Reviewerly/exHarmony huggingface dataset:
End-to-End Rubbing Restoration Using Generative Adversarial Networks

Rubbing restorations are significant for preserving world cultural history. In this paper, we propose the RubbingGAN model for restoring incomplete rubbing characters. Specifically, we collect characters from the Zhang Menglong Bei and build up the first rubbing restoration dataset. We design the first generative adversarial network for rubbing restoration. Based on the dataset we collect, we apply the RubbingGAN to learn the Zhang Menglong Bei font style and restore the characters. The results of experiments show that RubbingGAN can repair both slightly and severely incomplete rubbing characters fast and effectively.
Review on Panoramic Imaging and Its Applications in Scene Understanding

With the rapid development of high-speed communication and artificial intelligence technologies, human perception of real-world scenes is no longer limited to the use of small Field of View (FoV) and low-dimensional scene detection devices. Panoramic imaging emerges as the next generation of innovative intelligent instruments for environmental perception and measurement. However, while satisfying the need for large-FoV photographic imaging, panoramic imaging instruments are expected to have high resolution, no blind area, miniaturization, and multidimensional intelligent perception, and can be combined with artificial intelligence methods towards the next generation of intelligent instruments, enabling deeper understanding and more holistic perception of 360-degree real-world surrounding environments. Fortunately, recent advances in freeform surfaces, thin-plate optics, and metasurfaces provide innovative approaches to address human perception of the environment, offering promising ideas beyond conventional optical imaging. In this review, we begin with introducing the basic principles of panoramic imaging systems, and then describe the architectures, features, and functions of various panoramic imaging systems. Afterwards, we discuss in detail the broad application prospects and great design potential of freeform surfaces, thin-plate optics, and metasurfaces in panoramic imaging. We then provide a detailed analysis on how these techniques can help enhance the performance of panoramic imaging systems. We further offer a detailed analysis of applications of panoramic imaging in scene understanding for autonomous driving and robotics, spanning panoramic semantic image segmentation, panoramic depth estimation, panoramic visual localization, and so on. Finally, we cast a perspective on future potential and research directions for panoramic imaging instruments.
Unbiased Pairwise Approach toward Learning-to-Rank: An Empirical Study

With the bloom of information technology in recent decades, people are constantly being exposed to a huge amount of information. Learning-to-rank comes out as one of the solutions to ease out the mentioned obstacle by trying to rearrange objects according to their degrees of importance or relevance. This solution usually applies machine learning techniques to construct ranking models in information retrieval systems. The aim of this study is to explore and experiment the existing learning-to-rank approaches with real-life logs data. The study also includes estimating and minimizing the bias noise found in the click-through data of the recorded logs. Evaluation results have presented the advantage and disadvantage of the experimented approaches in realistic settings.
Optimal Bounds for Weak Consistent Digital Rays in 2D

Representation of Euclidean objects in a digital space has been a focus of research for over 30 years. Digital line segments are particularly important as other digital objects depend on their definition (e.g., digital convex objects or digital star-shaped objects). It may be desirable for the digital line segment systems to satisfy some nice properties that their Euclidean counterparts also satisfy. The system is a consistent digital line segment system (CDS) if it satisfies five properties, most notably the subsegment property (the intersection of any two digital line segments should be connected) and the prolongation property (any digital line segment should be able to be extended into a digital line). It is known that any CDS must have $\Omega(\log n)$ Hausdorff distance to their Euclidean counterparts, where $n$ is the number of grid points on a segment. In fact this lower bound even applies to consistent digital rays (CDR) where for a fixed $p \in \mathbb{Z}^2$, we consider the digital segments from $p$ to $q$ for each $q \in \mathbb{Z}^2$. In this paper, we consider families of weak consistent digital rays (WCDR) where we maintain four of the CDR properties but exclude the prolongation property. In this paper, we give a WCDR construction that has optimal Hausdorff distance to the exact constant. That is, we give a construction whose Hausdorff distance is 1.5 under the $L_\infty$ metric, and we show that for every $\epsilon > 0$, it is not possible to have a WCDR with Hausdorff distance at most $1.5 - \epsilon$.
MHFFNet: Multi-Scale Hierarchical Feature Fusion Network for ImageCopy-Move Forgery Detection 

Abstract The authors have requested that this preprint be removed from Research Square.
PREDIKSI HARGA JUAL KAKAO DENGAN METODE LONG SHORT-TERM MEMORY MENGGUNAKAN METODE OPTIMASI ROOT MEAN SQUARE PROPAGATION DAN ADAPTIVE MOMENT ESTIMATION DILENGKAPI GUI RSHINY

