检索结果-内蒙古大学图书馆

您好，读者！请登录

内蒙古大学图书馆

首页
概况
党建
资源
服务
科研支持
- 论文收录引用证明
- 科技查新
知识产权
档案馆
帮助

咨询与建议

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

您的常用邮箱：*

您的手机号码：*

问题描述：

当前已输入0个字，您还可以输入200个字

全部搜索
期刊论文
图书
学位论文
标准
纸本馆藏
外文资源发现
数据库导航
超星发现

高级检索

时间限定

出版年份：

文献类型

图书期刊文献学位论文多媒体

馆藏选择

电子馆藏纸本馆藏

核心期刊

全部期刊 SCI 收录期刊 SSCI 收录期刊 EI 收录期刊 CSCD 收录期刊 CSSCI 收录期刊

语言

中文英文

文献类型

期刊文献图书学位论文标准纸本馆藏

帮助

文字说明：

T=题名（书名、题名），A=作者（责任者），K=主题词，P=出版物名称，PU=出版社名称，O=机构（作者单位、学位授予单位、专利申请人），L=中图分类号，C=学科分类号，U=全部字段，Y=年（出版发行年、学位年度、标准发布年）

检索规则说明：

AND代表“并且”；OR代表“或者”；NOT代表“不包含”；(注意必须大写,运算符两边需空一格)

检索范例：

范例一：(K=图书馆学 OR K=情报学) AND A=范并思 AND Y=1982-2016
范例二：P=计算机应用与软件 AND (U=C++ OR U=Basic) NOT K=Visual AND Y=2011-2016

分类表

所选分类

>> <<

限定检索结果

文献类型

3,226 篇 会议
74 篇 期刊文献
54 册 图书

馆藏范围

3,354 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

2,176 篇 工学
- 1,933 篇 计算机科学与技术...
- 702 篇 软件工程
- 418 篇 电气工程
- 333 篇 信息与通信工程
- 181 篇 控制科学与工程
- 79 篇 仪器科学与技术
- 73 篇 生物医学工程（可授...
- 64 篇 生物工程
- 48 篇 机械工程
- 46 篇 航空宇航科学与技...
- 35 篇 电子科学与技术（可...
- 33 篇 化学工程与技术
- 30 篇 光学工程
- 30 篇 网络空间安全
- 28 篇 动力工程及工程热...
- 27 篇 交通运输工程
423 篇 管理学
- 285 篇 管理科学与工程(可...
- 139 篇 图书情报与档案管...
- 74 篇 工商管理
399 篇 理学
- 199 篇 数学
- 116 篇 物理学
- 87 篇 生物学
- 68 篇 统计学（可授理学、...
- 50 篇 系统科学
- 45 篇 化学
- 42 篇 地球物理学
77 篇 医学
- 63 篇 基础医学(可授医学...
- 57 篇 临床医学
- 36 篇 药学(可授医学、理...
56 篇 法学
- 51 篇 社会学
28 篇 教育学
26 篇 经济学
12 篇 农学
4 篇 文学
3 篇 艺术学
1 篇 军事学

主题

1,150 篇 data mining
336 篇 big data
212 篇 cloud computing
150 篇 data models
123 篇 feature extracti...
118 篇 algorithm design...
95 篇 databases
80 篇 computational mo...
74 篇 clustering algor...
72 篇 training
71 篇 semantics
71 篇 machine learning
65 篇 conferences
63 篇 clustering
63 篇 support vector m...
63 篇 servers
61 篇 classification a...
56 篇 classification
56 篇 sentiment analys...
52 篇 predictive model...

机构

41 篇 infn sezione di ...
41 篇 infn sezione di ...
41 篇 universidade de ...
41 篇 universidad de m...
41 篇 universidade de ...
41 篇 torino
41 篇 palacky universi...
41 篇 palermo
41 篇 infn sezione di ...
41 篇 institute for as...
41 篇 infn sezione di ...
41 篇 rwth aachen univ...
41 篇 institut für pro...
41 篇 centro federal d...
41 篇 university of ad...
41 篇 charles universi...
41 篇 universität hamb...
40 篇 infn sezione di ...
40 篇 sorbonne univers...
40 篇 cnrs in2p3 ijcla...

作者

42 篇 buscemi m.
42 篇 aloisio r.
42 篇 catalani f.
42 篇 de souza v.
41 篇 bismark k.
41 篇 fazzini n.
41 篇 avila g.
41 篇 emam m.
41 篇 de mitri i.
41 篇 covault c.e.
41 篇 deligny o.
41 篇 almeida cheminan...
41 篇 aglietta m.
41 篇 condorelli a.
41 篇 anastasi g.a.
41 篇 cataldi g.
41 篇 cobos cerutti a....
41 篇 brack j.
41 篇 conte m.
41 篇 di matteo a.

语言

3,327 篇 英文
18 篇 中文
5 篇 其他
2 篇 葡萄牙文
2 篇 俄文

检索条件"任意字段=2016 International Conference on Data Mining and Advanced Computing, SAPIENCE 2016"

共 3354 条记录，以下是141-150 订阅

全选清除本页清除全部题录导出标记到"检索档案"

详细简洁

排序：

international Masterclasses as part of the Pierre Auger Observatory program of Outreach and Education 38

International Masterclasses as part of the Pierre Auger Obse...

