Reviewerly/exHarmony huggingface dataset:
The Related Research on the Signal Processing of Pulse Mann Code While Drilling in the Background of Big Data

The application of MWD technology in the current oil exploration has been very common. During the drilling process, various sensors with different feedback and response characteristics can be used to collect and obtain real-time inspection and measurement information, and use computers for digital processing, analysis and interpretation of this information, so as to make real-time oil drilling decisions and optimize mining drilling work on the track improves the recovery rate of imported oil and gas. This article focuses on the research of pulse-man-code while drilling signal processing under the background of big data. After understanding the theory of pulse-man-code while drilling signal and big data on the basis of relevant literature data, proposes a pulse-man-code while drilling signal processing system, and the system is designed, and finally the designed system is tested. The test results show that the processing value of the algorithm used by the system in this paper is not related to the actual value, and the maximum term error is 3.53%, meet engineering requirements.
A Comparative Algorithm of the Similarity in “Blank” Concept for Chinese and Western Poetics in the Context of Internet

Traditional cross-language similarity assessment techniques mostly rely on the theories of linguistics and pragmatics, which is also bound up with the natural features of "natural language". This paper mainly studies the similarity comparison algorithm of "blank" concept in Chinese and Western poetics under the background of Internet. In this paper, a sentence-level cross-language similarity assessment framework (SCLSE) is proposed. The framework is based on word embedding as the underlying vector representation, which is used to learn the semantic representation of sentences through the fusion of various neural network structures, and finally outputs the similarity score of sentences. In this paper, we also divide the short text into paragraphs and treat the paragraphs as long sentences as sequence input to realize the iterative calculation of similarity on a larger scale. In this paper, we set up different comparative experiments to verify the effectiveness and application value of SCLSE framework in the cross-language text similarity assessment task under different text unit granularity.
La résolution des litiges blockchain - vers un arbitrage décentralisé ?

‘’Blockchain’’ is often described as a technology that allows the prevention of conflicts. The code is thus presumed to accurately execute the will of the parties. However, blockchain technology supports economic and social interactions between humans and, as in any social environment, disputes are inevitable.This Master Thesis presents a new type of disputes that has emerged from the blockchain ecosystem, particularly from the use of smart contracts and decentralized autonomous organizations (DAOs). As with e-commerce disputes, blockchain disputes cannot be resolved by state courts, which are deemed too slow and expensive for litigants. Moreover, because of the pseudonymity and the decentralization of the network that both characterize blockchain technology, traditional connecting factors of private international law are inefficient in locating blockchain disputes within state borders.In order to resolve this kind of disputes, several ‘’blockchain dispute resolution” platforms have been created. These mechanisms work in a decentralized and pseudonymous way. The "arbitrators" who are entrusted with deciding the dispute are generally chosen randomly and they increase their chances of being selected the more they stake cryptocurrencies. The decision-making process is coordinated through game theory and economic incentives and the execution of the decision – which takes the form of a transfer of cryptocurrencies to the winning party (i.e. the party who obtains the majority of the arbitrators’ votes) – is ensured by a smart contract. The automatic execution of the decision leads to the creation of an autonomous justice system that is able to execute its own decisions, which is known as ''decentralized justice''.The author presents and analyzes the legal scope of some of these alternative dispute resolution (ADR) mechanisms, more precisely online dispute resolution (ODR) mechanisms. If the execution of decisions rendered by this type of ODR is guaranteed on the blockchain ("on-chain execution"), it remains unclear if they can have judicial effects outside the blockchain ("off-chain execution"). Indeed, some decisions are not limited to a transfer of cryptocurrencies but order one of the parties to perform a transaction in the physical world (for example, to pay for damages in fiat currency). A party may thus take legal action before a state authority to obtain the recognition and enforcement of the decision. As arbitral awards that fall within the meaning of the 1958 New York Convention benefit from the same enforceability as foreign judgements, the author analyzes whether decisions rendered by ‘’blockchain dispute resolution’’ mechanisms can be qualified as arbitral awards, by focusing on the procedure set up by the Kleros platform. If this were the case, decisions rendered by Kleros – and possibly other blockchain dispute resolution mechanisms – could be enforced both on-chain and off-chain.
Quantum Internet

