Reviewerly/exHarmony huggingface dataset:
Cyber Security: Overviews, Issues and Future Challenges in E-Commerce: ICAISC-2020 (International conference on Recent Trends in Artificial Intelligence, IOT, Smart Cities & Applications: 2020)

The ‘e’ in e-commerce refers to electronic. Electronic commerce concerns the buying or selling of goods or services via the Internet. When shopping on the Internet, either receiving online services or ordering products, trade related provisions become relevant. These differ from the regular provisions on commerce and are therefore labelled as e-commerce law. Electronic commerce includes electronic trading of goods, services and electronic material. A private computer network system is exposed to potential threats from anywhere on the public network .Protection against these threats requires business to have stringent security measures in place. In physical world, crimes often leave evidence finger prints, footprints, witnesses, video on security comes and so on.Due to the reduced cost of access to the internet and many developments in the World Wide Web & other relevant technology, e-commerce is fast replacing the traditional business systems .It provides an easily accessible single point electronic assistance for all aspects of business including advertisements, sales transactions, streamlining business processes & capturing the market through business intelligence. But e-Commerce hold many challenges. The easy and open accessibility to information miserably conflicts with the requirements of security, privacy & confidentiality of information.Recent survey of 538 security practitioners in U.S. corporations and government agencies reported: § 85% detected breaches of computer security within the last 12 months § 64% acknowledged financial loss as a result § 35% quantified their financial loss to total $337 million in aggregate.
Comparative Study On Cloud Computing Simulation Platforms

Experimentation in a real environment is quite problem due to the high financial cost and the time required to accomplish it. Above all that, the tests are not repeatable, because many variables cannot be controlled with in the test, which may affect the results. Therefore, using simulation frameworks to evaluate cloud applications is preferred. It is extremely difficult to use real infrastructures for benchmarking the application performance (throughput, cost benefits) under inconstant conditions. Therefore, we cannot execute benchmarking experiments using real-world Cloud environments. To overcome this challenge, the use of simulation tool is the best applicable choice to the developers with substantial resources and parallelized execution. These simulation tools offer the researchers the chance to evaluate the hypothesis in a measured environment and simply emulate the output results. This paper have reviewed and classified the most updates and extends simulation platforms in cloud computing and gave examples on each.
Improving Lexically Constrained Neural Machine Translation with Source-Conditioned Masked Span Prediction

Accurate terminology translation is crucial for ensuring the practicality and reliability of neural machine translation (NMT) systems. To address this, lexically constrained NMT explores various methods to ensure pre-specified words and phrases appear in the translation output. However, in many cases, those methods are studied on general domain corpora, where the terms are mostly uni- and bi-grams (>98%). In this paper, we instead tackle a more challenging setup consisting of domain-specific corpora with much longer n-gram and highly specialized terms. Inspired by the recent success of masked span prediction models, we propose a simple and effective training strategy that achieves consistent improvements on both terminology and sentence-level translation for three domain-specific corpora in two language pairs.
Comparison of Stored Procedures on Relational Database Management System

Store procedure is a group of query stored in database catalogue which allows it to be recalled. Insert, update and delete data could performed using store procedure. Stored procedure is an alternative to optimize query performance and also to reduce security gap at interface level of a system. This research provides an overview implementation of stored procedure insert, update and deleting in two DBMS, MariaDB and PostgreSQL. Software developers prefer MariaDB and PostgreSQL because it is open-source, which means free. This research is an experimental research and descriptive analysis. This research data uses student data with amount of data 25000, 15000 and 5000 data. Research result show PostgreSQL require less processing time than MariaDB. Results of this research can used as a reference to design application programs which sometimes choose a DBMS is not a concern of developer.
사회복지과 학생들이 지각하는 사회복지사의 이미지에 대한 연구

Purpose : This study aims to investigate social welfare and students’ image of social workers and determine the relevance of these factors to the academic system, gender, and their motivations when selecting a major.Methods : For this study, social welfare students from two two-year colleges and two four-year universities were randomly selected, and 320 students from social welfare departments who understood and agreed to participate in the research took the survey. The data analysis of this study was conducted using SPSS 23.0.Results : The Social Welfare Department students' perception of a social worker’s image was shown to be positive. In the social worker image based on academic background, the first grade was found to be more positive than the second, third, and fourth grades. The professional image was more positive than the traditional, social, and vocational images. The gender-based social worker image showed that females were more positive than males. Females were more positive for the professional image, and males were more positive for the traditional image. Regarding the image of social workers based on students’ motivation when choosing their major, it was found that volunteer jobs were more positive in terms of traditional images, social images through recommendations, and professional images with aptitude and interest.Conclusion : In sum, most of the students in the social welfare departments had a positive perception of the social worker position. They had a more positive image at the time of admission. Finally, students who entered the school with an expert awareness of social welfare were more positive.
Review And Analysis Of Optimization Algorithms For Digital Filter Design

