Reviewerly/exHarmony huggingface dataset:
Practical Privacy-Preserving Scheme With Fault Tolerance for Smart Grids

In smart grid services, the leakage of crowdsourced consumption data on smart meters poses potential risks of privacy disclosure and data misuse. Existing solutions, which rely on complex encrypted computations, are often impractical for resource-limited smart meters due to their high computation and storage resource requirements. To address these challenges, this paper proposes a practical privacy-preserving scheme with fault tolerance for smart grid services named 3PFT. In our scheme, we employ a masking approach that ensures user privacy preservation on smart meters while consuming minimal resources. Unlike existing masking schemes, 3PFT provides fault tolerance, supports complex data analysis tasks, and mitigates vulnerabilities to key leakage attacks. To achieve these objectives, we incorporate a secret sharing technique into the masking approach, enabling the recovery of the master key using only a portion of the data. Additionally, we design a flexible data aggregation protocol for 3PFT, facilitating the execution of diverse data analysis missions such as load forecasting in smart grids. Furthermore, we introduce a negotiation-based key update method to enhance the protocol’s forward security and alleviate the additional overhead on smart meters. Lastly, we provide a rigorous proof of privacy preservation and fault tolerance for our scheme and validate its feasibility and effectiveness through extensive simulations.
Quantum illumination by combination measurements of on-off and photon number resolving detectors

We propose a coincidence measurement scheme of combining on-off and photon number resolving (PNR) detectors to discriminate the presence or absence of a low-reflectivity target using Gaussian entangled states in a strong thermal-noise environment. We show that, for coincidence counting, it is better to take the PNR detector on a signal mode and the on-off detector on an idler mode than to take the other way, which can exhibit a similar performance of the coincidence counting using PNR detectors.
Pengaruh Pengendalian Intern, Komitmen Organisasi Dan Kompetensi Sumber Daya Manusia Terhadap Sistem Informasi Akuntansi Pada CV. Merapi Kendal Jawa Tengah

The purpose of this study was to determine the Accounting Information System for Cash Receipts in CV. Merapi Kendal, Central Java. The type of research that will be used is associative with a quantitative approach. The population in this study were employees of CV. Merapi Kendal, Central Java, which found 183 people, while the sample used in this study was 40 respondents using purposive sampling technique. The method of data collection through the distribution of the analysis questionnaire used in this study was multiple linear regression&#x0D; The results showed that Internal Control, Human Resource Competence and Organizational Commitment had a positive and significant effect on Accounting Information Systems and the adjusted value of R square in the regression model obtained was 0.816, which means that 81.6 percent of Accounting Information System variables can be explained by the variable Internal Control, Human Resource Competence and Organizational Commitment while the remaining 18.4 percent is explained by other variables outside this study.
Analyzing Bitcoin's Decentralization: Coefficient of Variation Approach and 21 Million Divisibility

Bitcoin, a decentralized digital currency, has received a lot of interest due to its potential to challenge the traditional financial system. This study applies a coefficient of variation analysis with an emphasis on the idea of dividing the entire supply by 21 million to determine the degree of decentralization for Bitcoin. The coefficient of variation is a statistical indicator of diffusion, making it possible to analyze how many Bitcoins different stakeholders hold. We can learn more about the degree of wealth concentration or distribution among Bitcoin users by examining the degree of decentralization using this method. This research calculates the coefficient of variation using publicly available information on Bitcoin addresses and the holdings linked to those addresses. The findings will contribute to the ongoing discourse on Bitcoin's decentralization and shed light on the potential impact of the fixed supply of 21 million Bitcoins on wealth distribution within the Bitcoin network.
Evaluation of Tuberculosis Surveillance System in North Sumatra Provincial Health Office 2022

