Miracle-dz/UniFAR-FTUs huggingface dataset:
Recent advances in intrusion detection : 12th International Symposium, RAID 2009, Saint-Malo, France, September 23-25, 2009 : proceedings

Recent Advances in Intrusion Detection Anomaly and Specification-Based Approaches. - Panacea: Automating Attack Classification for Anomaly-Based Network Intrusion Detection Systems. - Protecting a Moving Target: Addressing Web Application Concept Drift. - Adaptive Anomaly Detection via Self-calibration and Dynamic Updating. - Runtime Monitoring and Dynamic Reconfiguration for Intrusion Detection Systems. - Malware Detection and Prevention (I). - Malware Behavioral Detection by Attribute-Automata Using Abstraction from Platform and Language. - Automatic Generation of String Signatures for Malware Detection. - PE-Miner: Mining Structural Information to Detect Malicious Executables in Realtime. - Network and Host Intrusion Detection and Prevention. - Automatically Adapting a Trained Anomaly Detector to Software Patches. - Towards Generating High Coverage Vulnerability-Based Signatures with Protocol-Level Constraint-Guided Exploration. - Automated Behavioral Fingerprinting. - Intrusion Detection for Mobile Devices. - SMS-Watchdog: Profiling Social Behaviors of SMS Users for Anomaly Detection. - Keystroke-Based User Identification on Smart Phones. - VirusMeter: Preventing Your Cellphone from Spies. - High-Performance Intrusion Detection. - Regular Expression Matching on Graphics Hardware for Intrusion Detection. - Multi-byte Regular Expression Matching with Speculation. - Malware Detection and Prevention (II). - Toward Revealing Kernel Malware Behavior in Virtual Execution Environments. - Exploiting Temporal Persistence to Detect Covert Botnet Channels. - Posters. - An Experimental Study on Instance Selection Schemes for Efficient Network Anomaly Detection. - Automatic Software Instrumentation for the Detection of Non-control-data Attacks. - BLADE: Slashing the Invisible Channel of Drive-by Download Malware. - CERN Investigation of Network Behaviour and Anomaly Detection. - Blare Tools: A Policy-Based Intrusion Detection System Automatically Set by the Security Policy. - Detection, Alert and Response to Malicious Behavior in Mobile Devices: Knowledge-Based Approach. - Autonomic Intrusion Detection System. - ALICE@home: Distributed Framework for Detecting Malicious Sites. - Packet Space Analysis of Intrusion Detection Signatures. - Traffic Behaviour Characterization Using NetMate. - On the Inefficient Use of Entropy for Anomaly Detection. - Browser-Based Intrusion Prevention System. - Using Formal Grammar and Genetic Operators to Evolve Malware. - Method for Detecting Unknown Malicious Executables. - Brave New World: Pervasive Insecurity of Embedded Network Devices. - DAEDALUS: Novel Application of Large-Scale Darknet Monitoring for Practical Protection of Live Networks.
The king and the clown in South Indian myth and poetry

The author discusses the tragi-comic aspect of Chola kingship in relation to other Indian expressions of comedy, such as the Vidiisaka of Sanskrit drama, folk tales of the jester Tenali Rama, and clowns of the South Indian shadow-puppet theaters. The symbolism of the king emerges as part of a wider range of major symbolic figures--Brahmins, courtesans, and the tragic" bandits and warrior-heroes.Originally published in 1986.The Princeton Legacy Library uses the latest print-on-demand technology to again make available previously out-of-print books from the distinguished backlist of Princeton University Press. These paperback editions preserve the original texts of these important books while presenting them in durable paperback editions. The goal of the Princeton Legacy Library is to vastly increase access to the rich scholarly heritage found in the thousands of books published by Princeton University Press since its founding in 1905.
An exact computational method for performance analysis of sequential test algorithms for detecting network intrusions

