Reviewerly/exHarmony huggingface dataset:
Position-based cryptography by means of quantum and classical schemes, using multiple-valued logic computing

Quantum and classical schemes of position-based cryprography are to transfer confidential message to an abonent with localised space position. Known verification proceedures are based on time-delay measurements of response signals and can`t provide unconditional security, as the eavesdropper can always cheat verifiers with the help of false signals. In order to raise the relative level of security, it is proposed to combine the quantum verification scheme by D.Unruh with multiple-valued logic methods.
Deliberation Towards Transitivity with Unshared Features

We place ourselves in a decision making setting where a set of agents needs to collectively decide upon a set of alternatives characterised by their features. We introduce the notion of unshared features and show that if such features do not exist then we can reach a Condorcet consensus. We provide a deliberation protocol that ensures that, after its completion, the number of unshared features of the decision problem can only be reduced.
Signature Localization and Signature Classification

Signature is one of the most important and widely accepted biometric.It is the most common biometric used in documents like financial transactions, legal documents, contracts, and others.The security requirements demand the classification of the signatures.In real-world scenarios, signatures are not always available separately.The signatures are to be extracted from the documents and are then to be processed for other applications.In the first stage, the scanned document images are fed to the system and the signatures from the documents are extracted using various morphological operations.Features are extracted using DenseSIFT and these extracted features are stored in a database for further processing.In the later stage, Support Vector Machines (SVM) are employed to classify the signatures.The testing signatures are extracted from the documents and are then classified against the stored documents in the database.For the purpose of this project, we have considered around 500 documents.But, can be extended to work with as much as 1000-2000 documents.
Speaker Classification using DTW and A Proposed Fuzzy Classifier

The speaker classification is considered with how the identity of the speaker is represented as a unique class label. This identity is characterized by the voice features belong to the speaker. The speaker classification has many application related to the security and forensic systems. There are many classification methods that could be used in speaker classification but the such classifier must has the ability to discriminate the between voice feature vectors which overthought there are a small differences. In this work, a proposed fuzzy classifier has been used for speaker classification using fuzzy inner product (FIP) and Mel frequency Cepstral coefficients (MFCC) features. This proposed classifier is evaluated by a comparison with Dynamic Time Warping (DTW) as traditional method. The proposed classifier was more accrued than DTW, since it classify speakers in ELSDSR data set with 90.91% while the accuracy of DTW classifier was 77.27%.
Research on Audit Application Based on Apriori Algorithm

The data analysis is very important in the audit field since there are plenty of audit big data, which cannot be identify easily.This paper applies one of the big data techniques to the audit work and solves the problem that is hard to be found in the hidden information data.Specifically, the Apriori algorithm is used to mine and analyze the audited personnel's learning test data in the audit data to form the association rules, and the results can provide guidance for the next audited personnel training and testing.Firstly, the test data is preprocessed and the data is discretized; then the Apriori algorithm is used in the Python language environment, and the processed data is used to mine the association rules, and the impact of the audited personnel is found in the formed association rules.The rules of the results are analyzed.
Research design process formalization

The analysis of the main development paths of the fourth industrial revolution (Industrie 4.0), which is designed to carry out enhanced integration of cyberphysical systems (CPS) into production processes and the Internet of things (IoT), is carried out. Industrie 4.0 - is the production side, equivalent to the consumer-oriented IoT, in which household items, from cars to toasters, will be connected to the Internet and will be able to receive feedback from the final product, assembly, machine, household appliance. All this must happen with the introduction of intelligent robots. The main industries that will be transformed using IoT are presented. All this contributes to the development of the Digital Economy. The international organization OECD (Organization for Economic Co-operation and Development) identifies one of the main components of the digital economy "Supporting infrastructure (hardware and software, telecommunications, networks, etc.)". The era of intensive development of smart systems of various levels and purposes is supported by the Horizon 2020 strategic framework program and the joint technological initiative (JTI) Electronic Components and Systems for European Leadership (ECSEL) for the period up to 2024. and the joint venture of the same name ECSEL JU. The multi-year strategic plan for the implementation of the research and innovation program in the field of electronic components, systems and technologies (MARSIA) provides the development of the following main domains: smart mobility, smart society, smart energy, smart health and smart production. The analysis of Internet of Things technology - Smart systems, cyber-physical systems, their applications and construction features based on FPGA chips is performed.A formalized method is proposed for the research design of structural implementations for an arbitrary problem in an arbitrary subject area by choosing the optimal (method - architecture) pair, consisting in solving the structure synthesis problem based on constructs of an alphabet for performing a specific algorithm A that implements the method that realization the structure functioning, in accordance with the requirements of the specifications. The result of the procedure is the description of the project in the CAD input language.
Complex Approach for Learning Software Testing \in the Educational Process PetrSU

