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2023 4th International Conference on Control, Robotics and Intelligent System, CCRIS 2023

作者： Gan, Jianhong Wang, Liping Liu, Zhiming Wang, Jiayun School of Software Engineering Chengdu University of Information Technology Chengdu China

ISBN: (纸本)9798400708190

Effective suppression of speckle noise in ultrasound images is of great significance for improving image quality and clinical diagnostic analysis. The traditional edge enhancement nonlinear coherent diffusion (EENCD) and multi-scale filtering based on pyramid transformation are not obvious enough for the subtle features after the image is denoised. Since the super-resolution deep learning model SRGAN can restore more realistic texture details of the image, this attempt is made to improve the traditional Laplace pyramid, and the 2x magnification factor reconstruction image of the SRGAN model is used to replace the upsampling of the Laplace pyramid reconstruction stage, and the EENCD method is still used on the Laplace pyramid to suppress the image speckle. By comparing this method with the traditional method in the simulation image and the real ultrasound image, the experimental results show that the proposed method is superior to the original algorithm in terms of structure, edge protection and noise suppression. © 2023 ACM.

关键词： Speckle

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Fast feature selection algorithm of EEG data based on convolutional neural network 6

Fast feature selection algorithm of EEG data based on convol...

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6th International Conference on Intelligent Control, Measurement and Signal Processing, ICMSP 2024

作者： Liu, Bin Cao, Liming Fang, Tianke Xiamen University of Technology School of Software Engineering Xiamen China Mapua University School of Information Technology Manila Philippines Xiamen University of Technology School of Computing and Information Engineering Xiamen China

ISBN: (纸本)9798331516550

Electroencephalography (EEG) data is invaluable for investigating EEG physiology, neuroscience and clinical medicine. However, EEG signals are characterized by temporal nature, high dimensionality, and noise, which make it difficult for traditional feature selection methods for EEG data to extract useful information effectively with high computational effort. To solve this problem, this paper proposed a fast feature selection algorithm for multichannel EEG data based on a convolutional neural network (FFSEEG-GNN). Specifically, the algorithm pre-processes the multichannel EEG data, then extracts the waveform features and builds a CUDA architecture using GPUs to convolutional neural network operations. Finally, the most representative subset of features is selected in order of feature importance and feature extraction is performed. In addition, the simulation comparison experiment proves that the algorithm achieves 92.60% in terms of precision rate. Therefore, the program has accurate feature selection capability, which is expected to play an essential role in clinical medicine. © 2024 IEEE.

关键词： Convolutional neural networks

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Research on IPFS resource retrieval system based on inverted index 4

Research on IPFS resource retrieval system based on inverted...

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4th International Conference on Machine Learning and Computer Application, ICMLCA 2023

作者： Shi, Lin Lu, Jun College of Software Engineering Chengdu University of Information Technology Chengdu China

ISBN: (纸本)9798400709449

In recent years, the spread of epidemics has prompted many industries to explore online services. The Inter Planetary File System (IPFS), as a peer-to-peer network-based protocol, this paper proposes a system architecture that adopts the idea of functional separation. Specifically, the retrieval nodes and data nodes are designed in separate clusters, and an inverted index is used in the retrieval cluster to improve the query speed of the index table, thereby optimizing the query process. © 2023 ACM.

关键词： Peer to peer networks

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Multi-Hop Transmission Method of 5G Millimeter Wave Relay Based on Network Coding

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China Communications 2022年第12期19卷 14-26页

作者： Yilin Wang Weisheng He Xuwei Fan Lianfen Huang Jie Yang Yuliang Tang School of Information Xiamen UniversityXiamen 361005China Department of Software Engineering Xiamen Institute of Software TechnologyXiamen 361005China

With the rapid development of the Internet technology,millimeter wave(mmWave)will be used as a supplement to 5G low frequency bands to meet the extremely high system capacity requirements of 5G in hot *** 5G mmWave communication can adapt to the needs of 5G network and carry a large amount of transmitted data,transmission stability has become one of the key technical issues of 5G network mmWave communication due to problems such as strong attenuation and poor penetration of *** order to improve the efficiency of the mmWave multi-hop transmission,we propose a 5G mmWave multi-hop transmission method based on network coding,which can adapt to the current wireless network environment,improve spectrum efficiency and increase network *** on MATLAB simulation experiments,it is verified that the proposed method can greatly improve the transmission efficiency and reduce the signal loss under the premise of ensuring the accurate signal transmission.