In general Digital Signal Processing (DSP) and more especially filtering is an important and basic requirement for signal systems, computers, and communication networks. The design of Optimal Digital Filters is a intimidating task and it has challenged the scientist, engineers, and researchers for designing the filters with improvised, proficient, and intelligent techniques using the Emerging Evolutionary Computations. Metaheuristics have emerged as the best promising tool and an striking area of research with numerous improvements and advancements in the solution to optimization issues. However, it has not shown clarity to decide the best performing metaheuristic for designing an optimal digital filter.  In this paper, a comprehensive review and analysis of various metaheuristics used by researchers for designing an optimal digital filter are carried out.  More specifically, “Finite Impulse Response (FIR)” and “Infinite Impulse Response (IIR)” filter design using optimization-based techniques such as nature-inspired “Swarm Intelligence (SI) Swarm Intelligence (SI), Cuckoo Search (CS), Grasshopper Optimization Algorithms,, Particle Swarm Optimization, (PSO), Ant Colony Optimization (ACO Bat Algorithms (BA), Genetic Algorithms (GA), Artificial Bee Colony (ABC),  Bacterial foraging optimization (BFO, Biogeography-based optimization (BBO), Harmony search (HS), Krill herd (KH), Social spider optimization (SSO), Symbiotic organisms search (SOS), Firefly algorithm (FA), Gravitational search algorithm (GSA), Grey wolf algorithm (GWO), Teaching-learning-based optimization (TLBO), Whale optimization algorithm (WOA)” are also described. Also, a survey on the origin of twenty-one optimization algorithms is carried out that is being proposed as optimization algorithms in literature for the proposal of digital filters.
Research on University Education Reform in the Era of Artificial Intelligence

At present, artificial intelligence is developing faster than expected by human beings, and has been highly valued by the leaders of all countries in the world. With the breakthrough development of artificial intelligence technology in recent years, the era of artificial intelligence has come, and artificial intelligence has penetrated into all aspects of social life. At the same time, the development of university education is also deeply influenced by the development of artificial intelligence technology. On the basis of expounding the development status of artificial intelligence, this paper lists the existing application of artificial intelligence technology in university education in the world, analyzes the challenges brought by artificial intelligence technology to university education, and points out the development trend of university education and corresponding education reform suggestions from the perspective of artificial intelligence, so as to promote the innovation and development of university education.
Research on the Innovation Mechanism of Mass Media Language under the Impact of Foreign Language and Culture

Globalization not only means that the interaction of culture, economy and politics is constantly strengthened in the world, but also that the consciousness of the world as a whole is deepened. Under the background of globalization, mass media has cultural attributes. It is a gatekeeper of mass culture. Mass media is an important part of modern industry, so it also has economic attributes. The development of the mass media reflects and affects politics. In the communication and blending of Chinese and Western cultures, Chinese media language constantly absorbs the advanced cultural elements of a strong language (the so-called prestige norm). This paper takes mass media as the research object and analyzes the innovation and mechanism of mass media language based on the analysis of the innovation of foreign languages, so as to enhance the internationalization of the language innovation and development of the Han nationality in the international cultural communication.
The Role Of-music in Child Development

This article reveals the important role of music education in the development of the moral and aesthetic sphere of the childs personality. By fostering moral feelings, we lay the foundation for the formation of his moral consciousness, the regulation of moral behaviour in the future.
POSSIBILITIES OF USING MULTIMEDIAL ENERGY SOFTWARE IN THE FORMATION OF ENVIRONMENTAL CULTURE AND EDUCATION IN STUDENTS

The article explores the role and didactic possibilities of teaching alternative energy, alternative energy sources and devices, their use in the national economy, the concept of alternative energy in the educational process using multimedia, multimedia products, multimedia technologies and multimedia tools. The analysis of the didactic possibilities of using multimedia software teaching aids, electronic textbooks, virtual laboratory stands, 3D animations and training simulators in the content of the pedagogical basis for the formation of competencies in environmental culture and education of students.
Few-Shot Learning for Image Classification of Common Flora

