Reviewerly/exHarmony huggingface dataset:
CAPTCHA Design: A Novel Security Method using Sindhi Language

CAPTCHA is one of the most widely used security on internet now a day’s. This CAPTCHA test is used against the Bots that creep into website and perform automatic registration. Among different type of CAPTCHAs one of oldest and easiest method is text based. Text based CAPTCHAs are available in the market in different languages i.e. English, Arabic, Urdu. This paper focuses on design of text based CAPTCHA as security. The proposed design of the CAPTCHA uses Sindhi which is an Arabic scripting language named as CaSN i.e CAPTCHA as Sindhi Numbers. CaSN focuses on the Sindhi Language numbers to generate a CAPTCHAimage for the users. An algorithm is used to generate the CaSN image. In this regard, the evaluation was performed on 290 participants from local areas of Sindh, Pakistan. The study produced prominent results after performing CaSN test among participants of the study. The study was limited among local areas of Sindh, Pakistan. The limitation of the study is to provide a new context in CAPTCHA especially for Sindhi speaking people.
The Value Creation Determinants of the Global Software Engineering Industry

Every requirement in the software application does not add value to the end users equally where the stakeholders are benefited through them. Majority of the current software engineering practices are formed and done in a value neutral way. With the recent demand for the global software engineering, many organizations have decided to either initiate their own technology centers in the low-cost countries or to partner with outsourced companies to get the benefits of it. However, the practitioners tried applying the traditional software development processes without a proper customization of them to best suit for the distributed teams. Due to the nature of this industry, those traditional processes have further eroded the value with unnecessary checkpoints and gates. This research therefore was carried out to identify the value creation dimensions and their influence creating value with special reference the global software engineering industry. For that, a systematic literature review was carried out and findings were categorized to five areas based on the research questions. They are benefit realization in the delivery process, eliciting and reconciling the requirements for stakeholder value proposition, business case analysis against the business processes, assessment of the value, risk, and opportunity through the frameworks and finally value based monitoring and control through the software development methodology. Mapping the development processes against these areas can change the value addition on the global software engineering industry.
Analysis on the Effect of Dropout as a Regularization Technique in Deep Averaging Network

Deep neural networks are powerful machine learning systems and many deep learning models for natural language processing tasks focus on learning the compositionality of their inputs.DAN model relies on both simple vector operations and neural network-based models for learning the compositionality.The depth of the model allows it to capture subtle variations in the input even though the composition is unordered.However, overfitting is a serious problem in any deep neural network.Dropout is a technique for addressing overfitting in large neural networks.The idea is to randomly drop neurons and their connections from the neural network during training phase.This prevents neurons from co-adapting.DAN includes a variant of dropout where individual words are dropped rather than individual neurons of the feed forward network.But since this technique has the potential to drop critical words it may have significant impact on the performance of the model in text classification tasks.This paper deliberates on this drawback and the impact of dropping individual neurons rather than word-level dropout.
Methods of implementing interdisciplinary links between physics and computer science

The article discusses issues related to the training of future teachers through the implementation of a transdisciplinary approach to teaching physics in tandem with computer science. The research project is analyzed as the main method contributing to the successful mastery of physics and computer science by future teachers. General principles and criteria for the selection of educational material for an educational program of teaching physics in tandem with computer science have been developed. The stages of effective teaching physics together with computer are presented. Recommendations on for the implementation of interdisciplinary connections in teaching physics in tandem with computer science for the preparation of future teachers have been developed. The connections between knowledge and the educational process in the preparation of future teachers of the physics course through the actualization of interdisciplinary connections and the development of skills to diversify the application of the knowledge gained are considered. The modern stage of development of science is characterized by interdisciplinary connections, meta-interaction of sciences, therefore the relevance of intersubject and intrasubject connections in the educational process is quite high. This contributes to the generalization and deepening of students' competencies in the development of skills of independent cognitive activity. Accordingly, intersubject and intrasubject connections are the most important condition and result of an integrated approach in teaching students. The methodology and the peculiarity of its application for students in the study of information-physical disciplines are disclosed, a theoretical basis for constructing a system of tasks is given. Keywords: physics, informatics, methods, research project, modelling, cross-curricular connections, approach, principles.
ConSTR: A Contextual Search Term Recommender

