Reviewerly/exHarmony huggingface dataset:
Educational programs improvement directions of different levels in high school

Abstract The paper presents the results of research on the possibilities to improve the educational process at the university and the basic conditions of their realization. The authors developed the model of the next generation education program (EP) based on the analysis of the experience of “International Society for Engineering Pedagogy” and the CDIO. The paper presents data poll of young and experienced lecturers on need and importance of the next generation EP, as well as the readiness of their education departments and teachers to implement the next generation EP requirements in training bachelors and masters. Qualification characteristics of university lecturers, capable of solving problems of the next generation EP development and effective implementation; requirements for methodological tools for educational process monitoring; needs to raise the educational culture in order to form valuable attitude and responsibility of both lecturers and students for the results of their joint work are defined in the paper on the basis of empirical data. Generalization of results of the research allowed formulation of a number of actual tasks for education departments since their decision influences the quality of the ultimate results realized in the educational process.
The Goodest Robot - a mechanical popsong for Soprano and piano four hands

Author(s): Di Paolo, Felice | Abstract: This music score was submitted for the Kaleidoscope 2020 Call for Scores, an open access collaboration with the UCLA Music Library.
Design of Automatic Scoring Device for Soccer Goal Based on Computer Vision

Football is one of the most fashionable games in the world, meanwhile the refereeing results may be controversial. In this work, an automatic goal scoring system is designed for the specific games based on computer vision. The aim is to simplify the referee's work, reduce the human error, and provide an accurate performance for the operators. This subject can realize the tracking and identification of football as the movement of the entity, the detection of the ball into the goal of the scoring area. Through the actual test, the design can accurately display the score results.
Rubber hand illusion and affective touch : A systematic review

The feeling of owning a body part is often investigated by conducting and manipulating the rubber hand illusion, a three-way integration of vision, touch, and proprioception. In the last decade, mo ...
Mirostat: A Perplexity-Controlled Neural Text Decoding Algorithm

Neural text decoding is important for generating high-quality texts using language models. To generate high-quality text, popular decoding algorithms like top-k, top-p (nucleus), and temperature-based sampling truncate or distort the unreliable low probability tail of the language model. Though these methods generate high-quality text after parameter tuning, they are ad hoc. Not much is known about the control they provide over the statistics of the output, which is important since recent reports show text quality is highest for a specific range of likelihoods. Here, first we provide a theoretical analysis of perplexity in top-k, top-p, and temperature sampling, finding that cross-entropy behaves approximately linearly as a function of p in top-p sampling whereas it is a nonlinear function of k in top-k sampling, under Zipfian statistics. We use this analysis to design a feedback-based adaptive top-k text decoding algorithm called mirostat that generates text (of any length) with a predetermined value of perplexity, and thereby high-quality text without any tuning. Experiments show that for low values of k and p in top-k and top-p sampling, perplexity drops significantly with generated text length, which is also correlated with excessive repetitions in the text (the boredom trap). On the other hand, for large values of k and p, we find that perplexity increases with generated text length, which is correlated with incoherence in the text (confusion trap). Mirostat avoids both traps: experiments show that cross-entropy has a near-linear relation with repetition in generated text. This relation is almost independent of the sampling method but slightly dependent on the model used. Hence, for a given language model, control over perplexity also gives control over repetitions.
Guided Filter Based Colour Image Rain Streaks Removal Using $$\varvec{L}_{0}$$ Gradient Minimization Method

In recent time, removal of rain from videos and images is becoming a popular research interest in computer vision world. Outdoor visibility degrades rapidly due to rain and it gives direct affect in object detection, surveillance systems and many other image processing applications. Different research works on image rain removal have already been proposed which perform their operations based on dictionary learning and sparse coding, different image decomposition techniques, probabilistic model, entropy maximization and many more. In this paper, a novel rain removal technique is proposed where high frequency rain component of a rainy image is guided by low frequency non-rain component to remove the rain streaks by guided filter. As the guided filter is not able to remove satisfactory number of rain streaks, therefore $$L_{0}$$ gradient minimization technique is applied on the image obtained after guided filtering. Overall sharpness of the output image is enhanced by unsharp masking (USM) operation. Finally contrast limited adaptive histogram equalization (CLAHE) technique generates the contrast enhance desired output. Qualitative and quantitative comparisons are performed to show the superiority of the proposed technique.
Students’ Perception on the Effectiveness of Blended Learning: Efforts in the Mastery of English

