This study deals with design method of smart products based on IoT and DX. In the resent economic situation, we know the valuable performance of the smart products is affected by valuable services supplying consumers when the smart products are used. In this study, we propose the method to generate highly novel service and to design the service and a product to supplying the service. The proposed method is composed of two types of process: the process of generation and development of new service business and the process of design of smart products productively supplying the services. In the method, Customer Journey map is performed to evaluate the persona’s activity, and multiple types of services are generated by using data included in the map and functional deployment process. In addition, we develop the system for generation of new novelty services by language analysis of sentences related to the past designs collected in the data base. In order to evaluate the effectiveness of the proposed method, we applied the method is examined in the educational program for undergrade students in our university. In this paper, we explain the characteristics of the proposed method and the results obtained from the educational program.

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This study aims at design learning BOMs, introduction of AI chatbots and design learning log analysis method, for Q & A and learning progress management.

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Aoyama Gakuin University has been developing a human resources development program that enables future strategic design. In the online PBL in 2020, some students could not actively solve the problem due to the difficulty and complexity. This study considers online PBL students as target customers and validates the effectiveness of AI chatbots.

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We need the “Future Strategic Design Producers” who plan and manage a CSV strategy with the goal of the future. Regarding the future, the goal of SDGs has been set by society, and there are movements toward social innovation such as Society 5.0 and Industry 4.0. The purpose of this study is to investigate new educational methods that contribute to develop the “Future Strategic Design Producer.”

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This study explain about the framework of Platform curriculum. This time tried to conduct to the university class. As a result, we made the discussion for the future study.

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Companies must create businesses with sustainable customer value considering possible future social issues. However, it is not easy creating new business concepts based only on future vision or predictions. This research proposes a framework for the creation of new business concepts by utilizing backcasting method- ology. The backcasting methodology proposed by this study contributes to the creation of business concepts by connecting new awareness about social issues and businesses toward every day.

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We develop two technical issues necessary for the sustainable social implementation of economic index services using alternative data based on artificial intelligence technology: (A) technology for integrated analysis of multilayered economic data, and (B) service provision infrastructure technology for economic analysis using artificial intelligence technology.

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Novel coronavirus infections have caused tremendous human, social, and economic damage. Although it is necessary to restore social and economic activities while protecting human lives, cross-sectoral risk assessment has not been sufficiently conducted. In this study, we believe that if we can evaluate the effects of countermeasures through data-based simulations, we can convince people. We aim to develop (1) a modeling system to support administrative decision-making and (2) an incentive system for citizens using next-generation mobile terminal applications.

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The aim of this research project is to realize multiscale Agent-Based Social Simulation (ABSS) methodology, named D³, which covers from micro individual behavior to macro economical activity for the evidence/model-based social policy makings. As the first step we focus on COVID-19 problem, and try to clarify the well-balanced social policy between infectious disease control measures and stimulative counterplan into the economy. We will extend our research target from COVID-19 to general comprehensive social problems, and try to clarify the effectiveness of D³ (Digital Democratizing Designer for social decision making) as social policy making methodology towards the realization of Society 5.0.

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One-leaf Hyperboloid is the main subject of nature vs. artifacts bodies, and is a fractal(nested) mother of pair-map and its Nash’s zone, by a white-box approach to individual bodies. Then, the traditional pairmap is here systematically tried and semi-finalized toward the generalization of Matsui’s EQ&ME type, and also, the Nash’s zone is graphically illustrated at 3D-type. Finally, the shared equilibrium problem of 3D-type is discussed on the Trickle-down system vs. Modern money theory (up) at Mt. Fuji type in the economic society.

