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Transformation of chlorine in NaCl-loaded Victorian brown coal during the gasification in steam

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燃料化学学报 2012年第12期40卷 1409-1414页

作者： ZHANG shu Mohammad asadullah Rosalie Hocking LIN Jian-ying LI Chun-zhu Department of Chemical Engineering Monash University Fuels and Energy Technology Institute Curtin University of Technology Chemical Engineering Universiti Teknologi MARA Monash Centre for Synchrotron Science and School of Chemistry Monash University College of Chemistry and Chemical Engineering Taiyuan University of Technology

This study is to examine the changes in Cl volatilizations and chemical forms in NaCl-loaded Victorian brown coal during gasification in steam at 800 ℃ using Cl K-edge X-ray absorption near-edge structure(XANES) *** char samples were prepared in a novel one-stage fluidised-bed / fixed-bed quartz reactor at a fast heating *** samples were then collected and sealed in an argon-filled bag in order to minimise possible oxidation of char and Cl by air prior to analysis by ***-steam reactions were found to significantly affect the transformation of Cl,including the possible formation of chlorine-containing organic *** the other hand,volatile-char interactions during the gasification appeared to enhance the Cl retention and prevent the formation of organic chlorine compounds in chars.

关键词：气化理论燃料化学研究发展

Tele-COVID: A Telemedicine SOA-Based Architectural Design for COVID-19 Patients

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Computers, Materials & Continua 2021年第4期67卷 549-576页

作者： asadullah.sh.ikh Mana Saleh AlReshan Yousef Asiri Adel Sulaiman Hani Alshahrani Department of Information Systems Najran UniversityNajran61441Saudi Arabia

In Wuhan,China,a novel Corona Virus(COVID-19)was detected in December 2019;it has changed the entire world and to date,the number of diagnosed cases is 38,756,2891 and 1,095,2161 people have *** happened because a large number of people got affected and there is a lack of hospitals for COVID-19 *** of the precautionary measures for COVID-19 patients is *** support this,there is an urgent need for a platform that makes treatment possible from a *** systems have been drastically increasing in number and size over recent *** increasing number intensies the extensive need for telemedicine for the national healthcare *** this paper,we present Tele-COVID which is a telemedicine application to treat COVID-19 patients from a ***-COVID is uniquely designed and implemented in Service-Oriented Architecture(SOA)to avoid the problem of interoperability,vendor lock-in,and data *** the help of Tele-COVID,the treatment of patients at a distance is possible without the need for them to visit hospitals;in case of emergency,necessary services can also be provided.

关键词： Tele-COVID telemedicine architectural design COVID-19 system design service oriented architecture second wave of COVID-19

An Intelligent Forwarding Strategy in SDN-Enabled Named-Data IoV

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Computers, Materials & Continua 2021年第12期69卷 2949-2966页

作者： asadullah Tariq Irfan ud din Rana Asif Rehman Byung-Seo Kim Department of Computer Science The Superior UniversityLahore54000Pakistan National University of Computer and Emerging Sciences Chiniot-Faisalabad Campus35400Pakistan Department of Software and Communications Engineering Hongik UniversitySejong City30016Korea

Internet of Vehicles(IoV),a rapidly growing technology for efficient vehicular communication and it is shifting the trend of traditional Vehicular Ad Hoc Networking(VANET)towards *** centralized management of IoV endorses its uniqueness and suitability for the Intelligent Transportation System(ITS)safety *** Data Networking(NDN)is an emerging internet paradigm that fulfills most of the expectations of *** of the current IP internet architecture are the main motivation behind ***-Defined Networking(SDN)is another emerging networking paradigm of technology that is highly capable of efficient management of overall networks and transforming complex networking architectures into simple and manageable *** combination of the SDN controller,NDN,and IoV can be revolutionary in the overall performance of the *** storm,due to the broadcasting nature of NDN,is a critical issue in NDN based on *** speed and rapidly changing topology of vehicles in IoV creates disconnected link problem and add unnecessary transmission *** order to cop-up with the above-discussed problems,we proposed an efficient SDN-enabled forwarding mechanism in NDN-based IoV,which supports the mobility of the vehicle and explores the cellular network for the low latency control *** IoV environment,the concept of Edge Controller(EC)to maintain and manage the in-time and real-time vehicular topology is being introduced.A mathematical estimation model is also proposed in our work that assists the centralized EC and SDN to find not only the shortest and best path but also the most reliable and durable *** naming scheme and in-network caching property of the NDN nodes reduce the *** used ndnSIM and NS-3 for the simulation experiment along with SUMO for the environment *** results of NDSDoV illustrate significant performance in terms of availability with limited routing overhead,minimized delay,retransmissions,and in

