Impedance Cardiography (ICG) is a noninvasive technique for monitoring stroke volume, cardiac output and other hemodynamic parameters, which is based on sensing the change of thoracic electrical impedance caused by blood volume change in aorta during the cardiac cycle. Motion artifact and respiratory artifact can lead to baseline drift in ICG signal, particularly during or after exercise, which...

Time series forecasting is a problem with many applications. However, in many domains, such as stock market, the underlying generating process of the time series observations may change, making forecasting models obsolete. This problem is known as Concept Drift. Approaches for time series forecasting should be able to detect and react to concept drift in a timely manner, so that the forecasting...

The trend towards smaller transistor technologies and lower operating voltages stresses the hardware and makes transistors more susceptible to transient errors. In future systems, performance and power gains will come at the cost of unreliable areas on the chip. For this reason, there is an increased need for low-overhead highlyreliable error detection methodologies. In the last years, several ...

A novel type of guiding-center drift ion is described. These ions occur only in strong magnetic fields. They consist of a neutral atom to which either an electron or positron is weakly-bound, at sufficiently large radius that it may be described by E × B drift dynamics. Such ions may occur naturally in astrophysical plasmas and may have been formed in recent antihydrogen experiments, where thei...

Since the introduction of monolithic IC amplifiers there has been a continual improvement in DC accuracy. Bias currents have been decreased by 5 orders of magnitude over the past 5 years. Low offset voltage drift is also necessary in a high accuracy circuits. This is evidenced by the popularity of low drift amplifier types as well as the requests for selected low-drift op amps. However, until n...

We investigate uniqueness, in suitable weighted Lebesgue spaces, of solutions to a class linear, nonlocal parabolic problems with drift. More precisely, the problem is due presence fractional Laplacian as diffusion operator. The drift term driven by smooth enough, possibly unbounded vector field $ b which satisfies growth condition set \{x\in {\mathbb{R}}^N:\langle b(x), x\rangle> 0\} $. In ...

We present an adaptive algorithm for a system integrated with micro-electro-mechanical systems (MEMS) gyroscopes and a compass to eliminate the influence from the environment, compensate the temperature drift precisely, and improve the accuracy of the MEMS gyroscope. We use a simplified drift model and changing but appropriate model parameters to implement this algorithm. The model of MEMS gyro...

A drift compression and f i n d focus lattice for heavy ion beams should focus the entire bepulse onto the same r o d spot on the tnrget. We show thnt this requircmont implies thnt the drift cornprmion design necds to satisfy a self-similar symmetry condition. Far un-neutmdizcd hems, the Lie symmetry group annlysis i6 applied to the wnrm-fluid model to sy;tematicdly derive thc self-similar drif...

Ionospheric two-stream waves and gradient-drift waves nonlinearly drive a large-scale (D.C.) current in the E-region ionosphere. This current ows parallel to, and with a comparable magnitude to, the fundamental Pedersen current. The underlying mechanism is quite simple. E-region plasma waves generate oscillating electric elds causing electrons to ~ E ~ B drift perpendicular to the wave's propag...

Data stream mining has become a novel research topic of growing interest in knowledge discovery. Most proposed algorithms for data stream mining assume that each data block is basically a random sample from a stationary distribution, but many databases available violate this assumption. That is, the class of an instance may change over time, known as concept drift. In this paper, we propose a S...