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11th Annual IEEE international conference on Pervasive computing and Communications (PerCom)

作者： Liang, Guanqing Cao, Jiannong Zhu, Weiping Hong Kong Polytech Univ Dept Comp Hong Kong Hong Kong Peoples R China

ISBN: (纸本)9781467345750;9781467345736

Social activities have great impact for human beings in psychological health and social relationship. the recognition of social activities can unobtrusively recognize and record users' daily social activities, enabling users to better manage their life. Existing work of social activity recognition focus on recognizing a limited set of social activities and are mainly based on the patterns of individual user such as location pattern, vocal pattern, or others. However, social activities inherently exhibit the patterns with respect to multiple users rather individual user. In this paper, we introduce the concept of social circle, to extract social patterns associated with multiple users in a generic set of social activities. A social circle refers to a set of users frequently gathering to conduct certain social activities. Based on social circle, we design a system called CircleSense that supports accurate recognition of a generic set of social activities. We validate the effectiveness of CircleSense through the real trace collected by 10 volunteers. the result shows that CircleSense outperforms existing methods in terms of accuracy of social activity recognition.

关键词： Pervasive computing Social Activity recognition Social Circle

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Extensible service knowledge

Extensible service knowledge

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2013 IEEE 10th international conference on Services computing, SCC 2013

作者： Maurel, Yoann Leveque, thomas Lalanda, Philippe Bourret, Pierre Department of Computing Imperial College London United Kingdom Laboratoire Informatique de Grenoble Grenoble France

ISBN: (纸本)9780768550268

In most Service-Oriented frameworks service selection is based on provider-centric information despite well-known shortcomings (trustworthiness, incompleteness, subjectivity). We propose to allow consumers and third-party modules to extend information about providers and their services directly into the service registry. the knowledge is organized and shared via access controlled groups of interest. Services can be discovered using this knowledge. Our solution is integrated to OSGi and uses the decorator-pattern to make usage transparent. © 2013 IEEE.

关键词： Quality of service

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PSRPS: A workload pattern sensitive resource provisioning scheme for cloud systems

PSRPS: A workload pattern sensitive resource provisioning sc...

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2013 IEEE 10th international conference on Services computing, SCC 2013

作者： Zhang, Feifei Wu, Jie Lu, ZhiHui College of Computer Science Fudan University Shanghai China

ISBN: (纸本)9780768550268

On-demand resource provisioning is with great challenge in cloud systems. the key problem is how to learn about the future workload in advance to help determine resource allocation. there are various prediction models developed to predict the future workload. the major problem of previous researches is that they assume that application workload has static pattern. In practice, so many application workloads have hybrid dynamic pattern overtime. To achieve high prediction accuracy, we find that it's essential to detect both workload pattern stage and the changes in the model parameters. In this paper, we present a pattern Sensitive Resource Provisioning Scheme, named PSRPS. It can recognize application workload patterns and choose suitable prediction models for prediction online. Besides, when there is maladjustment in prediction models, PSRPS can switch prediction models or adjust the parameters of the model by itself to adaptively to guarantee prediction accuracy. © 2013 IEEE.

关键词： Error correction

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An application of hybrid computing to estimate jointly the amplitude and Direction of Arrival with single snapshot

An application of hybrid computing to estimate jointly the a...

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10th international Bhurban conference on Applied Science and Technology (IBCAST)

作者： Zaman, Fawad Khan, Junaid Ali Khan, Zafar Ullah Qureshi, Ijaz Mansoor Int Islamic Univ Dept Elect Engn Islamabad Pakistan

ISBN: (纸本)9781467344265;9781467344258

In this paper, utilization of hybrid computational approach is evaluated for the joint estimation of amplitude and Direction of Arrival of far field sources impinging on a uniform linear array. In this hybrid approach, swarm intelligence based on Particle swarm optimization is exploited as a global optimizer assisted with pattern search technique as a rapid local search technique. the optimization of adaptive parameters depending upon the amplitudes and direction of arrival is performed using the fitness function based on Mean Square Error that defines an error between desired response and estimated response. the interest in this function is due to its ease in implementation, efficiency and simplicity of concept. It is derived from Maximum Likelihood and requires only single snapshot to converge. the proposed algorithm is robust enough to produce fairly good results even in the presence of low signal-to-Noise Ratio and requires relatively less number of antenna elements in the array. the results of hybrid technique are much better as compared to Particle Swarm Optimization and pattern search alone. A number of test cases are discussed on the basis of different number of sources impinging on the array with different number of sensors in the array. the accuracy and reliability of the proposed scheme is tested on the basis of Monte-Carlo simulations and its superior statistical analysis.

