Reviewerly/exHarmony huggingface dataset:
THE ROLE OF NATURAL LANGUAGE PROCESSING

Natural Language Processing (NLP) is a rapidly evolving field in the intersection of computer science, artificial intelligence, and linguistics. This article provides an overview of NLP, tracing its historical development from early rule-based systems to contemporary deep learning models. Natural Language Processing is a subfield of computer science and artificial intelligence that deals with the interactions between computers and humans using natural language. It focuses on the ability of computers to understand, interpret, and generate human language. Keywords Natural Language Processing, Text Analysis , Text Mining , Speech Recognition.
Developing a Virtual Escape Room Game: Existing Challenges and How to Overcome Them

This paper presents the challenges faced during the conception and development of a virtual reality game, of the Escape Room type, for simulation on the Meta Quest 2 mobile device. Based on the experience obtained, some important insights are provided, which are necessary to overcome the challenges faced and to promote a greater immersion of the player in the virtual environment. Related works demonstrate the importance of evaluating and continuing the studies presented, seeking to identify and promote significant purposes for virtual games, and promoting virtual reality teaching and learning based on the creation of proposals dedicated to immersive devices in a 3D virtual environment.
A Proof of Concept on Enhancing Virtual Museum Experience Through Real-time Audio Communication

By introducing the possibility of communication within a virtual environment, it is possible to improve visitor interaction and increase immersion through the feeling of presence, a fundamental concept within Virtual Reality. This work therefore proposes an innovative solution to the problem of lack of interaction between visitors during a virtual tour using open source software resources. Making use of the A-Frame framework, together with Networked A-Frame, a proof of concept was implemented with the aim of showing that it is possible to improve the experience of a virtual visit to the museum, enabling visitors to communicate in a very similar way to what would happen in a real visit, in a physical space. A brief case study was carried out based on the creation of an alternative virtual tour, modifying the existing virtual tour of the Cais do Sertão Museum, in Pernambuco, with the proposed solution. This paper will explore the paths used to build the proof of concept, as well as the results obtained and possibilities for future work, in addition to presenting possible scenarios for applying the proposed solution seeking to improve immersive experiences in virtual tours of museums.
IMPLEMENTASI SISTEM RELY ON DALAM SINKRONISASI DATA PELANGGAN PADA PT. PGN TBK AREA SEMARANG

&lt;p&gt;This research focuses on the implementation of the Rely On system operated by PT PGN Tbk, which is a state owned company providing services to the general public in gas sales activities. This study aims to describe the implementation of the Rely On system in synchronizing customer data and solutions to problems that occurred in 2019-2020 related to customer data errors. This final project is written descriptively, with the research methods used are interviews, observations at PT PGN Tbk Area Semarang and literature study. This study uses the TAM approach to determine perceptions of ease and usability in implementing the Rely On PGN system. The difficulty of finding customer data to make payments is a problem faced by the company. Solutions owned by the company can provide innovative or sophisticated features in the Rely On system, implement periodic data control, and provide suggestions to the central office to link all data from sub-districts, RT, RW so that data searches are easier to do. The result of this research is that thecompany's image as a service provider is getting better.&lt;/p&gt;
Analisis Makna Kandoushi Dalam Komik Doraemon Volume1

This research discusses the types and meanings of kandoushi contained in the Doraemon comic volume 1, because it is motivated by the difficulty of understanding the meaning of kandoushi contained in a conversation so that it can cause misunderstanding in the interpretation of meaning. This research is a qualitative research with descriptive method. The data in this study are words or sentences containing kandoushi spoken by the characters in the Doraemon comic volume 1. The instrument in this research is the researcher himself. In this research, 34 kandoushi data were found. Of the 34 kandoushi data, the author found 4 types of kandoushi which are divided into 18 kandoushi kandou, 5 kandoushi outou, 10 kandoushi yobikake, and 1 kandoushi aisatsugo. Kandoushi kandou consists of waa, a', e', are, nani, maa, aa, and hahaha, kandoushi outou consists of sou, iyadayo, namely, kandoushi yobikake consists of oi, ya, you, kora and saa, kandoushi aisatsugo consists of tadaima. Of the four types of kandoushi, the type that appears the most is kandoushi kandou. This is because there are many unexpected events caused by Doraemon's tools from the future, Doraemon introduces and uses the tools in the magic bag to the characters there. So that it makes a lot of dialog that contains the meaning of amazement, surprise, wonder and happiness. Therefore, this is the reason why kandoushi kandou is found more than other types of kandoushi.
A survey on facial image deblurring

