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

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计算机、材料和连续体（英文） 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

Reinforcement learning models for scheduling in wireless networks

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Frontiers of Computer Science 2013年第5期7卷 754-766页

作者： kok-lim alvin yau Kae Hsiang KWONG Chong SHEN Faculty of Science and Technology Sunway University Selangor 46150 Malaysia R&D Department Recovision Selangor 47650 Malaysia College of Information Science and Technology Hainan University Haikou 570228 China

The dynamicity of available resources and net- work conditions, such as channel capacity and traffic charac- teristics, have posed major challenges to scheduling in wire- less networks. Reinforcement learning （RL） enables wire- less nodes to observe their respective operating environment, learn, and make optimal or near-optimal scheduling deci- sions. Learning, which is the main intrinsic characteristic of RL, enables wireless nodes to adapt to most forms of dynamicity in the operating environment as time goes by. This paper presents an extensive review on the application of the traditional and enhanced RL approaches to various types of scheduling schemes, namely packet, sleep-wake and task schedulers, in wireless networks, as well as the advantages and performance enhancements brought about by RL. Addi- tionally, it presents how various challenges associated with scheduling schemes have been approached using RL. Finally, we discuss various open issues related to RL-based schedul- ing schemes in wireless networks in order to explore new re- search directions in this area. Discussions in this paper are presented in a tutorial manner in order to establish a founda- tion for further research in this field.

关键词： reinforcement learning scheduling wireless networks

Edge Computing-Based Joint Client Selection and Networking Scheme for Federated Learning in Vehicular IoT

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China Communications 2021年第6期18卷 39-52页

作者： Wugedele Bao Celimuge Wu Siri Guleng Jiefang Zhang kok-lim alvin yau Yusheng Ji School of computer science and information engineering Hohhot Minzu CollegeHohhot 010051China Graduate School of Informatics and Engineering The University of Electro-Communications1-5-1ChofugaokaChofu-shiTokyo182-8585 Japan Institute of Intelligent Media Technology Communication University of ZhejiangZhejiang 310018China School of Science and Technology Sunway University5Jalan UniversitiBandar Sunway47500 Petaling JayaSelangorMalaysia Information Systems Architecture Research Division National Institute of Informatics2-1-2HitotsubashiChiyoda-kuTokyo 101-8430 Japan

In order to support advanced vehicular Internet-of-Things(IoT)applications,information exchanges among different vehicles are required to find efficient solutions for catering to different application requirements in complex and dynamic vehicular *** learning(FL),which is a type of distributed learning technology,has been attracting great interest in recent years as it performs knowledge exchange among different network entities without a violation of user ***,client selection and networking scheme for enabling FL in dynamic vehicular environments,which determines the communication delay between FL clients and the central server that aggregates the models received from the clients,is still *** this paper,we propose an edge computing-based joint client selection and networking scheme for vehicular *** proposed scheme assigns some vehicles as edge vehicles by employing a distributed approach,and uses the edge vehicles as FL clients to conduct the training of local models,which learns optimal behaviors based on the interaction with *** clients also work as forwarder nodes in information sharing among network *** client selection takes into account the vehicle velocity,vehicle distribution,and the wireless link connectivity between vehicles using a fuzzy logic algorithm,resulting in an efficient learning and networking *** use computer simulations to evaluate the proposed scheme in terms of the communication overhead and the information covered in learning.

关键词： vehicular IoT federated learning client selection networking scheme

COLLABORATIVE INTELLIGENCE FOR VEHICULAR INTERNET OF THINGS

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China Communications 2021年第7期18卷 I0003-I0006页

作者： Celimuge Wu kok-lim alvin yau Carlos Tavares Calafate Lei Zhong University of Electro-Communications since IEEE TCGCC Special Interest Group on Green Internet IEEE TCBD Special Interest Group on Big Data with Computational Intelligence Department of Computing and Information Systems Sunway University Department of Computer Engineering at the Technical University of Valencia(UPV)in Spain Connected Advanced Development Division at Toyota Motor Corporation

Future vehicular Internet-of-Things(IoT)systems feature a large number of devices and multi-access environments where different types of communication,computing,and storage resources must be efficiently *** the same time,novel services such as cooperative autonomous driving and intelligent transportation systems(ITS),that demand unprecedented high accuracy,ultra-low latency,and large bandwidth,are emerging.

关键词： INTERNET services utilized

Targeting TrkB–PSD-95 coupling to mitigate neurological disorders

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Neural Regeneration Research 2025年第3期20卷 715-724页

作者： Xin Yang Yu-Wen alvin Huang John Marshall Department of Molecular Biology Cell Biology and BiochemistryBrown UniversityProvidenceRIUSA Department of Neurology Warren Alpert Medical School of Brown UniversityProvidenceRIUSA Center for Translational Neuroscience Robert J.and Nancy D.Carney Institute for Brain Science and Brown Institute for Translational ScienceBrown UniversityProvidenceRIUSA

Tropomyosin receptor kinase B(TrkB)signaling plays a pivotal role in dendritic growth and dendritic spine formation to promote learning and *** activity-dependent release of brain-derived neurotrophic factor at synapses binds to pre-or postsynaptic TrkB resulting in the strengthening of synapses,reflected by long-term ***,the association of postsynaptic density protein-95 with TrkB enhances phospholipase Cγ-Ca^(2+)/calmodulin-dependent protein kinaseⅡand phosphatidylinositol 3-kinase-mechanistic target of rapamycin signaling required for long-term *** this review,we discuss TrkB-postsynaptic density protein-95 coupling as a promising strategy to magnify brain-derived neurotrophic factor signaling towards the development of novel therapeutics for specific neurological disorders.A reduction of TrkB signaling has been observed in neurodegenerative disorders,such as Alzheimer's disease and Huntington's disease,and enhancement of postsynaptic density protein-95 association with TrkB signaling could mitigate the observed deficiency of neuronal connectivity in schizophrenia and *** with brain-derived neurotrophic factor is problematic,due to poor pharmacokinetics,low brain penetration,and side effects resulting from activation of the p75 neurotrophin receptor or the truncated TrkB.T1 *** TrkB agonists and antibodies that activate TrkB are being intensively investigated,they cannot distinguish the multiple human TrkB splicing isoforms or cell type-specific *** TrkB–postsynaptic density protein-95 coupling provides an alternative approach to specifically boost TrkB signaling at localized synaptic sites versus global stimulation that risks many adverse side effects.

