Reviewerly/exHarmony huggingface dataset:
Expert Systems Generating Machine for Image Processing Applications

We introduce in this paper what can be considered a new trend in expert systems field. It is generating different expert systems using the same software platform developed for this purpose, and called “Expert Systems Generating Machine for Image Processing Applications ESGMIPA”. The machine is used to generate different expert systems in completely different application fields which indicates the feasibility of the proposal. Using what we called Domain Expert Guided Heuristic Search (DEGHS) and the machine, we generated an expert system that succeeded in cases where no algorithmic approach can be applied. Generating different expert systems using the same machine depends on the well-known fact that the function of an expert system is determined mainly by its knowledge base. The machine developed expedite very much the development of the expert system to reach best performance. The role of domain expert and the positive effect of the interaction between different domain experts in different fields is highlighted.
A Comparison between Vgg16 and Xception Models used as Encoders for Image Captioning

Image captioning is an intriguing topic in Natural Language Processing (NLP) and Computer Vision (CV). The present state of image captioning models allows it to be utilized for valuable tasks, but it demands a lot of computational power and storage memory space. Despite this problem's importance, only a few studies have looked into models’ comparison in order to prepare them for use on mobile devices. Furthermore, most of these studies focus on the decoder part in an encoder-decoder architecture, usually the encoder takes up the majority of the space. This study provides a brief overview of image captioning advancements over the last five years and illustrate the prevalent techniques in image captioning and summarize the results. This research study also discussed the commonly used models, the VGG16 and Xception, while using the Long short-term memory (LSTM) for the text generation. Further, the study was conducted on the Flickr8k dataset.
Integrating Ethical, Legal and Social Aspects into Common Procedure Models

Many different procedure models can be applied to the management of software development projects. Such models also consider the ascertainment and management of requirements – based on very different agile or classic approaches. The framework provided in particular by ethical aspects, legal constraints and social technology design issues (ELSA or ELSI) is not explicitly addressed in procedure models, which is why approaches such as the IEEE Standard Model Process for Addressing Ethical Concerns during System Design (IEEE7000-2021) have been developed. However, the lack of explicit integration of these issues into common process models such as SCRUM or V-ModellXT implies a lack of necessary space for reflection on ELSA within development projects. The article discusses this problem and highlights possible solutions for further discourse.
BANKING SECTOR AND ECONOMIC DEVELOPMENT

Purpose- The most important tool in economic development is investments. Funds are needed for investments. Funds are obtained through domestic savings or foreign sources. Resources are known to be limited. For this reason, strong financial systems are needed. The banking sector is an important element in the financial system. The banking sector provides the collection and use of savings. In other words, the banking sector is closely related to economic development. The aim of this study is to examine the relationship between economic development and the banking sector. Methodology- BRICS-T countries are discussed in the study. Panel data for the 2001-2019 period were used. Human Development Index and domestic credit to private sector by banks (% of GDP) were used as variables. First, cross-section dependence tests were performed. Then unit root tests were applied. Heterogeneity was determined by delta test. In the last stage, causality test was applied. Causality was examined by the panel causality test developed by Dumitrescu and Hurlin (2012). Findings- Cross-sectional dependence tests showed that there is crossal-section dependence in the variables and the model. The stationarity of the series was obtained by the CADF test, which is one of the second generation panel unit root tests that takes into account the cross-sectional dependence. Delta test results showed that the slope coefficients were heterogeneous. It has been determined that the cross-sectional dependence and slope coefficients of the model are heterogeneous. The results of the Dumitrescu-Hurlin panel causality test applied showed that there is causality between the banking sector and economic development. Conclusion- The results of the research show that the banking sector contributes to the development of individuals. The increase in human development shows that there are educated, healthy and high-income people in a country. If the banking sector affects human development, human development activities will increase. High-quality human development will increase the level of technological knowledge, productivity in production, and therefore economic growth. Keywords: Banking sector, causality, economic development, human development index, panel data analysis JEL Codes: B26, G20, G21
HUBUNGAN INTENSITAS KOMUNIKASI KELUARGA DENGAN PRESTASI BELAJAR SISWA KELAS TINGGI SDN 9 TA' KECAMATAN TANETE RIATTANG KABUPATEN BONE