Abstract When a facial image is blurred, it significantly affects high-level vision tasks such as face recognition. The purpose of facial image deblurring is to recover a clear image from a blurry input image, which can improve the recognition accuracy, etc. However, general deblurring methods do not perform well on facial images. Therefore, some face deblurring methods have been proposed to improve performance by adding semantic or structural information as specific priors according to the characteristics of the facial images. In this paper, we survey and summarize recently published methods for facial image deblurring, most of which are based on deep learning. First, we provide a brief introduction to the modeling of image blurring. Next, we summarize face deblurring methods into two categories: model-based methods and deep learning-based methods. Furthermore, we summarize the datasets, loss functions, and performance evaluation metrics commonly used in the neural network training process. We show the performance of classical methods on these datasets and metrics and provide a brief discussion on the differences between model-based and learning-based methods. Finally, we discuss the current challenges and possible future research directions.
Boarding and Acceleration on FPGA of an Obstacle Detection Module over Stereo Image

This paper presents an accelerated algorithm realized on field programming gate array FPGA to mimic the human vision system. The FPGA is chosen as support owing to their real time propriety RTP. The proposed approach aims to detect any natural image and obtain a "cyclopean image" that provides information on the objects depth with a better details resolution. This strategy uses the common advantages of hybrid stereo imaging models in processing two images of the same scene captured from different viewing angles. Then, it merges the two views to produce a final image containing the depth information of different objects. The adopted algorithm is applied to obstacles detection in which execution time is experimented and shown in results below.
Low distortion reversible database watermarking based on hybrid intelligent algorithm

&lt;abstract&gt;&lt;p&gt;In many fields, such as medicine and the computer industry, databases are vital in the process of information sharing. However, databases face the risk of being stolen or misused, leading to security threats such as copyright disputes and privacy breaches. Reversible watermarking techniques ensure the ownership of shared relational databases, protect the rights of data owners and enable the recovery of original data. However, most of the methods modify the original data to a large extent and cannot achieve a good balance between protection against malicious attacks and data recovery. In this paper, we proposed a robust and reversible database watermarking technique using a hash function to group digital relational databases, setting the data distortion and watermarking capacity of the band weight function, adjusting the weight of the function to determine the watermarking capacity and the level of data distortion, using firefly algorithms (FA) and simulated annealing algorithms (SA) to improve the efficiency of the search for the location of the watermark embedded and, finally, using the differential expansion of the way to embed the watermark. The experimental results prove that the method maintains the data quality and has good robustness against malicious attacks.&lt;/p&gt;&lt;/abstract&gt;
Design and Implementation of “Fighting and Dream” E-Sports Data Management System

With the rapid development of modern information technology, an industry named “E-sports” was born. The significance of this project lies in providing convenience for E-sports management through the Spring Boot, Vue.js and Mybatis development system. In this system, players can query event data or training arrangements, complete their training tasks in a timely manner, or provide feedback to coaches. Players need to check the official competition arrangements through the system to participate in the competition. Coaches can query the competition data and schedule of players, arrange training arrangements for each player in their team, or provide feedback to the organizers. The organizer can not only arrange the competition and publish it in the system, but also make modifications to various details such as the competition.
Students’ Ability in Writing Procedure Text at Twelfth Grade Student of SMAN 8 Jambi

The purpose of this study was to find out the ability of students in grade 12 at SMAN 8 Jambi City in writing procedural texts. A qualitative descriptive method was utilized. The population comprised students XII IPS at SMAN 8 Jambi City of academic study 2022/2023 and the sample consisted of 36 students from class XII IPS 2. Researchers used a research instrument, an essay test with a predetermined theme, namely food. Into discover these findings, tabulation was used to collect data from students' grades to categorize indicators of students written. Following the discovery of the result data, the researcher classified the student's score using the CRA (Criterion-Referenced Assessment) scale. According to the findings of the research, indicators of students' writing abilities, namely goals (83.3325) and materials (90.2775), have excellent an average score. On the other hand, the step indicator has into the average good criterion (77.0825). However, the overall average of all indicators is excellent (83.5641). Furthermore, students' ability in writing procedure texts are scores 83.5555 in the highest category. It is indicated that the level of students' ability writing in procedure text is excellent score, and that demonstrated score of writing procedural texts is highest.
The Effectiveness of Cake Application Toward Students’ Vocabulary Mastery at Eleventh Grade Students of SMA N 8 Jambi City

