Reviewerly/exHarmony huggingface dataset:
Modular Microservice based GPU Utilization Manager with Gunicorn

:Graphics processing unit (GPU) is a computer programmable chip that could perform rapid mathematical operations that can be accelerated with massive parallelism. In the early days, central processing unit (CPU) was responsible for all computations irrespective of whether it is feasible for parallel computation. However, in recent years GPUs are increasingly used for massively parallel computing applications, such as training Deep Neural Networks. GPU’s performance monitoring plays a key role in this new era since GPUs serve an inevitable role in increasing the speed of analysis of the developed system. GPU administration comes in picture to efficiently utilize the GPU when we deal with multiple workloads to run on the same hardware. In this study, various GPUparameters are monitored and help to keep them in safe levels and also to keep the improved performance of the system. This study,
Method E: In-line leak detection techniques

Ageing infrastructure and declining water resources are major concerns with a growing global population. Controlling water loss has therefore become a priority for water utilities around the world. In order to improve their efficiencies, water utilities need to apply good practice in leak detection.To deal with losses in an effective manner, particularly from networks in water-scarce areas, water utility managers are increasingly turning to technology to reduce costs, increase efficiency and improve reliability. Companies that continuously invest in technology and innovation should see a positive return on investment in terms of improving daily operations and collection and analysis of network data for decisionmaking and forward planning.Methodologies for achieving the best results to reduce water losses are continuously evolving. Water utilities and equipment manufacturers are increasingly working together to stretch the boundaries of current knowledge. This is leading to some innovative technologies and new product development to complement current methodologies. This book reflects the situation at the time of publication.This second edition of the book updates practices and technologies that have been introduced or further developed in recent years in leakage detection. It outlines recent advancements in technology used, such as satellite aided methods in leak location, pipeline inspection with thermal diagnostics, inspection of pipelines by air using infrared or thermal imaging cameras, drones for leak detection activities and even sniffer dogs. In addition, it is enriched with new case studies that provide useful examples of practical applications of several leak detection practices and technologies.ISBN: 9781789060843 (paperback)ISBN: 9781789060850 (eBook)ISBN: 9781789060867 (ePub)
Design Strategy

Design is a semiotic system, a technology, and a commercial practice that shapes to a great extent the ways consumers sense, experience, and understand objects, events, spaces, and processes in the marketplace. Some writers have used the term “semiotic engineering” to describe the design process because it involves the deliberate actions of molding and organizing phenomena to influence human behavior. Although design performs an esthetic function to create beautiful, pleasing things and environments, it differs from fine art in several ways. Fine art is valued for its unique, one-of-a-kind creativity, its ability to transcend the mundane, functional aspect of things, and the force of its impact on the hearts and imaginations of the individual spectator. Design, on the other hand, weaves the esthetic priorities of art into functional forms that help consumers build stuff, organize processes, and navigate the world of things and information. This chapter walks the reader through basic semiotic principles and methods for developing design strategy and planning for service sites and packaging. Laura Santamaria contributes a case study on design semiotics for innovation.
Evolving a New Revolutionary Learning Environment Based on Blockchain Technology

Education environment is made out of numerous partners, both from open and private areas, for example, administrative sheets, government, and entrance advisory boards, testing organizations, authorizing, teachers and understudies who comprise the foundations. Instruction, the way toward encouraging learning, the procurement of information, ability, qualities, convictions, and practices which is empowered by the Blockchain innovation has picked up the consideration of specialists everywhere. Blockchain innovation has been applied chiefly in the banking, retail, enactment, exchange and business, flagging the fourth modern upset. Square chain is the rising innovation which pulled in each field of work and having a developing stage because of the highlights of decentralization, detectability, changelessness, and money properties. Like other segment, the blockchain innovation has additionally begun to step into the instruction field and had made prominent imprints, which will fill in as a grapple for what's to come. This examination follows the impressions of the blockchain in the instruction innovation and furthermore researches the headways in the training possibilities that would be advantageous. The orderly audit falls fundamentally under the clear cut clarification dependent on the different utilizations of the square chain in training, the positive and negative effects following the reception of blockchain innovation in instruction framework and the eventual fate of learning driven by the square chain innovation. This investigation examines in detail the ramifications of the blockchain dependent on the discoveries. The audit displays the present condition of information and framework concerning the blockchain based application in instruction framework.
Secure Data Transmission using Goldbach Codes and RSA Algorithm