Tuberculosis Global Report 2021 TB was being the major death caused by one infection agent. Result of health problem analysis in North Sumatra Provincial Health Office, TB was choosen as the first priority with main determinant low treatment coverage TB. The purpose of this study is to know the implementation of surveillance TB system based on system approach and evaluate based on surveillance attribute in North Sumatra Provincial Health Office 2022. The type of research is descriptive with evaluation design. Subject of the research was surveillance TB system has been implemented in North Sumatra and Deli Serdang Health Office District in 2021 with TB officer in Health Office. Data collected by interview with TB officer using questionarre and supported by document study. Evaluation was doing by system approach and based on surveillance attribute. The data interpreted by narration and table. Results of evaluation system component TB in Health Office in Provincial and District obtained that implementation system of TB was appropriate with surveillance guidelines and TB control guidelines by Ministry of Health. Based on attribute evaluation, from 9 attributes Health Office Provincial and Distrcit got 5 attributes with good results means that TB surveillance program was simple, acceptable, good data quality, sensitive, and stable but the surveillance program was not flexible, low predictive value positive, not timeliness, and not representative. Based on the evaluation results, TB surveillance system in North Sumatra Provincial Health Office and Deli Serdang District Health Office has a good system based on input, process, and output. Based on attribute surveillance, its still need some improvements in terms of increasing predictive value positive by doing screening people before TCM examination and analysis of cases by person place and time so the data would be representative and describe the real condition
3 A comprehensive study for recent trends of AR/VR technology in real world scenarios

In recent years, various technology giants such as Google, Snap, and Meta (formerly Facebook) have announced plans to invest resources in Virtual Reality products such as the Metaverse. In the growing field of Human-Computer Interaction, the use of Augmented Reality (AR) and Virtual Reality (VR) for interfacing with the digital world is the natural next step. The pandemic prompted a shift to remote work, thereby reducing commute hours and increasing productivity. This shift has provided an impetus for AR/VR solutions to help overcome the difficulties associated with remote work. There has been an uptick in the use of AR in corporate settings, such as conducting meetings, site inspections, and training employees on complex jobs. Mark Zuckerberg mentioned in an interview that Meta’s upper management must use this technology for all their meetings. Companies such as SightCall have reported they have over “300 enterprise customers around the world performing more than 3 million customer video assistance calls every year”. One of the pioneering trends in AR/VR is its extensive use for gaming. The gaming industry is one of the fastest-growing industries, with 48 % of gaming studios working on AR/VR games. ‘Pokémon Go,’ a hugely successful AR game, had over 1.1 billion cumulative downloads by 2020, and over 232 million concurrent users at its peak. The rise and development of such games are expected to continue in the coming years, and the VR/AR gaming industry reached a staggering $1.4 billion market size in 2021. Niantic, the creators of ‘Pokémon Go,’ has made available a Software Development Kit, which can be leveraged by other developers to build their AR products. Technology giant Nvidia offers a development kit, Omniverse, which can be used by other developers to build AR/VR applications. Such initiatives are likely to further bolster development in this field. Our chapter will strategically focus mainly on recent trends and developments in AR/VR technologies, including the Metaverse, AR/VR in gaming, AR/VR developments, and AR/VR in industries.
Chapter 12 Quantum computing: application-specific need of the hour

In this tech-savvy era, as new technologies are developed every day by researchers and scientists, this also paves way to discover replacements to classical computers. One such advancement is the uncovering of quantum computing. They are brought up to light for the purpose of solving problems and scenarios solved by classical computers but in a more effective way and at least a span of time. The study of quantum computing focuses on finding new ways to compute by utilizing quantum physics phenomena. A qubit, in contrast to a typical computer bit, can be either 0 or 1, or it can be a superposition of both 0 and 1. Quantum theory serving as the base to operate supercomputers is based on two aspects of quantum physics: superposition and entanglement. This quantum computing plays extraordinary roles in different zones of applications such as weather forecasting, logistics, finance, healthcare, and cybersecurity. They are discussed with clarity in this chapter by throwing bright light on these important inevitable topics.
1 Supplementing the Markerless AR with machine learning: Methods and approaches

Augmented reality enhances real-world entities with the addition of relevant digital information. This interactive and engaging technology is incorporating itself into wider areas of technical applications. Although it is still in its evolving stage, it has garnered positive responses from audiences who interact with AR-based systems. Industries like gaming, healthcare, and education are benefiting from various augmented reality implementations. The main focus of using AR is to produce more effective interaction with the physical real world as a template and render a separate scenario above it. Initially, a marker-based system was created to project information from a marked region or image with specific characteristics, leading to multiple marketing and retail services adopting this feature. In these applications, a particular marker is sorted through view and detected to project the AR-related information, which further triggers the application’ response towards the marker. The baseline strategy includes image capture, processing for markers, tracking the results, and final rendering. However, to create more innovative forms of augmented reality, this concept was merged with machine learning to improve on the aspects that do not revolve around only particular markers. Markerless AR features superimposing graphics on the basis of locations, contour, or projection. This led to the exploration of various machine learning-based algorithms to improve the decision-making accuracy for AR applications. The methodology includes understanding the real environment and fabricating designs accordingly without the need to look for triggering markers. This chapter enlists various markerless AR techniques that use machine learning methods to increase the capability and coherence. The focus is to identify approaches used from machine learning algorithms to amplify efficacy of augmented reality applications using markerless services.
5 Methodical study and advancement in AR/VR applications in present and future technologies

