Reviewerly/exHarmony huggingface dataset:
Knowledge Engineering Research Topic Mining Based on Co-word Analysis

This paper collects research papers on knowledge engineering 2009-2018 from the internationally-authoritative citation database Web of Science and uses the co-word analysis method to analyze these contents of literature.By statistical analysis of keyword frequency, the paper compiles the co-word table of the high-frequency words, uses statistical analysis software to make hierarchical clustering, and summarizes hot research topics in the knowledge engineering area.
The Effect of Tunisian Cyclical Fiscal Policy on Economic Volatility: Understanding the Role of Institutional Quality

The recent decades have been marked by major instabilities that have increased the sensitivity of Tunisian business cycles to internal and external shocks.The economists must take this structural problem into account in their current decisions.Therefore, most institutional reforms were made in response to those instabilities after the Tunisian revolution.In addition, several fiscal indicators are partly intended to stabilize Tunisian economic fluctuations and avoid excessive government deficits.The influence of fiscal policy can be examined by distinguishing between cyclical and discretionary policies.Accordingly, it is interesting to investigate the impact of institutional quality on Tunisian fiscal policy conduct.This paper measures the effect of cyclical fiscal policy on Tunisian volatility.It analyzes the role of four fiscal indicators such as total government expenditure, administrative expenditure, capital expenditure, and loan expenditure.In addition, this paper tests the role of institutional variables on the stabilizing effect of fiscal policy.Indeed, the results are significant, and a tendency to apply a cyclical fiscal policy proved to be possible to reduce Tunisian volatility.Tunisian's experience is likely to be of interest to other developing countries.
Detection and classification of vehicle types using machine learning technology

In this paper, we focus on detection and recognition of vehicles from a video stream. Contrasted with conventional techniques for article identification and arrangement, Machine learning strategies are another idea in the field of PC vision. Our model works in two phases: an information planning step, it comprises of applying Treatments on the pictures forming the dataset so as to separate the qualities, the subsequent advance is to apply the idea of convolutional neural systems to order vehicles. Vehicle discovery permits the utilization of different uses of computerized reasoning framework for a few purposes, particularly: canny transportation, programmed checking, self-sufficient driving, and driver wellbeing ensure. The motivation behind this article is to enable us to identify vehicles moving before us by means of a camera put under the rearview mirror and draw the direction lines of our vehicle. In this work, we center on the location and acknowledgment of vehicles in a video stream. We have demonstrated that our strategy for work extraordinarily improves the exactness rate and diminishes the mistake rate, however in spite of the utilization of regularization, institutionalization and advancement systems, the preparation time of our model remains an issue to raise. Our method gave better results in terms of precision, detection and classification where we obtained an accuracy of 99.2%.
A fuzzy c-means assisted AIC workflow for arrival picking on downhole microseismic data

We propose a workflow for automatic P-and S-wave arrival picking on downhole microseismic data.It uses conditional fuzzy c-means clustering to identify time intervals of possible wave arrivals.We classify the signal intervals as P-and S-wave using the first and second eigenvalues of the waveforms contained within.The Akaike information criterion (AIC) picker is then applied to the identified P-and S-wave intervals for arrival picking.Using real microseismic dataset examples, we show that the proposed workflow yields accurate arrival picks for both high and low signal-to-noise ratio waveforms.The identification of signal intervals, however, uses features based on amplitude, thus remains susceptible to high amplitude noise.
Simulating Social Cycling Experience in Design Research

This paper shows an experimental simulation system that simulates the experience of social cycling in the process of design research. The system has been used in two iterative studies to evaluate different design concepts related to cycling and social interaction. We introduce the build and implementation of the simulation system and discuss the role of an experimental prototype in design research.
FUTURE EDUCATORS AND TEACHERS OF INITIAL CLASSES TRAINING TO WORK WITH CHILDREN WITH SPECIAL EDUCATIONAL NEEDS

