Reviewerly/exHarmony huggingface dataset:
Supply Chain with Blockchain Technology-Based at Automotive Industry

The research of adoption Supply Chain Management System (SCMS) Blockchain Technology-based in automotive industry still infancy. Based on several research reports recently, the significant development of automotive market causes several issues in SCMS automotive components industry such as fake component. However, fake component might possible to create problems from financial implication until loss of life. This research tries to elaborate Blockchain Technology (BT). Blockchain Technology as identified might be possible as a way out for development of SCMS automotive components. There are several research questions in this research such as how BT can facilitate the SCMS issues? What is the BT adoption success factor for implementation of BT in SCMS? Therefore, this study is essential for industry to develop SCMS by adopting Blockchain technology. The study method used systematic literature review (SLR) know as PRISMA technique to gather all contemporary researches information from twelve famous publishers and an international index journal. Levitt Diamond model (people, process, technology and organization) will be used to facilitated. The study found several essential factors and the influence of the critical factor into People, Process, Technology and Organization framework. Ultimately, 30 essential factors obtained for Blockchain adoption in SCMS automotive components industry, 3 essential factors impact to People, 20 essential factors impact to Process, 15 essential factors impact to Technology and 9 essential factors impact to Organization..
Improving Back-End Services for Community Enterprise Through using Thai Chatbot

Nowadays, chatbots are widely used in business and marketing. Especially in the front-end of application is used to the automated customer response service. This research presents Thai chatbot that helps increase the efficiency of usage for community enterprise entrepreneurs. This system focusing on back-end services such as payment status, product delivery, and product sales information. It can help entrepreneurs to inquire or check their selling information through a Thai chatbot using ontology technology to help identify messages from users and matching the results from the developed web services. It can classify the Thai words or messages from users say and respond to the relevant back-end services to the user with an efficiency value of over 90%. As a result of black box testing, Thai chatbot had the highest effectiveness in improving the back-end service for community enterprise entrepreneurs.
The Web: A Means of Delivering and Publishing Serials with an Examination of Copyright Issues

Economic forces have created the need for librarians to explore new methods of delivering information. Technological developments have created the means for librarians themselves to move into electronic publishing to increase cost-efficiency. A new consortium 346model is proposed in which members would both generate scholarly work and access it at a lower cost. Included are overviews of scholarly publishing, copyright issues, technological feasibility, value added features, and the effects of the proposed consortium. [Article copies available for a fee from The Haworth Document Delivery Service: 1-800-342-9678. E-mail address: getinfo@haworth.com]
Conclusion and Future Work

In this book, we have analyzed the prospect of realizing practical algorithms while working on FHE data. In this regard, we briefly reiterate our main contributions in this chapter.
Once a physicist: Chris Lucas

Chris Lucas is a research engineer in the AI research team at Babylon Health. His work covers the research and application of a wide range of machine-learning techniques.
ЭКСТРАПОЛЯЦИЯ ПРОДУКТИВНЫХ ПРАКТИК ЗАРУБЕЖНЫХ СТРАН В УСЛОВИЯХ СТАНДАРТИЗАЦИИ ПРОФЕССИОНАЛЬНОЙ ДЕЯТЕЛЬНОСТИ ПЕДАГОГА

Introduction. The transformation of a teacher’s professional activity in the context of standardization is a priority objective of Russian education. The paper aims to determine the aspects of extrapolation of teacher’s professional activity standardization practice in foreign countries into the practice of an educational organization. Methods. A comparative analysis of foreign teacher’s professional standards revealed their common and distinctive features. It also identified universal and contextual characteristics of conditions for the foreign experience extrapolation. The extrapolation method established the current strands of extrapolation and productive practices of foreign experience for translation into Russian education. The modeling made it possible to design changes in the teacher’s activity and develop a concept of its transformation under standardization. Results. Analysis of theoretical and normative sources on the adoption of teacher’s professional standards in the Russian Federation indicates that the experience of teacher’s professional activity standardization in foreign countries is relevant for Russian education. In this regard, a concept of teacher’s activity transformation to the teacher’s professional standard in an educational organization is proposed. It rests on the extrapolation directions (motivational aspect, methodological support, education technology, and administrative resource of an educational organization) and the productive experience of foreign countries – Australia, England, Hong Kong, and Singapore. Conclusion. The relevance of the presented research materials is determined by the potential resource of extrapolation of foreign experience into the practice of an educational organization, against the background of disregard of productive practices of teacher’s professional activity standardization in foreign countries and procrastination of the adoption of the teacher’s professional standard in the Russian Federation.
Feature extraction-based image steganalysis using deep learning