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Supply chain (SC) entities, such as retailers, wholesalers, manufacturers, supplier and others, store　and/or produce information on demand, capacity, inventory, and so on. Supply chain management (SCM) can be performed by using such information. Namely, it is critical for successful supply chain management to build an adequate information network among entities to acquire necessary information. However, there has been almost no quantitative method to evaluate the adequacy of the information network in a supply chain. Therefore, we develop a method that quantitatively evaluates the adequacy of an information network for managing a supply chain. The method divides the information network into several sub-networks based on the type of information. Each sub-network is evaluated by the sub-network evaluation index, which is calculated as the sum of the absolute　differences between the rank of importance of each entity in the sub-network and the rank of its own information　referred to by other entities in a sub-network divided by the maximum sum of the ranking difference value for　the number of entities in the supply chain. Then the information network is evaluated comprehensively as the　evaluation index SCV, which is calculated as the sum of the weighted value of each sub-network evaluation　index. The effectiveness of the proposed evaluation method is examined in the case of SCM of the production　company which applied a production seat system.

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In recent years, many movies have been released and diversified in the movie industry. It is important for the movie industry. Therefore, this study, compares DVD jackets with word-of-mouth, and analyzes the relationship between them. In this paper, we show which types of colors and designs are effective for the audience.

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People have both expectations and fears about current AI, which has begun to be integrated into our society through products and services. However, Generation Z, who has been around digital device such as smart phones since they were born and have a new sense of values, will play a leading role in the future society in which AI and people collaborate. Therefore, it is necessary to understand the expectations and fears about AI from their own words.
In this study, we conduct a questionnaire survey on current AI for Generation Z and text mining to extract information from a large amount of text data, and discusses the research and challenges involved.

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The spread of the new coronavirus has accelerated the development of the everyday online world. In the post-corona society, where cyber space and physical space are mutually nested, we will look at the construction of a new social ethics from the perspective of computational social science, a new field whose mission is to capture the reality and contribute to its sound development.

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We introduce the study on the evolution of cooperation that we have been working on so far, and we discuss what kind of insights which can provide to the post-corona society. A purpose of the evolution of cooperation is to answer the question of why people cooperate. In both with-corona and post-corona societies, the theme of how to promote people's cooperative behavior has been continuing to be highlighted as a socially quite important issue. This paper introduces the construction of behavioral models during the infectious disease epidemic, infection prediction and social policy designing using agent-based simulation, and the formulation of a realistic structure of information distribution with a network structure. We hope that the theory and experiments will approach the prevention of infection and the solution of problems in the post-corona society by clarifying the features of effective incentives and institutions.

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A pandemic of a VOCID-19 emerged with uncertain information about an unknown virus, making it difficult to determine what information was correct, especially in the early stages of the pandemic, and various problems arose. As the term “infodemics” was used, confusion caused by information became a social problem as much as confusion caused by viruses. In particular, social media has been the focus of much attention, and the uncontrolled spread of information by social media has become a social problem. In this presentation, we clarify the actual situation of information diffusion, including fake news, and show that social media has contributed to the diffusion of correct information to a certain extent.

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We often hear about “the polarization of American politics.” However, what does it mean to state that American politics is polarized? In this paper, the author examines (1) the definition of polarization, (2) research methods of polarization, and (3) ways to overcome polarization.

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The United Nations Security Council is one of the primary organs of the United Nations, which is primarily responsible for the maintenance of international peace. It is also a significant battleground for great-power politics where the permanent members of the Council (the United States, Britain, France, Russia, and China) constantly engage in mutual confrontation and cooperation. This study analyzes the official meeting records of the Council using large-scale text analysis methodologies such as word embedding. Focusing on one of the most consequential notions for the Council deliberations, ”threat to the peace,” the study quantitatively represents the members’ conceptions concerning this notion, and rigorously measures the discrepancies among these conceptions. The study thus clarifies how the polarization among the major powers has unfolded over the past decades.

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We define the residential areas of new and old residents based on the age of the properties, and visualize and model the spatial interaction between new and old residents in the town during the daytime using location data collected through a smartphone application. By measuring the daytime human mobility flow and diversity of the population in each area using entropy, we can visualize the spatial segmentation between old and new residents. We propose a human mobility model based on the statistics of the outing rate, the time spent in each place, and the network of human flows connecting the origin and destination places of the movement. We also propose a recommendation system for places and facilities, which gently improves the segregation in the human flow network. These will provide scientific support for local policies in creating communities where new and old residents cooperate with each other.