Sequential test algorithms are playing increasingly important roles for quick detecting network intrusions such as portscanners. In view of the fact that such algorithms are usually analyzed based on intuitive approximation or asymptotic analysis, we develop an exact computational method for the performance analysis of such algorithms. Our method can be used to calculate the probability of false alarm and average detection time up to arbitrarily pre-specified accuracy.
Protocol for a Systematic Literature Review of Motivation in Software Engineering

Preamble Motivation is a crucial factor in software productivity and software failure (MoMSE 2005). The proposed study brings together published work in the field of software engineer motivation by following systematic literature review guidelines (Kitchenham 2004) for the first time. The literature review aims to summarise research studies related to our research questions in a way that is fair, rigorous and auditable. As recommended by 1 Kitchenham (2004) we consider the wider implications of our research. This study has a broad justification because it could help software engineers to understand factors affecting software quality and productivity. For example, understanding and applying motivation approaches that tap into the true needs of software engineers could lead to less absenteeism and improved levels of staff retention. We note however, that factors affecting software quality are very varied and multidimensional and that motivation may only play a small part in influencing the quality of the software product. Noting this limitation, a synthesis of the literature on software engineer characteristics and motivation may reveal discrepancies between beliefs, anecdotes and the current state of practice. The proposed systematic literature review is concerned with a crucial but neglected area of software engineering – the motivation of software engineers. While there is increasing recognition that motivation in software engineering may be problematic, no studies have been undertaken to bring together the studies of motivation in a software engineering setting (MoMSE 2005). Motivation is increasingly cited as a particularly pernicious people problem in software engineering. In DeMarco and Lister's 1999 survey, motivation was found to be one of the most frequently cited causes of software development project failure (DeMarco and Lister 1999). The Standish report (1995) amplifies this finding by reporting that having access to competent, hard working and focused staff is one of ten success criteria for software projects. The studies in this area suggest that conventional approaches to motivation within the industry might be outdated. They have concentrated on rewards and recognition, e.g. (ProjectLink 2006), whereas some experts have identified software engineers as having a distinctive personality profile (Capretz 2003) that are instead motivated by the nature of the job, e.g. technical success and challenging technical problems (Couger and Zawacki 1980). The literature is presenting mixed messages relating to software engineer motivation. For example, a body of work found that programmers and analysts have lower 1 The idea and structure of this protocol stems from Kitchenham's (2004) …
Prioritizing Policies for Pro-Poor Growth : Applying Bayesian Model Averaging to Vietnam

Pro-Poor Growth (PPG) is the vision of combining high growth rates with poverty reduction.Due to the myriad of possible determinants of growth and poverty a unique theoretical model for guiding empirical work on PPG is absent, though.Bayesian Model Averaging is a statistically robust framework for this purpose.It addresses the existent parameter and model uncertainty by not choosing a single model but averaging over all possible ones.Using data for the 61 Vietnamese provinces we are able to ascertain a prioritization of all used determinants of poverty, growth and of PPG of our large set of explanatory variables.
A Simulation Approach to Validate Models Derived from Observational Studies

Protocol analysis is a suitable approach for studying cognitive behaviors. It is a psychological research method that elicits verbal reports from research participants, and is used to study the thinking process in the cognitive sciences (cognitive psychology, behavior analysis). Consequently, much of what we know in most domains and particularly in software engineering about practitioners' cognitive processes is based on researchers' use of protocol analysis (Robillard et al, 1998). Trickett & Trafton (2002) provide a comprehensive summary of practical how-to primers on protocol analysis. Hughes & Parkes (2003) provide an excellent survey of trends in the use of verbal protocol analysis in software engineering research. They found that some difficulties associated with the technique are: (i) the effort of devising a valid and reliable encoding scheme; (ii) the time-consuming nature of the encoding process; and (iii) the problem of comparing the results of researchers who have applied different encoding schemes.
Shake Hands with the Devil

