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共 6129 条记录，以下是181-190 订阅

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Optimizing Mental Health Status Prediction Models Using Machine Learning Algorithms 3

Optimizing Mental Health Status Prediction Models Using Mach...

引用

3rd international conference on Data Analytics, Computing and Artificial intelligence, ICDACAI 2024

作者： Liu, Dong Guangdong Polytechnic of Science and Technology Guangdong Zhuhai519090 China

ISBN: (纸本)9798331519032

In contemporary society, mental health concerns are gaining heightened attention, and accurately forecasting individuals' mental well-being has become a pivotal research focus. Traditional predictive models for mental health often struggle with issues like the complexity of data processing and insufficient prediction precision. However, the application of machine learning algorithms introduces new approaches to address these challenges. In the age of artificial intelligence, creative works are high-quality data sources for machine learning, raising crucial questions about copyright regulations. Balancing these rules to foster innovation in both cultural and technological sectors is a pressing issue. This study employs various machine learning techniques, such as support vector machines, decision trees, and deep learning algorithms, to thoroughly examine and evaluate mental health data. As artificial intelligence technology evolves rapidly and reshapes its applications, new research themes and methodologies continuously emerge within machine learning, with advances in deep learning and reinforcement learning driving the field forward. This paper not only reviews the essential techniques in the optimization process but also explores future research avenues and potential applications, aiming to provide valuable insights for ongoing research and practical efforts in mental health prediction. © 2024 IEEE.

关键词： Adversarial machine learning

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3rd IEEE international conference on Artificial intelligence, ICAI 2023

3rd IEEE International Conference on Artificial Intelligence...

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3rd IEEE international conference on Artificial intelligence, ICAI 2023

ISBN: (纸本)9798350322125

The proceedings contain 41 papers. The topics discussed include: diagnosing spinal abnormalities using machine learning: a data-driven approach;humor detection in English-Urdu code-mixed language;machine learning based fault classification using stray flux and stator current in induction motor;human robot interaction: identifying resembling emotions using dynamic body gestures of robot;a cybersecurity risk assessment of electric vehicle mobile applications: findings and recommendations;machine learning based human recognition via robust features from audio signals;imitation learning for autonomous driving cars;an efficient ensemble approach for fake reviews detection;intelligent system for the diagnosis of schizophrenia featuring brain textures from EEG;adversarial attacks on aerial imagery : the state-of-the-art and perspective;fake news detection using machine learning;real-time object detection and 3D scene perception in self-driving cars;and the next generation of cloud security through hypervisor-based virtual machine introspection.

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Machine Vision-Based Sorting robot for Courier Station 3

Machine Vision-Based Sorting Robot for Courier Station

引用

3rd IEEE international conference on Social Sciences and intelligence Management, SSIM 2023

作者： Xie, Chunyan Liu, Zhongyuan Liang, Xulin Zhang, Bin Xie, Ying Wang, Yu School of Electronic Engineering and Automation Guilin University of Electronic Science and Technology Guilin China

ISBN: (纸本)9798350327786

To solve the current problems such as the large volume of courier business and the slow speed of manual sorting in courier stations, a machine vision-based courier sorting robot was developed in this study. The robot contained STM32 as the main controller and an Openmv camera to collect information. It adopted YOLOv5s target detection, zbar barcode recognition, PID control, robotic arm grasping, and sensors. The robot has an omnidirectional chassis structure equipped with a six-degree-of-freedom robotic arm and a two-degree-of-freedom gimbal to provide excellent maneuverability. Different from the traditional manual sorting, the sorting robot does not require staff to scan the code of the courier into the warehouse, sorting, labeling, and moving on the shelves. The courier sorting efficiency was improved with reduced labor costs. The sorting robot can be used in the logistics terminal courier station, replacing labor for courier sorting with feasibility and innovation. © 2023 IEEE.

关键词： Three term control systems

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Stability Analysis of 3C Electronic Industry robot Grasping Based on Visual-Tactile Sensing 3

Stability Analysis of 3C Electronic Industry Robot Grasping ...

