Reviewerly/exHarmony huggingface dataset:
MT Embedded E-Learning in India - Challenges for NLP/AI

Indian languages are spoken by more than 90% of its population while most of the higher education happens in English medium. The policy makers in Indian government have realized that by introducing multilingual education electronically, they can reach out to the remotest corner of India and educate all in their mother tongue. The New Education Policy (NEP) draft just released by the government puts a heavy focus on mother tongues in education. The recent initiatives and focus on Natural Language Processing/ Artificial Intelligence (NLP/AI) in education through e-learning is not too surprising in this context. The paper presents the current initiatives in these directions by the government of India, surveys available NLP technologies particularly those for automatic translation of educational content developed by academia and industry and focuses on the Maithili language community. India's education needs are diverse and the success of e-learning depends heavily on the availability of necessary NLP tools in all languages. Almost all of major scheduled Indian languages are considered "resource-poor". While some of these languages may have the basic tools, they lack quality translation tools for delivering education in native language. The situation is more challenging in those languages where even the most basic resources and tools do not exist. Maithili - a language of Bihar and Nepal is such a language. The paper also presents an effort to develop MT resources and tools for Maithili and its application in delivering multilingual content for education.
Application of cryptographic algorithms in decentralized networks and prospects for their replacement for the post-quantum period

The article reviewed cryptographic algorithms that are used or can be used in decentralized networks. Algorithms for protection, both from classical and from quantum attacks are given. In the work there is a general analysis of the methods already used. Reviewed algorithms for protection, both from classical and from quantum attacks are given. The results of this work show the need for cryptographic algorithms to protect against possible quantum attacks in the future.
A Cloud-Based Image Distribution and Reconstruction using Improved POB Number System

Today, The Multimedia Content Has Been Growing Rapidly. So, There Came A Necessity To Secure The Ever Growing Multimedia Content, Especially Images. Cloud Can Be A Good Solution To Store This Ever Growing Content But Still Cloud Has Its Disadvantages Since Third Parties Involved In It. So Image Sharing Over The Cloud As Pixels Came Into Existence. The Tampering Has Become Very Easy With The Evolution Of Many Editing Tools. So, Securing The Image Has Become Very Important. In This Paper, We Have Proposed An Improved Pob Number System To Distribute The Image Over The Cloud And Reconstruct The Image Whenever Needed. This Makes The Image More Secure As The Intruder Can’t Get Hold Of The Complete Information Of The Picture. This Maintains The Confidentiality Of The Image.
Paloma O Shea Santander International Piano Competition

In its near 20 year history, The Paul & Daisy Soros Fellowships for New Americans has built a community of 655 immigrants and children of immigrants.The
Affordable Cluster-Based Context for Multimedia Big Data Extraction

Most of the data being created than ever before and that can be textual, multimedia, spatial information. To process this data, several data processing platforms have been developed including Hadoop, based on the Map Reduce model and HPCC systems. The HPCC System analysis provides a framework for multimedia data processing. Moreover, Multimedia data encompasses a wide variety of data which is not limited to image data, video data, audio data and even textual data, while developing a unified framework for such wide variety of data to consider computational difficulty in it. Preliminary results show that HPCC can potentially reduce the computational complexity significantly.
The dilemma and the improvement path of the proposition situation of science in Chinese college entrance examination

As the reform of the examination enrollment system and the examination content in China evolve, although we have witnessed some progress in the quality of science college entrance examination proposition, some challenges and problems persist, mainly in: inadequate diversity of situation, insufficient presentation of the situation and contempt for the scientific nature of situation. In view of the above issues in the compilation of proposition situation, the following improvements are proposed: select situation scientifically, present situation effectively, and explore whether the situation follows the nature of science.
Robust Video Watermarking using Secret Sharing and Cuckoo Search Algorithm

Cuckoo search algorithm is an efficiently designed algorithm for optimization based on the behavior of blood parasitism of Cuckoo species. The main advantages of Cuckoo Search algorithm are its simplicity, less computational time and efficiency. With said advantages, a novel method on video watermarking using Cuckoo search algorithm in DWT-SVD transform domain is proposed. SSIM, BER are used for fitness function in optimization function. The method proposed uses secret share method to achieve more security of watermark. The experimental results prove that the proposed video watermarking method provides good imperceptibility and more robust to attacks compared to few related methods.
Acute aortic syndrome

