Reviewerly/exHarmony huggingface dataset:
Analysis of the development of distance learning as a modern form of information and education environment

The article considers the essence of development and dissemination of distance learning as an innovative technology in the Ukrainian and foreign education space in the context of the historical and pedagogical approach. The authors study the conditions of implementation of this education technology, teaching aids and features of teaching. An important point of the article is the analysis of the genesis of the educational process at different stages, positive and negative aspects of distance education, as well as the authors' own practical recommendations for using modern distance learning platforms taking into account the needs of education and information environment. A large number of works in modern general and professional pedagogy are devoted to the study of such an innovative education technology as distance learning. Using comparative and descriptive research methods, the history of this phenomenon in education is considered, the main pedagogical categories are identified, the advantages and disadvantages of the distance education application and difficulties of this technology implementation are identified. Despite the high level of the problem elaboration and introduction of distance learning in modern education, there is a need, taking into account modern realities, to analyse the significance and essence of this innovative approach in more details. The authors of the article consider modern distance learning platforms in terms of intensification of foreign language and other humanities learning. The necessity of distance education technologies implementation under conditions of modern technogenic civilisation is proved, when traditional models of organisation of the educational process fail to satisfy the education needs of a large number of population. The result of the work is a substantiated statement of the authors about the necessity to combine traditional and distance learning models to ensure the competitiveness of the modern educational process.
Cooperative Multi-Sensor Tracking of Vulnerable Road Users in the Presence of Missing Detections

This paper presents a vulnerable road user (VRU) tracking algorithm capable of handling noisy and missing detections from heterogeneous sensors. We propose a cooperative fusion algorithm for matching and reinforcing of radar and camera detections using their proximity and positional uncertainty. The belief in the existence and position of objects is then maximized by temporal integration of fused detections by a multi-object tracker. By switching between observation models, the tracker adapts to the detection noise characteristics making it robust to individual sensor failures. The main novelty of this paper is an improved imputation sampling function for updating the state when detections are missing. The proposed function uses a likelihood without association that is conditioned on the sensor information instead of the sensor model. The benefits of the proposed solution are two-fold: firstly, particle updates become computationally tractable and secondly, the problem of imputing samples from a state which is predicted without an associated detection is bypassed. Experimental evaluation shows a significant improvement in both detection and tracking performance over multiple control algorithms. In low light situations, the cooperative fusion outperforms intermediate fusion by as much as 30%, while increases in tracking performance are most significant in complex traffic scenes.
Attack Tree Design and Analysis of Offshore Oil and Gas Process Complex SCADA System

Attack Trees are very important in the effort to secure Industrial Process Control Systems ( I C S ) , because they aid directly in indicating the presence of vulnerabilities in network and how attackers use the vulnerabilities to implement an effective attack.Attack Tree design and analysis provide clues for the network security professionals on how an attacker exploits the vulnerability on the network to achieve goals.In this paper it will be illustrated for designing attack tree in Offshore Oil and Gas Process Complex SCADA System to identify various vulnerabilities.Using the vulnerabilities it presents how an attacker can take control of the SCADA system network and eventually affect hydrocarbons production.
Automatic Control of Virtual Mirrors for Precise 3D Manipulation in VR

Popular virtual reality systems today allow us to experience highly immersive applications in which virtual objects are realistically perceived via stereoscopic displays and can be directly manipulated based on hand-eye coordination in a very similar way as in the real world.However, the insufficiency of sensory feedback as well as the limited degrees-of-freedom of input motion still hinders precise and elaborate manipulation in virtual reality.Aiming at more precise 3D manipulation, we present a new method of extending the user's spatial perception ability with the 'virtual mirrors', which expose the hidden spatial information of given virtual scenes to the user.The movement of a virtual mirror is automatically controlled by solving an optimization problem iteratively, in which the objective function prefers the placement of the mirror that can highlight the spatial relationship between the manipulated object and the object nearest to it.The optimization process is handled efficiently for each time step based on our method for finding the closest gap between any two objects based on the OBB (oriented bounding box) trees and our sampling-based approximate approach to the optimization problem.The usefulness of our method is demonstrated by several pilot applications under various usage scenarios, such as assembling construction toys and solving 3D dissection puzzles.The quantitative results of our user study show that the virtual mirror is very helpful in increasing the precision in 3D manipulation tasks in virtual reality.
Photometric stereo with central panoramic cameras

