Reviewerly/exHarmony huggingface dataset:
NoSQL Analisis Workload Pada Implementasi Nosql Document Store Database Menggunakan Orientdb: Analisis Workload Pada Implementasi Nosql Document Store Database Menggunakan Orientdb

The development of the digitalization world currently has an impact on the data generated more and more from time to time so that the phenomenon of big data appears. Big Data is a collection of very large data that allows the processing, storage, and analysis of the data requires a very long time. This makes the RDBMS infrastructure that has been a mainstay in data storage and management has limitations in dealing with big data, so we need a new technology known as NoSQL to handle big data. One of the databases that handles NoSQL data storage and management is OrientDB. In this final project, a performance test of infrastructure built using YCSB's Core Workload will be tested, with variations in data size of (500,000, 1,000,000, 1,500,000 and 2,000,000 records). Each YCSB workload core consists of workloads A, B, C, D, E, F, G and H. The test is done by executing the load process that is insert data and run consisting of read, insert, read-modify-write, and update. Based on testing that has been done, single-node workload performance testing has better performance than multi-node performance. The addition of nodes in each workload test results in longer testing, this is due to the increasing number of nodes, the workload of the device becomes larger and requires a long time in processing YCSB.Keywords: Big Data, NoSQL, OrientDB, YCSB.
POSTER: Construct macOS Cyber Range for Red/Blue Teams

More and more malicious apps and APT attacks now target macOS, making it crucial for researchers to develop threat countermeasures on macOS. In this paper, we attempt to construct a macOS cyber range for the evaluation of red team and blue team performances. Our proposed system is composed of three fundamental components: an attack-defense association graph, a Go language-based red team emulation tool, and a toolkit for blue team performance evaluation. We demonstrate the effectiveness of our proposed cyber range with real-world scenarios, and believe it will stimulate more research innovations on threat analysis for macOS.
Perception 0f virtual university education in the covid19

The processes of social isolation after the infections presented by the covid19, have led to go to virtual training, for this reason, this research has sought to know the perceptions that have been generated in front of virtual education university education in times of covid19, for this purpose, we conducted a cross-sectional design a quantitative descriptive-correlational study with scope, a valid instrument with Crombach alpha of 0 86 which was applied to the 2432 participants The main results highlights the positive correlation is of the age and socio-economic stratum with total perception, as well as face-to-face program students and the social sciences are those who have the lowest perception in front of virtual education university education in times of covid © 2020, Associacao Iberica de Sistemas e Tecnologias de Informacao All rights reserved
Smoothing of Robotic Navigation Trajectories, Based on a Tessellation Generated Weighted Skeleton, Based on Wavefront Dilation and Collisions

Discretization processes adapted to robotic configuration spaces designed to limit the possible positions and movements of a robot in a continuous environment, have been based mainly on four methods for robotic motion planning: potential fields based, cell decomposition, roadmaps and sampling. However, these methods are not suitable for finding smooth routes through obstacles, and at he same time, avoiding collisions and taking into account the dimensions of the robot. This work proposes a new tessellation method using Bézier curves, which facilitates drawing of smooth curves while respecting restrictions imposed by the environment. The method takes into account the dimensions of the robot and, through a vector description of the configuration space, it constructs a skeleton of the configuration space between obstacles, where each point of the skeleton, in addition to having information on its coordinate, includes information about the transverse distance between objects at each point of the skeleton.
The Dark Side of Financial Innovation: Deterrent For Economic Growth

This study explores the impact of financial innovation on economic growth with a unique focus on its detrimental effects. Using data from 164 countries for 1990 to 2017, the paper uses panel OLS regression model with an exhaustive set of variables to conduct the base analysis while GMM is used to accurately study the possible endogenous relationship between financial variables and economic performance across countries. The results show that there is a significant, negative relationship between financial innovation and economic growth, thereby highlighting the dark side of financial innovation. The findings have important policy implications for regulators especially with emphasis on the role of market discipline.
New approach of adapttve secure transmission through flat fading channel based on three-pass protocol

