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Proceedings of the 2019 International Conference on Data Mining and Machine Learning最新文献

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Gene clustering, enrichment and survival analysis of differentially expressed genes in Low Grade Glioma between different genders by big data analysis 大数据分析低分级胶质瘤不同性别差异表达基因聚类、富集及生存分析
Jianzhi Deng, Xiaohui Cheng, Yuehan Zhou
In this study, we aim to reveal the relationship between differentially expressed mRNAs and genders in low grade glioma (LGG) patients. Based on the downloaded RNA-seq files of LGG patients from The Cancer Genome Atlas database (TCGA), 89 differentially expressed mRNAs between male and female were screened out by clustering analysis. The differentially expressed mRNAs were analyzed by DAVID and KOBAS online tools. The differentially expressed mRNAs were enriched in 67 gene ontology terms, including cellular components, biological processes and molecular functions group and 7 signaling pathways. Then, the differentially expressed mRNAs were divided into two parts according to the expression level. The high-expressed mRNAs and low-expressed mRNAs were all analyzed with the clinical survival data by Kaplan-meier method and kmplot survival curves. In comparison with the LGG female patients, male patients with a differential expression mRNAs were closely related to the higher risk of LGG.
在这项研究中,我们旨在揭示低级别胶质瘤(LGG)患者差异表达mrna与性别之间的关系。基于从the Cancer Genome Atlas database (TCGA)中下载的LGG患者RNA-seq文件,通过聚类分析筛选出89个男女差异表达mrna。通过DAVID和KOBAS在线工具分析差异表达mrna。差异表达mrna富集于67个基因本体术语,包括细胞组分、生物过程和分子功能群以及7个信号通路。然后,根据表达水平将差异mrna分成两部分。采用Kaplan-meier法和kmplot生存曲线分析高表达mrna和低表达mrna的临床生存数据。与LGG女性患者相比,mrna表达差异的男性患者与LGG的高风险密切相关。
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引用次数: 9
Innovation of Data Mining & Screening System under Big Data: Take a case as NIMBY 大数据下的数据挖掘与筛选系统创新——以邻避为例
Minxuan Li
With the growing maturity of web crawler technology and the advent of the era of big data, when you want to study some problems, you can directly get all the data related to them through web crawlers and other means, but it is more important to mining and filter the data to get valuable data for the research content. This study which based on the word list of keywords uses CRN network to construct semantic distance table and TOPSIS evaluation system to sort data to make sure researchers can obtain quantitative screening data with research value and to provide researchers with scientific screening methods.
随着网络爬虫技术的日益成熟和大数据时代的到来,当你想要研究一些问题时,你可以通过网络爬虫等手段直接获得与之相关的所有数据,但对数据进行挖掘和过滤,为研究内容获取有价值的数据更为重要。本研究以关键词词表为基础,利用CRN网络构建语义距离表和TOPSIS评价系统对数据进行排序,确保研究者能够获得具有研究价值的定量筛选数据,为研究者提供科学的筛选方法。
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引用次数: 0
Research on Interface Design of Air Conditioning Intelligent APP Based on User Experience 基于用户体验的空调智能APP界面设计研究
Ruifang Zhang, Yangxue Liu
In order to improve the current air-conditioning APP interface, the function is simple and simple, the operation convenience is insufficient, and the interface is not beautiful. Through the research and analysis of user needs, the primary and secondary requirements are obtained, and the user experience is taken as the main consideration of APP interface design. At the same time, the intelligent and minimalist design principles are integrated into the interface design, and the prototype design of the interface is completed. According to the user's functional experience evaluation of the design prototype, perfect the design prototype and product development design, and finally test the product satisfaction. Overall user satisfaction increased from 72% to 81%. Conclusion The intelligent air conditioner APP basically meets the design requirements, especially the monitoring of energy consumption.
为了改进目前的空调APP界面,功能简单简单,操作方便性不足,界面不美观。通过对用户需求的研究和分析,得出用户的主次需求,并将用户体验作为APP界面设计的主要考虑因素。同时将智能化、极简化的设计原则融入到界面设计中,完成界面的原型设计。根据用户的功能体验评价设计原型,完善设计原型和产品开发设计,最后测试产品满意度。总体用户满意度从72%上升到81%。结论智能空调APP基本满足设计要求,尤其是能耗监测。
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引用次数: 2
Research on Internet of Vehicles Gateway based on RTSJ 基于RTSJ的车联网网关研究
Teng Haikun, Liu Xinsheng, Li Lunbin
In order to promote the integration of automobile network and Internet, Internet of Vehicles gateway plays an important role in connecting vehicle-borne network and Internet. In view of the current developers using traditional development methods to achieve Internet of Vehicles gateway software, a new implementation scheme -- real-time Java technology is introduced. This paper takes the AMD Opteron 1150 processor based on the ARM Cortex-A57 architecture as the core to build the hardware platform of the Internet of Vehicles gateway, and gives the overall structure diagram and hardware connection scheme of the Internet of Vehicles system. The gateway adopts the networking scheme of "4G+ sensor network technology/field bus" and realizes wireless data interaction on the basis of real-time operating system. In addition, the data communication of Internet of Vehicles (three-layer communication structure) is realized on the WebSphere Real Time development platform that is fully compatible with RTSJ, so as to realize data sharing between the automobile bus network and the Internet. Finally, the implementation technology and system verification of the design are given.
