Reviewerly/exHarmony huggingface dataset:
Concept maps and the theory of scholar scientific knowledge

We will present here the Scientific Knowledge (SKT) along with one of its possible research methodologies. That is, together with concept mapping as an algorithmic language (CMA). That is, at the moment that a given author produces a given text or hypertext, to be this an text, an report, a article or scientific text he materializes a set of ideas, hypotheses, explanatory models, theory and/or experimental facts in a written form, implied in its most general form. In this moment we have the occurrence of an educational fact. It is proposed here that a theory of Knowledge Transposition or Didactic Transposition, provided with a research methodology and based on pedagogical facts constitutes a branch of the social sciences. That this new theory, the Theory of Scientific Knowledge, can be easily generalized to other forms of knowledge.
Securing the Long-Chain of Cyber-Physical Global Communication Infrastructure

Executive Order, May 2019 states: “...foreign adversaries are increasingly creating and exploiting vulnerabilities in information and communications technology and services ... in order to commit malicious cyber-enabled actions, including economic and industrial espionage against the United States and its people. ” [1]. This paper focuses on challenges of securing the long chain of global communication infrastructure, presents some illustrative data, and puts forth a multi-method research design for analysis of long-chain systems of information and or communications technology, infrastructure, services, ownership, providers, and networks - within a state and outside its jurisdiction - all essential for unimpeded global operations. A proof of concept for data requirements to support end-to-end integrated research is provided, along with highlights of some initial empirical analysis, with China as a case in point.
Application of Multimedia Computer Aided Techniques in Football Teaching and Training

With the continuous education reformation, computer multimedia technology, as a modern teaching and training method, is playing an increasingly important role in the teaching and training process. Multimedia teaching and training is a teaching and training method that uses multimedia courseware, including text, image, sound, animation and other means to arouse students’ interest in many aspects. The use of multimedia electronic information technology for football course teaching and training can well integrate theoretical knowledge and technical practice. Its interactivity can allow teachers to guide students’ directions according to teaching content, improve teaching quality and efficiency. It can solve the problem of disconnecting theoretical knowledge from practice. In the research process of this article, comparative experimental method, mathematical statistics method and logical analysis method are used to study the models and processes of multimedia-assisted football teaching using 40 students with different majors.
Perancangan Sistem Informasi Transaksi Menggunakan Barcode Zend Berbasis Website

University Abulyatama Aceh is one of the campus based education information system. During this time the University Abulyatma Aceh no one has developed a management information system uses barcodes zend transaction data, therefore the authors are interested in designing a transaction processing application using php and mysql which dikalaborasi with zend barcode. he designed the purpose of this application in order to facilitate the transaction and the owner of the company in data processing. The method used to design applications using the prototype of this application. This method is an attempt to obtain or solve the problems contained in the company. The result is a web-based transaction application that consists of several features such as data register, data items, suppliers of goods,
Implementation of Search Engine Optimization (SEO) on Website of IKM Semanggi Harmony

Website is very popular Online media used for promotion products besides simple and not too high cost can also reach all people across Indonesia But the problem there are a lot of similar websites Spread over in Internet And business actors will want the website is always tracked and occupy a position in the first page of the search engine so that many Internet visitors can visit and business actors can introduce products. to get website visitors used method of search engine optimization or SEO (Search Engine Optimization). SEO makes the website search optimal, so internet users easily find the website. It is expected to develop its marketing and result in increased sales. This research has the purpose is to be able to Implementing the SEO (Search Engine Optimizer) Techniques and the promotion of IKM creative Semanggi Harmoni through online media. method of system development that will be used is waterfall method consisting of requirement, design, Implementation, Verification dan maintanance. The result of implementation can be concluded that originally did not index successfully Indexed by Google and at the time in the test website is on the second page for the keyword Wayang kulit Werkudoroand for speed, the ikm semanggi harmoni website get a score of 85 in pagespeed insights and 74% at GTmetrix.
APPENDIX to DRAMbulism: Balancing Performance and Predictability through Dynamic Pipelining

This document provides the appendix to: Reza Mirosanlou, Mohamed Hassan and Rodolfo Pellizzoni, DRAMbulism: Balancing Performance and Predictability through Dynamic Pipelining. Proceedings of the 26th IEEE Real-Time and Embedded Technology and Applications Symposium, Sydney, Australia, April 2020.
Parallel Fully Vectorized Marsa-LFIB4: Algorithmic and Language-Based Optimization of Recursive Computations