This research is a type of correlational research that aims to determine whether there is a significant relationship between the intensity of family communication and the learning achievement of high-class students at SDN 9 TA' Tanete Riattang District, Bone Regency. The population in the study were high-class students at SDN 9 TA', Bone Regency, which amounted to 80 students. Then based on the results of inferential statistical analysis, the value = 5.2590 is greater (&gt;) the value = 1.66462 at the 5% significance level. Thus H0 is rejected H1 is accepted. Based on the research, it was concluded that there was a significant relationship between the intensity of family communication and the learning achievement of high-class students at SDN 9 TA', Tanete Riattang District, Bone Regency.
Analisis Pelaksanaan Gerakan Literasi dalam Meningkatkan Minat Baca Siswa Kelas Tinggi di Sekolah Dasar

This research is a type of descriptive qualitative research. The problem of this research is how to implement the school literacy movement, especially in increasing students' reading interest. This research is a type of descriptive qualitative research. The results showed that the implementation of the literacy movement was carried out through 3 stages, namely the habituation stage; conducting literacy mornings and structuring a literacy-rich environment. development stage; follow-up activities and library visits. learning stage; use strategies in reading activities. The obstacles faced are the lack of reading books, improving reading corners, and students who are not fluent in reading. Efforts are being made to coordinate with school principals to improve literacy facilities such as procuring books and revamping reading corners. The conclusion of this research is that the implementation of the literacy movement in increasing students' reading interest is carried out in three stages, namely the stages of habituation, development, and learning, but there are obstacles in terms of facilities. Efforts are being made to improve the facilities for supporting the school literacy movement
HUBUNGAN PEMBERIAN REWARD AND PUNISHMENT DENGAN MOTIVASI BELAJAR SISWA KELAS IV

Low student learning motivation requires teachers to find ways to increase student learning motivation in order to achieve educational goals. One way that can be used is by applying reward and punishment in the learning process. This research is a correlational quantitative research with ex-post facto method. This research was conducted at SDN 42 Waetuwo with a sample of all fourth grade students, totaling 33 students. The results showed that the provision of reward and punishment to fourth grade students at SDN 42 Waetuwo was included in the good category with a percentage of 78.31% while learning motivation was included in the very good category with a percentage of 83.72%. And based on the results of inferential statistical analysis, the degree of relationship between the two variables was 37.45%, and the value of tcount = 4.307 was greater than the value of ttable = 1.69552 at a significance level of 5%. Thus H0 is rejected and H1 is accepted. From the results of the study, it was concluded that there was a significant relationship between the provision of reward and punishment with the learning motivation of fourth grade students Bone Regency.
ANALISIS REGULASI DIRI DENGAN PRESTASI BELAJAR SISWA KELAS IV SEKOLAH DASAR

This type of research is a qualitative descriptive approach, which aims to determine self-regulation with the learning achievement of fourth grade students of UPTD SDN 236 Taletting. Data collection, observation and interviews. Data analysis techniques, data reduction, data presentation stage, drawing conclusions. The purpose of the research is to provide insight for further researchers, to become a teaching tool to know students' self-regulation. The results showed that students had good self-regulation. The conclusion of this study, self-regulation. indicators are independence, have self-confidence, behave in a disciplined manner, have a sense of responsibility, behave on their own initiative, control learning activities. Factors that affect learning achievement, physical health, motivation, school physical environment, class social environment. Student self-regulation is good because it meets indicators that affect regulation, while student achievement in grade IV UPTD SDN 236 Taletting is good because students have met the requirements (Minimum Graduation Criteria).
FunReading: A Game-based Reading Animation Generation Framework to Engage Kids Reading using AI and Computer Graphics Techniques (for Special Needs)

Children with ASD or ADHD are having a hard time learning and understanding, and there’s no perfect education system [1][2]. However, audios and animations can improve their reading effectiveness. This paper designs an application to have animated characters talking with audio based on the text using Optical Character Recognition, text to speech, and Natural Language Processing.
The model of securing IT competences

Knowledge is only the basis of the preferred core competencies of the individual and may not be sufficiently beneficial for individuals, even if they were associated with other components of competences. Acquiring key competencies is a life-long process. In order for these competencies to be developed qualitatively, we need to achieve a quality education system.&#x0D; In most countries of the world, the trend is to create expectations for the result of the schools’ work, we can say standards, which could be regularly controlled. From most of the products, it is required to answer to predetermined standards, and these standards or norms are strictly controlled. In schools, they do not do it. Nobody guaranteed, that the student of that school in which he learns the knowledge, skills, etc. The goal of this work is to demonstrate the importance of information and communication technologies in the educational process as one of the most important tools for enhancing the quality of education. Information and communication technologies play an important role in university studies. The aim of education will shift to improve the skill of learning, and critical thinking of the learner, improve the ability to communicate and use information and communication technologies as well as gather, analyse and use information effectively and efficiently.
Digital Literacy in Transversal Competences of Future Teachers

