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检索条件"任意字段=3rd International Conference on Computing and Data Science, CONF-CDS 2021"

共 907 条记录，以下是111-120 订阅

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Enterprise Taxation Smart Monitoring System Based on Intelligent Background data Extraction 3

Enterprise Taxation Smart Monitoring System Based on Intelli...

引用

3rd international conference on Inventive Research in computing Applications, ICIRCA 2021

作者： Jiang, Shaobo School of Business Guangxi University Xingjian College of Science and Liberal Arts Nanning China

ISBN: (纸本)9780738146270

Enterprise taxation smart monitoring system based on intelligent background data extraction is designed in the proposed study. At present, the commonly used core volume rendering technology can display high-quality three-dimensional object detail information, with this theoretical basis;this research work design and also implement the novel data segmentation pipeline. The system is implemented with the platform construction and the smart monitoring model is combined. Also, the designed system can effectively collect and process data. © 2021 IEEE.

关键词： Extraction

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Research on Twitter data Crawling and data Visualization Analysis Based on Python 3rd

Research on Twitter Data Crawling and Data Visualization Ana...

引用

3rd international conference on computing and data science, conf-cds 2021

作者： Ma, Ziyuan Dalian University of Technology Dalian116033 China

ISBN: (纸本)9789811688843

In this era of rapid development of the Internet, there will always be a large amount of new and innovative information. For Internet users, it is very tedious and impractical for them to filter out interesting and high-quality information. Therefore, a good-performance recommendation system that can intelligently screen and recommend users is necessary in the Internet era, and the essence of a good-performance recommendation system is a reliable recommendation algorithm. With the development of the Internet, the generation and storage of data are everywhere, and it is of great significance to analyze social reality responses based on user behavior data. The article mainly uses python user comments to crawl, and use python for text data mining and analysis, by using more than 100,000 sets of captured data to form multi-party visualization including line graphs, histograms, and tag clouds to promote conclusions. In that case, the automatic collection of people’s search data to determine the weight of the index solves the problem of the lack of persuasiveness of the traditional expert method of determining the weight. Finally, it helps people effectively draw conclusions from extensive and complex data. © 2021, Springer Nature Singapore Pte Ltd.

关键词： Python

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Detecting Software Vulnerabilities Based on Hierarchical Graph Attention Network 1

引用

3rd CAAI international conference on Artificial Intelligence (CICAI)

作者： Xu, Wenlin Li, Tong Wang, Jinsong Fu, Tao Tang, Yahui Yunnan Univ Sch Informat Sci & Engn Kunming Yunnan Peoples R China Yunnan Agr Univ Sch Big Data Kunming Yunnan Peoples R China Yunnan Univ Finance & Econ Informat Management Ctr Kunming Yunnan Peoples R China Chongqing Univ Posts & Telecommun Sch Software Chongqing Peoples R China

ISBN: (数字)9789819991198

ISBN: (纸本)9789819991181;9789819991198

Detecting software vulnerabilities is a crucial part of software security. At present, the most commonly used methods are to train supervised classification or regression models from the source code to detect vulnerabilities, which require lots of high-quality labeled vulnerabilities. However, high-quality labeled vulnerabilities are not easy to be obtained in practical applications. To alleviate this problem, we present an effective and unsupervised method to detect software vulnerabilities. We first propose a new source code representation that maintains both the source code's natural language information and high-level programming logic information, and then we effectively embed the software function into a compact and low-dimensional representation based on hierarchical graph attention network. Finally, we obtain vulnerabilities by applying an outlier detection algorithm on the low-dimensional representation. We carry out extensive experiments on six datasets and the effectiveness of our proposed method is demonstrated by the experimental results.

关键词： Vulnerability detection Source code representation Hierarchical graph attention network Outlier detection

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iGuard: An Intelligent Sitting Posture Monitoring System with Pressure Sensors 3

iGuard: An Intelligent Sitting Posture Monitoring System wit...

