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2021 11th International Conference on Information Technology in Medicine and Education (ITME)最新文献

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Dependent Hamacher Aggregation Operators for Complex q-Rung Orthopair Fuzzy Sets and Their Application 复q-Rung正形模糊集的相关Hamacher聚合算子及其应用
Wei-Hua Liu, Ling Li
Complex q-rung orthopair fuzzy sets (Cq-ROFS) become one of the effective tools to deal with unresolved and complex information. In recent years, a variety of multi-attribute decision making(MADM) methods have been developed in the Cq-ROFS environment, such as complex intuitionistic fuzzy set (CIFS) and complex Pythagorean fuzzy sets(CPFS). Cq-ROFS is superior to CIFs and CPFS, which can describe a wider range of uncertain information spaces. Therefore, this paper studies MADM based on Cq-ROFS. However, decision making experts may have personal biases. In order to reduce the influence of individual preference on decision-making, the dependent Hamacher aggregation operators for Complex q-rung orthopair fuzzy sets(Cq-ROFDHA) are proposed based on the Hamacher operation and dependent method. The operator can improve personal bias by assigning lower weights to biased evaluations (unduly high or unduly low values) and higher weights to mid values. Firstly, the basic operation rules, score function, distance and properties of Cq-ROFDHA are described. We then applied Cq-ROFDHA to service utility decisions for online health communities. Finally, we compare it with other aggregation factors. The results show that the Cq-ROFDHA operator has the advantages of consistency and superiority.
复q阶正形模糊集(Cq-ROFS)是处理复杂信息的有效工具之一。近年来,在Cq-ROFS环境下开发了多种多属性决策方法,如复杂直觉模糊集(CIFS)和复杂毕达哥拉斯模糊集(CPFS)。Cq-ROFS优于CIFs和CPFS,可以描述更大范围的不确定信息空间。因此,本文研究了基于Cq-ROFS的MADM。然而,决策专家可能有个人偏见。为了降低个体偏好对决策的影响,在Hamacher运算和依赖方法的基础上,提出了复q阶正形模糊集的依赖Hamacher聚合算子(Cq-ROFDHA)。操作者可以通过将较低的权重分配给有偏差的评估(过高或过低的值)和较高的权重分配给中间值来改善个人偏见。首先,介绍了Cq-ROFDHA的基本操作规则、评分函数、距离和性质。然后,我们将Cq-ROFDHA应用于在线健康社区的服务效用决策。最后,将其与其他聚集因子进行比较。结果表明,Cq-ROFDHA算子具有一致性和优越性。
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引用次数: 1
[Copyright notice] (版权)
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引用次数: 0
Driven by Subject Competitions to Cultivate College Students' Innovation and Entrepreneurship Ability 以学科竞赛为动力培养大学生创新创业能力
Rui Zhang, Huijian Han
In order to improve the practical teaching level of digital media specialty, this article focuses on innovation and entrepreneurship education. Starting from the practical teaching link of digital media specialty, we deeply analyzes the educational connotation of innovation and entrepreneurship ability, so as to improve the quality of professional talent training. The article proposes to build a platform for college students' innovation and entrepreneurship, driven by subject competitions and relying on open laboratories. On this basis, we fully integrate the local digital media industry, and actively carry out the reform of digital media professional practice teaching methods. At present, it has been promoted in the School of Computer Science and Technology of our university, and the pilot has achieved remarkable results.
为了提高数字媒体专业的实践教学水平,本文着重从创新创业教育入手。从数字媒体专业实践教学环节入手,深入剖析创新创业能力的教育内涵,提高专业人才培养质量。文章提出以学科竞赛为驱动,以开放实验室为依托,构建大学生创新创业平台。在此基础上,充分整合当地数字媒体行业,积极开展数字媒体专业实践教学方法改革。目前已在我校计算机科学与技术学院推广,试点取得显著成效。
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引用次数: 0
Anti-Electromagnetic Interference Design for Railway Vehicles in Complex Electromagnetic Environment 复杂电磁环境下轨道车辆抗电磁干扰设计
Ta Zhao, Caixin Fu, Gang Song, Lin Wang, Xiaotong Mu
With the increasing applications of information and communication technology in rail transit systems, the electronic and electrical devices in railway vehicles causes the serious electromagnetic interference (EMI) problem among any subsystems and devices. In this paper, an anti-EMI design scheme for railway vehicles is proposed, which can improve the anti-EMI ability of whole railway vehicles in terms of shielding, grounding, filtering and wiring. Based on Shanghai Metro Lines 4 and 6, the system implementation and testing are performed. The test results show that the proposed scheme can be effective and efficient to resolve the electromagnetic compatibility (EMC) problem.
