检索结果-内蒙古大学图书馆

14th International Conference on Bioscience, Biochemistry and Bioinformatics, ICBBB 2024

作者： Ito, Satoshi Ono, Kenji Miyano, Satoru Department of Integrated Analysis M&D Data Science Center Tokyo Medical and Dental University Tokyo Japan Section of Applied Data Science Research Institute for Information Technology Kyushu University Fukuoka Japan

ISBN: (纸本)9798400716768

The remarkable improvement in the performance of next-generation sequencers has led to the analysis of large numbers of samples in recent years for whole-genome analysis. The computing capabilities required for the same have also increased dramatically;in particular, supercomputers and cloud services have become essential. However, few analyses have used TOP500 large-scale parallel computers because of the difference in the computational scientific properties of existing software for supercomputers and software for bioinformatics and the associated supercomputer resource management methods. In this study, we investigated the difference between bioinformatics pipelines and legacy supercomputer applications carefully and found that job management systems of TOP500-class supercomputers and distributed file systems have issues for bioinformatics pipelines. Based on the results, we developed some easy and efficient methods to overcome them, then we ported and optimized Genomon, a whole-genome analysis pipeline to Fugaku. We performed large-scale WGS analysis on Fugaku, and successfully analyzed over 1 thousand samples with 1,460 thousand node-hours, which is currently the largest analysis of the world’s. Availability: The ported and optimized Genomon is available at the following URL. https://***/genomon_wg/genomonpipeline/src/GPF_develop/ © 2024 Copyright held by the owner/author(s).

关键词： Supercomputers

来源：评论

学校读者我要写书评

暂无评论

Using Videoconferencing Systems and Interactive Tools: Empirical French Investigation 13th

Using Videoconferencing Systems and Interactive Tools: Empir...

引用

13th International Conference on Methodologies and Intelligent Systems for Technology Enhanced Learning, mis4TEL 2023

作者： Impedovo, Maria Ett, Benjamin Khalid, Md Saiffudin ADEF Aix Marseille University Marseille France Stat & Data Section Department of Applied Mathematics and Computer Science Kongens Lyngby Denmark

ISBN: (纸本)9783031421334

This paper reports the existing methods, didactics, and problems experienced during video conferencing systems (VCS)-mediated live teaching sessions at a French higher educational institution. data collected through surveys, interviews, observations, and other methods are analyzed by applying PACT (people, activities, context, and technology) framework. The study is conducted as part of defining the needs and criteria for designing portable video-conferencing toolkits containing a set of hardware and software, guidelines as good practices, and training. The paper contributes with empirical evidence from French higher education context and two main take-aways reconfirming findings in existing literature. First, individual teachers’ and students’ preferences and expectations play central role in the learning and integration of VCS. Second, the students’ perceived central problems are associated with either (1) technological and organizational (i.e. systems blame) or (2) communication and pedagogy - motivation, concentration, and academic engagement (individual blame). For desired-quality interactive live online teaching, training of students and teachers regarding the factors affecting the experience should facilitate reflection on action in VCS use, compared to the emphasis on VCS functionalities and teachers/student competence and behavior. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2023.

关键词： Students

来源：评论

学校读者我要写书评

暂无评论

Acceleration of BAM I/O on distributed file systems

Acceleration of BAM I/O on distributed file systems

引用

2023 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2023

作者： Ito, Satoshi Miyano, Satoru Ono, Kenji Tokyo Medical and Dental University Dept. of Integrated Analysis M&d Data Science Center Tokyo Japan Kyushu University Section of Applied Data Science Res. Inst. for Information Technology Fukuoka Japan

ISBN: (纸本)9798350337488

Rapid advances in high-throughput sequencers have made it possible to obtain large amounts of whole genome data quickly and inexpensively. As the amount of data increases, the increase in computation time has become a serious problem. One of the main causes of this problem is file I/O performance. Most pipelines do not implement file I/O suitable for distributed file systems, which are common storage systems in parallel computers used for large-scale analysis. In this study, we developed an I/O system adapted to distributed file systems. In the proposed system, storage access frequency was suppressed by I/O buffers, and thread parallelization by OpenMP was employed. We tested the developed system and a high parallel speedup was achieved. Availability: The developed system is freely available from https://***/SatoshiITO/GAPS © 2023 IEEE.

