Reviewerly/exHarmony huggingface dataset:
A Brief Analysis on the Development Direction of Dancing Teaching Gamification in Preschool Education

Children's dance education has gradually become popular, but the existing teaching and training system is not suitable for children's physical and psychological development.Therefore, in this research, the author proposes to reform the existing children's dance teaching by gamification, explore in depth what kind of dance education is suitable for children's development, and analyze in detail the direction of activities suitable for children of each age group.The researcher chose the literature review method, analyzed the educational guidelines issued by the state, and did many kinds of research on the mind or body of young children.It specifically answered the reasons for the gamification of dance education and the training direction teachers should pay attention to in each age group.According to the results of the researcher's analysis of the literature, the gamification of dance is more in line with the development direction of China's early childhood education, and it is also more conducive to children's interest in dance and happily learning dance.Teachers should not have strict requirements for children aged 3-4.Knowing the Rhythm of music and cultivating an interest in dance is the focus of this stage.Children aged 4-5 have improved coordination and cognition, which can gradually cultivate their control of hands and feet and music perception.The 5-6 years old children are approaching maturity physically and mentally, and they can adequately join in flexibility exercises and pay attention to cultivating rule awareness.For children in the preschool education period, dance education should focus on cultivating interest and perception.The teacher needs to let the children like dancing instead of blindly emphasizing the standardization of movements and the improvement of skills.
Effective Design and Implementation of Task-Driven Learning in High School Physics: Citing the Lesson on Composition and Resolution of Forces as a Case Study

One of the primary characteristics of the holistic module learning model is task-driven learning. In this learning model, a task is a distinct activity or collection of distinct activities designed to assist students in achieving learning objectives. The purpose of this paper is to examine the effective design and implementation of task-driven learning using the composition and resolution of forces lesson as a case study. On the basis of the lesson study, the principles of task-driven learning design are summarized and some recommendations for task-driven learning implementation are made.
Impementasi Metode Naive Bayes Untuk Prediksi Harga Emas

Gold is a profitable asset to invest in. With a risk that is not too big. However, many factors influence the price, one of which is the fluctuation of the exchange rate (IDR) rupiah against the USD currency (US Dollar). Data Mining is used to predict the price of gold, with the process of extracting past data, the data used is from the www.bps.go.id data to add added value in the form of information that has not been known manually from a database in order to see patterns and can predict the price of gold. One of the data mining methods used is Naïve Bayes and uses Rapid Miner software as a process to assist calculations with the data set used for 3 years, namely from January 2016 - December 2019 and prediction of data training for the next 1 year assuming stable prices, with testers as much as 5 times 52 data, where in the application of opportunities based on the history of events that occurred so that the accuracy is good at 95.92% to apply and see profit opportunities whether or not the gold price
Research on the Cognitive Degree of Pre-service High School Mathematics Teachers on the Implementation for Data Analysis Literacy

Currently, data analysis literacy has attracted more and more attention from all walks of life. Many relevant problems about it have been studied except the cognitive degree of pre-service high school mathematics teachers on the implementation for data analysis literacy. In order to better implement the data analysis literacy in the process of middle school education, this study investigates the understanding of pre-service high school mathematics teachers on the implementation of data analysis literacy. This research design adopts the combination of quantitative and qualitative methods. 51 pre-service high school mathematics teachers from a university are selected through cluster sampling. Their cognition of implementing data analysis literacy is investigated through interview, and then the data are classified and coded by list method. It is found that: 1. The scope of cognition of the current pre-service high school mathematics teachers on the implementing for data analysis literacy is not wide, and more than half of the content on the implementing for data analysis literacy previously proposed has not been realized by many pre-service teachers yet; 2. The understanding focuses on that students should experience the whole process of data analysis; 3. The cognition of many pre-service teachers is not reasonable and lacks feasibility or effectiveness, which needs to be further explored and thought. Therefore, it is suggested that: 1. Experts and teachers responsible for training work should provide more teaching practice opportunities for pre-service teachers; 2. Pre-service teachers should pay attention to observing students' learning status in the process of practice, reflect on whether their cultivation strategies are reasonable, and then make further adjustments according to the actual situation of the school and classroom.
Image Captioning with Face Recognition using Transformers