为了促进车联网与互联网的融合,车联网网关在连接车联网与互联网方面发挥着重要作用。针对目前开发人员采用传统开发方法实现车联网网关软件的现状,介绍了一种新的实现方案——实时Java技术。本文以基于ARM Cortex-A57架构的AMD Opteron 1150处理器为核心构建了车联网网关的硬件平台,并给出了车联网系统的总体结构图和硬件连接方案。网关采用“4G+传感器网络技术/现场总线”的组网方案,在实时操作系统的基础上实现无线数据交互。此外,车联网的数据通信(三层通信结构)在完全兼容RTSJ的WebSphere Real Time开发平台上实现,从而实现汽车总线网络与互联网之间的数据共享。最后给出了设计的实现技术和系统验证。
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引用次数: 0
Speech Recognition Model Based on Deep Learning And Application in Pronunciation Quality Evaluation System 基于深度学习的语音识别模型及其在语音质量评价系统中的应用
Teng Haikun, W. Shiying, Liu Xinsheng, Xiaodong Yue
In order to improve the performance of the speech recognition and pronunciation quality evaluation system, the deep learning-based computer aided foreign language pronunciation evaluation and learning system has become a research focus of current artificial intelligence technology. Combining with the current advanced voice information technology theory, based on the previous research results, proposed to sparse since the encoder deep learning neural network is applied to speech recognition, using sparse automatic encoder based on MFCC features in-depth study, the imitation of the auditory nerve sparse touches the depth of feature extracting signal, beneficial to the improvement of the HMM model for speech recognition accuracy, meet the needs of the current computer assisted English teaching. The simulation results show that the recognition rate of the deep learning neural network is obviously superior to that of the traditional speech recognition algorithm, which realizes more accurate human-computer interaction and improves the reliability of the evaluation of the quality of foreign language pronunciation.
为了提高语音识别与语音质量评价系统的性能,基于深度学习的计算机辅助外语语音评价与学习系统成为当前人工智能技术的研究热点。结合当前先进的语音信息技术理论,在前人研究成果的基础上,提出将稀疏自编码器深度学习神经网络应用于语音识别,利用基于MFCC的稀疏自编码器特征进行深入研究,模仿听觉神经的稀疏触点深度特征提取信号,有利于提高HMM模型用于语音识别的准确率;满足当前计算机辅助英语教学的需要。仿真结果表明,深度学习神经网络的识别率明显优于传统语音识别算法,实现了更精确的人机交互,提高了外语语音质量评价的可靠性。
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引用次数: 10
Machine Learning Methods for Estimating the Excitation Point on a Plucked String of a Classical Guitar 估计古典吉他拨弦激励点的机器学习方法
Carl Timothy Tolentino, F. Panganiban, F. D. de Leon
The classical guitar is described as a "miniature orchestra" due to the various tone colors that it can produce. One parameter that can control the timbre on the guitar is the excitation point on the string. In this study, a machine learning model was built to determine the excitation point on the string given an audio signal. It was noted that including the mel-frequency cepstral coefficients in the feature set yields outstanding performance. Furthermore, principal component analysis can be used to reduce the dimensions without sacrificing much on performance. Among three well-known algorithms, it was observed that the multi-layer perceptron yields the best performance in terms of classification and regression. Lastly, the models were trained and tested on different subjects and it was noted that each subject has a unique model of its own since different subjects have different physiological parameters that can affect the produced guitar tone.
古典吉他被描述为一个“微型管弦乐队”,因为它可以产生各种各样的音调颜色。可以控制吉他音色的一个参数是弦上的激励点。在本研究中,建立了一个机器学习模型来确定给定音频信号的字符串上的激励点。值得注意的是,在特征集中包括mel频率倒谱系数可以产生出色的性能。此外,主成分分析可以在不牺牲太多性能的情况下减少维数。在三种已知的算法中,多层感知器在分类和回归方面的性能最好。最后,这些模型在不同的对象上进行了训练和测试,需要注意的是,每个对象都有自己独特的模型,因为不同的对象有不同的生理参数,这些参数会影响产生的吉他音调。
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引用次数: 1
Research on Insulator Creepage Distance Measurement Based on Different Photographic Equipment 基于不同摄影设备的绝缘子爬电距离测量研究
Hanmin Ye, Ziyi Zhong, ShiMing Huang
In order to measure the creepage distance of the post insulator, this paper proposes a method for calculating the length of curve which without equation, and chose two typical photographic equipment like cellphone and camera, to research the experimental results of this method when use different equipment. The first, two equipment are used to take pictures in the same environment, and then preprocess this images to get creepage path of the insulator, finally, the actual creepage distance of the insulator is counted by calculating the length of the path in picture. The experimental results show that the method in this paper is able to calculate the creepage distance, and the error is low, so it can be used in different photographic equipment.
