Reviewerly/exHarmony huggingface dataset:
Addressing the Challenge of an Efficient Billboard Management in Accra Metropolitan Area

The urban planning of Accra has become very essential to develop the capital city of Ghana. The inability of the local government authority to efficiently managed billboards in the city by easily tracking the locations of installed billboards and effectively segregate the expired mounted billboards from the unexpired ones has become a major challenge. The need for an efficient system to properly manage billboards within Accra Metropolitan Assembly has become very essential. A web base system is developed to efficiently manage all billboards installed within the Accra Metropolitan Assembly in other to segregate the expired billboards from the unexpired ones and to improve revenue collection for the local authority. The Rapid Application Development model is adopted in designing the system using PHP, MySQL database, Bootstrap and JavaScript technologies. The developed system proves to be very efficient in managing billboards at various locations within Accra and the system also facilitates the easy collection of revenue for the metropolitan assembly.
Automated random colour keypad

In early 1970s, automated teller machine came into existence which was placement for cash counters at banks. People could now do transactions 24X7 with ease. But as ATM expanded its reach into human life, crimes related to ATM theft and fraud increased exponentially. There are flaws related to ATM security which is exploited by the criminals. ATM card cloning, card skimming, ATM pin theft are few of the most common crimes related to the ATM. These crimes result in loss of money measured in billions. The newspapers are full of these crime reports and hacks. In this paper, we have proposed an automated random colour keypad by which ATM security can be enhanced; making these ATM attacks and fraud very difficult. This ARC keypad will act as a secure replacement for traditional ATM keypad. Several experimental results of the ARC keypad have been included in this paper which proves that our mechanism enhances ATM pin security and reduces the chances of fraud to a great extent.
Buchbesprechung

BuchbesprechungMarcus FriedrichMarcus FriedrichSearch for more papers by this authorPublished Online:February 04, 2020https://doi.org/10.1024/1010-0652/a000264PDFView Full Text ToolsAdd to favoritesDownload CitationsTrack Citations ShareShare onFacebookTwitterLinkedInReddit SectionsMoreB. Nuss (2018). Base-1 method: A structural-functional approach to word, sentence and discourse readability. Münster: Waxmann. 256 Seiten, €39.90, ISBN 978-3-8309-3871-2. Literatur Flesch, R. (1948). A new readability yardstick. Journal of Applied Psychology, 32, 221 – 233. doi: 10.1037/h0057532 Crossref, Google Scholar Kintsch, W. (1998). Comprehension – A paradigm for cognition. New York, NY: Cambridge University Press. Google Scholar McNamara, D. S., Graesser, A. C., McCarthy, P. M., & Cai, Z. (2014). Automated evaluation of text and discourse with Coh-Metrix. New York, NY: Cambridge University Press. Crossref, Google ScholarFiguresReferencesRelatedDetails Volume 34Issue 1Februar 2020ISSN: 1010-0652eISSN: 1664-2910 Published onlineFebruar 4, 2020 InformationZeitschrift für Pädagogische Psychologie (2020), 34, pp. 61-63 https://doi.org/10.1024/1010-0652/a000264.© 2020Hogrefe AGPDF download
Intelligent Offer Model for Game Online Item with Principle Hybrid Filtering Together with Categorical Data Technique

This paper focus to Intelligent offer pattern, The commonly used raw material, wearing: costumes, earrings, gloves, gloves, boots, shoes, costumes, hair, necklace, two hands, costume masks, hats, costumes, weapons, clothes, watches, rings, plaques and feature character. Robot and various tools are built to response of players. One of the expectations of most players is items selection which is selected from the User Interface. It is obtrusive noise of view screen while players select a few of the items. Object Items of games offer to each player overlap on the screen. It helps reduce event to switch the screen to maximize revenue from the purchase, sale, and exchange object items in the online game. we use Double Two dimension Principle Component Analysis for the feature extraction data behavior which is behavior a repeated in each player such as character of clothes, characteristic of choose activity , characteristic of use game items. We built Collaborative group pattern (CGP) and analysis player separate to each corporative group. Adding create offer game items in each corporative group. Each player will receive the best offers. The game operator has the opportunity to sell game items online as possible by without interrupting game play. The results of experiment showed that this method can offer a game item which is player want to sequence in the top of the list, and average 11.41 percentages is garbage items which player does not want, by game items which each player need to be in the order of 1-10 of menu
Linear-quadratic control of multiple interceptors