The three-pass protocol is one of the frameworks in cryptography, which provides the privacy of exchanging information safely without distribution of secret or public keys between users. The three-pass protocol method has been put into use within a wireless network environment to transmit confidential data between two nodes with the presence of passive eavesdropper through a flat fading channel that affects the bit error rate. This led to the impact on the confidentiality of the transmission. Therefore, there are multiple challenges to ensure the confidentiality of the transmission and to improve the error rate. In this paper, the data has been encrypted using a One-Time Pad algorithm, and the channel of transmission is authenticated using Hash function. Moreover, the high values of signal to noise ratio have been increased in order to enhance the rate of bit error, so both the confidentiality of the transmission and its error rate are improved. The analysis of the flat fading channel performance is based on the perceptual quality at the rated Signal to Noise Ratio (SNR).
Digital Marketing Optimization in Artificial Intelligence Era by Applying Consumer Behavior Algorithm

There are matters to pay attention to in running a business, specifically marketing that will determine the right types of consumers. We can determine the right customer segments for a product or service by observing their behavior. If the target consumers are in line with the product or service offered, it makes it easier to sell it. However,choosing the right consumer segment is not an easy task. There are aspects need considering to comprehend the behavior of consumers. By benefiting from artificial intelligence and its ability to process multiple factors simultaneously. This study uses a behavioral approach. The three phases conducted in this study are 1) preliminarystudy and initial data collection, 2) initial data analysis and designing optimization algorithm, and 3) application of optimization algorithm and its resulting behavioral analysis. There are three main results: 1) a 1 click/day increase in the number of clicks (from 7 to 8 clicks/ day), 2) a 76 posts/day drop in the number of impressions (from 129to 53 impressions/day), and 3) a 9.66% increase in the click-through ratio (CTR) (from 5.43% to 15.09%). These findings indicate that the optimization algorithm and its application are able to increase digital marketing effectiveness.
Análise comparativa de um banco de dados relacional e um banco de dados em grafos

ABSTRACT Databases are collections of information, which are specially organized for search andfast retrieval. For this, they are structured in order to facilitate the storage, recovery,alteration and exclusion of data in a set, through processing operations. For a long timerelational modeling prevailed for the organization of these databases. However, with thetechnological developments, the emergence of new applications and the considerableincrease of the data volumes, other methodologies of modeling the databases, calledNoSQL, appeared. Among NoSQL modeling, graph databases have gained prominencebecause they perform well in processing large volumes of connected data. Thus, in thiswork a comparative analysis between the graph databases and relational databasesis presented, presenting the main similarities and differences between them, besidesevidencing the positive and negative points of each one, through a case study.
Going Big or Going Precise

Annotated data is a requirement for any kind of modeling of subjective attributes and is usually constrained by a fixed budget available for paying annotators. The distribution of this budget is non-trivial, if the available data is large enough.
PATH PLANNING OF MOBILE ROBOT WITH GROWING NEURAL GAS AND ANT COLONY OPTIMIZATION

This paper presents a new path planning strategy obtained from the combination between Growing Neural Gas (GNG) and Ant Colony Optimization (ACO) algorithms. The proposed strategy was tested in a real mobile robot for two diferent scenarios and compared with the APF approach. Positive and negative points of the proposed strategy are highlighted throughout the text. As one positive point, the proposed path planning strategy presented a better end positioning of the robot in comparison with APF in the performed tests - an aspect of great interest for practical applications in industry and medical area.
핵심 역량과 수학 교과 역량의 관련성 및 교과서에 제시된 역량 과제 분석 : 2015 개정 교육과정 고등학교 ‘수학’을 중심으로

