Reviewerly/exHarmony huggingface dataset:
The Development of Dynamic Virtual Tour at Subak-Tabanan Museum

The development of a Dynamic Virtual Tour at the Subak-Tabanan Museum is an information system needed by the Tabanan Regency Culture Department as a medium of information and archives for the Subak Museum to become a cultural tourism destination.The use of digital-based information media at the Subak Museum still needs to be improved, so digital information media is needed in the Cultural Department of the Regional Technical Implementation Unit of the Subak Museum in particular.This information system will invite users to enjoy and see how the environment at the Subak Museum.The users or virtual tour visitors can follow the panorama displayed so that it is felt to be an experience as if they were in the Subak Museum.A Dynamic Virtual Tour at the Subak-Tabanan Museum is developed using the waterfall method.This method has four stages, namely the stages of analysis, design, development and testing.In the content expert test, the coefficient value is 1.00, and the results from the media expert test get a coefficient value of 1.00.So that the content expert test and media expert test can be categorized as "Very High" with "Very Valid" criteria.In the response test using the User Experience Questionnaire (UEQ) method, the attractiveness results get 2,338 results on the indicator showing a positive direction, clarity on getting 2,275 results on the indicator showing a positive direction, efficiency getting 2,342 results on the indicator showing a positive direction, accuracy getting 2,238 results on the indicator shows in a positive direction, the stimulant gets 2,338 results on the indicator showing a positive direction and novelty gets 2,300 results on the indicator showing a positive direction.The results of the presentation of the User Experience Questionnaire (UEQ) assessment showed a positive impression of the development of the virtual tour.
A Robust Data Hiding Scheme Using Singular Value Decomposition and Wavelet Transform

Due to latest development in computing and communication technologies, there are various kinds of digital contents on the internet in terms of audio, video, and images. Also, there are many freely available softwares that can modify a given digital object. These softwares have created a challenge for the owners of the original contents. Digital image watermarking secret data hiding may be helpful in addressing this problem digital contents. This chapter discusses a data hiding scheme by using the singular value decomposition (SVD) and digital wavelet transform (DWT). Our scheme performs better than the recent methods for the quality and the extracted watermark image.
Book Review: Wilson: The Human Side of Changing Education: How to Lead Change with Clarity, Conviction, and Courage

This is a book review for Wilson's The Human Side of Changing Education
Construction project management monitoring system using s-curve

Every construction project generally has a specific implementation plan and implementation schedule: when to start the implementation of the project, when to complete the project, how to do the project, and how to provide resources. Making a plan for a construction project always refers to the estimates that exist when the scheduled development plan is made. Therefore, problems can arise if there is a mismatch between the plan that has been made and its implementation. With the limited resources in the company, thorough and good planning is needed as a guide in carrying out the project to use resources efficiently and organize work to be completed according to the time specified in the contract. To achieve this goal, the manager controls the project with an s-curve by comparing the actual curve graph with the plan curve graph. The method to be used in monitoring the progress of construction projects is the s-curve. The use of the s-curve method is very supportive because it is suitable for monitoring project progress in terms of performance, cost, and timeliness of project work. The results of this study show that the construction project management monitoring website using the s-curve can create a cost budget plan that follows the contract document, a schedule plan, a weekly project report, and a project report recapitulation. The output results are displayed in the form of a Gantt Chart, and S-curves are completed with plan curve lines and realization curve lines. This project management monitoring website has a multi-user feature so that more than one user can use it.
BADE: BEV-Adaptive Distance Estimation Neural Network based on Monocular Cameras

Distance estimation is a pivotal component of environment perception of autonomous driving. The current mainstream distance estimation methods are mainly based on binocular cameras and laser radars, which are, however, either difficult to calibrate or expensive. It is promising to perform distance estimation based on monocular cameras, which are less expensive and easier to calibrate. But depth information is lost in a single image of monocular cameras so that it is more challenging to ensure the distance estimation precision compared with other methods. To address this challenge, this paper proposes a neural network for monocular distance estimation, which estimates the distance of objects within a single image in an end-to-end way. More specifically, we implement an object detection neural network to detect objects, fuse that object detection network and the distance estimation methods based on bird's-eye view to form our BEV-Adaptive Distance Estimation Neural Network(BADE) based on bird's-eye view, which generates multi-objective distance estimation. Meanwhile, we enhance our BADE by inserting an auxiliary network branch into the object detection network, which takes the distance estimation results as feedback to better train the object detection neural network and can improve the distance estimation precision. Experiments demonstrate the performance of the proposed BADE.
A New Three-Level Recursive Differential Grouping Method for Large-Scale Optimization

