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We present a classification of border-collision bifurcations in one-dimensional discontinuous maps depending on the parameters of the piecewise linear approximation in the neighborhood of the point of discontinuity. For each range of parameter values we derive the condition of existence and stability of various periodic orbits and of chaos. This knowledge(More)
This paper presents a formulation of a comprehensive optimization problem for the operation of the customer-driven microgrid - an evolution of today's distribution feeders into feeders with significant distributed generation, demand response capability and communication infrastructure. Multiple test-cases are presented to assess the proposed formulation.(More)
We propose a new algorithm for topic modeling, Vec2Topic, that identifies the main topics in a corpus using semantic information captured via high-dimensional distributed word embeddings. Our technique is unsupervised and generates a list of topics ranked with respect to importance. We find that it works better than existing topic modeling techniques such(More)
Fuzzy approach to control congestion in ATM networks is inevitable in research areas. . A control scheme that dynamically regulates traffic flow according to changing network conditions however requires the understanding of network dynamics. To minimize congestion, for a gradual change we proposed fuzzy approach. In our scheme, burst length as well as(More)
Tracking the progression of brain tumors is a challenging task, due to the slow growth rate and the combination of different tumor components, such as cysts, enhancing patterns, edema and necrosis. In this paper, we propose a Deep Neural Network based architecture that does automatic segmentation of brain tumor, and focuses on improving accuracy at the(More)
Existing Natural Language Generation (nlg) systems are weak AI systems and exhibit limited capabilities when language generation tasks demand higher levels of creativity, originality and brevity. E‚ective solutions or, at least evaluations of modern nlg paradigms for such creative tasks have been elusive, unfortunately. Œis paper introduces and addresses(More)
The ability to create and interact with large-scale domainspecific knowledge bases from unstructured/semi-structured data is the foundation for many industry-focused cognitive systems. We will demonstrate the Content Services system that provides cloud services for creating and querying highquality domain-specific knowledge bases by analyzing and(More)
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