The article contains information on the organization of training of specialists in the field of information technology at Petrozavodsk State University and the tools used to do this in one of the fundamental stages of software development, i.e. testing. Three stages are described: familiarity with testing technology (1 course, undergraduate), testing as a development stage of a team project (3 courses, undergraduate) and organization of the testing process (2 courses graduate). For each stage a set of tools is considered, which are used in the educational process. Training in stages is built from the simple use of tools to controling the testing process in the development team.
Improving The Students’ Ability In Writing Recount Text Through Guided Picture of Class X DKV 2 Semester 1 at SMKN 1 Banyuwangi In The 2017/2018 Academic Year

This classroom action research discussed certai ways to solve studentsdifficulties in composing recount, and the researcher would like to developthe technique of learning composing recount through guided picture, andthe problem of this research is: How can the students’ ability in writing recounttext through guided picture of X DKV 2 Semester 1 at SMKN 1 Banyuwangi inthe 2017/2018 Academic Year be improved?. This classroom action researchapplied the strategy in order to improve the students’ ability in writingcomposition of recount text, and the strategy which is used in teachingwriting composition is the use of guided picture as the media.. The use of guided pictures as media in teaching writing composition ofrecount can improve the students’ ability of class X DKV 2 SMKN 1Banyuwangi. It can be seen in the result of cycle I and cycle II. Frompreliminary test, the students writing composition of recount score rangedfrom 55 to 68, there were 24 students. It gradually improved to 37.1%, it meansthat the score range in cycle 1 was from 55 to 68 there were 11 students. Incycle 2, there were 9 students in the score range from 55 to 68. It means thatthere was 5.7% achievement. It can be concluded that the test result frompre-action, cycle 1, to cycle 2 have had improved significantly based on thecriteria of success which has been stated in previous chapter that is 75%. On the other hand, it can be concluded that the students’ motivation andinterest in learning writing composition of recount are also improved
The Cognitive Enhancement Process of Scientific Data Retrieval

Is there a stable cognitive structure of scientific data retrieval process? Based on the theory and method of user relevance research, this study explores the cognitive characteristics of user scientific data query and retrieval. The semi-structured interview method used to collect relevant data, and the content analysis method used to encode and analyze the cognitive process of users' scientific data query and retrieval. The results show that (1) users scientific data relevance judgment not only depend on topicality, but also use accessibility, quality, authority and usefulness. (2) There are 7 combination patterns for the use of user's scientific data relevance criteria, and (3) different patterns correspond to different user relevance types and different user information need states. These 7 criteria usage patterns reveal the cognitive enhancement of user scientific data relevance judgment. The research results have a great inspiration for the development of interactive scientific data retrieval system based on user cognitive enhancement characteristics.
Knowledge Graph Embedding Based on Hyperplane and Quantitative Credibility

Knowledge representation learning is one of the research hotspots in the field of knowledge graph in recent years. How to improve the training algorithm of knowledge representation model and improve the accuracy of knowledge graph knowledge completion prediction is the main research goal in this field. Applying more implicit semantic information to model training is the primary means of improving accuracy. The traditional method does not consider the change of knowledge validity with time. So for this problem, we study the distribution law of quantitative changes of knowledge, design the model to simulate the quantitative changes of knowledge, put forward the concept of quantitative credibility, and apply it to the training algorithm of the model, and put forward A new learning method of knowledge representation QCHyTE. We compare the trained model with the best-recognized algorithms, and the results show that our improved algorithm greatly improves the prediction accuracy of the model.
Progress Analysis of Peer Teaching Assistant System

How would an English teacher confronts the situation when students, particularly those whose majors are not necessarily English literature, claim being having difficult time in learning the contents in the English language classrooms during the semester?The possible feedbacks are often being "uninterested in the materials", "clueless about the lectures", and "totally or partially unprepared for the course."This study proposed the Peer Teaching Assistant (PTA) System to confront the situation in the nowadays classrooms.The collected data was explored by the techniques of linear and quadratic regressions.Not only the PTA system motivated students in the classroom, but also it harmonized the gaps among students.The PTA system lowered down the cost for instruction with classroom management skills.
WAYS OF INTEGRATION OF SCIENTIFIC AND TECHNICAL PROFILE SPECIALIZED PREMISES INTO THE STRUCTURE OF A COMPREHENSIVE SCHOOL

