Reviewerly/exHarmony huggingface dataset:
Ontology Development for Knowledge Representation of a Metrology Lab

Digital transformation in metrology is impacting the industry, where accurate and fair data are essential to take enterprises to the next level in the digital era. The amount and complexity of information are growing exponentially, and expert knowledge becomes imperative for users to perform measurement tasks and decision-making. This study presents the development of a modular metrological inspection ontology for a metrology laboratory based on the reuse of ontologies related to sensors and units of measurement. Such an ontology considers information about operators and customers (name, telephone number, email) and the linkage to service orders, pieces (length, height, width), measurement strategies (expert notes about measurement procedures and paths), and measuring machines (measuring scope, uncertainty, sensor probe). The proposed solution delivers a digitalized catalog that allows the user to filter records according to the geometrical characteristics of the pieces and recover notes related to measurement procedures and paths for similar cases. The purpose is to promote knowledge sharing and narrow the gap to achieve digital transformation toward Metrology 4.0 in laboratories prepared to offer metrological support.
Single-test Ritchey-Common interferometry

The Ritchey-Common test is widely adopted to measure large optical flats. The traditional Ritchey-Common test eliminates the defocus error with multiple tests by changing the position of the mirrors, which suffers from cumbersome steps, poor repeatability, coupled system error, extra mirror deformation, and potential overturning. The above problems increase the test time, decrease the reliability and accuracy, increase the test cost, and threaten manufacturing safety. We propose a single-test Ritchey-Common interferometry to avoid the obligatory position change in the traditional method. A sub-aperture of test flat is directly measured by a small-aperture interferometer before the test, which is easy to implement, to replace the extra system wavefront measurement in different positions. The defocus is calculated in sub-aperture at exactly the same position as the full-field measurement without the position change, then the surface form under test can be obtained with accurate optical path modeling. Measurement experiments for 100 mm and 2050 mm aperture flats were performed to demonstrate the feasibility of this method. Compared with a direct test in a standard Zygo interferometer, the peak to valley (PV) and root mean square (RMS) errors were 0.0889 λ and 0.0126 λ (λ=632.8 nm), respectively, which reaches the upper limit of accuracy of the interferometer. To the best of our knowledge, this is the first proposal of the Ritchey-Common test that can eliminate the defocus error and realize high accuracy measurement in a single test. Our work paves the way for reliable and practical optical metrology for large optical flats.
EXPLORING HIGH SCHOOL STUDENTS’ POTENTIAL FOR IMPROVING DESIGN WITH ARTIFICIAL INTELLIGENCE

This community engagement initiative aimed to enhance digital literacy and graphic design skills, mainly focusing on the Canva application with the integration of artificial intelligence (AI). The project significantly improved participants' understanding of digital literacy and equipped them with practical graphic design abilities while introducing the potential of AI in design. Students from SMA Budi Mulia Tangerang benefited from this initiative, gaining the skills needed for today's digital age, including harnessing AI for design enhancements. The introduction of Canva, combined with AI capabilities, provided an accessible tool for creative expression, and participants demonstrated enhanced graphic design skills. Emphasis on digital ethics ensures responsible technology use, including AI-powered design tools. This project highlights the importance of tailored education in a digital era, promoting digital literacy, creativity, ethical technology use, and AI integration among high school students.
DIGITAL BOOK FOR IMPROVING LITERACY IN CHILDREN AT THE RUMI BANTAR GEBANG READING CENTER

According to a survey conducted by the Program for International Student Assessment (PISA) which was released by the Organization for Economic Cooperation and Development (OECD) in 2019 stated that Indonesia ranked 62nd out of 70 countries with regard to literacy levels. with literacy levels. Based on this survey, one way to increase Indonesian people's interest in reading is by teaching literacy education from an early age. From some of the research results that have been reviewed, we have not found any research that designs or creates e-book applications as a way to improve literacy. research that designs or creates e-book applications as one of the media to support early childhood literacy to support early childhood literacy. Increasing interest in reading can be done in various ways, one of which is by presenting a reading literacy house in the community. Facing the problems and phenomena above, the community service team plans to mobilize interest in reading in children. devotion team plans to mobilize interest in reading in children or cultivate reading literacy assisted by the e-book application. PKM location selection about increasing literacy at the Umi Reading House located in the Bantar Gebang landfill site Area Village, Sumur Batu, is one of the literacy movements that started from the coverage of areas that are less considered by the local government. The solution that the team team plans to foster interest in reading in children, especially children, namely; 1) Provide reading books, especially reading books for children, 2) Build an e-book application that can always be used by children to read, 3) Conduct socialization and mentoring on how to use the e-book application.
RefCap: image captioning with referent objects attributes

