2022 International Conference on System Science and Engineering (ICSSE)最新文献_第2页

IEEE Copyright and Consent Form IEEE版权及同意表格

2022 International Conference on System Science and Engineering (ICSSE) Pub Date : 2022-05-26 DOI: 10.1109/ICSSE55923.2022.9948266

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Mathematical Lung Cancer Radiotherapy Model – Computational Simulation and Analysis 肺癌放射治疗数学模型——计算模拟与分析

2022 International Conference on System Science and Engineering (ICSSE) Pub Date : 2022-05-26 DOI: 10.1109/ICSSE55923.2022.9947363

Wei-Fu Li, Chung-Yih Wang, Kuo-Wei Chen, H. Samani, Changguo Yang

{"title":"Mathematical Lung Cancer Radiotherapy Model – Computational Simulation and Analysis","authors":"Wei-Fu Li, Chung-Yih Wang, Kuo-Wei Chen, H. Samani, Changguo Yang","doi":"10.1109/ICSSE55923.2022.9947363","DOIUrl":"https://doi.org/10.1109/ICSSE55923.2022.9947363","url":null,"abstract":"Lung cancer is one of the deadliest diseases in the world. The most effective methods for treating lung cancer are radiotherapy and chemotherapy. In this paper, we focused on the radiotherapy. Now, mathematical models have been extended to many biomedical fields to provide assistance for analysis, evaluation, prediction and optimization. Methods. In this article, we propose a mathematical tumor growth model derived from the classic Gompertz tumor model, and use appropriate parameters to obtain a radiotherapy model. The model was fitted with a number of studies and clinical data through computer simulations, and analyzed the effects of certain doses and α/β values on the effect of radiotherapy, and provided results consistent with the growth of lung cancer cells in vitro. Results. Using optimization technology, the model runs stably. The simulation results show that some radiotherapy doses and α/β values have significant changes in radiotherapy. The proposed mathematical model can provide basic work for the analysis and evaluation of radiotherapy plans. Conclusions. With the support of appropriate parameters, our model can simulate and analyze tumor radiotherapy plans, and provide certain theoretical guidance for the personalized optimization of radiotherapy. It is expected that in the near future, the mathematical models will become valuable tools for optimizing personalized medicine.","PeriodicalId":220599,"journal":{"name":"2022 International Conference on System Science and Engineering (ICSSE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114208448","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}

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IEEE Copyright and Consent Form IEEE版权及同意表格

2022 International Conference on System Science and Engineering (ICSSE) Pub Date : 2022-05-26 DOI: 10.1109/icsse55923.2022.9947355

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Measuring Efficiencies of the Recycling Production System 测量回收生产系统的效率

2022 International Conference on System Science and Engineering (ICSSE) Pub Date : 2022-05-26 DOI: 10.1109/ICSSE55923.2022.9948233

F. Liu, G. Yu, C. F. Hu

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IEEE Copyright and Consent Form IEEE版权及同意表格

2022 International Conference on System Science and Engineering (ICSSE) Pub Date : 2022-05-26 DOI: 10.1109/icsse55923.2022.9948236

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LiDAR-Based Pedestrian Detection Using Multiple Features and Dimensionality Reduction Scheme 基于多特征和降维方案的激光雷达行人检测

2022 International Conference on System Science and Engineering (ICSSE) Pub Date : 2022-05-26 DOI: 10.1109/ICSSE55923.2022.9948235

Sin-Ye Jhong, Yu-Quan Wang, Wei Cheng, Hao-Wei Hwang, Yung-Yao Chen

{"title":"LiDAR-Based Pedestrian Detection Using Multiple Features and Dimensionality Reduction Scheme","authors":"Sin-Ye Jhong, Yu-Quan Wang, Wei Cheng, Hao-Wei Hwang, Yung-Yao Chen","doi":"10.1109/ICSSE55923.2022.9948235","DOIUrl":"https://doi.org/10.1109/ICSSE55923.2022.9948235","url":null,"abstract":"In recent years, the development of LiDAR received plenty of attention in autopilot filed because of its long-distant detection and 360-degree vision which make self-driving safer under harsh situation. However, because point cloud is sparse and has inhomogeneous representation, it may lead to error detection, especially when detecting distant or small objects (e.g., pedestrians, traffic signs). In order to mitigate lack of feature information which is triggered by above issues, some researchers proposed multi-views or multi sensor fusion methods to increase dimensionality of feature to complement missing information, but it would result in an unnecessary computation because of feature redundancy and imbalance. In this paper, we proposed a scheme of dimensionality reduction based on variational autoencoder (VAE). Through its encoder, the high-dimensional feature is refined and mapped into a meaningful low-dimensional feature space that still retains representative features. We designed a pedestrian detection framework using our method and from the experimental results, our method achieved better performance compared to previous work.","PeriodicalId":220599,"journal":{"name":"2022 International Conference on System Science and Engineering (ICSSE)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115973122","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}

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IEEE Copyright and Consent Form IEEE版权及同意表格

2022 International Conference on System Science and Engineering (ICSSE) Pub Date : 2022-05-26 DOI: 10.1109/ICSSE55923.2022.9948237

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IEEE Copyright and Consent Form IEEE版权及同意表格

2022 International Conference on System Science and Engineering (ICSSE) Pub Date : 2022-05-26 DOI: 10.1109/ICSSE55923.2022.9948263

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IEEE Copyright and Concent Form IEEE版权和内容表

2022 International Conference on System Science and Engineering (ICSSE) Pub Date : 2022-05-26 DOI: 10.1109/ICSSE55923.2022.9947360

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IEEE Copyright and Consent Form IEEE版权及同意表格

2022 International Conference on System Science and Engineering (ICSSE) Pub Date : 2022-05-26 DOI: 10.1109/ICSSE55923.2022.9947364

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