Reviewerly/exHarmony huggingface dataset:
Propriedade Intelectual e registro de programa de computador – Inovação e tecnologia na indústria moderna

ERCEMAPI 2021 Short Course Book collaborates with the goal of the Ceará, Maranhão and Piauí Regional Computing School in disseminating technical and scientific knowledge on cutting-edge topics and subjects in the field of Computing. Now in its 9th edition, the short courses address content related to artificial intelligence, intellectual property and computer architecture, to update the knowledge of the academic and professional community in a didactic way with broad access to the public. Three chapters of this book have methodologies and tools for the Information and Communication Technology area, an excellent opportunity to familiarize those interested with new research topics that may be useful in their professional lives.
Automated Test Input Generation for Detecting SQL Injection Vulnerability using Set Theory Concept

The use of web application has grown rapidly due to the change in lifestyle in doing business, daily activities and social life. E-commerce, E-banking, E-book, social applications and much more are among the examples of web applications. However, at the same time, the number of vulnerabilities existing in the web application has increased as well. SQL injection is among the most dangerous vulnerabilities in web applications that allow attackers to bypass the authentication and access the application database. Security testing is one of the techniques required to detect the existence of SQL injection vulnerability in a web application. However, inadequate test input during testing can affect the effectiveness of security testing. Therefore, the generation of test input is formulated by applying the Cartesian product in set theory concept to detect SQL injection vulnerability. The ideas obtained from our method will generate a set of test inputs automatically and able to exploit SQL injection vulnerability
Chapter 7: Estimation of sensor orientation in downhole microseismic

PreviousNext No AccessAnisotropy and Microseismics: Theory and PracticeChapter 7: Estimation of sensor orientation in downhole microseismichttps://doi.org/10.1190/1.9781560803751.ch7 SectionsAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail AbstractChapter 7 revisits the long-standing problem of orienting 3C sensors in downhole microseismic geometries. Section 7.1 discusses the conventional approach, relying on data provided by P-waves under the assumptions of rotational medium symmetry around the vertical and linearity of P-wave polarization. Section 7.2 takes an unorthodox view, turning the enemy of conventional methodology – azimuthal anisotropy – into a friend. It uses the presence of azimuthal anisotropy to orient sensors, employing seismic interferometry and the generalized Alford rotation of S-waves, and yields not only relative sensor directions in a vertical well but also an estimate of the shear-wave splitting coefficient along the wellbore.Permalink: https://doi.org/10.1190/1.9781560803751.ch7FiguresReferencesRelatedDetails Anisotropy and Microseismics: Theory and PracticeISBN (print):978-1-56080-374-4ISBN (online):978-1-56080-375-1Copyright: 2020 Pages: 492 publication data© 2020 Society of Exploration Geophysicists. All rights reserved. This book or parts hereof may not be reproduced in any form without written permission from the publisher.Publisher:Society of Exploration Geophysicists HistoryPublished in print: 20 Aug 2020 CITATION INFORMATION (2020), "Chapter 7: Estimation of sensor orientation in downhole microseismic," Geophysical References Series : 183-200. https://doi.org/10.1190/1.9781560803751.ch7 Plain-Language Summary PDF DownloadLoading ...
PSYCHOLOGICAL AND PEDAGOGICAL ASPECTS OF THE EDUCATIONAL PROCESS IN RUSSIA

The current stage of the development of professional education is characterized by the desire to penetrate into the very foundations of the process of humanitarization, systematically and organically integrate the humanities into the curricula and curricula, as well as to identify the possibilities of various disciplines for the humanization of education.By humanitarization, we mean not just the saturation of the curriculum with courses of a humanitarian nature, but the formation of students need to assimilate world culture in order to merge into a single whole the cognitive-activity, moral-ethical and aesthetic components of personal development by means of general theoretical and special disciplines.The importance of scientific research in this area is determined by the need to develop and justify a strategy for the development of domestic education in the context of modernization and reform of various parts of the education system.
2019_editorial_v2

Computer Graphics ForumVolume 38, Issue 1 p. 5-6 Editorial 2019_editorial_v2 Min Chen, Min ChenSearch for more papers by this authorBedrich Benes, Bedrich BenesSearch for more papers by this author Min Chen, Min ChenSearch for more papers by this authorBedrich Benes, Bedrich BenesSearch for more papers by this author First published: 15 March 2019 https://doi.org/10.1111/cgf.13605Read 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 onFacebookTwitterLinkedInRedditWechat No abstract is available for this article. Volume38, Issue1February 2019Pages 5-6 RelatedInformation
Responsiveness of education systems to student needs

