Reviewerly/exHarmony huggingface dataset:
Malicious URL Detection Using Machine Learning

Malicious websites that can hurt users and steal personal information are now a serious problem that requires immediate attention. Machine learning techniques are widely utilized to accurately identify and categorize such websites. These models examine the static elements of the websites to find any potential flaws or hidden exploit code. This study assesses the effectiveness and accuracy of different machine learning models for identifying dangerous URLs. The autoencoder neural network had the lowest accuracy, at 61.50%, followed by the Multilayer Perceptrons (MLPs) model with an accuracy of 85.50%, and XGBoost with an accuracy of 85.35%. The study shows how well machine learning models work at identifying and stopping the spread of harmful websites. This study highlights the significance of using machine learning techniques to protect users from potential harm.
Real Time Image Placement Using Augmented Reality on Mobile Devices

Home decoration is the art of enhancing the aesthetic appeal of a living space. One of the key elements of house décor is picture wall decor. People adore hanging up memories-inspired pictures on their walls. The conventional approach is to visualise the arrangement, frames, and photos before hanging them up. In this paper, different methods have been suggested incorporates augmented reality to change the traditional method. Using this approach anyone can scan the walls using smart phones and place the images on the walls. The wall detection methods that are now available do not offer a very good experience in wall detection and picture positioning. Although high-end devices produce superior results, the objective of this paper is to improve the user experience for devices in the middle of the spectrum. The experiments demonstrates the development of augmented reality applications that can run on low-end ARCore-compatible devices and deliver performance on par with high-end ones.
Enhancing Trust and Privacy in Edge and Cloud Computing Through Blockchain Technology

Edge and cloud computing environment is currently employed in a variety of fields, yet despite their growing prominence and advantages, it faces certain difficulties, including data privacy and trust. Intruder assaults ought to be avoided, and data storage ought to be restricted to authorized individuals only. The majority of methods of authentication use a trusted group to go through the procedure. Consumers and computer systems must both be enrolled with the trusted group to be granted authorization to authenticate other individuals. Because the whole framework is dependent on just one trusted group, in this case, one point of collapse may trigger the whole structure to malfunction, and problems with scalability exist. Blockchain innovation can be used to ensure data privacy and trust in storage and trading procedures. To tackle the problems that continue to arise in current platforms, this work discusses a decentralized method that involves removing the idea of a single trusted group through the implementation of a blockchain framework in edge and cloud computing where any moment an individual or server desires to access the framework, it is not required to enter itself by hand, yet the authorization procedure is executed out autonomously during the framework. The findings from experiments and performance examination show that the suggested design is advantageous and surpasses those that exist in the relevant field.
Cognitive Defense Cyber Attack Prediction and Security Design in Machine Learning Model

Companies of all sizes in today's linked digital world are susceptible to cyber dangers. In this study, we provide a novel approach to cyber defence that integrates machine learning with cognitive defensive techniques to identify and prevent cyber attacks in their tracks. We built three ML models that use cognitive defensive strategies and other cutting-edge security measures like encryption and intrusion detection. A 95% accuracy rate was reached by our models, which is far greater than where things stand right now models. Our work has the potential to have a huge effect since the models we've developed may one day help businesses take a more preventative stance against cyber threats. Our findings may potentially be used to fields outside than cyber security. Overall, our study shows that machine learning and cognitive defense are useful for foreseeing and stopping cyber threats, and points the way toward fruitful future study in this area.
New Storage Techniques and Technologies to Accelerate Camera to Cloud Workflows

Today's media and entertainment content creation workflows present unique data logistics challenges for data management teams. Between barriers to data mobility, challenges to data security, accelerated project timelines, and the industry-wide push to embrace digitally native workflows—a new kind of data storage solution is long overdue. — To overcome these issues, production teams, digital imaging technicians (DITs) and IT Production groups need their data in the right place, at the right time, and with the right accessibility, removing roadblocks in data logistics workflows. — Today's most competitive solutions to data logistics challenges enable customers to pay for high capacity, high performance, highly reliable storage solutions that meet data challenges head on, enabling users to store data anywhere—while only paying for the hardware each specific project needs—and physically transport that data securely to their post-production landing destination of choice for multi-cloud workflows and active archive. From project management and logistics support to highly reliable, S3 cloud storage with a flat-fee cloud import service, this technical paper will explore how partnering with a storage solution provider and embracing a subscription-based, as-a- service model for data management can help data managers accelerate camera to cloud workflows, resulting in cost savings and streamlined content collaboration. — Preliminary research and application results include: — • A short-term data-transfer-as-a-solution (DTaaS) subscription may be only 20% the cost of a storage area network (SAN) expansion — • Transfer content in days, not weeks, saving up to 12-15 hours per week of overtime costs — • S3 cloud storage with predictable cost and no additional fees — In an industry as fast paced as M&E, data storage capacity, security, and mobility should be the least of studios and production companies’ concerns. With DTaaS, IT professionals can trust their valuable content will be available when and where it's needed.
Image stitching based on deep learning

