Reviewerly/exHarmony huggingface dataset:
Multi-Layered Interval Search Tree Approach on Radar Identification

Radar identification algorithms used in Electronic Warfare (EW) systems try to match the digitized parameters of radar signal waves with radars data in a pre-prepared mission data file (MDF). In this way, critical information that cannot be understood from the signal alone, such as who the signal belongs to, whether the source of the signal is friendly or hostile, can be obtained from the MDF through past experience and observations. As the number and diversity of active radars and radars in the MDF increase, the number of comparisons, so, the time spent for comparison increases. For time-critical EW systems, the tolerable comparison time is very short. The performance of these systems may also depend on the accuracy of the identification algorithm. In this work, the information about the radars in the MDFs is represented by a multi-layer, as balanced as possible, interval tree structure. The goal is to find the radars in the MDFs that match the incoming signal accurately, while making the comparison process fast. The proposed structures are compared with brute-force and improved brute-force algorithms. Experiments are conducted in terms of performance, memory and accuracy. For a MDF with about 10000 radar modes, the tree methods used up to 50% more memory. On the other hand, they found the correct radars in the MDF about 14 times faster than the improved brute force algorithm.
Detection of Style-Transfer Images Generated Using GAN with Deep Learning models

In recent years, with the development of various GAN architectures, studies on image reconstruction from images have accelerated. It is seen that GAN architectures are used in many different fields from health toe ntertainment sector for many purposes such as image colouring, fake image generation, style transfer and increasing the number of images. In this study, it is aimed to detect fake images created by style transfer using CycleGAN in remote sensing images. Fake and real images are tried to be detected with DenseNet121 , one of the transfer learning models, and voting model, which is an ensemble learning model using this model in feature extraction. It is seen that the proposed model with 98.33% accuracy and 0. 9677 MCC value is better than the 86.10% and 0.7220 values obtained from the classical transfer learning model.
Data Security Storage Scheme For UAV Cluster Based On Distributed Storage

UAVs have been widely used in various fields such as emergency rescue and disaster relief, weather detection, scientific research measurement, aerial surveying and mapping, and military reconnaissance. The concept of unmanned aerial vehicle (UAV) swarm is proposed and used, which solves the disadvantages of a single unmanned aerial vehicle with small load and weak information processing and storage capabilities. UAV swarms integrate computing resources and storage resources through the interconnection of individual UAVs, effectively improving the load capacity and information storage capabilities of unmanned swarms. However, there are many uncertain privacy issues in the use of UAV clusters. UAVs are at risk of being damaged, lost and captured, and the data stored on UAVs will be leaked. Therefore, it is necessary to build a safe storage scheme for unmanned swarm data to ensure that the data of unmanned swarms can be stored and used safely. This paper proposes a UAV cluster data security storage scheme based on distributed storage. Each UAV acts as a storage node to build an interstellar file system for distributed storage and shared files. UAV clusters use this system to encrypt and protect data, redundant fragmentation and distributed storage to realize the concealment and confidentiality of distributed storage and sharing of UAV cluster data. Ensure the integrity of data and enhance the invulnerability of safe storage of UAV cluster data.
Building a Vision-Based Mixed-Reality Framework for Autonomous Driving Navigation

Testing autonomous driving algorithms on mobile systems in simulation is an essential step to validate the model and prepare the vehicle for a wide range of (potentially unexpected and critical) conditions. Transferring the model from simulation to reality can be challenging because of the reality gap. Mixed-reality environments enable the evaluation of models on actual vehicles with limited financial or safety risks. Additionally, by allowing for quicker testing and debugging for mobile robots, it could reduce the system's development costs. This paper presents a tentative work for an autonomous navigation framework based on RGB-D cameras. We use an augmentation approach to represent the objects in two contexts in a single environment. The first experiments use KITTI dataset, and then the capabilities of our system were tested on real data by extracting depth maps from the ZED2 camera. Finally, we assess our fusion process by using a pre-trained object detection model.
CERT-UA assessment based on the CSIRT ENISA Maturity Model

