检索结果-内蒙古大学图书馆

2024 international conference on advances in Data engineering and intelligent Computing systems, ADICS 2024

ISBN: (纸本)9798350364828

The proceedings contain 200 papers. The topics discussed include: automated brain tumor detection and classification through deep learning analysis of MRI scans;Tri-UnityNet: a multifaceted ensemble model for pneumonia detection;breast cancer detection using neural networks;electric vehicle battery health monitoring system;early detection of cardiovascular disorders using enhanced ANN model;Healthbot analytics: optimizing healthcare efficiency through intelligent integration;driver drowsiness detection using Mobilenetv2 with transfer learning approach;identification of uterine cervical cancer using CNN compared to ANFIS Approach On MRI Images;violence detection through surveillance videos using combination of VGG16 And LSTM;and OLFV: harnessing the power of enhanced deep learning model to recognize fingerprints using optimization and classification principles.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Mixed-test method for performance evaluation of intelligent collaborative robotic systems 20

Mixed-test method for performance evaluation of intelligent ...

引用

IEEE 20th international conference on automation Science and engineering (CASE)

作者： Da Silva, Miguel Makarov, Maria Regnier, Remi Dumur, Didier Lab Natl Metrol & Essais LNE F-78197 Trappes France Univ Paris Saclay Lab Signaux & Syst CNRS Cent Supelec F-91190 Gif Sur Yvette France

ISBN: (纸本)9798350358513;9798350358520

Human-centered robotic systems open a large field of new applications, both in industry and service contexts. For their interaction with human beings, up to physical collaboration, they rely heavily on computer vision, and more recently on human motion tracking algorithms, which are examples of intelligent components. The complexity resulting from the variety of human behaviors and the combination of intelligent components with robotic collaborative tasks raises the problem of the performance evaluation of the overall system. To support experiment design for performance evaluation of intelligent collaborative robotic systems, we propose an approach combining real-world human motion recordings with numerical simulations of the dynamics of the robotic system with its controller. In this article, we illustrate this approach on the example of the handover task.

关键词： Collaborative robots

来源：评论

学校读者我要写书评

暂无评论

DDoS and Botnet Attacks: A Survey of Detection and Prevention Techniques

DDoS and Botnet Attacks: A Survey of Detection and Preventio...

引用

2024 international conference on advances in Data engineering and intelligent Computing systems, ADICS 2024

作者： Pranav, S.A. Sathya Priya, S. HariHaran, B. Srm Institute Of Science And Technology Department Of Computer Science And Engineering Chennai India

ISBN: (纸本)9798350364828

The Internet of Things (IoT) heralds a innovative generation in communication via enabling regular gadgets to supply, receive, and percentage records easily. IoT applications, which prioritise venture automation, aim to present inanimate items autonomy;they promise increased consolation, productivity, and automation. However, strong safety, privateness, authentication, and recuperation methods are required to understand this goal. In order to assemble give up-to-quit secure IoT environments, this newsletter meticulously evaluations the security troubles and risks inherent to IoT applications. It emphasises the vital necessity for architectural *** paper starts by conducting an examination of security worries before exploring emerging and advanced technologies aimed at nurturing a sense of trust, in Internet of Things (IoT) applications. The primary focus of the discussion revolves around how these technologies aid in overcoming security challenges and fostering an ecosystem for IoT. © 2024 IEEE.

关键词： Botnet

来源：评论

学校读者我要写书评

暂无评论

Accurately Predicting Probabilities of Safety-Critical Rare Events for intelligent systems 20

Accurately Predicting Probabilities of Safety-Critical Rare ...

引用

IEEE 20th international conference on automation Science and engineering (CASE)

作者： Bai, Ruoxuan Yang, Jingxuan Gong, Weiduo Zhang, Yi Lu, Qiujing Feng, Shuo Tsinghua Univ Dept Automat Beijing 100084 Peoples R China Tsinghua Univ Beijing Natl Res Ctr Informat Sci & Technol BNRis Dept Automat Beijing 100084 Peoples R China

ISBN: (纸本)9798350358513;9798350358520

intelligent systems are increasingly integral to our daily lives, yet rare safety-critical events present significant latent threats to their practical deployment. Addressing this challenge hinges on accurately predicting the probability of safety-critical events occurring within a given time step from the current state, a metric we define as "criticality". The complexity of predicting criticality arises from the extreme data imbalance caused by rare events in high dimensional variables associated with the rare events, a challenge we refer to as the curse of rarity. Existing methods tend to be either overly conservative or prone to overlooking safety-critical events, thus struggling to achieve both high precision and recall rates, which severely limits their applicability. This study endeavors to develop a criticality prediction model that excels in both precision and recall rates for evaluating the criticality of safety-critical autonomous systems. We propose a multistage learning framework designed to progressively densify the dataset, mitigating the curse of rarity across stages. To validate our approach, we evaluate it in two cases: lunar lander and bipedal walker scenarios. The results demonstrate that our method surpasses traditional approaches, providing a more accurate and dependable assessment of criticality in intelligent systems.

