Reviewerly/exHarmony huggingface dataset:
以马内利二校幼儿园在线汉语情况分析

AbstractDuring the Covid 19 Pandemic. The learning process cannot be carried out at school but online. Online learning refers to teaching and learning environment (virtual classroom). Immanuel II Christian Kindergarten using the Microsoft Teams application in the Online Learning Process. The method used by the author is the method of questionnaires and interviews. While the purpose of this research is to determine the condition and problems that often occur during online learning. Online learning very effective for now because children can still go to school even though online, Based on the questionnaire, the condition of learning Mandarin online reached 64.37%. then online learning also has frequent problems. What happens is that the network consumes a lot of quota or mobile data. By questionnaire problems that often occur reach 72.74%.Keywords: kindergarten, mandarin learning, online learning
Improving the Efficiency in Identification of Sentiments of COVID Patients over Online Social Networks using Novel Naive Bayes Algorithm Comparing Random Forest Algorithm

Aim:The main aim of this research work is to predict the efficiency to recognize emotions of covid patients over social media by comparing novel Naive Bayes algorithm and Random Forest algorithm.Materials and Methods: Naive Bayes algorithm with sample size = 10 and Random Forest algorithm with sample size = 10 were evaluated many times to predict the efficiency percentage with confidence interval of 95% and G-power (Value=0.8).Results and Discussions: Naive Bayes algorithm has proven better efficiency (54%) when compared to Random Forest efficiency (25%).The results achieved with significance value p=0.776 (p>0.05)shows that two groups are statistically insignificant.Conclusion: Naive Bayes algorithm performed significantly better than the Random Forest algorithm.
ІННОВАЦІЙНІ МЕТОДИ ФОРМУВАННЯ ТЕХНОЛОГІЧНО-КОРЕКЦІЙНОЇ КОМПЕТЕНТНОСТІ СТУДЕНТІВ (ФАКУЛЬТЕТІВ МИСТЕЦТВ) ПІД ЧАС ЗМІШАНОГО НАВЧАННЯ

The article considered the term "blended learning" on the basis of thorough research by domestic and foreign scientists. It was concluded that this concept means not only a combination of distance and face-to-face forms, but is a synthesis of positive elements of each form of higher education. For a better understanding of the expediency of combining elements, a table was presented that characterizes the strengths and weaknesses of distance and face-to-face learning. The task of blended learning is to help a student of higher education to acquire professional knowledge and skills. They are the main components that form the technological and correctional competence, which is an indicator of the student's professional growth. For a better understanding, a definition of the term "technological-corrective competence" was given, which gives an understanding of why this component is important in the educational process of an instrumentalist student. It is hypothesized that innovative methods are traditional teaching methods that have been transformed and updated in today's extremely complex conditions. Several main innovative methods, which are actively used by us in practice, have been identified. We divided the process of "blended learning" into several stages. Each stage has its own peculiarity, a system of classes, according to which we have selected a system of innovative methods. This article shows the strengths of "blended learning" in the field of music and offers several methods that we believe are important in the formation of TCC. This type of training includes other methods, so it should be taken into account that the constant development of technologies and other educational processes will constantly increase the number of tools for the best achievement of the set goal.
Business process and digital self-efficacy as a mediate role on customer relationship management and customer loyalty

The goal of this research was to analyze how customer relationship management, Business Process, and employee digital Self-efficacy affected customer loyalty (CL) in Jordan Telecommunication Company.The primary goal of this research is to develop a conceptual framework for analyzing the most important aspects that may affect the implementation of CRM in Jordan Telecommunication Company.Literature was culled from studies that examined the connection between customer loyalty and factors including customer relationship management, Business Process, and employee digital Self-efficacy.The suggested research model for further testing is illustrated at the conclusion of the study.
Working with JSON and Other Popular Formats

Data in Swift is much more than basic types, arrays, and dictionaries. Also, a mobile app is rarely isolated from the outer world. It makes API requests and processes responses; it exchanges data with cloud services and works with SDKs. Let’s see how to work with data exchange and safely convert numbers between different units.
THE LEVEL OF EFFECTIVENESS OF ONLINE LEARNING AT THE ELEMENTARY SCHOOL (SD) LEVEL