Internet is at the heart of information age. It is a global network of billions of computers and other electronic devices. Over last few decades, Internet has revolutionised the human living by bringing in major changes in patterns of communications and has also made enormous amount of information available to the society. Internet also gets referred as a ‘network of networks’. During 1970s, the development of Internet happened in the United States, initially as a system for military utility and for other specific uses.
Document Description and Coding as Key Elements in Knowledge, Records, and Information Management

Document description and coding are key operations to information storage and retrieval systems. Description makes it possible for users to obtain information about the documents while coding provides unique numbers to described documents, and enables users to locate, retrieve and store documents manually or electronically. Consequent upon the mass production of information and attendant information explosion, modern libraries and other information dissemination institutions, attached to various institutions, were established. A need therefore arose to put in place systems of achieving bibliographic control over the information produced and collected to facilitate its identification and location wherever it may be found. Among the major systems or tools that information professionals developed to achieve bibliographic control and organization of information include: cataloguing, classification, indexing and abstracting. Using largely documentary sources, the chapter makes a case on the critical role of document description and coding systems in information and knowledge management.
Survey Paper on Semantic Web

The World Wide Web (WWW) allows the people to share the information (data) from the large database repositories globally. The tremendous growth in the volume of data and with the terrific growth of number of web pages, traditional search engines now days are not appropriate and not suitable anymore. Search engine is the most important tool to discover any information in World Wide Web. Semantic Search Engine is born of traditional search engine to overcome the above problem. However, to overcome this problem in search engines to retrieve meaningful information intelligently, semantic web technologies are playing a major role. In this paper the authors present survey on the role of search engines in intelligent web, Background, Challenges and some issues.
Introducing Spring Security

In this chapter, you will learn what Spring Security is and how you can use it to address security concerns about your application.
Imagine Thunder

The science fiction prototype entitled “Imagine Thunder” defines a future in which the protagonist suffers with major depression disorder and begins his recovery with the aid of virtual and immersive reality. In this immersive reality, the protagonist holds the ability to enter the world of his favourite fictional story in place of one of the characters. Through this, the protagonist faces challenges and comes to valuable self-realisations in which emotion-driven virtual reality aids the steady recovery of those suffering with a variety of mental illnesses. The protagonist shows the benefit of personalised virtual realities in which one can briefly inhabit to overcome obstacles which had previously hindered their individual recoveries.
Clique, Independent Set, and Vertex Cover

Finding complete subgraphs of an undirected graph is another fundamental problem with a variety of interesting applications in diverse scientific and engineering disciplines. Clique algorithms also find application in the comparison of structures described by trees or graphs and, as a matter of fact, finding maximal and maximum cliques is the basis of the algorithms discussed in Chap. 7 for finding maximal and maximum common subgraph isomorphisms between two graphs. Combinatorial algorithms are discussed in this chapter for enumerating all maximal cliques, and finding a maximum clique in an undirected graph. Further, the dual problem of finding a maximum independent set in an undirected graph is solved by finding a maximum clique in the complement of the graph, and a simple algorithm is given for finding a maximum independent set in a tree. These algorithms use the techniques given in Chap. 2, and the latter also builds upon the algorithms discussed in Chap. 3 for traversing trees. The algorithms for finding a maximum independent set are also used for solving the related problem of finding a minimum vertex cover, in both trees and undirected graphs.
Privacy Concerns With Digital Forensics

Digital forensics is a rapidly growing technology for examining the contents of computers and digital devices. It raises many challenges to conventional notions of privacy because it involves a considerably more detailed search of digital data than is possible with other techniques, and it can be done surreptitiously. However, there are analogies to homes and the rights of individuals to be free from unwarranted searches and seizures in their private spaces. Even though commercial software and data comprises most of digital space, there are clearly enclaves of data that deserves to be kept private. We discuss the techniques of digital forensics and investigative targets. We identify key challenges to privacy, and outline both the legal protections and the technical protections available. Unfortunately, privacy laws are ineffective in most countries, and users need to take their own measures to protect themselves.
Making the Case for Food Security through Contextual Engineering

