Reviewerly/exHarmony huggingface dataset:
TOLLBLOCKS AN ETHEREUM BASED TOLL PROCESSING SYSTEM USING BLOCKCHAIN

Contracts are obligations that involve multiple parties and stakeholders. Road - Toll collection contracts have certain guidelines and rules for collection of toll tax from vehicles against the use of constructed roads. Representation of such rules for collection of toll taxes using a smart contract, which is a paradigm based on blockchain, will solve some of the drawbacks of current toll collection and management system. The proposed methodology uses the strengths of blockchain to propose a solution to the current toll tax collection system, by ensuring complete transparency between tax payers and collectors and also attempts to curb the malicious collection of taxes from commuters. Blockchain will enable a radical way of approaching transactions as compared to the traditional society approved method where trust is placed on a central third party to carry out transactions. The purpose of this paper is to provide a alternative method of processing toll tax transactions, using ethereum based smart contracts, written in solidity language, to transform traditional desktop applications into blockchain based web application, which perform better, consume lesser resources and are much more secure as compared to the current system.
Cat Swarm Optimization - Modifications and Application

In this chapter are presented short descriptions of the global version and of the local version of the Cat Swarm Optimization (CSO) algorithm. Next are discussed some modifications of the CSO algorithm such as velocity clamping, inertia weight, mutation operators, acceleration coefficient c1 and adaptation for discrete optimization problems in particular for recommendations of diets. In addition we present a real-world application of the CSO algorithm for diets recommendation.
FLOUTING MAXIMS PERFORMED BY THE CHARACTERS IN JACKIE MOVIE: A PRAGMATICS ANALYSIS

The objectives of this research are to find the kinds of flouting maxim in Jackie movie performed by the characters and to find the motivation of the characters in flouting the maxim. This research used a qualitative content analysis approach. The data source of this research was the script of Jackie movie. The data were taken from the dialogues and utterances of the characters that are correlated with flouting maxim. Through the findings of the analysis, there were 24 dialogues containing the flouting maxim. Those data consisted of four kinds of flouting maxim, namely flouting maxim of quality, flouting maxim of quantity, flouting maxim of relation, and flouting maxim of manner. In flouting the maxim, it was found that the characters had an underlying motivation. From four types of motivation which were competitive, convivial, collaborative, and conflictive, the characters within the movie flouted the maxim with only two types of the motivation, namely competitive and collaborative.
HARDWARE IMPLEMENTATION OF SIMPLE LINEAR REGRESSION AND ITS MODELLING INPYTHON AND MATLAB

In this paper,one of the machine learning algo- rithm namely Linear Regression is implemented in Field ProgrammableGate Array(FPGA).Combination of programmabil- ity,performance and flexibility can be achieved using FPGAand that is the reason for preferring FPGA as the hardware architecture for machine learning purposes.It also provides lowlatency.In this work, the dataset was given to the hardware and trained using the method of Least Square Approximation.Thedesign was successful in synthesising and implementing with a total on-chip power of 137mW.The model has been verified,simulated and synthesised in Artix-7 FPGA Board using Verilog HDL. The simulations were also presented in MatlabandPython.
A Novel Design of Cloud-based Management Solution for Android Containers

The Android container is used for various purposes such as Bring Your Own Device (BYOD) solution and Android malware analysis. The strong point of android container than other technologies is it can simulate an android device like a real android phone on a hardware layer. Therefore, automatic management solutions for android container are necessary. This paper introduces a new design of cloud-based management solution for android containers. Through the proposal, android containers are managed automatically from a cloud platform - OpenStack with various tasks like: container configuration, deployment, destroy, android version, hardware device. In addition, the system monitoring and system statistics for android containers and hardware devices are also provided.
Research on the Evaluation Model of University Nuclear-Driven Teaching Quality under Double First-Class Background

In "double first-class" colleges and universities, improving teaching quality needs to be driven by precise advanced technology as well as integrating different core content of many disciplines as evaluation methods. Therefore, analytic hierarchy process is adopted in this paper to establish relevant system so that reasonable evaluation of open courses quality can be achieved to carry out following construction content around evaluation goals. Moreover, according to results of diagnostic evaluation, developmental evaluation and summary evaluation of open courses, problems existing in curriculum evaluation index system construction of colleges and universities can be analyzed to determine goal of evaluation index system construction of university curriculum quality and establish hierarchical structure model of evaluation index system. What's more, based on comprehensive evaluation of many-core teaching quality, judgment matrix is constructed to calculate eight vectors and perform consistency tests, which proves evaluation accuracy of teaching quality evaluation model.
Review of Fuzzy Systems through various jargons of technology

