Reviewerly/exHarmony huggingface dataset:
Bibliometric Analysis of Fraud In Small and Medium-Sized Enterprises

Fraud has become a worldwide issue that threatens the sustainability of organisations of all sizes.However, there are issues on the disintegration of frauds towards certain disciplines.The goal of this study is to create a meaningful single-source reference for accounting scholars concerning fraud in small and medium enterprises.This study aimed to: (i) evaluate the trend of research on fraud in SMEs, (ii) determine key areas in fraud research, and (iii) identify the major players in fraud research.The study employed a bibliometric method to describe and analyse data on 72 works related to fraud.The data was retrieved in August 2021 from a Scopus database.The study employed VOSviewer and Harzing Publish or Perish software in visualising and integrating the data, respectively.The study also analysed data using Microsoft Excel.Findings showed that research on fraud was started as early as 1989.The early development was very slow which caught only the attention of scholars from the West especially the U.S and the U.K. The number of publications started to evolve in the year 2004.The analysis revealed that the Journal of Financial Crime published the most articles related to fraud in SMEs.Nevertheless, the list of the 20 most cited papers reflects that there is still a scarcity of studies in this field.Since the study confines on papers published in the Scopus database only; hence, the representativeness of 'fraud n SMEs' research is considered moderate.This bibliometric study can be a stepping stone in complementing meta-analysis and structured literature reviews.
Research on General System of Remote Sensing Satellite Data Preprocessing Based on MPI + CUDA

Aiming at the shortcomings of the existing remote sensing satellite data preprocessing system, such as slow speed, weak universality, poor scalability, weak automation and unfriendly interface, a visual and self customized general system for remote sensing satellite data preprocessing process based on MPI + CUDA is designed. Based on MPI + GPU, CUDA technology is used to realize the accelerated processing of various services in two levels in parallel, Greatly improve the system processing efficiency. A three-tier system architecture is adopted to solve the problem of dense coupling of the original system. The business modules of the data layer are implemented based on WCF (Windows communication foundation) to improve the scalability and portability of the system. Automatic preprocessing of satellite data based on WWF (Windows workflow foudation). The visual editing of processing flow is realized through WPF (Windows Presentation Foundation), which provides users with a friendly interactive interface.
Three Camera Lens Distortion Correction Models and Its Application

Due to the manufacture errors and assembly errors of camera, there are different degrees and types of lens distortion seriously affects the use of camera. Therefore, the camera calibration is the necessary work in photogrammetry. Self-calibration technology is convenient and flexible, which is widely used in camera calibration and has become an important research direction in photogrammetry and computer vision. After long-term development and research, self-calibration has become an important technical core in camera calibration, and the establishment of self-calibration model is the key to ensure high-precision photogrammetry. Three common lens distortion correction models&#x2013;Brown model, quadratic polynomial model and binary Fourier series model are mainly discussed in this paper. The nonlinear least squares iterative method is used to solve the collinearity equation with additional system parameters. The parameters of the distortion correction model are obtained while solving the elements of interior orientation in the image. The compensation effects of the three models on lens distortion are compared by experiments, and the reliability of the solution of model parameters is verified. The experiment shows that the maximum residual of image point and the norm of residual vector are the smallest when the Brown model is used to compensate the lens distortion. The fitting accuracy of the model for the observed value of image point is the highest, and its accuracy can reach 1$0^{-6}$m.
Book review: P. Martino, Blockchain and Banking: How Technological Innovations are Shaping the Banking Industry

P. Martino, Blockchain and Banking: How Technological Innovations are Shaping the Banking Industry, 2021. Switzerland: Springer Nature, 109 pp., ₹6,468 (Paperback). ISBN: 978-3-030-70969-3.
Air Canvas: Draw your imagination

On-air writing has been the most bewitching, energizing and exiting area in the province of image processing, computer vision and pattern recognition from past decades. It comes up greatly in the development of the mechanization process and can ameliorate the interaction between humans and machines in many systems. Many research projects have focused on innovative methodologies and approaches that can diminish processing time while contingenting high accuracy of recognition. Tracking an object is contemplated an important function within the bounds the province of Computer Vision. Digital crafting refers to the form of speech and the transmission of art in digital form. Anticipating on modern technology and modern science are different aspects of digital display. Here comes the Air Canvas, The Air Canvas introduces a digital touch screen with a finger gesture.
Automatic Attendance System through Facial Recognition using Deep Learning

