Performance of Finite Precision on Discrete Chaotic Map Based on a Feedback Shift Register by Chunguang Huang, Qun Ding

“…The scintillating technological improvements have changed the process of communication in all parts of the world. …”
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HIL Automatic Test System Design for the Host Software of LKJ-15C System by HE Xiezhen, ZHOU Zhifei, JIANG Jian

“…To overcome the problems of high workload, low efficiency and difficult recurrence of the manual test process for LKJ-15C host software, a novel automatic test system is proposed based on HIL simulation technology and test script technology. …”
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Type-2 Neutrosophic Sets (T2NSs) for Quality Evaluation of Project-Based Art and Design Courses: Evaluation Seven Projects by Ruijuan Zhang

“…Conflicting objectives for alternatives must be valued in a decision-making process, and the optimal option must be chosen based on the decision-makers requirements. …”
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Deriving structure from evolution: metazoan segmentation by Paul François, Vincent Hakim, Eric D Siggia

“…We evolved in silico regulatory networks by a mutation/selection process that just rewards the number of segment boundaries. …”
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Research on Trajectory Planning of Fermented Grains Grasping Mechanical Arms by Xuan Liu, Zhaomin Wu, Chang Wang, Jianhua Zhang

“…On the premise of satisfying the operating performance of the manipulator， the computational difficulty of each grasping planning is reduced. …”
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Low-Complexity Saliency Detection Algorithm for Fast Perceptual Video Coding by Pengyu Liu, Kebin Jia

“…The simulation results validate that the proposed algorithm can avoid a large amount of computation work in the visual perception characteristics analysis processing compared with other existing algorithms; it also has better performance in saliency detection for videos and can realize fast saliency detection. …”
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Unsupervised feature selection algorithm based on L 2,p-norm feature reconstruction. by Wei Liu, Qian Ning, Guangwei Liu, Haonan Wang, Yixin Zhu, Miao Zhong

“…Traditional subspace feature selection methods typically rely on a fixed distance to compute residuals between the original and feature reconstruction spaces. …”
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Lessons Learned from EVALITA 2020 and Thirteen Years of Evaluation of Italian Language Technology by Lucia C. Passaro, Maria Di Maro, Valerio Basile, Danilo Croce

“…This paper provides a summary of the 7th Evaluation Campaign of Natural Language Processing and Speech Tools for Italian (EVALITA2020) which was held online on December 17th, due to the 2020 COVID-19 pandemic. …”
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AirGPT: pioneering the convergence of conversational AI with atmospheric science by Jun Song, Chendong Ma, Maohao Ran

“…Through a novel architecture combining natural language processing and domain-specific analytical tools, AirGPT achieved higher accuracy in air quality assessments compared to standard LLMs, including GPT-4o. …”
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Review of image classification based on deep learning by Fu SU, Qin LV, Renze LUO

“…In recent years,deep learning performed superior in the field of computer vision to traditional machine learning technology.Indeed,image classification issue drew great attention as a prominent research topic.For traditional image classification method,huge volume of image data was of difficulty to process and the requirements for the operation accuracy and speed of image classification could not be met.However,deep learning-based image classification method broke through the bottleneck and became the mainstream method to finish these classification tasks.The research significance and current development status of image classification was introduced in detail.Also,besides the structure,advantages and limitations of the convolutional neural networks,the most important deep learning methods,such as auto-encoders,deep belief networks and deep Boltzmann machines image classification were concretely analyzed.Furthermore,the differences and performance on common datasets of these methods were compared and analyzed.In the end,the shortcomings of deep learning methods in the field of image classification and the possible future research directions were discussed.…”
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Application of Revit Secondary Development in Sluice Seepage Calculation by NIU Lijun, LI Yihao

