In the global financial market, discussions on international standardization of these finance schemes are intensifying, and this has led to a battle for leadership between countries. By limiting the financial scheme, it seems that the prospects that dominate the sustainable international financial market appear and disappear. In this paper, these current issues are organized and reported.

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Focusing on the method of integration into management, what types of SDGs strategies are inte-grated as management strategies, such as “Domestic financial institutions”, “Foreign financial institutions”, “Non-financial institutions”. In order to contribute to the SDGs, we will clarify the strategic structure that can contribute to profit improvement.

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Social productivity of work team is based on “8. Decent work and economic growth” on SDGs. Social productivity is constructed by two phases, first is a teamwork as a social system, secondly is team produc-tivity as a production system within a same team. It is a global positive research activity and it has been continued since 1980’s. It bases on SECI model, and constructs production management as a new paradigm based on team value toward human welfare.

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Social productivity of work team is based on “8. Decent work and economic growth” on SDGs. Social productivity is constructed by two phases, first is a teamwork as a social system, secondly is team produc-tivity as a production system within a same team. It is a global positive research activity and it has been continued since 1980’s. It bases on SECI model, and constructs production management as a new paradigm based on team value toward human welfare.

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This study aims to consider the theoretical positions and relationships among the theory of customer experience by Bernd H. Schmitt; the Kansei information processing process proposed by Kansei engineering and Kansei science; and the three elements of Emotional Design by Donald A. Norman. Through case studies, we also consider what kinds of design processes exist and how these processes can affect the customer’s experience, which is difficult to manipulate in terms of product design in product development. In conclusion, we have considered and analyzed the process of design of products and services by focusing on the customer experience. The experience of customers, which is difficult to manipulate and control, has been clarified, and it is possible to implement product design in such a way as to realize the experience of the assumed customer. In addition, in this study, we have made suggestions about product design and the design process, focusing on the customer experience itself, as well as the related research and business.

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Sport consumption experience evokes a variety of emotions. These emotions span from positive (such as being deeply moved or joyous) to negative (such as despair or anger). This session will provide empirical results on emotional experience induced by sport especially focusing on Kando (Deligh) experience.

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This paper introduces the framework of the Kansei Value Creation Process Model proposed by the authors. Then, by looking at the process of product development from the viewpoint of the Kansei Value Creation Process Model, we consider what kind of ingenuity is necessary for product development to effectively create Kansei Value.

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There has been a further shift to leverage the large amounts of data from the Real World, including EHRs and disease management records or personal health records. The advancement of personalized medicine, smart medical devices, and rapid growth of e-health have further increased the size of and widened the potential of RWD. We are, however, confronted with a number of issues and challenges that need to be addressed. We will consider how we could promote the use of RWD for clinical practices, for patients, and for the society, although it is not necessary to strictly follow this format.

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With HAL (Hybrid Assistive Limb) as an example, we will discuss how to establish evidence for new medical devices. The use and evaluation method of HAL was constructed through a physician led clinical trial (NCY 3001) of the HAL medical lower limb type (CYBERDYNE Inc.). Since HAL has been shown to be effective and safe in 8 neuromuscular diseases in NCY 3001, the treatment with HAL has been covered by general health insurance Currently, we are exploring how the best long term effect can be obtained dependin g on the combination of other therapies, frequency and number of use of HAL, disease state, etc in the real world.

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Clinical trial data is acquired in an environment where noise factors (characteristics of patients, fam-ilies, doctors, hospitals, etc.) are controlled in order to verify scientific hypotheses. Real world data, on the other hand, is accumulated through daily activities that do not control noise factors. However, previous clinical trials in Japan valued the significance of not eliminating noise factors. I would like to consider the potential of health data science by reevaluating the underlying philosophy..

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Since 2005, the science of such artifacts as enterprise was mainly concerned with its physical-cyber aspect at IE&OR. This paper is further focused on its informational aspect, and gives the similar property to the physical-cyber artifacts at the pair-hierarchy view. First, the inequality of integration (Muda) vs. sharing (efficiency) is proposed and discussed on the base of information theory. Next, this numerical and harmonic solution would be given to and discussed with the case of correlation table in the class of pair-matrix. Finally, the rule (criterion) of efficiency (0.6) vs. Muda (0.4) is re-considered and re-evaluated under the coming knowledge-management society, in the vicinity of black-hall (kernel).