Raising and educating children with disabilities has always been a painful and difficult topic to discuss. However, at the present time, inclusive education has proved its relevance at the expense of the vision of the educational process from the point of view of enhancing the adaptive capacity of the main subject of the education of the child. Such education can be a way of breaking down stereotypes in society, as it allows such children to be included in the school system and to ensure their full socialization. Inclusive education requires new programmers, new teaching AIDS and additional funding. Most importantly, changes in teacher training, namely, the readiness and ability of teachers teaches all children, without exception, regardless of characteristics and abilities, as well as development and limited opportunities. On the basis of a theoretical analysis of psychological, pedagogical, scientific and methodological literature, the concepts of «children with special educational needs», «inclusive education» are revealed, the concepts of «training» teachers are considered. The main idea of a scientific article is that the preparation of teachers for work in inclusive education is aimed at developing the professional competence of future teachers as the ability to solve professional problems in the field of inclusion. The main components of the readiness of future teachers to implement educational similarities with children with special educational needs are: theoretical, practical and personal, which include the system of knowledge and skills necessary to implement inclusive education; the formation of a complex of motives, goals and objectives of inclusive education; including personal factors (motivation to the development and implementation of inclusive education; reflection of a personal relationship to the process of this training), as well as a willingness to overcome difficulties and setbacks.
Explicit factors of generalized cyclotomic polynomials and generalized Dickson polynomials of order <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" id="d1e22" altimg="si3.svg"><mml:mrow><mml:msup><mml:mrow><mml:mn>2</mml:mn></mml:mrow><mml:mrow><mml:mi>m</mml:mi></mml:mrow></mml:msup><mml:mn>3</mml:mn></mml:mrow></mml:math> over finite fields

In this paper, we derive explicit factorizations of generalized cyclotomic polynomials and generalized Dickson polynomials of the first kind of order 2m3, over finite field Fq.
Closed Circuit Television Systems on University Campuses: Unexamined Implications for the Expectation of Privacy and Academic Freedom

Since 9/11 and particularly since the massacre at Virginia Tech University in 2007, many universities in the United States have begun installation of Closed Circuit Television (CCTV) systems on their campuses. What sorts of claims are being made about the use of these systems and what justifications are there for installing them? How might the pervasive use of monitoring technology affect traditional values associated with university life such as freedom of speech, freedom of assembly, privacy, and the freedom to explore? What policies are in place to ensure that whatever benefits associated with these systems justify both tangible and intangible costs?Our analysis is partially derived from a study of university policies in the United States concerning the installation and operation of CCTV systems with the aim of gaining insight into these questions. In addition, we used a coding instrument for analyzing the corpus of policies in order to understand how the policies addressed such issues as: rationale or justification for CCTV usage, relevant personnel roles, public awareness, accountability measures, information security and data handling, routine operations of usage, and any relevant limiting measures. One aspect of our study is to interpret the corpus of policies through the lens of Nissenbaum’s contextual integrity framework which is concerned with examining the effects of new technological practices (such as the installation of CCTV systems) on one’s expectation of privacy.
Question Splitting and Unbalanced Multi-modal Pooling for VQA

Visual question answering (VQA) is a cross-modal learning task that requires question understanding, image interpreting, and associating question with image. Most models generally did not consider to use different question parts in different modules, nor took into account the different roles of multi-modal features in fusion. In this paper, we proposed a question splitting and unbalanced multi-modal pooling approach. The question is split into two parts, one part contains object information called question footer. The other contains question type information called question header. Then we superimposed several layers of feature reinforcement linear overlaps on the basis of Multi-Modal Factorized Bilinear Pooling in order to give them different weights. Considering the interaction of multimodal features, our model also introduces the co-attention mechanism. Experimental results demonstrated our framework is superior to the previous models such as Oracle(GVQA, SAN) and QRU. The accuracy of our model increased from 61.96% to 64.44% on VQA 2.0 dataset and from 62.5% to 65.72% on COCO QA dataset.
Advantages and disadvantages of typical visual saliency methods applied to ship detection on sea surface

The ship detection technology based on visual saliency methods is a research hotspot in the field of remote sensing. Aiming at the application of visual saliency methods under complex sea conditions, this paper firstly introduces the target characteristics of visible bands of the optical remote sensing image, and then analyzes the advantages and disadvantages of typical visual saliency methods applied to maritime ship detection through experiments. Finally, the problems of existing visual saliency methods applied to ship detection are summarized.
A New External Force for Snake Algorithm Based on Energy Diffusion

Object shape detection and localization techniques that utilize snake deformable models are one of the most promising image detection techniques.The binary edge maps, derived from the original image, are basically the class acted upon by the snake to extract the desired features.As a result, high and low energy content pixels are obtained.The high energy pixels are the pixels that reflect the object borders of a given image.This paper addresses a new external force that is calculated from the energy diffusion of high content pixels and is used to balance the internal forces of the snake.The proposed scheme showed better results in terms of computation speed and capture range than standard snake models.On the basis of the concavity convergence, analogous results are achieved in the proposed scheme compared with standard models.
The Dialectical Method of Education as Overcoming the Conceptual Contradictions of Education in Modern Russia

