• 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...

Advection schemes with time step restrictions are widely used in weather and climate models. This can lead to instability the presence of high flow speeds (relative mesh spacing) such as occurs convective updraughts, regions convergence, or where winds unusually high. An adaptively implicit advection scheme is proposed that treats implicitly only Courant number Flux correction ensure monotonici...

Level set functions are widely used for expressing implicit surfaces. In some cases, people are more interested in solution near the surface while global information is also required. The aim of this work is the development of an automatic, adaptive mesh refinement strategy for level set functions. Level set function is defined in adaptive space mesh grid with finer grids close to the surface. ...

We construct the first mix-net that is secure against adaptive adversaries corrupting any minority of the mix-servers and any set of senders. The mix-net is based on the Paillier cryptosystem and analyzed in the universal composability model without erasures under the decisional composite residuosity assumption, the strong RSA-assumption, and the discrete logarithm assumption. We assume the exi...

As the continuous development on the capacity and work frequency, Programmable Logic Devices (PLD) especially Field-Programmable Gate Arrays (FPGA) are playing an increasingly important role in embedded systems designs. The FPGA market has hit about 3 and 4 billion US dollars respectively in 2009 and 2010, and is expected by Xilinx CEO Moshe Gavrielov to grow steadily to 4.5 billion by the end ...

Sharing real-time aggregate statistics of private data has given much benefit to the public to perform data mining for understanding important phenomena, such as Influenza outbreaks and traffic congestions. We propose an adaptive approach with sampling and estimation to release aggregated time series under differential privacy, the key innovation of which is that we utilize feedback loops based...

The minimum averaged mean squared error nonparametric adaptive weights use data from m possibly different populations to infer about one population of interest. The definition of these weights is based on the properties of the empirical distribution function. We use the Kaplan-Meier estimate to let the weights accommodate right-censored data and use them to define the weighted Kaplan-Meier esti...

Threshold cryptography aims at enhancing the availability and security of decryption and signature schemes by splitting private keys into several (say n) shares (typically, each of size comparable to the original secret key). In these schemes, a quorum of at least (t ≤ n) servers needs to act upon a message to produce the result (decrypted value or signature), while corrupting less than t serve...