Reviewerly/exHarmony huggingface dataset:
The Chekhov Digital project: tasks and problems of implementing semantic markup of texts (on the example of A. P. Chekhov's story "The Death of an Official")

The article considers a model of preparation of machine-readable (semantic) markup of texts for the Chekhov Digital project on the example of philological interpretation of individual significant elements of A. P. Chekhov's story "Death of an Official" and presentation of this information explicitly based on the standards of digital publication Text Encoding Initiative (TEI/XML). Based on the work of literary researchers, significant entities have been identified for marking up the corpus of the writer's texts, but the question of their representation in the text remains quite complex. A philological examination of such aspects as "properties, states and events; character features" in an excerpt from the story of A.P. Chekhov was carried out from the point of view of the TEI markup capabilities for preserving philological knowledge in a machine-readable format. One of the objectives of the Chekhov Digital project is to go beyond a simple digitized text and provide useful digital tools for the researcher. The elements of machine-readable markup are presented, which make it possible to mark up significant entities in Chekhov's texts for organizing semantic search through the corpus of the writer's texts, the problems and research tasks arising in the process of implementing such interdisciplinary projects due to the need to combine the efforts of specialists from different fields of knowledge are considered. The project implements the principle of Open research data, the most important task of which is to create scientific communities around data. The work on the project led to the development of scientific cooperation between researchers of the Higher School of Economics, the UNC RAS and the SFU.
Research on Embedded Multichannel Audio Conversion Module

Abstract With the rapid development and progress of information technology and the wide usage of audio signal processing in underwater acoustic signal processing, acoustic audio signal acquisition, conversion, and transmission technology always play an important role. To enhance the ability of signal acquisition and conversion with high reliability, this paper designs an embedded multi-channel audio conversion module. The module achieves multi-channel, multi-sample rates with synchronous analog-to-digital/digital-to-analog conversion (ADC/DAC) function, and additionally equips with dual network redundancy. The module uses a chip integrated with ARM and programmable logic FPGA as the main control chip. The writing of the underlying driver and application code ensures the reliable operation of the DAC chip and ADC chip and the steady of the network transmission. Through experimental verification, the audio conversion module performs well in multi-channel and multi-sample rates with synchronous ADC/DAC, and the crosstalk between channels is less than -50 dB. The dual network redundancy design and the application of the RS232 serial port ensure the high fidelity, reliability, and reprogramming of the audio conversion function, which shows the design can be used in a wide range of scenarios.
Preface

The 2023 4 th International Conference on Electrical, Electronic Information and Communication Engineering (EEICE 2023) took place on April 21 st to 23 rd , 2023 in Dalian, China (hybrid event), attracting about 150 delegates around the world. The previous three conferences of EEICE series were successfully held via virtual form, enjoying great popularity. EEICE 2023 aims to bring together leading academic scientists, researchers, and practitioners to present and discuss the most recent innovations, trends, and concerns as well as practical challenges encountered and solutions adopted in the domain of interest from around the world to exchange, share their experiences and research results on all aspects of electrical, electronic information and communication engineering. EEICE 2023 is the premier interdisciplinary platform for the presentation of new advances and research results in related fields. Prospective authors are kindly encouraged to contribute to and help shape the Conference through submissions of their research abstracts, papers, posters and high-quality research contributions describing original and unpublished results of conceptual, constructive, empirical, experimental, or theoretical work in all areas of electrical, electronic information and communication engineering, and speakers are cordially invited for presentation at the Conference. At this meeting we had a comprehensive overview of this fascinating field and of future scenarios thanks to the participation of leaders of the most important projects. Professor Wei Yue from Dalian Maritime University, China performed a keynote speech on the title Connected and Automated Vehicles Control with Communication Constraints. The efficient and safe operation of connected and automated vehicle systems is highly dependent on the ability of the vehicles to communicate with each other and with the infrastructure. However, in real-world scenarios, communication constraints such as limited bandwidth, latency, and data loss can significantly impact the effectiveness of vehicle control systems. Therefore, the goal of this research is to ensure that connected and automated vehicle systems can operate effectively and safely in the face of communication constraints, enabling the widespread adoption of this technology to enhance the efficiency and safety of transportation systems. Their sharing of knowledge and experience has sparked heated discussion in the Conference. Last but not the least is our gratitude. As editors we would like to express our sincere thanks to all the plenary and invited speakers, the members of the Technical Program Committee and the Organizing Committee for the success of the Conference, which has given rise to this present volume of selected papers. Special thanks to the members of Journal of Physics: Conference Series for making this volume published. The Committee of EEICE 2023 List of Conference Committee is available in this pdf.
Anti-interference Technology of Multi-type Data Acquisition and Transmission Based on HPLC