In this paper, we introduce and rigorously solve for the first time the photometric stereo problem for central panoramic systems. In particular, by leveraging the unified camera model, we present a new spherical image irradiance equation and analyze its mathematical properties in detail. The discrete gradient field issued from this equation is fed into a drift-free normal integration algorithm tailored to the spherical image geometry, and the light direction is estimated using the specular highlights observed on mirror balls inside the scene. Extensive experiments conducted with analytical surfaces, and synthetic and real-world images captured by central panoramic cameras, show that the proposed 3D reconstruction pipeline is effective and tolerant to noise. The image database and the code developed are publicly available on the Internet at the address: https://home.mis.u-picardie.fr/ fabio/ustereo.html
Using of electronic educational content in higher education institutions

Formulation of the problem.In modern conditions, it is relevant to study the feasibility and methodological principles of integrated usage of electronic educational content in higher education institutions and to identify features of its functioning.It is shown that an innovative approach to the introduction of digital technologies of education in modern institutions of higher education has significantly changed the educational space and allows to solve a number of important didactic problems.In particular, the use of the virtual learning environment provides great opportunities for student mobility in learning, takes into account their personal needs and preferences, allows the student to choose a convenient time and place for studying, work on an individual schedule, to schedule work, build their own educational trajectory and more.Materials and Methods.We have analyzed the researches of modern scientists and methodologists, monitored the websites of foreign and Ukrainian universities, used our own pedagogical experience.Results.It is substantiated that the creation and use of electronic educational content in higher education institutions ensure: realization of the principles of individualization, consciousness, and activity, visualization, accessibility of learning; acquisition of competencies in the use of software to solve professional problems.The example of the creation of the project «Personal site of the lecturer» with the appropriate teaching and methodological content.The researches of modern up-to-date technologies allowing to create Web-sites and Web-portals are carried out, the means of Web-sites' development are considered and classified by their complexity.Student Web-cabinets have been shown using well-known databases and high-level software platforms.Conclusions.We should not exaggerate the possibilities of Web-portals, because their creation requires the correct selection of learning content in accordance with the didactic properties and capabilities of digital learning technologies, forecasting the possible impact on the nature of thinking and behavior of participants in the educational process.
‘Blockchain Good, Bitcoin Bad’

Blockchain is one of the most widely debated technologies in recent years. Pundits and scholars have described it as a disruptive technology that will impact many sectors of society. Skeptics argue blockchain’s popularity is fuelled by the media’s obsession for the ‘next big thing’ rather than the intrinsic potential of the technology. In this paper, we follow a social constructivist approach with the aim of explaining how different discourses are creating new meanings about this technology. As Communication scholars, we focus on the role media play in framing debates about blockchain. Our analysis relies on a human coding of the most popular news about blockchain circulating on Twitter from October 2014 to July 2018. The findings show the general attitude about blockchain is predominantly positive. The discourses developing around crypto technologies are complex and multifaceted and indicate a general transition in the rhetorical definition of blockchain.
Changing Beliefs about Domain Dynamics in the Situation Calculus

Agents change their beliefs about the plausibility of various aspects of domain dynamics -- effects of physical actions, results of sensing, and action preconditions -- as a consequence of their interactions with the world. In this paper we propose a way to conveniently represent domain dynamics in the situation calculus to support such belief change. Furthermore, we suggest patterns to follow when writing the axioms that describe the effects of actions, and prove how these patterns can control the extent to which observations change the agent's beliefs about action effects. We also discuss the relation of our work to the AGM postulates for belief revision. Finally, we show how beliefs about domain dynamics can be incorporated into a form of regression rewriting to support reasoning.
Visual servo optimization stabilization of nonholonomic mobile robots based on control Lyapunov functions

This study considers the visual stabilization problem of nonholonomic mobile robots and proposes a novel optimization stabilization method for visual servo control of nonholonomic mobile robots with monocular cameras fixed onboard. The main idea of the method is to utilize control Lyapunov functions of discrete-time nonlinear systems to design a family of explicit stabilization control laws of the visual servo error system. The parameters of the control laws can indirectly reflect the performance of the visual servo controllers. Then taking account of visibility constraints and actuator limitations, a set of optimal parameters of the control laws is calculated by offline solving a constrained finite horizon optimal control problem. Moreover, the stabilization results on the optimal visual servo controller are established based on the properties of control Lyapunov functions. Finally, some simulation experiments are used to illustrate and evaluate the performance of the visual servo control scheme proposed here.
A Framework for Spam Detection in Twitter Based on Recommendation System