引用

38th international Cosmic Ray conference, ICRC 2023

作者： Sarmento, R. Carvalho, H. Abdul Halim, A. Abreu, P. Aglietta, M. Allekotte, I. Almeida Cheminant, K. Almela, A. Aloisio, R. Alvarez-Muñiz, J. Ammerman Yebra, J. Anastasi, G.A. Anchordoqui, L. Andrada, B. Andringa, S. Aramo, C. Araújo Ferreira, P.R. Arnone, E. Arteaga Velázquez, J.C. Asorey, H. Assis, P. Avila, G. Avocone, E. Badescu, A.M. Bakalova, A. Balaceanu, A. Barbato, F. Bartz Mocellin, A. Bellido, J.A. Berat, C. Bertaina, M.E. Bhatta, G. Bianciotto, M. Biermann, P.L. Binet, V. Bismark, K. Bister, T. Biteau, J. Blazek, J. Bleve, C. Blümer, J. Boháčová, M. Boncioli, D. Bonifazi, C. Bonneau Arbeletche, L. Borodai, N. Brack, J. Brichetto Orchera, P.G. Briechle, F.L. Bueno, A. Buitink, S. Buscemi, M. Büsken, M. Bwembya, A. Caballero-Mora, K.S. Cabana-Freire, S. Caccianiga, L. Caracas, I. Caruso, R. Castellina, A. Catalani, F. Cataldi, G. Cazon, L. Cerda, M. Cermenati, A. Chinellato, J.A. Chudoba, J. Chytka, L. Clay, R.W. Cobos Cerutti, A.C. Colalillo, R. Coleman, A. Coluccia, M.R. Conceição, R. Condorelli, A. Consolati, G. Conte, M. Convenga, F. Correia dos Santos, D. Costa, P.J. Covault, C.E. Cristinziani, M. Cruz Sanchez, C.S. Dasso, S. Daumiller, K. Dawson, B.R. de Almeida, R.M. de Jesús, J. de Jong, S.J. de Mello Neto, J.R.T. De Mitri, I. de Oliveira, J. de Oliveira Franco, D. de Palma, F. de Souza, V. De Vito, E. Del Popolo, A. Deligny, O. Denner, N. Deval, L. di Matteo, A. Dobre, M. Dobrigkeit, C. D’Olivo, J.C. Domingues Mendes, L.M. dos Anjos, R.C. Ebr, J. Ellwanger, F. Emam, M. Engel, R. Epicoco, I. Erdmann, M. Etchegoyen, A. Evoli, C. Falcke, H. Farmer, J. Farrar, G. Fauth, A.C. Fazzini, N. Feldbusch, F. Fenu, F. Fernandes, A. Fick, B. Figueira, J.M. Filipčič, A. Fitoussi, T. Flaggs, B. Fodran, T. Fujii, T. Fuster, A. Galea, C. Galelli, C. García, B. Gaudu, C. Gemmeke, H. Gesualdi, F. Gherghel-Lascu, A. Ghia, P.L. Giaccari, U. Giammarchi, M. Glombitza, J. Gobbi, F. Gollan, F. Golup, G. Gómez Berisso, M. Gómez Vitale, P.F. LIP - Laboratório de Instrumentação e Física Experimental de Partículas Braga Portugal Observatorio Pierre Auger Av. San Martín Norte 304 Malargüe5613 Argentina Centro Atómico Bariloche Instituto Balseiro CNEA UNCuyo CONICET San Carlos de Bariloche Argentina Departamento de Física Departamento de Ciencias de la Atmósfera y los Océanos FCEyN Universidad de Buenos Aires CONICET Buenos Aires Argentina IFLP Universidad Nacional de La Plata CONICET La Plata Argentina CONICET UBA Buenos Aires Argentina CONICET U.N.R. Facultad de Ciencias Bioquímicas y Farmacéuticas U.N.R. Rosario Argentina Instituto de Tecnologías en Detección y Astropartículas CNEA CONICET UNSAM Universidad Tecnológica Nacional Facultad Regional Mendoza CONICET CNEA Mendoza Argentina Instituto de Tecnologías en Detección y Astropartículas CNEA CONICET UNSAM Buenos Aires Argentina International Center of Advanced Studies Instituto de Ciencias Físicas ECyT UNSAM CONICET Campus Miguelete – San Martín Buenos Aires Argentina Laboratorio Atmósfera Departamento de Investigaciones en Láseres y sus Aplicaciones UNIDEF CITEDEFCONICET Argentina Observatorio Pierre Auger and Comisión Nacional de Energía Atómica Malargüe Argentina Universidad Tecnológica Nacional Facultad Regional Buenos Aires Buenos Aires Argentina University of Adelaide AdelaideSA Australia Brussels Belgium Vrije Universiteit Brussels Brussels Belgium Centro Federal de Educação Tecnológica Celso Suckow da Fonseca Petropolis Brazil Brazil Universidade de São Paulo Escola de Engenharia de Lorena SP Lorena Brazil Universidade de São Paulo Instituto de Física de São Carlos SP São Carlos Brazil Universidade de São Paulo Instituto de Física SP São Paulo Brazil Universidade Estadual de Campinas IFGW SP Campinas Brazil Universidade Estadual de Feira de Santana Feira de Santana Brazil Universidade Federal de Campina Grande Centro de Ciencias e Tecnologia Campina Grande Brazil Universidade Federal do ABC SP S

