relation between the number of iterations and the closeness of the agreement, which gives
a stopping rule for the consensus algorithm. The result is illustrated through a numerical example.
In recent year, energy saving becomes more important implementation to overcome climate change and energy problem in Japan. One of the key ways to encourage people to do energy saving behavior is the implementation based on the people’s psychological factors. In fact, researchers in an experimental and behavioral economics field try to reveal the effect of such factors how much affect the energy saving be-havior. Based on these back ground, this study review previous studies that try to reveal the relationship between the energy saving behavior. Finally, this study concludes the future role of a demand side con-trol using by the finding of experimental and behavioral economics field.
We discuss a real-time pricing method for an electric power system based on model predictive
control (MPC) by the real-time optimization and estimation of a consumer's parameter using a particle lter.
Consumer characteristics are modeled by a sigmoidal demand function that represents saturation effects and
the price elasticity of demand, and the price elasticity is estimated on line by a particle lter. Then, the
electricity price is determined by MPC to suppress the frequency deviation in the entire power system and
the deviation of power consumption in heat pump water heaters. We conducted numerical simulations to
compare the performance of our proposed method with that of the direct control scheme used in the previous
research. We demonstrate that a supply-demand balance is achieved by price presentation in spite of a large
uctuation in wind power and the uncertainty in a consumer's parameter.
This paper focuses on a nonlinear stochastic system, which is a dynamical system possessing
nonlinearity and probabilistic uncertainty. First, the concept of stochastic differential equation is briefly
explained as a system representation. Second, stochastic analysis necessary for analysis and controller design
in stochastic control is summarized. One of the main advantage of stochastic system control is to achieve
given control objectives with uncertainties rigorously taken into account.
In this manuscript, we introduce a trial of integrating two research elds of control theory and
dynamical systems theory. We consider a class of uncertain dynamical systems. Then, a problem of robust
bifurcation analysis is formulated, and the solution is given.
A dynamical system is said to be positive if its state and output are always nonnegative for
any nonnegative initial state and any nonnegative input. Since positive systems frequently appear in those
fields of engineering, economics, biology, chemistry, pharmacy, etc., and since convex optimization works
particularly fine for the analysis and synthesis of positive systems, intensive research effort has been made
along this direction. In this note, we briefly review recent results on the analysis and synthesis of positive
systems using convex optimization and their applications.
The population game is a model of interactions in populations with many selsh agents. In
population games, focusing on evolutions of distributions of agents' behaviors in populations instead of
behaviors of each agent, we can discuss several problems caused by selsh behaviors of many agents. In this
paper, we introduce the population games and its control method based on a taxation and a subsidization
to each agent.
This paper describes concepts and applications of real-time optimization (RTO) and model
predictive control (MPC), which are active areas of research in the systems and control community. At each
sampling time of MPC, the system response is predicted and optimized over a nite future. Therefore, RTO
is a key component of MPC, particularly for nonlinear systems. In recent years, progresses in numerical
algorithms and computing power have been widening application areas of MPC from traditional chemical
processes to fast nonlinear mechanical systems. Some software tools have also been developed to automate
programming of numerical algorithms for MPC. Symbolic computation is an essential element in automatic
code generation for MPC of nonlinear systems with complicated mathematical models.
It is difficult to measure the hidden ability of making innovation. However, in the educational domain,
knowing the change of student's skill level is an important starting point to verify, and to improve the
content of education. This paper shows a case of innovation design education in Japan Advanced Institute of
Science and Technology. The change of score value with time on a self-assessment for the skill on making innovation
with a rublic and the result of interviews to the students are investigated.
Innovation in the connected cannot be realized without new standards that enable new functions with
cooperation among distributed components. This presentation discusses success factors to form collective technological
frames to develop new standards among stakeholders taking part in standardization processes.
Regression analysis is one of the popular statistical tools to construct a predictive model of a
scalar variable. For constructing a predictive model of an event in 2D/3D space, a 2D/3D vector is used to
represent the event and the predictive models are constructed for each of the elements of the vector inde-
pendently. In this paper, we focus on geometric transforms in 2D/3D space such as rotation and translation
and formulate regression analysis on them using geometric algebra. We demonstrate the descriptive power
of the model using some applications.
As social environmental changes, such as reduction of birth rate, aging population and both
working, increasing activities of life support robots is expected. Though we have developed fundamental
technologies for the robots, we did not evaluate the technologies from consumers' point of views. In this
document, we rst introduce the opinions of home-economics researchers about current life support robots.