The innovations in advanced information technologies has led to rapid delivery and sharing of multimedia data like images and videos. The digital steganography offers ability to secure communication and imperative for internet. The image steganography is essential to preserve confidential information of security applications. The secret image is embedded within pixels. The embedding of secret message is done by applied with S-UNIWARD and WOW steganography. Hidden messages are reveled using steganalysis. The exploration of research interests focused on conventional fields and recent technological fields of steganalysis. This paper devises Convolutional neural network models for steganalysis. Convolutional neural network (CNN) is one of the most frequently used deep learning techniques. The Convolutional neural network is used to extract spatio-temporal information or features and classification. We have compared steganalysis outcome with AlexNet and SRNeT with same dataset. The stegnalytic error rates are compared with different payloads.
New Products

Native integration is now available between the Keithley DAQ6510 and DMM6500 instruments with Initial State, an IoT dashboard for data streaming and visualization for remote data access. Keithley and Initial State, both Tektronix companies, collaborated to integrate Initial State's data streaming and vi-sualization platform with the Keithley graphical DAQ6510 and DMM6500. This integration gives a DAQ6510 / DMM6500 remote monitoring capability, real-time interactive dashboards, triggering and the ability to share data—all without the need for a PC or external software.
Prediction and Bayesian inference

Most textbooks on regression focus on theory and the simplest of examples. Real statistical problems, however, are complex and subtle. This is not a book about the theory of regression. It is about using regression to solve real problems of comparison, estimation, prediction, and causal inference. Unlike other books, it focuses on practical issues such as sample size and missing data and a wide range of goals and techniques. It jumps right in to methods and computer code you can use immediately. Real examples, real stories from the authors' experience demonstrate what regression can do and its limitations, with practical advice for understanding assumptions and implementing methods for experiments and observational studies. They make a smooth transition to logistic regression and GLM. The emphasis is on computation in R and Stan rather than derivations, with code available online. Graphics and presentation aid understanding of the models and model fitting.
Matrices

Matrices are mathematical structures that have become increasingly important recently. They are starting to be used in areas like data science and problems in machine learning.
Mining annotators' common knowledge for automatic text revision

Many natural language understanding tasks require clean input textual data in order to train systems with the highest precision. Such data, usually collected from surveys or the web, are manually processed in order to remove morphosyntactic variability, spelling errors and incoherence in naming entities. Since these operations are conducted by domain experts and annotators, they are usually costly and time-consuming. Furthermore, this scenario is very common in industrial tasks where annotators are hired. In this context, we propose an innovative and simple method that extracts correction patterns, i.e., <expression, replacement> pairs, where expression is a matching string and replacement indicates how to re-write the matched string. Such tool can be used both to evaluate annotators (since it provides a deep understanding of their work) and to automatically revise the texts. We extensively tested our method in a multilingual setting, obtaining outstanding results over baseline approaches.
Secure Online E-voting Protocol Based on Voters Authentication

Although there are many e-voting systems present by analysis it is found that they all are vulnerable to privacy risk and weakness of unreliable protocols and denial of service attacks. Here is the need to implement the public key encryption e-voting system. The primary objective of this system is to make ensure reliability, privacy and security of the protocol and voting is convenience to users. As a result of the specification requirements, the system was summarized into three parts: access control process which limit access to a system or to any other resource. Secondly, voting process was done by encrypting voter's electronic ballot before submitting to the server. Finally, the final result was sorted through deciphering the received encrypted information. The System is more efficient than other E-Voting systems, since voters can vote from their devices without extra cost and effort, and encryption ensures the security. A pseudo random number is generated using the OTP principle, is used by the voter for authentication purpose while casting the vote. These techniques provide a secure platform, thus exceeding vulnerabilities of the traditional voting system.
Multilevel Fraud Detection System using Voting Techniques

Fraud detection is an enduring topic that pose a threat to the information security systems. Data mining helps detect and rapidly identify fraud and take instant action to reduce losses. It analysis the various forms of attacks through classifications algorithms of data mining. In this dissertation the data set of NSL-KDD is examined in identifying anomalies in network traffic patterns and the importance of various classification techniques is studied. Firstly the data is classify in two classes Normal and Anomaly and after then the anomaly data categories in various Attack forms i.e Probe, U2R, R2L, DOS to detect the fraud. The analysis performed through feature selection and classification techniques present in WEKA tool of data mining. The features are extracted through feature selection (CfsSubsetEval, InfoGain, FilterSubsetEval and FilterAttributeEval) methods from 41 attributes to 11 attributes using CfsSubsetEval with best first Search and after extraction the features the classification algorithms(Naïve Bayes, RC, RT, RF and DT) applied for finding Accuracy. The best Result in terms of Accuracy is finding through the voting method using Random Committee and Random Forest is 99.94%.
Construction of Codes from Symmetric Groups