Online learning serves as a lesson between educators and students by using an internet network that can be accessed anytime and anywhere. Of course, the online method has a good level of effectiveness if it can be implemented optimally but also vice versa if there are still many obstacles in the implementation poses, it will also cause several problems whose consequences will have an impact or be felt by educators and students in the school. This time the author will conduct a study carried out at Sribasuki State Elementary School 1, Kalirejo District, Central Lampung Regency about the implementation of online learning at the school. The purpose of this study is to determine the level of effectiveness of online learning at the elementary school level. The method collected in data collection is a question and answer (interview) to the resource persons, namely several students, parents of students, and educators (teachers) directly or via WhatsApp. The results of the study showed various opinions from students, parents, and educators (teachers). From these various opinions, it can be concluded that the online method is very helpful in the learning process and it is considered that the method is quite appropriate to be chosen during the current Covid-19 Pandemic, but on the other hand, the level of effectiveness is still assessed below the learning carried out face-to-face. Therefore, some students, parents, and educators (teachers) really hope that the learning process can be carried out face-to-face as soon as possible.
Optimal Model of Cloud-Based Multi-Agent System for Trade-off Between Trustworthiness of Data and Cost of Data Usage

The cloud-based multi-agent system (MAS) results from the convergence of cloud computing and MAS, and the trustworthy data, the data that best matches the personalized demands of agents on trust attributes of data, is important for the cloud-based MAS. Data usage often comes with cost, and the better the trustworthiness of data (TOD), the higher the cost of data usage (CDU). Therefore, how to make the optimal trade-off for cloud-based MAS between TOD and CDU arises as an interesting issue. To address this issue, this paper proposes a mathematical constrained optimization model to help the agents to obtain the trustworthy data within the acceptable level of CDU. Experiments on a public dataset show its effectiveness.
Influence of eye movements on academic performance: A bibliometric and citation network analysis

Background: For many years it has been studied how eye movements influence reading and learning ability. The objective of this study is to determine the relationships between the different publications and authors. As well as to identify the different areas of research ocular movement.; Methods: Web of Science was the database for the search of publications for the period 1900 to May 2021, using the terms: “Eye movement" AND “Academic achiev*”. The analysis of the publication was performed using the CitNetExplorer, VOSviewer and CiteSpace software.; Results: 4391 publications and 11033 citation networks were found. The year with the most publications is 2018, a total of 318 publications and 10 citation networks. The most cited publication was "Saccade target selection and object recognition: evidence for a common attentional mechanism." published by Deubel et al. in 1999, with a citation index of 214. Using the Clustering function, nine groups were found that cover the main research areas in this field: neurological, age, perceptual attention, visual disturbances, sports, driving, sleep, vision therapy and academic performance.; Conclusion: Even being a multidisciplinary field of study, the topic with the most publications to date is the visual search procedure at the neurological level.
RIBAC: Towards Robust and Imperceptible Backdoor Attack against Compact DNN

Recently backdoor attack has become an emerging threat to the security of deep neural network (DNN) models. To date, most of the existing studies focus on backdoor attack against the uncompressed model; while the vulnerability of compressed DNNs, which are widely used in the practical applications, is little exploited yet. In this paper, we propose to study and develop Robust and Imperceptible Backdoor Attack against Compact DNN models (RIBAC). By performing systematic analysis and exploration on the important design knobs, we propose a framework that can learn the proper trigger patterns, model parameters and pruning masks in an efficient way. Thereby achieving high trigger stealthiness, high attack success rate and high model efficiency simultaneously. Extensive evaluations across different datasets, including the test against the state-of-the-art defense mechanisms, demonstrate the high robustness, stealthiness and model efficiency of RIBAC. Code is available at https://github.com/huyvnphan/ECCV2022-RIBAC.
A Learning Method for Feature Correspondence with Outliers

Feature correspondence is an important topic in many computer vision or robot vision tasks. Different from traditional optimization based matching method, in the last two years, researchers are finally able to solve the matching process in a learning manner. As a representative method, SuperGlue achieves superior performance in many real-world tasks, but it still has problems in dealing with outlier features. Targeting at the outlier problem, this paper improves SuperGlue by introducing a deep learning based feature correspondence method, which consists of the pruned attentional graph neural network and the improved matching layer for the outlier problem. Experiments on real world images validate the effectiveness of the proposed method.
Application of the K-Means Method in Determining the Clustering of the Economic Status of the Villagers of Gunung Megang