This article develops a systematic approach for stochastic multi-target control based on the integration of the linear-quadratic regulator into multi-target tracking models. Using the assumption that possible targets are independent, follow linear-Gaussian trajectories, and can be described with Gaussians, it is shown that the linear-quadratic regulator can be applied to each target individually which enables them to be controlled with the classical linear-quadratic regulator. The result is demonstrated in a simple multi-target scenario which has the effect of controlling all of the targets to the same state over a given time-frame.
Secured data management using face detection and Video mode

Data security is protecting digital data, from the unwanted actions of unauthorized users, like cyberattack or data breach. Data is no longer said to be secure if it falls into the hands of hackers or those that would misuse it. Data is well secured and guarded within an organization. But, when its employees sell their access specifiers to their competitors, data is no longer protected. This could be avoided by advanced technology. The Identity-based approach is an approach to regulate access to a digital product or service based on the identity of an individual. This allows organizations to grant access to a variety of digital services using the same credentials, ensuring the accurate match between what users are entitled to and what they really receive, while also permitting other access constraints like company, device, location and application type(attributes) In our application, data is uploaded by an encryption format attached with the video mode and it is downloadable by the user only through the unique face detection mode. When a user tries to download the encrypted file, a notification is sent to four admins for better privacy reasons. Only upon acceptance from four of these admins, the file could be downloaded. The admins can authenticate the user using his face captured through face detection. This could be used at any level in an organization but is much efficient when no of users trying to access a file is limited. This provides high security and rejects unauthorized users. Breach of data leads to a decline in profits and incline in losses. This could be reduced if the data security could be ensured using face detection of a person who is trying to access the data.
MEDIA

Africa Research Bulletin: Political, Social and Cultural SeriesVolume 57, Issue 4 p. 22712A-22713C Social and Cultural MEDIA First published: 29 May 2020 https://doi.org/10.1111/j.1467-825X.2020.09449.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, Issue4May 2020Pages 22712A-22713C RelatedInformation
Implementing Aggregate-Key for Sharing Data in Cloud Environment using Cryptographic Encryption

Data Information sharing is a fundamental comfort in scattered limit. In this paper, we prompt the best way to deal with safely, advantageously, and adaptably share information with others in appropriated accumulating. We portray new open key cryptosystems that produce relentless size figure messages to such an extent, that fruitful task of translating rights for any strategy of ciphertexts is conceivable. Everything considered, the mystery key holder can discharge an enduring size supreme key for flexible decisions of ciphertext set in dispersed accumulating, at any rate the other blended records outside the set stay classified..Key Words - Short Text Classification, Content based isolating, Policy based personalization, Online Social Networks sharing.
An insight into cardiac data

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Quantum Teleportation

Suppose that two physical laboratories, denoted by A and B, are conducting research in the field of quantum computing. There is an important result that shows the following: it is possible to transfer from lab A to lab B an arbitrary qubit \(\left| {\psi }\right\rangle =u\left| {0}\right\rangle +v\left| {1}\right\rangle \), where \(u,v\in \mathbb {C}\), using only a classical communication channel and a preset shared EPR pair. Now we show how to realize it. The initial state of the quantum system is as follows: $$(u\left| {0}\right\rangle +v\left| {1}\right\rangle )(\left| {00}\right\rangle +\left| {11}\right\rangle )/\sqrt{2}.$$To be specific, we will assume that the first qubit in the EPR pair is in lab A, the second one is in lab B. Note that the coefficients u and v are unknown to every one of the researchers.
Flooding

Africa Research Bulletin: Economic, Financial and Technical SeriesVolume 56, Issue 7 p. 22643A-22643B Policy and Practice Flooding First published: 04 September 2019 https://doi.org/10.1111/j.1467-6346.2019.09041.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. Volume56, Issue7September 2019Pages 22643A-22643B RelatedInformation
LIBERIA: Protesters Rally over Economy, Graft

Africa Research Bulletin: Economic, Financial and Technical SeriesVolume 56, Issue 7 p. 22644B-22644C Policy and Practice LIBERIA: Protesters Rally over Economy, Graft First published: 04 September 2019 https://doi.org/10.1111/j.1467-6346.2019.09043.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. Volume56, Issue7September 2019Pages 22644B-22644C RelatedInformation
A Systematic Method to the Formation of Career Orientation of Adolescents in Terms of Additional Education