The article reflects a critical approach to the goals of education, declared in the Federal Law “On Education in the Russian Federation”. The culture of thinking that is in demand in the modern information society is opposed to the totality of knowledge and skills. The basis of the educational process with an objective necessity must be a dialectical approach to the knowledge and transformation of the world.
Asymmetric Local Metric Learning with PSD Constraint for Person Re-identification

Person re-identification is one of the key issues in both machine learning and video monitor application. In particular, defining an appropriate distance metric between the person images is very important. Existing metric learning approaches used in person re-identification either learn a single measure, or ignore the positive semi-definite (PSD) of measurement matrix, at the same time, since the number of negative sample pairs largely exceeds the number of positive sample pairs, some metric learning methods are largely influenced by the sample imbalance. Considering the above issues, we propose a new adaptive local metric learning method with positive semi-definite (PSD) constraint. Unlike existing metric learning methods which learn a single distance metric, we use an approximation error bound of a smooth metric matrix function over the data manifold to learn local metrics as linear combinations of basis metrics defined on anchor points over different regions of the instance space. Besides, we develop an efficient two stage algorithm that first learns the anchor points and the linear combinations of each instance, then learns the metric matrices of the anchor points. We employ the fast iterative shrinkage-thresholding algorithm which is a fast first-order optimization algorithm in the learning process of the linear combinations as well as the basis metrics of the anchor points. Our metric learning method has excellent performance. We firstly apply the proposed method on 5 UCI databases, which are widely used in machine learning, to test and evaluate the effectiveness of the proposed method. Then the proposed approach is applied for person re-identification, achieving better performance on three challenging databases (GRID, VIPeR, CUHK01) than the existing methods. The experimental results show that the proposed method can prvide the theoretical and practical support for the person re-identification problem.
MENINGKATKAN KETERAMPILAN MENULIS PUISI MENGGUNAKAN MEDIA AUDIO VISUAL POKOK BAHASAN MELENGKAPI PUISI ANAK BERDASARKAN GAMBAR MODEL PEMBELAJARAN TEMATIK

This research aimed to improve the students, poem writing on topic of completing poems based on the pictures of thematic learning model using audio-visual for the third graders of SD Negeri 1 Rejasari The method used was a classroom action research held in 2 cycles , each cycle had 2 meetings consisting of planning, acting observing and reflecting . The data analysis was by test and non – test techniques, the test was by written test and the non – test was by teacher’s and students’ observation sheet and documentation. Based on the result of the research of the student’s ability in writing poems, the learning completeness in pre cycle was 12,5%, it improved to 42,42% in cycle II and it improved more to 90,37% in cycle III, The teacher ‘s activity in the effort to improve the student’ writing poems in cycle I was 63,04% in cycle and it improved to 93,57% in cycle II. The students’ activity in cycle I was 66,66% in cycle I and it improved to 94,44% in cycle II. Therefore , it could be concluded that thematic learning model by using audiovisual could improve the students’ ability in writing poems in class III SD Negeri I Rejasari.
Stipple removal in extreme-tone regions

Conventional tone-preserving stippling struggles with extreme-tone regions. Dark regions require immense quantities of stipples, while light regions become littered with stipples that are distracting and, because of their low density, cannot communicate any image features that may be present. We propose a method to address these problems, augmenting existing stippling methods. We will cover dark regions with solid polygons rather than stipples; in light areas, we both preprocess the image to prevent stipple placement in the very lightest areas and postprocess the stipple distribution to remove stipples that contribute little to the image structure. Our modified stipple images have better visual quality than the originals despite using fewer stipples.
Uncertainty relation for estimating the position of an electron in a uniform magnetic field from quantum estimation theory

We investigate the uncertainty relation for estimating the position of one electron in a uniform magnetic field in the framework of the quantum estimation theory. Two kinds of momenta, canonical one and mechanical one, are used to generate a shift in the position of the electron. We first consider pure state models whose wave function is in the ground state with zero angular momentum. The model generated by the two-commuting canonical momenta becomes the quasi-classical model, in which the symmetric logarithmic derivative quantum Cramér–Rao bound is achievable. The model generated by the two non-commuting mechanical momenta, on the other hand, turns out to be a Gaussian model, where the generalized right logarithmic derivative quantum Cramér–Rao bound is achievable. We next consider mixed-state models by taking into account the effects of thermal noise. The model with the canonical momenta now becomes genuine quantum mechanical, although its generators commute with each other. The derived uncertainty relationship is in general determined by two different quantum Cramér–Rao bounds in a non-trivial manner. The model with the mechanical momenta is identified with the well-known Gaussian shift model, and the uncertainty relation is governed by the right logarithmic derivative Cramér–Rao bound.
DEVELOPING YOUNG LEARNERS’ ORAL SKILLS THROUGH STORYTELLING WITH LEGO®