Abstract: The process of generating text from images is called Image Captioning. It not only requires the recognition of the object and the scene but the ability to analyze the state and identify the relationship among these objects. Therefore image captioning integrates the field of computer vision and natural language processing. Thus we introduces a novel image captioning model which is capable of recognizing human faces in an given image using transformer model. The proposed Faster R-CNN-Transformer model architecture comprises of feature extraction from images, extraction of semantic keywords from captions, and encoder-decoder transformers. Faster-RCNN is implemented for face recognition and features are extracted from images using InceptionV3 . The model aims to identify and recognizes the known faces in the images. The Faster R-CNN module creates the bounding box across the face which helps in better interpretation of an image and caption. The dataset used in this model has images with celebrity faces and caption with celebrity names included within itself, respectively has in total 232 celebrities. Due to small size of dataset, we have augmented images and added 100 images with their corresponding captions to increase the size of vocabulary for our model. The BLEU and METEOR scores were generated to evaluate the accuracy/quality of generated captions. Keywords: Image Captioning, Faster R-CNN , Transformers, Bleu score, Meteor score.
A Durational Performance Using Visualized, Sonified, and Other Data Translation from Portable EEG Technologies in Mental and Physical Training

In the moment of complete engagement in any activity, we function without conscious thought—referred to as ‘the zone.’ Digital technologies, from mobile devices to the Internet, can be a constant source of diversion; however, can digital tools help us get into the zone more quickly rather than simply distract us? Using open-source software and hardware, I have developed a real-time data visualization and sonification that have been recorded as performances on the website Mind &amp; Matter, the project accompanying this paper. The performances are filmed in different locations and the visualization geolocates these locations, comparing them to the cell towers within the area. The project seeks to show waves within and around our body that are normally invisible. Each performance seeks to train both my brain and body to find stillness within. The paper is informed by the communications theorists and artists studied throughout the Communications and Culture program. I seek to answer Catherine Malabou’s question of “What We Should Do with Our Brains,” and how we might find agency in our brain plasticity though technological extension.
Institutional repository statistics: reliable, consistent approaches for Canada

Introduction: “Usage metrics are an effective way for libraries to demonstrate the value of their institutional repositories, however, existing tools are not always reliable and can either undercount or overcount file downloads. As well, although statistics can sometimes be accessed through the various repository interfaces, without an agreed standard it is impossible to reliably assess and compare usage data across different IRs in any meaningful way.”[1] The Task Group for Standards for IR Usage Data has undertaken an information-gathering exercise to better understand both the existing practices of Canadian repositories, as well as the emerging tools and processes available for repositories to track and monitor usage more effectively. This exercise directly links to the broader goals of the Open Repositories Working Group, which are to “strengthen and add value to the network of Canadian open access repositories by collaborating more closely and adopting a broader range of services.”[2] Our recommended course of action is for all Canadian IRs to collectively adopt OpenAIREStatistics. This path aligns with the following recommendations which our group also advances: Recommendations: We suggest the following Mandatory (M) and Optional (O) recommendations: R1(M):All Canadian IRs should adopt the COUNTER Code of Practice. R2(M): All Canadian IRs should select a service that allows for interoperability with other web services via a fully open, or accessible, permissions-based API. R3(M): All Canadian IRs should usea statistics service that practices transparent communication and maintains a governance strategy. In addition, we strongly urge for the future that Canadian IRs consider the following advice. R4(O): Make further investments into understanding and utilizing the common log format (CLF). R5(O): Conduct research into the privacy implications of collecting use statistics via third party services with commercial interests and consider available alternatives. R6(O): Practice a healthy skepticism towards tools and solutions that promise “increased” usage statistics, and instead advocate for responsible collection assessment based on multiple aspects of use.
SELECTION OF CLASSIFIER MODELS FOR INTRUSION DETECTION SYSTEM(IDS)

