检索结果-内蒙古大学图书馆

2nd international conference on Computational intelligence and Network systems, CINS 2024

作者： Marathe, Aboli Roy, Sidharth Singh, Devansh Walambe, Rahee Kotecha, Ketan Machine Learning Dept. Carnegie Mellon University Pittsburgh United States Dept. of Computer and Information Science University of Pennsylvania Philadelphia United States Pune India Symbiosis Centre for Applied Artificial Intelligence Symbiosis International University Pune India

ISBN: (纸本)9798331504106

This paper describes a self supervised representation learning approach that can perform robust object detection in out-of-distribution rotated images for autonomous driving task. Keeping in mind the limitations of vehicle sensors we incorporate self-supervised rotation invariance for correcting rotational corruptions. We present a comprehensive analysis of observed label shifts, validate the results using holdout sets and provide explainability for the performance uisng GradCAM appaorach. We demonstrate results on real-world adversarial examples: (Autonomous Scenes - DAWN dataset) that significantly outperform common methods. The proposed framework outperforms the rotation-affected benchmark by 14.73 points of mAP for the OD task in autonomous driving applications. ©2024 IEEE.

关键词： Self-supervised learning

来源：评论

学校读者我要写书评

暂无评论

Study on Course Selection system Based on Artificial intelligence 2

Study on Course Selection System Based on Artificial Intelli...

引用

2nd international conference on Mechatronics, IoT and Industrial Informatics, ICMIII 2024

作者： Sun, Qingqing Huang, Cui Wanjiang University of Technology Ma'Anshan243031 China

ISBN: (纸本)9798350386639

This paper proposes an Internet-based course selection system flow model. First, it is used to coordinate the constraints between the curriculum, the classroom, and the teacher. AADL is used to model the system, and it is converted into Petri net model, so that the key resources in IMA system are determined. Using the producer-consumer principle, semaphore mechanism further optimizes this pattern to obtain the most critical resources in the mutually exclusive access. Thus, the user is more stable and secure in the process of entering the course scheduling. The system provides a learning platform for students. Students can choose courses independently according to their actual situation and the guidance of the teaching program. In the teaching process, the teacher can introduce the class situation to the students, and also check the students who have participated in the exam through this system. Educational administration personnel are responsible for the opening and closing of course selection time, information release, management of course selection users, and supervision of course selection. Classes and objects are used as the basic building units to make the designed system modular and reusable. © 2024 IEEE.

关键词： Students

来源：评论

学校读者我要写书评

暂无评论

The Application of Art and Design Teaching system in Universities Based on Artificial intelligence technology 2

The Application of Art and Design Teaching System in Univers...

引用

2nd international conference on Distributed Computing and Optimization Techniques, ICDCOT 2024

作者： Ruan, Xunmiao Guangdong University of Science and Technology Dongguan China

ISBN: (纸本)9798350382952

In order to better understand the art and design teaching system in universities, the author conducted research on the application of art and design education systems based on artificial intelligence technology in universities. The author first provides an overview of artificial intelligence technology, introduces the theoretical basis and application methods of artificial intelligence support applied to art and design education in universities, analyzes the application and development status of artificial intelligence technology, and discovers the problems of artificial intelligence technology in art and design. Secondly, by conducting frequency analysis, multiple comparative analysis, and factor analysis on questionnaire data and other research data, we aim to explore the problems and causes of artificial intelligence in the application of art and design education in universities. A total of 400 electronic survey questionnaires were distributed and 386 were collected. After processing and verification, a total of 365 valid survey questionnaires were obtained. The experimental results indicate that: When practice and participation have a significant impact on attitudes and interests, this pathway shows significant (z=1.918, p=0.033 © 2024 IEEE.

关键词： Reliability analysis

来源：评论

学校读者我要写书评

暂无评论

Design of an Advance Intrusion detection system for IoT Networks 2

Design of an Advance Intrusion Detection System for IoT Netw...

