Reviewerly/exHarmony huggingface dataset:
hQChain_Leveraging towards Blockchain and Queueing Model for Secure Smart Connected Health

Blockchain facilitates a broad spectrum of applications such as transaction of cryptocurrency, catering to financial services, designing and constructing smart cities and so on. It has astounding benefits including accountability, consistency and decentralization. Smart healthcare can be exemplified as utilizing propitious electronic technology safeguarded with blockchain for superior diagnosis of the disorders, improvised and cost-effective treatment of the patients, and enhanced quality of lives. Since, blockchain in smart healthcare architecture hosts substantial amount of patient data queueing models play a pivotal role to efficiently process the data. In this paper, it highlights the concepts of blockchain, then delve into the smart healthcare architecture and then deal with the several queueing models that already exist. It proposes the model i.e. hQChain which is inculcating M1,b/Mb/1 queueing model into blockchain based smart healthcare architecture. It offers a queuing mathematical and analytical model to analyze and study the performance measurement of hQChain model.
Correction to: Exploration Methodology Using Morphology and Alloy Composition of Alluvial Gold: a Case Study from Quaternary Deposits of the Nowshera District, Khyber Pakhtunkhwa, Pakistan

In the original article the name of author Muhammad Farhan was misspelled.
Effective utilisation of cloud data centre and allocating user demands to virtual machines using LMRO algorithm

Cloud computing is a recent trend for modifying the computing technique strongly. The cloud storage assets will be recurrently accessed. The method works based on a black box method that has difficulty to correlate acquired data for internal resource management techniques. The simulation is not permitted to conduct comparative analysis due to huge amount of features required. The Load Maintenance and Resource Optimisation (LMRO) algorithm proposes utilisation of cloud data centres and allocates user demands to Virtual Machines (VMs). The load balancer keeps track of cloudlets processed by every virtual machine and tries to balance the active load. The method has a main data centre controller and load balancers to collect and analyse the information. Based on experimental evaluation, proposed LMRO techniques reduces 0.065 seconds Task Request Time (TRT), 0.20 seconds Data centre Processing Time (DPT), 0.0125 $ Virtual Machine Cost (VMC) and improves 19.25% Throughput (TRP) as compared to the conventional techniques.
The Socio-Psychological Variables in the Meaning of Self-Consciousness and Movement Satisfaction of Physical Education and Sport Sciences Students

This research aims at determine socio-psychological variables, self-consciousness and movement satisfaction of Physical Education and Sport Sciences students.Then, identify the relationship among the socio-psychological variable, self-consciousness and movement satisfaction of Physical Education and Sport Sciences students and predicting the socio-psychological variables in the meaning of self-consciousness and movement satisfaction of Physical Education and Sport Sciences students.In order to achieve the aims of the research, the researchers used the descriptive method by using the surveying method to recognize the variables of the research, the relationships between them and the predictions studies in order to find out how much self-consciousness and movement satisfaction contribute to the psychosocial variable.The community of the research made of Physical Education and Sport Sciences students/ University of Babylon / Fourth grade-morning classes, they were (140) students, the sample of the research made up of ( 15) students in order to represent the research sample by (11%), the researchers distributed the questionnaires for the research variables to the sample of the research, after analyzing and discussing the results they found out the following:1. Physical Education and Sport Sciences students enjoy high degrees in movement satisfaction, selfconsciousness and the socio-psychological variables. 2.The increasing of socio-psychological variables degrees has a relationship with the increasing of degrees in movement satisfaction, self-consciousness.3. There is an ability of predicting the psychosocial variables, depending on the reality of movement satisfaction, self-consciousness.
A novel multi-purpose watermarking scheme using multiple watermarks

Most of the existing digital watermarking schemes mainly target a single or a few required objectives. The novelty of the proposed technique is to meet the four main objectives of the digital watermarking namely copyright protection, data authentication, usage monitoring, and user authentication. This scheme uses multiple watermarks for meeting these goals using discrete wavelet transform (DWT) and singular value decomposition (SVD) transforms. This technique achieves high peak signal-to-noise ratio (PSNR) and high robustness against average filtering, median filtering, salt and pepper noise, gamma correction, and contrast enhancement attacks. The experimental results show that the proposed method is effective in achieving four primary goals of watermarking. The validation of the proposed technique is tested using the images from BOWS and SIPI datasets.
Data mining misnomer nomenclature: myth or myopic based on its evolutional and trend analysis

