Reviewerly/exHarmony huggingface dataset:
A novel association rules data mining method of incremental and time series based Hadoop

Time series data association rule mining needs to go through time series preprocessing, time series compression and other steps. The effectiveness of mining methods mainly depends on the reliability of mining association rules. The advantage of incremental association rules lies in the mining of dynamic data. The CAN-tree can be constructed by scanning the transaction set only once, which improves the mining efficiency of incremental association rules. This paper studies how to mine valuable rules from massive data through association rules on cloud computing Hadoop platform. This paper proposes a new association rules data mining method of time series and incremental based on Hadoop platform.
Prediction of English Online network performance based on Xgboost algorithm

With the popularization of the Internet and the development of artificial intelligence technology, it is profoundly changing the direction of educational innovation, breaking the barriers between online and offline, and making the online education model develop rapidly. With the change of educational methods, how to evaluate the effectiveness of online education has become an urgent problem to be solved. This paper collects students&apos; online learning behavior data through the online English learning platform, and uses visual analysis methods to further explore the influence mechanism of online learning behavior characteristics and academic performance, and analyzes the characteristics of different learning behaviors in different grades. The English online network score prediction based on the XGBoost algorithm in this paper can allow test takers to predict the test score range more conveniently and quickly, saving operation time and improving work efficiency. In this paper, the XGBoost algorithm is used to construct a grade prediction model for the selected learning behavior characteristic data, and then the model parameters are optimized by the grid search algorithm to improve the overall performance of the model, which in turn can improve the accuracy of students&apos; English grade prediction to a certain extent. The final results of the study show that the prediction accuracy remains above 90%, indicating that the accuracy is high and has certain feasibility. The predicted score is slightly higher than the actual score, and the predicted score range should be appropriately reduced to ensure English scores.
Application of GA-SVM algorithm in improvement design of engineering cost model

Aiming at the problems of large data deviation and poor resistance of calculation results in the current construction project cost modeling, structural optimization and calculation improvement are carried out on the construction project cost modeling. The SVM algorithm reduces the influence of external conditions on the calculation results, and further optimizes the construction project cost modeling calculation. By using the SVM algorithm calculation formula for capital estimation, design estimation, and correction calculation, the data processing capability and precision construction are further improved. The purpose of this paper is to study the application of GA-SVM algorithm in the improvement and design of Engineering Cost Model (ECM). This paper analyzes the principle of the SVM, the advantages of the SVM algorithm and the kernel function of the SVM algorithm, and finally obtains the experimental results, The empirical analysis results show that the cost model designed in this paper can effectively estimate the cost of the project cost, with small error value, high budget value accuracy, strong anti-interference ability, short running time, wide application range and strong practicability. We conducted a questionnaire and found that more than 84% of people felt that the design ECM was applied to the SVM algorithm, and found that the design efficiency became high.
Investigating the Impact of Illumination and Viewpoint Variations on Transformer-based Person Re-Identification

Variations in visual factors such as illumination, viewpoint, resolution, background, pose, and so on are commonly regarded as significant issues in object re-identification (re-ID). Despite widespread recognition of their importance in determining the performance of an object re-ID model, not enough attention is paid to how these factors affect re-ID systems. One of the major impediments to investigating how these factors affect the performance of re-ID models is the lack of datasets with unbiased distribution of these difficult visual conditions. To make up for the lack of large-scale datasets with a balanced distribution of such photometric and geometric transforms, recent studies suggest using game engines to generate synthetic datasets. This study proposes a quantitative investigation of the impact of two critical visual factors: illumination and Tranfomer-based re-ID models on synthetic dataset.
Research on the Limitations of UAV Path Planning Based on Artificial Potential Field Method

In this paper, an improved artificial potential field method is proposed to solve the obstacle avoidance problem in UAV path planning. We correct the potential function by introducing correction factors and relative distances, to address the limitations of the traditional artificial potential field method, i.e., target unreachability and local minimum. MATLAB simulations demonstrate the feasibility of the improved algorithm for solving the target unreachability and local minimum problems in path planning.
University education in Serbia during the COVID-19 pandemic - students’ perspective

