Reviewerly/exHarmony huggingface dataset:
Research on linguistic multi-attribute decision making method for normal cloud similarity

Aiming at the uncertainty linguistic transformation problem in multi-attribute decision making, a decision-making method based on normal cloud similarity was proposed. Firstly, starting from the normal cloud characteristic curves, a normal cloud similarity measurement method based on Wasserstein distance is proposed by combing with the normal cloud entropy-containing expectation curve, which is using the Wasserstein distance to characterize the similarity characteristics of probability distribution. The properties of the proposed similarity measure are discussed in the paper. Secondly, the performance of the proposed method is compared and analyzed with the existed methods by numerical simulation experiment and time series data classification experiment. The experimental results show that the proposed method has good similarity discrimination ability, high classification accuracy and low CPU time cost. Finally, the method was successfully applied into linguistic multi-attribute decision making, and TOPSIS thought is used to compare and rank the schemes, so as to realize the final decision.
Design and development of an autonomous unmanned aerial vehicle for surface coalmines surveillance

Abstract This paper presents a detailed investigation into the development of a specialized unmanned aerial vehicle (UAV) for practical applications in coal mining. The main focus is on enhancing surveillance capabilities, identifying potential hazards, and supporting various coal mine activities. This study initiates with the careful design of a quadcopter, taking into account essential parameters such as VTOL, maneuverability, and hover efficiency. The quadcopter model is meticulously developed to ensure smooth operation under ideal conditions. The design process involves utilizing SolidWorks software to create a robust and optimized quadcopter model. Additionally, the static deformation simulation of the quadcopter is conducted using Ansys software, providing valuable insights into its structural integrity and performance. Dynamic modelling using the Bond Graph Method enables a thorough understanding of the quadcopter’s behavior and informs propulsion system selection. The chosen propulsion system prioritizes maximizing thrust-to-weight ratio to about 2:1, achieving the factor of safety of approximately 4, and ensuring maneuverability. The use of eCalc, an online open-source software, assists in identifying the ideal motor-propeller combination for optimal thrust characteristics. Surveillance and mapping techniques are explored in detail. A step-by-step methodology is proposed for image identification, while mapping is achieved through image stitching and path planning using waypoints. Additionally, volume estimation and vulnerability assessment methods specific to coal mining are discussed.
Analysis of photovoltaic power station (PPS) modeling using artificial neural network and PVsyst software

The possibility of using the method of artificial neural networks to analyze the modes of complex electric power systems with integrated large photovoltaic stations is considered. Based on the correlation analysis, the main factors influencing the energy parameters of photovoltaic power plants were selected and the boundary conditions for the Pearson coefficient were determined. The algorithm of the developed program for calculating the modes of electric power systems using neural networks is described, which makes it possible to more accurately predict generation, taking into account climatic conditions. On the example of calculations of the modes of the South-Western part of the energy system of Uzbekistan, taking into account the change in power flows as the generation of the Navoi photovoltaic plant with a capacity of 100 MW changes, a comparative analysis of the results obtained by calculation with real measurements was carried out.
STEAM Integration of Arts and Math in Kindergarten

The article analyzes the essence of the approach to the integration of arts and mathematics and its role in the formation of the universal 4K skills (creativity, communication, cooperation, criticality) in children of preschool age. A comparison of STEM and STEAM is made, describing their methods for forming the four groups of skills of the 4K system. Three types of curricula are distinguished in which art is used as an end or a means of learning. A model of the integration of arts and mathematics to develop creative and active personalities is presented. Ideas and examples of thematic projects for the integration of visual and theatrical activities in the teaching of mathematics in kindergarten are given.
Multiple Query Optimization Using a Gate-Based Quantum Computer

Quantum computing promises to solve difficult optimization problems in chemistry, physics and mathematics more efficiently than classical computers. However, it requires fault-tolerant quantum computers with millions of qubits; a technological challenge still not mastered by engineers. To lower the barrier, hybrid algorithms combining classical and quantum computers are used, where quantum computing is only used for those parts of computation that cannot be solved efficiently otherwise. In this paper, we tackle the multiple query optimization problem (MQO), an important NP-hard problem in database research. We present an implementation based on a scheme called quantum approximate optimization algorithm to solve the MQO on a gate-based quantum computer. We perform a detailed experimental evaluation of our implementation and compare its performance against a competing approach that employs a quantum annealer – another type of quantum computer. Our implementation shows a qubit efficiency of close to 99%, which is almost a factor of 2 higher than the state-of-the-art implementation. We emphasize that the problems we can solve with current gate-based quantum technology are fairly small and might not seem practical yet compared to state-of-the-art classical query optimizers. However, our experiments on using a hybrid approach of classical and quantum computing show that our implementation scales favourably with larger problem sizes. Hence, we conclude that our approach shows promising results for near-term quantum computers and thus sets the stage for a challenging avenue of novel database research.
Parallel Metaheuristic Algorithms for Solving Imbalanced Data Classification Problems