引用

3rd international conference on Computer Vision and Pattern Analysis, ICCPA 2023

作者： Yan, Jingyu Wang, Aiguo School of Electronic Information Engineering Foshan University Guangyun Road 33 Guangdong Foshan528000 China

ISBN: (纸本)9781510667563

Prolonged and poor sitting postures are major causes of many musculoskeletal disorders, such as herniated discs, cervical spondylosis, back fasciitis, and scoliosis, and hence proper postures are essential for maintaining good health. Towards a pervasive and low-cost healthcare system, we in this study design and implement a sitting posture monitoring system, named iGuard, with a pressure sensor array. Specifically, we use five sensors to sense the sitting posture information and naturally annotate the training sensor readings over a while. Afterward, we segment the streaming data and extract a variety of time-domain and frequency-domain features from the segments to train a sitting posture recognition model. Finally, comparative experiments are conducted to evaluate the performance of iGuard in distinguishing normal, left-leaning, right-leaning, forward-leaning, backward-leaning, left-leg crossed, and right-leg crossed sitting postures. Particularly, we consider three different evaluation schemes, i.e., subject-dependent setting, subject-independent setting, and cross-subject setting. Experimental results demonstrate the effectiveness of iGuard. © 2023 SPIE.

关键词： Ubiquitous computing

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Study on Improved YOLOv7-based Algorithm for Detecting Crack Defects in Ancient Buildings 24

Study on Improved YOLOv7-based Algorithm for Detecting Crack...

引用

3rd international conference on Computer, Artificial Intelligence and Control Engineering, CAICE 2024

作者： Fang, Tianke Hui, Zhenxing Rey, William P Xie, Zhiying Yang, Aihua He, Yuanrong School of Information Technology Mapua University Manila1200 Philippines Big Data Institute of Digital Natural Disaster Monitoring in Fujian Xiamen University of Technology Xiamen Fujian361024 China School of Computing and Information Engineering Xiamen University of Technology Xiamen Fujian361024 China School of Information Media Zhangzhou Vocational College of Science and Technology Zhangzhou Fujian363200 China Hunan Key Laboratory of Remote Sensing Monitoring of Ecological Environment Dongting Lake Area Changsha Hunan410004 China

ISBN: (纸本)9798400716942

In the protection and restoration work of ancient buildings, the detection and analysis of the cracks and defects of the exterior walls of ancient buildings is a crucial task. In this paper, an improved YOLOv7 algorithm is proposed to detect the defects of ancient external walls, aiming to achieve efficient and accurate detection of the defects of ancient external walls. The method involves preprocessing the image using a rectangle clipping algorithm, graying the image using the maximum method, and denoising the image with a median filter. Next, the image is labeled using the LabelImg tool, and the data is split into training, validation, and test sets. During model training, a CBAM-Net module is inserted after several CBS modules in the backbone network, the GIOU loss function is replaced by CIOU, and feature task extraction is performed. The realized attention mechanism is added to the Yolov7 model. The results show that the mAP value of crack detection after the improved algorithm reaches 81.2%. In contrast to the initial YOLOv7 algorithm, the precision of the model has been boosted to 87.2%, exhibiting a 6.0% enhancement in accuracy and an 85.2% improvement in recall rate. The improved YOLOv7 crack detection algorithm reduces network calculation and improves crack classification and recognition ability. This approach is crucial in safeguarding ancient buildings as it enables varying levels of maintenance depending on the severity of cracks. © 2024 ACM.

关键词： Attention mechanism Deep learning Defect detection Image processing YOLOv7

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Goodness Ratio and Throughput Improvement Using Multi-criteria LEACH Method in Group Sensing Device Network 3rd

Goodness Ratio and Throughput Improvement Using Multi-criter...

引用

3rd international conference on data science, Machine Learning and Applications, IcdsMLA 2021

作者： Rekha, V.S. Siddaraju DrAmbedkar Institute of Technology Karnataka Bangalore India Department of Computer Science and Engineering Dr Ambedkar Institute of Technology Karnataka Bangalore India

ISBN: (纸本)9789811959356

In wireless sensor networks, the entire region is disbursed with a set of sensing devices (SDs), and then, multiple sets are formed. For controlling each set, a unique SD is selected for inter-set communication. The selection of special sensing device (SSD) in each region sensing device network (RSDN) is done by computing random value of probability for the case of LEACH method. Whenever end-to-end route is established, this SSD will keep on changing so that each SD has an opportunity to deliver data across regions. The end-to-end path formation is done using SDs, base controller (BC), and SSD. The disadvantage is that the path is longer, more hops, and more energy consumption. The E-LEACH improves the selection of SSD based on remaining energy levels of SDs. The route is formed using combination of SDs, primary, and secondary SD. This will overcome the delay and hop ratio disadvantage of LEACH but suffers from lower goodness network factor. The selection of SSD for a multi-criteria system is done by measuring remaining energy, distance with respect to reference position and mobile value. Comparison is done between LEACH, E-LEACH, and multi-criteria LEACH with respect various parameters, and it is proved that multi-criteria LEACH is the best. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Wireless sensor networks

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A Review of End-to-End Chinese – Mandarin Speech Synthesis Techniques 3rd

A Review of End-to-End Chinese – Mandarin Speech Synthesis ...