Due to a large number of students in the schools and colleges most of the time teachers are not able to monitor on the attendance of the students. This may create the problems to both students and teachers in the end of the year or semester. The manual handling of all these can take much more effort in making the students to attend the classes regularly and also to intimate their parents on the valid interval of time. So to make this system more efficient and thereby to increase the productivity of the college or the school proposed system uses the automatic attendance system, where the proposed model takes the input from the staff regarding the attendance details and facial images of the students, then the system trains a Convolutional Neural Networks that have been deployed specifically for the facial recognition purpose. This trained model is then utilized for the purpose of achieving the identification of the student’s faces through the test image and the decision making approaches for the marking of the attendance. The methodology has been subjected to the evaluation for the accuracy of facial recognition which has resulted in highly accurate outcomes.
Character of ore fluids in the eastern part of the Dachang ore district, south China

The Dafulo, Huile and Kangma black shale - hosted stratabound and stockwork type cassiterite-sulfide deposits occur in the eastern part of the Dachang ore district. Fluid inclusion data indicate that cassiterite-sulfide ores of the main sulfide stage (Stage II) originated under temperatures up to 390°C at Dafulou and in a temperature range of 230 to 360°C at Huile and 260 to 370°C at Kangma from aqueous - carbonic fluid (CO2/CH4 = approx. 10). The data are consistent with that of distal skarns obtained by Fu et al. (1993) from the central part of the district.
Bitcoin powers on

Cryptocurrency mining continues to consume increasing amounts of computer power, despite a drop in prices, reports Matthew Sparkes
Quantum-safe encryption delayed

Hitch for new security methods to keep data secure when quantum computing matures
Design of English Writing Assessment System Based on AI Technology in food and agriculture sectors

At present, the ability of distinguishing words in intelligent composition evaluation system is poor, which leads to poor evaluation effect. Aiming at this problem, this paper puts forward the design of English online writing automatic evaluation system based on artificial intelligence technology. The hardware structure of the system is constructed and stored in MySQL database after processing. The user sends the submission request to the system by clicking the "I want to submit" button. After receiving the request, the teacher user starts to approve and score. Under the support of security mode, the hardware module design is completed. Based on this, we use the artificial intelligence technology to design the topic words automatically. The experimental results show that the system has good repair effect, high evaluation efficiency and good evaluation effect.
Payment Information System For Acceptence New Students Using Virtual Account

With the development of information technology that is so fast today, inevitably all aspects of life, including educational institutions, must follow. The university has also started implementing new student admissions through online media, from the registration process, payments, entrance tests and announcements of being accepted or rejected. In its implementation, find obstacles, how is the payment system? if you use a transfer, it's hard to tell which one pays the registration fee and the others. After discussing with the leadership, marketing team and the bank, it was decided to use the virtual account (VA) method.&#x0D; The author then analyzes and designs an online new student admission payment information system using the virtual account (VA) method. The case study adopted in this study at the Merdeka University, Surabaya. Previously, new student admissions were carried out directly on campus, but in the current pandemic season, it is not possible for prospective students to come to campus considering the danger of covid is still very dangerous. Therefore, it is very appropriate if at this time Merdeka University Surabaya had to change the system from prospective students registering to come to campus using online media.&#x0D; The method that the author uses in making this application with the waterfall, starting from the study of literature, analysis, design and implementation of the program. For registration and entrance test, the author uses web media and for payment processing the author uses the virtual account (VA) method.
Smart Video-Based Threat Analysis and Detection using CNN

In recent years, more and more video surveillance devices like drones, CCTV's have been deployed due to an increase in demands related to public security and smart cities. There is a need to overcome the existing drawbacks of post-investigation techniques of video surveillance systems by providing a pre-alert generation system. The video surveillance system has become an important part of the security and protection of modern cities. So we are going to focus on video surveillance by giving video contents containing early fire events detection, suspicious activities and smart parking systems, and crowd estimation. Smart monitoring cameras equipped with intelligent video analytics techniques can monitor and pre-alert systems by capturing suspicious activity and events. Our work is based on deep learning techniques for video analysis with better performance and event detection with the advantages of alert generation.
Fake Product Review Detection and Removal System using NLP

