Reviewerly/exHarmony huggingface dataset:
Designing Security Framework for Secure Exam System based on QR Code

Today, Online Examination System is considered a fast-developing examination method because of its accuracy and speed. The main objective of our project is to efficiently evaluate the candidate thoroughly through a fully automated system that not only saves time but also give a fast result. In this automated system, there is no need for paper and pen. The user can write the exam without going to the exam centre. The project includes two modules namely, administrator and user. The control for all the process of the examination belongs to the administrator module. Now a day, require for fast accessing of data is increasing with the exponential increase in the security field. QR codes have served as a useful tool for fast and convenient transferring of data. But with increased usage of QR Codes have become insecure to attacks such as phishing, pharming, manipulation, and exploitation. The goal of designing applications is to hide candidate details with the help of QR code, to recognize cheating at the time of examination by taking a screenshot and photo of that particular candidate through a web camera. Online Exam Softwareis the best solution to improve every educational centre.
THE NEEDS ANALYSIS OF SENIOR HIGH SCHOOL AT ARRAHMANIYAH DEPOK

This investigate inspected the interface of senior high school understudies in coordination English educating and learning, centering on the target needs and learning needs. The questionnaire consisting of parts A and B was administered to 46 MA Arrahmaniyah Depok students.. Portion A bargains with the target needs centered on the learner’s necessities, needs and needs of the learner that are successfully working within the target circumstance. On the other hand, Portion B concerns the learning needs that envelop learning inputs, methods, instructor and learner parts and settings. On the other hand, interviews were too conducted with the understudy and the English educator to gather information in arrange to analyze in-depth results of the encounter of educating English and to identify possible regions of dialect troubles for understudies to memorize English. The comes about proposed that the understudies have diverse recognitions of their necessities, wants, and lacks. The results also illustrated the learning needs of students, including learning inputs, teaching learning procedures, the role of teachers and learners, as well as teaching learning environments.
Payment Interface using Face Recognition

The 3 modes of payment that people use to carry out any transaction are: cash, cards, e wallets.But there might be some circumstances when the buyer cannot use any of the above mentioned modes of payment.To deal with such case a payment interface can be developed which won't require the customer to have a phone or a card or cash.Only the shopkeeper needs to have a smartphone having a camera.The main motive of this paper is to study and implement face-detection using a mobile phone.The customer is authenticated through face recognition based on CNN in order to perform transaction.
Interpreting Multimodal Machine Learning Models Trained for Emotion Recognition to Address Robustness and Privacy Concerns

Many mobile applications and virtual conversational agents now aim to recognize and adapt to emotions. These predicted emotions are used in variety of downstream applications: (a) generating more human like dialogues, (b) predicting mental health issues, and (c) hate speech detection and intervention. To enable this, data are transmitted from users' devices and stored on central servers. These data are then processed further, either annotated or used as inputs for training a model for a specific task. Yet, these data contain sensitive information that could be used by mobile applications without user's consent or, maliciously, by an eavesdropping adversary. My work focuses on two major issues that are faced while training emotion recognition algorithms: (a) privacy of the generated representations and, (b) explaining and ensuring that the predictions are robust to various situations. Tackling these issues would lead to emotion based algorithms that are deployable and helpful at a larger scale, thus enabling more human like experience when interacting with AI.
Kohonen Network Modeling for Asteroid Name Recognition

A small number of asteroids have already had their own permanent names. However, tracking the names of asteroids that have been used before is an impractical work because there are thousands of names that must be traced one by one. This research intends to minimize the search burden of many asteroid name data using the Kohonen network. By using the Kohonen network, it is sufficient to do training on the sample data provided which is far less than the actual data. The result of this training is then used to obtain the number of asteroid names that are successfully identified by the Kohonen network. The result can also be used to propose a new asteroid name so that thestatus of acceptance of the proposed name can be determined. Based on the results of the training on the sample data, the training result is getting better as the learning rate increases. However, when tested with real data, the overall result that is not satisfactory is obtained because the level of recognition is only 49.78%. From the test result, it is also found that there is no linear relationship between the level of learning rate and the number of names that were successfully identified. Further research that can be done are the inclusion of non-asteroid training data, changing Kohonen network parameters, or using other recognition methods.
The Conceptual Framework of Natural and Social Science in Elementary School

