Results 91 to 100 of about 3,843,339 (249)

Linking Polyelectrolyte Modification and Enzyme‐Catalyzed Phenolic Acid Functionalization of Cellulose Fiber for Functional Foams

Advanced Materials Technologies, EarlyView.
Cellulose fibers functionalized using cationic poly(Dimethyldiallylammonium chloride) (polyDADMAC) and laccase‐mediated ferulic acid system are processed into foams using different surfactants (Anionic, cationic, and non‐ionic). Fiber–surfactant interactions influence foam stabilization and porous structure formation during convective drying, producing
Abirami Senthil, Sara Wallstén, Paul Christakopoulos, Ulrika Rova, Io Antonopoulou   +4 more
wiley   +1 more source

Toward interactive crowd dynamics in virtual built environment: A BIM-driven and macro–micro integrated crowd simulation framework

Developments in the Built Environment
Interactive crowd dynamics are crucial for achieving high-fidelity pedestrian behavior in virtual built environments. This study presents IntCrowd, a novel framework for enhancing interactive crowd simulation within immersive virtual environments.
Haoyang Liang, Jian Sun, S.C. Wong, Xiaoqian Liu, Chi Chiu Lam, Mun On Wong   +5 more
doaj   +1 more source

Crowd Motion Analysis Based on Social Force Graph with Streak Flow Attribute

Journal of Electrical and Computer Engineering, 2015
Over the past decades, crowd management has attracted a great deal of attention in the area of video surveillance. Among various tasks of video surveillance analysis, crowd motion analysis is the basis of numerous subsequent applications of surveillance ...
Shaonian Huang, Dongjun Huang, Mansoor Ahmed Khuhro   +2 more
doaj   +1 more source

Information Transmission Strategies for Self‐Organized Robotic Aggregation

Advanced Robotics Research, EarlyView.
In this review, we discuss how information transmission influences the neighbor‐based self‐organized aggregation of swarm robots. We focus specifically on local interactions regarding information transfer and categorize previous studies based on the functions of the information exchanged.
Shu Leng, Zihan Li, Yifeng Shao, Jinhao Liu, Li Yu, Shuguang Li   +5 more
wiley   +1 more source

Crowd Management at Turnstiles in Metro Stations: A Pilot Study Based on Observation and Microsimulation

Systems
Crowd management at turnstiles in metro stations is a critical task for ensuring safety, efficiency, and comfort for passengers. A methodology based on observation and microsimulation provides an advanced understanding and optimization of crowd flow ...
Sebastian Seriani, Vicente Aprigliano, Alvaro Peña, Alexis Garrido, Bernardo Arredondo, Vinicius Minatogawa, Claudio Falavigna, Taku Fujiyama   +7 more
doaj   +1 more source

Crowd-sourced cognitive map of Bundang.

, 2019
Crowd-sourced cognitive map of Bundang.
Youngchul Kim (28900), Kee Moon Jang (6862304)   +1 more
core   +1 more source

Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models

Advanced Robotics Research, EarlyView.
A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki, Ilche Georgievski, Marco Aiello   +2 more
wiley   +1 more source

Crowd Event Perception Based on Spatiotemporal Weber Field

Journal of Electrical and Computer Engineering, 2014
Over the past decade, a wide attention has been paid to the crowd control and management in intelligent video surveillance area. Among the tasks of automatic video-based crowd management, crowd motion modeling is recognized as one of the most critical ...
Zhou Su, Hua Wei, Sha Wei
doaj   +1 more source

Crowd-sourced cognitive map of Dongtan.

, 2019
Crowd-sourced cognitive map of Dongtan.
Youngchul Kim (28900), Kee Moon Jang (6862304)   +1 more
core   +1 more source

Learning‐Based Soft Robotic Grasping: Recent Progress and Remaining Challenges

Advanced Robotics Research, EarlyView.
This review analyzes learning‐based soft robotic grasping from a pipeline‐oriented perspective, encompassing soft gripper design, multimodal sensing, and learning‐based planning and control. It surveys key neural network architectures and benchmark datasets and identifies critical challenges such as sim‐to‐real transfer, generalization, and continual ...
Arnab Majumder, Jelizaveta Konstantinova, Graham Deacon, Kaspar Althoefer   +3 more
wiley   +1 more source