Reviewerly/exHarmony huggingface dataset:
Organization of technical students’ project activity in department scientific circles

The scientific circle of the technical university department is the simplest, human conformable and highly efficient form of additional professional education. Great relevance and demand of social pragmatization of technical students project activity in department scientific circles is due to the fact that cumulatively it creates favorable conditions that enable students to acquire knowledge and skills when performing RD, activates and stimulates creative thinking, and enhances the students creative abilities. Organizing students project activity, we must put special emphasis on the choice of the subject to be investigated and the content of the creative project. The general methodological approach requires that the subject of the project be in line with the department scientific school. Individual approach means that the form of the project is chosen by the student independently and approved by his/her scientific supervisor. Freedom to choose both the subject and the content of the project enables the individual to acquire some additional super subject competence that he/she considers vital for future professional career. The prime task of organizing students project activity in the framework of scientific coterie is to let them independently, under supervision of academic staff, study and acquire heuristic and algorithmic methods and techniques required to search for ideas of progressive and science-intense design and technological solutions of the technical objects under development. The students are to study independently existing evaluation criteria and diagnostic tools to monitor and measure test validity of the research for further use of the obtained results in their professional project activity.
Ten years of the Samara Journal of Science: results and prospects

The article is devoted to the 10th anniversary of the Samara Journal of Science, published by Samara State University of Social Sciences and Education. The paper briefly examines the situation with scientific publications published by the university in the first 100 years of its operation, analyzes the prerequisites for the appearance of the Samara Journal of Science, the history of its creation and development, the current state and future prospects. Special attention is paid to such important milestones in the history of the journal as its inclusion in the list of the higher attestation commission and entry into the first category of scientific journals in Russia. The contribution of domestic and foreign scientists to the development of the journal is noted. Statistical information is given about the editorial board of the journal, as well as about the publication activity of the authors of articles, about the geography of the authors (a list of states and cities is provided). The contribution of the journal to the functioning of the scientific sphere of the Samara State University of Social Sciences and Education and to the development of interregional and international cooperation of university employees with other scientists is evaluated. The conclusion is made about the high importance of the publication for the development of biological, historical and pedagogical science not only in the Samara Region, but also throughout the Russian Federation and the countries of the near and far abroad.
English for lawyers: the design of foreign language training

The study deals with the development and design of the foreign language education program aimed for postgraduates getting a Master of Law Degree at Saint Petersburg University of the Ministry of the Internal Affairs of Russia. The research is needed to build relationships across courses while creating and implementing educational programs. The paper analyzes the concepts interdisciplinarity, interdisciplinary education by researchers of national pedagogical science and foreign researchers. It also highlights the characteristics of interdisciplinary education, develops the structure of an interdisciplinary approach to learning a foreign language, and describes the elements of educational and methodological support of the course. It shows the process of the syllabus development as well as the coursebook creation and conducts a questionnaire. The study has shown that an interdisciplinary approach to teaching a foreign language is carried out through the reliance of a foreign language on specialized courses in order to establish significant, from students point of view, links between courses to develop foreign language communicative competence as well as improve professional knowledge through language, particularly, the ability to find, understand, synthesize and use knowledge of specialized courses through English and in English, expanding the professional and personal worldview.
The use of digital technologies in the educational process of basic general, secondary general and secondary vocational education on the example of the study of regional studies (history of the Samara Region)

The development of the information society and the technological development of the Russian Federation poses new challenges for pedagogy. The main trend in the development of modern Russian education is a combination of both traditional values aimed at the formation of patriotism, Russian civic identity, morality, and the digitalization of education. This article discusses the role, significance, and impact on the quality of knowledge of students of digital technologies in the educational process of studying regional studies of secondary general and secondary vocational education (on the example of studying the history of the Samara Region). The authors consider both widely used digital technologies (work in the Microsoft PowerPoint program; use of films; Internet resources; work in the Microsoft Word program) and digital technologies introduced into the educational process. Particular attention is paid to the peculiarities of assimilation of information by students of the considered ICT resources in different age groups. Development and testing of scientific and methodological support of regional history in the educational process, taking into account the use of digital technologies, includes the following aspects: theoretical description of digital technologies; the possibility of introducing into the educational process the study of regional studies; description of the pedagogical experiment.
Development of children’s technical creativity through the implementation of a 3D modeling program in the supplementary education system