Any unusual move can be considered a break in quirks. Some procedures and calculations were mentioned in the drafting to identify irregularities. In most cases, true positive and false positive limits were used to observe their display. However, depending on the application, an off-base false positive or false positive can have serious adverse repercussions. This requires the incorporation of cost-sensitive limits on display. Furthermore, the more popular KDD-CUP-99 test data set has a huge information size that requires some pre-management measure. Our work in this article begins by listing the need for a delicate cost examination with some original models. After talking about the KDDCUP-99, a methodology for the end of the reflections is proposed and later the possibility of reducing the amount of the most significant reflections in a simple way and the size of the KDD-CUP-99 in a indirect way. From the revealed writing, the general techniques are chosen to detect the irregularities that best behave for the various types of aggressions. These various filing cabinets are stacked to frame a team. An expensive method is proposed to dispense the relative loads to the classifiers equipped for the realization of the finished product. The profitability of the false and genuine positive results is performed and a technique is proposed to choose the components of the profitability measures to further improve the results and achieve the best overall exposure. There is talk of the effect on the exchange of execution due to the merger of the viability of the expense.
Employee Acceptance Decision Support System Using The Smart Method (Case Study on Association of The Indonesian Electrical and Mechanical Contractors Samarinda City)

Decision Support System (DSS) is a system that can assist someone in making accurate and targeted decisions. Many problems can be aasolved by using SPK, one of which is the acceptance of employees at the Gaklimdo Samarinda Association using the SMART (Simple Multi Attribute Rating Technique) method. The purpose of this research is to produce a Decision Support System for Employee Admission Using the SMART Method (Case Study of the Gaklimdo Association of Samarinda City) with the hope that the selection of employees will be carried out objectively. By using the PHP programming language and the database used is MySql. In this study, the data collection techniques used were literature study, observation and interviews. The result of this research is the creation of a decision support system to make employee decisions that are accepted, and not accepted as employees. Users can input prospective employee data, criteria data and sub-criteria data. Then the system will look for a solution using the SMART (Simple Multi Attribute Rating Technique) method. After the decision is obtained, the system will display the decision.
IMPLEMENTASI ALGORITHM CNN DAN SLTM UNTUK TRANSLATOR THINGS

Translator Things is a technology that allows users to find out the names of objects in a variety of foreign languages, by using a cellphone / laptop camera, Translator Things is very useful if we are abroad and we can find out the name of the object that our country is visiting. For the System we use CNN and LSTM as CNN's algorithm to identify objects on the camera, and LSTM to translate text on the identification of these objects The results of this discussion will identify objects that will be identified through text.
Student Engagement on the Implementation of Online English Learning

The English teacher does not involve a net meeting during online English learning. The net meeting is vital because it becomes a space for students to communicate and interact with their friends and teachers. It can trigger feelings, and they do not want to be actively involved in learning English online because they cannot experience the actual teaching experience and interact with their peers and teachers directly. This study aims to analyze student interactions and the difficulties involved in online English learning. This research uses mixed research methods by following a sequential explanatory research design. The sample in this study consisted of 140 students and was selected using the cluster random sampling technique. The process of collecting data in this study was carried out by distributing questionnaires and conducting interviews. The results of this study indicate that the involvement of students during online English learning is included in the high level seen from every aspect. However, there are some difficulties involved in learning English online, including internet connection problems, boredom, and loss of concentration, which psychologically affect motivation. Then, the slow response makes it difficult for students to contract online. In addition, the limited knowledge of English and the lack of direct interaction with the teacher, which makes students understand English subject matter independently, and the lack of direct interaction with fellow students also establish friendships with other students.
The Meaning of <i>Wagashi</i> as a Reflection of Japanese Cultural Values in the Drama Entitled <i>Watashitachiwa Douka Shiteiru</i>

The culture of eating (shoku bunka) in Japan has become known to the world community today.These include sweet cakes known in Japanese as wagashi, which are usually served at the same time as the tea ceremony (chanoyu).Wagashi has various types, and is made based on the conditions and philosophy contained in the maker itself.In the drama watashitachiwa douka shiteiru the characters who make wagashi convey the meaning and background of making the wagashi.From the meaning and background of making this wagashi there are Japanese cultural values contained in it.As a result, 18 wagashi data have their respective values.The most aesthetic values found are 10 data, social values are 6 data, loyalty values are 5 data, responsibility values are 3 data, loyalty/ trust value and creativity value are 2 data.From the discussion, it can be concluded that from the whole wagashi made almost all refer to the beauty of the manufacture.In addition, the philosophical strength of the reason and purpose of making is also very pronounced in its manufacture.
An Expert System Technique for Sentiment Analysis of Opinions

