Support vector machine (SVM) is a pattern classification model suitable for classification and annotation of images using non-vectorial type representations of images. Varying length patterns extracted from image data...
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Support vector machine (SVM) is a pattern classification model suitable for classification and annotation of images using non-vectorial type representations of images. Varying length patterns extracted from image data correspond to sets of local feature vectors. Kernels designed for varying length patterns are called as dynamic kernels. The talk presents the issues in designing the dynamic kernel based SVMS for classification and annotation of images. Different methods for designing the dynamic kernels are presented. An intermediate matching kernel (IMK) for a pair of varying length patterns is constructed by matching the pairs of local feature vectors selected using a set of virtual feature vectors. For patterns corresponding to sets of feature vectors, a Gaussian mixture model (GMM) is used as the set of virtual feature vectors. The GMM-based IMK is considered for image processing tasks such as image classification, matching and annotation in content-based image retrieval. The talk presents results of experimental studies on image classification, annotation and retrieval of images using the kernel methods.
We present a technique to profile the energy consumption of real Wireless Sensor Network (WSN) applications. The introduced method is highly integrated into the system and allows the developer of WSN algorithms to ana...
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ISBN:
(纸本)9781457720529
We present a technique to profile the energy consumption of real Wireless Sensor Network (WSN) applications. The introduced method is highly integrated into the system and allows the developer of WSN algorithms to analyze the power consumption almost without any additional effort. It can break the power consumption down to any desired level from function-based or thread-based analysis to the evaluation of functional blocks. The required measuring setup relies on a simple circuit using an instrumentation amplifier and a shunt. Energy profiling uses features of the GNU Compiler Collection and benefits from the multi-threading operating system μkleos written in pure C code. Compared to similar approaches in this field the energy profiler does not require any modifications to device drivers or application code. Due to this easily deployable method it is feasible to examine the demand for energy for every single node in the network.
In the domain of dynamically evolving distributedsystems composed of autonomous and (self-) adaptive components, the task of systematically managing the design complexity of their communication and composition is a p...
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In the domain of dynamically evolving distributedsystems composed of autonomous and (self-) adaptive components, the task of systematically managing the design complexity of their communication and composition is a pressing issue. This stems from the dynamic nature of such systems, where components and their bindings may appear and disappear without anticipation. To address this challenge, we propose employing separation of concerns via a mechanism of dynamic implicit bindings with implicit communication. This way, we strive for dynamically formed, implicitly interacting groups - ensembles - of autonomous components. In this context, we introduce the DEECo component model, where such bindings, as well as the associated communication, are managed in an automated way, enabling transparent handling of the dynamic changes in the system.
The advantage of textual use-cases is that they can be easily understood by stakeholders and domain experts. However, since use-cases typically rely on a natural language, they cannot be directly subject to a formal v...
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The advantage of textual use-cases is that they can be easily understood by stakeholders and domain experts. However, since use-cases typically rely on a natural language, they cannot be directly subject to a formal verification. In this paper, we present the FOAM method which features simple user-definable annotations, inserted into a use-case to make its semantics more suitable for verification. Subsequently a model-checking tool verifies temporal invariants associated with the annotations. This way, FOAM allows for harnessing the benefits of model-checking while still keeping the use-cases understandable for non-experts.
We developed UAVNet, a framework for the autonomous deployment of a flying Wireless Mesh Network using small quadrocopter-based Unmanned Aerial Vehicles (UAVs). The flying wireless mesh nodes are automatically interco...
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ISBN:
(纸本)9781467349420
We developed UAVNet, a framework for the autonomous deployment of a flying Wireless Mesh Network using small quadrocopter-based Unmanned Aerial Vehicles (UAVs). The flying wireless mesh nodes are automatically interconnected to each other and building an IEEE 802.11s wireless mesh network. The implemented UAVNet prototype is able to autonomously interconnect two end systems by setting up an airborne relay, consisting of one or several flying wireless mesh nodes. The developed software includes basic functionality to control the UAVs and to setup, deploy, manage, and monitor a Wireless mesh network. Our evaluations have shown that UAVNet can significantly improve network performance.
The 15th ACM SIGPLAN International Conference on Functional programming (ICFP) took place on September 27–29, 2010 in Baltimore, Maryland. After the conference, the programme committee, chaired by Stephanie Weirich, ...
The 15th ACM SIGPLAN International Conference on Functional programming (ICFP) took place on September 27–29, 2010 in Baltimore, Maryland. After the conference, the programme committee, chaired by Stephanie Weirich, selected several outstanding papers and invited their authors to submit to this special issue of Journal of Functional programming. Umut A. Acar and James Cheney acted as editors for these submissions. This issue includes the seven accepted papers, each of which provides substantial new material beyond the original conference version. The selected papers reflect a consensus by the program committee that ICFP 2010 had a number of strong papers that link core functional programming ideas with other areas, such as multicore, embedded systems, and data compression.
Next to traditional communication systems like servers or routers at the backbone and personal computers or laptops acting as clients, the Future Internet will additionally comprise many so-called smart objects. Most ...
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Service-oriented architectures (SOA) can be considered as an enabling methodology for Cloud Computing and the IT's industrialization, standardization and commodity approach. The efforts to effectively introduce SO...
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Interference is one of the major causes for performance degradation in wireless networks. Channel assignment algorithms have been proven successful to decrease the networkwide interference by using non-overlapping cha...
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ISBN:
(纸本)9781612081717
Interference is one of the major causes for performance degradation in wireless networks. Channel assignment algorithms have been proven successful to decrease the networkwide interference by using non-overlapping channels for otherwise interfering links. However, external co-located networks and devices are usually not considered in the channel assignment procedure, since they are not under the control of the network operator and their activity is therefore hard to capture. In our work we fill this gap by additionally considering the interference resulting from external devices. The novelty of this approach is that not only co-located IEEE 802.11 networks are captured, but also other sources of interference that utilize the same frequency band. We present the spectrum sensing component DES-Sense, a software solution for 802.11a/b/g that detects congested channels and does not require any changes to the *** present a first algorithm for external interference-aware channel assignment and show proof-of-concept results from the DES-Testbed, a wireless mesh network with 120 multi-radio nodes.
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