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SEMINAR A
| Lecturer(s) | NAKAZAWA, JIN |
|---|---|
| Credit(s) | 4 |
| Academic Year/Semester | 2025 Fall |
| Day/Period | Thu.2,3 |
| Campus | SFC |
| Class Format | Face-to-face classes (conducted mainly in-person) |
| Registration Number | 37488 |
| Faculty/Graduate School | POLICY MANAGEMENT / ENVIRONMENT AND INFORMATION STUDIES |
| Year Level | 1, 2, 3, 4 |
| Field | RESEARCH SEMINARS SEMINARS |
| Grade Type | This item will appear when you log in (Keio ID required). |
| Related Classes | B6047 インターネット/INTRODUCTION TO THE INTERNET C2073 スマートデバイスプログラミング/PROGRAMMING ON MOBILE DEVICES C2083 インターネット計測とデータ解析/INTERNET MEASUREMENT AND DATA ANALYSIS C2089 インターネットの設計と運用/DESIGN AND OPERATION OF THE INTERNET C2072 システムプログラミング/SYSTEM PROGRAMMING B4005 スクリプト言語プログラミング基礎/FUNDAMENTALS OF PROGRAMMING WITH SCRIPT LANGUAGES B4004 オブジェクト指向プログラミング基礎/FUNDAMENTALS OF OBJECT-ORIENTED PROGRAMMING B4003 システムプログラミング基礎/FUNDAMENTALS OF SYSTEM PROGRAMMING B6115 データ獲得法/INTRODUCTION TO DATA ACQUISITION |
| Recommended Knowledge | There are international students in my lab. If you have any questions regarding the language issue, please let us know. We can introduce you to existing international students. |
| Lesson URL | This item will appear when you log in (Keio ID required). |
| Location | SFC;Other |
| Course Requirements | This item will appear when you log in (Keio ID required). |
Student Screening Courses requiring entry to selection should be registered via SOL-A. *Only students who have a CNS account and who are not students of the Faculty of Policy Studies, Faculty of Environment and Information Studies, Graduate School of Media and Governance, Faculty of Nursing and Medical Care, and Graduate School of Health Management can enter via the system. Please check K-Support News for the details. | This item will appear when you log in (Keio ID required). |
| Contact(Mail) | This item will appear when you log in (Keio ID required). |
| K-Number | FPE-CO-05003-211-60 |
| Course Administrator | Faculty/Graduate School | FPE | POLICY MANAGEMENT / ENVIRONMENT AND INFORMATION STUDIES |
|---|---|---|---|
| Department/Major | CO | ||
| Main Course Number | Level | 0 | Faculty-wide |
| Major Classification | 5 | Research Seminars | |
| Minor Classification | 00 | Seminar | |
| Subject Type | 3 | Elective subject | |
| Supplemental Course Information | Class Classification | 2 | Lecture |
| Class Format | 1 | Face-to-face classes (conducted mainly in-person) | |
| Language of Instruction | 1 | Japanese | |
| Academic Discipline | 60 | Information science, computer engineering, and related fields | |
Course Summary
A city or city where the power of information improves the quality of the activity of that person simply by staying there or staying is called smart city. This study group creates information technology to collect, process and produce information that enhances people's health, convenience, safety, and makes people happy.
Course Description/Objectives/Teaching Method/Intended Learning Outcome
A city or city where the power of information improves the quality of the activity of that person simply by staying there or staying is called smart city. This study group creates information technology to collect, process and produce information that enhances people's health, convenience, safety, and makes people happy. Specifically, we will address the following research subjects.
· IoT technology to comprehensively detect streets and people in space-time
As a technique to acquire human behavior and the state of the city with high spatiotemporal density, research on automotive sensing technology based on vehicle IoT, participatory sensing technology with human IoT, and well-being computing technology for understanding human behavior Advance.
· Distributed system technology to realize large-scale real-time distribution of sensing data
We will conduct research on platforms that distribute data obtained from sensors that exist in large quantities in real space to applications and services that exist in large quantities in virtual space in real time and the network system software and operating systems that form the basis.
· Intelligent processing technology of sensing data
We will advance research on technology to process massive sensing data, understand space, predict the near future, and produce information that effectively contributes to human activities using AI technology centering on deep learning.
Our lab also emphasizes demonstration through international collaborative research projects with various external organizations including domestic and foreign universities, companies and local governments. Students are strongly encouraged to participate in such projects, to collaborate with industry, government and academia, and to have international experience.
· IoT technology to comprehensively detect streets and people in space-time
As a technique to acquire human behavior and the state of the city with high spatiotemporal density, research on automotive sensing technology based on vehicle IoT, participatory sensing technology with human IoT, and well-being computing technology for understanding human behavior Advance.
· Distributed system technology to realize large-scale real-time distribution of sensing data
We will conduct research on platforms that distribute data obtained from sensors that exist in large quantities in real space to applications and services that exist in large quantities in virtual space in real time and the network system software and operating systems that form the basis.
· Intelligent processing technology of sensing data
We will advance research on technology to process massive sensing data, understand space, predict the near future, and produce information that effectively contributes to human activities using AI technology centering on deep learning.
Our lab also emphasizes demonstration through international collaborative research projects with various external organizations including domestic and foreign universities, companies and local governments. Students are strongly encouraged to participate in such projects, to collaborate with industry, government and academia, and to have international experience.
Research Seminar Theme
Data-driven Cities
Project Theme (next semester)
Research and development of a real-time monitoring platform for urban flood risk based on data linkage between the ground and underground
Research and development of a digital platform for promoting regional waste management, collection and reduction using granular waste discharge data: “Zero Waste Shonan
Research and development of a technology for generating learning data for in-vehicle devices using generative AI
AI-QoS: Adaptive QoS-driven technology for deep learning models
Research and development of a digital platform for promoting regional waste management, collection and reduction using granular waste discharge data: “Zero Waste Shonan
Research and development of a technology for generating learning data for in-vehicle devices using generative AI
AI-QoS: Adaptive QoS-driven technology for deep learning models
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