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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 2101 条记录，以下是311-320 订阅

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IoT based Smoke detection with Air Temperature and Air Humidity;High Accuracy with Machine Learning 3

IoT based Smoke Detection with Air Temperature and Air Humid...

引用

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

作者： Kumaran, S. Arunachalam, S. Surendar, V. Sudharsan, T. Saveetha Engineering College Department of Ece Tamilnadu Chennai India

ISBN: (纸本)9781665462167

In the present technologically advanced society, new innovations are being developed constantly. An ever-expanding network that constantly works to exchange and acquire information on the newest trends in the industrial IoT Platform is the source of these new developments in IoT communications-based projects. Home automation is a way to remotely or automatically control household equipment from the tip of your finger. The user will then be able to afford solutions, improve energy conservation, and make the best use of energy. The development of IoT home automation has been greatly aided by the detection of fire in this next technology. A sudden destructive event like fire has the potential to quickly spread, resulting in significant losses of both societal goods and human lives. Preventive actions are essential necessary since, in the event of a fire, prevention is always preferable to cure. This necessitates the need to develop a fire safety equipment in both home and workplace. More attention has been given to an IoT-based automatic smoke detection system to detect smoke in a room and even keep track of it. Additionally, it enables us to notify users and the Fire and Rescue Department when a gas sensor detects a particular amount of smoke. These smoke detectors can emit an audible and visual signal locally in a home smoke detector or smoke alarm, or they send a signal to a fire alarm control panel as part of a building's central fire alarm system. Utilizing an automatic smoke detection system. The Internet of Things (IoT) is used in this automatic smoke detection system to operate all the devices, and a Wi-Fi shield serves as a bridge to connect the devices to the network so that the data from the smoke sensor can be read. The smoke situation in a home that the user can access via the Favoriot platform is continuously monitored by this system. © 2023 IEEE.

关键词： Internet of things

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Application of Parallel Triplets Based on Intelligent Collaborative Robots in Industry 5.0 3

Application of Parallel Triplets Based on Intelligent Collab...

引用

3rd IEEE international conference on Digital Twins and Parallel intelligence, DTPI 2023

作者： Hu, Bin Mao, Junfei Zhang, Xiaodong Liu, Xinjie Qin, Minghua Cheng, Tao Qingdao Academy of Intelligent Industries China State Key Laboratory of Multimodal Artificial Intelligence Systems China Chinese Academy of Sciences Institute of Automation China Shandong Jiaotong University China Yantai Institute of Technology China

ISBN: (纸本)9798350318470

Aiming at the application requirements of agile production in Industry 5.0, this paper designs and implements a prototype of cyber-physical-social system using intelligent collaborative robots in the laboratory. The lightweight design of the digital twin accelerates the implementation of the prototype of the parallel system, and proposes a parallel triplet concept that adds a microphysical space to the digital and physical spaces of the digital twin. The system prototype serves as a practical exploration to take advantage of Industry 5.0, which can improve the efficiency of agile production and reduce the rate of defective products. This paper provides empirical research on the practical application of agile production in Industry 5.0 and promotes the development of parallel triplet technology. © 2023 IEEE.

关键词： Machine design

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3rd IEEE international conference on technology, Engineering, Management for Societal Impact using Marketing, Entrepreneurship and Talent, TEMSMET 2023

3rd IEEE International Conference on Technology, Engineering...

引用

3rd IEEE international conference on technology, Engineering, Management for Societal Impact using Marketing, Entrepreneurship and Talent, TEMSMET 2023

ISBN: (纸本)9798350397819

The proceedings contain 78 papers. The topics discussed include: cardiomyopathy classification with echocardiogram videos using deep learning techniques;experimental analysis on sheep tibia bone under various load condition;a comparative performance evaluation of machine learning approaches for spectrogram-based music genre classification;smart self-checkout system for supermarkets;a review on drive selection, converters and control for electric vehicle;analysis, modelling, and implementation of point contact relay in railway relay interlocking system;flood forecasting for Himachal region using machine learning based classification;prediction and detection of liver diseases using machine learning;and analysis of unsupervised-learning based approach for the hazard prediction along with the application of the gaussian method of anomaly detection to reduce the false alarm scenarios in underground coal mines.

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Blockchain-Powered Enhancement of Financial Network Security Through AI-Based Tools 3

Blockchain-Powered Enhancement of Financial Network Security...

