Reviewerly/exHarmony huggingface dataset:
Nonlinear RF Fingerprints Authentication for OFDM Wireless Devices based on Demodulated Symbols

Radio Frequency fingerprints (RFF) authentication is one of the methods for the physical-layer information security, which uses the hardware characteristics of the transmitter to identify its real identity. In order to improve the performance of RFF based on preamble with fixed duration, a nonlinear RFF authentication method based on payload symbols is proposed for the wireless OFDM devices with the bit mapping scheme of QPSK. The communication system is modeled as a Hammerstein system containing the nonlinear transmitter and wireless multipath fading channel. A parameter separation technique based on orthogonal polynomial is presented for the estimation of the parameters of the Hammerstein system. The Hammerstein system parameter separation technique is firstly used to estimate the linear parameter with the training signal, which is used to compensate the adverse effect of the linear channel for the demodulation of the successive payload symbols. The demodulated payload symbols are further used to estimate the nonlinear coefficients of the transmitter with the Hammerstein system parameter separation technique again, which is used as the novel RFF for the authentication of the QPSK-OFDM devices. Numerical experiments demonstrate that the proposed method is feasible. The novel method can also be extended to the OFDM signals with other bit mapping schemes.
The Creative Skills of Administrative Leaders and Their Impact on Employees’ Job Characteristics in Jordanian Public Financial Institutions

The present study aimed to explore the creative skills of administrative leaders in Jordanian public financial institutions.It aimed to explore the impact of the creative skills of the administrative leaders on employees' job characteristics in Jordanian public financial institutions.To meet the study's goals, a questionnaire was used.Questionnaire forms were distributed to 582 individuals.Several results were reached.For instance, it was found that the respondents' attitudes towards the creative skills of administrative leaders are positive.It was found that the respondents' attitudes towards their job characteristics are positive.It was found that the creative skills of administrative leaders have significant impact on the employees' job characteristics (i.e.variety of skills, task identity, task significance, autonomy and feedback).The researchers recommend developing the creative skills of administrative leaders in financial institutions.That shall improve the employees' job characteristics.It shall improve the performance efficiency and effectiveness of financial institutions.It shall enable those institutions to meet their intended goals
QUALITY OF ELECTRONIC DISTANCE LEARNING IN BULGARIA IN THE CONDITIONS OF THE PANDEMIC CAUSED BY COVID-19 (RESULTS FROM THE STUDY OF THE OPINION OF FORMER LAST YEAR HIGH SCHOOL STUDENTS)

QUALITY OF ELECTRONIC DISTANCE LEARNING IN BULGARIA IN THE CONDITIONS OF THE PANDEMIC CAUSED BY COVID-19 (RESULTS FROM THE STUDY OF THE OPINION OF FORMER LAST YEAR HIGH SCHOOL STUDENTS)
ICT TOOLS AND LEARNING ANALYTICS TOWARDS IMPROVING THE COMPREHENSION AND QUANTIFICATION OF AUTONOMOUS NEUROMODULATION OF CARDIOVASCULAR ADAPTATION IN E-HEALTH AND MEDICAL STEM COURSES

Information about the paper titled "ICT TOOLS AND LEARNING ANALYTICS TOWARDS IMPROVING THE COMPREHENSION AND QUANTIFICATION OF AUTONOMOUS NEUROMODULATION OF CARDIOVASCULAR ADAPTATION IN E-HEALTH AND MEDICAL STEM COURSES" at IATED Digital Library
Penerapan Media Pembelajaran Kartu Permainan Sejarah dalam Meningkatkan Keaktifan Belajar Peserta Didik (Studi kasus pada Kelas X-TKJ SMK Wahdatul Jannah Majalengka)

History is often addressed by most learners as boring subjects. It appears from the passive attitude of learners during the learning process takes place, such as the lack of activity to ask, respond and answer questions from the teacher. Therefore, learning is more on teacher centered patterns, centered on teachers. This is feared to cause misperception-what the teacher tells the learners, so that learners do not fully accept the material well. Such facts encouraged this research. Researchers are trying to improve the learning conditions in X-TKJ SWK Wahdatul Jannah class through the application of historical game card media. The main purpose of this study is to improve the learning activities of learners. Game card game history is packed through group discussions and class discussions. This research is a Class Action Research (PTK), consisting of three cycles. Selection of class X-TKJ SMK Wahdaul Jannah as the object of research dilatari because in the classroom learning process (history) less so interactive, the relationship between teachers with learners. As for the results obtained, the cycle 1 learning activeness of students showed increased learning activeness ranged 54%, cycle 2 learning activeness learners increased 70%, cycle 3 learning activeness learners increased 82%. Thus, the use of history card game media is said to be successful as an effort to improve the learning activities of learners.
Accelerating the Gabor Transform with a GPU for SAR Image Compression

