Reviewerly/exHarmony huggingface dataset:
Positioning an electric wheelchair in 2D grid map based on natural landmarks for navigation using Q-learning

Self-mobility electric wheelchairs are very useful for people with disabilities, so they can move without help in indoor environments. To create one selfmobility electric wheelchair, modern methods for control such as computer vision and machine learning can be applied. In particular, this electric wheelchair can move from any position in the indoor environment to the desired destination. For accuracy, natural landmarks are used and the navigation of the wheelchair is determined using a Q-learning reinforcement learning algorithm. In particular, this algorithm is applied to find the best path for the wheelchair to reach the destination. The article proposes a method to build one 2D grid map for wheelchair movement based on natural landmarks in the indoor environment. The new point of this method is that the position of the wheelchair can be accurately determined from a certain landmark instead of many landmarks applied in traditional methods. Some practical experiments were performed to illustrate the effectiveness of the proposed method in the indoor environment. This proposed method can be developed in more complex environments with natural landmarks.
Multilabel image analysis on Polyethylene Terephthalate bottle images using PETNet Convolution Architecture

Packaging is one of the important aspects of the product. Good packaging can increase the competitiveness of a product. Therefore, to maintain the quality of the packaging of a product, it is necessary to have a visual inspection. Furthermore, an automatic visual inspection can reduce the occurrence of human errors in the manual inspection process. This research will use the convolution network to detect and classify PET (Polyethylene Terephthalate) bottles. The Convolutional Neural Network (CNN) method is one approach that can be used to detect and classify PET bottle packaging. This research was conducted by comparing seven network architecture models, namely VGG-16, Inception V3, MobileNet V2, Xception, Inception ResNet V2, Depthwise Separable Convolution (DSC), and PETNet, which is the architectural model proposed in this study. The results of this study indicate that the PETNet model gives the best results compared to other models, with a test score of 96.04%, by detecting and classifying 461 of 480 images with an average test time of 0.0016 seconds.
An analysis and literature review of algorithms for frequent itemset mining

The data mining process should be led by domain knowledge. It includes different aspects including the selection of the data, interpretation, extraction, and transformation. In this paper different domains have been covered for the analysis of various data mining algorithms. The main emphasis on the algorithms which are mainly used for the extraction and discovering of interesting patterns and relationships. Various data mining algorithms, such as sequential pattern discovery using equivalence classes (SPADE), k-means, Apriori algorithm, FP-Growth and others, were discussed in this paper. The reviews and analysis of the advantages and disadvantages of various data mining approaches have been explored with advantages and limitations. In summary, this paper provides a comprehensive understanding of data mining approaches and their potential applications in various fields.
Relative Performance of Bilateral Multiattribute Negotiation Strategies in Open Markets

The long-running Automated Negotiating Agents Competition (ANAC) is comprised of various agent-agent and human-agent negotiation leagues. One such competition is the Automated Negotiation League (ANL) which involves repeated, bilateral negotiation over multiple issues. Researchers have investigated a tournament setting for this scenario involving a small, fixed number of agents. We are interested in automated agents participating in large and open marketplaces containing many instances of well-known agent types of varying sophistication. We experiment with four representative negotiation behaviors as agent types: Hardliner, Boulware, Conceder, and Tit-for-Tat. We simulate open markets with varying negotiation domain sizes, agent type distributions, and negotiation time available to evaluate the relative performances of different negotiation strategies. We analyze and report relative performances of the strategies on relevant performance metrics. We also extend this analysis using a head-to-head matrix.
Characterizing and mitigating coherent errors in a trapped ion quantum processor using hidden inverses

Quantum computing testbeds exhibit high-fidelity quantum control over small collections of qubits, enabling performance of precise, repeatable operations followed by measurements. Currently, these noisy intermediate-scale devices can support a sufficient number of sequential operations prior to decoherence such that near term algorithms can be performed with proximate accuracy (like chemical accuracy for quantum chemistry). While the results of these algorithms are imperfect, these imperfections can help bootstrap quantum computer testbed development. Demonstrations of these algorithms over the past few years, coupled with the idea that imperfect algorithm performance can be caused by several dominant noise sources in the quantum processor, which can be measured and calibrated during algorithm execution or in post-processing, has led to the use of noise mitigation to improve computational results. Conversely, benchmark algorithms coupled with noise mitigation can help diagnose the nature of noise, whether systematic or purely random. Here, we outline the use of coherent noise mitigation techniques as a characterization tool in trapped-ion testbeds. We perform model-fitting of the noisy data to determine the noise source based on realistic noise models and demonstrate that systematic noise amplification coupled with error mitigation schemes provides useful data for noise model deduction. Further, in order to connect lower level noise model details with application specific performance of near term algorithms, we experimentally construct the loss landscape of a variational algorithm under various injected noise sources coupled with error mitigation techniques. This type of connection enables application-aware hardware codesign, in which the most important noise sources in specific applications, like quantum chemistry, become foci of improvement in subsequent hardware generations.
Studies on Chinese Language and Linguistics in Italy

