Reviewerly/exHarmony huggingface dataset:
Image saliency and co-saliency detection by low-rank multiscale fusion

Saliency and co-saliency detection aim to distinguish conspicuous foreground objects from single and multiple images, thus are essential in many multimedia and vision applications. To achieve balanced efficiency and accuracy, most recent successful saliency detectors are based on superpixels. However, saliency detection with single-scale superpixel segmentation may fail in capturing intrinsic salient objects of complex natural scenes with small-scale high-contrast backgrounds. To tackle this problem, we present a simple strategy using multiscale superpixels to jointly detect salient object via low-rank optimisation. Specifically, we first build a multiscale superpixel pyramid and derive the corresponding saliency map by multimodal saliency features and priors at each single scale. Then, we use joint low-rank analysis of multiscale saliency maps to obtain a more reliable and adaptively-fused saliency map, which properly takes all scales saliency into account. We further propose a GMM generative co-saliency prior to enable the above approach to detect co-salient objects from multiple images. Extensive experiments on benchmark datasets validate the effectiveness and superiority of the proposed saliency and co-saliency detector over state-of-the-arts.
Academic Orientation Programme 2021. Researcher Visibility & Sharing our work beyond the University

&lt;p&gt;This presentation introduces academics and researchers to the value of formal and informal technologies in promoting the visibility and discoverability of their online researcher identity. Topics covered in the presentation include Open Access, Creative Commons licensing, Institutional Repositories, Research Data Management, ORCID, Research Collaboration &amp; Social Scholarship, Researcher impact &amp;citation analysis, Social Media, and Altmetrics.&lt;/p&gt;
ANALISIS KESALAHAN BERBAHASA DALAM BROSUR PPDB (PENERIMAAN PESERTA DIDIK BARU) SMA SEDERAJAT KABUPATEN BOYOLALI

The study entitled “Analysis of Language Errors in The PPDB Brochure (Acceptance of New Students) of the senior highschool in Boyolali District” aims to describe the language errors contained in the PPBD highschool equivalent brochure in Boyolali regency. In examining this reasearchers used qualitative describtion method, so researchers tried to describe the form or type of language errors found in the brochure. The research data is in the form if words, phrases, and sentences contained in the brochure. The source of the data in this study is the PPDB senior highschool advertisement that equivalent in Boyolali regency. The data collection techniques are by (1) direct observation by looking for the PPDB seniorhighschool equivalent level in Boyolali Regency, both print and online; (2) reading brochures obtained; (3) record and mark language errors. While the data analysis techniques are, (1) reading brochures that have been obtained (2) record any errors encountered; (3) classifying errors; (4) analyze data; (5) presenting data. The results of this study were found to be errors in the spelling level, morphology, punctuation, word selection or diction, and word writing.
A Multimodal Biometrics for Aadhaar Based Secured E-Voting System

False polling is still a significant issue in elections in the latest moments. In this job, an effort is made to fix this issue using current Aadhaar card database and electoral biometrics. This scheme authenticates electors by combining multimodal biometrics such as picture, eye, and palm printing, after which registration is verified by verifying the age that enables only qualified applicants to register. The time needed for authentication is decreased by using the corresponding Aadhaar amount and multimodal biometrics. This is authentication will be achieved by inspecting whether the registered Aadhaar amount and multimodal biometrics match or not without linking it with the entire biometric database to boost authentication pace. The polling of ballots will be performed automatically so that space is decreased and results can be announced in less moment. The improvisations strive to increase the system's safety, efficiency, efficiency, scalability. This suggested a safe internet e-voting system (EVS) that utilizes as its backend UIDAI or Aadhaar database. In this job, the entry pictures are originally preprocessed and the removal of features is achieved using Improved Gabor filters. Enhanced Support Vector Machine Algorithm (eSVM) is used to match and classify features development of this scheme will render the polling method more comfortable and can, therefore, contribute to enhanced turn-out. Using this multimodal biometric system for voting purposes, election rigging was easily avoided.
MEDIA

Africa Research Bulletin: Political, Social and Cultural SeriesVolume 58, Issue 1 p. 23037C-23037C Social and Cultural MEDIA First published: 16 February 2021 https://doi.org/10.1111/j.1467-825X.2021.09856.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. Volume58, Issue1February 2021Pages 23037C-23037C RelatedInformation
Ice Giant Seismology: Prospecting for Normal Modes