Information transmitted through the insecure network need to be secured by using different methods. There are several cryptographic methods to ensure secure data transmission. The compression algorithms are used to compress the information, then on the compressed information encryption algorithms can be applied so as to reduce the time of encryption. There are several data compression algorithms available to compress the data. Our proposed scheme is a combination of Goldbach Code Algorithm for data compression, and the RSA algorithm for data encryption.
Index/Impressum: Vakuum in Forschung und Praxis 3/2020

Vakuum in Forschung und PraxisVolume 32, Issue 3 p. 51-51 Magazin Index/Impressum: Vakuum in Forschung und Praxis 3/2020 First published: 18 June 2020 https://doi.org/10.1002/vipr.202070311AboutPDF 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. Volume32, Issue3Special Issue: SputtertechnikJune/July 2020Pages 51-51 RelatedInformation
Collaborative Dialogue Information Model

This paper concerns a task-oriented dialogue information management. Below we cover its main features – knowledge combining and intention detection. The approach is demonstrated in a step by step manner on one of sessions with a spoken timetable application.
A Study on the New Compilation of College English Learning Materials Based on Big Data in China

This paper finds that there are six problems in the compilation. Because of the complexity of teaching and learning materials and the dynamic progress of language learning, the nature of English teaching and learning materials is bound to turn from a learning tool to learning resources. Thus, this research, from the perspective of Complex Dynamic System Theory, attempts to develop big data-based College English learning materials with digital, individual and multi-dimensional characteristics by three paths: the establishment of big data-based English learning behaviors index system, the development of big data-based College English learning materials and the application of big data-based College English learning materials. This paper will explore a new way of developing China’s College English learning materials and improving and optimising the compilation and development of College English learning materials in China.
Design of Cloud Computing Outpatient Registration Model Through SMS Messages at Hospitals using TOGAF ADM

The queue is one indicator of patient satisfaction at the hospital in addition to the service of getting treatment itself. Uncertainty, when patients will be served, will reduce patient satisfaction. Hospital outpatient poly enrollment services are the most numerous patient queue. Patients who come to the hospital may not necessarily get services directly because they only know the doctor's schedule and practice information after coming to the hospital. There are times when patients have to go home without getting treatment because they did not find the desired service schedule. The Ibnusina Indrapuri Aceh Hospital has a Hospital Management Information System (HMIS) application that is connected to the Health Social Security Administering Agency (Badan Penyelenggara Jaminan Sosial-BPJS) application to receive outpatient poly referral patients. The reception of outpatient registration has been done in a semi-manual way by officers where patients must come directly to the hospital. It takes a long time to input one patient's registration data, if there are many patient visits, the time for data input will be longer, causing long queues. So that registration can be done well and faster, it requires an easy way of registration that can be done by the patient himself from home without having to come directly to the hospital, which is using SMS messaging facilities. Patients will receive a reply message in the form of information on the availability of service schedules and queue numbers, patients do not need to come again to the hospital if the desired service schedule is not available. A registration model design is needed to illustrate the organization's management to be integrated into the HMIS application. The design of this registration model was created using the TOGAF framework. The use of the stages and phases contained in the TOGAF ADM framework shows results that are acceptable to the hospital management to design the architecture of the outpatient poly enrollment system at the hospital at an affordable cost and very feasible to use.
Video Enhancement Techniques Employed Over the Decade for Reliable Communication

Traditional networks are designed to meet the needs of streaming video on the Internet. Relatively high standards of broadband connections and video broadband services make the best effort for certain specific video information and transmission methods to appear at any time to reduce network constraints. Video quality is directly related to the basic ability of the phone to send and receive data from time to time for playback. Record videos from your mobile phone are facing various challenges that have been overcome by a variety of methods. In an extremely robust and unpredictable environment, transversal hardware provides adequate video. Conventional networks are designed to meet the needs of streaming video over the Internet. Relatively high standards of broadband connections and video broadband services make the best effort for certain specific video information and transmission methods to appear at any time to reduce network constraints. Video quality is directly related to the basic ability of the phone to send and receive data from time to time for playback. Record videos from your mobile phone are facing various challenges that have been overcome by a variety of methods. In an extremely robust and unpredictable environment, transversal hardware provides adequate video.
Data Mining Application in Predicting Bank Loan Defaulters

