Reviewerly/exHarmony huggingface dataset:
Survey on File Trace: Efficient File Tracking System

An organization's information flow can be managed and tracked with the use of a file tracking system, which is a software-based solution. It is a crucial tool for companies that produce a lot of papers and need to make sure they are available, safe, and simple to find. By automating the administration of their papers, businesses can make sure that they are kept in a centralised location and are accessible to authorised staff. The system assigns a unique identifier to each document, making it easy to locate and retrieve information quickly. File tracking systems also provide features such as version control, which allows users to track changes made to documents over time. This feature is particularly useful for businesses that need to maintain compliance with industry regulations and standards. One of the key benefits of a file tracking system is the ability to automate routine tasks, such as routing documents for review and approval. The system can be configured to automatically notify users when a document is ready for review or when changes have been made to a document. Finally, file tracking systems can help organizations to ensure the security of their documents. The system can be configured to restrict access to sensitive documents, ensuring that only authorized personnel can view or edit them. In summary, For companies that produce a lot of documents, a file tracking system is a crucial tool. It offers a central location for papers, automates repetitive operations, enhances communication, and protects data. By implementing a file tracking system, organizations can streamline their document management processes and improve their overall efficiency.
STUDI KINERJA HANDHELD PORTABLE 3D SCANNER DALAM PENGUKURAN DIAMETER DAN KEDALAMAN LUBANG PADA SPESIMEN LOGAM

A Handheld portable 3D Scanner is an optical-based tool that can be gripped by hand and moved from one place to another. This tool is used to scan part’s surface and produce a 3-dimensional representation in the form of a point cloud. The use of 3D Scanners has grown significantly in recent years, especially in applications in the metrology, industrial manufacturing inspection, and reverse engineering. Apart from the ease of use and flexibility of use, as an optical-based tool with triangulation principles, Handheld Portable 3D Scanners have limitations in scanning the geometric shape of a narrow hole or slit. The specifications published by the manufacturer do not fully describe tool’s performance in this regard. For this reason, an evaluation of the performance of the Handheld Portable 3D Scanner is carried out by determining the error of measuring holes on the workpiece with variations in depth and diameter. As a reference value, the results of the Coordinate Measuring Machine –CMM measurement are used. . The study result show that handheld 3D scanners generally have an error in measuring the diameter and measuring the depth of the hole, above the specification of 0.03 mm. In holes with a diameter of 1 mm, the handheld 3D scanner has a relationship between the error of measuring hole’s diameter and hole’s diameter with the regression equation: y=0.037x-0.54. En values categorized as "outliers" were found in holes with a diameter of 1 mm with a depth of 0.5, 1, 2, 4 mm and holes with a diameter of 2mm with a depth of 4 mm.
Evaluation Between Hijacksandals and Tufshoes Website Using Usability Testing Application

In the field of trade, the existence of internet technology allows business transactions not only to be carried out directly, but to be able to use this technology too. Internet media itself began to be widely used as a medium for business activities, especially because of its contribution to efficiency. Shoe products are very needed item, This has led to increasing number of online shoe sellers because of the opportunity to sell shoes online is very possible to get a high income because of the large number of customers who will buy shoe products via online. One of the websites that sell shoes online is Tushoes.com and Hijacksandals.com. Both websites have a lot of customers so it is quite important for both websites to improve the quality of their websites in order to satisfy customers by achieving their goals efficiently and effectively. Therefore, this research was conducted to determine the level of effectiveness, efficiency, and user satisfaction using System Usability Scale (SUS) questionnaire so that later appropriate recommendations can be given. Based on the results of the System Usability Scale (SUS) questionnaire and the SUS Test calculation, it can be seen that the two websites have quite good results. This proves that the two websites are satisfactory enough, respondents already feel that both websites are easy to navigate because these websites are also online shop websites so they don't have too complicated designs, and respondents also feel that many people will find it easy when using these websites, but the two websites still need some improvements or improvements to the website display design.
Big Data Solutions with Cloud Computing: Recent Trends and Approaches