A non-westernized nation’s food security often depends on preservation of rural agricultural livelihoods, yet a globalizationdriven international effort to “develop” societies by providing modern infrastructure has focused on population centers, creating two-tiered economies that frequently leave rural populations behind. As a result, young residents of rural communities are migrating with greater frequency to urban areas, viewing their home society as outdated and irrelevant. To address this disparity, organizations and volunteer groups attempt to deliver infrastructure interventions to small rural communities, often drawing upon their own experience or out-of-the-box designs to provide water, sanitation, transportation, or energy. The success rate of these interventions in meeting societal needs are marginal at best, often disregarding indigenous practices and beliefs and further demeaning rural lifestyles. A new approach is needed to stabilize rural communities and sustain agricultural livelihoods throughout the alternately developed world through quality-of-life improvements via engineered infrastructure. Contextual engineering merges technical design with sociological understanding to identify the critical influences that govern each client community, dispensing with the artifice of scalability to address specific physical needs. By focusing on client society beliefs, values, and needs, the infrastructure designer may better create an affordable, functional, and appropriate infrastructure to support and advance that rural society. This paper will present the contextual engineering concept’s potential to support rural growth for stronger agricultural productivity and national food security.
Software Process Improvement for Web-Based Projects Comparative View

Software process improvement has been the main target of many web application development organizations. Despite the importance of software process improvement, there is enough evidence that the majority of web-based software organizations are reluctant to adapt existing software process improvement models and standards as they perceive them as being oriented towards traditional software organizations. It has been observed that improvement efforts web-based software development organizations based on process improvement frameworks which are designed for traditional software organizations fail most of the time. This chapter attempts to make a review of different software process improvement models and check the suitability of these models to meet the special characteristics and requirements for the web-based projects. The findings of this study can be helpful for the web-based software development organizations in assessing and improving software processes.
The Construction of a Mixed University English Teaching System Based on Artificial Intelligence Technology

Artificial intelligence technology is widely used in English teaching, the application of artificial intelligence technology in the English teaching mainly adopts data real-time monitoring, data acquisition, data mining and other auxiliary English model system, auxiliary system of artificial intelligence application in English on the experiment platform are mainly composed of data acquisition, on the experimental platform for data integration analysis of English. The English experiment platform system has the characteristics of wide data range, large computation and high complexity. This paper mainly studies the practical role of artificial intelligence in college English teaching and discusses the application of artificial intelligence in English teaching. At the same time, through the systematic analysis of the current AI-assisted language learning software and system defects put forward relevant solutions, artificial intelligence technology is conducive to improve the application of intelligent human-machine system in English teaching, and provide technical support for the cultivation and development of English talents in colleges and universities.
Knowledge Extraction from Geographical Databases for Land Use Data Production

Our study focuses on the task of land use evolution in urban environment which is fundamental in revealing the territorial planning. It refers crucially to the use of spatial data mining tools due to their high potential in handling with spatial data characteristics. The results of our knowledge discovery process are spatial and spatiotemporal association rules referring to the land use and its evolution. Three proposals based on different knowledge extraction techniques are detailed. The first approach aims to extract spatiotemporal association rules by introducing time into the attributes. The second approach forecasts the extracted rules at different dates. The third approach is devoted to the mining of spatiotemporal association rules. This proposal looks for rules that relate properties of reference objects with properties of other spatial relevant objects. The extracted patterns are relationships involving the spatial objects during time periods. To prove the applicability of each approach, experimentations are conducted on real world data. The obtained results are promising.
Analysis of the influence of human faces for the estimation of salience in omnidirectional images

In this contribution a study dedicated to understanding the influence of the presence of human faces in a 360° image on human perception is presented. Extensive research on saliency estimation in 2D images has shown that the presence of faces attracts human attention. Following these studies, recent 2D image quality assessment methods exploit face detection systems in their models. The application of these concepts to 360° image is not straightforward. Furthermore, existing literature lacks a comparative study between the performance of face detection algorithms on various types of images (2D, fisheye, and omnidirectional) and how detected faces affect the procedure of saliency estimation. In this direction, we analyze the importance of person faces in a scene, by performing a set of subjective tests. From the performed analysis, it results that, even in 360° images, human faces represent an important factor for image saliency. However, giving equal importance to all the detected faces does not lead to a better saliency estimation. Therefore, in this work, a study on the possible use of the face detector in estimating the salience of the 360° image is performed.
ADVANCEMENT IN ENCRYPTION, QUANTUM COMPUTING AND ARTIFICIAL INTELLIGENCE