Cocoa is a leading commodity from Indonesia. Cocoa prices from time to time fluctuate. Accurate Cocoa price predictions are very important to ensure future prices and help decision making. Cocoa price data is non-stationary and nonlinear, so to make accurate predictions, an Artificial Neural Network (ANN) model is applied. One type of ANN is Long Short-Term Memory (LSTM). LSTM has superior performance for time series based prediction. Optimization methods used are Root Mean Square Propagation, and Adaptive Moment Estimation. The best model was selected based on the Means Square Error (MSE) and Mean Absolute Percentage Error (MAPE) values. This study uses the R-Shiny GUI to facilitate the use of LSTM for users who are less proficient in programming languages. Based on the results, the Long Short-Term Memory model with the Adaptive Moment Estimation optimization method is more optimal than the Long Short-Term Memory with Root Mean Square Propagation seen from the smaller MSE and MAPE values. This study used 27 combinations of hyperparameters. Prediction results with LSTM using the R-Shiny GUI have different levels of accuracy in each experiment. The best accuracy value is experiment with MSE value of 491505.1 and MAPE value of 1.739155% . Cocoa Price Forecasting for the period November to December 2021 tends to decline.Keywords : Cocoa Prices, Forecasting, Long Short-Term Memory, Root Mean Square Propagation, Adaptive Moment Estimation, GUI R-Shiny
Implementation Counting and Yolo Object Detection Methods for Identification Degree of Road Saturation

Identification of road conditions such as congestion at this time still requires manual efforts in getting results. The congestion parameters certainly need to be monitored, especially in crowded areas and big city business centers, such as on Jalan Jendral Sudirman, Central Jakarta. Many parameters to identify the level of road congestion, one of them is by observing the value of the degree of road saturation. The purpose of this study is to propose a system that can calculate the value of the degree of saturation quickly and accurately using a camera. The method that is being proposed is to combine the Computer Vision with YOLO Object Detector techniques based on Deep Learning and the Object Counting method to get the value of traffic flow in the observed area. The results obtained by this system are quite good, this is supported by the error value obtained by the system around 3-4%.
Design of College English Online Teaching Platform Based on Dual-Server PEKS Framework

To improve the English learning efficiency of college students and improve the performance of network teaching, the research on the college English network teaching platform is carried out under the dual-server PEKS framework. After systematic testing and debugging, deployment and implementation, course migration, personnel training, and other links, the system has successfully completed deployment and implementation, which strongly support the research on the college English network teaching platform. The proposed dual-server PEKS search framework makes the teaching platform more secure by designing a linear homomorphic smooth projection HASH function and solves the security loopholes of traditional PEKS. Relevant research groups have conducted questionnaire surveys and information feedback on some teachers and students and generally have a good evaluation of the online teaching platform, indicating that the system has better realized the predetermined functions and effectively supported the research on the college English online teaching platform.
Analysis of the Application of Cooperative Principle and Politeness Principle in the Movie The Lord of the Rings

The movie The Lord of the Rings took the world by storm upon its release, winning 351 international awards and 284 nominations, including 17 Academy Award nominations. It is adapted from the epic fantasy novel, written by Professor Tolkien, which has caused a sensation in UK and even across the globe since its publication in 1954. And Tolkien was then known as “the originator of fantasy literature” and “the father of fantasy literature”. As is thought by some critics, without The Lord of the Rings, a modern literary type of fantasy genre would not be produced. The characters in the successful works have different speaking styles whose conversations largely promote the development of plots. Thus, for the purpose of understanding its plots more precisely, it is necessary to find out the Conversational Implicatures, the real meaning conveyed by the speaker, and explore the real meaning expressed by the speakers. Here, the Cooperative Principle and the Politeness Principle in pragmatics will be helpful. Therefore, this paper analyses some selected conversations in The Lord and the Rings which violate the Cooperative Principle and the Politeness Principle in pragmatics. It aims to find out the generation of the Conversational Implicature or the effects of these conversations in characterization and plot arrangement. Meanwhile, it may also be enlightening for analyzing daily conversations in various occasions of real life.
Relating Information and Proof

In mathematics information is a number that measures uncertainty (entropy) based on a probabilistic distribution, often of an obscure origin. In real life language information is a datum, a statement, more precisely, a formula. But such a formula should be justified by a proof. I try to formalize this perception of information. The measure of informativeness of a proof is based on the set of proofs related to the formulas under consideration. This set of possible proofs (`a knowledge base') defines a probabilistic measure, and entropic weight is defined using this measure. The paper is mainly conceptual, it is not clear where and how this approach can be applied.
Pelatihan Songket Pita untuk Meningkatkan Kreativitas Santri di Islamic Boarding School