Fuzzy logic is a form of multi-valued logic in which membership values of variable are real number in the range [0,1]. Fuzzy logic is the way to use natural language in the logic and also deals with vagueness & uncertainties. This paper gives introduction to fuzzy logic and fuzzy systems covering basic concepts. The working of Fuzzy rule based system is explained and fuzzy inference process is discussed in detail with example. This paper also distinguishes types of fuzzy inference methods – Mamdani and Sugeno. Tools for construction of fuzzy system are stated. Fuzzy logic has wide range of applications; some applications such as Fuzzy Expert System, Fuzzy control System, image processing, pattern classification and recognition are illustrated in detail. This paper will give quick review to beginners to understand everything about fuzzy system.
Penerapan Algoritma Ternary Comma Code Pada Aplikasi Kompresi File Gambar

Since the discovery of a tool to capture an image (image) in the form of a camera making technological developments not only focus on the tools but also must focus on where the data is stored. The need for storage media is something that is needed in every communication tool. Data and information communication systems are not only in the form of text but can also be in the form of images, videos and audio. Image file size that is relatively larger compared to text files is one of the causes of the amount of memory used for storing image files. The size of the image file can also cause the length of time to send the image file. Image file compression process is one way that can be done to overcome the problem of image file size. Image compression is an attempt to minimize the file size or bytes of a graphic file without reducing the quality of existing images. A certain amount of storage, such as disk space or memory, makes it possible to reduce the image file size. Many algorithms that can be used to compress image file sizes include the ternary comma code algorithm that can help reduce image file sizes. The ternary comma code algorithm has a faster time space compared to other algorithms.
A língua em situação de uso e o preconceito linguístico: um estudo sob a ótica da sociolinguística variacionista

The language in use and linguistic prejudgement: a study from the perspective of variation sociolinguisticsResumoNeste artigo abordamos a Lingua em situacao de uso, Variacoes Linguisticas, vistas como diferentes formas de se nomear algo, resultado da inventividade dos falantes numa comunidade de fala. O objetivo foi estudar a Lingua a partir das teorias da Sociolinguistica Variacionista, identificando o preconceito linguistico como algo intencional. Os procedimentos metodologicos foram pesquisas bibliografica e teorica, quando realizamos uma revisao da literatura acerca do tema, alcancando publicacoes nacionais e internacionais, incluindo bases de dados. Os resultados permitem afirmar que a sociolinguistica no ensino e um importante instrumento para enfrentar o preconceito linguistico; que este existe e se materializa numa concepcao pedagogico-ideologica, disseminando-se tambem na escola, gerando uma violencia simbolica (ou gerado por esta) a partir da imposicao da Norma Padrao do Portugues Brasileiro; que a sociolinguistica apresenta-se como possibilidade real de enfrentar o determinismo linguistico, resultado das relacoes de poder.Palavras-chave: Variacoes Linguisticas; Sociolinguistica Variacionista; Preconceito Linguistico.AbstractIn this article we address the language in use, Linguistic Variations, seen as different ways of naming something, the result of the inventiveness of speakers in a speech community. The objective was to study the language from the theories of Variationist Sociolinguistics, identifying linguistic prejudice as something intentional. The methodological procedures were bibliographic and theoretical research, when we performed a literature review on the subject, reaching national and international publications, including databases. The results allow us to affirm that sociolinguistics in teaching is an important instrument to face linguistic prejudice; that it exists and materializes in a pedagogical-ideological conception, also spreading at school, generating symbolic violence (or generated by it) from the imposition of the Brazilian Portuguese Standard Norm; that sociolinguistics presents itself as a real possibility of facing linguistic determinism, the result of power relations.Keywords: Linguistic Variations; Variationist Sociolinguistics; Linguistic Prejudice.
Based on Censydiam Model and Characters in Contemporary TV Series to Create Persona.

Persona has been widely applied in software interaction design, product design and service design. It is a huge challenge to create persona accurately in design projects. The Censydiam model is often applied in creating personas for its own knack in analyzing the personalities and pursuits of users. This paper found that roles with their personalities, emotional expression and behavior patterns built in TV series have practical value in creating personas. To improve the accuracy of personas, some roles in TV series are analyzed and classified based on the Censydiam model. The result is a diagram which is a new Censydiam model with rich labels of roles. This method as an innovative application of the Censydiam model can improve accuracy and efficiency of creating personas and enhance practicality of application after the experiment and practice of the new diagram in design project of electronic products. This paper reports the basic framework of model (Censydiam Model), the principle of this method and the process of applying this method to build personas and proposes the selection principles of TV series.
Strengthening campus finance by analyzing attribute attributes for student registration classifications

