Reviewerly/exHarmony huggingface dataset:
The Research of Visual Characteristics for the Deaf Wearing AR Glasses

In order to design AR (Augmented Reality) glasses for the deaf, this paper studies the virtual display interface of AR glasses. It is found that 89.8% of the deaf have willingness to use AR glasses based on questionnaires of 1900 deaf people. An experiment with 10 deaf subjects and 10 hearing subjects was done to calculate times of completing specific tasks. The results show that: (1) 80% of the deaf subjects have 3 to 5 zones in the interface with significant differences on cognitive efficiency, compared with the 6 to 7 zones from 80% of the hearing subjects. (2) The heat maps of the cognitive efficiency distribution shows that there is an obvious difference on the distribution patterns of regional sensitivity between the two groups. (3) The significant difference on cognitive efficiency of the deaf shown in different display zones is less than that of hearing people.
Constructing Hyperelliptic Covers for Elliptic Curves over Quadratic Extension Fields

Elliptic curves and hyperelliptic curves over finite fields are of great interest in public key cryptography. Using much smaller field for same security makes the genus 2 curves more competitive than elliptic curves. However, point counting algorithms for the Jacobians of genus 2 curves are not as efficient as what we have for elliptic curves. We give a method to generate genus 2 curves for which the point counting problems can be easily solved with efficient algorithms for elliptic curves. As an application, an example of a hyperelliptic curve whose order is a 256-bit prime is given. The method relies on the construction of a cover map from a hyperelliptic curve to an elliptic curve. Another important application of the construction is to generate the cover for the cover-decomposition attack on the discrete logarithm problems in elliptic curves.
Enriching the Students Vocabulary Mastery in Speaking through Engage, Study, Activate Method

&lt;p&gt;The objectives of this research are to find out the improvement of students’ vocabulary mastery and the student’s activeness in speaking through Engage, Study and Activate Method at the second year students of SMP Negeri 26Makassar. This research used Classroom Action Research that comprises of two cycles. The research population is the second year students of SMP Negeri 26 Makassar, and the sample of this research comprises of 25 students. The researcher obtained the data by using a speaking test and observation sheet.The results of this research show that there is animprovement in students' vocabularybetween the cycle I and Cycle II. The mean scores of students in the diagnostic test are 4.7 became 6.21 in cycle I, and after doing a revision in the cycle II the mean score in cycle II is7.45 then the activeness of students also improve from first meeting 53 % became 92% in the last meeting and achieved the minimal criteria, 65. The research findings indicate that the use of Engage, Study and Activate method can enrich the students’ vocabulary mastery and improve the students’ activeness in speaking.&lt;/p&gt;
Confidence Crisis in the Application of Cloud Computing in the Industrial Companies in Jordan a Field Study

The current study aimed at determining the extent to which the industrial companies in Jordan have a confidence crisis in applying cloud computing. This crisis is divided into three different categories: a confidence crisis in programs and operations, a confidence crisis in service providers and a confidence crisis in the security and protection offered by service providers. In order to achieve the purpose of the research, a questionnaire was designed covering the three areas of confidence crisis. (120) questionnaires were distributed on a stratified random sample of (81) industrial companies in Al Hassan industrial estate in Irbid; (104) valid questionnaires were retrieved. The results of the study show that there is indeed a confidence crisis in the application of cloud computing in the Jordanian industrial companies within the three aforementioned domains. The researchers recommend that the service providers should educate on the cloud computing mechanisms and how the systems, applications and stored data are protected, so as to avoid such a confidence crisis in the industrial companies.
Visual Controllers for Relative Positioning in Indoor Settings

This paper presents an approach to visually control a quadrotor relative to known landmarks. Relative positioning is achieved here by a new decoupled approach to image based visual servoing (IBVS), in which rotational and translational coupling is minimised by introducing a decay function that is proportional to feature location in the image. Simulations and experiments were conducted to validate the proposed method. Results show that our method has benefits over standard decoupled IBVS by ensuring smoother trajectories in the image plane as well as in task space, minimising the risk of features leaving the image plane.
Description of Tenun Songket Lansek Manih Training Strategies in IRA Songket, Sijunjung