In this demo paper, we present ConSTR, a novel Contextual Search Term Recommender that utilises the user&#x0027;s interaction context for search term recommendation and literature retrieval. ConSTR integrates a two-layered recommendation interface: the first layer suggests terms with respect to a user&#x0027;s current search term, and the second layer suggests terms based on the users&#x0027; previous search activities (interaction context). For the demonstration, ConSTR is built on the arXiv, an academic repository consisting of 1.8 million documents.
Peer Review Declaration

All papers published in this volume of IOP Conference Series: Earth and Environmental Science have been peer reviewed through processes administered by the Editors. Reviews were conducted by expert referees to the professional and scientific standards expected of a proceedings journal published by IOP Publishing. • Type of peer review: Single-blind • Describe criteria used by Reviewers when accepting/declining papers. a) An articles will be accepted if they meet the following requirements: match the article template, number of pages (max 10 pages), grammar, abstract, pictures and captions, tables and captions, references, article contents (result and discussion), abstracts, methods, and conclusions. b) An articles will be rejected (declined) if they do not meet the following requirements: Doesn’t match the article template, number of pages (max 10 pages), grammar, abstracts, pictures and captions, tables and table captions, bibliography, contents of the paper, abstracts, methods, and conclusions. As an additional, if the similarity index more than 30% checked by turnitin (plagiarism checker) the article will be also rejected. Was there the opportunity to resubmit articles after revisions? Yes, there was opportunity to resubmit an article after revisions. • Conference submission management system: Konfrenzi Automated Conference System. • Number of submissions received: 110 articles • Number of submissions sent for review: 110 articles • Number of submissions accepted: 101 articles • Acceptance Rate (Number of Submissions Accepted/Number of Submissions Received X 100): (101/110) x 100% = 91.8% • Average number of reviews per paper: 2 (twice) • Total number of reviewers involved: 20 people. • Any additional info on review process (ie plagiarism check system): Plagiarism check was conducted by turnitin for all articles. For similarity index more than 30%, the article will be rejected before review. • Contact person for queries: Betrin Natasya: natasya99@pasca.unhas.ac.id Graduate School of Hasanuddin University (Main Campus) JL Perintis Kemerdekaan KM 10. Makassar, South Sulawesi 90245 Sri Widodo: srwd007@yahoo.com Graduate School of Hasanuddin University (Main Campus) JL Perintis Kemerdekaan KM 10. Makassar, South Sulawesi 90245
GUINEA: Conde Wins

Africa Research Bulletin: Political, Social and Cultural SeriesVolume 57, Issue 10 p. 22901C-22903A Internal Developments GUINEA: Conde Wins First published: 24 November 2020 https://doi.org/10.1111/j.1467-825X.2020.09702.xRead the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinked InRedditWechat No abstract is available for this article. Volume57, Issue10November 2020Pages 22901C-22903A RelatedInformation
Research on How to Use MICE Measures for Inter-Korean Exchange and Cooperation: Modified Importance-Performance Analysis(IPA)

The purpose of this research is to analyze how to use MICE measures for inter-Korean exchange and cooperation. According to the results of the importance-performance analysis (IPA), it is necessary to recognize the necessity of MICE between the two Koreas and to be prepared and planned. The following are the conditions and measures for MICE in inter-Korean. First, the hegemony competition between the United States and China is a challenge. However, it will be necessary to step up the phases to recognize the reality and promote common interests between the two Koreas. Second, MICE measures in inter-Korean exchange are necessary for cooperation, preparation, and planning for the future. Third, in order to promote cooperation in MICE, stable and sustainable institutionalization is needed. Fourth, it is possible to consider a joint cooperation model through international organizations and specialized overseas PEOs and PCOs.
Development of A Geographic Information System for The Distribution of Parks in Kediri City

The Department of Environment, Hygiene, and Parks is an agency that takes care of cleanliness and landscaping in Kediri. The distribution of parks in the Kediri City area is data and managed using a manual system using Microsoft Excel to get results in reports. For this reason, the Department of Environment, Cleanliness, and Parks requires an application that can be used to help manage data on the distribution of parks in the Kediri City area. The required system can manage park distribution data, display a park distribution map, and display the scale of conditions. The Geographic Information System for the Distribution of Parks in the City of Kediri was designed and built to meet the needs of the relevant agencies. Users of this system consist of visitors, admins, and heads of services. The system is designed and implemented using PHP, HTML, CSS, JavaScript, Mysql, and Laravel Framework, then integration with Google Maps API. The final result of this research is a Geographic Information System for the distribution of web-based parks in the City of Kediri using the Google map API as a provider of free maps that are integrated into the website. In addition, of course, it provides information about the distribution of the park and the scale of conditions.
G<sup>2</sup> smooth, curvature constrained, local motion planning for automated vehicles