Gunung Megang Village is one of the villages located in Semidang Alas District, Seluma Regency. Every year the Village Head will record the population for data archiving and reporting, where the process has utilized a computerized system, namely by using office applications. However, the current population data collection only records the number of residents in Gunung Megang Village (data attached), so it cannot find out population information based on economic status. Economic status is the position of a person or family in society based on monthly income. However, the economic capacity of each community is different, some have a high economic status and some have a low one, this is seen in terms of income and expenditure. The application for determining the clustering of the economic status of the residents of Gunung Megang Village was made using the Visual Basic .Net programming language and SQL Server 2008 Database by applying one of the data mining methods used, K-Means. The grouping is based on data on the economic status of the residents of Gunung Megang Village (data attached) which is divided into 3 clusters, namely Cluster 1 (High), Cluster 2 (Medium) and Cluster 3 (Low). With this application, it is hoped that it can help the Gunung Megang Village Office in finding out information on the economic status of the population. Based on the tests that have been carried out, the functionality of the application for determining the clustering of the economic status of the residents of Gunung Megang Village is running as expected, and the application is able to provide information on the grouping of data on the economic status of the residents of Gunung Megang Village.
Applications of Sequential Learning for Medical Image Classification

Purpose: The aim of this work is to develop a neural network training framework for continual training of small amounts of medical imaging data and create heuristics to assess training in the absence of a hold-out validation or test set. Materials and Methods: We formulated a retrospective sequential learning approach that would train and consistently update a model on mini-batches of medical images over time. We address problems that impede sequential learning such as overfitting, catastrophic forgetting, and concept drift through PyTorch convolutional neural networks (CNN) and publicly available Medical MNIST and NIH Chest X-Ray imaging datasets. We begin by comparing two methods for a sequentially trained CNN with and without base pre-training. We then transition to two methods of unique training and validation data recruitment to estimate full information extraction without overfitting. Lastly, we consider an example of real-life data that shows how our approach would see mainstream research implementation. Results: For the first experiment, both approaches successfully reach a ~95% accuracy threshold, although the short pre-training step enables sequential accuracy to plateau in fewer steps. The second experiment comparing two methods showed better performance with the second method which crosses the ~90% accuracy threshold much sooner. The final experiment showed a slight advantage with a pre-training step that allows the CNN to cross ~60% threshold much sooner than without pre-training. Conclusion: We have displayed sequential learning as a serviceable multi-classification technique statistically comparable to traditional CNNs that can acquire data in small increments feasible for clinically realistic scenarios.
Inventory Calculation System by Predicting The Amount of Sales of The Eye Shop Using The Moving Average Method

For a company, inventory is an asset that is quite large in value. The existence of inventory in a company implies whether there is an inventory or not. Business is an activity in the field of trade with the intention of making a profit. There are various types of businesses that are around us. Inventory is one of the current assets that must be managed properly, especially for the type of business that has an inventory of merchandise. Inventories that are owned by this type of business will be able to be determined at the cost of the inventory and the value of the inventories will be presented on the balance sheet. In calculating the value of the company's inventory, the company can use three methods, namely the FIFO, LIFO and Average methods. The moving average method is used if the past data is data that does not have an element of trend or seasonal factors. Moving average forecasting is widely used to determine the trend of a time series. The main purpose of using moving averages is to eliminate or reduce randomness in the time series. So that it can provide information on incoming and outgoing goods based on transaction reports so that it can predict the number of sales in the next period. It is hoped that this application will always be up to date so that this application follows the development of sales information technology based on Android Flutter.
Efficient Data Access Control Scheme Using Splitting Technique In Clouds

Data access control is one of the main problem in data transferring over the network. Cloud storage is a model of data storage in which the digital data is stored in logical pools. These cloud storage providers are responsible for keeping the data available and accessible. There are various existing methods are used in cloud storage and they are providing security. Proxy encryption method, Cryptographic methods, third party auditor methods are the some of the existing methods. In these methods uploaded files are not stored in virtualized format. Hence the other users can also view the data. Some hackers may hack the data through back end. This may leak privacy and confidentiality of the files. In this project proposes Splitting Technique will split the uploaded files intosub parts and they are stored in the cloud. Proxy server will create a onetime virtual data storage. Cloud will send a copy of the original data to this virtual storage. One time only data viewer can view the data. Data viewer can not able to edit, update or delete the original data. So, the original data are safe. The files are in randomly occurring in the cloud storage, that arealso in encrypted format. Hence the data hackers cannot able to hack the files. The proposed system shows that it provides more confidentiality and privacy than the existing methods.
EDUCATIONAL TRADITIONS OF RESEARCH EDUCATION AND CREATION OF A LEARNING CENTER FOR JUNIOR SCHOOLCHILDREN IN THE SYSTEM OF THE JUNIOR ACADEMY OF SCIENCES OF UKRAINE

