Statistical Methods For Agricultural Workers

Cuckoo search (CS) was introduced by Xin-She Yang and Suash Deb in 2009, and it has attracted great attention due to its promising efficiency in solving many optimization problems and real-world applications. In the last few years, many papers have been published regarding cuckoo search, and the relevant literature has expanded significantly. This chapter summarizes briefly the majority of the literature about cuckoo search in peer-reviewed journals and conferences found so far. These references can be systematically classified into appropriate categories, which can be used as a basis for further research.

Cuckoo Search: A Brief Literature Review

Provided is a video coding method and a video decoding method increasing the resolution and quality of images while suppressing an amount of data required for increasing the resolution. A video coding apparatus includes a first orthogonal transformation unit performing discrete cosine transform on an input picture signal, a low-pass filter performing low-pass filtering on the input picture signal, a downsampling unit downsampling the resolution of a low-frequency image signal, a coding unit compressing and coding a reduced image signal, a local decoding unit decoding a coded bit stream, a second orthogonal transformation unit performing discrete cosine transform on a decoded image signal, and a modification information generation unit generating, based on input image DCT coefficients and decoded image DCT coefficients, coefficient modification information used for modifying orthogonal transformation coefficients obtained by performing orthogonal transformation on a decoded video signal obtained from a coded bit stream.

Video encoding method and video decoding method

Cuckoo Search (CS) algorithm is nature inspired global optimization algorithm based on the brood parasitic behavior of cuckoos. It has proved to be an efficient algorithm as it has been successfully applied to solve a large number of problems of different areas. CS employs Levy flights to generate step size and to search the solution space effectively. The local search is carried out using switch probability in which certain percentages of solutions are removed. Though CS is an effective algorithm, still its performance can be improved by incorporating the exploration and exploitation during the search process. In this work, three modified versions of CS are proposed to improve the properties of exploration and exploitation. All these versions employ Cauchy operator to generate the step size instead of Levy flights to efficiently explore the search space. Moreover, two new concepts, division of population and division of generations, are also introduced in CS so as to balance the exploration and exploitation. The proposed versions of CS are tested on 24 standard benchmark problems with different dimension sizes and varying population sizes and the effect of probability switch has been studied. Apart from this, the best of the proposed versions is also tested on CEC 2015 benchmark suite. The modified algorithms have been statistically tested in comparison to the state-of-the-art algorithms, namely grey wolf optimization (GWO), differential evolution (DE), firefly algorithm (FA), flower pollination algorithm (FPA) and bat algorithm (BA). The numerical and statistical results prove the superiority of the proposed versions with respect to other popular algorithms available in the literature.

New cuckoo search algorithms with enhanced exploration and exploitation properties

In digital video image encoding and decoding, a filter type is selected based on symmetrical properties of the images and coefficient values of an interpolation filter are calculated based on the selected filter type. Coefficient values, filter tap-length and selected filter-type are provided in the encoded video data. Coefficient values are also calculated based on a prediction signal representative of the different between a video frame and a reference image. The prediction signal is calculated from the reference image based on a predefined base filter and motion estimation performed on the video frame. The predefined base filter has fixed coefficient values. Coefficient values are selected from interpolation of pixel values in a selected image segment in the video frame. Symmetry properties of images can be a vertical symmetry, a horizontal symmetry and a combination thereof, so that only a portion of the filter coefficients are coded.

Adaptive interpolation filters for video coding

A novel uniplanar electromagnetic band-gap structure to maintain power integrity by suppressing simultaneous switching noise is presented. The proposed EBG structure is having stop-band from 600 MHz to 5.3 GHz and can be used as power plane in high speed systems for minimizing the power noise. Suppression of resonant cavity modes of power plane by EBG structure is shown. Simulation results are verified by measurements and compared with the earlier published structures.

Rakesh Malik

Papers

A novel EBG power plane structure for suppressing SSN in high speed systems