Reviewerly/exHarmony huggingface dataset:
Escrituras y disidencias pedagógicas: una práctica educativa para (des)aprender los cuerpos

The purpose of this work is to present and reflect on the development of an educational practice implemented in the Educational Sciences department at the University of Granada during the 2019-2020 academic year. The practice is based on a workshop titled “Escritura encarnada: cuerpos y disidencias desde las pedagogias cuir”. The workshop, given by writer and activist val flores, was directed at initial teacher training students but open to the university community at large. The workshop was designed as an inventive and thought-provoking collective experience that would allow students to change, question and dispute common writing practices and traditional educational wisdom.
Face Tracker: A Multi Camera Oriented Surveillance Approach

Nowadays the crime rates in society are increasing, it is hard for the police department to give complete surveillance due to lack of manpower. This paper presents the need for facial recognition technology, as part of video surveillance systems. Our system performs face recognition by using the HAAR classifier, extracts the features using the CNN algorithm. The face detection done by the system is more robust, as we are using multiple cameras that capture all possible direction of the human's face. This system gives effective assistance to the police department by using a technique like a face recognition and artificial intelligence in reducing the crime rate of the city and assists in surveillance in real-time.
LibGuides: APA Referencing Style : Periodicals

The aim of this guide is to present concisely the basic rules for citing various types of resources in APA Referencing Style (6th edition).
The Impact of Banking Competition on the Innovation: An Empirical Investigation on the Banking Institutions of ASEAN Countries

The current study aims to examine the banking competition on the innovation of the banking industry in ASEAN countries. The data were extracted from the database of the World Bank and individual banks from 2005 to 2016. The findings exposed thatbanking competition has paly an essential role in the innovation of the banking industry in ASEAN countries. Competition force the institutions to become more innovative and advance in their processes to enhance the performance of the institutions and interest of the consumers. These results give the guidelines to the policy implementers and policymakers that they increase the competition among the banks around the globe because this competition motivates the stakeholder of the banks towards innovation and advancement.
LibGuides: MBA 740 Communications and Critical Thinking for Ethical Decision Making EF: Report your findings in APA style

Produced for Dr. Fubara by Dan Maynard, Adapted from Business Research & Analysis remote delivery LibGuide APA style documentation
Evaluating Multimedia and Language Tasks

Evaluating information access tasks, including textual and multimedia search, question answering, and understanding has been the core mission of NIST’s Retrieval Group since 1989. The TRECVID Evaluations of Multimedia Access began in 2001 with a goal of driving content-based search technology for multimedia just as its progenitor, the Text Retrieval Conference (TREC) did for text and web.
Introduction to the Stat-JR software package

In this video, I talk about a statistical software package StatJR, that we have been developing for nearly a decade at the Centre for multi-level modelling. StatJR is meant to appeal to users of all abilities, from novices right through to experts, who might then develop their own functionality in the package. It is written in Python and has its own estimation engine which we call eStat. In this first talk I describe its main features including its interoperability with other packages. This video is part of an Online Learning Resource produced by NCRM. This is video 1 of 3. https://www.ncrm.ac.uk/resources/online/introduction_to_Stat-JR_software/
Adjusting Pleasure-Arousal-Dominance for Continuous Emotional Text-to-Speech Synthesizer.

Emotion is not limited to discrete categories of happy, sad, angry, fear, disgust, surprise, and so on. Instead, each emotion category is projected into a set of nearly independent dimensions, named pleasure (or valence), arousal, and dominance, known as PAD. The value of each dimension varies from -1 to 1, such that the neutral emotion is in the center with all-zero values. Training an emotional continuous text-to-speech (TTS) synthesizer on the independent dimensions provides the possibility of emotional speech synthesis with unlimited emotion categories. Our end-to-end neural speech synthesizer is based on the well-known Tacotron. Empirically, we have found the optimum network architecture for injecting the 3D PADs. Moreover, the PAD values are adjusted for the speech synthesis purpose.
IMPLEMENTATION REGRESSION ANALYSIS AND K-MEANS TO PREDICT AND CLASSIFY FIXED DATA ASSET IN EDUCATION AUTHORITIES

Regional assets represent regional assets which in essence belong to the respective provincial government. These government assets can play a role as collateral for regional development. The preparation of asset documents aims to safeguard assets from the aspect of regional administration. In this study, the method used are Regression Analysis and K-Means Method. The purpose of this study was to predict and classify fixed data asset using Regression Analysis and K-Means Method. This research was conducted using the Python programming language and the Visual Studio code.
Non-Volatile Kernel Root kit Detection and Prevention in Cloud Computing