An imbalanced classification problem is one in which the distribution of instances across defined classes is uneven or biased in one direction or another. In data mining, the probabilistic neural network (PNN) classifier is a well-known technology that has been successfully used to solve a variety of classification difficulties. On the other hand, metaheuristic optimization approaches offer an excellent means by which to deal with this problem. Therefore, this work combines two metaheuristic algorithms—the Ali Baba and the Forty Thieves (AFT) algorithm and the Water Strider Algorithm (WSA)—in order to alter the weights of a PNN classifier for imbalanced datasets. This article introduces a self-contained multiple-search approach for parallel metaheuristics that may be used in a variety of situations. Most implementations begin many search processes, all of which utilize the same search algorithm, with a set of starting parameters that are all generated separately. Most implementations pick a processor to collect data and verify the data for compliance with some stopping criteria, with the latter being the default. In the proposed AFT-WSA parallel method, the two algorithms begin simultaneously, and the fitness value is communicated in each iteration to find the best classification accuracy in the smallest number of iterations, thereby allowing the weight of the PNN classifier to be adjusted. In this study, ten imbalanced public datasets were used to test the performance of the proposed approach in terms of classification accuracy, standard deviation, and F-measure.
Reliable Anomaly Detection and Localization System: Implications on Manufacturing Industry

Product quality inspection is a critical component of industrial manufacturing. An accurate and reliable Anomaly Detection and Localization (ADL) system for industrial product quality inspection is essential in real-world manufacturing factories. Collecting massive anomalous products is difficult because the number of anomalous products is limited and rare in a realistic manufacturing scenario. Therefore, the paper treats the ADL problem as a cold-start challenge, training the defects inspection network only using nominal (non-defective) images. Significantly, the paper aims to bridge the gap between academic research and real-world manufacturing industry applications. The paper lists issues that current state-of-the-art academic research faces when applied in real-world manufacturing settings, then a Reliable Anomaly Detection and Localization (RADL) system is developed to solve the issues. RADL is improved in three aspects. Firstly, the common image pre-processing method is modified by considering the characteristics of real-world industrial images. Secondly, a Fake Defect Feature Augmentation (FDFA) strategy to mitigate the scarcity of real-world data. Thirdly, a Hardness-aware Cross-Entropy loss (HCELoss) is adopted to enhance the stability and reliability of the system. On the public MVTec AD benchmarks, the proposed RADL outperforms previous methods with 99.53% in I-AUROC, 97.85% in P-AUROC, and 91.60% in PRO. Furthermore, RADL is evaluated under industrial manufacturing settings in two real-world datasets collected from industrial production lines. The experimental results demonstrate the superiority of the proposed strategies in a public dataset and real-world manufacturing industrial environments.
Metaverse Applications in Education: Systematic Literature Review and Bibliographic Analysis of 2010–2022

In recent years, the use and popularity of virtual environments and 3D virtual games in education have been increasing. In addition, virtual environments where people can meet and shop have started to be preferred day by day. In particular, the COVID-19 pandemic crisis has brought some changes in the education system. The environments in which teaching takes place have rapidly changed to cover a broad audience. In this case, different situations arise in the design process of the virtual learning environment made in the Metaverse environment. In this chapter, a systematic and bibliometric analysis of the concept of the Metaverse and the gamification applications created in virtual world environments associated with this concept in virtual environment design has been carried out. In this study, a systematic review of the use of Metaverse environments as an educational environment, the preferred techniques, and the criteria considered was carried out and was completed in seven stages. PRISMA guidelines were used as the reporting method. Within the scope of the research, only applied research is carried out in the field of education, including the concepts of “Virtual World”, “Second Life”, “Multi-user virtual environments (MUVE)”, and “Social MUVE”, in the databases of ERIC, Web of Science, Tr Index for the years 2010–2022 were included. In the first stage, 342 studies were accessed, and 52 studies that met the selection criteria were included in the analysis. The articles were examined in the context of the title, abstract, keyword, method, type of application used, application area, and findings. In this context, the literature was reviewed, the studies in the last 10 years were examined, and the historical development of the Metaverse, its applications in education, and suggestions for future studies were presented.
History and Development of Virtual Worlds and Metaverse

