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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 761 条记录，以下是191-200 订阅

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Practical SS-MPC for collusion whole 3

Practical SS-MPC for collusion whole

引用

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

作者： Geng, Huizheng Guo, Sixu Su, Li Zhang, Yiran China Mobile Communication Research Institute Beijing China

ISBN: (纸本)9781510661240

Secret sharing (SS) technology is widely used in multi-party computation (MPC) because of its simple secret structure and low computational overhead. Aiming at solving the problem that the existing SS-MPC scheme cannot solve the collusion of all computing parties to recover the original data, this work designs a practical SS-MPC for collusion whole (PSCW) scheme. Through the negotiation of redundant computing nodes and redundant security parameters between computing parties, PSCW scheme can ensure that original data cannot be recovered even if all computing nodes collude to obtain all secret shares, which guarantees the confidentiality of the scheme. At the same time, with the addition of redundant computing nodes, PSCW scheme can correctly realize computing requirements of users and ensure the correctness of the calculation results. Compared with the existing SS-MPC scheme, PSCW scheme has higher security and higher application value in real scenes. © 2022 SPIE.

关键词： computer security Data processing Remote sensing Astatine Data storage Data transmission Distribution Lithium Mobile communications Safety

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Image-Based Physics Rendering for 3D Surface Reconstruction: A Survey 1

引用

3rd international conference on 3D Imaging Technologies - Multidimensional signal processing and Deep Learning (3DIT-MSP and DL)

作者： Fang, Da Qin, Zhibao Liang, Shaojun Luo, Renbo Yunnan Normal Univ Yunnan Key Lab Opt Elect Informat Technol Kunming Yunnan Peoples R China

ISBN: (数字)9789811924484

ISBN: (纸本)9789811924484;9789811924477

Obtaining 3D surface information and physical material information of an object from images is an essential research prospect in computer vision and computer graphics. Image-based 3D reconstruction is to extract the 3D depth information of the scene and objects from single or multiple images through specific algorithms to reconstruct the 3D model of objects or locations with robust realism, which has fast reconstruction speed, simple equipment, realistic effect, and minor technical data, which can better realize the virtualization of natural objects.

关键词： Image 3D reconstruction Physics rendering

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Image Dehazing using Dark Channel Prior 3

Image Dehazing using Dark Channel Prior

引用

3rd international conference on Intelligent Computing, Instrumentation and Control Technologies, ICICICT 2022

作者： Chowdari, Ch. Pratyusha Kashyap, V Dheeraj Kumar, K Kiran Charan, M Raghu Akhil, B. Griet Dept.ECE Hyderabad India

ISBN: (数字)9781665410052

ISBN: (纸本)9781665410052

Windstorms, foggy winters, and sand storms generally degrade image quality and have an impact on computer vision applications, which could be a safety concern for drivers because of light dispersing and retention by dust remnant or air molecules, making the view hazy or foggy. Our method relies on the Dark Channel Prior (DCP) methodology, which improves visual contrast too. Upon quantifying the ambient light, the value is utilized for calculating transmission estimate. The transmission map is fine-tuned afterwards, and even the image is recovered. By processing locally, we simplify the refining stage and localize the refinement zone by working with the coarse dark channel. This strategy will reduce blurriness while restoring the true brilliance of distant objects. To compare we have chosen different existing methods like All-in-One Dehazing Network (AOD-net), Convolutional Neural Network (CNN), High Resolution de-hazer(HR de-hazer) and make the comparison using metrics like Peak signal to Noise Ratio(PSNR) and Structural Similarity Index (SSIM). Not only in terms of quality parameters but we have also checked over the latency period where we found DCP is giving a valuable output. Hence, the Peak signal to Noise Ratio value of our proposed method is 20% greater than that of existing methods. © 2022 IEEE.

关键词： signal to noise ratio

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Intelligent sprinkler irrigation system based on K-Means algorithm 3

Intelligent sprinkler irrigation system based on K-Means alg...