Abstract With the development of the social economy, electricity consumption increases rapidly. A large amount of real-time electricity consumption data plays an important role in analyzing the power grid business. Monitoring power consumption performance through electricity consumption data is also an important indicator to improve power grid performance. By analyzing the characteristics of HPLC channels, such as capacitance characteristics, frequency loss characteristics, signal-to-noise ratio characteristics, line icing, and noise interference, the critical values of data transmission distortion caused by the characteristics of each channel were summarized. On this basis, it is concluded that suitable filters and amplifiers should be selected to improve the signal-to-noise ratio and the transmission quality of HPLC signals. Therefore, an anti-interference technology for data transmission based on HPLC is proposed. Finally, the application advantages and existing problems of HPLC technology in three-stream integration data acquisition and transmission are further explored.
INTERNAL CONJUNCTION APPLICATION IN JAKARTA POST NEWS ABOUT “GENDER”

Discourse is generally the way a person thinks and communicates with others. Discourse does not only share certain thoughts and meanings; there are many kinds of topics that can be discussed and analyzed. One of them is conjunction, which is a part of an utterance that is used to connect words, phrases, clauses, and sentences, which are divided into external and internal. Conjunctions have four types, namely addition, comparison, time, and effect. With the data source of four news texts selected by the Jakarta Post with the topic Gender," this research has the aim of: To find out the internal conjunctions that exist in the Jakarta Post news texts as written discourse. 2). The method used is descriptive-qualitative, which produces twenty-nine pieces of data consisting of conjunctions of addition, time, consequence, and comparison. There are thirteen data points (44.8%) of addition conjunctions. Seven data points (24.2%) are time conjunctions, and four data points (13.8%) are consequence conjunctions. Finally, five data points (17.2%) are comparison conjunctions.
Exploring the Potential of Virtual Reality as Part of the Training of Students in the Self-Defense Elective Course

A new teaching method using virtual reality (VR) technology has been introduced into the self-defense training program for future medical professionals at the Medical University of Sofia. This experiment was conducted with students of an elective course in self-defense, using VR smartphone goggles and the online platform CoSpaces Edu for simulation. The research methodology included eleven questions about the potential and effectiveness of using VR in self-defense training. The results showed that most students were familiar with VR technology and thought it could be helpful. However, they reported that they had not yet attended a single workshop using VR technology, indicating limited use in higher education. The advantages of using VR in self-defense training include simulating real-world scenarios in a safe virtual environment, providing personalized training tailored to individual cases, and improving decision-making skills in critical situations. Disadvantages include a lack of specialized content, expensive equipment, and limited accessibility to training. Despite these challenges, many respondents believe that virtual training in a virtual environment is safer and more effective than traditional forms of training.
Multi-point measurement of vibration displacements with their phase difference using phase-modulated interferometer

We demonstrate a method to measure the displacement of a vibrating sample at multi points along with their phase differences by using a phase-modulated interferometer. Using a sample vibrating at 80 kHz, we successfully measured the amplitudes of around 35 nm and their phases at three points.
Both Pedagogy and Psychology Need the Concept of Thirst for Ability and Thirst for Blazing New Trails

The desire for ability (the interest in increasing wisdom) and the desire for innovation (the interest in creation) exist objectively, and the desire for knowledge (interest in recognition) cannot replace them. People pay more attention to ability, especially creativity, than to knowledge. It is much easier to make up for the lack of knowledge than to make up for the lack of ability. However, in pedagogy and psychology, there is only the concept of the desire for knowledge, but not the concept of the desire for ability and the concept of the desire for innovation. The strange phenomenon of "using cognitive interest to carry out intellectual and creative education" has existed for a long time. This makes insufficient the subjective initiative of "the cultivation of ability and innovation consciousness that must be started and run through". Strong comprehensive ability and innovation are the needs of the times for talents. Ability and innovation awareness can be cultivated. Just as the levels of knowledge and ability are different, the levels of thirst for knowledge and thirst for ability are also different. The thirst for knowledge cannot replace the thirst for ability and innovation. The process and methods of ability development and knowledge transfer are different and cannot be replaced by each other. It is necessary and possible to establish the concept of desire for ability and desire for innovation. Apply the concept of desire for ability and innovation to change the strange situation of cultivating creativity and comprehensive ability based on cognitive interest.
A Comprehensive Analysis of Real-World Image Captioning and Scene Identification

