Reviewerly/exHarmony huggingface dataset:
Novel Methodology for Recording Attendance using Face Recognition Algorithm

Recording supported exertion in a colossal corridor is conflicting, alarming, and it gobbles up key level of class time. To keep up a key superior to average ways from these issues, a reasonable undertaking framework utilizing immense learning structure is utilized. Recording the help of an understudy see an enormous progress in improving the likelihood of illuminating structure. Recording experience typically subject to the picture coordinating consolidations two stages: face presentation and face obvious declaration. Face certification and seeing check are well-gotten some information about issues in PC vision zone; which are beginning late not saw starting at now by genuineness of tremendous position groupings, clear light conditions, and impediments. In this paper, cutting edge face ID model is utilized to see the countenances and novel proclamation design to see faces. The proposed face request structure is shallower than the cutting edge framework and it has accomplished commensurate face assertion execution. 98.67% is assaulted on LFW and 100% on get together sitting area information. The get-together passage information was made by us for reasonable execution of the full scale structure through this effort.
Melanoma, Technology Development Partnership Award (DOD)

Federal Grants & ContractsVolume 44, Issue 11 p. 5-5 Grant Alerts Melanoma, Technology Development Partnership Award (DOD) First published: 04 May 2020 https://doi.org/10.1002/fgc.31055Read 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. Volume44, Issue117 May 2020Pages 5-5 RelatedInformation
Logical Switching

This chapter covers logical switching use cases and how logical switching is performed using NSX-T Segments. It is possible that Layer 2 can be stretched using TEP, MAC, and ARP tables. This chapter also explains how the GENEVE encapsulation works and how the segments are configured on the data plane using the NSX-T GUI. This chapter ends by explaining the different Segment profiles that can be applied to a Segment or a Segment port to configure more granular settings related to a specific segment or Segment port. It also explains how Broadcast, Unicast, and Multicast (BUM) traffic is handled using the two different replication methods.
TSD CPI Traffic Sign Detection Technique Based on Centroid Position Identification in Text Mining

Detecting and Identifying traffic sign is a complicated issue due to the changing variability in cloud conditions. Hence, it is necessary to identify and detect of traffic signs during journey. The traffic text sign identification fails due to noise, blur, distortion and occlusion. In order to identify the text, a technique should be adapted that recognizes the text with improved accuracy. In existing algorithms such as Histogram of Oriented Gradients (HOG) and Support Vector Machine (SVM) were not detecting the Centroid position. In this paper, the text Centroid of position sign is detected using text color, font and size. During journey, if the text is blurred, this Traffic Sign Detection Technique based on Centroid Position Identification (TSD-CPI) K-means algorithm for clustering is possible to use. As a result, it detects the text that with improved accuracy. Ultimately, it reduces the processing time. The experimental result reveals that using WEKA-3.8 with the proposed technique shows improvement over the existing algorithms in terms of precision and Recall which enhance the accuracy in text mining.
Preface

International Journal of Modern Physics AVol. 35, No. 02n03, 2002001 (2020) No AccessPrefaceV. M. Mostepanenko and E. N. VelichkoV. M. MostepanenkoSaint Petersburg, Russia and E. N. VelichkoSaint Petersburg, Russiahttps://doi.org/10.1142/S0217751X20020017Cited by:0 Next This article is part of the issue: SPECIAL ISSUE — Selected papers from the Tenth Alexander Friedmann International Seminar on Gravitation and Cosmology, Peter the Great Saint Petersburg Polytechnic University, Saint Petersburg, Russia, 24–28 June 2019Editors: V. M. Mostepanenko and E. N. Velichko AboutSectionsPDF/EPUB ToolsAdd to favoritesDownload CitationsTrack CitationsRecommend to Library ShareShare onFacebookTwitterLinked InRedditEmail You currently do not have access to the full text article. Recommend the journal to your library today! FiguresReferencesRelatedDetails Recommended Vol. 35, No. 02n03 Metrics History PDF download
Creating an Angular App, Part 2

In this chapter, I continue the development of the Angular web application started in Chapter 17 by adding the remaining features and preparing the application for deployment into a container. For quick reference, Table 18-1 lists the TypeScript compiler options used in this chapter.
Acknowledgement of Referees' Services Remerciements aux lecteurs critiques

Canadian Journal of StatisticsVolume 48, Issue 1 p. 130-134 Acknowledgement Acknowledgement of Referees' Services Remerciements aux lecteurs critiques First published: 11 February 2020 https://doi.org/10.1002/cjs.11538Read 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 Volume48, Issue1Special Issue: Special issue on Stochastic Models, Statistics and FinanceMarch 2020Pages 130-134 RelatedInformation
A Method for Automatic Vietnamese Speech Segmentation