The COVID-19 pandemic forced the transition to online teaching and learning in Serbian higher education. Therefore, this paper studies the results achieved at Serbian universities during the Covid-19 pandemic. The methods used are the descriptive method together with the scaling technique and the Likert scale. The sample included 400 tertiary-level students from Serbia. The obtained results showed both advantages and disadvantages of online university teaching and learning during the pandemic from the students? perspective, which might contribute to the improvement of this mode of teaching. (SOUV). Factor analysis was applied to determine the main variables that were used for further statistical data processing: the manner in which lectures and tutorials were held, the predominant teaching platforms used, the mode of examination and students? academic achievements during the pandemic. The results proved that online teaching could not replace the traditional mode of teaching. Moreover, the results showed that the predominant teaching platforms used were Google Meet, Zoom and Google Classroom. The majority of the students claimed that the main advantage of taking examinations online was saving time and money, whreas its main disadvantage was technical issues that could impede the process of examination. Also, this research proved that studying in time of the pandemic stimulated their digital literacy. The fact that the respondents stated both advantages and disadvantages of virtual teaching may contribute to the improvement of this manner of teaching. Thus, this paper aims to stimulate future research that will provide an indepth analysis of tertiary-level teaching during the pandemic.
Pengaruh Persepsi Mahasiswa, Motivasi Karir Dan Lingkungan Kerja Auditor Terhadap Minat Mahasiswa Akuntansi Menjadi Seorang Auditor

Auditor is a profession that has an important role in the company. It is not surprising that the need for auditors in Indonesia is always increasing, in line with this, it is expected that students majoring in accounting will later become auditors after completing their education. Seeing the existing phenomena, the researcher is interested in conducting research with theaim of analyzing the relationship between student perceptions, career motivation and auditor work environment on the interest of accounting students to become an auditor (a case study on students majoring in accounting at UNHI). In this case, the active students of S1 Accounting Study Program, Faculty of Economics, Business and Tourism, Hindu Indonesia University class of 2019 semester 6 are the overall research population with a total sample of 131 people. This research will use multiple linear regression analysis techniques to get answers to the formulation of the problem. The results showed that student perceptions, career motivation, auditor's work environment can affect student interest in deciding in the future to become an auditor or not.
ANALISIS SISTEM INFORMASI AKUNTANSI PENGGAJIAN DAN PENGUPAHAN KARYAWAN PADA PRAMUDI ANGKUTAN SISWA GRATIS DALAM UPAYA MENINGKATKAN EFEKTIVITAS PENGENDALIAN INTERN PERUSAHAAN

The payroll accounting system is an important component in accounting information. This system consists of a framework that is interconnected within a company which functions to inform cost data needed by interested parties in the company. The payroll accounting information system that has been implemented by PT. Damri Klungkung Branch and also to analyze the payroll accounting information system on the effectiveness of internal control. This type of research is descriptive qualitative research, which focuses on the payroll accounting information system at PT. Damri Klungkung Branch. Data analysis in this study begins with a description of the payroll accounting information activities, analyzing information, supporting documents, accounting records used, related functions, the network of procedures that make up the payroll and wage systems, and the effectiveness of internal controls. The results of the study found evidence that the Accounting Department is still responsible for paying employees' salaries and wages and is still responsible for supervising the filling of employee attendance lists and making a recap of employee attendance lists so that fraud is possible. Sound practices that are implemented to support the effectiveness of internal control are that the employees' basic salaries are paid by transferring the basic salaries to the account of each employee by the director and the pay slips are made in duplicate.
Is “digital education” the right way forward? – Or is, maybe, postdigital education what is needed!

The use of “digital tools” have usually played an important role in the transformation to “emergency remote teaching” during the pandemic. However, even before the pandemic there has been a strong pressure that education should become more “digital”. Nevertheless, we see several problems associated with the present discourse related to “digitalisation” of education. 1) It often unclear what is meant with “digital education”, 2) very narrow view of “digital tools” too mainly be tools for information and communication neglecting other uses of digital technology, 3) unbalanced focus on “digital tools” there other tools are either neglected or seen as inherently inferior and “old-fashioned”, 4) conflation between “digital” and “distance”, 5) adherence to either a technological determinism or a pedagogical determinism (technology is a neutral tool). Engineering students’ courses of action have been videorecorded in design projects and in electronics labs at two universities. It can bee seen that students’ use a wealth of bodily-material resources that are an integral and seamless part of students’ interactions. They use bodily resources, concrete materials, “low-tech” inscriptions as well as “high-tech” (“digital”) inscription devices. Our results challenge that by hand – by computer and analogue tools – digital tools should be seen as dichotomies. Our empirical evidence suggests that students should be trained to not only be trained to work with “digital” tools but with a multitude of tools and resources. We, thus, advocate that a postdigital perspective should be taken in education where the digital makes up part of an integrated totality.
PENGARUH TINGKAT PEMAHAMAN AKUNTANSI, FUNGSI BADAN PENGAWAS DAN PEMANFAATAN TEKNOLOGI INFORMASI TERHADAP KUALITAS LAPORAN KEUANGAN LEMBAGA PERKREDITAN DESA DI KECAMATAN GIANYA

