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检索条件"任意字段=2022 3rd International Conference on Signal Processing and Computer Science, SPCS 2022"

共 759 条记录，以下是201-210 订阅

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On the Errors in Code-Mixed Tamil-English Offensive Span Identification 3

On the Errors in Code-Mixed Tamil-English Offensive Span Ide...

引用

3rd Workshop on Speech and Language Technologies for Dravidian Languages, DravidianLangTech 2023

作者： Ravikiran, Manikandan Chakravarthi, Bharathi Raja Georgia Institute of Technology AtlantaGA United States School of Computer Science University of Galway Ireland

ISBN: (纸本)9789544520854

In recent times, offensive span identification in code-mixed Tamil-English language has seen traction with the release of datasets, shared tasks, and the development of multiple methods. However, the details of various errors shown by these methods are currently unclear. This paper presents a detailed analysis of various errors in state-of-the-art Tamil-English offensive span identification methods. Our study reveals the strengths and weaknesses of the widely used sequence labeling and zero-shot models for offensive span identification. In the due process, we identify data-related errors, improve data annotation and release additional diagnostic data to evaluate models’ quality and stability. Disclaimer: This paper contains examples that may be considered profane, vulgar, or offensive. The examples do not represent the views of the authors or their employers/graduate schools towards any person(s), group(s), practice(s), or entity/entities. Instead, they emphasize the complexity of various errors and linguistic research challenges. © DravidianLangTech 2023 - 3rd Workshop on Speech and Language Technologies for Dravidian Languages, associated with 14th international conference on Recent Advances in Natural Language processing, RANLP 2023 - Proceedings.

关键词： Errors

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Research on Question Matching of Operation System FAQ with Knowledge Graph and Image Information 3

Research on Question Matching of Operation System FAQ with K...

引用

2022 3rd international conference on computer Information and Big Data Applications, CIBDA 2022

作者： Zhao, Haomin Liu, Yu Gu, Jinguang College of Computer Science and Technology Wuhan University of Science and Technology Hubei Wuhan China Key Laboralory of Intelligent Information Processing and Real-time Industrial System in Hubei Province Hubei Wuhan China Institute of Big Data Science and Engineering Wuhan University of Science and Technology Hubei Wuhan China

ISBN: (纸本)9783800758760

The FAQ system is to match the questions asked by the user with the questions in the FAQ library, and subsequently return the answers to the questions according to the smenatic similarity between questions. The existing matching methods of question pair are not specially designated for the OS domain and do not incorporate domain knowledge. The screenshots of Operating System provided by user usually contain important information, which can be uesed to improve the effectiveness of question matching method. In this paper, we evaluate the important of text in image with the highlighted evaluation, location evaluation, and text evaluation, and filter out important text for question matching. In order to use knowledge of Operation System, we introduce a pretraining model incorporating the domain knowledge that can be used for problem matching. In the experiment, the method with knowledge graph and image information can fully improve the accuracy rate, recall rate and F1 score of the matching reuslts compared to the mainstream method. © VDE VERLAG GMBH - Berlin - Offenbach.

关键词： Domain Knowledge

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Invading Deep Neural Information Management Systems by Adaptive Multi-Gradient Based Method 3

Invading Deep Neural Information Management Systems by Adapt...

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3rd international conference on computer science and Management Technology, ICCSMT 2022

作者： Wang, Pian Xiao, Yatie Jiang, Jingyu Guangdong Innovative Technical College Management School Dongguan China Guangzhou University School of Computer Science and Cyber Engineering Guangzhou China

ISBN: (纸本)9798350320404

The applications of deep learning have been widely employed in many specific domains (e.g., computer vision and language processing). The research on the security and privacy of deep neural networks (DNNs) has drawn much attention related to adversarial attacks and defense on DNNs. To provide a simple yet effective adversarial learning resource for building adversarial security, we formulate imperceptible adversarial perturbations in an adaptive multi-gradient learning manner, which calls a few adaptive operators on gradient-based terms. First, the proposed work searches for the input gradient based on the source representation in deep neural models. Then, fusing three adaptive gradient-based mechanisms to form the perturbed terms, which improves the capability of the generated samples to search the decision boundaries between original and adversarial domains directly. We compare the proposed work to other gradient-based adversarial attack methods in fooling convolutional neural networks in the field of computer vision. Experimental results reveal that adversarial examples generated by the introduced approach show surpassing effectiveness in fooling deep neural networks. It manifests fewer pixel changes in generated adversarial examples both on and norm constraints with specific attack strategies, respectively. © 2022 IEEE.

