Miracle-dz/UniFAR-FTUs huggingface dataset:
Research of Noise Reduction Algorithm Based on Real Time

This Paper Mainly Summarized the Filtering Effect of Modified LMS Algorithms. Modified LMS Algorithms could Deal with the Noisy Speech at Real Time by Using the Correlated Property of Useful Signal and Uncorrelated Property of Noise to Strengthen the Relevant Part and Weaken the Irrelevant Part. the Modified Algorithms could be Compared by the SNR (Signal Noise Ratio) of Output Signal, MSE (Mean Square Error) and Misalignment with the Help of MATLAB Simulation so that the Advantages and Disadvantages of each Algorithm can be Summed up. Finally, in Order to get Faster Processing Speed, a New Idea that Combined the Modified LMS Algorithms with RNS (Residue Number System) was Proposed. the Combined System could Process the Signal in Parallel Instead of Serial so that Greatly Improved the Processing Speed and Guaranteed the Effectiveness of Real Time Processing.
Automatic recognition of standard views in ultrasound images of the heart

With medical imaging, clinicians are given new opportunities in inspection of anatomical structures, surgical planning and diagnosing. Computer vision is often used with the aim of automating these processes. Ultrasound imaging is one of the most popular medical imaging modalities. The equipment is portable and relatively inexpensive, the procedure is non-invasive and there are few known side effects. But the acquisition of ultrasound images, for instance of the heart, is not a trivial job for the inexperienced. Five classes of standard images, or standard views, have been developed to ensure acceptable quality of ultrasound heart images. Automatic recognition of these standard views, or classification, would be a good starting point for an Ultrasound for dummies project. Recently, a new class of object recognition methods has emerged. These methods are based on matching of local features. Image content is transformed into local feature coordinates, which are ideally invariant to translation, rotation, scaling and other image parameters. In [21], David Lowe proposes the Scale Invariant Feature Transform (SIFT), which is a method for extracting distinctive invariant features from an image. He also suggests a method for using these features to recognize different images of the same object. In this thesis I suggest using the SIFT features to classify heart view images. The invariance requirements to a standard heart view recognition system are special. Therefore, in addition to using Lowes algorithm for feature extraction, a new matching algorithm specialized at the heart view classification task is proposed.
Optimal admission control in circuit-switched multihop radio networks

Admission control in circuit-switched multihop radio networks is addressed. The problem formulation is based on the multiple service, multiple resource (MSMR) model developed by S. Jordan and P. Varaiya (1991). A recursive procedure is used to evaluate the performance associated with different coordinate convex policies, coupled with a descent-search technique for performance optimization. Empirical evidence supports the conjecture that throughput and blocking probability are unimodal functions of the admission-control policy. The major observation is that the exercise of admission control achieves minimal performance improvement as long as all call types are weighted equally. However, it has been shown that admission control is useful in cases of unequally weighted call types. <<ETX>>
Improving a data-acquisition software system with abstract data type components

Abstract data types and object-oriented design are active research areas in computer science and software engineering. Much of the interest is aimed at new software development. Abstract data type packages developed for a discontinued software project were used to improve a real-time data-acquisition system under maintenance. The result saved effort and contributed to a significant improvement in the performance, maintainability, and reliability of the Goldstone Solar System Radar Data Acquisition System.
WESPOT: Inquiry based learning meets learning analytics

weSPOT 1is a new project supported by the European Commission launching on 1st of October 2012. weSPOT aims at propagating scientific inquiry as the approach for science learning and teaching in combination with today’s curricula and teaching practices. It lowers the threshold for linking everyday life with science teaching in schools by technology. weSPOT supports the meaningful contextualization of scientific concepts by relating them to personal curiosity, experiences, and reasoning. weSPOT addresses several challenges in the area of science learning and technology support for building personal conceptual knowledge. The project focuses on inquiry-based learning with a theoretically sound and technology supported personal inquiry approach. In inquiry based-learning learners take the role of an explorer and scientist and are motivated by their personal curiosity, guided by self-reflection, and develop knowledge personal and collaborative sense-making and reasoning. weSPOT will work on a meta-inquiry level in that it will (a) define a reference model for inquiry-based learning skills, (b) create a diagnostic instrument for measuring inquiry skills, and (c) implement a working environment that allows the easy linking of inquiry activities with school curricula and legacy systems.
Tools and Techniques for Building Fast Portable Threads Packages

