Cloud computing has turned up as an emerging platform for individual or personal computing. In order to improve overall performance of cloud data placement is an important task. Data placement is a prime issue which a...
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ISBN:
(纸本)9781538627457
Cloud computing has turned up as an emerging platform for individual or personal computing. In order to improve overall performance of cloud data placement is an important task. Data placement is a prime issue which aims at minimizing the cost of inter node transfers of data in the cloud, the performance of the entire cloud system get improved by eradicating this issue. Many authors have proposed different techniques for optimizing the data placement strategy in scientific workflow. The strategy used for one application may not used for another application. The appropriate data placement strategy reduces the scheduling overhead, the cost of data processing, availability of data becomes high, bandwidth will be less consumed, scalability will be improved and fault tolerance will be increased. It is impossible to satisfy all the conditions to place the datasets at appropriate position where all tasks can access data with the minimum data transfer cost and fulfillment of SLA.
The Onboard GNSS/INS navigation system uses low-cost and low-precision micro-electromechanical strapdown inertial navigation module. In order to guarantee the integrated navigation system can still provide navigation ...
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ISBN:
(纸本)9781538670576
The Onboard GNSS/INS navigation system uses low-cost and low-precision micro-electromechanical strapdown inertial navigation module. In order to guarantee the integrated navigation system can still provide navigation results which meet the precision requirements under the onboard weak GNSS signal environment, an ultra-tight integrated navigation algorithm based on aided filtering of neural network is proposed. Based on this algorithm, a deeply integrated navigation system is designed, which is aided by radial basis function neural network. When the GNSS signal is in good condition, the radial basis function neural network is trained, and then, when the GNSS signal lose its lock, the neural network predict the measurement input of filter updating process according to the training result. In addition, the mathematical model and algorithm of radial basis function neural network and adaptive Kalman filter are established. The availability of the proposed algorithm is verified by real experiments. The experimental results show that, when the GNSS signal lose its lock, the position accuracy of the system can still meet the requirements, which can effectively reduce the error of the integrated navigation system when the GNSS signal is weak.
In this work we are evaluating the performance and design of a novel wearable haptic interface suitable for the appliance in large workspaces. We are investigating three main questions regarding the performance of the...
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ISBN:
(纸本)9781424466757
In this work we are evaluating the performance and design of a novel wearable haptic interface suitable for the appliance in large workspaces. We are investigating three main questions regarding the performance of the wearable haptic interface. The first question is whether stable and transparent presentation of contact with rigid surfaces on objects can be simulated with the wearable haptic interface. The second question is whether the performance of the haptic interface degrades when the user is able to walk around in the virtual environment while being tracked by a tracking system and using force feedback to navigate along rigid objects. The third question is whether the deflection of forces to the user's torso while operating the device disturbs the haptic interaction. In addition we are going to explain the mechanical construction of the wearable haptic interface and the dataflow of the virtual reality framework.
This paper presents a cognitive (belief-desireintention based) agent that can self-explain its behaviour based on its goals and emotions. We implement a cognitive agent, embodied by a nao-robot or virtual avatar there...
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ISBN:
(纸本)9781538606803
This paper presents a cognitive (belief-desireintention based) agent that can self-explain its behaviour based on its goals and emotions. We implement a cognitive agent, embodied by a nao-robot or virtual avatar thereof, to play a quiz with its user. During the interaction the agent intelligently selects questions to optimally educate the user. We show how the simulation of emotions can be used to generate end-user explanations of the agent's behaviour. With this we provide a first proof of concept showing the value of using simulated emotions in addition to goals for generating agent behaviour explanations.
Object-oriented simulation technique for flight safety analysis and simulation software is investigated in this paper. In the overall design and class kit design of the software, several subsystems, such as the percep...
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This paper studies the stability problem for linear time-delay systems with two additive tim-evarying delay components. Based on Lyapunov stability theory and reciprocally convex lemma, a new delay-dependent stability...
