Miracle-dz/UniFAR-FTUs huggingface dataset:
Advanced Data Acquisition and Intelligent Data Processing

DAQ and data processing is a basic part of all automated production systems, diagnostic systems, watching over quality of production, energy distribution, transport control or in various other areas. Demands on the speed, accuracy and reliability increase in general. It is possible to achieve not only using superior (but also more expensive) hardware, but also applying advanced data acquisition and intelligent data processing. It deals e.g. optimal data fusion of a number of sensors, new stochastic methods for accuracy increasing, new algorithms for acceleration of data processing, etc. These are the grounds for publishing this book. Advanced Data Acquisition and Intelligent Data Processing offers 10 up-to-date examples of different applications of advanced data acquisition and intelligent data processing used in monitoring, measuring and diagnostics systems. The book arose based on the most interesting papers from this area published at IDAACS? 2013 conference. However, the indivudual chapters include not only designed solution in wider context but also relevant theoretical parts, achieved results and possible future ways. Technical topics discussed in this book include: advanced methods of data acquisition in application that are not routine; measured data fusion using up-to-date advanced data processing; nonlinear dynamical systems identification; multidimensional image processing. Advanced Data Acquisition and Intelligent Data Processing is ideal for personnel of firms deals with advanced instrumentation, energy consumption monitoring, environment monitoring, non-descructive diagnostics robotics, etc., as well as academic staff and postgraduate students in electrical, control and computer engineering.
Implementation and Applications of Logarithmic Signal Processing on an FPGA

This thesis presents two novel algorithms for converting a normalised binary floating point number into a binary logarithmic number with the single-precision of a floating point number. The thesis highlights the importance of logarithmic number systems in real-time DSP applications. A real-time cross-correlation application where logarithmic signal processing is used to simplify the complex computation is presented. The first algorithm presented in this thesis comprises two stages. A piecewise linear approximation to the original logarithmic curve is performed in the first stage and a scaled-down normalised error curve is stored in the second stage. The algorithm requires less than 20 kbits of ROM and a maximum of three small multipliers. The architecture is implemented on Xilinx's Spartan3 and Spartan6 FPGA family. Synthesis results confirm that the algorithm operates at a frequency of 42.3 MHz on a Spartan3 device and 127.8 MHz on a Spartan6. Both solutions have a pipeline latency of two clocks. The operating speed increases to 71.4 MHz and 160 MHz respectively when the pipeline latencies increase to eight clocks. The proposed algorithm is further improved by using a PWL (Piece-Wise Linear) approximation of the transform curve combined with a PWL approximation of a scaled version of the normalized segment error. A hardware approach for reducing the memory with additional XOR gates in the second stage is also presented. The architecture presented uses just one 18k bit Block RAM (BRAM) and synthesis results indicate operating frequencies of 93 and 110 MHz when implemented on the Xilinx Spartan3 and Spartan6 devices respectively. Finally a novel prototype of an FPGA-based four channel correlation velocimetry system is presented. The system operates at a higher sampling frquency than previous published work and outputs the new result after every new sample it receives. The system works at a sampling frequency of 195.31 kHz and a sample resolution of 12 bits. The prototype system calculates a delay in a range of 0 to 2.6 ms with a resolution of 5.12 us.
Q-Learning Based Mobile robot behaviors Coordination

This paper shows how Q-learning approach can be used in a successful way to deal with the problem of mobile robot navigation. In real situations where a large number of obstacles are involved, normal Q-learning approach would encounter two major problems due to excessively large state space. First, learning the Qvalues in tabular form may be infeasible because of the excessive amount of memory needed to store the table. Second, rewards in the state space may be so sparse that with random exploration they will only be discovered extremely slowly. In this paper, we propose a navigation approach for mobile robot, in which the prior knowledge is used within Q-learning. We address the issue of individual behavior design using fuzzy logic. The strategy of behaviors based navigation reduces the complexity of the navigation problem by dividing them in small actions easier for design and implementation. The Q-Learning algorithm is applied to coordinate between these behaviors, which make a great reduction in learning convergence times. Simulation and experimental results confirm the convergence to the desired results in terms of saved time and computational resources.
Automatic Builds of Large Software Repositories