Students at the Al-Fatich Islamic Boarding School, Bahrul Ulum, Jombang Rice Pond Student. Experiencing many obstacles / obstacles in minimizing used clothes. The used clothes are increasing every year and the students who have returned (boyong) leave some of the clothes they don't wear. With the use of used clothes will help reduce and become useful items (upcycle). This effort leads to the goal of using used clothes to get an overview of the three upcycle techniques from the point of view of design, the process of designing, and creating, the use of used fabrics, and the overall results. The results of the santri skills assessment show that 60% of the training participants have good skills when the students learn to make ribbon embroidery patterns. As many as 40% of the training participants were in the category with fairly good skills which was influenced by the age of the students around 18-23 years.
LEARNING SPACES' COMBINATORICS OF EXTRACURRICULAR EDUCATION INSTITUTIONS

The article discusses approaches to the formation of modern educational spaces of extracurricular education institutions. On the basis of a number of classification features, variants of planning solutions for educational spaces of an individual, group and public nature are proposed. It is noted that the variety of planning solutions and the comfort of using the study cell is achieved through the use of different-scale learning spaces, the right ratio between the spaces for individual, group and public educational work. It is advisable to use equipment that is universal for different age categories of users, which expands the possibility of using the premises.&#x0D; Through the use of combinatorial techniques in design, the effects of a variety of planning solutions are achieved. The architectural design process is a continuous flow of combinatorial operations. In the process of finding the best solution, many options are considered, ideas and thoughts are combined with rational design techniques. Combining unique and repetitive elements allows for a variety of design solutions. The primary architectural solution of an object or space involves the use of simplified abstract elements - points, lines, spots, shapes - and their combinations to find an expressive architectural form.&#x0D; Study spaces are conventionally divided into sub-zones of individual, group and public work. Individual learning units are intended mainly for independent studying; it is possible to work under the guidance of a teacher or in the accompaniment of a special person (inclusive approach in education). Group learning units can be designed for use by groups of 2 up to 25 children with or without teacher guidance. Public educational units are designed for intergroup work or for such forms of learning as lectures. &#x0D; Planning options for solutions for individual, group and public learning zones are proposed in the article. Planning solutions are developed on the basis of the conditional division of zones according to the parameters of equipment availability, teacher support and isolation.
The effect of innovation on economic growth in the BRICS countries using Panel Data estimation

The aim of the study is to find out how innovation affects economic growth in the BRICS countries. The World Bank 2021 World Development Indicators database, covering the period from 2000 to 2019, was used to collect data. There are three ways to quantify innovation: research and development, patents, and trademarks. This study looked at how the GDP of the BRICS countries responds to the hit from research and development, patents, and trademarks. Stationarity tests are conducted using panel unit-roots. For the study, the authors used both multiple regression for each country and panel data regression estimates for the BRICS countries. The authors suggest several compelling factors for BRICS economies to examine the development of innovation, especially in research and development, patents, and trademarks, as a potential opportunity to accelerate economic growth. Furthermore, the authors found that the overall impact of research and development, patents, and trademarks on economic growth is significant and growing rapidly among the BRICS economies, demonstrating that innovation contributes significantly to economic growth. The results of this study show that research and development, patents, and trademarks are important drivers of innovation and, therefore, GDP growth in the BRICS region.
ECONOMIC FREEDOM AND EDUCATIONAL ATTAINMENT: EVIDENCE FROM NEW EU MEMBER STATES

Educational attainment is a critical factor for individuals and societies given its positive economic implications. Therefore, determinants of educational attainment are important for design and implementation of educational policies. In the article, the causal interaction between economic freedom and educational attainment is investigated in sample of the new European Union states over the 2000–2019 term by means of causality test. The consequences of panel level causality analysis reveal a bilateral causality between economic freedom and educational attainment in the sample. In other words, on the one hand econometric freedom has a significant influence on educational attainment, on the other hand educational attainment has a significant influence on economic freedom. Furthermore, country level causality analysis uncovered a bilateral causality between economic freedom and educational attainment in Lithuania, a unidirectional causality from economic freedom to educational attainment in Latvia, a unidirectional causality from educational attainment to economic growth in Bulgaria, Czechia, Hungary, and Slovenia.
Pirates Swarm Search Algorithm: A Meta-Heuristic Search Algorithm for optimization problems

Abstract In this study, we have suggested a meta-heuristic algorithm based on swarm intelligence for single-objective optimization problems. Our inspiration comes from historical and behavioral fashions of pirates at 1600s and 1700s which also is known as the golden age of piracy. They navigate in the oceans to find treasures and we search the problem space to find a better solution. Triangle trade is the search space and each pirate ship is a search agent. A bunch of well-known benchmark functions are used to run some qualitative, quantitative and statistically tests to see the outcome of the suggested algorithm. Obtained results shows that the algorithm is able to explore and exploit in search space as expected and also has the ability of improving the average fitness of population and improving the best so far solution. At the end; results of suggested algorithm comparing to other well-known ones such as Particle Swarm Optimization, Gravity Search Algorithm, Ranking Genetic Algorithm and Sparrow search algorithm shows that it is able to outperform these algorithms in most of the studied cases.
Keterkaitan Pembelajaran Bahasa Indonesia dengan Lingkungan