Communication has been essential for humanity’s survival since its inception. Five hundred years ago, letters sent through messengers and pigeons were the means of communication with people living miles away from us. Over time, we evolved our ways of communicating, from hearing the voice of the person we’re talking to via telephones to video calls that pushed the boundaries of communication and interaction. Augmented and Virtual Reality have the power to engage individuals in ways never before imagined. This chapter explores the sectors in which Augmented and Virtual Reality are directly impacting communication and how these changes can make our lives easier. Topics covered include the future of AR/VR, AR/VR applications, the AR/VR metaverse, human-computer interaction, and haptic technology.
Hitting time expressions for quantum channels: beyond the irreducible case and applications to unitary walks

In this work we make use of generalized inverses associated with quantum channels acting on finite-dimensional Hilbert spaces, so that one may calculate the mean hitting time for a particle to reach a chosen goal subspace. The questions studied in this work are motivated by recent results on quantum dynamics on graphs, most particularly quantum Markov chains. We focus on describing how generalized inverses and hitting times can be obtained, with the main novelties of this work with respect to previous ones being that (a) we are able to weaken the notion of irreducibility, so that reducible examples can be considered as well, and (b) one may consider arbitrary arrival subspaces for general positive, trace-preserving maps. Natural examples of reducible maps are given by unitary quantum walks. We also take the opportunity to explain how a more specific inverse, namely the group inverse, appears in our context, in connection with matrix algebraic constructions which may be of independent interest.
Exploring the role of multi-scale convolutional operators in behavior sequence recognition

In order to simultaneously calculate the temporal and spatial characteristics of behavior sequence samples, a convolutional neural network recognition model based on a multi-scale convolutional operator is proposed. Firstly, the skeleton vector information in the sequence samples is integrated into a behavior matrix by superposition, and then the matrix is input into the recognition model. In order to explore the role of bone points with different adjacencies in describing human behavior, the convolutional operator in each layer of the convolutional neural network is extended to a multi-scale convolutional operator, and the features obtained by the network are used for classification. Good recognition rates were obtained in the MSR-Action3D dataset and HDM05 dataset.
Fragility of gate-error metrics in simulation models of flux-tunable transmon quantum computers

Constructing a quantum computer requires immensely precise control over a quantum system. A lack of precision is often quantified by gate-error metrics, such as the average infidelity or the diamond distance. However, usually such gate-error metrics are only considered for individual gates and not the errors that accumulate over consecutive gates. Furthermore, it is not well known how susceptible the metrics are to the assumptions which make up the model. Here we investigate these issues using realistic simulation models of quantum computers with flux-tunable transmons and coupling resonators. Our main findings reveal that (i) gate-error metrics are indeed affected by the many assumptions of the model, (ii) consecutive gate errors do not accumulate linearly, and (iii) gate-error metrics are poor predictors for the performance of consecutive gates. Additionally, we discuss a potential limitation in the scalability of the studied device architecture.
Computer Aided Mechanical Mechanism Design for Industrial Design

A mechanism rapid solving method was proposed based on motion mechanism coding aiming at black-box problems of mechanism design from designers. The mechanism was expressed as directed network models and saved as matrices. A mechanism database was built based on network models. A prototype system that could search mechanism units and combine units to achieve some solutions according to input and output conditions was developed based on CAD software. The system could provide schematic diagrams of mechanism for designers to perform evaluation, selection, and improvement. A typical design task test indicated that this method could search out or combine effective mechanism design cases, reduce requirements of designer mechanical design abilities, and improve design efficiency.
Grant support for students of higher education: Successful experience of participation in an international project

