Reviewerly/exHarmony huggingface dataset:
Research and Development of Malaysia Court TranscriptionContinuous Speech Recognition System for Malaysian Malay Language

Speech recognition enable a person to control a device without pressing any button, keyboard andmouse. It also able the people to transcribe speech into text for easy reading or reference. It can beapplied to various system. For example, the assistance system that lunched by Google, called GoogleAssistance this system enables a person to navigate in google map, texting, call, paly music, searchingjust using voice. Furthermore, speech recognition system might make change to the judicial system.Problem such as long case proceeding time and case backlog always exist in the court. Although,Court Recording and Transcription system CRT has implemented to solve these problems but theproblem still exist but just slightly reduced. This is due there are only limited days in a year so dolimited court working days which also called the court calendar and case rise will have to fit into thebusy court time calendar and a court can only listen to that many of case. However, the caseproceeding efficiency can be further improve by have a real time speech recognition system. Thecurrent system CRT required private transcription vendor to produce the transcription service andrequire to hire a transcriber for the real time transcript which cause the increase in court proceedingcost and time. In this project, it is to design and develop a real time Malay speech recognition systemthat somehow able to resolve the problem mentioned or make the court proceeding more efficient, sothat it had more time to process more cases. The proposed Malay speech recognition system developusing the framework available in the CMU Sphinx. By using the tool kits provide in the CMU sphinxto design and develop a Malay language court speech recognition system. The system is adapted withMalay speech samples that collected by multiple speaker. The speech used for adaptation is all relatedto court case proceeding. The approach used to build the project are the Mel-frequency CepstralCoefficient MFCC feature extraction method and Hidden Markov feature classification/recognitionmethod. The Malay speech recognition system have a graphical user interface that designed by usingMicrosoft Visual Studio 2019 to convenient the use of end user. Moreover, for speech recognitionsystem that undergone both MLLR and MAP adaptation has the best performance when it tested withtest script (speeches that is not adapted). Its average word error rate achieved was 33.537%. averageword recognition rate was 77.896% and average sentence error rate was 77.5%.
Case Study In The Prism Of Research Methods - Comparative Anslysis

The main goal of this article is to systematize knowledge in the field of research methods, with a focus on the case study method. Its purpose is to disseminate existing studies and develop a model for the selection of a research method. The characteristic features of the scientific problem are scientific significance, formulating the problem according to rules of conducting the scientific process, as well as taking into consideration limitations and shortage of strict, objective and reliable knowledge. In science, two methodical models are commonly used: the hypothetical-deductive model and the induction model. The hypotheticaldeductive model includes a way of presenting scientific explanations in which the truth of the explanation is proved based on the rules of logical reasoning. From general theories, hypotheses are derived, and then they can be studied on the basis of empirical data, using quantitative analysis methods. The inductive model consists in formulating general conclusions or determining the correctness based on the analysis of empirically identified phenomena. Thanks to the comparisons between different research methods, the article clearly describes the possibilities of applying particular techniques in practice, as well as their advantages and limitations.
Background subtraction via exact solution of Bayesian L1-norm tensor decomposition

In background subtraction, principal component analysis (PCA) based algorithm has shown remarkable ability to decompose foreground and background in video acquired by static camera. The algorithm via closed form solution of L1-norm Tucker-2 decomposition is one of the real-time background subtraction algorithms. The closed form solution can be obtained from linear combination of video frame vectors and coefficient vector which composed of only +1 and -1. However, since the optimal coefficient vector is unknown, the method cannot help to be a complicated combinatorial optimization problem, when the number of input frame is large. In this paper, to solve this problem, Bayesian optimization (BayesOpt) which is a black-box derivative-free global optimization based background subtraction method is proposed. This method finds the optimal coefficient combination without considering the linear combination of all possible coefficient-combinations, using Bayesian statistical model and Expected Improvement (EI) acquisition function. Here the Bayesian statistical modeling is the method that measures the uncertainty of unsampled coefficient combination points and the EI function is a surrogate function which indicates the next sampling coefficient combination points. The experimental results confirm the efficiency of the proposed method.
Fourth industrial revolution (4.0.) Or cyber-industry in the criminal process: digital revolution, artificial intelligence and the path towards the robotization of justice