Earth and Space Science Open Archive This work has been accepted for publication in Other. Version of RecordESSOAr is a venue for early communication or feedback before peer review. Data may be preliminary. Learn more about preprints. preprintOpen AccessYou are viewing the latest version by default [v1]Ice Giant Seismology: Prospecting for Normal ModesAuthorsA. JamesFriedsoniDSee all authors A. James FriedsoniDCorresponding Author• Submitting AuthorJet Propulsion LaboratoryCalifornia Institute of technologyiDhttps://orcid.org/0000-0002-7712-0583view email addressThe email was not providedcopy email address
Latent class cluster analysis

This paper describes the technique of exploratory latent class cluster analysis. The classical analysis is a model-based statistical approach for identifying unobserved subgroups from observed categorical data and for classifying cases into the identified subgroups based on membership probabilities estimated directly from the statistical model. In the first part on mathematical modeling of the paper, we introduce the data and the sampling distribution for the data as required in the analysis of latent classes, the fundamental model assumptions are reviewed, and the general unrestricted latent class model is presented. Classification of cases into the clusters using modal assignment is discussed. In the second part on inferential statistics of the paper, we briefly review the classical maximum likelihood methodology related to parameter estimation and model testing, and the information criteria AIC and SIC for model selection. In the third part on case study of the paper, the General Social Survey data are analyzed using the software Latent GOLD. We present the Latent GOLD profile plot and tri plot options for the graphical representation of the results. The Latent GOLD classification output illustrating the assignment of respondents to the latent survey respondent types is also shown.
Full Issue

Africa Research Bulletin: Economic, Financial and Technical SeriesVolume 57, Issue 12 p. I-I Full Issue Full Issue First published: 03 February 2021 https://doi.org/10.1111/j.1467-6346.2021.09843.xAboutPDF 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 Volume57, Issue12February 2021Pages I-I RelatedInformation
HEVC Information Hiding Algorithm Based on Intra Prediction and Matrix Coding

Aiming at the problem that the data hiding algorithm of high efficiency video coding (HEVC) has great influence on the video bit rate and visual quality, an information hiding algorithm based on intra prediction mode and matrix coding is proposed. Firstly, 8 prediction modes are selected from 4×4 luminance blocks in I frame to embed the hidden information. Then, the Least Significant Bit (LSB) algorithm is used to modulate the LSB of the last prediction mode. Finally, the modulated luminance block is re-encoded to embed 4 bits secret information. Experimental results show that the algorithm improves the embedding capacity, guarantees the subjective and objective quality of the video, and the bit rate increases by 1.14% on average.
The use of slides in oral presentations

This chapter describes why we use slides in presentations, and how to use design principles to think about creating a slide presentation from scratch.
Algorithmic and Advanced Programming in Python - Syllabus in Computer Science, Decision Making &amp;amp; Data - Masterclass 4

This paper is the fourth of a series of 9 lecture notes in Algorithmic and Advanced Programming in Python that are part of the Syllabus of Dauphine PSL's Master in Computer Science, Decision Making & Data. It taught advanced data structure in python with a focus on core and practical details to learn the ins and outs of advanced data structures. In this lecture, you will learn Hashing concept, Hashtable, Load factor and collisions.
PEMANFAATAN PENERAPAN BAHASA ASING SEBAGAI PENGUAT LITERASI BAHASA INDONESIA

ABSTRACTThis journal discusses the problem of using foreign language as an amplifier of Indonesian language literacy. This journal aims to find out the benefits of the application of a foreign language, in this case English for Indonesian literacy works, especially in the Indonesian Language Education Study Program FKIP UNS. Data in the form of documents were analyzed using qualitative descriptive techniques. The purpose of this study is to show the importance of foreign languages in Indonesian language literacy. The results show that the role of foreign languages in Indonesian language literacy is useful in; (a) support reference sources in Indonesian language literacy, and (b) improve foreign language skills as a provision for knowledge.
Blog Pagination

Currently, we are displaying all of the blog posts on the index page. This is fine for just a handful of entries, but in most real-world sites, entries are broken up into pages. In this chapter, we will add some more blog entries and implement pagination.
MarkUs: A Social Experience Built Using Augmented Reality