The current study shows how LEGO® was used as a learning tool in the foreign language classroom with young learners (7-10 years old) during an English Foreign Language (EFL) course in order to enhance fluency and develop students' oral skills.The findings of this small-scale study support the idea that storytelling engages young learners in the process of foreign language learning and that LEGO® bricks could create contexts very favorable to language learning.Likewise, it indicates that students' engagement in the storytelling task is determined by several factors, such as their interest in LEGO®, their level of assertiveness, their creativity and language level.As to the type of tasks, collaborative or individual, the current paper puts forward the idea that in the case of storytelling tasks, young learners perform better individually than in pairs or in small groups.This article approaches the language benefits of storytelling activities with young learners and displays a few pedagogical suggestions for the use of LEGO® as a language learning tool.
Formal ontologies and data shapes within the Software Engineering development lifecycle

Business models, organizational activities and corporate strategies are now being reshaped to meet the new needs of a challenging and evolving environment in which more up-todate, secure, safer, cost-efficient and personalized software products and services must be timely delivered.This new digital context also represents an opportunity for the improvement and extension of existing software engineering methods.One of the current trends in Software Engineering development lies in boosting interoperability and collaboration between tools and people through the sharing of existing artifacts under common data models, formats and protocols to improve the practice and reuse of existing software artifacts.In this context, formal ontologies and data shapes play a key role to model and exchange data and to provide services for data validation (consistency checking) or type inference as part of a knowledge management strategy.In this document, an initial review of the different approaches to model and exchange data of software artifacts is done to finally evaluate and discuss the proper mechanisms to technically support the upcoming needs in the Software Engineering development lifecycle.
True Random Number Generator Using an Active Inductor Based Oscillator

Oscillator jitter is commonly used as a source of entropy in true random number generators (TRNG). Circuits based on this phenomenon are usually built with ring oscillators (ROs) mostly because of their simplicity and ease of testing (on a FPGA). In this paper we investigate the use of active inductor based oscillators (AI-OSC) in TRNG. Two designs are compared, in a 0.18μm technology provided by AMS, one with ROs and one with AI-OSC. It is shown that the latter has better statistical proprieties for the same power budget ( 450μW) and speed (40 Mbps).
ShipIndex.org: A database with a narrow focus, but broad application

ShipIndex.org, a vessel research database, simplifies vessel research.Whether you are a genealogist, a maritime historian, a researcher, or just curious, the database can help you learn more about the ships that interest you.You can find the books, journals, magazines, newspapers, CD-ROMs, websites, and online databases that mention the ships that interest you.References are enhanced by noting which ones include illustrations or crew and passenger lists, and where you can find or purchase the resource.The database was born from necessity.Learning about famous ships, such as the Titanic or USS Constitution is pretty easy, but learning about the hundreds of thousands of other ships that are mentioned in books, websites, and elsewhere, is much harder.ShipIndex.orgmakes this research easy and possible.
Knowledge, Attitude and Effect on Farm Women Regarding ICTs in the District of West Garo Hills, Meghalaya

This paper identified their knowledge level of different ICTs in agriculture and allied sectors, their attitude towards different ICTs and their perceived effect of ICTs in agriculture and allied sectors.The study was conducted in the district of West Garo Hills, Meghalaya.A total of hundred samples were collected for the present study and was studied between March 2018 and May 2019.The results revealed that large percentage (81%) of the respondents have use mobile phones.According to their awareness level large percentage of the respondents were aware and use mobile to call and to send SMS to others.Apart from their awareness on use and send SMS only few (2%) percentage of the respondents were connected to internet services.Their attitude towards ICT were favourable so they need to encourage little more by the ICT expertise providing them a short duration training or awareness programme on the use and importance of ICTs.This will help them to learn a valuable of ICTs in a different way of agriculture and allied activities.It was found that the correlation between age and the attitude towards ICT of respondents is negligible because the attitude towards ICTs does not depend on age.So, their effect towards ICT is negligible.So far to their perceived effects towards ICTs and socio-economic variables were moderately correlated because the respondents whose education, mass media exposure, ownership of mobile phones is higher than their attitude towards ICT is more positive.