The Pierre Auger Observatory is committed to bringing education and knowledge of cosmic rays to the public, with a strong focus on schools and students. Over the last few years, initiatives have been developed, such as the Science Fair, virtual visits, and participation in international activities on the subject of cosmic rays, including collaborations with external groups. Modern digital tools bringing novel ways of interacting with the public have been explored at these initiatives and also locally at a renewed Visitor Center in Malargüe. The development of tools for the public release of the Auger data, including standardized data formats, analysis notebooks, and a 3D interactive event display, led to the creation of a new activity directed to high-school students called Masterclasses. The participants are challenged to perform the reconstruction and selection of events using a graphical interface with 3D effects, then combined into a smoothed, exposure-corrected sky map of arrival directions. A final discussion takes place in which the students engage with peers and scientists, looking for answers about the origin of ultra-high-energy cosmic rays. The concept had a successful debut in 2022 and was included in the 2023 edition of the international Masterclasses on Particle Physics, reaching students worldwide. © Copyright owned by the author(s) under the terms of the Creative Commons.

关键词： Augers

来源：评论

学校读者我要写书评

暂无评论

Auger@TA: An Auger-like surface detector micro-array embedded within the Telescope Array Project 38

Auger@TA: An Auger-like surface detector micro-array embedde...

引用

38th international Cosmic Ray conference, ICRC 2023

作者： Mayotte, S. Caraça-Valente, J. Covault, C. Fujii, T. Im, S. James, R. Johnsen, J. Kampert, K.H. Kern, H. Matthews, J.N. Mayotte, E. Bartz Mocellin, A. Quinn, S. Que, H. Rautenberg, J. Roth, M. Sagawa, H. Sako, T. Sarazin, F. Sato, R. Schmidt, D. Thomas, S.B. Wörner, G. Abdul Halim, A. Abreu, P. Aglietta, M. Allekotte, I. Almeida Cheminant, K. Almela, A. Aloisio, R. Alvarez-Muñiz, J. Ammerman Yebra, J. Anastasi, G.A. Anchordoqui, L. Andrada, B. Andringa, S. Aramo, C. Araújo Ferreira, P.R. Arnone, E. Arteaga Velázquez, J.C. Asorey, H. Assis, P. Avila, G. Avocone, E. Badescu, A.M. Bakalova, A. Balaceanu, A. Barbato, F. Bartz Mocellin, A. Bellido, J.A. Berat, C. Bertaina, M.E. Bhatta, G. Bianciotto, M. Biermann, P.L. Binet, V. Bismark, K. Bister, T. Biteau, J. Blazek, J. Bleve, C. Blümer, J. Bohácová, M. Boncioli, D. Bonifazi, C. Bonneau Arbeletche, L. Borodai, N. Brack, J. Brichetto Orchera, P.G. Briechle, F.L. Bueno, A. Buitink, S. Buscemi, M. Büsken, M. Bwembya, A. Caballero-Mora, K.S. Cabana-Freire, S. Caccianiga, L. Caracas, I. Caruso, R. Castellina, A. Catalani, F. Cataldi, G. Cazon, L. Cerda, M. Cermenati, A. Chinellato, J.A. Chudoba, J. Chytka, L. Clay, R.W. Cobos Cerutti, A.C. Colalillo, R. Coleman, A. Coluccia, M.R. Conceição, R. Condorelli, A. Consolati, G. Conte, M. Convenga, F. Correia dos Santos, D. Costa, P.J. Covault, C.E. Cristinziani, M. Cruz Sanchez, C.S. Dasso, S. Daumiller, K. Dawson, B.R. de Almeida, R.M. de Jesús, J. de Jong, S.J. de Mello Neto, J.R.T. De Mitri, I. de Oliveira, J. de Oliveira Franco, D. de Palma, F. de Souza, V. De Vito, E. Del Popolo, A. Deligny, O. Denner, N. Deval, L. di Matteo, A. Dobre, M. Dobrigkeit, C. D'Olivo, J.C. Domingues Mendes, L.M. dos Anjos, R.C. Ebr, J. Ellwanger, F. Emam, M. Engel, R. Epicoco, I. Erdmann, M. Etchegoyen, A. Evoli, C. Falcke, H. Farmer, J. Farrar, G. Fauth, A.C. Fazzini, N. Feldbusch, F. Fenu, F. Fernandes, A. Fick, B. Figueira, J.M. Filipcic, A. Fitoussi, T. San Carlos de Bariloche Argentina Departamento de Física Departamento de Ciencias de la Atmósfera y los Océanos FCEyN Universidad de Buenos Aires CONICET Buenos Aires Argentina IFLP Universidad Nacional de La Plata and CONICET La Plata Argentina Buenos Aires Argentina CONICET U.N.R. Facultad de Ciencias Bioquímicas y Farmacéuticas U.N.R. Rosario Argentina Mendoza Argentina Buenos Aires Argentina International Center of Advanced Studies Instituto de Ciencias Físicas ECyT-UNSAM CONICET Campus Miguelete - San Martín Buenos Aires Argentina Argentina Observatorio Pierre Auger Malargüe Argentina Observatorio Pierre Auger Comisión Nacional de Energía Atómica Malargüe Argentina Universidad Tecnológica Nacional - Facultad Regional Buenos Aires Buenos Aires Argentina University of Adelaide AdelaideSA Australia Brussels Belgium Vrije Universiteit Brussels Brussels Belgium Centro Federal de Educação Tecnológica Celso Suckow da Fonseca Petropolis Brazil Brazil Universidade de São Paulo Escola de Engenharia de Lorena SP Lorena Brazil Universidade de São Paulo Instituto de Física de São Carlos SP São Carlos Brazil Universidade de São Paulo Instituto de Física SP São Paulo Brazil Universidade Estadual de Campinas IFGW SP Campinas Brazil Universidade Estadual de Feira de Santana Feira de Santana Brazil Universidade Federal de Campina Grande Centro de Ciencias e Tecnologia Campina Grande Brazil Universidade Federal do ABC SP Santo André Brazil Universidade Federal do Paraná Setor Palotina Palotina Brazil Universidade Federal do Rio de Janeiro Instituto de Física RJ Rio de Janeiro Brazil Observatório do Valongo RJ Rio de Janeiro Brazil Universidade Federal Fluminense EEIMVR RJ Volta Redonda Brazil Universidad de Medellín Medellín Colombia Universidad Industrial de Santander Bucaramanga Colombia Charles University Faculty of Mathematics and Physics Institute of Particle and Nuclear Physics Prague Czech Republic Institute of Physics

