Reviewerly/exHarmony huggingface dataset:
Obtaining an Action Model for Autonomous Mobile Robots Using Monocular Camera Images Based on Deep Reinforcement Learning

This paper introduces deep reinforcement learning to obtain action models for autonomous mobile robots in the simulation environment. The proposed robot system uses monocular camera images mounted on the mobile robot instead of 2D-LiDAR. Unity to create simulation environments and agents was adopted in this study. The training in Unity provides action models that the agents can reach the destinations in the environments using monocular camera images input. In addition, the trained models acquired in the simulation environment were adopted to a ROS-based navigation system in Unity.
The learning medium design of language intelligence for elementary student based on used oil bottle upcycling

Language is an essential factor that distinguishes humans from animals. With human language, humans are able to communicate their thoughts and feelings both orally and in writing. The development of communicating with this language occurs both in the home environment, school, and the wider community. When these environments do not pay enough attention to developing language skills or what Gardner calls Language Intelligence, then this intelligence does not develop optimally. Based on preliminary studies in elementary school, many students whose language intelligence is not developing optimally The lack of development of Language Intelligence is partly due to the lack of media that can develop it. Departing from this, the research using the Stanford University Design Thinking research method aims to produce learning media to develop language intelligence using used oil bottles designed with the principle of upcycling.
Detection of Inclination and Declination Angles from Total Magnetic Anomaly Maps on Archaeological Sites

We consider determining the inclination and declination angleDeclination angles from the total magnetic anomaly mapMagnetic anomaly maps on archaeological sitesArchaeological sites. It is necessary to know the magnetic inclination and declination angleDeclination angles of the study area for the purpose of accurately locating the buried structures on the total magnetic anomaly mapMagnetic anomaly maps. To this end, we use the Dannemiller and LiDannemiller and Li method.We calculate inclination and declination angleDeclination angles for both synthetic model and archaeological total magnetic field data.
A Novel Architecture for Community-Sustained Cultural Mapping System

This paper presents a novel system architecture for implementing a cultural mapping system for the community of Buayan, a remote rural village in Sabah, East Malaysia.By considering various shortcomings of the local environment and the need for a community-sustained system, the cultural mapping system was designed to leverage a new set of architecture to achieve minimal implementation cost and higher reliability to survive the rural environment.The new architecture evolves from previous Telecentres' design and implementation experience that was targeted at larger scale ICT systems.This paper also highlights the critical influence of power provision on the digital system implementation in rural areas, which always incurs a significant amount of the overall implementation cost.An efficient ICT system architecture will significantly reduce the cost of its associated power provision.The implementation of the cultural mapping system using the new ICT architecture at Buayan is also being described.
Mutex Propagation in Multi-Agent Path Finding for Large Agents

Mutex propagation and its concomitant symmetry-breaking techniques have proven useful in Multi-Agent Path Finding (MAPF) with point agents. In this paper, we show that they can be easily generalized to richer MAPF problems. In particular, we demonstrate their application to MAPF with ``Large'' Agents (LA-MAPF). Here, agents can occupy multiple points at the same time according to their fixed shapes and sizes. While existing rule-based symmetry-breaking techniques are difficult to generalize from point agents to large agents, mutex-based symmetry-breaking techniques can be generalized easily. In a Conflict-Based Search (CBS) framework for LA-MAPF, we also develop a mutex-based conflict-selection strategy to further enhance the efficiency of the search. Through experiments on various maps, we show that our techniques significantly improve MC-CBS, a state-of-the-art optimal LA-MAPF algorithm, in terms of both success rate and runtime.
Lightning Impulse Overvoltage Insulation Coordination Method Based on the Principle of Discharge Probability Comparison

Aiming at the problems of large test workload of existing lightning impulse insulation coordinate methods and unspecific data processing methods. From the perspective of discharge probability, the lightning impulse insulation coordinate method based on the principle of probability comparison and the supporting test and data processing methods are proposed. Through the analysis of the statistical law of repeated and independent lightning impulse discharge data, the data processing method based on the Weibull probability distribution model is used to process the repeated discharge data to obtain the discharge voltage value of the required discharge probability. According to the principle that the lightning impulse discharge voltage of the protection device with a discharge probability of 0.1% should be greater than the lightning impulse discharge voltage of the protection device with a discharge probability of 99.9%, the discharge voltage value of the protection device is determined. Using the lightning impulse insulation coordinate method based on the principle of discharge probability comparison, conducted lightning impulse insulation coordination between the parallel gap for 10kV distribution line and the support insulator of line PS15/500, and obtain the best gap distance of parallel gap. Through experimental verification, it is believed that the lightning impulse insulation coordinate method based on the principle of probability comparison is easy to operate, accurate and reliable.
TOWARD DEVELOPING AN INTELLIGENT PERSONAL ASSISTANT FOR TUNISIAN ARABIC

