Reviewerly/exHarmony huggingface dataset:
Automatic Arrival Time Uncertainty Assessment for Downhole Microseismic Monitoring Data

Summary Arrival time uncertainties intrinsically define the accuracy of all arrival time-based measurements, e.g. the precision of wave arrivals in microseismic registration. They are used to weigh the data in inversion algorithms and to define the resolution of reconstructed velocity models. Although a wide range of methods for arrival time uncertainty estimation has been proposed in the literature, the physically most prominent ones are based on the probabilistic formulation. We review two probabilistic approaches for assessment of the lower boundary of picking error which are well-known in the radio signal processing - the Cramer-Rao Bound and the Ziv-Zakai Bound. These classic bounds require explicit knowledge of the spectral variance of the signal that is often hard to determine in microseismic experiments. Hence, we present reformulations of the bounds suitable for the case of downhole microseismic monitoring. The resulting easy-to-use analytical expressions require the signal and noise parameters that can be directly obtained from microseismic data and, hence, can be efficiently applied to the data in a semiautomatic fashion. We further demonstrate that the proposed analytical expressions provide realistic values of the arrival time uncertainties, and that the obtained uncertainties can be used to improve further processing steps, e.g., microseismic source localization.
IOT &amp; Cloud Computing - The Platform and Services being enabled for Companies

Cloud computing and Internet of Things (IoT) are two very different technologies that are both already part of the various industries. Their support and use are expected to be more and more common, making them important peripheral of the Future Internet. In this paper, we'll focus our attention on the integration of Cloud and IoT, specifically the services, which is what we call the Cloud IoT archetype.[3] These Cloud IOT services are the most important notions of Future Internet for providing a common global IT Platform to combine seamless networks and networked things. Cloud Computing in IoT providesbeckoned solution for processing huge data streams and computations while facing the challenges of everything that will be connected with seamless networks in the future.The research below has showcased some manufacturing organizations who are using IoT Platforms & Services integrated with Cloud services for ease of their workflow in the field of production.
Teaching Reading Skill by Using Think Pair Share Model

The objective of this study is to figure out whether Think Pair Share based on cooperative learning improves the students’ ability in reading comprehension skill or not. Experiment quantitative is used as the research design in this study. The population of this study is the third year students at SMA 6 Banda Aceh. The writer chose one class as the sample in this study. The data was collected by using tests and the results are analyzed by using statistical formula. The result showed that the use of Think Pair Share in the teaching reading to the third year students of SMA 6 Banda Aceh was successful. The result showed that the t-score (5.79) was higher than t-table (2.021). It indicates that the students in the experimental class who are taught by using Think Pair Share get better improvement than before they were taught by using Think Pair Share.
A Large Size Image Classification Method Based on Semi-supervised Learning

Background: Semi-supervised learning in the machine learning community has received widespread attention. Semi-supervised learning can use a small number of tagged samples and a large number of untagged samples for efficient learning. Methods: In 2014, Kim proposed a new semi-supervised learning method: the minimax label propagation (MMLP) method. This method reduces time complexity to O (n), with a smaller computation cost and stronger classification ability than traditional methods. However, classification results are not accurate in large-scale image classifications. Thus, in this paper, we propose a semisupervised image classification method, which is an MMLP-based algorithm. The main idea is threefold: (1) Improving connectivity of image pixels by pixel sampling to reduce the image size, at the same time, reduce the diversity of image characteristics; (2) Using a recall feature to improve the MMLP algorithm; (3) through classification mapping, gaining the classification of the original data from the classification of the data reduction. Results: In the end, our algorithm also gains a minimax path from untagged samples to tagged samples. The experimental results proved that this algorithm is applicable to semi-supervised learning on small-size and that it can also gain better classification results for large-size image at the same time. Conclusion: In our paper, considering the connectivity of the neighboring matrix and the diversity of the characteristics, we used meanshift clustering algorithm, next we will use fuzzy energy clustering on our algorithm. We will study the function of these paths.
«ЗНАКОМОЕ НЕВЕДОМОЕ». ТВОРЧЕСКОЕ НАСЛЕДИЕ ХУДОЖНИКОВ ГРУППЫ «ЭРМИТАЖ» В КОНТЕКСТЕ ЛЕНИНГРАДСКОГО НОНКОНФОРМИЗМА

