DiReDi: Distillation and Reverse Distillation for AIoT Applications by Chen Sun, Qiang Tong, Wenshuang Yang, Wenqi Zhang

“…In the initial step, an edge-AI model is trained with presumed data and a knowledge distillation (KD) process using the cloud AI model in the upper management cloud server. …”
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Joint Distributed Computation Offloading and Radio Resource Slicing Based on Reinforcement Learning in Vehicular Networks by Khaled A. Alaghbari, Heng-Siong Lim, Charilaos C. Zarakovitis, N. M. Abdul Latiff, Sharifah Hafizah Syed Ariffin, Su Fong Chien

“…A distributed system offers a more attractive solution, allowing each MEC server to process data locally and make offloading decisions without sharing sensitive information. …”
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High-speed railway track components inspection framework based on YOLOv8 with high-performance model deployment by Youzhi Tang, Yu Qian

“…The deployment of this pipeline, implemented using C++, TensorRT, float16 quantization, and oneTBB, represents a significant departure from traditional sequential processing methods. The results are remarkable, showcasing a substantial increase in processing speed: from 38.93 Frames Per Second (FPS) to 281.06 FPS on a desktop system equipped with an Nvidia RTX A6000 GPU and from 19.50 FPS to 200.26 FPS on the Nvidia Jetson AGX Orin edge computing platform. …”
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Blockchain-Empowered UAV-Assisted Computation Resource Allocation in Smart Farm Services Platform by Sida Huang, Matilda Isaac, Yuan Gao, Yuji Dong, Jie Zhang, Bintao Hu

“…In recent years, blockchain, U2X communications, and mobile edge computing will gradually become the main technologies of future academia and industry to overcome the aforementioned challenges for the UAV-assisted IoT system networks, while guaranteeing user data collection, data processing, and privacy-preserving requirements. …”
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Wireless Sensor Networks in Environmental Monitoring Applications Challenges and Future Directions by R Suganya, P Balaramesh, S Kannadhasan, V Chandrasekhar, S R Arun Raj, R Dhilipkumar

“…Chivalry: Signal Processing for WMSNs Humanoid vertical lace up boot where the lacing up shoes are made of suede or synthetic leather. …”
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Electromagnetic signal modulation recognition technology based on lightweight deep neural network by Sicheng ZHANG, Yun LIN, Ya TU, Shiwen Mao

“…In response to the trend that in the 6th generation wireless (6G) era,mobile communications and artificial intelligence will be closely integrated,and a huge number of edge intelligent signal processing nodes will be deployed,an efficient and intelligent electromagnetic signal recognition model was proposed,which could be deployed on resource-constrained edge devices.The constellation diagram of electromagnetic signal was firstly drawn to visualize electromagnetic signal as a two-dimensional image,and color the constellation diagram according to the normalized point density to achieve feature enhancement.Then,a binary deep neural network was adopted to recognize the colored constellation diagrams.It was shown that the approach can guarantee a high recognition accuracy,which significantly reduced the model storage and calculation costs.For verification,the proposed approach was applied to the problem of electromagnetic signal modulation recognition.The experiment uses eight commonly used digital modulation signals and selects additive white Gaussian noise as the channel environment.The experimental results show that the scheme can achieve a comprehensive recognition rate of 96.1% under the noise condition of -6～6 dB,while the size of the network model is only 166 KB.Further,the execution time,when executed on a Raspberry Pi 4B,is only 290 ms.Compared to a full-precision network of the same scale,the accuracy is increased by 0.6%,the model is reduced to <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML"> <mfrac> <mtext>1</mtext> <mrow> <mtext>26</mtext><mo>.…”
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Artificial Vision Systems for Mobility Impairment Detection: Integrating Synthetic Data, Ethical Considerations, and Real-World Applications by Santiago Felipe Luna-Romero, Mauren Abreu de Souza, Luis Serpa Andrade

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Enhancing Security for Resource-Constrained Smart Cities IoT Applications: Optimizing Cryptographic Techniques with Effective Field Multipliers by Atef Ibrahim, Fayez Gebali

“…However, the pervasive distribution of Internet of things (IoT) apparatuses introduces substantial security risks, attributable to the confidential nature of processed data and the heightened susceptibility to cybernetic intrusions targeting essential infrastructure. …”
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Image Coding for Object Recognition Tasks Based on Contour Feature Learning With Flexible Object Selection by Takahiro Shindo, Taiju Watanabe, Yui Tatsumi, Hiroshi Watanabe