关键词： Angelman syndrome autism brain-derived neurotrophic factor depression neurodegenerative disorder neurodevelopmental disorder postsynaptic density protein-95 synaptic plasticity TrkB

Can intravesical prostatic protrusion predict bladder outlet obstruction even in men with good flow?

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Asian Journal of Urology 2016年第1期3卷 39-43页

作者： alvin Lee Han Jie Lee kok Bin lim Hong Hong Huang Henry Ho Keong Tatt Foo Department of Urology Singapore General HospitalSingapore Urology Centre Raffles HospitalSingapore

Objective:Men with benign prostate hyperplasia(BPH)with good urinary flow may still have bladder outlet obstruction(BOO).Intravesical prostatic protrusion(IPP)has been shown to be able to predict *** aim to investigate the use of IPP to predict BOO in men with good urinary ***:One hundred and fourteen consecutive men(>50 years old)presenting with lower urinary tract symptoms suggestive of BPH were recruited in 2001 and *** were evaluated with serum prostate specific antigen(PSA),uroflowmetry and transabdominal ultrasound measurement of IPP and prostate volume(PV).Pressure-flow urodynamic studies were performed on all men and BOO was defined by BOO index>*** with Qmax12.0 mL/s were considered to have good ***:Among the 114 men,61 patients had good urinary *** median age,PV and Qmax were 66 years,32.9 mm3 and 14.5 mL/s respectively.14/61(23.0%)patients had BOO and their distribution of IPP were as follows:Grade 1 e 0/20(0%)obstructed,Grade 2 e 6/22(27.3%)and Grade 3 e 8/19(42.1%).Sensitivity of Grade 2/3 IPP for BOO was 100% while specificity of Grade 3 IPP was 76.6%.The area-under-curve(AUC)for IPP was greater than that for PV(0.757 vs.0.696).Conclusion:Even in men with good flow,high grades of IPP were more likely to have BOO and hence,may be a useful adjunct to predict BOO.

关键词： Male Prostate hyperplasia Pathology Ultrasonography Urinary bladder Urodynamics

Sex education for adolescents:Indonesian nurse educators’experience as parents

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Frontiers of Nursing 2022年第3期9卷 303-310页

作者： alvin Salim Evelyn Hemme Tambunan Universitas Advent Indonesia Bandung 40559Indonesia

Objectives:Sex education toward adolescent remains the most controversial subject due to the various thoughts and ideas of different values present in *** educators as parents must exemplify sex education to their *** aim of this present study was to explore parents’experience,with nurse educators background to be exact,on how they convey sex education to their ***:This study is a descriptive qualitative study,and the sample is recruited by using the purposive sampling *** qualified participants filled in the informed consent,provided demographic data,and were *** data were obtained at the 6th interview in this *** interview is transcribed to find themes and subthemes using conventional content ***:We derived 3 main themes:parents’approach,sex education topic,and children’s ***’approach contained 4 subthemes,namely,gender match,parent-child closeness,media,and *** education topic included 5 subthemes of bodily autonomy,health and safety,reproductive anatomy,puberty-related changes,and how to maintain ***’s reaction experiences also included 4 subthemes of uncomfortable,questioning,acknowledging,and ***:As a matter of fact,some parents in eastern countries,such as Indonesia,conveyed sex education to their *** might have various reactions to that topic,but it is important to keep them safe,especially in reproductive health,regardless of the culture or *** on nurse educators as exemplifiers,nurses and nursing students might acquire the picture in conveying sex education to adolescents.

关键词： adolescent experiences Indonesian nurse educators parents and sex education

Number of holes and blades to control the performance of aquaculture aerator

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Aquaculture and Fisheries 2023年第6期8卷 672-680页

作者： Ridwan Rudi Irawan M.alvin Mubarok Department of Mechanical Engineering Gunadarma UniversityJalan Margonda RayaNo 100DepokWest Java16424Indonesia

Water quality determines the success of inland *** factor determining water quality is the concentration of dissolved oxygen(DO).To find effective paddlewheel aerators to enhance DO concentration,nine model aerators were examined:aerator 4 blades,6 blades and 8 blades with variations of 12 holes per blade,16 holes per blade and 20 holes per *** were rotated at 80 RPM,100 RPM,120 RPM and 140 *** results show the higher the rotation speed is,the bigger the increment of DO concentration is,but their relationship is not *** is a condition when increasing rotation does not affect the DO concentration *** results also indicate the greater number of blades increase more DO *** results also suggest the greater number of holes per blade initially increase DO concentration increment,but after 16 holes the increment tends to *** is predicted owing to that widening surface interaction due to the holes in the blade is taken over by reducing the volume of splashed *** this research,likely the aerator with 8 blades,16 holes per blade and rotated at 120 RPM is the optimum one to increase DO ***,if the energy consumption is also the concern,the aerator with 6 blades and 16 holes per blade likely is the better choice.

关键词： Aerator Blade Aeration process Aquaculture Aquatic animal Dissolved oxygen