引用

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

作者： Fu, Chunlong Zheng, LingXiao Sheng, Teng Zhang, Xuelian Department of Computer Sichuan University Jinjiang College Sichuan Meishan China

ISBN: (纸本)9781510661240

At present, the layout of sprinkler position in the irrigation system mainly depends on manual design. When the irrigation scale is large, the manual layout is difficult to realize, and the unreasonable layout is easy to cause problems such as sprinkler irrigation equipment and water resources waste. In this paper, the k-means algorithm in machine learning is applied to agricultural irrigation, and the concept of intelligent sprinkler irrigation layout design is proposed. Firstly, the sprinkler irrigation area is simulated and stored in the computer based on the inner and outer point discrimination algorithm of polygon, and then the irrigation area is clustered and divided based on the k-means algorithm to obtain each cluster. The central point of each cluster is the best location for sprinkler installation. In the comparative experiment of irrigation areas with different shapes, it is concluded that the irrigation coverage and irrigation uniformity coefficient have a good performance. Compared with manual design, the intelligent irrigation layout proposed in this paper is more intelligent and reasonable. © 2022 SPIE.

关键词： Image processing

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Research on Transformer Fault Voice Print Information processing Based on Wavelet Packet Optimization Transform 3

Research on Transformer Fault Voice Print Information Proces...

引用

3rd international conference on Machine Learning and computer Application, ICMLCA 2022

作者： Wang, Lili Li, Zibin Li, Jianwu Lin, Wande Ren, Jiyun Yu, Wanhong Zhao, Bingnan Chen, Nan Zhao, Dianzhe Shenyang Institute of Engineering Shenyang110136 China

ISBN: (纸本)9781510664814

In recent years, more and more attention has been paid to the study of transformer voiceprint. Therefore, this paper mainly studies the denoising technology of transformer voiceprint signal in high noise environment, compares the wavelet packet transform and the wavelet transform, respectively, and finds that the de-noising effect of wavelet packet transform is better than that of wavelet transform. The three-layer decomposition of vowels in the high-frequency part is conducive to the subsequent extraction and identification of fault signals. © 2023 SPIE.

关键词： Wavelet analysis

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Proceedings of 3rd international conference on Artificial Intelligence: Advances and Applications 1

引用

丛书名： Algorithms for Intelligent Systems

1000年

作者： Garima Mathur Mahesh Bundele Ashish Tripathi Marcin Paprzycki

ISBN: (数字)9789811970412

ISBN: (纸本)9789811970405;9789811970436

This book gathers outstanding research papers presented in the 3rd international conference on Artificial Intelligence: Advances and Application (ICAIAA 2022), held in Poornima College of Engineering, Jaipur, India, during April 23–24, 2022. This book covers research works carried out by various students such as bachelor, master and doctoral scholars, faculty and industry persons in the area of artificial intelligence, machine learning, deep learning applications in health care, agriculture, and business, security. It also covers research in core concepts of computer networks, intelligent system design and deployment, real-time systems, WSN, sensors and sensor nodes, SDN, NFV, etc.

关键词： Computational Intelligence Artificial Intelligence Image processing and computer Vision Natural Language processing (NLP) Electronic Circuits and Devices

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Multi-channel signal synchronous processing for bearing early fault diagnosis based on TRPCA 3

Multi-channel signal synchronous processing for bearing earl...

引用

3rd international conference on Sensing, Measurement and Data Analytics in the Era of Artificial Intelligence, ICSMD 2022

作者： Jiang, Huiming Li, Song Yan, Han Yuan, Jing Zhao, Qian Chen, Jin School of Mechanical Engineering University of Shanghai for Science and Technology Shanghai200093 China Reliability and Simulation Lab Aerospace System Engineering Shanghai Shanghai201109 China School of Mechanical Engineering Shanghai Jiao Tong University Shanghai200240 China

ISBN: (纸本)9781665492812

The multi-channel signal contains more complete fault information than single channel signal, which can effectively improve the fault diagnosis accuracy. Tensor decomposition based techniques are verified to have unique advantages in multi-channel signal processing. How to remove the noise interference and retain the fault characteristics information from multi-channel signal is an important problem to be solved in multi-channel synchronous diagnosis based on tensor decomposition. To effectively extract weak fault information under strong background noise, this paper studies a multi-channel signal synchronous processing method based on TRPCA for early fault diagnosis. Simulation data shows that the studied method can accurately extract weak fault characteristics in the signal under strong background noise and achieve early weak fault diagnosis. © 2022 IEEE.

