Reviewerly/exHarmony huggingface dataset:
Évaluation d’infrastructures sémantiques à large échelle pour la détection d’intrusion dans un centre d’opérations et de sécurité de l’information

RESUME : Pour repondre a la croissance de la menace en cybersecurite, les entreprises, particulierement les institutions financieres, centralisent les ressources humaines et technologiques de securite dans un Security Operations Center (SOC).Cependant, le volume important d’informations a traiter par les analystes ne fait que retarder le temps de reponse en cas d’incidents. Pour accompagner les analystes de securite dans leur investigation, de nombreux outils analytiques ont ete developpes. Neanmoins, ces outils n’o˙rent pas les meilleures performances quand il s’agit de nouvelles menaces.Une des solutions etudiees est l’utilisation d’ontologies pour renforcer les capacites analytiques des analystes de securite. En creant un systeme expert s’appuyant sur l’ontologie et ses proprietes semantiques, on pourrait ameliorer la mise en relation d’evenements et d’entites dans le SOC et ainsi ameliorer la correlation d’evenements.Cette approche serait prometteuse si les bases de donnees RDF (Resource Description Fra-mework) ont la capacite de traiter en temps raisonnable les volumes de donnees transitant dans le SOC. C’est le sujet de notre recherche. Nous avons d’abord repertorie les caracte-ristiques pertinentes des bases de donnees de graphe dans le contexte d’un SOC.----------ABSTRACT : To respond to the growing cyber threat, companies, particularly financial institutions, are centralising human and technological security resources in a Security Operations Center (SOC).However, the large amount of information to be processed by the analysts only delays the incident response time. To assist security analysts in their investigation, many analytical tools have been developed. However, these tools do not o˙er the best performance when it comes to new threats.One of the solutions studied is the use of ontologies to reinforce the analytical capabilities of security analysts. By creating an expert system based on ontology and its semantic properties, one could improve the relationships between events and entities in the SOC and thus improve event correlation.This approach would be promising if RDF (Resource Description Framework) stores have the capacity to handle the volumes of data passing through the SOC in a reasonable time. This is the subject of our research. We first identified the relevant characteristics of graph databases in the context of a SOC. By relating these characteristics to the needs of di˙erent levels of security analysts in the SOC, we propose a decision guide for the choice of the RDF store according to the scenario.
Land Price Modelling with Radial Basis Function (Case Study: Utan Kayu Selatan Village, East Jakarta)

The price of land is an important matter that needs to be assessed by stakeholders. The study of land prices has an important role in seeing the stability of the property market. Several factors affect the property business such as accessibility, public facilities and social facilities. Utan Kayu Selatan is the largest village in Matraman Sub-District with an area of ​​1,12 kilometers. The potential of the property business is very tempting for investors to property developers. One of the economic sector developments is Utan Kayu Raya Road, which can increase land prices in the surrounding area. The factors that influence land prices can be analyzed through several approaches such as regression, mass appraisal and other. In this study, the method used in estimating land prices is the Radial Basis Function (RBF), by looking at the relationship between the distance of plot to roads, public facilities and social facilities. Modeling is carried out based on samples determined on ZNT and NJOP land prices. Furthermore, the calculation of the distance is done by using network analysis. As a result, the RMSE value for the NJOP RBF model and the ZNT RBF model is IDR 1.179.839 and IDR 2.972.345. Meanwhile, the CoV values ​​for both models were 6.2% and 6%. In the comparison of ZNT price predictions with market prices, the highest difference is IDR 13.119.915 and the lowest difference is IDR 537.009. While on the NJOP price prediction, the highest difference is IDR 15.797.583 and the lowest difference is IDR 291.270.
Blockchain Solutions for Big Data Management

The managing of unprecedented growth of data in the growing world is an important task. Knowing that the world is facing development in the numerical aspects and multiplicity of digital data that are normally produced by both consumers and technologies, dealing with this huge amount of data and finding the finest way to store, process, and organize it is necessary. This is the point where blockchain comes into the picture by providing significant inputs as it is the decentralized system for private data. Certainly, several industry experts are considering blockchain and its welfare for many improvements in different fields. Big Data is the recklessly rising sector in the ecosphere as every industry wants to get an understanding of the customs arrangements of their customers, where Big Data mentions huge datasets that are examined to divulge fundamental outlines using progressive statistical representations and data mining. The data produced is of petabytes range and when we are dealing with such a large range of datasets, problems related to it arise and not only collection of data is focused but security measures are also given extra importance, and proper care of produced data is taken so that no malicious action takes place.
Law Enforcement Organizations: Possibilities and Challenges for the Future