The Pierre Auger Observatory (Auger) and the Telescope Array Project (TA) are the two largest ultra-highenergy cosmic ray (UHECR) observatories in the world. One obstacle in pursuing full-sky UHECR physics is the apparent discrepancy in flux measured by the two experiments. This could be due to astrophysical differences as Auger and TA observe the Southern and Northern skies, respectively. However, the scintillation detectors used by TA have very different sensitivity to the various components of extensive air showers than the water-Cherenkov detectors (WCD) used by Auger. The discrepancy could also be due to systematic effects arising from the differing detector designs and reconstruction methods. The primary goal of the Auger@TA working group is to cross-calibrate the approaches of the two observatories using in-situ methods. This is achieved by placing a self-triggering micro-array, which consists of eight Auger surface detector stations, with both WCDs and AugerPrime scintillators, within the TA array. Seven of the WCDs use a 1-PMT prototype configuration and form a hexagon with the Auger spacing of 1.5 km. The eighth station uses a standard 3-PMT Auger WCD, placed with a TA station at the center of the hexagon to form a triplet for high-statistics, low-uncertainty, cross-calibration of instrumentation. Deployment of the micro-array took place between September 2022 and August 2023, with data-taking foreseen by the Fall of 2023. Details on the instrumentation and deployment of the micro-array, as well as its expected performance, trigger efficiencies, and event rate will be presented. First data from individual stations will also be shown. © Copyright owned by the author(s) under the terms of the Creative Commons.

关键词： Telescopes

来源：评论

学校读者我要写书评

暂无评论

Constraining models for the origin of ultra-high-energy cosmic rays with spectrum, composition, and arrival direction data measured at the Pierre Auger Observatory 38

Constraining models for the origin of ultra-high-energy cosm...