随着信息通信技术在轨道交通系统中的应用日益广泛,轨道车辆上的电子电气设备在各个子系统和设备之间产生了严重的电磁干扰问题。本文提出了一种铁路车辆抗电磁干扰设计方案,从屏蔽、接地、滤波和布线等方面提高了铁路车辆整体的抗电磁干扰能力。以上海地铁4号线和6号线为例,进行了系统实现和测试。测试结果表明,该方案能够有效地解决电磁兼容问题。
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引用次数: 3
TraditionalChineseMedicine characteristic therapy treats obstinate hiccup 中医特色疗法治疗顽固性呃逆
Shengda Lu, Xiaofa Liu, Ruiyu Li, S. Jia
Objective: To summarize the curative effect of TCM characteristic therapy on intractable hiccup. Methods: The literature database of TCM characteristic therapy for intractable hiccup was searched and classified, including traditional Chinese medicine, moxibustion therapy, cupping, bloodletting therapy, ear point bean pressing and other treatment methods. Results: The characteristic therapy of Traditional Chinese medicine, moxibustion therapy, cupping therapy, bloodletting therapy, ear point pressing bean treatment of intractable hiccup can relieve the symptoms of hiccup alone or combined, combined application can shorten the disease, reduce the patient's pain and treatment cost. Conclusion: TCM characteristic therapy is effective in treating intractable hiccup, with rapid symptom relief and low recurrence rate. Comprehensive application is better than single application.
目的:总结中药特征性治疗顽固性呃逆的疗效。方法:检索难治性呃逆中医特色治疗文献数据库并进行分类,包括中药、艾灸疗法、拔火罐、放血疗法、耳穴豆压等治疗方法。结果:顽固性呃逆的中医特色疗法、艾灸疗法、拔火罐疗法、放血疗法、耳穴压豆疗法均可单独或联合缓解呃逆症状,联合应用可缩短病程,减少患者痛苦,降低治疗费用。结论:中药特征性疗法治疗顽固性呃逆疗效显著,症状缓解快,复发率低。综合应用优于单一应用。
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引用次数: 0
News Recommendation Based On Multi-Feature Sequence Transformer 基于多特征序列变压器的新闻推荐
Chenghao Wang, Jin Gou, Zongwen Fan
Personalized news recommendation system aims to screen out the news that users are interested in from explosion amount of news for display. In recent years, deep learning methods have been widely used in news recommendation system. However, whether in traditional news recommendation methods or advanced deep learning models, most of them are only modeled after feature extraction of news titles or modeled after adding user preferences. There are two problems: insufficient expression of news and insufficient exploration of the implicit meaning of users, continuous behavior. Therefore, in this paper, we propose a news recommendation model based on a multi-feature sequence transformer (MFST). It first extracts multiple attributes of news and merges them together for learning unified news representation. Secondly, a powerful Transformer component is applied to process the user's historical reading behavior seq uence information to express the news in more details by strengthening the learning ability of news representation and capturing the meaning behind the user's continuous historical reading behaviors. In addition, we also attached an attention network to calculate the closeness of the clicked news to the candidate news. Experimental results based on the real-world news dataset confirmed that our proposed MFST model is effective for personalized news recommendation compared the state-of-the-art deep learning models.
个性化新闻推荐系统旨在从海量新闻中筛选出用户感兴趣的新闻进行展示。近年来,深度学习方法在新闻推荐系统中得到了广泛应用。然而,无论是传统的新闻推荐方法,还是高级的深度学习模型,大多数都只是对新闻标题进行特征提取或加入用户偏好后进行建模。存在两个问题:对新闻的表达不足和对用户行为的隐含意义挖掘不足。因此,本文提出了一种基于多特征序列变压器(MFST)的新闻推荐模型。它首先提取新闻的多个属性,并将它们合并在一起,学习统一的新闻表示。其次,利用功能强大的Transformer组件对用户历史阅读行为序列信息进行处理,通过强化新闻表示的学习能力,捕捉用户连续历史阅读行为背后的意义,更详细地表达新闻。此外,我们还附加了一个关注网络来计算被点击新闻与候选新闻的亲密度。基于真实新闻数据集的实验结果证实,与最先进的深度学习模型相比,我们提出的MFST模型对于个性化新闻推荐是有效的。
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引用次数: 0
EMC Vehicle-Level Layout Design for Railway Vehicles in Complex Electromagnetic Environment 复杂电磁环境下轨道车辆的电磁兼容车级布局设计
Ta Zhao, X. Liu, Ping Sun, Ming An, Xiaotong Mu
Currently, with the rapid urbanization process in China, rail transport systems have become a good solution to the traffic jam problem. Their electromagnetic compatibility (EMC) plays an important role in the safe and reliable operation of railway vehicles. Therefore, this paper proposes an EMC vehicle-level layout scheme for railway vehicles, and designs their electrical device layout and wiring layout. Meanwhile, based on the device distribution, the railway vehicles are divided into three parts, i.e. the roof, the interior and the bottom, and their corresponding EMC partition layouts are given. Finally, taking the Shanghai Metro Line 6 as an example, the proposed EMC layout scheme is tested. The test results show that the proposed scheme can meet the requirements of EMC standards for the railway vehicles and guarantee their predefined safe and reliable operation.