The Winter Course 2021 covers a variety of topics from basics in interstitial lung disease, infections including Covid-19, malignancies, lung cancer screening, and artificial intelligence. The combination of topics is aimed to serve as a good introduction to radiologists embarking on a career in thoracic imaging as well as a solid refresher for experienced thoracic radiologists. [ESTI Winter Course 2021 Evaluation Form](https://www.surveymonkey.com/r/PP9WFTJ?sid=%5Bsid_value%5D&uid=%5Buid_value%5D&tkn=%5Btkn_value%5D&cgrid=%5Bcgrid_value)
Improving Resilience Through Source Water Protection

Journal AWWAVolume 112, Issue 4 p. 71-73 Security & Preparedness Improving Resilience Through Source Water Protection AWWA Source Water Protection Committee, Search for more papers by this author AWWA Source Water Protection Committee, Search for more papers by this author First published: 06 April 2020 https://doi.org/10.1002/awwa.1484Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onEmailFacebookTwitterLinked InRedditWechat No abstract is available for this article. Volume112, Issue4April 2020Pages 71-73 This article also appears in:Drinking Water Week 2020Drinking Water Week 2021Source Water Protection Week Collection RelatedInformation
A fuzzy cognitive map-based approach to prioritise environmental objectives in the environmental management systems of ports

Increased attention is being paid to the environmental and social impacts of ports, adding pressure to the port authorities towards sustainable port management and development. Environmental priorities of European ports have changed over the years, however environmental aspects such as energy consumption, carbon footprint and waste are being monitored increasingly. A certified environmental management system (EMS) and definition of objectives and targets for monitoring environmental aspects are being used to assess the environmental management performance of the ports. This paper proposes a modelling methodology based on fuzzy cognitive maps (FCM) to prioritise environmental objectives and targets as part of an EMS for a port and shows a case study for the port of Thessaloniki. The case study builds on the results of a previous study that employed the ecological footprint (EF) methodology to assess the CO2 emissions-related EF of the port of Thessaloniki for 2008-2009.
A Hybrid Surf-Based Tracking Algorithm with Online Template Generation

Visual tracking is the most challenging fields in the computer vision scope. Occlusion full or partial remains to be a big mile stone to achieve .This paper deals with occlusion along with illumination change, pose variation, scaling, and unexpected camera motion. This algorithm is interest point based using SURF as detector descriptor algorithm. SURF based Mean-Shift algorithm is combined with Lukas-Kanade tracker. This solves the problem of generation of online templates. These two trackers over the time rectify each other, avoiding any tracking failure. Also, Unscented Kalman Filter is used to predict the location of target if target comes under the influence of any of the above mentioned challenges. This combination makes the algorithm robust and useful when required for long tenure of tracking. This is proven by the results obtained through experiments conducted on various data sets.
An NLP Based Contrivance to Simplify Customer Interaction

An intelligent application is an instrumental driving force in retention and satisfaction of customers. Consertle would be one of the first banking applications in India that enables users to interact with an intelligent application through a chat bot that is specifically designed to understand, interpret and analyze user behavior so as to provide better and more efficient results. While chat bots itself are a new introduction to the Indian financial system, an intelligent chat bot enables customer to instant and more efficient query resolution.Currently, most banking applications are visual medium which requires customer to proceed through various levels of data entry and selection in order to get the desired response. It may be a query related to one’s account, transactions or information about the bank in general; but the process to get a satisfactory result is a relatively long and tedious process. It is notable that automation in the financial sector is largely primitive even after the outbreak of technologies such as AI, CV, ML, etc.Natural Language Processing and Machine Learning enables the creation of an automated system that takes in input in the form of voice and/or text, processes it and gives an intelligent response to the user which would be aimed at satisfying their current requirements along with the possible, predicted, immediate query that is likely to arise. The key component of application Consertle is the portable mobile application that upholds the chatbot, where NLP based speech to text conversion and interpretation takes place, thus production accurate results and also providing suggestions, by analyzing user behavior which is dependent upon many factors.
Data Classification Using Ultra-High Frequency SINC and Trigonometric Higher Order Neural Networks

This chapter develops a new nonlinear model, ultra high frequency sinc and trigonometric higher order neural networks (UNT-HONN), for data classification. UNT-HONN includes ultra high frequency sinc and sine higher order neural networks (UNS-HONN) and ultra high frequency sinc and cosine higher order neural networks (UNC-HONN). Data classification using UNS-HONN and UNC-HONN models are tested. Results show that UNS-HONN and UNC-HONN models are more accurate than other polynomial higher order neural network (PHONN) and trigonometric higher order neural network (THONN) models, since UNS-HONN and UNC-HONN models can classify data with error approaching 10-6.
Getting Ready to Work with PHP