“…In particular, ICM is increasingly seen as essential for collaborative systems between edge devices and cloud AI. Since large AI models are challenging to deploy on edge devices, cloud AI services are made available to edge users, who can utilize them by transmitting images to the cloud. …”
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Understanding the Dynamics of Knowledge Building Process in Online Knowledge-Sharing Platform: A Structural Analysis of Zhihu Tag Network by Yongning Li, Lun Zhang, Ye Wu

“…Based on the preference attachment, the triadic closure mechanism is employed to construct the edges between the old nodes, which revises the limitation that the BA model only connects edges between old and new nodes. …”
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Investigation of the Laser Material Interaction of Lithium Copper Foils Under Different Process Gases for All-Solid-State Batteries by Lars O. Schmidt, Houssin Wehbe, Sven Hartwig, Maja W. Kandula

“…Laser cutting, as a contactless process, is possible under a defined drying room atmosphere. …”
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ANALYSIS OF A DECADE OF STUDENT GRADES IN THE ELECTRICAL ENGINEERING DEPARTMENT AT SHARIF UNIVERSITY OF TECHNOLOGY USING GRAPH SIGNAL PROCESSING by Amirhossein Golshirazi, Reza Parhizkar, Arash Amini, Mohammad Mahdi Omati

“…In this research, we examine the academic performance of students and identify patterns influencing their success or decline using graph signal processing tools. The study focuses on undergraduate students from the Department of Electrical Engineering at Sharif University of Technology during 2011-2021. …”
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Effects of Process Parameters on Geometrical Characteristics and Microstructure of TiC Particle-Reinforced Co50 Alloy by Laser Cladding by Nga Pham Thi-Hong

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Reasonable Intake and Exhaust Processes Scheduling of Two‐Stroke Free Piston Linear Generator for Intelligent New Energy Vehicles by Dequan Zeng, Jun Lu, Yiming Hu, Peizhi Zhang, Jinwen Yang, Qin Yu, Xiaoliang Wang

“…However, this structural innovation is a double‐edged sword, while having the advantages such as compact structure and short transfer path to reduce energy loss, it inevitably makes the stability of the system sensitive to the operating parameters of the intake and exhaust process, which is extremely easy to lead to instability shutdown or knock. …”
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Research of selective laser melting process and properties of Y2O3 dispersion strengthened high speed steel by Yan LIU, Dingguo ZHAO, Yue LI, Xiaojie CUI, Shuhuan WANG, Yuekai XUE

“…Experimental results show that after low-energy ball milling, the M2 high speed steel powder remains mostly spherical with minimal deformation, preventing uneven spreading during the powder laying process. The surface of M2 high speed steel powder is coated with a large number of nanometer-sized Y2O3 particles. …”
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Microstructure evolution and mechanical properties of high-strength 7075 aluminum alloy during multi-pass hot radial forging process by Chao Zhang, Kun Li, Shengdun Zhao, Ming Chang, Hong Jiang, Yongfei Wang, Yujian Ren, Dawei Zhang

“…In this study, a hot radial forging process comprising preheating, multi-pass radial forging, and T6 heat treatment, was implemented on 7075 aluminum alloy rods. …”
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Research on Visualization of Cylindrical Gear Hobbing Cutting Force and the Influence of Cutting Parameter on Hobbing Cutting Force by Xiaoqing Tian, Xinrong Zheng, Ruofeng Chen, Jiang Han, Lian Xia

“…According to the selected cutting force model，the instantaneous cutting force of a single cutting edge is calculated by using the cross-section size of undeformed chips model，and the overall cutting force process of hobbing is obtained. …”
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Degree Distribution of Evolving Network with Node Preference Deletion by Yue Xiao, Xiaojun Zhang

“…This study proposes a new evolutionary network model, which integrates node preference deletion and edge reconnection mechanisms and is also an extension of the existing evolutionary network model. …”
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Robustimizer: A graphical user interface application for efficient uncertainty quantification, robust optimization, and reliability-based optimization of processes and designs by Omid Nejadseyfi

“…The primary goal of this work is to provide easy-to-use and cutting-edge optimization software designed to handle uncertainties, intended for use in research and education. …”
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Early Warning of Abnormal Operating Modes via Feature Extraction from Cross-Section Frame at Discharge End for Sintering Process by Xinzhe Hao, Sheng Du, Xian Ma, Mengxin Zhao

“…Abnormal operating modes in the iron ore sintering process often lead to reduced productivity and inferior sinter quality. …”
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