An efficient unsupervised deep learning image stitching algorithm using YOLOv5. The method uses a feature pyramid structure for homography and non-local blocks combined with reconstruction for image fusion. Simulation experiments show that the PSNR and SSIM of the method are significantly improved. The artifacts are significantly reduced.
Video summarization with local and global attention

In this work, we propose a novel framework for video summarization called the Frame and Shot Network (FSNet). Unlike existing supervised video summarization methods that focus on the relationship between frames in videos, we discovered that the correlation between shots is equally significant. Our FSNet comprises of two separate modules, one for calculating frame correlations and the other for shot correlations, both of which incorporate an attention mechanism. To demonstrate the effectiveness of our method, we evaluated it on the SumMe and TVSum datasets. The results indicate that our FSNet outperforms previous state-of-the-art algorithms.
Underwater image enhancement based on residual network and image formation model

Our paper presents a new deep learning-based algorithm for improving the visual quality of images captured by underwater robots. The algorithm is designed to address the common issues of color distortion, low contrast, and lack of detail that often plague underwater images. By leveraging an image formation model, the proposed method is able to eliminate the effects of underwater environmental factors and enhance the color, detail, and overall visual appeal of the images. The performance of the proposed method is evaluated using objective metrics such as PSNR and SSIM, and the results demonstrate its effectiveness in improving the visual quality of underwater images. In addition, the proposed method is found to be computationally efficient, making it well-suited for use in real-time application. The proposed method has the potential to significantly improve the visual quality of underwater images and open up new opportunities for underwater exploration and conservation.
An IoTService modelling approach with the capability of binding to business processes

Internet of Things (IoT) enables traditional systems to evolve into a new form of interaction and integration among people, machines, and things. Process-Aware Information Systems (PAIS), supported by Business Process Management (BPM), can provide programming paradigms for IoT's business processes. However, the heterogeneity and continuity of IoT data make it difficult for traditional PAIS to handle continuous events. One of the keys to solving this problem is to encapsulate the processing logic of heterogeneous, streaming IoT data from different sources in a unified manner, generate business events of interest to the business process, and integrate them into the business process. An event-publish/subscribe mechanism-based IoTService model can integrate IoT events into business processes and enable PAIS to respond to physical world changes. Case studies and experimental research have proven this model's effectiveness and efficiency.
Design of intelligent wheelchair obstacle detection system based on multiple ultrasonic waves

For the problem of obstacle detection of smart wheelchair on horizontal ground, an obstacle detection system was designed in this paper by using STM32 microcontroller which was based on multi-channel ultrasonic. The system mainly includes controller, ultrasonic module, LCD display module, voice alarm module and handle button module. The distance measurement accuracy of the ultrasonic module was improved with temperature compensation and digital processing of the echo signal. The RS485 bus was used to implement communication between the controller and multiple ultrasonic sensors. According to the ultrasonic information, the surrounding area of the wheelchair was divided into ten areas to distinguish the direction of obstacles. The real-time obstacle information was stored in the form of array, laying a foundation for the subsequent intelligent development. The experimental test shows that the designed system can achieve accurate distance measurement in the range of 26cm to approximately 250cm with a relative error of no more than 1%.
THE ROLE OF SCIENTIFIC ACTIVITY OF A HIGHER EDUCATION ACQUIRENT IN THE FORMATION OF THE COMPETENCES OF A MODERN SPECIALIST

