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Advancements in Computing (ICAC), International Conference on

作者： Kalna Peiris Ruchira Nelaka Kalpani Manathunga Department of Computer Systems Engineering Department of Information Technology Department of Computer Science and Software Engineering

ISBN: (数字)9798331517878

ISBN: (纸本)9798331517885

Autism Spectrum Disorder (ASD) significantly impacts a child's ability to navigate social interactions, regulate emotions, and develop adaptive skills crucial for daily functioning. While various interventions exist to address cognitive and academic skills, the development of soft skills such as communication, emotional regulation, social interaction, and creativity remains an under explored area. This paper builds upon the foundational work of the Mind Champ platform, which originally targeted both learning and soft skills, by focusing exclusively on enhancing the soft skills development of autistic children. This enhanced version of the Mind Champ platform leverages advanced behavioral and emotional analysis techniques to offer a comprehensive technological solution. Through interactive activities centered on painting and music, the platform creates a structured, engaging, and supportive environment tailored to the unique needs of children with ASD. By prioritizing emotional engagement and creative expression, the platform empowers children to improve their social abilities, emotional regulation, and adaptability. The results from our continued research indicate that these technology-driven interventions contribute significantly to the holistic development of soft skills in autistic children, providing them with valuable tools to navigate social environments more effectively.

关键词： Autism Navigation Variable speed drives Motors Regulation Real-time systems Creativity Next generation networking Painting Resilience

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TEPEN International Workshop on Fault Diagnostics and Prognostics, TEPEN-IWFDP 2024

作者： Xu, Shuai Zhang, Chao Zhang, Jing Fei, Hongbo Wu, Le College of Mechanical Engineering Inner Mongolia University of Science and Technology Baotou014010 China Inner Mongolia Key Laboratory for Intelligent Diagnosis and Control of Electromechanical Systems Baotou014010 China

ISBN: (纸本)9783031702341

To solve the problem of low prediction accuracy of the traditional similarity matching method, a similarity matching remaining life prediction method combining monotonicity and Spearman correlation is proposed. Firstly, monotonicity is used to screen the time domain and frequency domain features of the bearings, and then Spearman correlation is used to extract the nonlinear relationship of the screened features. Next, the extracted features are fused using principal component analysis to construct the health indexes that characterize the degradation trend of the bearings. An autoregressive moving model is then used to construct a similarity model, in which the Manhattan distance is used to measure the degree of similarity between the two curves and to make the remaining life estimation. Finally, the validation is carried out on the public dataset PHM2012 dataset and compared with Poly2 and Exp1. The experimental results show that the proposed method can effectively improve the remaining life prediction accuracy, which proves the effectiveness and superiority of the proposed method. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Prediction models

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Improved Prediction of Metamaterial Antenna Bandwidth Using Adaptive Optimization of LSTM

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Computers, Materials & Continua 2022年第10期73卷 865-881页

作者： Doaa Sami Khafaga Amel Ali Alhussan El-Sayed M.El-kenawy Abdelhameed Ibrahim Said H.Abd Elkhalik Shady Y.El-Mashad Abdelaziz A.Abdelhamid Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadh11671Saudi Arabia Department of Communications and Electronics Delta Higher Institute of Engineering and TechnologyMansoura35111Egypt Faculty of Artificial Intelligence Delta University for Science and TechnologyMansoura35712Egypt Computer Engineering and Control Systems Department Faculty of EngineeringMansoura UniversityMansoura35516Egypt Department of Computer Systems Engineering Faculty of Engineering at ShoubraBenha UniversityEgypt Department of Computer Science Faculty of Computer and Information SciencesAin Shams UniversityCairo11566Egypt Department of Computer Science College of Computing and Information TechnologyShaqra University11961Saudi Arabia

The design of an antenna requires a careful selection of its parameters to retain the desired ***,this task is time-consuming when the traditional approaches are employed,which represents a significant *** the other hand,machine learning presents an effective solution to this challenge through a set of regression models that can robustly assist antenna designers to find out the best set of design parameters to achieve the intended *** this paper,we propose a novel approach for accurately predicting the bandwidth of metamaterial *** proposed approach is based on employing the recently emerged guided whale optimization algorithm using adaptive particle swarm optimization to optimize the parameters of the long-short-term memory(LSTM)deep *** optimized network is used to retrieve the metamaterial bandwidth given a set of *** addition,the superiority of the proposed approach is examined in terms of a comparison with the traditional multilayer perceptron(ML),Knearest neighbors(K-NN),and the basic LSTM in terms of several evaluation criteria such as root mean square error(RMSE),mean absolute error(MAE),and mean bias error(MBE).Experimental results show that the proposed approach could achieve RMSE of(0.003018),MAE of(0.001871),and MBE of(0.000205).These values are better than those of the other competing models.

