Vulnerable individuals, especially those with disabilities, often face difficulties caused by social, economic, and physical barriers. This paper examines how information and communication technologies (ICTs) and data science perspectives can address these challenges, with a specific focus on promoting inclusion and equity. The paper explores the potential of ICTs to foster inclusion across different settings, starting with education and extending to employment and beyond. In terms of equity, efficiency, and equality, the paper identifies communication barriers such as auditory, visual, and communication difficulties, as well as memory, concentration, learning difficulties, and upper extremity movement limitations. To overcome these barriers, the paper proposes the utilization of tools that leverage ICTs, the Internet of Things, artificial intelligence, and data science. Moreover, the paper highlights the use of tools to increase awareness, provide training, improve access, and evaluate barriers. Overcoming the systemic ignorance at the center of exclusionary experiences is recognized as a crucial step toward achieving inclusive and equitable environments. The paper examines how these ideas can impact individuals with such limited perspectives and suggests strategies for involving them in the transformative process. This paper will eventually lead to a discussion about building more inclusive and equitable environments by creating useful tools for all people.

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The convergence of data science, ICT and the other technologies of the Fourth/Fifth Industrial Revolution is transforming our world at a level and pace never seen before. It is changing our lives - the ways we learn and work, the ways we communicate and interact, the ways we live. As with all technological change, their impact on our societies will be shaped by our policy choices and how we use and manage the technologies. In this talk, I will discuss some policy questions on ICT and e-governance, ethics, privacy, and inclusivity, towards ensuring that new technologies will improve, and not threaten, people's well-being.

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Background: In Japan, it is extremely difficult to acquire the minimum required knowledge of infectious diseases in such a situation. This study examines the effects of this curriculum on student knowledge. Methods: Beginning in the middle of the first year of nursing school, this curriculum allows students who have not studied infectious diseases until high school to easily acquire this knowledge based on Gagne's Nine Events of Instruction. Results: A comparison of student performance on the mid-term exam, in which lessons were conducted based on Gagne's Nine Events of Instruction, and the final exam, in which lessons were not conducted based on these event results suggested that while the lectures were not exactly the same, the curriculum enabled students without basic academic knowledge about infectious diseases to effectively acquire this knowledge. Conclusion: Following such a curriculum may enable nurses to pursue education in other complicated subject areas, such as genetics.

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In this study, it was found that morals in classroom classes are an extremely important issue, but confusion in the interpretation of rules and morals has been observed, and the two remain ambiguous. Next, regarding morals in distance learning, it seems that the aspect that has been operated based on the theory of sexual goodness is strong, and the aspect that has been operated as a known common concept is working strongly. However, in online classes, problems that were not seen in classroom classes are emerging. Rather than overestimating the awareness and implementation of moral concepts by teachers, staff, children and students, the law system protects the human rights of victims as a solid one, so that participants in schools can have fun and meaningful time. Isn't it time to review the room for intervention in the system and the law in remote classes?

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This study was conducted to deepen understanding of female college students' awareness of rubrics for assignments in a programming class. We conducted a questionnaire survey during the 2018-2022 academic years of female college students using rubrics for a programming class in a rural region in Japan. Responses were received from 79 respondents. Many students used rubrics when creating their assignments and when confirming an assignment’s grading criteria. These findings indicate that teachers might need to provide students with assignments using rubrics.

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Programming novices, especially those who are just beginning to learn one or more programming languages, have difficulty guessing exactly what a compile error message indicates during the learning process. Among other things, it is difficult to notice errors when accidentally mixing different programming languages or using double-byte parentheses or double-byte spaces commonly used in Japanese, for example. Therefore, we prototype a programming learning support Web system to improve learning efficiency by identifying compile errors in programs that are difficult for beginners to understand and presenting the description errors and legitimate grammars in an easy-to-understand manner.

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In the case of Japan, this study introduces a system that supports the Graduation Research that university students carry out during their graduation year. We will discuss the use of generative AI as a solution to the slow progress.