The article is devoted to the role of the scientific activity of a higher education applicant in the formation of the competencies of a modern specialist. Due to the high level of competition in the modern labor market, the requirements for future specialists are also changing. Educational reforms have contributed to an emphasis on stimulating the creativity of young people. Higher education fulfills the task of developing general and professional competencies of applicants. The article considers the main tasks of the scientific activity of higher education, its types, forms of scientific activity. The authors note that learning is the main activity of students, but other activities, including scientific activities, will contribute to the acquisition of professional competencies that are in demand on the labor market. The task of the educational institution is to create conditions for the applicant to acquire the skills of research work and learn the methods of scientific research during the period of study. Particular attention is paid to the participation of students in the preparation of scientific projects and grants. Involvement of young people in their development gives them the opportunity to reveal their potential in the creative solution of current problems through the use of non-traditional approaches. An important issue is the motivation of student youth for scientific activity. Effective motivation should be based on the needs, aspirations and desires of students, the main of which are considered by the authors of the article. The authors’ own experience of the professional activity of the authors at the National University “Yuri Kondratyuk Poltava Polytechnic” made it possible to conclude that the scientific activity of its applicants is an integral part of the educational process. The university has created all conditions for the scientific activity of applicants of all levels of education. The article defines the main directions of scientific activity in higher education, the implementation of which contributes to the formation of future specialists’ readiness to independently solve complex problems of a search nature. The results of this study confirm the important role of scientific activity. It develops as much as possible depth of thinking, scientific intuition among applicants for higher education, forms research skills, cultivates the ability to work in a team, which makes them competitive specialists in the labor market.
Quality Assessment of Secondary Level Students using K-means Clustering

In this article, the main focuses on the evaluation of secondary level students. For this purpose, primary data was obtained individually from a few secondary level schools in the district of Purulia, West Bengal. In most school education systems in India, every level of student is evaluated in terms of marks gained in any sort of examination, whether written or oral. In this paper, the assessment procedure is proposed in a different direction. The entire procedure is examined utilizing five factors connected with secondary level students including performance of annual examination. Hence these variables(factors) are placed in a Domain space for analysis using K-Means clustering algorithm and deterministic model for achieving the solution with good outcome. The performance of the students as measured by this approach will be beneficial to those students who are hesitant to talk personally about their shortcomings, which will be recognized automatically by this method.
Wild Life World Game Development, Design and Evaluation Optimization

VR is a kind of computer technology that combines virtual and reality gradually developed and mature in the 20th century. VR uses computers to create a three-dimensional multi-sensory and realistic virtual environment, which gives players immersive feelings during the game. Due to the disaster that many wild animals are facing the extinction of this species, Therefore, virtual reality technology is used to create a 3d stand-alone mobile game to warn and improve players' attention to the current situation of African wildlife. Therefore, this paper will introduce and analyze the concept, creation process and gameplay of the game wild life world developed in this study. In this study, we choose Unity as the game engine of wild life world, which can operate and operate the game more easily. In this study, Houdini is used to produce 3d modeling, and Houdini's rendering function can greatly improve the operation efficiency of the game. In order to enable players to have a more in-depth and immersive experience, this study also used dolby access to add panoramic sound effects to the game, and finally conducted game evaluation and optimization, so that players could summarize and evaluate the game experience.
Analysis of 21-Day Word Grid Learning Method

As a matter of fact, mastering the learning methods in a field can greatly increase the speed and efficiency of learning and improvement in the field. Non-native English speakers develop a foundation for the language by acquiring English words. With this in mind, this paper will explain how a non-native English speaker learns to memorize English words on a large scale, i.e., 21-Day Word Grid Learning Method, as well as explain how to use the "21-day word grid learning method" and how this learning method can help learn English words. This study will present a way to learn to use the "21-day word grid learning method" to help one plan the review time reasonably, so that one can memorize words more reasonably and planned, and greatly improve the efficiency of memorizing English words. Overall, these results shed light on guiding further exploration of learning approaches as well as memory enhancement.
The Influence of Virtual Reality Technology on Modern Art

Since its inception, virtual reality (VR) technology has experienced rapid development. Following the outbreak of COVID-19 in 2020, the utilization of VR technology has increased significantly. In the arts sector, VR technology has brought about substantial changes. This paper aims to explore the current trends and future prospects of VR technology in the domain of art. The article undertakes an analysis of the impact of VR technology on art exhibitions, artistic creation, and art education. Virtual reality provides several advantages in these areas, such as minimizing the risk of damage to art pieces during display and storage, along with the creation of innovative painting techniques and mediums. Conclusively, this paper discusses the potential benefits of implementing VR technology in the art field. Moreover, it examines the challenges and inconveniences faced prior to the adoption of this technology. Overall, VR technology demonstrates promising opportunities for advancing the arts, and further research in this area is warranted.
Approximate global illumination using photon mapping: A review