Textbooks play a very important role as a medium for implementing curriculum in the school. This study aims to analyze tasks for mathematical competencies in the high school ‘mathematics’ textbooks based on the 2015 revised mathematics curriculum emphasizing competencies. And our study is based on the following two research question.1. What is the relationship between core competencies and mathematical competencies?2. What is the distribution of competencies of tasks for mathematical competencies presented in the textbooks?3. How does the tasks for mathematical competencies reflect the meaning of the mathematical competencies?For this study, the tasks, marked mathematical competencies, were analyzed by elements of each mathematical competencies based on those concept proposed by basic research for the development of the latest mathematics curriculum.The implications of the study are as follows. First, it is necessary to make efforts to strengthen the connection with core competencies while making the most of characteristics of subject(mathematics). Second, it needs to refine the textbook authorization standards, and it should be utilized as an opportunity to improve the textbook. Third, in order to realize competencies-centered education in the school, there should be development of teaching and learning materials that can be used directly.
The Construction of the Evaluation System of College English Autonomous Learning in Web

Modern information technology with the network as the core is affecting and changing our education. Exploring and improving the evaluation system of college English autonomous learning in Web is the key to education reform. Based on constructivism theory and educational evaluation theory, in the process of constructing the evaluation system, we should make the evaluation target accurate to play a goal-oriented evaluation function, carry out formative evaluation to stimulate students’ learning awareness, reflect the diversification of evaluation subjects to expand the source channels of evaluation information, focus on the diversification of evaluation methods to cultivate students’ self-evaluation capacity and conduct multi-dimensional, multi-directional and multi-level evaluation to improve the reliability and validity of the evaluation. Thus we can make the evaluation system more scientific and rational and can promote to realize the goals of college English teaching.
Modeling Visual Rhetoric and Semantics in Multimedia

Recent advances in machine learning have enabled computer vision algorithms to model complicated visual phenomena with accuracies unthinkable a mere decade ago. Their high-performance on a plethora of vision-related tasks has enabled computer vision researchers to begin to move beyond traditional visual recognition problems to tasks requiring higher-level image understanding. However, most computer vision research still focuses on describing what images, text, or other media literally portrays. In contrast, in this dissertation we focus on learning how and why such content is portrayed. Rather than viewing media for its content, we recast the problem as understanding visual communication and visual rhetoric. For example, the same content may be portrayed in different ways in order to present the story the author wishes to convey. We thus seek to model not only the content of the media, but its authorial intent and latent messaging. Understanding how and why visual content is portrayed a certain way requires understanding higher level abstract semantic concepts which are themselves latent within visual media. By latent, we mean the concept is not readily visually accessible within a single image (e.g. right vs left political bias), in contrast to explicit visual semantic concepts such as objects.Specifically, we study the problems of modeling photographic style (how professional photographers portray their subjects), understanding visual persuasion in image advertisements, modeling political bias in multimedia (image and text) news articles, and learning cross-modal semantic representations. While most past research in vision and natural language processing studies the case where visual content and paired text are highly aligned (as in the case of image captions), we target the case where each modality conveys complementary information to tell a larger story. We particularly focus on the problem of learning cross-modal representations from multimedia exhibiting weak alignment between the image and text modalities. A variety of techniques are presented which improve modeling of multimedia rhetoric in real-world data and enable more robust artificially intelligent systems.
The Old Man and the Musical Score

article reviews the exhibition The Old Man and the Musical Score, featuring the work of the sound art and sound installation artist Kaarel Kurismaa, at the Temnikova & Kasela Gallery in Tallinn, Estonia, in 2020.
Evaluation of The Cloud Computing Training Program for Management of Collaborative Learning Document

Evaluation of the cloud computing training program for the teachers of integrated Islamic elementary school (SDIT) Al-Madina Semarang has been conducted with the facilitation of the Department of Chemistry lecturer as an instructor. The evaluation aimed was to measure the impact of training on increased knowledge and participants â€˜ interest in implementing cloud computing technology. The evaluation Model in this study used a Goal-Oriented Approach (GOA).Â  The instrument of knowledge aspect is compiled using a Likert scale with four options. The measured point includes the fundamental point of knowledge (5 items), after-activity experience (10 items), and collaborative Aspects of collaboration (4 items). The analysis of this study based on calculating the proportion of two criteria, i.e., low and high. 23 Participant Data eliminated to 17 based on completeness of instrument replenishment. The data was analyzed by using percentages. From the initial knowledge side, 12 of 17 entry categories are low. In contrast, 17 out of 17 participants feel confident about implementing cloud computing technology. The strength documents are sent to achieve a result of 100% both in terms of completeness and quantity. While the interest to collaborate gained a result of 12 out of 17 have a strong desire. All activities that have been carried out can be concluded that computing training programCOMPUTING TRAINING PROGRAM has succeeded in increasing the knowledge of participants to manage collaborative learning documents activities succeeded in increasing the knowledge of participants.
The Possibility of Curriculum Reform in Universities Through a Professional Learning Community