引用

2nd IEEE international conference on Artificial intelligence (ICAI)

作者： Sarwar, Asima Hasan, Salva Khan, Waseem Ullah Ahmed, Salman Marwat, Safdar Nawaz Khan Univ Engn & Technol Dept Comp Syst Engn Peshawar Pakistan

ISBN: (纸本)9781665468961

The Internet of Things (IoT) is advancing technology by creating smart surroundings that make it easier for humans to do their work. This technological advancement not only improves human life and expands economic opportunities, but also allows intruders or attackers to discover and exploit numerous methods in order to circumvent the security of IoT networks. Hence, security and privacy are the key concerns to the IoT networks. It is vital to protect computer and IoT networks from many sorts of anomalies and attacks. Traditional intrusion detection systems (IDS) collect and employ large amounts of data with irrelevant and inappropriate attributes to train machine learning models, resulting in long detection times and a high rate of misclassification. This research presents an advance approach for the design of IDS for IoT networks based on the Particle Swarm Optimization Algorithm (PSO) for feature selection and the Extreme Gradient Boosting (XGB) model for PSO fitness function. The classifier utilized in the intrusion detection process is Random Forest (RF). The IoTID20 is being utilized to evaluate the efficacy and robustness of our suggested strategy. The proposed system attains the following level of accuracy on the IoTID20 dataset for different levels of classification: Binary classification 98%, multiclass classification 83%. The results indicate that the proposed framework effectively detects cyber threats and improves the security of IoT networks.

关键词： Intrusion detection system IoT Security Machine Learning

来源：评论

学校读者我要写书评

暂无评论

Research on the Application of Artificial intelligence technology and Process Control Robots in Food Processing 2

Research on the Application of Artificial Intelligence Techn...

引用

2nd international conference on Artificial intelligence and Smart Energy, ICAIS 2022

作者： Wang, Jinfei Nanjing Meishijia Meat Products Co. Ltd Jiangsu Nanjing211500 China

ISBN: (纸本)9781665400527

This paper studies the application of artificial intelligence technology and process control robots in the process of food intelligent manufacturing, the expansion of sensor control functions and the improvement of precision, the advancement of artificial intelligence technology, and the high integration of various sensing technologies to collect all aspects of information such as food quality parameters, food equipment operating parameters, food sensory evaluation parameters, etc. are used and integrated to achieve precise control of food processing, energy saving and consumption reduction. This paper realizes the intelligent functions of the process control robot system, such as image processing function and collision detection function. © 2022 IEEE.

关键词： Food processing

来源：评论

学校读者我要写书评

暂无评论

Monitoring maritime traffic with ship detection via Yolov4 2

Monitoring maritime traffic with ship detection via Yolov4

引用

2nd international conference on Artificial intelligence and Signal Processing, AISP 2022

作者： Verma, Gaurav Gupta, Aditya Bansal, Shobhit Dhiman, Himanshu Computer Engineering Netaji Subhas Institute of Technology Delhi India Electronics and Communications Engineering Netaji Subhas Institute of Technology Delhi India

ISBN: (纸本)9781665442909

In India a large part of goods transportation is carried out by sea, leading to an emerging requirement for remote maritime patrolling system, which also serves as an asset during wartime and peacetime for defence. In this research paper, we propose an automated maritime patrolling solution by making a Deep Learning Model Pipeline for Ship detection from satellite images using existing State of the art Object detection Algorithms like Faster-RCNN, SSD, YOLOv3, and YOLOv4. We compare results based on various Evaluation Metrics. Further we also release our own dataset which consists of around 300 satellite images of the top 13 busiest Sea-ports of India. After performing the validations, we found that the YOLO v4 displayed the best results with a balanced mAP and FPS score to detect the ships in the satellite images. © 2022 IEEE.

关键词： Object detection

来源：评论

学校读者我要写书评

暂无评论

Research on Intrusion detection technology Based on Artificial Neural Network 2

Research on Intrusion Detection Technology Based on Artifici...

引用

2nd international conference on Big Data, Artificial intelligence and Risk Management, ICBAR 2022

作者： Cao, Wantian Guan, Xiaojuan State Grid Smart Grid Research Institute Co. Ltd. State Grid Key Laboratory of Information and Network Security Nanjing210003 China

ISBN: (纸本)9798350334265

Network security is one of the key issues in computer field, then Intrusion detection system (IDS) is one of the most frequently used defensive means nowadays. Most of the current intrusion detection systems have some problems, such as low detection efficiency and single detection means. In this paper, we use network historical data traffic to find abnormal behavior rules in specific scenarios, design an intrusion detection model based on artificial neural network combined with artificial intelligence. It improves the accuracy and false alarm rate of the intrusion detection. © 2022 IEEE.