Blended learning is a combination (or combinations) of face-to-face learning processes using the online English learning applications. Learning English should develop and integrate with technology advancements in the current era of digitalization. The purpose of this study was to analyze the perceptions of students when they try to master English using blended learning. The subjects in the study were 100 students of semester 1 in academic year 2018/2019, majoring in management and accountancy at the Faculty of Economy, University of Pembangunan Panca Budi. The research was qualitative using questionnaires as the instruments and the data analysis techniques involved descriptive. The results showed that blended learning would be more effective if there were available more face-to-face methods, compared to the online systems supported by a relatively small proportion of students so that the learning environment would be more comfortable; moreover, they more freely ask for questions and discuss the materials by themselves. This application greatly helped the process of learning English, but the application only became the supporting media, not the subject of learning, because such application had many obstacles and weaknesses, such as, the availability of internet networks and application systems did not support and there is no social interaction among students and between students and lecturers.
Hey folks here is a cool vocab ...

Hey folks here is a cool vocab thingy I made on @glitch https://glitch.com/~tech4teensvocab #literacies #edtechchat Want to make #k12 #remotelearning more successful get parents
Policy Evaluation National-Standard School Exams in Bondowoso Regional Education Branch

The purpose of this study is to describe the level of effectiveness, identify and describe inhibiting factors, describe the impact, determine the policy recommendations for the implementation of NSSE.The objects of research are Ibrahimy Vocational High School.Data collection methods use observation, interviews, documentation, triangulation.The research instruments, interview guidelines, and recording equipment.That the effectiveness of smartphone-based NSSE includes: (1) As many as 100% of participants like school exams to use smartphones.(2) Smartphone-based exams are far more effective than computer exams.Inhibiting factors include: There is no emphasis from the Head of the East Java Provincial Education Office.Impact: Teachers no longer bother to correct and do not need to process grades.The integrity of participants in carrying out school exams reaches 100%.Policy recommendations: Recommending the Head of the Education Office does not recommend, but emphasizes.
Video Saliency Detection Using Bi-directional LSTM

Significant detection of video can more rationally allocate computing resources and reduce the amount of computation to improve accuracy.Deep learning can extract the edge features of the image, providing technical support for video saliency.This paper proposes a new detection method.We combine the Convolutional Neural Network (CNN) and the Deep Bidirectional LSTM Network (DB-LSTM) to learn the spatio-temporal features by exploring the object motion information and object motion information to generate video.A continuous frame of significant images.We also analyzed the sample database and found that human attention and significant conversion are time-dependent, so we also considered the significance detection of video cross-frame.Finally, experiments show that our method is superior to other advanced methods.
LibGuides: Online library services available during the University closure: Past Exam Papers

This guide outlines the services available to you during the Library closures due to COVID-19 Information on how to find and access past exam papers
LibGuides: Adult Summer Reading - 2020: All the Ways You Can Read This Summer

Why should kids have all the fun? Read some great books this summer and join us for a chance to win prizes, including our Grand Prize: a Kindle!
Research Guides: Higher Education Resources Available Through the Newman Library - Spring 2020: Locating a Specific Journal or Publication by Name

How to search for e-books articles, news and reports on aspects of higher education through databases and other resources available through the Newman Library. Guide focuses on higher education in the United States. How to search for a specific journal or magazine by name
AN ANALYSIS OF READING COMPREHENSION IN ENGLISH TEXTBOOKS AT HIGH SCHOOL GRADE XII IN INDONESIA

Abstract This study aims to determine the forms of text the use of appropriate genres focusing reading comprehension in textbooks in high school in 12th grade. The form of this research is descriptive by comparing books analyzing reading texts in the textbook English Skills for the Future by Grafindo, Let's Learn by Bailmu, Pathway to by for high school class XII which consists of 3 topics English Skills for the Future by Grafindo , 3 topics on Let's Learn by Bailmu and 3 topics in the book Pathway to by Erlangga .Qualitative data is grouped based indicators. Data obtained through textbook evaluation by looking at the form of text. It was found that in the three textbooks English Skills for the Future by Grafindo, Let's Learn by Bailmu, Pathway to by have the same genre namely factual genre (descriptive text, explanation, analytical exposition, report etc). Key Words: Reading Comprehension, Analysis of english textbooks, conformity to the curriculum
LibGuides: Fluid Power: APLED 121 - Research Practice

Research resources, tips, and support from SCC librarians Instructions students can use to practice searching for trade journal articles in library databases
LINEAR REGRESSION AND NEURAL NETWORKS ALGORITHM TO PREDICTING THE REAL-TIME PARAMETERS OFTEMPERATURE AND HUMIDITY