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The decline of local communities due to the declining birthrate and aging population has entered a new stage with the coronary disaster. In other words, the need to refrain from interpersonal contact and going out to prevent infection has deepened the social isolation and loneliness of people in crisis, and has led to an increase in suicides. How can the community contribute to social well-being in a post-coronary society? The concept of “community capital” presented in this paper will answer this question.

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This paper attempts to show the direction of social implementation experiments based on new social ethics regarding the balance between economy and environment. Environmental ethics has been around for a long time in Japan, which is different from the West. As an example, I would like to take up the Toy Village concept of Hinohara Village, which is the only village except for the islands of Tokyo.

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The concept of cyber-physical systems is becoming more and more important for the realization of super-smart society (Society5.0). In this presentation, we consider cyber-physical systems (CPS) from the viewpoint of systems control, discuss design methods for CPS. In particular, we discuss the importance of local communities in the design of CPS for super-smart society.

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Amid economic losses such as a decrease in the number of tourists suffering from corona, there is concern that the local health care system will fall into a critical situation between promoting tourism demand that supports the local economy and the prevention of the spread of infection. In the post-corona society, we discuss the role of the social system model in dealing with social risks such as regional economic decline, infection prevention, declining birthrate and ageing population.

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We have conducted a mixed qualitative/quantitative approach studies on the impact of community characteristics on the physical and mental health of residents. Here, we report mainly on two studies. One is an analysis of the relationship between regional and gender differences in the increase in suicide rates after Corona and industrial structure. The other is the results of a cohort study on the mental health of children after Corona. In addition, as a suggestion for countermeasures, we report on our research on the function of “alleys” to promote interaction in communities.

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Natural disasters can be classified into disasters which may occur regardless of location and disasters which occur in specific disaster prone areas. In Japan, disaster prevention measures for disasters which may occur regardless of location have been successful by posing strict seismic-resistant structures and fire-proof structures to newly built structures. On the other-hand, though one of the fundamental disaster prevention measures for disasters which occur in specific disaster prone areas is the restriction of building structures in such disaster prone areas, this measure has not been discussed seriously. In our presentation, we discuss the fundamental disaster prevention measures for disasters which occur in specific disaster prone areas.

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To prepare for an anticipated disaster related to heavy rainfall or a typhoon, the population is expected to understand relevant information, make flexible and timely decisions based on it, and convert them into appropriate actions for evacuation, which involves a high degree of thought, analysis, and judgment. In this study, these abilities are referred to as disaster coping skills, and the self-evaluation of such skills and its components were analyzed in the data obtained from a questionnaire survey conducted on the inhabitants of areas affected by the heavy rain disaster that took place in July 2018.

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The authors are working on a web GIS-based system, which provides location-based estimates of the realistic flood damage estimates for residents in the western part of Japan. Our system provides detailed location- based flood damages of households, based on the depth caused by the maximum flood. It also provides the expected statistical damage summaries for each municipal area.

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In this research, as a method for creating backcasting scenarios in cascading disaster research, cascading disaster networks were created by extracting disaster causal relationships using natural language processing from Japanese newspaper articles about the Great Hanshin-Awaji Earthquake and the Great East Japan Earthquake, which are representative examples of cascading disasters.

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The aging rate reached a record high of 28.8% in 2020. With the promotion of home medical care and changes in family structure, the number of male caregivers is increasing. In this study, we use anonymous data from the Basic Survey on Social Life, we examine social isolation factors based on the lifestyle behaviors of single male caregivers. We selected 17 of the 20 items that correspond to types of behavior in the Basic Survey on Social Life and age as variables. As a result of clustering of lifestyle behavior patterns using the latent class model, 18 classes of characteristic types were extracted.

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The percentage of suicides in Japan caused by “nursing care tiredness” is on the rise every year. In Japan, where the population is aging, this rate is expected to increase further. In this study, we visualized the various problems faced by caregivers through the analysis of information on caregivers' time spent in daily activities using anonymous data from the Survey on Time Use and Leisure Activities.

