Data and Applications Security and Privacy XXXI

Engineering Technology

Data and Applications Security and Privacy XXXI: 31st Annual IFIP WG 11.3 Conference, DBSec 2017, Philadelphia, PA, USA, July 19-21, 2017, Proceedings by Giovanni Livraga, Sencun Zhu
Parallel Architecture, Algorithm and Programming: 8th International Symposium, PAAP 2017, Haikou, China, June 17–18, 2017, Proceedings By Guoliang Chen, Hong Shen, Mingrui Chen
Python Natural Language Processing by Jalaj Thanaki
Xinpeng Xing, Peng Zhu, Georges Gielen, “Design of Power-Efficient Highly Digital Analog-to-Digital Converters for Next-Generation Wireless Communication Systems”
Issa Elfergani, Abubakar Sadiq Hussaini, Jonathan Rodriguez, Raed Abd-Alhameed, “”

Data and Applications Security and Privacy XXXI: 31st Annual IFIP WG 11.3 Conference, DBSec 2017, Philadelphia, PA, USA, July 19-21, 2017, Proceedings by Giovanni Livraga, Sencun Zhu

English | 2017 | ISBN: 3319611755 | 556 Pages | PDF | 32.0 MB

This book constitutes the refereed proceedings of the 31st Annual IFIP WG 11.3 International Working Conference on Data and Applications Security and Privacy, DBSec 2017, held in Philadelphia, PA, USA, in July 2017.
The 21 full papers and 9 short papers presented were carefully reviewed and selected from 59 submissions. The papers are organized in topical sections on access control, privacy, cloud security, secure storage in the cloud, secure systems, and security in networks and Web.

Parallel Architecture, Algorithm and Programming: 8th International Symposium, PAAP 2017, Haikou, China, June 17–18, 2017, Proceedings By Guoliang Chen, Hong Shen, Mingrui Chen

English | PDF | 2017 | 639 Pages | ISBN : 9811064415 | 44.81 MB

This book constitutes the refereed proceedings of the 8th International Symposium on Parallel Architecture, Algorithm and Programming, PAAP 2017, held in Haikou, China, in June 2017.
The 50 revised full papers and 7 revised short papers presented were carefully reviewed and selected from 192 submissions. The papers deal with research results and development activities in all aspects of parallel architectures, algorithms and programming techniques.

Python Natural Language Processing by Jalaj Thanaki

English | July 31st, 2017 | ASIN: B072B8YWCJ, ISBN: 1787121429 | 648 Pages | EPUB | 14.23 MB

This book starts off by laying the foundation for Natural Language Processing and why Python is one of the best options to build an NLP-based expert system with advantages such as Community support, availability of frameworks and so on. Later it gives you a better understanding of available free forms of corpus and different types of dataset. After this, you will know how to choose a dataset for natural language processing applications and find the right NLP techniques to process sentences in datasets and understand their structure. You will also learn how to tokenize different parts of sentences and ways to analyze them.
During the course of the book, you will explore the semantic as well as syntactic analysis of text. You will understand how to solve various ambiguities in processing human language and will come across various scenarios while performing text analysis.
You will learn the very basics of getting the environment ready for natural language processing, move on to the initial setup, and then quickly understand sentences and language parts. You will learn the power of Machine Learning and Deep Learning to extract information from text data.
By the end of the book, you will have a clear understanding of natural language processing and will have worked on multiple examples that implement NLP in the real world.
Key Features
• Implement Machine Learning and Deep Learning techniques for efficient natural language processing
• Get started with NLTK and implement NLP in your applications with ease
• Understand and interpret human languages with the power of text analysis via Python
What you will learn
• Focus on Python programming paradigms, which are used to develop NLP applications
• Understand corpus analysis and different types of data attribute.
• Learn NLP using Python libraries such as NLTK, Polyglot, SpaCy, Standford CoreNLP and so on
• Learn about Features Extraction and Feature selection as part of Features Engineering.
• Explore the advantages of vectorization in Deep Learning.
• Get a better understanding of the architecture of a rule-based system.
• Optimize and fine-tune Supervised and Unsupervised Machine Learning algorithms for NLP problems.
• Identify Deep Learning techniques for Natural Language Processing and Natural Language Generation problems.

Xinpeng Xing, Peng Zhu, Georges Gielen, “Design of Power-Efficient Highly Digital Analog-to-Digital Converters for Next-Generation Wireless Communication Systems”

English | EPUB | 2017 (2018 Edition) | 200 Pages | ISBN : 3319665642 | 5 MB

This book discusses both architecture- and circuit-level design aspects of voltage-controlled-oscillator (VCO)-based analog-to-digital converters (ADCs), especially focusing on mitigation of VCO nonlinearity and the improvement of power efficiency. It shows readers how to develop power-efficient complementary-metal-oxide-semiconductor (CMOS) ADCs for applications such as LTE, 802.11n, and VDSL2+. The material covered can also be applied to other specifications and technologies.
Design of Power-Efficient Highly Digital Analog-to-Digital Converters for Next-Generation Wireless Communication Systems begins with a general introduction to the applications of an ADC in communications systems and the basic concepts of VCO-based ADCs. The text addresses a wide range of converter architectures including open- and closed-loop technologies. Special attention is paid to the replacement of power-hungry analog blocks with VCO-based circuits and to the mitigation of VCO nonline
arity. Various MATLAB/Simulink models are provided for important circuit nonidealities, allowing designers and researchers to determine the required specifications for the different building blocks that form the systematic integrated-circuit design procedure.
Five different VCO-based ADC design examples are presented, introducing innovations at both architecture and circuit levels. Of these designs, the best power efficiency of a high-bandwidth oversampling ADC is achieved in a 40 nm CMOS demonstration.
This book is essential reading material for engineers and researchers working on low-power-analog and mixed-signal design and may be used by instructors teaching advanced courses on the subject. It provides a clear overview and comparison of VCO-based ADC architectures and gives the reader insight into the most important circuit imperfections.

Issa Elfergani, Abubakar Sadiq Hussaini, Jonathan Rodriguez, Raed Abd-Alhameed, “”

English | EPUB | 2017 (2018 Edition) | 335 Pages | ISBN : 3319639668 | 10 MB

This book highlights technology trends and challenges that trace the evolution of antenna design, starting from 3rd generation phones and moving towards the latest release of LTE-A. The authors explore how the simple monopole and whip antenna from the GSM years have evolved towards what we have today, an antenna design that is compact, multi-band in nature and caters to multiple elements on the same patch to provide high throughput connectivity.
The scope of the book targets a broad range of subjects, including the microstrip antenna, PIFA antenna, and the monopole antenna to be used for different applications over three different mobile generations. Beyond that, the authors take a step into the future and look at antenna requirements for 5G communications, which already has the 5G drive in place with prominent scenarios and use-cases emerging. They examine these, and put in place the challenges that lie ahead for antenna design, particularly in mm-Wave design. The book provides a reference for practicing engineers and under/post graduate students working in this field.