关键词： intelligent systems

来源：评论

学校读者我要写书评

暂无评论

Research on an Innovative Algorithm for Optimizing intelligent Image Data systems Based on Deep Learning 7

Research on an Innovative Algorithm for Optimizing Intellige...

引用

7th international conference on automation Electronics and Electrical engineering

作者： Dong, Xiaonan Song, Yingbin Wuhan Technol & Business Univ Wuhan 430065 Hubei Peoples R China

ISBN: (纸本)9798350377040;9798350377033

This paper proposes an innovative algorithm for optimizing intelligent image data systems based on deep learning. The algorithm combines image feature extraction, data preprocessing and efficient optimization strategies to improve the performance and accuracy of image data processing systems. First, by designing a deep CNN architecture, important features in the image are extracted to achieve efficient completion of image recognition and classification tasks. Subsequently, a new multi-level data processing method is proposed, which can optimize image data at different levels, thereby improving processing speed and reducing noise interference. Through a series of simulation experiments, the results show that the image classification accuracy of the algorithm is improved by about 12%, from 85.6% of the traditional method to 97.3%. In addition, the processing efficiency is improved by about 20%, the data processing time is reduced from 2.5 seconds of the traditional method to 2 seconds, and the stability of the system is significantly enhanced by introducing optimization strategies, and the stability is improved by about 18%. The optimized algorithm shows significant advantages in both accuracy and efficiency, meeting the needs of efficient intelligent image processing systems.

关键词： Deep learning intelligent image processing data processing

来源：评论

学校读者我要写书评

暂无评论

CAN Bus Communication for Door Control in Cleanroom Environments 28

CAN Bus Communication for Door Control in Cleanroom Environm...

引用

28th IEEE international conference on intelligent engineering systems (INES)

作者： Nagy, Andras Obuda Univ Inst Mechatron & Vehicle Engn Budapest Hungary

ISBN: (纸本)9798350367607;9798350367591

This paper introduces a part of a building automation system designed by the author to control door interlocking in cleanroom environments typically found in the pharmaceutical or semiconductor industry. The system comprises door control modules and a central module connected via Controller Area Network (CAN). The paper provides a brief explanation of the CAN communication protocol and a detailed description of the custom data format developed specifically for this application. Additionally, the hardware is briefly introduced to provide a better overview of the system. The embedded system utilizes a 16-bit PIC microcontroller with a built-in CAN controller and a significant amount of EEPROM, features leveraged in this application. CAN communication enables real-time operation and supports cable lengths of up to 500 meters with 100 nodes on the network, sufficient for most environments. With minimal network load, transmission delay is less than 1 ms, while the total network delay, including message processing, is approximately 50 ms. The simplicity, robustness, and relatively low cost of the CAN bus make it an excellent choice for real-time building automation, even in industrial environments.

关键词： CAN bus building automation door interlock

来源：评论

学校读者我要写书评

暂无评论

Analysing the Role of Human-AI Collaboration in Workforce Transformation

Analysing the Role of Human-AI Collaboration in Workforce Tr...

引用

2024 international conference on advances in Data engineering and intelligent Computing systems, ADICS 2024

作者： Shenoi, V. Viswanath Sreeram, Popuri Sai Varma, Chekuri Lakshmi Goud, Kandikanti Rohith Afroz, Shaik Nashal Koneru Lakshmaiah Educational Foundation Dept Of Computer Science And Engineering Guntur India

ISBN: (纸本)9798350364828

The rapid advancement of artificial intelligence (AI) and automation technologies has brought forth a confluence of challenges and opportunities in contemporary society. The rapid integration of AI into the workforce landscape has ushered in a transformative era, reshaping industries and challenging traditional work structures. This research paper delves into the critical dimension of Human-AI collaboration mainly and explores AI in the context of workforce transformation. Through a multidisciplinary approach, it explores the evolving relationship between humans and AI, emphasizing the synergy between human intelligence and machine capabilities. The study evaluates the impacts, advantages, and challenges of this collaboration and presents practical insights for fostering a harmonious coexistence between humans and AI. By analyzing the role of Human-AI collaboration in workforce transformation, this paper contributes to a deeper understanding of the future of work and the dynamic interplay between humans and intelligent machines in the digital age. © 2024 IEEE.

关键词： Personnel

来源：评论

学校读者我要写书评

暂无评论

Model-Based System engineering (MBSE) for Design of Mechatronic Products 11

Model-Based System Engineering (MBSE) for Design of Mechatro...

