Reviewerly/exHarmony huggingface dataset:
Multiple moving object Detection and Classification using block based feature extraction algorithm and K-NN Classifier

Surveillance system is used to check the nature or functioning of objects in video scene. It also helps to detect, track and classify multiple moving vehicles like car, bike, bus and truck using feature extraction technique. In video surveillance detection and classification is a very big challenge based on the shape of multiple moving objects. An algorithm or framework is designed for detection and classification of multiple moving objects such as vehicles in this research. Background subtraction is used for detection of multiple moving objects like vehicles using Gaussian mixture model (MOG). Block-based feature extraction approach is applied to get different types of features in video frames. K-nearest neighbor classifier is also used in both feature extraction and classification approach based on different features which include size, descriptors of shape in this research. An algorithm discussed in this paper gives more accurate value (result) rather than multiple virtual detection line (MVDL). This algorithm also improves the accuracy value and reduces the detection (counting) and classification error for multiple moving vehicles in video frames. This approach is also useful for removing occlusion and variable illumination problems in video scene.
БАЗОВЫЕ ПОНЯТИЯ КВАНТОВОЙ ФИЗИКИ ДЛЯ ЭКСПЕРИМЕНТАЛЬНЫХ ПРОГРАММ ДИСЦИПЛИНЫ «КОНЦЕПЦИИ СОВРЕМЕННОГО ЕСТЕСТВОЗНАНИЯ»

The problems of teaching the basics of quantum physics to students of modern engineering universities in the conditions of rigid time frames provided by the discipline program Concepts of modern natural science (CSE)are discussed. The strict time limits established for the study of the do not allow us to consider the basic elements of classical and modern physics even in a relatively complete volume, which reliably provides an understanding of the fundamentally important key aspects of the KSE. Taking into account the personal experience of the authors associated with the of elements of quantum mechanics in the structure of the discipline KSE, allows us to offer the attention of stakeholders a possible course plan KSE with the inclusion of elements of quantum mechanics.
Writing Shaders in UE4

We’re going to look at how to apply what we’ve learned to projects built with the Unreal Engine (UE4). One of the hallmarks of UE4 is the quality of the tools it provides for authoring in-engine content. Nowhere is this more evident than UE4’s material editor, which is one of the best visual material creation tools on the market today. This chapter is going to dive head first into using this tool. Like the previous chapter, it assumes that you already know enough about UE4 to get an object on screen and apply a material to it. If you haven’t gotten that far, there are lots of excellent resources online, and I recommend checking out a few to get your feet wet before returning to this chapter.
CREATING OF STUDENT ROBOTS AS A TOOL TO IMPROVE THE EFFICIENCY OF TRAINING ENGINEERING PERSONNEL

1 Moscow State University of Food Production (RUSSIAN FEDERATION)2 Moscow Aviation Institute (National Research University) (RUSSIAN FEDERATION)
조리 전공 고등학생의 전공만족도 및 전공몰입이 진로준비행동에 미치는 영향: 진로결정 자기효능감의 조절효과를 중심으로

The purpose of this study is to investigate the influence of major satisfaction and major flow of vocational high school students majoring in culinary arts on career preparation behavior. For this purpose, the data collected through a questionnaire survey from four hundred and fifteen students who are majoring in culinary arts at vocational highschool in South Korea. The data were analyzed by using factor analysis, reliability analysis, multiple regression analysis and hierarchical analysis. The results are as follows. Among the satisfaction of relationship with teachers and satisfaction of social perception had a positive effect on the information gathering behavior, and satisfaction of social perception had a positive effect on the tool-preparation behavior. An analysis of the influence of major flow on career preparation behavior shows that only intellectual curiosity flow factor have a positive influence on information gathering behavior, practical efforts and tool-preparation behavior. Career decision-making self-efficacy showed a partial moderating effect between the major satisfaction and the information gathering behavior. Managerial implications and limitations were also discussed.
Sentiment analysis for ranking online shopping sites in Indonesia using the Naive Bayes method (secondary data case study).