Big Data and Cloud Computing has become trends and technologies of the day.The daily explosion of data means that it's better to have big data included in the applications.Whereas cloud computing is allowing users to use platforms according to their time, convenience and affordability.Cloud computing seems to be a perfect vehicle for hosting big data workloads.However, working on big data in the cloud brings its many challenges of reconciling two contradictory design principles.Cloud computing is based on the concepts of consolidation and resource pooling, but big data systems (such as Hadoop) are built on the shared nothing principle, where each and every node is independent and self-sufficient.The integration of big data with cloud, businesses and educational institution can have a better direction to the near future.Various analytics and technology involved in coupling of big data with cloud computing, the challenges involved in this process, trends applications of the domain and security issues involved have been discussed in this paper.
Secure Smart Contract Based on Blockchain to Prevent the Non-Repudiation Phenomenon

Blockchain is an innovative technology that has gained interest in all sectors in the era of digital transformation where it manages transactions and saves them in a database. With the increasing financial transactions and the rapidly developed society with growing businesses many people looking for the dream of a better financially independent life, stray from large corporations and organizations to form startups and small businesses. Recently, the increasing demand for employees or institutes to prepare and manage contracts, papers, and the verifications process, in addition to human mistakes led to the emergence of a smart contract. The smart contract has been developed to save time and provide more confidence while dealing, as well as to cover the security aspects of digital management and to solve negotiation concerns. The smart contract was employed in creating a distributed ledger to eliminate the need for centralization. In this paper, a simple prototype has been implemented for the smart contract integrated with blockchain which is simulated in a local server with a set of nodes. Several security objectives, such as confidentiality, authorization, integrity, and non-repudiation, have been achieved in the proposed system. Besides, the paper discussed the importance of using the Blockchain technique, and how it contributed to the management of transactions in addition to how it was implemented in highly transparent real-estate scenarios. The smart contract was employed in creating a distributed ledger to eliminate the need for centralization. The elliptic-curve public key has been adopted as an alternative for the RSA in a signature generation/verification process and encryption protocol. For secure transactions, The Secure Socket Layer (SSL) also has been adopted as a secure layer in the web browser. The results have been investigated and evaluated from different aspects and the implementation was in a restricted environment. Experiments showed us the complexity of time and cost when using the (ECC) algorithm and using (RSA) algorithm depending on the size and length of the key. So if the size of the key in (ECC) equals (160) bits, and it corresponds to (1024) bits in (RSA), which is equivalent to 40% for (ECC) and 30% for (RSA). As a result, the (ECC) algorithm is complex, its key is smaller and the process of generating the key is faster, so it has achieved a high level of security.
The effectiveness of template and example paper implementation in developing student writing skills in science courses

The use of templates and examples of papers separately is proven to be able to develop students' writing skills. The average degree of mastery that can be achieved is already in the good category. Using various learning facilities can be a solution to improve these achievements into a very good category. This study aims to analyze the effectiveness of implementing templates and sample papers in developing students' writing skills in science courses. The pre-experimental research was conducted on elementary school teacher education study program students. Data on each student's scientific research paper writing skills were collected using the documentation method. This data was then analyzed descriptively. The descriptive analysis includes average and proportion measurements. Based on the results of data analysis, it was found that the average student's skills in writing papers were in a good category. Most students have very good (41.44%) and good (40.54%) categories of writing skills. 13 indicators have reached the very good category, one indicator is in a good category, and two indicators are in the sufficient category. The rests are one indicator still in the less category and four indicators in the less category. The conclusion that can be drawn from this research results is using examples and paper templates as effective learning facilities to improve students' writing skills.
SUPPLY CHAIN DAPP USING BLOCKCHAIN

Supply chain management (SCM) is a crucial business activity in charge of moving products and services among various parties and locations.The traditional SCM is based on a centralized approach, with all other suboffices receiving instructions from the main office, which is handled at the central headquarters.Security, transactional transparency, traceability, stakeholder involvement, product counterfeiting, additional delays, fraud, and instability are some of the primary problems with current SCM systems.Blockchain (BC) is a new technology that may manage data effectively and transparently while fostering trust.Additionally, it can help with payments sent directly to a party or with supply chain transaction permission and verification.BC technology provides a workable answer to the current SCM problems.In this research, we present a survey on the adoption of BC in SCM, which is inspired by the aforementioned factors.This article does a thorough examination of the literature on BC implementations, features, and business outcomes in various SCM.The main factors driving BC's application in SCM are transparency and traceability, information exchange, product anticounterfeiting, and developing trust.We also looked at other SCM applications where BC might be used as a potential technique to protect every transaction.Then, we have emphasized unresolved problems and research obstacles for implementing BC technology in SCM, which opens openings for newcomers willing to begin working in this incredible field.
Research on the Effective Application of Flipped Classroom Teaching Mode in Physical Education Teaching