Soupha Rawady, Thy Try, Damian West and Ngu Wah Win
Faculty Development

Higher Education AbstractsVolume 55, Issue 3 p. 254-255 FACULTY DEVELOPMENT Faculty Development First published: 30 July 2020 https://doi.org/10.1111/hea.16_12154Read 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 onFacebookTwitterLinkedInRedditWechat No abstract is available for this article. Volume55, Issue3July 2020Pages 254-255 RelatedInformation
Research of Global Features of 3D Color Histogram with Similarity and Dissimilarity Metrics for Image Processing

A review of the global feature color comprising of seven different metrics are discussed here. The color is the most powerful feature for describing the images. This study contains four sections. The first section explains the related techniques used in various papers. The second section explains the two different kinds of metrics. (1) Similarity metrics such as Cosine and Correlation and (2) Dissimilarity metrics such as Euclidean, Manhattan, Bhattacharyya, Chi-Squared and Intersection. The third section explains experiment results using CALTECHUCSD Birds-200 image library. The fourth section gives the conclusion and future work. In this experiment, the query image can be divided into trained (indexed) or untrained (non-indexed). In the similarity metric analysis, the experimental results show that the cosine similarity gives better similarity score than correlation. Similarly, in the dissimilarity metric analysis, the Bhattacharyya gives a better result than other distance metrics.
2016 Benjamin Franklin Medal in Chemistry presented to Nadrian Charles Seeman, Ph.D.

In the paper, we are concerned with a class of discontinuous BAM neural networks with hybrid time-varying delays and D operator. Based on the concept of Filippov solution, by means of the differential inclusions theory and the non-smooth analysis theory with Lyapunov-like approach, some new and novel sufficient conditions are derived to guarantee the existence, uniqueness and global exponential stability of almost-periodic solution of our proposed neural network model. To the authors’ knowledge, the results established in the paper are the only available results on the BAM neural networks, connecting the three main characteristics, i.e., discontinuous activation functions, hybrid time-varying delays and D operator. Some previous works in the literature are significantly extend and complement. Finally, two topical simulation examples are given to show the effectiveness of the established main results.
Unsupervised Technique for Automatically Extracting Components of References

The automatic extraction of bibliographic data remains a difficult task to the present day, when it's realized that the scientific publications are not in a standard format and every publications has its own template. There are many “regular expression” techniques and “supervised machine learning” techniques for extracting the entire details of the references mentioned within the bibliographic section. But there's no much difference within the percentage of their success. Our idea is to seek out whether unsupervised machine learning techniques can help us in increasing the share of success. This paper presents a technique for segregating and automatically extracting the individual components of references like Authors, Title of the references, publications details, etc., using “Unsupervised technique”, “Named-Entity recognition”(NER) technique and link these references to their corresponding full text article with the assistance of google.
Retraction Note to: A hybrid SVM-FFA method for prediction of monthly mean global solar radiation

The Editor-in-Chief has retracted this article [1] because validity of the content of this article cannot be verified. This article showed evidence of peer review and authorship manipulation.
Artificial Intelligence for Digital Breast Tomosynthesis: a tool to enhance radiologist’s performance and efficiency

Thank you very much for joining EUSOBI 2021 ONLINE and celebrating the Breast Cancer Awareness Month with us! This year we had a terrific programme and we are indebted to Dr. Ritse Mann and his Programme Committee for all their hard work in putting this together. We had a wonderful selection of international speakers who gave the latest updates in all your favourite topics and ensured that you are kept up to date with the latest developments in breast imaging. A special focus was given to the interactivity of this year’s programme, by adding expert discussions and concluding with the first virtual edition of our famous Breast Interpretation Quiz. Thanks to all of you who submitted abstracts and therefore having been an important part of this scientific event. We are also very grateful for the support of our industry partners who are listed here: https://www.eusobi.org/congress-sponsors-2/ Most of them have contributed to the extension of our scientific programme by offering interesting sessions and workshops. Have a look by scrolling through all sessions. All sessions have been recorded and are available on-demand.
Miller Receives 2018 Waldo E. Smith Award

M. Meghan Miller received the Waldo E. Smith Award at the 2018 AGU Fall Meeting Honors Ceremony, held 12 December 2018 in Washington, D. C. The award honors an individual “for extraordinary service to geophysics.”
Introducing bots