关键词： Software-defined networking named-data networking internet of vehicles routing

Social Media-Based Surveillance Systems for Health Informatics Using Machine and Deep Learning Techniques:A Comprehensive Review and Open Challenges

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Computer Modeling in Engineering & Sciences 2024年第5期139卷 1167-1202页

作者： Samina Amin Muhammad Ali Zeb Hani Alshahrani Mohammed Hamdi Mohammad Alsulami asadullah.sh.ikh Institute of Computing Kohat University of Science and TechnologyKohat26000Pakistan Department of Computer Science College of Computer Science and Information SystemsNajran UniversityNajran61441Saudi Arabia Department of Information System College of Computer Science and Information SystemsNajran UniversityNajran61441Saudi Arabia

Social media(SM)based surveillance systems,combined with machine learning(ML)and deep learning(DL)techniques,have shown potential for early detection of epidemic *** review discusses the current state of SM-based surveillance methods for early epidemic outbreaks and the role of ML and DL in enhancing their ***,every year,a large amount of data related to epidemic outbreaks,particularly Twitter data is generated by *** paper outlines the theme of SM analysis for tracking health-related issues and detecting epidemic outbreaks in SM,along with the ML and DL techniques that have been configured for the detection of epidemic *** has emerged as a promising ML technique that adaptsmultiple layers of representations or features of the data and yields state-of-the-art extrapolation *** recent years,along with the success of ML and DL in many other application domains,both ML and DL are also popularly used in SM *** paper aims to provide an overview of epidemic outbreaks in SM and then outlines a comprehensive analysis of ML and DL approaches and their existing applications in SM ***,this review serves the purpose of offering suggestions,ideas,and proposals,along with highlighting the ongoing challenges in the field of early outbreak detection that still need to be addressed.

关键词： Social media epidemic machine learning deep learning health informatics pandemic

A Secure and Efficient Cluster-Based Authentication Scheme for Internet of Things(IoTs)

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Computers, Materials & Continua 2022年第1期70卷 1033-1052页

作者： Kanwal Imran Nasreen Anjum Abdullah Alghamdi asadullah.sh.ikh Mohammed Hamdi Saeed Mahfooz Department of Computer Science University of PeshawarPeshawar25121Pakistan Department of Informatics King’s College LondonLondonSE59RJUK College of Computer Science and Information Systems Najran UniversityNajran61441Saudi Arabia

IPv6 over Low PowerWireless Personal Area Network(6LoWPAN)provides IP connectivity to the highly constrained nodes in the Internet of Things(IoTs).6LoWPANallows nodeswith limited battery power and storage capacity to carry IPv6 datagrams over the lossy and error-prone radio links offered by the IEEE 802.15.4 standard,thus acting as an adoption layer between the IPv6 protocol and IEEE 802.15.4 *** data link layer of IEEE 802.15.4 in 6LoWPAN is based on AES(Advanced Encryption Standard),but the 6LoWPANstandard lacks and has omitted the security and privacy requirements at higher *** sensor nodes in 6LoWPANcan join the network without requiring the authentication ***,from security perspectives,6LoWPAN is vulnerable to many attacks such as replay attack,Man-in-the-Middle attack,Impersonation attack,and Modification *** paper proposes a secure and efficient cluster-based authentication scheme(CBAS)for highly constrained sensor nodes in *** this approach,sensor nodes are organized into a cluster and communicate with the central network through a dedicated sensor *** main objective of CBAS is to provide efficient and authentic communication among the 6LoWPAN *** ensure the low signaling overhead during the registration,authentication,and handover procedures,we also introduce lightweight and efficient registration,de-registration,initial authentication,and handover procedures,when a sensor node or group of sensor nodes join or leave a *** security analysis shows that the proposed CBAS approach protects against various security attacks,including Identity Confidentiality attack,Modification attack,Replay attack,Man-in-the-middle attack,and Impersonation *** simulation experiments show that CBAS has reduced the registration delay by 11%,handoff authentication delay by 32%,and signaling cost by 37%compared to the SGMS(Secure GroupMobility Scheme)and LAMS(Light-Wight Authentication&Mobility Scheme).