关键词： Deep neural networks

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A Proposed Siamese Convolutional Neural Network for Fingerprint Recognition 3

A Proposed Siamese Convolutional Neural Network for Fingerpr...

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2022 3rd international conference on computer Information and Big Data Applications, CIBDA 2022

作者： Zhang, Lin Information Science and Technology College Donghua University Shanghai201620 China

ISBN: (纸本)9783800758760

In the past, the main way for fingerprint recognition was based on traditional image processing technology, which is timeconsuming and easy to fail. In order to recognize fingerprints more efficiently, in this experiment, the study proposed to use a method based on Siamese Network consisting of Convolutional Neural Network (CNN), which was seldom studied in the past. This experiment also is employed the idea of Multi-Scale Dilated Convolutions which can improve the receptive field and make each output of the Convolution contains a large amount of information. Dilated Convolutions introduces a hyper-parameter called dilation rate, which defines the spacing of values when Convolutional kernels process the data. This model added the three convolutional layers together which dilation rate equals 1, 2, 3 respectively to get dilated convolutions. This study input fingerprints and measured the similarity via output distance. The smaller the distance, the more similar the fingerprint and therefore it can judge if the fingerprints belong to the same person. The experimental results support this view. © VDE VERLAG GMBH - Berlin - Offenbach.

关键词： Convolution

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Research on several construction strategies of multilingual resource database 3

Research on several construction strategies of multilingual ...

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3rd international conference on computer science and Communication Technology, ICCSCT 2022

作者： Meng, Lingchun Kong, Shuying Li, Wenyue Cui, Lei Center of Network and Information Guangdong University of Foreign Studies Guangzhou China

ISBN: (纸本)9781510661240

In order to realize the effective use of information resources in different languages, it is necessary to establish a corresponding information resource database. Based on cross-language retrieval, this paper analyses the construction strategy of multilingual resource database, and takes language acquisition and processing as the perspective. The construction of the resource database provides a reference. In view of the construction of multilingual resource database, this paper makes an analysis from three aspects: resource collection and pre-processing, resource storage and retrieval, and multilingual translation technology, and summarizes its implementation methods. The collection, storage and retrieval of multilingual resources should adopt a distributed architecture. The resource library builds a language encoding and transcoding system for efficient collection and preprocessing of multiple languages. The translation between languages adopts machine translation technology mainly based on neural network machine translation. © 2022 SPIE.

关键词： computer aided language translation

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The Evaluation of Camouflage Based on Image Edge Contour Similarity 7

The Evaluation of Camouflage Based on Image Edge Contour Sim...

引用

7th international conference on Communication, Image and signal processing, CCISP 2022

作者： Zhou, Xian Zhu, Wenwen Liu, Fuyong Yang, Wei Chu, Miao Xi'An Technological University School of Art and Media Xi'an China Xi'An Technological University School of Mechatronic Engineering Xi'an China Northwest Institute of Mechanical and Electrical Engineering 3rd Research Department Xianyang China

ISBN: (数字)9781665459594

ISBN: (纸本)9781665459594

As the target moves in the background, the profile dislocation will be caused and the camouflage effect will be reduced following that. Aimed at the problem, the author in the research introduces a camouflage evaluation method that based on the similarity of the edge contour of the camouflage target. The research combines Sobel and Canny algorithm to extract the edge contour of the target, uses the Euclidean distance to calculate the similarity of target's edge contour to its background after camouflage, so as to judge the quality of the camouflage effect. Finally, the rationality of the method is verified by ranking and comparing six camouflage plans with different contours, which were calculated by edge contour similarity method and image discrimination method respectively. © 2022 IEEE.

关键词： Visualization Shape Image edge detection signal processing algorithms Euclidean distance signal processing Feature extraction

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Slope recognition based on human body surface EMG signal Using CNN 3

Slope recognition based on human body surface EMG signal Usi...

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3rd international conference on Electronic Communication and Artificial Intelligence, IWECAI 2022

作者： Ren, Weizhi Liu, Yali Song, Qiuzhi Deng, Hongbin The School of Mechatronical Engineering Beijing Institute of Technology Beijing China

ISBN: (纸本)9781665479974

In recent years, the development of intelligent exoskeleton robot technology has made considerable applications in the military and civilian fields. Accurate recognition of human motion patterns and compliant switching of control systems are technical difficulties to be solved in the field of intelligent exoskeleton. Convolutional neural networks (CNN) have achieved good applications in the fields of computer vision and speech recognition. Practice has proved that slope detection is an important part of human motion pattern recognition. However, few people are engaged in related research. In this paper, in view of the fact that the surface EMG signal is generated before the action and is similar to the audio signal, we introduce a slope-recognition method based on the raw surface EMG signal using CNN. Without using the other feature extraction and signal processing methods, we use short-time Fourier transform (STFT) to process the original EMG signal to generate a spectrogram as CNN input. As a result, compared with traditional machine learning algorithms, our method has a higher accuracy of 99.94%, which is vital for exoskeleton robots that directly interact with the human body due to safety and comfort. © 2022 IEEE.

