2023 IEEE 3rd International Conference on Software Engineering and Artificial Intelligence (SEAI)最新文献_第3页

Underwater Wall-Climbing Inspection ROV Scheme Design and Flow Resistance Simulation Based on BlueROV2 Modification 基于BlueROV2改进的水下爬壁检测ROV方案设计及流阻仿真

2023 IEEE 3rd International Conference on Software Engineering and Artificial Intelligence (SEAI) Pub Date : 2023-06-16 DOI: 10.1109/SEAI59139.2023.10217718

Yanhua Xue, Shuai Wang, Wenqiang Ma, Zhe Zeng

引用次数: 0

A Low Latency Routing for Telematics Combined with Image Semantic Communication 结合图像语义通信的远程信息处理低延迟路由

2023 IEEE 3rd International Conference on Software Engineering and Artificial Intelligence (SEAI) Pub Date : 2023-06-16 DOI: 10.1109/SEAI59139.2023.10217468

Zhiping Wan, Shaojiang Liu, Zhiming Xu, J. Zou

{"title":"A Low Latency Routing for Telematics Combined with Image Semantic Communication","authors":"Zhiping Wan, Shaojiang Liu, Zhiming Xu, J. Zou","doi":"10.1109/SEAI59139.2023.10217468","DOIUrl":"https://doi.org/10.1109/SEAI59139.2023.10217468","url":null,"abstract":"Vehicle networking enables real-time, efficient and stable transmission of massive data for various intelligent transportation applications, such as autonomous driving, intelligent intersection management, emergency message broadcasting, etc. However, vehicle networking faces severe challenges in network performance and reliability due to factors such as high-speed mobility of vehicles, dynamic changes of network topology structure, etc. This paper proposes a low-latency routing method for vehicle networking based on image semantic communication, aiming to solve the high latency problem of image data transmission in vehicle networking. For routing planning, this method considers factors such as distance measurement between vehicle nodes, packet loss probability of candidate nodes, residual energy measurement of candidate nodes, current load measurement of candidate nodes, etc. to comprehensively select routing nodes, thereby reducing transmission latency. This method also adopts semantic communication method to transform image data into semantic data and compresses semantic data, thereby further reducing the data volume to be sent by the source vehicle and achieving the purpose of shortening the total data transmission time.","PeriodicalId":381082,"journal":{"name":"2023 IEEE 3rd International Conference on Software Engineering and Artificial Intelligence (SEAI)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116126665","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Neural Network-Based Prediction of the Performance Budget for Road Defects and Highway Maintenance 基于神经网络的道路缺陷与公路养护性能预算预测

2023 IEEE 3rd International Conference on Software Engineering and Artificial Intelligence (SEAI) Pub Date : 2023-06-16 DOI: 10.1109/SEAI59139.2023.10217472

Melchor S. Cabrera, D. Silva

{"title":"Neural Network-Based Prediction of the Performance Budget for Road Defects and Highway Maintenance","authors":"Melchor S. Cabrera, D. Silva","doi":"10.1109/SEAI59139.2023.10217472","DOIUrl":"https://doi.org/10.1109/SEAI59139.2023.10217472","url":null,"abstract":"The goal of this study is to create a model that can forecast the allocation for maintenance of roads and bridges in DPWH in Region XII. The study comes up with a new way to improve road maintenance, which is important for a country's social and economic growth. In this research, artificial neural networks (ANN) were employed to make a prediction model that could accurately predict how much it would cost to maintain roads and bridges in the future. At eight (8) District Engineering Offices in the DPWH Region XII between 2019 and 2022, the researcher used the maintenance section's prior allocation. In this study, final allocation served as the output variable, and the manipulated factors utilized to run the model were road length, road equivalent maintenance kilometer (EMK), bridge length, bridge EMK, and road condition. Levenberg-Marquardt (LM) based on ANN was utilized as the training algorithm (TA), while the Hyperbolic Tangent Sigmoid (HTS) function was used as the transfer function (TF). The outcomes of the analysis demonstrate that the model attained R values of 0.99197, which are approaching the optimal value of 1.00. It shows that neural network models perform 118 times better than multiple linear regression (MLR) models regarding prediction accuracy. This study provides a model for government agencies to use in predicting allocation costs for road and bridge maintenance more precisely.","PeriodicalId":381082,"journal":{"name":"2023 IEEE 3rd International Conference on Software Engineering and Artificial Intelligence (SEAI)","volume":"604 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116366244","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