The problem of the career orientation for adolescents in the context of their further education is caused by a number of circumstances. First of all, amid the demand by the state and society for creative professions, the younger generation has a superficial and disorienting idea of the nature and specificity of professional activity. In addition, the professional sphere of activity of an artist, a designer, a decorator is being improved and complicated, requiring a specialist to possess high information, computer, and art technologies. A purposeful acquaintance with future professions in the field of visual and spatial arts, the professional formation of such a specialist, starting from age of adolescence, is facilitated by a modern system of additional education with high potential. Proceeding from this, the indicated problem requires science to develop its theoretical and methodological foundations, a substantial technological base and appeal to innovative, developing, personality-oriented ways of organizing the educational process of an integrated type. Within the framework of this study, we dwell on the methodological foundations of the formation of career orientation and consider in more detail the systematic approach as fundamental. As a result, we studied the concept of “career orientation”, revealed the essence of the career orientation formation process in adolescents, which is carried out in close connection with other mental processes and personality traits. It was proved during the experiment that the use of a systematic approach and relevant principles contributes to more effective formation of career orientation for adolescents
On a Method to Detect the Dynamic Hotspot

Even if there is a risk of two ships colliding, this risk can usually be averted using avoidance maneuvers.However, if this avoidance maneuver is restricted, for example, because it affects the course of a third ship, then it is difficult to reduce this risk.We call the point where such a situation occurs the dynamic hotspot.In this paper, we propose a method to detect this dynamic hotspot in the near future, from current AIS data.We also discuss the nature of dynamic hotspots calculated from historical AIS data in two respects.First, in respect of spatiotemporal statistics using the Moran scatter plot.The second is more practical; we discuss the relation to the spatial distribution of a Multiple Encounter, which is implied to have a relation to the above situation.
Frontiers of seismology

Abstract Anton Ziolkowski and fellow organizers look back at the British Seismology Meeting 2019, which discussed events of all scales as well as new hardware and software techniques.
APLIKASI PROPAS (PROGRAM PENGARSIPAN SURAT) PADA KANTOR DESA CIHAMBULU-SUBANG

The process of archiving mails at the Cihambulu Village office the writing is still conventional. there are some deficiency including the process of writing that is not neat, archiving still using the ledger. Therefore required a program that can solving the problem, so the problems that occur at this Cihambulu Village office can be resolved. The concept of designing this system refers to the activities of data processing incoming mail, data processing outgoing mail, disposition making, to the manufacture of incoming mail reports and outgoing mail. some stages in the development or design of this program are software requirements analysis, program design, program code generation, program testing. The making this program using JAVA programming language, MySQL as database and windows 7 as operating system. Research methods used in the design of this system is the method of interviewing, observation, and literature study. While the purpose of designing this system is to produce a mail archiving program so that it can assist employees in data processing incoming mail, data processing outgoing mail, disposition making, making reports incoming mails and outgoing mail. Keywords: Program Design, Mail archiving Program
Introduction

This chapter gives an overview of the heterogeneous problem in facial analysis as well as its synthesis solution, followed by a brief outline of the rest chapters. We start from the background and challenges in research of heterogeneous facial analysis. Then the heterogeneous facial synthesis is emphasized as one of the promising and effective solutions. The instantiated tasks to be elaborated in the following chapters are finally introduced in a compact manner.
Medical image protection using diffusion, substitution and reversible data hiding based on prediction

Owing to the expanding benefit for tele-health amenities have developed awareness in the practice of medicinal image protection expertise. It mostly condensed with patient report that are cautious and must only offered to allowable personality. So the medicinal image safety becomes a very great complexity when victim data are fetched through the open system. At first, the secret key of 128 bit size is generated by image histogram and the medical image is encrypted by diffusion and substitution process. Then the secret key is embedded within the cipher image by the process of steganography to obtain key embedded cipher image. At last, the patient details are embedded into the key embedded cipher image and later on, the patient details and the key is extracted. Finally, using the extracted key, decryption operation is performed to get the original image.
Covid-19 compelled RASE Model curriculum transaction for teacher education -A study

