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Deep Reinforcement Learning for Addressing Disruptions in Traffic Light Control

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Computers, Materials & Continua 2022年第5期71卷 2225-2247页

作者： Faizan Rasheed Kok-Lim Alvin yau Rafidah Md Noor yung-Wey Chong School of Engineering and Computer Science University of HertfordshireHatfieldAL109ABUK Department of Computing and Information Systems Sunway UniversitySubang Jaya47500Malaysia Faculty of Computer Science and Information Technology University of MalayaKuala Lumpur50603Malaysia National Advanced IPv6 Centre Universiti Sains MalaysiaUSMPenang11800Malaysia

This paper investigates the use of multi-agent deep Q-network(MADQN)to address the curse of dimensionality issue occurred in the traditional multi-agent reinforcement learning(MARL)*** proposed MADQN is applied to traffic light controllers at multiple intersections with busy traffic and traffic disruptions,particularly *** is based on deep Q-network(DQN),which is an integration of the traditional reinforcement learning(RL)and the newly emerging deep learning(DL)*** enables traffic light controllers to learn,exchange knowledge with neighboring agents,and select optimal joint actions in a collaborative manner.A case study based on a real traffic network is conducted as part of a sustainable urban city project in the Sunway City of Kuala Lumpur in *** is also performed using a grid traffic network(GTN)to understand that the proposed scheme is effective in a traditional traffic *** proposed scheme is evaluated using two simulation tools,namely Matlab and Simulation of Urban Mobility(SUMO).Our proposed scheme has shown that the cumulative delay of vehicles can be reduced by up to 30%in the simulations.

关键词： Artificial intelligence traffic light control traffic disruptions multi-agent deep Q-network deep reinforcement learning

The Role of Deep Learning in Parking Space Identification and Prediction Systems

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Computers, Materials & Continua 2023年第4期75卷 761-784页

作者： Faizan Rasheed Yasir Saleem Kok-Lim Alvin yau yung-Wey Chong Sye Loong Keoh School of Physics Engineering and Computer ScienceUniversity of HertfordshireHatfieldAL109ABUK Department of Computer Science Aberystwyth UniversityAberystwyth SY233FLUK Lee Kong Chian Faculty of Engineering and Science Universiti Tunku Abdul RahmanKajang43200SelangorMalaysia National Advanced IPv6 Centre(NAv6) Universiti Sains MalaysiaPenang11800Malaysia School of Computing Science University of Glasgow Singapore737729Singapore

In today’s smart city transportation,traffic congestion is a vexing issue,and vehicles seeking parking spaces have been identified as one of the causes leading to approximately 40%of traffic *** parking spaces alone is insufficient because an identified available parking space may have been taken by another vehicle when it arrives,resulting in the driver’s frustration and aggravating traffic jams while searching for another parking *** explains the need to predict the availability of parking ***,deep learning(DL)has been shown to facilitate drivers to find parking spaces efficiently,leading to a promising performance enhancement in parking identification and prediction ***,no work reviews DL approaches applied to solve parking identification and prediction *** by this gap,the purpose of this work is to investigate,highlight,and report on recent advances inDLapproaches applied to predict and identify the availability of parking *** of DL-based parking identification and prediction systems is established as a methodology by classifying and categorizing existing literature,and by doing so,the salient and supportive features of different DL techniques for providing parking solutions are ***,several open research challenges are *** work identifies that there are various DL architectures,datasets,and performance measures used to address parking identification and prediction ***,there are some open-source implementations available that can be used directly either to extend existing works or explore a new *** is the first short survey article that focuses on the use of DL-based techniques in parking identification and prediction systems for smart *** study concludes that although the deployment of DL in parking identification and prediction systems provides various benefits,the convergence of these two types of systems and DL brings about new i

关键词： Convolutional neural network deep learning neural networks parking identification parking prediction smart city

Relevant Visual Semantic Context-Aware Attention-Based Dialog

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Computers, Materials & Continua 2023年第8期76卷 2337-2354页