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A supply chain is a system consisting of different entities, which add value from the original resource sources to the final products for customers. Although each entity is indispensable to construct a supply chain, the degree of importance of each entity varies depending on the role played in the supply chain. In this paper, we assume that the information produced by the entity that plays more important role should be referred more by other entities for making appropriate decisions to effectively operate the supply chain. Namely, we develop index and a method that evaluates the soundness of the supply chain based on the structure of its information network using the Analytic Hierarchy Processes (AHP). Besides, we show a design method to search the ideal structure of the information network in supply chain. We inspect the effect of a suggested method using simple supply chain model and evaluate supply chain that we introduced a production seat booking system having platform structure built-in more into as an example.

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In recent years, production systems based on cooperation of inexpensive general-purpose industrial robots have been studied. This paper examines the application of the matrix approach (Matsui's equation) to cooperation requirement planning (CRP) in industrial robots.
As a result, the matrix approach based on Matsui's equation is shown in the matrix expression of CRP by Nof et al. This method managed the cell production system of multiple industrial robots, and had less ambiguity to describe in words than previous research.

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The aim of this study is to investigate the cutting phenomenon under ultrasonic vibration-assisted cutting condition. The vibrating cutting edge is considered to be cause of dynamic change of cutting force at ultrasonic frequency. However many researchers have explained the effect of ultrasonic vibration-assisted cutting by evaluating the time-averaged cutting force, because it is difficult to measure the dynamic cutting force by using dynamometers. In this study, the instantaneous stress distribution on workpiece was visualized by photoelastic method in combination of pulse laser emission synchronized with vibration of cutting edge. Orthogonal cutting test was carried out at low cutting speed relative to vibration speed of insert. A constructed photographic system divided the ultrasonic vibration period of 36.2 μs into 360 points and took one photograph frame at each point. By counting the number of criteria pixels which images the cutting stress, the intermittent cutting condition was evaluated. It was experimentally confirmed that the stress distribution under vibration-assisted condition showed the periodical change synchronized with insert vibration. The intermittent cutting condition was affected not only feed rate but also depth of cut. The theory of relative motion between blade and work is insufficient to explain these results. Therefore remnants formed due to elastic deformation of the workpiece were examined. The vibration cutting dramatically reduced the elastic deformation and the vibration amplitude had effect on the amount of remnant thickness.

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Tribological properties such as lubrication, friction and wear resistance are important for mechanical engineering to improve machine operating efficiency, machine performances and machine life. To improve the tribological properties, surface texturing methods are available such as scraping. Scraping fabricates many small depression on target surface evenly, the depression will act oil hole to promote lubrication performance. Many researchers have reported the surface texturing method to employ fast tool servo, turn mill processing and digital data based texture machining. This paper reports a surface texturing method by ultrasonic vibration turning to improve tribological properties. In ultrasonic turning, cutting tool is vibrated in principal direction and radial direction simultaneously. The radial direction tool vibration acts to dig up or to push workpiece surface in radial direction periodically, textured surface will be obtained. In order to evaluate the tribological performance of the turned surface, friction coefficient between stainless steel pin and turned surface were measured under oil dipping condition. It was confirmed that friction coefficient of ultrasonic turned surface is reduced compared with ordinary turned surface. Another effects of ultrasonic turning that hardness and wear resistance property of turned surface improvement were observed in this research.

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The safer the machine is, the better in general. However, in developing countries, it is also important to be easy to repair, and from what point of view should be considered to find the harmonious point. This is an indispensable viewpoint as a foundation where all countries can use safe and highly brainwashed machines.

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The “United Nations Associations Test of English (UNATE) ” is a standardized test of English and facts about the United Nations administered by the United Nations Association of Japan in Japan. The test has been gaining popularity in Japan in recent years. The test has six grades: the Special A A, B, C, D and E. In this study, English sentences in the test were investigated to educe the metrical linguistic characteristics. In short, frequency characteristics of character- and word-appearance were examined.

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New products and services are emerging by combining existing technologies such as small un-manned aerial vehicles (drones).However, these new products may help you understand the potential risks.Using drone as an example, consider risk management necessary for new technologies.

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This e-portfolio system was developed to support self-monitoring and stress management in rea-sonable accommodation. One of the features of this system is that heart rate information is used as an objective judgment material of stress for participation in the activity of ICF environmental factors, which is a subjective judgment material of the situation. In order to obtain this heart rate information, we used an optical wearable terminal that is less accurate than the electrode type in consideration of non-invasiveness to various needs in daily life. Furthermore, Onomatopoeia based on ICF was used for subjective data entry. Onomatopoeia can eas-ily express internal emotions and internal senses and is widely used in the classification of emotional expres-sions. This onomatopoeia icon input makes it easy to accumulate subjective judgmental materials regarding stress factors, and supports continuous self-monitoring and coping for users.

