Reviewerly/exHarmony huggingface dataset:
Development of an electronic educational resource for secondary vocational education programs

One of the most important problems of modern education is the use of information and communication technologies in educational activities and the educational process for all types and at all levels of education. Special requirements are currently imposed on the electronic information and educational environment of an educational institution. The Krasnoyarsk Institute of Railway Transport has created an electronic educational resource for secondary vocational education programs, operating on the basis of LMS Moodle. This electronic educational resource is based on general didactic principles: scientific nature, accessibility, visibility, systematicity and consistency of training, strength of knowledge assimilation, intellectual potential. It was accepted that each electronic course within the resource should have the following qualities: a developed hypertext structure in the conceptual part, as well as in a logical structure of presentation, a user-friendly navigation system, the ability to use multimedia technologies, accessibility, links to literary sources, electronic libraries and sources of information on the Internet, effective feedback. The organizational measures for building the structure of an electronic educational resource and the stages of its implementation in the educational process for secondary vocational education programs are considered: sequential training of the teaching staff in the development of courses in the Moodle system, the development and adoption of the structure of an electronic educational resource, the development of requirements for electronic courses placed in the resource.
Railway Gate Control: An Efficient Design

Railway transportation is one of the most important land vehicles in the country. A train station scenario consists of a gate which is located two kilometers. The gatekeeper controls the gate based on information from railway station master regarding the presence of train. However, there are cases involving accidents at the railway gate especially due to the negligence of the railway gatekeeper which is controlled manually. The main objective of this work is to develop an automatic railway gate control using Arduino Atmega microcontroller. The developed prototype of automatic railway gate control are used Arduino Mega Atmega 2560 to control the overall gate control system, and Arduino Uno Atmega 328 to control the movement of the train. The develop system is achieved using wireless system. One unit of Xbee wireless acted as a transmitter to send a signal for the train arrival, and two units of Xbee are used as receivers of the signal from the transmitter. This wireless system is able to detect the presence of addressed objects within a frequency of 2.4GHz. The whole control system status using microcontroller is displayed on the LCD screen. The programming of the developed prototype is written using Arduino Alpha software. The prototype was test run using a model train and the system was able to function without manually controlling the gate.
Subject-Oriented Approach to the Analysis of the Crisis of Technogenic Civilization

The paper analyzes the logic of the formation of a subject-oriented approach, which includes activity and subject-activity approaches, on the basis of ideas about scientific rationality. The model of technogenic civilization ignores the subject-oriented approach. The subject-oriented approach is useful for ana­lyzing the crisis of technogenic civilization and searching for philosophical and methodological foundations for the formation of a model of post-techno­genic civilization. The focus is on the problems of organizing hybrid reality environments, including integrated subjectness, physical and digital realities, including the realities of artificial intelligence. The ontological paradox of the model of a technogenic civilization is formulated, which limits the control of the use of digital technologies and artificial intelligence in the interests of ensuring life, safety and development of social systems. The development and implementation of digital technologies and artificial intelligence is carried out in their own paradigms (morphological, logical, neurocybernetic, weak, strong, general artificial intelligence, etc.) in isolation from social values and paradigms of social systems. The technocratic approach leaves out of the con­trol of society the potential negative consequences of the use of digital tech­nologies and artificial intelligence and makes it difficult to develop and im­plement these technologies in the interests of the development and security of mankind. The problem of integrating the paradigms of social systems and artificial intelligence is urgent. Creation of appropriate conceptual and techno­logical levels and the establishment of an interface between them. To solve this problem on the basis of a subject-oriented approach, it is proposed to use a model of self-developing poly-subject (reflexive-active) environments (third-order post-non-classical cybernetics). The consequences of ignoring the sub­ject-oriented approach are illustrated by the example overcoming the threats of the COVID-19 pandemic.
Multi-UAVs Collaborative Cinematography for Complex Dynamic Scenes