This research is motivated by the success phenomenon of Tenun Songket Lansek Manih Training Strategies in IRA Songket, Sijunjung. This is evidenced by the presence, liveliness, and achievements obtained by the residents learning from the work of songket weaving. Researchers suspect the cause of the successful implementation of songket weaving training because of the learning strategies used by the instructor in interesting training. This type of research is quantitative descriptive research. The population in this study were 70 people who studied at IRA Songket. The sampling technique used is simple rendom sampling. Samples were taken as 35 people. While the questionnaire guidelines data collection tool. Data analysis techniques use a percentage formula. The results showed that Songket Lansek Manih Weaving Training Learning Strategy in Sijunjung IRA Songket from the aspects of learning methods, learning media, and learning resources was categorized as good.Keywords:Methods, Media, Learning Resources
A Survey on Filtered Watermarking Embedding &amp; Extraction in Bit Planes

Now a days the image authentication through watermarking is going in many different techniques.One of the newest method is filtered watermarking.The filtered watermarking is a secured watermarking technique.Depending upon the type of filter used during the watermarking process, the overall watermarked images results will be changed .Actually the target information is present in the edges of the watermark image in filtered watermarking process.The watermark image is hidden into another cover image(original image).The extraction of target information by using various edge detecting filters produce various results.In this paper we discussed our survey results on watermark embedding and extraction in bit planes using different filters and also the embedding of the filtered watermark in various order bit planes.
Klasifikasi Sinyal EEG Dengan Power Spectra Density Berbasis Metode Welch Dan MLP Backpropagation

Electroencephalogram (EEG) signal is a signal that could become an information for study about disorders of brain function such as Epilepsi. EEG that detected in epileptic seizures produce patterns that allow doctors to distinguish it from normal conditions. However, a visual analysis can not be done continuously. This study proposed a new hybrid method of EEG signal classification using Power Spectral Density (PSD) based on Welch method, Principle Component Analysis (PCA), and Multi Layer Perceptron Backpropagation.There are 3 main stages in this study, firstly preprocessing the dataset of EEG signals by Power Spectral Density (PSD) based on Welch method, then Principle Component Analysis (PCA) as a method of dimensionallity reduction of the EEG signal data and the Multi Layer Perceptron Backpropagation for classifying a signal. Based on experimental results, the proposed method is successfully obtain high accuracy for the 80-20% training-testing partition (99.68%).&#x0D;
DERIVATION OF THE INDEX GOVERNING THE SEEPAGE FLOW AND DYNAMIC SIMILARITY CONDITION OF LEVEE FAILURES DUE TO SEEPAGE FLOW

It is necessary to establish an estimation method of levee weak points due to seepage flow during floods to make appropriate levee reinforcements and risk management measures in a river basin, preparing for large-scale floods.The internal flow with large phreatic surface gradient in the body of the levee tends to concentrate around the landside toe of the levee during a flood event, which may trigger the levee failure.This study shows that the idea of the levee failure is effective for primary selection of dangerous levee failure positions to the seepage flow.First, the only dynamic index governing the seepage flow in soils, the Seepage Flow number (SFn), is derived by nondimensionalizing Richards' governing equation for a general seepage flow.Next, by applying SFn to the seepage flow in the levee, the levee vulnerability index (t*) is derived in the expression of a dynamic dimensionless quantity.Also, the vulnerability index of the levee on the permeable foundation is derived by using the unsteady quasi two-dimensional seepage flow analysis method.Finally, the vulnerability index (t*) is calculated for the actual field levee and model levee experiment in which each failure mode such as leakage, sliding or collapse and breach occurred.As a result, it is confirmed that t* shows approximately common values in the field levee and model levee taking the same failure mode.Therefore, it is demonstrated that t* gives a dynamic similarity condition on the levee failure phenomena, due to the seepage flow and the judge of the degree of levee failures.
Mendeley: Untuk Meningkatkan Kemampuan Menulis Dosen

In a successful college can not be forgotten the existence of this one factor is the lecturer. Lecturers are the key to success in universities to educate students and students to be useful for the nation and the nation in the future. Some of the lecturers' duties include teaching, research and community service often mentioned by Tri Darma Perguruaan Tinggi. Of the three obligations of a lecturer is asked to have the ability to write skills such as Reports, Theses, Theses, Dissertations, Books, Articles and others. However, to be able to write well it is necessary to practice continuously and know the tools to write one is the tool for the citation and bibliography. Therefore required tools / applications that can help lecturers to write citations and bibliography. Mendeley is an application that can be used to write citations and bibliography but not all lecturers can use this application. Methods in an effort to improve the ability to write lecturers do with several stages of lecture training materials / workshops about the contents of the introduction of Mendeley applications and videos about the ease of using this application, Practice using Mendeley application, Provide an opportunity for participants to ask questions or discussions about the material submitted, Conducting a survey to evaluate is done by spreading Pretest &amp; Posttest quizoner with success indicator of success level understanding of participants in this program is 80%. The result of this activity proves that the lecturer can improve his writing ability is very positive for the development of lecturers expertise in making scientific research work.
Securing Computer Based Testing (CBT) System for Tertiary Institutions in Nigeria