A new local motion planning method for automated vehicles in structured road scenarios is considered. Utilizing three consecutive clothoids, it is shown that real time generation of feasible trajectories for automated vehicles is possible. Separate path generation and consecutive velocity planning is considered. The path planning is reduced to a small set of nonlinear algebraic equations, while the velocity planning comprised of forward, backward and joint iteration processes. By varying some continuous parameters, multiple feasible plans can be generated and one of those can be chosen based on multiple criteria. A left turn at an intersection is used as an illustrative example.
Creating HTTP Clients

In this chapter, I describe the standard library features for making HTTP requests, allowing applications to make use of web servers. Table 25-1 puts HTTP requests in context.
Minimization of errors in discrete wavelet filtering of signals during ultrasonic measurements and testing

Error minimizing methods for discrete wavelet filtering of ultrasonic meter signals are considered. For this purpose, special model signals containing various measuring pulses are generated. The psi function of the Daubechies 28 wavelet is used to generate the pulses. Noise is added to the generated pulses. A comparative analysis of the two filtering algorithms is performed. The first algorithm is to limit the amount of detail of the wavelet decomposition coefficients in relation to signal interference. The minimum value of the root mean square error of wavelet decomposition signal deviation which is restored at each level from the initial signal without noise is determined. The second algorithm uses a separate threshold for each level of wavelet decomposition to limit the magnitude of the detail coefficients that are proportional to the standard deviation. Like in the first algorithm, the task is to determine the level of wavelet decomposition at which the minimum standard error is achieved. A feature of both algorithms is an expanded base of discrete wavelets ‒ families of Biorthogonal, Coiflet, Daubechies, Discrete Meyer, Haar, Reverse Biorthogonal, Symlets (106 in total) and threshold functions garotte, garrote, greater, hard, less, soft (6 in total). The model function uses random variables in both algorithms, so the averaging base is used to obtain stable results. Given features of algorithm construction allowed to reveal efficiency of ultrasonic signal filtering on the first algorithm presented in the form of oscilloscopic images. The use of a separate threshold for limiting the number of detail coefficients for each level of discrete wavelet decomposition using the given wavelet base and threshold functions has reduced the filtering error.
ORGANIZATIONAL AND SOCIO-PEDAGOGICAL ASPECTS OF THE IMPLEMENTATION OF CHANGES IN THE LEGISLATION OF THE RUSSIAN FEDERATION ON EDUCATION ON THE EXAMPLE OF A UNIVERSITY

The article examines a number of methodological, methodological and organizational issues of the implementation of upbringing within the educational process in accordance with the changes in the legislation of the Russian Federation on education on the example of a university, provides a normative and organizationally substantiated version of the working program of upbringing.
Bi-shifting semantic auto-encoder for zero-shot learning

&lt;abstract&gt;&lt;p&gt;Zero-shot learning aims to transfer the model of labeled seen classes in the source domain to the disjoint unseen classes without annotations in the target domain. Most existing approaches generally consider directly adopting the visual-semantic projection function learned in the source domain to the target domain without adaptation. However, due to the distribution discrepancy between the two domains, it remains challenging in dealing with the projection domain shift problem. In this work, we formulate a novel bi-shifting semantic auto-encoder to learn the semantic representations of the target instances and reinforce the generalization ability of the projection function. The encoder aims at mapping the visual features into the semantic space by leveraging the visual features of target instances and is guided by the semantic prototypes of seen classes. While two decoders manage to respectively reconstruct the original visual features in the source and target domains. Thus, our model can capture the generalized semantic characteristics related with the seen and unseen classes to alleviate the projection function problem. Furthermore, we develop an efficient algorithm by the advantage of the linear projection functions. Extensive experiments on the five benchmark datasets demonstrate the competitive performance of our proposed model.&lt;/p&gt;&lt;/abstract&gt;
Application of Computing Platform in Cloud Computing

With the development of computer network technology, network education has emerged. The traditional physical education has a strong practicality, which is an interactive activity between teachers and students. At the same time, physical education teaching also has a strong demonstration and imitation. Based on these characteristics, the application of multimedia network teaching in physical education is inevitable. The multimedia network teaching has broken through the traditional physical education teaching mode and has supplemented the traditional physical education teaching insufficiency.
USING COVID19, OPEN DATA AND PYTHON PROGRAMMING AS AN OPPORTUNITY TO BRING GEOSCIENCE PROJECTS TO STUDENTS