Image captioning is a computer vision task that involves generating natural language descriptions for images. This method has numerous applications in various domains, including image retrieval systems, medicine, and various industries. However, while there has been significant research in image captioning, most studies have focused on high quality images or controlled environments, without exploring the challenges of real-world image captioning. Real-world image captioning involves complex and dynamic environments with numerous points of attention, with images which are often very poor in quality, making it a challenging task, even for humans. This paper evaluates the performance of various models that are built on top of different encoding mechanisms, language decoders and training procedures using a newly created real-world dataset that consists of over 800+ images of over 65 different scene classes, built using MIT Indoor scenes dataset. This dataset is captioned using the IC3 approach that generates more descriptive captions by summarizing the details that are covered by standard image captioning models from unique view-points of the image.
Development of a Path Tracking System for GPS Denied Environment

Navigation applications such as Google Maps and Waze fail to function at global positioning system (GPS) denied environments. This is typically the primary problem faced by mountain hikers who have lost their way in a dense forest or a dementia patient who has lost his/her way. Navigation applications fail to function at places without internet signal. Also, a dementia patient may not be able to recall his original destination, rendering the GPS useless.The development of a path tracking system which does not rely on GPS is therefore necessary in such a situation. The system should be capable of guiding a person to return back to his/her original starting point without the requirement of a GPS. In this paper, we present the development of a path tracking system which exploits the inertial measurement unit embedded in a mobile phone. Doing so, the use of the GPS can be evaded. The system that we have developed consists of 3 main functions, i.e. (i) path recording, (ii) path navigation, and (iii) map generation. An SQLite database is setup in this application for storing data. Java libraries such as GraphView and Canvas are implemented to perform observation on the data obtained from the sensors and also to map the route according to the data stored into the device. The validation results show that the accuracy of the system is beyond 90%. The results convincingly corroborate the reliability and feasibility of the system.
Revolutionizing Industries: The Impact of Artificial Intelligence Technologies

This paper aims to examine the impact of Artificial Intelligence (AI) technologies on various industries. The study provides an overview of AI and its applications, followed by a detailed case study of its use in the healthcare industry. The examination then extends to the financial services and banking sector, where the use of AI is revolutionizing the way business is done. The paper also delves into the manufacturing and supply chain management sector, where AI is streamlining operations and increasing efficiency. The retail industry and customer experience are also analyzed to understand the impact of AI on this sector. The paper concludes with a future outlook for AI in various industries and its potential to transform the way we live and work. The study provides insights for professionals and researchers to understand the potential of AI in their respective fields and to explore new opportunities.
Exploring the Frontier of Deep Neural Networks: Progress, Challenges, and Future Directions

This research paper provides an overview of the development and current state of neural network technology. The paper begins with a historical overview of the field, followed by a discussion of the theoretical foundations of neural networks. The types of neural networks and their various applications are then explored, along with the techniques used to train and optimize these networks. The paper goes on to examine recent advancements in deep neural networks and the challenges and limitations that still face this rapidly developing field. Finally, the paper concludes with a discussion of the potential future directions and impact of neural network technology. This comprehensive overview of the field of neural networks will be of interest to researchers, practitioners, and anyone interested in the development and application of artificial intelligence.
Deciphering the Blockchain: A Comprehensive Analysis of Bitcoin’s Evolution, Adoption, and Future Implications

This research paper provides a comprehensive analysis of Bitcoin, delving into its evolution, adoption, and potential future implications. As the pioneering cryptocurrency, Bitcoin has sparked significant interest and debate in recent years, challenging traditional financial systems and introducing the world to the power of block chain technology. This paper aims to offer a thorough understanding of Bitcoin’s underlying cryptographic principles, network architecture, and consensus mechanisms, primarily focusing on the Proof-of Work model. We also explore the economic aspects of Bitcoin, examining price fluctuations, market trends, and factors influencing its value. A detailed investigation of the regulatory landscape, including global regulatory approaches, taxation policies, and legal challenges, offers insights into the hurdles and opportunities faced by the cryptocurrency. Furthermore, we discuss the adoption of Bitcoin in various use cases, its impact on traditional finance, and its role in the growing decentralized finance (DeFi) sector. Finally, the paper addresses the future of Bitcoin and cryptocurrencies, identifying emerging trends, technological innovations, and environmental concerns. We evaluate the potential impact of central bank digital currencies (CBDCs) on Bitcoin’s future, as well as the broader implications of this technology on global finance. By providing a holistic understanding of Bitcoin’s past, present, and potential future, this paper aims to serve as a valuable resource for scholars, policymakers, and enthusiasts alike
Retraction Notice: Semantic Prompt for Few-Shot Image Recognition