Web of Things is a developing innovation that is making our reality more astute. The possibility of theassociated world can't be envisioned without IOT. In IOT, different things, for example, lighting, homeapparatuses, PCs, surveillance camera, and so on all are associated with the web and permitting the client toscreen and control things paying little heed to time and area limitation. The primary target is to guaranteesecurity and improve comfort. In this paper, we are utilizing various sensors to anticipate ongoing boundarieslike Temperature and dampness, etc. By utilizing sensors, we will quantify the qualities, and those qualities willbe put away in the cloud. For putting away the qualities in the cloud, we are utilizing the Thing talk stage.Thingspeak is an IOT examination stage administration that permits you to total, envision, and break down liveinformation streams in the cloud. You can send information to Thing Speak from your gadgets, make momentperception of live information, and send alarms. The information will be put away in the cloud stage, and byutilizing the AI calculations, we anticipated the future information. We are utilizing a portion of the calculationslike Linear Regression and Neural systems to foresee the following information.
Augmented reality inom tillverkningsindustrin

GKN Aerospace is today one of the world's leading suppliers of aerospace technology and components. They deliver to both small and large aircrafts and operate in 14 different countries. Continuous ...
LibGuides: mathport@L: Home

Need tutoring in a Math course or Preparing for the Accuplacer or TEAS test? You’ve come to the right place!
Avskräckning i cyberdomänen? : en studie av svensk strategi

There are frequent reports of cyber intrusions in everyday media. Attacks in the cyber domain have become commonplace and even USA with the world’s largest military falls short in deterring all hos ...
Acmeological resources of personal development in the paradigm of humanistic pedagogy

The article explores the problem of interaction of the individual and society, which together determines the identification and differentiation of the unique and universal personality with the goal of proportional development of the individual in society. The necessity and possibility of developing a unique and universal personality are proved on the basis of the principles of harmony and unity. It is argued that the proportional development of the individual in society is ensured by acmeological postulates that act as a trigger mechanism. The acmeological conditions of personality development are proposed and substantiated, relying on the idea of harmonizing the unique and universal in the personality, the role of which is played by the conditions: for the growth of the personalitys self, development of its emotional sphere, creation of a favorable environment and conditions for the person to master the system of social roles. Together, they all represent the acmeological resources of personality development. As a result of identifying and arguing the group of acmeological conditions for the development of personality, a number of patterns are identified that help to solve the problems of harmonious development of the personality against the background of the universal and identification of uniqueness of personality with the universal.
Design an Area and Delay Optimized VLSI Architecture for DWT Using Lifting Scheme

The fundamental idea behind wavelets is to analyze according to scale. Indeed, some researchers in the wavelet field feel that, by using wavelets, one is adopting a perspective in processing data. Wavelets are functions that satisfy certain mathematical requirements and are used in representing data or other functions.  In this paper, separable pipeline architecture for fast computation of the 2D DWT with a less area and low latency is proposed by using carry select adder. The low latency and less area is achieved by proper designing of 2-D DWT filtering processes and also efficiently transferring the data between the 2-D DWT filters.
Research Guides: Business: Library Catalog

Sources for business research for the Tuck and Dartmouth communities Search the Dartmouth Library Catalog
Transient Response (Score)

Composition for Xylosynth and Orchestra. Premiered by Soloist Joby Burgess and the Ural Philharmonic Orchestra, Yekaterenburg, Russia.
LibGuides: Art Resource Guide: Home

A guide from Funderburg Library on how to use library resources to do research for your art classes.
LibGuides: Adult Summer Reading - 2020: Reader Reviews

Why should kids have all the fun? Read some great books this summer and join us for a chance to win prizes, including our Grand Prize: a Kindle!
LibGuides: Educator Resources: Alabama Virtual Library

A showcase of the resources we have available for educators in our catalog. An overview of the educational databases offered by the Alabama Virtual Library.
The Relationship Between Population and Economic Development: Evidence from Little Country’s (Ethiopia, Uganda, Pakistan and China)

The relationship between population growth and economic development has been a topic under debate for a long time.The relationship between population growth and economic development can be measured by looking at the impact of population growth on economic development and vice-versa.The relationship between population and economic development has recently spawned a large number of empirical studies, with remarkably mixed result.While many studies argue that population growth impedes economic development, others contend that the economic effects of population are rather simulative and some maintain that the two variables are not related at all.So this paper tried to put some comparison between the variable in terms of graph, by taking four country Ethiopia, Uganda, Pakistan and China as example; when I come to my conclusion the impact of population growth on economic development is different in the varying economies.When in developed countries, population growth helped to increase the Gross National Product, in developing countries the reverse is the case.So that I support the view that population is not the real problem, since there is proper policy that can create opportunity for the growing population, the high population to become relevant.However if the concerned body if fail to manipulate especially with regards to Less Developed Countries it become treat and challenge for the economic development of that country and the also high population cannot foster the economy when the largest portion is poor.Moreover it may bring different problem like continuously increasing dependency ratio, increase migration, unemployment, tends to lower man-land and man-resource proportions, can also increase the problems of inequalities in income distribution and generally it create poverty.
Image Classification Using Artificial Neural Networks