Abstract In recent years, significant progress has been made in visual-linguistic multi-modality research, leading to advancements in visual comprehension and its applications in computer vision tasks. One fundamental task in visual-linguistic understanding is image captioning, which involves generating human-understandable textual descriptions given an input image. This paper introduces a referring expression image captioning model that incorporates the supervision of interesting objects. Our model utilizes user-specified object keywords as a prefix to generate specific captions that are relevant to the target object. The model consists of three modules including: (i) visual grounding, (ii) referring object selection, and (iii) image captioning modules. To evaluate its performance, we conducted experiments on the RefCOCO and COCO captioning datasets. The experimental results demonstrate that our proposed method effectively generates meaningful captions aligned with users’ specific interests.
Initial Value Problems: a Didactic Tool in Evolution

Various science and engineering problems, generally time-dependent, are modeled with ordinary differential equations with conditions at the same value of the independent variable, called initial value problems. The use of technological resources during the learning process allows students to execute routine procedures quickly and simply, enabling them to have more time to discuss concepts. The use of these resources helps to generate a learning environment where, through the use of certain mathematical skills, students can achieve meaningful and comprehensive learning. The aim of this work is to show an update of a self-designed tool to approximate the solution of initial value problems that allows comparisons between some one-step methods and multi-step methods and the analysis of the numerical solutions obtained when varying certain parameters. The update of the tool arises to satisfy different requirements discovered after the use of the previous tool.&#x0D;
Remote Control Of A Serial Manipulator Using Depth Camera

In this study, a serial robot arm was manipulated in real time using a depth sensor. Xbox-Kinect sensor is used as depth sensor. Kinect data was transferred to an industrial computer and processed. A three-axis serial robot arm was developed, and experiments were carried out on this developed prototype in real time. The drive of the three-axis robot is provided with RC servo motors and these motors are controlled by Arduino Uno R3 board. To find the joint angles, the image obtained from the Kinect camera has evolved into a skeleton form through the image processing program developed in the ARDUINO-Processing environment. Vector elements are defined on the human limbs of which posture is to be calculated. The angles between the limbs were obtained by applying trigonometric operations to these vectors. The reference angles were sent to the Arduino Uno R3 board, and the servo motors that provide the movement of the robot were controlled according to these angle values and the movement of the system was ensured. As a result of the experiments, it has been observed that the robot arm can imitate the movements made instantly.
Application of Blockchain in Corporate Governance: Adaptability, Challenges and Regulation in BRICS

The digital revolution has changed many facets of daily life over the past few decades. Think about how personal computers and smartphones are becoming more powerful and smaller, how the Internet has spread throughout the world and led to the emergence of new forms of social interaction, and how there is always access to massive volumes of automated algorithms processing cloud-based data that is utilised in a number of settings. Similarly, it has been observed that blockchain technology has the potential to provide clever fixes for traditional inefficiencies of corporate governance, particularly in the dynamically evolving paradigm in the emerging economics like BRICS nations i.e., Brazil, Russia, India, China, and South Africa. This paper aims to explore the possibilities of adopting blockchain technology within the arrays of internal governance mechanisms while emphasizing on the redressal to legal and regulatory challenges. The paper also critically analyzes the implication and utility of this evolved technology in the corporate governance systems of BRICS nations.
A Human Factors Approach to Improve Layout Design for A Virtual Reality-based Training Platform

In manufacturing industries, equipment arrangement, and layout design are critical factors that directly influence productivity, workplace safety, and workers’ performance. Link analysis, as a human factors approach, has been widely used in industries for many years to improve layout design and machinery arrangement. This approach considers humans' physical and cognitive capabilities and movement limitations to find an optimal design. Virtual reality significantly impacts our society from product design to worker training. Hence, effective virtual training platforms require the same attention to layout design as manufacturing work settings which offer efficient testing of multiple layouts. This research focuses on developing a virtual 3D printing laboratory for workforce training and has used a link analysis and user perception study to improve the layout of the virtual workplace. The research demonstrates the importance of layout design in virtual training platforms and the potential benefits of utilizing link analysis in optimizing layout design.
Improving the Model of Interaction between Pedagogical Universities and Basic Schools (Based on the Scientific and Methodological Center for the Support of Teaching Workers)