目前,随着中国城市化进程的加快,轨道交通系统已经成为解决交通拥堵问题的一个很好的方法。它们的电磁兼容性对轨道车辆的安全可靠运行起着至关重要的作用。为此,本文提出了一种轨道车辆的电磁兼容车级布置图方案,并对其电气装置布置图和布线布置图进行了设计。同时,根据设备分布将轨道车辆分为车顶、车厢内部和车厢底部三部分,并给出了相应的电磁兼容性分区布局。最后,以上海地铁6号线为例,对所提出的EMC布局方案进行了验证。试验结果表明,该方案能够满足轨道车辆电磁兼容标准的要求,保证轨道车辆安全可靠运行。
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引用次数: 0
An Analysis of the Current Situation of Computer Basic Courses in a Medical University and Its Countermeasures 某医科大学计算机基础课教学现状分析及对策
Guihua Liu, Gan Wang, Jincai Wang, Yuzhong Peng
Based on investigations of the current situation of deep learning in computer basic courses in a certain medical university, the study aims to analyze the reasons of shallow learning in computer basic courses and find out the deep learning strategies. The questionnaire is designed from four dimensions: learning motivation, teaching methods, learning methods and learning effects. The results of the questionnaire show that the reasons for the lack of deep learning of computer basic courses are as follows: lack of novel content, too large class size, uneven basic level of students, only shallow learning for examinations and single evaluation method. The conclusion is introducing the teaching concept of deep learning into computer basic courses can change the teaching paradigm for the purpose of knowledge transfer and enable students to deeply participate in and effectively experience learning.
本研究通过对某医科大学计算机基础课程深度学习现状的调查,分析计算机基础课程浅学习的原因,并找出深度学习的策略。问卷从学习动机、教学方法、学习方法和学习效果四个维度进行设计。问卷调查结果显示,计算机基础课程深度学习不足的原因有:内容新颖不足、班级规模过大、学生基础水平参差不齐、应试学习肤浅、评价方法单一。结论是在计算机基础课程中引入深度学习的教学理念,可以改变以知识转移为目的的教学范式,使学生深度参与并有效体验学习。
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引用次数: 0
Distributed State Estimation for Large-Scale Systems in the Presence of Data Packet Drops 存在数据包丢失的大规模系统的分布式状态估计
Xiao Fu, Xinmin Song
This article focuses on the distributed state estimation problem for large-scale systems in the presence of data packet drops. The large-scale system is structured in several correlated subsystems in the physical space, and each subsystem only communicates with its neighbors. In particular, the states of different subsystems are measured by different sensors, and the sensor broadcasts measurement information to the subestimator and its neighbors through the lossy communication channel. Thus, subestimators obtain different local information in the presence of data packet drops. In this article, the distributed estimator is designed and the optimal gain is obtained under the minimum mean square error (MMSE) estimation criterion by using local information set. Finally, the effectiveness of the distributed estimator is illustrated by a simulation experiment.
本文主要研究大规模系统中存在数据包丢失的分布式状态估计问题。大系统在物理空间中由多个相互关联的子系统构成,每个子系统只与相邻子系统通信。特别地,不同子系统的状态由不同的传感器测量,传感器通过有损通信信道将测量信息广播给下估计器及其邻居。因此,在存在数据包丢失的情况下,次估计器获得不同的局部信息。本文设计了分布式估计器,利用局部信息集在最小均方误差(MMSE)估计准则下获得最优增益。最后,通过仿真实验验证了分布式估计器的有效性。
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引用次数: 0
Selection of cancer treatment protocol evaluation based on multi-objective 基于多目标评价的肿瘤治疗方案选择
Huang Dong-xin, Jiao Yi, Shang Zhao-Xia
In order to select more accurate cancer treatment protocol and help decision makers to choose the best plan from all cancer treatment protocol more scientifically and more quickly, a cancer treatment plan evaluation algorithm based on multi-objective system is designed in this paper. Through intelligent method it can achieve a reasonable transforming between clinical data and treatment protocol evaluation data. At the same time, Multi-objective model analysis of typical cases and simulated calculation are carried out. By comparing with the original results, the objective of rapid sorting and evaluation of cancer treatment protocol is achieved effectively.
为了选择更准确的癌症治疗方案,帮助决策者更科学、更快速地从所有癌症治疗方案中选择最佳方案,本文设计了一种基于多目标系统的癌症治疗方案评价算法。通过智能方法实现临床数据与治疗方案评价数据之间的合理转换。同时,对典型案例进行了多目标模型分析和仿真计算。通过与原有结果的比较,有效地达到了快速筛选和评价肿瘤治疗方案的目的。
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引用次数: 0
期刊
2021 11th International Conference on Information Technology in Medicine and Education (ITME)
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