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ISBN:
(纸本)9781467318556;9781467318570
This paper studies the stability problem for linear time-delay systems with two additive tim-evarying delay components. Based on Lyapunov stability theory and reciprocally convex lemma, a new delay-dependent stability criterion is obtained by considering the relationship between the two time-varying delays and their upper bounds. By using delay-dividing method, a further improved stability criterion is obtained. The obtained criteria are also extended to cope with the stability problem for this type of interval time-varying delay systems. All the obtained criteria are in terms of Linear Matrix Inequalities (LMIs). Finally, a numerical example is given to show the effectiveness of the proposed method.
The problem of designing of a haptics-enabled teleoperated rehabilitation system in the presence of communication delays is addressed. In a teleoperated rehabilitation system, communication delays introduce phase shif...
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ISBN:
(纸本)9781467363587
The problem of designing of a haptics-enabled teleoperated rehabilitation system in the presence of communication delays is addressed. In a teleoperated rehabilitation system, communication delays introduce phase shift which may result in the task inversion phenomenon. To overcome the task inversion, a new type of projection-based force reflection algorithm is proposed which is suitable for assistive/resistive therapy in the presence of irregular communication delays. Additionally, algorithms for augmented therapy are introduced which combine the projection-based force reflection with a delay-free local virtual therapist. A small-gain design is developed which guarantees stability of the proposed schemes for both assistive and resistive modes of the therapy. Simulations and experimental results are presented which confirm the improvement achieved by the proposed methods.
Cloud computing, with its huge potential has started evolving as a new age technology. The varied applications of cloud that includes QoS, Charging based on usage, virtualization, offering self-services that are in de...
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ISBN:
(纸本)9781538681138
Cloud computing, with its huge potential has started evolving as a new age technology. The varied applications of cloud that includes QoS, Charging based on usage, virtualization, offering self-services that are in demand, elasticity etc. make it a viable option for businesses in today's IT industry. Allocating the optimal task over the available set of resources is termed to be task scheduling. The task scheduling must be done effectively for the sake of maximizing the usage of cloud computing. For this purpose various task scheduling strategies have been adopted. In this paper, a systematic survey on various task scheduling approaches in cloud computing has been carried out and the same has been presented herewith.
In this paper, we propose a design method for a biomolecular circuit that can dynamically change its function according to repetitive input stimuli. In DNA computing, which involves the construction of a DNA reaction ...
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ISBN:
(纸本)9788993215212
In this paper, we propose a design method for a biomolecular circuit that can dynamically change its function according to repetitive input stimuli. In DNA computing, which involves the construction of a DNA reaction system that executes desired information processing, the circuit function strongly depends on the network structure and reaction rate parameters of the chemical reaction system. In other words, it is necessary to design a DNA circuit specialized for a specific circuit function. We aimed to achieve "plasticity" of the DNA circuit by addressing the motivating example;for a two-input one-output DNA circuit, its function is initially YES logic but turns to OR logic as the repetitive input stimuli are given. Our proposed method was verified by numerical simulations based on reaction kinetics while utilizing dependable computer-aided software.
Learning a map of an unknown environment and localising a robot in it is a common problem in robotics, with solutions usually requiring an estimate of the robot's motion. In scenarios such as Urban Search and Resc...
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ISBN:
(纸本)9781467363587
Learning a map of an unknown environment and localising a robot in it is a common problem in robotics, with solutions usually requiring an estimate of the robot's motion. In scenarios such as Urban Search and Rescue, motion encoders can be highly inaccurate, and weight and battery requirements often limit computing power. We have developed a GPU based algorithm using Iterative Closest Point position tracking and Graph SLAM that can accurately generate a map of an unknown environment without the need for motion encoders and requiring minimal computational resources. The algorithm is able to correct for drift in the position tracking by rapidly identifying loops and optimising the map. We present a method for refining the existing map when revisiting areas to increase the accuracy of the existing map and bound the run-time to the size of the environment.
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