Címe: Büntethető gyermekkorúak
Megjelenés dátuma: 2014:10:01
Absztrakt: In Hungary from the 1990s in line with the international tendencies a number of studies were published in the literature urging the reform of the criminal law dealing with juvenile crime. Simultaneously one can establish that among others due to the increasing criminal rate the reasoning for the reduction of the lower age limit of punishability to the age of 12 has started. During the codification process a number of arguments were given for and against the alteration of the age limit of punishability. However setting the lower age limit of punishability below fourteen can be found in the criminal law regulations of Hungary and also of other European countries. This paper examines the antecedents, reasons and possible amendments of the regulation of the new Criminal Code on the age of punishability.
Megjelenés dátuma: 2010:02:03
Absztrakt: Academian Sándor Szalay, former head of the Department of Experimental Physics at the University of Debrecen as well as the founding director of the Institute of Nuclear Physics of the Hungarian Academy of Sciences (ATOMKI) was born in 1909. He was a trail-blazing physicist, a dedicated teacher, and his achievements in fundamental and applied science are both substantial and diverse. One of his remarkable legacies was the inititation of nuclear physics research in Hungary. On 24 September, 2009, ATOMKI hosted a symposium to mark the centenary of its founder.
Megjelenés dátuma: 2014:03:11
Megjelenés dátuma: 2015:04:13
Absztrakt: To perform second generation wavelet transformation in digital signal processing is a common operation. Most obvious way to carry out this task is by program cycle management. Computational software usually executes direct matrix algebraic operations much faster, compared to cycles. Avoiding organizing cycles, can increase the processing speed by magnitudes. This paper introduces transformation matrixes to execute the key steps of wavelet transformation: filtering and downsampling. By the employment of the described transformational matrixes, wavelet transformation and filtering of two dimensional images or discrete datasets could be easier and faster.