The problem of developing childrens technical creativity is not something entirely novel in pedagogical science. The theoretical foundations of childrens technical creativity were laid in research at the beginning of the last century. However, the changing conditions of modern life, where the pace of technological progress is reaching unprecedented levels, and the question of early involvement of future specialists in the interaction with new technologies becomes particularly important, make research on the involvement of children and adolescents in technical creativity relevant. Of particular interest is the activity of extracurricular educational organizations, which are entering a new stage of their development, actively implementing modern teaching and educational technologies, and expanding the number of educational programs in the field of technical creativity. In this regard, the study of issues related to the activities of educational organizations that actively utilize their potential for developing childrens and adolescents abilities in technical creativity becomes a relevant topic of research. The experience of such activities, carried out based on the licensed commercial organization Andromeda, is presented in the materials of this article. It provides the results of an experimental study, which is based on the formation of 3D modeling skills in children and adolescents.
Design and Application of Multi-constraint Flight Test Optimization System

Flight test affects entire life cycle of aircraft and is very important to the development of civil aviation industry. At present, civil aviation industry faces both challenges root in urgency and complexity of flight test. It is of practical significance to study the top-level planning method of flight test tasks and to balance the efficiency and safety of flight test activities under complex constraints. Aiming at the problem of flight test task planning, this paper analyzed its complexity characteristics, established corresponding multi-constraint model, defined the multi-constraint flight test optimization system, and designed its internal function module. The performance of developed system was discussed based on concrete example and proved to be effective and trustworthy.
Three-dimensional path planning of UAV based on SSA and SSO

This paper presents a new algorithm SSA-SO is proposed to solve the path planning problem of UAV when it faces many threats in the mountain environment. Using the parameter setting of the snake swarm algorithm, a fitness function is constructed to compare the accuracy of SO and SSA-SO, simulate the actual scene, set the dangerous area, and obtain the interpolation path according to the optimized nodes. The sparrow search algorithm is divided into early warning and danger awareness, with a ratio of 1:1. Combine these two parts with the snake swarm to update to the new location, and then draw the path obtained by the new algorithm. To evaluate the performance of SSA-SO, MATLAB is used to generate benchmark conditions from a digital model map. The results indicate that in most cases, the proposed SSA-SO is not only superior to the snake optimization algorithm (SO), but also has been tested to prove the effectiveness of the generated path for the real UAV operation.
Study on Smooth Trajectory Planning for Autonomous Navigation of Quadrotor UAVs in 3D Space for Enhanced Target Recognition

For the flight of autonomous navigation quadrotor UAV, non-smooth paths can lead to rapid rotation or flip of the UAV, which causes problems such as target loss and low detection accuracy. In this paper, combining the kinematic and dynamics models of quadrotor UAV in 3D flight, path planning searches for smooth and smooth trajectories to improve the accuracy of target recognition. The improved Hybrid A* algorithm is applied to the 3D path search of the front-end of the quadrotor UAV. The back end performs nonlinear optimization and smoothing of the trajectory generated by the front-end, and the position, velocity, acceleration and angular velocity of each path point of the path planning are nonlinearly optimized to obtain a smooth, robust and safe trajectory. By improving the robustness of the thrust acting on the UAV, the accuracy of the UAV target identification, detection and reconnaissance is ultimately improved. Compared to the fast planner algorithm, the robustness of the UAV fast flight is improved, the smoothness of the path is increased by a factor of 1.1, the target identification accuracy is increased by a factor of 1.15, and the number of missing targets is reduced by 50%. By improving the heuristic function of Hybrid A* and nonlinear optimization of control points at the back end, the quadrotor UAV is able to fly smoothly and stably and improve the accuracy of target recognition.to identify relevant articles in literature searches, great care should be taken in constructing both.
Interference signal recognition processing based on convolutional neural network

Modern wireless communication systems are faced with an increasingly complex electromagnetic environment and are affected by a variety of noise and interference signals. In the communication process, the communicating party can take corresponding anti-interference measures if it can effectively identify the type of interference signals. In order to enhance the correct rate of recognition, the paper applies deep learning to the field of communication anti-interference and proposes a method of interference signal recognition based on complex neural networks. A complex CNN interference recognition network is constructed on top of the existing CNN network and a complex residual network is designed to input interference signals into different network structures. The results show that: the interference recognition algorithm based on feature extraction outperforms the real CNN network; the overall performance of the convolutional neural network complex interference recognition network outperforms the real interference recognition network; the overall performance of the designed residual network is better than several other networks.
Multiple-Stream Model with CNN-LSTM for Automatic Modulation Recognition

