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2023年度東京都市大学「重点推進研究」に当研究室の研究テーマが採択されました

当研究室の研究テーマ「Digital transformation of transmission line inspection using autonomous drones and deep learning」が、東京都市大学の2023年度「重点推進研究」に採択されました。 重点研究審査委員会ならびに研究委員会の 厳正な評価・審査を経て、本研究テーマは「若手研究者」の部類に採択されました。 研究期間 2023 年 4 月 1 日~2025 年 3月 31 日 The research theme of our laboratory has been adopted for the 2023 Tokyo City University “Priority Promotion Research”. Our laboratory’s research theme “Digital transformation of transmission line inspection using autonomous …

2023年度東京都市大学「重点推進研究」に当研究室の研究テーマが採択されました Read More »

B4 Students Final Thesis Presentation

Three 4th year undergraduate students from the ubiquitous intelligent system lab successfully presented their thesis in the final thesis presentation of the Department of Electrical, Electronics, and Communications Engineering on Monday, February 6th, 2023. Following are the name of the students and their thesis presentation titles: 1. Yuta Sukizaki: Inspection of Overhead Line Equipment Using …

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Best Presentation Award at IEEE RAAI 2022

Nico Surantha participated in the 2022 IEEE 2nd International Conference on Robotics, Automation and Artificial Intelligence (RAAI 2022). The conference was held in hybrid mode, both onsite and online (9-11 December 2022). The onsite one was held in Singapore. Nico Surantha presented two papers in this conference online. The first one is “Digital Transformation on …

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NICO講師の論文がSpringer’s Journal of Big Dataに掲載されました。https://doi.org/10.1186/s40537-022-00658-4

Springer’s Journal of Big Data (Scopus Q1, IF 10.835) に論文が掲載されました!! ヘルス モニタリング システムの課題は、ウェアラブル センサーからの大量の受信データです。 この研究では、複数の時系列データベースと Message Queue Telemetry Protocol (MQTT) サーバーから構成される新しいシステム アーキテクチャを提案して、より高いスループット、より高速なデータベースの読み書き操作、およびより信頼性の高いシステム設計を実現します。 Our new paper has been published in Springer’s Journal of Big Data (Scopus Q1, IF 10.835)!! The challenge of the health monitoring system is the massive amount of incoming data from wearable sensors. …

NICO講師の論文がSpringer’s Journal of Big Dataに掲載されました。https://doi.org/10.1186/s40537-022-00658-4 Read More »

Invited Speaker at MISAC Startup Tel-Conference

On May 22nd, Nico Surantha was invited to share his research in digital health at Medical Informatics Standard Application Consortium (MISAC) startup tel-conference. This teleconference was held by MISAC consortium, Tzu-Chi University (Taiwan), and BINUS University (Indonesia). At this conference, Nico shared his research with the title “Intelligent Remote Health Monitoring System using Wearable Sensor”. …

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Call for Papers: [Signals] (ISSN 2624-6120) Special Issue on “Recent Advances of Wireless Communications”

Dear colleagues, The open-access journal Signals (ISSN 2624-6120) is pleased to announce thatwe have launched a new Special Issue entitled “Recent Advances of WirelessCommunications.” I am serving as Guest Editor for this issue. Given the depth of your expertise in this field, I would like to cordiallyinvite you to contribute an article to the Special …

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Nico Surantha Gave a Guest Lecture at UAB Barcelona

Nico Surantha was invited as a guest lecturer at the Design of Integrated Systems for Digital Processing (DSIPD) class hosted by Professor Jordi Carrabina at Universitat Autonoma de Barcelona (UAB). Nico Surantha delivered two topics about integrated systems applications in this master program class, which are about System-on-Chip (SoC) design for industrial wireless applications and Internet-of-Things (IoT) Systems …

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Ubiquitous Intelligent System (Introduction)

In Ubiquitous Intelligent System Lab, we focus on the design, development, and evaluation of the intelligent system to solve the human being problem through the aid of embedded systems, portable sensors, wireless networks, cloud computing, and artificial intelligence. The research is conducted in the following area: Data analysis using machine learning and deep learning algorithm. …

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NICO講師の論文がIEEE Accessに掲載されました。https://doi.org/10.1109/ACCESS.2022.3167637

Our new paper has been published in IEEE Access journal paper!! In this paper we published about our proposed IOT platform for sleep monitoring based on even-drivent and microservice architecture. We also propose the combination of weighted extreme learning machine (WELM) algorithm and particle swarm optimization (PSO) to identify the sleep stages of the patient. …

NICO講師の論文がIEEE Accessに掲載されました。https://doi.org/10.1109/ACCESS.2022.3167637 Read More »