In the history of mankind, The communications creates two needs. First is Communication &amp; sharing and the other is selective or secative. Throughout history, the need of later has seen many changes for various reasons. With the advent of digitalizations the deciphering message has grew at an exponential rate and so the needs of different technologies to break that pattern. This paper explores the advancement of Encryption, Quantum Computing and Artificial Interlligence along with recent trends. Artificial Intelligence focuses on various armed forces, and what role it had played in India so far with its potential use in warfield. This includes drones and robotics along their advantages and disadvantages.
General theory of functional systems as a theoretical-methodological framework of the pedagogical system of quality assurance

The subject of this research is the pedagogical system of quality assurance. The goal consists in searching for innovative ways of the development of theoretical-methodological foundations for creating the pedagogical system of quality assurance in the higher education institution. The author examines such aspects as the development pf complex pedagogical systems in accordance with the hierarchical principle of compiling its fundamental pedagogical units (pedagogical subsystems), which allow creating branched architecture of the complex pedagogical system is created, depending on the goal and tasks of solution of pedagogical problem (in this case, the problem of quality assurance). Research methodology is based on the productive theoretical-methodological coupling of the concept of the general theory of functional systems (P. K. Anokhin) and the theory of pedagogical systems (N. V. Kuzmina). Comparative analysis is conducted on the analogies of the pedagogical system of quality assurance (according to the author&amp;rsquo;s version) and the classical functional system of behavioral act of a living organism. As a result, the author develop generalized architecture of the pedagogical system of quality assurance of the university. The novelty of this work consists in introduction of the concept of &amp;ldquo;pedagogical system of quality assurance&amp;rdquo; into the general classification of pedagogical systems of vocational education as an example of functional systems. The obtained results can be applied in creation of situational service for predicting and correcting the useful adaptive outcome of the activity of pedagogical system for improving the quality of higher education.
A Framework for Modernizing Non-Mobile Software

New paradigms such as pervasive computing, cloud computing, and the internet of things (IoT) are transforming the software industry and the business world. Organizations need to redesign their models and processes to be sustainable. Smartphones are at the core of these paradigms, letting us locate and easily interact with the world around us. Frequently, the development of mobile software requires of the adaption of valuable and tested non-mobile software. Most challenges in this kind of software modernization are related to the diversity of platforms on the smartphones market and to the need of systematic and reusable processes with a high degree of automation that reduce time, cost, and risks. This chapter proposes a modernization framework based on model-driven engineering (MDE). It allows integrating legacy code with the native behaviors of the different mobile platform through cross-platform languages. Realizations of the framework for the migration of C/C++ or Java code to mobile platforms through the Haxe multiplatform language are described.
Enabling Multi-scale Features and Double-Attention for Single-image 3D Urban Reconstruction

3D reconstruction from a single RGB image for urban scenes has been a foundation for safety-critical applications such as autonomous driving and city planning. It is essential to develop 3D reconstruction models that are accurate for these applications. The most recent single-image 3D reconstruction models leverage representative neural networks to address the problem and have achieved promising results. However, these approaches cannot correctly calculate the segmentation map and reconstruct depth for ambiguous scene regions and when scene information gets lost going through down-sampling layers. To solve this problem, we propose EMERALD, an end-to-end single-image 3D reconstruction framework, in which we empower the fully convolutional networks (FCN) with multi-scale contextual features and a novel double-attention mechanism to advance its discrimination capability on ambiguous scene regions and loss of scene details. The evaluation results on two leading urbanscene data sets, Cityscapes (Segmentation Covering (SC)1 of 61.2%) and SYNTHIA (SC of 81.9%), demonstrate the optimized network architecture’s effectiveness.
Genetic Algorithm Influenced Top-N Recommender System to Alleviate New User Cold Start Problem

Most recommender systems are based on the familiar collaborative filtering algorithm to suggest items. Quite often, collaborative filtering algorithm fails in generating recommendations due to the lack of adequate user information resulting in new user cold start problem. The cold start problem is one among the prevailing issue in recommendation system where the system fails to render recommendations. To overcome the new user cold start issue, demographical information of the user is utilised as the user information source. Among the demographical information, the impact of the user gender is less explored when compared with other information like age, profession, region, etc. In this work, a genetic algorithm-influenced gender-based top-n recommender algorithm is proposed to address the new user cold start problem. The algorithm utilises the evolution concepts of the genetic algorithm to render top-n recommendations to a new user. The evaluation of the proposed algorithm using real world datasets proved that the algorithm has a better efficiency than the state of art approaches.