Next, we recongure the technologies that we developed based on the opinions. Finally, we describe the
singularities of life support robots viewing from home economics.
In the Great East-Japan Earthquake, 398 fires happened in Eastern Japan area. We proposed three types statistical models and estimated their parameters using Maximum Likelihood Estimation or Markov Chain Monte Carlo Methods. Finally, we proposed real-time estimation method for the number of post-earthquake fire using these statistical models.
The purpose of this article is to introduce the concept of “managing the unexpected” using the case of Kumamoto earthquake. Sensemaking, sustained organizing and adaptive managing are the crucial keys to survive a world of the unexpected.
The Kumamoto earthquake which occurred in 2016 left various problems about disaster prevention,
disaster mitigation and disaster response. In this presentation, We examine the problems with the social
science aspect from a point of view that is “managing the unexpected”.
In order to mitigate natural disasters, it is effective to get information about various hazards from natural disasters and meteorological information and judge whether the place where one locate is safe or not and evacuate to safe place if the place he or she locates is judged unsafe. In this study we discuss the possibili-ties and problems of current available smartphone applications for disaster mitigation.
In ImPACT TRC (Tough Robot Challenge) project we have developed cord-like robots for not only daily maintenance/inspection of plants but also disaster response. In this paper overview of development of the cord-like robots is introduced and future progress is discussed.
This paper introduces a notion of odometry to a snake like robot. When a snake like robot is
used for surveilance in a narrow space, such as disaster debris, the operator cannot see the robot directly.
Our goal is to realize a visualizer such that a thrid person's view of the robot appears on the display for the
operator. For that purpose, position and orientation of the robot has to be obtained by the system. This
paper describes odometry of the snake like robot,
This paper presents the variable rigid membrane mechanism based on variable inner volume
mechanism. This mechanism allows to grip collapsing, soft and fragile objects without over-strong pressure.
We have designed and developed the real prototype model. In addition,we confirmed validity of the proposed
There is a need for inspections of the inside of aging pipe arrangements without dismantlement
in plant facilities. Snake robots are expected to be deployed as a solution for it. In this study, we developed
a teleoperation interface system that visualized snake robot shapes and contact forces applied from pipes,
stabilized video feeds from a head camera, built a pipe map based on a snake robot trajectory, and took
pictures of the inside of pipes for image mapping onto the pipe map.
Maintenance and inspection of old buildings, bridges, tunnels, and so on are important tasks of robots. In our previous work, for such tasks, we developed a multi-legged robot that climbs an unknown verti-cal wall by using suckers. In this report, we improve the mechanism of the leg and develop a six-legged robot that has higher mobility than previous one.
In this paper, we describe the development of the suction component which can adsorb to various
walls. Conventional suction components cannot adsorb walls with undulations and irregularities. The suction
component developed has a structure in which the suction part and the holding part are separated. The suction
part can conform to the target surface by using a flexible sealing material. The problem with the developed adsorption
component is that it requires a large suction flow rate. Therefore, the suction part was reexamined. By
combining a plurality of flexible materials it was possible to reduce the required suction flow rate.
Information and communications technology (ICT) services have the potential for carbon dioxide
(CO2) emission reduction and economic growth. However, the money or time saved by using ICT services may
increase CO2 emissions, which is called the rebound effect. We developed an integrated model based on the
static computable general equilibrium model to assess the environmental and economic impacts on productive
activation and users’ behavior changes due to ICT services usage. CO2 abatement and increase in the gross domestic
product were estimated with our model.
This paper explains the background and structure of the new mathematical model to assess sustainability
in Japan. The core part of this model is a computable general equilibrium model, and various environmental
issues such as greenhouse gas emissions, solid waste, water environment and land use are included.
In addition to that, in order to assess the societal problems such as aging society and economic disparity in Japan,
the model has households classified by the age of the household head. Based on the simulation using this
model and the discussion with stakeholders, the expected sustainable society in Japan will be quantified.
We still have huge challenges in artificial intelligence and robotics when we attempt to introduce
autonomous robots into our daily environment, e.g., home and offices. Machine learning methods, especially
deep learning, have already achieved huge success in many pattern recognition tasks that are carefully prepared
and in which each system are expected to learn a global rule. However, each robot has to adapt to each local
environment not only physically but also semantically via interaction with people living there. We need to invent
more adaptive intelligence based on unsupervised learning. In this talk, I introduce the R-GIRO project
called “International and Interdisciplinary Research Center for the Next-generation Artificial Intelligence and
Semiotics” funded by Ritsumeikan University, and talk about future challenges in this field.