Let FSn be semisimple group algebra where Sn denotes the Symmetric group of degree n. We obtain the complete set of irreducible linear idempotents of the group algebra FSn. We also find the dimension and minimum distance of the group codes over the group Sn.
End-to-End Versatile Human Activity Recognition with Activity Image Transfer Learning

Transfer learning is a common solution to address cross-domain identification problems in Human Activity Recognition (HAR). Most existing approaches typically perform cross-subject transferring while ignoring transfers between different sensors or body parts, which limits the application scope of these models. Only a few approaches have been made to design a versatile HAR approach (cross-subject, cross-sensor and cross-body-part). Unfortunately, these existing approaches depend on complex handcrafted features and ignore the inequality of samples for positive transfer, which will hinder the transfer performance. In this paper, we propose a framework for versa-tile cross-domain activity recognition. Specifically, the proposed framework allows end-to-end implementation by exploiting adaptive features from activity image instead of extracting handcrafted features. And the framework uses a two-stage adaptation strategy consisting of pretraining stage and re-weighting stage to perform knowledge transfer. The pretraining stage ensures transferability of the source domain as well as separability of the target domain, and the re-weighting stage rebalances the contribution of the two domain samples. These two stages enhance the ability of knowledge transfer. We evaluate the performance of the proposed framework by conducting comprehensive experiments on three public HAR datasets (DSADS, OPPORTUNITY, and PAMAP2), and the experimental results demonstrate the effectiveness of our framework in versatile cross-domain HAR.
Cloud-based Smart Grid ArchitectureforSecured Big Data Information Management

There exists agrowing concern about energy utilization nowadays, which is prominent to aset-upthat supports Real-Time (RT) control and monitoring with a 2-way message between the services and clients. The Cloud-based Smart Grid Architecture (C-SGA) is the technological innovation that came up to meet these requirements and developproductivity, trustworthiness, finances, and sustainability of energy services. To manage communications to millions of endpoints and to process the data received from several front-end smart,intelligent components, Cloud Computing (CC) serves as a better technology for providing the necessary computational resources on demand for large scale Smart Grid (SG) applications. The factorslow-cost assistance, the flexible, redundant, and fast, responsive architecture of CC are the primary goals of energy conservation and demand response achieved in SGs for efficient, secure, and scalable electricity services.
Text to Speech Synthesis System for Punjabi language using Statistical Parametric Speech Synthesis Technique

Statistical Parametric Speech Synthesis has been most growing technique rather than the traditional approaches that we are used to synthesizing the speech. The shortcoming of traditional approaches will be overcome with latest statistical techniques. The main advantages of SPSS from traditional synthesis technique are that it has more flexibility to change the characteristics of voice and support more multiple languages i.e. multilingual, has good coverage of acoustic ` and robustness. It generates high quality of speech from small training database. Deep Neural network and Hidden Morkov model are basic statistical parametric speech synthesis techniques. Gaussian mixture model, sinusoidal model are also under this categories. Features were extracted in two type spectral features like spectral bandwidth, spectral centroid etc. and excitation features like F0 frequencies etc. We are using 722 Punjabi phonemes. Using sound forge software we extracted the 200 wave file from 1 hour pre-recording wave file related to those phonemes. Each and every phonemes feature was extracted and saved in database. We were extracting 28 features of each phoneme. TTS text-to-speech system generates sounds or speech as a output when provided the text of Punjabi language. There were already many TTS are developed on different Indian languages. The system that we are trying to build is based only on Punjabi language.
Affordance and the Musical Habitus

Abstract In the terminology of design, an “affordance” is what we perceive an object as inviting us to do. Thus a doorknob invites us to turn it, a button on a computer screen invites us to click on it, and so forth. For the students in the old conservatories, specific patterns in basses and melodies invited specific completions in four voices. Using four contestants in the harmony contest of 1877 as a sample, we can judge the perceived strength of the affordances of the given melody by noticing how similar are the contestants’ responses. If three or four of the contestants realized a short passage of the given melody in the same way, it probably means that their educations and experiences had led them to hear that passage in the same way and with a very similar meaning.
English language Errors in Academic writing: An analysis of English research papers of Thu Dau Mot University Journal of Science