Threads are units of concurrent execution that can be viewed as abstract data types (ADTs) with operations to initialize and run them. It is common to improve performance by hard-coding allocation and scheduling policies, but that has led to the development of many threads packages, each with policies tuned for a particular set of applications. Further, the machine-dependence of threads packages restricts the availability of applications built on top of them. This paper examines techniques for building threads packages and discusses tradeoffs between performance, flexibility, and portability. It then introduces QuickThreads, a simple threads toolkit with a portable interface. This paper shows how QuickThreads can be used to implement a basic uniprocessor threads package and discusses the implementation of portable threads packages tuned to the needs of particular applications. For example, QuickThreads can be used to build barrier synchronization that runs in O(lg2 processors) time units instead of the traditional O(lg2 threads). This paper also reports on the performance and implementation of QuickThreads and describes some experiences using it to reimplement and port existing multiprocessor threads packages.
Magnetic Variables Control

The sections in this article are 1 Mathematical Modeling of an Induction Machine 2 Principles of Vector Control of Induction Machines 3 Parameter Variation Effects in Rotor Flux Oriented Induction Machines 4 Compensation of Parameter Variation Effects 5 Optimal Efficiency Control 6 Speed-Sensorless Control 7 Trends in Vector Control of Induction Machines
Antecedents and consequences of job satifaction among information center employees

The determinants and consequences of job satisfaction for Information Center (IC) personnel have received very little attention, despite their importance to the successful implementation and use of computer technology in organizations. This study explores the antecedents and consequences of job satisfaction for IC employees. Five components of job satisfaction--work, supervision, coworkers, pay, and promotion--were examined besides overall job satisfaction. Two stress variables--role ambiguity and role conflict--were considered as antecedents to satisfaction. Organizational commitment and intention to leave the organization were considered as outcomes from job satisfaction. The study also assessed the importance of personal characteristics as moderating variables to the relationship between the two role stressors and job satisfaction. Results show that role ambiguity was the most dysfunctional variable for IC employees in relation to job satisfaction. Organizational tenure was found to moderate the relationships between role stressors and overall job satisfaction, and some of its components. In addition, the relationship between role ambiguity and some components of job satisfaction were found to be education- and age-dependent. Results also confirmed the importance of job satisfaction in predicting organizational commitment and intention to leave. Implications for IC management and future research are discussed.
Diffusion of Innovation Theory and the Problem of Context for Inter-Organizational Information Systems: The Example of Feral Information Systems

This chapter argues that diffusion theory models like the technology acceptance model (TAM) need to be rethought of in light of contextual factors that are becoming increasingly important in modern interorganisational settings. This is due to the growing complexity of organizations with respect to different organisational types, contexts, and political structures that have been shown in research literature to hinder information systems acceptance. The chapter looks at possible contextual factors that are ignored by TAM by critiquing its parent diffusion theory (diffusion of innovations). This approach was considered best as there are many variations of TAM, but the diffusion of innovations (DOI) theory underlies all these variations. The chapter also recommends a way forward for research into inter-organisational information systems by examining an example situation of Feral Information Systems (FIS) to illustrate the problem. The chapter concludes with a discussion about future research directions.
Querying and managing opm-compliant scientific workflow provenance

Provenance, the metadata that records the derivation history of scientific results, is important in scientific workflows to interpret, validate, and analyze the result of scientific computing. Recently, to promote and facilitate interoperability among heterogeneous provenance systems, the Open Provenance Model (OPM) has been proposed and has played an important role in the community. In this dissertation, to efficiently query and manage OPM-compliant provenance, we first propose a provenance collection framework that collects both prospective provenance, which captures an abstract workflow specification as a recipe for future data derivation and retrospective provenance, which captures past workflow execution and data derivation information. We then propose a relational database-based provenance system, called OPMPROV that stores, reasons, and queries prospective and retrospective provenance, which is OPM-compliant provenance. We finally propose OPQL, an OPM-level provenance query language, that is directly defined over the OPM model. An OPQL query takes an OPM graph as input and produces an OPM graph as output; therefore, OPQL queries are not tightly coupled to the underlying provenance storage strategies. Our provenance store, provenance collection framework, and provenance query language feature the native support of the OPM model.
Working Memory and Severe Learning Difficulties

Severe Learning Difficulties: History, Definitions and Terminology. Working Memory: Structure and Function. Working Memory Development, Cognitive Development and Learning Difficulties. Memory Span Development in Severe Learning Difficulties. The Articulatory Loop in Severe Learning Difficulties. Improving Memory Span in Severe Learning Difficulties. Working Memory and Severe Learning Difficulties: A Synthesis.
An Australasian study of reading and comprehension skills in novice programmers, using the bloom and SOLO taxonomies

In this paper we report on a multiinstitutional investigation into the reading and comprehension skills of novice programmers. This work extends previous studies (Lister 2004, McCracken 2001) by developing a question set within two key pedagogical frameworks: the Bloom and SOLO taxonomies. From this framework of analysis some interesting emergent patterns relating the cognitive level of the questions to student performance have been identified.
What Corpora Can Offer in Language Teaching and Learning