关键词： Direction of Arrival Particle Swarm optimization pattern Search Uniform Linear Array

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FTAB: Fault Tolerance Approach by Using HMM with BAUM-WELCH Algorithm in MCC

FTAB: Fault Tolerance Approach by Using HMM with BAUM-WELCH ...

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10th IEEE and IFIP international conference on Wireless and Optical Communications Networks (WOCN)

作者： Patel, Pushpraj Prakash, Vijay SVITS Dept Comp Sci & Engn Indore Madhya Pradesh India

ISBN: (纸本)9781467359979;9781467359993

Fault tolerance in mobile cloud computing is highly important aspect, even more than a conventional cloud computing because of the mobile nature of devices i.e. mobility. Mobile cloud computing (MCC) combines cloud computing and mobile devices to provide the benefits for mobile users, network operators and cloud providers also. Mobile devices have various problems like enter and leave the connection unpredictably, Limitation of battery power, frequent location changes, network signal loss, hardware failures and other common factors. Mobile devices appear and disappear in the network unpredictably. the proposed technique reduces the faults of mobile devices by using the past pattern of states and making the decision for predicting the future states of mobile devices. In this paper we have proposed a fault monitoring technique which is based on Hidden Markov Model (HMM) and Baum-Welch algorithm for analyzing and predicting the future resource state.

关键词： cloud computing mobile cloud computing monitoring time interval pattern and Hidden Markov model

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Simulating gait and structural effects of aging for improved diversity in virtual crowds

Simulating gait and structural effects of aging for improved...

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10th international conference Computer Graphics, Imaging, and Visualization, CGIV 2013

作者： Gunaratne, Chathika Wimalaratne, Prasad University of Colombo School of Computing Colombo 7 Sri Lanka

ISBN: (纸本)9780769550510

In real human crowds, diversification is caused by many factors such as gender, age, skin color, clothing, walking style, psychology etc., yet most crowd simulation systems rely only on appearance related variables for diversification. this research explores improving crowd diversity by simulating the biomechanical effects of aging in humans within crowd characters. Simulated characters were reprogrammed to be able to predict their behavior through an aging parameter predictor using support vector regression respective to their age. Data from gerontology studies recording spinal curvature and walking pattern deterioration with age were used for training. A spatial diversity algorithm was designed and implemented to distribute the resulting variants evenly among each other. Evaluations were conducted to gauge the impact on the diversification of the crowd simulation. the results prove that simulating posture and walking pattern deterioration in older characters does significantly improve biomechanical diversity within a virtual human crowd. © 2013 IEEE.

关键词： Deterioration

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Securely Storing and Executing Business Processes in the Cloud

Securely Storing and Executing Business Processes in the Clo...

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10th international conference on Business Process Management (BPM)

作者： Martinho, David Ferreira, Diogo R. IST Tech Univ Lisbon Lisbon Portugal

ISBN: (纸本)9783642362859;9783642362842

this paper proposes an architectural solution that allows organizations to rely on cloud-based services to securely operate their business processes. the solution is built upon a thick client and thin server architectural pattern, where security constructs such as public-key and symmetric cryptographic systems are used to maintain confidentiality between the participants while keeping the server unaware of their participations and business process instances.

关键词： Cloud computing Security BPM Cryptography Systems

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PSO-Based Fuzzy Logic Optimization of Dual Performance Characteristic Indices for Fast Charging of Lithium-Ion Batteries

PSO-Based Fuzzy Logic Optimization of Dual Performance Chara...

