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共 1793 条记录，以下是71-80 订阅

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The Application of Improved Data Processing Methods in GNSS Displacement monitoring Systems 24

The Application of Improved Data Processing Methods in GNSS ...

引用

2024 international conference on Image Processing, intelligent control and computer Engineering, IPICE 2024

作者： Yang, Dongxu Yu, Yang Zhao, Jingbo Qingdao University of Technology China

ISBN: (纸本)9798400710285

Since the GNSS displacement monitoring system is often arranged in the field and affected by hardware equipment, environmental changes, and communication links, there are often outliers in the GNSS displacement data obtained, making it difficult to reflect the real displacement characteristics. To address this problem, this paper proposes an improved data processing method: for a set of displacement observation data, construct the indirect leveling formula of displacement residuals, use the IGG III model combined with cubic spline interpolation to detect the outliers in the displacement data, reject the detected outliers, and fill in the data gaps arising from the outlier rejection to maintain the temporal continuity of the data and improve data quality. Through this method, not only are the outliers effectively eliminated, but the continuity and quality of the data are also guaranteed by the interpolation technique. This paper demonstrates that this method can reasonably and accurately eliminate the outliers and effectively fill in the missing displacement data after the elimination of these outliers when abnormal changes occur in GNSS displacement monitoring data, providing high-quality displacement data for subsequent analysis and prediction. © 2024 Copyright held by the owner/author(s).

关键词： Interpolation

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Design of intelligent Robot for Drug Delivery 4

Design of Intelligent Robot for Drug Delivery

引用

4th international conference on computer, Big Data and Artificial Intelligence, ICCBD+AI 2023

作者： Li, Haojiang Li, Hao Xue, Chen Zhang, Jianjun Hunan Normal University School of Engineering Design Changsha China

ISBN: (纸本)9798350373233

Aiming at the problems of low drug distribution efficiency and high labor costs in hospital, we design an intelligent medicine delivery robot (car). The robot uses MSP430F5529 produced by TI as the core controller;it dynamically identifies the ward number through the K210 camera module;it uses a photosensitive sensor to identify hospital path information;and it extracts motor encoder data. The rotational speed of the feedback motor is used as speed closed-loop information;the gyroscope angle sensor is used to assist the robot in differential steering for direction selection;ensuring the orderliness of the robot's operation. Finally, the MSP430 chip is used to process each sensor data and accurately control the robot in real time, so that the robot can intelligently identify environmental information and complete the drug delivery task quickly and orderly. Several simulated environment tests proved the solution works. © 2023 IEEE.

关键词： Hospitals

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VIDEO BEHAVIOR IN intelligent VIDEO SURVEILLANCE SYSTEM BASED ON DEEP LEARNING

VIDEO BEHAVIOR IN INTELLIGENT VIDEO SURVEILLANCE SYSTEM BASE...

引用

2024 international conference on Electrical Engineering and intelligent control, EEIC 2024

作者： Chen, Yiwen Sino-European School of Technology Shanghai University Shanghai China

ISBN: (纸本)9781837242672

Due to the limitations of traditional monitoring methods in environmental adaptability, the intelligent video surveillance system has garnered significant attention. The evolution of computer vision technology has facilitated the emergence of this intelligent surveillance system. Specifically, the utilization of deep learning technology in intelligent video surveillance has demonstrated immense potential in analyzing video behaviors and addressing real-world challenges. At present, several deep learning-based video surveillance architectures have been proposed, including hybrid CNN-RNN networks, two-stream networks, attention mechanisms, and transformers. These architectures have found robust applications in various fields, such as action identification, behavior comprehension, and detection of aberrant conduct. In this paper, the author first delves into the differences between traditional video behavior analyses and those based on deep learning. Subsequently, the author elaborates on the applications of the deep learning in video surveillance, highlighting its advantages and capabilities. After that, the author introduces several architectures of intelligent video surveillance based on deep learning, providing insights into their workings and potential impact. Finally, the author puts forward the improvement direction of intelligent video surveillance. © The Institution of Engineering & Technology 2024.

关键词： Security systems

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Heat exchanger fouling state assessment and distributed monitoring system development

Heat exchanger fouling state assessment and distributed moni...