이 논문의 목적은 교육과정 개혁의 방법으로 전문학습공동체의 가능성을 탐색하는 것이다. 연구를 위해 A 대학의 지원 프로그램으로 운영된 6개 전문학습공동체의 사례를 관찰했다. 그 결과, A 대학의 전문학습공동체에서 교수들은 첫째, 삶을 공유하고 유대를 형성했다. 둘째, 전문학습공동체에서 교수들은 대학의 교육과정 정책과 관련된 문제들을 털어 놓고 논의했다. 셋째, 교수들은 대학의 교육 정책과 다양한 교육 사례를 접하고, 이를 주제로 논의하고 의미를 형성했다. 넷째, 실천 현장의 문제를 해결하기 위한 방법을 모색했다. 연구자는 조사 결과를 바탕으로 교육과정 개혁방법으로 전문학습공동체의 가능성을 다음과 같이 논의했다. 첫째, 전문학습공동체에서 공유된 정서는 장기적인 교수 협력 문화를 창출할 수 있는 기반이 된다. 둘째, 전문학습공동체 활동을 통해 교수들이 교육과정 개혁에 주체적인 역할을 할 수 있다. 셋째, 전문학습공동체는 대학 본부와 실천 현장을 잇는 소통의 공간이 될 수 있는 것이다. 이러한 가능성을 살리기 위한 시사점은 우선, 전문학습공동체는 교수들 간의 협력 문화 정착을 위해 장기적인 관점으로 접근해야할 필요가 있다는 것이다. 그리고 전문학습공동체를 중심으로 대학의 여러 교육과정 개발 및 실행 수준이 순환적으로 연결될 수 있는 구조가 마련되어야 한다는 것이다.The purpose of this study is to explore the possibilities of professional learning communities (PLC) as a way of curriculum reforms. For the study, the researchers investigated the cases of six professional learning communities operated under the University A’s support program. As a result of the investigation, first, the professors shared their lives and formed a sense of fellowship at the PLC. Second, in the PLC, professors discussed issues related to the curriculum policy of the university. Third, professors learned the university’s educational policy and various educational cases, discussed it as a topic, and built meaning. Fourth, they tried to find a way to solve the problem in the field of practice. Based on the findings, the researchers discussed the possibilities of PLC as a way of curriculum reform as follows. First, the emotion shared in PLC is the basis for creating a long-term culture of teaching cooperation. Second, through PLC activities, professors can play a major role in curriculum reform. Third, PLC can be a space for communication between the university headquarters and the practice site. The implication to take advantage of this possibility is that, first of all, the PLC needs to take a long-term approach to establish a culture of cooperation between professors. In addition, a structure should be prepared to circularly connect the development and implementation of various curriculums of universities around the professional learning community.
ВЛИЯНИЕ ПРОГРАММЫ «САМОПОЗНАНИЕ» НА УЛУЧШЕНИЕ СОЦИАЛЬНО-ПСИХОЛОГИЧЕСКОГО КЛИМАТА В КАЗАХСТАНСКИХ ШКОЛАХ