The Gabor transform can be utilized in an algorithm for compression due to its ability to allow the user to isolate high frequency information to filter. This transform can be implemented using FFT's to aid in calculating the Gabor coefficients of a particular image. In the C++ programming language, an open source library exists called FFTW that is able to perform FFT's quickly on the CPU. We sought to prove statistically the hypothetical gain that cuFFT could have computationally over FFTW when performing an FFT. cuFFT does have a bottleneck during the initial allocation of the input, output, and plan for the desired FFT, but with larger images these became less and less impactful. Image compression algorithms using the Gabor transform can benefit in reduced computational time from cuFFT's functions.
Relation of Global Solar Radiation with Temperature, Rainfall, Sunshine Duration and Clearness Index at Western Himalayan Region, Nepal

The global solar radiation is measured at the horizontal surface by calibrated pyranometer at Jumla(29.27°N to 82.18°E, 2514.0m). The effect of different physical as well as meteorological parameters to the intensity of global solar radiation was analyzed. This paper compares global solar radiation with sunshine duration, temperature, and rainfall and clearness index. This paper also explains the monthly, seasonal variation of global solar radiation. The annual average global solar radiation is 18.36MJ/m2 /day which is sufficient to promote solar active and passive solar energy technology at Himalaya terrain Jumla and other similar geographical locations. This novel result can be used for location of similar meteorological and geographical characteristics at which solar data are not available.
Philip Seargeant, The emoji revolution: How technology is shaping the future of communication. Cambridge: Cambridge University Press, 2019. Pp. 231. Pb. £13.

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초 · 중등 학생을 위한 생태학 관련 개념의 지식 체계 및 학습 내용에 대한 델파이 연구

In this study, a Delphi study was conducted with a panel of experts in a domain to propose a knowledge frame for students’ ecological learning and learning contents by school level. The Delphi survey was conducted for three rounds. In the first round, an open-ended questionnaire was applied for the categorization of concepts related to ecology topics and learning contents for each elementary, middle and high school level. In the second and third surveys, the validity of the category of ecology-related concepts and learning contents by school years were determined on a 5-point Likert scale. The results of the study showed that the contents of ecology-related learning could be categorized into ‘organisms ecology and biodiversity’, ‘interdependence in ecosystem’, ‘matter cycles and energy flow in ecosystem’, and ‘ecosystem dynamics’. The elements of ecology-related learning content that should be taught in elementary, middle, and high schools were selected for each category. Using the category for the concepts and the learning contents that emerged during this study, the final model for learning ecological concepts was proposed.
Necessary functions for autonomous mobile robots to plan a path when climbing up/down steps

Recently, the technology of autonomous mobile robots has been actively researched and pratical use of it is expected in various mobility service fields. In a human living space, if a mobile robot move autonomously, it has to recognize the surrounding enviroments and plan a path from the start to the goal. In addition, it is also necessary to deal with obstacles. Especially, in case of a mobile robot with the ability to climb up/down steps, it is required to judge whether it can climb up/down steps and control the entering angle to steps. Our final goal is to propose a navigation system for autonomous mobile robots which can climb up/down steps. This paper reports necessary functions for a global path planning considering climbing up/down steps.
On the Comparison of Gauss and Hybrid Methods and their Application to Calculation of Definite Integrals

As is known there is the wide class of methods for calculation of the definite integrals constructed by the well-known scientists as Newton, Gauss, Chebyshev, Cotes, Simpson, Krylov and etc. It seems that to receive a new result in this area is impossible. The aim of this work is the applied some general form of hybrid methods to computation of definite integral and compares that with the Gauss method. The generalization of the Gauss quadrature formula have been fulfilled in two directions. One of these directions is the using of the implicit methods and the other is the using of the advanced (forward-jumping) methods. Here have compared these methods by shown its advantages and disadvantages in the results of which have recommended to use the implicit method with the special structure. And also are constructed methods, which have applied to calculation of the definite integral with the symmetric bounders. As is known, one of the popular methods for calculation of the definite integrals with the symmetric bounders is the Chebyshev method. Therefore, here have defined some relations between of the above mentioned methods. For the application constructed, here methods are defined the necessary conditions for its convergence. The receive results have illustrated by calculation the values for some model integral using the methods with the degree p  8.
Determining the coefficient of filtration based on data on the granulometric composition of soil

