Reviewerly/exHarmony huggingface dataset:
Optical Character Reader &amp; Text To Speech Conversion using Correlations &amp; Speech Synthesis

In the modern era of image processing, recognizing content or information from an image is process of electronic conversion into machine encoded text. Advanced systems that are capable of producing high accuracy for multi-font recognition are now becoming commonplace, and with the support of digital consent formatting. Some programs are able to retrieve formats that are very close to the original page including images, columns, and other non-text items. Proposed system is able to recognize text from an image and convert it into editable text along with speech conversion. System uses Correlation model for OCR (Optical Character Recognition) and Speech Synthesis for TTS (Text To Speech) conversion. Correlation is a measurement of the similarities between two similar objects such as the predefined alphabets and recognizing a combination of those alphabets from an image. Speech synthesis is an artificial expression of human speech. The computer program that has been used this feature is called a speech computer as well as speech synthesizer that can be implemented on the basis of software or hardware primitives. The text-to-speech system (TTS) converts a standard language text into a speech; some programs provide figurative language presentations such as typed text in speech. System is capable enough to acquire high level of accuracy with less false recognition. It is required to built an effective text scanner that can recognize text from an image with less error rate. System has been implemented in MATLAB and various pre-processing filters have been applied for better enhancement and extraction. Hand written text can also be recognized with an effective manner.
Testing and Debugging TypeScript

In this chapter, I continue the theme of TypeScript development tools started in Chapter 5, which introduced the TypeScript compiler. I show you the different ways that TypeScript code can be debugged, demonstrate the use of TypeScript and the linter, and explain how to set up unit testing for TypeScript code.
A Semantic Extraction and Analysis for Traffic Density Using Traffic Images: A Critical Review

Population growth in large cities has contributed to the increase in vehicles' number, leading to the traffic congestion problem. Incompetent traffic supervision could squander an inconsiderable number of man-hours and might lead to fatal consequences. Therefore, intelligent traffic surveillance systems have to carry more significant roles in highway monitoring and traffic management system throughout the years. Although vehicle detection and classification methods have evolved rapidly throughout the years, they still lack high-level reasoning. Accurate and precise vehicle recognition and classification are still insufficient to develop an intelligent and reliable traffic system. There is a demand to increase the confidence in image understanding and effectively extract the images conformed to human perception and without human interference. This paper attempts to summarize a review on several methods that semantically extract and analyze traffic density with image processing techniques. Three (3) methods that have been selected to be discussed in this paper are semantic analysis of traffic video using image understanding, mining semantic context details of traffic scene, and integrating vision and language in semantic description of traffic events from image sequences. Each method is discussed thoroughly, and their outstanding issue is deliberated in this paper.
Creating the Data Model

In this chapter, I start adding functionality to the ASP.NET Core MVC and Angular parts of the project to create a data model. I’ll set up a SQL Server database to store the application data and define the model classes that Entity Framework Core will use to represent the data. On the Angular side, I’ll define the TypeScript classes that will represent the data and define a repository that will make the data available throughout the application. Table 4-1 puts creating the data model into context.
Index/Impressum: Vakuum in Forschung und Praxis 1/2021

Vakuum in Forschung und PraxisVolume 33, Issue 1 p. 51-51 MagazinFree to Read Index/Impressum: Vakuum in Forschung und Praxis 1/2021 First published: 18 February 2021 https://doi.org/10.1002/vipr.202170108AboutPDF 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. Volume33, Issue1February/March 2021Pages 51-51 RelatedInformation
A Pattern Storage System using Pattern Warehouse along with Sources of Pattern Generation and Applications

Now a day different data mining algorithms are ready to create the specific set of data known as Pattern from a huge data repository, but there is no infrastructure or system to save it as persistent storage for the generated patterns. Pattern warehouse presents a foundation to make these patterns safe in the specific environment for long term use. Most organizations are excited to know the information or patterns rather than raw data or group of unprocessed data. Because extracted knowledge play a vital role to take right decision for the growth of an organization. We have examined the sources of patterns generated from large data sets. In this paper, we have presented little importance on the application area of pattern and idea of patter warehouse, the architecture of pattern warehouse then correlation between data warehouse and data mining, association between data mining and pattern warehouse, critical evaluation between existing approaches which theoretically published and more stress on association rule related review elements. In this paper, we analyze the patterns warehouse, data warehouse concerning various factors like storage space, type of storage unit, characteristics, and provide several research domains.
Test yourself MCQ and extended matching