关键词： Metamaterial antenna long short term memory(LSTM) guided whale optimization algorithm(Guided WOA) adaptive dynamic particle swarm algorithm(AD-PSO)

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A High-Performance Data Verification Mechanism in Blockchain-Based IoT systems

A High-Performance Data Verification Mechanism in Blockchain...

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IEEE International Conference on Big Data and Cloud Computing (BdCloud)

作者： Jingyu Zhang Pian Zhou Yongtao Sun Lailong Luo School of Computer and Communication Engineering Changsha University of Science and Technology Changsha China Science and Technology on Information Systems Engineering Laboratory School of Systems Engineering National University of Defense Technology Changsha China

With the rapid development of the distributed network and communication, the Internet of Things (IoT) systems have been applied to all walks of life. Blockchain technology is one of the most popular research fields recently, which can provide a reliable storage solution and solve information security issues for IoT systems. Transaction information is the most critical fundamental data in the blockchain systems, which needs to be verified to avoid being tempered with by malicious nodes in the process of transmission. With the exponential growth of the number of IoT devices, the limitations of the current storage structure put too much pressure on the system nodes. How to improve verification efficiency has become a key challenge. To alleviate this problem, this paper proposes a novel high-performance verification mechanism for data security protection in blockchain-based IoT systems. We design a new storage structure based on Huffman trunk tree (HTT), and conduct the quantitative analysis of transaction weights. Transactions are stored in full-featured devices in the form of Huffman Merkle tree (HMT), and only the content of HTT is saved in lightweight devices. Finally, the performance superiority of our mechanism is proved through theoretical analysis and experimental evaluation. In blockchain-based IoT systems, our mechanism significantly reduces the data transmission cost and computation overhead, effectively improving the efficiency of data verification.

关键词：

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Functionalization design of zinc anode for advanced aqueous zinc-ion batteries

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SusMat 2024年第2期4卷 89-124页

作者： Ziyi Feng Yang Feng Fangfang Fan Dezhao Deng Han Dong Shude Liu Ling Kang Seong Chan Jun Ling Wang Jing Zhu Lei Dai Zhangxing He School of Chemical Engineering North China University of Science and TechnologyTangshanChina State Key Laboratory of Advanced Chemical Power Sources College of ChemistryNankai UniversityTianjinChina Shanghai Frontiers Science Center of Advanced Textiles College of TextilesDonghua UniversityShanghaiChina Shanghai Key Laboratory of Multidimensional Information Processing East China Normal UniversityShanghaiChina School of Mechanical Engineering Yonsei UniversitySeoulSouth Korea

Rechargeable aqueous zinc-ion batteries(AZIBs)offer high energy density,low cost,and are environmentally friendly,rendering them potential energy storage ***,dendrite growth on the zinc anode and numerous side reac-tions during operation challenge their *** advancements have introduced various materials for the functionalization of zinc *** developments effectively mitigate the performance degradation of zinc anode,enhancing both its cycle stability and the overall performance of ***,the construction of functionalized zinc anodes is discussed,current materials(including organic,inorganic and their composites)for modified zinc anodes are categorized,and the protective mechanism behind functionalized zinc anodes is *** study concludes by outlining the characteristics of materials suitable for dendritic-free zinc anode construction and the prospects for future development directions of functionalized zinc anodes in AZIBs.

关键词： anode functionalization inorganic materials organic materials zinc-ion batteries

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Optimal Time Splitting in Wireless Energy Harvesting-Enabled Sensor Networks 4th

Optimal Time Splitting in Wireless Energy Harvesting-Enable...

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4th EAI International Conference on Cognitive Computing and Cyber Physical systems, IC4S 2023

作者： Bepari, Dipen Mondal, Soumen Pareek, Prakash Gupta, Nishu Department of Electronics and Communication Engineering National Institute of Technology Chhattisgarh Raipur492010 India Department of Electronics and Communication Engineering National Institute of Technology WB Durgapur India Department of Electronics and Communication Engineering Vishnu Institute of Technology Andhra Pradesh Bhimavaram534202 India Department of Electronic Systems Faculty of Information Technology and Electrical Engineering Norwegian University of Science and Technology Gjøvik2815 Norway

ISBN: (纸本)9783031488900

This research paper presents a study on wireless energy harvesting (WEH) protocols and their impact on the performance of sensor networks. A time switching (TS)-based WEH protocol is proposed, which allows sensor nodes to switch between energy harvesting and data transmission modes. The primary objective of this research is to maximize the uplink (UL) sum throughput while considering the constraint of a minimum downlink (DL) throughput. To achieve this, an optimization problem is formulated, and the Karush-Kuhn-Tucker (KKT) conditions and Lagrangian multiplier are employed to solve the optimization problem. Additionally, a UL-DL channel gain-based unequal sensor node operating time scheme is introduced. The results of the study demonstrate that increasing the DL threshold data rate enhances UL performance in terms of sum throughput and outage. Moreover, the proposed channel gain-based unequal operating time scheme outperforms the equal sensor node operating time approach. © 2024, ICST Institute for Computer sciences, Social Informatics and Telecommunications engineering.

