Miracle-dz/UniFAR-FTUs huggingface dataset:
Cassandra high performance cookbook : over 150 recipes to design and optimize large-scale Apache Cassandra deployments

This is a cookbook and all tasks are approached as recipes. A recipe describes a task and outlines the steps necessary to complete this task. Some recipes in the book are examples of writing code. An example of this is a recipe that stores and accesses the entries of a phone book in Cassandra. The recipe consists of a description of the program, a full code example is given, the example is run, the output is displayed, and finally the how it works section describes the process or code in greater detail. Other recipes in the book describe a task. An example of this is a recipe that takes a snapshot back up of data in Cassandra. This recipe contains a description of the process, it then shows how to run the snapshot command and confirm that it worked, it then explains what the snapshot command does behind the scenes, finally the see also' section references other related recipes such as the recipe to restore a snapshot. This book is designed for administrators, developers, and data architects who are interested in Apache Cassandra for redundant, highly performing, and scalable data storage. Typically these users should have experience working with a database technology, multiple node computer clusters, and high availability solutions.
Microsoft SQL Server 2000 DBA Survival Guide

From the Publisher: Microsoft SQL Server 2000 DBA Survival Guide is organized into several parts that comprise the various jobs and tasks the DBA performs. Each chapter is presented with the goal of providing knowledge and "know-how" to Database Administrators of a SQL Server database. The chapters also offer real-world insight and experience by passing on tips, tricks, and suggestions based on what the authors have learned the hard way. The book also takes time to provide checklists and examples for various SQL Server DBA tasks. The book also provides insight into the tasks that make-up a DBA's job including discussions of topics such as the creation of naming standards and conventions which are essential for efficient administration.
Case marking in child L1 and early child L2 German

We examine case marking in spontaneous production data from four successive bilingual children and in experimental data from 21 successive bilingual and 14 monolingual children. A clear difference surfaces between spontaneous production data and experimental data. Based on the spontaneous production data, we conclude that the four successive bilingual children behave like the monolingual children studied by Eisenbeiss, Bartke & Clahsen (2006). They rarely produce structural case errors and often produce lexical case errors. But under experimental conditions, successive bilingual and monolingual children produce a large number of structural case errors, in particular with structural dative. Our experimental findings from the monolingual children are in stark contrast to those in Eisenbeiss et al., which are based on spontaneous production data only.
Critical gameplay

How do games effect the way we problem solve, socialize, or even view the world? When we shoot do we learn to destroy obstacles instead of work around them? Does the binary world of enemies and adversaries teach us to ignore the gray in the everyday? Are we forgetting how to play with each other because playing against each other is more fun? Critical Gameplay is a collection of "strategically designed" video games. Each game asks what common game mechanics teach us. The four games in the collection are designed to help reevaluate our perspective on gameplay experiences. As Critical Cartography changes the way we perceive the world, Critical Gameplay seeks to offer alternate perspectives on the way we play. Critical Gameplay does not attempt to answer these questions. Instead it seeks to open the dialogue with demonstrative experiments in gameplay. It attempts to fill the space of what if, with something tangible - a game. What if that avatar did have a history before you destroyed it? What if you couldn't read the game world by stereotyping characters? Critical Gameplay is simply about raising questions that encourage critical reflection on gameplay experiences. A Critical Gameplay game is valued in intellectual profit.
Dynamic power management model to improve node energy efficiency in Ad Hoc network based on probabilistic model checking

In Ad Hoc network,mobile node is battery-operated and power-constrained.It is important to prolong the lifetime of battery and optimize energy efficiency.In this paper,dynamic power management model of mobile node was proposed based on energy-hungry components.A stochastic optimum control scheme was applied in this model to improve node energy efficiency.Discrete Time Markov Chains(DTMCs) of the model was presented by using probabilistic model checking technique.Compared with two familiar time out schemes belonging to predictive schemes by PRISM,the energy efficiency of this scheme is better as a whole.
Adaptive area location algorithm combining with packet lost rate and RSSI in wireless sensor networks

First, the shortcoming of existing location algorithm based on RSSI(received signal strength indication) in WSN(wireless sensor network) was analyzed.Then, supported by plenty of experimental data in different time and space, the distance evaluation model combining with packet lost rate and RSSI which aim at real environment and location algorithm based on this model was provided.It was regarded as a new kind of exploration for research of wireless location.Location experiments were used to evaluate the capability of this algorithm, which proves that WSN nodes running this algorithm can normally work and precision and stability are upper.
Disassembling Web Site Response Time