引用

38th international Cosmic Ray conference, ICRC 2023

作者： Bister, Teresa Abdul Halim, A. Abreu, P. Aglietta, M. Allekotte, I. Almeida Cheminant, K. Almela, A. Aloisio, R. Alvarez-Muñiz, J. Ammerman Yebra, J. Anastasi, G.A. Anchordoqui, L. Andrada, B. Andringa, S. Aramo, C. Araújo Ferreira, P.R. Arnone, E. Arteaga Velázquez, J.C. Asorey, H. Assis, P. Avila, G. Avocone, E. Badescu, A.M. Bakalova, A. Balaceanu, A. Barbato, F. Bartz Mocellin, A. Bellido, J.A. Berat, C. Bertaina, M.E. Bhatta, G. Bianciotto, M. Biermann, P.L. Binet, V. Bismark, K. Bister, T. Biteau, J. Blazek, J. Bleve, C. Blümer, J. Boháčová, M. Boncioli, D. Bonifazi, C. Bonneau Arbeletche, L. Borodai, N. Brack, J. Brichetto Orchera, P.G. Briechle, F.L. Bueno, A. Buitink, S. Buscemi, M. Büsken, M. Bwembya, A. Caballero-Mora, K.S. Cabana-Freire, S. Caccianiga, L. Caracas, I. Caruso, R. Castellina, A. Catalani, F. Cataldi, G. Cazon, L. Cerda, M. Cermenati, A. Chinellato, J.A. Chudoba, J. Chytka, L. Clay, R.W. Cobos Cerutti, A.C. Colalillo, R. Coleman, A. Coluccia, M.R. Conceição, R. Condorelli, A. Consolati, G. Conte, M. Convenga, F. Correia dos Santos, D. Costa, P.J. Covault, C.E. Cristinziani, M. Cruz Sanchez, C.S. Dasso, S. Daumiller, K. Dawson, B.R. de Almeida, R.M. de Jesús, J. de Jong, S.J. de Mello Neto, J.R.T. De Mitri, I. de Oliveira, J. de Oliveira Franco, D. de Palma, F. de Souza, V. De Vito, E. Del Popolo, A. Deligny, O. Denner, N. Deval, L. di Matteo, A. Dobre, M. Dobrigkeit, C. D’Olivo, J.C. Domingues Mendes, L.M. dos Anjos, R.C. Ebr, J. Ellwanger, F. Emam, M. Engel, R. Epicoco, I. Erdmann, M. Etchegoyen, A. Evoli, C. Falcke, H. Farmer, J. Farrar, G. Fauth, A.C. Fazzini, N. Feldbusch, F. Fenu, F. Fernandes, A. Fick, B. Figueira, J.M. Filipčič, A. Fitoussi, T. Flaggs, B. Fodran, T. Fujii, T. Fuster, A. Galea, C. Galelli, C. García, B. Gaudu, C. Gemmeke, H. Gesualdi, F. Gherghel-Lascu, A. Ghia, P.L. Giaccari, U. Giammarchi, M. Glombitza, J. Gobbi, F. Gollan, F. Golup, G. Gómez Berisso, M. Gómez Vitale, P.F. Gongora, J.P. Institute for Mathematics Astrophysics and Particle Physics Radboud University Nijmegen Nijmegen Netherlands Observatorio Pierre Auger Av. San Martín Norte 304 Malargüe5613 Argentina San Carlos de Bariloche Argentina Departamento de Física Departamento de Ciencias de la Atmósfera y los Océanos FCEyN Universidad de Buenos Aires and CONICET Buenos Aires Argentina IFLP Universidad Nacional de La Plata and CONICET La Plata Argentina Instituto de Astronomía y Física del Espacio [IAFE CONICET-UBA Buenos Aires Argentina CONICET/U.N.R. and Facultad de Ciencias Bioquímicas y Farmacéuticas U.N.R. Rosario Argentina Mendoza Argentina Instituto de Tecnologías en Detección y Astropartículas CNEA CONICET UNSAM Buenos Aires Argentina International Center of Advanced Studies Instituto de Ciencias Físicas ECyT-UNSAM and CONICET Campus Miguelete – San Martín Buenos Aires Argentina Laboratorio Atmósfera Departamento de Investigaciones en Láseres y sus Aplicaciones – UNIDEF CITEDEFCONICET Argentina Observatorio Pierre Auger and Comisión Nacional de Energía Atómica Malargüe Argentina Universidad Tecnológica Nacional Facultad Regional Buenos Aires Buenos Aires Argentina University of Adelaide AdelaideSA Australia Brussels Belgium Vrije Universiteit Brussels Brussels Belgium Centro Federal de Educação Tecnológica Celso Suckow da Fonseca Petropolis Brazil Brazil Universidade de São Paulo Escola de Engenharia de Lorena SP Lorena Brazil Universidade de São Paulo Instituto de Física de São Carlos SP São Carlos Brazil Universidade de São Paulo Instituto de Física SP São Paulo Brazil Universidade Estadual de Campinas IFGW SP Campinas Brazil Universidade Estadual de Feira de Santana Feira de Santana Brazil Universidade Federal de Campina Grande Centro de Ciencias e Tecnologia Campina Grande Brazil Universidade Federal do ABC SP Santo André Brazil Universidade Federal do Paraná Setor Palotina Palotina Brazil Universidade Federal do Rio de Janeiro Instituto de

The distribution of cosmic-ray arrival directions shows a better agreement with models in which a fraction of the flux is associated with catalogs of nearby source candidates, such as starburst galaxies, than with isotropy. To investigate this further, we use a novel approach, fitting simultaneously the energy spectrum, distributions of shower maxima, and arrival directions at the highest energies measured with the Pierre Auger Observatory. The astrophysical model consists of homogeneously distributed background sources as well as an adaptable contribution from nearby source candidates. Propagation effects and a rigidity-dependent magnetic field blurring are taken into account, producing a rising level of anisotropy with the energy. We demonstrate that a model containing a flux fraction of around 20% from the starburst galaxy catalog at 40 EeV, with a hard, nitrogen-dominated injection spectrum, provides a good description of the data. By investigating a scenario with Cen A as a single source in combination with the homogeneous background, we show that this region of the sky provides the dominant part to the observed anisotropy signal. Models based on jetted active galactic nuclei whose cosmic-ray flux scales with the gamma-ray emission are disfavored. The modeled energy evolution of the arrival directions, the spectra of individual sources, as well as the statistical significance of the results, including the influence of experimental systematic effects, will be discussed in this contribution. © Copyright owned by the author(s) under the terms of the Creative Commons.