Some previously legal activities are classified as illegal these days, and a number of today's crimes could be deemed lawful in coming years. Law enforcement leaders must accept the reality that change is inevitable, and preparing for it is an ingredient for increasing success. Current indicators may help organizations project what the future will hold for policing.
ONLINE DIGITAL TOOLS FOR THE ACQUISITION OF TRANSVERSAL SKILLS AND THE APPLICATION OF THE SDGS IN THE “NEW NORMAL” COVID-19

ONLINE DIGITAL TOOLS FOR THE ACQUISITION OF TRANSVERSAL SKILLS AND THE APPLICATION OF THE SDGS IN THE “NEW NORMAL” COVID-19
Cómo definir la experiencia de aula que han tenido docentes y niños con ayuda de la tic durante los últimos 10 años

The objective of this investigation was to research about the experience of teaching and learning that have obtained teachers and students under the age of 9 with the help of the information and communication technologies in the classroom during the last 10 years. This investigation was a product of a “State of the Art” in which four categories of analysis were considered: 1. level of formation and perception of the teacher. 2. Acquisition of competences in children. 3. Experience in the classroom and pedagogical practice. 4. ICT in languages and specific subjects.Through the investigation of these four categories, it was found that even though technology and science have advanced, a lot of the tools that they offer are not yet available to all teachers and students, due mainly to financial problems, low school budgets, lack of interest and training in teachers and prejudice and concerns about the efficiency of the use of these resources in teaching. But also, it manifested the utility of these programs to promote and motivate learning in children and facilitate the labor of the teachers.It was shown that school can’t be a stranger to the technological advances of these times, because school is the generator of the future leaders and conductors of mankind.Keywords: Teachers, Kids, TIC, primary education, teaching and learning, experience, training, motivation, pedagogical tools, innovation, infancy, State of the Art, Internet.
SISTEM INFORMASI PENDATAAN KELUARGA MISKIN DENGAN PARAMETER PENGHASILAN DAN KONDISI RUMAH DI DESA HUTARAJA

An information system is one of the systems that are currently a very appropriate tool. This information system is expected to help everything dealing with the population such as data collection on poor family residents. The current condition in the Hutaraja village head's office is that the data collection system for poor families is still running manually. Where in the application of this data collection system there are several things that become obstacles. The obstacles that occur are in terms of effectiveness, time efficiency, and accuracy of the data collection process. The current form of data collection report is still manual in nature which can complicate the process of finding data, and the possibility of data loss results from the data collection. With the above reasons, the writer tries to provide alternative solutions to the problem by making an application of data collection on poor families that will be made systematically and computerized. This writing will also explain the stages of work, starting from the process of analysis, planning, design using the PHP programming language (Hypertext Preprocessor), Boostrap Framework, and MYSQL database, with the aim to find out what data is input and output on the running system. With the existence of an information system on the collection of poor families, it is expected to be able to minimize the constraints that occur in the previous system and assist in the completion of the data collection of poor citizens and properly stored reports.
Human Body Movement Identification

Abstract Human Body Movement Identification is the recognition technique of moving human behavior, it detects and traces the moving human body movements. A 3D human body is expressed by a multi-joint model and describe the posture by a set of joint angles. It is necessary to recognize the human body movements for computer-human interaction. It is useful in many scientific and security fields. It can be used in camera surveillance, sports as well as military applications. In this system, we propose a method to estimate human movements using Deep Learning and Machine Learning features with Pretrained Data set. Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. The method does not depend on clothes and orientation under noisy conditions so that the human movement can be estimated stably.
An Oratory in the Figures of Speech of Somdej Phrabuḍhacharaya (Kiew Upaseṇo)

The objective of this academic articles is to study the part of presentation strategy, the technique of composing rhetoric art and the speech acts strategy in Dharma preaching of Somdej Phrabuḍhacharaya in 9 Dharma books.The results from the study the part of presentation strategy found that preaching found that there were: 3 i.e. introduction, continuity and ending. Preachment found that there were: 4 i.e. title, introduction, continuity, and ending. The technique ofcomposing rhetoric art found preaching have to use of friendly words, to create a new proverb and preachment have to use of informal language and Buddhist proverb. And 7 types of speech acts strategy i.e. speech act of asking, speech act of need, speech act of humor, speech act of order, speech act of warning, speech act of introduction and speech act of question
LibGuides: Instructional Services: Library Support for Online Instruction: Library Instruction via Zoom