Digital literacy has been a much-discussed topic in the context of Czech education in recent years, both the concept of digital literacy itself and especially the way of its development in pre-primary, primary and secondary education. The paper presents and analyses the didactic aspects of the implementation of the European Framework of Digital Competences for Teachers in teacher education programmes. Particular attention is paid to transversal competences in the competence model of the teacher, optimized for achieving digital literacy, enabling the subsequent development of digital literacy in learning individuals. The definitions and conclusions are discussed in the context of foreign sources and the currently addressed concept in the Czech Republic.
Kepraktisan Pengembangan Modul Eletronik Persamaan Diferensial Berbasis Software Flipbook Maker HTML Pada Google Classrom DI FKIP UMMY Solok

The purpose of this research is to produce an electronic module of differential equations based on html flipbook maker software in a practical google classroom. This type of research is research and development, this development uses the ADDIE model (Analysis, Design, Development, Implementation, and Evaluation). The instrument used is a student response questionnaire. The result of the research shows that a practical differential equation module based on flipbook maker html software has been produced on Google Classroom at FKIP UMMY Solok.
Pengaruh Pembelajaran Daring Berbasis Whatsapp Dan Motivasi Terhadap Hasil Belajar Matematika Peserta Didik Kelas IX SMP Negeri 5 Kota Solok

The purpose of this study was to determine the effect of WhatsApp-based online learning and motivation on mathematics learning outcomes for Class IX students of SMP Negeri 5 Solok City. This type of research is a quantitative study with a population of students in class IX of SMP Negeri 5 Solok City which consists of 8 classes. The sampling technique is simple random sampling. The results of data analysis obtained the value of the correlation coefficient Rx1.x2.y = 0.89, meaning that WhatsApp-based online learning and learning motivation affect 79.21% of students' mathematics learning outcomes. After testing the hypothesis, the Fcount value is 127.64 simultaneously and the Ftable value is 3.13, it is known that the Fcount&gt; Ftable means that there is a significant effect between WhatsApp-based online learning and simultaneous learning motivation on students' mathematics learning outcomes. class IX SMP Negeri 5 Solok City. Partially test the hypothesis, it was found that 1) The influence of the X1 variable on Y obtained the value of tcount = 16.20 &gt; ttable = 1.995 meaning that there was a partially significant effect between WhatsApp-based learning on learning outcomes and 2) The influence of the X2 variable on Y was obtained the value of tcount = 15.04 &gt; ttable = 1.995, which means that there is a partially significant influence between learning motivation on mathematics learning outcomes for students of class IX SMP Negeri 5 Solok City.
Analisis Kesalahan dalam Menyelesaikan Soal Cerita berdasarkan Prosedur Newman

This study aims to determine (1) the type of error and (2) the factors causing the error. This research was conducted at SMP Negeri 2 Tarub in the 2020/2021 Academic Year. With qualitative descriptive research methods. Data were collected using tests and interviews. The resource persons for this research were class VIIA students, totaling 32 students. Interviews were taken using a purposive sample of 6 of 32 students in class VIIA. The data analysis used includes data reduction, data presentation, and verification. The data and information in this study are presented in the form of text that is presented descriptively. The results of the research as a whole, the percentage of errors experienced by students is a reading error of 16.66% error, 40% error in understanding the problem, 40% error in transformation error, 73.33% error in process skills, 80% error in writing the final answer. From the analysis of student errors, the causes of students' errors in solving story problems were obtained, because they did not master the material and were less thorough in working on the questions.
Sistem Rekomendasi Desain Website Berdasarkan Tingkat Kemiripan Menggunakan Euclidean Distance

The more internet users, the more interest in creating websites for certain purposes. To create a website that can attract visitors, a good website design is required. Website design is an important element in making a website, because the design of a website will create its own impression and image for website users. One of the technological developments is artificial intelligence, namely the Recommendation System which is a computer technology that is able to provide recommendations for the layman, in this study a website design recommendation system based on the Euclidean distance assessment resulted in a "good" SUS (System Usability Scale) grade C “good”.
Pedestrian Recognition System of Wild Scene Video Streaming Based on Convolutional Neural Network