The unprecedented shut down of educational institutions owing to the Covid pandemic had prompted many institutions to shift to an Online mode of instruction.The investigator, a teacher educator by profession found the abrupt shift from face-to-face instruction to an online only pedagogy for teacher education a major challenge.This necessitated the exploration of appropriate instructional strategies to substitute the existing time-tested pedagogical practices followed in teacher training colleges.The target audience specific data collected through surveys and interviews revealed that the needs, resources available and internet connectivity of main stake holders namely teachers and learners vary in several ways.This posed several challenges and the investigator found a solution in the RASE Model which is increasingly being perceived as a practical, evidence based design model with applications of technology to improve student learning outcomes and student satisfaction (Churchill, King, & Fox, 2013).When a batch of English optional teacher trainees of the Bachelor of Education (BEd) programme, was assigned to the investigator-cum-teacher educator, the RASE model which basically addresses Resources, Activity, Support and Evaluation was utilized for curriculum transaction.This paper lists down the strategy employed to transact the BEd curriculum using the RASE model.It is hoped that the report of the study will help colleges of teacher education and English language teacher educators to gain a sense of direction to commence delivery of instruction which has already been delayed owing to the pandemic.
Lattice Gestalten

A separate operation is constructed for the aggregation of lattices of Gestalten. The lattice operation aggregates comparably many Gestalten in one step into the construction at much larger scale. This requires also search strategies that differ from the ones presented for friezes or rotational mandalas. As an example the perceptual grouping of permanent sactterers in synthetic aperture radar images is presented. Like in some other chapters of this book, the last section treats the operation under projective distortions.
FLPD-GANS: Fake License Plate Discrimination GANS for Generalized Zero-Shot Learning

Most current generalized zero-shot learning (GZSL) methods need sufficient labels and other auxiliary information to obtain great results.In this paper, we propose Fake License Plate Discrimination GANs (FLPD-GANs) and introduce the first publicly available New Energy License Plate (NELP) image dataset named CCPONECD.Applied in the license plate (LP) image binary classification task, FLPD-GANs only need a binary label for training and can address the strong bias problem in GZSL tasks.CCPONECD contains nearly 7k unique new energy vehicles images and provides detailed LP vertex location annotations.In our work, the seen class is only real NELP image and the unseen class is manufactured fake NELP image.Trained with merely real NELP images, our FLPD-GANs can greatly discriminate between real and fake NELP images.Extensive experiments demonstrate that our FLPD-GANs model has 97.7% accuracy and performs well in NELP image discrimination for GZSL task.
Performance of VWM algorithm in the presence of impulse noise and resizing

The first part of this paper describes visible watermarking (VWM) algorithm for inserting and removing visible watermark in the image. The second part of this paper describes an experiment in which the image is watermarked with the VWM algorithm, impulse noise is added, and the image quality is improved with the MDB algorithm for filtering. Watermark is removed from noised and filtered image. Afterwards, an experiment is described in which resizing of the noised watermarked image is performed. Watermark is removed from this image. Finally, a comparative analysis of the results is performed in order to evaluate the efficiency of the applied algorithms. The comparison was performed on the basis of MSE and similarity. The obtained results are analysed in detail and presented in a tabular and graphical manner.
Supervised Learning Techniques for Identifying Credit Fraud

International Journal of Computer Sciences and Engineering (A UGC Approved and indexed with DOI, ICI and Approved, DPI Digital Library) is one of the leading and growing open access, peer-reviewed, monthly, and scientific research journal for scientists, engineers, research scholars, and academicians, which gains a foothold in Asia and opens to the world, aims to publish original, theoretical and practical advances in Computer Science,Information Technology, Engineering (Software, Mechanical, Civil, Electronics & Electrical), and all interdisciplinary streams of Computing Sciences. It intends to disseminate original, scientific, theoretical or applied research in the field of Computer Sciences and allied fields. It provides a platform for publishing results and research with a strong empirical component. It aims to bridge the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research.
AGIMM tracking filter algorithm based on manoeuvring feature correction

Considering the fast speed and strong manoeuvring of small offshore targets, traditional filtering algorithms cannot effectively track the filtering due to the unstable grid centre of weak manoeuvring target and slow tracking convergence of strong manoeuvring target. To overcome this problem, an adaptive grid interaction multiple model (AGIMM) tracking filter algorithm based on manoeuvring feature correction was developed. The modified algorithm detects the target manoeuvring according to the residual information of the filter, while the model structure can be adjusted under different manoeuvring conditions. Monte Carlo simulation shows that the AGIMM algorithm based on manoeuvring feature correction can improve the calculation accuracy by 35% and reduce the calculation time by 18%.
Learning Algorithms

In this section, we introduce a variety of supervised and unsupervised machine learning algorithms. The algorithms presented here provide a foundation for understanding other machine learning methods (e.g., linear and logistic regression), and others like Random Forests and Extreme Stochastic Gradient Boosting (XGBoost) are widely used in applied machine learning.