Reviewerly/exHarmony huggingface dataset:
UTILIZING ALPHABETICAL CARDS IN IMPROVING EFL STUDENTS’ VOCABULARY

The research aims at improving EFL students’ vocabulary through Alphabetical Cards. The subject of this classroom action research was 40 students. The research was a classroom action research which was conducted in two cycles where each cycle consisted of planning, implementation, observation and reflection. The data of this research were obtained from the results of the test and observation sheet, questionnaire, field notes, during the implementation of the action. The findings of the research showed that Alphabetical Cards was effective in improving EFL students’ vocabulary. The effectiveness of Alphabetical Cards was shown by the improvement of students’ score. The findings revealed that in cycle 1 there were 18 students who achieved minimum criteria of achievement. It means that the classical achievement was 45%. In cycle 2, it showed that there were 36 of 40 students who achieved the minimum criteria of achievement. It means that the gain achievement was 90%. Gain achievement is based on the number of students who get the score at least the criteria of success (70). Both of the gained and individual achievements have met the criteria of success. It can be concluded that the alphabetical cards is very effective to improve the students’ vocabulary.
How does a book live after buying: the results of the survey

The results of the study about books' life after buying are described in the article. The main objective of the study is to reveal how readers use a book in consumer culture. We tried to answer such questions: if the novelty is important for our attitude to the book; for which necessities people buy books; if the book is an item for one-time use or it is reusable in fact; how often people use the home or public libraries etc. 221 people completed this questionnaire (65,6% — women, 34,4% — men). Three-quarters of respondents are under the age of 35, 19% — readers aged 36 to 50 years old, 5,5% — over 51. One part of the questions deals with buying books, other ones — with using them. According to the survey, 43% of readers buy used books, a little over a quarter don't do it, other readers sometimes can buy second-hand books. Almost half of the readers do not pay attention to whether the book is a novelty of the publishing house; half of the respondents are ready to buy a book published a few years ago if the topic is of interest. The majority choose fictional books for personal or professional development. Almost half of the respondents buy books as a gift (more often for children than for adults). The questions about using books gave us the following results. Only about one-sixth of survey participants often borrow books from friends, while about 57% are willing to share their books with other people. More than half of respondents occasionally reread books stored at home, but 42% of people don't do this. Less than 15% of respondents are active users of public libraries. Most respondents prefer reading at home on the bed or the couch, almost 70% also like reading in transport. About half of the respondents make no mark in the books, the rest can emphasize, bookmark, perish corners, write comments, etc. The results of the research can be used to study the behavior of buyers by publishing houses or bookstores, to design the publication, in the study of consumer culture in general, etc.
A systematic Approach to Human Motion Recognition using Deep Learning

The application of Human Motion Analysis (HMA) under Computer Vision (CV) is an emerging field which entails various applications such as gait analysis, behavioural cloning and animation of motion, intent detection, etc. For such motion analysis various open source datasets have been created that help analyze motion behaviour. Motion Capture (mocap) files have been used extensively to store motion data and analyze them. Although the weightage of these applications can be huge in modern technology, not much work on human motion recognition has been done using mocap datasets. In this paper, we propose a systematic approach to human motion recognition using software engineering, data analysis and deep learning algorithms. A Deep Learning (DL) model using Gated Recurrent Network (GRU) for the classification of human motion. CMU mocap dataset is used for analyzing motion data and modelling the DL framework. The trained algorithm is tested using accuracy and Mean Absolute Error (MAE) and a user live feed as performance metrics. A 90.1% validation accuracy is obtained on final evaluation.
The Synthesis of Soil Resistivity and EMF of underground Cable combined with 3-D Electromagnetic Field Study in Analyzing the Grounding Touch

The earthing analysis is proposed in this paper. The effects of 3-D electromagnetic field and the influences of stray currentare considered in the text simultaneously. The activity in the high-voltage environment is risky of being injured by electricshock. The safety of personnel in and around electric power the installations has been a prime concern. Specially, the safety isgenerally in terms of the allowable touch and step voltages. These voltages are related to the earthing resistance of human foot.I ofn order to increase the safety of personnel, a high resistivity surface layer of gravel is normally existed in the substationswitchyards or other high voltage areas. The thickness of this layer will affect the calculation of the earthing resistance ofhuman foot. Thus, the effect of soil resistivity will be considered in this paper. Among them, the electromagnetic field andhumidity factors are also considered in this paper. As a result, the surface layer of gravel can be used to reduce the earthingresistance of human foot. The equivalent model of human foot was modeled by the circular plate conductor in the past. Whichconsider the beauty of the environment, most of the transmission lines are in the surface, so the transmission line generated bythe discrete current will affect the earthing resistance estimation, thus the proposed paper will consider the composition of thespecial function which is the mathematical calculus popularized by the basic theorem of calculus. On the other hand, the dampingredients, temperatures, and soil resistivity on the surface will also be considered in this paper. This paper research into theproposed method for estimating the earthing resistance of human foot and proposes an equivalent model for calculating thegrounding resistance of human foot. The comparisons of the method are also shown in this paper.
An Analysis of Deixis on Comment Speech By Indonesian Diplomat in United Nation (PBB) 75th General Assembly Meeting 2020