Learning Indonesian is very closely related to complete grammar and right. This requires student to be active and creative in learning. Student's activity in learning is very necessary to see language development student, even though in reality student's language acquisition does not start from learning Indonesian. Based on the questionnaire that the author distributed regarding "TheRelation of Indonesian Language Learning to the Environment” to Padang State University students, Medan State Polytechnic, Ministry of Health Health Polytechnic of the Republic of Indonesia Padang, Jambi University, and Andalas University. Of the total number of 39 respondents who took part in filling out the questionnaire. From filling out the questionnaire, it was dominated by women, namely 32 people with the percentage of 82.1% and men as many as 7 people with a total percentage of 17.9%. Results data from the percentage of questionnaires that have been distributedand filled out by respondents conducted through google form can be seen as follows. According to the author, students as respondents have knowledge that can be categorized as good awareness of the role of the environment in learning Indonesian even though the background is different majors. This can be a picture forthe teacher to teach environment-based language learning with a supportive environment and motivate students to make it easier to understand creative Indonesian language material, innovative and useful for life.
Neural Network Based Message Concealment Scheme

Abstract: Neural Cryptography is a new thread that integrates cryptography and neural networks for cryptanalysis and encryption applications. We show that Neural Networks can execute symmetric encryption in an adversarial context in this paper, and we build on the existing literature on the subject. Cryptography's purpose is to make it difficult to decipher a cypher and recreate the plain text without the associated key. Your messages are encrypted with excellent cryptography in such a way that brute force attacks against the algorithm or key are nearly impossible. Good cryptography is secure because it employs extremely long keys and encryption techniques that are resistant to various types of attack. The neural net application is the next step in the evolution of good cryptography. This paper discusses the use of neural networks in cryptography, including how to create neural networks that can be utilized in cryptography. Keywords: Cryptography key, encryption system, encryption algorithm, artificial neural network,chaos maps, logistic encryption.
A New Model to Predict the Global Solar Radiation GSR of Souk-Ahras City

The value of the global solar radiation GSR reaching the earth is very important because it is an essential variable for different applications. Unfortunately, solar radiation measurements are not available, most of the time, in developing countries because of the lack of measurement means. Moreover, these measurements are difficult to obtain under complicated weather conditions. Thus, solar radiation evaluation models are used. In this study, a new semi-empirical model for the estimation and prediction of the global solar radiation of Souk Ahras area in Algeria is proposed. The model developed is based on meteorological data such as daily hourly temperatures and average relative humidity required from several stations and databases, over a period of four years. The values of the regression coefficients a, b and c calculated are 0.0142, -10.6206 and 57.8367 respectively. To set the modal valid, we have applied it to 10 Algerian cities and we calculated the H/H0 ratio for each site from our model. They have been then compared with the values from the (CDER). We can conclude that our new model gives a good estimate of the average daily global solar radiation (H) for the studied regions (error between 2.49% and 8.93%) and can also be used elsewhere in areas with the same climatic conditions.
RELATED ARTS AS A MEANS OF FORMATION PEDAGOGICAL CULTURE FUTURE MUSIC TEACHER

The present article deals with the guestion of formation of pedagogical culture of music teachers and the role o f the interaction of different aspects of art in this process. Using the examples of life and activity o f well-known figures of national culture such as G. Skovoroda, T. Shevchenko, M. Lysenko, Lesya Ukrainka etc. The author shows the importance and influence of the introduction of students with the contiguous aspects o f art on the development and formation o f broad-minded and of great erudition teachers to come.
Implementation of Analytic Network Process Algorithm in E-Lowker System

Job vacancies information system at this time that there are still many companies that use the manual method to get the best employees and the number of job applicants who have not used the internet as a medium of information, but in this case the research aims to facilitate companies in getting the best employees, namely using the ANP Method in a web-based job information system and facilitate job applicants in utilizing internet media as a source of information that has been provided by the company. The ANP method is to find the weighted sum of the performance ratings for each alternative on all attributes, in this study the programming languages ​​used are PHP, MySQL database, CSS and Java Script. The criteria used in this study are education, experience, age and expertise. In this study shows that the Implementation of the ANP Method in the Web-Based Job Vacancy Information System is able to produce the best prospective workers for the company in accordance with the criteria