作者： Eugene Tan Boon Hong yung-Wey Chong Tat-Chee Wan Kok-Lim Alvin yau National Advanced IPv6 Centre Universiti Sains MalaysiaPenangMalaysia Lee Kong Chian Faculty of Engineering and Science(LKCFES) Universiti Tunku Abdul RahmanSungai LongSelangorMalaysia

The existing dataset for visual dialog comprises multiple rounds of questions and a diverse range of image ***,it faces challenges in overcoming visual semantic limitations,particularly in obtaining sufficient context from visual and textual aspects of *** paper proposes a new visual dialog dataset called Diverse History-Dialog(DS-Dialog)to address the visual semantic limitations faced by the existing ***-Dialog groups relevant histories based on their respective Microsoft Common Objects in Context(MSCOCO)image categories and consolidates them for each ***,each MSCOCO image category consists of top relevant histories extracted based on their semantic relationships between the original image caption and historical *** relevant histories are consolidated for each image,and DS-Dialog enhances the current dataset by adding new context-aware relevant history to provide more visual semantic context for each *** new dataset is generated through several stages,including image semantic feature extraction,keyphrase extraction,relevant question extraction,and relevant history dialog *** DS-Dialog dataset contains about 2.6 million question-answer pairs,where 1.3 million pairs correspond to existing VisDial’s question-answer pairs,and the remaining 1.3 million pairs include a maximum of 5 image features for each VisDial image,with each image comprising 10-round relevant question-answer ***,a novel adaptive relevant history selection is proposed to resolve missing visual semantic information for each ***-Dialog is used to benchmark the performance of previous visual dialog models and achieves better performance than previous ***,the proposed DSDialog model achieves an 8% higher mean reciprocal rank(MRR),11% higher R@1%,6% higher R@5%,5% higher R@10%,and 8% higher normalized discounted cumulative gain(NDCG)compared to ***-Dialog also achieves approximately 1 point improvement o

关键词： Visual dialog context-aware relevant history computer vision natural language processing

In-patient suicide after telephone delivery of bad news to a suspected COVID-19 patient:What could be done to improve communication quality?

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Health Care Science

Health Care Science 2023年第6期2卷 400-405页

作者： Natalie Tin yau So Olivia Miu yung Ngan LKS Faculty of Medicine The University of Hong KongHong Kong SARChina Medical Ethics and Humanities Unit School of Clinical MedicineThe University of Hong KongHong Kong SARChina Centre for Medical Ethics and Law The University of Hong KongHong Kong SARChina

1|INTRODUCTION Breaking bad news is a critical communication competency for healthcare *** disclosure of a life-threatening event,such as a malignancy diagnosis,often causes significant stress to *** some patients may respond with acceptance and a determination to fight their illness,research has consistently shown that cancer patients often respond to the disclosure of their diagnosis with a range of negative emotions,such as anxiety,distress,and depression[1,2].These reactions are often accompanied by feelings of fear,uncertainty,and a sense of loss of control over their *** may also experience denial,manifesting as reluctance to accept or discuss the diagnosis[3].Avoidance is another common reaction,where patients may choose to avoid certain situations or people that remind them of their illness[4].These reactions are not uncommon and are a natural response to the stress and uncertainty of cancer diagnosis.

关键词： cancer communication COVID-19 patient suicide ethics

Intra-articular sustained-release of pirfenidone as a disease-modifying treatment for early osteoarthritis

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Bioactive Materials 2024年第9期39卷 255-272页

