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检索条件"任意字段=2023 3rd International Conference on Detection Technology and Intelligence System, DTIS 2023"

共 2097 条记录，以下是21-30 订阅

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Research on the minimum detection limit for measuring high-purity gases by gas chromatography 3

Research on the minimum detection limit for measuring high-p...

引用

2023 3rd international conference on detection technology and intelligence system, dtis 2023

作者： Liu, Hanbing Cheng, Xiaoming Han, Xi Zha, Ling Wan, Fang Yang, Yan Sun, Chao Yu, Guang Fang, Hua WISCO GASES CO. LTD. Wuhan430083 China Shanghai Huaai Chromatography Analysis Co. Ltd. Shanghai200940 China

At present, the application fields of high-purity gases (purity reached 99.999% and above) include the semiconductor manufacturing industry, chemical analysis, fuel cells, aerospace, medicine, etc., and the quality and purity requirements of high-purity gases are also getting higher and higher. As the only detector that can detect ppb-level trace impurities, the pulsed discharge helium ionization detector (PDHID) is the most used detector in the field of high-purity gases. The minimum detection limit of existing PDHID-related analysis methods is usually calculated theoretically. In order to verify the actual minimum detection limit of PDHID, a multi-group gas distribution system was used in this paper to dilute the permanent gas components in the high-purity gas, and the gas chromatograph with pulsed discharge helium ionization detector (GC-PDHID) was used to detect the obtained different concentrations of standard gases. The experimental results showed that PDHID possessed high sensitivity, good linearity, and a wide linear range. The actual minimum detection limit for the permanent gas components in the high-purity gas could reach the ng/g (ppb) level, which could realize the detection of ultra-low concentration samples, and further verify the actual minimum detection limit of PDHID. This experiment provides a reference basis for the analysis of trace gases in the gas industry, especially in industries such as high-purity and ultra-high-purity gases and gas for the electronics industry, and is of great significance in actual production work. © Published under licence by IOP Publishing Ltd.

关键词： Helium

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Research on Key technology of Network Security Management Based on Artificial intelligence 3

Research on Key Technology of Network Security Management Ba...

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2023 IEEE 3rd international conference on Data Science and Computer Application, ICDSCA 2023

作者： Wang, Peihong Honghe Hani and Yi Autonomous Prefecture Public Resources Trading Center Information Department Mengzi China

ISBN: (纸本)9798350341546

With the rapid development of the Internet, network security issues are becoming increasingly prominent, and traditional security management methods are no longer able to meet practical needs. Artificial intelligence, as an emerging technology, has powerful data analysis and intelligent decision-making capabilities, showing broad prospects for application in network security management. This article, through the study of key technologies of artificial intelligence in network security management, including network security detection methods based on clone selection fuzzy clustering algorithm and network security trust management model, provides valuable references for improving the level of network security management. © 2023 IEEE.

关键词： Artificial intelligence Cybersecurity Network security detection

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Research on Digital Media Application system Based on Computer Artificial intelligence technology 3

Research on Digital Media Application System Based on Comput...

引用

2023 IEEE 3rd international conference on Data Science and Computer Application, ICDSCA 2023

作者： Tan, Tingjun West Yunnan University Lincang China

ISBN: (纸本)9798350341546

A digital media design system based on computer artificial intelligence technology is proposed. The design uses TMS320C6657 and DDR31333 as the hardware core of the system. At the same time, the high-speed external memory is used to expand the massive data transmission channel. The software uses a plug-in architecture to develop image plug-in and sound plug-in. The various functional modules are integrated together in the form of plug-ins to form a complete overall framework. In this paper, a virtual reality-based digital media production platform is developed by using the method of joint development of software and hardware. The analysis of the actual operation of the system proves that the system works stably and reliably, and the realization of each function module has reached the design index of the system. © 2023 IEEE.

关键词： artificial intelligence Computer digital media distributed storage

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Artificial intelligence Enabled Diagnostic Digital Cytopathology system for Cervical Intraepithelial Neoplasia detection: Advantages and Challenges 3

Artificial Intelligence Enabled Diagnostic Digital Cytopatho...