The purpose of this study was to find out whether the use of the cake application was effective in increasing the vocabulary of class XI students at SMA N8 Jambi City. This study used a quantitative method with a population of 184 students in class XI, with a sample of 36 students in class XI IPA 1 and 37 students in XI IPA 2 who were selected by cluster sampling. In this study, data were collected using the pre-test and post-test to see the average score of the two classes using SPSS version 29. The results of this study indicate that (1) vocabulary mastery in using the cake application in the treatment class with an average of 80 .25; (2) Vocabulary mastery in the control class with an average of 70.92; (3) the vocabulary mastery of the treatment class students using the cake application was higher than the control class with a Sig. 0.001 &gt; 0.05. The use of the cake application is effective in increasing the vocabulary of class XI students at SMA N8 Jambi City.
Internal Auditor’s Responsibilities for Quality Control of Financial Reporting at PT Asabri (Persero): A Qualitative Analysis

This article focuses on the quality of financial reporting that needs to be considered because it is an important factor in decision making of a company or agency, including PT Asabri (Persero). Internal auditors control an important role in terms of improving accounting standards, so it will also be discussed about the function and role of internal auditors in minimizing data manipulation in financial reporting. This research uses the literature review method which refers to the process of identifying and evaluating several previous research articles to obtain deeper information about the responsibilities of internal auditors including responsibilities for quality control of financial reporting. The results show that internal auditors have an important role in controlling the quality of financial reporting from manipulation at PT Asabri (Persero).
Improving the System of Motivation of Young Scientists for Active Scientific Work: Based on the Materials of the Round Table Within the Framework of the II Baikal Law Forum

The issues of improving the system of motivation of young scientists for active scientific activity have not lost their relevance for many years. Generations of researchers and external conditions are changing, the digitalization of society is in full swing, and all these require additional researches on the content and functional motivation of younger generations. The article explores methods for measuring the motivation of young researchers to engage in science according to Russian and foreign publications. The results of the discussion of this topic at the round table «The system of motivation of young scientists for active scientific activity» held on September 25, 2021 as part of the II Baikal Law Forum, where young scientists discussed scientific problems and motivation systems of universities in the Irkutsk region, are presented. The directions for improving the system of organization of research work of young scientists at Baikal State University are substantiated. The suggested areas are designed to develop creative thinking, «soft skills», the ability to solve non-standard problems, build competent management systems, shape a person, asserting the principles of morality and morality, responsibility for oneself, loved ones, for the quality of one’s work, and the future. In our opinion, many of these skills and abilities are successfully formed precisely when conducting a scientific research in the learning process and in independent scientific activity. It has been proven in practice that the experience of participation in a research work gives competitive advantages in building a career not only in the academic field, but also in other market sectors.
Automated Object Counting System in Digital Images

In inventories, the context of object counting and speed of response becomes essential. The process is more straightforward when there are only a few items, but its complexity lies when there are many close or overlapping items. In addition, the pressure to meet tight inventory deadlines adds another challenge. This work aimed to develop a program that automates the accurate counting of similar objects in digital images, regardless of their quantity or arrangement. For this purpose, an algorithm has been implemented in Python. The main results show efficiency in analyzing images with similar objects, a significant step towards separating and accurately counting adjacent objects in various scientific fields. This solution promises to simplify and speed up the counting process in digital images, with potential beneficial applications in multiple scientific disciplines.
Fraud Detection Based on Graph Neural Network

With the rapid development of digital and intelligent credit industry, credit fraud detection has become an important task to ensure financial digital intelligence. The traditional credit fraud detection model relies on artificial feature engineering and is built based on supervised learning algorithm, and its performance is greatly affected by data quality, sample distribution and other factors, and it is prone to prediction errors in the face of emerging fraud techniques. With the development of digitalization and fraud methods, these methods are often no longer applicable. There are rich information associations among users such as the users’ emergency contacts, home address, and social relationships between themselves, which make a large social network graph formed between users. In this regard, based on the Dgraph-Fin dataset, this paper uses the relationship network formed among users to better learn the weights between different edges through neighbor sampling and attention mechanism. Experimental results show that the accuracy and effectiveness are improved compared with the existing baseline.
An Investigative Survey on Technological Risks in Software Projects

A project risk is an uncertain event or condition that, if achieved, affects at least one of the project’s objectives. Technological risks have different characteristics from ordinary risks. These risks are typically more uncertain and subjective. Unfortunately, the literature is scarce regarding the presentation of technological risks. To fill this gap, we conducted a Survey with specialists in the field to assess the main risks and their impacts on software projects. As a result, three risks were cited by more than 70% of experts:“Failed to perform asynchronous tasks”, “Integration with plugins failed”, and “Loss of connection in HTTP request”. Our study presents an emerging study, as future work a case study is planned to collect more information from the industry.
Implementation of Wireless User Authentication using WLC-Forti Framework