This article will focus on applying neural network machine learning methods to image for the aimof automatic detection and classification. The most advantage of using the neural network methods during thisproject is its adeptness at fitting non-linear data, and its ability to work as an unsupervised algorithm. DeepLearning has emerged as a replacement area in machine learning and is applied to a variety of signal and imageapplications. The most purpose of the work presented during this paper is to use the concept of a Deep Learningalgorithm namely, Convolutional neural networks (CNN) in image classification. Our system uses a deep learningalgorithm to realize the expected results in the area like computer visions. This technique presents a ConvolutionalNeural Network (CNN), a machine learning algorithm being employed for automatic classification of the image.A feature visualization technique is additionally applied to the trained classifier, to verify internal visualcharacteristics that succeed in classification. The experimental result shows that visualized features aresignificantly different from those of general object classification. This work represents one of the primary attemptsto look at the visual characteristics of comics using feature visualization, regarding comic author classificationwith deep neural networks.
Library Guides: Copyright for Students: Copyright for Students

Information for students at Centennial College about respecting copyright, library licenses, navigating eReserves and protecting their intellectual property. Copyright information for Centennial students.
UIC Security Division participated in the 71st COLPOFER Conference held from 28 – 29 November 2019 in Prague – UIC Communications

The meeting was chaired by Mr Franco Fiumara, chairperson of the COLPOFER group and also Director of Security at FS Spa. He presented some innovative solutions developed at FS to address security…
LibGuides: Important Steps for Creating and Managing Your LibGuide: Creating and Managing Your LibGuide

The following procedures will ensure your LibGuide is available, visible and located on the correct webpage(s).
Sistem Pakar Diagnosa Penyakit Pada Pernafasan Ayam Broiler Menggunakan Metode Forward Chaining

Broiler breeding business is fairly rapid development, so many are interested in cultivating. The rapid development of the livestock business is due to the large number of broiler markets. However, there are several factors that inhibit the cultivation of broilers, one of which is susceptible to disease that results in farmers experiencing material losses. with the rapid development of technology today, a multi-user website-based expert system has been created so that it can be used by many users. So the purpose of writing this research proposal is to design an expert system application to be able to diagnose diseases in chicken breathing, to help lay farmers.Keywords: Broiler Chicken, Expert System, Forward Chaining Method.
Polymorphic Encryption and Pseudonymisation of IP Network Flows

We describe a system, PEP3, for storage and retrieval of IP flow information in which the IP addresses are replaced by pseudonyms. Every eligible party gets its own set of pseudonyms. A single entity, the transcryptor, that is composed of five independent peers, is responsible for the generation of, depseudonymisation of, and translation between different sets of pseudonyms. These operations can be performed by any three of the five peers, preventing a single point of trust or failure. Using homomorphic aspects of ElGamal encryption the peers perform their operations on encrypted –and potentially– pseudonymised IP addresses only, thereby never learning the (pseudonymised) IP addresses handled by the parties. Moreover, using Schnorr type proofs, the behaviour of the peers can be verified, without revealing the (pseudonymised) IP addresses either. Hence the peers are central, but need not be fully trusted. The design of our system, while easily modified to other settings, is tuned to the sheer volume of data presented by IP flow information.
High Level Motion Planning for a Robot

Robots and automated systems are becoming an ever present part of modern life. The simplicity with which a technology can be used by people without a technological background is paramount to its ad ...
LibGuides: Library Policies: Library Policies

Explains the Library Circulation Policies and Procedures Explains the policies for USMMA and external patrons
Towards a Fault-Tolerant Quantum Computer

The remarkable recent progress in controlling quantum systems has led to an accelerated race towards building a useful quantum computer. A major portion of the recent developments deal with noisy quantum bits and aim at proving an advantage with respect to classical processors. However, in order to fully exploit the power of quantum physics in computation, developing fault-tolerant processors is unavoidable. In such a processor, quantum bits and logical gates are dynamically and continuously protected against noise by means of quantum error correction. While a theory of quantum error correction has existed and developed since mid 1990s, the first experiments are being currently investigated in the physics labs around the world. A central challenge in all these experiments is related to real-time feedback control required for error correction. I will explain how this central challenge can be attacked through passive control and dissipativity. I will also overview a series of recent experimental developments with superconducting circuits (the leading physical platform for developing such quantum processors).