Reviewerly/exHarmony huggingface dataset:
마을교육공동체 지원을 위한 시·도교육청의 조례 내용 분석

The purpose of this study is to analyze whether ordinances enacted by metropolitan and provincial offices of education nationwide to support the Maul education community contain necessary contents to function according to the purpose of legislation and to reveal characteristics and improvement tasks. As a result of analyzing 15 ordinances, it was found that cooperation, win-win, and community value orientation between schools and communities are well revealed as general discussions, but the content needs to be strengthened in detail. It was confirmed that the roles or methods of participation of villagers and community education activists were not presented, and that administrative cooperation between the Office of Education and local governments should be presented in more detail. It was also confirmed that there was a lack of regulations for the establishment and operation of a continuous and stable maul education community support organization, and responsibility for financial support or financing methods should be specified. In addition, it was found that most of the ordinances require improvement in similar areas. Research is needed to confirm the effectiveness of future ordinances.
Visual analytics for data scientists

"Visual analytics for data scientists." International Journal of Cartography, ahead-of-print(ahead-of-print), pp. 1–2
Linear Filter Design

A concise introduction to geophysical data processing - many of the techniques associated with the general field of time series analysis - for advanced students, researchers, and professionals. The textbook begins with calculus before transitioning to discrete time series via the sampling theorem, aliasing, use of complex sinusoids, development of the discrete Fourier transform from the Fourier series, and an overview of linear digital filter types and descriptions. Aimed at senior undergraduate and graduate students in geophysics, environmental science, and engineering with no previous background in linear algebra, probability, or statistics, this textbook draws scenarios and datasets from across the world of geophysics, and shows how data processing techniques can be applied to real-world problems using detailed examples, illustrations, and exercises (using MATLAB or similar computing environment). Online supplementary resources include datasets for students, and a solutions manual and all the figures from the book as PowerPoints for course instructors.
Digital Reading Engagement of Junior High School Students during the Online Learning

The pandemic of COVID-19 has forced the teachers and students to hold the teaching and learning remotely. All the process of learning was conducted online via various mobile applications. Students widely use smartphones as a medium to receive learning materials, join online classes, and study. However, it was questioned whether students are engaged with their reading materials when they have to read the texts on screen or digitally and learn from them. It is expected that the use of digital devices has influenced students' reading engagement, especially when the reading is to learn. This study aims to find out about the students' engagement in reading digital texts during online learning. The study collects the data from self-report questionnaires, interviews, and observation. The result shows that students do not experience behavioral and affective engagement as well as a negative response while they are reading the texts onscreen during online learning.
A study on the top portion of a modern cheok-dok book

In the early 20th century, to respond to the expanding postal culture of each class, a variety of cheok-dok books were released, and in addition to showing the basic letter rules, they provided various supplementary materials using the blank space in the top portion of the text. In this study, 6 books were selected, and their top portion data were reviewed. By examining the composition and contents of each cheok-dok book, the obscure data in the cheok-dok books published in the early 20th century provides a supplementary explanation for the main body letter rules. It also has a role as a device to help develop Chinese language and Japanese language skills. What s more, through the process of examining the connectivity and complementarity between the top portion and the main text, it was possible to grasp the target readership that each cheok-dok book aims for to some extent.
Ohlédnutí za Mezinárodním kongresem psychologie ICP 2020+

In July 2021, one of the most important professional events took place, organized by the Czech psychological community, respectively the Czech-Moravian Psychological Society, together with other partners, especially Computer System Group a.s. as the PCO, and with universities and research institutes in the Czech Republic. The International Congress of Psychology under the auspices of the International Union of Psychological Science was postponed from 2020 due to the COVID-19 pandemic, however, even in 2021, the situation did not allow organizing such a large international event in the usual way. ICP 2020+ was therefore held online with a virtually seamless implementation, for which the CSG technology team is truly grateful. [Congress report].
Cars

The hardcore Lotus Exige Sport 350 gets some updates keep it as competitive as ever.
2021 Humies winners awarded at GECCO!

