Reviewerly/exHarmony huggingface dataset:
A New Model Evaluation Framework for Tamil Handwritten Character Recognition

The robustness of any pattern recognition model relies heavily on the availability of comprehensive samples. Until last year, the Tamil Handwritten Character Recognition (HWCR) works relied on the solitary HPL Tamil dataset [1]. Recently, a new benchmarking for Tamil HWCR was published [2] comprising 94000 samples in total. The efficiency of corroboration using multiple standardized databases is crucial in advancing any research area. Towards this aim, in this paper, we showed different ways of experimentation with these datasets. For this purpose, we utilized transfer learning, and a custom deep neural network, a recently published work for Tamil HWCR [3]. Different experimental setups were suggested that involved independent, cross-testing, and mixed modes of model building and evaluation using two standardized datasets. These setups form a rigorous testing framework for analyzing Tamil HWCR tasks. The work presented in this paper is the first to report the results of Tamil HWCR using two standardized datasets and sets a new model evaluation benchmark. For rapid reproducibility and dissemination, the code and materials used in this study are available at https://github.com/Kavitha-BR-VIT/Tamil-HWCR .
Dimensionality Reduction in Handwritten Digit Recognition

For visualization, the concept of dimension is normally enclosed to 2–3 degrees in individuals. A computing node can extend it significantly. However, any increase in the number of dimensions usually introduces an extra computational burden, and it becomes more challenging to extract the exact information. Therefore, dimensionality reduction methods are an increasingly important area of study to help identify methods to mitigate challenges associated with high-dimensional feature sets. Handwritten digit recognition is one of the most relevant fields of study due to the variety of issues faced such as the age of texts, the professional context and norms in which the text is written, and individual differences in writing styles. Research on handwritten digit recognition using various algorithms has been conducted in a variety of languages. In the Bangla character set, there are ten digits. Due to geometry, complicated forms, and similarities between the individual numerals, individual characters are difficult to identify. Also, there are limited open datasets available to researchers to conduct Bangla digit recognition upon. This work discusses dimensionality reduction techniques used in the Bangla Handwritten Digit dataset NumtaDB. Principal Component Analysis (PCA), Neighborhood Component Analysis (NCA), and Linear Discriminant Analysis (LDA) algorithms are examined as feature extraction techniques. CNN is a deep learning technique to classify the input automatically. Over the years, CNN has found a good grip over classifying images for computer visions and now it is being used in other domains too. The numeric digits are then classified using CNN utilizing the lower dimension vectors acquired. These models can recognize most of the digits successfully with a satisfactory level of performance for identifying different digits.
Agricultural policy learning system design based on Vue-SpringBoot

With the increasing importance of case study teaching, purely paper-based related materials become unsatisfied.In response to this demand, we conceive and design an online learning system for agricultural policy, which is based on B/S architecture and adopts the front-end and back-end separation technology.The front-end is developed using the mainstream framework Vue.JS, while the back-end is deployed using Springboot framework and MySQL and MyBatis.The Axios library is called for linkage between the front-end and back-end.This agricultural policy learning System provides research students with rich cases to comprehend and experience, and reduces the workload of teachers.According to the trial run of the system, this system satisfies the learning communication of students and the teaching supervision and management of teachers.
Study on University Students' Preference of Learning Management System Application Mode and Its Influencing Factors

The popularization of the application of learning management system is a typical manifestation of the evolution of teaching from multimedia assistance to digitalization and networking, and an important symbol of educational informatization.Based on the improved UTAUT model, this paper developed a research tool to explore the preference of LMS application mode and its influencing factors of college students, so as to understand the causes of weak points in mobile application of LMS.The results show that the vast majority of subjects prefer pure mobile or strong mobile and weak non-mobile applications, which indicates that mobile learning has a high popularity among college students.The five direct variables in the improved UTAUT model, namely, performance expectation, convenience, anxiety level, individual innovation and behavioral tendency, have an impact on the LMS application mode of college students.The "network time" of "experience", a moderating variable included in the UTAUT model, has an impact on the LMS application pattern of college students.
Brand Visual Design of New Energy Industry Based on Energy Big Data Analysis

Enterprise brand design is to make people remember enterprise products through a relatively easy-to-remember form, and the visual expression content related to enterprise brand belongs to enterprise brand design.Visual image design is an important component of enterprise brand construction and expansion, and brand is the sum of intangible assets and spirit of enterprises.The design of corporate visual identity plays an important role in the survival and development of enterprises and the construction and accumulation of corporate culture.Under the background of the continuous development of visual communication design, the brand design of enterprises also presents various forms, and the concept of consumers is different from before.Through the application of visual communication design, more business opportunities can be created, and enterprises can obtain corresponding benefits.Combined with energy big data, this paper analyzes the use of visual communication design in brand design of new energy enterprises and an updated application of their ideas with progress, so as to show the importance of visual communication design for enterprise development.
Logistic Regression Approach to a Joint Classification and Feature Selection in Lung Cancer Screening Using CPRD Data

