Reviewerly/exHarmony huggingface dataset:
Quaternion Information Theoretic Learning Adaptive Algorithms for Nonlinear Adaptive

Information Theoretic Learning (ITL) is gaining popularity for designing adaptive filters for a non-stationary or non-Gaussian environment [1] [2] . ITL cost functions such as the Minimum Error Entropy (MEE) have been applied to both linear and nonlinear adaptive filtering with better overall performance compared with the typical mean squared error (MSE) and least-squares type adaptive filtering, especially for nonlinear systems in higher-order statistic noise environments [3]. Quaternion valued data processing is beneficial in applications such as robotics and image processing, particularly for performing transformations in 3-dimensional space. Particularly the benefit for quaternion valued processing includes performing data transformations in a 3 or 4-dimensional space in a more convenient fashion than using vector algebra [4, 5, 6, 7, 8]. Adaptive filtering in quaterion domain operates intrinsically based on the augmented statistics which the quaternion input vector covariance is taken into account naturally and as a result it incorporates component-wise real valued cross-correlation or the coupling within the dimensions of the quaternion input [9]. The generalized Hamilton-real calculus (GHR) for the quaternion data simplified product and chain rules and allows us to calculate the gradient and Hessian of quaternion based cost function of the learning algorithms eciently [10][11] . The quaternion reproducing kernel Hilbert spaces and its uniqueness provide a mathematical foundation to develop the quaternion value kernel learning algorithms [12]. The reproducing property of the feature space replace the inner product of feature samples with kernel evaluation. In this dissertation, we first propose a kernel adaptive filter for quaternion data based on minimum error entropy cost function. The new algorithm is based on error entropy function and is referred to as the quaternion kernel minimum error entropy (QKMEE) algorithm [13]. We apply generalized Hamilton-real (GHR) calculus that is applicable to quaternion Hilbert space for evaluating the cost function gradient to develop the QKMEE algorithm. The minimum error entropy (MEE) algorithm [3, 14, 15] minimizes Renyis quadratic entropy of the error between the lter output and desired response or indirectly maximizing the error information potential. ITL methodology improves the performance of adaptive algorithm in biased or non-Gaussian signals and noise enviorments compared to the mean squared error (MSE) criterion algorithms such as the kernel least mean square algorithm. Second, we develop a kernel adaptive filter for quaternion data based on normalized minimum error entropy cost function [14]. We apply generalized Hamilton-real GHR) calculus that is applicable to Hilbert space for evaluating the cost function gradient to develop the quaternion kernel normalized minimum error entropy (QKNMEE) algorithm [16]. The new proposed algorithm enhanced QKMEE algorithm where the filter update stepsize selection will be independent of the input power…
THE EFFECT OF DIRECT INSTRUCTION STRATEGY ON STUDENTS’ ACHIEVEMENT READING COMPREHENSION IN RECOUNT TEXT AT THE ELEVENTH GRADE STUDENTS OF SMAS PABAKU STABAT IN ACADEMIC YEAR 2019/2020

The Effect of direct instruction strategy on students achievement in Recount Text at the eleventh grade students of SMAS Pabaku Stabat In Academic Year 2019/2020. Thesis. English Education Program Faculty of Teachers’ Training Education. University of Pembinaan Masyarakat Indonesia Medan.
On the Application of English and American Literature in College English Teaching

With the more and more frequent exchanges between countries, English subject has become a compulsory subject in various universities. As an important means of college English teaching, British and American literature has been valued by various schools. The integration of English and American literature in college English teaching can not only improve students' reading ability, but also promote students' English proficiency. By studying the significance of British and American literature in college English teaching, and analyzing the current situation of the use of British and American literature in college English teaching, it is proposed that teachers should choose the bibliography of British and American literature in a reasonable way, integrate English and American literature into English teaching in the second classroom, and follow the “people-oriented”. The teaching philosophy and other measures will eventually promote the application of British and American literature in college English teaching.
PENYUSUNAN MODUL HISTOLOGI HEWAN BERBASIS PENELITIAN UJI POTENSI BUAH Elaeocarpus sphaericus SCHUM TERHADAP STRUKTUR JARINGAN PANKREAS DAN GINJAL MENCIT JANTAN