Now you’ve decided to use PHP to enrich your web pages, you need to make sure that you have everything you need to get on with the rest of this book. Although you can test everything on your remote server, it’s usually more convenient to test PHP pages on your local computer. Everything you need to install is free. In this chapter, I’ll explain the various options for Windows and macOS. The necessary components are normally installed by default on Linux.
“Lit-Movie”: Teaching Literature using Media-Assisted Learning

The teaching and learning of English Literature is to be considered as one of the main components in Malaysian English Second Language (ESL) context. The methods and strategies of teaching and learning literature components has evolved over time and this includes the integration of technology in teaching literature. All parties, including teachers, parents and schools have been responsible in promoting literature. However, regardless of all the initiatives taken in regards to promoting literature, students nowadays tend to still lack of competency in learning literature due to lack of interest in learning literature. Hence, it is believed that there is a need for an innovation of using media in teaching literature in the classroom. “Lit-Movie” which is an inventive teaching and learning material is designed and developed to help assist language teachers with a more fun way to teach literature to their students.
Immune Particle filter Design for Terrain Referenced Navigation

Terrain Referred Navigation (TRN) has been suggested to as a means to compensate for GPS vulnerabilities. TRN makes use of an interferometic ratio altimeter (IRA) to gather terrain information, resulting in a highly non-linear relation between actual altitude and estimated altitude. Therefore, TRN requires a filter which can endure high non-linearity. This paper proposed the use of immune particle filter to improve TRN performance. The proposed filter works by discriminating particles into three groups of superior, neutral, inferior particles. After discrimination, the filter replaces inferior particles to other particles. Replaced particles undergo hyper-mutation to obtain particle diversity. Simulation results have shown this procedure enhances the overall performance and robustness of the filter and TRN system.
Energy Optimization on Symmetric Key Encryption and Decryption Algorithm using Genetic Algorithm

In this paper we have proposed energy optimization on symmetric key encryption and decryption algorithm are using genetic algorithm where we have used symmetric key for encryption &amp; decryption algorithm that optimize the energy in terms of power consumption related to the laptop battery. This method combines the concept of a genetic algorithms and cryptography in very different ways. The algorithm uses deterministic way to generate pseudo random number and applied crossover &amp; mutation deterministically. The algorithm exploits the features of the GA deterministically because GA is fast. Finally we got the actual message of ASCII code by using decrypted algorithms minimises power consumption relatively.
The Aho–Corasick Algorithm

This chapter describes a special construction based on finite-state automata with important applications: the Aho–Corasick algorithm is used to efficiently find all occurrences of a finite set of strings (also called pattern set, or dictionary) in a given input string, called the ‘text’. Search is ‘online’, which means that the input text is neither fixed nor preprocessed in any way. This problem is a special instance of pattern matching in strings, and other automata constructions are used to solve other pattern matching tasks. From an automaton point of view, the Aho–Corasick algorithm comes in two variants. We first present the more efficient version where a classical deterministic finite-state automaton is built for text search. The disadvantage of this first construction is that the resulting automaton can become very large, in particular for large pattern alphabets. Afterwards we present the second version, where an automaton with additional transitions of a particular kind is built, yielding a much smaller device for text search.
An Efficient Two step Algorithm for Despeckling the Ultrasound Image

The speckle noise presence in ultrasound images is a critical concern in medical image processing. It degrades the important features captured in an image and decreases the physician’s capacity to understand the image accurately. In recent years, numerous techniques have been proposed to de-noise the ultrasound images. In this paper, a new speckle noise removal algorithm has been proposed for medical ultrasound images. Based on the concepts of fuzzy logic and Coefficient of variation, the proposed algorithm first classifies the image area into three different regions such as homogeneous, edge and detail region. Next, average filter, median filter and an adaptive mean filter are employed to partition the unwanted noise from the pixels of different regions. Filter selection depends on the features of a region. The proposed algorithm develops image quality by removing maximum unwanted noise while protecting the important image details
Software Error Indication using Artificial Neural Network and Strong Back Propagation