Abstract. The article reveals the significance of the Self-knowledge program as a factor of harmonization of relationships in the school community. The authors substantiated the necessity and expediency of considering the school climate as an integrative indicator of the effectiveness of the educational system. The purpose of the article is to show the impact of the Self-knowledge program on improving the socio-psychological climate in Kazakhstani schools. Statistical data illustrating the attitude of teachers, students and parents to the educational system of the school based on the Self-knowledge program are presented.
The paremiological element in Festa al trullo by Chicca Maralfa

espanolEste articulo contiene un estudio de las paremias citadas en una obra literaria, concre-tamente Festa al Trullo (Les Flâneurs, 2018), escrita por Chicca Maralfa. Las paremias pertenecen principalmente al dialecto de Fasano (una ciudad en la provincia de Brindisi, en la region italiana de Puglia) y van acompanadas de su correspondencia o traduccion literal en italiano en nota a pie de pagina. El analisis de las paremias realizado por Maria Antonella Sardelli se centra en el empleo de las paremias, su tipologia, las modalidades de insercion y la funcion que desempenan en la obra.Dado que el objetivo de Maralfa consiste en llamar la atencion sobre las tradiciones de Puglia, las paremias aparecen citadas como un elemento mas portador de dichas tradi-ciones, como pertenecientes al discurso espontaneo y voluntario del hablante.Este trabajo muestra la importancia de las formas dialectales dentro de la paremiologia italiana y la necesidad de seguir investigando desde una perspectiva geoparemiologica. EnglishThis article contains a study of the paremias cited in a literary work, specifically Festa al Trullo [The party at the trullo] (Les Flâneurs 2018), by Chicca Maralfa. The paremias principally belong to the dialect of Fasano (a city in the province of Brindisi, in the Italian region of Apulia) and are accompanied by their correspondence or literal translation in Italian in the footnote. The analysis of the paremias carried out by Maria Antonella Sardelli focuses on the use of the paremias, their typology, the insertion modalities and the role they play in the work. Given that the aim of Maralfa is to draw attention to the traditions of Apulia, the pare-mias are cited as a more carrier/bearer element of these traditions as belonging to the speaker’s spontaneous and voluntary discourse.This work shows the importance of dialectal forms within the Italian paremiology and the need for further research from a geoparemiological perspective. francaisCet article presente une etude des paremies que l’on trouve dans le roman Festa al Trul-lo (Les Flâneurs, 2018), ecrite par Chicca Maralfa. Les paremies proviennent surtout du dialecte de Fasano (une ville de la province de Brindisi, dans la region italienne des Pouilles) et sont accompagnees de leur equivalence ou leur traduction litterale en italien en note de bas de page. Maria Antonella Sardelli analyse l’utilisation des paremies, leur typologie, les modalites d’insertion et la fonction qu’elles jouent dans l’ouvrage. Comme Maralfa consiste cherche a attirer l’attention sur les tradition des Pouilles, les paremies sont citees de la sorte que, tel un vecteur, ells portent ces traditions et s’inscriv-ent spontanement et volontairement dans le discours du locuteur.Ce travail montre l’importance des formes dialectales dans la paremiologie italienne et l’interet de poursuivre les recherches dans la perspective geoparemiologique.
Monkey Types Classification Based On Image Using The Gray Level Co-occurrence Matrix (glcm) Method And Support Vector Machine (Svm)

Abstract Monkeys have many types, they are still categorized into 2 parts, namely from the old world and new world. There are only 260 recorded types of monkeys that have existed until now, in the next few years there could be new types of monkeys that will be discovered by experts. Monkeys are intelligent creatures and monkeys are unique animals because their intelligence is almost equal to toddlers. In the future animals especially monkeys and humans continue to evolve, so there may be monkeys with new species and with a new type of intelligence. The development of modern technology, especially in computer vision is very necessary because computers have a hard time distinguishing an animal especially if the differences only in color. There have been many studies on animal recognition or classification using image processing techniques. However, some of these studies are still in a very broad scope and are not focused on one problem. For author cases, there is still few experiments classified type of monkey. Therefore, the author proposed a system using grey-level co-occurrence matrix (GLCM) and Color Histogram mean extraction method, while the classification is using the Support Vector Machine (SVM) method. The result from the experiment is obtained from f1-score, for validation accuracy is 88,66% and test accuracy are 90%. Keywords: Monkey classification, SVM, GLCM, Color Histogram, machine learning.