Web site latency can be measured by the response time to user requests. User perception of the responses is affected by psychological factors. This paper proposes a method which combines client-side measurement, server-side measurement, and active probing methods in order to measure response time for accessing a Web site as well as disassemble the time into the three constituents, namely transmission, processing/generation, and displaying/rendering. This paper also discusses some of the factors that contribute to delay in downloading Web pages.
Probabilistic Resilience in Hidden Markov Models

Originally defined in the context of ecological systems and environmental sciences, resilience has grown to be a property of major interest for the design and analysis of many other complex systems: resilient networks and robotics systems other the desirable capability of absorbing disruption and transforming in response to external shocks, while still providing the services they were designed for. Starting from an existing formalization of resilience for constraint-based systems, we develop a probabilistic framework based on hidden Markov models. In doing so, we introduce two new important features: stochastic evolution and partial observability. Using our framework, we formalize a methodology for the evaluation of probabilities associated with generic properties, we describe an efficient algorithm for the computation of its essential inference step, and show that its complexity is comparable to other state-of-the-art inference algorithms.
Optimized hardware framework of MLP with random hidden layers for classification applications

Multilayer Perceptron Networks with random hidden layers are very efficient at automatic feature extraction and offer significant performance improvements in the training process. They essentially employ large collection of fixed, random features, and are expedient for form-factor constrained embedded platforms. In this work, a reconfigurable and scalable architecture is proposed for the MLPs with random hidden layers with a customized building block based on CORDIC algorithm. The proposed architecture also exploits fixed point operations for area efficiency. The design is validated for classification on two different datasets. An accuracy of ~ 90% for MNIST dataset and 75% for gender classification on LFW dataset was observed. The hardware has 299 speed-up over the corresponding software realization.
Bio-inspired trajectory tracking algorithm for Dynamic Positioning ship with system uncertainties

To solve the speed jump and model uncertainties for Dynamic Positioning (DP) ships, a new bio-inspired trajectory tracking algorithm and an extended state observer (ESO) are presented in this paper. First, utilizing the smooth and bounded output characteristics of neural dynamics model, an intermediate virtual speed variable is introduced in the common dynamic surface control (DSC) to avoid speed jump. Then the backstepping technique is used to obtain the trajectory tracking control law. At last, an ESO is designed to compensate the system uncertainties dynamically. In our scheme, the effect of control in the horizontal plane can be achieved global asymptotically stable with strong robustness. Excessive force and moment caused by speed jump can also be avoided. Simulation results show correctness and validity of the algorithm.
Üniversite Öğrencilerinde Sosyal Yeterliğin Algılanan Sosyal Destek Açısından İncelenmesi

Sosyal yeterlik, bireyin sosyal iliski baslatmak va surdurmesi konusunda becerilerine ola inancidir. Sosyal yeterligi etkileyen degiskenlerin ortaya konmasi bu kavramin daha iyi anlasilmasini saglayacaktir. Bu arastirmanin amaci, universite ogrencilerinde sosyal yeterligin algilanan sosyal destek acisindan incelenmesidir. Arastirma grubunu 206 (%58.2.1) kadin, 148 (%41.8) erkek olmak uzere toplam 354 universite ogrencisi olusturmaktadir. Arastirmada ‘‘Sosyal Yeterlik ve Sosyal Sonuc Beklentileri Olcegi’’ ve ‘‘Cok Boyutlu Algilanan Sosyal Destek Olcegi’’ kullanilmistir. Arastirma verilerinin analizi icin Bagimsiz orneklem t-testi, Pearson korelasyon analizi ve coklu regresyon analizi kullanilmistir. Arastirmanin bulgularinda, universite ogrencilerinin cinsiyete gore sosyal yeterlik ve ozel insana yonelik sosyal destek algilarinin anlamli duzeyde farklilastigi, aile ve arkadasa yonelik sosyal destek algisinin anlamli duzeyde farklilasmadigi bulunmustur. Arastirmada sosyal yeterlik ile algilanan sosyal destek arasinda pozitif yonde anlamli duzeyde bir iliski bulunmustur. Ayrica, regresyon modelinde sosyal destek algisinin sosyal yeterligin toplam varyansinin yaklasik %32’sini acikladigi bulgulanmistir. Sonuc olarak universite ogrencilerinin sosyal destek algisi arttikca sosyal yeterlik duzeyi de artmaktadir.
Computing candidate keys of relational operators for optimizing rewrite-based provenance computation : key property module