&lt;p class="AbstractL-MAG"&gt;Students are the most valuable assets in a private college. Assets like this that really need to be maintained and maintained, because most of the income from the private campus is derived from the tuition fees of students. The large number of students who resigned and did not conduct registration would have an impact on the financial institutions. STMIK Widya Pratama is the only computer science campus in Pekalongan City. Data from the last 5 years obtained from the new student admissions committee at STMIK Widya Pratama Pekalongan shows that out of 2670 prospective students who enroll, there are at least 514 prospective students who do not register. This means that around 20% of students do not register. Several analyzes related to the classification for student registration were conducted. In this case the best method that can be used is C45. In the process of calculating the C45 algorithm, information gain method is used to determine the importance of data attributes. The calculation results show that the attribute with the highest level of importance is the city_district attribute from the prospective student's residence, followed by the attributes of education, parental education, and tuition. These results can later be used and developed to create a system to support campus policy.&lt;/p&gt;
Hate Speech in the Time of COVID-19

This brief provides an overview of the academic literature on hate speech in order to offer analytical tools for critically assessing the rise in hate speech incidents during the current COVID-19 pandemic. We focus, first, on how hate speech is generally defined and understood, showing that there is no consensus in this area. We then examine arguments for and against the regulation of hate speech, before moving on to analyse the key triggers and causes of hate speech. We focus especially on crises which, like the current COVID-19 pandemic, may provide fertile ground for the increase in hate speech incidents.
Textural and chemical characterization of sulphide minerals for improved beneficiation and exploration, Skellefte district, Sweden

Textural and chemical characterization of sulphide minerals for improved beneficiation and exploration, Skellefte district, Sweden
A Co-word Analysis of the Applications of Machine Learning in China

With the rapid development of technology, the influence of artificial intelligence on various industries is increasing. As one of the realization methods of artificial intelligence, machine learning has also received more and more attention and has been applied in many fields. This article was screened on CNKI, and obtained 4057 documents on machine learning applications from January 1, 2015 to December 31, 2019. Through co-word analysis of the keywords of the documents and further Based on statistical analysis, we have obtained 7 themes that are mainly used in machine learning at the moment, and explained these 7 themes.
Fooling Primality Tests on Smartcards

We analyse whether the smartcards of the JavaCard platform correctly validate primality of domain parameters. The work is inspired by Albrecht et al. [1], where the authors analysed many open-source libraries and constructed pseudoprimes fooling the primality testing functions. However, in the case of smartcards, often there is no way to invoke the primality test directly, so we trigger it by replacing (EC)DSA and (EC)DH prime domain parameters by adversarial composites. Such a replacement results in vulnerability to Pohlig-Hellman [30] style attacks, leading to private key recovery. Out of nine smartcards (produced by five major manufacturers) we tested (See https://crocs.fi.muni.cz/papers/primality_esorics20 for more information), all but one have no primality test in parameter validation. As the JavaCard platform provides no public primality testing API, the problem cannot be fixed by an extra parameter check, making it difficult to mitigate in already deployed smartcards.
Private Classes – Children 3+

Private Classes - Children 3+ Study 1-on-1 lessons with certified and experienced teachers. Our classes are designed to give kids the chance to focus on vocabulary, pronunciation, and consistently practice speaking in Italian. Any Level, Anytime & Anywhere. Now Online!
5. Exploring Knowledge Dynamics in the Humanities. Two Science Mapping Experiments

This paper reports and briefly discusses the results of two science mapping experiments we conducted in two humanities fields: analytic philosophy and human geography. In the first section, we provide a non-technical introduction to science mapping techniques, presenting the steps required to produce distance-based science maps. The two following sections present the datasets of our experiments and the maps we produced. Lastly, we discuss the main limitations of science mapping when it is applied to areas in the humanities.
KNOWLEDGE MANAGEMENT SERVICE CENTER SYSTEM USING CHATBOT

The use of knowledge management has become a common thing for business companies and continues to be developed in recent years. Knowledge management is suitable to be developed into various business lines of the company. The service center is the first place for organizational members to find explanations for their problems. The implementation of the chatbot into the knowledge management application that is built is intended to make it easier for members to find explanations for their problems. The application is built using the SECI model method in building chatbot-based knowledge management. In implementing this knowledge management application, it helps members to find explanations of their problems and significantly improve the performance of service center applications
RT-trust: automated refactoring for trusted execution under real-time constraints

