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检索条件"任意字段=Proceedings of the 6th International Conference on Algorithms, Computing and Systems"

共 6565 条记录，以下是4861-4870 订阅

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Mapping data sets to concepts using machine learning and a knowledge based approach 10

Mapping data sets to concepts using machine learning and a k...

引用

10th international conference on Agents and Artificial Intelligence, ICAART 2018

作者： Bunte, Andreas Li, Peng Niggemann, Oliver Institute for Industrial IT Langenbruch 6 Lemgo32657 Germany Fraunhofer IOSB-INA Langenbruch 6 Lemgo32657 Germany

ISBN: (纸本)9789897582752

Machine learning techniques have a huge potential to take some tasks of humans, e.g. anomaly detection or predictive maintenance, and thus support operators of cyber physical systems (CPSs). One challenge is to communicate algorithms results to machines or humans, because they are on a sub-symbolical level and thus hard to interpret. To simplify the communication and thereby the usage of the results, they have to be transferred to a symbolic representation. Today, the transformation is typically static which does not satisfy the needs for fast changing CPSs and prohibit the usage of the full machine learning potential. this work introduces a knowledge based approach of an automatic mapping between the sub-symbolic results of algorithms and their symbolic representation. Clustering is used to detect groups of similar data points which are interpreted as concepts. the information of clusters are extracted and further classified with the help of an ontology which infers the current operational state. Data from wind turbines is used to evaluate the approach. the achieved results are promising, the system can identify its operational state without an explicit mapping. Copyright © 2018 by SCITEPRESS – Science and Technology Publications, Lda. All rights reserved.

关键词： Classification (of information)

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international collaboration in SW engineering research projects 11

International collaboration in SW engineering research proje...

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proceedings of the 16th Western Canadian conference on computing Education

作者： Khmelevsky, Youry Ustimenko, Vasyliy Hains, Gaétan Kluka, Chris Ozan, Erol Syrotovsky, Dmitry Computer Science and Artificial Intelligence Laboratory MIT Cambridge MA 02139 United States Institute of Mathematics Maria Curie-Sklodowska University Lublin 20-031 Poland Lab. d'Algorithmique Complexité et Logique Université Paris-Est 94000 Créteil France CoSc Department Okanagan College 1000 K.L.O. Rd. Kelowna BC V1Y 4X8 Canada Department of Technology Systems East Carolina University Greenville NC 27858-4353 United States Reckitt Benckiser 9 Moskovskij Prospekt Kiev 04073 Ukraine

ISBN: (纸本)9781450307925

Many software engineering research projects are conducted within university computer science and computing departments or colleges. Every computer or computing department has its own experiences, successes or pitfalls in software engineering and software development teaching, which would be useful to share and discuss with the education community. In this paper we discuss the international software engineering research project experiences and results from five years of teaching "Projects in Computer Science" in Computer Information systems Diploma and "Software Engineering" in Bachelor of Computer Information systems Degree programs at Okanagan College. the learning of software development in the Diploma as well as software engineering in the Degree programs were synchronized with the practical software development and software engineering projects with real sponsors from industry and academia in small and medium size groups of students (3-6 members in Diploma and 5-11 members in Degree projects). Additionally to industrial projects we introduced a number of software engineering research projects from academia and industry, located worldwide in the last 5 years. Instructors supervised and supported students in the role of sponsors or mediators. Many student groups were able to develop impressive, high quality final engineering and research project applications and systems. the sponsors provided very positive feedback and references for most of the projects. We offered a greater number of real projects for students to select from, including international research projects from the United States, France, Ukraine and Canada. Several student teams chose research projects (as opposed to industrial projects), which will be briefly discussed in this paper. © 2011 ACM.

关键词： Students

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ICA and ISA using Schweizer-Wolff measure of dependence 08

ICA and ISA using Schweizer-Wolff measure of dependence

引用

25th international conference on Machine Learning, ICML 2008

作者： Kirshner, Sergey Póczos, Barnabás AICML Department of Computing Science University of Alberta Edmonton AB T6G 2E8 Canada

ISBN: (纸本)9781605582054

We propose a new algorithm for independent component and independent subspace analysis problems. this algorithm uses a contrast based on the Schweizer-Wolff measure of pairwise dependence (Schweizer & Wolff, 1981), a non-parametric measure computed on pairwise ranks of the variables. Our algorithm frequently outperforms state of the art ICA methods in the normal setting, is significantly more robust to outliers in the mixed signals, and performs well even in the presence of noise. Our method can also be used to solve independent subspace analysis (ISA) problems by grouping signals recovered by ICA methods. We provide an extensive empirical evaluation using simulated, sound, and image data.

关键词： Learning systems

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the application of chordal graphs to inferring phylogenetic trees of languages 5

The application of chordal graphs to inferring phylogenetic ...