Abstract: Lazada, Bukalapak and Blibli.com are companies involved in online markets and malls. To respond to opinions, criticisms and complaints, Lazada, Bukalapak and Blibli.com have a website platform that reviews the services and services offered by the three companies. The website platform is named priceprice.com. The type of comment is a large amount of unstructured text. This condition can cause online shopping companies to miss useful information from a collection of text documents.The setimen analysis is specified in this case study to rank the popularity of online shopping sites in Indonesia. In this study only discussed three online shops, namely Lazada, Bukalapak and Blibli.com.This case study uses the Naive Bayes Classifier (NBC) method with k-fold cross validation testing to ensure data accuracy. The Naive Bayes method is used because it is more suitable in the operation of sentiment analysis in this study compared to other methods. In this study Lazada is the most popular online shop compared to Bukalapak and Blibli.com. Based on calculation accuracy naive bayes uses k-fold cross validation for Lazada to have an average 96,5%, Bukalapak 93,9% and Blibli 89,7%. Keywords : Lazada, Bukalapak, Blibli.com, Naive Bayes
MOBILITY MANAGEMENT IN THE EDUCATIONAL ENVIRONMENT - BEACON APP AS AN ELEMENT OF THE DISPERSED LEARNING ECOSYSTEM

MOBILITY MANAGEMENT IN THE EDUCATIONAL ENVIRONMENT - BEACON APP AS AN ELEMENT OF THE DISPERSED LEARNING ECOSYSTEM
Interface for Farmer and Customer by Avoiding Mediators using Aadhaar Card QR-Code and Location based Distribution of Agricultural Products

This paper discusses about android application to provide the affordable price to farmers by making use of the online market. This application ensure a platform for products obtained from agriculturing which provides direct communication between farmer and consumers. The application provides farmers and consumers to sell and buy the required agricultural products such as fruits, vegetables and etc without the involvement of mediators or middleman for the profitable price. The registration process involves both scanning of QR-code using Aadhaar card and manual method. This process enables both farmers and consumers to get registered. Both farmers and consumers will be more advantageously by using this application.
Probabilistic analysis of two-dimensional vector random processes on the phase plane

Introduction: The models of vector random processes are characterized by a variety of practical applications and, at the same time, by the complexity of studying the detailed probabilistic structure. Such features often lead to considering only separate components of vector functions, forcing the shift to scalar process analysis. All this significantly reduces the overall information content of the research, increasing the relevance of the search for promising approaches to probabilistic analysis of vector processes. Purpose: To present vector random processes in a phase space of states, and to apply the general theory of level crossings of random functions to the study of probabilistic structure of phase trajectories. Results: We have identified the characteristic features of displaying randomprocesses on a phase plane, and introduced numerical characteristics for the description and analysis of probabilistic behavior of samplefunctions. A probabilistic analysis has been performed for the characteristics of the «level crossing» type for vector processes withvarious definitions of the areas of acceptable values. We used the typical models of two-dimensional Gaussian processes and «signalplus noise» models to demonstrate how the probabilistic structure of the phase trajectories depends on the given threshold levels, majordistribution parameters and spectral-correlation properties of the studied processes. Practical relevance: The article contributes tothe research information content and its visualization in the analysis of probabilistic behavior of vector random processes. It combinesgeneral methods of phase space of vector processes, methods of phase plane in the analysis of scalar processes and the theory of levelcrossings of random functions. The classical approaches to the visual description of phase trajectories are supplemented by the methodsof quantitative analysis of detailed probabilistic structure of random functions.
Omnivisi Earable: Continuous and non-invasive monitoring of vital signs

