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16th IEEE International Conference on Parallel and distributed systems, ICPADS 2010

作者： Rahman, Mustafizur Ranjan, Rajiv Buyya, Rajkumar Cloud Computing and Distributed Systems Laboratory Department of Computer Science and Software Engineering University of Melbourne Australia Service Oriented Computing Research Group School of Computer Science and Engineering University of New South Wales Australia

ISBN: (纸本)9780769543079

In this paper, we propose a taxonomy that characterizes and classifies different components of autonomic application management in Grids. We also survey several representative Grid systems developed by various projects world-wide to demonstrate the comprehensiveness of the taxonomy. The taxonomy not only highlights the similarities and differences of state-of-the-art technologies utilized in autonomic application management from the perspective of Grid computing, but also identifies the areas that require further research initiatives. © 2010 IEEE.

关键词： Surveys

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Base62x: An Alternative Approach to Base64 for non-Alphanumeric Characters

Base62x: An Alternative Approach to Base64 for non-Alphanume...

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2011 Eighth International Conference on Fuzzy System and Knowledge Discovery(第八届模糊系统与知识发现国际会议 FSKD 2011)

作者： Zhenxing Liu Richard Hill Lu Liu Yongzhao Zhan Distributed and Intelligent Systems Research Group School of Computing and Mathematics University Distributed and Intelligent Systems Research Group School of Computing and Mathematics University School of Computer Science and Telecommunication Engineering Jiangsu University Jiangsu China

In computer systems, printable characters include not only 62 alphanumeric characters (0-9, a-z and A-Z) but also non-alphanumeric characters (e.g. *, \, ∧, ％). Base64 is a commonly used encoding scheme that represents binary data in an ASCII string format However, for Base64, non-alphanumeric characters (e.g. *, \, ∧, ％) are problematic for filenames and URLs. For example, “+” is error-prone in URL and “/” is not allowed in filenames. To address this issue, we propose a new method, Base62x, as an alternative approach to Base64. The proposed method is more effective in application development and fully compatible with symbol-sensitive applications, such as, file systems, IP addresses and safe transmission of non-ASCII over the Internet.

关键词： Base62x Base64 Numeric notation Basel6

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Synthetically Generating Human-like Data for Sequential Decision Making Tasks via Reward-Shaped Imitation Learning

Synthetically Generating Human-like Data for Sequential Deci...

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Synthetic Data for Artificial Intelligence and Machine Learning: Tools, Techniques, and Applications 2023

作者： Brandt, Bryan Dasgupta, Prithviraj Distributed Intelligent Systems Section Information Technology Division Naval Research Laboratory WashingtonDC United States Computer Science Department University of Wisconsin-Whitewater WI United States

ISBN: (纸本)9781510661721

We consider the problem of synthetically generating data that can closely resemble human decisions made in the context of an interactive human-AI system like a computer game. We propose a novel algorithm that can generate synthetic, human-like, decision making data while starting from a very small set of decision making data collected from humans. Our proposed algorithm integrates the concept of reward shaping with an imitation learning algorithm to generate the synthetic data. We have validated our synthetic data generation technique by using the synthetically generated data as a surrogate for human interaction data to solve three sequential decision making tasks of increasing complexity within a small computer game-like setup. Different empirical and statistical analyses of our results show that the synthetically generated data can substitute the human data and perform the game-playing tasks almost indistinguishably, with very low divergence, from a human performing the same tasks. © 2023 SPIE.