Cybersecurity threats are steadily increasing in today's world, which is characterised by increased openness and integration into the global network. The proliferation of cyber incidents, including hacker attacks, confidential data leaks and information theft, is becoming an extremely pressing issue in this context. Accordingly, the eradication of these threats requires the development of effective methods of responding to cyber incidents. The central theme of this article is to consider the critical importance of assessing and improving the effectiveness of cyber incident response teams. The structure of such a team, including cybersecurity specialists, network engineers, analysts, etc., is aimed at identifying, analysing and overcoming threats in cyberspace. The key aspects of assessing such a team, like abilities, experience, communication skills and level of cooperation, are presented clearly through the prism of the updated ENISA CSIRT Maturity Model. The article uses the Computer Emergency Response Team in Ukraine (CERT-UA), a national team operating under the leadership of the State Service for Special Communications and Information Protection of Ukraine, to illustrate the methods of assessing a cyber incident response team. The assessment of the team, based on the ENISA CSIRT Maturity Model, points to key aspects that determine its effectiveness. The paper provides a clear view of the process of measuring cyber incident response teams through a systematic approach that identifies their strengths and weaknesses. The maturity analysis of the CERT-UA provides recommendations for further development of the team, which can be an important resource for academics, cybersecurity experts and government officials interested in improving the effectiveness of cyber threat response. It highlights the importance of assessing cyber incident response teams to ensure cybersecurity and information protection. Awareness of this issue contributes to continuous improvement and readiness to respond effectively to growing challenges in the modern digital environment.
EFFECT OF SERVICE QUALITY ON SATISFACTION OF ENROLLEES OF PRIVATE HMOs IN GENERAL HOSPITALS WITHIN ABUJA METROPOLIS

This study examined the effect of service quality on the satisfaction of enrollees of private HMOs in general hospitals within the Abuja Metropolis. Specifically, the study x-rayed the individual impact of reliability, assurance and empathy on the satisfaction of enrollees of private HMOs in five general hospitals within Abuja municipal area council (AMAC). The study adopted a survey research design. The study population includes 3447 enrollees of private HMOs of five General Hospitals. A study drew a sample size of 482 using the Taro Yamane sample size determination technique. The hospitals included Asokoro General hospital, Gwarinpa General Hospital, Kubwa General Hospital, Maitama District Hospital and Wuse District Hospital. A five-point Likert scale type of question was used to collect data for the study. The reliability of this instrument was measured using Cronbach's alpha. The spearman rank correlation coefficient was used to analyse the data and test the hypotheses. The result of the study revealed that reliability, assurance and empathy have a positive and significant relationship with enrollees' satisfaction within the area covered by the study. From the findings, the study concluded that providing high-quality services characterized by reliability, assurance, and empathy is imperative for the success of any organisation in this era of globalisation and competitiveness. Thus, the study recommended that if the HMOs desire to survive and improve enrollees' satisfaction, it is imperative to continually investigate the existing service quality, particularly on dimensions of reliability, assurance and empathy.
ARCHITECTURE OF THE NATIONAL SYSTEM OF HIGHER EDUCATION: PROBLEMS, TASKS AND NEW OPPORTUNITIES OF ECONOMIC EDUCATION

The article describes the new national system of higher education of the Russian Federation — its architecture, structural features and differences from the Bologna education system. The pilot project implemented by are being considered. Suggestions were made to improve the training of graduates of economic specialties. six leading universities of the country, its timing and expected results
TO THE QUESTION ON THE FORMATION OF A NEW NATIONAL SYSTEM OF HIGHER EDUCATION

The article presents measures within the framework of the ongoing reform of the Russian higher education system, which are aimed at building logic and continuity at all levels of education, improving federal state educational standards, strengthening integration with the labor market and forming a unified and high-quality educational area in Russia.
Fragments of the history of the Optical Faculty and the Institute of Optics NIIGAiK-SGGA-SGUGiT: organizational, technical and scientific aspects

The historic material, characterizing the main content of the Optical Faculty and the Institute of Optics development as part of NIIGAiK–SGGA–SGUGiT, discovers the organizational, technical and scientific features of each period of development of this structural unit. The background, content, staffing and results are shown. The article contains specific information official publications and eye-witness accounts.
The method of transformation of three-dimensional positions of points between geocentric and reference coordinate systems for regional territories

A technique was developed for converting three-dimensional positions of points for regional territories between geocentric and reference coordinate systems (RCS) by matching the Helmert parameters with the geoid height model for the reference coordinate system and the three-dimensional positions of points in both SC. The technique is based on replacing the quasigeoid height model to the EGM2008 geoid height model transformed for reference coordinate systems. For regional territories, the accuracy of determining the Helmert parameters and the accuracy of transformations of coordinates and heights of points at the level of accuracy of the positions of points in the general and reference coordinate systems is ensured. Examples of calculations of the agreed Helmert parameters with the transformed elevation model of the EGM2008 geoid between the reference coordinate system SK-95 and WGS-84, SK-42, GSK-2011 for the territory of the Novosibirsk region are given.
Multimedia data-concealing method on characteristic pictures using convolutional neural network

