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History of Cryptography and Cryptanalysis
No full textThis accessible textbook presents a fascinating review of cryptography and cryptanalysis across history. The text relates the earliest use of the monoalphabetic cipher in the ancient world, the development of the “unbreakable” Vigenère cipher, and an account of how cryptology entered the arsenal of military intelligence during the American Revolutionary War. Moving on to the American Civil War, the book explains how the Union solved the Vigenère ciphers used by the Confederates, before investigating the development of cipher machines throughout World War I and II. This is then followed by an exploration of cryptology in the computer age, from public-key cryptography and web security, to criminal cyber-attacks and cyber-warfare. Looking to the future, the role of cryptography in the Internet of Things is also discussed, along with the potential impact of quantum computing
Artificial Intelligence and Games
No full textThis is the first textbook dedicated to explaining how artificial intelligence (AI) techniques can be used in and for games. After introductory chapters that explain the background and key techniques in AI and games, the authors explain how to use AI to play games, generate content for games, and model players. The book will be suitable for undergraduate and graduate courses in games, artificial intelligence, design, human-computer interaction, and computational intelligence, and also for self-study by industrial game developers and practitioners. The authors have developed a website (http://www.gameaibook.org) that complements the material covered in the book with up-to-date exercises, lecture slides, and reading
Engineering Applications of Neural Networks
No full textThis book presents modeling methods and algorithms for data-driven prediction and forecasting of practical industrial process by employing machine learning and statistics methodologies. Related case studies, especially on energy systems in the steel industry are also addressed and analyzed. The case studies in this volume are entirely rooted in both classical data-driven prediction problems and industrial practice requirements. Detailed figures and tables demonstrate the effectiveness and generalization of the methods addressed, and the classifications of the addressed prediction problems come from practical industrial demands, rather than from academic categories. As such, readers will learn the corresponding approaches for resolving their industrial technical problems. Although the contents of this book and its case studies come from the steel industry, these techniques can be also used for other process industries. This book appeals to students, researchers, and professionals within the machine learning and data analysis and mining communities
Service Research and Innovation
No full textThis book constitutes revised selected papers from the Australasian Symposium on Service Research and Innovation, ASSRI, held in Sydney Australia.
The 11 full papers presented from ASSRI 2017, which took place during October 19-20, 2017, were carefully reviewed and selected from 26 submissions. The volume also contains 3 papers from ASSRI 2015, which took place during November 2-3, 2015, and one invited paper on the software development processes.
The papers were organized in topical sections named: invited talk; modelling; design; quality; social, and application
Intelligent Computing Systems
No full textThis book constitutes the proceedings of the Second International Symposium on Intelligent Computing Systems, ISICS 2018, held in Merida, Mexico, in March 2018.
The 12 papers presented in this volume were carefully reviewed and selected from 28 submissions. They deal with the field of intelligent computing systems focusing on artificial intelligence, computer vision and image processing
New Directions in Third Wave Human-Computer Interaction: Volume 2 - Methodologies
No full textThis is the first extensive compilation documenting contemporary third wave HCI, covering key methodological developments at the leading edge of human-computer interactions. Now in its second decade as a major current of HCI research, the third wave integrates insights from the humanities and social sciences to emphasize human dimensions beyond workplace efficiency or cognitive capacities. Where the earliest HCI work has been strongly based on the concept of human-machine coupling, which expanded to workplace collaboration as computers came into mainstream professional use, today HCI can connect to almost any human experience because there are new applications for every aspect of daily life.
Volume 2 - Methodologies covers methodological approaches grounded in autoethnography, empathy-based design, crowdsourcing, psychometrics, user engagement, speculative design, somatics, embodied cognition, peripheral practices and transdisciplinarity
Random Numbers and Computers
No full textThis book covers pseudorandom number generation algorithms, evaluation techniques, and offers practical advice and code examples. Random Numbers and Computers is an essential introduction or refresher on pseudorandom numbers in computer science.
The first comprehensive book on the topic, readers are provided with a practical introduction to the techniques of pseudorandom number generation, including how the algorithms work and how to test the output to decide if it is suitable for a particular purpose.
Practical applications are demonstrated with hands-on presentation and descriptions that readers can apply directly to their own work. Examples are in C and Python and given with an emphasis on understanding the algorithms to the point of practical application. The examples are meant to be implemented, experimented with and improved/adapted by the reader
Computational Studies on Cultural Variation and Heredity
No full textThis book explores the emerging concept of cultural DNA, considering its application across different fields and examining commonalities in approach. It approaches the subject from four different perspectives, in which the topics include theories, analysis and synthesis of cultural DNA artefacts.
After an opening section which reviews theoretical work on cultural DNA research, the second section discusses analysis & synthesis of cultural DNA at the urban scale. Section three covers analysis & synthesis of cultural DNA artefacts, and the final section offers approaches to grammar-based cultural DNA research.
The book places emphasis on two specific axes: one is the scale of the object under discussion, which ranges from the small (handheld artefacts) to the very large (cities); and the other is the methodology used from analysis to synthesis. This diverse approach with detailed information about grammar-based methodologies toward cultural DNA makes the book unique.
This book will serve as a source of inspiration for designers and researchers trying to find the essence, archetype, and the building blocks of our environment for the incorporation of social and cultural factors into their designs
Analisis Performansi Denoising Sinyal EMG pada Kasus Kelelahan Otot Menggunakan Metode Discrete Wavelet Transform Dan Kalman Filter
No full textKelelahan otot(muscle fatigue) merupakan ketidakmampuan seseorang dalam melakukan aktivitas dikarenakan otot yang terus menerus berkontraksi. Kelelahan otot dapat membuat seseorang mengalami cedera jika tidak diidentifikasi kelelahannya. Oleh karena itu dibutuhkan sebuah alat yang dapat menangkap aktivitas pergerakan otot secara akurat. Electromyography (EMG) merupakan suatu representasi sinyal elektrik yang terdapat dalam lapisan otot selama gerakan aktif yang diindikasikan dari saraf. Terdapat 2 cara mendapatkan data EMG, yaitu berdasarkan lapisan kulit(surface) dan jarum elektroda. Pada Tugas akhir ini menggunakan surface EMG (sEMG).
Namun pada penggunaan sEMG selalu mendapatkan noise yang berasal dari berbagai faktor. Pada penelitian kali ini mengangkat topik menghilangkan noise dengan mengimplementasikan metode discrete wavelet transform(DWT) dan algoritma kalman filter. Pada penelitan terdahulu menyatakan bahwa kedua metode ini dinyatakan mampu dalam men-denoising sinyal, tetapi hasil denoising tersebut tidak menyatakan bahwa hasil klasifikasi terpenaruh oleh sinyal ter-denoising.
Hasil kedua metode tersebut untuk mendapatkan nilai SNR 30,46793 untuk DWT dan 20,89543 untuk Kalman filter, dan untuk nilai MSE DWT yaitu 0,019184 lebih baik dibandingkan Kalman filter mendapatkan nilai 0,057753. Hasil pengklasifikasian kelelahan otot menggunakan data sinyal yang tidak mengalami denoising sebelumnya mempunyai akurasi 95,06%, dan sinyal yang telah ter-denoising adalah 96,69% untuk Kalman filter dan 97,28% untuk DWT. Sehingga untuk penelitian ini dikatakan bahwa DWT merupakan metode denoising terbaik