Fake review detection and its elimination from the given data set using different natural language processing techniques is important in several aspects fake review dataset is trained by applying two different machine learning models to predict the accuracy of how genuine are the reviews in a given data set. The fake review problem must be addressed so that these large ecommerce industries such as amazon, Flipkart, etc.
THE ROLE OF COMPOSERS AND CONDUCTORS IN THE PROCESS OF YOUNG CHORISTERS’ MUSICAL DEVELOPMENT

We can influence the development of children’s musical and cognitive capacities as well as the increase in their general perceptive capacities by means of singing. Conductors and composers who create music literature for children significantly influence their musical development along with the development of their musical sensitivity. They must, however, be aware of the physiology of children’s voice apparatus, emotional development, and the shaping of voice and aural capacities within the age groups they deal with. An important element is also the collaboration of a conductor and a composer during the process of creation and preparation of a piece featuring a children’s choir. The author describes how children’s voice, musical and cognitive capacities develop during subsequent periods of their musical development, what differences there are in the structure of voice apparatus in adults and in children and what results from these differences, she also touches on the issue of a child’s voice range. Moreover, she outlines how, thanks to cooperation, a conductor and a composer may contribute to the improvement of music competencies in children. She then pays attention to what a composer should take into consideration while writing music for children depending on their age in order to help them shape their musical talents, and to the fact that by creating relevant children’s repertoire he can influence the shaping of a child’s personality. The author also writes what a conductor should be guided by when choosing the repertoire and constructing vocal exercises for working with children, plus how he can make his classes attractive and thus interesting for children. To conclude, she makes readers reflect on what qualities people working with children should cultivate in themselves as they are the ones that often determine the future of young singers. Keywords: children’s choirs, youth choirs, a child’s vocal apparatus, vocal apparatus development, choir compositions for children, work of a conductor with children’s ensembles.
Deterministic Gaussian Filtering based on Herding

In nonlinear recursive Bayesian state estimation, it is in general intractable to maintain the exact posterior density for the state. In order to obtain an approximate solution, it is common to (re-)approximate the posterior density with a Gaussian density. In this paper, we investigate the use of deterministic samples generated by herding in Gaussian filters. Herding is a (relatively) computationally cheap procedure to sequentially generate deterministic samples from probability density functions. We demonstrate the practicability of herding in sample-based nonlinear Kalman filters and Gaussian particle filters in two challenging tracking scenarios.
Research on integrated surface-internal three-dimensional automatic deformation monitoring device for slope

Deformation is one of the most significant forms to reflect slope stability. The existing slope deformation monitoring is mainly completed by setting surface deformation or internal deformation monitoring items independently, mainly resulting in a complex measurement process, large cumulative error, and manual data correction. The surface Global Navigation Satellite System(GNSS) technology combined with the internal Micro Electro Mechanical Systems(MEMS) monitoring technology and the new embedded system are used to develop a surface-internal deformation integrated automatic measurement device, which can achieve truly all-round and effective monitoring. The data are checked with each other, and the actual operation of the slope will be more accurate and reliable.
Research on the design of solar energy architecture in rural areas

As solar energy-saving technology has been widely used in the field of architecture in China, it has gradually become an important part of architectural design. Due to the high operating cost of solar energy-saving facilities in the later stage, the frequency of use in rural housing is lower than that in cities. With the development of society, the demand of rural population for the quality of life is increasing day by day, the problem of building energy consumption has become an issue that needs to be paid more attention to. Taking the innovative practice project “Research on the Integration of New Rural Construction and Solar Energy Building” for college students of North China University of Technology as an example, according to the existing rural conditions and energy-saving technology, from three aspects of design concept, plane layout and technology application, this project integrates the design content of active and passive solar energy-saving facilities, further explores the future rural building design, also provides a new idea for the design of energy-saving buildings.
Improving the Performance of Multi-Label Classifiers via Label Space Reduction

Multi-label classification is related to the problem of learning a predictive model from examples that may be associated with a set of labels simultaneously. The learning process in datasets with large label spaces turns into a really challenging task since the computational complexity of most algorithms depends on the number of existing labels. This paper proposes a methodology for reducing the label space a predefined percentage of labels, with the aim of improving the runtime of the multi-label algorithms without producing a significant variation in the predictive performance. The experimental analysis demonstrates a drastic reduction in runtime, while proving that in many cases, the reduction of the label space up to 50% does not significantly affect the performance using four well-known evaluation measures.
Application of Computer Technology in Concrete