关键词： IoT cyber security security attacks authentication delay handover delay signaling cost 6LoWPAN

Flexible Global Aggregation and Dynamic Client Selection for Federated Learning in Internet of Vehicles

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Computers, Materials & Continua 2023年第11期77卷 1739-1757页

作者： Tariq Qayyum Zouheir Trabelsi asadullah Tariq Muhammad Ali Kadhim Hayawi Irfan Ud Din College of Information Technology United Arab Emirates UniversityAl Ain17551UAE Department of Computing School of EECSNational University of Sciences and TechnologyIslamabad44000Pakistan College of Technological Innovation Zayed UniversityAbu Dhabi144534UAE Department of Computer Science The Superior UniversityLahore54000Pakistan

Federated Learning(FL)enables collaborative and privacy-preserving training of machine learning models within the Internet of Vehicles(IoV)*** FL effectively tackles privacy concerns,it also imposes significant resource *** traditional FL,trained models are transmitted to a central server for global aggregation,typically in the *** approach often leads to network congestion and bandwidth limitations when numerous devices communicate with the same *** need for Flexible Global Aggregation and Dynamic Client Selection in FL for the IoV arises from the inherent characteristics of IoV *** include diverse and distributed data sources,varying data quality,and limited communication *** employing dynamic client selection,we can prioritize relevant and high-quality data sources,enhancing model *** address this issue,we propose an FL framework that selects global aggregation nodes dynamically rather than a single fixed *** global aggregation ensures efficient utilization of limited network resources while accommodating the dynamic nature of IoV data *** approach optimizes both model performance and resource allocation,making FL in IoV more effective and *** selection of the global aggregation node is based on workload and communication speed ***,our framework overcomes the constraints associated with network,computational,and energy resources in the IoV environment by implementing a client selection algorithm that dynamically adjusts participants according to predefined *** approach surpasses Federated Averaging(FedAvg)and Hierarchical FL(HFL)regarding energy consumption,delay,and accuracy,yielding superior results.

关键词： IoT Federated Learning sensors IoV OMNeT++ edge computing

Time and Quantity Based Hybrid Consolidation Algorithms for Reduced Cost Products Delivery

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Computers, Materials & Continua 2021年第10期69卷 409-432页

作者： Muhammad Ali Memon asadullah.sh.ikh Adel Sulaiman Abdullah Alghamdi Mesfer Alrizq Bernard Archimède Department of Information Technology University of SindhJamshoroSindh76090Pakistan College of Computer Science and Information Systems Najran UniversityNajran61441Saudi Arabia University of Toulouse INP-ENIT47 Avenue d’AzereixBP1629F-65016Tarbes CedexFrance

In today’s competitive business environment,the cost of a product is one of the most important considerations for its *** are heavily involved in research strategies to minimize the cost of elements that can impact on the final price of the *** is one such *** products arrive from diverse locations to consumers in today’s digital era of online ***,the logistics sector faces several dilemmas from order attributes to environmental changes in this *** has specially been noted during the ongoing Covid-19 pandemic where the demands on online businesses have increased several ***,the methodology to optimise delivery cost and its impact on environmental focus by reducing CO_(2) emissions has gained *** resultant strategy of shipment Consolidation that has evolved is an approach that combines one or more transport orders in the same vehicle for *** Consolidation has been categorized in three order scheduling approaches:Time based consolidation,Quantity based consolidation,and a Hybrid(Time-Quantity)based *** this paper,a new Hybrid Consolidation approach is *** the Hybrid approach,it has been shown that order delivery can be facilitated by taking into account not only the order pick up time,but also the total order *** results have shown that if a time window is available in respect of the order delivery time,then the order can be delayed from pickup to consolidate it with other orders for cost *** hybrid approach is based on four consolidation principles,two of which work on fixed departure and two,on demand *** of these rules have been implemented and tested here with an application case *** analysis of the results is illustrated with different planning evaluation *** Result analyses indicate that consolidation of orders is increased with each implemented rule hence motivating us towards t

关键词： Consolidation transportation supply chain cost minimization

Optimizing Steering Angle Predictive Convolutional Neural Network for Autonomous Car

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Computers, Materials & Continua 2022年第5期71卷 2285-2302页