为了测量立柱绝缘子爬电距离,本文提出了一种无需方程的曲线长度计算方法,并选择手机和相机两种典型的摄影设备,研究了该方法在使用不同设备时的实验结果。首先,利用两台设备在同一环境下拍摄图像,对图像进行预处理,得到绝缘子的爬电路径,最后通过计算图像中爬电路径的长度,计算出绝缘子的实际爬电距离。实验结果表明,本文方法能够计算出爬电距离,且误差小,可适用于不同的摄影设备。
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引用次数: 0
Emotion Analysis of Tourists Based on Domain Ontology 基于领域本体的游客情感分析
Jiabin Pan, Naixia Mou, Wenbao Liu
The big data of tourism has exploded with the rapid development of social media, providing a new data source for the emotion analysis of tourism. Based on online comments, this paper proposes an emotion analysis model that combines tourism domain ontology and semantic-based method to mine the fine-grained emotion of tourists and designs specific formulas to quantify the emotion of tourists. Finally, the Palace Museum is used as an example to verify the validity of the model. The analysis results show that: 1) Tourists pay more attention to the attributes such as "scenery", "tourist flow", "ticket", etc. in their travel activities. 2) The emotional score of the attributes such as "lodging environment", "scenery", "culture", "environment quality", etc. are higher, but the attributes such as "safety", "tourist flow", "toilet" and cost-related attributes are lower. The main reasons are: "low security", "massive tourists", "less and small toilets" and "high costs". 3) Due to the excessive number of tourists during the holiday, which leads poor travel experience to the tourists, the emotional score of tourists are lower in the 5th, 7th, 8th and 10th months. The analysis results can provide reference for tourists' travel decisions and the development and optimization of tourism.
随着社交媒体的快速发展,旅游大数据爆发,为旅游情感分析提供了新的数据来源。基于在线评论,提出了一种结合旅游领域本体和基于语义的方法挖掘游客细粒度情感的情感分析模型,并设计了量化游客情感的具体公式。最后,以故宫博物院为例,验证了模型的有效性。分析结果表明:1)游客在旅游活动中更注重“风景”、“客流”、“票务”等属性。2)“住宿环境”、“风景”、“文化”、“环境质量”等属性的情感得分较高,而“安全”、“客流”、“厕所”和成本相关属性的情感得分较低。主要原因是:“安全性低”、“游客多”、“厕所少而小”和“成本高”。3)由于假期期间游客数量过多,导致游客的旅游体验不佳,游客在第5、7、8、10个月的情感得分较低。分析结果可为游客的旅游决策和旅游业的发展与优化提供参考。
{"title":"Emotion Analysis of Tourists Based on Domain Ontology","authors":"Jiabin Pan, Naixia Mou, Wenbao Liu","doi":"10.1145/3335656.3335701","DOIUrl":"https://doi.org/10.1145/3335656.3335701","url":null,"abstract":"The big data of tourism has exploded with the rapid development of social media, providing a new data source for the emotion analysis of tourism. Based on online comments, this paper proposes an emotion analysis model that combines tourism domain ontology and semantic-based method to mine the fine-grained emotion of tourists and designs specific formulas to quantify the emotion of tourists. Finally, the Palace Museum is used as an example to verify the validity of the model. The analysis results show that: 1) Tourists pay more attention to the attributes such as \"scenery\", \"tourist flow\", \"ticket\", etc. in their travel activities. 2) The emotional score of the attributes such as \"lodging environment\", \"scenery\", \"culture\", \"environment quality\", etc. are higher, but the attributes such as \"safety\", \"tourist flow\", \"toilet\" and cost-related attributes are lower. The main reasons are: \"low security\", \"massive tourists\", \"less and small toilets\" and \"high costs\". 3) Due to the excessive number of tourists during the holiday, which leads poor travel experience to the tourists, the emotional score of tourists are lower in the 5th, 7th, 8th and 10th months. The analysis results can provide reference for tourists' travel decisions and the development and optimization of tourism.","PeriodicalId":396772,"journal":{"name":"Proceedings of the 2019 International Conference on Data Mining and Machine Learning","volume":"91 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131657755","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
The Simulation and Research of Fire Spread Situation Based on OSG 基于OSG的火灾蔓延情况模拟与研究
X. Xie, Jianwei Wang, Han Qin, Xiaochun Cheng
The development of fire is often unpredictable, and the scale of fire spread is so large that fire rescue is difficult to grasp the whole site. This paper mainly predicts the area of fire spread based on the idea of DBSCAN algorithm, and simulates the spread trend of the disaster, with the image of open source scene. The particle system of OSG (Open Scene Graph) simulates the fire and its situation in three-dimensional scenes. Through the VS2017 and OSG development environment, the algorithm is simulated by the program to verify the practicability of the fire situation in the virtual simulation. This provides a feasible way to establish a realistic prediction of fire spread situation, and implements the fire suppression. The program provides a new reference.