On October 28, 2021, with the old name Facebook, now known as Meta, introduced the research areas that Meta company targeted and decided to direct its investment, and with a more radical decision to change the name of the company in this direction [1], the concept of Metaverse made a great impression on both the media and researchers and has garnered some attention. Today, we define Metaverse as an immersive platform that we can access with augmented or virtual reality, interact with any medium using permanent avatars and innovative digital technology. But the truth is that Metaverse is not a new term. This word was first used in 1992 in the science fiction novel Snow Crash written by Neal Stephenson, similar to its current definition. Although there is no universally accepted definition of the concept of Metaverse, like every cumulatively advancing science, has historically experienced a lot since it was first introduced in 1992 and has been published in many movies and books until today and has been the subject of news and scientific research. Looking back to understand where all these developments will lead in future and contextualizing the important steps we have taken on the way to the Metaverse as humanity will be very eye-opening for the future. For this reason, the article examines the 40-year historical development, milestones, and etymological origins of Metaverse, which has now started to gain a technological and scientific infrastructure, out of science fiction, and sheds light on the past and future of Metaverse.
Metaverse and Decentralization

Metaverse is evolving as a structure that provides three-dimensional access with the creation of various virtual worlds using different technologies. The internet has undergone a comprehensive advancement before the formation of the Metaverse. The transition from centralized systems to decentralized systems played the most significant role in the basis of this change. Information security, power, politics, and the economy are the driving forces of interdisciplinary decentralization. Decentralization gained more importance after it became possible with blockchain technology. Blockchain enables decentralized transactions in many areas. The economic dimension of these systems is at a high level, and cryptocurrencies have started to be used within this framework. Decentralized internet is the most essential requirement for these developments. In this process; new structures are being developed that provide more advanced interaction with internet sites with virtual rooms and three-dimensional avatars. New experiments and applications are constantly being carried out on Metaverse. In the information technology age, every trial and application is brought to the attention of users and developers as soon as possible. Decentralization is behind the rapid development of this process. With the elimination of intermediaries, peer-to-peer transactions become possible, and users can realize what cannot be done before using distributed and decentralized network technology. This enables a very high number of system users to be reached in a much shorter time. In this way, many economists believe that the Metaverse market has a potential exceeding a trillion dollars. Metaverse users will want to protect their personal data that is transfered to this environment and the digital assets. In this sense, decentralized systems provide the user and service providers confidence. Web 3.0 will take information-sharing processes to higher levels with smart contracts, crypto assets, and the token economy. In this chapter, the concept of distributed systems and decentralization is examined from an interdisciplinary perspective. The decentralized Metaverse concept is explained by evaluating the opportunities and possible problems of the decentralized systems.
Metaverse: Transformation and Future of Agriculture

In our world where the population is increasing rapidly and the climatic conditions are changing, the increase in the rate of development and productivity of agricultural production is very important in order to meet the increase in food demand and to eliminate the problem of access to food. For the realization of these developments in agriculture, the use of technology is required to a large extent. Especially in recent years, the rapidly increasing agricultural input costs and the decrease in agricultural income have highlighted the developmental stages of agricultural technology. The process that started from Agriculture 1.0 has reached agriculture 4.0 at the point we have reached. It is predicted that it will continue to progress further after that. The agricultural virtual world, which has emerged thanks to technology, which is widely used in almost every field today, encourages more growers to enter the sector and at the same time causes the need for food safety and sustainable agriculture to be reinforced. In addition, the intersection of virtual and augmented reality in the Metaverse with the agricultural sector brings some opportunities and threats to the agenda. The study aims to evaluate the integration of virtual and augmented reality into the agricultural production process in the light of the development and application phases of agricultural technology. In this context, the possible effects of virtual and augmented reality applications on the communication mechanism between the consumer and the producer; negative and positive effects of practices in the meta-universe on agricultural production processes; whether virtual crop and pesticide applications in the meta-universe are sufficient for sophisticated agricultural production; issues such as the reactions of agricultural production processes to possible changes in the Metaverse and whether the applications in the Metaverse can transform e-retailing of agricultural products into commodity verse retailing, whether a sustainable agricultural transformation can be achieved in the Metaverse are taken into account.
The Relationship Between Blockchain Applications in Financial Markets and Metaverse