Cooperative co-evolution (CC) is an evolutionary framework that breaks down a complex problem into several sub-problems and then solves them separately. It is particularly effective in dealing with large-scale optimization problems. Recently, a three-level recursive difference decomposition method has been proposed. This method can divide one set into three equal parts according to the interaction between sets, and then detect the interaction between the subsets and another set. In this paper, a novel three-level recursive differential decomposition method is proposed. Based on the former method, a reference to historical interactive information is introduced, which significantly improves the decomposition efficiency. This decomposition method performs well in CEC2010 and CEC2013 test functions, saves more calculation than other differential grouping methods, and has good competitiveness in the two CC frameworks.
Target detection and tracking of traffic flow at intersections with camera

This paper mainly studies the extraction of traffic flow parameters from intersection surveillance videos, which is an important issue of traffic management. The fusion algorithm of YOLO and DSST (Discriminative Scale Space Tracker) is used to obtain time headway and PCU (Passenger Car Unit) at intersections. By narrowing the recognition range and generating hotspots during target tracking, the recognition effect is enhanced. Experiments show that the optimization algorithm can more accurately extract intersection traffic flow parameters. Compared with only using the recognition algorithm, the average PCU accuracy rate of the proposed algorithm in this scenario is increased by 6.8%. Compared with using the YOLO+DSST algorithm, the average correct rate of the proposed algorithm in this scene is increased by 3.15%.
Quantum Cryptography - The Future of Communication and Internet Security

Cyberspace has become the most popular carrier of information exchange in every corner of our life, which is beneficial for our life in almost all aspects. With the continuous development of science and technology, especially the quantum computer, cyberspace security has become the most critical problem for the Internet in near future. In this paper, we focus on analyzing characteristics of the quantum cryptography and exploring its advantages of it in the future Internet. It is worth noting that we analyze the quantum key distribution (QKD) protocol in the noise-free channel. To include real practical stimulators, there are developed various QKD Schemes for the noisy channels. Here we develop the unconditional security of quantum cryptography theoretically, which is suitable for the Internet as ever-increasing challenges are inevitable in the future. Quantum key distribution (QKD) uses individual light quanta in quantum superposition states to guarantee unconditional communication security between distant parties. In practice, the achievable distance for QKD has been limited to a few hundred kilometers, due to the channel loss of fibers or terrestrial free space that exponentially reduced the photon rate. Also experimentally it is proved that the Satellite-based QKD promises to establish a global-scale quantum network by exploiting the negligible photon loss and decoherence in the empty space. In this paper, we also give some introduction to various public-key cryptography and also touch on the various functions, advantages, and disadvantages of quantum cryptography and the need for quantum cryptography in the future as in data encoding, and digital signatures, and many more. It also covers the various securities issue of our current cryptography system. Different protocols BB84 i.e., the first QKD protocol also some other protocols, and finally the future directions of quantum cryptography followed by the conclusion of the paper.
Application of Naive Bayes Algorithm to Analysis of Free Fatty Acid (FFA) Production Based on Fruit Freshness Level

Cooking oil is a basic need for everyone who is used to process food ingredients. The use of cooking oil repeatedly and continuously by heating at high temperatures can increase the free fatty acid levels in the oil. The more the oil is reused, the higher the free fatty acid content. Testing the levels of FFA in oil can be done using the FFA test, because FFA can affect the selling price of CPO when it is marketed. In addition, FFA affects the levels of free fatty acids of CPO. This study aims to determine the analysis of FFA production in palm oil products based on the level of freshness of the fruit. The research was conducted by classifying data mining using the NaÃ¯ve Bayes Algorithm. The NaÃ¯ve Bayes algorithm was used to determine whether FFA production had an effect on fruit freshness, fruit quality and fruit soiling. The research was conducted using RapidMiner Studio 9.10 tools. The results of the research from the distribution table show that the value of the FFA attribute obtained 2 conditions, namely super conditions and normal conditions. Where each of these attributes is influenced by the variables of fruit freshness and fruit quality. Probability accuracy results from 60 training data and 40 testing data used are 92.50% for super FFA conditions.
Automatic Recognition of Teachers’ Nonverbal Behaviors Based on Graph Convolution Neural Network