The stage of a new, comprehensive examination of unofficial art in Russia is short, but it has already accumulated significant factual and analytical material about artists, art societies, exhibitions and the processes that took place in the Leningrad non-conformist sphere. However, this material still remains insufficiently studied, and some pages of artistic life are isolated. The need to create a holistic view of diverse and ambiguous phenomena is obvious. In the article, the researcher discussed in detail the history and development of the creative association “Hermitage” as an  important part of Leningrad unofficial art of the 1950s – 1980s. The “Hermitage” group was an informal group of artists, originated in the late 1960’s under the leadership of Grigory Y. Dlugach. The path of hard work, launched by Dlugach in the Hermitage from the mid-1950s with replication of the works of the great artists of the past, transformed into the original analytical interpretation theory through three generations of his disciples-followers. The author pointed out that the analysis of the works of the old masters from the Hermitage collection contributed to the understanding of the “artistic study” principle which Dlugach used creating individual paintings in non-trivial interpretation. The researcher emphasized that Dlugach’s original principles of the analysis of the pictorial-plastic form and the non-trivial interpretation of classical art works using the method of geometric logistics formed the school’s ideological platform. The work of the “Hermitage school”, reflecting the fundamental task of the artists — an expression of the plastic idea of ​​the old master’s painting through combinations of lines, — was not limited to the Hermitage space. Undoubtedly, their museum experience and further artistic activities are worthy of detailed study.
Analysis of Document Clustering based on Cosine Similarity and K-Main Algorithms

Clustering is a useful technique that organizes a large number of non-sequential text documents into a small number of clusters that are meaningful and coherent. Effective and efficient organization of documents is needed, making it easy for intuitive and informative tracking mechanisms. In this paper, we proposed clustering documents using cosine similarity and k-main. The experimental results show that based on the experimental results the accuracy of our method is 84.3%.
ANALISIS KEAMANAN WIRELESS LAN PADA JARINGAN DENGAN AUTENTIKASI CAPTIVE PORTAL

AbstrakPenelitian ini membahas tentang analisis keamanan Wireless LAN (Wireless Local Area Network) terhadap serangan luar pada protokol Wireless Protected Access (WPA), Web Proxy, dan Virtual Private Network (VPN), yang digunakan untuk menyerang LAN.Penelitian akan dilakukan di Jaringan UNIKUNET (Jaringan Wireless Universitas Kuningan Kampus 1) yang menggunakan captive portal sebagai media autentikasi jaringan public hotspotnya. Tiga jenis perangkat lunak yang digunakan sebagai penyerang yaitu, penyerang Visual Network Stumbler, Aircrack dan Wireshark. Perangkat lunak tersebut digunakan di laptop pada jarak 5m sampai 25m dari titik akses LAN Nirkabel. Dari hasil experimen terlihat waktu tercepat direspon oleh Protokol WPA diberikan oleh penyerang Visual Network Stumbler, diikuti oleh Aircrack dan Wireshark, dan kemungkinan celah keamanan yang didapat.Kata kunci: Wireless Protected Access, Captive Portal, WLAN, Web Proxy dan Virtual Private Network�AbstractThis study discusses the analysis of Wireless LAN (Wireless Local Area Network) security against external attacks on the Wireless Protected Access (WPA), Web Proxy, and Virtual Private Network (VPN) protocols, which are used to attack LANs.The research will be conducted at the UNIKUNET Network (Kuningan University Campus Wireless Network 1) that uses captive portal as a media authentication for its public hotspot network. Three types of software are used as attackers, namely, attackers Visual Network Stumbler, Aircrack and Wireshark. The software is used on laptops at a distance of 5m to 25m from the Wireless LAN access point. From the experimental results, it was seen that the fastest time was responded to by the WPA Protocol provided by Visual Network Stumbler attackers, followed by Aircrack and Wireshark, and possible security gaps were obtained.Keywords: Wireless Protected Access, Captive Portal, WLAN, Web Proxy and Virtual Private Network�
Automatic Refactoring of Java Code Using the Stream API