The corpus-based approach to linguistics and language education has gained prominence over the past four decades, particularly since the mid-1980s. This is because corpus analysis can be illuminating “in virtually all branches of linguistics or language learning” (Leech, 1997, p. 9; cf. also Biber, Conrad & Reppen, 1998, p. 11). One of the strengths of corpus data lies in its empirical nature, which pools together the intuitions of a great number of speakers and makes linguistic analysis more objective (McEnery & Wilson, 2001, p. 103). Unsurprisingly, corpora have been used extensively in nearly all branches of linguistics including, for example, lexicographic and lexical studies, grammatical studies, language variation studies, contrastive and translation studies, diachronic studies, semantics, pragmatics, stylistics, sociolinguistics, discourse analysis, forensic linguistics and language pedagogy. Corpora have passed into general usage in linguistics in spite of the fact that they still occasionally attract hostile criticism (e.g. Widdowson, 1990, 2000). The early 1990s saw an increasing interest in applying the findings of corpus-based research to language pedagogy. The upsurge of interest is evidenced by the eight well-received biennial international conferences on Teaching and Language Corpora (TaLC) held in Lancaster, Oxford, Graz, Bertinoro, Granada, Paris and Lisbon. This is also apparent when one looks at the published literature. In addition to a large number of journal articles, at least twenty-five authored or edited volumes have recently been produced on the topic of teaching and language corpora: Wichmann, Fligelstone, McEnery and Knowles (1997), Partington (1998), Bernardini (2000), Burnard and McEnery (2000), Kettemann and Marko (2002, 2006), Aston (2001), Ghadessy, Henry and Roseberry (2001), Hunston (2002), Granger, Hung and Petch-Tyson (2002), Connor and Upton (2002), Tan (2002), Sinclair (2003, 2004), Aston, Bernardini and Stewart (2004), Mishan (2005), Nesselhauf (2005), Romer (2005), Braun, Kohn and Mukherjee (2006), Gavioli (2006), Scott and Tribble (2006), Hidalgo, Quereda and Santana (2007), O’Keeffe, McCarthy and Carter (2007), Aijmer (2009) and Campoy, Gea-valor and Belles-Fortuno (2010). These works cover a wide range of issues related to using corpora in language pedagogy, e.g. corpus-based language descriptions, corpus analysis in the classroom and learner corpus research (cf. Keck, 2004). In the opening chapter of Teaching and Language Corpora (Wichmann et al., 1997), Leech (1997) observed that a convergence between teaching and language corpora was apparent. That
The essence of leadership : the four keys to leading successfully

chapter 1 Foreword chapter 2 Preface chapter 3 The Nature of Leadership chapter 4 Leadership Motives and Traits chapter 5 Knowledge, Skills, and Ability chapter 6 Vision chapter 7 Implementation of the Vision chapter 8 A Case Study chapter 9 References chapter 10 Index chapter 11 About the Author
Fully constrained least-squares based linear unmixing [hyperspectral image classification]

A fully constrained least-squares linear unmixing approach to hyperspectral image classification is presented. It is derived from an unconstrained least-squares based orthogonal subspace projection. It is similar to a method developed by Shimabukuro and Smith (1991) in the least-squares sense, but significantly different from their method in the way of implementing the constraints. Since there is no closed form solution available, an efficient algorithm is developed for finding a fully constrained solution, which can be viewed as a generalization of Shimabukuro and Smith's method. The effectiveness of this algorithm is demonstrated through computer simulations and real data experiments.
Comparative study of source–drain contact metals for amorphous InGaZnO thin‐film transistors

In this work, we compared the thin‐film transistor (TFT) characteristics of amorphous InGaZnO TFTs with six different source–drain (S/D) metals (MoCr, TiW, Ni, Mo, Al, and Ti/Au) fabricated in bottom‐gate bottom‐contact (BGBC) and bottom‐gate top‐contact (BGTC) configurations. In the BGTC configuration, nearly every metal can be injected nicely into the a‐IGZO leading to nice TFT characteristics; however, in the BGBC configuration, only Ti/Au is injected nicely and shows comparable TFT characteristics. We attribute this to the metal‐containing deposits in the channel and the contact oxidation during a‐IGZO layer sputtering in the presence of S/D metal. In bias‐stress stability, TFTs with Ti/Au S/D metal showed good results in both configurations; however, in the BGTC configuration, not all the TFTs showed as good bias results as Ti/Au S/D metal TFTs. We attribute this to backchannel interface change, which happened because of the metal‐containing deposits at the backchannel during the final the SiO2 passivation.
Ambiguity resolution in natural language understanding, active vision, memory retrieval, and robot reasoning and actuation