This paper presents a multiple-stream deep learning (DL) model for automatic modulation recognition (AMR). The proposed model crosses convolutional neural network (CNN) and long short term memory (LSTM) to extract features from different combinations of representations of received signals and make improvements from GaussianDropout. The results show that the proposed model compared with existing models has higher recognition accuracy for various modulation.
A V-band Mixing Module with High Purity Signal for Frequency Agility Application

Frequency agility technology is developing rapidly in recent years, and signal generation modules are key components in frequency agility test system. A V-band agile mixing module with high purity signal is presented in this paper. Principles, design, simulation, fabrication of source module are described in detail. Input signals of the agile module are 4GHz, 8GHz and 16GHz, and after several times of signal processing, 52GHz-68GHz agile signals with step of 4GHz are output. Parallel coupling line band-pass filters are designed to suppress harmonics and non-harmonics to obtain pure signal; coupling detection circuit are designed to realize power detection. Test results show that non-harmonic parasitism is better than -76dBc and output power is between 0.15dBm and 1.5dBm; frequency switching speed is less than 40ns. The mixing module has the characteristics of fast frequency switching, high output frequency and high reliability. The module has been successfully applied to frequency agility test instrument.
Millimeter Wave Image Recognition and Relative Region Location

To solve the problem of object relatively location in millimeter-wave imaging, a method of semantic location of millimeter wave image region is proposed in this paper. This algorithm combines morphology and artificial intelligence algorithm. It can be compatible with different body image features, and map the actual coordinates of dangerous goods to the equivalent position, which aims to avoid privacy disclosure.
Airborne radar operating status recognition based on the CIB-ResNet2

The traditional way to identify the working state of radar is to extract pulse descriptors from the received electromagnetic signals, and the input vectors are identified by machine learning or deep learning models. This paper proposes a CIB-ResNet2 recognition method, which directly performs spectrum change and recognition of electromagnetic signals based on electromagnetic spectrum sensing technology, without extracting pulse descriptors, extracting the characteristic curve by the circular integral bispectrum (CIB), and input ResNet2 model for identification, the simulation results show that the proposed method can also achieve high recognition accuracy under low signal-to-noise ratio conditions, and the method has broad industrial application prospects.
Bayesian Networks Inference algorithm based on improved Junction Tree Algorithm

The Junction Tree Algorithm (JTA) algorithm is an important inference algorithm in Bayesian Networks (BN). It has a wide range of applications in electromagnetic interference and threat estimation. In order to reduce the complexity of the JTA, this paper proposes Triangulation Optimization Algorithm based on Grey Wolf Optimizer (TOA-GWO) to find the optimal elimination order. In this method, we obtain the junction tree with minimum state space and complete the inference. The experimental results show that the proposed algorithm help to improve convergence speed and obtain junction tree with lower state space values.
Research on the Motion Recognition by Statistical Method Based on RFID Technology

Motion recognition is a popular research topic in recent years, and the corresponding data processing to obtain the motion characteristics is one of the most important parts. In this paper, a statistical method is proposed to process the data obtained by RFID (Radio Frequency Identification) system. After calculating the PDF (Probability Density Function) curves of RSSI (Received Signal Strength Indicator), the power distribution of different motions can be obtained, such as the power value with the maximum probability of occurrence and its corresponding PDF value, the number of peak values. Different actions can be distinguished according to these features.
A phased array radar individual recognition method based on unintentional modulation feature

This paper presents an individual recognition method for phased array radar based on unintentional modulation characteristics. The method firstly models the radiation signals of different phased array radar individuals at different wave positions, then uses wavelet transform technology to extract the unintentional modulation characteristics of signals and uses support vector machine classifier to identify individual radiation sources of signal to be measured. Finally, the results show that the recognition accuracy of the proposed method is greater than 95% when the SNR of the test signal is greater than -7dB.
Kepuasan Mahasiswa Teknologi Informasi Terhadap Kualitas Pelayanan Laboratorium Komputer Institut Shanti Bhuana