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IEEE 10th international conference on Power Electronics and Drive Systems (PEDS)

作者： Liu, Chun-Liang Wang, Shun-Chung Chiang, Shao-Shan Liu, Yi-Hwa Ho, Chien-Hung Lunghwa Univ Sci & Technol Tao Yuan Taiwan Natl Taiwan Univ Sci & Technol Taipei Taiwan

ISBN: (纸本)9781467317924;9781467317900

Efficacies of the charging strategy and electrified pattern dominate the functionality and lifespan of Lithium-ion (Li-ion) batteries intensely. In order to maximize the available performance of the Li-ion batteries, in this paper, a searching strategy based on the particle swarm optimization (PSO) conducted with a fuzzy-deduced fitness evaluator (FDFE) is proposed to find the best multistage charging current pattern. the objective function is to maximize the cost benefit of the applied prospective charging pattern based on the nonlinear weightings' allocation of the charge time (CT) and normalized discharge capacity (NDC) in the objective function. Rules of the weighting allocation are derived from the fuzzy logic inference. the fitness value of each candidate particle (charging pattern) is figured out by the FDFE to guide the searching path of the PSO algorithm for finding the optimal solution out. Experimental findings show that the resulted pattern is capable of charging the batteries to over 90% available capacity within 50 minutes. Comparing with the conventional constant current-constant voltage (CC-CV) method, the devised scheme has the performance enhancements of more than 80% charging time reduction, 21% more life cycles, and over 0.4% charging efficiency increase.

关键词： cost-benefit analysis fuzzy logic fuzzy reasoning particle swarm optimisation power engineering computing search problems secondary cells

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Teaching Students to Design and Implement Social Networks Using MVC as a Capstone Experience

Teaching Students to Design and Implement Social Networks Us...

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10th international conference on Information Technology - New Generations (ITNG)

作者： Shaw, Alan Kent State Univ CS Dept Kennesaw GA 30144 USA

ISBN: (纸本)9780769549675

Undergraduate CS courses involve a range of design and development experiences which are often brought together in a comprehensive way as a capstone project in a student's senior year. the goal of a capstone experience is to help students demonstrate that they can integrate various CS skills they have been taught in a practical way. the importance of being able to apply what a student has learned in a practical way as a student prepares to graduate and enter the workforce cannot be overstated. We have developed a Capstone Course project where students build a social networking application using ASP. NET MVC to integrate skills learned in Programming Principles, Software Engineering, Database Design and Web Design courses. And we believe this type of project can serve as a model that can be applied in many different schools and contexts. Because the MVC pattern is used, each part of the system is modular, with the model, the view and the controller requiring different sets of skills. Students can apply their skills to implementing the entire framework themselves as it is presented to them, or they can redesign portions of the framework and integrate their redesign into the original architecture. Either way, students experience the integration of a wide variety of skills in a compelling way since they are doing so while building a social networking application that they can test on their friends.

关键词： social networking social computing software architecture web design

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Standalone First Level Event Selection Package for the CBM Experiment

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IEEE TRANSACTIONS ON NUCLEAR SCIENCE 2013年第5期60卷 3703-3708页

作者： Kisel, Ivan Kulakov, Igor Zyzak, Maksym Goethe Univ Frankfurt D-60325 Frankfurt Germany FIAS D-60438 Frankfurt Germany Helmholtz Ctr Heavy Ion Res GSI D-64291 Darmstadt Germany

the main focus of the CBM experiment (FAIR, Germany) is the measurement of very rare probes at interaction rates of up to 10 MHz. the experiment will operate with a data flow of up to 1 TB/s and requires full online event reconstruction and selection. this is a task of the First Level Event Selection (FLES). A standalone FLES package has been developed for the CBM experiment. It contains modules for all reconstruction stages: track finding, track fitting, short-lived particle finding and selection. Reconstruction of about 50 types of particle decay channels is currently implemented. the algorithms are local with respect to data and their implementation is both vectorized (SIMD) and parallelized between CPU cores. For the track reconstruction the Cellular Automaton (CA) and the Kalman filter (KF) algorithms are used, that allows to achieve a high track reconstruction efficiency of up to 97% and a track parameters quality with 1% momentum resolution. the KF particle finder has a high efficiency with an optimal signal to background ratio. the FLES package shows a strong scalability on many-core systems and a processing speed of 1700 events per second on an Intel based computer with 80 cores. the investigation was done based on simulated minimum bias Au-Au UrQMD collisions at 25 AGeV with a realistic detector response.

关键词： Data processing elementary particles high performance computing pattern recognition

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