The rapidly growing online social networking sites have been infiltrated by a large amount of spam.Spammers are a particular kind of ill-intentioned users who degrade the quality of OSNs information through misusing all possible services provided by OSNs.Social spammers spread many intensive posts/tweets to lure legitimate users to malicious or commercial sites containing malware downloads, phishing, and drug sales.Given the fact that Twitter is not immune towards the social spam problem, different researchers have designed various detection methods, which inspect individual tweets or accounts for the existence of spam contents.Today, social networks are exposed to various threats that exploit their vulnerability.However, although of the high detection rates of the account-based spam detection methods, these methods are not suitable for filtering tweets in the real-time detection because of the need for information from Twitter's servers.At tweet spam detection level, many light features have been proposed for real-time filtering; however, the existing classification models separately classify a tweet without considering the state of previous handled tweets associated with a topic.First, they propose the identification of spam tweet by the security approach based on social honeypots and then they propose a method based on an algorithm "content filtering" in order to detect those that are similar to spam tweet detected by the approach of honeypots.Our approach has greatly improved the quality of abstraction in terms of performance and design.The algorithm is also fast and simple to implement.Experimental results show the stability and accuracy (over 99%), F-measure 98% of our approach.
Implementing problem-based learning in the software engineering course

The student learning process using real-life contextualization and soft skills are the factors that every student should acquire after completing a Software Engineering course.Problem-based learning (PBL) that promotes learning by doing is used to be implemented in the Software Engineering course in order to solve these issues.A study is conducted with the intention to investigate the introduction of implementing PBL in the Software Engineering course at the Faculty of Computer Science and Engineering, University of Jeddah.Thus, this paper aims to report the findings of introducing PBL to stimulate students' learning and skills.The PBL was implemented in the Software Engineering course as an ongoing teaching method for Fall Semester 2019/2020, and after completing this course, a set of the questionnaire is distributed to all students to get their perceptions of using PBL.The results indicated that PBL stimulates the students' learning by allowing them to be responsible for their learning, become self-directed learners and given the students the ability to be responsible for their own learning in a simulated environment, working with fellow students to achieve an outcome.These results are comparable with previous works on PBL in the Software Engineering course, and PBL has been emphasized as a new teaching paradigm in an ongoing review of software engineering undergraduate program by IEEE/ACM.Therefore, the result of this study is significant as it highlights the positive conclusion of PBL, and this led to the theoretical of Software Engineering education in reducing the gap between theory and practice in curriculum development.
Fast transform type selection using conditional Laplacian distribution based rate estimation

Selecting among multiple transform kernels to code prediction residuals is widely used for better compression efficiency. Conventionally, the encoder performs trials of each transform to estimate the rate-distortion (R-D) cost. However, such an exhaustive approach suffers from a significant increase of complexity. In this paper, a novel rate estimation approach is proposed to by-pass the entropy coding process for each transform type using the conditional Laplace distribution model. The proposed method estimates the Laplace distribution parameter by the context inferred by the quantization level and finds the expected rate of the coefficients for transform type selection. Furthermore, a greedy search algorithm for separable transforms is also presented to further accelerate the process. Experimental results show that the transform type selection scheme using the proposed rate estimation method achieves high accuracy and provides a satisfactory speed-performance trade-off.
Robustness of Generated Geometric Phase of Quantum Wells in Two Open Waveguide-Coupled Optical Cavities

In this article, we study the geometric phase in a system formed by two spatially separated cavities interacting with the environment. Each cavity is filled by a linear optical medium and contains a quantum well. For different initial states, the robustness of the generated geometric phase is analyzed under the effects of the optical susceptibility, the dissipation of the cavities, the exciton-cavity and fiber-cavity couplings. Our results show that the geometric phase is extremely sensitive to the effects of the cavity-exciton and the fiber-cavity couplings as well as to the optical susceptibility. This opens new routes to understand the storage and manipulation of quantum data in a quantum network.
PERFORMANCE COMPARISON OF NEW DESIGNS OF CHIEN SEARCH AND SYNDROME BLOCKS FOR BCH AND REED SOLOMON CODES