Global population is expected to grow from more than seven billion at present to nine billion by the year 2050. As a result, resource issues are becoming increasingly severe. The questions raised in connection with natural resources are practical, but also philosophical and political.Alluvial groundwater is becoming increasingly important for drinking water supply, but also agriculture and other human needs. Human civilisations developed in alluviums during the Holocene. Armies, roads, trade and agglomerations largely concentrated in river valleys. Alluviums are resource treasuries (water, forests, farmland, etc.), but at the same time they are exposed to pressures from the population and economy. These threats to alluvial plains and alluvial aquifers require very careful planning and persistent implementation of protection measures.Sudden social and natural changes increasingly lead the world into a tangle of global events and problems whose outcomes are not easy to perceive, let alone influence. One of the factors that can help is knowledge or, in other words, expertise focussed on a single problem or area. The ability to synthesise information and master comprehensive models is also extremely important.This book, a monograph, is a modest attempt to contribute to the understanding of planetary water management, groundwater and certain natural processes in alluviums. It comprehensively encompasses current topics associated with the state, processes and problems of alluvial aquifers and is devoted to professionals, experts, professors and students in advanced stages of learning.ISBN: 9781789060898 (Paperback)ISBN: 9781789060904 (eBook)ISBN: 9781789060911 (ePUB)
AN INNOVATIVE NEW MEDIA ENVIRONMENT AS A TOOL FOR EDUCATION OF CONTEMPORARY STYLISTIC HERITAGE

I. Gintere 1, K. Biters2, I. Vīksne1 1Vidzeme University of Applied Sciences (LATVIA) 2Art Academy of Latvia (LATVIA)
BLENDED LEARNING ON EXPERIMENTAL LEARNING OF MAKING MOVIE IMAGES

We are facing the serious situation of the COVID-19, the way and method of teaching and learning of universities and colleges is changed, drastically. This concern is caused by clearing that smooth implementation of a face-to-face learning is difficult. There are many studies concerning remote, online and blended learning. In this situation, teachers should conduct a unique and effective program concerning experimental learning based on these real research achievement. These contains should require that they provide an effective and attractive ones. Now we should understand that it is different between ta well-planned blended learning and emergency one. On the situation of the COVID-19, teachers are required to conduct an emergency blended teaching. The aim of this study is to clarify a difference between education effects of face-to-face and of blended learning on a practical lesson concerning making movie images with using some special equipment. We find improvement methods of blended learning on experimental learning from this result. This result can also be applied to another teaching method on learning for technology acquisition of using some equipment. Learners have experiences as follows in this practical lesson. First, the learners learn a way of shooting procedure. Second, they learn a way of edit. Third, they suggest a scenario and proposal. Forth, they make a moving image (which is included in shooting and edit). Fifth, the moving images which are created by the learners are criticized by teachers and learning members. Concerning this lesson, a difference between education effects of face-to-face and of blended learning is clarified. From the result, we propose a utilization method which can use when teachers consider and plan experimental learning. We used surveys on the learners with and without this lesson. Through the results of the surveys and interviews, we qualitatively understand the effect of education on the learners. In addition, by using the rubric method, we quantitatively measured the degree to which the learners understood the problems and propose solution. The answer data of blended learning in 2020 and the data of exactly face-to-face in 2019 are used. In order to clarify an evaluation of emergency blended learning, we analyze an effect of education based on comparisons with learners and teachers in both case.From the result, it is clarified that there is little difference between learners’ learning achievement evaluation of face-to-face and emergency blended learning in this lesson. This lesson conducted in reflection of opinions from the learners who participated in the online learning each time. From the result, it is shown that it has a certain effects of blended learning on a practical lesson concerning making movie images. We should discuss teaching methods using ICT in order to improve learners’ satisfaction and effects of education.
Implementation of a seismic monitoring network of relevant and strategic public buildings in the Marche region (Italy)

A seismic monitoring infrastructure for relevant and strategic public buildings has been developed thanks to the agreement between the National Institute of Geophysics and Volcanology (INGV) and Marche Region. The project was founded by European projects for the assessment of seismic risk for strategic public buildings, prevention and monitoring - European Territorial Cooperation Project Holistic (EU IPA-Adriatic) and READINESS (INTERREG Italy-Croatia). The project was born by taking advantage of the presence of MEMS accelerometers installed at the base of municipal buildings. The project aims to implement low-cost technologies and non-invasive methods to extend the seismic monitoring of the sites where the structures are located and characterize the seismic action in correspondence of them with a rapid estimate of the damage through relationships between acceleration and macroseismic intensity or fragility curves and construction features. Among the various activities, environmental seismic noise measurements were carried to investigate the fundamental vibration of the structures and soils, semi-automatic procedures were developed for the calculation of the strong motion parameters of seismic events and a web portal was implemented for the collection and rapid dissemination of information to local Civil Protection.An important part of the activities concerned the testing of new MEMS accelerometers through collaboration with the Polytechnic University of Marche (UNIVPM) and the headquarter of the Osservatorio Nazionale Terremoti (ONT) in Palermo. Moreover, new monitoring sites are being prepared in some municipalities affected by the 2016 seismic sequence. Since the beginning of the project, the strong motion parameters relating to 95 seismic events of magnitude greater than 3 and with ground motion accelerations greater than or equal to 0.001 g have been stored in the database.
Fast Approximate Spectral Normalization for Robust Deep Neural Networks