A large number of open source projects are hosted on the Internet by popular repository sites like GitHub, SourceForge, BitBucket, etc. These repositories are becoming more popular and growing in size. There are many research projects that mine these software repositories for valuable information.Compiling the projects found in these repositories can help lter out the good, and usableprojects. It gives us a guarantee that the source code is syntactically correct, and thatall the dependencies of the project are either self contained or accessible on the Internet.Projects can be maintained and organized in dierent ways depending on the developer culture and practice. Unfortunately, very often repositories fail to capture the environmental assumptions made by the developers such as build tools, versions, presence of external dependencies, etc. This heterogeneous nature of the projects makes the successful compilation of large numbers of projects a challenging task as one solution cannot be applied to all. It is impractical to manually correct the compilation of every project. We designed several heuristics to maximize the number of projects compiling successfully in a repository.Sourcerer is an infrastructure for large-scale collection and analysis of open-source code. It crawls open-source Java projects from various sources on the Internet and builds an aggregated repository, and database. We used the information found in the database to automatically compile more than 55,000 Java projects in the Sourcerer repository. We propose several general, language independent heuristics to tackle the most common errors.Using these heuristics, we were capable of building 33.18% of the projects in the repository, successfully building more than 18,000 Java projects.
An approach to software analysis and design based on distributed components for intelligent transportation systems (ITS)

Recently, over 50 percent of software is being developed based on distributed application platforms. Technologies such as COM, CORBA, and EJB have been advanced for distributed component-based software development to support reuse of distributed and heterogeneous services. Distributed component-based software is said to be composed of separate components that can be deployed on the network in a wide variety of physical configurations. However, most component-based software development methods fail to provide systematic and concrete guidelines sufficiently as well as to maintain the consistency among artifacts of each task. Also, it is hard to develop reusable components in a distributed environment practically because the existing methods emphasize only reusability without considering distribution issues. In this thesis, we present an approach to analyze and design software based on distributed components. In this approach, we propose guidelines for developing artifacts of each task and forming relationships among them based on a unified process. In addition, the distribution issues such as performance, fault tolerance, security, and distributed transaction are considered explicitly using CORBA environments.
GPU-based Low-latency DXT Compression and Transport for 4K Ultra-high-definition Media Sharing

The importance of method of capture, processing, and transport for real-time ultra-high definition (UHD) media is increased. In addition, media compression is required for efficient networking because it need 6Gbps bandwidth for transmission of uncompressed 4K media. DXT is a compression technique that is software based lightweight media encoding scheme and easy to apply PC-based media compression with GPU accelerated decompression. However, it is hard to real-time media compression of ultra-high resolution media using CPU only. In this paper, we propose techniques to improve real-time features of low-latency DXT compression using GPU-based parallel processing with Computer Unified Device Architecture (CUDA).
A software architecture-based testing technique

This dissertation defines a formal technique to test software systems at the architectural level, particularly software systems developed using software Architecture Description Languages (ADL). There is a lack of formally defined testing techniques at the architecture level. Formalized software architecture description languages provide a significant opportunity for testing because they precisely describe how the software should behave in high level view, and they can be used by automated tools. The basic theme in this dissertation is that many system architectural problems can be addressed through architecture relations, which are the paths through which architectural components communicate with each other. This dissertation presents a practical, effective, and automatable technique for testing architecture relations at the architecture level. This dissertation also presents a proof-of-concept tool to generate test requirements. An empirical evaluation is carried out to measure the fault finding effectiveness of the architecture-based testing criteria. Results show that this technique is effective at finding faults at the architecture level.
Book Review: Creating the Virtual Classroom: Distance Learning with the Internet

Consider that at the end of the twentieth century, the world has become electronically connected. Then distance learning, according to Lynnette Porter, is the key to education and training in this global environment, encompassing both the theoretical and the practical application of information retrieval. By utilizing a variety of different technologies, and new ways of teaching based upon interactive instructional methods, “distance learning offers several alternatives to our traditional concepts of learning, but more importantly, it has the potential to excite and enrich all of us as learners and educators” (22). Distance learning requires a conceptual shift in educational pedagogy. Porter discusses the structural challenges presented by a virtual learning environment. All participants, from students to instructors and service vendors should have a clear understanding of the nature of the informational transaction they are engaged in. The different types of distance learning courses, from the original correspondence mail to e-mail and web site interaction, to audio and visual recordings, cable television and interactive conferencing need to be considered along with the suitability of distance learning content. Porter presents each example as an integral component in a reconceptualized learning environment, based upon an assumption that technology and distance learning are beneficial to education and training. Any instructor creating a virtual classroom should consider how technology relates to education and training; how teaching can be accomplished more effectively with technology; and, perhaps most importantly, how can a distance learning course better serve users’ needs? Distance learning is an important subject despite controversy in this country over its possible impact on tenure and downsizing of faculty, neither of which I believe are sustainable arguments. My reservation about the importance of distance learning, perhaps due to the manner of its presentation in this work, is the lack of serious consideration given to the continued role of books and primary documents both maintained and distributed by libraries. As a librarian trained
A constructive approach to hybrid architectures for machine learning

