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2022 International Conference on System Science and Engineering (ICSSE)最新文献

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IEEE Copyright and Consent Form IEEE版权及同意表格
Pub Date : 2022-05-26 DOI: 10.1109/ICSSE55923.2022.9948266
Presents the copyright information for the conference. May include reprint permission information.
展示会议的版权信息。可能包括转载许可信息。
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引用次数: 0
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
Pub Date : 2022-05-26 DOI: 10.1109/ICSSE55923.2022.9947363
Wei-Fu Li, Chung-Yih Wang, Kuo-Wei Chen, H. Samani, Changguo Yang
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.
肺癌是世界上最致命的疾病之一。治疗肺癌最有效的方法是放疗和化疗。在本文中,我们的重点是放疗。现在,数学模型已经扩展到生物医学的许多领域,为分析、评价、预测和优化提供帮助。方法。本文在经典Gompertz肿瘤模型的基础上,提出了肿瘤生长的数学模型,并采用适当的参数得到放疗模型。该模型通过计算机模拟拟合了大量的研究和临床数据,分析了一定剂量和α/β值对放疗效果的影响,并提供了与肺癌细胞体外生长一致的结果。结果。采用优化技术,使模型运行稳定。仿真结果表明,部分放疗剂量和α/β值在放疗过程中有显著变化。该数学模型可为放射治疗方案的分析和评价提供基础工作。结论。在适当的参数支持下,我们的模型可以模拟和分析肿瘤放疗方案,为个性化优化放疗提供一定的理论指导。预计在不久的将来,数学模型将成为优化个性化医疗的宝贵工具。
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引用次数: 0
IEEE Copyright and Consent Form IEEE版权及同意表格
Pub Date : 2022-05-26 DOI: 10.1109/icsse55923.2022.9947355
Presents the copyright information for the conference. May include reprint permission information.
展示会议的版权信息。可能包括转载许可信息。
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引用次数: 0
Measuring Efficiencies of the Recycling Production System 测量回收生产系统的效率
Pub Date : 2022-05-26 DOI: 10.1109/ICSSE55923.2022.9948233
F. Liu, G. Yu, C. F. Hu
Facing the global climate change and resource exhaustion, the so-called "Circular Economy" has become a solution for the global ecological system sustaining and industrial innovation development. A circular economy model makes economic production activity as a closed-loop feedback cycle in which materials are shared, re-used, and continuously cycled. Improving the eco-efficiency of a circular economy system has both theoretical value and practice meaning. In this work, a slack-based measure approach was developed for measuring efficiencies of the circular economy system. An application of the proposed method for assessing the recycling production system of EU countries was studied. Novel findings were also included.
面对全球气候变化和资源枯竭,所谓的“循环经济”已经成为全球生态系统可持续发展和产业创新发展的解决方案。循环经济模型使经济生产活动成为一个闭环反馈循环,在这个循环中,材料被共享、再利用和不断循环。提高循环经济系统的生态效率具有理论价值和实践意义。在这项工作中,开发了一种基于松弛的测量方法来测量循环经济系统的效率。研究了该方法在欧盟国家循环生产系统评价中的应用。新发现也包括在内。
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引用次数: 0
IEEE Copyright and Consent Form IEEE版权及同意表格
Pub Date : 2022-05-26 DOI: 10.1109/icsse55923.2022.9948236
Presents the copyright information for the conference. May include reprint permission information.
展示会议的版权信息。可能包括转载许可信息。
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引用次数: 0
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
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
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.
近年来,激光雷达的发展在自动驾驶领域受到了广泛的关注,因为它具有远距离探测和360度的视野,使自动驾驶在恶劣的情况下更加安全。然而,由于点云是稀疏的,并且具有非均匀的表示,因此可能导致错误检测,特别是在检测远处或小的物体(例如行人,交通标志)时。为了缓解上述问题引发的特征信息缺失,一些研究人员提出了多视图或多传感器融合方法,通过增加特征的维数来补充缺失的信息,但由于特征的冗余和不平衡,会导致不必要的计算。本文提出了一种基于变分自编码器(VAE)的降维方案。通过它的编码器,高维特征被细化并映射到一个有意义的低维特征空间,但仍然保留了代表性的特征。我们利用该方法设计了一个行人检测框架,实验结果表明,我们的方法取得了比前人更好的性能。
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引用次数: 0
IEEE Copyright and Consent Form IEEE版权及同意表格
Pub Date : 2022-05-26 DOI: 10.1109/ICSSE55923.2022.9948237
Presents the copyright information for the conference. May include reprint permission information.
展示会议的版权信息。可能包括转载许可信息。
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引用次数: 0
IEEE Copyright and Consent Form IEEE版权及同意表格
Pub Date : 2022-05-26 DOI: 10.1109/ICSSE55923.2022.9948263
Presents the copyright information for the conference. May include reprint permission information.
展示会议的版权信息。可能包括转载许可信息。
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引用次数: 0
IEEE Copyright and Concent Form IEEE版权和内容表
Pub Date : 2022-05-26 DOI: 10.1109/ICSSE55923.2022.9947360
Presents the copyright information for the conference. May include reprint permission information.
展示会议的版权信息。可能包括转载许可信息。
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引用次数: 0
IEEE Copyright and Consent Form IEEE版权及同意表格
Pub Date : 2022-05-26 DOI: 10.1109/ICSSE55923.2022.9947364
Presents the copyright information for the conference. May include reprint permission information.
展示会议的版权信息。可能包括转载许可信息。
{"title":"IEEE Copyright and Consent Form","authors":"","doi":"10.1109/ICSSE55923.2022.9947364","DOIUrl":"https://doi.org/10.1109/ICSSE55923.2022.9947364","url":null,"abstract":"Presents the copyright information for the conference. May include reprint permission information.","PeriodicalId":220599,"journal":{"name":"2022 International Conference on System Science and Engineering (ICSSE)","volume":"5 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":"127438832","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
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2022 International Conference on System Science and Engineering (ICSSE)
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