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Natural disasters in Japan are increasing every year. Since the elderly are often affected, it is important for them to be able to evacuate to shelters in order to mitigate the damage. In this study, we focused on the issue of evacuation for the elderly and proposed the use of welfare facilities as evacuation shelter. The analysis of the effect of using welfare facilities as evacuation shelters showed that the use of welfare facilities as evacuation shelters can improve the evacuation situation of neighborhood residents, including the elderly.

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There are 5373 cultural properties in Japan designated as national treasures or important cultural assets, and securing wood for restoration of cultural assets is an important issue. However, it is becoming increasingly difficult to secure suitable timber for restoration due to changes in forest carrying capacity. In this study, we considered that forecasting demand and supply is necessary for a stable supply of timber, and attempted to forecast the demand for timber needed for cultural properties and the supply based on the amount of logged timber. As a result, it was found that in Nagano Prefecture there is enough supply to meet the demand for cedar.

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We examined the SDGs initiatives that have been called for in society in recent years, focusing on the dissemination of environmental information. As a result, it became clear that various problems have arisen due to ambiguous environmental considerations by companies. This study suggests that the use of ICT is effective in organizing and resolving this and points out management issues regarding the effective use of ICT.

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This study aims to understand how agents influence human decision-making. We test if subjects comprehend agent opinions and change their own as a result. The focus is on debating, where participants adopt opposing positions on an issue. According to Ikemoto et al. [1], a debate involves arguing for or against a motion, with judges determining the more logical side. Research explores AI capable of debating with humans, known as 'debating AI' [3]. Little research exists on how agents change opinions through intervention. This study examines how people's opinions change after agents intervene in an online debate. Understanding effective intervention methods is crucial for implementing agent interventions.

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The aging rate in Japan has been increasing year by year and remains high compared to other countries. Past research approaches to the elderly have mainly focused on topics related to health promotion, nursing care, and the medical field for the elderly. In recent years, research on the quality of life of the elderly has also progressed, and attention has been paid to how to make the elderly happy during their old age. Prior research has shown that the elderly prefer positive information and that focusing on positive information can stabilize their mood. The authors conducted an emotional analysis of news articles on special fraud and found that the elderly who prefer to acquire positive information may not actively acquire information due to the negative impression given by news articles on special fraud, indicating that news about special fraud may not reach the elderly In the previous study, we found that the elderly are entangled in the process of memory. In previous studies, a number of researchers have addressed the process of information coming in through the eyes, ears, and other sensory organs intertwined with the memory process, but there have been few studies on information transmission among the elderly. Therefore, in this study, we will analyze word-of-mouth postings by the elderly in order to clarify the characteristics of information transmission by the elderly.

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Shuang Lu, also known as Ban Sugoroku, is an ancient board game from China. It is believed to have been transmitted along the Silk Road in the 3rd century. While there are numerous references to Shuang Lu in Chinese anecdotes, legends and literary works, there is little literature detailing the rules of the game. Shuang Lu is also depicted in classical Chinese poetry, which mainly describes the enjoyment of the game. This paper aims to analyse the content of the Han poem Xi Jiang Yue: Da Shuang Lu Li in the Southern Song literature, Shilin Guangji. Through the analysis of the poem, the study seeks to explore the initial strategies of Shuang Lu derived from classical Chinese poetry.

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It is known that six types of large shogi existed before the Middle Ages. Among them, Ennen large shogi, whose number of pieces is the same as the number of days in a year in the lunar calendar (354 days), is considered, as its name suggests, a shogi game to pray for and celebrate longevity in the coming year. Therefore, there are five types of shogi with a game aspect: Maka large shogi, Large large shogi, Large shogi, Middle shogi, and Heian large shogi. In this paper, we report on the current status of the rule reprinting of Maka large shogi and Heian large shogi, as well as the process of Heian large shogi's development into Xiangqi and the prototype of chess.