关键词： Distributed File System High performance computing Whole genome sequencing analysis

来源：评论

学校读者我要写书评

暂无评论

Artificial neural network-based direct power control to enhance the performance of a PMSG-wind energy conversion system under real wind speed and parameter uncertainties: An experimental validation

引用

Energy Reports 2024年 11卷 4356-4378页

作者： Majout, Btissam Bossoufi, Badre Karim, Mohammed Skruch, Pawel Mobayen, Saleh El Mourabit, Youness El Zair Laggoun, Zakaria Laboratory of Engineering Modelling and Systems Analysis SMBA University Fez Morocco Department of Automatic Control and Robotics AGH University of Krakow Poland Graduate School of Intelligent Data Science National Yunlin University of Science and Technology 123 University Road Section 3 Yunlin Douliou640301 Taiwan National School of Applied Sciences Abdelmalek Essaadi University Tetouan Morocco Laboratory of Electrotechnique Constantine Mentouri Brothers Constantine 1 University Constantine Algeria

With the increasing emphasis on embedding advanced technology into system controls, the Direct Power Control (DPC) approach has garnered considerable attention due to its simple and highly adaptable algorithm. This approach has been increasingly recognized in numerous applications. However, the variable frequency, harmonic distortion of the currents, and power ripples caused by Hysteresis controllers and switching tables decrease its effectiveness and robustness, affecting the system's performance. For this reason, this paper proposed a new DPC based on Artificial Neural Network (ANN) approaches. In this approach, the hysteresis comparator and the switching table are substituted with ANN controllers and then applied on both sides: machine-side converter (MSC) and grid-side converter (GSC) of a Permanent Magnet Synchronous Generator based Wind Energy Conversion System (PMSG-WECS). Moreover, to make the system more efficient in varying wind conditions, this study expands the utilization of the artificial neural networks (ANN) to encompass the maximum power point tracking (MPPT) control strategy. To demonstrate the effectiveness of the proposed approach on the system behaviors, a simulation test was carried out in the Matlab/Simulink environment, using a real wind profile of a Moroccan city (Essaouira). In comparison to the classical DPC control, the simulation results showed the superior performance of the proposed ANN-DPC control in terms of reference tracking, response time, overshoot, precision, and its capacity to reduce the rate of power ripples and total harmonic distortion (THD) in the injected currents. Furthermore, a robustness test was also included in this work to check the robustness of the proposed control against parameters variation. In conclusion, the feasibility and effectiveness of the ANN-DPC control approach were confirmed through experimental validation using the dSPACE DS1104 board. © 2024 The Authors

关键词： MATLAB

来源：评论

学校读者我要写书评

暂无评论

Optimizing Multi-Agent Coverage Path Planning UAV Search and Rescue Missions with Prioritizing Deep Reinforcement Learning

Optimizing Multi-Agent Coverage Path Planning UAV Search and...

引用

2024 IEEE International Conference on Robotics and Biomimetics, ROBIO 2024

作者： Bialas, Julian Doeller, Mario Walch, Simone Van Veelen, Michiel J. Mejia-Aguilar, Abraham FH Kufstein - University of Applied Sciences Faculty of Data Science Kufstein6330 Austria University of Passau Passau94032 Germany FH Kufstein - University of Applied Sciences Kufstein6330 Austria Institute of Mountain Emergency Medicine Eurac Research Bolzano Italy University of Innsbruck Department of Sport Science Medical Section Innsbruck Austria Eurac Research Center for Sensing Solutions Bolzano Italy