引用

3rd international conference on Smart Generation Computing, Communication and Networking, SMART GENCON 2023

作者： Singh, Kuldeep Shivaprasad, G. School of Management Gati Shakti Vishwavidyalaya Gujarat Vadodara390004 India University Faculty of Management Studies Bangalore India

ISBN: (纸本)9798350319125

The objective of this study is to examine the key factors that contribute to the enhancement of financial network security through the utilization of blockchain technology and artificial intelligence (AI) tools. In this study, we utilize Google Trend Analytics and VOSviewer to examine the interrelationships among significant concepts in the domain of financial security driven by blockchain technology. The findings of the study provide significant insights and recommendations for various stakeholders, such as government entities, policymakers, regulators, and professionals in the field of information technology. Our research aims to enhance the comprehension of the intricate relationship between blockchain technology and AI tools in bolstering financial network security by revealing the network connections among crucial aspects. The aforementioned findings can be utilized as a valuable resource for facilitating future joint endeavors with the objective of enhancing financial inclusion and fostering community well-being. Through the utilization of blockchain technology and artificial intelligence (AI), it is possible to collaboratively strive towards the establishment of a financial ecosystem that is both more secure and inclusive. This endeavor aims to guarantee the well-being and stability of both individuals and enterprises. © 2023 IEEE.

关键词： Blockchain Cybersecurity Financial Networks Threat detection

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Design of Intelligent Supermarket Service Robot Based on Raspberry Pi 3

Design of Intelligent Supermarket Service Robot Based on Ras...

引用

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

作者： Han, Xue Wang, Wei Gao, Fei Dalian Neusoft University of Information School of Intelligence & Electronic Engineering Dalian China

ISBN: (纸本)9781665490788

In this paper, an intelligent supermarket service robot with the functions of speech recognition, intelligent following, voice interaction and automatic payment is realized. It is a 1:20 intelligent robot model, in which Raspberry Pi 4B is the main controller responsible for complex digital image processing and STM32F103RCT6 microcontroller is the auxiliary controller responsible for robot movement, obstacle avoidance and communication. The system uses camera to capture video, and realizes object tracking and commodity QR code recognition through OpenCV image recognition technology. Baidu AI is used for speech recognition and speech synthesis to achieve voice interaction with customers. The robot can also be controlled by APP through Bluetooth communication, and obstacle avoidance can be realized through ultrasonic module. The robot recognizes the QR code of goods, calculates the total price of goods, and generates the payment QR code for customers to realize automatic payment. © 2023 IEEE.

关键词： Speech recognition

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3rd international Semantic intelligence conference, ISIC 2023

3rd International Semantic Intelligence Conference, ISIC 202...

引用

3rd international Semantic intelligence conference, ISIC 2023

ISBN: (纸本)9789819773558

The proceedings contain 36 papers. The special focus in this conference is on Semantic intelligence. The topics include: On the Potential of Sustainable Software Solutions in Smart Manufacturing Environments;technologies and Concepts for the Next-Generation Integrated Energy Services;from Text to Voice: A Comparative Study of Machine Learning Techniques for Podcast Synthesis;artificial intelligence and Legal Practice: Jurisprudential Foundations for Analyzing Legal Text and Predicting Outcomes;unveiling the Truth: A Literature Review on Leveraging Computational Linguistics for Enhanced Forensic Analysis;navigating the Digital Frontier: Unraveling the Complexities and Challenges of Emerging Virtual Reality;challenges to Admissibility and Reliability of Electronic Evidence in India in the Age of ‘Deepfakes’;an In-Depth Exploration of Anomaly detection, Classification, and Localization with Deep Learning: A Comprehensive Overview;comparative Analysis of Docker Image Files Across Various Programming Environments;Dimensions of ICT-Based Student Evaluation and Assessment in the Education Sector;effectiveness of Online Education system;a Formula for Effective Evaluation Practice Using Online Education Tool;deciphering the Catalysts Influencing the Willingness to Embrace Digital Learning Applications: A Comprehensive Exploration;Pedagogical Explorations in ICT: Navigating the Educational Landscape with Web 2.0, 3.0, and 4.0 for Transformative Learning Experiences;admission Prediction for Universities Using Decision Tree Algorithm and Support Vector Machine;Visualization and Statistical Analysis of Research Pillar of Top Five THE (Times Higher Education)-Ranked Universities for the Years 2020–2023;assessing Machine Learning Algorithms for Customer Segmentation: A Comparative Study;genre Classification of Movie Trailers Using Audio and Visual Features: A Comparative Study of Machine Learning Algorithms.

