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检索条件"任意字段=2022 IEEE Asia-Pacific Conference on Computer Science and Data Engineering, CSDE 2022"

共 960 条记录，以下是81-90 订阅

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Design data Literacy - Impact of data Literacy in Virtual Product Development

Design Data Literacy - Impact of Data Literacy in Virtual Pr...

引用

8th ieee asia-pacific conference on computer science and data engineering (ieee csde)

作者： Giese, Tim G. Anderl, Reiner Tech Univ Darmstadt Dept Comp Integrated Design DiK Darmstadt Germany

ISBN: (纸本)9781665495523

In today's information age, due to the massive amounts of data generated, an understanding about the interaction with data is becoming increasingly significant. While in virtual product development of technical components, a lot of research regarding the collection and storage of data exists, we identified missing key competencies for the interaction with design data. In the collaborative and multidisciplinary design process of technical products, designers are missing knowledge about: the origin of a data piece, an understanding about the reliability of a source, as well as transparency to whom their data is distributed and how it is further used. Approaching this problem, we identified the necessity of providing designers with relevant skills and information. Therefore, we developed a novel concept for the introduction and application of data Literacy to product development in order to create transparency and awareness for a responsible generation and use of design data. The concept is called Design data Literacy and consists of the 3 major pillars: data Provenance, data Tracking and Tracing, as well as data Sovereignty. To validate the concept, we conducted a prototypical implementation and evaluation. We came to the conclusion that the presented concept can be used effectively to introduce and apply data Literacy to product development.

关键词： data Literacy data Sovereignty data Tracking design product development Design data Literacy

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Transfer Learning in Monte Carlo Tree Search

Transfer Learning in Monte Carlo Tree Search

引用

2023 ieee asia-pacific conference on computer science and data engineering, csde 2023

作者： Cleaver, Nathan Neshatian, Kourosh University of Canterbury Department of Computer Science and Software Engineering Christchurch New Zealand

ISBN: (纸本)9798350341072

Transfer learning is the ability to transfer knowledge from one context to another. This paper investigates, for the first time, the possibility of transfer learning on Monte Carlo Tree Search (MCTS). We use distributed parallel MCTS to construct game-playing models for one variant of chess and then transfer these models to another domain to play a different variant of chess. We also introduce a novel pruning mechanism for MCTS to cope with memory requirements of large game trees. Our results show that positive transfer learning in MCTS is possible, and in our case, highly successful. Transferred models significantly outperform models that have to be trained from scratch. © 2023 ieee.

关键词： Monte Carlo methods

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Solving the Bounded-Depth Steiner Tree Problem using an Adiabatic Quantum computer

Solving the Bounded-Depth Steiner Tree Problem using an Adia...

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2019 ieee asia-pacific conference on computer science and data engineering, csde 2019

作者： Liu, Kai Dinneen, Michael J. University of Auckland School of Computer Science Auckland New Zealand

ISBN: (纸本)9781728163031

We propose a quadratic unconstrained binary optimization (QUBO) formulation for the Bounded-Depth Steiner Tree problem suitable for adiabatic quantum computers. The numbers of qubits (dimension of QUBO matrices) required by our formulation is O(|V|3), where |V| represents the number of vertices. A D-Wave 2X computer consisting of 1098 active qubits is evaluated for a selection of known common graphs. Experimental results are shown and discussed. Our results are applicable to the Bounded-Depth Minimum Spanning Tree problem, as a special case. © 2019 ieee.

关键词： Qubits

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Evaluation of data Durability in Erasure Coding Using Peak Shift Method of Drive Failure Risk

Evaluation of Data Durability in Erasure Coding Using Peak S...

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2023 ieee asia-pacific conference on computer science and data engineering, csde 2023

作者： Nakamura, Takaki Kamei, Hitoshi Cyberscience Center Tohoku University Sendai Japan Faculty of Engineering and Design Kagawa University Takamatsu Japan

ISBN: (纸本)9798350341072

We evaluate data durability in erasure coding using a proposed method called peak shift method of drive failure risk. The proposed method creates data protection groups of drives with different drive failure risks such as different operation times so that the predicted peaks of the drive failure risks are not concentrated at the same time. This reduces the probability of multiple drive failures occurring at the same time, thereby reducing the probability of data loss. Under the supposed conditions, the data loss probability can be reduced by up to one order of magnitude by using existing drives that have been in operation for about 700 days. © 2023 ieee.

关键词： Weibull distribution

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Boundary and Relationality in Systems Design: Toward Designing System of Systems

Boundary and Relationality in Systems Design: Toward Designi...

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2019 ieee asia-pacific conference on computer science and data engineering, csde 2019

作者： Shimohara, Katsunori Doshisha University Graduate School of Science and Engineering Kyoto Japan

ISBN: (纸本)9781728163031

Toward the understanding and design of System of Systems (SoS) which consists of functional and complex interactions and cooperation of independent systems, we explore a possibility of boundary and relationality perspective systems approach introducing 'boundary' and 'relationality' as the key concept. Ideas are to postulate that a given boundary structuralizes a group of independent systems, generates relationality between them, and eventually the functionality and performance as SoS should be revealed, and to devise how to create boundary and how to design relationality dynamically as a possible systems approach. In this paper, we discuss the significance and potential of the boundary and relationality perspective systems approach. © 2019 ieee.

关键词： System of systems

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Statistical Methods for data mining Mathematics students' online presence

Statistical Methods for Data mining Mathematics students' on...