Research-based modules are data taken from the process of solving a problem or looking for answers that are faced scientifically and think reflectively by collecting or searching in detail based on existing facts. Preparation of modules by analyzing needs, drafting, validating, revising modules and presentation results from media experts 89.58% with very good criteria not revised or valid and 77.08% percentage of material experts with criteria either not revised or valid. Keywords : Module, Research Based, media expert validation, material expert validation
“Hyperwiper”: Dancing windshield wipers Synchronizing Windshield Wipers with Sound Entertainment System Inside Vehicles

Instead of adding to the driving cacophony, actively orchestrated windshield wipers can enhance musical audition, reinforcing a beat by augmenting the rhythm, increasing the signal:noise ratio by aligning the cross-modal rhythmic beats and masking the noise, providing “visual music,” the dance of the wipers. We recast the windshield wipers of an automobile with advanced multimedia technology, allowing wipers to dance to music.
Basis for design of the functional model of research training of technical university students

The relevance of the problem under study is conditioned by the current discrepancy between the society demand for competent engineering staff prepared for research activities and poor development of the theoretical and methodical basis of students’ research training. Peculiarities of engineering activities, integration of a competence approach into engineering education, adoption of educational and occupational standards result in a brand new approach to students’ training and bring about a need for a teaching model targeted at preparing graduates for research activities. The aim of the article is to settle the problem of developing and implementing the functional model of students’ research training in the context of competence-oriented engineering education that would define the content of innovative didactics and allow to reach the goals set in engineering education. This paper arranges, singles out, and develops current approaches to solving the problem of research training of technical university students that contribute to the development of a methodological framework of this preparation as a functional model. Empiric methods (polling, observation, interviews, testing, selfassessment, document review, study of deliverables, educational design) enabled analysis of the maturity level of research competence of first-year students and graduates before the start of the experiment, after each stage of the experiment and at the end of the experiment. 1,520 persons were engaged, including 1,390 students and 130 teachers. The educational experiment was targeted at evaluating functional model performance by identifying changes in the maturity level of the students’ research competence.
Identifying surgical-mask speech using deep neural networks on low-level aggregation

The task of Mask-Speech Identification (MSI) aims at judging whether a chunk of speech is pronounced when the speaker is wearing a facial mask or not. Most of the existing related research focuses on investigating the influence of wearing a mask, which only adapts in some certain cases to speech analysis. Thus in order to generalise the research on MSI, we propose an MSI approach using deep networks on Low-Level Aggregation (LLA) for speech chunks. The proposed approach benefits from data augmentation on Low-Level Descriptors (LLDs), resulting in more adaptation to deep models through inputting much more samples in training without employing pre-trained knowledge. Experiments are performed on the dataset of Mask Augsburg Speech Corpus (MSC) used in the INTERSPEECH 2020 ComParE challenge, considering the influence from employing different strategies. The experimental results show effectiveness of the proposed approach compared with the ComParE challenge baselines.
Overview of Cyber Crime and Cyber Security

In the field of information technology, cyber security plays an important role. Securing information has become one of today's biggest challenges. The first thing that comes to our mind when we ever think of cyber security is 'cyber crimes,' which are increasing immensely every day. Various governments and companies are taking a number of measures to prevent this from happening.Cyberdelinquency. Cyber protection is also a very major problem for us beyond different initiatives. This paper focuses mainly on information security issues on the new technology. It also reflects on the current cyber security strategies, practices, and developments that transform the face of cyber security.
Pains and Gains of Peer-Reviewing in Software Engineering (3)

The 'Pains and Gains of Peer-Reviewing in Software Engineering' column of SEN aims at fostering a constructive and stimulating discussion on peer-reviewing in software engineering venues. This third editorial introduces two new contributions to the column, providing the positions and perspectives by the Editors-in-Chief of two internationally renowned software engineering journals.
LibGuides: Student Clubs and Organizations Records (SCOR): Home

Information for student clubs and organizations interested in caring for and maintaining their records and those that may be interested in donating their records to University Archives & Campus History Collections in the university library.
Formation of Professional Competencies in Agro-Engineering Areas of Training in National Research University