关键词： Decision making

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Reconfigurable intelligent Surface Enhanced Wireless Localization: Phase Optimization for Malicious Interference Mitigation

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IEEE Transactions on Communications 2025年

作者： Zhang, Yi Xie, Yajing Wang, Lijia Liwang, Minghui Wang, Xianbin Xiamen University Ministry of Education of China Department of Information and Communication Engineering Key Laboratory of Multimedia Trusted Perception and Efficient Computing Xiamen China Tongji University Shanghai Research Institute for Intelligent Autonomous Systems Department of Control Science and Engineering Shanghai China Western University Department of Electrical and Computer Engineering ON Canada

Recently, unmanned aerial vehicles (UAVs) and reconfigurable intelligent surfaces (RISs) have merged as important enabling technologies for localization coverage extension and localization accuracy improvement under signal blockage and malicious interference conditions. However, most existing works assume known locations of jammers, which is generally impractical in real-world networks. To overcome this challenge, we propose a novel RIS-enhanced wireless localization framework against malicious interference with the support of either narrowband or orthogonal frequency division multiplexing (OFDM) pilot signals. A two-stage anti-jamming localization approach is developed to first estimate the unknown channel and signal information of the jammer and then localize the user’s position by eliminating the jamming signal. More importantly, we utilize the full potential of RIS to improve localization accuracy by optimizing the phase shift profile during the iterative process. Extensive simulation results demonstrate the commendable performance of our proposed framework, which can not only mitigate the jamming effect but also achieve better localization accuracy, offering a good reference for future heterogeneous and complex wireless networks. © 1972-2012 IEEE.

关键词： Frequency division multiplexing

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A hybrid case-based reasoner for footwear design 3rd

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3rd International Conference on Case-Based Reasoning, ICCBR 1999

作者： Main, Julie Dillon, Tharam S. Dept of Computer Science and Computer Engineering La Trobe University Bundoora3083 Australia Expert and Intelligent Systems Laboratory Applied Computing Research Institute Australia

ISBN: (纸本)3540662375

This paper details the way case-based reasoning has been used to aid footwear designers in creating new designs while maximizing component reuse. A hybrid system was created which uses an object- oriented memory model, neural networks for retrieval and fuzzy feature vectors to augment the basic case-based reasoning model. One of the main tasks involved in the design of any case-based system is determining the features that make up a case and finding a way to index these cases in a case-base for efficient and correct retrieval. This paper looks at the components of this footwear design system and how the various elements join together to create a useful system, in particular, how the use of fuzzy feature vectors and neural networks can improve the indexing and retrieval steps in case-based systems. © Springer-Verlag Berlin Heidelberg 1999.

关键词： Case based reasoning

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A distributed real-time intelligent alarm processing system with symbolic-connectionist computation 2

A distributed real-time intelligent alarm processing system ...

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2nd IEEE Workshop Real-Time Applications, RTA 1994

作者： Khosla, R. Dillon, T. Expert and Intelligent Systems Laboratory Applied Computing Research Institute Department of Computer Science and Computer Engineering La Trobe University MelbourneVIC3083 Australia

ISBN: (纸本)0818663758

In this paper we outline the features of a cognitively compatible symbolic-connectionist architecture for complex data intensive time-critical domains especially in the diagnostic area. We examine how a symbolic-connectionist architecture copes with the time-critical and size complexity aspects of a real time alarm processing system developed for a regional power system control centre. © 1994 IEEE.

关键词： distributed computer systems

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Dot-base62x: A Compact Textual Representation of IPv6 Address for Clouds

Dot-base62x: A Compact Textual Representation of IPv6 Addres...

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IEEE International Conference on Utility and Cloud computing (UCC)

作者： Zhenxing Liu Lu Liu James Hardy Ashiq Anjum Richard Hill Nick Antonopoulos Distributed and Intelligent Systems Research Group School of Computing and Mathematics University of Derby Derbyshire UK

Cloud computing has dramatically reshaped the whole IT industry in recent years. With the transition from IPv4 to IPv6, services running in Cloud computing will face problems associated with IPv6 addressing: the notation is too long (39 bytes), there are too many variants of a single IPv6 address and a potential conflict may exist with conventional http_URL notation caused by the use of the colon (:). This paper proposes a new scheme to represent an IPv6 address with a shorter, compact notation (27 bytes), without variants or conflicts with http_URL. The proposal is known as dot-base62x as it is an IPv6 address with Base62x and uses the well-known period (or dot) as a group delimiter instead of the colon. The relative merits and demerits of other works that predate this paper have been reviewed and critically evaluated. Cloud computing, as a continuously emerging mainstream of network-based applications, is likely to be a forerunner in the use of IPv6 as the base protocol. As a result, Cloud computing will benefit most from the new, compact and user-friendly textual representation of IPv6 address proposed by this paper.