<p indent="0mm">For real-time shooting of complex dynamic scenes, people still rely on controlling manually now. For automatically and completely shooting this kind of scene, a feasible solution is proposed, which divides the problem into 3 sub problems: scene segmentation, photography composition, and UAV (unmanned aerial vehicle) scheduling. First, on scene segmentation, <italic>K</italic>-means clustering is utilized with threshold to get a series of small segmented scenes. Each small scene is corresponded by a single UAV. Then, according to the location of these small scenes, the best shooting positions of UAVs are calculated, which ensure that each small scene is shot completely and meanwhile the pictures shot by different UAVs are relevant and holistic. Finally, in order to minimize the total flight distance and flight cost of the UAV group, the UAV flight scheduling problem is turned into a task assignment problem, where Hungarian algorithm is applied to determine the final shooting positions for each UAV to complete its corresponding shooting task. By this way, a complex dynamic scene can be continuously shot in real-time. Experiments in simulation program shows that the algorithm can provide effective control on multiple UAVs to continuously and automatically shoot a complex dynamic scene, including all the objects inside the scene from multi-view in real-time. By observing trajectories of UAVs and objects’ positions in shooting results, it is sure that proposed method produces results with much higher quality comparing with the naive method of average view division.
Constrained continuation of a physical model of brass instrument

Constrained continuation is a method allowing some constraints to be applied to bifurcation diagrams, while relaxing some parameters of the model, which then become new unknowns of the system. Applied to a physical model of wind instruments, this method allows some constraints to be applied to a solution branch, and the evolutions of the relaxed parameters to be computed along this solution branch. We apply this approach to a physical model of trumpet, where constraints on the playing frequency and on the amplitude of the internal pressure with respect to the mouth pressure are established from experimental measurements on a trumpet player. By relaxing different parameters of the model, it is possible to approximate the behavior of the trumpet player using constrained continuation, and to quantify the variations of the model parameters that are necessary to fulfill the constraints. Application to different trumpet models reveal differences between instruments, that are confronted to some preliminary perceptual evaluations.
Dimensional Expressivity Analysis, best-approximation errors, and automated design of parametric quantum circuits

The design of parametric quantum circuits (PQCs) for efficient use in variational quantum simulations (VQS) is subject to two competing factors.On one hand, the set of states that can be generated by the PQC has to be large enough to contain the solution state.Otherwise, one may at best find the best approximation of the solution restricted to the states generated by the chosen PQC.On the other hand, the PQC should contain as few parametric quantum gates as possible to minimize noise from the quantum device.Thus, when designing a PQC one needs to ensure that there are no redundant parameters.The dimensional expressivity analysis discussed in these proceedings is a means of addressing these counteracting effects.Its main objective is to identify independent and redundant parameters in the PQC.Using this information, superfluous parameters can be removed and the dimension of the space of states that are generated by the PQC can be computed.Knowing the dimension of the physical state space then allows us to deduce whether or not the PQC can reach all physical states.Furthermore, the dimensional expressivity analysis can be implemented efficiently using a hybrid quantum-classical algorithm.This implementation has relatively small overhead costs both for the classical and quantum part of the algorithm and could therefore be used in the future for on-the-fly circuit construction.This would allow for optimized circuits to be used in every loop of a VQS rather than the same PQC for the entire VQS.These proceedings review and extend work in [1,2].
Application of Binary Searching Algorithm for File Search on Archivering Information Systems

Archiving files and searching files that are still using manual or not computerized methods. The purpose of this research is to create a website-based filing system that has a file search feature with a fast and accurate time of the many files that have been archived. To find files quickly and accurately from a lot of data, we need an algorithm, the binary searching algorithm. This algorithm is a search algorithm that can search for files in a fast time and has a lighter amount of computing. From the results of testing the search speed using a binary search algorithm, the data search speed test is 100 document archive data, with the name of the data sought is population data. Searching using an algorithm has a time of 148 / ms while searching without using an algorithm is 799 / ms. From testing the search speed using a binary search algorithm this is 95%
Factors Influence Development of Village Libraries

Background of the study: The village library is an interesting type of public library for research studies. The uniqueness of the village library lies in the role and function that is close to the life of the community in the village. The village library has a strategic role in developing human resources in the village.&#x0D; Purpose: The purpose of this study is to describe the factors that influence the development of village libraries in the Sleman Regency. The purpose of the next research is to discuss the relationship between the factors that are the driving forces and inhibitors of libraries in managing village libraries.&#x0D; Method: The approach method in this research uses descriptive qualitative. Descriptive qualitative research in which the researcher draws and extracts information from the phenomenon of village library development factors. The research location is in the village library in Sleman Regency. The informant selection technique uses snowball sampling as the main informant, which is then supplemented with proposive sampling.&#x0D; Findings: The results found internal factors that influence the development of the village library organization, among others, support of human resources, the formation of organizational structure, commitment from various stakeholders, internal and external regulations, allocation of funding for routine libraries, the use of technology, collaboration and networks built together with government and non-government institutions, the ability to analyze the needs of the community and innovation in dealing with the challenges of the village library, the relationship between these factors can support the success of the administration and management of the village library.&#x0D; Conclusion: Studies in village libraries in Sleman Regency show that there are village libraries that are capable of making changes (transformation), but there are also libraries that are not yet capable of transforming libraries.
Digital India: Opportunities and challenges