The best way for students to learn and sustain interest in geosciences is to undertake practical projects. It allows them to merge their interests, be it in programming, big data, anthropogenic impacts, or policy advocacy with geosciences. On 11 March 2020, the World Health Organization declared Covid19 a pandemic. Countries around the world rushed to declare various states of emergencies. Canadian provinces also implemented some emergency measures including closure of schools to check the spread of Covid19. I used this opportunity to study the changes in seismic vibrations registered in Canada before, during, and after the lockdown using data from land-based seismic stations. I analyzed continuous seismic data for 6 Canadian cities: Calgary and Edmonton (Alberta), Montreal (Quebec), Ottawa and Toronto (Ontario) and Yellowknife (Northwest Territories). These cities represented the wide geographical spread of Canada. The source of data was seismic stations run by the Canadian National Seismograph Network (CNSN). Python and ObSpy libraries were used to convert raw data into probabilistic power spectral densities (PPSDs). The seismic vibrations in the PPSDs that fell between 4 Hz and 20 Hz were extracted and averaged for every two weeks period to determine the trend of seismic vibrations. The lockdown had an impact on seismic vibrations in almost all the cities I analyzed. Except for Ottawa, the seismic vibrations decreased between 14% - 44% with the biggest decrease in Yellowknife in the Northwest Territories. In the 3 densely packed cities with a population of over 1 million - Toronto, Montreal, and Calgary, the vibrations dropped by over 30%. To enable other students to undertake similar projects for their cities, I created a comprehensive online training module using Jupyter notebooks available on github. In a couple of hours, students can learn about seismic vibrations, how to obtain datasets, and analyze and interpret them using Python. They can share their findings with local policymakers so that they become aware of the effectiveness of the lockdown imposed and are better prepared for lockdowns in the future. It shows that when we make data and technology accessible to all students can undertake curiosity-based learning.
Nanotechnology Performance Analysis Using Topic Modeling and Social Network Analysis: Focusing on NTIS Data in Korea (2015–2019)

In this study, in order to analyze nanotechnology trends, topic modeling analysis and text network analysis were conducted by collecting nanotechnology summary information that was developed between 2014 and 2019 and registered in NTIS. First, key keywords were selected through topic modeling analysis, and then a text network was built based on these keywords. As a result of classifying topics through topic modeling analysis, topics were classified into five topics based on the five major nanotechnology fields classified by the government. In addition, as a result of conducting a network analysis to examine the factors that affect nanotechnology performance, carbon, battery, metal, electrode, fiber, substrate, and graphene were found as factors that mainly influence nanotechnology. Next, as a result of analyzing the nanotechnology field according to the time period, the five major fields were from 2014 to 2015 (time 1), 2016 to 2017 (time 2), and 2018 to 2019 (time 3). The results of technology development have occurred evenly. However, it was confirmed that the degree of technology development by field differs depending on the period. As for the text network analysis, the most active development was in the nano-energy and environment field in the period 1, the nanomaterials and the nanodevices in the period 2, and the nanomaterials in the period 3.
Research on Measurement Method of Adaptive Driving Beam

In recent years, adaptive driving beam has become a development trend of automobile headlight, which does not dazzle the drivers of other vehicles, and at the same time guarantees the effect of driving beam to the greatest extent. This paper introduces testing method detail of main performance of adaptive driving beam which required in PRC regulation standard GB4785-2019. In order to meet customers’ needs better, four scenes and testing methods of adaptive driving beam are studied, such as detection distance for pedestrian, detection for electric bicycle light, minimum activating speed and activating under street light.
Demystifying the Cult of Cryptocurrency: A Discourse on Bitcoin

The standout revolution of the 21st century era is arguably the blitzkrieg proliferation of technology. In this light, it is quite intriguing to deliberate upon the digital currencies which have triggered a seismic shift in the way businesses are being conducted and has brought a wholesome metamorphosis in the modus vivendi of the common man. The so called “cryptocurrencies” have garnered prodigious attention in the past few years. The cryptocurrency market is deluged with several other digital currencies intending to make inroads in the market. In this context, it is imperative to throw light on Bitcoin which was the first and presently the leading decentralized cryptocurrency. The aim of the present study is to understand the essence of Bitcoin along with its pros and cons and examine if it could exist for the long haul.