The article summarizes the historical development of the formation of the education system on a research basis, from antiquity to the present. The problem of search and introduction of innovative pedagogical technologies for the development of research activities of primary school students, the formation of a holistic picture of the world in the context of changes in the modern education system is outlined. The emphasis is placed on D. Dewey’s research learning technologies, the main provisions of which are considered fundamental for innovative research strategies such as learning strategy through research at the request of students, integrated learning and more. The experience of the Children’s Academy “Futurum” at the National Centre “Junior Academy of Sciences of Ukraine” is presented – an educational space for primary school students, which was created to promote scientific education, create conditions for creative creativity, the competence development through the research. One of the features of the educational process of the Children’s Academy “Futurum” is mentioned, namely: the synthesis and adaptation of international educational practices in research education. It is noted that an important component in the organization of such educational centres is the involvement in pedagogical practice with children of scientists, educators and researchers and their training in methods of working with students. Teaching methods are based on the integration of types of education, their principles, and methods. Multilevel integration promotes children’s development of critical, analytical, creative thinking. It is outlined that the research approach in teaching involves the organization of students’ activities related to the solution of the research problem, the formation of skills to creatively and independently master and synthesize different ways of working. The conclusions are formulated that for the introduction of scientific education in work with children of the primary school age it is necessary: the comprehensive study of research models, considering the age psychological characteristics of the primary school students in teaching scientific knowledge and training teachers for this activity.
Case study of a Brothertown Indian Nation cultural heritage siteToward a framework for acoustics heritage research in simulation, analysis, and auralization

The Brothertown Indian Nation and their ancestors have a centuries old heritage of group singing beginning along the Northeast Atlantic coast of what is now the United States and following them along their migration to the Midwest. The 18th century Curricomp cabin still stands in Connecticut and was an important location in the singing history and political movement that built Brothertown (Eeyamquittoowauconnuck). In this paper, a collaboration with Brothertown Indian Nation and an ongoing public humanities project regarding the Tribe’s aural traditions, a case study will be presented that investigates (1) the results of acoustic modeling and simulation of the Curricomp cabin and (2) auralizations for both binaural listening and a spatial audio installation using those models. Significantly, this paper employs a novel theoretical framework for acoustic heritage research that allows for (3) an analysis of how the scientific process and technological practices mediate intangible heritage. The acoustic models and auralization techniques created in this case study provide acoustic access to a heritage location that would otherwise be inaccessible to the Brothertown Community. The auralizations used in the spatial audio installation serve as a public humanities tool to amplify the contemporary voice of the Brothertown Indian Nation.
Dynamic Authentication Mechanism Research and Security Protocol Design of HIOT

The Healthcare Internet of Things (HIoT) is be-coming more widely used in recent years. While providing convenience for users, there are also many security problems, and it is urgent to improve the security of the authentication process. Various authentication protocols have been proposed to solve these problems, but there are still challenges in providing security. To solve this problem, we propose a dynamic security mechanism of the authentication protocol, define and analyze a series of determinants that may affect security, and put forward the dynamic requirements of related factors. Then, we design a dynamic authentication protocol for HIoT scenarios based on the proposed dynamic mechanism. The protocol combines biometric identification, cryptography, and Physically Unclonable Function (PUF) capabilities to provide users with lightweight anonymous authentication using dynamic security mechanisms while resisting known attacks. Finally, the security and performance of the protocol are analyzed in detail and compared with representative protocols, which proves the security and high efficiency of the protocol.
Committees: International Conference on Education Science and Engineering (ICoESE) 2021

First Page
SISTEM INFORMASI PEMESANAN PRODUK FORNITURE BERBASIS WEB

In the modern era, the development of computers and technology makes everything have to be fast, as well as communication techniques, grow very rapidly. Communication can be defined as the process of displaying, changing, interpreting, or processing information between humans or machines. Data communication has become a basic requirement in the business world where they provide information to each other via the computer where they are located.&#x0D; The Internet is a network solution that can connect several local networks in an area, city or even a country. With the internet we can connect several local networks in every place. Not only that, with internet facilities, everyone can carry out any activity such as sending Emails, searching for data, playing games, accessing banks, or even shopping at on-line shops between countries. The Word Wide Web (www) is a part of the internet that is very well known in the internet world, with the www a user can display a virtual page called a Web site.&#x0D; &#x0D; CAHAYA SAKTI MULTI INTRACO Semarang is a distributor company engaged in the Olympic brand furniture business. In its development, the company still needs an information technology, especially in presenting information on ordering furniture products.&#x0D;