Data mining (DM) has tremendous advantages for analysing largescale data for different fields. However, it has also a remarkable naming or nomenclature problem. It lacks a standard definition, which needs to be consistent for researchers regardless of their research capability. Because of its loose definition, it means an exploration of massive data as different things to a different audience. If so, is it a myth or myopic nomenclature of DM misnomer? Therefore, in this study, we investigated the naming seductiveness, which gives a novel idea on how and why researchers need to be concerned of their new findings or artefacts' proper naming. What motivated the authors to undertake a deep investigation of the unleashed power of a sedulous naming to gain a clear insight and knowing the advantages of proper and standard naming for the final annotations is an interesting issue. The approach proofed by empirical analysis as the DM trends for future prospects.
Smart Universities: Assistive Technologies for Students with Hearing Impairments

Smart universities and smart learning environments can benefit regular students and special students, i.e. students with various types of disabilities including physical, visual, hearing, speech, cognitive and other types of impairments. This paper presents the outcomes of an ongoing research project aimed at systematic identification, analysis, and testing of available open source and commercial software systems that could significantly benefit college students with hearing impairments in highly technological learning environments—smart universities. We analyzed various assistive technologies available for students with hearing impairments, including Dragon, Windows Speech Recognition, Automatic captions in Google Slides, CADET, MovieCaptioner, Dragon Naturally Speaking, Dragon Dictate, Sennheiser MobileConnect, SoundAMP R, Office 365 Dictate, Apple/Mac Voice Recognition, Cochlear implants, C-Print, ViaVoice, Picture Boards, Digitized Speech AAC Devices, Infrared, Inductive Loop Technology, Dragon Dictation App, and other systems. Based on a careful analysis of open source and commercially available products for students with hearing impairments we identified the top software systems that we recommend for implementation and active use in smart universities.
GUI Based Text Summarizing of Social Response

Text Summarization is one of those utilizations of Natural Language Processing (NLP) which will undoubtedly hugy affect our lives. For the most part, Text outline can comprehensively be partitioned into two classifications, Extractive Summarization and Abstractive Summarization and the execution of seq2seq model for rundown of literary information utilizing of tensor stream/keras and showed on amazon or social reaction surveys, issues and news stories. Content rundown is a subdomain of Natural Language Processing that manages removing synopses from tremendous lumps of writings. There are two fundamental sorts of methods utilized for content rundown: NLP-based procedures and profound learning based strategies. Along these lines, our point is to look at spacy, gensim and nltk synopsis system by the info prerequisites. It will see a basic NLP-based system for content rundown. Or maybe it will basically utilize Python's NLTK library for content abridging.
Digi Locker –Indian Digital Locker, How much the youth is actually using it?

Information and Communication Tools (ICT) are a prerequisite these days for ensuring better governance and administration. It not only improves the quality of administration but also facilitates procedures by making it more efficient and user-friendly. Government of India (GOI) has proposed many schemes under the Digital India umbrella; and DigiLocker is one of the flagship schemes initiated to bring a total digital change in the life of citizens of India especially the young citizens who are the future of India. The scheme has an inherent potential to give an opportunity to a large section of population with a paradigm shift for ushering in e-governance. DigiLocker, the Indian Digital Locker, allows an individual to save online and digitally share the documents issued by any government department, educational institute, transport department and other agencies. This research paper empirically calculates if the usage of DigiLocker is dependent on Gender (Male/Female), school background (Private/Government), area in which their college is, type of course (Undergraduate/Professional/Engineering) they are pursuing, year in which they studying (I/ II/ III/ IV year) of the course they are pursuing. The paper further analyzes the documents undergraduate college and engineering students maintain in their DigiLocker, whether DigiLocker documents are accepted in various undergraduate Institutes, if the students find DigiLocker secure or not, and the ease of use of digilocker. And finally, a few suggestions are made to make DigiLocker more usable among the young students that would have a marked change in digitalization scenario of India.
Korean USB fingerprint scanner scores world's first

The Goldengate fingerprint authentication scanner from South Korea-based eWBM has become the world's first device to achieve the FIDO2 Level 2 authenticator security certification standard.
Quality Improvements of Camera Captured Pictures using Blind and Non-blind Deconvolution Algorithms

Camera captured image is a set of three-dimensional picture frame. This picture frame is a set of different characteristics and parameters. Captured picture suffers from image blurring parameters. These blurring parameters are created by camera misfocus, motion, atmospheric causes, camera sensor noise etc. Thus, captured picture is represents the blurry image format due to lot of interferences occurs in the surrounding background and picture captured device. Hence, some information is corrupted i.e. degradation occurs in the camera captured picture. Therefore, it needs to reconstruct the original picture using image restoration process. Restoration operation includes different image deblurring algorithms such as Non-blind deconvolution and Blind deconvolution algorithms. Non-blind deconvolution algorithms are more effective when blurring parameters of captured picture is known but Blind deconvolution algorithm recover the blurry image without prior knowledge about blurring parameters.
A Solution for Line Segmentation Problems in Sindhi Character Recognition System