The next big integration that Microsoft Teams provides is Bots. Bots are a broad name, especially in Teams. The basic definition of a bot is that it’s a computer program that can autonomously execute tasks. Chatbots more specifically are programmed in such a way that they can understand our language and then can act, more or less, in a human way on it. They can execute a command, but they are also used, for instance, to moderate chatrooms, where they are trained to understand profanity.
3D Positional Movement Interaction with User-Defined, Virtual Interface for Music Software

This paper describes progress made in design and development of a new digital musical instrument (MIDI controller), MoveMIDI, and highlights its unique 3D positional movement interaction design differing from recent orientational and gestural approaches. A user constructs and interacts with MoveMIDI's virtual, 3D interface using handheld position-tracked controllers to control music software, as well as non-musical technology such as stage lighting. MoveMIDI's virtual interface contributes to solving problems difficult to solve with hardware MIDI controller interfaces such as customized positioning and instantiation of interface elements, and accurate, simultaneous control of independent parameters. MoveMIDI's positional interaction mirrors interaction with some physical acoustic instruments and provides visualization for an audience. Beta testers of MoveMIDI have created emergent use cases for the instrument.
A Novel Method for Real Time Recognition of Facial Expressions using Machine Learning Techniques

In the real-life situation, facial expressions and feelings are nothing more than responses to human external and internal events. In human computer association, acknowledgment of end client's demeanors and feelings from the video gushing assumes significant job. In such frameworks it is required to follow the dynamic changes in human face developments rapidly so as to convey the necessary reaction framework. The one constant application is physical exhaustion location dependent on facial discovery and articulations, for example, driver weariness recognition so as to forestall the mishaps on street. Face appearance based physical weariness investigation or location is out of extent of this paper, however this paper uncovers concentrate on various techniques those are introduced as of late for outward appearance as well as feelings acknowledgment utilizing video. This paper introducing the procedures as far as highlight extraction and arrangement utilized in outward appearance as well as feeling acknowledgment techniques with their near investigation. The relative examination is done dependent on precision, usage apparatus, preferences and hindrances. The result of this paper is the ebb and flow explore hole and research difficulties those are as yet open to illuminate for video based facial discovery and acknowledgment frameworks. The review on ongoing strategies is properly introduced all through this paper by considering future research works.
Classification Algorithm in Data Mining Based on Maximum Exponential Class Counts Technique

A new split attribute measure for decision tree node split during decision tree creation is proposed. The new split measure consists of the sum of class counts of distinct values of categorical attributes in the dataset. Larger counts induce larger partitions and smaller trees there by favors to the determination of the best spit attribute. The new split attribute measure is termed as maximum exponential class counts (MECC). Experiment results obtained over several UCI machine learning categorical datasets predominantly indicate that the decision tree models created based on the proposed MECC node split attribute technique provides better classification accuracy results and smaller trees in size than the decision trees created using popular gain ratio, normalized gain ratio and gini-index measures. The experimental results are mainly focused on performing and analyzing the results from the node splitting measures alone.
Exploring the Connection between Design Smells and Security Vulnerabilities

Software quality aims at having quality as part of all aspects of the developed software. Design smells are considered enemies of the software source code quality. There are verities of design problems with different terminologies. Researchers and practitioners accept it as true that whenever there is a design smell, there is a security issue or concern. In this work, we want to explore the connection between design smells and security vulnerabilities. This work provides experimental evidence about this connection. We conducted an empirical study to explore the connection between design smells and security issues by evaluating four C# open-source systems. We found interesting results that show classes with design smells have more chances of having security issues.
Analisis dan Pengembangan Sistem Penerimaan Siswa Baru Tingkat SMA Berbasis Web dengan Metode Kualitatif

Currently many schools, especially at the high school level, have not maximized the advancement of information technology specifically in the admission of new students to still use conventional or manual. Therefore the need for information technology is very important for schools in getting things done quickly and easily and obtaining information effectively. This research was conducted to analyze and develop an online web-based application that is able to manage the implementation of New Student Admissions specifically at Free Methodist 2 Medan High School, namely registration, selection, and announcement. The data collection techniques in this study are Observation and Interview. The method used is qualitative method. Testing is done by means of black-box testing and the analytical technique used in this study is descriptive analysis. The Web uses PHP and SQL programming languages. In this system the author develops a new system and adds registration pathways namely zoning, achievement, teacher or transfer child pathways, and affirmations. The system is expected to have an impact on school accreditation and the increase of qualified new students. Based on this, the results of the proposed system design of the author can overcome the shortcomings of the system running in Private Free Methodist High School 2 Medan. Testing of the author's proposed system can run smoothly and in line with expectations. The implementation of the system i.e. the proposed PSB of the author can be accepted and understood by the parties involved in writing.
The Relationship between Transformational Leadership and Organizational Performance: The Case of Government Sector in UAE