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The Statistical Data Utilization Center was established by the Statistics Bureau of Japan and the National Statistics Center in April 1, 2018, as an organization which promotes leading-edge data utilization.
This session would cover a role of the Statistical Data Utilization Center, as well as advanced initiatives of EBPM (Evidence based Policy Making) held by local governments which achieved “6th round of Prize for statistical data utilization of local governments”.

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RESAS is a site that visualizes public-private big data created by the government with the aim of encouraging evidence-based policy making. V-RESAS is a private site for the purpose of utilizing data for understanding the impact of the new coronavirus infection on the local economy and examining regional measures. This paper introduces these efforts and their utilization, and touches on the importance and challenges of creating a data infrastructure, including the efforts necessary to handle various data.

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The need for pseudo microdata for education and training has been pointed out to promote the use of official statistical microdata. Currently provided pseudo microdata has a problem in that it does not retain the structure well such as the correlation between variables of the original data. In this paper, I analyzed and examined the method of creating pseudo microdata based on synthetic data method that retains the structure of the original microdata as much as possible while satisfying the current legal and institutional restrictions. As a result, by disclosing the results of intermediate aggregation and regression analysis, it was shown that there is a possibility that the retained pseudo microdata can be created and provided.

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The COVID-19 pandemic has brought difficulties to our daily lives and caused various changes in socio-economic activities and environments. Facing this situation, Japan Aerospace Exploration Agency (JAXA) thought about how JAXA can contribute to this changing society. JAXA has cooperated with the National Aeronautics and Space Administration (NASA) and the European Space Agency (ESA) in developing the Earth Observing Dashboard to provide analyzed information, which show environment and economic activities impact related to COVID-19 pandemic from available earth observation satellites data from three agencies including GOSAT, GOSAT-2, ALOS-2 and GCOM-C. This paper introduces an overview and preliminary results of trilateral cooperation.

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Recently, the movement to use satellite images for social science analysis has been accelerating. In this paper, we introduce some examples of studies that utilize satellite images in quantitative analyses in economic and social contexts. We focus on several topics such as the social and economic impact of COVID-19 and the relationship between land use and well-being. We further discuss the potential of utilizing satellite images in social sciences.

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The purpose of this study is to evaluate the usefulness of earth observation satellite data from the viewpoint of public health regarding the factors that influence the outbreak and spread of the new coronavirus infection (COVID-19). The satellite data used for the evaluation will be earth observation satellite data loaned from JAXA. The main theme is analysis of the relationship between observation data such as night light (VIIRS) and solar radiation (SGLI) by earth observation satellites and the outbreak situation of the new coronavirus epidemic.

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In the post-corona age, the lifestyle of the address hopper is becoming more popular In this paper, based on the author's experience, we will introduce the method and results of our experiment to search for a seasonally comfortable place to migrate by combining multiple earth observation data and AMeDAS data

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International regulations related to automated driving on public road was established in June 2020, and automated driving vehicles are now commercially available in Japan. In this presentation, I will introduce the domestic efforts to commercialize automated driving through public-private partnerships, overview overseas trends in safety evaluation of automated driving systems, and introduce the efforts to develop safety evaluation methods.

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Nowadays, as same as self-driving automobiles, R&D aiming at realizing commercial Maritime Autonomous Surface Ships (MASS) is underway worldwide. In this presentation, after giving an overview of MASSs, I will show domestic and world R & D trends of MASS, and elemental technologies that are used for safe MASSs. Next, I will introduce the current status and issues of research and development and safety evaluation of MASS in Japan, as well as countermeasures and future initiatives.

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This paper reports on the current status and issues of safety management in industrial drones. Industrial drone applications and their social institutions are briefly introduced. The risks of drones are shown through typical examples of safety verification test, and the safety requirements for industrial drones are analyzed. Case studies such as usage of protective equipment for safety management are presented, and the effectiveness of protective equipment and expectations for further development are discussed.