Classification systems in artificial intelligence are primarily based on the concepts of knowledge extraction from sample data (machine learning) and of representing existing human knowledge in machine-interpretable form (expert systems). Current neural network approaches provide for machine learning, but require significant human interaction in the design of the neural architecture. If the architecture is too small, it is unable to learn the problem. If it is too large, the architecture may overfit the sample data resulting in poor generalization. A constructive neural network algorithm builds a problem-specific architecture as well as learning the problem at hand. Here, a new constructive parallel learning algorithm is proposed. The algorithm consists of three phases: search through examples for points near the decision boundary; generation of a pool of candidate hyperplanes for boundary approximation; and selection of the separating hyperplanes from the candidate pool. The form of the final architecture is specified by the cardinality of the selected set of hyperplanes, where each individual hyperplane determines connection strengths for one hidden unit of the constructed network. The pre-existing knowledge contained in an expert system may be integrated into a hybrid architecture by directly embedding the expert system into the neural network. With a hybrid architecture, a better initial hypothesis may be formed from which hidden units may be constructively added by learning from examples to efficiently extend the initial architecture. A hybrid system is obtained in which pre-existing knowledge is complemented by the knowledge obtained from the sample data.
GENETIC ALGORITHMS WITH DIVERSITY MEASURES TO BUILD CLASSIFIER SYSTEMS

The combination of classifiers is an active research area of the machine learning and pattern recognition communities. Many t heoretical and empirical studies have been published demonstrating the advantages of the paradigm of combination of classifiers over the individual classifiers. When combining classifiers it is important to guarantee the diversity among them [16]. Some statistical measures can be used to estimate how diverse the ensembles of classifiers are, they are called diversity measures. On the other hand the number of individual classifiers are very big and just a litter group of classifiers can be generated a large number of combinations, so emerge the idea to use one of the meta-heuristics: the genetic algorithms (gas). Genetic algorithms play a significant role as search technique for handling complex spaces in many fields. They are based on the underlying genetic process in biological organisms and on the natural evolution principles of populations. These algorithms process a population of chromosomes, which represent search space solutions, with three operations: selection, crossover and mutation. In this paper some diversity measures are presented and one modulation of genetic algorithm using diversity measures is enunciated and implemented in order to obtain, from all possible combinations of a large number of base classifiers, a combination that ensures greater diversity among the chosen classifiers and the best accuracy in multi classifier system. We also present and discuss the results of applying the implemented system in two fields of application. Finally, the general conclusions are exposed.
My Choice: Women’s Contraceptive-Use Autonomy in Bangladesh

ABSTRACT Using a nationally representative household survey for two cohorts of married women, this study examines women’s contraceptive-use autonomy (CUA) incidence and correlates in Bangladesh, focusing on the role of education. Previous research has examined the incidence and correlates of contraceptive use and of several dimensions of female autonomy but only rarely the intersection of the two – that is, CUA. This study finds that women from the younger cohort are far more likely to have complete autonomy over contraceptive use than women from the older cohort. Detailed decompositions reveal that the improvement in education across cohorts is the main correlate of the improved generational CUA gap. Health knowledge, especially knowledge that the use of condoms can help avoid contracting HIV/AIDS, is part of the transmission mechanism between women’s education and women’s CUA but also exerts an additional influence on CUA.
Comovement between the Chinese Business Cycle and Financial Volatility: Based on a DCC-MIDAS Model