Intelligent systems powered by Artificial Intelligence techniques have been massively proposed to help humans in various tasks. The intelligent personal assistant (IPA) is one of these smart systems. In this paper, we present an attempt to create an IPA, that interacts with users via Tunisian Arabic (TA), (the colloquial form used in Tunisia). We propose and explore a simple-to-implement method for building the principal components of a TA IPA. We apply Deep learning techniques: CNN [1], RNN encoder-decoder [2] and end-to-end approaches for creating IPA speech components (Speech Recognition and Speech Synthesis). In addition, we explore the availability and free dialog platform for understanding and generating the suitable response in TA for a request. For this proposal, we create and use TA transcripts for generating the corresponding models. Evaluation results are acceptable for the first attempt.
Mixed reality simulation of organ grasping/dissection motion for laparoscopic surgery navigation

Laparoscopic surgery is very difficult for surgeons and requires time and experience to master the technique, so an enhanced surgical navigation system is needed to assist the surgeon. In this research, we will develop a simulation system that displays the deformation of organs due to contact with surgical instruments calculated by the finite element method. A motion capture system is used to estimate the position of the tip of the surgical instrument and the contact target, and the images linked to the real space are drawn on the CG space to present the surgeon. First, the deformation caused by multiple surgical instruments was confirmed. After that, we simulated the deformation of organs by grasping and dissecting a model with separated label pairs and virtual springs, and confirmed the state of deformation.
Perceiving Affordances for Passing Through Apertures: A Discussion of Factors Influencing Replication Across Extended Reality

A growing body of work suggests that affordances- perceived capabilities for action- are a useful measure for testing theoretical and applied questions in both the real world and extended realities (XR). In this review, we discuss replications across studies suggesting that affordances for passability are perceived similarly in XR environments when compared to real world judgments. Further, representations of the body in these environments can recalibrate passability affordance judgments as well.
Dilemmas and Countermeasures in the Development of Digital Education in Germany Basic Education

Taking digital education in Germany basic education as the research object.The paper adopts literature research method to accumulate and dissect the issues existing in German education phenomenon, so as to provide corresponding references.According to the research, all federal governments should avoid "bureaucracy" practices, keep abreast of people's needs in time, optimize the allocation of educational resources and protect the rights and interests of school development in order to solve the dilemma of digital education development.Simultaneously, in order to achieve the healthy development of basic education, cultivate children's digital awareness and digital competence, and enhance their capability to integrate into the digital society,all regions need to provide specialized digital teaching training for school teachers, enhance their digital literacy, and build a solid foundation for the development of digital education under the basic education stage.
An investigation of the main characteristics of science teachers in elementary schools who have digital pedagogical skills

The development of information and communication technology in learning has implications for 21st century teachers who are smart and skilled according to the needs of students in primary schools.This literature study aims to explain digital pedagogy as characteristics of 21st century teachers for teaching and learning in elementary schools.Articles reviewed in the form of journals were obtained from the Sciencedirect, Sage, Scopus, and Proquest databases.This literature review study classifies the characteristics of 21st century teachers in primary schools based on the domain of planning, teaching material development, and teaching methods that are in accordance with the learning needs of the 21st century in primary schools.The 21st century teacher for learning in primary school is characterized by a role as facilitator for students to learn actively through managing technology as a medium and learning resource in the digital era.Recommendations for further researchers may explore the characteristics of 21st century primary school teachers in the assessment domain.In addition, in practical terms, the recommendations for this study are on developing teacher competence in elementary schools as a transformation towards digital pedagogy.
Analyzing the impact of social factors on homelessness with neutrosophic cognitive maps

Homeless people are marginalized because they lack the resources necessary to participate in mainstream culture. It is not unusual to come across homeless persons in the streets of Quito, Ecuador, particularly in the downtown area. Society often refers to them as the unaccepted, the outcasts, the marginalized, and the homeless. Being a victim of aggressiveness is not an inevitable part of life on the streets. Still, unfortunately, we are seeing more and more instances of it being shown nearly every day. Many groups work to alleviate this problem by providing aid or enhancing the quality of life for these individuals. The goal of this study is to aid in strengthening the work of such institutions by providing a rationale for why so many crimes are decided to commit even against the homeless and how these institutions can better equip themselves to deal with the issue, as well as by providing tasks to assist direct the Homeless toward the Good Having to live Plan. A cognitive map of neutrosophic causes and effects was constructed.
Developing a classifier model to analyze and predict cancer mellitus