引用

3rd international conference on Artificial intelligence and Smart Energy, ICAIS 2023

作者： Kapruwan, Akanksha Sharma, Sachin Goyal, Himanshu Rai Graphic Era Deemed to Be University Department of Computer Science and Engineering Dehradun India

ISBN: (纸本)9781665462167

Cervical cancer, one of the most common diseases in women, poses a major physical and psychological hazard to women. Human papillomavirus (HPV) infection, which revolutionized cervical cancer screening and prompted researchers to look for alternatives to traditional cytological examinations that may be useful in low-resource countries, is a crucial component in the pathogenesis of cervical cancer. In India, it is still a significant health issue for girls. This malignancy is easily preventable with early detection and treatment. This study emphasizes the value of diagnostic digital cytopathology systems and how cutting-edge technology lowers the death rate of women in underdeveloped nations by early cervical cancer detection and screening. If the disease is discovered early, allowing for surgical surgery and preventing chemotherapy and radiation, it may even be feasible to preserve fertility. © 2023 IEEE.

关键词： Chemotherapy

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ARTSY: Digital Assistance and Routing detection Using ML 3

ARTSY: Digital Assistance and Routing Detection Using ML

引用

3rd international conference on Smart Data intelligence, ICSMDI 2023

作者： Jeevitha, R. Selvan, C. Nishitha, T. Vijay Kumar Reddy, P. Karthik Surya, J. New Horizon College of Engineering Department of Computer Science and Engineering Bangalore560103 India

ISBN: (纸本)9781665464871

The existing voice assistants, such as Apple Siri, Amazon Alexa, and Google Assistant, rely on complex Artificial intelligence technology. People now connect with computers in different ways via virtual assistants, conversational interfaces, and chatbots. A personal virtual assistant may even perform certain basic duties like launching apps, reading out notifications and messages, taking personalized notes for you, etc. with just a voice command. Users can ask inquiries to them in the same way they would to a real person. This paper targets on describing the importance of digital assistants and how they can be further enhanced compared to the versions we have in the market today. © 2023 IEEE.

关键词： Artificial intelligence

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Environmentally friendly gas-filled cabinet trace SF6gas detection technology based on GA-BP model 3

Environmentally friendly gas-filled cabinet trace SF6gas det...

引用

2023 3rd international conference on detection technology and intelligence system, dtis 2023

作者： Lin, Jianqin Feng, Liang Ma, Zhenyu Zheng, Zhiyao Liang, Jiaming Li, Jialing Yang, Hanpeng Zhejiang Huadian Equipment Testing and Research Institute Co. Ltd Hangzhou Zhejiang310015 China State Grid Zhejiang Electric Power Co. Ltd Hangzhou Zhejiang310007 China

In order to build a green and low-carbon power grid, the State Grid takes the SF6 gas content in the low-pressure gas filling cabinet in the small gas chamber as an important detection index. The existing SF6 gas on-site detection technology consumes a lot of gas, and the gas density of the gas chamber decreases significantly after repeated detection in the low-pressure gas filling cabinet, which affects the insulation performance. In order to solve the above problems, a quantitative gas extraction detection technology for tracing SF6 gas in environmentally friendly inflatable cabinets based on a neural network model was proposed. Through theoretical analysis and PCCs calculation, it is verified that the output electrical signal of the pyroelectric probe at different times in the quantitative gas extraction mode has a linear relationship with the SF6 gas concentration. The experimental results show that the two neural network models can accurately output SF6 gas concentration in the quantitative gas intake mode, the main performance indicators of the GA-BP neural network model are good, and the maximum relative error is -2.7%, which is significantly better than the BP neural network model. © Published under licence by IOP Publishing Ltd.

关键词： Gases

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Active Defense detection technology for Power system Network Attacks Based on Artificial intelligence 3

Active Defense Detection Technology for Power System Network...

引用

3rd IEEE international conference on Mobile Networks and Wireless Communications, ICMNWC 2023

作者： Huiqin, Li Liyang, Xu Wenhua, Zhao Jianxun, Ma State Grid Customer Service Center Tianjin China Co. Ltd. Beijing China

ISBN: (纸本)9798350317022

Traditional methods for detecting network attacks in power systems have a series of problems, such as the need to constantly update the rule base, high false positive rates, and false negative rates. In order to address these issues, the author proposes an active defense detection technology based on artificial intelligence to protect the power system network from attacks. The author proposed 16 new features using log data from smart grids to more accurately describe network activities and abnormal behavior. In addition, the author also proposed an innovative anomaly data processing method and created a model based on the random forest lifting algorithm. The research results indicate that the method proposed by the author performs well in effectively identifying abnormal behaviors such as faults and network attacks in smart grids. This method is expected to solve the problems of traditional detection techniques and improve the security of power systems. The performance of the proposed method is estimated by the accuracy results and it obtains the average value of 0.9018 respectively. © 2023 IEEE.