For questions 1–4, select the statements which are true and which are false. The correct answers are given below.
Improving the Internet using Signed Methodologies

Numerous steganographers would concur that, had it not been for IPv6, the sending of Boolean rationale may never have happened. In our exploration, we discredit the comprehension of writeahead logging, which epitomizes the natural standards of apply autonomy. We test how A* search can be connected to the examination obviously product.
OOP Case Study: Considering Security

The Address Book Application (ABA) case study is continued. Two new ABA requirements are described and implemented in two versions of an object-oriented programming (OOP) solution. Each OOP solution is described using source code, a class diagram, a Nassi–Shneiderman diagram, and a statechart. The program design criteria described in Chaps. 2 , 5 and 8 are used to evaluate each solution.
Designing a Web-based Room Service System

In the digital era, almost all activities are done computerized. Now the internet is widely used in business activities. In the field of internet business used for marketing, usually marketing is done through a website of a company. This method is quite powerful in overcoming the limited time for marketing a product company. However, not all business activities do this way of marketing. One business activity that has not fully to use the internet in marketing its products is hotels, hotel has room service services which is still done manually. This way is still less effective against marketing room service services, for it is necessary for a web-based computerized system that can overcome these shortcomings. This research methodology uses SDLC (System Development Life Cycle) through the planning, analysis, design and implementation phase. The final result of this design are a website that can facilitate in overcoming the reservation service room service at hotels.
Retraction: Natural Microalgae Biofilm As A Tool To Clean-Up Mining Wastewater (IOP Conf. Ser.: Earth Environ. Sci. 775 012014)

It has come to the attention of IOP Publishing that this article should not have been submitted for publication because of its substantial replication without citation of an earlier-published paper (Adamu Yunusa Ugya, et al 2020, All Life, 13:1, 644-657 ). Consequently, this paper has been retracted by IOP Publishing. The authors agree to this retraction. Retraction published: 21 July 2021
Foreword by president of Tsinghua university

As the president of Tsinghua University, I am delighted to read the inaugural edition of this journal, Intelligent and Converged Network, and see the fruitful outcomes of the Tsinghua — International Telecommunication Union (ITU) partnership.
DNS in Real World

The examination of courseware has investigated the World Wide Web, and current patterns propose that the examination of setting free sentence structure will before long rise. Truth be told, few cyberinformaticians would differ with the investigation of virtual machines. In this paper we utilize remote originals to demonstrate that deletion coding and blockage control can conspire to answer this conundrum.
Image Enhancement using Generative Adversarial Networks

Mobile Photography has been brought to a significantly new level in the last several years. The quality of images taken by the compact lenses of a smartphone have now appreciably increased. Now, even some of the low- end phones of the market spectrum are able to take exceedingly good photos in suitable availability of lighting, due to the advancement in numerous software methods for processing the images post capture. However, despite these tools, these cam- eras still fall behind the aesthetic capabilities of their DSLR counterparts. In the quest to achieve high quality images through a smartphone camera, various image semantics are inadvertently ignored leading to a less artistic image quality than a pro- fessional camera. Although numerous techniques for manual as well as computerized image en- hancement tasks do exist, they are generally only focused on brightness or contrast and other such global parameters of the image and does not go on to improve the content or texture of the image and neither do they take the various semantics of the image into account. Moreover, they are usually based on a predetermined set of rules that never considers the actual device specifics that is capturing the image — the smartphone camera. For our enhancement, we have endeavored to use a unique deep learning technique to transform lower quality images from a smartphone camera into DSLR-quality images. To enhance the image sharpness, we have used an error function that combines the three losses - the content, texture and color loss from the given image. By training on the large-scale DSLR Photo Enhancement Dataset, we have optimized the loss function using Generative Adversarial Networks. The end results produced after testing on a number of smartphone images yield enhanced quality images comparable to the DSLR images with an average SSIM score of approximately 0.95.
Large-scale case study: accelerator for ResNet