Data provenance provides information about the origin of data, and has long attracted the attention of the database community. It has been proven to be essential for a wide range of use cases from debugging of data and queries to probabilistic databases. There exist diﬀerent techniques for computing the data provenance of a query. However, even sophisticated database optimizers are usually incapable of producing an eﬃcient execution plan for provenance computations because of their inherent complexity and unusual structure. In this work, I develop the key property module, as part of the heuristic optimization techniques for rewrite-based provenance systems to address this problem and present an implementation of this module in the GProM provenance middle-ware system. The key property stores the set of candidate keys for the output relation of a relational algebra operator. This property is important for evaluating the precondition of many heuristic rewrite rules applied by GProM, e.g., rules that reduce the number of duplicate removal operators in a query. To complete this work, I provide an experimental evaluation which conﬁrms that this property is extremely useful for improving the performance at game provenance.
A Classification Method for Imbalance Data Set Based on Hybrid Strategy

This paper presents a novel and effective classification method for imbalanced data sets.The core idea of the algo- rithrn,which is composed of three parts,is to provide a general solution for IDS classification by both sample preprocessing and clas- sifter improving.Firstly,we re-sample the imbalance data by using variable SOM clustering so as to overcome the flaws of the tradi- tional re-sampling methods,such as serious randomness,subjective interference and information loss.Then we cut down the sampled data sets according to the K-NN rule to solve the problem of data confusion,which improves the generalization of SVM.Especially, in order to adapt the class imbalance,the class boundary alignment is introduced through conformal transform on kernel function. The comparison results show the effectiveness of three algorithms.Meanwhile,the algorithm has also been used in our question an- swer system,which obtains outstanding result in the international TREC-2006 QA track.
An Entertaining Game-Like Learning Environment in a Virtual World for Education

This chapter explores the possibilities, benefits, and difficulties of developing game-like virtual environments for education. The goal of this paper is to review the background of game-like environment and impact of game-like environment on learning, discuss the differences on teacher-free and teacher-leading virtual learning environment, and provide examples of game-like environment in the virtual world for education. Finally, this chapter also provides suggestions to readers who would like to create game-like virtual environments for education.
FOL Learning for Knowledge Discovery in Documents

This chapter proposes the application of machine learning techniques, based on first-order logic as a representation language, to the real-world application domain of document processing. First, the tasks and problems involved in document processing are presented, along with the proto-typical system DOMINUS and its architecture, whose components are aimed at facing these issues. Then, a closer look is provided for the learning component of the system, and the two sub-systems that are in charge of performing supervised and unsupervised learning as a support to the system performance. Finally, some experiments are reported that assess the quality of the learning performance. This is intended to prove to researchers and practitioners of the field that first-order logic learning can be a viable solution to tackle the domain complexity, and to solve problems such as incremental evolution of the document repository.
Designing Business Processes With Patterns

This chapter contains sections titled: Introduction, Why we Use Patterns in Process Models, How we Use Patterns in Process Models, Patterns and the Model Matrix, Identifying Candidate Design Patterns, Choosing Appropriate Patterns, Adapting Patterns, Instantiating Patterns to Create New Models, Using Patterns to Suggest Information Components and Documents, Key Points in Chapter Ten
Distributed processing using cosine similarity for mapping Big Data in Hadoop

The analysis of big data is an issue that has become very important in recent years. The use of algorithms for processing big data that have generated as a result valuable information to organizations can be considered one of the biggest developments and most important lines of work today. This paper aims to show results in implementing cosine similarity for mapping big data in a flat database. For this purpose the information from movie ratings will be used, so it will result in a recommendation of a movie highly related to another. If the information used for testing is considered real, these results could be useful for the development of a recommendation system for products and services from an organization which has as well the records of their customers' ratings.
Struts Design and Programming: A Tutorial

Struts is the most popular framework for building scalable Java Web applications. The first part of this book explains the latest version of Struts and teaches how to build real-world Struts applications. The second part goes the extra mile to discuss how to design Struts applications and solve common problems in Struts development. It's like two books at the price of one.More importantly, this book is a tutorial designed to make the reader truly understand the concepts. It explains not only how to use Struts' features, but also how a certain feature works under the hood and which to choose if similar features exist. Examples are relevant and based on real-world applications. Several important topics rarely mentioned in other bookssuch as file upload, paging, object cachingare given detailed treatment.The first part is for beginners and Struts developers who don't feel they have a complete grasp of Struts. It explains the following and many more:- The Model-View-Controller design pattern- Action forms- User input validation- The Validator Plug-in- JavaServer Pages Standard Tag Library (JSTL)- The JSP 2.0 Expression Language (EL)- HTML, Bean, Logic, Nested Tag Libraries- Application configuration- The Custom SelectLabel Tag- Tiles - Message handling and internationalization- Struts-JSF Plug-in- The open source DisplayTag Library- File upload and programmable file download- Jakarta Commons BeanUtil ClassIn addition, this book deals with many design topics such as- Data persistence- Transfer objects- Configuration information sharing- Object caching- Application security- Paging and sorting- HttpServletRequest wrapping- Early session invalidationThe last chapter, "How Struts Works", dissects Struts' source code and explains the components that together make Struts tick. This chapter is particularly interesting to readers who want to know how Struts works in the background and how to extend Struts. Understanding it helps you design and develop more effective Struts applications.This book is for you if you need one written with clarity and readability in mind.
Metric parameters of diffusion in destructive fillers automated networks