This project is an initiative of the Department of Surgery in Maasstad Ziekenhuis. In the department, two types of patients undergo abdominal surgery: 1) mobile obese patients and, 2) patients with cancer. These types of patients need personal contact and guidance, especially patients with cancer. However, nurses are overwhelmed with work and utilize a great amount of their time to manually measure the vital signs of patients three times a day. These vital signs are heart rate, blood oxygen level, respiration rate, tympanic temperature, and blood pressure. The current method of measuring vital signs is highly inefficient and prone to error. Additionally, there is also a lack of an alarming system that can notify nurses when patients’ health condition deteriorates. Due to this, patient deterioration cannot be detected in time and complications cannot be avoided. When manual measurement of vital signs is digitalized, patients can be continuously monitored. Due to this, small changes in the patient’s health condition can be detected and nurses can intervene immediately. Current wearable devices in the market do not meet the needs and wishes of the user group. Therefore, the initial goal was to design a wearable device that is able to continuously and noninvasively measure vital signs of patients, taking into account the level of comfort for patients and level of user-friendliness for nurses. After extensive research, conceptualization, and testing, one final proposal is presented: Omnivisi Earable, a compact and lightweight wearable device that can measure all aforementioned vital signs in a continuous and non-invasive way. Due to its small form, it does not limit patients from performing their daily activities. It is also user-friendly for nurses due to the lack of wires and extra modules. This makes it easy for nurses to attach the product on the patient's body.
A Novel Technique for the Generation and Application of Substitution Boxes (s-box) for the Image Encryption

The increasing applications of image processing have shifted the focus to the security of images during their transmission. In this work, the main focus is on the security of gray scale images against cryptanalysis attacks. A new model for encryption algorithm of the grayscale image is presented through substitution boxes (s-box). The proposed technique contained two parts; in the first part six different substitution boxes are generated from Galois field and linear fractional transformations. In the second part, the generated substitution boxes are used for the encryption process of message image. For the estimation of the strength of the proposed technique for nonlinearity and strict avalanche criteria, statistical tests and histogram analysis are performed on the substitution boxes and on the encrypted images respectively to check its resistance. The proposed algorithm is more robust as compared to other encryption techniques against attacks in insecure transmission paths.
Estimation of Noisy Logistic Dynamical Map by Using Neural Network with FFT Transfer Function

The aim of this paper is to design a feed forward artificial neural network (Ann) to estimate one dimensional noisy Logistic dynamical map by selecting an appropriate network, transfer function and node weights to get noisy Logistic dynamical map estimation. The proposed network side by side with using Fast Fourier Transform (FFT) as transfer function is used. For different cases of the system, noisy deterministic, noisy chaotic and noise high chaotic, the experimental results of proposed algorithm will compared empirically, by means of the mean square error (MSE) with the results of the same network but with traditional transfer functions, Logsig and Tagsig. The performance of proposed algorithm is best from others in all cases from Both sides, speed and accuracy.
PEMBELAJARAN BAHASA BERBASIS TEKS DALAM KURIKULUM 2013

Language learning in the curriculum in 2013 based on the text. Steps or stages in the cycle of text-based learning is consistent and aligned with the learning based on a scientific approach which characterizes the Curriculum 2013. Kesejalanan and alignment of the text-based learning supports the achievement of integrative knowledge, skills and attitudes that the distinguishing feature Curriculum 2013 and the previous curriculum. Furthermore, the text-based learning in the curriculum in 2013 the role of natural language as a draft or perealisasi science in the form of grammar or leksikogramar strengthened. Thus, the role of language learning across subjects is in line with the globalization paradigm in science.
Secure and Trustworthy Cyber-Physical System Design

This talk discusses some of the design challenges posed by cyber-physical system security at different abstraction layers, from algorithm design to the realization of trusted hardware platforms. We introduce two design problems, namely, detecting sensor attacks in large-scale cyber-physical systems, and systematic design of circuit obfuscation schemes to satisfy system-level security requirements. We then summarize some of the approaches pursued by the research community to address these problems, with the potential of fostering new methodologies, algorithms, and tools for the design of secure and trustworthy cyber-physical systems.
Library Guides: Earth Sciences: Introduction

A library research guide for earth sciences students and researchers at the University of Melbourne.
INTELLIGENT ALGORITHM AN ACCOMPANYING MECHANISM IN BLENDED LEARNING

1 Universidad Autónoma Metropolitana (MEXICO)2 Metropolitan Autonomous University (MEXICO)3 Universidad Autónoma de Ciudad Juárez (MEXICO)
EMPLOYMENT AND PROFESSIONAL ADVANCEMENT PROBLEMS OF UNIVERSITY GRADUATES IN THE INDUSTRIAL REGION OF RUSSIA