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“Tonarigumi”, “Chounaikai”, and “City Association” organizations have worked as a mechanism for distributing services to local residents. Recently, the external environment is changing. In addition, there are areas where these organizations have disappeared due to old town planning. In many cases, the community “shopping association (shopping district)” has taken their place of them, however when the store is succeeded, they entrust an external developer, and the town planning can be conducted without considering the lives of the local residents. Quantiative research is conducted. From a sustainability viewpoint, we will consider the current situation and propose solutions.

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Focusing on the shopping area as a community zone for regional revitalization, by introducing the Togoshi Ginza shopping area, its hustle and bustle by sending out event and other events from the area where merchandise is sold. In order to develop the shopping showing area into a tourist spot in future, we need to propose the analysis of necessary efforts and inbound maintenances, and suggestions.

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As the shortage of human resources in Gotanda Valley is an issue, and in order to improve the recruitment status in Gotanda Valley, IT engineers will be matched with companies by introducing the Gotanda Valley human resource sharing business model. At the same time, the needs of recruitment at Gotanda Valley companies will be clarified and specific proposals will be presented.

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In this paper, we are introducing business model for revitalizing local businesses, by improving the mobility of elderly people in the housing complex at Yashio Park Town in Shinagawa ward. It is important to state that the population elderly in this public housing is obviously a serious issue within Tokyo city. In future, we will also be proposing a platform that would cater for the daily life support of the community, as well as providing travel services, such as ride sharing, community buses and many others. Other demanding proposals are not limited to life support services, shopping and pick-up services.

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There are novel structures of society such as Industry 4.0 and Connected Industries. Under these structures, a novel safety management system considering man-machine interaction is very important topic. It seems that direct and quantitative validity of risk assessment and risk reduction measure such as reinforcement of safety behavior and/or reduction of unsafe behavior is now not sufficiently accomplished. Some quantitative assessment for residual risks focusing on worker's behavior is necessary. We introduce a principle of Behavior-Based Safety (BBS) which might be applicable to reduce residual risk for safety of workers. BBS, focused on behavioral modification using principle of reinforcement, is one group of Behavior Analysis of Psychology. Goals of BBS is prediction, control and quantitative measurement of target behavior. Here, we introduce BBS.

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We proposed Safeguarding Supportive System (SSS), which has been newly established in our laboratory for risk reduction measures for contact disaster etc. at Integrated Manufacturing System (IMS) in Japan. The SSS system was applied to a tunnel construction site. We examined effectiveness of the SSS in the tunnel construc-tion site. The SSS is a novel safety management system containing a combination of the ICT equipment focused on residual risk after 3-step method, which is the risk re-duction method standardized by Safety of machinery-General principles for design-Risk assessment and risk reduction of International Scandalization Organization (ISO) 12100. ISO12100 In the present experiment, we used a location detection system with a 3D laser radar to the SSS and examined the ability of the system at a tunnel construc-tion site. The results of the present study indicated that location of tunnel construction workers and construction machines was able to be measured by the behavior monitor-ing system used in the present study. However, the measurement was analyzed with recorded data. It is necessary to develop some kind of real-time measurement system in the further research.

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As a method to analyze the safety of software systems, “STAMP” is drawing attention. This is an accident model focusing on the interaction of modules and control, and enables more rational assessment than that obtained by FTA or FMEA, which are conventionally used programs for software safety assessment, etc. Safety and reliability assessment of a whole railway system is required to satisfy RAMS standard (IEC62278), where quantitative analysis is needed for assessment of safety. In this paper, we will take examples of conventional safety analysis for railway signaling, organize the characteristics of these analysis methods and describe the procedures to effectively take advantage of each analysis method for assessing the safety of a railway system.

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Recently, safety-critical systems driven by AI technologies are expected to penetrate into society, there is a really call for methodologies of safety arguments or agreements. In this presentation, we introduce GSN/D-Case with its background and basic ideas and show some case studies.