Rwanda, the “land of one thousand hills,” located in the middle of the continent, is one of Africa’s most densely populated countries with 819 persons per square mile. Tensions between the two major ethnic groups, the Hutus and Tutsis, go back for centuries. The Hutu agriculturalists were first to arrive around 1000 BCE. Around 1400 another ethnic group, the pastoralist Tutsi, moved into the same region. Eventually the two groups came to share the same language, customs and even intermarried. Today the population is 90% Hutu and 10% Tutsi.
Physically based lighting calculations for computer graphics

Realistic image generation is presented in a theoretical formulation that builds from previous work on the rendering equation. Previous and new solution techniques for the global illumination are discussed in the context of this formulation. The physical rules governing reflection are used to make improvements in local reflection models. The conventional local illumination models used in computer graphics are examined and modified to be consistent with these physical rules. Global illumination is treated in terms of evaluation of a Global Radiance Function. Image-based solution methods are phrased as a lazy evaluation of the Global Radiance Function; evaluation takes place for visible points. Zonal solution methods are phrased as table based solutions. A proof is given that, subject to certain constraints, only O(N) rays are required for a zonal solution with N zones. Simulation allows for surfaces which are not zoned to interact with those that are. The ray tracing zonal solution methods used for surfaces are extended to scenes with participating media. The impact of wavelength selection and time dependencies is also discussed. An object oriented implementation is discussed. This implementation separates the local and global illumination modules, so all of the specifics of the local models are hidden from the global energy transport code. This allows new local modules to be added by specifying the black box access routines.
A Novel Method for Scene Modeling to Detect Unusual Activity

Abstract. Automated video surveillance is crucial for the security of various sites including airports, train stations, military bases, and many other public facilities. A modern surveillance system is expected to not only perform basic object detection and tracking, but also to interpret object behaviors. This higher level interpretation can have several applications including abnormal behavior detection, analysis of traffic trends, and improving object detection and tracking. In this paper we focus on the problem of interpreting the output of the object detection and tracking module in order to gather knowledge about the scene. This knowledge is used to build a scene model which can be used to detect abnormal motion patterns and to enhance the surveillance performance by improving object detection. We present two novel and complementing models here: first model that is suitable for modeling single object motion, and real-time applications and second model that is useful for learning relationship between concurrently moving object pairs in the scene.
Simplicity, Inference and Modelling: Keeping it Sophisticatedly Simple

1. The importance of simplicity in theory and practice A. Zellner, H. A. Keuzenkamp and M. McAleer 2. What is the problem of simplicity? E. Sober 3 Science seeks parsimony - not simplicity searching for pattern in phenomena H. Simon 4. A macroeconomic approach to complexity M. Boumans 5. The new science of simplicity M. R. Forster 6. What explains complexity? B. Hamminga 7. Occam's bonus A. W. F. Edwards 8. Simplicity, information, Kolmogorov complexity, and prediction P. Vitanyi and M. Li 9. Simplicity and statistical inference J. Rissanen 10. Rissanen's theorem and econometric series W. Ploberger and P. C. B. Phillips 11. Parametric versus non-parametric inference: satistical models and simplicity 12. The role of simplicity in an econometric model selection process A. Aznar, M. Isable Ayuda and C. Garcia-Olaverri 13. Simplicity in a behavioural, non-parametric context D. Tempelaar 14. Keep it sophisticatedly simple A. Zellner 15. Communication, complexity and coordination in games M. Ganslandt 16. The simplicity of an earnings frontier U. Jensen 17. Simplicity - views of the Nobel Laureates in economic science H. A. Keuzenkamp and M. McAleer.
Protocols of Users Manipulating Visually Presented Information with Natural Language.