This conceptual framework of natural and social science in elementary school to study measures the relationship between innovative and loving organizational climate. Data was collected among Indonesian academics from state and private elementary school and analyzed using Smart PLSThe students' perceptions of effective interactive teaching using this technology were evaluated statistically using questionnaires. Based on data collected through participation in learning of natural and social science in elementary school. The findings reveal a significant positive relationship between the innovative organizational climate and organizational commitment of natural and social science in elementary school.
Development of an Intelligent Safety System in Automobile

In this project the innovative idea of implementing intelligent safety system using pneumatic bumper is presented using prototype model and thereby analyzed its various parameters for regular and daily realistic applications.Intelligent safety system using pneumatic bumper is one of the smart options which can be implemented in various applications for protecting the passenger without any jerky motion or without any harm.In the project our main thing is to protect the passenger from the jerky motion after the obstacles suddenly comes in front of our vehicle.Here infrared sensor plays a vital role in determining intelligent safety system generated by sensing the obstacles and activation of pneumatic bumper within a second.Design of intelligent safety depends upon the effectiveness of infrared sensor and pneumatic bumper.Design parameters are calculated and actual and theoretical values are compared.
Dissipative Quantum Error Correction and Application to Quantum Sensing with Trapped Ions

Quantum-enhanced measurements hold the promise to improve high-precision sensing ranging from the definition of time standards to the determination of fundamental constants of nature. However, quantum sensors lose their sensitivity in the presence of noise. To protect them, the use of quantum error-correcting codes has been proposed. Trapped ions are an excellent technological platform for both quantum sensing and quantum error correction. Here we present a quantum error correction scheme that harnesses dissipation to stabilize a trapped-ion qubit. In our approach, always-on couplings to an engineered environment protect the qubit against spin-flips or phase-flips. Our dissipative error correction scheme operates in a continuous manner without the need to perform measurements or feedback operations. We show that the resulting enhanced coherence time translates into a significantly enhanced precision for quantum measurements. Our work constitutes a stepping stone towards the paradigm of self-correcting quantum information processing. Quantum error correction plays a key role in quantum information and metrology, but generally requires complex gates and measurements sequences. Here, the authors use trapped ions to implement a scheme in which always-on coupling to an engineered environment protects the qubit against errors.
Mutual Implicit Question Answering for Shared Authorship: A Pilot Study on Player Expectations

The typical goal of an experience manager in an interactive narrative is to create a sense of shared authorship that lends the player freedom to personalize the experience while still meeting the author's constraints on structure. This can be difficult when the player and author only communicate with one another through their actions. Each new action causes new questions to arise, assumptions to be made, and old questions to be answered. In this paper, I propose a technique called Mutual Implicit Question Answering, or MIQA, designed to allow an experience manager to both perceive and influence the momentum of an interactive story. It combines a generative model of narrative planning with analytical models of question answering and salience. I also present the results of a small, qualitative study of how people construct interactive narratives that lends insight for the eventual evaluation of a MIQA experience manager.
Numerical simulation of collision-free near-shortest path generation for Dubins vehicle via Hamilton–Jacobi–Bellman equation: A case study

Motivated by modeling an unmanned aerial vehicle at a constant altitude plane above ground level as Dubins vehicle with signed upper-bounded curvature as constrained input and the flight path as Dubins path, the class of flight paths we study is restricted to the paths composed by path segments with zero or constant curvature satisfying the curvature constraint. We start with time-optimal control formulation incorporating mixed constraints for Dubins vehicle in cluttered planar environment and derive the associated Hamilton-Jacobi-Bellman (HJB) equation for the value function from the necessary time-optimality condition. The Kruzkov transform is used to modify the HJB equation for scaling of the solution to be bounded near the obstacles. Numerical solutions based on the fast-sweeping methods with consistent, monotone upwind Godunov Hamiltonian and semi-Lagrange methods are implemented for solving the two-point boundary value problem of modified HJB equation. Comparative validation simulations suggest the appropriateness of both schemes for the numerical collision-free shortest path via Kruzkov transformed HJB equation but with different convergence rate. Two schemes both perform satisfactory path planning, while Godunov Hamiltonian scheme provides more accurate in order of convergence. It is also found by example simulations that the grid resolution and time-step size required for switching structure is finer than that of the convergence criterion.
PECULIARITIES OF FORMING A TOLERANT ATTITUDE OF SCHOOL AND FAMILY TO PRIMARY SCHOOL-AGED CHILDREN