引用

3rd international conference on robotics, Automation and Artificial intelligence (RAAI)

作者： Yan, Teng Sun, Yuxiang Zhang, Yang Yu, Zhenxi Li, Wenxian Zhang, Kailiang Shenzhen Univ Shenzhen Peoples R China Shenzhen Technol Univ Shenzhen Peoples R China

ISBN: (纸本)9798350307573;9798350307566

This study addresses the stability of robotic grasping and assembly in the 3C electronics industry, an area often plagued by issues such as slippage and twisting of target objects during grasping, which negatively impacts production efficiency and product quality. Previously, solutions primarily relied on conventional visual detection techniques, which suffered from low recognition rates in complex environments, strong dependence on light and background, and suboptimal performance with transparent or reflective objects. Although advances in sensor technology allowed traditional tactile detection methods to effectively gauge grasp strength and prevent objects from being damaged, these approaches were constrained by the objects' material, shape, and friction, affecting accuracy. Unfortunately, both of these require considerable datasets to train. We propose a new grasping solution with small datasets. It integrates Visual-Tactile sensing to counter these limitations via a Dual-Stream neural network-based model to synthesize data. The merged data are then fed into a Vision Transformer (ViT) network to determine the grasping stability, with an achieved accuracy of 98.86%. This approach enhances grasping stability and exhibits superior adaptability in complex environments.

关键词： robotic grasping stability visual-tactile sensing small datasets multi-source data fusion vision transformer

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Design of Artillery Attitude Measurement System Based on Dual-Antenna BDS/INS 3

Design of Artillery Attitude Measurement System Based on Dua...

引用

3rd international conference on Artificial intelligence and Computer Information technology, AICIT 2024

作者： He, Ping Wang, Liheng College of Electrical Information Wuhan institute of technology Hubei Wuhan China

ISBN: (纸本)9798350365443

This paper presents the design and implementation of a cannon attitude measurement system based on dual-antenna BDS/INS integration technology. As modern battlefield environments become more complex, traditional attitude measurement systems fall short in terms of accuracy and response speed, making them insufficient for operational needs. To address these challenges, the proposed system is integrated into an embedded platform, combining the high-precision attitude measurements from dual-antenna BDS with the high-frequency updates from an inertial navigation system (INS). The system employs an Error State Kalman Filter (ESKF) for data fusion, thereby enhancing the accuracy and robustness of attitude measurements. Experimental results show that during the simulated cannon aiming process, the system is capable of providing stable attitude data even under satellite signal interference. Additionally, it demonstrates a high level of accuracy compared to other precision attitude measurement systems, proving its practicality and reliability in real-world applications. © 2024 IEEE.

关键词： Data fusion

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Numerical Simulation of Insulator Detection robot in High-Voltage Environment 24

Numerical Simulation of Insulator Detection Robot in High-Vo...

引用

3rd international Symposium on Control Engineering and robotics, ISCER 2024

作者： Liang, Jian Guo, Shuangyi Mu, Yunhan Zhang, Zhiyu Wang, Haipeng Hu, Yuyao State Grid Intelligence Technology CO. Ltd Jinan250101 China Jinan Yiheng Technology CO. Ltd Jinan250101 China Shandong University of Technology Zibo255000 China

ISBN: (纸本)9798400709951

Ultra-high voltage(UHV) line erection height is significantly higher than other lines. Using traditional manual detection of insulators is time-consuming and labor-intensive, and the accuracy is not high. An insulator inspection robot is developed to automatically crawl on insulators. By measuring resistance, deteriorating insulators can be detected in live environments. Based on the finite element simulation, 3D numerical simulation is carried out, and a model for robot inspection of double-string tensile ceramic insulators is constructed. The electric field distribution and voltage distribution when the probe contacts the insulator are simulated, and the influence of the robot using long and short probes on the electric field distortion is studied. © 2024 ACM.

关键词： robots

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Prediction of Cyber Attacks Utilizing Deep Learning Model using Network/Web Traffic Data 3

Prediction of Cyber Attacks Utilizing Deep Learning Model us...

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3rd international conference on Applied Artificial intelligence and Computing, ICAAIC 2024

作者： Kannan, Balaji Sakthivanitha, M. Jayashree, S. Maruthi, R. School of Computing Science Department of Information Technology Tamil Nadu Chennai India Hindustan Institute of Technology and Science Department of Computer Applications Tamil Nadu Chennai India

ISBN: (纸本)9798350375190

Nowadays, cyber-attacks are growing predominantly due to the development of technologies. It will lead to financial losses to a company and the other problems related to attacks. It is very important to predict such attacks from outsiders to safeguard our networking systems to provide effective security. The Artificial intelligence (AI), Machine Learning (ML) and Deep Learning (DL) techniques leverage enormous amounts of data to identify the cyber attacks. These learning approaches are used to identify a broad range of cyber-attacks by analyzing the web traffic or network traffic to identify potential threats such as malware, network intrusions and other types of attacks. The study demonstrates the various deep learning methods to predict the anomalies and other potential threats with more accuracy in real time. © 2024 IEEE.

