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Optimised mobile reasoning for pervasive service discovery

Optimised mobile reasoning for pervasive service discovery

引用

IEEE International Conference on Web Services, ICWS 2008

作者： Steller, Luke Krishnaswamy, Shonali Centre for Distributed Systems and Software Engineering Monash University Melbourne Australia

ISBN: (纸本)9780769533100

Today's mobile users have access to a wide range of web-based services. This paper presents our m-Tableaux algorithm for enabling cost-efficient and optimised semantic reasoning to support pervasive service discovery. We present performance evaluation of the m-Tableaux optimisation strategies which clearly demonstrate its operational feasibility on a mobile device. © 2008 IEEE.

关键词： Semantics

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Resource-aware ECG analysis on mobile devices 11

Resource-aware ECG analysis on mobile devices

引用

Proceedings of the 2011 ACM Symposium on Applied Computing

作者： Sinha, Abhijat Tayebi, Hossein Krishnaswamy, Shonali Waluyo, Agustinus Borgy Gaber, Mohamed Medhat Centre for Distributed Systems and Software Engineering Monash University Australia University of Portsmouth United Kingdom

ISBN: (纸本)9781450301138

关键词： Time series analysis

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Reasoning about context in uncertain pervasive computing environments

Reasoning about context in uncertain pervasive computing env...

引用

3rd European Conference on Smart Sensing and Context, EuroSSC 2008

作者： Delir Haghighi, Pari Krishnaswamy, Shonali Zaslavsky, Arkady Gaber, Mohamed Medhat Center for Distributed Systems and Software Engineering Monash University Australia

ISBN: (纸本)354088792X

Context-awareness is a key to enabling intelligent adaptation in pervasive computing applications that need to cope with dynamic and uncertain environments. Addressing uncertainty is one of the major issues in context-based situation modeling and reasoning approaches. Uncertainty can be caused by inaccuracy, ambiguity or incompleteness of sensed context. However, there is another aspect of uncertainty that is associated with human concepts and real-world situations. In this paper we propose and validate a Fuzzy Situation Inference (FSI) technique that is able to represent uncertain situations and reflect delta changes of context in the situation inference results. The FSI model integrates fuzzy logic principles into the Context Spaces (CS) model, a formal and general context reasoning and modeling technique for pervasive computing environments. The strengths of fuzzy logic for modeling and reasoning of imperfect context and vague situations are combined with the CS model's underlying theoretical basis for supporting context-aware pervasive computing scenarios. An implementation and evaluation of the FSI model are presented to highlight the benefits of the FSI technique for context reasoning under uncertainty. © 2008 Springer Berlin Heidelberg.

关键词： Fuzzy logic

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Mobile data mining for intelligent healthcare support

Mobile data mining for intelligent healthcare support

引用

42nd Annual Hawaii International Conference on System Sciences, HICSS

作者： Haghighi, Pari Delir Zaslavsky, Arkady Krishnaswamy, Shonali Gaber, Mohamed Medhat Center for Distributed Systems and Software Engineering Monash University Australia

ISBN: (纸本)9780769534503

The growth in numbers and capacity of mobile devices such as mobile phones coupled with widespread availability of inexpensive range of biosensors presents an unprecedented opportunity for mobile healthcare applications. In this paper we propose a novel approach for Situation-Aware Adaptive Processing (SAAP) of data streams for smart and real-time analysis of data. The implementation and evaluation of the framework for a health monitoring application is described. © 2009 IEEE.

关键词： mHealth

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distributed data stream classification for wireless sensor networks 10

Distributed data stream classification for wireless sensor n...

引用

25th Annual ACM Symposium on Applied Computing, SAC 2010

作者： Gaber, Mohamed Medhat Shiddiqi, Ary Mazharuddin Centre for Distributed Systems and Software Engineering Monash University Australia Clayton School of Information Technology Monash University Australia

ISBN: (纸本)9781605586380

It has been established experimentally that in-network processing in wireless sensor networks is the acceptable mode of operation. However, this solution is faced by resource constraints of the sensor nodes, especially when running traditional data mining techniques that tend to consume the resources rapidly. On the other hand, data stream mining algorithms still fall short with the limited computational capabilities of the nodes. These algorithms need real-time adaptation to availability of resources. distributed processing is also essential to produce a global model of the data streams emanated from the network. In this paper, we propose a novel distributed data stream classification technique that is able to adapt to availability of resources in wireless sensor networks. © 2010 ACM.

关键词： Classification (of information)

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Congestion avoidance algorithm using extended kalman filter

Congestion avoidance algorithm using extended kalman filter

引用

2nd International Conference on Convergent Information Technology, ICCIT 07

作者： Kim, Sung-Soo Kang, Yong-Bin Digital Content Research Division ETRI Korea Republic of Centre for Distributed Systems and Software Engineering Monash University Australia

ISBN: (纸本)0769530389

The prediction of traffic congestion is quite an important issue in vehicle navigation to smoothly control traffic flow, and improve the quality of driver's convenience. However, it is not easy to make accurate predictions since traffic change is highly nonlinear and complex dynamic process. First, we present a new traffic prediction algorithm on the basis of the combined knowledge of both the historical and the real-time traffic information. Based on this traffic prediction result, this paper presents a novel routing technique capable of providing intelligent route services completely adequate to dynamic route guidance systems. In our experiments, we have performed the proposed algorithms on two road networks;one of the complex urban areas and the city. Overall, the results of traffic prediction indicate that our prediction algorithms provide more accurate (nearly 90%) traffic information compared with previous traffic prediction solutions. In addition, our implementation of route determination provides the adaptive routes for traffic conditions, as well as scalable routing services for users' preferences. © 2007 IEEE.