MOEA/D with Adaptive Weights for Multi-objective Optimization Problems 多目标优化问题的自适应加权MOEA/D

2023 IEEE 3rd International Conference on Software Engineering and Artificial Intelligence (SEAI) Pub Date : 2023-06-16 DOI: 10.1109/SEAI59139.2023.10217444

Xiangyu He, Qingyang Zhang

引用次数: 0

Quantitative Analysis of Facial Paralysis Based on TCM Acupuncture Point Identification 基于中医穴位识别的面瘫定量分析

2023 IEEE 3rd International Conference on Software Engineering and Artificial Intelligence (SEAI) Pub Date : 2023-06-16 DOI: 10.1109/SEAI59139.2023.10217761

Keding Huang, Yanfei Li, Feiyu Zhu

{"title":"Quantitative Analysis of Facial Paralysis Based on TCM Acupuncture Point Identification","authors":"Keding Huang, Yanfei Li, Feiyu Zhu","doi":"10.1109/SEAI59139.2023.10217761","DOIUrl":"https://doi.org/10.1109/SEAI59139.2023.10217761","url":null,"abstract":"Traditional methods for recognizing facial palsy suffer from factors such as reliance on professional doctors and high subjectivity. Existing intelligent methods for detecting facial palsy mainly extract facial features and base their judgments on face asymmetry, but they cannot perform quantitative analysis of the degree of facial palsy. To address these limitations, we propose a novel approach to diagnose and quantitatively analyze facial palsy based on facial acupuncture point recognition.Our method involves identifying three sets of acupuncture points related to facial palsy by accessing an improved Resnet model after detecting, cropping, and pre-processing the input image. We then measure the intersection angle of the line connecting these points and the vertical line of the middle symmetry line of the face to achieve quantitative analysis and grading of the degree of facial nerve damage.The aim of our proposed model is to quantify and grade the degree of facial nerve damage. We compared our model with VGG and MobileNet frameworks, and the experimental results demonstrate that our proposed model is effective in acupoint recognition and has the lowest error in quantitative analysis, and the average angle error can be reduced to 4.5 degrees. By using facial acupuncture point recognition to diagnose and grade facial palsy, our method provides a more objective and accurate approach to assessing this condition.","PeriodicalId":381082,"journal":{"name":"2023 IEEE 3rd International Conference on Software Engineering and Artificial Intelligence (SEAI)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129569618","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Similarity-Based Shield Adaptation under Dynamic Environment 动态环境下基于相似性的盾构自适应

2023 IEEE 3rd International Conference on Software Engineering and Artificial Intelligence (SEAI) Pub Date : 2023-06-16 DOI: 10.1109/SEAI59139.2023.10217461

Prasanth Senthilvelan, Jialong Li, K. Tei

引用次数: 0

Semi-Automated Image Annotation for Cannabis Seed Gender Detection Model 大麻种子性别检测模型的半自动图像标注

2023 IEEE 3rd International Conference on Software Engineering and Artificial Intelligence (SEAI) Pub Date : 2023-06-16 DOI: 10.1109/SEAI59139.2023.10217788

