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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 2097 条记录，以下是111-120 订阅

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3D Game Design Aided by Multi-Dimensional Collision detection Algorithm with GPU Optimization 3

3D Game Design Aided by Multi-Dimensional Collision Detectio...

引用

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

作者： Wang, Zikai Pan, Dasheng Di, Bo University of Shanghai for Science and Technology College of Communication and Art Design Shanghai200093 China Shanghai Polytechnic University College of Applied Art and Design Shanghai201209 China Zhejiang Normal University Hangzhou Teachers College for Infant Children Hangzhou311231 China

ISBN: (纸本)9781665462167

This paper addresses the problem of the 3D game design aided by multi-dimensional collision detection algorithm with GPU optimization. For the designed model, our task will be focused on the 3D game design, the GPU performance on the image computing and neural network computing will be essential, hence, the graph neural network algorithm is considered. This study firstly considers the GPU optimization with shared memory model. Shared memory can be used to design the memory access mode in order to realize the combination of the memory access which improves the efficiency. Then, this study considers the multi-dimensional collision detection algorithm design. In order to achieve the unique representation of matrix translation and also spatial points, this paper then adopts the homogeneous coordinate system in matrix transformation. That improves the traditional model. Furthermore, the 3D game design steps are clarified. Based on the experiment under different scenarios, the game design sample code, the GPU performance and algorithm performance are all tested. © 2023 IEEE.

关键词： Graphics processing unit

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Vehicle detection of Bangladesh using YOLOv7 with Hyper-parameter Tuning 3

Vehicle Detection of Bangladesh using YOLOv7 with Hyper-para...

引用

3rd international conference on Artificial intelligence and Signal Processing, AISP 2023

作者： Munir, Nafis Shahriar Hossain, Nazia Zame, Raghib Ryyan Sarowar, Golam Islamic University of Technology Department of Electrical and Electronic Engineering Gazipur Bangladesh

ISBN: (纸本)9798350320749

In recent years, infrastructure development in Bangladesh has advanced at a remarkable rate. Road transportation has grown the most for passenger and freight transportation in the last 50 years. As a result, there are now numerous land-based transportation options. However, the traffic in Bangladesh is getting worse due to rapid unplanned expansion, diverse land use, inadequate public transport vehicles, and more private car users. In this paper, we sought to determine the application of Al in this challenging context. Object detection and classification can help distinguish different types of vehicles and determine traffic density in a given area at a given time, which can facilitate vehicle flow control. The study trains a Deep Neural Network to detect local traffic objects in Bangladesh in real-time using the object detection algorithm YOLOv7 with hyperparameter tuning. The experimental data exhibits an improved precision of up to 13.52% by tuning the hyperparameters. © 2023 IEEE.

关键词： Object detection

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Image Segmentation based Imperative Feature Subset Model for detection of Vehicle Number Plate using K Nearest Neighbor Model 3

Image Segmentation based Imperative Feature Subset Model for...

引用

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

作者： Pavani, V. Divya, K. Likhitha, V. Venkata Mounika, G. Sai Harshitha, K. Sri Vignan'sNirula Institute of Technology and Science for Women Department of Information Technology Andhra Pradesh Guntur India

ISBN: (纸本)9781665462167

The vehicle's license plate number can be read by an image recognition system, called number plate recognition. The goal is to implement a license plate-based modified authorized vehicle recognized verification system that works smoothly. The system can be implemented at the entry point for controlling access to a highly restricted area, such as a military base or the area around the most important government buildings (such as the Parliament or the Supreme Court). The built system first identifies the car, and then takes a picture of it. The license plate area of the vehicle is then converted to grayscale. At that time, the license plate is taken off the car. After that, a KNN (K- Nearest Neighbors) algorithm is used to identify the numerical and alphabetic sequences. With this information, the vehicle's owner, preferred location, current residence, etc. are tracked. Python is used for the implementation, and the system is tested with real images. The test results show that the proposed framework successfully differentiates between fake and real images of license plates. The purpose of this extension is to develop an illustration capable of correctly selecting a license plate based on a photograph of the plate. © 2023 IEEE.

关键词： Optical character recognition

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Design of an Electric Vehicle Modeling and Visualization system Based on Industrial CT and Mixed Reality technology 3

Design of an Electric Vehicle Modeling and Visualization Sys...