Flipped classroom" is a teaching mode that has attracted increasing attention and is widely used in subject teaching.Discuss the practical significance of its application in physical education teaching in higher vocational schools and propose application strategies such as establishing a new teacher-student relationship, effectively utilizing, and developing teaching resources, creating new teaching assessment methods, and increasing teacher training, to lay a solid foundation for the reform of higher vocational physical education teaching.The flipped classroom teaching mode can help students internalize knowledge, thereby promoting students' growth; it has positive significance for physical education teaching in higher vocational colleges.It can improve students' ability to understand and accept through personalized teaching mode, thereby promoting the rapid formation of sports skills, but also can shorten teaching time and improve teaching efficiency.
Improving Depth-map Accuracy by Integrating Depth Estimation with Image Segmentation

NTT Service Evolution Laboratories is conducting research and development on new media-processing technologies to enable natural interaction by presenting information that influences the visual senses.This article introduces our current research and development of a media-processing technology for improving the accuracy of depth maps by combining depth estimation with image segmentation and a system that uses this technology to generate HiddenStereo (a technology developed by NTT Communication Science Laboratories) images, which enables natural three-dimensional viewing from monocular two-dimensional images.
Solar Irradiation Prediction Using Neural Networks

The solar energy on the earth is abundant in nature; however, its full utilization is still a concern. Due to the high infrastructural cost of setting up a solar plant and uneven distribution of solar energy, it is difficult to switch to solar energy. But, the clean and abundant nature of solar energy is the most appropriate alternative for the conventional energy sources. The presented model predicts the Direct Normal Irradiance (DNI) and Diffused Horizontal Irradiance (DHI). The models which are employed are (i) forward backpropagation neural network, (ii) time series model, (iii) autoregression. The second and third models are time series model. The model validation has been done using correlation score and R-squared score.
DNS Tunnel Detection Scheme Based on Machine Learning in Campus Network

DNS tunnel is a type of tunnel technique based on DNS protocol. It is usually used to establish C&C channel between the controlled host and master server in botnet by cybercriminals. This paper proposes a novel system to detect DNS tunnel intelligently. We first analyze domain characteristics from three aspects: payload-based features, traffic-based features, and resolution-based features, and then extract the representative features from the raw DNS servers in a real-world educational network. Finally, a fusion RF-LR model is proposed to classify the DNS tunnel, which first uses random forest as base learner and then takes leafnodes of each decision tree as input attributes of the logistic regression process. The experimental results demonstrate that our model is superior to other algorithms in terms of accuracy, recall and stability.
Applying Wattpad Platform as an Instruction Medium to Improve Reading Skills Viewed from Reading Strategies

The use of Wattpad platform as an instructional medium can be a vital tool for teachers to facilitate students' reading comprehension skills. By employing effective reading strategies, students can comprehend texts more efficiently. This study aims to enhance students' reading proficiency in narrative texts by utilizing Wattpad platform as a medium, and to evaluate the students' perception of the platform's effectiveness in teaching narrative texts. This research followed a classroom action research (CAR) design, which involved the researcher, collaborators, and tenth-grade students from senior high schools. The CAR process consisted of planning, action, observation, and reflection. The research data were both qualitative and quantitative. Quantitative data was gathered from the post-test, while qualitative data was obtained through observation. The researcher employed SPSS software to analyze the quantitative data. The results showed that the mean score of the post-test was 84, indicating that the Wattpad platform application method can enhance students' reading proficiency in narrative texts. This was further confirmed by field notes and observation sheets of the teaching process, indicating that the students enjoyed the reading class and their reading abilities had improved. Moreover, the students perceived the use of Wattpad platform as very effective, with a response rate of 48 students answering (A) very good. The students' focus, drive, earnestness, and responses were deemed satisfactory, with continuous improvement in their self-assurance and reading proficiency. The educational activities were found to be interesting, suggesting that the use of Wattpad platform as an instructional medium can be beneficial for enhancing students' reading skills.
Context-Aware Recommender Systems: Aggregation-Based Dimensionality Reduction