关键词： early fault diagnosis multi-channel signal tensor decomposition TRPCA

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Intelligent ventilation remote practice system based on cloud platform 3

Intelligent ventilation remote practice system based on clou...

引用

3rd international conference on computers, Information processing and Advanced Education, CIPAE 2022

作者： Sun, Weibo Gao, Xuefeng Wang, Yan Sun, Xuan Duan, Siyu Wang, Zihan School of Energy Engineering Xi'An University of Science and Technology Xi'an710054 China

ISBN: (纸本)9781665468121

Based on the current situation of practical education in Colleges, for the purpose of cultivating the practical ability of mine ventilation, this paper summarizes a remote interactive 'intelligent ventilation remote practice system'. This system integrates the virtual experiment system and ventilation experiment model, constructs a cloud practical learning platform, provides students with a series of ventilation practical learning resources, and simulates the offline practical learning process to the greatest extent. It is mainly composed of physical experiment module, electrical control module and cloud control module. Combined with experimental model and virtual experiment platform, the system fully combines traditional and virtual teaching methods to promote students' effective learning. © 2022 IEEE.

关键词： Ventilation

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Standardized detection and counting of sit-ups based on CenterNet 3

Standardized detection and counting of sit-ups based on Cent...

引用

3rd international conference on Artificial Intelligence, Information processing and Cloud Computing, AIIPCC 2022

作者： Zhu, Zhilei Gao, Xiaoming Shi, Yaling Shi, Zhenyu Embedded Technology Lab. School of Computer Science and Technology Southwest University of Science and Technology China Anhui Boshian Intelligent Technology Co. Ltd. Anhui Province Hefei China Wanjiang College of Anhui Normal University Anhui Province Wuhu China

ISBN: (纸本)9783800759330

Motion detection technology based on deep learning can adapt to the impact on recognition accuracy in a variety of complex backgrounds, but the existing algorithms are difficult to ensure real-time and accurate detection of sit-ups. Aiming at this problem, a scheme for the detection and counting of sit-ups based on the Centernet algorithm is proposed. Collect 14,000 samples for training and testing. And analyze the action characteristics of sit-ups, and establish a parameter classification model to judge whether the exercise is performed correctly. In order to improve the recognition accuracy of the Centernet algorithm, an attention mechanism is introduced to pay attention to detailed information to improve the accuracy of detection. In terms of network optimization, deep separable convolution is used to reduce the amount of network parameters. The final experimental results show that the accuracy of the scheme is 91.90%, and the precision is 92.51%. The average FPS reached 30 at the camera resolution of 480P, proving that the solution can be used for sit-up detection and counting accurately and in real time. © VDE VERLAG GMBH.

关键词： Deep learning

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Research and Implementation of Sentence Error Correction Method in Thangka Field 3

Research and Implementation of Sentence Error Correction Met...

引用

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

作者： Wang, Tiejun Cheng, Sujie Wang, Yu Northwest Minzu University School of Mathematics and Computer Science Lanzhou Gansu730000 China Northwest Minzu University National Languages Information Technology Boulder Lanzhou Gansu730000 China Northwest Minzu University Key Laboratory of China's Ethnic Languages and Information Technology of Ministry of Education Lanzhou Gansu730000 China

ISBN: (纸本)9783800758760

Text error correction is one of the research fields of natural language processing, which is applied in search engine, intelligent question answering, associative input and so on. At present, text error correction is mostly in the general domain, and there are few researches on the error correction of Thangka statements. This paper proposes a method of error correction of Thangka statements. Firstly, Thangka data is pre-processed to complete the training of language model and improve the efficiency and accuracy of text recognition. Then detect the suspected wrong position of the statement, and use domain confusion set, word granularity n-gram and word granularity n-gram to detect the wrong word. Finally, the candidate set of editing distance and phonetic/shape near word recall error correction were used, and the candidate results were sorted by the degree of confusion. The method proposed in this paper has a good application value in the field of Thangka error correction. © VDE VERLAG GMBH - Berlin - Offenbach.

关键词： Error correction

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