This study was intended to test the impact of accounting comprehension levels, the function of the supervisory body and the use of information technology on the quality of the LPD financial report in Gianyar district. The study uses independent variables, that is, accounting comprehension levels, the function of the supervisor's bodies, and the use of information technology. while the dependent variable is the quality of the financial report. The sample of this study were 102 respondents. Purposive sampling was used as a sampling method in this research. The data analysis technique includes descriptive analysis, multiple linear regression analysis, validity test, reliability test, classical assumption test, determination coefficient test (R2), F test and T test. Result of the Research shows that variable accounting levels do not affect the quality of financial statements. Meanwhile the function of the body of the supervisor and the use of information technology affects the quality of the financial report.
Identification of social innovations in e-learning education of students during the COVID-19 pandemic

The article is theoretical and analytical in nature and aims to identify the manifestations of social innovations in e-learning education at the Wroclaw University of Economics and Business during the COVID-19 pandemic. The study focuses on the need for academics to use innovative (novel) distance learning tools. In addition, an attempt was made to assess the impact of selected tools on the development of new competencies among students. In order to achieve this goal, a proprietary online questionnaire was developed and free interviews were conducted with students. The survey was created in MS Forms application. A total of 151 students (second year) studying at the Faculty of Production Engineering of the Wroclaw University of Economics were surveyed. The survey period was in the summer semester 2020/2021. The study showed that the use of virtual tools contributed to the development of additional skills among students, such as teamwork and collaboration skills or creativity.
A Study on Virtualization in Cloud Computing

Cloud computing is fastest growing internet technology nowadays. It can be enable on demand network access to a shared pool of configurable resources. The virtualization is a core part of cloud computing which enables physical resources to partition into virtual resources so that they can be shared among individual virtual machines. While using this virtualized resource can be reduce wastage of storage, server and physical machines. The virtualization techniques consist of hardware, hypervisor and virtual machine monitor (VMM). It enables intellectual IT resources on demand dynamic allocation of resources such as network, storage, application, server and client. This hypervisor becomes significant as a way to develop system security, provide greater flexibility, scalability and reliability. In recent years, there is an increased desire to use virtualized systems in enterprise mainly focused on in order to reduce cost and more efficiently utilize resources. This paper describes different types of hypervisor and virtualization techniques, how it helps to expand the elasticity of the resources in cloud computing environment.
Methods of knowledge extraction from natural language texts

The paper considers methods for knowledge extraction from natural language texts. A formal definition of the task is given, two main subtasks are distinguished: concept extraction and relationship extraction. The classification of methods is considered from the point of view of the language and language resources, from the point of view of setting the problem, as well as from the point of view of solving problems of extracting concepts and relations.
Towards Modeling Artificial Consciousness

A new synergetic approach to consciousness modeling is proposed, which takes into account recent advancements in neuroscience, information technologies, and philosophy.
Research on English Education online Learning Platform based on Big Data of Education

In the modern social economy and technological innovation and development, education big data technology research is the main issue of scientific research. According to the accumulated experience of education innovation in recent years, the construction and promotion of big data network information platform can provide more convenient conditions for English education, but most colleges and universities have not realized the importance of network teaching mode, nor have they strengthened the research on network teaching technology in the era of big data. Therefore, on the basis of understanding the development trend of big data of education, this article discusses the design structure of network learning platform of English education deeply, and puts forward effective educational reform measures according to the problems faced by Chinese colleges English education.
Do similar contexts of production entail similar textual features? A corpus-based comparison of the simplification-related features in translation and Academic Writing