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Design of FPGA-based TDLAS aircraft fire detection system 3

Design of FPGA-based TDLAS aircraft fire detection system

引用

3rd international conference on Sensors and Information technology (ICSI)

作者： Hao, Kui-hong Wang, Ji-xuan Civil Aviat Univ China Coll Elect Informat & Automat 2898 Jinbei Rd Tianjin 300300 Peoples R China

ISBN: (纸本)9781510666122;9781510666139

A new file detection system based on FPGA and TDLAS technology is proposed to solves the shortcomings of traditional fire detection sensors in airplane cabins, such as poor reaction time, high false alarm rate, and limited sensitivity. First, an FPGA-centered system architecture is constructed using gas molecule spectrum absorption theory. The FPGA is used to create a laser wavelength modulation signal generating module, as well as a high-speed data transmission module, a FIR digital low-pass filter module, and a digital phase-sensitive detector module. The system was used to evaluate the strength of gas absorption peaks at different concentrations. The second harmonic was extracted from the data while measuring and removing the interference from the external environment. The relative error of the final fitting results was less than 0.04%, which proves the feasibility of the design.

关键词： Fire detection TDLAS FPGA Digital phase-sensitive detection Digital low pass filtering

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Automatic Design of Microcontroller system Simulation Based on Artificial intelligence technology and Data intelligence Analysis 3

Automatic Design of Microcontroller System Simulation Based ...

引用

3rd international conference on Machine Learning and Big Data Analytics for IoT Security and Privacy, SPIoT2023

作者： Wei, Wei Shaanxi Institute of Fashion Engineering Shaanxi Xi'an China

The automatic design of system simulation based on microcontroller can effectively improve the intelligence level of microcontroller system simulation through intelligent analysis of data and combined with AI (Artificial intelligence) technology. On the basis of analyzing AI technology, the article explored the process of automatic design for microcontroller system simulation, and proposes a microcontroller system simulation automatic design method based on AI technology and data intelligence analysis. Finally, through experiments, it was found that the quality qualification rate of the microcontroller system increased from 76.74% to 85.48%, verifying the effectiveness of this method. © 2023 Elsevier B.V.. All rights reserved.

关键词： Artificial intelligence

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Chest X-ray Lesion detection Based on Improved YOLOv7 3

Chest X-ray Lesion Detection Based on Improved YOLOv7

引用

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

作者： Jia, Fuyang Xu, Chengzhe Yanbian University College of Engineering Yanji China

ISBN: (纸本)9798350335262

Chest x-ray examination is one of the important methods of clinical examination. Due to the complex structure of the chest, irregular lesions and other factors, it is difficult to clearly display the features, and the performance of chest X-ray lesion detection is limited. Therefore, this paper takes the characteristics of chest x-ray images as the starting point. According to the characteristics of chest x-ray lesions, the YOLOv7 algorithm has been improved. By introducing the MVB (MobileViT Block) module into the backbone feature extraction network, the correlation of multiple locations can be correlated, more global and accurate information can be extracted, and the irregular shape of the lesion can be effectively processed. At the same time, in view of the complex background noise of the chest radiograph image, the GAM (Global Attention Mechanism) is introduced in the feature pyramid fusion stage. This method can increase the importance of object focus and suppress the interference of background noise. Finally, through comparative experiments, this paper found that the improved chest x-ray lesion detection algorithm of mAP@.5 reached 0.62, and compared with the benchmark model YOLOv7 algorithm, the detection rate of the improved algorithm increased by 2.6%. In addition, the ablation experimental results show that the improvements made in this paper can effectively alleviate the problem in chest X-ray images. © 2023 IEEE.

关键词： Anomaly detection

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Customer Segmentation and Market Analysis for Portfolio Generation 3

Customer Segmentation and Market Analysis for Portfolio Gene...

引用

3rd international conference on Pervasive Computing and Social Networking, ICPCSN 2023

作者： Balaji, Prachet Kumar, K. Vijaya Kamal, Gayar Sai Srm Institute of Science and Technology Department of Computational Intelligence Chengalpet District Tamil Nadu Kattankulathur603203 India

ISBN: (纸本)9798350322842

The objective behind the creation of this system is to open the gates of the world of equity market investment to all the masses. Through the utilization of data and predictive modelling, the risks that are associated with market investments can be mitigated therefore putting investors at ease and allowing them to better experiment and acclimate to the arena. This will allow a more diverse range of people to participate while also boosting the economy and shortening the barrier between those that hold a monopoly over investments in the market and those that lack the information to launch themselves into this arena and gain a foothold that would allow them to obtain financial freedom. © 2023 IEEE.

关键词： Investments

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