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5th International Conference on Industrial Artificial Intelligence, IAI 2023

作者： Yao, Jingwang Wang, Xing'An Lv, Hui Li, Yang Zhang, Wujie Dalian University Key Laboratory of Advanced Design and Intelligent Computing Ministry of Education School of Software Engineering Dalian116622 China Dalian University College of Environmental and Chemical Engineering Dalian116622 China Dalian Chivy Biotechnology Co. Ltd Dalian116023 China Northeastern University State Key Laboratory of Synthetical Automation for Process Industries Shenyang110004 China

ISBN: (纸本)9798350325294

An important goal in synthetic biology is in the design and implementation of control strategies embedded in biochemical reaction systems to enable control of the process at the molecular level. The problem of set-point tracking and perturbation disturbances in the biochemical reaction process can be solved by a state feedback control strategy and a more stable and better dynamic performance of synthetic controllers. First, it is shown how a set of CRNs can provide state feedback to the biomolecular implementation of the H∞ controller. Then, to facilitate the modularity of biochemical process design, CRNs of trigonometric functions and repetitive sequence step signals are defined for the first time as input signals to the controller. Finally, numerical simulation experiments are designed to verify the effectiveness of the whole scheme from several perspectives, such as setpoint tracking and external perturbations. The results show that the state feedback H∞ molecular controller outperforms the conventional linear controller because it has a faster tracking response and better perturbation rejection performance. © 2023 IEEE.

关键词： Controllers

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Understanding order cancellation behavior in on-demand delivery services

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Transportation Research Part A: Policy and Practice 2025年 198卷

作者： Liang, Jian Zhao, Ya Wang, Hai Yang, Linchuan Ke, Jintao Department of Civil Engineering the University of Hong Kong Hong Kong Department of Urban Planning and Design the University of Hong Kong Hong Kong School of Computing and Information Systems Singapore Management University Singapore Department of Urban and Rural Planning School of Architecture Southwest Jiaotong University Chengdu China

The rise of digital platforms has transformed urban mobility by offering a wide range of on-demand transportation and delivery services, such as ride-hailing, grocery delivery, and food delivery. Consumers using these services typically experience two key waiting stages: waiting online for matching and waiting physically for driver pick-up. A common consequence of waiting is order cancellation, which not only disrupts platform operations but also generates inefficient vehicle movements and puts strain on urban road networks. This paper examines the dynamics of order cancellations in the two stages and their interactions by using a two-stage survival analysis combined with a Heckman correction model. Based on a dataset of delivered and cancelled orders from an on-demand food delivery platform in Asia, we reveal several key findings. First, we identify an asymmetric effect of accumulated waiting time on cancellations before and after the expected waiting time, which provides evidence to the existence of reference-dependence preferences in on-demand services. Second, while higher delivery fees reduce cancellations in the matching stage, they increase the risk of orders being cancelled shortly after they are matched to drivers. Third, the risk of cancellation is significantly reduced when the order is delivered by a familiar driver. Lastly, we reveal how the risk of order cancellation varies with waiting time in both the matching and pick-up stages. These findings provide valuable insights for optimizing pricing and matching strategies to mitigate order cancellations, enhance the efficiency of on-demand services, and reduce inefficient trips caused by cancellations. © 2025 Elsevier Ltd

关键词： Urban transportation

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Introduction to the Special Issue on Perspectives on Soundscape and Challenges of Noise Pollution: A Multidisciplinary Approach to Sustainable Environmental Solutions

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Sound & Vibration 2023年第1期57卷 69-71页

作者： Tallal Abdel Karim Bouzir Djihed Berkouk Institute of Architecture and Urban Planning Blida UniversityBlida09000Algeria Department of Architecture Hekma School of EngineeringComputing and DesignDar Al-Hekma UniversityJeddah22246Saudi Arabia

Over the past two decades,research on the subject of noise pollution and urban soundscapes has seen significant growth[1,2].The goal of these studies was to gain a better understanding of the urban acoustic environment by employing various methodologies and techniques to delve into the complexity of this *** research efforts have primarily revolved around two fundamental axes[3].On one hand,the first axis focused on combating noise pollution[4–6],emphasizing the reduction of unwanted sounds and compliance with sound levels set by environmental and health protection organizations[7,8].

关键词： primarily Sound pollution

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Computer-aided Colorization State-of-the-science: A Survey

arXiv

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arXiv 2024年

作者： Cao, Yu Duan, Xin Meng, Xiangqiao Mok, P.Y. Li, Ping Lee, Tong-Yee The School of Fashion and Textiles The Hong Kong Polytechnic University Hong Kong The Department of Computing The School of Design The Hong Kong Polytechnic University Hong Kong The Laboratory for Artificial Intelligence in Design Hong Kong The Department of Computer Science and Information Engineering National Cheng-Kung University Tainan70101 Taiwan

This paper reviews published research in the field of computer-aided colorization technology. We argue that the colorization task originates from computer graphics, prospers by introducing computer vision, and tends to the fusion of vision and graphics, so we put forward our taxonomy and organize the whole paper chronologically. We extend the existing reconstruction-based colorization evaluation techniques, considering that aesthetic assessment of colored images should be introduced to ensure that colorization satisfies human visual-related requirements and emotions more closely. We perform the colorization aesthetic assessment on seven representative unconditional colorization models and discuss the difference between our assessment and the existing reconstruction-based metrics. Finally, this paper identifies unresolved issues and proposes fruitful areas for future research and development. Access to the project associated with this survey can be obtained at https://***/DanielCho-HK/Colorization. Copyright © 2024, The Authors. All rights reserved.

