Exponential to ZIP and ZIP to exponential load model conversion: Methods and error

An active islanding detection scheme for inverter-based DG with frequency dependent ZIP¬タモExponential static load model

In this paper an analytical design method is proposed for constant voltage controlled inverter based DG with frequency dependent ZIP–Exponential static load model to obtain proper inverter output control and successful islanding detection. The proposed technique is aimed to eliminate the dependency of DG operation point on anti-islanding performance which is unavoidable in case of traditional c...

To Zip or not to Zip: effective resource usage for real-time compression

Real-time compression for primary storage is quickly becoming widespread as data continues to grow exponentially, but adding compression on the data path consumes scarce CPU and memory resources on the storage system. Our work aims to mitigate this cost by introducing methods to quickly and accurately identify the data that will yield significant space savings when compressed. The first level o...

A Comparison Between Time Series, Exponential Smoothing, and Neural Network Methods To Forecast GDP of Iran

Zip it up to shut it down

DNA double-strand breaks (DSBs) can be lethal to a cell. However, most sexually reproducing organisms deliberately induce a substantial amount of developmentally programmed DSBs that are subsequently repaired via homologous recombination in meiosis. The goal of this self-damage and self-repair process is to establish physical connections between homologous chromosomes, thereby ensuring accurate...

ZIP and data document visualization

Text data modeling has been usually considered with Bernoulli or multinomial event models. Poisson distribution is considered inefficient for text information retrieval. In this work, we propose to incorporate the Zero Inflated Poisson model in the Generative Topographic Mapping algorithm. The modified algorithm is presented as a text document cluster extraction and visualization tool. Experime...