关键词： 5G network millimeter wave relay multihop communication network coding

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Requirements Elicitation for Virtual Reality Products - A Mapping Study 23

Requirements Elicitation for Virtual Reality Products - A Ma...

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16th Innovations in software engineering Conference, ISEC 2023

作者： Karre, Sai Anirudh Mittal, Raghav Reddy, Raghu Software Engineering Research Center International Institute of Information Technology India

ISBN: (纸本)9798400700644

software practitioners use various requirement elicitation methods to produce a well-defined product. These methods impact the software product's eventual traits and target a particular audience segment. Virtual Reality(VR) products are no different from this influence. With the notable rise in product offerings across various domains, VR has become an essential technology for the future. Nevertheless, the type of methods practiced for requirement elicitation still has not been thoroughly studied. This paper presents a mapping study on requirement elicitation methods practiced by VR practitioners in academia and industry. We consolidated our observations based on their popularity in the practitioner community. Further, we present our insights on the necessary and sufficient conditions to conduct VR requirement elicitation using the identified methods to benefit the VR practitioner community. © 2023 ACM.

关键词： Virtual reality

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An Efficient and Provably Secure SM2 Key-Insulated Signature Scheme for Industrial Internet of Things

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Computer Modeling in engineering & Sciences 2024年第1期138卷 903-915页

作者： Senshan Ouyang Xiang Liu Lei Liu Shangchao Wang Baichuan Shao Yang Zhao School of Mechanical Engineering Northwestern Polytechnical UniversityXi’anChina Department of Process and Information Technology Chengdu Aircraft Industrial(Group)Co.Ltd.ChengduChina School of Information and Software Engineering The Network and Data Security Key Laboratory of Sichuan ProvinceUniversity of Electronic Science and Technology of ChinaChengduChina

With the continuous expansion of the Industrial Internet of Things(IIoT),more andmore organisations are placing large amounts of data in the cloud to reduce ***,the channel between cloud servers and smart equipment is not trustworthy,so the issue of data authenticity needs to be *** SM2 digital signature algorithm can provide an authentication mechanism for data to solve such ***,it still suffers from the problem of key *** order to address this concern,this study first introduces a key-insulated scheme,SM2-KI-SIGN,based on the SM2 *** scheme boasts strong key insulation and secure *** scheme uses the elliptic curve algorithm,which is not only more efficient but also more suitable for IIoT-cloud ***,the security proof of SM2-KI-SIGN is given under the Elliptic Curve Discrete Logarithm(ECDL)assumption in the random oracle.

关键词： Key-insulated SM2 algorithm digital signature Industrial Internet of Things(IIoT) provable security

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Audio-to-Score Conversion Model Based on Whisper Methodology 9

Audio-to-Score Conversion Model Based on Whisper Methodology

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9th IEEE International Conference on Progress in Informatics and Computing, PIC 2024

作者： Zhang, Hongyao Sun, Bohang College of Information Science and Engineering East China University of Science and Technology Shanghai China School of Information and Software Engineering University of Electronic Science and Technology of China Chengdu China

ISBN: (纸本)9798350363203

This thesis develops a Transformer model based on Whisper, which extracts melodies and chords from music audio and records them into ABC notation. A comprehensive data processing workflow is customized for ABC notation, including data cleansing, formatting, and conversion, and a mutation mechanism is implemented to increase the diversity and quality of training data. This thesis innovatively introduces the 'Orpheus' Score', a custom notation system that converts music information into tokens, designs a custom vocabulary library, and trains a corresponding custom tokenizer. Experiments show that compared to traditional algorithms, the model has significantly improved accuracy and performance. While providing a convenient audio-to-score tool for music enthusiasts, this work also provides new ideas and tools for research in music information processing. © 2024 IEEE.