Lung cancer is one of the most deadly cancers in the world. Its mortality rate is high when the cancer is diagnosed late. Therefore, early detection is a crucial factor for an increase in survival rate, and lung cancer screening is one of the most important intervention tools. However, the screening would be cost-effective only when we can accurately select a sub-population which is at the most risk of lung cancer. It is hypothesised that this selection task can be done cost-effectively when we use clinical data (e.g. demographic, lifestyle and comorbidity variables) rather than low-dose CT. This work used the clinical data extracted from Clinical Practice Research Datalink (CPRD). The goal is to test whether this approach can achieve comparable or even better selection performance when compared to an alternative approach using clinical data from lung cancer screening trials. The latter approach is adopted in [54]. In this paper, we further adapt the logistic regression model for a joint classification and feature selection analysis. The model is implemented in an ‘ensemble learning’ manner to deal with severe ‘class imbalance’ problems. It is observed that the sensitivity and specificity results are slightly better than those reported in [54]. Also, we identified a comorbidity factor COPD and a smoking-related factor smk-status as the two most discriminative features.
The Importance of Using Visual in Delivering Information

The difficulty of absorbing information without a visual form is a problem for some people regardless of age, but students experience this difficulty the most because of the daily learning process. The purpose of this study was to determine whether conveying information visually can support a person's learning process. The research method used is quantitative using questionnaires and literature studies from previous research as supporting data. The object of this research is male and female students, aged 17-24 years old. The results obtained are the use of visuals has a positive and significant effect on the delivery of information and can be a medium to support learning.
Augmented Reality for the Presentation of Cultural Heritage: On-Site Application and Evaluation of a Model

This paper comes out of a scientific study concerning development of an AR model for the presentation the archaeological site of Alexandria Troas for the visitor experience, and on-site application of this model, through a case, namely the Podium (or Forum) Temple, to investigate the nature of that experience provided by AR and its implications as well. The study is established upon the proposition that “AR is tailored to fit to provide a compatible, accessible, and sustainable presentation of historical built environments and archeological sites to public experience, while respecting much of the problem(atics) coming along with norms and privileges of historical heritage preservation and conservation.” Departing from this ultimate proposition, it sets out a framework of questions to address. This paper provides a summary of the whole research, followed by the detailed description of the methodology and process concerning the developed model’s on-site application, and a succinct presentation of its findings, finally, an account of the research as a means of testing the research questions. Findings confirm much of the assumptions deriving from the initial proposition and showed the great potential of AR towards this end as expected. A number of issues and problems were surfaced as well, some of which are oriented from the technologies concerning the AR itself, while others are related to the limitations of the proposed model and its on-site execution. Furthermore, the research indicated a number of matters to address and possible ways to expand such research. All in all, we argue that the research yielded a number of valuable results and insights in addressing the departing problem situation, while it also posed new questions and research paths to follow for new research.
Design and Implementation of Capital Management Information System for Central Financial Fund Project Based on MVC Pattern

With the increase in the number of projects and the use of the fund budget standard, the original way of geological exploration fund project fund management gradually fails to meet the needs of efficient project fund management and rapid analysis and query, and promotes the standardization of management by realizing the information of fund project fund management.The central geological exploration fund project capital management system has been designed and realized, based on the B/S framework of MVC pattern.The background development adopts the development way of ASP.NET MVC, and uses the Ninject framework to solve the coupling problem of the components in the program.The foreground development adopts jQuery framework, with excellent cross-browser compatibility.It has seven functional modules, covering four stages of the whole process of the project capital management of the geological exploration fund.It meets the needs of users such as the fund management center, the supervision department, project undertaking units and economic experts.This enables the fund management center to not only keep track of the execution of individual project funds, but also to monitor and manage the execution of project funds in different batches and years, effectively meeting the needs of the central geological exploration fund project fund management.
PENGARUH FAKTOR SOSIAL EKONOMI ORANGTUA DAN MUTU PENDIDIKAN DALAM MENINGKATKAN PRESTASI SISWA PADA SD ALWASHLIYAH 4/36 BELAWAN