The use of meta-learning and transfer learning in the task of few-shot image classification is a well researched area with many papers showcasing the advantages of transfer learning over meta-learning in cases where data is plentiful and there is no major limitations to computational resources. In this paper we will showcase our experimental results from testing various state-of-the-art transfer learning weights and architectures versus similar state-of-the-art works in the meta-learning field for image classification utilizing Model-Agnostic Meta Learning (MAML). Our results show that both practices provide adequate performance when the dataset is sufficiently large, but that they both also struggle when data sparsity is introduced to maintain sufficient performance. This problem is moderately reduced with the use of image augmentation and the fine-tuning of hyperparameters. In this paper we will discuss: (1) our process of developing a robust multi-class convolutional neural network (CNN) for the task of few-shot image classification, (2) demonstrate that transfer learning is the superior method of helping create an image classification model when the dataset is large and (3) that MAML outperforms transfer learning in the case where data is very limited. The code is available here: github.com/JBall1/Few-Shot-Limited-Data
Generating Significant Examples for Conceptual Schema Validation

This report bases itself on the idea of using concrete examples to verify conceptual schemas, and in particular cardinality constraints. When novice ORM modellers model domains, the selection of proper cardinality constraints for relationship types is quite often prone to errors. In this report we propose a mechanism for the generation of significant examples for selected subschemas. The generated examples are significant in the sense that they illustrate the possible combinations of instances that are allowed with respect to the cardinality constraints on the involved relationship types. In this report we firstly provide a brief informal discussion of the basic idea. Then we present a syntactic mechanism to select the subschema for which example instances are to be generated. This is followed by the actual example generation algorithm itself. We will also present, as a {\em spin-off}, an algorithm that allows us to detect possible flaws in the conceptual schema by calculating the number of instances that can be used to populate the types in the schema.
Best Quiet Computer Case

The noise from a running computer can sometimes be annoying, much to the interference of a smooth gaming or working session and the disturbance of the ...
Model based using Artificial Intelligence to Overcome the Human Resource Problem in the Healthcare Industry

Artificial intelligence can be used to efficiently automate diagnostics, analytics, logging, administering, and decision making in the healthcare industry which is facing a human resource crunch in the present times. Artificial intelligence though offers very attractive solution for automation and cyber physical systems; but comes with technical, legal and most importantly ethical concerns. In this work, we discuss the challenges associated with incorporation of artificial intelligence in human resources management. We suggest a layered framework to adopt AI based tools and techniques for improving healthcare services. We also discuss the roadmap to evolve into a smart healthcare industry with clear separation of tasks between cyber physical systems and the human resource. We conclude this work by discussing the possible future directions in the area.
Optimizing the function of the library as a public service facility

This study aims to investigate optimizing the function of the library as a public service facility at East Java via a descriptive explanative method using qualitative and quantitative approaches. As a result, budget constraints, quantity, and quality of human resources serve as obstacles in maximizing the function of the library as a public service provider in order to improve culture and reading interest in the community. In conclusion, public regional library as one of the public service facilities is expected to be able to provide and fulfill the general information needs of the society in order to increase their knowledge.
BET testing method for Neyshabour low-grade turquoise, NE of Iran

BET method is based on the absorption of some specific molecular species in a gaseous state based on their surface. This method is used to measure physical absorption which can be used for analyzing the structure of porous materials. BET data show the geometrical shape of porosity, absorption and porosity type, volume, and size of specific surface area. The instrumental methods show that the exact contents of fluids (gas or liquid) can be absorbed by the porous material surface, at different pressures, in different materials such as gemstones. BET method is used to measure physical absorption and analyzing the structure of low-grade Neyshabour turquoise as a base for their chemical treatment. The low-grade turquoises were deposited as gangue for centuries in the area. The treatment of low-grade turquoise provides a good economic opportunity to upgrade the gemological industry in the area. This research would provide a useful framework for further steps such as finding the best turquoise for treatment as well as identifying treated samples from other turquoise sources. The result of the analysis in this research shows that the geometrical shape of porosity is two sided and from an open cylindrical type. The porosity is mainly micro-pore type (p 0≤ 0.5) and the  absorption grade as high type. As a result, liquids could penetrate the low-grade turquoise rock pieces and make it possible to consider the low-grade types for further chemical treatment studies.
Mehr Unruhe als beim Preis von Bitcoins

No AccessHappy to work hereMay 2021Mehr Unruhe als beim Preis von BitcoinsTom DeMarco, Peter Hruschka, Tim Lister, Steve McMenamin, James Robertson, Suzanne RobertsonTom DeMarcoSearch for more papers by this author, Peter HruschkaSearch for more papers by this author, Tim ListerSearch for more papers by this author, Steve McMenaminSearch for more papers by this author, James RobertsonSearch for more papers by this author, Suzanne RobertsonSearch for more papers by this authorhttps://doi.org/10.3139/9783446468733.031SectionsAboutPDF ToolsAdd to FavoritesDownload CitationTrack CitationsCopy LTI LinkPDF key 'share (en)' returned an object instead of string.FacebookTwitterEmailLinkedIn previous chapternext chapter FiguresReferencesRelatedDetails 2021Pages: 113-114Print ISBN: 978-3-446-46872-6eISBN: 978-3-446-46873-3 Copyright & Permissions© 2021 Carl Hanser Verlag GmbH & Co. KGPDF downloadLoading ...
한국 고등학교 영어학습자의 형태초점교수법 시기와 개인차