ISBN: (纸本)9781665481090

In this paper, we present a novel multi-agent real-time coverage path planning algorithm designed for Unmanned Aerial Vehicles (UAVs) engaged in Search and Rescue (SAR) missions across complex 3D terrains, particularly alpine environments. The proposed approach leverages Deep Reinforcement Learning (DRL) to dynamically adapt to evolving scenarios. The algorithm significantly reduces search time by prioritizing areas near hiking trails, where the likelihood of locating individuals in distress is higher. The DRL environment for training the model incorporates real-world data, including GPS positions of surrounding hiking paths and high-precision 3D information data from open source point clouds. This integration of diverse data sources enhances the reliability and effectiveness of the system in operational scenarios, ensuring robust performance in real-time SAR missions. SAR scenarios were simulated and the results were benchmarked against actual rescue mission data. © 2024 IEEE.

关键词： Deep reinforcement learning

来源：评论

学校读者我要写书评

暂无评论

Recurrent evolution of seaweed body plan complexity among photosynthetic eukaryotes

引用

Molecular Plant 2024年第7期17卷 999-1001页

作者： Elisa S.Goldbecker Iker Irisarri Jan de Vries Department of Applied Bioinformatics Institute for Microbiology and GeneticsUniversity of GottingenGoldschmidtstr.137077 GottingenGermany Section Phylogenomics Center for Molecular Biodiversity ResearchLeibniz Institute for the Analysis of Biodiversity Change(LIB)Museum of Nature HamburgMartin-Luther-King-Platz 320146 HamburgGermany Department of Applied Bioinformatics Campus Institute Data Science(CIDAS)University of GottingenGoldschmidtstr.137077 GottingenGermany Department of Applied Bioinformatics Gottingen Center for Molecular Biosciences(GZMB)University of GottingenGoldschmidtstr.137077 GottingenGermany

The evolutionary origin of multicellularity is an age-old question in biological *** studies have delved into the evolutionary processes that led to the evolution of multicellular life forms from unicellular *** beauty and the challenge about this topic are that evolution has brought forth various forms of multicellular life,multiple times independently,scattered across the evolutionary tree of *** to the challenge,multicellular organisms exist in a diversity of forms and complexities,and the mechanisms by which multicellularity emerged are also likely different between animals,algae,or fungi(Niklas and Newman,2020).Recently,Nelson et al.(2024)presented a large-scale comparative genomics study focused on particularly intricate multicellular organisms:macroalgae(seaweeds),which emerged independently in three distinct eukaryotic lineages-green algae(Chlorophyta),red algae(Rhodophyta),and brown algae(Phaeophyceae).

关键词： algae seaweed evolution

来源：评论

学校读者我要写书评

暂无评论

Numerical Computation of SEIR Model for the Zika Virus Spreading

引用

Computers, Materials & Continua 2023年第4期75卷 2155-2170页

作者： Suthep Suantai Zulqurnain Sabir Muhammad Asif Zahoor Raja Watcharaporn Cholamjiak Data Science Research Center Department of MathematicsFaculty of ScienceChiang Mai UniversityChiang Mai50200Thailand Research Group in Mathematics and Applied Mathematics Faculty of ScienceChiang Mai UniversityChiang Mai50200Thailand Department of Mathematics and Statistics Hazara UniversityMansehraPakistan Department of Computer Science and Mathematics Lebanese American UniversityBeirutLebanon Future Technology Research Center National Yunlin University of Science and Technology123 University RoadSection 3DouliouYunlinspan64002Taiwan School of Science University of PhayaoPhayao 56000Thailand

