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Catalytically active interfaces in titania nanorod-supported copper catalysts for CO oxidation

Nano Research 2020年第2期13卷 533-542页

作者： Wasim U.Khan Season S.Chen Daniel C.W.Tsang wey yang teoh Xijun Hu Frank L.Y.Lam Alex C.K.Yip Department of Chemical and Process Engineering The University of Canterbury Christchurch 8041New Zealand Department of Civil and Environmental Engineering.The Hong Kong Polytechnic University Hong Kong.China School of Chemical Engineering The University of New South WalesSydneyNSW 2052Australia Department of Chemical and Biological Engineering The Hong Kong University of Science and TechnologyHong KongChina

One-dimensional titanium dioxide nanorod(TNR)-supported Cu catalysts(2.5 wt.%-12.5 wt.%)were synthesized using deposition-precipitation.X-ray photoelectron spectroscopy,temperature programmed reduction and CO chemisorption measurements showed that Cu doping over TNR offered metal-support interactions and interfacial active sites that had a profound impact on the catalytic *** role of the Cu-TNR interface was investigated by comparing the catalytic activity of Cu-TNR catalysts with that of pure CuO nanoparticles in CO *** presence of highly dispersed copper species,a high number of interfacial active sites,CO adsorption capacity and surface/lattice oxygen were found to be responsible for the excellent activity of 7.5CU-TNR(ie,Cu loading of 7.5 wt.%on TNR).Moreover,the Cu-TNR catalysts followed the Langmuir-Hinshelwood reaction mechanism with 7.5CU-TNR,exhibiting an apparent activation energy of 44.7 kJ/*** TNR-supported Cu catalyst gave the highest interfacial catalytic activity in medium-temperature CO oxidation(120-240℃)compared to other commonly used supports,including titanium dioxide nanoparticles(TiO2-P25),silica(SiO2)and alumina(Al20g)in which copper species were nonhomogeneously *** study confirms that medium-temperature CO oxidation is highly sensitive to the morphology and structure of the supporting material.

关键词： supported catalysts nanorod oxygen species interfacial active sites CO oxidation

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wey VV6

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车主之友 2018年第10期 36-41页

作者： TNT wey(摄影)

wey VV6是继VV5、VV7、P8之后wey品牌的第四款车型，其定位在VV5与VV7之间，并拥有高人一等的智能驾驶技术与安全配置，以此强化自身产品力。

关键词：轿车车型品牌安全性能

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Refuge size variation and potential for sperm competition in Wellington tree weta

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Current Zoology 2019年第3期65卷 213-223页

作者： Tina W.wey Clint D. KELLY Departement des Sciences Biologiques Universite du Quebec a Montreal Montreal Quebec H3C 3P8 Canada Departement de Medecine de Famille et de Medecine D'urgence Faculte de Medecine et des Sciences de la Sante Universite de Sherbrooke Quebec J1H 5N4 Canada

Ecological variation in resources can in flue nee the distributi on and en counter rates of potential mates and competitors and, con sequently, the opport unity for sexual selection. Factors that influence the likelihood that females mate multiply could also affect the potential for sperm competition. In Wellington tree weta (Hemideina crassidens, plural "weta"), the size of tree cavities (called galleries) used as refuges affects weta distribution and thus the opport unity for sexual selection and selection on male weaponry size. We examined the predicted effects of gallery size and male weap onry size on the potential for sperm competition. We asked if gallery size in flue need the potential for multiple mating by females and potential for sperm competition, if male weaponry size was associated with relative expected sperm competition intensity (SCI), and if estimated male mating success was correlated with pote ntial SCI. To qua ntify relative competitive envir on merits of males, we created and analyzed networks of potential competitors based on which males could have mated with the same females. We found that small galleries had higher potential for female multiple mating and higher potential for sperm competition. Size of male weaponry was not associated with expected relative SCI. Regardless of gallery size, males with more potential mates were expected to face lower expected relative sperm competition. Thus, in this system, variation in the size of available refuges is likely to in flue nee the pote ntial for sperm competiti on, in a way that we might expect to in crease variation in overall reproductive success.

关键词： ecological variation mating dynamics opportunity for sperm competition polyandry sexual selection

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Flow Management Mechanism in Software-Defined Network

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Computers, Materials & Continua 2022年第1期70卷 1437-1459页

作者： Eugene Tan Yung-wey Chong Mohammed F.R.Anbar National Advanced IPv6 Centre Universiti Sains MalaysiaUSMPenangMalaysia

Software-defined networking(SDN)is a paradigm shift in modern ***,centralised controller architecture in SDNimposed flow setup overhead issue as the control plane handles all flows regardless of size and *** frameworks strictly reduce control plane overhead and it does not focus on rule placement of the flows ***,existing frameworks do not focus on managing elephant flows like ***,the proposed mechanism will use the flow statistics gathering method such as random packet sampling to determine elephant flow and microflow via a predefined *** mechanism will ensure that the control plane works at an optimum workload because the controller only manages elephant flows via reactive routing and rule placement *** routing has reduced link bandwidth usage below the pre-defined ***,rule placement has increased average throughput and total transfer to 238%.Meanwhile,the data plane switches will be able to forward microflows via multipath wildcard routing without invoking controller in greater responding time by 85 ms faster in two Transmission Control Protocol(TCP)traffic and achieved 11%and 12%higher total transfer size and throughput ***,the controller’s workload reduced significantly to 48%in two TCP traffic.