MarkUs - a social experience built using the immersive power of Augmented Reality. There has been a plethora of Social Networking Applications around they provide some of the best Social Experiences. However, the territory of Augmented Reality in Social Networking remains an uncharted region. There has been extensive use of face filters by various social networking sites, but we believe that AR has a lot to offer in the social sector. MarkUs tries to extract the best AR experiences for its users by using various technologies which include real-time cloudless atlas and positioning systems. It takes advantage of AR technologies available for mobile phones and makes sure that the heavy computation required for AR does not fall on these devices. MarkUs facilitates various features which include AR journey Books, Various Community Sections dedicated especially to a particular field of interest. AR Live Location Posts and flawless communication with friends. MarkUs uses Mapbox SDK that provides cloudless atlas and positioning required to create Live Location Posts and 3D Map of the world. The proposed system selected React Native to build the foundation. React Native is one of the most popular options to create mobile apps and is extremely lightweight and provides higher flexibility to create flawless UI and their corresponding functionalities. In this system, MongoDB is used to store user data along with their Live Location so that they can reap the benefits of our exclusive features. Also use highly-scalable NodeJs Micro-Services for fast, smooth and efficient data flow.
Preface

The 3rd International Conference on Robotics and Mechatronics (ICRoM 2019) was held on August 9-11, 2019, in the Horizon Hotel in the beautiful city of Kota Kinabalu Sabah. Since its inception, ICRoM has attracted many researchers from all over the world to share their findings. The delegates are from the USA, England, Czech Republic, Iraq, China, Malaysia, Thailand, and India. Despite ICRoM 2019 aims for different topics, the conference has been successfully gathered different researchers to discuss ideas for multidiscipline research which are required for current and future technology. In addition, with the advancement of many aspects of engineering and technologies, we believe that ICRoM 2019 has played a vital role to contribute a significant knowledge and practical implementations particularly in Manufacturing Technology as well as Automation and Mechatronics Engineering. We would like to thank all excellent Keynote Speakers and Invited Speakers which have delivered and shared their current research, respectively. The presentation started with Prof. Kok-Meng Lee (Georgia Institute of Technology, USA), followed by Prof. Li Lu (National University of Singapore, Singapore), Prof. Sujan Debnath (Head of Mechanical Engineering, Curtin University, Malaysia), Assoc. Prof. Vincent Lee Chieng Chen (Curtin University, Malaysia), Prof. Dr. Eric Dimla (RMIT University Vietnam, Vietnam), Assoc. Prof. Petr Valasek (Czech University of Life Science Prague, Czech Republic), Assoc. Prof. Jamaludin Jalani (Universiti Tun Hussein Onn Malaysia, Malaysia) and finally distinguished oral presentations. We also would like to thank all the reviewers and proceeding team for their time and effort to ensure the proceeding document are in good quality. We sincerely hope that the proceeding will benefit to the people brought by the academic community and industrial practitioners. Continuous supports are essential from various parties particularly academicians, students, researchers, professionals, engineers, and scientists from academia and industry to ensure even more meaningful conferences are served in the future with numerous critical idea exchanges, diverse opportunities for fruitful networking and future collaborations between the delegates. Warmest regards, Conference Program Chair Assoc. Prof. Jamaludin Jalani Universiti Tun Hussein Onn Malaysia, Malaysia ICRoM 2019 Committee
Commercial and Open Access Integrated Information Search Tools in Indian Libraries

A library portal is single-user interface for accessing a wide variety of electronic resources, both within and outside the library. A few federated search engines like EBSCO Discovery service, Summon (web scale discovery service), Knimbus, Mendeley, FedGate, ABCD open source software, Google CSE etc. are being used by libraries to give access to all subscribed or free online e-resources as well as library catalogues, archives' and other reading materials in the library to save the time of readers and give easy access to multiple databases and resources through federated search tool. In distance learning and online education environment libraries need to provide the right information on a single platform to its users from all resources or databases available in the library in a minimum of time. In this chapter the author discusses about the selected commercial as well as open source discovery tools used in Indian Libraries.
Learning Reliability

In this chapter, we propose a novel reliability estimation concept for ego-lane detection. By that, the reliabilities of the participating sensors are learned and estimated using multiple classification approaches, whose input data consists of different types of information, such as contextual data, sensor measurements. Afterward, we demonstrate the feasibility of our introduced concept by applying it to real data.
The optical reservoir computer: a new approach to a programmable integrated optics system based on an artificial neural network

In this chapter, we briefly reviewed some developments in the field of integrated optics since Miller first introduced this concept, noting some approaches to optimise structures based on functional performance criteria.
Just in Time vs. Just in Case: Examining the Benefits of Subsidized Unmediated Ordering (SUMO) vs. Journal Subscription