This research, securing computer based testing (CBT), systems for tertiary institutions provides an improved means for protecting examination question against unauthorized access. The research focuses on developing an independent and secure computer base testing system with an improved level of integrity, authenticity and confidentiality of exam questions. The methodology employed for the research design include studying writing materials on security aspect of CBT such articles and lecture notes as well as physically inspecting how the CBT system works with a view to finding leakages and vulnerabilities. Modeling tools such as UML use cases, Flowchart and entity relationship (E-R) diagrams were used to model the design. The overall design was implemented using HTML, PHP, MySQL and JavaScript platforms in order to actualize the objectives of the design. The system was tested locally using WAMP and found to be effective in reducing the problem of authenticity (especially with the Fingerprint Mechanism embedded) confidentiality and integrity of exam questions.
IIT Gandhinagar at SemEval-2019 Task 3: Contextual Emotion Detection Using Deep Learning

Recent advancements in Internet and Mobile infrastructure have resulted in the development of faster and efficient platforms of communication.These platforms include speech, facial and text-based conversational mediums.Majority of these are text-based messaging platforms.Development of Chatbots that automatically understand latent emotions in the textual message is a challenging task.In this paper, we present an automatic emotion detection system that aims to detect the emotion of a person textually conversing with a chatbot.We explore deep learning techniques such as CNN and LSTM based neural networks and outperformed the baseline score by 14%.The trained model and code are kept in public domain.
Analyzing international and Russian rankings of science and research organizations

The study is accomplished to develop the strategy to reveal publication and patent activity leaders in the Russian Federation based on the data provided by Scopus, Web of Science and Derwent. The study task is to analyze various approaches to selecting these leaders on the basis of primary machine-readable data in XML format generated by Scopus, Web of Science and Derwent. The authors have examined the ratings of Leiden (fractional estimate method), QS World University Rankings and Academic Ranking of World Universities (weighed indicator per one researcher, selecting a quality rating method). They conclude that these methods do not comprise any integrated index for comparable Scopus and Web of Science bibliometrical parameters, and leave the number of patents granted out of account. The authors examine the necessity for comparing institutional leaders of publication activity and patent activity leaders. The study is accomplished within the state order of the RF Ministry of Science and Higher Education “Developing the system of strategic and content monitoring of science, research, technological and innovative activities as related to the target and supplementary indicators of programmatic documents (Strategy of the scientific and technological development of the Russian Federation, Science National Project, National Program “Scientific and Technological Development of the Russian Federation”) (730000F.99.1.BV16AA02001); (730000F.99.1.BV16AA02001).
Multi-Camera Video Surveillance

In this paper we aim to detect and track moving persons inside a target area and to obtain statistics regarding the regions of the area with the highest pedestrian traffic. We present or approach on video data gathering, storage and analysis, aiming to deliver real-time results. We use neural networks for both pedestrian detection and pedestrian tracking, while attempting to track persons between multiple cameras as well. We present and comment our experimental results, pointing out advantages and disadvantages.
On directly mapping relational databases to property graphs

Much of the data found in practice resides in relational DBs. However, many contemporary analytical tasks are performed on graphs. Property graphs are currently one of the most prevalent data models for graph data management in industry. Therefore, a key challenge is to understand the fundamental relationships between relational databases and property graph databases. This paper reports our ongoing work towards understanding these relationships by proposing R2PG-DM, a direct mapping of relational databases to property graphs. Given a relational database schema and instance, a direct mapping generates a corresponding property graph instance. The semantics of our mapping is defined using Datalog. Our work is inspired by existing approaches for direct mappings of relational databases into earlier graph data models. Future work is to study our mapping with respect to fundamental properties such as information and query preservation.
Emotional Identity Formation In Primary School Children In A Formal Context