Abstract : This document contains a complete set of transcripts for a set of protocols collected at BBN by Candy Sidner, with the help of Rusty Bobrow and Jeff Gibbons, in the spring of 1980. In all, eight protocols were collected, two preliminary ones and six main ones. The two preliminary protocols are based on the task of designing a 1 bit adder and a 4 bit parallel adder as are three of the main protocols, while the other three make use of KL-1 as a database system with graphic representation. The purpose of these protocols, and hence the design of the tasks, was to obtain data about how people talk about graphically presented material which they are trying to manipulate in some way. In particular, we were interested in the kinds of references people made and what sorts of instructions they gave to the machine. (Author)
A Mobile Agent Virtual Reality Modeling of Searching Robots

This paper presents a mobile agents approach for multiple searching robots in a virtual reality environment. The robots are programmed to perform objects searching in a real house starting from a base point. A robot is defined as an autonomous ground vehicle and is equipped with software (mobile agent) and sensors. When a robot found the required object, the mobile agent announce the end of the searching, and the robots return to the base. The equations of motion (kinematics and dynamics) were presented, and the motion planning with obstacle avoidance (collision free) implemented. The efficacy of algorithms are evaluated based on mobile agents communication. 2000 Mathematics Subject Classification. 68T99; 65D17.
Significance of Search Logs in Crawling

On most sites, users look to on-site Search after they've scanned the page for clues to the content they're seeking. A quality Search experience is critical to making users happy. With clever instrumentation and reporting, you can put together benchmarks for your search that will help identify problems quickly and will make search more efficient and fast. The place to start is the Search Log. How hard is search? How much does personalization help? All the answers lie with Search Logs. Effective organization of search results is critical for improving the utility of any Crawler . In this paper we discuss the significance of search logs on crawlers. Using the contents of Search logs crawler can refine the search and retrieve data more quickly and personalize the search according to user needs and interests.
Three dimensional object representation revisited

Categories and shape prototypes are considered for a class ob object recognition problems where rigid and detailed object models are not available or do not apply. We propose a modeling system for generic objects to recognize different objects from the same category with only one generic model. We base our design of the modeling system upon the current psychological theories of categorization and human visual perception. The representation consists of a prototype represented by parts and their configuration. Parts are modeled by superquadric volumetric primitives which can be combined via Boolean operations to form objects. Variations between objects within a category are described by changes in structure and shape deformations of prototypical parts. Recovery of deformed supequadric models from sparse 3-D points is developed and some results are shown.
A Temporal Fuzzy-ART Neural Network Architecture as a Model of Phoneme Perception

OF THESIS Submitted in Partial Fulfillment of the Requirements for the Degree of Master of Arts Linguistics The University of New Mexico Albuquerque, New Mexico July, 2011 A Temporal Fuzzy-ART Neural Network Architecture as a Model of Phoneme Perception by (Rex) Devon Hjelm B.S., Astrophysics, University of New Mexico, 2004 M.S., Physics, University of New Mexico, 2007 M.S., Linguistics, University of New Mexico, 2011
Estimating and interpreting the instantaneous frequency of a signal. I. Fundamentals

The concept of instantaneous frequency (IF), its definitions, and the correspondence between the various mathematical models formulated for representation of IF are discussed. The extent to which the IF corresponds to the intuitive expectation of reality is also considered. A historical review of the successive attempts to define the IF is presented. The relationships between the IF and the group-delay, analytic signal, and bandwidth-time (BT) product are explored, as well as the relationship with time-frequency distributions. The notions of monocomponent and multicomponent signals and instantaneous bandwidth are discussed. It is shown that these notions are well described in the context of the theory presented. >
Representation and Implementation of Design Knowledge for Intelligent CAD lmplementational Aspects

: In this paper we present the metamodel mechanism, one of the features of IDOL (Integrated Data Description Language). IDOL is a programming language with features of object-oriented programming and logic programming and it is currently being developed at the University of Tokyo and cw1 (The cw1 version is called ADDL, Artifact and Design Description Language). It is a knowledge representation language especially designed for implementing intelligent CAD (Computer Aided Design) systems. It incorporates a metamodel mechanism, which provides a means to represent the design object model in a context independent way. From a metamodel aspect-models can be derived. Aspect models are interpretations of the metamodel in a certain context. Examples of an aspect model are a kinematic model and a geometric model. The paper is organized as follows, first we give an informal introduction to IDOL, thereafter we give an extensive example of the usage of the metamodel. Note that this paper is a follow-up of another paper in this volume, which provides a theoretical introduction to the subject (11 ].
An integrated system for real-time and on-line applications in industrial photogrammetry