This guide provides information on how Idaho State University libraries supports faculty who teach online courses. When you need active participation in your course from a librarian.
APPLICATION OF EDUCATIONAL ROBOTICS IN THE PEDAGOGICAL PROCESS

Educational robotics and its trends determine the innovative and creative educational context. This article discusses the current issues of rethinking educational robotics. Attention is focused on the potential for expanding the capabilities of educational robotics and the pedagogical capacity building of intelligent technologies in this area. Examples of the introduction of robotics in education, namely in physics and computer science classes, based on the Lego Education and Arduino are considered. Specific topics for the physics teachers are presented in the following section:" Mechanical movement "based on Lego;" Sound and sound waves. Speed wave", "Theory of electrical circuits" based on electronic components. For computer science teachers-programming on the Arduino IDE and drawing diagrams based on the Sprint Layout 6.0 program are offered. At the same time, the article can be a prototype for the application of educational robotics in other disciplines and the implementation of interdisciplinary connections.
Library Guides: Curriculum Center & Curriculum Collections: School Teacher Librarians

Due to the coronavirus upset, many publishers and educational organizations have exceptional online content for children, teachers, parents, and anyone interested in children's books
Cognitive cost and information gain trade off in a large-scale number guessing game

Author(s): Binder, Felix Jedidja; Jones, Cameron R; Kaufman, Robert A; Lin, Naomi T; Poole, Crystal R; Vul, Ed | Abstract: How do people ask questions to zero in on a correct answer? Although we can formally define an optimal query to maximize information gain, algorithms for finding this optimal guess may impose large resource costs in space (memory) and time (computation). To understand how people trade off the information gain and the computational difficulty of choosing the ideal query, we turned to a large dataset of 380,000 guesses made during a number-guessing game with Amazon Alexa. We analyzed whether the arithmetic difficulty of following the optimal strategy predicts how far a guess deviates from theoretically optimal query. We find that when memory load is higher, and when more arithmetic operations need to be performed, human guesses deviate more from the most informative query. These results suggest human computational resource constraints limit how people seek out informative questions.
LibGuides: World History: More Help

This Library Guide will help students find the resources they need for their history research.
KEMAMPUAN MENULIS KARANGAN EKSPOSISI PADA SISWA KELAS X SEMESTER GANJIL SMK PGRI 2 BANDAR LAMPUNG TAHUN PELAJARAN 2018/2019

The problems raised in this study relate to the ability to write exposition essays on Class X Students of SMK PGRI 2 Bandar Lampung Academic Year 2018/2019. The Writing Ability studied is writing an exposition essay with several assessment criteria, namely the suitability of the title with the content, use of informative and denotative language, overall content, and neatness. The purpose of this study was to find out and describe the ability to write exposition essays on students. The method used in this study is descriptive qualitative. The data analyzed are in the form of sentences and are qualitative in nature, data taken from 22 students in class X of SMK PGRI 2 Bandar Lampung. Data collection techniques use written tests in the form of assignments. Research results can be described as follows. First, the ability to write with regard to the suitability of the title with the contents. Second, the use of informative and denotative languages. Third, the overall content. Four, neatness. Based on the form of delivery of the purpose of the writing found the ability to write on the aspect of the suitability of the title with the content is considered good. Based on the overall content is considered good. Based on the neatness of students in writing, it is considered good. But in terms of the use of informative and denotative language students are said to be sufficient, students are considered to be quite capable in using informative and denotative languages ​​in writing.
A reconstruction method of 3D face model from front and side 2D face images using deep learning model

In this study, we focus on automatic three-dimensional (3D) face reconstruction from two-dimensional (2D) face images using a deep learning model. The conventional methods have been used to develop models that can reconstruct 3D faces from 2D images. However, for Japanese faces, the models cannot accurately reconstruct images, large errors occur in areas such as the nose and mouth, because most of the training data are foreigner’s face images. To solve this problem, we proposed a method that uses not only a frontal 2D face image but also a side-view 2D face image for the 3D face reconstruction, and the resulting 3D model is a combination of two 3D reconstructed models, which are created from the frontal and side-view 2D face images using iterative closest point algorithm. As a result, the accuracy of the proposed method is better than the conventional method.
LibGuides: Music: Citation Help

This guide is intended to help students studying music subjects within the Visual and Performing Arts department.
PENGARUH INDEX EL NINO TERHADAP CURAH HUJAN DI BANDARA MELONGUANE KABUPATEN TALAUD