关键词： Neural networks

来源：评论

学校读者我要写书评

暂无评论

IoT and Blockchain Based intelligence Security system for Human detection using an Improved ACO and Heap Algorithm 2

IoT and Blockchain Based Intelligence Security System for Hu...

引用

2nd international conference on Advance Computing and Innovative Technologies in Engineering, ICACITE 2022

作者： Ali, Md. Akkas Balamurugan, B. Sharma, Vandana School of Computing Science and Engineering Galgotias University U.P Greater Noida India

ISBN: (纸本)9781665437899

In the modern processed world, it becomes more necessary to certify humans in a very secure way. There are modern square measure applications such as online banking or online search usage techniques that are depended on passwords, keys or individual identification card. These technologies and processes carry the danger that information may be forgotten, lost, or perhaps stolen. Therefore, the forms of identification promise a singular thanks to being ready to certify humans. A secure and confidential identification technique is the use of fingerprints. We proposed here IoT and Blockchain Based intelligence Security system for Human detection using an Improved ACO and Heap Algorithm. We proposed IoT and Blockchain Based technology for ensuring the security of our system. © 2022 IEEE.

关键词： Blockchain

来源：评论

学校读者我要写书评

暂无评论

detection of false data injection attack in power information physical system based on SVM-GAB algorithm

引用

ENERGY REPORTS 2022年 8卷 1156-1164页

作者： Xiong, Xiaoping Hu, Siding Sun, Di Hao, Shaolei Li, Hang Lin, Guangyang Univ Guangxi Univ Sch Elect Engn Nanning 530004 Guangxi Peoples R China

Cyber physical power system (CPPS) is highly dependent on information and communication technology, which makes it vulnerable to network attacks. Among them, false data injection attack (FDIA) is not easy to be found by traditional bad data detection methods, and becomes one of the main threats to the safe operation of power systems. However, the high complexity, large amount of data and transient characteristics of CPPS put forward higher requirements for the accuracy and efficiency of FDIA detection method. Therefore, in view of the characteristics of CPPS, this paper proposes SVM-GAB (Support Vector Machines-Gentle Adaboost) algorithm to effectively detect FDIA. Through the effective dimension reduction and classification of the measured data, the real-time and high-precision detection of FDIA is realized. This algorithm is compared with mainstream detection algorithms in IEEE-14 and IEEE-39 standard systems. The results show that the false alarm rate of this algorithm is reduced by at least 25% compared with the traditional detection algorithm, and the accuracy and real-time performance of the proposed detection algorithm are verified by experiments. (c) 2022 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (http://***/licenses/by/4.0/). Peer-review under responsibility of the scientific committee of the 2021 The 2nd international conference on Power Engineering, ICPE, 2021.

关键词： Cyber physical power system (CPPS) Information security False data injection attack (FDIA) UMAP SVM-GAB

来源：评论

学校读者我要写书评

暂无评论

Deforestation detection using Geographical Information system 2

Deforestation Detection using Geographical Information Syste...

引用

2nd international conference on Artificial intelligence and Smart Energy, ICAIS 2022

作者： Jacob, Nicole Mary Keshav Jincy, L.H. Abhiram, B.S. Ravikumar, Aswathy John, Jisha Mar Baselios College of Engineering Technology Dept of Cse India

ISBN: (纸本)9781665400527

This paper proposes an approach for deforestation detection using Geographical information system to manipulate and analyze geographical data. Here, the rate of deforestation is detected using a vegetation index measure and hence can estimate and control the extent of deforestation. An ndVI based algorithm is applied on the raster data and the final output is obtained in the form of a map in which the area of deforestation is highlighted in different colors. Visualization of the data helps analysis in a much easier and efficient manner and hence NGO's can do faster and accurate analysis helping them to take preventive measures and reduce rate of deforestation. © 2022 IEEE.

关键词： Deforestation

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：