Introduction: Improving the quality of training of engineering personnel is one of the strategic factors of education in higher education. At the same time, a set of educational technologies aimed at acquiring a block of professional competencies during the training period is of particular importance for engineering training.The purpose of this work is to analyze the factors affecting the level of formation of professional competencies in the agro-engineering areas of training and suggest ways to improve the quality of mastering professional competencies, taking into account subsequent innovative engineering activities in production.Methodology and research methods: The level of formation of professional competencies of future engineers was determined on the basis of a set of qualitative indicators of training and the use of innovative educational technologies. Modern approaches and methods of forming a block of professional competencies in engineering training in the conditions of the created modern material and technical base under the development program of the National Research University areproposed.Results and scientific novelty: The creation and active use of modern educational technologies, specialized laboratories, an educational and research and production center, student design bureaus and small innovative enterprises within the framework of a national research university development program made it possible to improve the quality of the formation of professional competencies in the agro-engineering areas of training. The number of students participating in research, the number of publications in peer-reviewed journals, participation in national and international conferences in various regions of the Russian Federation, the number of scholarship holders of the President and Government of the Russian Federation and winners and prize-winners of all-Russian contests and olympiads increased by 8–10 times.Practical significance: The studies have shown high efficiency in the development of learners' professional competencies as a result of the application of modern teaching methods, the wide involvement of future engineers in research work, the creation and equipping of teaching and research and production units at the university with modern equipment
Software educativo en el desarrollo de destrezas de la escritura y pronunciación del abecedario del idioma inglés

INTRODUCTION. Educational software is used on computers or laptops, whose intention is to support teaching and learning. The writing and pronunciation skills of the alphabet of English language, involves the knowledge of skills and their strengthening. OBJECTIVE. To implement an educational software in development of writing skills and pronunciation of the alphabet of English language in second year students of Basic General Education of the Educational Unit “Vicente Leon”. METHOD. He was part of the field research at the U.E. Vicente Leon, place where the events occurred. Bibliographic research from scientific sources was used, to broaden and deepen different study approaches. The level of inquiry was exploratory to collect general background on the problem investigated. On the other hand, THALES methodology was used for software development; it is a non-linear hybrid model with cyclical phases. RESULTS. The educational software is very useful, in order for the teacher and students of the English language develop activities according to the subject's curriculum. CONCLUSIONS. The continuity of this theme is necessary, innovating in a web environment.
Locate Who You Are: Matching Geo-location to Text for Anchor Link Prediction.

Nowadays, users are encouraged to activate across multiple online social networks simultaneously. Anchor link prediction, which aims to reveal the correspondence among different accounts of the same user across networks, has been regarded as a fundamental problem for user profiling, marketing, cybersecurity, and recommendation. Existing methods mainly address the prediction problem by utilizing profile, content, or structural features of users in symmetric ways. However, encouraged by online services, users would also post asymmetric information across networks, such as geo-locations and texts. It leads to an emerged challenge in aligning users with asymmetric information across networks. Instead of similarity evaluation applied in previous works, we formalize correlation between geo-locations and texts and propose a novel anchor link prediction framework for matching users across networks. Moreover, our model can alleviate the label scarcity problem by introducing external data. Experimental results on real-world datasets show that our approach outperforms existing methods and achieves state-of-the-art results.
Rancang Bangun Sistem Informasi Manajemen Aset “SIMA+” Berbasis User Centred Design (UCD)

Assets consist of immovable and movable objects, both tangible and intangible assets, which are included in the fortune of an agency, organization, business entity or individual. The wrong management of assets will be bad for the company so that it is resulting in losses. Utilization of assets cannot be carried out optimally because they are not clearly identified, making it difficult to know which assets can still be used or when it is time to replace them and when it is time to carry out maintenance. Assets really need to be managed and utilized properly in order to maintain high asset value and to achieve optimal use and utilization of assets so as to provide more benefits for the company. The purpose of this research is to develop an asset management information system called SIMA+. The system development methodology used is prototyping. The system design uses Microsoft Visual Studio 2015 with the programming language Visual Basic, the system output design uses Crystal Report, and data storage uses Microsoft SQL Server 2014. The result of this paper is a system that is expected to have the ability to maintain asset value, asset service life, and asset security, minimizing asset utilization transaction errors and can adjust asset data recorded in the system and physical asset data.
Infrared Faces Image Recognition Using Local Binary Pattern