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The names of shogi pieces, which developed uniquely after their introduction to Japan, can be thought of as having been given religious meanings in the Buddhist temples and shrines where they were thought to have been improved. The Tai Shogi , the largest shogi game made by the Muromachi period (1333-1573), was a mandala, a symbol of the Buddhist worldview (which also exists in Shintoism) that imitated the universe with its wide board and various pieces.

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The current rules of Middle shogi are based on the rules handed down in old documents from the Edo period (1603-1867). However, it is quite possible that the rules of Middle shogi played in the Muromachi period (1336-1573) were different from those of the Edo period, by analogy with the entries in the diaries of that period. Considering that Middle shogi was formed by removing exactly 100 pieces from Maka large shogi, it is natural to assume that Middle shogi and Maka large shogi were played under the same rules. In other words, victory or defeat would have been decided not by capturing the king, but by the safe entry of either the Free king or the Lion into the enemy's camp. We have developed a computerized version of Middle shogi that runs under the rules of Maka large shogi, and examined whether the above rules are suitable as a game.

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In board games such as ancient shogi, where strategy and tactics are not well understood, a community for studying strategy and tactics is needed to train players. By machine learning how a human learner behaves in a given situation, we can build an imitation learning agent that behaves like a human. Furthermore, by using XAI technology to visualize how the imitation learning agent evaluates the board, it can be used to learn its own strategies and those of others. This learning environment can be useful for community building.

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In recent years, the use of information technology has become widespread in the field of sports. The use and analysis of information technology in practice and games has been used to improve and enhance the performance of players. This movement is similar in rugby, and the use of information technology has been adopted by domestic and foreign teams. In this study, we measured the match data of the Rissho University rugby team using GPS, analyzed the factors of player performance, team strategy and tactics, wins and losses, and goals scored, and attempted to clarify the relationship between them. As a result, it became clear that increasing the work rate, which is the ratio of total running distance to total running time, was a contributing factor to victory.

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The SocialBooster Lite developed as a problem-solving support tool was difficult to operate, and there was a problem that the general public could not participate. Therefore, we introduced ChatGPT and developed an AI advice function to assist users. This paper summarizes the results of introducing ChatGPT to SocialBooster Lite, future issues, and future prospects.

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Cryptographic technology is essential to ensure reliability and security in today's advanced information society. In particular, the concept of public-key cryptography proposed by Diffie-Hemann in 1976 corresponds to the three elements of confidentiality, integrity, and availability. It is essential not only for the SSL that is currently used in electronic transactions on websites, but also for the construction of the authentication infrastructure (PKI) in the network society. Since the development of the RSA cryptosystem, several public cryptosystems have been proposed, and the security of many of the widely used cryptographic primitives, such as RSA and elliptic curve cryptography, lies in the fact that there is no way to decompose the product of two large primes in polynomial time. It has been pointed out that the use of quantum computers, which have been rapidly developed in recent years, breaks the security of prime factorization problems and causes serious problems in systems using them. In this paper, among post-quantum cryptography, which is said to be unbreakable even with a quantum computer in a practical time, we consider one using error-correcting code.

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The $abc-$conjecture on the derived logarithmic function $L_{\varphi}$ of the Euler function was submitted. However, it remains unresolved at present, partly because the details of various properties about $L_{\varphi}$ and the $L_{\varphi}$ value of the radical number are not clear. In this paper, we confirm the experimental results when the Euler function $\varphi$ is replaced by the modified Dedekind $\psi$ function $\psi_{0}$, and show that the derived logarithmic function $L_{\varphi}$ of the Euler function is most likely optimal with respect to the establishment of the $abc-$conjecture for the derived logarithmic function of the multiplication function. Note also the behavior of the evaluation inequality $\log_{3} x \leqq L_{\varphi}(x) \leqq \log_{2}x$ and the modified Dedekind's $\psi$ function $\psi_{0}$.