关键词： Color computer graphics

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Social Lode: Human Trajectory Prediction with Latent Odes

Social Lode: Human Trajectory Prediction with Latent Odes

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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Kexin Ke Jian Yang Yingjie Liu Mingsong Chen Xian Wei Xuan Tang MoE Engineering Research MOE Center of SW/HW Co-Design Technology and Application Shanghai Key Laboratory of Trustworthy Computing East China Normal University China School of Geospatial Information Information Engineering University China School of Communications and Electronic Engineering East China Normal University China

Human trajectory prediction is crucial in human-computer interaction and even in the safety of autonomous driving. In this work, A new method, called Social Latent Ordinary Differential Equation (Social LODE), is introduced for predicting human trajectories. The backbone of Social LODE consists of a conditional Variational Autoencoder (VAE) architecture based on Recurrent Neural Network (RNN). The hidden state updated by RNN is often discrete, but the human trajectory is continuous and uncertain. Thus, we use Latent ODEs as the decoder of VAE to overcome the limitation of RNN. Finally, we demonstrate that Social LODE achieves state-of-the-art compared to other methods, such as those involving the ETH/UCY and SDD datasets.

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Integrating Mobile Edge computing into Unmanned Aerial Vehicle Networks: An Sdn-Enabled Architecture

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IEEE Internet of Things Magazine 2021年第4期4卷 18-23页

作者： Lin, Chuan Han, Guangjie Shah, Syed Bilal Hussain Zou, Yan Gou, Linfeng Software College Northeastern University China Hohai University Department of Internet of Things Engineering China School of Computing and Mathematics Manchester Metropolitan University United Kingdom School of Power and Energy Shenyang Aircraft Design and Research Institute China Northwestern Polytechnical University China

Over the past few years, we have witnessed an exponential increase in demand for seamless and continuous Internet access to online services - multimedia services, online business, gaming, scientific analysis, and so on. With the significant advances in computing and communication techniques of edge devices, the mobile edge computing (MEC) paradigm has emerged and has been demonstrated to be more feasible and efficient in providing wireless Internet access or computing in some scenarios compared to the traditional cloud computing platform. Furthermore, the promotion and popularization of unmanned aerial vehicles (UAVs) in recent years provides the promis of ubiquitous data sensing, leading to an era of aerial MEC. In this article, we first present four representative architectures for the UAV-based MEC system. Then we survey some recent research products in this area. In particular, we argue that the UAV can be regarded as a MEC unit and propose the paradigm of a multi-UAV-based MEC network. Furthermore, we employ software-defined networking to improve the network's scalability and controllability and present the framework of the software-defined UAV network. Based on the proposed framework, we introduce the concept of a 'smart function table' that can be applied to execute the network operation in the proposed framework. After evaluating our proposed framework, especially concerning the cooperative flying ability and control delay, several challenging issues and future research suggestions are presented to guide this direction. © 2018 IEEE.

关键词： Mobile edge computing

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Caring for Reproductive Justice: design in Response to Adversity 24

Caring for Reproductive Justice: Design in Response to Adver...

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27th ACM Conference on Computer-Supported Cooperative Work and Social computing, CSCW Companion 2024

作者： Lusi, Benedetta Petterson, Adrian K. Payyapilly Thiruvenkatanathan, Kamala Krawczyk, Michaela Tseng, Emily Reime, Lara Balaam, Madeline Siek, Katie A. Zaga, Cristina Interaction Design Group University of Twente Enschede Netherlands University of Toronto Toronto Canada College of Information Sciences and Technology The Pennsylvania State University University ParkPA United States Luddy School of Informatics Computing and Engineering Indiana University BloomingtonIN United States Information Science Cornell University New YorkNY United States IT University of Copenhagen Copenhagen Denmark KTH Royal Institute of Technology Stockholm Sweden Human-Centred Design Group University of Twente Enschede Netherlands

ISBN: (纸本)9798400711145

Access to reproductive care, shaped by legal, socio-economic, political, and identity-based factors, is unevenly distributed and increasingly precarious. This one-day workshop builds on previous CSCW workshops to address the pressing need to confront issues at the intersection of Human-Computer Interaction (HCI), design research, and reproductive justice in the face of global conservatism and escalating challenges to human rights. Through speculative design, the workshop invites researchers and practitioners to address challenges in this design space, such as, but not limited to, information distribution, privacy issues, identity-based barriers, and design for care. By pulling on the threads of designed artifacts central to reproductive care and ideating on novel designs and anti-designs, participants will collaborate to formulate design and design research's role in reproductive justice futures. The workshop aims to produce provocative ideas around the messy realities of reproductive justice. We contribute critical discussions and reflections on HCI's role in promoting change and combating the oppressive forces that affect reproductive justice. © 2024 Owner/Author.