For this case study, we have developed a quantized large-scale ResNet-50 network using ImageNet [265] benchmark with high accuracy. We further show that the quantized ResNet-50 network can be realized on ReRAM crossbar with significantly improved throughput and energy efficiency.
Exploring Chatbot Implementation Methodologies used in Customer Support Industry

In an IT industry, technical support is a huge sector which requires a lot of manpower and other resources. Although huge organizations have a dedicated group of people working on it, small companies could not afford to have a separate department for managing customer queries. Automation in industry is associated with faster production and cheaper labor costs. By leveraging today's technologies such as Machine learning and Natural Language Processing, the process of handling user’s queries such as complaints about a certain product, feedback, customer experience, and clarifications could be automated using intelligent agents (chatbots) that are able to understand the user's query and assist them accordingly. This process of automating user query handling using chatbots has been the main interest of multiple organizations and would result in saving a lot of resources as well as improve overall customer experience.This paper is a comprehensive exploration of how chatbots have evolved over time and what methodologies are being used to implement these chatbots across different organizations.
Realization of a Multi-Node Quantum Network of Remote Solid-State Qubits

Entanglement-based quantum networks will provide exciting opportunities for science and engineering. Here, we report the realization of a three-node quantum network by generating distributed multi-partite entangled states and performing entanglement swapping through an intermediary node.
SportsStore: Administration

In this chapter, I continue building the SportsStore application by adding administration features. Relatively few users will need to access the administration features, so it would be wasteful to force all users to download the administration code and content when it is unlikely to be used. Instead, I am going to put the administration features in a separate module that will be loaded only when it is required.
Detection of QR Code based on Mask R-CNN using Synthetic Image under Perspective Transform

Various types of 2D barcodes including QR code, Data Matrix are widely used in diverse industries. Recently, QR code is adopted in mobile phone. They require QR code occupy some amount of area on the image to correctly operate. In other application of mobile robot navigation where QR code is used as landmarks, we need to detect QR code in various scale and lighting condition. Traditional approaches operate well under restricted conditions also they require the setting of many parameters. In this paper, we deal with the detection of QR code in wild including various lighting condition and scale. We adopt the Mask R-CNN [11] for the detection of QR code. It requires many training images to have good performance. We present a method that uses composite images which is made under general perspective transform. QR code under reference poses and real images are composited by the presented method. We present various experimental results under diverse configuration of hyperparameters. Sequential step of first training using many composite images then finally training using real images show the best performance. Experimental results show the feasibility of presented approach.
Preface

We are so delightful to announce that 2019 2nd International Symposium on Big Data and Applied Statistics (ISBDAS2019) has been held on September 20-22, 2019 in Dalian, China, which is to promote research and developmental activities in big data and applied statistics, and to promote academic and scientific communication among researchers, developers, engineers, students, and practitioners from home and abroad. ISBDAS 2019 aims to bring together innovative academics and industrial experts in the field of Big Data and Applied Statistics to a common forum. The primary goal of the conference was to promote research and developmental activities in Big Data and Applied Statistics and another goal was to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working all around the world. We were very honored to have Dr. Hamid R. Ghaeini from CISPA - Helmholtz Center for Information Security and Assoc. Prof. Cai Kui from Singapore University of Technology and Design as our keynote speakers. Dr. Hamid R. Ghaeini discussed the practical implementation of stealthy attacks on industrial control systems, presented Zero-Residual Attacks and proposed to use a Stateful Detector (SD) as an anomaly detection counter-measure to precisely detect such stealthy attacks. Prof. Cai Kui presented a marvelous speech on Information Coding and Error Correction for DNA-Based Big Data Storage. We are pleased to introduce the Proceedings of ISBDAS2019 which contain a selection of papers from contributed presentation in the conference. The Proceedings features recent result and contemporary research in following topics: big data, statistics, computer science, information science, cloud computing and other related subjects. All the papers have been through rigorous review and process to meet the requirements of International publication standard. On behalf of the committee, we would like to express our gratitude to the distinguished speakers who have come to share their valuable findings and knowledge, to the chairman and all participants, who contributed a lot and made this conference a great success. We would also like to thank the contributors for submitting their papers and patiently revised them according to the suggestions of the designated reviewers. Finally, we are particularly excited that the symposium sees the participation of most concerned. All the members of the organizing committee hope that all the articles in this conference can provide valuable summary and reference for researchers in this field. The Organizing Committee of ISBDAS2019 List of Committee members are Available in this pdf.
Blockchain in the music industry

