Reviewerly/exHarmony huggingface dataset:
Lithological Mapping Based on Geochemical and Remote Sensing Data Using a Hybrid Method of Random Forest and Metric Learning

Multi-source geoscience data (e.g., geology, geochemistry, geophysics, and remote sensing) provide abundant information for mineral exploration in different ways.For example, remote sensing images record the electromagnetic characteristics, and geochemical data represent the enrichment or depletion of geochemical elements, which reflect the physical and chemical attributes of lithological units, respectively.In this study, we developed a hybrid model that comprised of data fusion technology and metric learning method.Multi-source data fusion technology was first used to provide more accurate information for lithological identification by integrating geochemical data and ASTER remote sensing images, which retain the distribution characteristics of geochemical anomalies and clearer texture structure in remote sensing images.To address the redundant information in the fused data, a random forest metric learning (RFML) approach was introduced to promote classification and computing efficiency.RFML use random forest as the basic framework and applies metric learning to the classification of every decision tree, making full use of the advantages of random forest and metric learning.This process was illustrated through a case study of lithological mapping in Cuonadong dome, the northern part of the Himalayan, China.Seven target lithological units were effectively discriminated, with an 93% overall accuracy.This study provides an important scientific basis for further mineral exploration by detecting geological features under harsh natural conditions.
Preface

The 2 nd International Conference on Computer, Science, Engineering, and Technology (ICComSET-2019), provides an excellent international forum for sharing knowledge and results in theory, methodology and applications of Computer, Science, Engineering and Technology in theoretical and practical aspects. The conference aims to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development. The 2 nd ICComSET-2019 is organized by Universitas Muhammadiyah Tasikmalaya and Universitas Muhammadiyah Tangerang. The 2nd ICComSET-2019 secretariat has received more than 300 submissions from 6 countries: Malaysia, Algeria, Iraq, Ukraine, India, and Indonesia. The program held in Allium Hotel Tangerang, and supported by several universities as Co-Host, including Universitas Muhammadiyah Tapanuli Selatan, Universitas Jenderal Achmad Yani, Universitas Muhammadiyah Kudus, STIKES Muhammadiyah Klaten, Universitas Muhammadiyah Sukabumi, STKIP Muhammadiyah Sampit, Universitas Langlangbuana, and Universitas Widyatama. Each paper has been reviewed by the program committee which consisted of more than 300 scientists from more than 6 countries. The conference program consists of 2 keynote speakers (60 min), 5 Invited speakers (150 min), 5 parallel sessions, one poster session, and six round tables. We would like to thank the scientific committee, and reviewers, as well as the committee of the Universitas Muhammadiyah Tasikmalaya, Universitas Muhammadiyah Tangerang, and Co-Host who have participated in the success of this event so that this event can be held as planned. We also conveyed to the Rector of Universitas Muhammadiyah Tasikmalaya who had supported this event both in terms of finance and other supporting facilities. List of General Chair, The Editors, CONFERENCE PHOTOGRAPH, Program Committee, Organizing Committee are available in this pdf.
Kazan Federal University

Kazan Federal University (KFU) has one of the longest histories among Russia universities and has contributed significantly to education and science in the country throughout its 212 years. KFU has lived through several transformations since its establishment in 1804, the latest of which started in 2010 and is a part of a wider framework of higher education reforms in Russia. Priority areas for development were identified as part of KFU’s innovation programme – teacher education was one of these. Kazan Federal University is the first classical university in Russia seeking to create a new model of teacher education alongside the previously existing model of teacher training universities that has remained unchanged for several decades. The first stage in this innovation and development process was the merger, in 2011, of two pedagogical universities with KFU, one in Kazan itself and one in Elabuga, a city 200 kilometers to the east of Kazan. It was one of the first such mergers in Russia and as a result of it, KFU became the third largest teacher training institution in the country. KFU is now one of the few Russian universities to offer all the levels of teacher education and teaching majors in all the subjects of the current secondary school curriculum. This chapter charts the transformations that have taken place in teacher education at KFU.
Model checking software product lines based on feature slicing

Feature model is a popular formalism for describing the commonality and variability of a software product line in terms of features. Feature models symbolise a presentation of the possible application configuration space, and can be customised based on specific domain requirements and stakeholder goals. As feature models are becoming increasingly complex, it is desired to provide automatic support for customised analysis and verification based on the specific goals and requirements of stakeholders. This paper first presents feature model slicing based on the requirements of the users. We then introduce three-valued abstraction of behaviour models based on the slicing unit. Finally, based on multi-valued model checker, a case study was conducted to illustrate the effectiveness of our approach.
Cover