For a long time, functional Java programming was not possible. However, lambda expressions appeared in version 8 of the Java language. Due to the support of standard library classes (Stream, Optional, etc.) in Java, it became possible to describe transformations over data in a functional style. Java is a rather old language with a large imperative code base written in it. In order to take advantage of the new approach, it is necessary to perform a non-trivial refactoring, which can be very tedious and error prone when applied manually. Fortunately, for a sufficiently large number of situations, this refactoring can be safely performed automatically. Using IntelliJ Idea as a platform software tool was developed that allows you to find places where it is possible to automatically convert an imperative code to an equivalent code that uses Stream API, as well as an automatic fix that allows you to make a replacement. Refactoring uses IntelliJ Idea framework to analyze Java code, and integrates into the IDE itself. One of the main criteria for the correct operation of the algorithm is the security of this transformation. The user cannot trust the tool if the transformation can change the semantics of the code. This article discusses various constraints that are imposed on code patterns so that transformation without distortion of semantics is possible. Refactoring has been tested in various libraries to verify the semantics are preserved by checking the test results before and after applying refactoring. This article will not describe the impact of using the Stream API on the performance of the application.
BUTTERFLY-ORTHOGONAL LOOP SUBDIVISION WAVELETS

In this paper, we have proposed a new butterfly-orthogonal Loop subdivision wavelet based on the lifting scheme.We use a butterfly-style local orthogonalization structure to optimize the free parameters introduced in the wavelet transforms so as to obtain a very stable and nearly semi-orthogonal wavelet.Although it takes a little more computation time than the existing Loop subdivision wavelets, the proposed wavelet possesses a better fitting quality as well as performance of denoising, as demonstrated in the experiments.Similar to the other Loop subdivision wavelets, the butterfly-orthogonal wavelet has a linear computing complexity, because all lifting operations in the wavelet transforms are of perfect in-place computing and relate to only local vertex points or edge points.The proposed wavelet analysis can be used in a wide range of applications, including progressive transmission, shape approximation, data compression and multiresolution rendering.
Adult and Continuing Education

Higher Education AbstractsVolume 56, Issue 2 p. 114-114 ADULT AND CONTINUING EDUCATION Adult and Continuing Education First published: 22 June 2021 https://doi.org/10.1111/hea.3_12166Read 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. Volume56, Issue2April 2021Pages 114-114 RelatedInformation
When the whole is greater than the sum of its parts: Multiword expressions and idiomaticity

Multiword expressions (MWEs) feature prominently in the mental lexicon of native speakers (Jackendoff, 1997) in all languages and domains, from informal to technical contexts (Biber et al., 1999) with about four MWEs being produced per minute of discourse (Glucksberg, 1989). MWEs come in all shapes and forms, including idioms like rock the boat (as cause problems or disturb a situation) and compound nouns like monkey business (as dishonest behaviour). Their accurate detection and understanding may often require more than knowledge about individual words and how they can be combined (Fillmore, 1979), as they may display various degrees of idiosyncrasy, including lexical, syntactic, semantic and statistical (Sag et al., 2002; Baldwin and Kim, 2010), which provide new challenges and opportunities for language processing (Constant et al., 2017). For instance, while for some combinations the meaning can be inferred from their parts like olive oil (oil made of olives) this is not always the case, as in dark horse (meaning an unknown candidate who unexpectedly succeeds), and when processing a sentence some of the challenges are to identify which words form an expression (Ramisch, 2015), and whether the expression is idiomatic (Cordeiro et al., 2019). In this talk I will give an overview of advances on the identification and treatment of multiword expressions, in particular concentrating on techniques for identifying their degree of idiomaticity.
Guides: Borrow and Request Materials: Interlibrary Loan

Borrowing UNCSA materials, lending policies, and billing; Purchase Requests and Interlibrary Loan.
Digital Currencies and Central Banking: A Sense of Déjà Vu

This paper examines the implications of digital currencies – both private cryptocurrencies and central bank digital currencies (CBDCs) – for central banking. We discuss some deja vu episodes from monetary history in order to obtain a clearer understanding the present and potential implications of these currencies. We find that not only the current limitations of private cryptocurrencies, but also their conceptual underpinnings, argue against their replacement of conventional money. The two main potential problems with broadly accessible (general purpose) CBDC are a digital run and an excessive involvement of a central bank in the funding of the real economy. Meanwhile, alternative reserve-backed accounts or tokens (an implicit CBDC known as Tobin’s alternative) would also be exposed to these problems, albeit in a less pronounced way. CBDC-related hopes for monetary policy to eliminate the effective lower bound constraint are found to be exaggerated, even in a cashless world. We argue that central banks’ response to the digitalisation trend should be an integrative solution which satisfies the public demand for a safe means of payment, safeguards private innovations, and ensures financial stability. We conclude that there is no observable form of CBDC that would serve as a best-choice central bank response in advanced economies. Such a response might be considered as a temporary solution (if any), however, in emerging economies with weak financial inclusion.
R++, User-Friendly Statistical Software