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We are developing a system for recommending sightseeing spots based on users' preferences derived from landscape images. This study explores various color extraction methods, with hierarchical clustering emerging as a promising technique. When applying this method to real tourist images, we faced challenges, such as misaligned image orientations and extended processing times up to 10 minutes for larger photos. In terms of text extraction from images using OCR, Google Cloud Vision was suggested to be more effective compared to Tesseract.

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The GUI in a menu system is filled with tool buttons whose meaning is unreadable. Hick Hyman's Law states that too many buttons make selection difficult. We argue that chat AI should be used to eliminate too many tool buttons on the interface.

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In these days, we can create a depth map from parallax pictures, LIDAR sensor or Machine Learning. However, those need multiple pictures or special hardware. The purpose of this paper is estimating the distance by subjected person form in one picture.

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This study proposes a method to extract burn areas by depth. Extraction of burns was performed in two parts. Seeds were extracted by performing k-means on a two-dimensional histogram. Seeds are used to extract burn regions by Growcut. The resulting accuracy was 83.6% for second-degree burns and 61.8% for third-degree burns.

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This paper analyzes digital literacy in manufacturing companies. Based on the data from the ICT project, the differences in digital literacy at the organizational level were clarified by PLS regression analysis. As a result, it became clear that the business units had the highest level of digital literacy at the organization level.

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Autism Spectrum Disorder (ASD) is primarily diagnosed subjectively, which can be time-consuming. Therefore, an objective perspective is needed. This study proposes an analysis focusing on the structural features of the brain using MRI images. Moreover, in order to perform machine learning on an imbalanced dataset with unequal data points, sufficient consideration was given. While the required diagnostic accuracy has not been achieved yet, it has been confirmed that the analysis focusing on brain structure is effective.

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In this paper, we propose a method for a screening system aimed at reducing the workload of cytologists in cervical cancer diagnosis. Since image processing is required according to the morphological characteristics of the cells, we first classified the cells according to their types. For nuclear extraction, we proposed two methods. Then, we detected malignant cells by the size of the nuclear area and calculated the accuracy of the detection.

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In Japan’s aging population, the onset of emergent diseases at home is increasing. Monitoring heart rate contributes to early detection of these diseases. To realize this system, a sensor that simultaneously measures multiple people in a non-contact way is needed. In this study, we fabricated several phantoms that imitated the movement of human chest wall, which oscillates according to the heart beats, and measured their heart rates simultaneously using 79 GHz millimeter-wave radar. As a result, the heart rate of each phantom could be detected with an error rate of less than 5%.

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Daifuku-cho is an educational tool that helps students learn and retain information by reflecting on their learning experiences. It is a communication card that is used between teachers and students. Students write a reflection on their class each time and submit it to the teacher. This helps to build trust between students and teachers. Until the beginning of the COVID-19 pandemic in 2020, this method was a very effective educational tool. However, due to the pandemic, face-to-face classes at universities and other institutions were no longer possible. This made it difficult to use the Daifuku-cho effectively. To address this issue, a digital reflection system was developed and implemented. By digitizing the reflection process, several benefits were obtained. Cards no longer need to be distributed and collected, which reduced the burden on teachers. Also, the limit on the number of entries and the deadline for submission were removed, which increased the number of comments and made the content more substantial. This resulted in a deeper reflection process. The digital reflection system was able to be used effectively even in the COVID-19 pandemic.

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A system has been developed that extracts the sentences that the user's gaze is focused on from the web page they are currently viewing, based on gaze information. This system also recommends search terms for new information, considering the user's preferences, using these extracted sentences and the summarized content of web pages the user has browsed in the past.

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We have developed a Python program for computer Heian large shogi. Although many functions of computer Heian large shogi, such as game support and network game functions, are at a practical level, the ultimate goal is the automatic generation of game records for training data, which is necessary for deep learning AI. Therefore, in this development, we have focused on the design of game AI. The game AI is currently very powerful, and we will present the details of the game AI in this presentation. In addition, we have confirmed that Heian large shogi is a sufficiently playable shogi game by playing the produced computer game Heian large shogi.

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