Waste cooking oil (WCO) is being generated large scale all over the world; hence it has devised serious problems of its waste management. Organised collection of WCO <span style="font-size: 9pt; color: #...

In this paper, the experimental data of the onion drying process by a batch cabinet dryer is investigated. Obtained experimental...

Foveated, log-polar, or space-variant image architectures provide a high resolution and wide eld workspace, while providing a small pixel computation load. These characteristics are ideal for mobile robotic and active vision applications. A common problem in these application areas is image blur and motion artifact. Recently, there has been described a generalization of the Fourier Transform (t...

Abstract: The analysis is meant for behavioral models of workflow-type software systems such as data centers or automation systems. We model these systems as a UML activity diagram with performance annotations to compute a performance prediction. A product-based (PB) analysis is not always viable, since we can have several variants, and each variant has its own performance model, which is why w...

Activated carbons are extremely versatile adsorbents for major industrial significance, especially for metal ions recovery from wastewaters. In this study, the activated carbon <span style="font-size: ...

Electric grids are moving from a centralized single supply chain towards a decentralized bidirectional grid of suppliers and consumers in an uncertain and dynamic scenario. Soon, the growing smart meter infrastructure will allow the collection of terabytes of detailed data about the grid condition, e.g., the state of renewable electric energy producers or the power consumption of millions of pr...

Pulse Width Modulation (PWM) techniques are commonly used to control the output voltage and current of DC to AC converters. Space Vector Modulation (SVM), of all PWM methods, has attracted attention because of its simplicity and desired properties in digital control of Three-Phase inverters. The main drawback of this PWM technique is its complex and time-consuming computations in real-time im...

Hyperspectral sensors provide a large number of spectral bands. This massive and complex data structure of hyperspectral images presents a challenge to traditional data processing techniques. Therefore, reducing the dimensionality of hyperspectral images without losing important information is a very important issue for the remote sensing community. We propose to use overlap-based feature weigh...

The computational complexity of evaluating the kernel density estimate (or its derivatives) at m evaluation points given n sample points scales quadratically as O(nm)–making it prohibitively expensive for large data sets. While approximate methods like binning could speed up the computation they lack a precise control over the accuracy of the approximation. There is no straightforward way of ch...