关键词： design for manufacturability

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Using STEAM Principles and Experiences to Critique and Enhance a Transdisciplinary Collaboration Framework

Using STEAM Principles and Experiences to Critique and Enhan...

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World engineering Education Forum - Global engineering Deans Council (WEEF-GEDC)

作者： Chantal Rodier Claudia Carter School of Engineering Design & Teaching Innovation Faculty of Engineering University of Ottawa Ottawa Canada College of the Built Environment Faculty of Computing Engineering and Built Environment Birmingham City University England U.K.

STEAM interdisciplinary collaborations are essential to address complex 21st-century challenges, as they can offer new ways of learning, knowing, and collaborating with more holistic perspectives on the world. Transdisciplinary problem framing and knowledge creation can furthermore benefit deep and applied learning and guide projects. However, setting up teams across academic disciplines and practices to achieve meaningful and effective outcomes is challenging, and a coherent framework and repeatable approach could aid in their success. Today, no framework for STEAM collaborations addresses the entire collaboration cycle between project partners from diverse academic disciplines and non-academic backgrounds to systematically achieve transdisciplinary knowledge creation. This study presents a STEAM evaluation of a general framework for conducting transdisciplinary research (TDR) in three phases: TDR initiation, TDR management, and transdisciplinary knowledge exchange. This STEAM evaluation was based on the researchers’ experience and network of STEAM research and recent projects. A particular focus in this paper is to share insights into the challenges faced by diverse disciplinary collaborations with engineering students and engineers in achieving transdisciplinarity and how a STEAM lens to a TDR framework may help to prepare for or overcome these challenges. The study is expected to contribute to the development of a comprehensive framework for STEAM collaborations that could be used by researchers and practitioners to achieve transdisciplinary knowledge creation, be that in their research or teaching.

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VDN: Variant-depth network for motion deblurring

VDN: Variant-depth network for motion deblurring

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作者： Guo, Cai Wang, Qian Dai, Hong-Ning Li, Ping School of Computer Science and Engineering Macau University of Science and Technology Taipa China Network and Educational Technology Center Hanshan Normal University Chaozhou China Department of Computing The Hong Kong Polytechnic University Kowloon Hong Kong Department of Computing and Decision Sciences Lingnan University Tuen Mun Hong Kong School of Design The Hong Kong Polytechnic University Kowloon Hong Kong

Motion deblurring is a challenging task in vision and graphics. Recent researches aim to deblur by using multiple sub-networks with multi-scale or multi-patch inputs. However, scaling or splitting operations on input images inevitably loses the spatial details of the images. Meanwhile, their models are usually complex and computationally expensive. To address these problems, we propose a novel variant-depth scheme. In particular, we utilize the multiple variant-depth sub-networks with scale-invariant inputs to combine into a variant-depth network (VDN). In our design, different levels of sub-networks accomplish progressive deblurring effects without transforming the inputs, thereby effectively reducing the computational complexity of the model. Extensive experiments have shown that our VDN outperforms the state-of-the-art motion deblurring methods while maintaining a lower computational cost. The source code is publicly available at: https://***/CaiGuoHS/VDN. © 2022 John Wiley & Sons, Ltd.

关键词： Complex networks

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The Internet of Things (IoT) Contribution to Natural Disaster Management: Review

The Internet of Things (IoT) Contribution to Natural Disaste...

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ACS/IEEE International Conference on Computer Systems and Applications

作者： Dinesh Goyal Aditya Sharma Kamal Deep Garg Bhisham Sharma Imed Ben Dhaou Chitkara University Institute of Engineering and Technology Chitkara University Punjab India Department of Computer Science Hekma School of Engineering Computing and Design Dar Al-Hekma University Jeddah Saudi Arabia

Natural Disaster provide serious problems for communities all over the world, with severe effects on the environment, infrastructure, and human lives. Effective disaster management solutions are increasingly important as the frequency and severity of these events rise to limit losses and ensure quick responses. A creative and promising approach to improving disaster management skills is the introduction of the Internet of Things (IoT). A brief description of the use of IoT in managing natural disasters is provided in this abstract. With the help of several networked sensors and devices, the Internet of Things (IoT) enables real-time data gathering, processing, and transmission. Utilizing this technology can result in preemptive and more efficient disaster response plans. Although there is great promise for IoT integration in disaster management, there are also issues with privacy of data, protection, and interoperability. For Internet of Things (IoT) technologies in disaster management to be successfully implemented and accepted, these problems must be addressed. This offers a brief glimpse of the revolutionary potential of IoT in tackling the intricate problems of catastrophe management.

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