In the context of forming the emotional dimension of identity in children in society and sharing knowledge teachers have a great responsibility. Primary school teachers should have the necessary acquired skills to be leaders of their classroom but also to be mentors for the social and emotional dimensions of the child leading to a well-balanced citizen. When children get into the classroom they expect a warming and welcoming environment. This task falls mostly into the creative ability of the teacher who contributes to a positive classroom atmosphere very important for an optimal educational process. Thus a secure classroom can transform the child and with a positive teacher-student relationship he can better engage in learning activities. Most children in the Romanian school system view the classroom as their second home but this dimension is limited by the educational system’s agenda that has a greater influence in the teacher-student relationship. This study focuses on the experiences that third grade pupils had learning in a classroom specific to the public educational system in Romania. We tried to find out more about their learning experience, thoughts and feelings towards their teacher and colleagues in concern with different approaches to the usual ones of the teacher-student learning process. For the purpose of this study we designed a questionnaire and asked the children directly about their thoughts and experiences. The results indicated that children view their teacher as a factor in their wellbeing in the school environment.
PENERAPAN METODE MAKE A MATCH BERBANTU MEDIA VISUAL PADA MATERI LITOSFER UNTUK MENINGKATKAN HASIL BELAJAR SISWA

This study aims to determine the effect of using the make a match method in visual media to improve student learning outcomes. This study is a classroom action research (CAR), which consists of four phases of activity, namely planning, action, observation and reflection stages for each cycle. The implementation of the activity stages is carried out in 2 cycles. The study is conducted in the even semester of the 2018/2019 school year from January to February 2019. The first cycle was held in the third and fourth weeks of January, and the second cycle was held in the fifth week of January and the first week of February. This study was conducted in class X MIPA 2 in SMA N 1 Pangkalpinang. Preliminary tests were carried out before the first training cycle and completed in order to describe the initial conditions of the students, prior to taking any action after the assignments completed with the assessment tasks by writing tests for each cycle.The results of the study show that the initial abilities of the students before starting the action were at an average value of 65 and the percentage of completeness of 35.48%. At the first cycle, there was an increase in the mean value to 73, with the completeness percentage of 64.52%. There were several evaluations from the first cycle, including time management, addition of intergroup discussions, and rules of the game. This evaluation was used as the basis for improvement in the cycle 2, obtaining the average value to increase to 80 and the completeness percentage reached 100%. The value and completeness, as well as the student activity increased in the second cycle, from those at the first cycle. Based on these results, the study concluded that the use of make a match method combined with the visual media improved the student learning outcomes.
The Justice of Inequality, or Who Wins the Social Theory Olympiad and How

Being members of the Central Subject-Specific Methodology Board for the Russian School Student Olympiad in Social Theory and members of the jury for its final round, we discuss the specific aspects of teaching social theory at school and preparing for the Unified State Examination and the Russian Olympiad in that subject. We examine different kinds and types of tasks offered in different rounds of the Olympiad, analyze their pitfalls and ultimate objectives, and discover the opportunities, prospects and challenges of applying the competency-based approach in preparing students for the Russian School Student Olympiad in Social Theory.
Research on a Watermarking Algorithm for Remote Sensing Images Resist Screen Capture Attacks in Urban Planning Information Management

Remote Sensing data, as an essential urban basic information in urban planning, has the characteristics of large information capacity, real time, high update speed and accuracy.Because of urban spatial information involving multi-faceted public and public interests, its data security is very important.The use of digital watermarking technology can effectively protect the security of urban planning basic data.In practical applications, the "screen capture" poses a great threat to the security of remote sensing image.In order to resist the screen capture attacks, the QR code watermark information is encoded and converted, and combined with a circular angle template watermark, a digital watermarking algorithm for remote sensing images in urban planning information management is proposed.And the proposed algorithm is experimentally verified.Experiments show that the algorithm is robust against screen capture attacks, and provide security guarantee for urban construction and management.
Taking students outside the classrooms. Location-based mobile games in education

The contribution aims at corroborating location-based mobile games as models for the integration of digital technologies in the educational field. They demonstrated to be valid alternatives to formal education in the applied research project: Play Design!, which addressed to high school students, interested in design-related matters, and intends to valorise the Italian design culture, transforming Milan into the stage of a double-sided story. Design is here highlighted both as a cultural heritage and a discipline, inducing the development of two different games sharing a common didactic aim: D.Hunt and D.Learn. The first one is a mobile treasure hunt illustrating the excellences of the creative production of the country, and the renowned protagonists and places of Italy- and Milan-based design: a cultural background to be preserved and valorised. The second one, instead, is a role-play, cooperative and competitive game which depicts the city as a hub for schools and universities, where design is considered a subject for didactic courses, a combination of theories and practices to be transmitted and implemented. Then, the two mobile, location-based serious games exploit this copious and multifaceted material for evident learning purposes, joining the examples of informal education to increasingly follow in future technology developments.