A system for real-time applications in close-range and industrial photogrammetry is presented. Special attention is given to system design and implementation. The system consists of a variable number of active and passive image sensors controlled by an multi-processor computer environment. The image processing unit incorporates various methods for automated measurement of targets, laser spots and object elements. System calibration is done by rigorous bundle adjustment. Target determination is performed by single-image measurements, while spatial object elements (circles, planes, edges) are processed by multi-image edge-matching techniques. Overall system control is implemented by a flexible programming language. The system can work in two different modes, teach-in and automatic measurement. Both hardware and software components are designed for use in an industrial environment. Particular importance is given to ease-of-use and robust operations. The system will initially be used for quality control applications in the automobile industry.
A NOVEL CONTENT BASED IMAGE RETRIEVAL MODEL BASED ON THE MOST RELEVANT FEATURES USING PARTICLE SWARM OPTIMIZATION

Content Based Image Retrieval (CBIR) is the application of computer vision techniques to the image retrieval problem, that is, the problem of searching for digital images in large databases. Content-based image retrieval (CBIR) depends on extracting the most relevant features according to a feature selection technique. The integration of multiple features may cause the curse of dimensionality and the consumed time in the retrieval process. The proposed model includes the following steps: (i) Feature Extraction from images database using color coherence vector (CCV) and Gabor filter algorithm to extract the color and texture features (ii) Feature Discrimination using maximum entropy method for replacing numerical features with nominal features that represent intervals of numerical domains with discrete values using Class Attribute Interdependence Maximization (CAIM) algorithm (iii) Feature Selection using Particle Swarm Optimization (PSO) algorithm for extracting the most relevant features from the original features set. CBIR based applications are used in Internet and law enforcement markets for the purpose of identifying and censoring the images.
Transistor-Level Statistical Timing Analysis : Solving Random Differential Equations Directly

In this Ph.D. thesis, a novel non-MC Random differential Equation based Statistical Timing Analysis (RESTA) method is proposed, which considers both process variations and electrical circuit effects, such as multiple input simultaneous switching and crosstalk effects. To make the approach practical for analysis of large circuits at high accuracy, we propose a Simplified Transistor Model (STM) for transistor-level timing analysis. For statistical delay calculation, instead of simulating thousands of times using Monte Carlo methods or simulating at many corners using corner-based methods, RESTA simulates only once, solving random differential equations directly. Crosstalk effects are taken into account based on our proposed Piecewise Linear Delay change curve Model (PLDM) for statistical interconnect delay calculation.
Etude fondamentale de l’assistance cryogénique pour application au fraisage du Ti6Al4V

Resume : Les principaux challenges de l’industrie du futur sont de satisfaire a toujours plus d’exigences en termes de developpement durable, d’optimisation des couts et des delais. Les secteurs industriels fabriquant des produits a haute valeur ajoutee tels que l’aeronautique et le spatial, sont dans une perspective continue d’amelioration des produits manufactures et des procedes. L’emploi de materiaux tels que des alliages de titane ou les superalliages a base de nickel devient courant. Ils sont cependant « complexes a usiner ». Les difficultes comme l’usure prematuree des outils, les deformations de pieces ou encore les mauvaises qualites de surface deviennent problematiques. C’est dans cette perspective que l’assistance cryogenique en usinage peut repondre aux diverses problematiques. Cette technologie peut apporter les reponses aux exigences d’industrialisation : limitation des elevations de temperature, pas de nettoyage post-usinage et pas d’utilisation de fluides de coupe nocifs pour les operateurs. Cela induit pourtant de nouvelles questions tel que l’acheminement du fluide cryogenique vers les zones souhaitees, l’optimisation du procede ou encore l’impact du grand froid sur les outils et les pieces. De nouveaux verrous technologiques et scientifiques apparaissent. Cette these propose de les etudier.