The field of web has turned into a basic part in everyday life. Security in the web has dependably been a significant issue. Malware is utilized to rupture into the objective framework. There are various kinds of malwares, for example, infection, worms, rootkits, trojan pony, ransomware, etc. Each malware has its own way to deal with influence the objective framework in various ways, in this manner making hurt the framework. The rootkit may be in some arbitrary records, which when opened can change or erase the substance or information in the objective framework. Likewise, by opening the rootkit contaminated record may debase the framework execution. Hence, in this paper, a Kernel Rootkit Detection and Prevention (KRDP) framework is proposed an avert the records. The avoidance system in this paper utilizes a calculation to forestall the opening of the rootkit influenced record as portrayed. By and large, the framework comprises of a free antivirus programming which is restricted to certain functionalities. The proposed model beats the functionalities by utilizing a calculation, in this way identifying the rootkits first and afterward cautioning the client to react to the rootkit tainted record. In this way, keeping the client from opening the rootkit contaminated record. Inevitably, in the wake of expelling the tainted document from the framework will give an improvement in the general framework execution.
A Comparative Study on Teaching Methods of Singing in Elementary Music Textbooks - Focused on Korea, USA, and Germany -

본 연구는 어릴 때부터 좋은 목소리를 만드는 훈련이 필요하다고 보고, 한국과 미국 및 독일의 음악교과서에 나타난 초등 가창지도 방법을 해당 교육과정과 연계하면서 비교하였다. 한국의 음악교과서에는 좋은 발성에 대한 단편적 설명만 있고 그에 대한 비계 학습 활동이 미미하다. 미국의 경우는 일반 음악교육에서 이에 대한 접근이 거의 이루어지지 않고 있다. 독일에서는 음악과 교육과정에서뿐만 아니라 음악교과서에서 목소리 개발에 대한 구체적 활동들이 제시된다. 효율적 가창지도를 위하여, 자세와 호흡 및 발성은 따로 분리하지 않고 함께 지도될 필요가 있다. 나아가 바른 자세와 호흡에 대한 원론적 안내를 넘어서서 어린 학생들을 위한 구체적 활동이 개발되기를 기대한다.This study has paid attention to the methodological approach in curricula and music textbooks in Korea, USA, and Germany. Simple description of good posture and breath for singing appears in Korean textbooks. Also, American music curriculum and textbooks for general music education rarely mentioned how to practice children’s singing voice. Interestingly, in German’s textbooks, specific activities appear for developing children’s voice and it helps student understand how to sing systematically. This article has two results: First, to improve singing voice, student needs to learn good posture, breath, and vocalization all together. Second, it is a significant point for elementary school’s singing class that music textbooks have to provide practical ideas for voice training.
Genetic Algorithm Optimization Through Handling of Incomplete Data and Reduction

Cervical cancer is a leading gynecologic malignancy worldwide. There are still many weaknesses in the data processing system in handling risk factors for cervical cancer. this research presents optimization techniques and shows the selection of features for the best combination of attributes in the risk of cervical cancer. There are thirty two attributes with eight hundred fifty eight samples. In addition, this data also has incomplete values due to respondents' privacy issues and imbalance data. Therefore, preprocessing techniques are used with regression imputation and data normalization methods. Furthermore, attribute reduction techniques with the optimum index factor (OIF) method are needed to improve the accuracy of the results. The results of research using the Genetic Algorithm method show that the comparison of optimization with reduction and without reduction of attributes has a difference of 1%. Optimization with no attribute reduction results in 95% while results with attribute reduction are 94%.
PEMODELAN SISTEM SERVIS SEPEDA MOTOR PADA CV. BERKAT RR ABADI BEKASI

CV. Berkat RR Abadi Motor was established 2010 because at the time there was no bike shop around the house is located in Perumnas Rawa-Lumbu-Bekasi, I engaged in the service of motor services and sales of spare parts. Spare parts sales system that existed at CV. Independent Motor today still run manually thus making the authors are interested in creating a system that is more computerized and structured by program application and the Design System by UML modeling. CV. Berkat RR Abadi Motor is a business entity engaged in official Motorbike services that provide maintenance, repair and sales of spare parts. In every business activity always has a problem, such as having problems in the vehicle repair system and spare parts sales. This system was designed to help the process of controlling the motor spare parts stock and assist the process of administration and create sales reports. This system which will facilitate the sales process and control of spare parts, so as to give a stock report more accurate motor spare parts. And minimize the possibility of fraud because the stock is more unsupervised motor spare parts
Understanding Paradoxical Nature of Periodic Parrondo Game