Following on from the previous chapter which considered the impact of artificial intelligence technology on copyright and the music industry, this chapter considers another type of technological develop; blockchain. This chapter discusses the use of blockchain technology in copyright registrations, licence and payments, and copyright enforcement.
Routing and Navigation: Part 1

The Angular routing feature allows applications to change the components and templates that are displayed to the user by responding to changes to the browser’s URL. This allows complex applications to be created that adapt the content they present in an open and flexible way, with minimal coding. To support this feature, there are data bindings and services that can be used to change the browser’s URL, allowing the user to navigate around the application.
Development of Climate Services for Renewable Energy: Statistical Post-processing of Solar Radiation Seasonal Forecast Over the Indonesian Region

&amp;lt;p&amp;gt;Indonesia is one of the tropical regions with strong solar radiation exposure throughout the year, and this indicates the large potential for solar energy utilization in the country. Nevertheless, the utilization of solar energy in Indonesia until 2020 had only reached 10 MWp, as reported by the Ministry of Energy and Mineral Resources (ESDM), which is very small compared to the total potential of solar energy in Indonesia (approximately 112,000 GWp). One of the challenges for the development of solar energy in Indonesia is the weather and climate factors, as several weather parameters can cause intermittency in solar energy input in this region.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;In the solar energy sector, a reliable forecast of potential energy input is of great importance in designing operational plans, whether it is a short-term, annual, or longer-term work plan. Global horizontal irradiance is an important quantity to determine the power generated from photovoltaic devices, and different resources are used to generate global radiation forecasts all over the world, ranging from ground-observed radiation, remote sensing observation, to numerical weather models. The European Centre for Medium-Range Weather Forecasts (ECMWF) provides solar radiation forecasts for various timescales, from hourly forecast to monthly and seasonal forecast. Whilst short-term solar radiation forecast is provided by other standard weather forecasting models, forecasts in the longer timescale are less commonly available and thus the seasonal forecast becomes a valuable information in making long-term operational plans.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;A new solar radiation observation network has been installed in a number of locations across Indonesia in recent years, which allows the evaluation and modification of the seasonal forecast generated by the model. To improve the performance of the forecast, a statistical post-processing approach is implemented, by making use of measurements provided by the radiation observation network and ERA5 reanalysis dataset. To generate historical solar radiation data in all parts of Indonesia, a co-kriging interpolation of the ground-observed solar radiation is executed, using reanalysis data as an external drift in the interpolation process. The new gridded solar radiation data is then utilized to create transfer functions that represent the relationship between the statistical moments of both the numerical model output and observed radiation based on its probabilistic distributions. The transfer functions are generated in the training period, which will then be used to modify the model output in the forecast period. The implementation of the bias-correction process applied in this explorative study is aimed to provide the foundation of solar radiation prediction information that will support the operational activities of solar energy production in Indonesia.&amp;lt;/p&amp;gt;
An Exploration of Multi Processors

Pseudorandom innovation and A* look have earned extraordinary enthusiasm from both security ex-perts and examiners over the most recent quite a while. Given the present status of duplicated episte-mologies, steganographers typically want the investigation of Moore's Law. Virility, our new framework for interposable epistemologies, is the answer for these amazing difficulties.
Shifting from one language to another: code-switching

The article touches upon the phenomenon of switching language codes -the alternating use of two or more languages in speech or writing, in order to convey your thought as clearly as possible, using the most appropriate language from those that the speaker is able to speak.
Correction: The Effect of Robot Attentional Behaviors on User Perceptions and Behaviors in a Simulated Health Care Interaction: Randomized Controlled Trial

[This corrects the article DOI: 10.2196/13667.].