This research aims to describe English language errors in the scientific papers. The research data consists of 104 scientific articles that authors sent to Journal of Thu Dau Mot University. The quantitative method was applied in the form of frequency charts for each category of surface strategy taxonomy and comparative analysis. Based on the analysis theory of grammatical errors, all of the errors in these articles were identified and classified into different categorizations. The findings of the study showed that the authors’ writings were committed three main error groups: Lexical errors are the highest with 281 (49%); the number of Syntactic errors are ranked the second with 222 (39%); Morphological errors are the lowest with 69 (12%). On the basis of these results it is figured out that the authors still have difficulties in writing a research papers in English because they are not English major. Moreover the grammar of English is known as their foreign language. Another reason that the writer made errors is uninterested in organization of their papers. From the study findings above, the researcher suggests some implications to help authors improve their academic writing and meet English international standard.
The First Regulation by Turkey of Social Media Influencers: The Guideline on Commercial Advertising and Unfair Commercial Practices by Social Media Influencers

In the meeting of the Board of Advertisement1 of 4 May 2021 No. 309, with the principle decision No. 2021/2, a legal regulation was adopted for the first time in Turkey regarding advertisements made by social media influencers. This legal regulation, published as a Guideline,2 regulates the principles regarding advertisements made by social media influencers (hereinafter ‘the Guideline’). The purpose of the Guideline is to provide guidance for all individuals, institutions and organizations that advertise, as well as advertising agencies and media organizations related to commercial advertising and commercial practices by social media influencers.3 The Guideline covers all forms of consumer commercial advertising and commercial practice by social media influencers.4 The Guideline has been prepared based on Arts. 61,5 62,6 637 and 848 of the Code on Consumer Protection dated 7 November 2013 No. 65029 (hereinafter, the CCP), and the...
Discourse phenomena

This chapter presents the limited available material on various discourse phenomena: variable clausal constituent order, topicalization, ellipsis, afterthought additions, idioms, and formulaic expressions.
Social Intelligence and Valuable Orientations of First-Year Students of the University

The authors turn to the consideration of the issue of social intelligence and value orientations of high school students. Speaking about the relevance of the study, the authors indicate that social intelligence and the value orientations provide students with psychological adaptation to new socio-economic conditions and education systems, and participate in the formation of professional self-determination. Considering social intelligence, the authors turn to the interpretation of this concept by researchers E.L. Thorndike, F. Moss and T. Hunt, G. Olport. When considering the concept of “value orientations”, the authors turn to history and give its definition, based on the study of psychological and pedagogical literature. In order to study the social intelligence and value orientations of high school students, the authors conducted an experiment, which is based on a test for the study of social intelligence by J. Guildford and M. O’Sullivan. The students' value orientations were evaluated according to three universal factors: grades (values), strengths (potency) and activity, developed by C. Osgood.
Learning Materials between Didactic Potential and Control

In this chapter, we wish to explore how the mechanisms of the market for learning materials in Denmark and political decisions at different levels interact and more or less intentionally influence the learning materials available to teachers. The Danish market for learning materials has undergone significant changes over the last few years. New forms of regulation and deregulation have pervaded the official documents controlling curriculum. Especially, a new form of classroom management based on learning objectives and performance indicators though learning objectives has been subject of debate. However, digitalisation, public funding to stimulate both production and teacher use of new digital learning materials, municipal supply contracts with publishers, and the advent of mandatory digital learning management systems have had an impact on both teacher use of and the market for learning materials. Using official documents and selected research studies as a base, we describe the current status on the political and socioeconomic level to contextualise our analysis of Danish learning materials in L1. In our analysis of learning materials, we wish to focus on how the teacher’s role is inscribed in the materials. We suggest that the patterns we find in the inscribed teacher role reflects that the dominant agenda has been efficiency improvement and cost reduction in the educational system.
SD-IOT Security and Privacy

International Journal of Computer Sciences and Engineering (A UGC Approved and indexed with DOI, ICI and Approved, DPI Digital Library) is one of the leading and growing open access, peer-reviewed, monthly, and scientific research journal for scientists, engineers, research scholars, and academicians, which gains a foothold in Asia and opens to the world, aims to publish original, theoretical and practical advances in Computer Science,Information Technology, Engineering (Software, Mechanical, Civil, Electronics & Electrical), and all interdisciplinary streams of Computing Sciences. It intends to disseminate original, scientific, theoretical or applied research in the field of Computer Sciences and allied fields. It provides a platform for publishing results and research with a strong empirical component. It aims to bridge the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research.