Modern applications require powerful highperformance platforms to deal with many different algorithms that make use of massive calculations. At the same time, low-cost and high-performance specific hardware (e.g., GPU...
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The Service-Oriented Architecture (SOA) paradigm was introduced for exposing business processes as services and enabling their interaction and composition over the Internet. The same computing model can potentially be...
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ISBN:
(纸本)9781605581354
The Service-Oriented Architecture (SOA) paradigm was introduced for exposing business processes as services and enabling their interaction and composition over the Internet. The same computing model can potentially be extended to services of personal devices. As personal devices become network-aware their services can be made available (by their owners) to members of trusted peer groups, thus allowing them to compose new distributed collaborative applications. However, dealing with firewall traversals, NATs, mobility and issues of service-level naming and addressing stand in the way of this vision. In this paper we introduce a P2P SOA middleware architecture that addresses such problems of pervasive connectivity without requiring any intermediaries or changes to the service implementations. We present the basic elements of the architecture and the design of a specific instance of it, which enables the P2P service discovery and execution of composite personal services in distributed OSGi containers over JXTA. Copyright 2008 ACM.
Temperature is very important parameter of the human body. By measuring the body temperature early diagnoses of the simple diseases such as fever are possible. In patient suffering from a fever the body temperature ha...
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This paper presents a control architecture for semi-autonomous tele-operated robots. The architecture is based on two parallel behavior modules: automatic mechanical image stabilization control and remote head posing ...
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ISBN:
(纸本)9781615677146
This paper presents a control architecture for semi-autonomous tele-operated robots. The architecture is based on two parallel behavior modules: automatic mechanical image stabilization control and remote head posing control. All processes are performed in Linux-based Real-time Operating Systems using open source libraries under GPL license. Detailed behavior is executed through priorities to prevent the computation waste and simultaneous and non-synchronized accesses to servo motors. Experimental results showed that our system is capable of satisfying the hard-real time requirements for the servo control, with great precision. The system has an open modular and scalable architecture with high performance and low cost.
This paper describes ongoing work on creating a benchmarking and validation dataset for biological image segmentation. While the primary target is biological images, we believe that the dataset would be of help to res...
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This paper describes ongoing work on creating a benchmarking and validation dataset for biological image segmentation. While the primary target is biological images, we believe that the dataset would be of help to researchers working in image segmentation and tracking in general. The motivation for creating this resource comes from the observation that while there are a large number of effective segmentation methods available in the research literature, it is difficult for the application scientists to make an informed choice as to what methods would work for her particular problem. No one single tool exists that is effective on a diverse set of application contexts and different methods have their own strengths and limitations. We describe below three different classes of data, ranging in scale from subcellular to cellular to tissue level images, each of which pose their own set of challenges to image analysis. Of particular value to the image processing researchers is that the data comes with associated ground truth information that can be used to evaluate the effectiveness of different methods. The analysis and evaluation are also integrated into a database framework that is available online at http://***.
This paper presents a new method for MPPT in photovoltaic systems based on "Hill Climbing" algorithm. According to the proposed method cube of slope of power vs. voltage (P-V) curve is calculated in each cal...
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This paper presents a new method for MPPT in photovoltaic systems based on "Hill Climbing" algorithm. According to the proposed method cube of slope of power vs. voltage (P-V) curve is calculated in each calculation step. Through this calculation both the direction of photovoltaic's (PV) voltage change and the step size of this change are resulted without making any slope or sign control. Moreover, a way to apply this method in PV systems which are consisted of Ns in series and Np in parallel connection PV arrays with high installed nominal power is proposed. A DC to DC buck-boost converter is used in connection with PV arrays for achieving operation in maximum power point and keeping output voltage constant. The whole system is simulated using Matlab/Simulink and simulation results are presented and analyzed.
In many neurophysiological studies, understanding the neuronal circuitry of the brain requires detailed 3D models of the nerve cells and their synapses. Typically, researchers build the 3D models by manually tracing t...
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In many neurophysiological studies, understanding the neuronal circuitry of the brain requires detailed 3D models of the nerve cells and their synapses. Typically, researchers build the 3D models by manually tracing the 2D cross-sectional profiles of the 3D structures from serial electron micrograph (EM) stacks and then construct the models from these 2D contours. While current computer-aided techniques can reduce the tracing time, they often require extensive user interaction. We propose a segmentation framework to extract the 2D profiles that is both fast and requires a minimal amount of user interaction. The framework uses graph cuts to minimize an energy defined over the image intensity and the flux of the intensity gradient field. Furthermore, to correct segmentation errors, our framework allows for efficient and intuitive editing of the initial results.
This paper reports on the challenges computer forensic investigators face in relation to collaborative decision making, communication and *** opportunities, operational environment and modus operandi of a cyber crimin...
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This paper reports on the challenges computer forensic investigators face in relation to collaborative decision making, communication and *** opportunities, operational environment and modus operandi of a cyber criminal are considered and used to develop the requirements in terms of both skill sets and procedural support a forensics investigator should have in order to respond to the respective threat vectors. As such, we show how a published framework for systemic thinking can be fit for purpose for supporting the collaborative enquiry and decision-making process.
Applications in pervasive computing environment exploit information about the context of use, such as the location, tasks and preferences of the user, in order to adapt their behavior in response to changing operating...
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Applications in pervasive computing environment exploit information about the context of use, such as the location, tasks and preferences of the user, in order to adapt their behavior in response to changing operating environments and user requirements. Utilizing context with aid of ontology in data and model, decision support systems can provide better and more desirable support to their users. The effects and advantages of exploiting ontology in user modeling and DSS is discussed. We propose a framework of a ontology-based decision support system (O 2 DSS), including ontology in model base, database and their advantages.
Wireless biomedical applications require low power operations for long, uninterrupted durations of use. In order to harness the low power characteristics of Ultra Wideband (UWB) systems, issues involving the synchroni...
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Wireless biomedical applications require low power operations for long, uninterrupted durations of use. In order to harness the low power characteristics of Ultra Wideband (UWB) systems, issues involving the synchronization of extremely short pulses have to be resolved as they surface as major bottlenecks of the design of such systems. The situation is particularly adverse in short range communication systems operating in dense indoor environments as employed in the biomedical field. In this paper, we present a simple power saving synchronization scheme extended upon a previously implemented spatial rake receiver structure. This scheme, which uses neither high speed ADCs nor conventional analog correlators, allows for significant reduction in receiver power consumption while achieving quick acquisition in the preamble stage under moderate signal to noise ratio (SNR) conditions, by exploiting favorable cross correlation properties of known Barker sequences. This is illustrated by appropriately adjusting the threshold value of the discrete correlation between received data and chosen sequences.
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