关键词： Energy harvesting

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Soliton formation and spectral translation into visible on CMOS-compatible 4H-silicon-carbide-oninsulator platform

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Light(science & Applications) 2022年第12期11卷 3059-3068页

作者： Chengli Wang Jin Li Ailun Yi Zhiwei Fang Liping Zhou Zhe Wang Rui Niu Yang Chen Jiaxiang Zhang Ya Cheng Junqiu Liu Chun-Hua Dong Xin Ou State Key Laboratory of Functional Materials for Informatics Shanghai Institute of Microsystem and Information TechnologyChinese Academy of Sciences200050 ShanghaiChina The Center of Materials Science and Optoelectronics Engineering University of Chinese Academy of Sciences100049 BeijingChina CAS Key Laboratory of Quantum Information University of Science and Technology of China230026 HefeiChina CAS Center for Excellence in Quantum Information and Quantum Physics University of Science and Technology of China230026 HefeiChina The Extreme Optoelectromechanics Laboratory(XXL) School of Physics and Electronic ScienceEast China Normal University200241 ShanghaiChina State Key Laboratory of High Field Laser Physics and CAS Center for Excellence in Ultraintense Laser Science Shanghai Institute of Optics and Fine MechanicsChinese Academy of Sciences201800 ShanghaiChina International Quantum Academy 518048 ShenzhenChina Hefei National Laboratory University of Science and Technology of ChinaHefei 230026China

Recent advancements in integrated soliton microcombs open the route to a wide range of chip-based communication,sensing,and metrology *** technology translation from laboratory demonstrations to real-world applications requires the fabrication process of photonics chips to be fully CMOS-compatible,such that the manufacturing can take advantage of the ongoing evolution of semiconductor technology at reduced cost and with high *** nitride has become the leading CMOS platform for integrated soliton devices,however,it is an insulator and lacks intrinsic second-order nonlinearity for electro-optic *** materials have emerged such as AlN,LiNbO_(3),AlGaAs and GaP that exhibit simultaneous second-and third-order ***,we show that silicon carbide(SiC)--already commercially deployed in nearly ubiquitous electrical power devices such as RF electronics,MOSFET,and MEMS due to its wide bandgap properties,excellent mechanical properties,piezoelectricity and chemical inertia--is a new competitive CMOS-compatible platform for nonlinear ***-quality-factor microresonators(Q=4×10^(6))are fabricated on 4H-SiC-on-insulator thin films,where a single soliton microcomb is *** addition,we observe wide spectral translation of chaotic microcombs from near-infrared to visible due to the second-order nonlinearity of *** work highlights the prospects of SiC for future low-loss integrated nonlinear and quantum photonics that could harness electro-opto-mechanical interactions on a monolithic platform.

关键词： soliton visible insulator

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Enhanced Gorilla Troops Optimizer with Deep Learning Enabled Cybersecurity Threat Detection

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Computer systems science & engineering 2023年第6期45卷 3037-3052页

作者： Fatma S.Alrayes Najm Alotaibi Jaber S.Alzahrani Sana Alazwari Areej Alhogail Ali M.Al-Sharafi Mahmoud Othman Manar Ahmed Hamza Department of Information Systems College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Prince Saud Al Faisal Institute for Diplomatic Studies RiyadhSaudi Arabia Department of Industrial Engineering College of Engineering at AlqunfudahUmm Al-Qura UniversitySaudi Arabia Department of Information Technology College of Computers and Information TechnologyTaif UniversityP.O.Box 11099Taif21944Saudi Arabia Department of Information Systems College of Computer and Information SciencesKing Saud UniversitySaudi Arabia Department of Computer Science College of Computers and Information TechnologyUniversity of BishaSaudi Arabia Department of Computer Science Faculty of Computers and Information TechnologyFuture University in EgyptNew Cairo11835Egypt Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAlKharjSaudi Arabia