引用

2023 international conference on computer, Artificial Intelligence, and control Engineering, CAICE 2023

作者： Luo, Huiguo Chen, Jianxun Qi, Zhengwu Su, Yuhang Yang, Ningxiang Zhuhai Branch Guangdong Institute of Special Equipment Inspection and Research Guangdong Zhuhai519002 China

ISBN: (纸本)9781510665040

Scaling caused by long-term operation is a common fault of the heat exchanger. Fouling will reduce the heat transfer efficiency of heat exchanger, thus affecting the operation cycle of equipment, reducing product quality, and easy to induce production safety accidents. The quantitative evaluation principle and classification standard of heat exchanger fouling condition based on calculating the heat transfer coefficient as the core analysis process were proposed. The calculation methods of query temperature, pressure difference, temperature difference, effective average temperature difference, heat flow and heat transfer coefficient of fluid physical parameters were analyzed. A distributed monitoring system for fouling state of heat exchanger was developed and the system hardware design method and software operation architecture were introduced in detail. The system was successfully applied to the online monitoring of fouling state of a U-tube heat exchanger. The fouling hidden danger of the tested heat exchanger was found. © 2023 SPIE.

关键词： Energy efficiency

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Soil Moisture Prediction Analysis for intelligent and Efficient control 6th

Soil Moisture Prediction Analysis for Intelligent and Effici...

引用

6th international conference on intelligent Communication, control and Devices, ICICCD 2024

作者： Mane, Renuka Khandekar, Prasad D. MIT World Peace University Pune India DES Pune University Pune India

ISBN: (纸本)9789819783281

This work employs novel techniques to measure soil water content, an important aspect of agricultural development and water resource management. We used a variety of machine learning models, to examine a large amount of soil moisture data that was gathered over time. In the beginning, we used tools like pandas, matplotlib, and scikit-learn to analyze and display the data extensively. We also used spectral intensity analysis to examine the relationship between soil moisture and several environmental conditions. This research checks how well different computer models predict soil moisture. We also try to make the soil moisture predictions better by using smart techniques and computer algorithms. We look into using distributed control systems to keep an eye on soil moisture in different farming areas. This study is part of a bigger idea called precision agriculture, where we use smart systems to analyze soil moisture data accurately. The results can help farmers make better choices, manage water well, and take care of the environment. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Smart agriculture

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Proceedings - 2012 international conference on computer distributed control and intelligent environmental monitoring, CDCIEM 2012

Proceedings - 2012 International Conference on Computer Dist...

引用

2012 international conference on computer distributed control and intelligent environmental monitoring, CDCIEM 2012

ISBN: (纸本)9780769546391

The proceedings contain 201 papers. The topics discussed include: a novel cost-effective portable electronic nose for indoor-/in-car air quality monitoring;a clustering routing algorithm based on energy and distance in WSN;a fusion method of heterogeneous information for sea-surface wireless sensor networks positioning;a hybrid strategy to construct scientific instrument ontology from relational database model;a method of buried pipeline route detection based on the geomagnetic field;a method of video quality assessment for CMMB video test sequences;a new image registration method based on frame and gray information;a new method of class centriod vectors classification based on the feedback;a new somewhat homomorphic encryption scheme over integers;a simple and effective algorithm for sinusoidal frequency estimation;and accumulation of soluble organic nitrogen under intensive vegetable production pattern in northeast China.

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Regional Forest Fire Detection and control: An Integrated Approach Using distributed Sensing and Automated Suppression Systems 5

Regional Forest Fire Detection and Control: An Integrated Ap...

引用

5th international conference on IoT Based control Networks and intelligent Systems, ICICNIS 2024

作者： Marathe, Abha Kadam, Manas Mohite, Shreya Narayanrao Lasurkar, Prachi Lanjewar, Riya Modhave, Pranav Vishwakarma Institute of Technology Electronics and Communication Engineering Pune India Computer Engineering Vishwakarma Institute of Technology Pune India

ISBN: (纸本)9798331518097

Forest fires present a significant hazard to property, lives, and ecosystems globally, necessitating swift detection and containment measures. Historically, manual forest fire control systems relied on human observation and reporting, which often resulted in delayed responses and increased damage. The forest is divided into target areas, with each area equipped with intelligent software interfaces, automated response mechanisms, flame sensors, and sprinklers. The proposed system relies on advanced flame sensor technology for prompt and accurate fire outbreak detection. Upon detection, real-time fire data is transmitted to a cloud-based platform, ***, for comprehensive monitoring and analysis. This division allows for targeted intervention and efficient resource allocation based on the severity and location of the fire. The flame sensors used in this system have a range of up to 100 meters, allowing for extensive coverage of forest areas. Additionally, the system includes automated sprinklers that activate immediately upon fire detection, providing an immediate response to help contain and extinguish the fire. By leveraging *** for data transmission and analysis, stakeholders gain valuable insights into fire behavior, facilitating informed decision-making and long-term mitigation strategies. This integrated approach offers a comprehensive solution to combat forest fires, emphasizing early detection and efficient containment to minimize damage and protect both natural habitats and human communities. © 2024 IEEE.

关键词： Sprinkler systems (irrigation)

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Development of intelligent Fault Diagnosis and Predictive Maintenance Algorithm in Photovoltaic Power Generation System

Development of Intelligent Fault Diagnosis and Predictive Ma...