The article highlights the successful experience of participating in an international educational and art grant project implemented at the Faculty of Psychological and Pedagogical Education and Arts of Berdyansk State Pedagogical University (Ukraine) during 2021. The purpose and task of the “InArt” project, the peculiarities of its preparation, implementation and presentation of results during participation in the non-commercial educational project for youth “Concept school. University edition” from Edison Space with the support of the United States Agency for International Development (USAID) “Economic Support of Eastern Ukraine”. The students of higher education in cooperation with teachers and graduates of the same university initiated the project. The project is aimed at ensuring the formation of professional competences of a higher education student who knows the methods and technologies of working with students with special educational needs in the conditions of the modern reform of the education system in Ukraine. The results of implementing the “InArt” project carried out in the Laboratory of the New Ukrainian School of the Faculty of Psychological and Pedagogical Education and Arts of the Berdyansk State Pedagogical University, are outlined. The Laboratory is equipped with special equipment purchased with the funds of the grantor. A review of the received equipment and tools involved in the implementation of events and the organization of the educational process of higher education applicants was carried out. This confirmed targeted use of grant funds. Features of using the equipment and tools during lectures, practical classes, master classes, trainings and applying innovative methods and technologies in the practical training of higher education applicants are characterized. These measures contributed to familiarizing students with correctional equipment and the possibility of further use in working with students with special educational needs. The project had a social effect, as the mastered methods, techniques and technologies allowed future teachers to demonstrate greater efficiency, productivity and readiness to work with students with special educational needs already at the stage of training in secondary schools. The project made it possible to combine the efforts of higher education graduates, their teachers and graduates of the faculty, and therefore, contributed to their interaction and professional cooperation. Considering the successful implementation of this project, the recommendations were given to scholars, teachers of higher education institutions regarding the identification of opportunities and prospects for active participation in grant projects and their implementation.
Dnipropetrovsk Academy of Music in the historical coordinates of the educational and artistic space

The article defines the leading integral modes that reflect the process of formation and establishment of musical professionalism in the south-eastern region of Ukraine, which centre is the city of Dnipro. The main stages of the development of the leading educational institution of the region are represented from music classes to an institution of higher education – the Dnipropetrovsk Academy of Music. In 2023, it is going to celebrate the 125th anniversary of its foundation. Moreover, the Academy continues to preserve and promote musical classics and national traditions, as well as support and develop youth’s talents. The author gives the names of artists whose fate is connected with the activities of the educational institution and whose creative and teaching activities have gained recognition in Ukraine and the world. These are the composers such as A.&nbsp;Shtoharenko, I. Shcherbakova, and V. Martyniuk. The most famous performers are I.&nbsp;Patorzhynskyi, M. Sokil, A. Yampolskyi, H. Piatihorskyi, A. Bazhenov, N. Surzhina, S. Kovnir, I.&nbsp;Petrova. The teachers of the Academy are P.&nbsp;Yampolskyi, M.&nbsp;Liberman, S.&nbsp;Hrybanovska, L. Yevsevska, and A. Postavna. The periodization of the process of formation, development and affirmation of musical professionalism in the region is proposed. Namely, the institutionalization of professional musical education, the formation of foundations and the affirmation of fundamental principles took place during the first almost thirty years – from 1898 to the middle of the 20s of the 20th century and reached the peak of development in 1919-1923. The transitional stage is the second half of the 20s-30s of the 20th century concentrated on the synthesis of progressive and recessive dynamics. It was determined by the strategy of Soviet reforms aimed at the restructuring of the educational institution. The rebuilding of progressive development was in the 40-70 years of the 20th century. The gradual formation of an integrated system of professional musical education institutions in the region at the Dnipropetrovsk Music School occurred in the last third of the 20th century – the beginning of the 21st century. The modern innovative strategy of the development of the educational institution from 2006 to the present day is based on the principles of polycentric integration, unity of mastery and creative implementation of various models of artistic and practical activity, stimulation of creative self-expression, and intercultural dialogue communication. Therefore, this defines the immanent specificity of the art educational institution, as well as it is a response to the demands of the postmodern society culture.
Research with Communities: Learning with Experts from Global Community Network

Community Networks (CNs) worldwide are promising low-resource communities new ways of connecting and interplaying with technology. The embedded infrastructures of the CNs are derived from the sociocultural, political, spatial, and economic practices of the people they are built with and the communities they are located in. CNs situated in an area are not only followed by the technical requirements and possibilities of making the networks alive and accessible but are also shaped and moulded by the people and their practices. Community members’ lived experience and awareness of the local knowledge and local practices materialize the network in the situated realities. Yet the knowledge and experiences of the communities are often invisible and not considered in future research agendas for infrastructure and technology developments. In this workshop, we aim to bring together community members from around the world working on the frontlines of CNs as experts to share their local knowledge and experiences of designing, developing, negotiating, and maintaining the network, while opening the space for early career researchers and students to listen and learn from the ground.