The collective monograph describes the theoretical and practical aspects of development of the European research area. The general issues of the history of pedagogy, theory and methods of teaching, correctional pedagogy, theory and methods of vocational education and educational management, the current state of philological research, etc. are considered. The publication is intended for scholars, teachers, postgraduate students, and students of pedagogical specialties, as well as a wide readership interested in pedagogy and philological. Theoretical and practical aspects of the development of the European Research Area: collective monograph / edited by authors. – 2nd ed. – Riga, Latvia : “Baltija Publishing”, 2020. – 334 p.
Peran pendidikan kearsipan dalam menghidupkan arsip dan kehidupan sosial

Introduction. The establishment of archival science study programs at the undergraduate (including archival applied) level leads to efforts to develop archival education and fulfillment of the needs of professional archivists. This paper discusses the importance of established and strong archival education by implementing more effective competency standards.&#x0D; Data Collection Method. The method used in this research was literature study with qualitative approach.&#x0D; Data Analysis. The data was analyzed by using a descriptive-analytic approach.&#x0D; Results and Discussion. The establishment of the archiavl study programs will have great impacts on the quality of the graduates. The establishment also affected the scientific development of archival science, with the fact that the number of archival science study programs is limited. The non-standard curriculum by each study program also needs to be further professionally discussed. &#x0D; Conclusion. Competency standards in professional archivist development must ensure the clear objectives and tailored competency to support the archival science. Finally, archival education is to form humans’ characteristics to solve social problems in society, particularly the field of archival education.
ACTIVITY APPROACH IN THE EDUCATIONAL CULTURE

In this article, we will make sense of the activity approach in cognitive culture. In our small study, we aim to show the main characteristics of this approach in the interpretation of culture. The research uses a number of methodological approaches of philosophy and cultural studies. The active approach was developed in Marxism, namely by the Soviet school of philosophers and cultural scientists. To write this work, we referred mainly to the works of Yu.A. Zhdanov and V.E. Davidovich, E.S.&nbsp;Markarian, M.S. Kagan, K. Marx, and M.I. Bilalov. The study also talks about the regional aspect of the activity approach in the cognitive culture of Dagestan. Cognitive culture was developed by M.I. Bilalov in their works "Civilizational metamorphoses of cognitive culture", "Dagestan in culture and civilization" and in a number of other scientific works. M.I. Bilalov believes that each nation has its own cognitive layers and differences from each other in the knowledge of being. The authors analyze culture from the point of view of the activity approach, and present their ideas about culture as a result of the universal technology of human activity. As we know, the formation of culture is associated with social and technological progress. Technological progress does not always contribute to cultural progress. It should be noted that the adopted patterns of progress from the West, whether in science or technology, thus contributed to the emergence of a cultural crisis in Russian society. Its Overcoming is a challenge for creating a new society. To do this, it is necessary to combine the efforts of the authorities and society, to preserve the valuable cultural heritage that has been accumulated in Russia for many centuries, taking into account national peculiarities in knowledge, combining them with scientific and technological progress, without harming the cultures that exist. The authors suggest that perhaps in the future there will be an increase in the importance of culture, namely in the creative activity of each member of society, depending on their cognitive abilities, which their culture assumes.
An Efficient Authentication Scheme for Electronic Health Records based Block Chain

This paper presents our current electronic health record ( EHR) systems with a blockchain based architecture.Designed on top of established databases held by health care organizations, the framework incorporates a blockchain approach to ensure data record accuracy and enhance network interoperability by monitoring all incidents that occurt on top of existing health service provider-maintained databases, the architecture implements a blockchain solution to ensure data record integrity and improve system interoperability by tracking all events that occur in database data. We 're also implementing a new reward system in this revised design to build new blocks on the blockchain. The design is autonomous of any particular blockchain network and accessible to more extensions; it may also be combined with other electronic storage structures needing security. It will then theoretically tie in with other electronic storage schemes needing protection from data misuse.
KnowBias: Detecting Political Polarity in Long Text Content (Student Abstract)

We introduce a classification scheme for detecting political bias in long text content such as newspaper opinion articles. Obtaining long text data and annotations at sufficient scale for training is difficult, but it is relatively easy to extract political polarity from tweets through their authorship. We train on tweets and perform inference on articles. Universal sentence encoders and other existing methods that aim to address this domain-adaptation scenario deliver inaccurate and inconsistent predictions on articles, which we show is due to a difference in opinion concentration between tweets and articles. We propose a two-step classification scheme that uses a neutral detector trained on tweets to remove neutral sentences from articles in order to align opinion concentration and therefore improve accuracy on that domain. Our implementation is available for public use at https://knowbias.ml.
Building a Computer Vocational Guidance System for Graduates of Secondary Educational Institutions Based on a Genetic Algorithm