关键词： Anisotropy

来源：评论

学校读者我要写书评

暂无评论

mining Frequent Patterns for ECG Multi-label data by FP-Growth Algorithm Based on Spark 7

Mining Frequent Patterns for ECG Multi-label Data by FP-Grow...

引用

7th international conference on Information, Communication and Networks, ICICN 2019

作者： Wang, Di Ge, Jing Wu, Lu Song, Xiaofeng Shandong Computer Science Center National Supercomputer Center in Jinan Qilu University of Technology Shandong Academy of Sciences Key Laboratory of Medical Artificial Intelligence Jinan China Shanghai Key Laboratory of Scalable Computing and Systems Shanghai Jiao Tong University Shanghai China State Key Laboratory of High-end Server and Storage Technology Inspur Electronic Information Industry Co. Ltd Jinan China

ISBN: (纸本)9781728104263

Chinese Cardiovascular Disease database (CCDD), which contains 12-Lead electrocardiogram (ECG) data and detailed features with diagnosis, include more than 270 categories of ECG-type data. Each record can correspond to multiple diagnosis results. However, most of the current methods are for single-label data, few people study multi-label ECG data, especially the correlation in ECG type labels. As one of the top ten classic algorithms for data mining, association rule mining algorithm can be used to discover interesting associations or related information between item sets in a large amount of data. The association rule mining algorithm on a single machine is difficult to adapt to big data analysis and processing tasks because of its space-time complexity and I/O cost. This paper makes full use of the powerful data processing capabilities of Spark's cluster system, studies the frequent patterns for ECG big data. © 2019 IEEE.

关键词： Electrocardiograms

来源：评论

学校读者我要写书评

暂无评论

A Real data Analysis in an Internet of Things Environment 4

A Real Data Analysis in an Internet of Things Environment

引用

4th international conference on Internet of Things, Big data and Security (IoTBDS)

作者： Poletti, Joao Victor Castro e Martins, Lucas Mauricio Almeida, Samuel Holanda, Maristela de Sousa Junior, Rafael Timoteo Univ Brasilia Dept Elect Engn Brasilia DF Brazil Univ Brasilia Dept Comp Sci Brasilia DF Brazil

ISBN: (纸本)9789897583698

The Internet of Things (IoT) emerged as a consequence of the advanced development of increasingly interconnected intelligent devices. These devices integrate within our environment to achieve specific goals that can relate to the areas of object tracking, health care, security, transport, and recreation. However, the amount of devices connected to the Internet and their variety is a problem that needs attention. The purpose of this paper is to present analysis based on real data retrieved from devices inside an IoT universe. The paper proposes a strategy for data extraction as well as a method for handling the information by filtering it and applying an analysis in order to identify different types of measuring devices and techniques to validate the measurements retrieved from the objects. Two techniques from the data mining were used, linear regression and clustering, and another one was developed. The results give different alternatives for the distribution of data in hypothetical devices that were inferred.

关键词： Internet of Things Middleware data collector data Management Heterogeneity Challenges Devices Analysis

来源：评论

学校读者我要写书评

暂无评论

Standing on shoulders or feet? The usage of the MSR data papers 16

Standing on shoulders or feet? The usage of the MSR data pap...

引用

16th IEEE/ACM international conference on mining Software Repositories, MSR 2019

作者： Kotti, Zoe Spinellis, Diomidis Department of Management Science and Technology Athens University of Economics and Business Athens Greece

ISBN: (纸本)9781728134123

Introduction: The establishment of the mining Software Repositories (MSR) data Showcase conference track has encouraged researchers to provide more data sets as a basis for further empirical studies. Objectives: Examine the usage of the data papers published in the MSR proceedings in terms of use frequency, users, and use purpose. Methods: data track papers were collected from the MSR data Showcase and through the manual inspection of older MSR proceedings. The use of data papers was established through citation searching followed by reading the studies that have cited them. data papers were then clustered based on their content, whereas their citations were classified according to the knowledge areas of the Guide to the Software Engineering Body of Knowledge. Results: We found that 65% of the data papers have been used in other studies, with a long-tail distribution in the number of citations. MSR data papers are cited less than other MSR papers. A considerable number of the citations stem from the teams that authored the data papers. Publications providing repository data and metadata are the most frequent data papers and the most often cited ones. Mobile application data papers are the least common ones, but the second most frequently cited. Conclusion: data papers have provided the foundation for a significant number of studies, but there is room for improvement in their utilization. This can be done by setting a higher bar for their publication, by encouraging their use, and by providing incentives for the enrichment of existing data collections. © 2019 IEEE.

关键词： Paper

来源：评论

学校读者我要写书评

暂无评论

AugerPrime implementation in the DAQ systems of the Pierre Auger Observatory 38

AugerPrime implementation in the DAQ systems of the Pierre A...