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5th international Joint conference on Natural Language Processing, IJCNLP 2011

作者： Enright, Jessica Kondrak, Grzegorz Department of Computing Science University of Alberta EdmontonABT6G 2E8 Canada

ISBN: (纸本)9789744665645

Phylogenetic methods are used to build evolutionary trees of languages given character data that may include lexical, phonological, and morphological information. Such data rarely admits a perfect phylogeny. We explore the use of the more permissive conservative Dollo phylogeny as an alternative or complementary approach. We propose a heuristic search algorithm based on the notion of chordal graphs. We test this approach by generating phylogenetic trees from three datasets, and comparing them to those produced by other researchers. © 2011 AFNLP

关键词： Phylogenetic

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Computation and insulation analysis of 3-D electric field of high voltage SF6 current transformer

Computation and insulation analysis of 3-D electric field of...

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ICEMS 2005: 8th international conference on Electrical Machines nd systems

作者： Liu, Xiaoming Cao, Yundong Lei, Li Shi, Yuxia School of Electrical Engineering Shenyang University of Technology Shenyang 110023 China

ISBN: (纸本)7506274078

In view of the complex structure of high voltage SF6 current transformer (HV SF6 CT), the generation of 3-D grid using finite element method (FEM) is applied to calculate the whole electric field. In computing, multi dielectric medium, such as the SF6 insulation gas, porcelain casing and air has been into consideration. the equal potential and electric field strength distribution of different profiles are obtained and figured out. And the comparison of the numerical computation results between 3D and 2D model has been performed. Moreover, the insulation performance under different operating conditions has been obtained and analyzed. the theoretical basis for designing and optimizing the HV SF6 CT has been provided.

关键词： Electric transformers

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User Evaluation of Industry 4.0 Concepts for Worker Engagement 1st

User Evaluation of Industry 4.0 Concepts for Worker Engageme...

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1st international conference on Human systems Engineering and Design (IHSED) - Future Trends and Applications

作者： Aromaa, Susanna Liinasuo, Marja Kaasinen, Eija Bojko, Michael Schmalfuss, Franziska Apostolakis, Konstantinos C. Zarpalas, Dimitrios Daras, Petros Ozturk, Cemalettin Boubekeuer, Menouer VTT Tech Res Ctr Finland Ltd POB 1300 Tampere 33101 Finland Tech Univ Chemnitz Dept Factory Planning & Factory Management Erfenschlager Str 73 D-09125 Chemnitz Germany Tech Univ Chemnitz Dept Cognit & Engn Psychol Wilhelm Raabe Str 43 D-09120 Chemnitz Germany Informat Technol Inst Ctr Res & Technol Hellas 6th Km Charilaou Thermi Rd Thessaloniki 57001 Greece United Technol Res Ctr Ireland Cork Ireland

ISBN: (纸本)9783030020538;9783030020521

Industry is undergoing a digital transition that will change the design and setup of human-machine systems. One part of this change is increasing possibilities of workers to influence their work. In this paper, we present four components of the Factory2Fit project that contribute to this change by engaging workers: (1) knowledge sharing and collaboration via a discussion platform;(2) visualisation of information via augmented reality (AR) glasses;(3) participatory design of workplaces and tasks by means of a 3D simulation software programme, and (4) an on-site training tool utilising a training platform. the demonstrators were evaluated with workers to identify foreseen benefits, challenges and impact on their work. Most of the concepts seem to be well accepted and they have high potential to improve work well-being and work performance. the results of this study are encouraging, but long-term field studies with actual prototypes will be needed to evolve the concepts.

关键词： Industry 4.0 Acceptance Engagement Work Manufacturing Smart factory

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algorithms for BEHAVIORAL ANALYSIS of LABORATORY ANIMALS in RADIOBIOLOGICAL RESEARCH 9

ALGORITHMS for BEHAVIORAL ANALYSIS of LABORATORY ANIMALS in ...

引用

9th international conference "Distributed computing and Grid Technologies in Science and Education", GRID 2021

作者： Stadnik, Alexey Streltsova, Oksana Podgainy, Dmitry Butenko, Yuriy Lyakhova, Kristina Severiukhin, Yuri Utina, Dina Nartikov, Aleksanr Meshcheryakov Laboratory of Information Technologies JINR 6 Joliot-Curie St. Dubna 141980 Russia Laboratory of Radiation Biology JINR 6 Joliot-Curie St. Dubna 141980 Russia Regional Scientific and Educational Mathematical Center North Ossetian State University after K. L. Khetagurov 44-46 Vatutina North Ossetia - Alania Vladikavkaz362025 Russia

As part of the development of an information system for radiobiological research, an algorithmic unit for analyzing video recordings of the behavior of laboratory animals to study the dependence on pathomorphological changes in the central nervous system after exposure to ionizing radiation and other factors. the analysis of data characterizing the behavioral responses of a laboratory animal based on machine and deep learning algorithms and computer vision methods. To achieve the goal of fully automating the processing of data from behavioral experiments, it is necessary to develop several groups of algorithms: algorithms for automated marking of the field of an experimental setup, algorithms for tracking the position of a mouse in an experimental setup of various types, and algorithms for assessing the characteristic behavioral patterns of an animal characterizing its emotional state. the paper proposes approaches and specific algorithms developed for use within the information system for processing data from radiobiological research. © 2021 CEUR-WS. All rights reserved.