The purpose of this study is to present the numerical performancesand interpretations of the SEIR nonlinear system based on the Zika virusspreading by using the stochastic neural networks based intelligent computingsolver. The epidemic form of the nonlinear system represents the four dynamicsof the patients, susceptible patients S(y), exposed patients hospitalized inhospital E(y), infected patients I(y), and recovered patients R(y), i.e., SEIRmodel. The computing numerical outcomes and performances of the systemare examined by using the artificial neural networks (ANNs) and the scaledconjugate gradient (SCG) for the training of the networks, i.e., *** correctness of the ANNs-SCG scheme is observed by comparing theproposed and reference solutions for three cases of the SEIR model to solvethe nonlinear system based on the Zika virus spreading dynamics throughthe knacks of ANNs-SCG procedure based on exhaustive *** outcomes of the ANNs-SCG algorithm are found consistently in goodagreement with standard numerical solutions with negligible errors. Moreover,the procedure’s constancy, dependability, and exactness are perceived by usingthe values of state transitions, error histogram measures, correlation, andregression analysis.

关键词： SEIR nonlinear system Zika virus artificial neural networks scaled conjugate gradient statistical measures

来源：评论

学校读者我要写书评

暂无评论

Acceleration of BAM I/O on distributed file systems

Acceleration of BAM I/O on distributed file systems

引用

IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

作者： Satoshi Ito Satoru Miyano Kenji Ono Dept. of Integrated Analysis M&D Data Science Center Tokyo Medical and Dental University Tokyo Japan Section of Applied Data Science Res. Inst. for Information Technology Kyushu University Fukuoka Japan

关键词：

来源：评论

学校读者我要写书评

暂无评论

Optimizing Multi-Agent Coverage Path Planning UAV Search and Rescue Missions with Prioritizing Deep Reinforcement Learning

Optimizing Multi-Agent Coverage Path Planning UAV Search and...

引用

IEEE International Conference on Robotics and Biomimetics

作者： Julian Bialas Mario Doeller Simone Walch Michiel J. van Veelen Abraham Mejia-Aguilar Faculty of Data Science FH Kufstein - University of Applied Sciences Kufstein Austria University of Passau Passau Germany FH Kufstein - University of Applied Sciences Kufstein Austria Institute of Mountain Emergency Medicine Eurac Research Bolzano Italy Department of Sport Science Medical Section University of Innsbruck Innsbruck Austria Center for Sensing Solutions Eurac Research Bolzano Italy

ISBN: (数字)9798331509644

ISBN: (纸本)9798331509651

关键词： Training Solid modeling Three-dimensional displays Heuristic algorithms Biological system modeling Soft sensors Deep reinforcement learning Autonomous aerial vehicles Real-time systems Path planning

来源：评论

学校读者我要写书评

暂无评论

Computational Efficient Approximations of the Concordance Probability in a Big data Setting

arXiv

引用

arXiv 2021年

作者： van Oirbeek, Robin Ponnet, Jolien Verdonck, Tim Data Office Allianz Benelux Belgium Department of Mathematics Section of Statistics and Data Science KU Leuven Department of Mathematics Section of Applied Mathematics UAntwerp

Performance measurement is an essential task once a statistical model is created. The Area Under the receiving operating characteristics Curve (AUC) is the most popular measure for evaluating the quality of a binary classifier. In this case, AUC is equal to the concordance probability, a frequently used measure to evaluate the discriminatory power of the model. Contrary to AUC, the concordance probability can also be extended to the situation with a continuous response variable. Due to the staggering size of data sets nowadays, determining this discriminatory measure requires a tremendous amount of costly computations and is hence immensely time consuming, certainly in case of a continuous response variable. Therefore, we propose two estimation methods that calculate the concordance probability in a fast and accurate way and that can be applied to both the discrete and continuous setting. Extensive simulation studies show the excellent performance and fast computing times of both estimators. Finally, experiments on two real-life data sets confirm the conclusions of the artificial simulations. Copyright © 2021, The Authors. All rights reserved.

关键词： Probability

来源：评论

学校读者我要写书评

暂无评论

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：

请选择收藏分类：

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

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：