The purpose of the article is to present the results of a study on the development of a genetic algorithm to solve the problems of career guidance for graduates of secondary educational institutions and to verify the possibility of its implementation in a computer system. The issue of career guidance for graduates is still relevant, problematic and not fully resolved. According to the authors, the introduction of artificial intelligence technologies in career guidance systems is a promising area that should be paid attention to. Genetic algorithms are widely used to solve search and optimization problems in various subject areas. The authors propose to automate the process of identifying the tendency of secondary school graduates to a particular type of activity by building a vocational guidance system based on a genetic algorithm. Materials and methods . To identify an individual’s predisposition to a specific type of activity, it is necessary to have a list of requirements and contraindications to the profession. Among the ways of describing the norms and requirements for the applicant-specialist are professiograms, lists of necessary competencies and others. To determine the characteristics of the individual that affect the choice of profession, it is possible to use special tests, activating questionnaires, grades in school subjects. The authors carry out the comparison of personality characteristics and requirements through a genetic algorithm. Genetic algorithms belong to the group of evolutionary methods and are based on the evolutionary theory. Among their advantages are conceptual simplicity and wide applicability, resistance to dynamic environmental changes and the ability to self-organize. Results . The genetic algorithm has been developed, in which as a source of information for creating a new population individual certificate evaluations are accepted. Based on these estimates, an initial population of professions is formed. As a result of crossing a pair of individuals from the parent population, a descendant is obtained whose chromosome consists of the genes of both parents. The selection of surviving specimens is based on the percentage of success in the development of each of the professions in the list and the fitness function. The developed algorithm was implemented in a software system. As experiments showed, the genetic algorithm successfully copes with the task of finding the optimal list of professions according to a given criterion. Conclusion . The results of the study show that the use of genetic algorithms provides convenient mechanisms for introducing artificial intelligence methods into the field of career guidance, which improves the quality of recommendations for choosing a profession.
Exploring the Benefits of Depth Information in Object Pixel Masking (Student Abstract)

In this paper, we look at how depth data can benefit existing object masking methods applied in occluded scenes. Masking the pixel locations of objects within scenes helps computers get a spatial awareness of where objects are within images. The current state-of-the-art algorithm for masking objects in images is Mask R-CNN, which builds on the Faster R-CNN network to mask object pixels rather than just detecting their bounding boxes. This paper examines the weaknesses Mask R-CNN has in masking people when they are occluded in a frame. It then looks at how depth data gathered from an RGB-D sensor can be used. We provide a case study to show how simply applying thresholding methods on the depth information can aid in distinguishing occluded persons. The intention of our research is to examine how features from depth data can benefit object pixel masking methods in an explainable manner, especially in complex scenes with multiple objects.
Beginning of establishing the extraordinary education system in Ukraine (Х centuries - beginning ХХ centuries)

Problems of informatization of educationalprocess at school and in institution of higher learning.[
CivilEng: A New International Open Access Journal in Civil Engineering

Civil Engineering is the oldest branch of engineering [...]
Improving the Quality of Financial Reports through Designing a Prototype of Islamic Boarding School Accounting in Medan, Indonesia

Islamic boarding school is the educational institutions with dormitory systems or huts that have complex learning.An increasing growth of Islamic boarding school establishment has become a special concern for various parties who want to advance the quality of it.One of the characteristics of an advanced boarding school is the quality of good management and supports the creation of good governance.The ability to manage the process of recording and reporting financial transactions is the most important thing in the process of improving governance, so as to increase transparency for all donors for the long term.This study aims to provide solutions to Islamic boarding schools in improving the quality of financial statements, through the design of Islamic boarding school prototypes based on SAK-ETAP accounting standards.Samples used purposive sampling as many as 6 (six boarding schools), namely 35 respondents.The study uses multiple linear regression analysis as the data analysis techniques and using the classic assumption test through the SPSS program application.The results showed that budget planning, financial administration, and the application of information technology have significant effects on the application of accounting in Islamic boarding school.All three variables have a significant influence on boarding school accounting.