Internet access at this time is a daily necessity that cannot be denied. It is certain that most institutions and business entities require internet access in carrying out their activities, including educational institutions. With the development of mobile computer technology in which more users use mobile devices to access the internet, wireless-based network infrastructure is a demand that cannot be postponed any longer. By using a wireless connection to connect to the network, authentication becomes something that must be considered, the use of access to the network by unwanted parties can harm other parties. Changing passwords regularly is important to avoid misuse of access to the network by other parties. This paper presents a problem where when an educational institution implements the Bring Your Own Device (BYOD) program, students and teachers cannot change passwords using the personal device used, this is because the personal device is not registered with the domain controller at the institution. The solution proposed in this article is to move the NPS RADIUS server function on the local site to LDAP in the cloud using a combination of WLC which handles Wi-Fi clients and Fortinet which handles authentication to the cloud. The implementation results show that the WLC-Forti framework functions well.
Pengolahan Sampah Organik Menjadi Eco-Enzym Untuk Meningkatkan Ekonomi Kreatif Kelompok PKK Petukangan Jakarta Selatan

Turning waste into gold, something valuable for survival is determined by understanding (mindset), appreciation (internalization), and way of life (way of life) as intelligent and virtuous human beings interconnected with the environment in which we live need clean air without any waste. Environmental problems caused by piles of garbage and sources of disease that disturb the view, this can be handled properly slowly but surely, and sustainably, Through community service with hands-on practical assistance in processing organic waste into Eco-Enzyme for group partners PKK Rw 06 Petukangan Selatan, South Jakarta. The solution was made using the method of processing fruit and vegetable waste mixed with water and palm sugar using the ratio of organic waste: palm sugar: water = 3: 1: 10. The mixture was put in a plastic bottle or barrel, and fermented anaerobically for 3 (three) month. Eco-Enzyme is a dangerous synthetic chemical at home, by making Eco-Enzyme we can reduce the production of synthetic chemical waste from manufactured household waste. The results of the fermented Eco-Enzyme liquid can be used for various applications such as cleaning fluids for household furniture, detergents, leather cleaners, for water purification and deodorizing, for food preservation, as insecticides and pesticides, agriculture, (watering plants and improve the quality of fruit in horticulture), animal husbandry (eliminates fishy odors in the aquarium while making fish healthy), cleaning the floor of the house, for health (reaction by soaking feet in warm water mixed with Eco Enzyme, purifies the air in the room, cleanses the body, mouthwash, natural hand sanitizer.With Eco-Enzyme we have participated in reducing the burden on the earth while adopting a healthy lifestyle.
Prediction of NOx Emissions based on Ensemble Stochastic Configuration Network for Municipal Solid Waste Incineration Process

To accurately predict the nitrogen oxides (NOx) emissions concentration during the municipal solid waste incineration process, a prediction method based on the Bagging ensemble and stochastic configuration network (SCN) is proposed, and the relevant variables of the municipal solid waste incineration process are used to predict NOx concentration in this paper. Firstly, the Bootstrap sampling method is used to generate several different training subsets, and multiple SCN base models are trained under different subsets. The average value of the output results of every base model is taken as the final output. Finally, the actual historical data of a solid waste treatment plant in Beijing are used to verify the model and compared with the single SCN, random vector function link network (RVFLN), Bagging-RVFLN. The experimental results show that the proposed method has high accuracy and can accurately predict the NOx emissions concentration in MSW incineration process.
CRefNet: Learning Consistent Reflectance Estimation With a Decoder-Sharing Transformer

We present CRefNet, a hybrid transformer-convolutional deep neural network for consistent reflectance estimation in intrinsic image decomposition. Estimating consistent reflectance is particularly challenging when the same material appears differently due to changes in illumination. Our method achieves enhanced global reflectance consistency via a novel transformer module that converts image features to reflectance features. At the same time, this module also exploits long-range data interactions. We introduce reflectance reconstruction as a novel auxiliary task that shares a common decoder with the reflectance estimation task, and which substantially improves the quality of reconstructed reflectance maps. Finally, we improve local reflectance consistency via a new rectified gradient filter that effectively suppresses small variations in predictions without any overhead at inference time. Our experiments show that our contributions enable CRefNet to predict highly consistent reflectance maps and to outperform the state of the art by 10% WHDR.