The history of Chinese studies in Italy, as is well known, is rooted in linguistic studies, a foundational domain of Italian sinology since the time of the early missionary works on Sinitic languages. Centuries after the contributions of the pioneers of Chinese linguistics, scientific studies on Sinitic languages in Italian academic institutions have experienced an unprecedented rise. In addition to research orientations focused on the most central themes of the language sciences, we have witnessed a widespread diffusion of the theoretical assumptions and methods of investigation proper to linguistics (theoretical, acquisitional, typological, etc.) in related disciplines, such as language teaching, translation studies, or critical-literary analysis. For these reasons, the contributions in this book range from theoretical to applied Chinese linguistics, presenting original research, methodological aspects, and results obtained in applied research, as well as the presentation of the state of the art related to specific topics and fields.
КІБЕРНЕТИЧНІ ВИМОГИ ДО ОСВІТНЬОГО ПРОЦЕСУ У ВИЩИХ НАВЧАЛЬНИХ ЗАКЛАДАХ

The article deals with the problems of ensuring high quality training of qualified specialists in the distance learning, where there have been objective reasons (covid, war) in Ukraine. The quality of education depends on the high-quality educational preparation for training sessions of scientific and pedagogical staff, including the management of the educational process, that is, taking into account cybernetic requirements for it. Taking into account the main components of the management process (planning, organization of the planned implementation, motivation, control, correction and evaluation), the author of the article deeply analyzes the possibilities of each component in order to encourage students to systematically attend training sessions, prepare for them and demonstrate the high educational achievements of students during control evaluation. To do this, we need to prepare high-quality educational and methodological materials in electronic form (texts of lectures with test tasks after each lecture, a plan for conducting practical (seminar) classes, methodical instructions for the independent work of students, preparation for control sections, coursework, as well as for passing tests (exams), etc.). There is a need for strengthening the motivation of students to high-quality learning, being outside the classrooms, a large role in this is assigned, on the one hand, to the strict observance of cybernetic requirements for the educational process, and on the other hand, by well-thought-out criteria for assessing the state of knowledge learned by students. In assessing the educational achievements of students, we can use the experience of American higher education institutions, adapting to our conditions. In the conditions of the distance learning, it is important to encourage students to attend training sessions, to intensify their educational and cognitive activities. These problems are investigated in our scientific article.
Hierarchical Sovereignty Management and Access Control based on Self-Sovereign Identity

Self-sovereign identity is a type of decentralized identity technology and has been proposed to solvevarious problems of the existing public key infrastructure based centralized identity authenticationservice. In addition, the demand for a secure decentralized access control management (ACM)technique has increased according to the demand for such next-generation identity identificationservice. Accordingly, although various ACM techniques that can be applied to decentralized serviceshave been proposed, most fall into the introductory stage of research. In this paper, based on theSOVRIN-based restructured verifiable credential concept proposed in our previous study, we providea hierarchical sovereignty and ACM technique that does not use a smart contract.
Innovative Learning Media Based on Educational Game in Improving Calistung

Innovative learning media can be obtained from various media, including educational game media. Games, increasingly loved by all groups, including children, should be directed towards more positive uses. This study aims to analyze and examine the use of educational games that can improve education in an elementary school institution at the first-grade level, precisely at MI Miftahul Khoir in Kotaanyar Village, Probolinggo Regency. This research uses a case study type qualitative approach by carrying out data collection techniques through data analysis, data display, and finally concluding. The study results obtained that first, at the first-grade level, MI Miftahul Khoir used educational game media to increase calistung in students. Second, the implementation of educational games was carried out with techniques; Brainstorming, Introduction to Calistung through Educational Game Media, Program Evaluation, and Continuous Improvement. The implications obtained in the use of educational games that have been well packaged can stimulate children's calistung passion, which is more increased than before when children begin to develop calistung abilities.
The role of soft skills formation among foreign language teachers