关键词： Colon Cloud computing IP networks Particle separators IEEE Potentials Industries

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A Conceptual Design of an Adaptive and Collaborative E-Work Environment

A Conceptual Design of an Adaptive and Collaborative E-Work ...

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Asia International Conference on Modeling & Simulation

作者： Obinna Anya Hissam Tawfik Atulya Nagar Intelligent and Distributed Systems Research Laboratory Liverpool Hope University Liverpool UK

Emerging work models increasingly take the form of loosely structured, often self-organising networks of nimble and virtual knowledge work teams within and between organisations. To model such work patterns requires a different approach from that of traditional workflow management systems. This paper presents the conceptual design of a prototype adaptive and collaborative e-Work environment - e-Workbench, which we are currently developing to enable future collaborative workspaces to adapt to emerging knowledge work models. We argue that with appropriate knowledge of tasks, workspaces will be able to adapt to work, and automatically retrieve contextually relevant knowledge elements from the Web in order to contribute creatively to problem solving and semantically manage shared information among collaborating workers. Our goal is to enable e-Workbench to become, not only a working environment but also, a collaborator and a co-worker as a result of its knowledge of work and creative participation in problem solving

关键词： Collaboration Collaborative work Knowledge management Problem-solving Collaborative software intelligent agent intelligent structures Workflow management software Information retrieval Information management

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Mining Segment-Wise Periodic Patterns in Time-Related Databases 4

Mining Segment-Wise Periodic Patterns in Time-Related Databa...

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4th International Conference on Knowledge Discovery and Data Mining, KDD 1998

作者： Han, Jiawei Gong, Wan Yin, Yiwen Intelligent Database Systems Research Laboratory School of Computing Science Simon Fraser University BurnabyBCV5A 1S6 Canada

ISBN: (纸本)1577350707

Periodicity search, that is, search for cychcity in time-related databases, is an interesting data mining problem. Most previous studies have been on finding full-cycle periodicity for aü the segments in the selected sequences of the data, that is, if a sequence is periodic, all the points or segments in the period repeat. However, it is often useful to mine segment-wise or point-wise periodicity in (ime-related data sets. In this study, we integrate data cube and Apriori data mining techniques for mining segment-wise periodicity in regard to a fixed length period and show that data cube provides an efficient structure and a convenient way for interactive mining of multiple-level periodicity. © 1998 Proceedings of the 4th International Conference on Knowledge Discovery and Data Mining, KDD 1998. All rights reserved.

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Comparative Analysis of Machine Learning Models for Diabetes Mellitus Type 2 Prediction

Comparative Analysis of Machine Learning Models for Diabetes...

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2020 International Conference on Computational Science and Computational Intelligence, CSCI 2020

作者： Ismail, Leila Materwala, Huned United Arab Emirates University College of Information Technology Distributed Computing and Systems Research Laboratory Department of Computer Science and Software Engineering Abu-Dhabi Al-Ain15551 United Arab Emirates

ISBN: (纸本)9781728176246

Diabetes is one of the top 10 causes of death worldwide. Health professionals are aiming for machine learning models to support the prognosis of diabetes for better healthcare and to put in place an effective prevention plan. In this paper, we conduct a comparative analysis of the most used machine learning models in the literature to predict the prevalence of diabetes mellitus type 2. We evaluate the models in terms of accuracy, F-measure and execution time with and without feature selection using a real-life diabetes dataset. The detailed analysis is in the paper. © 2020 IEEE.

关键词： Medical informatics

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