That two losing (gambling) games, suitably combined, can result in a winning combination was shown by Juan M. R. Parrondo, and is known as the Parrondo paradox. We explored the periodic sequences of such games to see if it always holds, and why. A systematic study involving DTMC analysis and use of tree diagrams shows that a trade-off between the relative occupation of the capital being in a modulo state and the relative weight of tossing the coins of Parrondo games in that state stabilizes the probability of win for a given game sequence.Keywords-Parrondo game; discrete-time Markov chain (DTMC); tree diagrams; flashing ratchet.
Cloud Deployment Model

CLOUD COMPUTING is a model for enabling ubiquitous, convenient, on demand network access to shared pools of configurable computing resources that can be rapidly provisioned and released with minimal management effort or server provider interaction,
Animate Object Detection and Q Ground Control

The drone surveillance system becomes predominantly important in times of wars for safety and security. Drone surveillance provides visual imagery or video of the site. UAVs flying in military and police operations would aid in various surveillance operations by providing high quality footage to identify various targets. Most drones just provide live video feed through cameras attached to them. They are unable to identify the objects present at the site. This paper proposes the development of a machine learning- based approach for the detection of animate objects in real-time video streams captured from the drone. It also involves the development of a ground controller which will be used to operate the drone in manual mode. The controller has many options for taking off the drone, landing, manual control of the drone, destination setting, etc.
IIR Filter Design Using Cat Swarm Optimization

Design of IIR filters using PSO (Particle Swarm Optimization) has been proposed. However, an objective function of the design problem has a shape like a saddle point under the min-max criterion, and it causes one of the factors of the stagnation. In this paper, a design method IIR filters using CSO (Cat Swarm Optimization) is proposed for a succesive search. The design examples are shown to present the effectiveness of the proposed method.
A SURVEY ON COPYRIGHT PROTECTION OF AUDIO SIGNALS AND STUDY ON THE ROBUSTNESS AND PERFORMANCE ASSESSMENT FACTORS

When technology and the internet users growth increase exponentially, protecting multimedia data becomes a vital role for the owners. In order to protect the data, the signature is embedded into the host audio signal and can extract the signature to prove the ownership whenever needed. In this article, we survey the recent years researched audio watermarking schemes. When the signature is embedded into the host audio signal, the perceptual quality of the host audio should not be disturbed and the schemes should be robust against various attacks such as noise addition, resampling, compression, etc. In this paper, we have examined the different performance assessment factor such as SNR, ODG, and SDG also.
LibGuides: Open Access: Introduction to Open Access

This guide provides basic information about using and producing open access scholarship for students and faculty.
Features of professional training of multimedia design specialists in higher education institutions of the people’s Republic of China

The professional training of specialists in multimedia design in higher educational establishments of the People's Republic of China is considered. The results of the analysis of scientific and methodological literature on the research problem indicate that its various aspects were reflected in the scientific works of scientists who considered the professional skills of future design professionals at the level of higher education (E. Antonovich, Liu Guilin, Liu Chunilin, Schi Chanfa, Yu Zuguan, A. Antipovsky, N. Borevskaya, L. Kalashnik, Liu Donmin, V. Danilenko, M. Opalev, N. Pazura, Su Xiaohuan, N. Franchuk, Zhu Mutsu, Jia Yachen, M. Yakovlev, etc.). At the same time, the problem of professional development of specialists in multimedia design is not sufficiently researched. The psychological and pedagogical peculiarities and organizational and pedagogical conditions of the development of professional training of specialists in multimedia design in higher educational institutions of the artistic profile of the People's Republic of China are theoretically proven. The systematization, comprehension and generalization of the research results are carried out; the features and general tendencies of the modern media industry and its influence on the development of professional training of specialists in multimedia design in higher educational institutions are established; the characteristics of the media environment are outlined, the content and structure of multimedia activities are substantiated, its classification is identified. The essence of the basic concepts of research (professional training, multimedia design, media design) has been specified. The expediency of the main educational blocks, which provide activation of creative possibilities and professional training of specialists in multimedia design in higher educational institutions, is determined; the essence of their constituents is revealed; the theoretical conclusions are specified, the prospects for studying the problem in question are specified.
Adaptation of RF and CNN on Spark