关键词： Motion estimation

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Quantitative Analysis of Facial Paralysis Based on TCM Acupuncture Point Identification 3

Quantitative Analysis of Facial Paralysis Based on TCM Acupu...

引用

3rd IEEE international conference on Software Engineering and Artificial Intelligence, SEAI 2023

作者： Huang, Keding Li, Yanfei Zhu, Feiyu Sichuan University College of Computer Science Chengdu China

ISBN: (纸本)9798350337952

Traditional methods for recognizing facial palsy suffer from factors such as reliance on professional doctors and high subjectivity. Existing intelligent methods for detecting facial palsy mainly extract facial features and base their judgments on face asymmetry, but they cannot perform quantitative analysis of the degree of facial palsy. To address these limitations, we propose a novel approach to diagnose and quantitatively analyze facial palsy based on facial acupuncture point *** method involves identifying three sets of acupuncture points related to facial palsy by accessing an improved Resnet model after detecting, cropping, and pre-processing the input image. We then measure the intersection angle of the line connecting these points and the vertical line of the middle symmetry line of the face to achieve quantitative analysis and grading of the degree of facial nerve *** aim of our proposed model is to quantify and grade the degree of facial nerve damage. We compared our model with VGG and MobileNet frameworks, and the experimental results demonstrate that our proposed model is effective in acupoint recognition and has the lowest error in quantitative analysis, and the average angle error can be reduced to 4.5 degrees. By using facial acupuncture point recognition to diagnose and grade facial palsy, our method provides a more objective and accurate approach to assessing this condition. © 2023 IEEE.

关键词： Grading

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Dynamic Word Vector Based Sentiment Analysis for Microblog Short Text 3

Dynamic Word Vector Based Sentiment Analysis for Microblog S...

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3rd international conference on Pattern Recognition and Machine Learning, PRML 2022

作者： Peiliang, Zhang Ablimit, Mijit Yilahun, Hankiz Hamdulla, Askar Xinjiang University Xinjiang Key Laboratory of Signal Detection and Processing School of Information Science and Engineering Urumqi China Xinjiang University Xinjiang Key Laboratory of Multilingual Information Technology School of Information Science and Engineering Urumqi China

ISBN: (数字)9781665499507

ISBN: (纸本)9781665499507

Aiming at the disadvantage of static word vector model to the problem of polysemy of words, a model based on dynamic word vector and two-way GRU neural network combined with attention mechanism is proposed to recognize emotion of microblog short text comments, which is helpful to analyze and monitor social public opinions. First, the word vector is obtained through ERNIE pre-training model, and then transmitted to the bidirectional GRU neural network. Then, the keywords are weighted in combination with the Attention mechanism. Finally, the emotion is classified through the softmax layer. Experimental results show that the classification accuracy of the proposed model on the weibo_senti_100k data set is 96.51%. © 2022 IEEE.

关键词： Dynamics

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Radar Emitter signal Recognition Based on PCA-ICS-SVM 3

Radar Emitter Signal Recognition Based on PCA-ICS-SVM

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2022 3rd international conference on computer Information and Big Data Applications, CIBDA 2022

作者： Wang, ZhiTeng Liu, Chang Ji, CunXiao Qiu, Sheng College of Communications Engineering Army Engineering University Nanjing210007 China Unit 31433 Shenyang110113 China

ISBN: (纸本)9783800758760

In this paper, a principal component analysis (PCA) based algorithm is proposed, which combines with improved Cuckoo Search (ICS) and Support Vector Machine (SVM). Firstly, PCA is used to reduce the dimension of the eigenvalue, and then select the principal component with high contribution rate as the input vector of SVM for analysis. This paper also proposes a cuckoo algorithm which improves the search formula to find the optimal value of the key parameter penalty factor C and kernel function parameter g of SVM. The simulation results show that this method can obtain better recognition effect in the environment containing a certain amount of noise signals, which not only consumes a short time, but also has a higher recognition rate. © VDE VERLAG GMBH - Berlin - Offenbach.

关键词： Support vector machines

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