“…Based on the concept of forward design,this paper uses C# language to abstract and package the traditional seepage calculation method (improved resistance coefficient method) and redevelops AutoRevit through Revit API interface programming.As a result,the visual interactive analysis process of sluice seepage calculation is achieved so that the design of sluice anti-seepage measures can realize forward design based on a three-dimensional model.In this paper,a regulating sluice is taken as an example for verification,and the results are compared with those calculated by AutoBank software.The results show that the plug-in has high accuracy and efficiency and realizes the highly visual sluice seepage calculation and low-difficulty human-computer interaction.At the same time,it has the function of instantly judging the results according to the specification.The plug-in not only expands the function of BIM technology but also facilitates designers in the water conservancy industry.In addition,it provides certain technical references for further expanding the deep application of BIM technology in water conservancy design.…”
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High-speed hardware architecture design and implementation of Ed25519 signature verification algorithm by Yiming XUE, Shurong LIU, Shuheng GUO, Yan LI, Cai’e HU

“…Aiming at the high performance requirements of signature verification for specific scenarios such as blockchain, a high-speed hardware architecture of Ed25519 was proposed.To reduce the number of calculations for point addition and point double, a multiple point multiplication algorithm based on interleaving NAF was conducted by using pre-computation and lookup tables.The modular multiplication operation was realized by using the Karatsuba multiplication and fast reduction method, and the point addition and point double operation was designed without modular addition and subtraction, which could effectively improve the performance of point addition and point double.Given that modular exponentiation was the most time-consuming operation in the decompression process, a new modular exponentiation approach was developed by parallelizing modular inverse and modular multiplication, and therefore the performance of the de-compression operation could be improved.The proposed architecture fully considers the use of resources and is implemented on the Zynq-7020 FPGA platform with 13 695 slices, achieving 8 347 verifications per second at 81.6 MHz.…”
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Development of a transdisciplinary education concept to prepare textile technology students for dealing with AI by Lennart Hellweg, Johanna Bulthaupt, Alen Tabakovic, Mathias Beer

“…The goal in the Faculty of Textile and Clothing Technology is to train specialists in the use of AI in the textile process chain. Students will learn how to classify image data of fibers based on a practical example. …”
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Theory of Electron-Phonon Interactions in Extended Correlated Systems Probed by Resonant Inelastic X-Ray Scattering by Jinu Thomas, Debshikha Banerjee, Alberto Nocera, Steven Johnston

“…Despite the growing importance of this area of research, the community lacks a complete understanding of how the RIXS process excites the lattice and how these excitations encode information about the e-ph interactions. …”
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Formal Verification of Multi-Thread Minimax Behavior Using mCRL2 in the Connect 4 by Diego Escobar, Jesus Insuasti

“…The parallel version of minimax distributes computations across multiple threads, with each thread evaluating different successor states concurrently. …”
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Sinkhole attack detection based on fusion of ACO and P2P trust model in WSN by Wumaier HENIGULI

“…Finally，P2P trust model was used to compute trust value of each suspicious node，and the node with trust value was lower than the preset threshold as invasion of node. …”
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Occlusion‐robust markerless surgical instrument pose estimation by Haozheng Xu, Stamatia Giannarou

“…To deal with partial instrument visibility, a keypoint object representation is used and stable and accurate instrument poses are computed using a PnP solver. To boost the learning process of the model under occlusion, a new mask‐based data augmentation approach has been proposed. …”
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Analysis for Industrial Grid Containing Nonlinear Loads by Basim Mohammed Al Kadhimi

“…Harmonics comes from different non-linear loads like uninterruptible power supplies systems (UPS), variable speed motor drives, rectifiers, personal computers, adjustable speed drives, fluorescent lighting, rectifier banks, data processing loads, arc furnaces, and so on. …”
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Modern Adaptive and Intelligent Digital Learning Systems: Mechanisms and Potential by Konstantin A. Skvorchevsky, Olga V. Dyatlova

“…In particular, it explores human-computer interaction in both individual and group formats, involving both students and teachers. …”
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Knowledge reasoning with multiple relational paths by Hang Su, Huangcan Li, Dun Li

“…Secondly, the loss function and training process of NSPN are introduced. Finally, comparative experiments are carried out on the public dataset, and the results show that our model is superior to other models in relation prediction tasks and link prediction tasks, improves the computational efficiency and data sparsity, and provides a new idea for knowledge reasoning methods.…”
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