The main objective of this paper is to be lowered to a minimum of delay and not to provide an early forecast of cancer of lung cancer in patients, but also and not to reduce the need for biopsy. In addition, it gives and comparisons between different algorithms for classification. Existing models use a CT scan to predict lung cancer but are also well equipped with sufficient data to predict precisely. The model was developed based on a support vector machine, which provides 92 % accuracy. Because it is required solutions, for to be increased right speed for prognosis of cancer of lung cancer. The proposed solution uses a set of data for classification and has approximately 300 observations. The model is developed for different algorithms for classification, such as arbitrary attendant’s vectors, K-nearest-neighbors, and Naive-Bayes are compared to a - great accuracy. It provides an early prognosis of cancer of lung cancer with high accuracy. Therefore, the proposed decision model based on Naïve Bayes achieved the highest degree of accuracy of 95.23%.
Sequential Models for Sentiment Analysis: A Comparative Study

Sentiment analysis has been a focus of study in Natural Language Processing (NLP) tasks in recent years. In this paper, we propose the task of analysing sentiments using five sequential models and we compare their performance on a Twitter dataset. We used the bag of words, as well as the tf-idf, and the Word2Vec embeddings, as input features to the models. The precision, recall, f1 and accuracy scores of the proposed models were used to evaluate the models’ performance. The Bi-LSTM model with Word2Vec embedding performs the best against the dataset, with an accuracy of 84%.
Approximate Subgraph Mining Algorithm for Social Networks

The application of graph mining is becoming more and more widespread, where approximate subgraph mining is one of the core techniques. However, the existing approximate subgraph mining algorithms have low computational efficiency and suffer from uneven subgraph identification. To address these problems, we propose an approximate mining algorithm ExMCMC-Motifs based on a Markov chain Monte Carlo sampling strategy with a common substructure. First, the vertices in the original network are sampled. Then the subgraphs involved in this vertex are identified using the MCMC random wandering sampling strategy,Finally, the neighbors of this vertex are sampled several times to achieve sampling equalization. The experimental results verify that the algorithm is computationally efficient and works well.
Algorithm for starting a multinode cluster Kubernetes and working with it in the CentOS Linux operating system

Описаны алгоритм запуска двухузлового кластера Kubernetes с использованием среды запуска контейнеров Docker в операционной системе Linux CentOS и алгоритм развертки простого веб-приложения Node.js в этом кластере. The article describes the algorithm for running a two-node Kubernetes cluster using the Docker container runtime on Linux CentOS operating system and the algorithm for deploying a simple Node.js web application in this cluster.
Evaluation of Online Field Practice Information Systems Refer to Agile Method

The company participates in fulfilling the relevance of education and industry through field practice programs. To avoid the risk of spreading the covid-19 virus and ensure the program continues, the implementation of field practice is changed from face-to-face offline activities to online activities. The purpose of the research is to develop an online field practice information system using the agile scrum method and evaluate the effect of the information system (online mentoring activities (X1) and features contained in the application (X2)) on the level of availability of field practice activities (Y) in the company. The information system development method uses the agile scrum method was chosen because it is able to produce quality software and can adapt to changes continuously. The information system is intended to better organize field practice activities for participants and companies so that all parties can benefit from field practice activities. A survey was carried out by distributing questionnaires to respondents with a respondent profile of 90% of students, 8% of employees who became supervisors for field practices, and 2% of employees who became admins of field practices. This survey is distributed via a google form with 100 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">%</sup> of respondents filling out and returning the survey results. The questionnaire distributed contained questions about online mentoring activities (X1) and the features in the application (X2) to measure the level of availability of the implementation of field practice through the information system (Y). Based on the evaluation results, it was found that online mentoring activities (X1) and features in the application (X2) have an influence of 63.4% on the availability of field practice activities (Y) in the company.
Research on the Design of Dual-screen Display Video Player based on Android

Setting the corresponding projector program in accordance with the dual screen display function of Android operating system, therefore, it is only necessary to install another vehicle display to show video to passengers. Generally, Android central controller is used for projector program. The large screen is the operation interface (main screen) of projector, and video playback directly automatic output on vehicle display (secondary screen). The use experience is extremely good. In addition, since it is easy to connect with Android device, the music and video images of projector can also be downloaded via the Internet, making the application more convenient.
Azimuth Angle Impact on Specific Energy Output of Rooftops PV System in Surabaya, Indonesia