This study employs structural equations modeling via PLS to analyze the 392 valid questionnaires in order to assess the proposed model that is based on the transformational leadership characteristics to identify its effect on the performance of organizations in the government sector in the United Arab Emirates. The main independent constructs in the model are idealized influence, inspirational motivation, intellectual stimulation, and individualized consideration. The dependent construct is organizational performance as a second-order construct to learning &amp; growth, and internal process. The study will describe relations among the various constructs. Our work has improved our insight in the importance of transformational leadership. Results indicated that all four independent variables significantly predicted performance with a various percentage. The proposed model explained 46.5% of the variance in performance.
Android Based Rural Decision Support Information System Model

The village needs to develop the independence and well-being of the community by improving knowledge, attitudes, skills, behavior, capacity, awareness, in utilizing resources through the determination of policies, programs, activities and mentoring that in accordance with the essence of the problem and the various priority needs of the villagers. The purpose of this research relates to the implementation of LAW Number 6 year 2014 Village, one of them about the potential information system Web-based integrated village to open information organization of Village governance to the public, the openness of public information so that citizens can be active together with the Government to build the village. Information is indispensable to know include: administration of the potential of the village, population administration, administration of research Objects, Village profile Village July Tambo Tanjong village, the village of Alue "Buya" Term Abeuk Budi with characteristic different Village , Research methods using Stochastic models and making the algorithm the Program so that the formation of a Database of android-based integrated Village by utilizing Cloud Computing and Mobile Computing, that makes it easier for users (community) in the to access the information in the respective decisions.. Models of decision support information systems Integrated Rural-based Android is the community to know how to make use of the existing resources for the activities of the noble mandate of appropriate LAW village. Research results are very useful especially for researchers as knowledge and very benefit to Central Government, Government Tk. I, Government Tk. II, Government districts and especially in the reign of the village as well as society in General.
Organization and development of cultural and educational activities of libraries-museums: problems and achievements

The essential features of libraries-museums and the peculiarities of their work, as well as the importance of museum activities of libraries in the development of scientific research, preservation and popularization of the national cultural heritage, are revealed. The activity of libraries-museums as innovative memorial and cultural-educational centers is analyzed. The general foundations of the social functioning of libraries and museums are highlighted. The achievements and prospects for the development of the activities of libraries-museums are characterized, in particular, on the examples of the work of these institutions in Ukraine.
DEVELOPMENT OF FUZZY MODELS FOR THE STUDY OF SUBJECTIVE ASSESSMENT OF COMFORT IN THE SCILAB ENVIRONMENT

The current state of construction and design of an apartment building in terms of comfort does not cover all the necessary aspects for the residence of future residents. Quantitative criteria are usually used, an excessive number of which, unfortunately, cannot improve the substance of the case between all the actors involved. This paper discusses the method of fuzzy description of uncertainty to assess the comfort of an apartment building using software products to find results over fuzzy values. A comparative analysis of quantitative and qualitative indicators of comfort, which are determined in conditions of uncertainty, which makes it difficult to make the optimal decision. Therefore, when evaluating all the influencing factors that affect the comfort of housing, it is proposed to apply fuzzy logic and choose a function that at certain input parameters corresponds to the representation of formalized terms in the study of membership functions. The theory of fuzzy logic makes it possible to reflect various methods of constructing fuzzy sets for the needs of the subject research described below. Fuzzy set theory is used to describe the comfort of an apartment building by calculating fuzzy numbers. Subjective logic is also a non-additive theory of uncertainty, namely its theory of possibilities, as well as a universal tool for modeling, on the basis of which the subject research is built. In addition, fuzzy sets have strong logical foundations in multitasking logic. The application of this fuzzy set to this topic has influenced the multi-criteria assessment of the quality of comfort of a high-rise building, and also helped to bring optimization methods to the needs of users. Therefore, a fuzzy set can take on any meaning of a linguistic variable, which includes certain terms to describe the comfort of a residential apartment.
VentStar Basic Breathing Circuits/Anesthesia Sets

Biomedical Safety & Standards 49(6):p 41-43, April 01, 2019. | DOI: 10.1097/01.BMSAS.0000554264.91880.03