关键词： Extended Kalman filters

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Role of context-awareness for demand response mechanisms

引用

Lecture Notes in Computer Science

作者： Haghighi, Pari Delir Krishnaswamy, Shonali Centre for Distributed Systems and Software Engineering Monash University 900 Dandenong Rd Caulfield East VIC 3145 Australia

ISBN: (纸本)9783642234460

Recently due to major changes in the structure of electricity industry and the rising costs of power generation, many countries have realized the potential and benefits of smart metering systems and demand response programs in balancing between the supply and the demand. DR mechanisms are capable of controlling the user energy consumption according to load conditions and providing effective energy management. However, they are typically performed regardless of user's situation and current activities. Factoring in the user's contextual information which is relevant to their current or future energy consumption can significantly increase the effectiveness of DR programs and enable adaptive and personalized execution of DR control actions. In this paper, we review current DR techniques and discuss the state-of-the-art smart energy management approaches that take into account contextual information. An overview of context reasoning and learning techniques for smart homes are presented to demonstrate how knowledge of user activities can be utilized in context-aware DR mechanisms. Our aim is to provide a better understanding of DR programs and highlight the importance of the context-awareness in improving smart energy management. © 2011 Springer-Verlag.

关键词： Energy management

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Test order for class-based integration testing of Java applications

Test order for class-based integration testing of Java appli...

引用

5th International Conference on Quality software, QSIC 2005

作者： Hashim, Nor Laily Schmidt, Heinz W. Ramakrishnan, Sita Centre for Distributed Systems and Software Engineering Monash University 900 Dandenong Road Caulfield Vic. 3145 Australia

ISBN: (纸本)0769524729

This paper presents an improvement to existing class test ordering stategies by including coupling measures to reduce non-determinism and decrease the number of stubs to be produced. Our novel strategy aims to lift the known methods from class hierarchies to component-based product lines in which so-called connectors between components are key entities for structuring, assembling and integrating software architectures, and in which tighter coupling of classes inside components and looser coupling between classes in different components are fundamental to component-based architecture composition. The paper also evaluates the new method and confirms the expected reductions in the number of stubs generated and the improved test ordering. Two recent test order strategies for C++ are compared with our novel approach through experiments conducted on two mini product lines written in Java. The new proposed test ordering strategy is more deterministic through measuring coupling, which is at the heart of component-based product line architectures. © 2005 IEEE.

关键词： Java programming language

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RA-SAX: Resource-aware symbolic aggregate approximation for mobile ECG analysis

RA-SAX: Resource-aware symbolic aggregate approximation for ...

引用

2011 12th IEEE International Conference on Mobile Data Management, MDM 2011

作者： Tayebi, Hossein Krishnaswamy, Shonali Waluyo, Augustinus Borgy Sinha, Abhijat Gaber, Mohamed Medhat Centre for Distributed Systems and Software Engineering Monash University Melbourne VIC Australia School of Computing University of Portsmouth Portsmouth United Kingdom

ISBN: (纸本)9780769544366

There is a growing focus on 24/7 cardiac monitoring that leverages state of the art mobile phones and commercial-off-the-shelf (COTS) wearable bio-sensors. While many signal processing techniques for mobile ECG analysis have been developed, these techniques tend to be computationally intensive. In this paper, we propose, develop and evaluate a resource-aware and energy-efficient time series analysis technique for real-time ECG analysis on mobile devices based on the well-known SAX (Symbolic Aggregate Approximation) representation for time series termed RA-SAX. © 2011 IEEE.

关键词： Aggregates

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Mining data streams: A review

Mining data streams: A review

引用

作者： Gaber, Mohamed Medhat Zaslavsky, Arkady Krishnaswamy, Shonali Centre for Distributed Systems and Software Engineering Monash University 900 Dandenong Rd. Caulfield East Vic. 3145 Australia

The recent advances in hardware and software have enabled the capture of different measurements of data in a wide range of fields. These measurements are generated continuously and in a very high fluctuating data rates. Examples include sensor networks, web logs, and computer network traffic. The storage, querying and mining of such data sets are highly computationally challenging tasks. Mining data streams is concerned with extracting knowledge structures represented in models and patterns in non stopping streams of information. The research in data stream mining has gained a high attraction due to the importance of its applications and the increasing generation of streaming information. Applications of data stream analysis can vary from critical scientific and astronomical applications to important business and financial ones. Algorithms, systems and frameworks that address streaming challenges have been developed over the past three years. In this review paper, we present the state-of-the-art in this growing vital field.

关键词： Data mining

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