n the 21st century, in the era of globalization, modern teachers, in order to successfully implement their professional activities, need additional skills, so-called «soft skills», without, which even the best professional, nowadays cannot achieve a good result. In accordance with the purpose and objectives of this research, there was investigated and determined the level of soft skills among foreign language teachers of the Akmola region. In order to determine the soft skills, which are related to the teachers’ professional competence, there was conducted a questionnaire survey in “Google form” consisting of 16 questions. The total number of respondents was 363 teachers from different districts of the Akmola region. As part of the research, the survey participants were asked to answer questions about the “soft skills” definition and concept. The results of our study revealed an insufficient level of soft skills among 74% of the respondents, which suggests the analysis and adjustment of educational programs for the training of foreign language teachers.
Equivalence and counting

Abstract We consider the two-variable fragment of first-order logic with counting quantifiers, but where k distinguished binary predicates are constrained to be interpreted as equivalence relations. We show that, if k=1, the satisfiability and finite satisfiability problems for the resulting logic remain NExpTime-complete. Our treatment here employs the full power of the results on integer linear programming obtained in Chapter 7. In addition, we show that, if k=2, the satisfiability and finite satisfiability problems for the resulting logic become undecidable.
The Effect of the Guided Reading Model Assisted by the KWL (Know-Want to Know-Learned) Method on Reading Interests of Class V StudentsTO KNOW-LEARNED) Assisted Reading Model on Class Students’ Reading Interest

This study aims to determine the reading interest of fifth grade students through the application of the KWL (Know-Want To Know-Learned) Method Assisted Reading Model. This type of research is a quantitative study with a Quasi-Experimental Design. The research design used was Nonequivalent Control Group Design, in this study was given certain treatment (treatment), namely the control class and the experimental class.The sample in this study were students of class V in Cluster VII, Biringkanaya District, Makassar City, totaling 48 students. The data collection technique used was giving questionnaires. The data analysis technique used was descriptive statistics, inferential statistics, hypothesis testing T and manova.The results showed that the results of the fifth grade students' reading interest questionnaire in the experimental class used the KWL (Know-Want To Know-Learned) Assisted Reading Model. ) obtained an average value of r ata 83.09 which means the students' interest in reading is very good. So it can be concluded that there is an influence of the Guided Reading model assisted by the KWL (Know-Want To Know-Learned) method on the reading interest of Class V students throughout Cluster VII, Biringkanaya District, Makassar City
Bayesian Logistic Model for Positive and Unlabeled Data

In the paper, we introduce a novel method of estimating label frequency and parameters of the logistic model for positive and unlabeled (PU) data. Our approach is based on Gibbs sampler that uses Pólya-Gamma latent variables for Bayesian logistic model. In the paper, we focus on estimating label frequency, but the proposed method also provides estimated probabilities of being positive observation among the unlabeled ones.
The design of information systems the village office of Silaberanti

On when searching for a letter that has been made before. The process of collecting data on incoming and outgoing letters from the village office is also still manual. So prone to errors and data loss. The Silaberanti Village Office requires a more secure and faster mail processing. Based on the existing background, the Silaberanti Wanting Village Office can handle these problems, such as processing letters so as to produce appropriate mail processing reports. So that it can accelerate the performance of the Village Office employees Silaberanti records incoming and outgoing letters
Userinterface analysis on the website of pt. Rifan financindo palembang futures using the usability scale system method

Website of PT. Rifan Financindo Berjangka has a home link, Profile (History, Products, Client Registration, Brokerage Representatives, Legality, Investment Procedures, Education, Info and activities, Market Updates, Announcements, Contacts, and Location). Service quality in disseminating information on the website of PT. Rifan Financindo Berjangka has become a very important need for the community, because it has an impact on public satisfaction with the performance of information service managers on the PT. Rifan Financindo Futures. In the end, the improvement in service quality is an indicator of the success of PT. Rifan Financindo Berjangka in improving the services provided to the public as well as being a publication media for the PT. Rifan Financindo Berjangka.
RELATIONSHIP BETWEEN COMPETENCE-BASED DIGITAL LITERACY CONCEPTS AND MANAGEMENT OF PRIMARY SCHOOL CURRICULUM IMPLEMENTATION IN EMBU COUNTY, KENYA