Error correcting codes constitute one of the core technologies in telecommunications field, especially digital communication applications. The objective of this paper is to compare performance among new designs of chien search block on the one hand and syndrome architectures on the other hand in error correcting codes. All comparison of all designs is made by computing the number of logic, bit error rate values and number of iteration in the case of syndrome architectures Analysis results show that the performances of the new designs based on both second factorization method and Three-Parallel Syndrome architecture are superior to the performances of traditional designs.
IMPLEMENTING POWTOON TO IMPROVE STUDENTS’ INTERNATIONAL CULTURE UNDERSTANDING IN ENGLISH CLASS

The use of technology has increased rapidly in our daily activities since first industrial revolution and its features also becomes more and more enchanting from time to time. Thus, people are used to work with it to lighten their jobs, including education, such as delivering/learning material through multimedia, online teaching and learning, etc. It is line with the result of preliminary study that 56% students of English Literature at Universitas Teknokrat Indonesia (UTI) said their lecturers used more technology in class. Thus, the researchers used classroom action research in order to know whether the use of technology does not only help the lecturer in delivering material in a class but also improve students’ international culture understanding in English class. To collect the data, the researchers used observations, tests, and questionnaires. The subjects of this research were second semester students of English Literature at UTI. The finding showed that students’ international culture understanding improved after each cycle. Improvement was also seen based on the result of observations that students showed positive behaviour during the teaching and learning activity.
Mining Zone Determination of Natural Sandy Gravel using Fuzzy AHP and SAW, MOORA and COPRAS Methods

Indonesia is one country that is rich in natural resources, both natural, marine and air resources.The existence of abundant resources is not properly utilized by the people of Indonesia.Improper use of resources will cause environmental damage.One form of environmental destruction is natural Sandy Gravel (Sirtu) mining activities in Kediri Regency.This study aims to map potential place for mining areas assessed using Geographic information system (GIS) and Multi criteria choice Making (MCDM) using Simple Additive Weighting Method (SAW), Multi Objective Optimization on the basis of Ratio Analysis Method (MOORA) and Complex Proportional Assessment Method (COPRAS).The weighting of the criteria used in this study is based on the Fuzzy Analytical Hierarchy Process (F-AHP) method.GIS is used to score the criteria and build the decision matrix needed by the MCDM method.The criteria used in this study are based on UU Republik Indonesia 4/2009.Those criteria are grouped into 3 categories which are natural factors, environmental factors, and aesthetic factors.Natural Factors have sub-criteria such as geomorphology, lithology, and hydrology.Environmental factors are comprised of vegetation, wildlife, distance from main road, distance from settlements, and population density.While aesthetic factors consist of natural features and touristic places.The results showed that from the three methods used which are SAW, MOORA and COPRAS methods, the most suitable method was the COPRAS method with 19/19 aggregation values.The order of sub-districts in Kediri Regency with the most suitable potential for Natural Sandy Gravel (Sirtu) is as follows: Kras, Bulan, Papar, Tarokan, Purwoasri, Mojo, Pare, Ngadiluwih, Kukung, Kandatel, Gampengrejo,
Plausible Reasoning about EL-Ontologies using Concept Interpolation

Description logics (DLs) are standard knowledge representation languages for modelling ontologies, i.e. knowledge about concepts and the relations between them. Unfortunately, DL ontologies are difficult to learn from data and time-consuming to encode manually. As a result, ontologies for broad domains are almost inevitably incomplete. In recent years, several data-driven approaches have been proposed for automatically extending such ontologies. One family of methods rely on characterizations of concepts that are derived from text descriptions. While such characterizations do not capture ontological knowledge directly, they encode information about the similarity between different concepts that can be exploited for filling in the gaps in existing ontologies. To this end, several inductive inference mechanisms have already been proposed, but these have been defined and used in a heuristic fashion. In this paper, we instead propose an inductive inference mechanism which is based on a clear model-theoretic semantics, and can thus be tightly integrated with standard deductive reasoning. We particularly focus on interpolation, a powerful commonsense reasoning mechanism which is closely related to cognitive models of category-based induction. Apart from the formalization of the underlying semantics, as our main technical contribution we provide computational complexity bounds for reasoning in EL with this interpolation mechanism.