This paper aims to analyze the irruption of the fourth industrial revolution (4.0.) and its consequences, especially Artificial Intelligence, in Justice, particularly in Criminal Justice. The incorporation of expert systems, algorithms and computational models in counseling is now a reality, as well as in predicting and in legal decisions. The incorporation of judicial robotic or robot-judge (machine learning) represents a disturbing situation. The replacement of the human-judge creates an artificial cognition that raises doubts about ethics, reliability, the individualization of the sanction, the possible responsibility of the machine, the sensitivity of especially vulnerable victims or depressed groups, the violation of the people’s rights, etc.
Development of Students’ Music Auditory Perceptions within Multimedia Technology-Based Solfeggio Training Course

The article reveals a pedagogical potential and possibilities of using multimedia technologies within Solfeggio training course as a means of students’ musical auditory perceptions. We focus here on functional purpose and methodological support multimedia technologies. Our research has identified pedagogical conditions contributing to the effective development of students’ musical auditory perceptions within multimedia technology-based Solfeggio training course. We have put forward the guidelines for multimedia software selection aimed at students’ tone and aural skills improvement. We have tested the teaching techniques for students’ musical auditory perception development within multimedia technology-based Solfeggio training course, resulted in high effectiveness of the recommended technologies.
On a limit theorem for a non-linear scaling

In this note, we proved that weak limits of sums of independent identically distributed random variables which are re-normalized by a non-linear shrinking transform $\max(0, x-r)$ are either degenerate or (some) compound Poisson distributions.
LibGuides: Search Help: Common Search Problems: My results are too old

Having trouble with your searches? This guide will give you some tips to get back on track.
EXPERIENCE OF CONSTRUCTIVIST INTERPRETATION OF EDUCATION

The authors of the study note that modern practitioners and theorists of education in pedago­gy, psychology, cybernetics and other sciences state the productivity of the application of constructionist ideas and the development of constructionist edu­cation technologies. Constructivism pays special at­tention to the fact that the main goal of modern edu­cation (education in the post-postmodern era) is the development of increasingly challenging and com­plex forms of consciousness and activity. Construc­tivism also pays special attention to the formulation and resolution of problems of education and profes sional work within the framework of the truth es­sence concept, the role of time and space in its com­prehension or creation in the dialogue of people and groups. The authors consider the main problems of constructivist interpretation of education, as well as the supports and possibilities of introducing a con­structionist approach at the level of ideology, meth­odology and education technologies; they reveal the functions and ways of implementing the functions of training and education based on the concept of education “platform”. The aim of the work was the analysis of the features of the constructivist inter­pretation of education, the description by the con­structivists of the leading functions and the main ways of carrying out the functions of training and education by teachers and instructors. The authors believe that the constructionist model of education, as well as approaches similar to it (interactive or intersubjective, problem or genetic, contextual or meta-disciplinary) can and should become the focus of attention of researchers, including in the context of systematic methodological, theoretical, empirical and applied research .
LibGuides: Virtual & Augmented Reality Use in Higher Education: Home

How simulated experiences through the use of new real-time render technologies can transform learning
A Hybrid Model of 2d-DCT and 2d-Mycielski Algorithm for Hourly Global Solar Irradiation

In this work, hourly solar irradiation is defined as a two-dimensional discrete signal. This two-dimensional discrete signal is modeled by a novel hybrid approach, which includes both ...
Expediency of Appeal to the Competency-based Approach and Competency Model of the High School Graduate

The present study focuses on the problem of education quality in the modern world: as the contemporary social order reflects the transformation of many countries, including Russia, from industrial to post-industrial, information society. Consequently, the requirements for a specialist and his professional training are changing. In modern market conditions, professionalism, professional experience, the foundations of which are laid in the university, are considered factors in the competitiveness of a young specialist. The article explores the problem of a competency-based approach to teaching, which was introduced not as a recommendation, but as a new paradigm, the observance of which is mandatory when training specialists in higher education (as well as secondary schools). The purpose of the article is to consider the essential characteristics, complexity, and versatility of the concept of competency, about which a great deal of information has been accumulated in both foreign and Russian scientific research, but neither here nor there knowledge of competence has been conceptualized. The authors demonstrate that in the practice of education the use of the form in which the competencies “knowledge, skills and expertise” exist now is not so different from the former orientation to Knowledge, Abilities, Skills (KASs). This is because the way they are spelled out in competences and recommended for implementation is more like a formal approach than a focus on development.
dynoNet: a neural network architecture for learning dynamical systems