The Sindhi language uses extended and modified set of the Arabic and Persian alphabets. It is the largest extension of the Arabic alphabet. Thus, Arabic or any other Arabic script based language character recognition system cannot recognize all characters of Sindhi. From character recognition point of view, Sindhi is a tough script. Sindhi’s cursive, context-sensitive characteristics, a large set of characters, highly similar shapes of the basic character, font-type variations, and size variations create high challenges for Sindhi character recognition research. In addition, line segmentation is a hard task as we have non-uniformity in the line heights. In this paper, we present an algorithm for segmenting the Sindhi text image into lines. The proposed algorithm solves the over-segmentation and under-segmentation problems in the line segmentation for Sindhi documents. The algorithm is tested on 100 text images of different Sindhi books and it has successfully segmented 99.95% lines correctly.
A Flow-Guided Anomaly Detection Method For Substation Equipment in Changing Scenarios

The anomaly detection for substation equipment is of great significance to maintain the safe operation of substations. With the development of deep learning, many anomaly detection methods based on deep convolutional neural networks (CNN) have been proposed. However, the challenge lies in the diversity of the environment and the variety of anomaly types in the substation. This paper proposes a Flow- Guided Anomaly Detection Method, which contains a data augmentation module and a flow-guided feature fusion module. The data augmentation module utilizes CycleGAN to transfer the style of the images to adapt to changing scenarios, such as different illumination and season conditions. The flow-guided feature fusion module extracts the optical flow between the test image and the template image by a pre-trained FlowNet, which represents the change information between the image pair and is universal for different anomaly types. Then the appearance information and change information of the image are aggregated to obtain the fused feature, which contains more semantic information. Finally, the fused feature is utilized to accurately detect a wider range of abnormal types. Experiments show that our proposed method has superior performance in anomaly detection for substation equipment and is more robust to changing scenarios.
Trend Micro: Shifts in Underground Markets

Malicious hacking and cybercrime have always been a more sociable activity than most people imagine. The popular image of a hoody-wearing teenager hunched alone over a keyboard in a darkened bedroom is a dangerously misleading cliché. Cybercrime is big business, often highly organised and revolves around communities.
Prelims

Citation (2020), "Prelims", Pantano, E. (Ed.) Retail Futures, Emerald Publishing Limited, Bingley, pp. i-xvii. https://doi.org/10.1108/978-1-83867-663-620201002
Camera tracking

This is an examination of two camera tracking systems: Halide that uses specific target locators and Mo-Sys that uses random retroreflective markers. We outline the concepts and principles involving setting up camera tracking systems to relate the precise position of the live-action camera to the stage space so that the data can be transferred accurately to the camera’s virtual twin in the Unreal® Game Engine. Sensor placement and lens calibration are also described. We end with the importance of real lens calibration and how that process is done.
Asynchronous JavaScript

Now that we understand Node.js from the last chapter, it’s time to get into some core programming concepts of the language that changed it all – JavaScript. JavaScript is deceptive in that its lightweight structure will make you feel that you're indeed done with the whole language, because you have an app running and returning a response. If you dive in deeper – which is always a good thing in programming – JavaScript can offer a whole new world, where thorough concepts can make or break an app and its scalability. Let's walk you through. We'll just be explaining the most difficult parts of JavaScript pertaining to Node.js – for the most commonly understood sections, we'll leave a trail of further reading and online recommendations.
Propositional and Predicate Logic

This chapter provides an introduction to propositional and predicate logic. Propositional logicPropositional logic may be used to encode simple arguments that are expressed in natural language, and to determine their validity. The nature of mathematical proof is discussed, and we present proof by truth tables, semantic tableaux and natural deduction. Predicate logicPredicate logic allows complex facts about the world to be represented, and new facts may be determined via deductive reasoning. Predicate calculus includes predicates, variables and quantifiers, and a predicate is a characteristic or property that the subject of a statement can have.
Radio Broadcast and Indigenous Language Development in Nigeria: Contributions of the Radio Service of BRTV Maiduguri Toward the Promotion of Kanuri Language