The process of achieving student achievement at SD ALWASHLIYAH 4/36 Belawan is strongly influenced by the background and economic conditions of the family, school and community environment, physical condition and the level of student confidence. Teaching and learning facilities at SD AlWashliyah 4/36 Belawan are quite limited, so they have to be used alternately. This greatly affects the quality of school education, teachers, and the results of graduates. This study uses mixed data (quantitative and qualitative). The results of testing the hypothesis of parents' socio-economic factors (X1) obtained -1.026 &lt;1.677, then H0 is accepted and H1 is rejected. So that partially the socio-economic factor variables of parents have a significant negative effect on student achievement at SD ALWASHLIYAH 4/36 Belawan. Parents' socio-economic factors cannot be used as a measure of student achievement, the intelligence possessed by students depends on the diligence in learning and the efforts made by students. Testing the quality of education (X2) obtained 12.534 &gt; 1.677, then H0 is rejected and H1 is accepted. So that partially the variable quality of education has a significant positive effect on student achievement at SD ALWASHLIYAH 4/36 Belawan. The quality of education determines the quality of schools such as the principal, classrooms, the ability of teachers to implement quality education programs, comfort in schools, etc. The results of the F test show that the value of Fcount &gt; Ftable is 78.605 &gt; 3.20. So it was concluded that simultaneously parents' socio-economic factors and the quality of education had a significant effect on student achievement at SD ALWASHLIYAH 4/36 Belawan. Keywords : Parents' Socioeconomic Factors, Quality of Education, Student Achievement.
PENGARUH SISTEM INFORMASI AKUNTANSI PENGGAJIAN TERHADAP EFEKTIVITAS PENGENDALIAN INTERNAL GAJI KARYAWAN

This research was conducted to see the level of use of the payroll accounting information system that has been implemented by the Bureau of Logistics Bureau of the West Nusa Tenggara regional division regarding the system for recording and calculating payroll which is carried out using the Enterprise Resource Planning (ERP) system and the Payroll system component in the ERP system as a payment system. The researcher aims to determine the effect of the payroll accounting information system on the internal control of employee salary payments at the regional division of the Regional Bureau of Logistics Housing Bureau of West Nusa Tenggara. The sample in this study was 40 employees who were taken based on a purposive sampling technique or several criteria; 1) Located and placed in the NTB regional office, 2) Has duties or positions in the SPI, HR, and finance sections in the NTB regional office, and 3) Has worked for more than one year. Data analysis in this study used SPSS 26 to test the research instrument and used simple linear regression analysis. The results showed that the payroll accounting information system variable had a t count of 8.296 &gt; t table of 2.021 (sig. α/2=0.05/2=0.025 and df=40) with an unstandardized beta coefficient of 0.803 and a significance level of 0.0000 smaller than 0.05, then H1 is accepted. This means that the accounting information system has a significant positive effect on the effectiveness of internal control over employee salaries. Thus the hypothesis in this study is declared proven or accepted. This shows that the higher the use of the payroll accounting information system, the higher the level of effectiveness of internal control of employee salaries at Perum Bulog. Keywords: Accounting Information System , payroll and Internal Control System Effectiveness
Improving Students' Speaking Skill Using Video at The Tenth Grade of SMA Negeri 1 Matauli Pandan

The teaching of English as a Foreign Language (EFL) speaking is necessary for students to have basic skills of oral communication. Using teaching media in the teaching of EFL speaking might be beneficial to help students improve their speaking skills. Video can provide a comprehensive stimulus for education by providing both an aural and visual model of the target language. The aim of this research was to investigate the use of video as teaching media to improve the speaking skill of the fourth semester students of SMA Negeri 1 Matauli Pandan. In this classroom action research, the writer used three cycles where each cycle has four phases: planning, acting, observing, and reflecting. This research was a collaborative action research in which a collaborator assisted the researcher to collect the data using speaking scoring rubric, questionnaire and field notes. This research was conducted in two cycles focusing on the improvement of the students' speaking performance and their positive attitude to the implementation of the use of video as teaching media in the speaking class. After the implementation of the use of video as teaching media in the speaking class for three cycles, it revealed that the use of video could improve the students' speaking performance and give them positive attitude to the implementation activities. The findings showed that the average score of the students' speaking performance could get some enhancement.
Beberapa Kecerdasan Kontemporer (Analisa Pemikiran Howard Gardner tentang Kecerdasan Majemuk)