Teachers' nonverbal behavior recognition is one of the most important ways to evaluate teachers' teaching behavior. Traditional methods of teachers' nonverbal behavior recognition are mostly from manual judgment which is time-consuming and labor-intensive. In recent years, with the continuous progress of artificial intelligence technology, automatic recognition of teachers' nonverbal behaviors has gradually attracted researchers' attention. In this paper, an automatic recognition of teachers’ nonverbal behaviors based on graph convolution neural network is proposed. Firstly, we define five types of teacher nonverbal behaviors based on the existing relevant literature, and two datasets are made for experimental verification. Secondly, based on the extracted teacher's skeleton points by target detection algorithm and human pose estimation algorithm, a graph convolutional neural network is constructed to automatically identify teacher nonverbal behaviors. Experimental results show that the proposed method can effectively realize teacher's nonverbal behavior recognition. The research in this paper is helpful to solve the automatic recognition of teachers' nonverbal behaviors, and help teachers to optimize teaching strategies and improve teaching efficiency.
SOFTWARE ARCHITECTURE FOR MATHEMATICAL MODELING BASED ON INTERVAL AND ONTOLOGICAL APPROACH

The paper substantiates the use of the ontological approach as an effective tool for managing the processes of building mathematical models based on interval data and using these models for applied problems. The use of the ontological model made it possible to formalize the process of obtaining, storing and using knowledge obtained in the process of mathematical modeling. The article also presents the features of building a software architecture for mathematical modeling based on interval analysis and an ontological approach. The technology for creating software based on the developed ontological add-on for mathematical modeling using interval data for various objects, as well as various forms of user interface implementation, is described. A number of diagrams illustrating the peculiarities of using the ontological approach based on interval data are presented and the peculiarities of its interpretation in applied fields, in particular, in the tasks of environmental monitoring, are described.
Current trends, promising directions and optimal solutions in the field of development of environmental-focused additional professional education

The article presents the material of a Scientific and practical seminar, which was held on December 28, 2021 at the Russian Academy of Sciences on the development of eco-oriented additional professional education. The article outlines the problems, goals and objectives, organizers and participants of the Seminar. The article summarizes the material of the Seminar participants, which was reported and discussed at the Seminar in the interests of identifying priority areas of additional vocational education; identifying the main partners and possible areas of mutually beneficial cooperation in the field of additional vocational education; developing optimal organizational schemes for the development of additional vocational education, taking into account available resources; choosing the most modern and relevant format and forms of training according to the programs of additional vocational education; determination of the prospective contingent of students according to the programs of additional vocational education; identification of priority needs in the field of personnel and logistical support of additional vocational education; development of an algorithm of actions for the preparation of these programs for implementation, taking into account the accumulated potential and achievements, domestic experience in this field. The material of the article contains the results of the discussion at the Seminar of current trends in the socio-economic development of Russia and civilizational development; current trends in the development of the market of educational services in the field of additional vocational education and the possibility of taking them into account in practice; problems and topical issues of practical activity in the field of additional vocational education; possible solutions in the field of development of additional vocational education, taking into account the accumulated experience potential and achievements, domestic experience in this field.
AUTONOMOUS LEARNING IN ELT: STUDENTS’ PERCEPTIONS AND PRACTICES

Autonomous learning is considered to be an important tool and is expected to appear in English language learning because it can have a positive impact on the learning process of students. Mainly in the English Language Teaching Department, various studies have been conducted on the views of students and teachers on autonomous learning. However, there is still a lack of investigations on autonomous learning in the context of non-English majors’ students. This research aims to investigate students' perceptions of autonomous learning in English language learning. In addition, the research focuses on exploring students' practice in autonomous learning activities. The questionnaire and semi-structured interview were applied to a randomly selected sample of one hundred forty-nine (149) accounting students. The research findings show that students have a positive attitude towards autonomous learning and the importance of autonomous learning in language learning. Meanwhile, in terms of implementing autonomous learning itself, the students possess low efforts. Therefore, it is recommended that in order to improve the autonomous learning of accounting students of Universitas Pamulang in English teaching and learning, it should be integrated into English teaching and make it an integral part of the EFL curriculum.
THETECHNOLOGY OF DỪNDỨN DRUMS IN YORUBA CULTURE

Musical instruments, no matter what culture on earth they are found in, often represent themost complex technologicaldevelopment of that particular culture. For instance, Dừndứndrums are the most famous traditional drums in Yoruba culture. It is the principal and themost popular type of instrumental music in Yoruba culture. It has a key role in traditionalevents, celebrations and functions that are dear for the culture e.g.birth, naming, burial andfuneral ceremonies. Dừndứndrum is used for various ceremonies because it is capable ofproducing music that is specific to an occasion. But what goes into its making that gives itsuch a potential? This paper thus attempts to discuss the origin, overall-shape, andconstruction, as regard the methods of attaching the skin to the body of frame of the drum,the tuning and the techniques of playing Dừndứn drums in Yoruba culture.
Unified three-pathway framework for naturalness preservation image enhancement