EMPLOYMENT AND PROFESSIONAL ADVANCEMENT PROBLEMS OF UNIVERSITY GRADUATES IN THE INDUSTRIAL REGION OF RUSSIA
Oltre la granularità

The intent aim to consider the complexity that emerged from the granularity of digital information as a problem that can be tackled through the use of appropriate tools is here pursued by describing some projects in which the aggregation of documentary contents, using data visualization systems, is configured as an attempt to return and not to reduce the complexity of the relationships that exist between them, proposing models referring to classifications not necessarily of a hierarchical type.
Analyzing Corrective Maintenance using Change Coupled Clusters at Fix-inducing Changes

Due to changing nature of change coupled relation, corrective maintenance of any software system is costly. Existing works on change coupled relation analyzed different areas like change prediction or impact. But, none of those tried to utilize historical information to analyze system maintenance. In this paper, a methodology is proposed by using change coupled relations at fix introducing changes to analyze the corrective maintenance history of the system. This analysis helps to understand which part of the system are prone to erroneous changes.
Analysis of Earliest Deadline First Scheduler in Hadoop

The MapReduce applications used for processing petabytes of data across the enterprise. Controlling the allocation of resources in shared MapReduce environments is a key challenge. Many users require job completion time guarantees. There is an increasing number of MapReduce applications associated with live business intelligence that require completion time guarantees (SLOs). There is a lack of performance models and workload analysis tools for automated performance management of such MapReduce jobs. None of the existing Hadoop schedulers support completion time guarantees(SLOs). A key challenge in shared MapReduce clusters is the ability to automatically tailor and control resource allocations to different applications for achieving their performance SLOs. We implemented a novel SLO-based scheduler in Hadoop by making use of ARIA framework, that determines job ordering and the amount of resources to allocate for meeting the job deadlines. The new scheduler effectively meets the jobs' SLOs until the job demands exceed the cluster resources. This paper is all about EDF Scheduler Design , EDF Scheduling Algorithm, Algorithmic Complexity of EDF Scheduling Scheme as well as SWOT analysis of EDF Scheduler.
A SYSTEMATIC LITERATURE REVIEW OF APPLICATION-BASED MOBILE LEARNING AMONG THE STUDENTS OF HIGHER EDUCATION OF PAKISTAN

Application-based mobile learning (ABML) has a significant impact on the university students learning process and results from the past decade. As a result, the high number of scientific papers have been published that focus on application-based M-learning globally. Thus, ABML related literature from the past 6 years has rather fragmented focusing on the advancement of LMS available on smartphones. In this context, a Systematic Review and Meta-Analyses (PRISMA) was developed that offers a holistic literature review of application-based M-Learning in Pakistan. The Systematic Review was done based on 65 systematically selected articles from 2 databases Elsevier and Springer Nature. The results of this study show that the number of scientific papers on M-learning has been increased from the past 3 years. Therefore, among many aspects application-based M-learning is the most popular research trend in Pakistan, also some of the occurring in the near future are also be illuminated in this research.
EXPERIENCE OF INTRODUCING THE INDIVIDUALISATION OF LEARNING IN SECONDARY SCHOOLS IN RUSSIA

1 Ural Federal University, Ural State University of Economics (RUSSIAN FEDERATION)2 Ural Federal University (RUSSIAN FEDERATION)3 Institute of Education Development of the Perm Territory (RUSSIAN FEDERATION)
A Survey of Deep Learning for Sentiment Analysis

Deep learning has detonated in the publicresponsiveness, primarily as predictive and analytical productspervade our world, in the form of innumerable humancenteredsmart-world systems, including targetedadvertisements, natural language assistants and interpreters,and mock-up self-driving vehicle systems. In contrast,researchers across disciplines have been including into theirresearch to solve various natural language processing issues. Inthis paper we seek to provide a thorough exploration of Deeplearning and its applications like sentimental analysis andnatural language processing (NLP). Deep learning has an edgeover the traditional machine learning algorithms, like supportvector machine (SVM) and Naive Bayes, for sentiment analysisbecause of its potential to overcome the challenges faced bysentiment analysis and handle the diversities involved, withoutthe expensive demand for manual feature engineering. Deeplearning models promise one thing - given sufficient amount ofdata and sufficient amount of training time, they can performthe task of sentiment classification on any text class withminimal restrictions and no task-specific or data-specificmanual feature engineering. We hope this survey provides avaluable reference for new Deep learning practitioners, as wellas those seeking to innovate in the application of deep learning.
A Simple Spin on Gravity