Digital India: Opportunities and challenges1 Dr. Sapana Pandey 1 Associate Prof. English, Govt. Degree College, Gosaikheda,Unnao-IndiaReceived: 07Jan 2019, Accepted: 11 Jan 2019 ; Published on line: 15 Jan 2019AbstractDigital India in an Umbrella program, a campaign launched by the government of India to ensure that government services are made available to citizens electronically by improving online infrastructure and increasing internet connectivity. The objective behind this program is to visualize nation at the peak of progress digitally as well as economically. For its successful implementation, its necessary to cross a numbers of road blocks ahead. A lot of efforts, devotion and dedication from the side of each and every citizen can make this dream of “DIGITAL INDIA” true. Lets unite in such a beautiful mission of government.Key Words:- Digital Infrastructure, road blocks, implementation Digi-locker
Application and Research of Computer Network-based Teaching Platform in Higher Vocational English Blended Teaching

With the rapid development of network information technology, hybrid teaching based on computer network teaching platform has become a new teaching mode. Based on constructing the application foundation of blended English teaching in higher vocational colleges, this paper expounds the classification and content of network teaching platform, and explores the effective ways and methods of blended teaching, so as to effectively construct the blended English teaching mode in higher vocational colleges.
Implementing Query Terms Linked to Virtual Databases by Metaheuristic Techniques

In general case, the database trigger may be quite applicable to signified queries to validate the database requests. Specifically, these may be essential to adopt search mechanisms to identify the query terms. In such cases it may also be required to eradicate ambiguities during updates by checking consistencies, durability. Many database systems support aggregate functions as it may be really linked to statistical analysis of large scale data. Again as per the requirement and schedule, multilevel aggregation may be thought of towards report generation and implementation of join predicates. In case of complexity, direct requests may be accessed to schedule the entire database operations. While optimizing the database queries, alternative query plans may be thought of implementing specific routines to eradicate the duplicity of query terms. It may be quite possible to containerize the query plans linked to several data servers exploring the inter operator parallelism. Also the assemblers linked to the query plans in the servers may steer the process accordingly. Considering the implementation mechanisms of database query plans inside a cloud storage system, the data may be automatically partitioned and replicated. The servers may change dynamically the existing load in response to the query plans. The queries as well as the transactions may be uncommon during optimization process and applications may be communicated following standard activity protocols linked to the database servers. Linking the query terms to the databases, it may also be required to incorporate metadata towards plan execution. Many times transactional database applications linked to relational cloud may have the provision of configuring and accessing the data and may face the challenges like scalability and privacy. To overcome these issues, the tasks may be relocated and rearranged linked to database servers by which better performance may be achieved dealing with complex transactions. Also the aggregation methods or techniques linked to data partitioning may enable the structured queries to yield better performance. In this paper it is intended to obtain query terms along with the threshold values linked to virtual databases.
Investigation of Influence of Identification Precision on Modeling Accuracy in Belief Rule Base

Many current Belief Rule Base (BRB)-related training and learning studies have been focused on BRB parameter, BRB structure learning, or their combination. Comparatively, the number and utilities of scales have not been optimized mainly because they do not have direct influence on the structure of BRB. Nonetheless, it is not clear how the number and utilities of scales would affect the modeling accuracy. Therefore, two hypotheses are tested in this study, namely, whether including the utilities of scales would affect the modeling accuracy, and whether the number of scales would affect the modeling accuracy. With a practical pipeline leak detection case, it is validated that: (1) the utilities of scales do not have direct influence on the modeling accuracy, and (2) the number of scales do not have direct influence on the modeling accuracy. Further t-tests are conducted, which also produces consistent results.
End-to-End Polarization Error Analysis of a Terrestrial Free-Space Quantum Communication Link

Quantum bit errors in a polarization-entanglement-based free-space quantum communication system are analyzed. Our results reveal the feasibility of static free-space entanglement distribution networks without requirement for complex active polarization control.
Defining What We Study: The Contribution of Machine Automation in Archaeological Research

