SLFCNet: an ultra-lightweight and efficient strawberry feature classification network by Wenchao Xu, Yangxu Wang, Jiahao Yang

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Producing Sustainable Lightweight Geopolymer Concrete Using Waste Materials by Hilal Ameer A., Nader Awaz S., Kurji Badoor M.

Subjects: “…lightweight concrete…”
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The Use of Recycled Polyethylene in Water-Oil Emulsion for Lightweight Concrete by Emmanuel Nangor, Lucas N. W. Damoah, Ebenezer Annan, David Sasu Konadu, Bismark Mensah, Yaw Delali Bensah

“…This study was to determine the suitability of recycled waste polyethylene (WPE) processed into water-oil emulsion for lightweight concrete applications. The processed WPE in the form of polyethylene emulsion (PE-e) is to promote physical interaction between the polymeric material and the cementitious matrix. …”
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Lightweight marine biodetection model based on improved YOLOv10 by Wei Pan, Jiabao Chen, Bangjun Lv, Likun Peng

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Lightweight Design and Production Practice of the Heavy Truck Drive Axle by Yan Xiaolou, Qiu Yang, Li Youli

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LSKE: Lightweight Secure Key Exchange Scheme in Fog Federation by Yashar Salami, Vahid Khajehvand

“…Therefore, we have proposed a lightweight, secure key exchange scheme for the fog federation to reduce computational overhead. …”
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Towards edge-collaborative,lightweight and secure region proposal network by Jinbo XIONG, Renwan BI, Qianxin CHEN, Ximeng LIU

“…Aiming at the problem of image privacy leakage and computing efficiency in edge environment,a lightweight and secure region proposal network (SecRPN) was proposed.A series of secure computing protocols were designed based on the additive secret sharing scheme.Two non-collusive edge servers cooperate to perform calculation modules such as secure feature processing,secure anchor transformation,secure bounding-box correction,and secure non-maximum suppression.Theoretical analysis guarantees the correctness and security of SecRPN.The actual performance evaluation shows that SecRPN is outstanding in the computational cost and communication overhead compared with the existing works.…”
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Lightweight Adaptation of Classifiers to Users and Contexts: Trends of the Emerging Domain by Elena Vildjiounaite, Georgy Gimel’farb, Vesa Kyllönen, Johannes Peltola

“…Such applications have to adapt to a new user or unknown context at runtime just from interaction with the user, preferably in fairly lightweight ways, that is, requiring limited user effort to collect training data and limited time of performing the adaptation. …”
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A Lightweight Network with Domain Adaptation for Motor Imagery Recognition by Xinmin Ding, Zenghui Zhang, Kun Wang, Xiaolin Xiao, Minpeng Xu

“…This paper proposes an innovative method that combines a lightweight convolutional neural network (CNN) with domain adaptation. …”
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Ciphertext-only fault analysis of the TWINE lightweight cryptogram algorithm by Wei LI, Menglin WANG, Dawu GU, Jiayao LI, Tianpei CAI, Guangwei XU

Subjects: “…lightweight cryptogram…”
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Lightweight multi-coupon system for multi-merchant environments with DAA by Xin LIU, Qiu-liang XU, Bo ZHANG

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Sensor Relocation Technique Based Lightweight Integrated Protocol for WSN by J. Joy Winston, B. Balan Paramasivan

“…To address these serious issues, we proposed an efficient sensor relocation technique based lightweight integrated protocol (LIP). We have implemented and studied thoroughly our proposed work. …”
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A lightweight privacy-preserving truth discovery mechanism for IoT by Yingjie HE, Qiwei LI, Han SUN, Di GAO, Jianfeng DONG, Shuhua YANG

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Integrated Lightweight Composites and Structures with Multifunctional Properties for Engineering Application by Rujie He, Kai Wei, Bing Zhang

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Lightweight opportunistic routing forwarding strategy based on Markov chain by Feng LI, Ya-li SI, Zhen CHEN, Li-min SHEN

“…A lightweight opportunistic routing forwarding strategy (MOR) was proposed based on Markov chain.In the scheme,the execute process of network was divided into a plurality of equal time period,and the random encounter state of node in each time period was represented by activity degree.The state sequence of a plurality of continuous time period constitutes a discrete Markov chain.The activity degree of encounter node was estimated by Markov model to predict its state of future time period,which can enhance the accuracy of activity degree estimation.Then,the method of comprehensive evaluating forwarding utility was designed based on the activity degree of node and the average encounter interval.MOR used the utility of node for making a routing forwarding decision.Each node only maintained a state of last time period and a state transition probability matrix,and a vector recording the average encounter interval of nodes.So,the routing forwarding decision algorithm was simple and efficient,low time and space complexity.Furthermore,the method was proposed to set optimal number of the message copy based on multiple factors,which can effectively balance the utilization of network resources.Results show that compared with existing algorithms,MOR algorithm can effectively increase the delivery ratio and reduce the delivery delay,and lower routing overhead ratio.…”
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Lightweight Design of Reducer Housing of Large-sized Bridge Crane by Xiao Weizhong, Zhang Yanshan, Yan Shidang, Yu Feipeng, Zhi Yanfeng

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Towards edge-collaborative, lightweight and privacy-preserving classification framework by Jinbo XIONG, Yongjie ZHOU, Renwan BI, Liang WAN, Youliang TIAN

“…Aiming at the problems of data leakage of perceptual image and computational inefficiency of privacy-preserving classification framework in edge-side computing environment, a lightweight and privacy-preserving classification framework (PPCF) was proposed to supports encryption feature extraction and classification, and achieve the goal of data transmission and computing security under the collaborative classification process of edge nodes.Firstly, a series of secure computing protocols were designed based on additive secret sharing.Furthermore, two non-collusive edge servers were used to perform secure convolution, secure batch normalization, secure activation, secure pooling and other deep neural network computing layers to realize PPCF.Theoretical and security analysis indicate that PPCF has excellent accuracy and proved to be security.Actual performance evaluation show that PPCF can achieve the same classification accuracy as plaintext environment.At the same time, compared with homomorphic encryption and multi-round iterative calculation schemes, PPCF has obvious advantages in terms of computational cost and communication overhead.…”
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Lightweight Detection and Counting of Maize Tassels in UAV RGB Images by Hang Yang, Jiaji Wu, Yi Lu, Yuning Huang, Pinwei Yang, Yurong Qian

“…In response to these challenges, we propose DLMNet, a lightweight network based on the YOLOv8 framework. DLMNet features: (1) an efficient channel and spatial attention mechanism (ECSA) that suppresses high sunlight reflection noise and enhances details under low sunlight conditions, and (2) a dynamic feature fusion module (DFFM) that improves tassel recognition through dynamic fusion of shallow and deep features. …”
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Lightweight Design of Drive Axle Housing based on OptiStruct by Xiaofei Song, Ronghui Lin, Shuaichao Li, Yunfa Qiao, Yulong Ji, Juan Deng, Zhitian Guo

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Impact of Various Types of Fibres on the Mechanical Properties of Lightweight Concrete by Karem Saja T.Abd Al, Al-Asadi Ali K.

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