Face recognition has a broad range of uses for business and law enforcement, such as access control, security monitoring, and video surveillance. This paper proposes an effective algorithm for Infrared face recognition using a Local Binary Pattern (LBP) for extraction of features and a Canonical Correlation Analysis (CCA) for fusion and classification of features. The facial characteristics are extracted using LBP. The extracted characteristics are then converted into different domains for transformation. For dimensionality reduction, the two-Dimensional Principal Component Analysis (2DPCA) approach is used in the proposed algorithm to generate more lightweight, robust and discriminatory features, which are then combined using the CCA classifier. The spatial relationship between adjacent pixels is also maintained by 2DPCA, increasing the overall accuracy of recognition. In addition, the paper introduces a comparative study between infrared facial recognition systems using the proposed technique and previous work. Based on the recognition rate and time usage, the output is evaluated. The analysis of the findings shows that the technique proposed is the most efficient and the least time compared to previous techniques. The experimental results are tested on a dataset acquired by Equinox Corporation. The proposed technique achieves a recognition rate of 99.26% at 0.45 seconds.
Evaluasi Kualitas Penggunaan Website Mata Kuliah Bahasa Inggris Berdasarkan ISO/IEC 25010:2011 pada Universitas Universal

This study was about the evaluation of the quality of Edmodo English website at Universal University (UVERS) in Batam City in Riau Islands using ISO/IEC 25010:2011. Edmodo UVERS website is a student website of Universal University that serves as a learning media around lectures. The purpose of the research with the use of ISO/IEC 25010:2011 is to provide recommendations in improving the quality of the Edmodo UVERS website. The methodology used is the observation and dissemination of questionnaires to users of the website both students and lecturers consisting of more than 30 responses. The questionnaire consists of seven points namely usability, information quality, interaction quality, effectiveness and efficiency, satisfaction, risk-free, and covers the whole. The conclusion obtained is that the recommendations given are in the usability factor, satisfaction in reliability factors, effectiveness &amp; efficiency in perfomance efficiency factors, and risk-free on reliability factors
Comparative study between different Juvenile Justice Systems as compared to Indian

Contemporary World has observed an increase in the rate of juvenile crime, which is an extremely serious issue, particularly in India, as these juveniles are their respective countries' future. Children who are not given proper guidance and who are in not a good influence are turning towards the criminal direction to lead their lives. Different factors are responsible for this juvenile approach. This work explores all aspects of Juvenile Delinquency in Major Countries and steps taken by these countries to tackle offenses committed by juveniles and further compare their laws for dealing with juveniles in India. This research paper also aims at studying the major differences between the Juvenile Justice Act, 2000 and Juvenile Act, 2015 which is recently passed Act relating to Juvenile in the Parliament. The goal of the research is to get the best way to deal with juveniles by comparative study among the major countries.
LibGuides: *Visitors' guide to the GTU library*: Getting here (and parking)

The GTU library offers a wide range of services to the community. Learn more about getting a card and using the GTU library here!
A Key-Policy Attribute-Based Temporary Keyword Search scheme for Secure Cloud Storage & Detect Malicious user

Temporary keyword search on confidential data in a cloud environment is the main focus of this research. The cloud providers are not fully trusted. So, it is necessary to outsource data in the encrypted form. In the attribute-based keyword search (ABKS) schemes, the authorized users can generate some search tokens and send them to the cloud for running the search operation. These search tokens can be used to extract all the ciphertexts which are produced at any time and contain the corresponding keyword. Since this may lead to some information leakage, it is more secure to propose a scheme in which the search tokens can only extract the ciphertexts generated in a specified time interval. To this end, in this paper, we introduce a new cryptographic primitive called key-policy attribute-based temporary keyword search (KPABTKS) which provide this property. To evaluate the security of our scheme, we formally prove that our proposed scheme achieves the keyword secrecy property and is secure against selectively chosen keyword attack (SCKA) both in the random oracle model and under the hardness of Decisional Bilinear Diffie-Hellman (DBDH) assumption. Furthermore, we show that the complexity of the encryption algorithm is linear with respect to the number of the involved attributes. Performance evaluation shows our scheme’s practicality.
LibGuides: Sol Plaatje University Library and Information Services General Guide: Research Support

Welcome to your SPU LIS general portal where you can find links to our electronic databases, other library resources and open resources.
Research on the Application of Cooperative Modular Teaching in English Courses of Higher Vocational Education

As a common language for international communication, English has received full attention in the education system of higher vocational colleges. Learning English and improving the practical ability of English is conducive to improving students’ language literacy and comprehensive strength, which influences the future career of higher vocational students. This article analyzes the current situation of higher vocational English teaching and elaborates on the application and significance of cooperative modular teaching methods in higher vocational English courses to improve the quality of higher vocational English teaching.