作者： Xiaobo Zhu Mingde Cao Kejia Li yau-Tsz Chan Hon-Fai Chan Yi-Wah Mak Hao Yao Jing Sun Michael Tim-Yun Ong Kevin Ki-Wai Ho Chien-Wei Lee Oscar Kuang-Sheng Lee Patrick Shu-Hang yung Yangzi Jiang Institute for Tissue Engineering and Regenerative Medicine School of Biomedical SciencesFaculty of MedicineThe Chinese University of Hong KongShatinHong Kong Special Administrative Region of ChinaChina School of Biomedical Sciences Faculty of MedicineThe Chinese University of Hong KongShatinHong Kong Special Administrative Region of Chin1China Department of Orthopaedics&Traumatology Faculty of MedicineThe Chinese University of Hong KongPrince of Wales HospitalShatinHong Kong Special Administrative Region of Chin1China Center for Neuromusculoskeletal Restorative Medicine Hong Kong Special Administrative Region of Chin1China Key Laboratory for Regenerative Medicine Ministry of EducationSchool of Biomedical SciencesFaculty of MedicineThe Chinese University of Hong KongHong Kong Special Administrative Region of Chin1China Department of Orthopaedic Surgery The First Affiliated HospitalSchool of MedicineZhejiang UniversityChina

Osteoarthritis(OA)is a major clinical challenge,and effective disease-modifying drugs for OA are still lacking due to the complicated pathology and scattered treatment *** early treatments are urgently needed to prevent OA *** excessive amount of transforming growth factorβ(TGFβ)is one of the major causes of synovial fibrosis and subchondral bone sclerosis,and such pathogenic changes in early OA precede cartilage *** we report a novel strategy of intra-articular sustained-release of pirfenidone(PFD),a clinically-approved TGFβinhibitor,to achieve disease-modifying effects on early OA *** found that PFD effectively restored the mineralization in the presence of excessive amount of TGFβ1(as those levels found in patients’synovial fluid).A monthly injection strategy was then designed of using poly lactic-co-glycolic acid(PLGA)microparticles and hyaluronic acid(HA)solution to enable a sustained release of PFD(the“PLGA-PFD+HA”strategy).This strategy effectively regulated OA progression in destabilization of the medial meniscus(DMM)-induced OA mice model,including preventing subchondral bone loss in early OA and subchondral bone sclerosis in late OA,and reduced synovitis and pain with cartilage preservation *** finding suggests the promising clinical application of PFD as a novel disease-modifying OA drug.

关键词： TGFβ1 signaling Osteoarthritis Subchondral bone Pirfenidone DMOAD

Hypertensive-Nimodipine Therapy for Middle Cerebral Artery Vasospasm after Resection of Glioblastoma Multiforme: A Case Report and Literature Review

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Open Journal of Modern Neurosurgery 2015年第3期5卷 76-83页

作者： Peter Yat Ming Woo Ka Wing Michael See Jason Kwan Ho Chow yung Chan Hoi Tung Wong Kwong yau Chan Department of Neurosurgery Kwong Wah Hospital Hong Kong China

Delayed cerebral ischemia (DCI) due to post-brain tumor resection vasospasm is an often unrecognized yet debilitating complication. We present a patient with DCI after the resection of glioblastoma multiforme (GBM). To our knowledge, this is the first report on DCI after GBM resection. A 52-year-old female patient with headache for one month underwent subtotal resection of a left temporal GBM encasing the proximal middle cerebral artery (MCA). She was well during the immediate postoperative period but developed right upper limb dense monoparesis on postoperative day four with computed tomographic angiography confirming left MCA vasospasm. Symptoms were significantly alleviated with weeklong hypertensive therapy and nimodipine administration;however they recurred soon after cessation of treatment. A high index of clinical suspicion is needed for the diagnosis of post-tumor resection DCI. Any new postoperative neurological deficit that cannot be explained by hemorrhage, seizures or infection should be expeditiously investigated by angiography or transcranial Doppler sonography. Prompt initiation of hypertensive and nimodipine therapy can possibly reverse neurological deficit. Treatment should be guided by Doppler, angiographic or perfusion imaging studies and not by clinical improvement alone.

关键词： Cerebral Vasospasm Delayed Cerebral Ischemia Glioblastoma Multiforme Hypertensive Therapy Nimodipine

Specific Medicinal Plant Polysaccharides Effectively Enhance the Potency of a DC-based Vaccine against Mouse Mammary Tumor Metastasis

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Specific Medicinal Plant Polysaccharides Effectively Enhance...