The aim of this paper is to present a new high-performance implementation of Marsa-LFIB4 which is an example of high-quality multiple recursive pseudorandom number generators. We propose a new algorithmic approach that combines language-based vectorization techniques together with a new divide-and-conquer method that exploits a special sparse structure of the matrix obtained from the recursive formula that defines the generator. We also show how the use of intrinsics for Intel AVX2 and AVX512 vector extensions can improve the performance. Our new implementation achieves good performance on several multicore architectures and it is much more energy-efficient than simple SIMD-optimized implementations.
Generalized Models for Estimation of Diffuse Solar Radiation Based on Clearness Index

The acquisition of accurate knowledge of diffuse solar radiation is essential for the conversion and application of solar energy. Nevertheless, most regions around China lack the accurate measured diffuse solar radiation. The main purpose of this study is to establish reliable models for estimating diffuse solar radiation based on the clearness index for both annual and seasonal scenarios. For this purpose, 15 existing diffuse solar radiation models, including nine existing diffuse fraction and six existing diffuse coefficient models, were calibrated for estimation of daily diffuse solar radiation. Long-term, continuously measured global and diffuse solar radiation data were utilized as calibration and validation models. Five statistical parameters such as the mean absolute error (MAE), root mean square error (RMSE), uncertainty indicator at 95% (U95), mean absolute percentage error (MAPE), the correlation coefficient (R), and a global performance indicator (GPI) were used for evaluating the performance and accuracy of the calibrated models. The results showed that the calibrated best-performing models can estimate the daily diffuse solar radiation on a horizontal surface with good accuracy for both annual and seasonal scenarios. Moreover, the calibrated best-performing models can be used for estimating the daily diffuse solar radiation in regions like Wuhan.
Improvising Folk Songs : improvisation and collective composition

This paper discusses and presents some preliminary results from an ongoing artistic research project by the author called “Folk Song Lab” based on artistic performance concepts found in Swedish tra ...
Обучение геометрии с использованием возможностей программы «Живая математика»

The article is devoted to the use of digital educational resources in the process of teaching mathematics in a primary school. The possibility of using the ”Living Mathematics” electronic educational-methodical set with teaching guidelines on the topic ”Remarkable points of a triangle. Euler's line”. The article is addressed to teachers and students of pedagogical universities, methodologists, teachers of mathematics.
Mix-n-Match: Ensemble and Compositional Methods for Uncertainty Calibration in Deep Learning.

This paper studies the problem of post-hoc calibration of machine learning classifiers. We introduce the following desiderata for uncertainty calibration: (a) accuracy-preserving, (b) data-efficient, and (c) high expressive power. We show that none of the existing methods satisfy all three requirements, and demonstrate how Mix-n-Match calibration strategies (i.e., ensemble and composition) can help achieve remarkably better data-efficiency and expressive power while provably maintaining the classification accuracy of the original classifier. Mix-n-Match strategies are generic in the sense that they can be used to improve the performance of any off-the-shelf calibrator. We also reveal potential issues in standard evaluation practices. Popular approaches (e.g., histogram-based expected calibration error (ECE)) may provide misleading results especially in small-data regime. Therefore, we propose an alternative data-efficient kernel density-based estimator for a reliable evaluation of the calibration performance and prove its asymptotically unbiasedness and consistency. Our approaches outperform state-of-the-art solutions on both the calibration as well as the evaluation tasks in most of the experimental settings. Our codes are available at this https URL.
THE USE OF BLENDED LEARNING IN PROMOTING ENGLISH SKILLS: THE CASE AT STATE ISLAMIC SENIOR HIGH SCHOOL 01 KUDUS

English is approved as foreign language in Indonesian learner by distributing some aspect accepted there especially in culture. It involves Indonesian learner to explore it in globalization era. This causes the learner motivated that studying English is very important. So it is needed a new learning style to enrich reading, writing, listening and speaking skills by utilizing technology. It is blended learning that becomes one of the ways to improve English skills for the students. This research attempts at describing the use of blended learning in promote English skills at State Islamic Senior High School 01 Kudus. This is qualitative research. The data were collected by observing English teaching and learning using blended learning system and interviewing one of English teachers and five students at State Islamic Senior High School 01 Kudus. The result shows that the English teacher applied blended learning around two years. It is the combination between face-to-face classroom settings and using technology such as smartphone and computers of school. Students were asked to follow the teaching and learning English by using some applications, form and connecting the internet. The benefits and challenges will be faced in the teaching and learning activities. However, the students are more interested in promoting English skills by using blended learning.
A Tesseract-based Optical Character Recognition for a Text-to-Braille Code Conversion