Deixis is a human language phenomenon in which particular expression referential depends on context use (Williams, 2019). By knowing deixis, a speaker knows alternate reference words depending on the interlocutor, places and time conversation takes place. The study investigates deixis and its context used by diplomats and representatives from Indonesia, Silvany Pasaribu of human rights cases of Vanuatu and Papua. This study's data source was the comment speech of an Indonesian diplomat, consisting of three types of deixis based on Levinson's theory. The video was collected from YouTube. Further, to analyse the data through several processes, the researchers firstly collected all deictic expressions found in transcription, classified the deictic word into each category of deixis. The result of this study shows thirty five deixis from comment speech of Indonesian diplomat. There were twenty three personal deixis consisting of a first, second, and third person, seven spatial deixis, and five temporal deixis. Person deixis generally be delivered by person grammatical type, which replaces personal pronoun encode like community, appropriate names, and the individual pronoun compound. Spatial or place deixis based on result which expresses by the speaker on their speech were location. Temporal deixis is used to the pointing of time context speech. Further research is suggested to analyze all kinds of deixis, such as social deixis and its context.
ICA Model o f Densities f or Images ( ICA DGGDD

In data analysis we use ICA is a basic tool, the aim is that find out a co-ordinate system where are the components of the data are independent.Mostly ICA method such as fastICA and Jointapproximation and diogonalization of eigen matrix (JADE), uses kurtosis as a metric of non gaussianity. But the assumption of kurtosis (fourth order cumulant) may not always satisfies practically. So there are one possible solution is to use skewness (third order cumulant) instead of kurtosis. In this paper we are going to introduce ICA based method, that approach is good for heavy-tailed (fourth order kurtosis) as well as asymmetric data (third order skewness).
Administrasi sarana dan prasarana

Schools will be able to assist the learning process and educational infrastructure that supports the learning process. Management of facilities and infrastructure is very vital and very important facilities in supporting the smoothness or ease in the learning process, because with the management of facilities and infrastructure of educational institutions will be maintained and clearly useful. In managing the school, the school principal must be responsible for the facilities and infrastructure of the school principal who directly allows the facilities and infrastructure. And the school must also be able to consider and pay attention to the existing school facilities and infrastructure. So with the facilities and infrastructure in schools students can learn to the maximum and see the possible efficiency. So the management of facilities and infrastructure must be improved again in educational institutions such as in schools. And there must be someone who is responsible for managing the facilities and infrastructure. If all management steps have gone well as expected it will have a positive impact on students in the teaching and learning process and the achievement of effective and efficient educational goals.
ZACHMAN'S FRAMEWORK IN THE INVENTORY INFORMATION SYSTEM ARCHITECTURE BASED ON WEB SERVICE

Inventory is an activity that aims to manage the inventory of office or company assets owned. Inventory information systems have been widely used or developed in a place with a variety of technologies and systems. The problems that exist in YASTI (Tarbiyah Islamiyah Foundation) are the absence of a special, comprehensive and integrated Information System regarding the management of inventory data which often results in data redundancy (multiple data) between institutions and foundations. Also, requests for submission of goods that seem slow conveyed that can affect student service in providing facilities. According to the author, one of the best solutions to the above problems is the need for an inventory information system and in designing the system, an enterprise architecture inventory information system model is needed to minimize failure when implementing the system while running as needed. the modeling used UML diagrams, the analytical method in this study uses the Zachman framework which provides a foundation in helping provide the basic structure of the organization so that it can help design and develop an organization's information system. The design of the system generated in the Zachman framework will be a web-based inventory information system that can be used for information service issues.&#x0D; Keywords : Inventory, Zachman Framework, UML, Web
Low Cost FGC Electric Wheelchair