关键词： Deep learning

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Age-Aware Query Evaluation for Big Data Analytics in Mobile Edge Clouds

Age-Aware Query Evaluation for Big Data Analytics in Mobile ...

引用

IEEE international conference on High Performance computing and Communications (HPCC)

作者： Qiufen Xia Wenhao Ren Mingchu Li Jiankang Ren International School of Information Science and Engineering Dalian University of Technology Dalian China School of Software Dalian University of Technology Dalian China School of Computer Science and Technology Dalian University of Technology Dalian China

ISBN: (纸本)9781728176499;9781728176505

the advancement of 5G technology and extensive usage of smart devices have led to a deluge of data. It is invaluable to analyze such big data by issuing queries to derive real-time business insights for better, smarter and fact-based decisions. Timely big data analytics are crucial in many service domains, thus the age of data (AoD) required by queries is emerging as a novel metric that measures the freshness of data and evaluates the quality of data analytics. Traditional big data analytics that are performed in remote clouds cannot satisfy the AoD requirements of queries, due to the congested core networks and long transmission latency between users and clouds. the technique of mobile edge computing (MEC) is expected to reduce the age and guarantee the timeliness of queries for big data analytics, by processing data at edge cloudlets close to users. In this paper, we investigate a problem of age-aware query evaluation for big data analytics in a mobile edge cloud network. We first formulate the problem with certain data processing latency as an Integer Linear Program (ILP). We then develop an online learning algorithm for the problem with uncertain data processing latency. We finally evaluate the performance of proposed algorithms against existing studies by simulations and testbed implementations. Evaluation results show that the proposed algorithms outperform existing works by achieving 20% lower AoD.

关键词： Measurement Data analysis Query processing High performance computing conferences Big Data Real-time systems

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Comparing *** and TensorFlow in Python: An Accessibility and Usage Analysis 6

Comparing *** and TensorFlow in Python: An Accessibility and...

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6th international conference on Contemporary computing and Informatics, IC3I 2023

作者： Nandan Challapalli, Sai Sri Mishra, Gaurav Pachauri, Yashansh Mishra, Awakash Kumar, Shipra Ravi Kumar, Lakshya Amity University Department of Computer Science Uttar Pradesh Greater Noida India Apeejay International School Uttar Pradesh Greater Noida India Maharishi University of Technology Uttar Pradesh Noida India JIIT Uttar Pradesh Noida India Amity University Uttar Pradesh Noida India

ISBN: (纸本)9798350304480

TensorFlow, a popular machine learning library released by Google, has gained significant traction among developers in creating ML models. It provides support for both Python and JavaScript, with ***, the JavaScript version. this paper presents a comparative analysis of these frameworks, focusing on accessibility factors like ease of learning, available content and tutorials, minimum required knowledge, and hardware requirements. the study highlights that TensorFlow for Python offers a comprehensive suite of tools and abundant resources, making it a robust choice for experienced developers. ***, on the other hand, stands out for its beginner-friendly characteristics. the research findings show that *** is very easy to deploy on the web and is capable of handling graphic intensive models (like face recognition using camera) on entry-level computers as well. this study looks at the advantages and disadvantages of TensorFlow in Python and *** in order to help new programmers choose the best tool for their machine learning projects. © 2023 IEEE.

关键词： Accessibility JavaScript Machine Learning Python TensorFlow

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Rightsizing: Using simulation tools to solve the problem of oversizing

Rightsizing: Using simulation tools to solve the problem of ...

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12th conference of international Building Performance Simulation Association Building Simulation 2011, BS 2011

作者： Djunaedy, E. van den Wymelenberg, K. Acker, B. thimmanna, H. Integrated Design Lab University of Idaho 306 S 6th St. Boise ID 83702 United States

Designers oversize HVAC systems for various reasons, and some reasons are more justifiable than others. In oversizing the system, the designers are essentially asking the building owner to incur the financial penalties of oversizing throughout the life of the HVAC system in favor of the theoretical benefit of perfect occupant comfort during the combination of all possible extreme conditions. the initial and ongoing financial penalties associated with oversizing are often not communicated to the client and neither are the potential comfort trade-offs of rightsizing. this paper presents the results of a study on the "rightsizing" of the rooftop HVAC systems. the study involves a survey and intensive interviews with HVAC designers regarding the design process to identify the factors that can lead to oversizing. the study also carried out extensive measurements on the performance of rooftop units (RTUs) under the peak cooling day design condition. the measurements were used to identify the signature of oversizing, and estimated penalty of oversizing in terms of energy consumption and peak electricity demand. this paper focuses on the results of the simulation exercise carried out as part of the study. the goal of the simulation work for the study was to extend the measured penalty estimate across the whole cooling season.

关键词： Energy utilization

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