Software designing field contains different methodologies identified with expectation, for example, test exertion forecast, redress cost expectation, blame expectation and so on. Among these product blame expectation is the most mainstream look into zone and numerous new tasks are begun around there. At the point when there is a mistake in the PC program, it delivers an invalid or false outcome. Henceforth expectation of inadequate modules is important to improve the product quality. Different techniques and metric sets are accessible to discover the false modules that are blunder inclined. In this, Artificial Neural Network based programming flaw forecast method is utilized. To discover assessed answers for improvement and inquiry issues this technique is utilized. Manufactured Neural Network is utilized for finding the flawed components and additionally to predict the mistaken modules.
A Good Computer-assisted Translation Tool Wordfast for PPT Translation

As China develops very fast, it becomes an attractive market for foreign enterprises. A large number of documents such as technical instructions, product manuals, company websites need to be translated. High-equality translations are needed. Computer-aided translation is on the rise since it can improve translation quality and efficiency. Wordfast Pro as the second most widely used CAT tools after SDL Trados gets little attention for translators in China. After comparing some features of three computer-assisted translation tool: wordfast, SDL Trados and Memsource, it is found that Wordfast is easier to handle for PPT translations from English to Chinese. This paper will illustrate the translation procedures, problems and some recommendations using Wordfast. Through analysis of empirical studies of some instruction translation of PPT files, the author has proved the advantages of wordfast in dealing with PPT file in terms of interface, terminology management, translation omissions and network dependency. After reviewing the translation procedures and problems, it will facilitate those translators who intend to start using Wordfast and know more about it and speed up the translators’ work. Based on the current user experience, some recommendations for the software developers are also put forward which is of practical significance to improve the quality of CAT software. The suggestions for communication between clients and translators can improve the efficiency and make both sides feel satisfied.
Automated Error Detection Inreed-Solomon Encoders

Ree omon that is d-SolRS) c odes are mostly us e d to get and proper errors in transmission systems and also s torage de vices . The des igner should also just take into account the event of faults into the encoder and s ubs ys temswhe n RS codes are used for reliable systems . The s RS that is elf-checking enc architecture is presente d i n this paper . The RS encoder architecture age exploits some proper ties regarding the operations which can be arithmetic Galois Field (GF(2m)).Thes e properties are rel ate d to the parity of the bi nar y re presentation regarding the elements associated with the Galois Field.In this paper , enables i mplementing c oncurre mistake that is nttection s che me us eful for a wi de range of different decoding algorithms without any inter venti on in the decoder architecture. More over, performances in terms of area and delayoverhe advertisement for the propos e d ci rcuits are presente d.
Compare Strings

In the previous chapter, we used strings with implicit lengths, which means that these strings are terminated by a null byte. In this chapter, we will compare strings with implicit lengths and strings with explicit lengths.
Automatic Acquisition and Semantic Annotation of Web Tourism Information

Data collection and semantic annotation is often the basic of information processing such as semantic relation analysis of data, big data mining and semantic information search et.al. A method which collects data from tourism web site and annotates these data with semantic tags automatically is promoted in this paper. The crawler which collects data from web site automatically is introduced firstly. Then the Chinese word segmentation tool and a classic key word extraction algorithm TF/IDF are introduced. With the help of a crawler, we collection tourism information about 247 sight spots in Beijing and 4198 sight spots in other area of China from the web sites of elong and ctrip. Then with the help of the ICTCLAS and TF/IDF, we abstract keywords from the information as semantic tags to annotate the sight spots.
Effects of Gripping Object’s Characteristics on Thumb Movement during Forceps Operation and Ability to Discriminate Stiffness

In the endoscopic surgery, the forceps attached many kinds of gripping clip have been used, but it has been pointed out that there is a difference in the operability of the endoscopic forceps in the actual operation. In addition, the gripping clip of the forceps for endoscopic surgery is used according to the application purpose and the object to be grasped, it is assumed that the grasping sense characteristics change according to the characteristics of the object to be grasped. In this study, to consider the design policy of forceps shape that reduce the difference in sensation between direct palpation and using forceps, a sensory test was carried out by Scheffé’s methods of paired comparison with the measurement of thumb joint angle. The specimens were used a silicon rubber with different stiffness and thickness as a substitute for materials as an object of the sensory test, and they were used elastic strain sensor in the measurement of the angle of the thumb joint. From the experimental results of the sensory test, all forceps were most sensitive to stiffness difference at a sample thickness of 5 mm, and forceps B is more sensitive to stiffness differences when the sample thickness is 1 mm and 5 mm. As a result, we clarified the effect of thumb movement on stiffness discrimination by classifying the subjects according to the correlation coefficient between thumb movement evaluation parameters and point by Scheffé’s method.