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检索条件"任意字段=7th International Conference on Computer and Information Processing Technology, ISCIPT 2022"

共 4140 条记录，以下是31-40 订阅

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A Study on Corn Pest Detection Based on Improved YOLOv7 7

A Study on Corn Pest Detection Based on Improved YOLOv7

引用

7th international conference on computer information Science and Application technology, CISAT 2024

作者： Wang, Fangzhou Luo, Yatao Xi'an Jiaotong-Liverpool University School of Advanced Technology Jiangsu Suzhou China

ISBN: (纸本)9798350375107

Aiming at the problems of small pests, blurred image, low resolution and large species difference in different growth periods of corn crops. In this paper, an accurate and efficient method for the detection of maize crop pests, SPD-YOLOv7, was proposed. In this paper, target background analysis, data enhancement, Gaussian noise and brightness processing are used to improve the generalization and robustness of the model. In target detection, the deepening of the depth of neural network will lead to the loss of small target information. In this paper, SPD-Conv module is introduced into the framework of SPD-YOLOv7 to replace part of the step convolutional layer in the traditional system backbone and head network, so as to realize the prominent feature and location information of small target. In addition, the ELAN-W module is combined with the CBAM attention mechanism to extract more efficient features. the accuracy of the improved YOLOv7 network model reaches 98.38%, and the average accuracy reaches 99.4%. Compared with the original YOLOv7 model, the accuracy and average accuracy are improved by 2.46% and 3.19% respectively. the experimental results show that the improved YOLOv7 network model is more efficient and real-time, and has certain reference value in maize pest control. © 2024 IEEE.

关键词： Gaussian noise (electronic)

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A Diffusion Data Enhancement Retentive Model for Sequential Recommendation 7

A Diffusion Data Enhancement Retentive Model for Sequential ...

引用

7th international conference on computer information Science and Application technology, CISAT 2024

作者： Wu, Tengqing Chongqing Normal University Cqnu College of Computer and Information Science Chongqing China

ISBN: (纸本)9798350375107

When using deep learning techniques to process sequential recommendation content, neural network models are typically trained relying on a wealth of historical interaction feedback. However, this feedback data often contains natural or artificial noise, which can impact the extraction of interaction feature data by the model. Diffusion models, known for their powerful denoising capabilities, gain broad usage across image and natural language processing domains. Due to this powerful advantage, diffusion models theoretically have great potential for sequence-based recommendation tasks. In this article, we propose a diffusion data enhancement retentive model called DIDER for sequential recommendation. By applying a diffusion model during the denoising phase of neural networks, the model effectively enhances data features. Subsequently, a retentive model is introduced into sequential recommendation to leverage its powerful data processing capabilities for learning data features. Finally, the integration of acquired features is achieved through the application of a Multi-Layer Perception. To demonstrate the effectiveness of the proposed model, in-depth experiments involving two authentic datasets are carried out, revealing that the DIDER model excels in comparison to various baseline methods. © 2024 IEEE.

关键词： Spatio-temporal data

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Design of PCIe-Based Color Recognition and Tracking System 7

Design of PCIe-Based Color Recognition and Tracking System

引用

7th IEEE international Electrical and Energy conference, CIEEC 2024

作者： Liu, Changrui Wang, Lingyi Cao, Xinli Sun, Xueting Shang, Yuxin Wuhan Institute of Technology School of Electrical and Information Wuhan China Chinese Institute for Brain Research Beijing China

ISBN: (纸本)9798350359558

the tracking of target location plays an important role in animal behavior experiments. In order to meet the demand for high-speed transmission and fast processing of images in experiments, this paper designs an image transmission and processing system based on PCIe high-speed communication interface, which can track objects of specific colors within the screen in real time. By using the upper computer software designed based on the QT framework, the system is able to receive images containing calibration information in real time and make them available to researchers. the system's control and processing core uses Xilinx's Artix-7 series FPGAs, the Riffa framework to drive the PCIe high-speed communication interface data transceiver, and DDR3 SDRAM as the core of the high-speed memory module. the image acquisition device uses OV7670 CMOS, and the whole system realizes the complete process from image acquisition, processing, transmission to display. © 2024 IEEE.