Meteoritics & Planetary ScienceVolume 55, Issue 8 p. i-i CoverFree Access Cover First published: 05 October 2020 https://doi.org/10.1111/maps.13333AboutPDF 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 Graphical Abstract Volume55, Issue8August 2020Pages i-i RelatedInformation
Vulnerability Model and Attack Path Prediction of the UEFI Firmware Platform Based on Risk Propagation

Targeted at the situation of rampant attack on UEFI Platform Firmware, this paper systematically analyzes the Security mechanisms of UEFI platform firmware.Then the vulnerability factors of UEFI firmware are described by modeling language, and a vulnerability model of UEFI firmware platform based on risk propagation (VMURP) is proposed.This paper introduces an improved PageRank algorithm to this model to reduce the influence of subjective factors which influences the accuracy of model.Based on VMURP model, an innovative method is proposed which using security configuration vector and attack vector to evaluate attack paths.Then, we use this method and VMURP to predict the most possible attack path of specific UEFI firmware platform.Finally, verify the rationality of the model and the validity of the prediction by experimental analysis.This study is helpful to quickly evaluate the vulnerability of UEFI firmware platform and predict possible attacks, gives platform managers more targeted guidance and suggestions to strengthen the security mechanisms.
A Low Power Shift Add Multiplier for Lifting Based Dwt using Kogge Stone Adder

The most common technique used for image processing applications is ‘The wavelet transformation’. The Discrete Wavelet Transform (DWT) keeps the time as well as frequency information depend on a multi resolution analysis structure, where the other classical transforms like Fast Fourier Transform (FFT), Discrete Cosine Transform (DCT) will not do that. Because of this feature, the quality of the repaired image is improved when comparing to the other transforms. To implement the DWT on a real time codec, a fast device needs to be targeted. While comparing with the other implementation such as PCs, ARM processors, DSPs etc, Field Programmable Gate Array (FPGA) implementation of DWT had better processing speed and costs were vey less. A Fast Architecture based DWT using Kogge Stone Adder is proposed in this paper where the coefficients of lifting scheme are calculated by using Shift adder and Kogge Stone Adder where other techniques used multiplier. The most important intention of the suggested technique is to use minimum calculation and limited memory. The simulation of the suggested design is dole out on the Xilinx 14.1 style tool and also the performance is evaluated and compared with the present architectures.
Identifikasi dalam Penetapan Staf Dosen dan Karyawan Berprestasi dengan Menggunakan Metode SMART

STMIK Indonesia Padang annually selects the best lecturers and employees to give appreciation for the performance of lecturers and employees. Lecturers and employees who take the assessment to appreciate the Performance Appraisal must meet the requirements and participate in the assessment process. The purpose of this research is to identify in determining the staff of lecturers and staff with achievement who are shorter in terms of calculations and also in accordance with the criteria. The sample in this study consisted of 4 lecturer data and 3 employee data taken randomly from 36 lecturer data and 26 employee data sourced from LP3M STMIK Indonesia Padang. Based on the analysis of lecturer and employee data, several criteria were obtained for processing these criteria, namely for lecturers the suitability of teaching materials with RPS (K) (Q1) teaching materials (Q2), teaching time (Q3), research (Q4) and GPA (Q5). ) then for employees, namely attendance (R1), performance (R2) and loyalty (R3). The method in this research is SMART (Simple Multi - Attribute Rating Technique) because this method is able to solve problems with multi-criteria. The results of the data testing obtained were Lecturers with achievements, namely DHD lecturers with a value of 0.8521 and outstanding employees, namely ARD employees with a value of 0.9998. The results of this study are expected to provide solutions for the identification of outstanding lecturers and staff at STMIK Indonesia Padang based on predetermined criteria.
Fringe Pattern Analysis: Some Results and Discussions (III)

Fringe-based measurement techniques provide an accurate, straightforward and convenient means for optical metrology and experimental mechanics [1]. Consequently, fringe pattern analysis is an important issue. We have reported... | Find, read and cite all the research you need on Tech Science Press
Ex Libris

Free AccessEx LibrisHanna MiethnerHanna Miethner Humboldt-Universität zu Berlin Unter den Linden 6 10099 Berlin Deutschland https://hu-berlin.de Wiss. MitarbeiterinSearch for more papers by this authorPublished Online:Dec 2019https://doi.org/10.13109/path.2019.108.12.527SectionsPDF/EPUB ToolsAdd to favoritesDownload CitationsTrack Citations ShareShare onFacebookTwitterLinkedInRedditEmail About Previous article FiguresReferencesRelatedDetails Download book coverVolume 108Issue 12December 2019 ISSN: 0720-6259eISSN: 2197-0831HistoryPublished online:December 2019 PDF download
Ensuring Consistent Usage Statistics, Part 2: Working with Use Data for Electronic Journals

