Multidisciplinary in Cryptology

Author(s):  
Sattar B. Sadkhan Al Maliky ◽  
Nidaa A. Abbas

To reach the high depths of knowledge and expertise that are required nowadays, scientists focus their attention on minute areas of study. However, the most complex problems faced by scientists still need the application of different disciplines to tackle them, which creates a necessity for multi-disciplinary collaboration. Cryptology is naturally a multidisciplinary field, drawing techniques from a wide range of disciplines and connections to many different subject areas. In recent years, the connection between algebra and cryptography has tightened, and established computational problems and techniques have been supplemented by interesting new approaches and ideas. Cryptographic engineering is a complicated, multidisciplinary field. It encompasses mathematics (algebra, finite groups, rings, and fields), probability and statistics, computer engineering (hardware design, ASIC, embedded systems, FPGAs), and computer science (algorithms, complexity theory, software design), control engineering, digital signal processing, physics, chemistry, and others. This chapter provides an introduction to the disciplinary, multidisciplinary, and their general structure (interdisciplinary, trans-disciplinary, and cross-disciplinary). And it also gives an introduction to the applications of the multidisciplinary approaches to some of the cryptology fields. In addition, the chapter provides some facts about the importance of the suitability and of the multidisciplinary approaches in different scientific, academic, and technical applications.

2011 ◽  
Vol 219-220 ◽  
pp. 1518-1522
Author(s):  
Kurban Ubul ◽  
Guljamal Ubul ◽  
Alim Aysa

Digital Signal Processing (DSP) is an important and growing subject area in Electrical/Computer Engineering (ECE), Computer Science and other Engineering/Science disciplines. Since 1997, the authors have taught an undergraduate DSP courses at Xinjiang University (XJU). While the subject of DSP has become very popular with ECE students and with the growing DSP job market, the subject matter is still considered to be a difficult and complex one for students. This paper presents an approach to teaching DSP basic concepts using a platform which developed by the tool, Macromedia Flash. The authors of XJU had enhanced the learning experience for their students by adding the platform to their class offering to reduce the difficulty of understanding the theoretical DSP.


Sensors ◽  
2019 ◽  
Vol 19 (18) ◽  
pp. 3932 ◽  
Author(s):  
Felipe A. Alexandre ◽  
Paulo R. Aguiar ◽  
Reinaldo Götz ◽  
Martin Antonio Aulestia Viera ◽  
Thiago Glissoi Lopes ◽  
...  

The interest of the scientific community for ultrasound techniques has increased in recent years due to its wide range of applications. A continuous effort of researchers and industries has been made in order to improve and increase the applicability of non-destructive evaluations (NDE). In this context, the monitoring of manufacturing processes, such as the grinding process, arises. This work proposes a novel technique of ultrasound monitoring (chirp-through-transmission) through low-cost piezoelectric diaphragms and digital signal processing. The proposed technique was applied to the monitoring of material removal during the grinding process. The technique is based on changes in ultrasonic waves when propagated through the material under study, with the difference that this technique does not use traditional parameters of ultrasonic techniques but digital signal processing (RMS and Counts). Furthermore, the novelty of the proposed technique is also the use of low-cost piezoelectric diaphragms in the emission and reception of ultrasonic waves, enabling the implementation of a low-cost monitoring system. The results show that the monitoring technique proposed in this work, when used in conjunction with the frequency band selection, is sensitive to the material removal in the grinding process and therefore presents an advance for monitoring the grinding processes.


2018 ◽  
Vol 25 (6) ◽  
pp. 1780-1789 ◽  
Author(s):  
Andrew M. Crawford ◽  
Nicole J. Sylvain ◽  
Huishu Hou ◽  
Mark J. Hackett ◽  
M. Jake Pushie ◽  
...  

Synchrotron X-ray fluorescence imaging enables visualization and quantification of microscopic distributions of elements. This versatile technique has matured to the point where it is used in a wide range of research fields. The method can be used to quantitate the levels of different elements in the image on a pixel-by-pixel basis. Two approaches to X-ray fluorescence image analysis are commonly used, namely, (i) integrative analysis, or window binning, which simply sums the numbers of all photons detected within a specific energy region of interest; and (ii) parametric analysis, or fitting, in which emission spectra are represented by the sum of parameters representing a series of peaks and other contributing factors. This paper presents a quantitative comparison between these two methods of image analysis using X-ray fluorescence imaging of mouse brain-tissue sections; it is shown that substantial errors can result when data from overlapping emission lines are binned rather than fitted. These differences are explored using two different digital signal processing data-acquisition systems with different count-rate and emission-line resolution characteristics. Irrespective of the digital signal processing electronics, there are substantial differences in quantitation between the two approaches. Binning analyses are thus shown to contain significant errors that not only distort the data but in some cases result in complete reversal of trends between different tissue regions.


Sign in / Sign up

Export Citation Format

Share Document