In speech synthesis and recognition, the segmentation is an important step. The result of further steps depend completely on this process. There are several effective segmentation method in the literature, but for Vietnamese speech, researchers usually base on their experience to set the length while using sliding window. It causes an inefficient segmentation; and they need to try with the other value (length of voice). In this paper, we propose a method supporting in segmentation for Vietnamese speech and automatically determine the suitable length of voices and silent pause. We firstly estimate, by experimenting, the min and average length of a voice and a silent pause for Vietnamese speech in three main type speaking (slow, normal and fast). Then, based on these values, we start to segment the voice and pause by sliding window with proposed algorithm. Experiment results show that the proposed method can be used to effectively segment the Vietnamese speech.
Consuming GraphQL

In this chapter—the last in this book—I show you the different ways that a GraphQL service can be consumed by a React application. I show you how to work directly with HTTP requests, how to integrate GraphQL with a data store, and how to use a dedicated GraphQL client.
Catriona: A Distributed, Locally-Oriented, Z39.50 OPAC-Based Approach to Cataloguing the Internet

The aims of CATRIONA were: (1) to investigate the requirements for developing procedures and applications for cataloguing and retrieval of networked resources, and (2) to explore the feasibility of a collaborative project to develop such applications and procedures and integrate them with existing library systems. The project established that a distributed catalogue of networked resources integrated with standard Z39.50 library system OPAC interfaces with information on hard-copy resources is already a practical proposition at a basic level. At least one Z39.50 OPAC client can search remote Z39.50 OPACs, retrieve USMARC records with URLs in 856$u, load a viewer like Netscape, and use it to retrieve and display the remotely held electronic resource on the local workstation. A follow-up project on related issues is being finalised. [Article copies available from The Haworth Document Delively Service: 1-800-342-9678. E-mail address: getinfo@haworth.com ]
Administrative Innovations as Necessary Condition of Competitiveness in Schools

Abstract In the present-day education environment, requiring managerial flexibility in assessing ongoing changes, innovation becomes a prerequisite for effective management, and professional and psychological readiness of managers to apply management innovation – an indicator of managerial potential. Management innovation is today the “bottleneck” of educational management theory and practice. There are no theoretical models that are directly related to managerial innovation; technological innovations take priority in the practice of educational management; incorrect interpretation of innovations blunts their effectiveness. The school's competitive advantage today is not determined primarily by capital accumulation, but by the ability of management to initiate, appreciate and use changes, to learn faster than the rest from the experience of the changes. New theories of growth emphasize that it is the development of innovations that is an engine of sustainable educational growth. These circumstances determine management innovations as the domain that is the most in-demand for the development of education under the conditions of today.
International Monetary Fund – In Brief

Africa Research Bulletin: Economic, Financial and Technical SeriesVolume 57, Issue 1 p. 22871A-22871C Policy and Practice International Monetary Fund – In Brief First published: 01 March 2020 https://doi.org/10.1111/j.1467-6346.2020.09349.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 onFacebookTwitterLinkedInRedditWechat No abstract is available for this article. Volume57, Issue1March 2020Pages 22871A-22871C RelatedInformation
Research on the Listening Module in Film Music by Electroencephalography (EEG)

Let G be a graph, ν(G) the order of G, κ(G) the connectivity of G and k a positive integer such that k≤(ν(G)−2)∕2. Then G is said to be k-extendable if it has a matching of size k and every matching of size k extends to a perfect matching of G. A graph G is Hamiltonian if it contains a Hamiltonian cycle. In this paper, we define a parameter c(G) and show some of its properties in bipartite graphs. Let G be a bipartite graph with bipartition (X,Y) such that |X|=|Y| and c(G)>0, and C a longest cycle in G. We show that 0<c(G)≤κ(G)−1, G is Hamiltonian if ν(G)≤2κ(G)+4c(G)−2, and |V(C)|≥6c(G) if ν(G)>6c(G). We show some of its corollaries in k-extendable, bipartite graphs and two conjectures in k-extendable graphs.
Classes, Objects, and Modules

In Chapter 2, we dived straight into the principles of object orientation, the method of representing concepts in Ruby by using classes and objects. Since then, we’ve looked at Ruby’s standard classes, such as String and Array, worked with them, and then branched off to look at Ruby’s logic and other core features.
COMPARATIVE STUDY OF NOSQL DATABASES FOR BIG DATA STORAGE

Nowadays the amount of data that is required to be stored in databases relates to big data and that data is required to bestored in real time, but knowing that DBMSs cannot support such a thing, we use the NoSQL databases. NoSQL databasessupport
On Tree Graphs and Graph Forests