In this paper, a deep analysis was carried out and a classification of potentially destructive content and hazard metrics was obtained in an automated social network such as Instagram. The dependence effectiveness distribution of destructive content on the structural and functional specificity of a social network is determined. The classification of destructive content done in the Instagram social network allows us to determine the dependence popularity of various types destructive content on various parameters. The revealed dependence efficiency of the distribution of destructive content on the structural and functional specificity of a social network allows to design and implement the most effective organizational and technical measures to counteract the distribution of destructive content. Based on the above work, the owner of the automated network has the ability to influence the value of the network risk parameters in the context of the implementation of content wars.
Software Development Techniques for Constructive Information Systems

This chapter discusses the software engineering lifecycle, history, and software architecture as well as the foundation of Information Engineering and Information Systems. The first part of this chapter discusses the software lifecycle phases and how to make effective use of various technical methods by applying effective technical and other efficient methods at the right time. This chapter also shows the technical similarities between software database design and Information System’s database design. In the second part of this chapter, the author introduces the information engineering life cycle and discusses the key phrases for information engineering as well as Information System. In fact, this part is a good dictionary of information and software engineering. This chapter provides guidance for decision-makers in selecting an appropriate Information System strategy that contributes to the achievement of information engineering sustainability targets and leverages competitiveness. DOI: 10.4018/978-1-4666-3679-8.ch011
The Sensorimotor Bases of Linguistic Structure: Experiments with Grounded Adaptive Agents

This research uses grounded adaptive agents for investigating the evolutionary origins of syntactic categories, such as nouns and verbs. To analyze the sensorimotor bases of linguistic structure, the techniques of categorical perception and of synthetic brain imaging are employed. The simulation uses two different architectures for the adaptive agent's neural controller. Analyses show that the neural processing of verbs is consistently localized in the regions of the networks that perform sensorimotor integration, while nouns are associated with sensory processing areas. The general implications of such model and of the analysis techniques for adaptive behavior and language evolution research are discussed.
Towards a face recognition system : face detection, face registration, and head pose estimation

Generally, solutions of face recognition system involve a series of computer vision topics with configurations and connections according to various requirements and emphases. In this dissertation, towards a face recognition system with no cooperation of human beings, face detection, face registration, and head pose estimation are fully and in-depth investigated, especially in the direction of being implemented as practical applications. It is with the aim to free these applications from the flaws in terms of accuracy, robustness, and efficiency that novel algorithms are proposed. Given any 2D image as input, the target of the face detection work is to determine face location and corresponding face extent as output, which is not only applicable to frontal and upright face view. Hence, a face detection system with embedded Statistic-based Subspace Analysis (SSA) is proposed for multi-view face detection, which is composed of four functional modules, preprocessing, coarse face detector, fine face detector, and postprocessing. The SSA method leads to an algorithm constructed by a hybrid subspace feature and a statistic-based discriminant function; the former uses local representation to reduce the sensitivity to image variances and describes characteristics comprehensively with the aid of multiple subspace features, while the latter determines final class label with the collections from all the statistic projections. For accuracy, the system is strengthened by two kinds of progressive structures; the vertical structure distinguishes face from false alarm by using the fine Nanyang Technological University Singapore
Research on Information Security Discipline

This paper discusses the system of information security discipline.Firstly,the content of information security discipline is defined.The information security is a new branch of learning,which studies information obtaining,information storing,information transmitting,and information processing on information security ensuring.Secondly,the paper discusses theoretical basis of information security subjects in detail from mathematics,information theory,system theory,control theory,and theory of computation,etc.Thirdly,the methodology and present main research contents of information security subjects are expounded.Basing on this,the paper points out that information security discipline has been an independent subject and any present discipline can not contain it.China has formed a whole system of information security discipline.Hence,our country should rationalize the management on information security subject and enhance the subject building and personnel training of it in order to ensure China's information security.