The specific energy output of a photovoltaic (PV) system is calculated by comparing the actual electricity output to the input solar energy under real operating environment. One of the key performances of a solar electricity system is the specific energy output. The specific energy output is mainly affected by the amount of solar energy received by the solar panels. On the other hand, the amount of solar energy in the form of irradiation that falls on the solar panels is affected by the azimuth angle. This paper simulates the impact of azimuth angle on specific energy output for a fixed-mount PV System in Surabaya, Indonesia. Simulation work is done using PVGIS (Photovoltaic Geographical Information System) simulation tools. The slope of the module is assumed to be about 30°, following the typical houses roof tilt in Surabaya, Indonesia. The results show that the maximum specific energy output in Surabaya is produced by module orientation of the North, i.e., about 1,462 kWh/kWp. The South’s orientation solar module has the lowest value of specific energy output of around 1,233 kWh/kWp per month.
Hyperspectral Image Denoising Based on Dual Low-Rank Structure Preservation

The research on hyperspectral images (HSIs) has attracted the attention of many scholars in recent years due to its wide applications, e.g., soil and mineral properties analysis. A main challenge in hyperspectral imaging is the various noise disturbances encountered during the image analysis process. Therefore, denoising of HSIs is an initial but essential step to facilitate further analytics steps. In the literature, many denoising methods based on low-rank representations have been applied in the study of HSIs. This paper proposes a structure-preserving method based on dual low-rank, and we demonstrate that our proposed method achieves better denoising results (qualitatively and quantitatively) on both simulated and real datasets, compared to related work.
A randomized analog of Chaum - van Antwerpen undeniable signature

We suggest an elliptic curve modification of the undeniable signature introduced by D. Chaum and H. van-Antwerpen. The signature generation algorithm is supplemented with a preliminary stage of randomization. For signature verification and disavowal protocols, two options are offered. Theorems showing that these protocols meet their purpose have been proven. A method for converting an undeniable signature into a regular digital signature is described, illustrated by the Schnorr electronic signature scheme as an example.
Website Cluster Technology Based on Cloud Technology and B/S Architecture

At present, there are some defects in the construction of some university websites. With the development of network and the emergence of cloud technology, these problems can be effectively solved. By analyzing some problems existing in the current campus website construction of Anhui Sanlian University, this paper establishes a website cluster mode by using cloud technology and B/S architecture, and forms a website cluster system integrating several sub stations and master stations, so as to realize the centralized and standardized management and information resource sharing of the website, and improve the security and stability of the website. The practical application shows that this scheme can effectively solve the problems faced by some colleges and universities' digital campus, and has a wide application prospect.
Modeling of Web-Based Monitoring Dashboard for Performance Evaluation of Power Generator Machines (Case Study: Indonesia State Electricity Corporation)

To obtain performance results from the power generator machine, Indonesia State Electricity Corporation East and North Kalimantan Region Unit Sub-Sector of Power Generator analyzes and manages performance data of the power generator machine. Currently, Microsoft Excel an example of a file-based data management system is still used for data management. Data management which is still a file-based system, makes the reporting of monitoring data not yet centralized so that it can cause errors due to data differences. This problem will make it difficult to analyze the data for the power generator in this company because of the lack of data integrity. This research will create a web-based dashboard monitoring application of power generator performance for data management to overcome this. It will also display the data processing results in graphical form to make it easier to analyze, monitor, and evaluate power generator performance. The development model used in this research is the System Development Life Cycle and the monitoring dashboard's design using star schema modeling. This application uses the MySQL database server, also the CodeIgniter (CI) and Bootstrap frameworks that use the PHP programming language. The User Acceptance Testing (UAT) evaluation shows that the application is feasible to use, with an eligibility percentage of 87.78%. Thus, the implementation of dashboard monitoring can help companies in managing the performance of generating machines.
Survey of Vietnamese Students' Mistakes When Using Quantities in Chinese

The article comes from the writer's actual teaching experience. Through experience, homeworks, and tests, the writer realizes that mistakes in beginners in the early stages (1-2 year) are usually influenced by the mother tongue while mistakes of a person in years 3-4 often arise due to confusion between one formula and another. In this article, we apply mistake analysis and "intermediate language" reasoning to make statistics and classify and analyze the causes of students' mistakes, hoping to help learners to overcome the difficult points in the expression of multiples increased by N times in Chinese. On the other hand, we can provide for the teaching and learning of Chinese by Vietnamese people as well as the teaching and learning of Vietnamese by the fact that the Chinese people have some useful materials.