Context-aware recommender systems (CARS) rest on a multidimensional rating function: Users $$\times $$ Items $$\times $$ Context $$\rightarrow $$ Ratings. This multidimensional modelling should improve the quality of the recommendation process, but unfortunately, it is rare or even impossible to have ratings for all possible cases of context. Our objective is therefore twofold: (i) to reduce the dimensionality of the contextual information (in order to reduce the sparsity), which leads to (ii) propose a technique for aggregating the ratings associated with the aggregated dimensions. To do this, we organize, in the CARS utility matrix, the contextual information according to hierarchical dimensions as is done in OLAP (OnLine Analytical Processing) and we use a regression-based approach for the rating aggregation according to previously defined hierarchies. Our approach supports multiple dimensions and hierarchical aggregation of ratings. It was validated on two real world datasets.
Mining library virtual reference service data by using the software NVivo 12

In the information age, virtual reference service (VRS) has gradually replaced the traditional face-to-face (F2F) reference and become an important way of reference for library users. Based on grounded theory, this research uses NVivo12 software to mine the virtual reference service data of users in the Sichuan University library, the first is high-frequency word analysis, and the second is mining the data by combining open coding, spindle coding, and selective coding. The analysis results of high-frequency words show that in the process of using various services of the library, the contents of the virtual reference service mainly focus on the following aspects: hours, literature resources, space, and facilities. The coding results show that the library virtual reference service data could be encoded into three core categories, they are "library spaces and facilities", "collections and electronic resources" and "services", where "library spaces and facilities" is the most concern aspect of the library users, which has 359 nodes, accounting for 50.71% of the total, and the proportion of "collections and electronic resources" and "Services" is not much different, 27.26% and 22.03%, respectively.
Intelligent management and control of integrated energy operation site based on narrowband Internet of Things

In view of the long response time of integrated energy operation site management and early warning and the inability to quickly solve safety incidents, the narrowband Internet of Things technology is introduced to carry out the research on intelligent management and control design of integrated energy operation site. A comprehensive energy operation site management and control index system is established, and sparse signals are used to represent index transmission signals. Narrowband Internet of Things technology is introduced to transmit site risk control instructions. The joint sparse model and the probability distribution function of safety accidents is used to realize the remote real-time management and control of the safety of the integrated energy operation site. The comparative experimental results show that the new management and control method in the practical application can realize the rapid early warning response to the safety accident problem, and solve it the first time, reduce or even avoid the negative impact of the safety accident on the site operation, and promote the improvement of the safety performance of the integrated energy operation site.
Semantic segmentation of remote sensing images based on attention mechanism and feature fusion

In this article, we design this algorithm to perform the segmentation task of remote sensing images by using attention module and feature fusion to deal with the challenges of features with different dimensions, small-size objects and uncertain boundary segmentation in remote sensing images. The encoder uses a PVTv2 model to increase the feature information acquisition capability of the model, and several convolutional paths of the feature aggregation module can acquire different size information of the image. The deep network uses attention mechanisms to obtain features that are valid for the segmentation task. In the decoding phase, the feature fusion module fuses the shallow network detail information with the deep network semantic information. The experimental comparison on the ISPRS Potsdam dataset shows that pixel accuracy of the model in this paper achieves 88.59%, IoU, mIoU, and FWIoU are higher than some classical semantic segmentation networks, which effectively increases the accuracy of remote sensing image segmentation.
Design and simulation verification of D flip-flop sequential logic circuit in metaverse

With the rapid development of society, the world has entered the digital world, which is an important part of the metaverse scene. The information processed in the digital world is discrete "0" and "1". The cornerstone of the digital world is the chip, and behind each chip is the bounce of "0" and "1". The function of the human brain gradually changed from carbon-based to silicon based. All the objects, relationships and rules of nature are finally embodied in the digital world in the arrangement and combination of binary codes "0" and "1". Flip-flop is a unit circuit that forms a sequence logic circuit. Taking D-flip-flop as an example, this paper analyzes the function characteristics of D-flip-flop and obtains the state transition truth table by simulating the changes of circuit "0" and "1" by integrated chip 74LS74 in Proteus. From the table to the Carnot diagram, the characteristic equation of D-flip-flop is obtained by simplifying the Carnot diagram. The key points of analysis of sequential logic circuit formed by D flip-flop are further discussed and verified by proteus simulation circuit. The circuit is further optimized so that the visual effect of the circuit can be optimized. Finally, through the data migration of the underlying structure of the meta-universe, the changing rules of the bit stream in the data world are obtained.