In the implementation of learning activities, it is necessary to support good facilities and infrastructure so that they can run smoothly. One of the learning facilities needed is a computer laboratory. Shanti Bhuana's IT Study Program has supporting facilities in improving the teaching and learning service process, one of the facilities provided is a computer laboratory. As a form of measuring the role of the computer laboratory on student satisfaction in developing the learning process, it is necessary to measure the quality of service so that it can support the role and function of the laboratory optimally. In this study, it is explained how the quality of computer laboratory services in improving teaching and learning skills based on criteria that become benchmarks are tangibles, reliability, responsiveness, empathy, assurance, courtesy, credibility, secure, and communication. Data analysis using descriptive statistical calculations. From the results of the research analysis, it was concluded that the overall computer laboratory service was still relatively good, it could be seen from the average of 5 service quality measurement indicators consisting of 14 questions getting an average score of 178.64 indicating that the computer laboratory service was in the fairly good category. From this research, there are still many things that need to be improved, and researchers provide suggestions, such as adding computer tools or equipment and internet access power by optimizing the functions of the facilities and infrastructure that are already available.
Sistem Pendukung Keputusan Pemberian Kartu Indonesia Pintar Berdasarkan Kriteria Kesejahtraan Keluarga dengan Menggunakan Metode Simple Additive Weighting

This study discusses the Decision Support System for Giving KIP (Smart Indonesia Card), based on Family Welfare Criteria using the Simple Addtive Weighting (SAW) Method in Bakunase 2 Village, which does not yet exist and is applied using a computer so that it can simplify and speed up decision making. In making decisions, there are many problems that must be decided by looking at several criteria that must be possessed by students as a condition for obtaining KIP scholarships. The basic concept of the Simple Addtive Weighting method is to find the weighted sum of the performance branches on each alternative and all attributes. Simple Addtive Weighting was chosen because this method determines the weight value for each attribute, then proceeds with a ranking process that will select the best alternative from a number of alternatives, in this case the alternative in question is the feasibility of receiving KIP assistance in Bakunase 2. This study aims to build a system application Decision Support to help students get KIP scholarships. This application is expected to help and make it easier for students to get KIP scholarships.
Based on the Causes of the Opening and Characteristic Space of Different Types of Universities

Nowadays, the contradiction between the shortage of land in the central area of the city and the rapid expansion and development of colleges and universities is becoming increasingly prominent, and the intersection of colleges and universities and cities is becoming closer. Thus, the issue of whether colleges and universities should exist as an independent individual or should be open and integrated with the city has entered the public view. Therefore, this paper focuses on the development process of colleges and universities and relevant background theories, studies the influencing factors and causes of different open mode universities, and deeply discusses their relationship with cities. Taking South China University of technology and Hunan University as comparative cases, this paper makes a comparative analysis from the aspects of traffic characteristics, public elements and management measures, summarizes the advantages and disadvantages of a relatively closed campus and a relatively open campus, and comprehensively extracts the advantages to improve the level and dimension of the integration of University and urban space, resources and personnel, and from the campus boundary, transportation, industry, public resources After combing and summarizing the five perspectives of security management, the corresponding optimization strategies are put forward to create a new universal open campus mode, and provide social, public and spatial development ideas for colleges and Universities under reconstruction or new construction.
Attitudes of Preservice Teachers About the Use of Digital Technologies and the Use of Digital Technologies in Primary Education

This study investigates preservice teachers’ knowledge and skills, use of digital technology and attitudes towards technology in the educational setting. Therefore, the survey goal was to identify the most influential factors for the future use of digital tools in preservice teachers’ pedagogical work. The sample included 85 answers out of 150 sent surveys, which were analyzed descriptively and using statistical methods. Analysis findings pointed to variables of computer use and application of tools in the future use of digital tools. The most influential factors in this context seem to be knowledge and skills about digital tools and attitude towards digital tools. The main findings show that the sample of preservice teachers is a relatively young generation that, uses computer and digital tools frequently and will use digital tools when working with pupils in primary education. The paper’s main contribution is in the identification of influential factors that outline the necessity of implementing digital tools in pedagogical work. The limitations of the research are mainly that only one measurement was performed on the population of all years of undergraduate study of preservice teachers at the Faculty of Education, University of Primorska, Slovenia. In future research, it is necessary to perform further measurements and comparisons between years of study, as well as measurements and comparisons between study programs.