引用

2023 IEEE 3rd international conference on Data Science and Computer Application, ICDSCA 2023

作者： Fumin, Qin Wuhan University of Technology School of Computer and Artificial Intelligence Wuhan China

ISBN: (纸本)9798350341546

This study explores the design of an electric vehicle modeling and visualization system based on industrial CT and mixed reality technology. Firstly, the principles of CT technology and the composition and data processing methods of industrial CT systems are introduced. Then, the imaging principles and calculation methods of CT are discussed in detail, including the Beer-Lambert law and data reconstruction algorithms. Subsequently, a method utilizing OpenGL for modeling and visualization is proposed, encompassing the overall design of the visualization system and its operational workflow. Through this research, a novel approach is established, combining CT and mixed reality technology, to provide fresh insights and methods for the related field. © 2023 IEEE.

关键词： Electric Vehicle Modeling Industrial CT Mixed Reality technology Visualization system

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Research on the Attitude detection of the Middle Slot of Scraper Conveyor 3

Research on the Attitude Detection of the Middle Slot of Scr...

引用

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

作者： Sun, Hongyu Zhang, Qiushi Zhang, Peng Jiang, Xiaohui Zhao, Yang Shandong University of Science and Technology College of Electronic and Information Engineering Qingdao China Ningxia Tiandi Benniu Industrial Group Co.Ltd Shizuishan China

ISBN: (纸本)9781665490788

In view of the difficulty and low accuracy of attitude detection of scraper conveyor in fully mechanized mining face, a method of attitude detection of middle slot of scraper conveyor based on inertia unit is proposed in this paper. Firstly, the principle of middle slot attitude detection based on inertial measurement unit is studied, and the middle slot attitude detection model is established. Then, the attitude update and solution method of the middle trough based on quaternion is determined. Finally, a fusion detection method of middle slot attitude information based on UKF algorithm is designed. The experimental results show that this method can accurately measure the three-axis attitude angle of the middle slot of the scraper conveyor, and the maximum error of yaw angle, pitch angle and roll angle is 0.417, 0.023 and 0.012° respectively. © 2023 IEEE.

关键词： Conveyors

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CAS - Attention based ISO/IEC 15408-2 Compliant Continuous Audit system for Insider Threat detection 3

CAS - Attention based ISO/IEC 15408-2 Compliant Continuous A...

引用

3rd IEEE international conference on Artificial intelligence, ICAI 2023

作者： Jah Rizvi, Syed Khurram Javed, Khawaja Faisal Moazam, Muhammad National University of Sciences and Technology Pakistan SGS Private Limited Switzerland

ISBN: (纸本)9798350322125

Enterprises are facing information security threats to intranet-based infrastructure and allied systems from external as well as insider cyber actors. A lot of research has been done to identify the evil insiders and prevent their malicious acts. Moreover, there are many others challenges such as limited availability of real labeled data, variations in organizational nature and emerging zero-day attempts from insiders. Therefore, new approaches are essentially required to combat Information Security (IS) non-complaint behavior and emerging insider cyber threats. To this end, we proposed a novel information security auditing-based system for insider threat detection. Unlike traditional audit approaches, this novel approach is based on continuous auditing system. The approach also fulfills the requirements of with ISO/IEC 15408-2 auditing standard. Moreover, system also proposed deep attention neural network to classify the trusted and untrusted users based on the generated activity logs. We evaluated CAS on the defacto dataset for insider threat detection i.e., CERT. 6.2. Evaluation results show that the proposed model learns from real-world data sets to detect IS non-complaint actions to classify the untrusted insider. The proposed model achieved an accuracy of more than 97% and outpaced traditional machine learning approaches. © 2023 IEEE.

关键词： Intranets

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Wireless Sensor Network Intrusion detection Model for Real-time Hazardous Chemical Monitoring 3

Wireless Sensor Network Intrusion Detection Model for Real-t...