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This paper proposes the new methodology to verify safety of black-box type of artificial intelligence (AI) such as deep neural network (DNN). In the proposed methodology, the following two key technologies are used:
 FRAM (Functional Resonance Analysis Method)
 SpecTRM (Specification Tools and Requirement Methodology)
FRAM will be used to visualize the hidden internal logic inside the DNN which is supposed to be acquired during the machine learning (ML) process.
SpecTRM will be used to analyze the ML test result and tune-up/validate the FRAM model to show completeness of the ML and consisitency of the learned DNN model.
By this study, the following findings were acquired:
1) The hidden internal logic of DNN system can be effectively visualized by FRAM by its rich modeling capability to define timing, preconditions and postconditions.
2) Formal method technology (SpecTRM) can be used to check consistency of the FRAM model and validate that the learned AI logic is understandable by human.
3) Formal method technology (SpecTRM) can be used to check completness of the ML by confiming full-path testing is completed and by identiying all missing test casees.
4) The proposed methodology can be utilized not only by black-box type of AI, but also applicable to white-box type of AI such as random forest systems.

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The Third AI boom is still continuing, however, methodologies to apply AI to sociotechnical systems have not been matured yet, because the term AI is misleading from the system development points of view for distributed social open environments. This presentation focuses on the concept of agent-modeling, as a cutting-edge technology of population or group intelligence, as a part of Artificial Intelligence.

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This study proposes a simulation model of rubella. The model enables to represent the behaviour of each person on the computer. It also reveals the spread of infection by simulation of the contact process among people in the model. The study designs a model based on smallpox and Ebola fever model in which several health policies are decided such as vaccination, the gender-specific workplace and so on. The infectious simulation of rubella, which has not yet vaccinated completely for men in Japan, is implemented in the model.

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In this study, user behavior was estimated from intention information. Differences in information devices affect user behavior. Intention information and information device classification are important for esti-mating user behavior. Since social infrastructure is aging, efficient management methods are needed. If the esti-mated behavior can be reproduced, it will lead to efficient management of social infrastructure.

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News has great impacts on asset prices in the financial markets. Many attempts have been reported to ascertain how news influences stock prices. However, the limitations in the number of available data sets usually become the hurdle for the model accuracy. In this study, Reuter's news texts were classified based on each return through LSTM models. As a result of the analysis, we found the prediction accuracy could be improved by using texts generated by GPT-2. Further examination of the classification model will be planned.

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In order for Japan to further contribute to the world economy as an economic nation, manufacturing ( monozukuri) and value creation ( kotozukuri) with full use of data should be progressed by exerting sense of value and on-site ability on the basis of ESG. At the same time, risks that will occur beyond the field while doing the above activity should be prevented. The system about the above will be discussed.

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The author shows the trans-disciplinary knowledge of applying statistical methods related to pre-vention of failure mode occurrence and detection of its signs and also illustrates the significance of appropriately modeling phenomena in statistical management or control methods.

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Climate change grasp contributes to a target of much SDGs for technology of a remote sensing. The results which are the respective study results and actual use by this publication, and, the match to which I con-tribute and a case are introduced to SDGs.

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This study aims to investigate the distribution pattern and ecology of the foraminifera in the Majuro atoll, Marshall Islands. We conducted a field investigation in September 2018 using an unmanned aerial vehicle (UAV), since UAVs are suitable for high-resolution photography. But several problems were found in high resolution image processing of a water area. Therefore, in this study, the past data processing method was checked and improvement method was proposed.

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The quarry site at the Miyagase Dam is a slope of 4.8 ha in a harsh environment with a steeply inclined bedrock base for the growth of plants. In 1995, 70,000 seedlings of broad-leaved medium-and-high trees considering biodiversity were planted using the pot seeding planting method. To verify the effect of this vegetation, we conducted follow-up field surveys on the growth of trees in 2001 and 2007, and confirmed that the ecological transition of trees as a whole is progressing smoothly. In July 2018, 23 years after planting, we attempted an aerial survey of the entire slope using a UAV (unmanned aerial vehicle). The result of this survey confirmed that the slope planting approached the climax vegetation in the ecological transition. Although slope planting with trees is expensive, there are carbon dioxide fixation effect, biodiversity conservation effect, etc. that are not found in planting herbs.

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The Women in Data Science (WiDS) initiative aims to inspire and educate data scientists worldwide, regardless of gender, and to support women in the eld. WiDS is administrated by ICME, Stanford University, USA, Japan Yokohama City University held its rst event on 22nd March 2019 with the cooperation of universities, industry players and public sector participants. We would like to introduce about the aim of WiDS and talk about the future of data science and SDGs.