Euclidean interval-time coordinates reveal a surprisingly simple explanation of gravity. From this, gravitational mass, inertial mass and energy inextricably arise with inherent duality.
UNIVERSITY TEACHERS PERCEPTIONS TOWARDS THE ADOPTION AND USE OF EDUCATIONAL TECHNOLOGIES IN THEIR INSTRUCTION: A RESEARCH PERSPECTIVE

UNIVERSITY TEACHERS PERCEPTIONS TOWARDS THE ADOPTION AND USE OF EDUCATIONAL TECHNOLOGIES IN THEIR INSTRUCTION: A RESEARCH PERSPECTIVE
THE ROLE OF DIGITALIZATION AND NEW MEDIA IN HIGHER EDUCATION

Appears in: INTED2019 Proceedings Publication year: 2019Pages: 9898-9905ISBN: 978-84-09-08619-1ISSN: 2340-1079doi: 10.21125/inted.2019.2475Conference name: 13th International Technology, Education and Development ConferenceDates: 11-13 March, 2019Location: Valencia, Spain
A Study on Causal Relationship between Trade, Human Capital and Economic Growth Using Panel-VAR

The purpose of this study is to analyze the causal relationship between trade, human capital accumulation and economic growth and to provide implications for Korean manufacturing industry. The results of panel Granger causality analysis using panel VAR model are as follows. The export, human capital, ‘export and human capital interaction term’ have a causal relationship to economic growth. Economic growth, human capital is the cause of exports. However, Economic growth has no causal on human capital, and exports have causality to human capital but have low statistical significance. Import has Grnager causal relationship with economic growth. Economic growth also has a causal relationship with imports. Therefore, there is a bi-directional causal relationship between import and economic growth. Imports have a causal relationship with human capital and have a higher significance level than those of exports. And the interaction terms of exports and imports with human capital have causal relations with economic growth. This implies that trade can affect human capital and ultimately economic growth through income distribution. But economic growth does not cause human capital accumulation. These results show that human capital is a major causal factor for export, import, and economic growth, and policy efforts are needed to foster human capital for economic growth.
CURRICULUM DESIGN AND INNOVATION – TEACHING DIGITAL INNOVATION AND TECHNOLOGY

Appears in: INTED2019 Proceedings Publication year: 2019Pages: 6404-6412ISBN: 978-84-09-08619-1ISSN: 2340-1079doi: 10.21125/inted.2019.1553Conference name: 13th International Technology, Education and Development ConferenceDates: 11-13 March, 2019Location: Valencia, Spain
Problem Statement and Considerations for ROAs issued with Multiple Prefixes

The address space holder needs to issue an ROA object when itauthorizes one or more ASes to originate routes to multiple prefixes.During the process of ROA issuance, the address space holder needs tospecify an origin AS for a list of IP prefixes. Besides, the addressspace holder has a free choice to put multiple prefixes into a singleROA or issue separate ROAs for each prefix based on the currentspecification. This memo analyzes and presents some operationalproblems which may be caused by the misconfigurations of ROAscontaining multiple IP prefixes. Some suggestions and considerationsalso have been proposed.
<i>Minerals of the English Midlands</i> by Roy E. Starkey. British Mineralogy Publications, 15 Warwick Ave., Bromsgrove, Worchestershire, England B60 2AH; www.britishmineralogy.com. 426 pages; 2018; €35 (softbound), €50 (hardbound).

"Minerals of the English Midlands by Roy E. Starkey. British Mineralogy Publications, 15 Warwick Ave., Bromsgrove, Worchestershire, England B60 2AH; www.britishmineralogy.com. 426 pages; 2018; €35 (softbound), €50 (hardbound).." Rocks & Minerals, 94(3), p. 286