In this session, there were two presentations covering the same subject from different points of view. The main conclusions are that document supply is a viable alternative to journal subscription and interlibrary lending for an academic library; document supply is generally used sparingly to supplement existing collections; and document supply is not a threat to journal subscriptions. The two studies–one for a particular university, the other analyzing summary data for multiple publishers and two document supply services–reinforce each other’s conclusions. [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;http://www.HaworthPress.com&gt;]
Visualization Strategies for Regression Estimates with Randomization Inference

Coefficient plots are a popular tool for visualizing regression estimates. The appeal of these plots is that they visualize confidence intervals around the estimates and generally center the plot around zero, meaning that any estimate that crosses zero is statistically non-significant at at least the alpha-level around which the confidence intervals are constructed. For models with statistical significance levels determined via randomization models of inference and for which there is no standard error or confidence intervals for the estimate itself, these plots appear less useful. In this paper, I illustrate a variant of the coefficient plot for regression models with p-values constructed using permutation tests. These visualizations plot each estimate's p-value and its associated confidence interval in relation to a specified alpha-level. These plots can help the analyst interpret and report both the statistical and substantive significance of their models. Illustrations are provided using a nonprobability sample of activists and participants at a 1962 anti-Communism school.
What's Coming in Future Issues

AORN JournalVolume 113, Issue 2 p. 220-220 What's Coming in Future Issues What's Coming in Future Issues First published: 03 February 2021 https://doi.org/10.1002/aorn.13322AboutPDF 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. Volume113, Issue2Special Focus Issue: COVID-19February 2021Pages 220-220 RelatedInformation
Server Clustering in Cloud Computing Using Proxmox Based High Availability Method

Cloud Computing technology Service and data stored on machine, the server this makes important factor engine server as a supporting service availability. More and more users are accessing the service will result in engine performance server load becomes heavier and less than optimal, because the service must work continuously to provide data that can be accessed anytime by the user via the network connected. Server hardware has a performance period. Likewise with software that may crash. With functionality server which provides services to the client, the server is required to have level of availability. A high this enables the engine server to experience downtime. Server machine must also be turned off for maintenance purposes. The purpose of this study is build Clustering Server to work together as a single system which over the virtual environment. This is a solution to overcome these problems. In this study researcher use a server virtualization proxmox, FreeNAS is a NAS server and DRBD to support high availability of services in the sphere of HA, data synchronization in a High Availability to perform mirroring another system machine. With the implementation of the method of HA and synchronization DRBD and NFS (Network File System) on a system cluster obtained results average migration time on node1 towards node2 reach 9.7(s), 3.7(s) for node2 towards node3, and 3(s) on node3 towards node1. Also obtained downtime less amounting 0.58 ms on node1, on node2 0.02 ms, and 0.02 ms on node3.
Determining Large Scale Healthcare Projects by Resource Attribution

Software development activity deals with the development of the healthcare software by using given resources. The allocation of the resources needs to be consistent with the scale of the project for which the resources are being allocated. The allocation of resources depends on the scale of healthcare projects. As far as resource planning for healthcare projects is concerned, healthcare projects are similar to software development in other areas. In this research, the effort is made to quantify the scale of healthcare projects. The scale can be small, medium, or large. Each scale has a different set of attributes associated with it. The quantification of attributes can further be translated to the actual number of resources to be allocated in terms of healthcare projects.
ROBOT DETEKSI WARNA MENGGUNAKAN WEBCAME BERBASIS MIKROCONTROLLER

The development of technology of computer vision and image processing is currently growing very rapidly. This development is supported by advances in microprocessor technology and microelectronic developments such as WEB Camera and Digital Camera. Various applications of computer vision and image processing have been developed at this time, for example in the security system, the world of robotics, and so forth. Image processing is one kind of technology to solve the problem of image processing. In the image processing existing image is processed such that the image is easier to process. With the Webcam is expected make the object image reading system is more practical. The system uses webcams and mechanical drive which is connected to the microcontroller, so the relationship with the motor drive camera can be controlled easily and centrally in AVR AT Mega 8535 microcontroller.
Recensión

Recensión del libro: Amor, M. I., Serrano, R., y Pérez, E. (coords.). (2017). La educación bilingüe desde una visión integrada e integradora. Madrid: Síntesis. 223 pp. ISBN: 978-84-9171-095-0
Loops, Input, and char

In this chapter, we'll look at repeated actions, input, and things to do with the character type.