引用

11th IEEE international conference on Cybernetics and intelligent systems (CIS) / 11th IEEE international conference on Robotics, automation and Mechatronics (RAM)

作者： Bi, Z. M. Purdue Univ Ft Wayne Dept Civil & Mech Engn Ft Wayne IN 46805 USA

ISBN: (纸本)9798350364200;9798350364194

This paper reports the progress of an ongoing project "Emergency Evacuation System for Disabilities in Wheelchair" sponsored by engineering Projects in Community Service (EPICS) of IEEE. The project aims to develop an advanced mechatronic system that will be used to evacuate a disabled in a wheelchair from a high-rise building with the minimal assistances from caregivers. In this paper, the needs to develop such a system are discussed thoroughly, existing evacuation techniques are investigated to identify their limitations, a new evacuation system is conceived to enhance safety, flexibility, and efficiency of existing techniques. The project also explores a new way to support students' collaborations in designing a complex mechatronic system effectively. Model-Based System engineering (MBSE) is adopted in designing key system components with minimized couplings with others, and the case study development has evidenced the systematism and effectiveness of MBSE in dealing with couplings, complexity, and scalability of complex mechatronic systems.

关键词： Mechatronics engineering Projects in Community Service (EPICS) Model-Based System engineering (MBSE) Motion Analysis Axiomatic Design Assistive Technologies Emergence Evacuation and Stair-Walking

来源：评论

学校读者我要写书评

暂无评论

Research on intelligent Fault Diagnosis Sensor Data Fusion Algorithm in Avionics Maintenance 7

Research on Intelligent Fault Diagnosis Sensor Data Fusion A...

引用

7th international conference on automation Electronics and Electrical engineering

作者： Shang, Jinlong Sanya Aviat & Tourism Coll Sanya Peoples R China

ISBN: (纸本)9798350377040;9798350377033

This paper presents a kind of intelligent fault diagnosis algorithm, which combines Kalman filter, particle filter and deep-learning technique, to integrate and analyze sensor data in avionic system in real time. Experimental results show that in the fault diagnosis of typical avionics systems (such as flight control systems), the diagnostic accuracy of the Kalman filter algorithm is 91.5%, the particle filter algorithm is 94.3%, and the fusion algorithm combined with deep learning achieves a fault diagnosis accuracy of 97.8%. In addition, the error of deep learning combined with data fusion algorithm in fault location is controlled within 3.2 meters, which reduces the positioning error by about 25% compared with traditional methods, and improves the computational efficiency by about 15%. This study proves the application effect of data fusion algorithm in avionics maintenance, demonstrates its advantages in improving fault diagnosis accuracy and real-time performance, and provides innovative ideas and methods for the future development of aviation maintenance technology.

关键词： Avionics maintenance intelligent fault diagnosis sensor data fusion kalman filter particle filter deep learning

来源：评论

学校读者我要写书评

暂无评论

Recent advances in photopolymerization 3D printing of alumina-ceramic

引用

Progress in Natural Science:Materials international 2025年第1期35卷 1-30页

作者： M.Irfan Hussain Min Xia XiaoNa Ren Zhen Shen Muhammad Jamil Changchun Ge Institute of Powder Metallurgy and Advanced Ceramics School of Material Science and Engineering University of Science and Technology Beijing State Key Laboratory of Multimodal Artificial Intelligence Systems Beijing Engineering Research Center of Intelligent Systems and Technology Institute of AutomationChinese Academy of Sciences College of Mechanical and Electrical Engineering Nanjing University of Aeronautics and Astronautics

Digital light processing(DLP) 3D printing has a huge potential for manufacturing intricate and customized ceramic parts with high precision and cost-effectiveness. Research in this field contributes to material innovation,opening the avenues for new process designs in both scientific and industrial sectors. However, the implementation of DLP 3D printing technology in ceramic research has not yet reached the maturity level as that in polymer and tissue engineering. Necessarily, a holistic in-depth literature reporting the successful integration of alumina ceramics within DLP 3D printing technology is urgently needed. This review, systematic examines recent progress in DLP technology, focusing on photopolymer resins that incorporate UV-sensitive monomers, photoinitiators, and dispersants, as well as their synergistic effects on achieving high-quality printing, desirable material properties, and enhanced performance. Further, the review discusses key factors including post-processing characteristics such as debinding and sintering, which influence microstructure, and defect formation including microcracks, porosity and voids. Finally, the challenges associated with printing and sintering are highlighted,aiming to identify focused focused development pathways and potential solution to optimize outcomes. This analysis clarifies existing challenges and also propsoes future applications for DLP technology in the aluminaceramic field.

关键词： Al2O3 ceramics Applications Digital light processing (DLP) Post-processing Resin

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：