This paper introduces the two-step process of the standard photon mapping algorithm and a variety of other global biased illumination algorithms using photon mapping that have been proposed in recent years. Since there are many global biased illumination algorithms based on photon mapping, this review is a combination of these algorithms for the convenience of the reader, and the two-step process of standard PM will also be presented in this review to accommodate readers who are not familiar with the field. We will first introduce the specific implementation process and principles based on the two steps of PM, photon tracking and rendering, and then introduce a variety of polarized illumination techniques using photon maps, compare these methods and discuss the advantages, disadvantages, and applicability of each method in detail, and finally give a specific implementation of each method to give readers a clearer understanding of these methods. The final implementation of each method is shown to give the reader a clearer understanding of these methods.
The creative heritage of Alexander Alexandrovich Bogdanov (on the 150th anniversary of his birth). Review of scientific conference

This article is a review of a scientific conference held on November 7, 2023 at the Institute of Philosophy of the Russian Academy of Sciences. The event was dedicated to the creative heritage of Alexander Alexandrovich Bogdanov (1873–1928) and dedicated to the 150th anniversary of his birth. The conference examined various aspects of his creative heritage. A.A. Bogdanov owns the philosophical concept of empiriomonism, which is a development of the ideas of positivism, continuing the empirio-criticism of E. Mach and R. Avenarius, on the one hand, and the Marxist approach in the social sciences, on the other. In addition, Bogdanov substantiated the concept of proletarian culture: in a narrow sense, this concept was organizationally formalized as “Proletkult”, but in a broad sense it can be considered as a new stage in the development of culture, based on the idea of collective labor. It is noted that the most famous achievement of A.A. Bogdanov is his tectology - a universal science of management, which was ahead of its time and became, in a certain sense, the forerunner of such scientific directions as the general theory of systems by L. von Bertalanffy, cybernetics by N. Wiener and synergetics by G. Haken. It is shown that Bogdanov&amp;apos;s ideas remain relevant for modern science and culture, as they offer important concepts for understanding complex systems, social development and interdisciplinary research. Leading researchers from Russian scientific and educational organizations took part in the conference. A wide range of topics related to the philosopher’s scientific and literary creativity were discussed at the conference. The conference demonstrated the importance and relevance of research into the creative heritage of A.A. Bogdanov.
Implementing English Learning Development Using Games in Class X SMAN 20 BATAM: Learning Station

Games are the trademark and unmistakable of the Indonesian country and can possibly be utilized in learning in schools. This study could help those associated with language instruction, particularly instructors and understudies. Educational games could be used by teachers to motivate students to study in a fun and competitive environment. 45 Phase E, or class 10, students participate in this study by playing English games. The instrument utilized in this review utilized Classroom Action Research (CAR) techniques. The information assortment instrument utilized a pretest - posttest which was made in learning station determined to make understudies more keen on its different highlights. This review means to decide the execution of learning station game in further developing tenth grade understudies' English language capability (Phase E-Amazing). This study examines 45 students in the class. On both the pre- and post-tests, the improvement received an average score of 2.28 percent. It was a remarkable accomplishment, especially when you consider the 2.79 percent increase in pronouncing. Reach the determination that the procedure meets the goals in view of the game that was utilized when it was carried out. The game also increased students' motivation because of their participation in the class. It was featured in both the Pre-Test and Post-Test sections.
Inundation Prediction Model Based On Land Use in Krukut Watershed

Purpose: Flooding is a problem in urban areas, particularly in the Krukut watershed. The causative factors are changes in land use, increased land conversion from dry land to watertight built-up land, and reduced water catchment areas. Various efforts to control inundation have been made, but the location of inundation has not been significantly reduced. As a result, a model is required to predict the occurrence of inundation so that it can be anticipated. This study will discuss a mathematical model for predicting inundation in the Krukut Watershed by considering rainfall, land use, and the drainage system.&#x0D; Design/methodology/approach: Researchers gathered inundation data from trusted social media from 2010 to 2020, rainfall data from 2003 to 2018 from the Universitas Indonesia Campus station, and land use data from Citra Landsad in 2019. SPSS was used to analyze the data.&#x0D; Findings: The analysis results show a solid positive correlation with the variable Building Open Area impermeable to inundation. According to the research findings, the inundation area is 0.17 km2. Compared to the EPA SWMM modeling results, the result is 0.21 km2 with a return period of 25 years, with an overall accuracy of 90,91% and a kappa accuracy of 67%. It means that the applied model produces an acceptable level of truth.&#x0D; Paper type: Research paper