Real-time systems must meet strict timeliness requirements. These systems also often need to protect their critical program information (CPI) from adversarial interference and intellectual property theft. Trusted execution environments (TEE) execute CPI tasks on a special-purpose processor, thus providing hardware protection. However, adapting a system written to execute in environments without TEE requires partitioning the code into the regular and trusted parts. This process involves complex manual program transformations that are not only laborious and intellectually tiresome, but also hard to validate and verify for the adherence to real-time constraints. To address these problems, this paper presents novel program analyses and transformation techniques, accessible to the developer via a declarative meta-programming model. The developer declaratively specifies the CPI portion of the system. A custom static analysis checks CPI specifications for validity, while probe-based profiling helps identify whether the transformed system would continue to meet the original real-time constraints, with a feedback loop suggesting how to modify the code, so its CPI can be isolated. Finally, an automated refactoring isolates the CPI portion for TEE-based execution, communicated with through generated calls to the TEE API. We have evaluated our approach by successfully enabling the trusted execution of the CPI portions of several microbenchmarks and a drone autopilot. Our approach shows the promise of declarative meta-programming in reducing the programmer effort required to adapt systems for trusted execution under real-time constraints.
A gentle introduction to theory (for non-theoreticians)

tutorial Share on A gentle introduction to theory (for non-theoreticians) Author: Benjamin Doerr Laboratoire d'Informatique (LIX) Laboratoire d'Informatique (LIX)View Profile Authors Info & Claims GECCO '20: Proceedings of the 2020 Genetic and Evolutionary Computation Conference CompanionJuly 2020 Pages 373–403https://doi.org/10.1145/3377929.3389889Published:08 July 2020Publication History 0citation144DownloadsMetricsTotal Citations0Total Downloads144Last 12 Months23Last 6 weeks1 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access
When additive particles can associate with wh-phrases

The distribution of certain additive particles is restricted. It has been suggested that in wh-questions they can only associate with the wh-phrase if the question receives a showmaster interpretation (Umbach, 2012). I present novel data challenging this generalization and account for these data by lifting Beaver and Clark (2008)’s QUD-based account of additive particles to an inquisitive semantics setting, so that it captures the contribution of additive particles in assertions, polar questions and wh-questions.
A Survey on Guiding Customer Purchasing Patterns in Modern Consumerism Scenario in India

This proposed work is used to simplify and ease the shopping experience for a customer through the user-friendly android application. Generally, in the shopping malls user does happy shopping but feels tired and sick for standing in the long queues for the billing. Each product can be billed by reading the barcode on each product; thus, a single person scanning thousands of products of hundreds and more customers is a tedious task. Thus, we have come up with the mobile application which helps the customer do easy shopping without long queues for billing.
Blockchain: Technical Feasibility for Assessing Organizational Fit.

It is a multifaceted technology receiving widespread attention with many companies searching for opportunities while others still scramble to understand what it is and how it can support their business model. The current research evaluates the technical feasibility of blockchain applications in relation to the organization fit within a company. A model composed of environmental and organizational factors as they influence organizational fit dimensions is proposed to create a guide for companies to assess whether blockchain is a suitable solution for their company.
Divergent search for image classification behaviors

When data is unlabelled and the target task is not known a priori, divergent search offers a strategy for learning a wide range of skills. Having such a repertoire allows a system to adapt to new, unforeseen tasks. Unlabelled image data is plentiful, but it is not always known which features will be required for downstream tasks. We propose a method for divergent search in the few-shot image classification setting and evaluate with Omniglot and Mini-ImageNet. This high-dimensional behavior space includes all possible ways of partitioning the data. To manage divergent search in this space, we rely on a meta-learning framework to integrate useful features from diverse tasks into a single model. The final layer of this model is used as an index into the `archive' of all past behaviors. We search for regions in the behavior space that the current archive cannot reach. As expected, divergent search is outperformed by models with a strong bias toward the evaluation tasks. But it is able to match and sometimes exceed the performance of models that have a weak bias toward the target task or none at all. This demonstrates that divergent search is a viable approach, even in high-dimensional behavior spaces.
미용관련 유학생의 자아탄력성이 주관적 안녕감과 감사성향에 미치는 영향

The purpose of this study is to examine the effect of subjective sense of well-being and appreciation propensity on self-resilience of a foreign student in department of beauty and to contribute to establish systematic and desirable direction of education. As for the subject of this study, a total of 300 questionnaires were distributed, and 265 of them were retrieved and statistical data was obtained with 253 valid questionnaires. SPSS 22.0 was used to analyze the collected data. Analytical analysis was carried out on the data in the form of frequency analysis, factor analysis, reliability analysis, and regression analysis. As a result, first, There is no problem in the reliability analysis of self-resilience and subjective sense of well-being and appreciation propensity. Second, self-resilience affects subjective sense of well-being and appreciation propensity. Through this study, It will provide basic data to contribute to the rational management of beauty workers and the status of our country's beauty is expected to be higher.