Object detection aims at detecting the position of important objects and identifying them in still images or video frames. Pedestrians are the objects with most attention in images and videos. We study the detection and recognition technology for pedestrian objects of the wild scene video streams. Based on convolutional neural network, we design an online pedestrian recognition system. As non-rigid objects, people may exist in different poses in the image. Moreover, with the interference of complex background, lighting changes and occlusions, it will be very difficult to detect and recognize human objects. Following pedestrian detection in the images, we can conduct research on pedestrian tracking, pedestrian recognition and pedestrian behavior analysis. In addition, pedestrian detection technology also has great commercial value in video monitoring systems, intelligent traffic systems and other fields. In this paper, we propose a network model based on multiple loss functions, which combines the cross-entropy loss function with the improved monitoring signal center loss function to update the model parameters. Finally, the extracted features are more obvious, making the features of the same individual more compact. Compared to networks trained with only cross-entropy loss functions, our method significantly improves recognition accuracy and implements a pedestrian attribute recognition application based on Web technology. And compared with other similar applications, the recognition system we designed is cross-platform and lightweight. It mainly includes image acquisition, pedestrian attribute recognition and data storage modules, which is of great significance for the application of pedestrian recognition technology in the wild scenes.
Asteroid Mining Impact Prediction Model

According to the Outer Space Treaty of the United Nations, "Space exploration shall be the common domain of all mankind," and all mankind should share outer space resources. With the continuous advancement of science and technology, the gap in comprehensive strength between countries is increasing, and there is a gap in the acquisition of outer space resources between countries. In order to measure the fair distribution of this resource, we quantify the fairness and formulate relevant policies by collecting data to build a model.
The Compression Techniques Applied on Deep Learning Model

In recent years, the penetration rate of smartphones has gradually completed, artificial intelligence is the cutting-edge technology that can trigger disruptive changes. Deep learning neural networks are also starting to appear on mobile devices. In order to obtain better performance, more complex networks need to be designed, and the corresponding models, computation and storage space are increasing, however, the challenges of resource allocation and energy consumption still exist in mobile. The techniques for compressing deep learning models are quite important, and this paper studies a series of related literatures. This paper reviews deep learning-based deep neural network compression techniques and introduces the key operational points of knowledge extraction and network model on the learning performance of Resolution-Aware Knowledge Distillation. In this paper, a low-rank decomposition algorithm is evaluated based on sparse parameters and rank using the extended BIC for tuning parameter selection. This paper discusses the reduction of redundancy in the fully connected and constitutive layers of the training network model by pruning strategies.Moreover, this paper presents the quantization techniques and a neural network that quantifies weights and activations by applying differentiable nonlinear functions.
PORTRAYING STUDENTS’ SPEAKING FOREIGN LANGUAGE ANXIETY LEVEL DURING ONLINE AND OFFLINE LEARNING

The purpose of this present research was to find out the students’ speaking foreign language anxiety level during the online and offline learning. The participants involved in this research were 28 students of junior high school students in SMP Insan Mandiri Bandar Lampung. This research was in descriptive qualitative design. The data were collected by using speaking foreign language anxiety questionnaire adopted from Ozturk (2014). The questionnaire form was in 5-graded likert scale, the data were analyzed by classifying the results using the range levels guideline adopted from Ozturk (2014). The results from the questionnaire showed that: during the online learning, most of students were in the moderate level of speaking anxiety, and a few students categorized in the high level of speaking anxiety. Meanwhile, after the pandemic era where the students got the limited offline learning, it was found that the majority of students were still on the moderate level of speaking anxiety, but there was no student categorized in the high level of speaking anxiety.
Meningkatkan Kemampuan Kosakata Anak Usia 3-4 Tahun Menggunakan Media Cardbox

This research is motivated by a problem related to children with limited vocabulary skills, so it requires the use of media to improve children's vocabulary skills in speaking. This study aims to answer the problems (1) How can the results of the learning process using cardbox media improve the vocabulary skills of children aged 3-4 years ?. This article is discussed through Classroom Action Research (CAR) which is carried out through two cycles, with each stage consisting of planning, action, observation and reflection stages. This research data obtained through observation and documentation. The subjects of this study were PAUD children in Daudolu Village, East Nusa Tenggara, totaling 5 children. This research was conducted in January – April 2021. The results showed that cardbox media conducted in two cycles was proven to improve the vocabulary skills of children aged 3-4 years at PAUD Maranatha school. This can be seen from the improvement in every aspect of the research. In the first cycle, there was one meeting and the second cycle was carried out in one meeting. The result of children's vocabulary skills in the pre-cycle was 45%, increased in cycle 1 to 50% and increased in cycle 2 90%. From the results of the study, it can be concluded that the vocabulary skills of children aged 3-4 years from stage to stage can be increased using cardbox media.