作者： Hajira Saleem Faisal Riaz asadullah.sh.ikh Khairan Rajab Adel Rajab Muhammad Akram Mana Saleh Al Reshan Control Automotive and Robotics Lab Affiliated lab of National Center of Robotics and Automation(NCRA HEC Pakistan)and with the Department of Computer Science and Information TechnologyMirpur University of Science and Technology(MUST)Mirpur Azad Kashmir10250Pakistan College of Computer Science and Information System Najran UniversityNajran61441Saudi Arabia College of Computer Science and Engineering University of South FloridaTampa33620United States

Deep learning techniques,particularly convolutional neural networks(CNNs),have exhibited remarkable performance in solving visionrelated problems,especially in unpredictable,dynamic,and challenging *** autonomous vehicles,imitation-learning-based steering angle prediction is viable due to the visual imagery comprehension of *** this regard,globally,researchers are currently focusing on the architectural design and optimization of the hyperparameters of CNNs to achieve the best *** has proven the superiority of metaheuristic algorithms over the manual-tuning of ***,to the best of our knowledge,these techniques are yet to be applied to address the problem of imitationlearning-based steering angle ***,in this study,we examine the application of the bat algorithm and particle swarm optimization algorithm for the optimization of the CNN model and its hyperparameters,which are employed to solve the steering angle prediction *** validate the performance of each hyperparameters’set and architectural parameters’set,we utilized the Udacity steering angle dataset and obtained the best results at the following hyperparameter set:optimizer,Adagrad;learning rate,0.0052;and nonlinear activation function,exponential linear *** per our findings,we determined that the deep learning models show better results but require more training epochs and time as compared to shallower *** show the superiority of our approach in optimizing CNNs through metaheuristic algorithms as compared with the manual-tuning *** testing was also performed using the model trained with the optimal architecture,which we developed using our approach.

关键词： Bat algorithm convolutional neural network hyperparameters metaheuristic optimization algorithm steering angle prediction

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含水煤岩超临界等温吸附模型的对比分析

煤炭学报 2020年第12期45卷 4095-4103页

作者：韩文成李爱芬方齐 asadullah Memon 中国石油大学(华东)石油工程学院山东青岛266580

甲烷在煤层中的吸附多为含水条件下的超临界吸附。为了对比分析含水和超临界条件下经典吸附模型的适用性和准确性,开展了不同温度和不同含水率下煤层气的吸附实验,并分别采用Langmuir模型、Dubinin-Radushkevich(D-R)模型、Dubinin-Asta... 详细信息

甲烷在煤层中的吸附多为含水条件下的超临界吸附。为了对比分析含水和超临界条件下经典吸附模型的适用性和准确性,开展了不同温度和不同含水率下煤层气的吸附实验,并分别采用Langmuir模型、Dubinin-Radushkevich(D-R)模型、Dubinin-Astakhov(D-A)模型,以及考虑了煤层气溶解及煤岩膨胀的改进Langmuir+k模型、Dubinin-Radushkevich+k(D-R+k)模型、Dubinin-Astakhov+k(D-A+k)模型对含水煤岩的吸附数据进行了拟合及对比分析,并讨论了水分和温度对煤岩超临界吸附的综合影响。结果表明:Langmuir模型、D-R模型和D-A模型在中压和高压下与实测结果偏差较大,均方根误差介于0.01~0.06。而考虑溶解气及煤岩膨胀等因素的改进吸附模型具有更高的拟合精度,其中D-A+k模型最适用于描述含水煤岩的超临界吸附,拟合误差最小,拟合精度最高,其均方根误差介于0.002~0.009。不同温度下含水煤岩的饱和吸附量均随含水率的增加出现不同程度的降低,当含水率增加至某一值后甲烷吸附量趋于稳定。在30和60℃下当煤岩含水率由0增至6%时,甲烷饱和吸附量分别降低7.92%和2.49%。不同含水率的煤岩其饱和吸附量随温度的增加出现不同程度的降低,当温度由30℃升高至60℃时,干煤样的饱和吸附量降低9.05%,而含水率为2.5%的湿煤样其饱和吸附量降低4.61%,含水率为6.0%的湿煤样其饱和吸附量降低3.68%。可见甲烷在煤岩中的吸附受水分和温度的综合影响,含水煤岩的饱和吸附量随温度和含水率的升高而降低,温度越高时煤岩的饱和吸附量受水分的影响越小,含水率越高的煤岩其饱和吸附量受温度影响越小。

关键词：水分煤岩超临界等温吸附吸附模型饱和吸附量