The GECCO Conference, held virtually this year in Lille, France, July 10-14, was the home for the 18th Annual Human-Competitive Results Awards. The Humies competition annually awards $10,000 in cash prizes for computational results that are deemed to be competitive with results produced by human beings, but are generated automatically by computer. This year, there were 20 entries submitted, and the judges selected six of those to be finalists, based on the papers and entry forms they submitted. Because GECCO was virtual, the six Humies finalists did not present live talks, but instead submitted 10-minute videos that were shown during the Humies session and viewed by the judges in making their selections of the prize winners. All 20 entries and the six finalists' videos are all available to the general public at the website for the Humies, www.human-competitive.org, so anyone can watch them there.
An Analysis on ECSE Load Balancing Algorithm with CDC as a Service Broker Policy in Cloud with Heterogeneous Communication and Device Characteristics

Load balancing algorithms and service broker policies plays a crucial role in determining the performance of cloud systems. User response time and data center request servicing time are largely affected by the load balancing algorithms and service broker policies. Several load balancing algorithms and service broker polices exist in the literature to perform the data center allocation and virtual machine allocation for the given set of user requests. In this paper, we investigate the performance of equally spread current execution (ESCE) based load balancing algorithm with closest data center(CDC) service broker policy in a cloud environment that consists of homogeneous and heterogeneous device characteristics in data centers and heterogeneous communication bandwidth that exist between different regions where cloud data centers are deployed. We performed a simulation using CloudAnalyst an open source software with different settings of device characteristics and bandwidth. The user response time and data center request servicing time are found considerably less in heterogeneous environment.
HAS BITCOIN REACHED ITS INFLECTION POINT? BUSINESS INNOVATIONS DRIVEN BY TECHNOLOGY

ABSTRACT For the traditional business and financial system based on highly regulated financial intermediaries with a legal monopoly, an alternative sector is emerging (like Bitcoin); which is based on an often-different market infrastructure that allows the direct allocation and acquisition of funds on a P2P or B2B basis as well as on other rules and intermediary entities. We are analyzing two variables via curvilinear regression (p-value<0.01) Bitcoin blockchain in gigabytes and Bitcoin price in US Dollars; this last variable presented a cyclical phenomenon during the last four years. The report finishes with an open question: What will happen when the application of Bitcoin as a tax-free currency ends? Keywords Bitcoin, inflection point, technological innovation, curvilinear regression
A COMPARATIVE STUDY AMONG THE MAIN CATEGORIES OF NoSQL DATABASES

Relational databases are usually used for data storage and retrieval.They are suitable for limited data volume.But when it comes to Bigdata, we need to use more flexible databases that satisfy the need to handle semi-structured and unstructured data.These databases are called NoSQL (Not only SQL) databases.This type of database was developed to interact with data of large volumes.NoSQL databases provide many features such as scalability, availability, replication models, file sharing, and schema-free.This paper's main purpose is to present a comparative study of the five main categories of NoSQL databases; key-value stores, document stores, column family stores, graph stores databases, and object store NoSQL systems.Also, it discusses the famous database management systems for each one of these five categories.The comparison criteria used are performance, scalability, flexibility, complexity, and functionality.Moreover, this paper presents an overview of big data concepts.It briefly discusses the SQL databases versus NoSQL databases in terms of their high-level characteristics.Furthermore, this paper emphasizes the advantages and disadvantages of NoSQL databases.It illustrates the query languages in both SQL and NoSQL databases and represents the most common uses for each category to help users choose the most convenient DBMS for their organization.
ORGANIZATION OF PROJECT ACTIVITIES IN TRAINING IN EDUCATIONAL ROBOTICS OF FUTURE TEACHERS OF INFORMATICS

The article analyzes the experience of organizing project activities in teaching educational robotics to bachelors, future teachers of informatics. The main methodological possibilities of using this method for the formation of basic competencies are considered: the foundations of design, programming, the ability to work with the online constructor TRIK Studio, as well as the development of skills for collective research activities. The article formulates the stages of work on the project and the functions of its participants within the discipline «Educational robotics». The analysis of projects completed by students in the online constructor TRIK Studio was also carried out: the movement of the robot in a circle, along a line and along a maze. Based on the experience of using project activities, certain aspects of the implementation of project activities in teaching students have been established. Project activity allows you to implement your ideas and analyze the results of research, i.e., acquire new knowledge and skills that cannot be acquired using theoretical teaching methods.
Emotional intelligence - creating a new roadmap for artificial intelligence

Artificial intelligence (AI) changing the world with the power of creating intelligent solutions capable of autonomous decision-making and self-diagnostic abilities. Recent research on AI tends towards the use of emotional intelligence in artificial systems. A clear understanding of human emotion or cognitive behaviour can help an artificial system to become more rational and unbiased while making any decision. If a machine can think or feel like a human, it can be converted into a better decision-making system. This paper has performed a thorough review of state-of-the-art technologies and researches going in this particular field and tries to find out the current roadmap as well as the future trends in this area. This paper presents several types of research that are going on in this area and future trends.
N.N. Iordansky: about Social Education in the Soviet School (First Post-October Decade)