关键词： Forecasting

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Accurate Measurement and Real-Time Control of Digital Signal Processing in Fiber Optic Ranging Systems 3

Accurate Measurement and Real-Time Control of Digital Signal...

引用

3rd international conference on Artificial intelligence and Autonomous robot Systems, AIARS 2024

作者： Zhou, Dinghe Huang, Junbo Harbin Engineering University Harbin Heilongjiang150000 China Hebei University of Technology Tianjin300130 China

ISBN: (纸本)9798350376173

Digital Signal Processing (DSP) technology is a technology that completes data statistics and processing through digital computing, and is widely used in communication, measurement, statistics and other technical fields. Fiber optic has been widely used in communication, electronics, and power due to its advantages such as bandwidth, low loss, and strong anti-interference ability. Fiber optic sensing has been widely used in modern society due to its long sensing distance, multiple measurable parameters, and high sensitivity. With the rapid growth of fiber optic technology, fiber optic ranging technology has been widely applied in various fields. Fiber optic ranging technology has the characteristics of large range and high accuracy, and is one of the most important technologies in high-precision distance measurement. To address the shortcomings of complex calibration process and low calibration accuracy in fiber optic measurement error calibration, this paper proposes a fiber optic ranging system based on DSP technology. By filtering, amplifying, and denoising the collected signal, the signal-to-noise ratio of the signal can be improved, and distance can be measured more accurately. At the same time, the system also has real-time control and adjustment functions to ensure the accuracy of distance measurement. The experimental verification results show that the system has excellent performance and can be used in various fields. © 2024 IEEE.

关键词： Calibration

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Research on the Application of Automatization technology of Human Large Data Communication in Automobile Manufacturing 3

Research on the Application of Automatization Technology of ...

引用

3rd IEEE international conference on Power, Electronics and Computer applications, ICPECA 2023

作者： Song, Shuang Guo, Cunzhen Song, Guicui Tang, Ning Zaozhuang Vocational College Zaozhuang China

ISBN: (纸本)9781665472784

Industrial robot automatic production line has become the mainstream and development direction of automation equipment. This paper describes the modern communication method of PROFINETI0 industrial Ethernet. At the same time, this paper designs a monitoring system of automobile manufacturing robot based on Zigbee wireless network communication technology. The system is designed to solve the problem that the monitoring process is unstable and the monitoring result is inaccurate due to the influence of unstable network and incomplete information transmission when the monitoring system of automobile manufacturing robot collects environmental information. The experimental results show that the delay vibration frequency of the robot monitoring system based on Zigbee wireless network communication technology is low. It shows that the robot monitoring system based on Zigbee wireless network communication technology has higher network communication stability. The system can better ensure the accuracy of monitoring results. © 2023 IEEE.

关键词： robots

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Role of Blockchain Technologies in Goods and Services Tax 3

Role of Blockchain Technologies in Goods and Services Tax

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3rd international conference on Sentiment Analysis and Deep Learning, ICSADL 2024

作者： Kaur, Jyotika Khanna, Rupa Kumar, Rakesh Sunil, G. Graphic Era Deemed University Uttarakhand India Graphic Era Hill University Uttarakhand India Uttaranchal Institute of Management Uttaranchal University Dehradun India School of Computer Science and Artifical Intelligence SR University Warangal India

ISBN: (纸本)9798350396157

technology is rooted in every field. Timely and accurate tax collection is a big change for tax authority. This can be solved by using technologies like artificial intelligence, blockchain technology, internet of thing and robotic system. The purpose of the study was to discover the potential applications and benefits of blockchain technology in the Goods and Services Tax (GST) system. This exhibits how blockchain can increase transparency, streamline compliance, improve auditability, secure data management, streamline supply chain management, and facilitate cross-border transactions under the GST framework provide detailed analysis on how they can promote. This study also discusses about the challenges and contemplations associated with implementing blockchain in the GST system. This study intends to offer a complete overview of the blockchain technology in the GST domain by examining existing literature, case studies & expert opinion. © 2024 IEEE.

关键词： Taxation

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