The article states that one of the most pressing educational problems of our time is the organization of educational processes in the building of a comprehensive school, namely the combination of various functions that ensure the intellectual development of schoolchildren.One of the current trends is the cooperation of the premises of scientific and technical profile with other teaching functions of the school.The studied examples of the American, European and Oriental experience show that there are several approaches to integrating specialized facilities in a general educational institution.
Teachers’ and Learners’ Perceptions toward Using Social Media for Developing Oral Proficiency

Social media is one of the most important sources of communication in this technological age which enables the people to share their views and thoughts with other friends, relatives, colleagues, class fellows, and teachers without any problem of distance. Therefore, the main purpose of this study was to highlight the role of social media, and to compare the views of teachers and learners regarding the use of various social media sources in English language learning proficiency at university level. The data for this descriptive study was collected through self-made questionnaire. The participants of this study were two hundred (200) university level English learners and teachers (100 learners and 100 teachers). The outcome of the study showed that the frequent usage of Social media by EFL students as well as teachers constitutes a significant impact on both users. It has also reflected the teachers’ readiness to integrate Social media in EFL context by means of a convenient pedagogy. The result of this study showed that both teachers and learners had positive attitude toward using social media in oral proficiency at university level.
THE ROLE OF SOCIO-PSYCHOLOGICAL FEATURES OF THE PEDAGOGICAL COMMUNITY IN THE FORMATION OF THE SOCIAL PICTURE OF THE WORLD OF UKRAINIAN YOUTH

The monograph is devoted to the consideration of theoretical and applied aspects of the modern pedagogy and psychology.In particular, the essential properties of current training of future specialists, factors of its effectiveness, its key elements, principles, functions, means and techniques of project training and features of using the project method from the positions of the competence approach are analysed.The signs of the traditionally leading institution of socialization have been defined: conservatism, unification, limitations of influence in time, and the existence of a corps of professional socializers. The importance of a detailed study of the problem of marginalization, the conditions and resources for the demarginalization of the pedagogical community and its individual segments have been emphasized.In addition, the main trends and directions in the study of ethnogenesis, ethnic consciousness and ethnic culture of the Crimean Tatars are being considered.
Design of Powered Wheelchair for a Differently Abled Person

We know that the needs of many people with disabilities can be overcome with power wheelchair, but some portion of this community is finding it difficult to operate power wheelchair. Though we have evolved in the field of health care and technology, but we are still not good enough to solve difficulties of this sector of population. This project is related to an arduino controlled wheel chair along with an alternative use of manual joystick. The main objective of this project is to felicitate and increase the movement of people who are handicapped and the ones who are not able to move freely. Therefore, we are coming up with a design of wheelchair which will be an asset for medical department and to make it more advanced in existing technology and allows the victim to live a free life.
Relationship between Human and Animal in Kate DiCamillo The Magician's Elephant

This study aimed to analyse the relationship between human and animal in Kate DiCamillo’s novel entitled The Magician’s Elephant. This study analyzed how the people in The Magician’s Elephant treat the animal. From the analysis in the research, the researcher found the disharmony of the relationship between humans and animals in the novel. This novel is very anthropocentric, where the people in it do not build good relations with animal, including exploiting and treating animal improperly. Ecocriticism opposes excessive exploitation of nature. All animals in the world have their own rights to life no less certainly as human do. Ecocriticism believes that animals could feel like the human in the world, aware of the world, also aware of what happens to them. Include their bodies, their freedom, even their lives. The researcher used ecocritcism theory to support this research. Qualitative descriptive is used as the research method in this research. Based on the analysis the reasearcher conclude that The Magician’s Elephant have the animal right issues, where humans ought to establish good relations with nature, especially animals
N2TM: A New Node to Trust Matrix Method for Spam Worker Defense in Crowdsourcing Environments

To defend against spam workers in crowdsourcing environments, the existing solutions overlook the fact that a spam worker with guises can easily bypass the defense. To alleviate this problem, in this paper, we propose a Node to Trust Matrix method (N2TM) that represents a worker node in a crowdsourcing network as an un-manipulable Worker Trust Matrix (WTM) for identifying the worker’s identity. In particular, we first present a crowdsourcing trust network consisting of requester nodes, worker nodes, and transaction-based edges. Then, we construct WTMs for workers based on the trust network. A WTM consists of trust indicators measuring the extent to which a worker is trusted by different requesters in different sub-networks. Moreover, we show the un-manipulable property and the usable property of a WTM that are crucial for identifying a worker’s identity. Furthermore, we leverage deep learning techniques to predict a worker’s identity with its WTM as input. Finally, we demonstrate the superior performance of our proposed N2TM in identifying spam workers with extensive experiments.
Design and Simulation of a Deterministic Quantum Secure Direct Communication and Authentication Protocol Based on Three-Particle Asymmetric Entangled State

