We describe a weighted version of the k-Chinese or k-rural postman problem that occurs in the context of snow removal. The problem concerns the questions of which vehicle shall do each task and how the vehicles shall travel between tasks. We also consider different numbers of vehicles, in view of a fixed cost for each vehicle. We describe and discuss heuristic solution approaches, based on usab...

Evaluation is a basic requirement to protect telecom data networks. How to carry out a usable evaluation is a main problem to solve in this paper. The index system is the basis of the analysis. The general framework is combined with the structure of China telecom data network to get the index system. The evaluation method is established based on the score of index system. The score is obtained ...

• A new trigger is developed to control when the weight should be updated. adaptive weighting method proposed. decomposition algorithm with weights updated adaptively The proposed applied solve various multiobjective optimization problems . Recently, decomposition-based evolutionary algorithms (DMEAs) have become more prevalent than other patterns (e.g., Pareto-based and indicator-based algorit...

We apply phase-weighted stacking (PWS) to the analysis of lowfrequency earthquakes (LFEs) in the Parkfield, California, region and central Cascadia. The technique uses the coherence of the instantaneous phase among the stacked signals to enhance the signal-to-noise ratio (SNR) of the stack. We find that for picking LFE arrivals for the Parkfield, California, region and for LFE template formatio...

In most of the cases usability evaluations are done by usability experts. Employing such experts requires a certain size in business. Nevertheless users do not tolerate hard to use tools. So in a lot of small and middle sized companies developers are forced to learn handling usability aspects. This is not much easier than teaching usability engineers how to develop software. The usability evalu...

Prediction of future time series values is area of statistics and computer science research related to pattern recognition. Especially possibility of prediction of the future computer network traffic may be usable in detection of abnormal situations like DoS attacks or occurrence of problems with network infrastructure. The article is devoted to usage artificial neural networks, with radial bas...

Navigation has been a popular area of research in both academia and industry. Combined with maps, and different localization technologies, navigation systems have become robust and more usable. By combining navigation with augmented reality, it can be improved further to become realistic and user friendly. This paper surveys existing researches carried out in this area, describes existing techn...