Digital camera sensors capture natural images in low-light conditions, resulting in poor imaging results. Existing low-light image enhancement (LLE) often yields unnatural results due to over-enhancement, artifacts, severe noise, etc. Prior studies either perform visual dual-pathway mechanisms or Retinex prior optimization for image enhancement. However, image enhancement based on the former generates artifacts because it directly stretches contrast in the structural layer with mixed high- and low-frequency information. The latter results in over-enhancement due to adding empirical prior items to the objective function. Thus, a unified three-pathway framework is proposed to address the aforementioned deficiencies for LLE. Specially, the proposed framework is composed of detail pathway, reflection pathway, and illuminance pathway. First, three information processing pathways can be obtained through different image decomposition strategies. Second, an indirect noise suppression strategy is developed in the computational flow of detail pathway and reflection pathway to address noise amplification problem of image enhancement. Third, the naturalness preservation enhancement task is conducted in the reflection pathway and illuminance pathway. Finally, the outputs of different pathways are weighted and fused to enhance low-light image. Moreover, qualitative and quantitative experimental results on two test datasets show that the proposed framework outperforms state-of-the-art methods.
The BIM Implementation for Preparing Mutual Check-0 (MC-0) Documents in the Building Development Project of Edusmart Soerojo Hospital Magelang

The development of Building Information Modeling (BIM) technology in the construction sector has been a solution to the problem of preparing planning documents that often occur. It can lower the discrepancy between the value of the planning contract and the value of the building construction implementation contract. The BIM system defines the physical characteristics of a design model into information that can be implemented at several stages of construction work, one of which is Mutual Check 0 (MC-0). Preparing documents (MC-0) on construction projects aims to adjust planning documents in the form of analysis of work items, working drawings, and calculation of the volume of work that affects the contract value. In a short time, the parties involved in construction work, such as contractor service providers and supervisory consultants, need to check the planning volume to match the actual volume of work in the field. In the Edusmart Soerojo Hospital Magelang Building construction project, Building Information Modeling (BIM) is used to check the volume of work. This checking process is assisted by using the Autodesk Revit 2021 software. This study reviews the effectiveness of BIM in preparing documents (MC-0) using a comparative descriptive method, comparing the volume of work in contract documents with the actual volume in the field. This study's results show a difference between adding and reducing volume in the field. The addition occurred in earthworks and excavation, foundation structure, 1st-floor structure, 2nd-floor structure, roof floor structure, and Ground Water Tank (GWT) work. In contrast, the decrease occurred in the sloof understructure and roof work. The total volume obtained indicates a difference in the contract value of the structural work, which has increased by 9.47%. The initial planning contract value was IDR 5,569,152,785.40, an increase of IDR 527,623,004.49 to IDR 6,096,775,789.89.
Roy Youdale. <i>Using Computers in the Translation of Literary Style: Challenges and Opportunities</i>. Routledge, 2020. ISBN: 978-0-367-14123-3. Paperback £39.99

Sciendo provides publishing services and solutions to academic and professional organizations and individual authors. We publish journals, books, conference proceedings and a variety of other publications.
DIRAC at JINR as a general purpose system for massive computations

Abstract Joint Institute for Nuclear Research (JINR) has several large computing facilities: Tier1 and Tier2 grid clusters, Govorun supercomputer, cloud, and LHEP computing cluster. Each of them has different access protocols, authentication and authorization procedures, data access methods. With the help of the DIRAC Interware, we were able to integrate all these resources to provide a uniform access to all these facilities. Right now, it is possible to perform basic workflows on all resources. The main use-cases covered by the DIRAC service in JINR: centralized Monte-Carlo simulation for the MPD experiment, Monte-Carlo for the Baikal-GVD neutrino telescope, as well as running jobs for the Folding@HOME project. During the pre-production stage, it is important to estimate the characteristics of user jobs. That information is crucial for planning of the execution process on different resources. An approach was elaborated to collect data about RAM, CPU, and network consumption by each user job. This helped to tune the mass production algorithms before the production actually starts. Since the system processes tens of thousands of similar jobs during one particular production, it appeared to be possible to collect from DIRAC data about these jobs and perform analysis of their execution parameters. We collect data related to the CPU model, wall-time, CPU benchmark DB12, hostname, username, and resource name. An approach was elaborated to extract meta-data about job execution and visualize it. With this visualization, it became possible to compare different computing resources, study the CPU and worker node performance. This approach does not require submitting special jobs, so the resources are not wasted for this analysis.