To help the users and the product owners it is quite necessary to extract aspects from the online reviews, their sentiment polarities, and associations between them. There is a great deal of work done in the field of sentiment analysis. Lexical and learning-based systems can be combined to separate the assessments from online opinions and reviews. In learning-based techniques, the Gaussian mixture model can be used for getting probabilistic results for polarities against aspects and naïve baize classifiers for the problem of spam comments which produced better and competitive results against previous techniques.
Detection and Classification of Vehicles on the Bekasi Toll Road Using the Gaussian Mixture Models Method and Morphological Operations

Traffic surveillance was initially carried out directly using CCTV, but this kind of surveillance was not possible for a full day by the security forces. In addition, with the increasing growth of vehicles in Indonesia, a method is needed that can be used to assist security forces in monitoring traffic such as detecting and automatically counting the number of vehicles. Therefore, in our research, we propose a method that can detect vehicles, and count the number of vehicles from video recordings on the Bintara Bekasi toll road using background substraction methods such as gaussian mixture models and morphological operations. The results showed that the vehicle detection accuracy rate was 86.3636%, the precision was 89.0625%, and the recall was 96.6101%. In this study, vehicle classification was also carried out based on the detection results into two types of vehicles, namely cars and trucks. From the results of the research, the classification accuracy rate was obtained at 85.9649%.
The Effect of Training on Improving the Knowledge of Cadres in Using E-Posyandu

East Java is one of the provinces in Indonesia that reached the Maternal Mortality Rate (MMR) of 89.81/100,000 live births in 2019.This number is still above the SDG's target of 70/100,000 KH.Jember Regency is included in the top 5 regions with the highest MMR (133.4/100,000live births).The Infant Mortality Rate (IMR) in East Java also tended t o stagnate in 2018 and 2019 (23/1,000 KH) and was above the SDG's target (12/1,000 KH).The maternal and infant h ealth data at Electronic Posyandu (E-Posyandu) can be used as information for early detection of risk factors for mater nal and infant mortality.This research aimed to analyze the effect of training on improving the competence of cadres i n the use of E-Posyandu.There were 10 cadres in Posyandu Manggis 15, 15A, and 18, Kemuning Lor Village, Jember Regency as respondents.The research was conducted in August 2021 and the sample was set at 10 cadres.The results showed that the average score of the posttest reached > 60 points.It showed that most cadres had good knowledge and competence in using E-posyandu.The training could improve the participants' knowledge and attitudes.This means th at they could receive the message that the resource person wanted to convey.
An Intelligent and Secure Communication of AIoT enabled Devices empowered with IPK Algorithm

Artificial intelligence Internet of Things (AIoT) will be a necessary part of our lives in the near future. It will be found as quick cooperation in our surroundings through the related sensor-based system. To be sure, even in an indirect method, it will serve us in a couple of structures as esteem included organizations over the cell stages. With the AIoT structures that make usage of data, actually, the data collection from contraptions can in like manner be a goal of cyberattacks. Device to Device (D-2-D) interchanges in AIoT was planned alongside various shows, for instance, Constrained Access Protocol (CoAP). Its huge stresses in the course of action of AIoT are to ensure the security of mechanisms and D-2-D one place to another. Furthermore, present correspondence shows for AIoT arewithout reliability features. It is a result of this that countermeasures in perspective on encryption are starting at now getting importance. There is a requirement for a solid cryptosystem for D-2-D in AIoT. In this investigation paper, we present an encryption technique which is indicated as EPEB as a security answer for AIoT. The proposed methodology works with the message which shows special characters, numbers, and bits for data encryption and decryption. In authority, the end key isn't known so we would encryption to able have the option to gadgets data using particular keys and scramble packet per specialkey.
Integration of the Internet of Things in Service Management: Designing a Monitoring Device for the Elderly

Controlling and monitoring the elderly is an arduous and imperative task about their physical safety. To assist in this control above, the main objective of this project is to present a real prototype for monitoring the elderly. Therefore, this prototype can become a support tool for managers of nursing homes, hospitals, etc., as it enables more precise control of these older adults. The case study method was applied in this research through a qualitative exploratory approach. It was concluded that the prototype presented has great potential to assist the administration of care services for the elderly, whose importance is even greater in the current context of a growing number of older adults in the Brazilian population. Finally, it is expected that the real prototype, when in the future it is transformed into a technological product on the market, will be a plausible way to carry out the control of the elderly in an agile way. An increase in the physical safety of the elderly is also expected, as this device can reduce incidents of falls.