In real-world peer-to-peer applications, the scalability of data lookup is heavily affected by network artifacts. A common solution to improve scalability, robustness and security is to increase the local properties of nodes, by clustering them together. This paper presents a framework which allows for the development of distributed applications on top of interconnected overlay network. Here, m...

Grey balance adjusting is one of the key moments in digital image processing. In the work, an experimental attempt was made to adapt the ideas about the Maxwell color triangle (additive color synthesis) to the patterns of autotypic color synthesis. To adjust the grey balance, it is suggested not to use colorants of autotypic synthesis (CMYK), but their double overlays (RGB). As double overlays,...

An increasingly common approach to data analysis involves using information dashboards to visually compare changing data. However, layout constraints coupled with varying levels of visualization literacy among dashboard users make facilitating visual comparison in dashboards a challenging task. In this paper, we evaluate variants of bar charts, one of the most prevalent class of charts used in ...

Background: The bite injury or mark is examined as corroborative evidence in serious crimes such rape, murder, robbery, and other forms of physical sexual violence. goal this study was to comparatively evaluate the accuracy overlays made with a digital, two-dimensional method compared those by directly tracing marks using images obtained photocopier. Materials Methods: A total 61 participants w...

Enterprises always have to pursue for profitability while maintaining long term competitive advantages. Today, this task becomes more challenging due to globalization and dynamic changing business environment. For each enterprise, this task can not be fulfilled without changes to its business infrastructure and IT systems. That is, enterprises need to transform themselves to adapt to both exter...

My research proposes an approach to integrating planning and execution in time-sensitive environments, a setting I call continual on-line planning. New goals arrive stochastically during execution, the agent issues actions for execution one at a time, and the environment is otherwise deterministic. My dissertation will address this setting in three stages: optimizing total goal achievement time...

This paper develops variational continual learning (VCL), a simple but general framework for continual learning that fuses online variational inference (VI) and recent advances in Monte Carlo VI for neural networks. The framework can successfully train both deep discriminative models and deep generative models in complex continual learning settings where existing tasks evolve over time and enti...

Application-level multicast on structured overlays often suffer several drawbacks: 1) The regularity of the architecture makes it difficult to adapt to topology changes; 2) the uniformity of the protocol generally does not consider node heterogeneity. It would be ideal to combine the scalability of these overlays with the flexibility of an unstructured topology. In this paper, we propose a loca...

Automated problem solving is viewed typically as the expenditure of computation to solve one or more problems passed to a reasoning system. In response to each problem received, effort is applied to generate a solution and problem solving ends when the solution is rendered. We discuss the notion of continual computation that addresses a broader conception of problem by considering the ideal use...