The purpose of the article is to consider the views and assessments on the issues of social education of one of the prominent representatives of the Russian scientific and pedagogical community N.N. Iordansky, to trace their connection with the present. Research material. Scientific and pedagogical works of N.N. Iordansky became the material for the research. Research results and conclusions. One of the main directions of scientific and pedagogical activity of N.N. Iordansky was the issues of social education. The ideas and recommendations formulated by him were aimed at preparing a thinking and practically oriented graduate at school, capable and striving to independently acquire knowledge, determine his place in life and who is ready to successfully move along the intended path. They represent not only an important contribution to the history of pedagogical thought, but are also relevant for modern pedagogy.
PRIVACY PRESERVATION IN DIGITAL ECONOMY PLATFORMS

As we know, we are living in the era of the digital economy, which relies on electronic computing. In any technological or digital economy field, privacy preservation is our major concern. Every device that can process, store, or communicate needs privacy. The privacy preservation field is polished by many researchers based on cloud computing and big data. New research on privacy preservation based on cloud computing, big data and other platforms creates innovation in this field. This paper proposes existing different techniques which are helpful in the field of privacy preservation and trying to explore the field from numerous aspects. We are making a comparison of different techniques and analysing it deeply with the multiple types of constraints which relate to privacy. It includes the combined ideas of different authors about their work carried out from the different types of platforms. This paper also addresses the security threats and how to overcome these privacy threats. Future or emerging trends about privacy preservation against big data and cloud computing are discussed.
Hybrid Map building using SLAM with loop closure

SLAM is one of the most popular methods used to build a map for mobile robots. However, it has a cumulative error due to wheel slippage and uneven floor, and the built map may show a different location from actual location. In this research, we use a method called loop closure to eliminate the cumulative error. Furthermore, we add information of magnetic direction on the map and use it to correct the heading direction of the mobile robot during the autonomous navigation to make the autonomous navigation method more robust.
The Wolf

You’ve heard of the 10x engineer, but I am here to tell you about the Wolf. They are engineers, and they consistently exhibit the following characteristics:
Illustrator Tools

This chapter shows how to use a few additional Illustrator tools that can help you re-create your artwork further.
From Acceptance to Publication

This chapter introduces the reader to some of the procedures and problems that arise once a paper moves on to the publishing process. Publishing houses have different ways of operating through different modalities. Issues with proofs (who deals with them – author or publisher?) are discussed. The steps that occur after proofing are described.
Adducing evidence

Now in its second edition, Australian Uniform Evidence Law provides a clear, accessible introduction to the law of evidence. Following the structure of the Evidence Act 1995 (Cth), the text introduces students to basic principles, then covers more complex elements of evidence law. Cases and excerpts from legislation have been selected to guide students through the application of the Act. This edition has been updated to include significant recent case examples and decisions. Each chapter includes a summary of key points, definitions and practice questions to encourage students to apply their knowledge to realistic scenarios. The final chapter comprises longer-form, complex problems designed to test students' understanding of the concepts and rules covered in the Act as a whole. Guided solutions to each question are provided so students can check their understanding. Providing clear explanations and examples, Australian Uniform Evidence Law is an essential resource for all students of evidence law.
Research on omni-directional mobile robot tracking location and motion trajectory in complex environment

With the continuous improvement and maturity of mobile robot technology, a wheeled robot has been applied in many fields, such as military, industrial, service, transportation, etc., and has become an important tool to assist or replace people to complete specific tasks. In general, the working environment of a wheeled mobile robot is mostly outdoor, and the environment it faces is relatively complex, which restrains the autonomous movement and remote operation of the robot. Therefore, in this paper, an omnidirectional mobile robot is applied in a complex environment and a digital elevation model is introduced to assist autonomous movement and positioning of the robot. From the perspective of the application effect, the mobile robot integrated with the digital elevation model can operate and locate in the complex environment without GPS. While confirming the integration of the digital elevation model, the effect of autonomous operation and location of the mobile robot in the complex environment is also clarified. The purpose of this study is to improve the motion control and autonomous positioning ability of mobile robots in complex environments and promote the development of mobile robots.
Using Functions in Your ARM Template

This chapter will focus on using logical operations and expressions in your Azure Resource Manager (ARM) template. We will go over the scope of the functions available and the most common functions utilized in ARM templates. This chapter will also cover how to create your own custom ARM template function.
The Basic Structure of a Python Program

