Road extraction in rural areas is one of the most fundamental tasks practical application remote sensing. In recent years, sample-driven methods have achieved state-of-the-art performance road tasks. However, are prohibitively expensive and laborious, especially when dealing with roads irregular curvature changes, narrow widths, diverse materials. The template matching method can overcome these...

Up to now most of the existing water supply network analyses have been based on demand-driven simulation models. These models assume that nodal outflows are fixed and are always available. However, this method of simulation neglects the pressure-dependent nature of demand that is characterized by changes in actual nodal outflows particularly during critical events like major mechanical or hydra...

By data driven we mean a method, where the data definitions and the data structures build a stable foundation for both databases and programs. The method builds on the philosophy that the basic data structure in a company is stable while the information requirements and the organisation will frequently undergo changes. It is therefore important that databases and EDP-systems can comply with cha...

Accurate detection of weak periodic signals within noise and possibility of secure messaging have made Duffing oscillator (DO) highly important in the field of communication. Investigation on the properties of DO is thus ardently sought for. An elegant approach to accomplish the same is to fabricate electronic circuit simulating DO non-linear equation and to study the effect of input signal amp...

Event-B is a formal method used to do Model Driven Engineering certified by theorem proving. We propose a pattern to handle duration over a predicate in this method which originally does not have particular tool to specify and reason about real-time properties.

One of the intended consequences of utilizing simulations in dynamic, data-driven application systems is that the simulations will adjust to new data as it arrives. These adjustments will be difficult because of the unpredictable nature of the world and because simulations are so carefully tuned to model specific operating conditions. Accommodating new data may require adapting or replacing num...