Rain is one of the most important climatic elements, but its existence spatially and temporally is still difficult to predict. Apart from being dynamic, the physical processes involved are also very complex. This rainfall uncertainty is getting bigger when climate anomalies occur in the form of El Nino and La Nina. To determine the changes in the el nino index when it rains, in this study a cross-correlation coefficient method with time lag on rain events will be carried out by utilizing data from observational data at the location of the BMKG Sam Ratulangi Meteorological Station. This method used a tool to predict the connection of a data series x (input) with data y (output) in a system. In order to perform a cross-correlation analysis, the two series must be sampled at the same time interval. The secondary data on rainfall and the El Nino index obtained by the researcher have a time interval of half an hour and start from 7 am to 6 pm. The correlation coefficient value of the El Nino index with rainfall in 2015 shows a coefficient value of -0.26467, in 2016 it shows an efficiency value of -0.43383, in 2017 it shows a coefficient value of 0.37771.
An Extension of the Avalanche Criterion in the Context of c-Differentials

The Strict Avalanche Criterion (SAC) is a property of vectorial Boolean functions that is used in the construction of strong S-boxes. We show in this paper how to generalize the concept of SAC to address possible c-differential attacks, in the realm of finite fields. We define the concepts of c-Strict Avalanche Criterion (c-SAC) and c-Strict Avalanche Criterion of order m (c-SAC(m)), and generalize results of (Li and Cusick, 2005). We also show computationally how the new definition is not equivalent to the existing concepts of c-bent1-ness (Stanica et al., 2020), nor (for n = m) PcN-ness (Ellingsen et al., 2020)
Development of 3-Dimensional holographic projection for lecture purpose / Nurfatehah Md Pauzi

The current method of distant learning is using 2-D means of communication which is via texts and calls, and even most advance is through webinar are highly sought after means of transferring knowledge. This is due to the current condition of the world which is movement towards Society 5.0 and is more needed in 2020 where the whole world was in lockdown due to pandemic Covid-19. Online learning, although helps in transfering knowledge despite the distance barrier, has lost a crucial sense of human touch, which is especially needed for courses that requires human face-to-face teaching. 3-Dimensional Holographic fabrication represent a strategy for addressing solution to this issues. 3-Dimentional Holographic Projection Technology were analyzed and its knowledge had been organized according to its key element, which the core concept, components involved and parameter measured. The experiment was executed to determine most optimal luminance value, using a particular value of optical arrangement and video settings under four different conditions.
TECHNOLOGICAL TOOLS IN THE TEACHING MANAGEMENT OF THE TRAINING PROCESS PLAN FOR THE HOME UNIVERSITY AND DISTANCE EDUCATION

The main objective of this article is to explain the potential offered by technological tools, as a complement to comply with the management of university teachers, the context of the COVID-19 pandemic, along with the evolution of Technologies of Information and Communication (ICT). The University at Home and Distance Education Plan (PUCED) developed by the Ministry of Popular Power for University Education of Venezuela was taken as an object of study, and it highlights the opportunities in terms of its application not only for the influence that notoriously impacts the student but also all the advantages it brings to the teachers. The methodology used was documentary research through the method of content analysis through systemic review that generated the following conclusion, the PUCED training processes regarding teacher adaptation have been marked by the need to train from the distance education, which proposes a complementation between traditional pedagogical resources with the ICT that they have. However, the incipient need for teacher training in the management of technologies for pedagogical purposes forced the MPPEU to enter into a process of constant and progressive training, the result of which has been a radical transformation in its vision of the distance teaching-learning process.
The development of website-based electronic teaching materials on central tendency materials to support online learning

During the implementation of online learning caused by the Covid-19 pandemic, there are some obstacles that occurred in the class. Almost 40% of students in observation class felt bored and spent more time doing assignments during online learning.  Hence, to stimulate the activeness of students it is needed to develop website-based electronic teaching materials on central tendency material which has valid, practice, and effective criteria and can support online learning. The development model used is the 3-stage Plomp Model, namely (1) preliminary research, (2) development or prototyping phase, (3) assessment phase. The subjects of this study are 30 students in the 8H class of Junior High School 8 Malang. The results of the validation test show that the product is valid based on the validation sheet by an expert validator and a practitioner validator which get an average score of 3.9. The results of the practicality test show that the product is practically based on the teacher's and the student's response questionnaire sheets which get an average score of 3.67. Besides, about 79% of students agreed that the product is interesting. The effectiveness test shows that the product is effective since 86.7% of students met the minimum KKM score in the evaluation test. So, it could be concluded that the product  developed can be used to support online learning.