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NUT decided to incorporate SDGs into its education program. This is why NUT proposes UNESCO to establish GIGAKU SDG Institute. NUT will disseminates the concept and good practices to its international partners. NUT was appointed to a United Nations Academic Impact (UNAI) Hub for SDG 9 (Industry, Innovation and Infrastructure) by the United Nations on October 2018. Only one university in the whole world is appointed as Hub for each of the 17 goals of SDG, and NUT is the only appointment from East Asia. We have been actively working on the SDGs from early stage toward the realization of a sustainable world, and has been highly regarded by the UN as an exemplar of an innovative approach to SDGs.

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The activity of a variety of human resources including woman is indispensable for sustained growth of the Japanese economy. Furthermore, the times of Society 5.0 begin, and it becomes the times when activity of the women of the field of science and technology can contribute to sustained growth more and more. In this study, we model the relationship among the educational process, the career formation, a working life, human relations, family life and a carrier success, well-being of women in the field of science and technology. Furthermore, we compare the models of between women graduating from the department of the university and woman graduating from the graduate school.

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The gender gap in the STEM fields is a global phenomenon and a social problem that should not be overlooked. One of the factors is the existence of sexism in the educational setting of the STEM fields. In particular, the impact of Ambivalent Sexism has become clearer through a few insightful studies within the U.S. context. This article aims to introduce those key researches and discuss possible implications and suggestions for the educational setting in Japan.

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Although it has been a long time since women's interest in the science field has been increasing, the reality is that there is a big bias in the ratio of Japanese students who choose a career in science. Therefore, we analyze the characteristics of interviews with women who have actually entered the science field and found employment to examine important factors in science education for female students.

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To enhance female STEM education, we developed an overseas fieldwork in 2018. The developed fieldwork at the Salton Sea in California was conducted in March 2019. In this presentation, design policy and contents are introduced.

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In 2020, 40 million inbound tourists are targeted to visit Japan. Unlike global hotels that offer stand-ardized hospitality, ryokan has provided “omotenashi ” to Japanese customers. Among them, there are some ryo-kans and hotels that are making various efforts to satisfy foreigners. This research analyzes the omotenashi and services of such ryokans and hotels from a service science perspective by comprehensively reviewing them.

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This research is focused on the random type item providing system called “Gacha ” in the social game of the smartphone application. Gacha includes gambling elements and has caused many problems like too much charge, not available rare items and so on. In order to protect users from these problems, Gacha in online games has become mandatory in 2016 to disclose information such as provision probability. Based on question-naires, this study analyzed whether this disclosed information is expected to have the effect of suppressing ex-cessive charging.

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In this paper, we introduce the case of IT solution service for the purpose of business transformation carried out in a building management company. In general, after reviewing the business process and improving the efficiency of the business by IT systems, create time to think and work on the business reform, and then the change of employees’ consciousness is born. However, in this case, the employees performed business transformations by themselves, before the start of IT systems operation. This is a sign of corporate culture change. This time, we will consider the factors that caused this change of employees’ consciousness from the service perspective.

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New ICT such as IoT, AI, Smartphone and 5G is expected to revolve value creation and create new business innovation. This research introduces the concept of the 3rd generation service innovation using such new ICT. In the 3rd generation service innovation, value creation through optimizing total system is important issue, which brings business innovation.

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There is a strong need for explanation model development and selection (especially, partial differ-ential equation : PDE) using big data from interesting phenomena. In the inductive PDE derivation from big data, at present, the PDE computation results have been regarded as big data in order to establish a methodolo-gy. Assuming that a PDE is a linear regression model composed of partial differential terms, the coefficients are estimated by regression analysis, and the difference (error) between the true and the estimated coefficients is minimized. In the conventional method, since the partial differential term is calculated by differential ap-proximation, it is difficult to analyze the cause of the error.
To solve the problem, we take PDEs with exact solutions and compute the partial differential term by differen-tiating the solution analytically. Considering that PDE does not depend on initial conditions, we hypothesized that the error is caused by insufficient comprehensiveness of the initial conditions. For the exact solution of the advection-diffusion equation with system noise superimposed, we calculated the error relative to the true value of the coefficient. The exact solution was calculated by changing the initial conditions at random, and we con-firmed that a negative correlation between the number of initial conditions and the error.

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While various approaches such as stochastic process models, equilibrium models, and system dynamics have been applied to social simulation, constitutive models, which can deal with huge and complex systems, are prevailing in the last decade. In this presentation, we would like to discuss the possibility of social simulation for resolving problems that modern society is now facing exemplifying issues of an urban critical infrastructure or a product recall system.

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