MACeIP: A Multimodal Ambient Context-Enriched Intelligence Platform in Smart Cities

This paper presents a Multimodal Ambient Context-enriched Intelligence Platform (MACeIP) for Smart Cities, a comprehensive system designed to enhance urban management and citizen engagement. Our platform integrates advanced technologies, including Internet of Things (IoT) sensors, edge and cloud computing, and Multimodal AI, to create a responsive and intelligent urban ecosystem. Key components include Interactive Hubs for citizen interaction, an extensive IoT sensor network, intelligent public asset management, a pedestrian monitoring system, a City Planning Portal, and a Cloud Computing System. We demonstrate the prototype of MACeIP in several cities, focusing on Fredericton, New Brunswick. This work contributes to innovative city development by offering a scalable, efficient, and user-centric approach to urban intelligence and management.

Authors

Institutions

Publication Details

Published
2024-11-03
DOI
https://doi.org/10.1109/icce-asia63397.2024.10774046
Citations
2
Primary Topic
Context-Aware Activity Recognition Systems
Type
article
Field-Weighted Citation Impact
0.50
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

MACeIP: A Multimodal Ambient Context-Enriched Intelligence Platform in Smart Cities

Phuc Truong Loc Nguyen, Mónica Wachowicz, Hung Cao, Truong Thanh Hung Nguyen
2 citations
Context-Aware Activity Recognition Systems
0.50
article

MACeIP: A Multimodal Ambient Context-Enriched Intelligence Platform in Smart Cities

Phuc Truong Loc Nguyen, Mónica Wachowicz, Hung Cao, Truong Thanh Hung Nguyen
article en
2 citations

Abstract

This paper presents a Multimodal Ambient Context-enriched Intelligence Platform (MACeIP) for Smart Cities, a comprehensive system designed to enhance urban management and citizen engagement. Our platform integrates advanced technologies, including Internet of Things (IoT) sensors, edge and cloud computing, and Multimodal AI, to create a responsive and intelligent urban ecosystem. Key components include Interactive Hubs for citizen interaction, an extensive IoT sensor network, intelligent public asset management, a pedestrian monitoring system, a City Planning Portal, and a Cloud Computing System. We demonstrate the prototype of MACeIP in several cities, focusing on Fredericton, New Brunswick. This work contributes to innovative city development by offering a scalable, efficient, and user-centric approach to urban intelligence and management.

University of New Brunswick (CA), RMIT University (AU)
Sustainable cities and communities
Openalex Percentile: Top 32%
Context-Aware Activity Recognition Systems
0.50
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.