关键词： Network security

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Dialog generation for Arabic chatbot

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International Journal of information technology (Singapore) 2024年第2期16卷 881-890页

作者： Youness, Farida Madkour, Mohamed Ashraf Elshenawy, Ayman Computers and Systems Department Al-Azhar University Cairo Egypt Software Engineering and Information Technology Department Faculty of Engineering and Technology Egyptian Chinees University Cairo Egypt

Dialogue generation systems (DGS) is an important topic in the field of Natural Language Processing (NLP). It enables a wide range of real-world applications to interact with humans in various languages naturally and intelligently. Due to the complexity of the Arabic language, the development of an Arabic DGS is a challenge. In this paper, an Arabic DGS is developed using a sequence-to-sequence (Seq2Seq) framework comprised of Long-Short Term Memory (LSTM). A dataset of 12k conversations is translated from English to Arabic for the development process. The proposed DGS is analyzed, and its effectiveness is assessed using the Bilingual Evaluation Understudy (BLEU) score. The TensorFlow deep learning framework is used to test the proposed DGS. Also, the proposed DGS is tested and compared with a recently developed DGS. The Experiments revealed that the proposed Arabic DGS is effective in eliciting positive responses, with a BLEU score of 0.5988. © The Author(s), under exclusive licence to Bharati Vidyapeeth's Institute of Computer Applications and Management 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s);author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

关键词： Artificial intelligence Chatbot Deep learning Dialogue generation Natural language preprocessing Seq2Seq

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Liver cutting algorithm based on virtual plane 23

Liver cutting algorithm based on virtual plane

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2023 4th International Conference on Control, Robotics and Intelligent System, CCRIS 2023

作者： Gan, Jianhong Wang, Ziyu Wang, Jiayun School of Software Engineering Chengdu University of Information Technology Chengdu China

ISBN: (纸本)9798400708190

At present, the algorithm for virtual liver cutting requires a lot of computation, has poor real-time performance, and is easy to produce degenerated triangle and deformed triangle, and the physical characteristics are lost during the cutting process. In this paper, a virtual plane cutting method based on collision detection is proposed. The position of virtual tool and virtual liver is obtained through collision detection. At the same time, the triangular surface of the model is optimized according to delauney characteristics, and the degenerated triangle and deformed triangle are eliminated, so that the physical characteristics of virtual liver are closer to the real situation. The construction and optimization of the cutting surface were studied. The cutting surface could be generated in real time during the cutting process, and the refresh rate in the experiment was up to 297Hz on average. The comparison between this method and the ordinary method shows that the method proposed in this paper has good real-time performance and stability, can effectively eliminate the degenerate triangle, and effectively improve the authenticity and physical characteristics of the cutting simulation. © 2023 ACM.

关键词： Cutting tools

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Optimizing beyond boundaries: empowering the salp swarm algorithm for global optimization and defective software module classification

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Neural Computing and Applications 2024年第30期36卷 18727-18759页

作者： Kassaymeh, Sofian Al-Betar, Mohammed Azmi Rjoubd, Gaith Fraihat, Salam Abdullah, Salwani Almasri, Ammar Software Engineering Department Faculty of Information Technology Aqaba University of Technology Aqaba Jordan College of Engineering and Information Technology Ajman University Ajman United Arab Emirates Department of Information Technology Al-Huson University College Al-Balqa Applied University Irbid Jordan Concordia Institute for Information Systems Engineering Concordia University Montreal Canada Artificial Intelligence Department Faculty of Information Technology Aqaba University of Technology Aqaba Jordan Data Mining and Optimization Research Group Center for Artificial Intelligence Technology Universiti Kebangsaan Malaysia Bangi Malaysia Management Information Systems Department Al-Balqa Applied University Amman Jordan

This work presents a new version of the salp swarm optimizer (SSA), called "mSSA," that uses complex mathematical expressions to dynamically manipulate the crucial control parameter (c1) during optimization. These expressions are carefully designed to modulate the shift in search strategy from exploratory to exploitative, improving the flexibility and speed of convergence of the algorithm. To evaluate the performance of the developed mSSA variants, a thorough examination is carried out on twenty-three benchmark test functions alongside their application to the complex task of software module classification. The process of classifying defective software modules involves developing a multilayer perceptron (MLP) classifier that is suited to the particular complexity and heterogeneity of the task. Selecting the best optimizer is made easier by systematically evaluating the different mSSA versions as MLP classifier trainers. Based on metrics like classification accuracy, convergence speed, and avoidance of local minima, a comparative analysis in opposition to six previously published metaheuristic optimizers shows that mSSA3, when combined with the developed MLP classifier, outperforms both other mSSA variations and state-of-the-art metaheuristic optimizers in terms of overall performance. The excellent classification accuracy, swift convergence, and ability to avoid local minima of mSSA3 highlight its superiority and establish it as a cutting-edge method in the application of metaheuristic algorithms. © The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2024.

关键词： Global optimization

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