Research and Development of a Cyber-I Open Service Platform

研究成果の概要 (和文) : Cyber-Iは、Real-Iのデジタル対応であり、個人データの収集と分析を行い、人の行動や感情に近づけます。本研究では、複数のデバイスから多くの個人データを収集して処理を行い、Cyber-Iの作成と管理を行うようなオープンサービスプラットフォームを開発しました。異なるデバイスやデータを柔軟でスケーラブルな管理をするために、スマートフォンをゲートウェイとして使用するクラウドやフォグベースのデータベースシステムを実装しています。また、Cyber-Iの成長をコントロールするような基本的技術やメカニズムを提案しています。さらにCyber-I関連における個人情報の保護と利用についても検討しています。研究成果の概要 (英文) : Cyber-I, short for Cyber Individual, is a digital counterpart of Real-Individual (Real-I), and is expected to continuously approximate a real person’s behavior and even mind with collections and analyses of increasing personal data. In this research, a Cyber-I open service platform has been researched and developed to collect and process rich personal big data from various sources and multiple devices for Cyber-I creation and administration as well as its modeling and life control. A cloud-fog based database system using smartphones as gateways has been implemented for flexible and scalable managements of heterogeneous devices and data. Basic strategy and mechanism have been proposed for scheduling and controlling Cyber-I growth. Cyber-I related data privacy protection and personal information usage are also studied. A series of researches on personality and affective computing has been carried out to model personal characteristics

脳情報学に基づく人間の認知・感情とその相互関係における研究

This dissertation concentrates on the neural substrates underlying the human cognition, emotion, and their interactions. Directed by the systematic methodology of brain informatics (BI), functional magnetic resonance imaging (fMRI) experiments were performed to investigate the information processing of mental arithmetic, self-regulation of aversive emotion, and attention deployment of patients with major depressive disorder (MDD), which were utilized as typical paradigms to study the relationship between cognition and emotion. Four major findings could be concluded: 1) mental addition calculation is naturally automaticwhile subtraction calculation is complex; 2) both bottom-up suppression and top-down regulation are engaged in the self-recovery from aversive emotion; 3) cognition and emotion influence each other, since some cognitive resources and brain regions are shared by the both brain functions; 4) Abnormal functioning in the joint brain areas is more likely to lead to impairments in both cognitive and emotional functions simultaneously. Our findings demonstrate that human cognition and emotion are not isolated, but compete for cognitive resources for attention and executive control. The present thesis can also be considered as a case study for demonstrating the advances of BI methodology in accelerating progress towards a multi-level understanding of brain structure and function.学位記番号:工博甲1

脳情報学に基づく人間の認知・感情とその相互関係における研究

This dissertation concentrates on the neural substrates underlying the human cognition, emotion, and their interactions. Directed by the systematic methodology of brain informatics (BI), functional magnetic resonance imaging (fMRI) experiments were performed to investigate the information processing of mental arithmetic, self-regulation of aversive emotion, and attention deployment of patients with major depressive disorder (MDD), which were utilized as typical paradigms to study the relationship between cognition and emotion. Four major findings could be concluded: 1) mental addition calculation is naturally automaticwhile subtraction calculation is complex; 2) both bottom-up suppression and top-down regulation are engaged in the self-recovery from aversive emotion; 3) cognition and emotion influence each other, since some cognitive resources and brain regions are shared by the both brain functions; 4) Abnormal functioning in the joint brain areas is more likely to lead to impairments in both cognitive and emotional functions simultaneously. Our findings demonstrate that human cognition and emotion are not isolated, but compete for cognitive resources for attention and executive control. The present thesis can also be considered as a case study for demonstrating the advances of BI methodology in accelerating progress towards a multi-level understanding of brain structure and function.学位記番号:工博甲1

Big Data in civil engineering: a state-of-the-art survey

Data generation has increased drastically over the past few years. Data management has also grown in importance because extracting the significant value out of a huge pile of raw data is of prime importance while making different decisions. This article reviews the concept of Big Data. The Thomson Reuters Web of Science Core Collection academic database was used to overview publications that contained “BIG DATA” keywords and were included in Web of Science Category under “Engineering”. The analysis of publications was made according to year, country, journal, authors, language and funding agency

Brain Informatics-Based Big Data and the Wisdom Web of Things

The authors summarize the main aspects of brain informatics based big data interacting in the social-cyber-physical space of the Wisdom Web of Things (W2T). In particular, they focus on how to realize human-level collective intelligence as a big data sharing mind--a harmonized collectivity of consciousness on the W2T that uses brain-inspired intelligent technologies to provide wisdom services. Finally, the authors propose five guiding principles to deeper understanding the nature of the vigorous interaction and interdependence of brain-body-environment