Images are now classified using picture steganography. A compelling image's attributes can change when it is sent across an unreliable open system. Information disguise incorporates the important message into everyday mediums, including images, audio, video, and text. Primary media relay the main message. The media approach should not undermine the main message. We retrieve the sent key message. Use perplexing surfaces to confirm message obscurity. Safe hashing verifies ROI's cryptographic hash output (SHA). The discrete wavelet transform will add hash esteem (H) to RONI. Automated guidelines pick complex surface placements. The hash value increment demonstrates the validity of the image. The hash capacity would not match if altered. A changed natural image is pumped into a conventional-looking image using spatial bidirectional steganography. Convolutional neural network (CNN) technology was used for the secret message concealment during this transmission. Complex texture areas aid object detection rules. Steganography recovered the block's message. The algorithm improves accuracy in experiments. The exploratory study found the technique promotes vigour, lust, and security.
Graphical solution to Dijktra’s algorithm using Swing in Java

The search for new possibilities for graphical user interfaces has turned out to be a very important part of the software, not only for functional reasons or for using the application to fulfill the slogan of an intuitive task, but also because it has been demonstrated at times. Dijkstra's algorithm uses a data structure to store and query partial solutions ordered by distance from the beginning. Development giants spend a lot of resources creating more elegant and intuitive user interfaces for their products, because they have experienced firsthand how useful, well-designed software can sometimes fail when its GUI fails. Dijkstra's algorithm is an algorithm used to determine the shortest trajectory from a certain point to any other point on a graph. In the course of the work, it was possible to generate an application that graphically solves Dijkstra's algorithm. Compatible with Windows, Ubuntu, macOS operating systems using Java programming language. This application serves as a guide to understand concepts related to graph theory and understand how Dijkstra's algorithm works, as well as topics related to object-oriented programming.
OPTIMIZATION AND PERFORMANCE ANALYSIS OF THE 30-BIT FIXED-POINT DIGITAL FORMAT

The 32-bit floating-point format (FP32) is standardly used for digital representation of data in computers, providing high quality of digital representation in a very wide dynamic range of data. However, the FP32 format has a very high computational complexity, requiring the use of expensive and powerful hardware, as well as high energy consumption. Hence, the implementation of the FP32 format on devices such as smart sensors, embedded and edge devices that have limited hardware resources becomes very problematic. On the other hand, the fixed-point format has significantly less computational complexity, consumes less power, requires less area on chip and provides faster calculations than the floating-point format, being much more suitable for implementation on devices with limited hardware resources.The main goal of this paper is to find a fixed-point format that will be a good replacement for the FP32 format, in the sense that it provides the same performance as the FP32 format and at the same time significantly reduces the computational complexity. Therefore, the paper considers the 30-bit fixed-point format, optimizes the value of its parameters and evaluates its performance, using the analogy between the fixed-point digital representation and uniform quantization. As the main result, the paper shows that the 30-bit fixed-point format can achieve a better quality (i.e. higher SQNR) of digital representation for 3.352 dB compared to the FP32 format, saving at the same time 2 bits per each piece of data (which can be a significant saving for a large amount of data) and significantly reducing the complexity of the implementation. Therefore, the proposed 30-bit fixed-point format can be successfully used as a replacement for the FP32 format on devices with limited resources.
THE EFFECT OF INTONATION ON READING COMPREHENSION DURING READING ALOUD THIRD SECONDARY LEARNERS PREPARATORY AS A MODEL

In this article, we discuss the role of intonation in developing the performance and comprehension abilities of learners: Performance by tracing the positive impact of prosodic reading in general, and intonation in particular, on the learners’ reading aloud, which some learners often find difficult and repel them in order to avoid making mistakes in front of the teacher and peers. And comprehension by tracing the impact of this prosodic feature on improving the reading comprehension skill of these learners, and their ability to penetrate into the semantics of the readable text, and thus, moving reading to the level of oral reading achievement coupled with understanding, analysis, taste and conclusion. In order to ascertain the effectiveness of this prosodic variable didactically (reading), we conducted an experimental field study in this regard, during which we dealt with a sample of the third secondary preparatory learners by dividing them into two groups: a control group and an experimental group, using the statistical method (SPSS) to read the most important results of this study will be presented at the end of the article
The online testing and evaluation in the higher education