The study aims to investigate how two types of form-focused instruction (integrated and isolated FFI) are related to beliefs about grammar learning and attention of Korean high school EFL students in terms of total, proficiency, school types (regular vs. science), and gender through the use of the questionnaire. The findings showed that there was a strong positive preference for integrated FFI. According to the correlation statistics, both advanced and science high school students showed that the integrated FFI were significantly correlated with attention in English class and preference of grammar learning. On the other hand, for the less advanced students the isolated FFI was strongly associated with the independent learning of grammar and the importance of grammar rule learning. In conclusion, the integrated FFI was related to L2 learners’ proficiency and attention while the isolated FFI was associated with separate and independent learning of grammar. It is suggested that the integrated FFI could help improve L2 learning while requiring some degree of attention.
Sovereignty by personalization of information search: collective wisdom influences my knowledge (SP)

With the experiment that we outline in this paper, we have had the ambition to pave the way for addressing the problem of supporting, enhancing and measuring collective AND informal learning, in particular serendipity. We want to support a new type of free navigation on Web resources (Documents, Topics, Events and Agents – human and artificial -) that is driven by the learner’s current needs and the preferences of the community of trust chosen by the learner, not by external actors. The experiment exploits the ViewpointS Web Application (VWA) prototype, that restructures a private version of a subset of the Web according to personalized choices in order to determine distances/proximities among resources. The process allows to enable, empower and measure the influence of members of the community of trust of the learner, on the learner’s choices when navigating in search of THE resources corresponding to THE immediate need, goal, strategy, wish. In the following, we will outline: 1. the rationale of our efforts and 2. the user’s reactions during the phase of -formal and informal- learning the functions and use of the prototypical software environment VWA, i.e.: a proof of concept for VWA.
Weighted Model Counting in the two variable fragment with Cardinality Constraints: A Closed Form Formula

Weighted First-Order Model Counting (WFOMC) computes the weighted sum of the models of a first-order theory on a given finite domain. WFOMC has emerged as a fundamental tool for probabilistic inference. Algorithms for WFOMC that run in polynomial time w.r.t. the domain size are called lifted inference algorithms. Such algorithms have been developed for multiple extensions of FO2(the fragment of first-order logic with two variables) for the special case of symmetric weight functions. We introduce the concept of lifted interpretations as a tool for formulating polynomials for WFOMC. Using lifted interpretations, we reconstruct the closed-form formula for polynomial-time FOMC in the universal fragment of FO2, earlier proposed by Beame et al. We then expand this closed-form to incorporate existential quantifiers and cardinality constraints without losing domain-liftability. Finally, we show that the obtained closed-form motivates a natural definition of a family of weight functions strictly larger than symmetric weight functions.
Sierpiński products of r-uniform hypergraphs

If H1 and H2 are r-uniform hypergraphs and f is a function from the set of all (r − 1)-element subsets of V(H1) into V(H2), then the Sierpiński product H1⊗fH2 is defined to have vertex set V(H1) × V(H2) and hyperedges falling into two classes: (g, h1)(g, h2)⋯(g, hr), such that g ∈ V(H1) and h1h2⋯hr ∈ E(H2),and (g1, f({g2, g3, …, gr}))(g2, f({g1, g3, …, gr}))⋯(gr, f({g1, g2, …, gr − 1})),such that g1g2⋯gr ∈ E(H1). We develop the basic structure possessed by this product and offer proofs of numerous extremal properties involving connectivity, clique numbers, and strong chromatic numbers.
Coimbatore City Survey on the Best Online Shooting Game

The history of online gaming dates back to the some of the first mainframe computers. As computers were built, games were designed to test them. As networks were created, games were also designed to test them. From NASA to MIT, games were developed and tested as computers and the internet evolved. Now a days the trend in online games have been the shooting games. The development in Smartphones have become one of the biggest reasons why these game are becoming a trend. This paper will focus on three of the best games in the market currently (PUBG(Players Under Battle Ground), Freefire, Fortnite). This paper will have a comparison of which game is the most liked and most played game with statistical analysis in a particular city, Coimbatore.