Statistical analysis is gradually entering all areas of society, be in academia or in the private sector. Statistical software is used by statisticians but also by non-experts (medical doctors, psychologists...). Unfortunately, this kind of software is integrated into obsolete interfaces that completely ignore the principles of HCI and are poorly adapted to non-expert users. R++ project aims to develop a modern statistical analysis software program integrated into a user-friendly interface. In this paper, we present the methodology that led us to the design of R++. We also give two examples that this methodology allowed us to achieve.
Survey Paper on Big Data based Isolation Security by Smartcard Authentication System

Big data provides users with a good deal of flexibility and convenience. However, massive information conjointly brings terribly serious security issues, particularly for enterprise information security kept within the big data. Once the information is outsourced to a third party, the information privacy has become a significant drawback, like user authentication, the integrity of data. With the addition of security measures to Big Data, strong encounter against cybercrime can be achieved [1]. A mutual authentication scheme based on the virtual smart card using hashing function for large information is proposed to resolve the matter of unlawful user's access to the big data servers and also the illegal user's access to the legal cloud servers. This paper conjointly maintains user sensitive information within the big data by using file swapping technique.Once the user accessed the information, the user information will be swapped to completely different servers so that the file can be secured and nobody can hack or theft our information.
Proof-of-CAPTCHA: A True ASIC-Resistant Consensus

In Proof-of-Work (PoW) based blockchain systems, rewards received by miners are proportional to the computation power under their control, hence they are incentivized to use powerful hardware such as ASIC.This prevents commodity computers from joining the network and keeping the system decentralized, and leads to widespread waste of computation power and electrical energy for personal benefit.In this paper, we propose a new consensus algorithm named Proof-of-CAPTCHAs (PoCA), which employs CAPTCHAs upon completion of each block computation in order to achieve an ASIC-resistant nature while preserving user anonymity.
CYBERBULLYING: EVALUATING AN INSTRUCTIONAL APPLICATION FOR SAFEGUARDING VULNERABLE USERS ONLINE

Bullying is an aggressive act on a target that is not able to defend themselves easily.Cyberbullying is bullying, when perpetrated through technology online and is a major challenge for adolescents today.Despite the abundance of literature in the area of human-computer interaction (HCI), there is limited HCI research about users with intellectual disability.This research project further evaluates Let's Be Safe, an eLearning application in development at the Institute of Art, Design and Technology, Dublin.This application aims to educate young adults with intellectual disability about cyberbullying.Twenty-two individuals with mild to moderate intellectual disability took part in the research.The evaluation investigated preferred learning modes and engagement for this user group.The study employed a mixed-methods design including observational and inquiry methods of usability evaluation.Adapted SUS self-report measures indicated that participants liked the Let's Be Safe application.The listening activity was most frequently the preferred learning modality, followed closely by the game activity.Indications are that participants would like to see more games and videos with people in the application.Observational analysis identified occurrences of positive and negative emotional engagement while using the Let's Be Safe application.Results revealed more positive emotional responses than negative emotional responses.
Reliable and Effectual Solitude Conformable Data Ownership in Cloud Computing

Cloud computing is a paradigm which provide secure and pliable infrastructure enabling the data owners to store their data and they can access from cloud servers.This paradigm reduces storage and cost of maintenance.The user loses the physical control and ownership of data which leads to certainty risks.So to label these difficulty this work proposes a reliable and effectual solitude conformable data ownership in cloud computing.Further this scheme is extended to brace multiple owners' data dynamics and batch verification.
The influence of integrating Facebook group: Administrating and teaching English writing

Writing is a basic skill which must be possessed by the students. This skill is needed in every teaching and learning process in English lesson. It is not only to express  imagination in the written language but also to develop students’ creativity, thus, good teaching writing strategy is required to increase the students’ motivation to write. The objective of this research was to find out whether or not there was any significant influence on students’ writing narrative paragraphs achievements to the students of Senior High School 12 Palembang who are taught by integrating face book group and those who are not.  Quasi experimental method was used in this research. One group experimental and one control groups were as samples. Data were collected through written tests; pretest and posttest and analyzed them using independent sample test. The result showed t-obtained was greater (13.906) than t-table (1.990) at the significance level p<0.05 with degree of freedom (df) = 56. It means that there was any significant influence on students’ writing narrative paragraphs achievements to the students of Senior High School 12 Palembang who are taught by integrating face book group and those who are not.