关键词： Field programmable gate arrays (FPGA)

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Design of a Mobile Application for Nearby and On-Demand Pet-Sitting Services 7

Design of a Mobile Application for Nearby and On-Demand Pet-...

引用

7th international conference on information and computer Technologies, ICICT 2024

作者： Blancaflor, Eric B. Banao, Gian Carlo A. Mapua University School Of Information Technology Manila Philippines

ISBN: (纸本)9798350385625

Pet owners with hectic schedules are always looking for reliable pet-sitting services to offer their furry family members the best care possible to meet their pet's basic needs. In the Philippines where pet ownership is common, but people are always busy working and may have long trip vacations, a readily mobile application is necessary to develop to provide pet sitting services nearby and on demand. In this design project, we will discuss the design process of a mobile application for pet-sitting services and how it can benefit pet owners, pet sitters, and even investors/developers in the country. From the user interface considerations, and business conceptualization to payment processing systems, this is a design with an innovative approach to providing a marketable application for pet care services such as pet sitting. © 2024 IEEE.

关键词： User interfaces

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RCAN based MRI super-resolution with applications 7

RCAN based MRI super-resolution with applications

引用

7th international conference on Electronic information technology and computer Engineering (EITCE)

作者： Liu, Yonghao Shandong Normal Univ Jinan Peoples R China

ISBN: (纸本)9798400708305

High-quality Magnetic Resonance Imaging (MRI) provides an aid to reliable diagnosis. By processing medical images, doctors are able to view pathological features more easily;however, since pathological features are usually small in the early stages, we would like to obtain medical images that are as clear as possible so that doctors can observe relevant features and even finer textures. therefore, applying image super-resolution technology to medical images can reconstruct high-resolution medical images without increasing hardware equipment, which helps doctors make better diagnoses of patients' conditions. the use of deep learning methods can effectively reconstruct high-resolution images. In this paper, RCAN network is applied to the medical image dataset IXI and formed a control experiment with SAN, EDSR and T2Net network, and RCAN achieves good results both in terms of data metrics and in terms of recovering images for analysis.

关键词： medical image processing deep learning convolutional neural networks super-resolution reconstruction

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Impact of Channel Numbers and Training Epochs on U-Net's Polyp Segmentation Performance 7

Impact of Channel Numbers and Training Epochs on U-Net's Pol...

引用

7th international conference on Signal processing and information Security, ICSPIS 2024

作者： Ji, Zhanlin Ganchev, Ivan Zhejiang A&F University College of Mathematics and Computer Science Hangzhou China University of Limerick Limerick Telecommunications Research Centre Ireland University of Plovdiv 'Paisii Hilendarski' Plovdiv Bulgaria Institute of Mathematics and Informatics Bulgarian Academy of Sciences Sofia Bulgaria

ISBN: (纸本)9798350368673

Medical image segmentation plays an extremely crucial role in the modern field of medicine. It is a process that involves the precise delineation and labeling of medical images through computer technology. However, during the training of segmentation models, insufficient computational power is often a challenge. Despite having superior models, the lack of hardware resources may hinder the widespread implementation of these models. therefore, in this paper, the U-Net model is used as a case study to investigate the impact of the number of channels and training epochs on the segmentation performance. the experimental results show that by reducing the number of channels in the U-Net model and increasing the number of training epochs, the model's parameter counts can be successfully decreased, while also achieving satisfactory segmentation results. © 2024 IEEE.

关键词： Image segmentation

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Research on fault diagnosis method of electro-hydraulic system based on improved Radial Basis Function neural network 7

Research on fault diagnosis method of electro-hydraulic syst...