SUMMARY. A review of recent journal use data at the Medical College of Wisconsin Libraries showed a rapid shift in user preferences. The decline in print use was as dramatic as the increase in the use of electronic versions. Some of the unusual challenges of producing use reports for electronic journals are presented in this article. Last, but not least, some observations about the relationship between the access infrastructure and electronic journal use are discussed. [Article copies available for a fee from The Haworth Document Delivery Service: 1-800-HAWORTH. E-mail address: &lt;docdelivery@haworthpress.com &gt; Website: &lt; https://www.HaworthPress.com&gt;]
Railway Access Control System using Face Recognition

Nowadays booking tickets and getting inside a railway station is adifficult task. Manual checking becomes a burden and time consuming. Also as everything is getting digitized in this modern world introduce face recognition and Quick Response (QR) code system for entry helps in passenger convenience.Face recognition is a method of identifying or verifying the identity of an individual using their face. Face recognition systems can be used to identify people in photos, video, or in real-time.So this system focuses on passengers’ convenience through allowing them to book tickets online and by introducing face recognition system and QR code system for entry to a railway station.This system helps inidentifying people who try to travel without buying tickets and also helps toapprehend the blacklisted person which increases security in the railway station. Online booking is one of the convenient ways tobook the ticket. This system also provides the convenience to passenger by issuing the digital ticket in the form of QR code thus avoiding any fuss due to the loss of the physical ticket.
Influence of Educational Software ”Kindermat” in Learning of Geometric Shapes in Five-year-old Children

The pandemic caused by COVID-19 forced a mandatory confinement throughout the planet, thus, teachers and students distanced themselves and caused the migration from face-to-face to virtual education. This drastic change in education greatly affected Peru, as technological tools were required to support the student in the learning process. For this reason, the educational software KINDERMAT was built, which is a web application that supports the learning of geometric shapes in preschool children. The research aims to determine how KINDERMAT influences the conceptual and practical learning of geometric shapes in children 5 years old. To achieve this, students from an Educational Institution in Peru are taken as a sample, dividing them into two groups: experimental group (GE1) and control group (GE2). A post-test is applied to both groups following a quasi-experimental design. Finally, it was shown that the KINDERMAT educational software positively influences learning in the students in the sample, since there is a 15.5% improvement in the learning of children who used the KINDERMAT educational software compared to children who did not use it.
Türkçe’den İngilizce’ye Edat Çevirilerinde Karşılaşılan Çeviri Sorunları

This paper is part of the research into the study of linguistic and semantic translation problems caused by prepositions, the function of which is known to establish a concrete and abstract relation of semantic compatibility with and between the other lexical items within and across the sentence.One of the primary duties and hurdles of translation is to remove the ambiguity in what is to be translated.The problem of ambiguity to be faced about translating prepositions stems from the polysemous structures of prepositions.In this case, where the translation of the often-used prepositions in two different languages, say, Turkish and English, is at stake, what strategy ought the translator to follow?What kinds of prepositions are rendered inadequately?What kinds of translational mistakes are expected in translating prepositions?Of the linguistic, cultural or personal competence factors, which one is expected to influence the most the translational decisions with regards to prepositions?The aim of this paper is to shed light on these kinds of problems likely to be encountered when translating prepositions.In this scope, how prepositions might dominate the meaning transfer in line with the intended use and function of prepositions will be under discussion.
Afreximbank

Africa Research Bulletin: Economic, Financial and Technical SeriesVolume 57, Issue 6 p. 23049A-23049A ECONOMIC TRENDS Afreximbank First published: 04 August 2020 https://doi.org/10.1111/j.1467-6346.2020.09584.xRead the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onEmailFacebookTwitterLinked InRedditWechat No abstract is available for this article. Volume57, Issue6August 2020Pages 23049A-23049A RelatedInformation
The Use of ICTS in the Teaching and Learning of Basic Science and Technology in Public Junior Secondary Schools in Owerri Educational Zone1