引用

38th international Cosmic Ray conference, ICRC 2023

作者： Sato, R. Abdul Halim, A. Abreu, P. Aglietta, M. Allekotte, I. Almeida Cheminant, K. Almela, A. Aloisio, R. Alvarez-Muñiz, J. Ammerman Yebra, J. Anastasi, G.A. Anchordoqui, L. Andrada, B. Andringa, S. Aramo, C. Araújo Ferreira, P.R. Arnone, E. Arteaga Velázquez, J.C. Asorey, H. Assis, P. Avila, G. Avocone, E. Badescu, A.M. Bakalova, A. Balaceanu, A. Barbato, F. Bartz Mocellin, A. Bellido, J.A. Berat, C. Bertaina, M.E. Bhatta, G. Bianciotto, M. Biermann, P.L. Binet, V. Bismark, K. Bister, T. Biteau, J. Blazek, J. Bleve, C. Blümer, J. Boháčová, M. Boncioli, D. Bonifazi, C. Bonneau Arbeletche, L. Borodai, N. Brack, J. Brichetto Orchera, P.G. Briechle, F.L. Bueno, A. Buitink, S. Buscemi, M. Büsken, M. Bwembya, A. Caballero-Mora, K.S. Cabana-Freire, S. Caccianiga, L. Caracas, I. Caruso, R. Castellina, A. Catalani, F. Cataldi, G. Cazon, L. Cerda, M. Cermenati, A. Chinellato, J.A. Chudoba, J. Chytka, L. Clay, R.W. Cobos Cerutti, A.C. Colalillo, R. Coleman, A. Coluccia, M.R. Conceição, R. Condorelli, A. Consolati, G. Conte, M. Convenga, F. Correia dos Santos, D. Costa, P.J. Covault, C.E. Cristinziani, M. Cruz Sanchez, C.S. Dasso, S. Daumiller, K. Dawson, B.R. de Almeida, R.M. de Jesús, J. de Jong, S.J. de Mello Neto, J.R.T. De Mitri, I. de Oliveira, J. de Oliveira Franco, D. de Palma, F. de Souza, V. De Vito, E. Del Popolo, A. Deligny, O. Denner, N. Deval, L. di Matteo, A. Dobre, M. Dobrigkeit, C. D’Olivo, J.C. Domingues Mendes, L.M. dos Anjos, R.C. Ebr, J. Ellwanger, F. Emam, M. Engel, R. Epicoco, I. Erdmann, M. Etchegoyen, A. Evoli, C. Falcke, H. Farmer, J. Farrar, G. Fauth, A.C. Fazzini, N. Feldbusch, F. Fenu, F. Fernandes, A. Fick, B. Figueira, J.M. Filipčič, A. Fitoussi, T. Flaggs, B. Fodran, T. Fujii, T. Fuster, A. Galea, C. Galelli, C. García, B. Gaudu, C. Gemmeke, H. Gesualdi, F. Gherghel-Lascu, A. Ghia, P.L. Giaccari, U. Giammarchi, M. Glombitza, J. Gobbi, F. Gollan, F. Golup, G. Gómez Berisso, M. Gómez Vitale, P.F. Observatorio Pierre Auger and Comisión Nacional de Energía Atómica Malargüe Argentina Observatorio Pierre Auger Av. San Martín Norte 304 Malargüe5613 Argentina San Carlos de Bariloche Argentina Departamento de Física Departamento de Ciencias de la Atmósfera y los Océanos FCEyN Universidad de Buenos Aires and CONICET Buenos Aires Argentina IFLP Universidad Nacional de La Plata and CONICET La Plata Argentina Buenos Aires Argentina CONICET U.N.R. Facultad de Ciencias Bioquímicas y Farmacéuticas U.N.R. Rosario Argentina Mendoza Argentina Buenos Aires Argentina International Center of Advanced Studies Instituto de Ciencias Físicas ECyT-UNSAM CONICET Campus Miguelete – San Martín Buenos Aires Argentina Argentina Universidad Tecnológica Nacional Facultad Regional Buenos Aires Buenos Aires Argentina University of Adelaide AdelaideSA Australia Brussels Belgium Vrije Universiteit Brussels Brussels Belgium Centro Federal de Educação Tecnológica Celso Suckow da Fonseca Petropolis Brazil Brazil Universidade de São Paulo Escola de Engenharia de Lorena SP Lorena Brazil Universidade de São Paulo Instituto de Física de São Carlos SP São Carlos Brazil Universidade de São Paulo Instituto de Física SP São Paulo Brazil Universidade Estadual de Campinas IFGW SP Campinas Brazil Universidade Estadual de Feira de Santana Feira de Santana Brazil Universidade Federal de Campina Grande Centro de Ciencias e Tecnologia Campina Grande Brazil Universidade Federal do ABC SP Santo André Brazil Universidade Federal do Paraná Setor Palotina Palotina Brazil Universidade Federal do Rio de Janeiro Instituto de Física RJ Rio de Janeiro Brazil Observatório do Valongo RJ Rio de Janeiro Brazil Universidade Federal Fluminense EEIMVR RJ Volta Redonda Brazil Universidad de Medellín Medellín Colombia Universidad Industrial de Santander Bucaramanga Colombia Charles University Faculty of Mathematics and Physics Institute of Particle and Nuclear Physics Prague

The AugerPrime upgrade of the Pierre Auger Observatory converts the existing surface detector, consisting of an array of 1660 water-Cherenkov detectors (WCDs), into a multi-hybrid instrument. This upgrade required improved surface detector electronics and acquisition software to accommodate the new detection channels corresponding to the scintillator surface detectors, radio detector antennas, and the underground muon detectors as well as the additional, small area photomultiplier in the WCDs. In this work, we present an overview of the data acquisition software, both at the level of individual detector stations and the central data acquisition system. We highlight the modifications performed to handle the new multi-hybrid data of AugerPrime and cope with surface detector stations with different hardware configurations operating simultaneously in the array during the transition phase. © Copyright owned by the author(s) under the terms of the Creative Commons.