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3rd international conference on Smart Data intelligence, ICSMDI 2023

作者： Xu, Bing Chen, Youying School of Computer Science and Engineering Yulin Normal University Guangxi Yulin537000 China School of Mathematic and Computer Science Guangdong Ocean University Guangdong Zhanjiang524088 China

ISBN: (纸本)9781665464871

Intelligent video surveillance technology is composed of the extremely complex algorithms and technologies. Hence, this article proposes a wireless sensor network intrusion detection model to perform real-time hazardous chemical monitoring. The video surveillance is mainly obtained through the on-site investigation process. After a preliminary understanding of the on-site situation, the 'centripetal method' or 'centrifugal method' is used to visit the periphery, and finally the surveillance video will be detected. To improve the security, the network intrusion detection model is employed. The performance is validated by testing the model under different conditions. © 2023 IEEE.

关键词： Wireless sensor networks

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A Stochastic Resonance-based detection Method for Extremely Low Frequency under Impulsive Noise 3

A Stochastic Resonance-based Detection Method for Extremely ...

引用

3rd international conference on Communication technology and Information technology, ICCTIT 2023

作者： Chen, Zhipeng Dou, Zheng Shen, Xixi Gai, Zhixian College of Information and Communication Engineering Harbin Engineering University Harbin150001 China

ISBN: (纸本)9798350359664

There are few published studies in the direction of extremely low frequency signal detection. Stochastic resonance has good performance in the field of weak signal detection under Gaussian noise conditions. In this paper, we design a stochastic resonance-based signal detection method to meet the receiver detection requirements for extremely low frequency signals in impulse noise. We utilize the normalized compression transformation function to preprocess the received signal for impulse suppression. The fitness between the parameters of the stochastic resonance system and the preprocessed data is explored to configure the stochastic resonance system parameters. The simulation results show that our method is slightly superior to the traditional method in comprehensive performance. © 2023 IEEE.

关键词： Impulse noise

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Frequency-based Drone detection using I-Hawk 3

Frequency-based Drone Detection using I-Hawk

引用

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

作者： Sai, Chadalawada Chetan Gowtham, Ch Bala Imambi, S.Sagar Sravani, Munnangi Vivek, M. Bulla, Suneetha India

ISBN: (纸本)9781665462167

Drones or Unmanned Aerial Vehicles (UAVs) have a wide range of uses in fields such as agriculture, delivery, search and rescue, and surveying. They can be incredibly beneficial but also harmful if used for illegal or malicious purposes like smuggling, illegal surveillance, terrorist attacks, industrial espionage, and privacy violation. Therefore, it's important to regulate the use of drones and develop technology to detect and neutralize their misuse as well as strict laws and regulations to prevent them. A proposed design for a drone defense system utilizes a heat sensor and frequency jammer to detect and neutralize unauthorized drones. The system collects primary data by scanning all frequencies in use within a specific area and then compares this data to secondary data gathered by observing any illegal drone movements. By comparing primary and secondary data, the system can identify and jam any unauthorized frequencies in use. The heat sensor eliminates biological variables and safeguards the camera on the enemy drone, allowing the system to pinpoint exactly what was infiltrated. This approach not only detects the actions of the hostile drone but also preserves any information it has captured. © 2023 IEEE.

关键词： Drones

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Enhancing Brain Tumor detection Classification Accuracy with Computational intelligence 3

Enhancing Brain Tumor Detection Classification Accuracy with...

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3rd international conference on Advance Computing and Innovative Technologies in Engineering, ICACITE 2023

作者： Parashar, Komal Chitkara University Institute of Engineering and Technology Chitkara University Punjab India

ISBN: (纸本)9798350399264

A brain tumour is one of the most dangerous conditions that may afflict children and young adults. 90% to 92% of the all the primary leukaemias of the nervous system's are caused by brain tumours. Each year, an estimated three million people are told they have brain tumours. The 4-year survival rate for those with malignant cerebral or CNS tumours is around 36% for women & roughly 35% for males. The many forms of brain tumours include benign, malignant, hypothalamus, and other varieties. Overall life expectancy of ill persons should be extended by the use of proper mental care, following through with plans, and accurate prognoses. The best way to detect brain cancers is through electromagnetic echo scanning. Mri machines create a staggering amount of graphical input. The radiologist examines such images. Automated categorization techniques that use machine learning and artificial intelligence have consistently outperformed traditional classifications in terms of accuracy. A system that makes use of algorithms for deep learning, like Convolution Neural Networks, Artificial Neural Networks, and Learning Techniques, to conduct appreciation and monitoring would be advantageous to physicians everywhere [1]-[3] © 2023 IEEE.

关键词： Learning algorithms

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