As a new scientific design method, uniform design is applied in many fields. However, when processing experimental data, computer technology must be used. This article takes high-performance concrete as the research object, analyzes the application of computers in concrete, and compares and optimizes the design of multiple sets of mix ratios by using multiple technologies. The results show that, as a part of the computer-assisted experiment, computer technology combined with uniform design can be applied to the concrete field, thereby improving the efficiency of designing concrete mix ratio.
Rejigging of the Management and Operations of Student Industrial Work Experience Scheme in Tertiary Institutions in Nigeria: A Case Study of NOUN

In the transition to a post pandemic world, educational institutions are faced with the challenge of helping to build a more responsive and robust education system in the volatile, uncertain, complex, and ambiguous present and future. This requires critical reflection on lessons learned during the pandemic, reimagining the future of higher education as well as institutional directions, and adopting new strategies for development. This session describes a program to build the capacity of Philippine colleges and universities in this important work. // The Sustainable Institution Building for Open Learning (SIBOL) initiative, as it is called, aims to provide participating higher education institutions with training and mentoring in planning, managing, and sustaining blended, online, and open learning (BOL) programs. Phase 1 of SIBOL consists of seven online training modules, delivered synchronously and asynchronously, on planning BOL programs; systems for BOL materials development, technology management, faculty development, and student support; quality assurance; and research and innovation for sustainability of BOL. Phase 2 is a mentoring program for participating institutions as they implement their BOL institutional strategy. This second phase also aims to strengthen institutional collaboration and networking towards building the open and distance learning ecosystem in the Philippines. // In this paper, early findings from the design, development, and pilot implementation of SIBOL are discussed. SIBOL was conceptualized as UPOU’s pilot project under the EU-funded Advancing Equity and Access to Higher Education through Open and Distance Learning (BUKA) project.
If Augmented Reality is Really Effective as a Teaching Tool, Why is it Not Used in Distance Education?

In the past two decades, Augmented Reality (AR) has been increasingly receiving attention within the field of education, providing evidence of the positive impact of AR on the effectiveness of teaching and learning in several disciplinary contexts. Despite the evidence, there is a paucity of large-scale adoption of AR in higher education and no evidence of the deployment of AR in distance learning environments. The evolution of Distance Education (DE) has always been linked to advancements in (educational) technology in ameliorating the transactional distance between providing institutions and learners, supporting learners synchronously and asynchronously, as well as providing educators with tools to increase the effectiveness of pedagogy and use of resources. It is therefore unclear why AR has not been adopted in distance and distributed learning environments. A scoping review focused on establishing the enabling conditions for adopting AR in DE and the results were deductively evaluated. The results of the scoping review did not find any frameworks or models to guide the implementation of AR but pointed out several elements that need to be considered in the adoption of AR. This study resulted in a conceptual model identifying several pedagogical and organisational issues that may affect the adoption of AR in Distance Education.
Vulnerabilities of smart contracts and solutions

In recent decade, blockchain concept was proposed in cryptocurrency, completion of transition without any third party. Today, this concept is being used in all possible applications like e-healthcare, transportation, communication, etc. In general, blockchain technology uses the concept of smart contract to transfer any money to end user. Smart contracts provide efficient performance of credible transactions (trackable and irreversible functionality) without involving third parties. These contracts are self-executing contracts with the terms of the agreement between buyer and seller. Note that smart contracts have distributed, decentralized blockchain network. Some applications of smart contacts are the following: land records, cryptocurrencies like Bitcoin, Ethereum, etc. With this much popularity of smart contract, today we are facing many vulnerabilities on such contract, for example, today&apos;s potential vulnerabilities are nearly 30% on smart contracts (examined by national university of Singapore). It is a critical issue and legitimate (valid) cause for having concern in the blockchain technology and we should take care about such critical issue because people&apos;s money or information are being shared through such smart contracts. In general, security vulnerabilities in software can be fixed by patching, but patching security vulnerabilities of decentralized applications on the Ethereum blockchain is not so straightforward. Due to the immutable nature of smart contracts, it is very difficult to upgrade the already deployed contracts. But, having the availability of smart contract as public, chances of vulnerability are higher on stored smart contracts. Hence, this chapter provides several mitigated critical smart contract vulnerabilities (in the past decade), possible technique to detect vulnerabilities on smart contract, and possible suggestions including opportunity (and research gaps) for future toward protecting smart contract code or agreement.