关键词： Charged particles

来源：评论

学校读者我要写书评

暂无评论

data mining in IoT era:A method based on improved frequent items mining algorithm 5

Data mining in IoT era:A method based on improved frequent i...

引用

5th international conference on Big data and Information Analytics, BigDIA 2019

作者： Wang, Zhao Liang, Wenqian Zhang, Yaohong Wang, Ji Tao, Jinjin Chen, Chao Yan, Hui Men, Tong College of System Engineering National University of Defense Technology Changsha China Northern Institute of Automatic Control Technology National University of Defense Technology Taiyuan China

ISBN: (纸本)9781728139333

This paper focuses on big data in IoT. With the development and popularization of 5G technology, IoT based on 5G technology will be popularized. At the same time, it will increase more use of big data that come from heterogeneous devices. Although it is now a big data era, data from IoT will also explode in future. In these IoT data, the first task that we should do is to mine the related items and to find the association rules. So we proposed an improved frequent items mining algorithm that based on traditional Apriori algorithm. Considering time series analysis, the IoT data is coarse-grained, so it's hard to find frequent items in the data. Based on this, we divide data into different subsets based on different times and set an initial threshold. We propose an improved frequent items and association items mining algorithm-ADAA(advanced Apriori algorithm). © 2019 IEEE.

关键词： Big data

来源：评论

学校读者我要写书评

暂无评论

Research on differences of learning behaviors between students with different achievements in online learning environment

Research on differences of learning behaviors between studen...

引用

international conference on advanced Learning Technologies (ICALT)

作者： Huaibo Wang Jihong Li Tingwen Chang Faculty of Education Beijing Normal University Beijing China Smart Learning Institute Beijing Normal University Beijing China

ISBN: (数字)9781728160900

ISBN: (纸本)9781728160917

In recent years, the high dropout rate and low completion rate brought by MOOCs have attracted the attention of the researchers. To a certain extent, this study is providing a new perspective to reduce the problem of high school dropouts and low completion rates. A course of 44365 registered students in the spring of 2016 in the XuetangX platform was used as the analysis object. Lag Sequential Analysis (LSA) was used to analyze students with different levels of academic achievement to extract behavior sequence, find the regularity of the behavior patterns, and analyze the differences in behavior patterns.

关键词： Courseware data mining Sequential analysis Encoding conferences Springs

来源：评论

学校读者我要写书评

暂无评论

An Investigation on the data mining to Develop Smart Tire 11

An Investigation on the Data Mining to Develop Smart Tire

引用

11th international conference on Agents and Artificial Intelligence (ICAART)

作者： Lee, Jae-Cheon Liu, Hao Seo, Young Gi Kwak, Seong Woo Lee, Ho Seung Jo, Hae Jun Park, Sangsu Keimyung Univ Dept Mech & Automot Engn 1095 Dalgubeol Daero Daegu South Korea Keimyung Univ Dept Elect & Elect Engn 1095 Dalgubeol Daero Daegu South Korea

ISBN: (纸本)9789897583506

A smart tire is required to improve driving safety for an intelligent vehicle especially for automated driving electric vehicles. It is necessary to provide information of tire contact forces (vertical, longitudinal, and lateral directions) to control velocity and steering angle of the autonomous vehicle so as to ensure driving stability. This study presents a smart tire system with the data mining to estimate the vertical load by using the tire deformation data in particular. Firstly, the hardware system construction of the smart tire in which tire deformation on driving by using strain gauge is described. And then the test condition is set up and total 27 sets of experimental data are processed to perform correlation analysis for specifications of measured waves. Next, the estimation algorithm of smart tire vertical load is derived by considering the area of tire-ground contact patch and also by introducing compensate coefficient of transverse direction length of contact area. The experimental results show the proposed estimation algorithm is feasible and precise. The advanced adaptive and precise estimation algorithm with artificial neural network will be developed further.

关键词： data mining Smart Tire Tire Built-in Sensor Strain Gage Tire Deformation Value Vehicle Load

来源：评论

学校读者我要写书评

暂无评论

没有更多数据了...

全选清除本页清除全部题录导出标记到“检索档案”

共336页 << < 11 12 13 14 15 16 17 18 19 20 > >>

检索报告对象比较合并检索0

隐藏清空

合并搜索

回到顶部

执行限定条件

内容：

评分：

请选择保存的检索档案：

请选择收藏分类：

订阅名称：

通借通还

温馨提示：

图书名称：

借书校区：

取书校区：

手机号码：

邮箱地址：

一卡通帐号：

电话和邮箱必须正确填写，我们会与您联系确认。

联系人：

所在院系：

联系邮箱：

联系电话：

内蒙古自治区呼和浩特市赛罕区大学西街235号邮编: 010021

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：