A cognitive robot is being designed to be utilized in four research projects studying the resolution of ambiguity in human and robotic systems: in natural language understanding systems, carried out in the Sentence Processing laboratory; in active vision systems, carried out in the Computer and Robot Vision laboratory; in memory retrieval systems, carried out in the Cognitive Science laboratory; and in robot reasoning and actuation, carried out in the Artificial Intelligence and Robotics Laboratories. The goal is to integrate these projects through the use of a cognitive robot which would allow ambiguity resolution in each of these research areas to be enhanced by the resolution capabilities of the other areas.
Investigation of Across-layer Modification to the DSR Routing Protocol in Wireless Mesh Networks

This work introduces a cross-layer modification to the DSR protocol that increases the global throughput in wireless mesh networks. In our modified DSR protocol we have introduced the Access Efficiency metric as an alternative to the hop-count metric in order to improve the route selection mechanism. The selected path in the route selection mechanism is identified by choosing the path with the highest minimum Access Efficiency value. We have employed the OPNET modeller as a simulator to examine two different patterns of traffic for a series of randomly generated network topologies. Each topology was simulated twice. One simulation used the original DSR algorithm while the other utilised the modified DSR algorithm. The average throughput was recorded for each run and the percentage improvement for the particular topology was calculated. Our results demonstrate that a significant increase in the global throughput of the networks can be achieved by implementing our modified DSR protocol.
Parametric person identification from the EEG using computational geometry

Person identification based on features extracted parametrically from the EEG spectrum is investigated in this work. The method proposed utilizes computational geometry algorithms (convex polygon intersections), appropriately modified, in order to classify unknown EEGs. The signal processing step includes EEG spectral analysis for feature extraction, by fitting a linear model of the AR type on the alpha rhythm EEG signal. The correct classification scores obtained on real EEG data experiments (91% in the worst case) are promising in that they corroborate existing evidence that EEG carries genetically specific information and is therefore appropriate as a basis for person identification methods.
Decentralized controller design for multimachine power systems based on the Hamiltonian structure

The decentralized controller design problem is studied for multimachine power systems. A Hamiltonian formulation for the multimachine power systems is presented. Based on the Hamiltonian formulation, the decentralized passivation control and stabilizing control problems are discussed. It is also shown that the adaptive mechanism can be introduced to the proposed feedback controllers for improving the robustness on the parametric uncertainty.
Design of pre-listening tasks in hypermedia environments

In this article, firstly the definition of autonomy will be slightly touched on. Secondly, the categorisation of autonomy will be briefly made. Mainly and finally, what need to be taken into account in order to be able to design and create pedagogically and psychologically effective and useful pre-listening tasks in hypermedia environments for autonomous (intermediate) language learners will be accounted for. The design and development of the pre-listening tasks will be looked at from the points of view of: 1) autonomous language learners; 2) hypermedia environments; 3) findings in the field of foreign/second language learning (FLL/SLL) and computer assisted language learning (CALL). Concrete examples of the pre-listening tasks for autonomous (intermediate) language learners in hypermedia environments will be provided and the assumptions underlying them will be explained.
Emotion in concatenated speech

This paper describes the results of preliminary attempts to add emotion to concatenative synthetic speech (using BT's Laureate synthesiser), initially using techniques previously applied successfully to formant synthesis. A new intonation contour (including both pitch and duration changes) was applied to the concatenated segments during production of the final audible utterance, and some of the available synthesis parameters were systematically modified to increase the affective content. The output digital speech samples were then subject to further manipulation with a waveform editing package, to produce the final output utterance. Further work has produced prototype rule-based implementations which allow automatic production of emotional utterances, and development of these systems is described. A pilot listening experiment to compare the hand-edited and automatic phrases with the formant-based synthesis has been conducted, and preliminary findings are reported.
Using mean shift algorithm in the recognition of industrial data matrix codes

Data Matrix Codes (DMC) are established by these days in many areas of industrial manufacturing thanks to their concentration of information on small spaces. In today's usually order-related industry, where increased tracing requirements prevail, they offer further advantages over other identification systems. This underlines in an impressive way the necessity of a robust code reading system for detecting DMC on the components in factories. This paper provides a solution for the Data Matrix Codes recognition. Using the Mean Shift Algorithm, the main information of the DMC pattern are computed and based on these, a virtual identification pattern is constructed. Seeking and matching over the image, the Data Matrix Code is located. We concentrate on Data Matrix Codes in industrial environment, punched, milled, lasered or etched on different materials in arbitrary orientation.
Sharing knowledge in law firms

The objective of this paper is to deepen our understanding of the factors that increase or lessen employees' tendencies to engage in knowledge-sharing behaviours. First, the case of law firms is discussed. Next, a potential research model and hypotheses are presented. Potential determinants of intentions to share knowledge in law firms include professional image, enjoyment in helping others, knowledge repository, professional self-worth, professional reputation, personal attitude, and usefulness of IT systems. Future research might pursue revision and empirical testing of the research hypotheses developed in this paper.