the CMS experiment along with other major LHC experiments produces enormous amounts of data that need to be managed at the level of storage systems and distributed computing resources. Physics Experiment Data Export (...
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the main purpose of this study is to understand the role of EDI in international trade and its integration withthe Internet. It will also study security issues related to these two technologies and their impact on ec...
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In this paper, we propose a semi-supervised learning (SSL) algorithm based on local and global regularization. In the local regularization part, our algorithm constructs a regularized classifier for each data point us...
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the volume and diversity of documents available in today's world is increasing daily. It is therefore difficult for a single classifier to efficiently handle multi-level categorization of such a varied document sp...
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In this paper we consider how basic image feature extraction can be posed in terms of the developed of a class of Machine Learning algorithms which are capable of tracking and predicting how humans perform tasks such ...
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ISBN:
(纸本)0769507514
In this paper we consider how basic image feature extraction can be posed in terms of the developed of a class of Machine Learning algorithms which are capable of tracking and predicting how humans perform tasks such as contour extraction and shape boundary tracking. In particular we consider how both Recursive Modular Neural Networks(RMNN) and Hidden Markov Models(HMM) can provide reasonably robust models for such tasks. Finally, we investigate how well they can predict human performance and so provide a reasonable basis for the development of more efficient and reliable human-machine annotation systems. Examples in sketching and cartography are discussed.
Cyber-Physical systems (CPS) integrate computing, networking, and physical processes to digitally execute tasks on or using the physical elements of a system. Power microgrids are a particular kind of CPS that enables...
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Cyber-Physical systems (CPS) integrate computing, networking, and physical processes to digitally execute tasks on or using the physical elements of a system. Power microgrids are a particular kind of CPS that enables management and autonomic control of local smart grids, aiming at reliability, fault tolerance and energy efficiency, among other goals. this paper explores a new approach based on MDE that uses models at runtime techniques to manage and control microgrids. the approach employs a model execution engine that manages a causally connected runtime model of the microgrid and interprets user-defined models in order to generate controls for the microgrid elements. We demonstrate the approach by building the lower layer of the model execution engine. Furthermore, we explore a model-driven technique to build the execution engine and use the resulting experience to argue that the approach can be extended to other kinds of cyber-physical systems.
In wireless communications, collision is one of the principal sources of energy wastage, which often makes collision avoidance strategies preferred for medium access control (MAC) protocols. In this paper, we propose ...
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Resonant operation, exploiting high quality-factor planar inductors, has recently enabled giga-Hertz applications in large-Area electronics, opening up a new technology platform for large-scale and flexible wireless s...
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the manual configuration of today's autonomous systems for new tasks is becoming increasingly difficult due to their complexity. One solution to this problem is to use planning algorithmsthat can automatically sy...
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ISBN:
(纸本)9789897584428
the manual configuration of today's autonomous systems for new tasks is becoming increasingly difficult due to their complexity. One solution to this problem is to use planning algorithmsthat can automatically synthesize suitable data processing pipelines for the task at hand and thus simplify the configuration. Planners usually rely on models, which are created manually based on already existing methods. these methods are often provided as part of domain specific code libraries. therefore, using existing planners on new domains requires the manual creation of models based on the methods provided by other libraries. To facilitate this, we propose a system that generates an abstract semantic model from C++ libraries automatically. the necessary information is extracted from the library using a combination of static source code analysis to analyze its header files and natural language processing (NLP) to analyze its official documentation. We evaluate our approach on the perception domain with two popular libraries: HALCON and OpenCV. We also outline how the extracted models can be used to configure data processing pipelines for the perception domain automatically by using an existing planner.
Without a proper waste management, leachate may contaminate the environmental;landfill gas can be toxic and lead to global warming and explosion and landfill wastewater can pollute the land and surrounding waters. the...
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