In order to improve eavesdropping detection efficiency, we propose a quantum secure direct communication and authentication protocol based on three-particle asymmetric entangled state and design an efficient quantum circuit for implementing the protocol. This protocol has two modes, in message mode, a qubit is used to transmit two bits classical information based on a Bell state, in control mode, three-particle asymmetric entangled state is inserted into the particle flow for detecting eavesdropper. Eavesdropping detection efficiency is got by calculating the relationship between the amount of information and detection probability, if eavesdroppers want to obtain all information, detection probability is 63%, the analysis results indicate that this proposal is more secure than other quantum secure direct communication protocol.
PEDAGOGICAL CONDITIONS OF COMPLEX MODELS’ IMPLEMENTATION TO FORM CADETS’ READINESS TO SOLVE COMPETENCE-ORIENTED PROFESSIONAL TASKS

Competence-oriented professional tasks reflect the substantive and procedural aspect of future officers training to fulfill official duties. We identified and justified the necessary and sufficient pedagogical conditions that in complex can increase the effectiveness of introducing into the educational process of military educational institutions a set of models to form students' readiness to solve competence-oriented professional tasks. The application of the following research methods contributed to the solution of the task: studying, analyzing and summarizing the experience of organizing and improving the educational process of military educational organizations, as well as training of the future military aviation specialist (military navigator and combat control officer). The complex of pedagogical conditions embodies: 1) the formation of the subjective cognitive experience of students using diagnostic problem solving; 2) the use of graphical methods of compression and presentation of educational information to form and develop a system of operational information on the cycles of disciplines; 3) the motivation growth of students through the use of checklists for the implementation of the reflection process of solving problems. The novelty of the results is determined by the combination and essence of the pedagogical conditions identified taking into account the methodological basis of the designed complex of models, features and patterns of both the educational process of military educational institutions of higher education of the RF Ministry of Defense, and the process of solving competenceoriented tasks by cadets along with their individual characteristics. The significance of the results obtained is that the introduction of the identified set of pedagogical conditions can increase the effectiveness of introducing a set of models of cadets’ readiness formation to solve competence- oriented professional tasks.
A Teaching Reform and Practice of Small-Class System in Optional Courses of Engineering Postgraduates

Abstract-Graduate education is the highest level of higher education.With the rapid development of economy and society in China, the scale of national graduate education is also expanding.The optional courses for engineering postgraduates are highly practical, and also there are usually many curriculums in major cultivation programs for engineering disciplines, resulting in the scattered graduates in various optional courses and the small teaching scale.In view of these characteristics, we take Modern Optimization Technology and Its Application, one optional course of the discipline of Control Science and Engineering at Dalian Maritime University, as an example and put forward three teaching reform ideas in order to improve the overall teaching quality.First, based on the small-class teaching methods, we elaborate the transformation of classroom teaching from traditional single subject of instructors to the double subjects of instructors and students, featuring weak-center distributed control teaching mode; Second, based on the scientific research project undertaken by instructors and combined with the port and shipping characteristics of Dalian Maritime University, we illustrate the research-and-discussion teaching of combining theory with practice, featuring guidance, learning, research and practice.The third is to put forward the diversified course assessments and closed-loop quality control system which are suitable for small-class teaching.After three years of practice, through questionnaires and final assessments, we can know that the overall teaching quality of this course is satisfactory, and the relevant methods and strategies can be widely applied to the teaching practice of other graduate courses.
Chat Bot for University Related FAQ’s Using Machine Learning

User interfaces for software applications can come in a variety of formats, ranging from command-line, graphical, web application, and even voice. While the most popular user interfaces include graphical and web-based applications, occasionally the need arises for an alternative interface. Whether due to multi-threaded complexity, concurrent connectivity, or details surrounding execution ofthe service, a chat bot based interface may suit the need. Natural language processing (NLP) is a form of artificial intelligence (AI) which is used to process the natural language data such as text, image, video, and audio. NLP act as a tool for computer to understand and analyses the real-time data in human language. The applications of NLP are machine translation, information extraction, text summarization, and question answering. Question answering (QA) is a well-researched problem in NLP. QA system is similar to information retrieval system. In QA system, the user will state a query to the system then the query will be