引用

3rd international conference on computing and data science, conf-cds 2021

作者： Gong, Wenzhuo Hong, Yang Liu, Hancheng He, Yutong School of Cyber Science and Engineering Sichuan University Chengdu610207 China

ISBN: (纸本)9789811688843

Text-to-speech (TTS) is currently a significant research field of speech synthesis. It has been used in intelligent conversational artificial intelligence (AI), chatbot, speech interaction, and a large variety of other application scenarios. Credit to the application of deep learning and end-to-end technology in speech synthesis, the current advanced TTS system is able to synthesize speech close to the real human voice. However, its application in Chinese Mandarin is hindered by the diversity of pronunciation of Chinese characters and the complexity of Chinese grammar. This article will follow the development of speech synthesis technology to elaborate on the research and development of Mandarin speech synthesis and discuss the existing problems of current research. This work is anticipated to further improve the performance of the Chinese-Mandarin end-to-end system and point out some valuable research directions which can bring the research of Mandarin speech synthesis into a new stage. © 2021, Springer Nature Singapore Pte Ltd.

关键词： Speech synthesis

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Big data Case Study: E-Commerce Statistics Study Using Hadoop 3

Big Data Case Study: E-Commerce Statistics Study Using Hadoo...

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3rd international conference on Inventive Research in computing Applications, ICIRCA 2021

作者： Jogendra Kumar, M. Bhadraja, M. Reddy, R. Vijaya Kumar Thriveni, A. Koneru Lakshmaiah Education Foundation Department of Computer Science and Engineering AP Vaddeswaram India Pb Siddhartha College of Arts and Science Computer Science Department Vijayawada India Prasad v Potluri Siddhartha Institute of Technology Department of Information Technology A.P Vijayawada India

ISBN: (纸本)9780738146270

Today, data governs all parts of life, making it critical for companies to comprehend and apply relevant data in their operations. The fundamental target of this research work is to arrange the world's information and convert it into shrewd data, so that the customers can discover an incentive in that [1]. By doing so, the clients can find value in the delivery process, technologies, marketing, product quality, functioning and utilize product for real time integration. © 2021 IEEE.

关键词： Big data

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Application and method analysis of cloud education technology in product art design education 3

Application and method analysis of cloud education technolog...

引用

3rd international conference on Internet Technology and Educational Informization, ITEI 2021

作者： Yang, Yan Chengdu College of University of Electronic Science and Technology of China Sichuan Chengdu611700 China

ISBN: (纸本)9781665480505

Cloud computing technology is a kind of intensive computing mode with data and processing capability as the core. It mainly integrates various ICT technologies and is the product of traditional technologies. Cloud computing technology mainly includes large-scale data management technology, virtualization technology, distributed data storage technology, programming technology, information management, cloud computing management platform technology and distributed resource management. Cloud computing technology is widely used in product art design. To analyze the structure model of product art design system and construct a complete product three-dimensional model is mainly to use distributed data storage technology to integrate the data information obtained from product art design, and then design and develop the product data results. Among them, cloud computing technology adopts various engineering technologies in product art design and uses three-dimensional modeling to help product art design establish intelligent modules. The application of cloud computing technology promotes the progress of product art design education and meets the demand of product art design for technical education. © 2021 IEEE.

关键词： Information management

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A Review Towards Machine Learning Spectrum for Bioinformatics 3

A Review Towards Machine Learning Spectrum for Bioinformatic...

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3rd international conference on Advances in computing, Communication Control and Networking, ICAC3N 2021

作者： Sharma, Richa Bharti, Vishal Chandigarh University Department of Computer Science and Engineering India

ISBN: (纸本)9781665438117

Machine Learning is a science developed as a subfield of Artificial Intelligence in late 90's. It is a science that will improve in the future. The development in Machine Learning is just because of the difficulty of analyzing and processing the increasing data. The basic principle used in machine learning is just to find the best model for the recent data as compare to the previous one. This research includes information about machine learning, its approaches and how machine Learning is being used in Bioinformatics. © 2021 IEEE.

关键词： Bioinformatics

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