The article examines the problem of improving the model of interaction between a pedagogical university and basic schools in the context of involving higher education in the continuous development of teaching workers, developed and implemented by the Novosibirsk State Pedagogical University in 2021. The purpose of the article is to analyze the elements of the model, adjust and describe the updated model. The authors consider changes in the interaction between the university and schools, the place of the pedagogical university and the scientific and methodological center for support of teaching workers in the unified federal system of support for teaching workers. The authors clarified the characteristics of the basic school and classified the schools with which the university interacts on a regular basis. Based on an assessment of the compliance of the existing practice of interaction between the university and basic schools with regulatory requirements, the model was updated. The updated model highlights the processes of organizing methodological support for teaching staff and management personnel (based on the scientific and methodological center for support of teaching workers) and support for educational and research activities of students. Lines of interaction: maintaining and developing professional competencies of teaching staff; maintaining and developing professional competencies of management personnel; scientific and methodological support for the activities of basic school teams; entry into the teaching profession; support of educational and research activities of students. Each line of interaction is aimed at a target group – the subject of the relationship. The content of the interaction is presented in current areas of development of the system of general and continuing pedagogical education and subject areas. The procedure for forming cooperation agreements with basic schools and road maps based on the action plan for the implementation of the university development program is described.
Google’s Search Generative Experience (SGE) is now available in 120+ countres. What you need to know

Note: This is a lightly edited piece of something I wrote for my institution &lt;strong&gt; What is Google’s Search Generative Experience (SGE)? &lt;/strong&gt; In past ResearchRadar pieces, we have discussed about how search engines both general (e.g. Bing Chat, Perplexity) and academic (e.g Elicit, Scite Assistant, Scopus (upcoming)) are integrating search with generative AI (via Large Language Models) using techniques like RAG (Retrieval Augmented
БЛОГИ ПОЛІТИЧНОГО КОМЕНТАТОРА ТА ОГЛЯДАЧА ВІТАЛІЯ ПОРТНІКОВА: ОСОБЛИВОСТІ ФУНКЦІОНУВАННЯ

&lt;p&gt;&lt;strong&gt;&lt;em&gt;The purpose of the article &lt;/em&gt;&lt;/strong&gt;&lt;em&gt;is to identify the features of the blog as a means of professional activity of journalist, political commentator and columnist Vitaliy Portnikov.&lt;/em&gt;&lt;/p&gt;&lt;p&gt;&lt;strong&gt;&lt;em&gt;Research methodology.&lt;/em&gt;&lt;/strong&gt;&lt;em&gt; The main methods used in the study are descriptive and comparative, the method of scientific observation, theoretical analysis and synthesis, the method of generalization (study of scientific literature on the issue of blogging), systematic (study of the object in connection with the identification of the features of blogging), a functional (disclosure of the essence of the blog as a means of professional activity of a journalist).&lt;/em&gt;&lt;/p&gt;&lt;p&gt;&lt;strong&gt;&lt;em&gt;Results.&lt;/em&gt;&lt;/strong&gt;&lt;em&gt; The blog is a powerful tool of communication in the professional activity of the famous Ukrainian journalist Vitaliy Portnikov. It is only important to use all the opportunities that the blogosphere offers to journalists. In fact, the analysis of Vitaliy Portnikov’s blog activity on social media has shown that the ability to work in this environment on different platforms (Facebook, Twitter, Telegram, YouTube, Instagram) requires a lot of effort and resources, but it allows him to make his journalistic work better known among readers and be recognized as an expert media personality. It is important that the journalist goes beyond the social media environment and has a successful blog in online publications. The analysis of these particular blog posts not only reveals certain features of the blogs and strategies of communication with the audience, but also allows us to identify their structure, topics and conceptual component.&lt;/em&gt;&lt;/p&gt;&lt;p&gt;&lt;strong&gt;&lt;em&gt;Novelty.&lt;/em&gt;&lt;/strong&gt;&lt;em&gt; The scientific novelty of the study is an attempt to investigate the features of blogs (creation and distribution of content, communication with the audience, structural, thematic and conceptual components) as a form of professional communication of political commentator and columnist Vitaliy Portnikov.&lt;/em&gt;&lt;/p&gt;&lt;p&gt;&lt;strong&gt;&lt;em&gt;Practical significance.&lt;/em&gt;&lt;/strong&gt;&lt;em&gt; The practical significance of the results is due to the growing role of Internet media and social networks in society as a means of communication, and in the journalistic environment as a tool for professional skills and image growth, which makes it possible to use the research materials in the process of analyzing specific aspects of journalistic skills in order to identify new aspects of the creative personality of a political commentator and columnist.&lt;/em&gt;&lt;/p&gt;&lt;p&gt;&lt;strong&gt;&lt;em&gt;Key words:&lt;/em&gt;&lt;/strong&gt;&lt;em&gt; blog, commentator, columnist, online media, social networks, audience, content.&lt;/em&gt;&lt;/p&gt;
A monocular vision-based approach to spatial cooperative target pose solving