The study investigated relationship between competence-based digital literacy concepts and management of primary school curriculum implementation in Embu County Kenya. Competence based curriculum digital literacy emphasizes development of digital skills, knowledge and core competences in learners’ real life situation, in Kenya. However, competence-based curriculum implementation is insufficiently managed following limited digital technology use in schools; rising concern on effectiveness of competence based learning activities in Kenyan schools. The objective of the study is to determine relationship between competence-based digital literacy concepts and management of primary school curriculum implementation in Embu County, Kenya. The study involved 364 respondents using purposive and simple random techniques. The study employed correlation research design. The study respondents were: competence-based classroom teachers, subject panel heads, senior teachers, head teachers and deputy head teachers. The data collection tools were questionnaires and interview guides for head teachers, deputy head teachers, subject panel heads, senior teachers and competence based classroom teachers. The descriptive statistics was presented in frequencies and percentages; while inferential statistics was analyzed using regression statistic technique. The study reviewed that most school managers have integrated in teaching and learning the current and emerging digital technologies to support curriculum delivery and management; as well as managing and creating information in the immediate digital environment. The study established that digital technologies enable provision of individualized learning management system for teachers. The study indicated that there is significant relationship between competence-based digital literacy concepts and management of primary school curriculum implementation in Embu County, Kenya. Following study findings, the researcher concludes that competence-based digital literacy concepts are crucial in management of primary school curriculum implementation in Kenyan schools. Therefore, the researcher recommends that ministry of education should promote digital literacy technologies for efficient curriculum implementation management in primary schools in Kenya.
Supplemental Material: Early Neoproterozoic tectonics in the Marwar Crustal Block, NW India, the relevance of the Phulad Shear Zone, and implications for Rodinia reconstruction

&lt;p&gt;File S1: Concordant zircon data (&lt;±5% degree of discordance) of previous works from the Marwar Crustal Block and the South Delhi Fold Belt. File S2: Analytical protocol of monazite analysis.&lt;/p&gt;
Blockchain in Practice?

The digital future has reached a new milestone and brought major changes to industries. Blockchain technology has taken centre stage in recent years. The range of blockchain and distributed ledger technologies (DLT) has great potential to create an infrastructure for reliable, decentralised and unmediated services beyond the financial sector. In logistics, blockchain-centric solutions are being sought to perform infocommunications activities with distributed databases. Business users expect a leap in efficiency and speed in the execution of their daily processes. Blockchains can be used to take digitisation and monitoring to a higher level. However, the question is how this can be used in everyday life. How to acquire the right digital competences, how to make complex systems. We can see that ICT is also making progress in the field of education. It is important to build and develop digital competences. The European Union has also recognised the importance of this area and has launched a testing system. In this paper, we briefly describe the functioning of the blockchain. We will show that it can be used in many areas of the economy. We will also touch upon education in the ICT field with a special focus on digital education. Finally, the future expectations of the European Union are outlined.
Zebra Crossing Detection Using Concatenation of SIFT-Gabor Features

Abstract: Zebra-crossing recognition is a challenging activity for visually impaired navigating safely. This paper proposes a zebra-crossing scene recognition model-based fusion of texture features and geometrical features. The Gabor features for 8 orientations are extracted for different orientations Zebra Crossing lines. The SIFT is employed for keypoint detection and description. The final features vector is obtained by concatenating Gabor and SIFT features. The feature vector is optimized using K-means clustering and Principle Component Analysis (PCA). The optimized feature vectors were classified using five Classifiers, SVM, Random Forest, Decision Tree, Naïve Bayes Classifiers. The proposed model successfully recognizes the crosswalks with 89% accuracy. The different classifier models are evaluated for Precision, Accuracy, F1 Score, Recall, and RoC. This paper specifies the classification of two class positive which is zebra-crossing and negative which is no zebra-crossing. The designed system will classify either the crosswalk is detected or not on the basis of percentage specified for each class. This can be done by matching the features of the trained dataset. Those features are matched with the real videos or images to recognize the motion and classify into specific class. More specific crosswalk detection in real time can be executed to get more specific type of positive and negative class and classification.
Calibration of central catadioptric cameras based on the projection properties between the right and oblique cones

Central catadioptric cameras with a single effective viewpoint can easily transform the original image into a perspective image. In this study, we proposed a calibration algorithm for central catadioptric cameras. A vanishing line was recovered by the images of two sphere images (or line images) and mirror contour based on the properties of right and oblique cones. Subsequently, the intrinsic parameters were solved by the image of circular points and the orthogonal vanishing points. Finally, the distortion coefficient was estimated based on the geometric properties of the right cone. The simulation and real-time experiments conducted proved the effectiveness and feasibility of the proposed algorithm.