Few-shot learning is a challenging problem since only a few examples are provided to recognize a new class. Several recent studies exploit additional semantic information, e.g. text embeddings of class names, to address the issue of rare samples through combining semantic prototypes with visual prototypes. However, these methods still suffer from the spurious visual features learned from the rare support samples, resulting in limited benefits. In this paper, we propose a novel Semantic Prompt (SP) approach for few-shot learning. Instead of the naive exploitation of semantic information for remedying classifiers, we explore leveraging semantic information as prompts to tune the visual feature extraction network adaptively. Specifically, we design two complementary mechanisms to insert semantic prompts into the feature extractor: one is to enable the interaction between semantic prompts and patch embeddings along the spatial dimension via self-attention, another is to supplement visual features with the transformed semantic prompts along the channel dimension. By combining these two mechanisms, the feature extractor presents a better ability to attend to the class-specific features and obtains more generalized image representations with merely a few support samples. Through extensive experiments on four datasets, the proposed approach achieves promising results, improving the 1-shot learning accuracy by 3.67% on average.
Peningkatan Literasi Keuangan Melalui Kreasi Celengan Hias Di Sekolah Dasar

Preliminary observation shows the low interest of children to do saving at school, which is indicated by the small number of students who save regularly every week. This, together with the lack of children's understanding of saving become the basis for the community service activity. This community service activity aims to educate school-age children to provide literacy about the benefits of saving, invite children to learn to set aside some of their money for savings, and increase children's creativity by decorating piggy banks. Activities were carried out for grade 5 and 6 students at SD Negeri Getan 02, Bulu, Sukoharjo. The results of this service activity show that elementary-age students can be given an understanding of financial literacy, especially saving, in a fun way where students are enthusiastic in listening to explanation, and have question and answer session. Furthermore, the activity of decorating piggy banks by drawing, and sticking both using paper and seeds can arouse student motivation related to increasing interest in saving which is part of an effort to build financial literacy from an early age.
Peningkatan Kapasitas Sumber Daya Manusia Melalui Kemampuan Literasi Dan Numerasi Sejak Dini

This service program focuses on the importance of literacy and numeracy in the industrial era 4.0 and the efforts made in Indonesia to improve these skills. Literacy is considered a basic need in meeting the needs of human life and developed countries have recognized the importance of literacy as a human right. However, in Indonesia, students' literacy and numeracy abilities are still lacking and have even decreased in recent years. Factors such as the lack of strengthening literacy, the impact of the Covid-19 pandemic, and sub-optimal distance learning have led to a decline in students' abilities. Therefore, the Indonesian government has set literacy as a priority program and strengthened the role of LP Maarif in developing literacy and numeracy. LP Maarif is trying to provide library facilities, develop an integrated curriculum, and provide training to teachers to become agents of literacy development. Hopefully, this effort can help elementary school students build their intelligence and improve their critical, strategic and solutive thinking skills in facing future challenges.
ANALYSIS OF THE USE OF TEACHING MODULES TO INCREASING READING LITERACY IN PENDAS UPBJJ UT PADANG STUDENTS

True education is something that has a role as a foundation in human life. Therefore, the implementation of both formal and non-formal education must be carried out as well as possible and oriented towards the future of students. Education has the main goal of becoming a medium for developing potential and educating students, in this case students, so that they are ready to face life in the future. The era of globalization which is full of challenges, especially the world of education, requires students to be able to master literacy. It is known that literacy is an ability possessed by a person, both the ability to read, write, listen and speak. And what becomes one of the most important literacy in students is reading. Where reading is one of the language skills that must be possessed by students. Through the use of the teaching modules used, it is hoped that reading literacy will increase. This study&#x0D; aims to find out how the use of teaching modules increases reading literacy in PENDAS UPBJJ UT Padang students. Researchers used a qualitative descriptive approach. Data collection techniques are by interview, observation, and documentation. The module is one of the teaching aids used by students in the lecture process. The existence of teaching modules can present new learning variants and make learning more understandable and reading activities can develop.