关键词： Software-defined network controller flow management

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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

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Transcriptome analysis creates a new era of precision medicine for managing recurrent hepatocellular carcinoma

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World Journal of Gastroenterology 2023年第5期29卷 780-799页

作者： Chun-Cheng Chiang Hsuan Yeh Siew-Na Lim wey-Ran Lin UPMC Hillman Cancer Center University of PittsburghPittsburghPA 15232United States School of Medicine University of PittsburghPittsburghPA 15213United States Department of Neurology Linkou Chang Gung Memorial HospitalTaoyuan 333Taiwan College of Medicine Chang Gung UniversityTaoyuan 333Taiwan

The high incidence of hepatocellular carcinoma(HCC)recurrence negatively impacts outcomes of patients treated with curative intent despite advances in surgical techniques and other locoregional liver-targeting *** the past few decades,the emergence of transcriptome analysis tools,including real-time quantitative reverse transcription PCR,microarrays,and RNA sequencing,has not only largely contributed to our knowledge about the pathogenesis of recurrent HCC but also led to the development of outcome prediction models based on differentially expressed gene *** recent years,the single-cell RNA sequencing technique has revolutionized our ability to study the complicated crosstalk between cancer cells and the immune environment,which may benefit further investigations on the role of different immune cells in HCC recurrence and the identification of potential therapeutic *** the present article,we summarized the major findings yielded with these transcriptome methods within the framework of a causal model consisting of three domains:primary cancer cells;carcinogenic stimuli;and tumor *** provided a comprehensive review of the insights that transcriptome analyses have provided into diagnostics,surveillance,and treatment of HCC recurrence.

关键词： Recurrent hepatocellular carcinoma Microarrays RNA sequencing Singlecell RNA sequencing Precision medicine Tumor heterogeneity Tumor microenvironment

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Natal dispersal in a social landscape： Considering individual behavioral phenotypes and social environment in dispersal ecology

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Current Zoology 2015年第3期61卷 543-556页

作者： Tina W. wey Orr SPIEGEL Pierre-Olivier MONTIGLIO Karen E. MABRY Biology Department New Mexico State University Las Cruces NM 88003 USA Department of Environmental Science & Policy University of California at Davis Davis CA 95616 USA

Natal dispersal, the movement of an organism from its birthplace to the site of first reproduction, is fundamental to many ecological and evolutionary processes. Mechanistically, individual dispersal decisions can depend on both individual phe- notype and environmental cues. In particular, many established evolutionary theories of dispersal highlight the importance of the social environment. More recent research in behavioral ecology has focused on the importance of individual behavioral pheno- types. We reviewed the literature on individual behavioral phenotypes and dispersal and suggest that how individual behavioral phenotypes interact with the immediate social environment experienced by individuals in influencing dispersal is still poorly un- derstood, despite growing interest. We found that very few studies had examined the interaction of individual behavioral pheno- types and social factors, and behavioral phenotypes related to social tendencies were less commonly measured than were beha- vioral phenotypes related to exploration or response to risk. Further, and unsurprisingly, studies on social behavioral phenotypes and dispersal behaviors during the transience stage of dispersal were underrepresented compared to the departure or settlement stages. Future studies in this area should aim to＂ a） make explicit links between behavioral traits and their proposed effects on dispersal decisions throughout multiple stages of dispersal, b） integrate more continuous dispersal variables, and c） consider the effects of the spatial distribution and phenotypes of conspecifics （i.e., the social landscape） encountered by individual dispersers

关键词： Animal dispersal Animal personality Behavioral syndromes Individual differences Social landscape

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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

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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

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Entropy-Based Approach to Detect DDoS Attacks on Software Defined Networking Controller

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Computers, Materials & Continua 2021年第10期69卷 373-391页

作者： Mohammad Aladaileh Mohammed Anbar Iznan H.Hasbullah Yousef K.Sanjalawe Yung-wey Chong National Advanced IPv6 Centre of Excellence Universiti Sains MalaysiaPenangMalaysia Department of Computer Sciences Northern Border UniversityAr’arKingdom of Saudi Arabia

The Software-Defined Networking(SDN)technology improves network management over existing technology via centralized network *** SDN provides a perfect platform for researchers to solve traditional network’s outstanding ***,despite the advantages of centralized control,concern about its security is *** more traditional network switched to SDN technology,the more attractive it becomes to malicious actors,especially the controller,because it is the network’s brain.A Distributed Denial of Service(DDoS)attack on the controller could cripple the entire *** that reason,researchers are always looking for ways to detect DDoS attacks against the controller with higher accuracy and lower false-positive *** paper proposes an entropy-based approach to detect low-rate and high-rate DDoS attacks against the SDN controller,regardless of the number of attackers or *** proposed approach generalized the Rényi joint entropy for analyzing the network traffic flow to detect DDoS attack traffic flow of varying *** two packet header features and generalized Rényi joint entropy,the proposed approach achieved a better detection rate than the EDDSC approach that uses Shannon entropy metrics.

关键词： Software-defined networking DDoS attack distributed denial of service Rényi joint entropy

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