Data Mining Practical Machine Learning Tools and Techniques

Aspect] is a simple and practical aspect-oriented extension to Java With just a few new constructs, AspectJ provides support for modular implementation of a range of crosscutting concerns. In AspectJ's dynamic join point model, join points are well-defined points in the execution of the program; pointcuts are collections of join points; advice are special method-like constructs that can be attached to pointcuts; and aspects are modular units of crosscutting implementation, comprising pointcuts, advice, and ordinary Java member declarations. AspectJ code is compiled into standard Java bytecode. Simple extensions to existing Java development environments make it possible to browse the crosscutting structure of aspects in the same kind of way as one browses the inheritance structure of classes. Several examples show that AspectJ is powerful, and that programs written using it are easy to understand.

An overview of AspectJ

Digital watermarking is a key ingredient to copyright protection. It provides a solution to illegal copying of digital material and has many other useful applications such as broadcast monitoring and the recording of electronic transactions. Now, for the first time, there is a book that focuses exclusively on this exciting technology. Digital Watermarking covers the crucial research findings in the field: it explains the principles underlying digital watermarking technologies, describes the requirements that have given rise to them, and discusses the diverse ends to which these technologies are being applied. As a result, additional groundwork is laid for future developments in this field, helping the reader understand and anticipate new approaches and applications.

Digital Watermarking

National Institute of Standards and Technology における超伝導研究及び生活

The objective of this paper is to give a comprehensive introduction to applied cryptography with an engineer or computer scientist in mind. The emphasis is on the knowledge needed to create practical systems which supports integrity, confidentiality, or authenticity. Topics covered includes an introduction to the concepts in cryptography, attacks against cryptographic systems, key use and handling, random bit generation, encryption modes, and message authentication codes. Recommendations on algorithms and further reading is given in the end of the paper. This paper should make the reader able to build, understand and evaluate system descriptions and designs based on the cryptographic components described in the paper.

[서평]「Applied Cryptography」

Adapting Organic Computing Architectures to an Automotive Environment to Increase Safety & Security

Guest Editorial: Supplement on Secure Media&#8212;I

Testability and error rates are fundamental requirements for forensic investigations methods. For digitized forensics (e.g. fingerprint or fiber traces) signal processing and pattern recognition concepts are used. The quality of the acquisition process is sparsely researched. In our article we outline a first approach to address this and to open the discussion about the general challenge. We propose using Visual Quality Indices (VQI) as objective measure to compare scanned (digitized) traces for 3 different 3D contactless sensors (in-tensity + topography data) and 1 sensor with spectrometer-based wavelength output. We propose a fitness matrix containing VQI results for trace data acquired for each sensor and suggest using the number of outliers (non-occupied elements of the main diagonal) as fitness measure. We compare 182 data sets using 4 contactless sensors for 2 consecutive scans of 13 traces (3 fingerprints + 10 fibers, with 78 intensity and 78 topography data sets for the three 3D sensors and 26 for the spectography-based wavelength output). We compare the 2 consecutive scans vice versa by computing VQIs for all 7 outputs (intensity, topography and wavelength output) per trace, yielding 196 (14×14) single comparisons per trace and VQI (in all 356720 comparisons). We research the best performing VQIs to select intra-sensor, intra-trace data from intra- and inter-sensor data, giving a starting point for further inter-sensor investigations. Our research shows the Luminance Similarity Score (LSS) performing best in intra-sensor, intra-trace scenarios for fingerprint traces and Mean Squared Error (MSE), Peak Signal-to-Noise Ratio (PSNR) and PSNR in the YUV Color Space (PSNRY) equally performing best for synthetic fiber traces as a first result for further discussion.

Forensic sensor quality evaluation: Towards objective visual quality indices for contact-less fingerprint and fiber traces

A statistical analysis using the univariate, multifactorial analysis of variance (ANOVA) is used in this paper to investigate the impact of selected noise characteristics (here a 4-factorial design: amplitude, complexity, harmony and fundamental frequency) to speech signals and consecutively to the detection performance in speaker recognition systems (exemplarily used here: the BioSecure reference system ALIZE) in automotive application scenarios. An application scenario specific set of noise signals is recorded and generated and used to evaluate the influence of the noise characteristics. The results show that especially the amplitude and the fundamental frequency show a significant impact (p-values 0.5).

Statistical effects of selected noise characteristics on speaker recognition in automotive environments: a first ANOVA-based investigation

/pdf/front-matter-volume-7541-jrhxhjmehm.pdf

Jana Dittmann

Papers

Adapting Organic Computing Architectures to an Automotive Environment to Increase Safety & Security

Guest Editorial: Supplement on Secure Media—I

Forensic sensor quality evaluation: Towards objective visual quality indices for contact-less fingerprint and fiber traces

Statistical effects of selected noise characteristics on speaker recognition in automotive environments: a first ANOVA-based investigation

Front Matter: Volume 7541

Jana Dittmann

Papers

Adapting Organic Computing Architectures to an Automotive Environment to Increase Safety & Security

Guest Editorial: Supplement on Secure Media&#8212;I

Forensic sensor quality evaluation: Towards objective visual quality indices for contact-less fingerprint and fiber traces

Statistical effects of selected noise characteristics on speaker recognition in automotive environments: a first ANOVA-based investigation

Front Matter: Volume 7541

Guest Editorial: Supplement on Secure Media—I