The chapter specifically addresses working with tree graphs and graph forests. We illustrate how to generate and recognise random tree graphs and how to compute the centres of a tree and draw a rooted and oriented tree. Finally, algorithms for computing spanning trees and forests are presented.
Civic crafting: the potential of Minecraft for municipal civic engagement

Minecraft, the popular video game, shows promise as a planning engagement tool: it allows players to experience and manipulate a three-dimensional environment, it is easy to learn and understand, it is engaging and immersive, it is adaptable, and it has already begun to be used for geodesign and planning engagement. However, this game has not yet been studied to determine how it could best be used for this purpose. Using an analysis of key informant interviews, this study seeks to address this deficit and reflect on the ways in which this game could help planners achieve various engagement goals. Key findings in this study address Minecraft’s usefulness as a visualization tool, its role in building trust, the place of play in planning, and the challenges associated with conducting an accessible, interactive online engagement using Minecraft.
An Authentication Technique for Accessing De-Duplicated Data From Private Cloud Using One Time Password

Objective: The main aim is to de-duplicate the redundant files in the cloud and also to improve the security of files in public cloud service by assigning privileges to the documents when it is uploaded by confidential user. Methods: To achieve the objective the authors have used the AES algorithm to encrypt the file stored after de-duplication in the cloud. De-duplication is done based on comparison of contents, file type and size. For an authorized user to access the file from the cloud, generation of OTP using SSL protocol is adopted. Findings: Files uploaded in the cloud are encrypted using traditional encryption algorithms which don't provide high levels of security. Files can be accessed by anyone who is authorized. Privileges are not considered. During de-duplication, only the name and size of the files are considered. Application: Files within the public cloud can't be viewed by everyone who has registered with the cloud. Those who have the respective privileges can only view the file. Proof of Ownership is assured. Since de-duplication is done based on the content redundancy within the cloud storage is avoided. Usage of OTP ensures that the content is viewed by the individuals who have the respective privileges related to the file. These concepts provide additional security to the files stored in the public environment.
A Comparison of the Language Features of BASIC and HyperCard

The potential value of learning to program can have a dual nature. Besides learning to control the computer, the programmer is learning a form of problem-solving. The cognitive effects of programming instruction have been well documented. BASIC was first developed at Dartmouth in the middle 1960s. Its widespread use in schools has been the reason researchers have often used it as the vehicle for their programming studies. Critics of BASIC have suggested that many of its features are not easily used in designing well-organized programs. HyperCard is the most widely used Macintosh authoring language and can be described as a “hypertext generator based on the concepts of hypermedia functioning as an intuitive personalized database”. The programming language of HyperCard is HyperTalk, Scripts are used to control stack processing and allow the user to control the actions of HyperCard objects.
Valuable Product ForReal World Requirement

In this modern age of online shopping, every platform that offers to galvanize their customers with exciting offers sometimes end up delivering the prodigal product. A different set of customer reviews is available on the website of these online shopping portals, but they do not give a proper way of analyzing in terms of statistics. This project will give its contribution in giving a numeric percentage based on the statistics generated by the help of the customer review on a specific product. The customer on websites of Amazon, Flipkart, snap deal and many more, post their thoughts on the product delivery and those data would be the key to the method. The method of approach that will be used to generate the base of benchmark criteria of product relevancy is sentimental analysis. The opinions in terms of text will be computationally identified in order to determine whether the writer’s attitude towards a particular product is positive, negative or neutral. The main objective of the project is to give a clear path of fundaments to work on while choosing a product. The methodology and idea can be used in other fields of work as well.
Preface

DMCIT 2019 was held in Beijing, China, May 24-26, 2019. DMCIT 2019 was organized by Asia Pacific Institute of Science and Engineering. This conference aims to provide a platform for researchers and engineers to share their ideas, recent developments and successful practices in data mining, communication and the related topics in information technology. The participants of the conference were from almost every part of the world, with background of either academia or industry, even well-known enterprise. The success and prosperity of the conference is reflected high level of the papers received.
Cropmarks used in aerial archaeology as special spatial indicators of soil features potentially applicable in soil mapping