In the 21st century, advances in computer science have impacted archaeology, most recently in the development of automated algorithms. Like most technology, these methods have been the source of ongoing debate, particularly in their utility for archaeology. Here, I focus on a contribution of automation and machine learning in archaeology that is often overlooked: the ability of computer algorithms to codify unambiguous, semantically consistent definitions. Archaeology has long struggled with establishing consistent characterizations of the phenomena it studies. As such, I argue that the procedures used for automated methods are useful for archaeologists – even outside of automated analyses – by allowing for the creation of consistent definitions which permit for reproducible research designs.
Feature Selection using ELM Classifier

It has been realized that feature subset selection is running with a lot of challenges even though many efforts have been made so far for small to large scale dimensional datasets. But for larger dimensional datasets a very rare feature subset selection techniques have been developed with their own set of constraints. In this work, we propose a novel two steps feature subset selection for high dimensional datasets. In the first step the features in the database are ranked and are arranged as per their rank from maximum to minimum. Then few maximum ranking features are presented to Extreme Learning Machine (ELM) for classification and the minimum subset that performs well is selected. The proposed approach is evaluated with a few benchmarking highly skewed dataset retrieved from University of California, Irvine (UCI) repository. In addition to classification accuracy, four other performance metrics such as sensitivity, specificity, Jaccard index and M-Estimate also used to validate the results. The experimental study is encouraging us to pursue further research in high dimensional skewed data.
Eudaimonia among Mathematics Teachers and its Correlates

Happiness and satisfaction with life are vital to the total well-being of an individual. In teaching, the attitude and the emotional state of the teachers affect their performance and their relationship with the learners. Thus, this study was conducted to determine the factors and the level of eudaimonia of the mathematics teachers. The factors included personal profile in terms of age, gender, position, length of service, salary, and teaching load, and school profile which includes class type, type of school, school population, book-student ratio, and school facilities. However, eudaimonia was measured in terms of the happiness index and level of satisfaction with life. Forty randomly selected mathematics teachers enrolled in the graduate studies of a state college in Oriental Mindoro were the respondents of the study. The instrument used was composed of four parts: survey form for personal, and school profile, the Oxford Happiness Questionnaire, and the Satisfaction with Life Scale. The data were treated using mean, frequency-percentage, correlation, coefficient of determination, Analysis of Variance, and stepwise regression. The results showed that personal, and school profiles were not related to the respondents’ happiness. However, the type of school, school population, and salary were found to be determinants of satisfaction with life.
A new Method for Identification of In-pulse Modulation of Radar Signals

In order to resolve the problem of radar in-pulse modulation feature recognition under low signal-to-noise ratio, a new automatic recognition algorithm was proposed. Firstly, the phase difference method and short-time Fourier transform (STFT) are improved to improve the feature extraction ability of phase coded signal and frequency modulated signal respectively. Then, the hierarchical decision-making method is used to recognize the in-pulse modulation feature. The simulation results show that the algorithm has obvious classification characteristics, and the total recognition result is close to 100% when the SNR is 3dB. Moreover, the algorithm requires less computation, so it has certain application value.
A Cross-Jurisdictional Analysis of the “Person Skilled in the Art” (PSITA)/ “Person Having Ordinary Skill in the Art” (PHOSITA) standard under Patent laws.

This research paper demonstrates a cross-jurisdictional analysis of the “Person Skilled in the Art” (PSITA) / “Person Having Ordinary Skill in the Art” (PHOSITA) standard under Patent laws. In order to receive a grant of a patent, it is necessary for the invention to be “novel”, have an “inventive step” and be capable of “industrial application”. It is also necessary for the invention to be sufficiently disclosed in the patent application. All the above-mentioned factors are judged by a hypothetical legal construction, i.e. the PSITA/PHOSITA. However, each jurisdiction has set its own standard for the PSITA/PHOSITA, leading to differential patenting standards across all the jurisdictions. Therefore, this research paper aims to do a comparison in the skill standard of the PSITA/PHOSITA in India, U.S.A and U.K. This topic is of great importance as it is a neglected area in the field of Patent law. The aim is to find out which jurisdiction has set the most favorable skill standard which should be followed by others as well. The outcome of the research paper is that the skill standard set by India is the most logical as they have set a higher standard to assess the Inventive step and have diluted the standard when it comes to disclosure requirements. Further, developing a uniform skill standard to be followed by all jurisdictions should also be strongly considered.