A Mobile Holistic Enterprise Transformation Framework

Mobile phones and tablets shipments are surpassing those of the PC category, as well as in relation to Internet usage as of 2016; all details which have made mobile adoption a priority for many enterprises and a challenge for them as well. Many enterprises have fallen into a paradox of spending on creating and updating mobile services, and gaining less than expected in return. Reasons for this include the lack of vision, and the lack of a clearly defined, well communicated mobile strategy. Enterprise Architecture ‘EA’ facilitates a successful transformation by controlling and managing the transitions in order to arrive at a clearly defined future state. It is regarded as the science of change to many. However, EA frameworks are very comprehensive and require weeks of training and resources, and are often too generic for mobile transformation. Therefore, an EA-based mobile holistic enterprise framework has been developed to support enterprises in making mobile initiatives a priority. The proposed framework ensures a clearly defined, well-communicated, holistic future state that is continually evaluated, as opposed to many of the existing frameworks. The proposed Mobile Holistic Enterprise Architecture Framework - ‘MHETF’ - is based on the realisation of the capabilities of smartphones that are aimed at individual average consumers (the backbone of the current mobile trend). The capabilities are categorised and translated into four sets of services categories for business use. They are linked to another two components of the framework which are: (i) the categorisation of goals and objectives that are incorporated into the Balanced Scorecard for evaluation at a later stage in planning, and continually referred to during transitions and (ii) the categorisation of the implementation forms (categorisation of end solutions’ functionalities). The framework is supported by EA inter-operability and maturity models to ensure continuity and alignment with the existing initiatives, the enterprise’s strategic objectives, and the change required in the scope of transformation. An evaluation for the available enterprise architecture frameworks was carried out and resulted in the selection of The Open Group Architecture Framework (TOGAF). The decision was also commended by the participants in the case study evaluation due to their familiarity with this framework, which is being adopted as the Saudi E Government Standard in contrast to the other major frameworks of Zachman and Federal Enterprise Architecture (FEA). MHETF has been applied to three case studies in the Kingdom of Saudi Arabia; two applications for a leading national outsourcing company, and the third for the outpatient clinics in a large hospital in the capital city of Riyadh. The results have shown major improvements in the four goal areas of mobile transformation; productivity, processes, satisfaction improvement and facilitating new opportunities. Eventually, the final evolution has shown that the participants are satisfied with the framework overall, and indicates that the framework changed their perspective of the power of mobile applications significantly, is relatively easy to understand, and that they are planning to adopt it for future mobile initiatives

A Mobile Holistic Enterprise Transformation Framework

Mobile phones and tablets shipments are surpassing those of the PC category, as well as in relation to Internet usage as of 2016; all details which have made mobile adoption a priority for many enterprises and a challenge for them as well. Many enterprises have fallen into a paradox of spending on creating and updating mobile services, and gaining less than expected in return. Reasons for this include the lack of vision, and the lack of a clearly defined, well communicated mobile strategy. Enterprise Architecture ‘EA’ facilitates a successful transformation by controlling and managing the transitions in order to arrive at a clearly defined future state. It is regarded as the science of change to many. However, EA frameworks are very comprehensive and require weeks of training and resources, and are often too generic for mobile transformation. Therefore, an EA-based mobile holistic enterprise framework has been developed to support enterprises in making mobile initiatives a priority. The proposed framework ensures a clearly defined, well-communicated, holistic future state that is continually evaluated, as opposed to many of the existing frameworks. The proposed Mobile Holistic Enterprise Architecture Framework - ‘MHETF’ - is based on the realisation of the capabilities of smartphones that are aimed at individual average consumers (the backbone of the current mobile trend). The capabilities are categorised and translated into four sets of services categories for business use. They are linked to another two components of the framework which are: (i) the categorisation of goals and objectives that are incorporated into the Balanced Scorecard for evaluation at a later stage in planning, and continually referred to during transitions and (ii) the categorisation of the implementation forms (categorisation of end solutions’ functionalities). The framework is supported by EA inter-operability and maturity models to ensure continuity and alignment with the existing initiatives, the enterprise’s strategic objectives, and the change required in the scope of transformation. An evaluation for the available enterprise architecture frameworks was carried out and resulted in the selection of The Open Group Architecture Framework (TOGAF). The decision was also commended by the participants in the case study evaluation due to their familiarity with this framework, which is being adopted as the Saudi E Government Standard in contrast to the other major frameworks of Zachman and Federal Enterprise Architecture (FEA). MHETF has been applied to three case studies in the Kingdom of Saudi Arabia; two applications for a leading national outsourcing company, and the third for the outpatient clinics in a large hospital in the capital city of Riyadh. The results have shown major improvements in the four goal areas of mobile transformation; productivity, processes, satisfaction improvement and facilitating new opportunities. Eventually, the final evolution has shown that the participants are satisfied with the framework overall, and indicates that the framework changed their perspective of the power of mobile applications significantly, is relatively easy to understand, and that they are planning to adopt it for future mobile initiatives