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8th ieee asia-pacific conference on computer science and data engineering (ieee csde)

作者： Naseem, Mohammed Reddy, Emmenual Nand, Ravneil Univ South Pacific Sch Informat Technol Engn Math & Phys Suva Fiji

ISBN: (纸本)9781665495523

COVID-19 has caused major changes in every aspect of human endeavor, including efforts in the higher education sector. A sudden shift from face-to-face and blended settings to a completely online delivery mode has introduced changes to conventional teaching methods, and made learning rely heavily on technology and the Internet. Hence, students' online engagement with these tools has become even more important for their academic success. Therefore, there is a need to investigate the effects of various indicators of students' online presence on their academic performance. This paper explores the effectiveness of online presence in Higher Education Institutes, where COVID-19 has shifted the deliveries to online mode. The chosen indicator is frequency that will be adequately used to quantify the effectiveness of online presence on student performance in online mathematics courses. Statistical methods are used to measure the correlation and association between students' online presence indicators and their performance. As such, it would allow to build models to predict future outcomes or occurrences and student performances, with a major focus on mathematics and statistics courses. The results show that there is an increase in student online interaction in courses during COVID-19 era;however, it is consistent with the Online Measureable Presence Model (OMPM) model where frequency was the dominant indicator of student performance.

关键词： online presence mathematics data mining virtual learning environments higher education

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Examination of the optimum regional point system by Gift Circulation Model

Examination of the optimum regional point system by Gift Cir...

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2020 ieee asia-pacific conference on computer science and data engineering, csde 2020

作者： Yurika, Shiozu Mizuki, Tanaka Ryo, Shioya Katsunorie, Shimohara Kyoto Sangyo University Faculty of Ecinimics Kyoto Japan Doshisha University Graduate School of Science and Engineering Kyotanabe Japan

ISBN: (纸本)9781665419741

Community currencies have been used for regional revitalization in various area of Japan, however, there are problems in many cases. In this paper, we built our original Gift Circulation Model as a regional point system and performed multi-agent simulation. Based on this data, we considered the conditions for promoting people's interaction by Difference In Difference analysis. As a result of the analysis, to make system that increasing more points for the participants, it is possible to promote people's interaction by giving points between participants. © 2020 ieee.

关键词： Multi agent systems

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Ref-CAMLA: A Reference Architecture for Context Aware Mobile Learning Applications

Ref-CAMLA: A Reference Architecture for Context Aware Mobile...

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2020 ieee asia-pacific conference on computer science and data engineering, csde 2020

作者： Kumar, Bimal Aklesh Sharma, Bibhya Nakagawa, Elisa Yumi Fiji National University Department of Computer Science and Information Systems Fiji The University of the South Pacific School of Computing Information and Mathematical Sciences Institute of Mathematics and Computational Sciences University of Sao Paulo Brazil

ISBN: (纸本)9781665419741

Context Aware Mobile Learning (CAML) provides learning material tailored to the need and particular circumstances of the learner. This paper proposes a reference architecture named Ref-CAMLA to support the development of future CAML applications that would help in achieving;standardization, reduce development cost, and shorter time to market. The evaluation results indicate that Ref-CAMLA contains the necessary elements required of the reference architecture and solves the motivated problem in this research. © 2020 ieee.

关键词： E-learning

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Memory Access Characteristics of Neural Network Workloads and Their Implications

Memory Access Characteristics of Neural Network Workloads an...

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2022 ieee asia-pacific conference on computer science and data engineering, csde 2022

作者： Park, Soyeon Bahn, Hyokyung Ewha University Dept. of Computer Engineering Seoul Korea Republic of

ISBN: (纸本)9781665453059

With the recent advances in machine learning and many-core computing technologies, neural networks are widely used in various service domains of the 4th industrial revolution. As the data set of neural network is becoming increasingly large, it is important to analyze the memory access characteristics of neural network workloads. In this paper, we perform a comprehensive analysis of memory access behaviors in four types of neural network configurations, i.e., CNN (convolutional neural networks), RNN (recurrent neural networks), DNN (deep neural networks), and ANN (artificial neural networks). From this analysis, we observe the following characteristics, which are quite different from traditional desktop and smartphone memory accesses. First, we analyze the access bias of memory locations and find that most memory accesses occur in a certain limited memory locations. Second, the identity of these hot locations is the data and heap regions, which account for over 90% of total memory accesses. Third, the bias of memory access in neural network workloads is relatively weaker than other desktop or smartphone workloads, specially for write operations. Fourth, write operations account for about twice of read operations regardless of neural network types. Fifth, in predicting re-access likelihood, temporal locality provides better information than access frequency in read operations, but combining the two properties is necessary for accurate estimation in write operations. We anticipate that the analysis of this study will be a good guideline for designing an efficient memory system for neural network workloads. © 2022 ieee.

关键词： Frequency estimation

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Visualization of NAPLAN data: What Do We Learn From?

Visualization of NAPLAN Data: What Do We Learn From?

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2020 ieee asia-pacific conference on computer science and data engineering, csde 2020

作者： Bui, Vinh Peddell, Lewes Willis, Royce Southern Cross University Gold Coast Australia

ISBN: (纸本)9781665419741

The National Assessment Program-Literacy and Numeracy (NAPLAN) is a series of tests focused on basic skills that are administered annually to Australian students. An interesting research question for us is that what factors contribute to a student's NAPLAN score. This paper presents some findings from the NAPLAN data from the data in regard to the research question. However, the contribution that we want to make in this paper is not just the findings of the study but also the process to discover the findings. Our discussion focuses on the method and data visualization techniques used to gain an insight to the NAPLAN data. © 2020 ieee.

关键词： data visualization

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