This paper introduces a network architecture, called dynoNet, utilizing linear dynamical operators as elementary building blocks. Owing to the dynamical nature of these blocks, dynoNet networks are tailored for sequence modeling and system identification purposes. The back-propagation behavior of the linear dynamical operator with respect to both its parameters and its input sequence is defined. This enables end-to-end training of structured networks containing linear dynamical operators and other differentiable units, exploiting existing deep learning software. Examples show the effectiveness of the proposed approach on well-known system identification benchmarks. Examples show the effectiveness of the proposed approach against well-known system identification benchmarks.
Multi-observable Uncertainty Equality based on the sum of standard deviations in the qubit system

We construct a multi-observable uncertainty equality as well as an inequality based on the sum of standard deviations in the qubit system. The obtained equality indicates that the uncertainty relation can be expressed more accurately, and also can be used to detect the mixedness of the system. Meanwhile, the new uncertainty inequality can provide a tighter lower bound, and the tightness can be maintained at a high level even in an open system. Furthermore, the deficiency of the uncertainty relation, that the lower bound of the product form uncertainty relations can be null even for two incompatible observables, can be completely fixed by the new uncertainty relation.
Development of mobile-based health center information system with feature-oriented software development (case study in North Kuta health center)

Abstract Health center is a district/city official technical unit that responsible for handling health development. At North Kuta Health Center, the medical record has been managed using a web-based application information system. Most of the patients access this system via smartphone. However, the system interface is not optimal if accessed via smartphone, such as the buttons on the system are covered by other interface elements and image sizes exceed the smartphone screen. For this reason, a mobile-based information system was developed from the existing health center system. When developing the system, a Feature-Oriented Software Development (FOSD) method was applied. The FOSD method applied the stages of domain analysis, domain design and specifications, domain implementation, product configuration, and generation. The domain analysis stage produced a needs analysis. At the domain design and specification stage, requirements analysis was processed into system design. The system design was created into a system prototype at the domain implementation stage. At the product configuration and generation stages, the system prototype was tested with User Acceptance Test (UAT) and running time. Running time testing shows the average time needed by the prototype system to complete each process was 432 ms. The UAT test shows that the prototype system was running well under the health service business process at the North Kuta Health Center. The system prototype has also provided convenience in the operation of health services in the North Kuta Health Center.
Research Guides: PAF 9330: Introduction to Higher Education - Prof. Bolitzer, Fall 2020: Locating E-books

Resources available through the Newman Library and other web-bases resources for research in higher education issues for final paper. How to Search For and Locate Print and Electronic Books
What needles do sparse neural networks find in nonlinear haystacks

Using a sparsity inducing penalty in artificial neural networks (ANNs) avoids over-fitting, especially in situations where noise is high and the training set is small in comparison to the number of features. For linear models, such an approach provably also recovers the important features with high probability in regimes for a well-chosen penalty parameter. The typical way of setting the penalty parameter is by splitting the data set and performing the cross-validation, which is (1) computationally expensive and (2) not desirable when the data set is already small to be further split (for example, whole-genome sequence data). In this study, we establish the theoretical foundation to select the penalty parameter without cross-validation based on bounding with a high probability the infinite norm of the gradient of the loss function at zero under the zero-feature assumption. Our approach is a generalization of the universal threshold of Donoho and Johnstone (1994) to nonlinear ANN learning. We perform a set of comprehensive Monte Carlo simulations on a simple model, and the numerical results show the effectiveness of the proposed approach.
Fast and effective element-aware domain enhancement and adaptation for semantic segmentation

In this paper, we propose a novel element-aware domain enhancement and adaptation (EDEA) approach for semantic segmentation to increase the segmentation accuracy. In the proposed EDEA approach, we first analyze the warning elements in the testing step, such as the falling-leaves, manhole covers, cirrus, advertisements, etc., caused invalid segmented objects. Then, we create a new GTA5-like (Grand Theft Auto V-like) dataset containing the scenarios including these warning elements. Further, we perform a domain adaptation on the created GTA5-like dataset to generate a photo-realistic GTA5-like dataset. Finally, we combine the generated dataset with the original photo-realistic GTA5 dataset and the realistic Camvid dataset to constitute a more diverse training dataset. The comprehensive experimental results have confirmed the semantic segmentation accuracy improvement of the proposed EDEA approach relative to the previous two domain adaptation methods.
Monroe Pipeline | Our Work | Underground Services, SoftDig

