A low bit rate video coding technique that uses spatio-temporal geometric transforms is presented. Motion compensation based on the bilinear transform is employed to reduce the temporal redundancy of the video. The spatial redundancy of the motion compensated error images is reduced by a combination of Fractal and DCT. It is shown that in the objects boundaries of the motion compensated error i...

We present a sequence of two-period models of incentive-based compensation in order to understand how the properties of optimal compensation structures vary with changes in the model environment. Each model corresponds to a different occupation within a bank, such as credit line managers, loan originators, or traders. All models share a common trait: the effects of hidden actions are persistent...

Amazon's Mechanical Turk (MTurk) is a relatively new website that contains the major elements required to conduct research: an integrated participant compensation system; a large participant pool; and a streamlined process of study design, participant recruitment, and data collection. In this article, we describe and evaluate the potential contributions of MTurk to psychology and other social s...

The WS-BPEL language has recently become a de facto standard for modeling Web-based business processes. One of its essential features is the fully programmable compensation mechanism. To understand it better, many recent works have mainly focused on formal semantic models for WS-BPEL. In this paper, we make one step forward by investigating the verification problem for business processes writte...

In this paper several tuning strategies for integrated active filters are discussed. Furthermore we compare two compensation schemes to decrease the temperature dependence of the transconductance value of a differential gain stage. The compensation circuitry consists of on-chip temperature sensors and a level adjustment circuit all realized by standard CMOS transistor techniques. The temperatur...

In this study, an image backlight compensation method using adaptive luminance modification is proposed for efficiently obtaining clear images.The proposed method combines the fuzzy C-means clustering method, a recurrent functional neural fuzzy network (RFNFN), and a modified differential evolution.The proposed RFNFN is based on the two backlight factors that can accurately detect the compensat...

In the H.263 Version 2 (H.263+) coding standard, the global motion compensation can be introduced by using Reference Picture Resampling (Annex. P) syntax. Such an application requires that the global motion parameters be estimated automatically. In this paper, we propose a global motion estimation algorithm based on the Taylor Expansion Equation and robust regression technique using probabilist...

ELECT A new self-compensation technique is proposed for eliminating subharmonic oscillation and chaotic regimes in dc–dc switching converters under peak current mode control. The proposed method extracts a control signal from the error between the inductor current and a suitable reference and does not require an external signal generator as in the conventional ramp compensation scheme. The anal...

A low bit rate video coding technique that uses spatio-temporal geometric transforms is presented. Motion compensation based on the bilinear transform is employed to reduce the temporal redundancy of the video. The spatial redundancy of the motion compensated error images is reduced by a combination of Fractal and DCT. It is shown that in the objects boundaries of the motion compensated error i...

In this paper, we evaluate the performance of several robust speech recognition algorithms in a noisy automobile environment as characterized by the Finnish SpeechDat–Car ASR task [1]. By applying acoustic feature compensation, model compensation, and speech detection algorithms to this task, a 51% reduction in word error rate (WER) was obtained relative to the ETSI standard ASR front–end. In a...