IQ is still a measure of intelligence in almost all educational institutions. The smart children, are those whose report card scores are good, their grade point average is above average. In general, the paradigm of intelligence adopted by society, especially our world of education today, can be divided into two types, namely the old paradigm and the new paradigm. First, IQ as a measure of intelligence. Second, the theory of intelligence which offers a broader view, that everyone has several types of intelligence that are sustainable and can be developed for lifetime. How one can use the intelligences to solve problems and create products in a conducive and natural environment.
PEMBUATAN PROGRAM APLIKASI INVENTORY BERBASIS DESKTOP MENGGUNAKAN VISUAL BASIC.NET

&#x0D; "Data-Processing of Package Delivery In PT. MAJI - Salatiga use the programming language visual basic 6.0. with the progress of information technology in this time computer play a part very important in the world of job. In technological growth this computer can assist the us in producing and to save information in a complex system information.&#x0D; In general computer used for the hollowing of duty like typing, but in fact knowledge about computer need more developing so that can overcome the problems which complex progressively.&#x0D; As for one of example of problems able to be overcome with the computer peripheral that is problems of delivery of goods package that happened in PT. MAJI - Salatiga By using programming language of visual basic 06, in this paper writer hope can assist the PT. MAJI - Salatiga in solving problems of delivery of goods package especially, so that will get the data and report which quickly, precisely and accurate. By using input of scrip certificate transaction, town data, data of tariff of package and transaction claim so that can complete the process which have there.&#x0D;
CS-Based Energy-Efficient Service Allocation in Cloud

Nowadays, cloud computing is growing rapidly and has been developed as an adequate and adaptable paradigm in solving large-scale problems. Since the number of cloud users and their requests are increasing fast, the loads on the cloud data center may be under-loaded or over-loaded. These circumstances induce various problems, such as high response time and energy consumption. High energy consumption in the cloud data center has drastic negative impacts on the environment. Literature shows that scheduling plays a significant role in the reduction of energy consumption. In the recent decade, this problem has attracted huge interest among researchers, and several solutions have been proposed. Energy-efficient service (task) allocation with high Customer Satisfaction (CS) constraint has become a critical problem of a cloud. In this paper, a high CS-based energy-efficient service allocation framework has been designed. This optimizes the energy consumption as well as the CS level in the cloud. The proposed algorithm is simulated in CloudSim simulator and compared with some standard algorithms. The simulation results show in favor of the proposed algorithm.
ENGLISH LEARNING DIFFICULTIES AT SMP NEGERI 23 TAKENGON DURING THE PANDEMIC

This study described the difficulties faced by students in learning English during the pandemic at SMP Negeri 23 Takengon. The researchers applied a qualitative study with a phenomenological approach in this current research. Data were collected through several techniques comprising observation, interviews, and documentation. The study used three steps from Miles and Huberman's theory to analyze the data, including data reduction, data display, and conclusions. The results showed that the students face five difficulties in learning English amidst the pandemic comprising learning disorders, learning disabilities, learning dysfunctions, underachievers, and slow learners. Among those five, slow learners become the most dominant difficulty, while learning disorder is the least problematic aspect for the students. Several issues that are likely to cause difficulties are a continuous practice of multiple-choice questions without being given a context, avoiding class, lack of interest in learning English, weak ability to learn fast, and reduced learning hours.
Fine-tuned RetinaNet models for Vision-based Human Presence Detection

Moving towards Industry 4.0, the idea of human-robot interaction (HRI) and human-robot collaboration (HRC) has been popularized. To introduce more robots into the industries, risk-correlated issues would be always on the hook as robots are not as flexible as human. In fact, although robots can replace human workers in some of the dangerous tasks, still human safety is always the top priority for all industries. The most common way to safeguard the human was to isolate the working space of human workers and robots. To realize the idea of Industry 4.0, it is postulated to have the robots and cobots out of the cage to maximize productivity and efficiency. Hence, studies have been conducted with the attempts to free the robots from the isolated working space while preserve the safety of human operators. The present study seeks to explore the feasibility of transfer learning strategy — fine-tuning to human presence detection tasks as the base of practicing safe HRI. A custom image dataset with 1463 images was collected and separated into train, validation, and test set with a ratio of 70:20:10. Three RetinaNet object detection models with different backbone networks were fine-tuned with the acquired dataset to transfer the knowledge learned from source domain to the target domain, which is the human presence detection tasks. The result has shown that the RetinaNet_ResNet152-V1-FPN has the highest test AP of 74.4% with an inference speed of 13.09 FPS, suggesting that it is the best fine-tuned RetinaNet models. This study has demonstrated the feasibility of using fine-tuning as the strategy to train the object detection models, which can possibly act as the base for improving HRI applications via a deep learning visual-based method. In summary, the research has signified the uses of deep learning models to perform human presence detections and can be further extended for HRI safety applications.