火灾的发展往往是不可预测的,而且火势蔓延的规模如此之大,以至于消防救援很难掌握整个现场。本文主要基于DBSCAN算法的思想对火灾蔓延区域进行预测,并利用开源场景图像对火灾蔓延趋势进行模拟。OSG (Open Scene Graph)的粒子系统在三维场景中模拟火灾及其情况。通过VS2017和OSG开发环境,对该算法进行了程序仿真,验证了该算法在火灾情况虚拟仿真中的实用性。这为建立真实的火灾蔓延情况预测,实现火灾扑灭提供了可行的途径。该方案提供了新的参考。
{"title":"The Simulation and Research of Fire Spread Situation Based on OSG","authors":"X. Xie, Jianwei Wang, Han Qin, Xiaochun Cheng","doi":"10.1145/3335656.3335703","DOIUrl":"https://doi.org/10.1145/3335656.3335703","url":null,"abstract":"The development of fire is often unpredictable, and the scale of fire spread is so large that fire rescue is difficult to grasp the whole site. This paper mainly predicts the area of fire spread based on the idea of DBSCAN algorithm, and simulates the spread trend of the disaster, with the image of open source scene. The particle system of OSG (Open Scene Graph) simulates the fire and its situation in three-dimensional scenes. Through the VS2017 and OSG development environment, the algorithm is simulated by the program to verify the practicability of the fire situation in the virtual simulation. This provides a feasible way to establish a realistic prediction of fire spread situation, and implements the fire suppression. The program provides a new reference.","PeriodicalId":396772,"journal":{"name":"Proceedings of the 2019 International Conference on Data Mining and Machine Learning","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130499614","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
Cloud computing resource scheduling based on improved differential evolution ant colony algorithm 基于改进差分进化蚁群算法的云计算资源调度
X. Xie, Ke Xu, Xiangwei Wang
Due to the uneven distribution of cloud computing resources and the long processing time of resource scheduling, a cloud computing resource scheduling strategy based on improved differential evolution ant colony algorithm is proposed. By changing the size of the mutation operator F in the differential evolution algorithm, the differential evolution algorithm is controlled not to fall into the local search state and the convergence premature phenomenon. Then the improved differential evolution algorithm is combined with the ant colony algorithm to preserve the ant colony. The algorithm local search optimal characteristics, and has the characteristics of improved global evolution of differential evolution algorithm. The combination of the two can well optimize the problem of unbalanced load and long processing time in the cloud computing resource scheduling process.
针对云计算资源分布不均匀、资源调度处理时间长等问题,提出了一种基于改进差分进化蚁群算法的云计算资源调度策略。通过改变微分进化算法中变异算子F的大小,控制微分进化算法不陷入局部搜索状态和收敛过早现象。然后将改进的差分进化算法与蚁群算法相结合,实现蚁群的保护。该算法具有局部搜索最优的特点,又具有改进差分进化算法全局进化的特点。两者的结合可以很好地优化云计算资源调度过程中负载不均衡、处理时间长等问题。
{"title":"Cloud computing resource scheduling based on improved differential evolution ant colony algorithm","authors":"X. Xie, Ke Xu, Xiangwei Wang","doi":"10.1145/3335656.3335706","DOIUrl":"https://doi.org/10.1145/3335656.3335706","url":null,"abstract":"Due to the uneven distribution of cloud computing resources and the long processing time of resource scheduling, a cloud computing resource scheduling strategy based on improved differential evolution ant colony algorithm is proposed. By changing the size of the mutation operator F in the differential evolution algorithm, the differential evolution algorithm is controlled not to fall into the local search state and the convergence premature phenomenon. Then the improved differential evolution algorithm is combined with the ant colony algorithm to preserve the ant colony. The algorithm local search optimal characteristics, and has the characteristics of improved global evolution of differential evolution algorithm. The combination of the two can well optimize the problem of unbalanced load and long processing time in the cloud computing resource scheduling process.","PeriodicalId":396772,"journal":{"name":"Proceedings of the 2019 International Conference on Data Mining and Machine Learning","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128624784","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: 8
期刊
Proceedings of the 2019 International Conference on Data Mining and Machine Learning
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