Recent developments in computer networks and Internet of Things(IoT)have enabled easy access to *** the government and business sectors face several difficulties in resolving cybersecurity network issues,like novel attacks,hackers,internet criminals,and so ***,malware attacks and software piracy pose serious risks in compromising the security of *** can steal confidential data which results infinancial and reputational *** advent of machine learning(ML)and deep learning(DL)models has been employed to accomplish security in the IoT cloud *** article pre-sents an Enhanced Artificial Gorilla Troops Optimizer with Deep Learning Enabled Cybersecurity Threat Detection(EAGTODL-CTD)in IoT Cloud *** presented EAGTODL-CTD model encompasses the identification of the threats in the IoT cloud *** proposed EAGTODL-CTD mod-el mainly focuses on the conversion of input binaryfiles to color images,where the malware can be detected using an image classification *** EAG-TODL-CTD model pre-processes the input data to transform to a compatible *** threat detection and classification,cascaded gated recurrent unit(CGRU)model is exploited to determine class ***,EAGTO approach is employed as a hyperparameter optimizer to tune the CGRU parameters,showing the novelty of our *** performance evaluation of the EAGTODL-CTD model is assessed on a dataset comprising two class labels namely malignant and *** experimental values reported the supremacy of the EAG-TODL-CTD model with increased accuracy of 99.47%.

关键词： Cybersecurity computer networks threat detection internet of things cloud computing deep learning

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Quadruple-hole multiplication by directed self-assembly of block copolymer 8

Quadruple-hole multiplication by directed self-assembly of b...

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8th International Workshop on Advanced Patterning Solutions, IWAPS 2024

作者： Wu, Zhiyong Luo, Jiacheng Dong, Qingshu Li, Jiaxiang Xu, Xingran Li, Zili Li, Weihua Zhang, Yan Xiong, Shisheng School of Information Science and Technology Fudan University Shanghai200433 China Zhangjiang laboratory 100 haike road Shanghai201204 China State Key Laboratory of Molecular Engineering of Polymers Key Laboratory of Computational Physical Sciences Department of Macromolecular Science Fudan University Shanghai200433 China

ISBN: (数字)9781510686335

ISBN: (纸本)9781510686328

Directed self-assembly (DSA) of cylindrical block copolymer with graphoepitaxy strategy offering significant potential for contact hole multiplication in semiconductor manufacturing at technology nodes below 7 nm (sub-7 nm). This technique allows precise control over the number of DSA-generated holes and their critical dimensions (CD) by manipulating the guiding template geometry and size. The results indicate that DSA quadruple-hole multiplication patterns aligned top-bottom and left-right, with a long-axis spacing of 55-65 nm and a short-axis spacing of 30-40 nm could be achieved through precisely designing template holes with long-axis dimension and short-axis dimension. The formed DSA pattern was successfully transferred to the underlying hard mask layer, creating a large-area quadruple-hole array with a CD of approximately 17 nm. A comprehensive investigation of guiding template size and morphology on multiplication hole patterning enhances the understanding of the self-assembly behavior in confined elliptical spaces. In conclusion, this work highlights the importance of optimizing guiding template size for contact hole multiplication in integrated circuit fabrication. © 2024 SPIE.

关键词： Self assembly

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Interference-assisted energy harvesting short packet communications with hardware impairments

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International Journal of Intelligent Networks 2024年第1期5卷 231-240页

作者： Chen, Dechuan Li, Jin Hu, Jianwei Zhang, Xingang Zhang, Shuai Wang, Dong College of Physics and Electronic Engineering Nanyang Normal University Nanyang473061 China Ministry of Education Nanjing210003 China National Key Laboratory for Complex Systems Simulation Beijing100101 China College of Computer Science and Technology Nanyang Normal University Nanyang473061 China

Radio frequency energy harvesting offers a promising solution to provide low power Internet of Things (IoT) devices with convenient and perpetual energy supply. In this work, we investigate the reliable performance of an energy-constrained transmitter communicating with a receiver over Nakagami-m channel, where the effects of transceiver hardware impairments and finite blocklength coding are jointly considered. Specifically, the communication link between the transmitter and receiver operates within the coverage of an existing wireless system, with radio frequency signal from the existing system serving as an energy signal for the transmitter while acting as an interference signal for the receiver. By utilizing the finite-blocklength information theory, we first derive average block error rate (BLER) and asymptotic average BLER in closed-form expressions, which enable us to quantify the extent of reliability loss. Then, we analyze effective throughput of the system, and determine the optimal blocklength that maximizes the effective throughput. Computer simulations are employed to validate the accuracy of our analytical findings, demonstrating the presence of an outage threshold solely due to hardware impairments. Furthermore, if transmission rate exceeds the outage threshold defined by the level of hardware impairments, reliable communication within the system under consideration cannot be achieved, regardless of the transmit signal-to-noise ratio (SNR). © 2024 The Authors

关键词： Energy harvesting

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