In this paper, a monocular vision measurement method based on feature detection and extraction and PnP algorithm is used to solve the relative pose of the spatial target, which is used to quickly and accurately determine the positional relationship between the two targets in space. Based on the structure of the spatial target, the pixel coordinates of four coplanar feature points and two non-coplanar feature points on the spatial target are extracted to the image using image processing methods, and then combined with the PnP problem based on six feature points is solved by combining the dimensional information of the spatial target, and the relative positions of the camera and the spatial target are solved. The experimental analysis shows that the spatial target position calculated by this method is close to the real result, which verifies the effectiveness of this method.
Attribute-wise sample generator: a module for generalized long tail data

Existing Long-Tail classification (LT) methods ignore attribute class imbalance and focus only on addressing class imbalance where the head class has more samples than the tail class. In fact, even if the classes are balanced, the samples in each class can still be long-tailed due to attribute variability. The latter is fundamentally more general and difficult than the former, not only because attributes are implicitly included in most datasets, but also because they are more complex to construct. Therefore, we introduce a new research question, generalized long-tail classification (GLT), to jointly consider these two imbalances. And the ASG model is proposed to deal with the long-tail problem of attributes on the data set. ASG is a generalized class rebalancing method, which aims to balance the classes and attributes of the training data. It uses a feature displacement model to extract feature displacements, and then generates new samples according to the distribution of attributes in each class. Experiments prove that ASG has achieved good results on various datasets.
LIGI: low-light image enhancement via gray image

Low-light images are usually affected by problems such as low illumination, noise, and color distortion, resulting in unsatisfactory image enhancement. Low-light image enhancement aims to improve the quality and visibility of low-light images. In this paper, a gray image based low-light image enhancement deep learning method is proposed, which converts the low-light image to gray image and then extracts the important information in the image as branches to assist the main network. To achieve better enhancement performance, we proposed denoising center block (DC block), which focusing on color restoration and information preservation. The experimental results show that the method proposed in this paper outperforms the existing low-light image enhancement methods in both objective and subjective evaluation metrics, and can effectively improve the clarity, contrast, and color reproduction of low-light images.
FPGA implementation of ellipse fitting based on least squares

Ellipse fitting is widely used in image processing, machine vision and other fields. Aiming at the problems of large data computation, high complexity and longtime consumption in the implementation of ellipse fitting algorithm by programmable gate array (FPGA), this paper proposes an FPGA implementation method of ellipse fitting based on least squares. This method is based on the principle of least squares. In the ellipse fitting problem under constraints, the generalized eigenvalue and eigenvector problem of the sixth-order matrix is avoided, and it is transformed into the eigenvalue and eigenvector of the general third-order matrix. Householder transformation and Givens rotation are used to greatly reduce the computational complexity. The simulation results show that the method still has high accuracy when using fixed-point number calculation.
Network accounting information security based on classification and regression tree algorithm

The continuous development of network accounting has promoted the continuous improvement of accounting operation means, objectives, functions, and supervision and management of enterprises. However, it cannot be ignored that network technology has also brought serious security threats to accounting information system. This article mainly conducts research on network accounting information security based on classification and regression tree algorithm. This article first introduces the security risks of network accounting information, then analyzes the principle of decision trees and the selection of classifiers. Finally, this article uses classification and regression trees to construct a network accounting information security model. Through the experimental results, it can be concluded that the network accounting information security model has a recognition rate of 90.33% for accounting information, which is superior to most information security models.
Testing methods to explore the evolution of ‘stream’-related terms in the Danish Web archive

This article uses Internet archives to explore the emergence and spread of terms with the stem ‘stream’ in the Danish Web domain from 2006 to 2021, focusing on the actors that contributed to its evolution. I test three proposed methods for investigating the Web pages and Web sites that employed a given term. My findings highlight temporal developments in the use of ‘stream*’, ‘streamingtjeneste’, and ‘streaming service’ with diverse actors using it, though news Web sites clearly dominated. This research attends to challenges in working with Web archive data, and evaluates methods with regard to large datasets, that others can use to engage empirically with Internet archives, which remain vast, but largely under-exploited resources.