This paper explores the relationship between the context of production of texts and their specific features. With this aim, the study compares the features related to syntactic and stylistic simplification between two textual practices: translation and Academic Writing. Actually, both practices are produced in common contexts with similar purposes. Further, the exam of simplification-related features in different sets of texts translated into English from different languages also allow for further verifying the translation universals hypothesis of simplification. For the analysis, an archive of four comparable corpora of English texts is compiled, representing original and translated versions of academic and non-academic texts, respectively. Once determined concrete indicators of simplification (lexical variety, lexical density, mean sentence length, presence of subordination and of non-finite sentences), a corpus-based methodology is used to identify each one of them in each set of texts, according to the hypothesis that both practices present the same simplification-related features at the same extent. The comparison of the results refutes both hypotheses, showing that each practice presents different simplification-related features and, in all the analyzed corpora, originals result to be simpler than translations. Moreover, the distribution of the examined indicators across the four corpora seems to follow a regular pattern suggesting an interesting point of departure for further studies.
Relation between Ocean Literacy and Science Learning Outcomes of Class IX SMPN 04 Keruak, Lombok Timur 2022

Ocean has abundant resources which if we manage properly, can support the sustainability of life and ecosystems. Managing the ocean requires good ocean literacy. Ocean literacy is knowledge about the sea. Ocean literacy needs to be developed in a learning system to increase the next generation's knowledge about the sea. In addition, science learning outcomes are important to know as a measure student's mastery of science to understand natural phenomena both land and sea, it is also important to see how the relationship between ocean literacy and science learning outcomes. This study aims to see how the level of student's ocean literacy, science learning outcomes, and how the relationship between ocean literacy and science learning outcomes at SMPN 4 Keruak. The results showed that the literacy level of class IX students at SMPN 04 Keruak was 24.49 then the results percentaged to 24% which was very low. Student learning outcomes obtained an average of 34.1 in the low category, no students had scores above the standard point so that the value P more than 59. The relationship between ocean literacy and learning outcomes obtained a significant correlation value of 0.065 which is not correlated with a correlation coefficient of 0.240 which has a weak correlation. If viewed from the significance value, it is not correlated because the value obtained is greater than the rtable, but the difference is very small, it is just 0.01 so that when viewed from the correlation coefficient it can be categorized as weakly correlated, not uncorrelated at all
Image Haze Removal Method Based on Histogram Gradient Feature Guidance

Optical remote sensing images obtained in haze weather not only have poor quality, but also have the characteristics of gray color, blurred details and low contrast, which seriously affect their visual effect and applications. Therefore, improving the image clarity, reducing the impact of haze and obtaining more valuable information have become the important aims of remote sensing image preprocessing. Based on the characteristics of haze images, combined with the earlier dark channel method and guided filtering theory, this paper proposed a new image haze removal method based on histogram gradient feature guidance (HGFG). In this method, the multidirectional gradient features are obtained, the atmospheric transmittance map is modified using the principle of guided filtering, and the adaptive regularization parameters are designed to achieve the image haze removal. Different types of image data were used to verify the experiment. The experimental result images have high definition and contrast, and maintain significant details and color fidelity. This shows that the new method has a strong ability to remove haze, abundant detail information, wide adaptability and high application value.
Pengaruh Kecanggihan Teknologi Informasi, Kemampuan Teknik Pemakai, Dan Dukungan Manajemen Puncak Terhadap Kinerja Sistem Informasi Akuntansi (SIA)

Thisstudy aims to tell how theinfluence of InformationTechnology Sophistication,User Technical Ability andTop ManagementSupport on Accounting InformationSystem Performance.This research has beenconducted at BPR inDenpasar Region.Where the sample in this studyamounted to 147employees who areinvolved in the useof accounting information systems.The sampling methodused in thisresearch is purposivesampling.Based on theanalysis test results, it isknown that the influenceof InformationTechnology Sophistication, UserTechnical Abilityand TopManagement Supporthas a positiveand significant effect onAccounting InformationSystem Performance
Pengaruh Penerapan Sistem Informasi Inventaris Udayana Dan Sistem Pengendalian Intern Terhadap Kualitas Laporan Keuangan Pada Satuan Kerja Universitas Udayana

This study was conducted to determine the effect of the application of the Udayana inventory information system and intern control system on the quality of financial reports at the Udayana University work unit. The samples in this study were employees at the Sub-Division of Accounting and Reporting of State Property (BMN Aklap), employees at the Sub-Division of Accounting and Financial Reporting (Aklap Finance) and Udayana inventory information system operators at Udayana University so that a sample of 56 people was obtained from the total employees at the Udayana University work unit. The data collection technique used a questionnaire which was analyzed by multiple linear regression analysis using SPSS software in data processing. This study shows that the implementation of the Udayana inventory system has a positive and significant effect on the Quality of Financial Reports and the Internal Control System has a positive and significant effect on the Quality of Financial Reports.