&amp;lt;p&amp;gt;Cropmarks are a major factor in the effectiveness of traditional aerial archaeology. The positive and negative features shown up by cropmarks are the role of the different cultivated plants and the importance of precipitation and other elements of the physical environment. In co-operation with the experts of the E&amp;amp;#246;tv&amp;amp;#246;s Lor&amp;amp;#225;nd University a new research was initiated to compare the pedological features of cropmark plots (CMP) and non-cropmark plots (nCMP) in order to identify demonstrable differences between them. For this purpose, the spatial soil information on primary soil properties provided by DOSoReMI.hu was employed. To compensate for the inherent vagueness of spatial predictions, together with the fact that the definition of CMPs and nCMPs is somewhat indefinite, the comparisons were carried out using data-driven, statistical approaches. In the first round three pilot areas were investigated, where Chernozem and Meadow type soils proved to be correlated with the formation of cropmarks. Kolmogorov-Smirnov tests and Random Forest models showed a different relative predominance of pedological variables in each study area. The geomorphological differences between the study areas explain these variations satisfactorily. In the next round, the identified relationships between cropmarking and soil features are planned to be utilized in the spatial inference of soil properties, where crop-marking sites will represent a unique, spatially non-exhaustive auxiliary information.&amp;lt;/p&amp;gt;
Kilogram of Cyber Risk: Introducing Bitmort and Hekla

This chapter discusses metrology and introduces novel risk units for cyber risk measurement. It covers the history and applications of micromort and of value at risk (VaR). It then discusses how concepts behind micromort and VaR can be applied to the cyber context. This chapter formally defines cyber risk measurement units, bitmort and hekla, to measure both objective (e.g., exposure) and subjective (e.g., willingness-to-pay) aspects of cyber risk. Risk calculation examples using bitmort and hekla are also included.
Lexicon-based Sentiment Analysis for Product Design and Development

This paper discusses the role of text mining and sentiment analysis in collecting and analyzing customers’ verbatim/voice of the customer for product design and development. In the illustration case of designing car underbody, the data were collected from a car online forum discussion website and processed using text mining techniques with “underbody” as a keyword. The result of the analysis finds there are worries regarding underbody durability against rust and damages. This finding is used as a reference point for the car underbody design process.
Improved RC6 Algorithm using Two Types of Chaos Maps

RC6 (Rivest cipher 6) is keyblock chipher which consider symmetric imitative from RC5. It was intended to encounter the needs competition of the Advanced Encryption Standard (AES) . The aim of this work is to add new security layer to RC6 (Rivest Cipher 6) algorithm, because there is some insufficiency in the Key Scheduling Algorithm (KSA) of RC6. This paper presents improved RC6 (IRC6) key generation based on two types of chaotic maps (Chebyshev,2d logistic) to generate N key to N users. The results prove that the average secrecy of IRC6 is better than of traditional RC6, in which: for 32 bits’ key length, and 256 bits’ plaintext size, the average secrecy of IRC6 is (0.536 - 3.907) while for RC6 is (0.254 constant).
Cyberspace cryptic crossword answers

We hope you enjoyed the digital-themed cryptic crossword in our March special issue celebrating 30 years of the World Wide Web. It’s now time to reveal the answers (and apologies they’re a month late).
Editors' introduction

This chapter indicates that there is both considerable variation in the length of Open Dialogue (OD) training programmes and in the way OD services are being developed. It is inevitable though that there will continue to be differences between services, reflecting both the local culture and variations in the extent of service development. It will be important, then, in evaluating any research conducted in settings developing OD, to clarify the extent of the training and service development, so as to fairly judge the project in hand, but also to be fair to the research from Western Lapland, where the entire service has been fully redeveloped in line with the seven principles of OD and where staff training is to a high level. High-quality outcome research does not necessarily lead to the implementation of ‘proven’ methods, implication being that there is some outcome research that is welcome and some that is not so welcome, perhaps because it challenges an existing ideology.
A robust target recognition and tracking panoramic surveillance system based on deep learning

A panoramic surveillance system is designed to achieve continuous monitoring of the surrounding environment. The image acquisition module of the system is composed of five fixed-focal-length cameras and one variable-focal-length camera, which realizes 360 degree environmental surveillance. An adaptive threshold is used to dynamically update the background template in order to better accommodate various weather changes. Further, a pixel-level video moving target detection algorithm is applied to effectively detect whether an intruding target exists and determine the direction of the target. It shows the advantages of less computation and preferable detection accuracy. Once an intrusive target is found, the deep convolution neural network SSD is employed to recognize the specific target quickly. As common sense, visual object tracking is one of the most attractive issue in computer vision. Recently, deep neural network has been widely developed in object tracking and shown great achievement. Here, we propose an end-to-end lightweight siamese convolution neural network to achieve fast and robust target tracking. The experiment result shows panoramic surveillance system can effectively and robustly perform security tasks such as panoramic imaging, target recognition and fast target tracking. At the same time, the deep convolution neural network can recognize and track the target accurately and quickly, which meets the real-time and accuracy requirements of practical task.