This paper represents the design of an Arduino based gesture controlled automated wheelchair.The design is developed with a gesture recognition system, which allows the physically disabled person to control the wheelchair by slight moment of finger who have issues in hand movement due to ageing or paralysis for joystick-controlled wheelchairs.The design also provides some additional features such as obstacle detection for the safe movement.To implement the design, Arduino Mega2560, ultra-sonic module, and motor controller circuits are used to drive the wheelchair.The designed wheelchair system does require a wearable sensor for obtaining the finger motion to control wheelchair movement (i.e.Accelerometer sensors).The proposed structure is relatively simple and cheaper that can benefit a huge population of ordinary people to have an automated wheelchair.
ANALISIS JENIS PENYAKIT PARU-PARU BERDASARKAN CHEST X-RAY MENGGUNAKAN METODE FUZZY C-MEANS

Lungs are vital organs that easily infected making them susceptible to diseases, such as atelectasis,effusion, pneumothorax and cancer. Diseases in the lungs can be detected using x-ray. Based onmedicaltheory, the results of the x-ray images of the lung diseases are difficult for ordinary people toread.. This research analyzes the x-ray image of the lungs to make easier the process of analysis. Theanalysis will be easy to carry out if the charaxteristic is known. In this case, fractal dimensions wereimplemented to clustering the typse if lung disesase based on chest x-ray. There are 100 x-ray image ofthe lungs that will be processed using segmentation. Result of segmentation is a region of the lungs.These regions are used in Canny edge detection to find out spots of lung disease. Then the dimensionvalue is calculated using box counting so that it can be clustered. The results of the experiment using thefuzzy c-means method with four clusters have an accuracy of 86%.&#x0D; Keywords : Chest X-ray, Box Counting, Fuzzy C-Means
Hubungan Manajemen Tindakan Kelas Terhadap Hasil Belajar Bahasa Indonesia

Improving the quality of education will be achieved if the teaching and learning process by the teacher held in the classroom is truly effective and useful for achieving the expected knowledge, attitudes, and skills. Because basically, the teaching and learning process is the core of the overall education process, while the teaching and learning process is carried out in many formal activities in the classroom where the teacher is one of the important factors in determining the success of the teaching and learning process in the classroom. Therefore teachers are required to be able to improve their roles and competencies, competent teachers will be more able to create an effective learning environment and will be more capable of Classroom Action Management so that student learning outcomes are at an optimal level. The purpose of this study was to determine the effect of classroom action management on Indonesian learning outcomes, the subject of story listening skills in SD Negeri 1 Kaobula. The method used in this research is quantitative descriptive which is used as a research design that clearly and clearly describes the research variables in the form of numbers and statistics. The population of this research is the fifth-grade students of SD Negeri 1 Kaobula which consists of 24 students. Based on the results of the study, it is concluded that the influence between the X variable (classroom action management) and the Y variable (Civics learning outcomes) has a strong influence between the two variables. If we look at the amount of oxy obtained, namely: 0, 620 it turns out to be between 0.40. 0.60. It can be stated that the correlation between variable X and variable Y is a relatively strong influence. Thus, the authors can simply give an interpretation of the oxy, namely that there is a significant positive effect between variable X and variable Y.
A Safe and Secure Access for Distributed Resources for Enterprise Cloud

Cloud computing is undergoing a perpetual advancement and new developments through distributed computing approaches and implementation of advanced virtualization technologies within the framework of recent powerful computing and web management systems. As Cloud computing evolves, the organizations can manage their data with small operational expenses. With the use of web services, cloud computing allows access to ubiquitous data storage and utilization of resources. On the other hand, the benefits of cloud computing come along with issues and challenges such as data security, reliability and availability of the resources in the cloud. In this paper, we present the design of a secure Resource Management System to monitor and control the geographically distributed resources in various segments under the enterprise scenario.
Factors Affecting Reading Comprehension among Malaysian ESL Elementary Learners

This study explored Level 2 primary school English as a Second Language (ESL) learners’ reading comprehension skill of a sub-urban school in Mukah, Sarawak. The objectives of this study were to identify the factors that contri- buted to learners’ comprehension skill, and to compare these factors in term of gender. The respondents comprised of 50 males and 50 females aged be- tween 10 to 12 years old from major ethnics in Mukah namely, Melanau, Iban, Malay and Chinese. A set of questionnaire that consisted of 16 questions were administered via Google Form. The findings suggested that motivation and interest, prior knowledge and vocabulary knowledge influenced learners’ reading comprehension skill. In addition, there was no significant relationship between genders and these factors. The findings from this research were important to determine reading strategies based on the factors listed to help the poor readers.
Identifying Challenging Spreadsheet Skills Using Reading and Homework Analytics from an Interactive Textbook