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Trust and relief for prevention originate from reliability that leads to purpose setting-decision making-action. Also they have deep relations with the social system(security system etc.)such as PCR test and medical care system to be seen in Covid-19, the support system and the behavior pattern. Moreover, we have common understanding that the life and the action in the era of corona coexistence have been greatly influenced by philosophy and ethic including the value and meaning of the human being existence. This fact is similar to the case when we assure trust and relief to our users in the age of the Fourth Industrial Revolution including IOT, Robot, automatic driving car and AI. This presentation proposes ①the structure of trust and relief, ②seven view-points of culture for safety,③seven view- points of rule for safety, based on previous researches, all of which are evaluated as “Meta prevention for trust and relief”. In addition, the East-West philosophical and ethical thought behind the above proposed models is shown to be effective for meta prevention through the illustration and the description such as Covid-19 seesaw model.

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From the experience of COVID-19, there is an urgent need to develop a digital system for many small stores to maintain their operations safely in case the same situation occurs again in the future. Specifically, it uses mobile to manage customer staying time using automatic recognition technology that does not depend on private information, and is linked with monitoring congestion status etc., which is useful for managing store safety in both White Mode and Black Mode. If the lattes case happens, we propose a system that will be able to take immediate action.

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Taguchi Methods, so called Quality Engineering are the methods for building quality in products and for maintaining quality of products or production lines that were developed by late Dr. Genichi Taguchi. The authors will introduce the outline of Taguchi Methods and their methods for Kototsukuri-Shihou.

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The Just-In-Time (JIT) production system is a production system that supports production of many models in small quantities as opposed to a planned mass production system. This system, which has been developed for many years mainly by Toyota Motor Corporation, has two pillars: Just-In-Time and autonomation, and is made from a flow in which a later process takes what is needed from an earlier process, starting from product demand, in terms of inventory and intra-process logistics. These have been studied and applied worldwide, and are affecting industries in the United States and other countries, through methods such as Lean production system and Six Sigma (6σ). Japan Association for Management Systems recommends the JIT production system for Kototsukuri-Collection.

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Achieving goals toward the reduction of greenhouse gas emissions requires developing carbon-neutral ships and fishing vessels, loading new technology on operation method improvement by automatic driving device and meteorological information. In this study, we have made a system dynamics model divided into two sub-model, design and inspection, production of the experimental ship. Our results demonstrate that the process management of the experiment is important to complete the production on the scheduled completion date.

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Recently, we have been developing a system that automatically acquires tactics and strategies of the table tennis match from broadcast video. In this system, the input and output data are constructed by automatically extracting the ball position and the player position from the broadcast video. During the match, an algorithm removes noise and estimates the ball and player position. In this paper, we introduce the motion tracking system. In the motion tracking system, the ball trajectory and player position are automatically extracted from the 30fps broadcast video and converted into two-dimensional coordinates. The ball trajectory is estimated by preprocessing with the white blog extraction process and RGB extraction process, and then the player’s skeleton position is estimated by CenterNet of deep learning (DNN). The position of the ball hidden at the body is estimated using the Kalman filter and the bicubic interpolation method. Finally, we discuss the future image of this system which acquires the table tennis strategy and makes the strategy visible to directors and coaches using the if-then rule by fuzzy ensemble learning.

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The education method of career planning is one of the important issues of personnel training in university. This paper presents a matrix planning method for career formation. The influence on the student career formation is analyzed considering the effect of corona infection expansion by using the method.

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Topology optimization is the most flexible structural optimization method that allows the topological changes such as increase and decrease of the number of holes in addition to the change of boundary shapes, and can implement new functions as well as significantly improving the structural performance. In this paper, we introduce a structural design of metamaterials that have the negative bulk modulus, and hyperbolic and parabolic dispersion relations based on topology optimization.

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With the declining birthrate, aging population, and diversification of work styles, robot technology that covers the physical abilities of the elderly and women is required. An actuator using an origami structure developed in recent years has been applied as a high-efficiency artificial muscle suitable for ultralight flexible robots with high human affinity. We fabricated a robot with 4 degrees of freedom using an actuator that expands and contracts the origami structure of non-inverting spiral fold by pneumatic pressure, and confirmed that basically the desired operation can be obtained.

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