Data mining is the key tools for discoveries of knowledge from large data set. Nowadays, most of the organizations using this technology to maintain their data. This paper focuses on the Bank sector in Risk management specifically, detecting Bank loan defaulters through the data mining application to examine the patterns of different attribute which would contribute for detecting and predicting defaulters thus preventing wrong loans. This process can be done without change the current systems and the data. Then it helps to distinguish borrowers who repay loans promptly from those who don’t and avoid wrong loan allotment. In order to show the results of the study Classification model is implemented in order to find interesting patterns among attributes of customer. A total of 20461 sample data were taken by data base admin randomly from 3 consecutive years from the Bank database to build and test the model. In this research we used Classification model of decision tree and Naïve Bayes in Weka 3.7 tool for experiments. Modeling methodology applied to this paper was CIRSP-DM (Cross Industry Standard for Data Mining), which involves business understanding, data understanding, data preparation, model building, evaluation and deployment. Decision tree classifications with J48 implementation with 8 experiments were performed. Two experiments with different parameters were made for Naïve Bayes. Finally, evaluation and analysis of the models were performed then given a best solution to predict the defaulters.
ON THE POLITICAL USE OF THE REPORTATIVE CONDITIONAL IN ITALIAN NEWSPAPERS

The labels condizionale riportivo (reportative conditional) or condizionale citativo (quotative conditional) are employed to describe certain uses of the conditional mood in Italian, particularly when the conditional marks the non-firsthand nature of a given piece of information.This use of the conditional is particularly frequent in the language of newspapers.However, reportative conditionals may also carry epistemic overtones, and they are used by speakers when they want to stress that they are not committed to the truthfulness of the information reported.Depending on the context, a reportative conditional can be either a purely evidential marker, or an evidential marker with epistemic overtones.Some Italian (trained) speakers exploit this ambiguity as a strategy to play on the two possible interpretations.This strategy is particularly significant in contexts in which the speaker is supposed to be neutral and, as such, must refrain from expressing her/his epistemic stance when recounting events.In this paper, after an analysis of the different sections of newspapers in which reportative conditionals occur, I will discuss one particular use of reportative conditionals in Italian newspapers, i.e. the "political" use of conditionals.To this end, I will carry out a qualitative analysis of some excerpts from newspapers published between the second half of the 19th century and today.In particular, it will be shown that journalists often take advantage of the ambiguities underlying reportative conditionals in Italian, in order to discredit the political position of a person (or group) without overtly questioning it.
Introduction

This chapter introduces and motivates the book. It introduces <italic>monads</italic> as a way to model <italic>enriched meanings</italic> and motivates enriched meanings as a way to avoid generalizing to the worst case in natural language interpretation. It reviews the three goals of the book: 1. to provide background on the theory of enriched meanings and how to model meaning enrichment formally using category theory, in particular monads; 2. to show the usefulness of the theory by providing new compositional analyses of the three phenomena; and 3. to explore the compositional possibilities for combining the three monads used in these analyses. The chapter also discusses the place of this kind of research in cognitive science. It lists some related literature on monads for natural language interpretation. It also introduces the computational tools and exercises.
GozNym cybercrime gang busted by international law enforcement operation

A complex, multinational law enforcement operation has resulted in the disruption of a cybercrime operation said to have stolen $100m from more than 41,000 victims.
Recognition of Hand Gesture for a Paralytic Person Using Convolutional Neural Network

According to the Indian statistics, the stroke rate is higher compared to other countries. It is approximately 1.8 million Indians out of 1.2 billion Indians suffering from stroke every year. As a result of this brain cells get damaged which leads to paralysis. To help the stroke patients out of its researchers have found a solution by creating hand gestures that will help them perform daily functions easily. The gesture made by hand will be the input instead of a mouse or keyboard. The main aim is to read and detect the hand gestures by using high-resolution cameras and process the images using convolution neural networks by the process of edge detection.
Building Large Scale Cloud System for Product Sentiment Analysis using Hybrid Group Search Optimization Based Feature Selection

A very powerful technology that performs complex computing in a massive scale is known as Cloud computing. There has been a massive growth that has been observed in the data scale which may also be big data which is generated by means of cloud computing which is observed. Sentiment Analysis, on the other hand, denotes the opinion extraction of users from the documents used for review. A sentiment classification that makes use of methods of Machine Learning (ML) can face problems in high dimensionality for a feature vector. Thus, the method of feature selection is needed for the elimination of all noisy and irrelevant features from a feature vector for efficiently working the ML algorithms. All chosen features will be sub-optimal owing to a Non-Deterministic Polynomial (NP) hard type of technique that was used. The Group Search Optimization (GSO) based algorithm which was on the basis of a method of feature selection will find some optimal feature subsets through the elimination of all redundant features. For this work, the method of feature selection based on the GSO was applied to the sentiment classification. There was also a method of feature selection which was hybrid and based on the GSO and Local Beam Search (LBS) that has been proposed for a sentiment classification. The methods proposed were evaluated based on the product review dataset of Amazon. The results of the experiment proved that this method of a hybrid feature selection can outperform all other methods of feature selection for a sentiment classification.
Performance Anatomization of Computer Algorithms Based on Iterative and Recursive Methodologies