Spreadsheets provide a user-friendly environment to complete many calculations for engineering students as well as practicing engineers.Spreadsheet programs have been available for decades, including Microsoft Excel, Google Sheets, and many others; numerous formulas, functions, and other tasks are common across versions and platforms (e.g., Windows, Mac, iOS, Android).An interactive textbook from zyBooks titled Spreadsheets Essentials provides students opportunities to step through animations, complete question sets, and perform spreadsheet functions on autograded, randomized problems.Advanced topics include solver, error, statistics, interpolation, numerical integration, matrix operations, and more.The interactive format creates 'big data' on student behaviors, such as reading completion, auto-graded problem success, and auto-graded problem attempts.Providing nominal course credit led to very high reading rates in 2018.Specifically, at least 75% of students (n=98) completed 100% of the reading participation encompassing over 250 clicks across 12 sections.In addition, animation view rates quantified repetition with rates as high as 118%.Finally, success on over 100 auto-graded questions was higher for basic skills and formulas than more advanced topics, such as integration and interpolation.
Dawn Symbo

The design of the Dawn-Sympo involves the analysis of the internal and external environment. The main objective of this web application is to enable the students to take up the test through online and to obtain their results. The student can also refer for their webinar details through the web application
System of Combined Specialized Test Generators for the New Generation of VLIW DSP Processors with Elcore50 Architecture

In connection with the architectural complexity of modern multi-core structures, more than 60% of the design resources are spent on verification during the development of the processor.Automatic generation of tests is often used to increase test coverage and reduce overall test time.Therefore, the creation of verification test generators to verify the correct operation of microprocessors is becoming increasingly important.This paper describes the technique of development of the several tests generators used for microprocessor verification.The first one is designed for VLIW package generating.The second one is for the verification of the control flow.With the help of it sequences of assembler instructions are created to check the pipeline.Software and hardware cycles, subprogram calls, conditional and unconditional conversions are possible.The third generator is aimed at checking the cache memory of processor.It is based on the graph model of the memory subsystem built by its description.In the suggested approach, source code of the tests is constructed by using combinatorial techniques, that is all possible combinations of instructions, situations, and dependencies are sorted taking into account the constraints that direct the tests to check certain situations and also exclude the possibility of generating infinite cycles.The generated test sequences allow for various tests.To create more complex tests possible integration of generators into each other is considered, since the interaction of different devices of the processor generates a large number of critical situations.The proposed approach makes it possible to improve the efficiency of microprocessor testing.
Creative Education

The Primary School is the foundation of all education. The conception of the educational process has changed greatly through the years. The Primary School is the foundation of all education. The conception of the educational process has changed greatly through the years.
An Online Video Segmentation using Improved Particle Swarm Optimization Technique

Video segmentation is the original needed stage in the video method wherever the whole video is splits into volumetric sections, each segment consists of spatial substantive with temporal domain information. We proposed a video segmentation algorithm using Short Term Hierarchical Fast Watershed Algorithm (STHFWA )and Fractional Order Darwinian Particle Swarm Optimization(FODPSO) technique. In STHFWA ,the k-means clustering is used to find out the initial segments based on the color intensity present in the frames and Fast watershed algorithm is applied to construct the rigid lines based on the catchment basin coordinates to avoid over segmentation. Finally, FODPSO optimization is used to reduce the computational complexity. Also, the experimental results are analyzed on a VSB100 dataset, shows that the proposed algorithm outperforms modern online video segmentation techniques significantly.
Discrete Wavelet Transform with Adaptive Network-Based Fuzzy Inference System for Compression of Images

Image Encryption has a significant role to play in different fields like information security.Images are encryptedfor various purposes. Compression refers to the process that is carried out once the encryption is completed. In this review work, a hybrid technique has been followed for image encryption and decryption. First, input images are sent for preprocessing employing the median filter with the aim of removing the noise that is regarded to be unnecessary. This elimination process aids in improving the quality of the particular image. So the denoised image can be divided into different segments with the goal of encrypting the various blocks of images. This way, the required and unwanted blocks can be found during this above mentioned process. Encryption technique would follow Hybrid Chaos along with Discrete Cosine Transform shortly known as DCT. The encrypted image is then compressed with the help of Discrete Wavelet Transform (DWT) With Adaptive Network-Based Fuzzy Inference System (ANFIS). The experimental results indicate that the newly introduced DWT-ANFIS based compression attains a better performance in comparison with the availablecompression approaches in terms of Compression Ratio (CR) and Peak-Signal-Noise-Ratio (PSNR).