Biological images are used in many applications, most of which are important in medical field. For example, MRI scans and CT scans result in high resolution images that are critical for diagnosis of cancers and other malfunction of organs. Nowadays, high resolution ultrasound images can provide details to examine blood vessel blockage. Another type of biological images are those of mixed patterns of proteins in microscope human protein atlas images.Due to the enormous amount of image data available even in a single medical organization, Machine Learning and Deep Learning technology have been used to assist in the image data analysis.Spark is a computing framework that has been proved to speed up data analysis dramatically. However, Spark Scala doesn't fully support Deep learning algorithms. In this paper, we present a case study of adapting the Random Forest (RF) and Convolutional Neural Network (CNN) to the Spark Scala framework. These algorithms were applied to multi-classes multilabel classification on a biological dataset from Kagglers. The experimental results show that both RF and CNN can be implemented with Spark Scala and achieve extremely high throughput performance.
Multi-carrier Signal Detection using Convolutional Neural Networks

For efficient spectrum sharing between noncooperating networks a fast spectrum scan must be implemented. Frequency, power, bandwidth and modulation have to be quickly estimated to adapt to the environment and cause minimal interference for other users even when protocol is not known. Here we propose to apply convolutional neural network for multicarrier signal detection and classification as it can measure all these parameters from one short data sample. For the classification and detection tasks, six multi-carrier signal modulations were generated. We have measured detection probability and classification accuracy over wide range of signal-to-noise ratios and have estimated the hardware resources needed for the task. In addition, we have studied impact of signal augmentation during training phase on classification accuracy when only portion of the signal is available. We show that signal four times shorter than 5G radio subframe can be sufficient for the task.
Immersive Virtual Reality for Tourism and Creative Industry Development

The growth of Indonesian tourism and creative industries has been focused on cultural andintellectual property issue. Although, the acceleration of VR development, and the compatibility isworth for tourism researcher and professionals to appreciate. Also, the increasing of an immerse VRtechnology is accorded with a creative economy, it relies with the concept that mainly using creativityas the main human production factor. The detailed explanation is carried out by discussing certainliterature study of the VR application. The substantial step is from analyzing the findings, it is aS.W.O.T analysis of VR application for Indonesian tourism and creative industry development. Theresearch concludes to a wider possibility of using the virtual reality application, that is to promote ofIndonesian tourism. Developing a game based on virtual reality application is a great opportunity, it isto enhance the competitiveness of Indonesian tourism on global free trade. Moreover, the detailcontent of virtual reality game application opens up opportunities in new research focus
A versatile photonic entanglement synthesizer in the spatial domain

Multimode entanglement is an essential resource for quantum information in continuous-variable systems. Light-based quantum technologies will arguably not be built upon table-top bulk setups, but will presumably rather resort to integrated optics. Sequential bulk optics-like proposals based on cascaded integrated interferometers are not scalable with the current state-of-the-art low-loss materials used for continuous variables. We analyze the multimode continuous-variable entanglement capabilities of a compact currently-available integrated device without bulk-optics analogous: the array of nonlinear waveguides. We demonstrate that this simple and compact structure, together with a reconfigurable input pump distribution and multimode coherent detection of the output modes, is a versatile entanglement synthesizer in the spatial domain. We exhibit this versatility through analytical and numerically optimized multimode squeezing, entanglement, and cluster state generation in different encodings. Our results re-establish spatial encoding as a contender in the game of continuous-variable quantum information processing.
Research on Japanese Teaching Analysis System Based on Artificial Intelligence

Abstract As one of the current popular technology, artificial intelligence has an important impact on education. Therefore, teachers need to strengthen the use of artificial intelligence equipment in teaching so that it can play its due role in education. Japanese talents are the key required by the current country. Teachers need to analyze their Japanese mastery skills in teaching to grasp the actual learning situation of students. At this time, teachers can use artificial intelligence Japanese teaching analysis system. This article mainly researches the Japanese teaching analysis system based on artificial intelligence, hoping to provide help for Japanese teaching.
LibGuides: Applying for Your First Credit Card: Choosing a card

The purpose of this guide is to instruct someone through the process of applying for their first ever credit card by providing key definitions and resources. There are many credit cards out there, how do you choose the best one for your needs?
Design and validation of a computerised adaptive EFL test

Rapid advances in computer technology and measurement science have made it possible to construct large-scale item banks that can be used in developing computerized adaptive language tests (CALT). Compared with traditional paper-and-pencil language tests, CALT enjoys several salient advantages. The principal merit of CALT lies in its ability to select and administer test items from an item pool that closely matches test takers’ estimated ability, thereby greatly enhancing test efficiency, security, and flexibility in scheduling (e.g., Wainer, 2000). CALT is by no means a novelty; its application has been discussed quite extensively in the field of language testing, though it should be noted that most previous empirical research on CALT has focused on the development of computerized adaptive tests, with validation studies being few and far between.
Learning to predict cervical cancer from Swedish health records by mining hierarchal representations

Learning to predict cervical cancer from Swedish health records by mining hierarchal representations