Symmetry in Chaotic Systems and Circuits

Symmetry can play an important role in the field of nonlinear systems and especially in the design of nonlinear circuits that produce chaos. Therefore, this Special Issue, titled “Symmetry in Chaotic Systems and Circuits”, presents the latest scientific advances in nonlinear chaotic systems and circuits that introduce various kinds of symmetries. Applications of chaotic systems and circuits with symmetries, or with a deliberate lack of symmetry, are also presented in this Special Issue. The volume contains 14 published papers from authors around the world. This reflects the high impact of this Special Issue

Experimental Validation of Wireless Communication with Chaos

The work was supported in part by the NSFC (60804040 and 61172070), the Key Basic Research Fund of Shaanxi Province (2016ZDJC-01), the Innovation Research Team of Shaanxi Province (2013KCT-04), the Fok Ying Tong Education Foundation (Grant No. 111065), the Collaborative innovation program of Xi’an city (CXY1509-19), and the EPSRC (EP/I032606/1). Chao Bai was supported by Excellent Ph.D. research fund from XAUT.Peer reviewedPublisher PD

Cellular Automata

Modelling and simulation are disciplines of major importance for science and engineering. There is no science without models, and simulation has nowadays become a very useful tool, sometimes unavoidable, for development of both science and engineering. The main attractive feature of cellular automata is that, in spite of their conceptual simplicity which allows an easiness of implementation for computer simulation, as a detailed and complete mathematical analysis in principle, they are able to exhibit a wide variety of amazingly complex behaviour. This feature of cellular automata has attracted the researchers' attention from a wide variety of divergent fields of the exact disciplines of science and engineering, but also of the social sciences, and sometimes beyond. The collective complex behaviour of numerous systems, which emerge from the interaction of a multitude of simple individuals, is being conveniently modelled and simulated with cellular automata for very different purposes. In this book, a number of innovative applications of cellular automata models in the fields of Quantum Computing, Materials Science, Cryptography and Coding, and Robotics and Image Processing are presented

Intelligent Circuits and Systems

ICICS-2020 is the third conference initiated by the School of Electronics and Electrical Engineering at Lovely Professional University that explored recent innovations of researchers working for the development of smart and green technologies in the fields of Energy, Electronics, Communications, Computers, and Control. ICICS provides innovators to identify new opportunities for the social and economic benefits of society.　 This conference bridges the gap between academics and R&D institutions, social visionaries, and experts from all strata of society to present their ongoing research activities and foster research relations between them. It provides opportunities for the exchange of new ideas, applications, and experiences in the field of smart technologies and finding global partners for future collaboration. The ICICS-2020 was conducted in two broad categories, Intelligent Circuits & Intelligent Systems and Emerging Technologies in Electrical Engineering

Optical Communication

Optical communication is very much useful in telecommunication systems, data processing and networking. It consists of a transmitter that encodes a message into an optical signal, a channel that carries the signal to its desired destination, and a receiver that reproduces the message from the received optical signal. It presents up to date results on communication systems, along with the explanations of their relevance, from leading researchers in this field. The chapters cover general concepts of optical communication, components, systems, networks, signal processing and MIMO systems. In recent years, optical components and other enhanced signal processing functions are also considered in depth for optical communications systems. The researcher has also concentrated on optical devices, networking, signal processing, and MIMO systems and other enhanced functions for optical communication. This book is targeted at research, development and design engineers from the teams in manufacturing industry, academia and telecommunication industries

Machine Learning in Sensors and Imaging

Machine learning is extending its applications in various fields, such as image processing, the Internet of Things, user interface, big data, manufacturing, management, etc. As data are required to build machine learning networks, sensors are one of the most important technologies. In addition, machine learning networks can contribute to the improvement in sensor performance and the creation of new sensor applications. This Special Issue addresses all types of machine learning applications related to sensors and imaging. It covers computer vision-based control, activity recognition, fuzzy label classification, failure classification, motor temperature estimation, the camera calibration of intelligent vehicles, error detection, color prior model, compressive sensing, wildfire risk assessment, shelf auditing, forest-growing stem volume estimation, road management, image denoising, and touchscreens

Kriptolojik uygulamalar için FPGA tabanlı yeni kaotik osilatörlerin ve gerçek rasgele sayı üreteçlerinin tasarımı ve gerçeklenmesi