This study investigated the use of ICTs in teaching and learning of Basic Science and Technology in junior secondary schools in Owerri Educational Zone1.The specific objectives were to investigate the level of use of ICTs in schools in the area under study; Investigate the effectiveness of use of ICTs in teaching and learning of Basic Science and Technology; evaluate the competency level of male and female teachers in the use of ICTs in teaching of Basic Science and Technology; Identify the factors limiting the use of ICT in teaching and learning Basic Science and Technology.Four research questions and two hypotheses served as guide to the study.The population consists of 100 teachers and 200 students randomly selected from junior secondary schools within the area under study.Two well structured rating scales were used to collect data for the study.Data collected were analysed using Mean and Analysis of Variance (ANOVA).Results indicated that the use of ICTs was effective in improving teachers' performance in Basic Science and Technology.The competence level of Basic Science and Technology teachers' use of ICTs in teaching and learning was low.Among the factors that limit the use of ICTs in the teaching and learning are: Poor power supply, lack of competent teachers, poor maintenance of available ICT facilities, Teachers negative attitude towards ICT tools, lack of motivation by the government, high cost of ICT tools are the factors militating against the use of ICTs in teaching and learning.Hence, it was recommended that Government and cooperate bodies should invest and improve the use of ICTs in teaching and learning, in-service training courses should be offered to teachers who need to learn how to utilize ICT tools and resources, schools through ministry of education should seek technical partnership and collaborative funding with international and national organizations to provide and maintain more ICT facilities in the schools and remuneration of teachers should be subjected to upward review from time to time.
Algorithmic Approaches For Image Edge Detection

Edge detection is most important technique in digital image processing. It play an important role in image segmentation and many other applications. Edge detection providesfoundation to many medical and military applications.It difficult to generate a generic code for edge detection so many kinds ofalgorithms are available. In this article 4 different approaches Global image enhancement with addition (GIEA), Global image enhancement with Multiplication (GIEM),Without Global image enhancement with Addition (WOGIEA),and without Global image enhancement with Multiplication (WOGIEM)for edge detection is proposed. These algorithms are validatedon 9 different images. The results showthat GIEA give us more accurate results as compare to other techniques.
فاعليّة إستراتيجية روبنسون (SQ3R) في تنمية مهارات الفهم القرائي لدى طالبات الصف الثامن الأساسي بسلطنة عمان

This study aimed at investigating the effectiveness of Robinson's strategy (SQ3R) on developing reading comprehension skills of basic eighth grade students. The researchers prepared a list of reading comprehension skills for eighth grade students, a reading comprehension test, and a strategy guide to help teachers implement the strategy. The sample of the study was divided into two groups; experimental group, which studied reading using Robinson’s strategy and a control group which studied reading in the regular way. The results indicated that there was a statistically significant difference between the mean scores of the students in the experimental and control groups in the post- test of the reading comprehension skills in favor to the experimental in five levels of reading comprehension, namely, literal, deductive, reasoning, critical, and creative. In addition, there was no statistically significant difference between the two groups at the explanatory and sense levels.
Security Vulnerability and Possible Attack Methods in e-commerce

E-Commerce Is The Process Of Selling Or Purchasing Of Goods Via Utilizing Online Services. Nowadays, E-Commerce Has Become An Integral Part Of Business Websites. In This, Third Party Services Are Being Used Most Commonly, Which Offer Ready To Use Setup For The Companies. Numerous Services And Technologies Are Used By The Firms Such As Applications For Payment-Processing (These Can Also Be Offered By Third Parties). Sometimes, Business Companies May Also Develop Their Own Customised Software At Specialised Price Or May Use Their Personal Software By Combining It With Third Party Software. Therefore, E-Commerce Websites May Succeed By Providing Secure Services To Their Customers, Such As Their Personal Information, Cards Details Etc. Must Be Secured With Trusted Encryption Technologies. But, At The Same Time, Widespread Use Of E-Commerce Is Accompanied With Certain Security Related Challenges. Hackers Try To Find Loopholes In The System Using Several Techniques. Hence, Taking The Preventive Measure And Educating Customers About The Threats May Help In Keeping The Customer Faith On Websites. Otherwise, If A Website Has Poor Encryption Technologies, Then It May Fail To Gain Customer Trust.
Virtual Disclaimer

Affected by COVID-19, the conference committees decided to cancel onsite interactive of 2020 International Conference on Advanced Electrical and Energy Systems (AEES2020) in Osaka, Japan, and change the conference form to full remote conference in a virtual environment from August 18-21, 2020 by “ZOOM”. In order to insure all accepted papers can be published on time successfully, this conference cannot be postponed or cancelled. So virtual conference is the great option for conference organizer, committee members and participants. This year, there are around 14 participants including Keynote experts from Japan, China, Canada, Astralia, UAE, France, Italy and Sultanate of Oman to attend AEES2020 virtual conference. All keynote, parallel oral sessions, discussions and other activities have been offered in online service. Each expert has 45 mins for key speech while each author only has 15 mins for oral presentation including “question and anwers” part. Last but not the least, we’d like to express our gratitude to thank all members of conference committee members for their dedication and contribution to the conference; without their hard work, the conference would not be successful.