引用

7th international conference on Electronic information technology and computer Engineering (EITCE)

作者： Wang, Xu Tan, Honghua Wuhan Inst Technol Sch Elect Engn & Informat Wuhan Peoples R China

ISBN: (纸本)9798400708305

Aiming at the problems of complex fault diagnosis and slow processing speed of the current special vehicle electro-hydraulic system, this paper proposes an electro-hydraulic fault diagnosis system for special vehicle based on RBF neural network. the improved convolutional neural network is used to extract the original data features of the special vehicle electro-hydraulic system, and then the extracted data features are sent to the RBF neural network for training, which can greatly reduce the training time, and the extracted features are in the underfitting state at this time, thereby reducing the risk of overfitting. the experimental results on the test samples show that the improved system can quickly and accurately locate the fault, and give the corresponding expert maintenance advice, which has certain reference value for the health management of special vehicles.

关键词： RBF neural network Fault diagnosis Human-computer interaction Expert system

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CBBFT - A Byzantine Fault Tolerance Mechanism for Education Credit Banks 7

CBBFT - A Byzantine Fault Tolerance Mechanism for Education ...

引用

7th international conference on computer information Science and Application technology, CISAT 2024

作者： Li, Xin Zhou, Lianghaojie Chen, Ningtian Jiang, Jianyong Liu, Peng GuangXi Normal University School of Computer Science and Engineering School of Software Guilin China

ISBN: (纸本)9798350375107

In the education sector, an increasing amount of research is beginning to explore the application of blockchain technology to credit banks. this paper proposes a consortium blockchain consensus mechanism tailored for credit bank applications, aiming to address issues such as single point of failure, large message volumes, and slowest node limitations inherent in existing BFT-like consensus protocols. this includes algorithms for secret random selection of block proposer nodes based on reputation scores and block selection, as well as introducing a reputation model. Subsequently, a detailed analysis of the security of this consensus protocol is conducted. Finally, the paper evaluates the performance of the proposed consensus protocol through experimentation. © 2024 IEEE.

关键词： Blockchain

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Application of Multimodal Sensing and Adaptive Decision Making for Clinical Supply Automation 7

Application of Multimodal Sensing and Adaptive Decision Maki...

引用

7th international conference on computer information Science and Application technology, CISAT 2024

作者： Lin, Dun Zeng, Zhiwei Liu, Jiaxin Long, Huajin College of Electronic Information Engineering Zhuhai College of Science and Technology Guangdong Zhuhai China College of Finance and Trade Guangdong Zhuhai China

ISBN: (纸本)9798350375107

With the booming development of modernized logistics system, smart logistics is supported by new generation of electronic information technology to create a new mode of logistics business development. In this context, this thesis proposes a medical logistics terminal based on multimodal sensing and adaptive decision-making. Combining the intelligent logistics terminal with the background of the medical industry has practical research value. the terminal system utilizes multi-sensor technology fusion and real-time sensing of environmental changes and logistics and transportation needs, and makes adaptive decision-making based on the collected data in order to improve the efficiency and accuracy of distribution at the supply side of medical materials. the results of the study show that the system has significant advantages in improving medical efficiency, reducing distribution costs, and optimizing medical processes. © 2024 IEEE.

关键词： adaptive application control intelligent system medical distribution multimodal

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Intelligent Detection Method for Lightning Protection Points Based on YOLOv8 7

Intelligent Detection Method for Lightning Protection Points...

引用

7th international conference on computer information Science and Application technology, CISAT 2024

作者： Luo, Jingdian Luo, Haibo Shi, Xin Fuzhou Institute of Oceanography Fujian Fuzhou350108 China Minjiang University College of Computer and Data Science Fujian Fuzhou350108 China

ISBN: (纸本)9798350375107

this paper proposes an intelligent detection method based on the improved YOLOv8 algorithm for detecting lightning protection points on offshore wind turbine blades. Traditional methods rely on manual climbing and manual detection, posing high safety risks and low efficiency. We utilize drones equipped with high-definition cameras and advanced object detection algorithms to achieve automatic detection of lightning protection points, significantly improving detection efficiency and reducing safety risks for maintenance personnel. Additionally, the introduced C2F-DWR module and CARAFE upsampling technology further enhance the accuracy and computational efficiency of small target detection. Experimental validation on a custom dataset confirms significant improvements in key evaluation metrics such as mAP50 and mAP50-95. © 2024 IEEE.

关键词： Offshore wind turbines

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