06.03.2018 tarihli ve 30352 sayılı Resmi Gazetede yayımlanan “Yükseköğretim Kanunu İle Bazı Kanun Ve Kanun Hükmünde Kararnamelerde Değişiklik Yapılması Hakkında Kanun” ile 18.06.2018 tarihli “Lisansüstü Tezlerin Elektronik Ortamda Toplanması, Düzenlenmesi ve Erişime Açılmasına İlişkin Yönerge” gereğince tam metin erişime açılmıştır.Bu tez çalışmasında, gerçek zamanlı, yüksek çalışma frekansı ve bit üretim hızına sahip Gerçek Rasgele Sayı Üreteçleri (GRSÜ), FPGA tabanlı kaotik osilatörler kullanılarak tasarlanmış ve gerçekleştirilmiştir. Bu amaçla tezin ilk aşamasında, çeşitli sistem parametrelerinin karşılaştırılması ve değerlendirilmesi amacıyla iki farklı kaotik sistem dört farklı nümerik diferansiyel denklem çözüm metodu ile modellenerek sistemlerin dinamik davranışları incelenmiş ve kaos analizleri yapılmıştır. İkinci aşamada, seçilen kaotik sistemler bir ECAD programında şematik giriş yapılarak analog devre elemanları ile modellenmiştir. Nümerik benzetim sonuçları ile ECAD benzetim sonuçları karşılaştırılmıştır. Elde edilen sonuçlara göre analog elemanlar kullanılarak yapılan ECAD benzetimi ile Matlab destekli nümerik model sonuçları birbiri ile uyumlu değerler üretmiştir. Sonraki aşamada, kaotik sistemler dört farklı diferansiyel denklem çözüm metotlarından yararlanılarak, 32-bit IEEE 754-1985 kayan noktalı sayı standardında VHDL programlama dili ile FPGA üzerinde modellenmiştir. Tasarımlar Virtex–6 ailesi XC6VLX550T-2FF1759 çipi için Xilinx ISE Design Tools 14.2 benzetim programı kullanılarak sentezlenmiştir. Elde edilen sonuçlara göre FPGA-tabanlı kaotik osilatörlerin maksimum çalışma frekansları yaklaşık olarak 390-464 MHz arasında değişmektedir. Buna göre kaotik osilatör ünitesi 1 milyon veriyi 46 ms gibi çok kısa bir sürede hesaplayabilmektedir. Bu aşamada, FPGA tabanlı ünitelerin ürettiği sonuçların doğruluğunu test etmek amacıyla RMSE yöntemi kullanılarak hassasiyet analizleri de yapılmıştır. Dördüncü aşamada, FPGA-tabanlı örnek kaotik sistemler kullanılarak GRSÜ tasarımı gerçekleştirilmiştir. Genel olarak iki farklı kaotik sistem, kaotik osilatör tasarımında dört ayrı algoritma ve kuantalama için üç değişik yöntem sunularak toplamda 24 farklı gerçek rasgele sayı üreteci ünitesi tasarlanmıştır. Tasarımlardan elde edilen sonuçlara göre, ünitelerin maksimum çalışma frekansları 339-401 MHz ve bit üretim hızları 53-132 Mbit/s arasında değişmektedir. Son aşamada, FPGA tabanlı GRSÜ'den elde edilen sayı dizileri FIPS-140-1 ve NIST-800-22 istatistiksel rasgelelik testleri kullanılarak test edilmiş ve tüm testlerden başarılı olmuştur.In this thesis, real-time True Random Number Generators (TRNGs) with high operating frequency and bit generation rate have been designed and implemented using FPGA-based chaotic oscillators. In the first stage, two separate chaotic systems have been determined and their dynamical behavioral and chaotic analysis have been investigated to compare various system parameters using by four diverse numerical differential equation solution methods. In the second stage, the chaotic systems have been modelled using analog components in an ECAD program. After that numerical and ECAD simulation results have been compared and the results obtained from each simulation proves that both approaches have produced compatible outcomes. In the next stage, the chaotic systems have been modelled in VHDL in 32-bit IEEE 754-1985 floating point number standard using by four diverse numerical differential equation solution methods. The designs have been synthesized for Virtex–6 using Xilinx ISE Design Tools 14.2. According to the syntheses results, the maximum operating frequency of the FPGA-based chaotic oscillators varies between 390 MHz and 464 MHz. Accordingly, the chaotic oscillator unit has been able to calculate 1 million data sets in 46 ms. In this stage, in order to test accuracy of results produced by FPGA-based units, the sensitivity analysis have been also performed by employing RMSE method. In the fourth stage, TRNG designs have been implemented using FPGA-based chaotic systems. 24 different TRNG units have been designed and implemented by employing two distinct chaotic systems, four different algorithms in the design of the chaotic oscillators and three diverse quantification methods. According to the results, operating frequency of the units varies between 339 MHz and 401 MHz and the bit-rates varies between 53 Mbit/s and 132 Mbit/s

Counter-Terrorism, Ethics and Technology

This open access book brings together a range of contributions that seek to explore the ethical issues arising from the overlap between counter-terrorism, ethics, and technologies. Terrorism and our responses pose some of the most significant ethical challenges to states and people. At the same time, we are becoming increasingly aware of the ethical implications of new and emerging technologies. Whether it is the use of remote weapons like drones as part of counter-terrorism strategies, the application of surveillance technologies to monitor and respond to terrorist activities, or counterintelligence agencies use of machine learning to detect suspicious behavior and hacking computers to gain access to encrypted data, technologies play a significant role in modern counter-terrorism. However, each of these technologies carries with them a range of ethical issues and challenges. How we use these technologies and the policies that govern them have broader impact beyond just the identification and response to terrorist activities. As we are seeing with China, the need to respond to domestic terrorism is one of the justifications for their rollout of the “social credit system.” Counter-terrorism technologies can easily succumb to mission creep, where a technology’s exceptional application becomes normalized and rolled out to society more generally. This collection is not just timely but an important contribution to understand the ethics of counter-terrorism and technology and has far wider implications for societies and nations around the world