<p class='IJASEITAbtract'>This study provided a platform that converts printed text documents into corresponding braille code that will trigger the palpable output of the braille cells. The system is composed of two main parts: the image scanner and the microcontroller-based braille platform. The image scanner captures the printed text document and performs a series of pre-processing algorithms where the processed image will be subjected to character recognition using Tesseract. It is open-source software for character recognition capable of recognizing text characters in different fonts and sizes. SimpleCV, also an open-source software for computer vision and a simpler version of an OpenCV, was utilized in pre-processing of images where binarization, filtering, edge detection, and character segmentation are performed. This will allow the microcontroller-based braille platform to interpret the printed characters from the generated braille code in ASCII format that will trigger the palpable output of the braille cells. The developed system was subjected to functionality and accuracy testing to assess its performance. Accuracy was based on the capability of the system to produce the right braille outputs that match the scanned line of text which are in Arial font. The testing was conducted utilizing the Arial font size of 12, 14, 16, 18, 20, 22, and 24. Results show that the system is capable of recognizing text with greater than 85 % accuracy starting at font size 18 with an average accuracy of 88.09 % and increases accordingly as the font size increases.
Impact of Employee Performance on Job Satisfaction in Information Technology Sector

Job satisfaction determines the level of employee performance in the organizations which is established by some researches. As the generation and time changes even the level of requirements and criteria for job satisfaction and employee performance also changes. The researcher is interested in carrying out the study in this area in order to identify and find out the crucial variables that govern the performance of employees and its reflection on Job Satisfaction .Thus the study is focussed on how and to what extent the identified variables significantly impact the employee’s performance and its reflection on Job Satisfaction. Descriptive study was conducted and used primary data collection method in the study by administering a structured questionnaire.  Non–Probability sampling technique was used with convenient type of sampling method in the study. The sample size was taken as 113 respondents for the purpose of carrying out the study. The Scope of the study was restricted only to the tactical cum strategic level employees who are employed with Information Technology firms. The researcher used the statistical tools for Analysis, One – Way ANOVA and Chi-Square test in order to arrive at the major findings in her study.
A Real-time Vehicle Detection for Traffic Surveillance System Using a Neural Decision Tree

Traffic surveillance system (TSS) is an essential tool to extract necessary information (count, type, speed, etc.) from cameras for traffic monitoring in many metro cities. In TSS, vehicle detection plays a pivotal role as it is a vital process for further analysis such as vehicle classification and vehicle tracking. So far there has been a considerable amount of research proposed with single-pipeline Convolution Neural Networks (CNN) to accommodate this subject. Although these studies achieved results with high accuracy, they required a large dataset and an implementation on dedicated hardware configuration. This paper presents a novel method with vision-based approach to detect moving vehicles from static surveillance cameras. Moving vehicles are detected and analysed by means of using a Neural Decision Tree accompanied with geometric features to classify vehicles and a Single Shot Detector to handle occlusion when inter-vehicle space between vehicles significantly decreases. Experiments have been conducted on the real-world data to evaluate the performance and accuracy of the proposed method. The results showed that our proposed method achieved a promising detection rate with real-time processing on regular hardware configuration.
Class-specific differential detection in diffractive optical neural networks (Conference Presentation)

We introduce a differential measurement scheme in diffractive neural networks, where object-classes are assigned to separate opto-electronic detector pairs and the class-inference is made based on the maximum normalized differential signal. This scheme enables diffractive networks to achieve blind-testing accuracies of 98.54% and 48.51% for MNIST and CIFAR-10 datasets, respectively. These accuracies improve to 98.52% and 50.82%, when differential detection is combined with the joint-training of parallel diffractive networks, with each specializing on a separate object-class. Finally, we report independently-trained diffractive networks that project their output-light onto a common plane to achieve 98.59% and 51.44%, for the same datasets, respectively.
LibGuides: UL Library Systems, Applications and Online Services: Institutional Repository

A guide on how to access and utilise UL Library Systems, Applications and electronic resources
Examining Software Design Projects in a First-Year Engineering Course Through Different Complexity Measures

This Innovative Practice Work in Progress paper examines student game development software projects that replaced a prior end of term project at a large Midwestern university. The use of end of term projects for introductory software courses can increase student engagement and provide a way to summarize and synthesize topics learned in the course. Previous research on a random sample of data has shown that game design projects require significantly higher student effort in the area of programming fundamentals (input/output, repetition structures, selection structures) when compared to prior end of term projects. This current work uses a custom automated Python script to analyze a much larger data set, and examines how game design projects differ from a previous project option in the areas of programming fundamentals and complexity, where complexity is measured using Lines of Code, Cyclomatic Complexity, Halstead Complexity, and Maintainability Index. The results show that when examining these metrics, the game project requires significantly higher effort as compared to the prior end of term project. This preliminary work will lead to a more in-depth analysis of the results from the automated script, as well as an analysis of additional end of course projects in first-year engineering courses.
Library Programming Made Easy: A Practical Guide for Librarians