ABSTRACT In this paper, we investigate the comovement between the Chinese business cycle and financial variables from 1994 to 2017 using a dynamic conditional correlation-mixed data sample (DCC-MIDAS) model. We analyze the relation and contagion between the business cycle and financial volatility and then construct a DCC-MIDAS model to capture the dynamic relation between the business cycle and financial volatility. Then, we carry out an empirical analysis, finding comovement in the relation and contagion between the Chinese business cycle and financial volatility. Short-term shocks can influence both long-term relations and variations in the correlation coefficients with a lag. An accumulation of short-term shocks can be transformed into a long-term tendency, which explains the dynamically related long-term effect. Constructing this model with high-frequency data captures more information than using low-frequency data, which reveals more profound patterns in the comovement between the business cycle and financial volatility.
THE IMPACT OF MIGRATION ON THE WAGE DISTRIBUTION IN INDONESIA

Research on the impact of migration on workers' wages in destination areas has long been debated in the literature. However, studies that link migration to wage rates in different percentiles along the distribution have not been widely implemented, as migration does not have the same impact on wage levels in all groups of workers. By establishing a counterfactual using the semi-parametric DFL method of National Labor Force Survey data, this study found that migration promotes changes in the distribution of wages, especially in the upper and lower percentiles. After controlling the magnitude of in-migration in each percentile group by using the ordinary least square method, this study also proves that migration leads to wage decreasing in percentile groups where migrant workers are overrepresented, which is in the 75th and 90th percentile groups. Meanwhile, no negative impacts were found on wage levels in the lower middle percentile. In fact, migration has proven to encourage an increase in the average wage of workers in the lowest percentile of the distribution.JEL Classification: J01, J11, J61Keywords: counterfactual, migration, wage distribution
The Uses Of Argument

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Book Review: The Poverty of Territorialism. A Neo-Medieval View of Europe and European Planning

In his recent book1, Faludi − one of the most innovative and non-schematic contemporary researchers and observers of the European spatial realm – summarises and shares his experience on key issues related to space, and the latter’s role and significance in governance in the European context. At first glance, this book might appear to be a routine task for a scholar of such calibre, but it is far from a typical scientific resume. On the contrary, this book is a breathtaking read, full of smart anecdotes and unexpected real-life examples that greatly illustrate the author’s thinking, rich with historical parallels and universal parabolas. Each page and chapter speaks to the reader and contains such passion and strength that one might very well gain the impression of participating in a real-time personal chat with the author. Of course, this is on purpose. Through this dynamic and seemingly interactive narrative style, Faludi tries to convey significant information regarding space, as well as the future of the European project itself. He looks ahead into the coming decades, identifies potential key frictions and inconsistencies and horns a warning bell, challenging, not only our stereotypes, but also several crucial axioms underpinning the spatial sciences. And who, if not Faludi, has the right and intellectual capacity to do that? Born in Hungary, brought up in Austria, sharing his professional life between universities in the UK and the Netherlands, Faludi belongs to the new category of global citizens who identify themselves more with ideas and issues than with the territory or power of nation-states. He is quite aware of his uniqueness in this regard (Faludi 2010: IX-XI), being part of a “roving band of planners”, who put an immense amount of effort into the progression of European-type thinking and Europeanisation. As a propagator of a European Model of Society (Faludi 2007), as formulated by Jacques Delors and others, Faludi is aware of the key informal mechanisms and syndromes constituting and sustaining the EU as a mental process. His main message in the present book can be sum-
Urban tourism: a systems approach – state of the art

PurposeThe purpose of this paper is to explore the extent of the urban tourism literature that uses the systems approach to outline its research trajectory and detect its trends. Urban tourism is a complex phenomenon whose complexity increases at the very moment it interacts with complex environments. To deal with this kind of issues, urban tourism-related authors have used different approaches, with the systems approach being one of the best alternatives for its understanding and study.Design/methodology/approachA systematic literature review was conducted using two sets of keywords related to urban tourism and systems approach. Scopus, ScienceDirect and Web of Science databases were used for the peer-reviewed literature search. After filtering processes were applied, 29 publications were retained for the analysis.FindingsThis paper provides a significant overview of the existing publications regarding this topic. A theme of common interest and trends for future investigations were detected. Based on the findings, future works to be developed with the use of the systems approach, and its tools are proposed.Originality/valueThis review gives promising evidence on that the use of the systems approach for future urban tourism studies is a viable alternative to the application of other dominant approaches, to manage the complexity, diversity and dynamism of the urban tourism and of its environment, which is nowadays addressed as Smart. Then, the paper seeks to foster the use of systems approach and its systemic tools for the understanding and study of urban tourism as a complex system.