引用

2024 international conference on Power, Electrical Engineering, Electronics and control, PEEEC 2024

作者： Guan, Junning Lei, Guosheng Jiang, Daofang Zhou, Yifan Zhuhai Power Supply Bureau of Guangdong Power Grid Co. Ltd Guangdong Zhuhai519000 China

ISBN: (纸本)9798350378917

With the global awareness of renewable energy and environmental protection rising, photovoltaic power generation system (PPGS), as an important part of clean energy, its stable operation and fault management has become a research hotspot. Aiming at the problem of fault diagnosis and predictive maintenance in PPGS, this paper proposes an intelligent fault diagnosis and predictive maintenance algorithm based on deep learning and time series analysis technology. By monitoring the operation data of key equipment in PPGS in real time, the algorithm uses features extraction techniques such as wavelet transform (WT) and deep neural network (DNN) model to automatically learn the deep-level features in the data, thus realizing accurate fault prediction and health status assessment of photovoltaic inverter. In order to quantitatively evaluate the health status of inverter, this study constructs the health status index (HSI) based on the output of deep learning model, and uses ARIMA model to predict the trend of HSI, so as to warn the possible faults in advance. The experimental results show that the proposed algorithm can effectively reflect the health state changes of the inverter, which provides strong support for preventive maintenance. This algorithm is superior to the comparison algorithm in the accuracy and timeliness of fault prediction, and has high feasibility and practical application value. © 2024 IEEE.

关键词： Predictive maintenance

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Deploy a Secure Chat Application for Log monitoring in Kubernetes 3

Deploy a Secure Chat Application for Log Monitoring in Kuber...

引用

3rd international conference on intelligent Data Communication Technologies and Internet of Things, IDCIoT 2025

作者： Dinesh, S. Nivedha, R. Mahalakshmi, S. Balasaigayathri, B. Department Of CSE Cyber Security Sathyabama Institute of Science and Technology Chennai India School of computing Sathyabama Institute of Science and Technology Chennai India

ISBN: (纸本)9798331527549

This paper presents the development and deployment of a secure chat application in a Kubernetes environment for real-time log monitoring and communication. The research addresses the challenges of managing and aggregating logs in a distributed, containerized environment, specifically within Kubernetes clusters. Traditional logging solutions often struggle with providing real-time collaborative troubleshooting, centralized log aggregation, and robust security. The proposed system integrates Kubernetes-native features, along with Fluentd and the ELK stack (Elasticsearch, Logstash, Kibana), to centralize log management and provide a unified interface for real-time communication through WebSockets. The application is designed to ensure high scalability, fault tolerance, and security by implementing TLS encryption and Role-Based Access control (RBAC). The outcome is a scalable, secure, and efficient log monitoring solution that improves operational efficiency, enhances system reliability, and fosters collaborative debugging, making it a valuable tool for developers and administrators in Kubernetes-based environments. © 2025 IEEE.

关键词： Fault tolerance

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intelligent Driving Safety monitoring Based on Machine Learning - An Example of Students Research Training Program in the Context of New Engineering Disciplines 24

Intelligent Driving Safety Monitoring Based on Machine Learn...

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3rd international conference on computer, Artificial Intelligence and control Engineering, CAICE 2024

作者： Liu, Jiacheng Luo, Haoyue Gao, Yushu Liang, Ruiyu Zeng, Ruoyan Pan, Xing School of Reliability and Systems Engineering Beihang University Beijing China

ISBN: (纸本)9798400716942

The development of new engineering technologies such as artificial intelligence, machine learning, and big data analysis has prompted engineering colleges to keep up with the times in their courses and introduce relevant knowledge to cultivate professionals in different fields. Research training, as an important form of practical teaching in current colleges and universities, plays an important role in improving the innovation and entrepreneurship abilities of undergraduate students. This article takes a comprehensive research project conducted by the junior students at Beihang University as an example, and provides an example of cross disciplinary research training using emerging technologies such as machine learning and quality and reliability related professional knowledge in the context of new engineering. Quality and reliability are interdisciplinary fields involving aerospace, information, transportation, new energy, and other fields. Through scientific research training in new engineering, students can aim at these fields and comprehensively apply professional knowledge learned in the classroom and new engineering technologies mastered in practice to solve practical problems. This research training example focuses on comprehensive security monitoring in the field of intelligent transportation, using machine learning and other methods to process driver personnel data, environmental data, and vehicle data related to driving safety. Through training, mathematical models and methods that characterize the safety status of human-machine co driving are obtained, and corresponding software systems are developed. Although this training example is targeted at the emerging field of intelligent transportation, it also has certain reference significance for practical teaching in other professions and practical applications in other fields. © 2024 ACM.

关键词： Students

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