In this chapter, you will learn the basic structure of a Python program by means of a practical example.
Simulation of Running Trajectory and Analysis of Actual Behavior during Luggage Transportation by Crawlers

Mobile robots have been applied to transporting cargos, and we are studying our crawler robots for that purpose. It is difficult to control traction of a crawler robot accurately because the amount of slips during a turn strongly depends on the running environment. Therefore, we have introduced the simulation taking into account road surfaces and cargo’s weight and compared the simulated results with the actual trajectories of a robot. The outcomes show that the simulated trajectories and the actual trajectories had similar tendency, but we found that the directions of casters on a cart effected the differences. We will improve the accuracy of the simulation by including this casters direction effect in the future.
Analisys of Training Degree of Driving Support System for Welfare Vehicle using NASA-TLX

Recently, the driving assistance system of the welfare vehicle has been proposed in which the virtual vehicle is projected on Head Mounted Display and controlled by a third person viewpoint so that the vehicles can be easily operated by the aged. By sharing the vertual space between the biginner and the instructor in the same way as in the the training at the phisical space, we believe that the biginner ’s operating skills can be improved in a short period of time if the instructor can provide guidance and effective training. In this study, we propose a novel training system for the driving support system by sharing the virtual space in which automatically displaies AR objects. The effectiveness of the proposed system is evaluated by quantifying the work load and evaluating it quantitatively using NASA-TLX.
An Integrated Reinforcement DQNN Algorithm to Detect Crime Anomaly Objects in Smart Cities

In olden days it is difficult to identify the unsusceptible forces happening in the society but with the advancement of smart devices, government has started constructing smart cities with the help of IoT devices, to capture the susceptible events happening in and around the surroundings to reduce the crime rate.But, unfortunately hackers or criminals are accessing these devices to protect themselves by remotely stopping these devices.So, the society need strong security environment, this can be achieved with the usage of reinforcement algorithms, which can detect the anomaly activities.The main reason for choosing the reinforcement algorithms is it efficiently handles a sequence of decisions based on the input captured from the videos.In the proposed system, the major objective is defined as minimum identification time from each frame by defining if then decision rules.It is a sort of autonomous system, where the system tries to learn from the penalties posed on it during the training phase.The proposed system has obtained an accuracy of 98.34% and the time to encrypt the attributes is also less.
Model Fitting and Optimization

In the previous chapter, we covered a large number of image processing operators that take as input one or more images and produce some filtered or transformed version of these images. In many situations, however, we are given incomplete data as input, such as depths at a sparse number of locations, or user scribbles suggesting how an image should be colorized or segmented (Fig. 4.1c–d).
TEST-INT: A Testing Platform for Deep Learning Models

Deep learning models indicate remarkable performance in a wide variety of tasks especially in computer vision. However, it is often that deep learning models developed only perform well on a specific and limited test data, and fail in real-world applications. In safety-critical applications, it is highly significant to minimize the possibility of any erroneous behavior of deep learning model. The TEST-INT system, which we have produced to solve this problem, is a testing platform that creates new test sets from existing test data with different image transformation methods and adversarial attacks, as well as measures test adequacy and performance of the model, and reports them to the user.
Preface

The COVID-19 pandemic has accelerated the process of digital transformation and added urgency for Governments to respond. A key challenge is how to govern and harness the surge in digital data for the global good. It has been estimated that global Internet traffic in 2022 will exceed all the Internet traffic up to 2016.
Genuine High-Dimensional Quantum Steering

We theoretically formalise and experimentally demonstrate a notion of genuine high- dimensional quantum nonlocal steering. We demonstrate steering with a record local dimension of 15 in a 31-dimensional space.
Face Data Discriminative Feature Extraction Based on Weighted Maximum Margin Criterion

The problem of ultra-high dimensionality small samples exists in the face data. In order to obtain discriminative features with higher generalization ability and improve the face recognition rate, a weighted maximum margin criterion (WMMC) method is presented for extracting discriminative features of face data. The method considers that the actual inter-class scatter is less than the inter-class scatter reflected by the inter-class scatter matrix calculated with limited training samples, and the actual intra-class scatter is more than the intra-class scatter reflected by the intra-class scatter matrix calculated with limited training samples, the WMMC function is obtained by recalculating the inter-class scatter matrix and intra-class scatter matrix. Experimental results using minimum distance (MD) and k-nearest neighbor (kNN) classifiers on ORL and Yale face datasets show that WMMC extracts discriminative features with higher generalization ability and significantly improves face recognition rate compared to maximum margin criterion (MMC).