Overview Softdig completed an energy industry job in Chester County, Pennsylvania. This project, Monroe Pipeline, required Softdig to provided ...
A Novel Approach for Understanding Primary Mathematical Problems Described in Natural Language

In automatic solution for mathematical problem by machines, problem understanding is an indispensable prerequisite to answer correctly. In the current methods, problem understanding refers to obtaining equivalent representations of the problems, such as linear equations, polynomials, and so on. However, in the solution process, the problem equivalent representation does not guarantee semantic interoperability with the problem, and it is not easy to generate a human-like solution by backtracking the solution process. Therefore, creating a clear equivalent representation of the question is the direction of the automatic solution. Based on the WordEmbedding technology, this paper proposes a new method to convert the math problems of natural language descriptions into equivalent semantic vector representations that are easy to understand by computers, and to identify the types of problems based on deep learning. In this paper, we take the famous Chinese ancient math problem of "chicken and rabbit in the same cage" as an example, and obtain a good recognition rate of 72%.
Our Takeaways from the Extension to ISO/IEC 27701:2019 | IS Partners

The European Unions General Data Protection Regulation (GDPR) went into effect May 2018, and in spite of that, there is still no certification standard ...
Practice of Electric Circuits Using Demonstration of Phasor Locus Calculated by Computer

This paper describes practice of electric circuits using demonstration of phasor locus calculated by computer. Textbooks that authors has written have been used for an education of electric circuits at National Institute of Technology, Toyota college. It was carried out that a questionnaire survey whether demonstration of phasor locus calculated by computer was needed for students. The questionnaire survey was also performed whether phasor locus calculated by computer was worth to be seen in class. It is considered that demonstration of phasor locus calculated by computer is useful to be higher degree of satisfaction of students who are learning electric circuits and is not concerned with score of test in electric circuits.
LEARNING STRATEGY OF PRAGMATICS IN NONFORMAL EDUCATION DEPARTMENT

This study was classified as an experimental study with 144 sample members selected by random sampling from 578 members of the population. Indonesian students' learning achievement data was collected using research instruments through tests conducted before and after treatment. The data is analyzed using descriptive and inferential statistical analysis. The results showed there were differences in Indonesian language learning achievement of students who were taught pragmatics and students who were taught with nonpragmatics. The scientific facts found in this study indicate that the pragmatic teaching and learning strategy is one of the approaches that need to be considered to be developed and disseminated to university lecturers in schools, so that the quality of the teaching-learning process in Indonesian in general and language learning achievement Indonesian students in particular can continue to be maintained and improved in making students proficient and familiar in using everyday Indonesian
GSU Library Research Guides: Web Savvy -- General Guide: A Term Paper Mill

A multi-page tutorial on evaluating web sites, for beginners and those who think they know. Peek inside a term paper mill -- No link provided
GSU Library Research Guides: Web Savvy -- General Guide: Publishers and References

A multi-page tutorial on evaluating web sites, for beginners and those who think they know. Evaluating a web site's publisher and what it does with references/works cited
«Dark Matter» – Ethan Tide vs. The World

After the release of his concept EP «Endings», 21-year-old singer Ethan Tide is back with his new project titled «Outer Space».
Kerala Pournami Lottery Result (Sunday Draw) | Kerala Lottery

Kerala lottery will publish the Pournami lottery result every Sunday. You can view the winning numbers from this page. Make your Sundays a fun day by ...
북한 수령형상 음악의 종교성과 선교적 시사점: 기독교적 특성을 중심으로

Suryong Image Music creates, inherits and develops the image of Suryong, who is the absolute power of North Korea, and has a religiosity called Juche ideology. Through the analysis of Korean gospel song lyrics, it was found that the Christian attributes are imbued in Suryong Image Music. Therefore, if the similarity between two music can be properly utilized, the ideological divide between two Koreas can be reduced. Under this recognition, two missionary implications using music were presented: a missionary approach through music therapy and a spiritual approach through Korean gospel songs. The key is to replace Suryong image in the thoughts and lives of North Koreans with the Creator God. When such a spiritual recovery is made, the evangelization of North Korean will be further accelerated.
Subject Guides: Te Rua Makerspace: How to 3D Print

This guide is all about the UC Library's Makerspace. What we offer and protocols for using this space.