Prachya Boonsri, Y. Limpiyakorn

{"title":"Semi-Automated Image Annotation for Cannabis Seed Gender Detection Model","authors":"Prachya Boonsri, Y. Limpiyakorn","doi":"10.1109/SEAI59139.2023.10217788","DOIUrl":"https://doi.org/10.1109/SEAI59139.2023.10217788","url":null,"abstract":"Many areas such as industrial, academic and medical have turned attention to the value and market opportunities that use cannabis as the new mixture. Due to the potential of its compounds, cannabis has become an economically viable plant. Many growers in Thailand are turning to cannabis as one of the yield crops and probably an alternative economically crop. The growers generally buy regular seeds for planting outdoor, resulting in the mix of growing up to male and female plants. The fact that only female cannabis plants are preferred as they provide valuable cannabinoid-rich flowers to harvest. Therefore, automated screening the gender of cannabis seeds upfront prior to plant could help lower waste and increase profitability. Agri-technology such as computer vision has played an important role in agriculture. Object detection models would facilitate sorting out female from male seeds. However, dataset annotation is resource consumption. This paper thus presents an approach of semi-automated image annotation as part of the YOLOv5 object detection model for gender screening of cannabis seeds. The preliminary result is promising. Compared to the model using manual annotation, the model using the proposed semi-automated annotation achieved comparable performance, and reduced half of the time spent on dataset annotation.","PeriodicalId":381082,"journal":{"name":"2023 IEEE 3rd International Conference on Software Engineering and Artificial Intelligence (SEAI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129553514","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Research on Electromagnetic Wave Propagation Characteristics in GIS Based on UHF Method 基于UHF方法的GIS中电磁波传播特性研究

2023 IEEE 3rd International Conference on Software Engineering and Artificial Intelligence (SEAI) Pub Date : 2023-06-16 DOI: 10.1109/SEAI59139.2023.10217369

Yang Yang, J. Bi, Lihua Li, Ning Yang, Wentong Shang, Jiayun Zhu

{"title":"Research on Electromagnetic Wave Propagation Characteristics in GIS Based on UHF Method","authors":"Yang Yang, J. Bi, Lihua Li, Ning Yang, Wentong Shang, Jiayun Zhu","doi":"10.1109/SEAI59139.2023.10217369","DOIUrl":"https://doi.org/10.1109/SEAI59139.2023.10217369","url":null,"abstract":"Gas insulated enclosed combined appliances (GIS) are widely used in power systems by virtue of their small footprint and high insulation current carrying capacity. Partial discharge is an important basis for measuring the insulation characteristics of GIS. Among them, the UHF detection method has been widely concerned with the advantages of strong anti-interference ability, high detection sensitivity and fault location. This paper investigates the propagation characteristics of electromagnetic wave signals in GIS using the time-domain finite difference method based on UHF local discharge detection test, and provides a theoretical basis for inline UHF sensor arrangement and data analysis. The GIS model is modelled using XFDTD software, excitation sources are set at the high-voltage and low-voltage ends of the GIS, and monitoring points are set at the bottom of the GIS to study the propagation characteristics of electromagnetic waves in the GIS by analysing the time-frequency domain waveforms. And the size of the GIS was adjusted to study the changes of the discharge peak during the propagation of the GIS under different sizes. The simulation results show that the electromagnetic wave signal propagation in the GIS shows obvious time delay characteristics and amplitude decay characteristics, the low frequency component amplitude in the 0 ~ 0.6 GHz overall rising trend, while the high frequency component amplitude does not depend on the location of the occurrence of defects, high frequency component amplitude will be decayed with the increase of distance. Size changes have a large effect on the peak discharge value, with the peak discharge value decreasing with increasing outer conductor size and increasing with increasing inner conductor size. It can be seen that the location of the partial discharge and the size of the inner and outer conductors of the GIS have a significant impact on the monitoring effect and the means of analysis.","PeriodicalId":381082,"journal":{"name":"2023 IEEE 3rd International Conference on Software Engineering and Artificial Intelligence (SEAI)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124000038","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Copyright Page 版权页

2023 IEEE 3rd International Conference on Software Engineering and Artificial Intelligence (SEAI) Pub Date : 2023-06-16 DOI: 10.1109/seai59139.2023.10217470

引用次数: 0

Script2Graph: Auto-construct Screenplay Text World by Mining Contextual Information Script2Graph:通过挖掘上下文信息自动构建剧本文本世界

2023 IEEE 3rd International Conference on Software Engineering and Artificial Intelligence (SEAI) Pub Date : 2023-06-16 DOI: 10.1109/SEAI59139.2023.10217409

Depei Wang, Lianglun Cheng, Hongwei Liu, Ruihao Li, Huilin Wang, Hongzhi Liu

引用次数: 0