"Library Programming Made Easy: A Practical Guide for Librarians." Technical Services Quarterly, 37(2), pp. 214–215
Normal Planes and Anomalies of Fetal Face: Pictorial essay

Poster: ECR 2019 / C-3187 / Normal Planes and Anomalies of Fetal Face: Pictorial essay  by:  M. Kapanigowda 1, A. Makam2, P. Jhawar1, U. Gunakala1, M. Jayadevappa1, N. Perothayil1, R. Jadiya3; 1Bengaluru/IN, 2Bangalore/IN, 3bangalore, ka/IN
Lizenzmanagement in IT-Umgebungen

No AccessHandbuch IT-ManagementMar 2020Lizenzmanagement in IT-UmgebungenTorsten GrollTorsten GrollSearch for more papers by this authorhttps://doi.org/10.3139/9783446462809.016SectionsAboutPDF ToolsAdd to FavoritesDownload CitationTrack CitationsCopy LTI LinkPDF key 'share (en)' returned an object instead of string.FacebookTwitterEmailLinkedIn previous chapternext chapter FiguresReferencesRelatedDetails 2020Pages: 695-740Print ISBN: 978-3-446-46184-0eISBN: 978-3-446-46280-9 Copyright & Permissions© 2020 Carl Hanser Verlag GmbH & Co. KGPDF downloadLoading ...
Adaptive binarization based on fuzzy integrals.

Adaptive binarization methodologies threshold the intensity of the pixels with respect to adjacent pixels exploiting the integral images. In turn, the integral images are generally computed optimally using the summed-area-table algorithm (SAT). This document presents a new adaptive binarization technique based on fuzzy integral images through an efficient design of a modified SAT for fuzzy integrals. We define this new methodology as FLAT (Fuzzy Local Adaptive Thresholding). The experimental results show that the proposed methodology have produced an image quality thresholding often better than traditional algorithms and saliency neural networks. We propose a new generalization of the Sugeno and CF 1,2 integrals to improve existing results with an efficient integral image computation. Therefore, these new generalized fuzzy integrals can be used as a tool for grayscale processing in real-time and deep-learning applications. Index Terms: Image Thresholding, Image Processing, Fuzzy Integrals, Aggregation Functions
Sound Recognition of Four Stroke Manual Transmission Motorcycle Engine’s Damage

Abstract Sound recognition that learns about the source of a sound, which is then used as a reference in learning. Sound recognition referred to in this study is the sound produced from the sound of a motorcycle engine. From the sound of the engine, the sound is then studied more and the results of the recorded sound are then used as objects of research. The management of motorcycle engine sound is carried out using Matlab and assisted by using the HMM (Hidden Markov Model) method with GMM (Gaussian Mixture Model) where HMM is used as chain pattern formation and GMM is used as a sound matching pattern. In this study indeed really learns from every sound of a motorcycle engine that will be used as a sample in the laboratory. From the sound of a motorcycle engine that is heard by the human ear can already indicate the conditions and eligibility limits of the motorcycle. Therefore, from this study trying to find answers to each condition and type of damage from a motorcycle through the sound of a motorcycle engine. With this research, it can help the vehicle owner, because the results of this study warn the vehicle owner to immediately conduct a scale check at the nearest official workshop and from this study also provide benefits and benefits for researchers and motorcycle vehicle owners to find out the condition of the damage early vehicles and help prevent them so as not to cause severe damage which can add air pollution in the city of Dili, East Timor. And the results of existing research are very helpful both for researchers, mechanics and motorcycle vehicle owners.
A MOVE TOWARDS DIGITAL ECONOMY...............

The global economy is undergoing a digital transformation as well, and it’s happening at breakneck speed. It is the economic activity that results from billions of everyday online connections among people, businesses, devices, data, and processes. The backbone of the digital economy is hyper connectivity which means growing interconnectedness of people, organisations, and machines that results from the Internet, mobile technology and the internet of things (IoT).The digital economy is taking shape and undermining conventional notions about how businesses are structured; how firms interact; and how consumers obtain services, information, and goods etc. This paper is focussed on the digital economy’s challenges, key drivers and the mechanism in our scenario.
LibGuides: UL Library Systems, Applications and Online Services: Google Scholar

A guide on how to access and utilise UL Library Systems, Applications and electronic resources
Library Services: Library Resources & Services for Remote Research: Home

This Guide provides tips for remote access to library resources and services needed for your classes and doing research.
White Library: Accessing the Library from Off-Campus: Home

No matter where you are, the library is here for you! This guide outlines ways to get research material and assistance no matter where you're located.