Digitalization is considered as one of the most important trends changing the way of doing business. The new developments and technologies supporting digitalization, there are issues such as facilitating data sharing, widespread use of the cloud, virtual/cryptocurrency, smart contracts based on blockchain infrastructure, artificial intelligence, and the internet of things. In addition, factors like the spread of remote work and real-time location services with the impact of the COVID-19 pandemic also supported the spread of new business models and digital applications. The changing business models with digitalization have brought new opportunities and challenges to the financial markets and a transformation has taken place in financial services in this context. In this paper, this transformation will be discussed in the context of relationship with the metaverse ecosystem.
Risk-Aware Motion Planning for Very-Large-Scale Robotics Systems Using Conditional Value-at-Risk

The field of Very-Large-Scale Robotics (VLSR) has garnered significant attention due to its ability to tackle complex and coordinated tasks. However, current motion planning methods for VLSR face challenges related to scalability and ensuring safety. To address these limitations, we propose a novel risk-aware motion planning framework for VLSR. Our approach formulates a finite-time optimal control (FTOC) problem based on the macroscopic state of VLSR and incorporates conditional value-at-risk (CVaR) to avoid collision. We present a systematic approach that leverages the linearized Signed Distance Function to efficiently compute the CVaR of the distance between VLSR and obstacles. Subsequently, we develop an approximation approach to reformulate the nonlinear FTOC as a linear programming problem using the discretized workspace, resulting in computationally efficient online motion planning. Simulations on VLSR consisting of five hundred robots demonstrate the effectiveness of the proposed approach in both computational efficiency and risk mitigation.
AI and XR (AIXR) Marketing in Industry 5.0 or Society 5.0

The impact of artificial intelligence (AI) and extended reality (XR, including virtual reality [VR], augmented reality [AR], and mixed reality [MR]) on marketing in Industry 5.0 and Society 5.0 is explored with systematic literature review in this chapter. AIXR is becoming a necessary aspect of marketing, driven by efficiency, productivity, and innovation. Despite AI's capabilities, the human touch in marketing is preferred due to superior adaptive, creative, and innovative abilities. The use of fully automated marketing systems is limited to specific tasks. This research will benefit both practitioners and academics focusing on AIXR in marketing and is limited by the number of included literature.
A high-throughput and FPGA-based LDPC decoder for continuous-variable quantum key distribution system

The throughput of error correction is one of the main bottlenecks of high-speed continuous variable quantum key distribution (CV-QKD) post-processing, which directly restricts the practical secret key rates (SKR). Implementing the decoder of low-density parity-check (LDPC) codes based on FPGA in limited precision can improve the decoding throughput significantly. In this paper, a high-throughput decoder architecture with limited precision for quasi-cyclic LDPC (QC-LDPC) codes is proposed. In particular, decoding of two typical LDPC codes, with code rates 0.2 and 0.1, for CV-QKD have been implemented on a commercial FPGA. The clock operates at 100 MHZ and the throughput of 1.44 Gbps and 0.78 Gbps is achieved, respectively, which can support 71.89 Mbps and 9.97 Mbps real-time SKR under transmission distance of 25 km and 50 km, respectively. The proposed architecture paves the way for high-rate real-time CV-QKD deployment in secure metropolitan area network.
Does digital transformation matter for operational risk exposure?

Basel Committee recommends banks maintain a capital buffer for operational risk exposure based on business volumes, assuming aggressive actions for quicker business growth could increase risk exposures. We argue that technological innovations expose banks to more operational risk because technology helps increase business volume, but system failure, problems with internal processes, and disruptions from external and internal security threats are inherent to technology. Based on 10 years of data for 264 banks from 43 countries, we find that digitalized banking operation is an underlying driver of operational risk that comes with increased business volume. Banks proactively take more operational risks by increasing cyber spending to tackle FinTech competition in the digitalized economy. Digitalization could generally matter for operational risk exposure, but the natural experiment does not find cybersecurity threats per se could increase operational risks even though cybersecurity appears to be a serious threat to digital banking. The study creates new avenues for future research.