Nigerian indigenous languages are facing challenges due to many factors including the ever-present long-term effects of colonialism and the use of English as the official language of communication and education, as well as urbanization, internal migration, and the mass media (both traditional and new).The preservation of indigenous languages has received global attention over the decades by notable international non-governmental organizations such as UNESCO and The British Council.In fact, the preservation of traditional cultural heritage, language inclusive, is one of the cardinal functions of mass media.Kanuri language, which is the main spoken language in Borno State in the northeast of Nigeria, is one of the several Nigerian indigenous languages facing challenges.Khaddamari, the headquarters of Jere Local Government Area, is a town very close to Maiduguri, a cosmopolitan city with population of about 1 million.Being so close to a large urban center it is known whether Kanuri language faces similar challenges it faces in the urban center, and if it does, what role does the media broadcasting from the city play toward promoting the language?This study examined the impacts of the Kanuri broadcast service of BRTV Radio, Maiduguri in the promotion and preservation of Kanuri language among the people living in Khaddamari town.Using the snowball sampling technique, 14 participants were recruited for indepth interviews from BRTV radio and Khaddamari town.The study found that BRTV's Kanuri broadcasts' contribution toward the promotion of Kanuri language at Khaddamari is progressively diminishing compared to how much it could have done so three decades ago and that some of the listeners were dissatisfied with several BRTV's Kanuri programs/news broadcasts.The study concluded that BRTV radio's contribution toward the promotion of Kanuri language in Khaddamari town is crucial but was minimal, often hampered by the dwindling broadcast power and reach of BRTV radio signals.Therefore, BRTV should address its infrastructural deficits and formulate articulate broadcast language policy.
Making Connections: Teaming Up to Connect Users, Developers, and Usability Experts

The company, which specializes in client and server products for Internet file transfer, network monitoring, and messaging, has established a strong presence in the small and medium businesses market. Members from The Usability Center and Ipswitch’s development groups formed a team. The Extended University, which administers The Usability Center, took charge of recruiting to match the specific user profile for each group. The usability testing brought forth much more than the broad comments RandD had heard about the dated, too technical interface. As the users worked through tasks in the test scenarios, it became clear to the observers that there were issues with mental model, navigation and system feedback, and work flow. While mental model issues were a sticking point for novice users, advanced users experienced problems with navigation and feedback. The prototype used multiple windows to show the directory/file lists for two or more FTP connections, in conformance with Microsoft’s Multiple Document Interface.
An Effective Clustering Approach for Text Summarization

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.
Simulation and analysis of user-side transaction technology for energy blockchain considering multi-chain structure

Blockchain advantages, such as decentralised tamper-proof and smart contracts, are naturally suitable for the trading needs of energy internet, dealing with the problems of low efficiency, waste of resources, privacy leakage, etc. In this paper, an energy trading method is proposed based on blockchain expansion technology. The lightning network is used to expand the blockchain trading process, and divides the transaction into on-chain trading and off-chain trading; and the chain structure of the energy blockchain is expanded using a multi-chain architecture, and the blockchain is divided into an account blockchain and a transaction blockchain. A case study is carried out, in this research work, in combination with multiple energy trading scenarios in the energy local area network (LAN). The results show that the proposed method possesses a significant performance of improving the efficiency of energy trading and reducing the complexity of trading information.
Inversion of Travel Time Data

This third edition provides a concise yet approachable introduction to seismic theory, designed as a first course for graduate students or advanced undergraduate students. It clearly explains the fundamental concepts, emphasizing intuitive understanding over lengthy derivations, and outlines the different types of seismic waves and how they can be used to resolve Earth structure and understand earthquakes. New material and updates have been added throughout, including ambient noise methods, shear-wave splitting, back-projection, migration and velocity analysis in reflection seismology, earthquake rupture directivity, and fault weakening mechanisms. A wealth of both reworked and new examples, review questions and computer-based exercises in MATLAB®/Python give students the opportunity to apply the techniques they have learned to compute results of interest and to illustrate Earth's seismic properties. More advanced sections, which are not needed to understand the other material, are flagged so that instructors or students pressed for time can skip them.
Getting Started as an SSCP

PART I Getting Started as an SSCP Mike Wills, Mike WillsSearch for more papers by this author Book Author(s):Mike Wills, Mike WillsSearch for more papers by this author First published: 29 April 2019 https://doi.org/10.1002/9781119547921.part1 AboutPDFPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShareShare a linkShare onFacebookTwitterLinked InRedditWechat No abstract is available for this article. (ISC)2® SSCP® Systems Security Certified Practitioner Official Study Guide, Second Edition RelatedInformation