关键词： abnormal detection attack detection network attacks power system

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Remote Sensing Image Object detection Based on Improved YOLOv5 3

Remote Sensing Image Object Detection Based on Improved YOLO...

引用

3rd IEEE international conference on Computer Communication and Artificial intelligence, CCAI 2023

作者： Zhou, Shenglan Guo, Rongrong Zhang, Jianhua Chen, Weilong Peng, Yujia Tong, Yushen Dai, Yuebao Xiamen University of Technology School of Opto-Electronic and Communication Engineering Xiamen China Guangdong Greater Bay Area Institute of Integrated Circuit and System Guangzhou China

ISBN: (纸本)9798350335262

Aiming at the problems of complex background, high difficulty of small target detection and high miss detection rate in target detection of satellite remote sensing images, this paper proposes a multiscale target detection model based on YOLOv5 network with attention mechanism. - The feature extraction capability of the backbone network is enhanced by fusing efficient channel attention modules in the backbone network, and the detection head is decoupled and parallel convolution is used to perform classification and regression tasks separately to alleviate the conflict between classification and regression tasks. After experimental validation, the algorithm achieves 74.2% mAP and 64 FPS detection speed on Dior remote sensing dataset. experimental results show that the improved detection algorithm can effectively improve the detection capability of YOLOv5 for small and medium targets in remote sensing images and meet the real-time performance of detection. © 2023 IEEE.

关键词： Remote sensing

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A Survey of Traditional and Machine Learning-based Malware detection Techniques 3

A Survey of Traditional and Machine Learning-based Malware D...

引用

3rd IEEE international conference on Information technology, Big Data and Artificial intelligence, ICIBA 2023

作者： Zhang, Yuting Gu, Yu Beijing University of Technology Faculty of Information Technology Beijing100124 China

ISBN: (纸本)9781665490788

Malware activities have become more and more frequent in recent years, and malware has become an essential threat in the field of network security. Malware detection technology has also received more and more attention. Since the machine learning method can effectively solve the classification problem in malware detection technology, the malware detection technology based on machine learning is gradually applied in various scenarios. This paper first summarizes the traditional malware detection technology, then introduces the classification and specific implementation methods of machine learning-based malware detection technology, and finally summarizes the problems faced by the current detection technology and expounds possible future research. © 2023 IEEE.

关键词： Network security

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Multi-scale reciprocal consistency learning for semi-supervised left atrial segmentation 3

Multi-scale reciprocal consistency learning for semi-supervi...

引用

2023 3rd international conference on detection technology and intelligence system, dtis 2023

作者： Yuan, Enze Zhao, Bin Ding, Shuxue School of Artificial Intelligence Guilin University of Electronic Technology Guangxi Guilin541004 China Guangxi Colleges and Universities Key Laboratory of AI Algorithm Engineering Guangxi Guilin541004 China

Accurate and enough labels are crucial to constructing an excellent deep-learning framework in processing medical scans. However, the expensive cost of medical labels greatly impedes this process. In this case, semi-supervised learning has shown great potential due to its efficient use of unlabeled data. Therefore, we present a novel multi-scale reciprocal consistency network (RC-NET) to utilize the unlabeled data more efficiently for more accurate 3D left atrial segmentation. Our model consists of a common encoder and two independent decoders with inconsistent up-sampling. The decoders generate feature maps of hidden layers at different resolutions during the up-sampling process. Lower-resolution features typically contain local and detailed information, while higher-resolution features involve global or abstract information. Subsequently, we applied consistency learning to these feature maps. By combining local and global semantic information, the model can obtain a comprehensive understanding of the segmentation targets. The experimental data indicate the MRC-Net outperforms many semi-supervised learning methods. It achieves more accurate segmentation results by efficiently utilizing unlabeled data. This provides a completely new approach to improving semi-supervised learning. © Published under licence by IOP Publishing Ltd.

关键词： Deep learning

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