An algorithm is a clear specification of a sequence of instructions which when followed, provides a solution to a given problem. Writing an algorithm, depends upon various parameters, which leads to strong algorithmic performance, in terms of its computational efficiency and solution quality. This research paper presents the different methodologies of writing algorithms of data structure and also provides their performance analysis with respect to time complexity and space complexity. As we know that, for the same problem, we will have different algorithms, written using different approaches. All approaches of algorithms are important and have been an area of focus for a long time but still the question remains the same “which to use when?”, which is the main reason to perform this research. This research provides a detailed study of how algorithms being written using different approaches work and then compares them on the basis of various parameters such as time complexity and space complexity, to reach the conclusion.
Reviewer Acknowledgements

International Journal of Contemporary Education (IJCE) would like to acknowledge the following reviewers for their assistance with peer review of manuscripts for this issue. Many authors, regardless of whether IJCE publishes their work, appreciate the helpful feedback provided by the reviewers. Their comments and suggestions were of great help to the authors in improving the quality of their papers. Each of the reviewers listed below returned at least one review for this issue.Reviewers for Volume 2, Number 1Alexandra Ingram, University of Tennessee, USAAurora Q. Pestano, University of San Jose Recoletos, PhilippinesBruna Gabriela Augusto Marçal Vieira, Universidade Estadual Paulista, BrazilCarme Pinya, University of Balearic Islands, SpainChan Chang Tik, Monash University Malaysia, MalaysiaDina Radeljas, Mohawk Valley Community College, USADorota Celinska, Roosevelt University, USAFederica Cornali, University of Turin, ItalyFroilan Delute Mobo, Philippine Merchant Marine Academy, PhilippinesGiuseppe Maugeri, Ca' Foscari University, ItalyIonel Bondoc, University of Agricultural Sciences and Veterinary Medicine Iasi, RomaniaIosif Fragkoulis, Hellenic Open University, GreeceJavier Fombona, Univ. Oviedo, SpainMakrina Nina Zafiri, Aristotle University of Thessaloniki, GreeceMatthew Schatt, University of Florida, USAMurat Tezer, Near East University, CyprusNesrin Ozturk, Ege University, TurkeyNilgün Tosun, Trakya University, TurkeyNoelia Navarro Gómez, Universidad de Almería, SpainRaymond Aaron Younis, ACU Australia, AustraliaRochelle Ge, University of Saint Joseph, MacaoSandro Sehic, Oneida BOCES, USAVassiliki Pliogou, Metropolitan College of Thessaloniki, GreeceXiaojing Sun, Utrecht University, The NetherlandsWilliam OscarEditorial AssistantInternational Journal of Contemporary Education---------------------------------------------------------Redfame Publishing9450 SW Gemini Dr. #99416Beaverton, OR 97008, USATel: 1-503-828-0536 ext. 509Fax: 1-503-828-0537E-mail: ijce@redfame.comURL: http://ijce.redfame.com
Challenges in Cyber Crime and Security

Definition: - Computer crime is an offence or an attack done by the third party or the individual or group of people. It may be done in terms of many possible reasons like to steal some crucial information or data or money and all that possible things that may affect the victim mentally, financially or physically. Resources: - Internet, phone, hardware devices. Effects: - The coders may pollute some sort of codes which termed as viruses in the computers of the country men and may affect the security of the people at a very nominal grade but this is not all, it may also affects the norms and the rules of the organizational companies and may steal their crucial information. These types of people are termed as HACKER in the context of Cyber Security They also have an adverse effect on the economy of the country as the country may not have the proper rules and the cyber experts for securing of data and in that type of country no businessman may invest . Securing yourself: - Actually the computer polluters are the well-known people who have good enough knowledge of their work but we can still get out the attack held on us by using some precaution and using the proper paid and genuine antivirus as an survey has declared that in 58% of pc’s people have viruses due to their unpaid and local antivirus.