Deep neural networks (DNNs) play an important role in machine learning due to its outstanding performance compared to other alternatives. However, DNNs are not suitable for safety-critical applications since DNNs can be easily fooled by well-crafted adversarial examples. One promising strategy to counter adversarial attacks is to utilize spectral normalization, which ensures that the trained model has low sensitivity towards the disturbance of input samples. Unfortunately, this strategy requires exact computation of spectral norm, which is computation intensive and impractical for large-scale networks. In this paper, we introduce an approximate algorithm for spectral normalization based on Fourier transform and layer separation. The primary contribution of our work is to effectively combine the sparsity of weight matrix and decomposability of convolution layers. Extensive experimental evaluation demonstrates that our framework is able to significantly improve both time efficiency (up to 60\%) and model robustness (61\% on average) compared with the state-of-the-art spectral normalization.
SPLAT: Speech-Language Joint Pre-Training for Spoken Language Understanding

Spoken language understanding (SLU) requires a model to analyze input acoustic signal to understand its linguistic content and make predictions. To boost the models' performance, various pre-training methods have been proposed to learn rich representations from large-scale unannotated speech and text. However, the inherent disparities between the two modalities necessitate a mutual analysis. In this paper, we propose a novel semi-supervised learning framework, SPLAT, to jointly pre-train the speech and language modules. Besides conducting a self-supervised masked language modeling task on the two individual modules using unpaired speech and text, SPLAT aligns representations from the two modules in a shared latent space using a small amount of paired speech and text. Thus, during fine-tuning, the speech module alone can produce representations carrying both acoustic information and contextual semantic knowledge of an input acoustic signal. Experimental results verify the effectiveness of our approach on various SLU tasks. For example, SPLAT improves the previous state-of-the-art performance on the Spoken SQuAD dataset by more than 10%.
A Critical Review of Issues on Organizing Subject Mattersfor the National History Curriculum

The purpose of this study is to critically research the issues for revising national history curriculum. As the result, it was intended to gain implications on what issues should be discussed for efficient history classroom. To this end, this study analyzed the nature of the controversial issues and the main contents of the discussion during the revision of the curriculum, focusing on the 2015 history curriculum. This study analyzed three issues such as general principles in the national curriculum’s to history curriculum, the systematization of history curriculum based on school grade, and constructing world history subject matters. These are main issues that were mentioned whenever the national education process was revised. The principles of syllabi proposed by the general principle of national curriculum do not have specific subjects in mind, and are often not appropriate for historical education. Nevertheless, it is necessary to critically understand principles of syllabi presented in the general discussion, and analyze how to apply it in other countries. The most serious problem in discussing the systematization of historical course is that it focuses on differentiating historical subject matters by school level, and it is to divide the aspects and topics into units based on easy and difficult. In order to systematize, the syllabi should be organized from what perspective to approach historical facts rather than what contents to involve. It is necessary to organize contents that can be reconstructed according to historical interpretation, and to organize topics centered on historical main ideas, historical interests, and historical issues. The subject matters of world history has been based on how to create an easy and interesting world history to attract students'' attention. However, this kind of discussion did not reflect the nature of history learning, nor did it increase students'' choice of world history subject. The subject matters of world history should be selected and organized from the perspective of meaningful historical knowledge to students.
Pendampingan Orang Tua untuk Menstimulus Belajar Anak Disleksia

Dyslexia is a disorder in certain parts of the brain that causes learning disorders in sufferers. Dyslexia is usually characterized by difficulties in language, understanding words or sentences, both in writing, reading, and spelling. This study aims to determine the causes of dyslexia in children and to recognize signs of dyslexia in children. This type of research is descriptive qualitative research. In this study, the object of the study was a child suffering from dyslexia. Meanwhile, the research subjects were parents of children with dyslexia. Data collection through library research and interview techniques. The data were analyzed through the stages of data reduction, data presentation and describe conclusions. The results of this study are that two factors cause dyslexia in children. First, cognitive factors include problems in the pronunciation pattern of letters and a lack of phonology or sound when reading in the child concerned. Second, psychological factors, the existence of problems in socializing and have low trust. The signs of dyslexia that appeared in the children studied were children who were very slow in reading, often flipped syllables by entering other letters, and the ability to recognize letters was very low so that they often mispronounced or pronounced letters.