The aim of this secondary research paper is to evaluate, analyze, and synthesize the research results of the articles on the online assessment in higher education from the perspective of standards-based administration. As a literature review article, the research method is to search, select, and write a systematic narrative review of the literature from the main research topics and results of the collected articles. The selection of different topics from the existing online evaluation studies is based on the qualitative criteria. The main focus of the study is the topics on stakeholder's perceptions of the online testing and assessment, the validity and reliability of online exams, as well as the forms and methods of the online testing and assessment commonly applied in universities. The findings of the study help educational administrators and lecturers refer to the effective and appropriate online assessment forms in higher education and also know how to solve problems of the online evaluation to ensure that the assessment process is compatible with the training program, teaching content and methods, and learning outcomes in order to motivate learners and teachers to actively participate in and support the online evaluation.
IMPROVING THE STUDENTS’ LISTENING COMPREHENSION BY USING DISCUSSION WITH AUDIO-VISUAL MEDIA (VIDEO)

This research focuses on the use of audio-visual media (video) to improve the students' listening skill for the seventh-grade students of SMP PGRI Curug in the academic year of 2019/2020. Aim of this study is to find out whether the use of audio-visual media (video) can improve the students‟ listening skill and how far the improvement in students listening skill by using audio-visual media (video). The method of this research is action research. The technique of data analysis is qualitative research. Each cycle comprises planning, acting, observation, and reflecting. The researcher stated that there is an improvement of students‟ listening skill using audio-visual media (video). It can be seen from the number of students who pass the passing grade (KKM) in cycle I and cycle II. The passing grade is 70. The result of a listening test in a pre- cycle without using video got an average score of 64,80 or 33 % of students to get a good score or the passing grade (KKM). In the cycle, I, the result of the listening test using video, got an average score of 71,07. or 66 % of students get a good score or the passing grade (KKM). The students were easier to listen to. Although they still found it difficult to focus while watching a video. The result of the listening test got better in cycle II. The students were more understanding in doing their activity using video. In this cycle, they got an average score of 76,93 or 100 % of students to get a good score or the passing grade (KKM).
ANALYSIS OF THE EFFECTIVENESS OF COMBINING THE ROLES OFSCRUMMASTER AND PRODUCT OWNER INSCRUM-TEAMS

Over the past decade, agileapproaches, including Scrum, have become increasingly used in other spheres of human activity. Due to the peculiarity in the management structure of IT organizations, namely the possibility of personnel career growth in the models “junior-middle-senior”or “tech-lead-team lead-project manager”, there is a temptation to combine various project roles in the work activity. Leadership positions are often held by people who were very recently technical specialists and, for the most part, did not receive special training as management personnel. The article discusses the issue related to the possibility of combiningthe functions of the scrum master and the product owner when implementing projects using Agile. The application of the logic of the role model of the manager according to I. Adizes is considered, as well as the correspondence of the roles of the scrum master andthe product owner to the elements of the PAEI profile. It is proposed to consider such a characteristic of an effectiveproject team as self-organization from the point of view of group dynamics and the need to distribute roles among team members.The paper puts forward a hypothesis about the need for both managerial training of project team members and the importance of studying soft skills, skills that are associated with the foundations of organizational and social psychology.
Gesture Controlled Robot Car

Abstract: A noteworthy achievement in automotive technology is the creation of an automatic hand gesture-controlled robot that can operate and control a variety of car operations. By enabling drivers to keep their hands on the wheel and their eyes on the road, this technology improves driver comfort and safety by lowering distractions, increasing driving focus, and lowering the chance of accidents. It is especially useful in circumstances where quick access to particular functions is necessary. Additionally, the technology encourages accessibility for people with physical limitations, enabling them to drive independently. However, precision and dependability are essential for a successful implementation, and user education are required to guarantee that drivers comprehend and use the movements the system detects.The automatic hand gesture-controlled car system shows promise in enhancing convenience, safety, and accessibility, but further research and development are needed to improve accuracy, reliability, and user-friendliness.
Survey on Unite Gymnasium Web Application for Daily Routine

Abstract: Now a days many people are moving towards healthy life. So, the demand of health club is increasing day by day. But also, day by day work stress is increasing. People face problems while traveling for long time. So, fitness becomes a problem to maintain health. The paper aims to solve all these problems by integrating all gym access on one platform. With the help of United Gymnasium, registered members can get an access to registered gyms at any location. And he can also check whether the gym is empty or full. The user only needs to scan the QR code of the gym which is given by United Gymnasium. The member's entire routine will then be shown to the gym and the member will be able to perform physical exercises.