Reviewerly/exHarmony huggingface dataset:
Challenging the Network Privacy of Beaker Browser

The Internet was introduced as decentralized platform for users to share data and communicate. However, the information on Internet is now handled and controlled by some global corporations, which gives them complete control of user data. The key to this problem was a decentralized web with client-only architecture that would give user more control over their information. Beaker Browser is one such initiative that allows peers to communicate and share websites without a central server intervention. Beaker works on a peer-to-peer technology and the websites hosted on it are digitally signed using a private key.The public key is then used as a URL. If the public key is shared only within a closed group, the website will remain private. While the web technology is on the cusp of being renewed, it has become all the more necessary to understand the threats associated with it. In this paper, we survey the features of Dat protocol and Beaker Browser. We also introduce a proof of concept that challenges the network privacy of the websites hosted on Beaker.
Title and Author Recognition from Book Image using Machine Learning Approach

The title of this theory is "Title and Author Recognition of Book from Image". During this proposal, I really have been arranged a strategy to show this mental development into an image that may precisely locate the books. It portrays the opposition (usual way of doing things, dataset, and investigation system). Book acknowledgment and evacuation are utilized in an exceptionally various picture measure framework like content observations, scene translations, and item acknowledgment. Overlooking the presence of Books in pictures will cause major issues like item combining, object misfortune, mixing up, and adjustment make-up in book acknowledgment applications like area, group examination, and pursue. A few books had it arranged in books, related with the obtaining and expulsion of pictures and recordings. Near testing and ability working of existing systems inside the video has effectively been reportable, in any case, we tend to don’t have a comparative simply on the off chance that the book stays standing. This paper gives the entire existing pride location overview and expulsion procedure reportable inside the instance of the still picture. Masses and measures of the picked procedures are tried. One of a kind to our data the entirety of this can be an exceptional starting article talks about manners by which to sight and remove books from the genuine picture.
Improved SPRINT Algorithm and Its Application in Sports Health Data Analysis

In order to quickly and accurately determine the physical condition of human body by using conventional test data, the concept of pure interval is introduced, and a trend selection method is proposed. On this basis, sprint algorithm based on trend selection (testsprint) is proposed. Based on the basic test data such as height, weight and grip strength, the algorithm can quickly establish the decision tree of human physical fitness, and provide the basis for rapid determination of human physical health status. The experimental and theoretical analysis results show that the proposed testsprint algorithm can effectively provide decision-making basis for the analysis of human health status, with high accuracy, and the time and space cost is smaller than the original sprint algorithm.
Virtualization Basics

Prior to the virtualization era, the only way to get full physical servers provisioned was via IT. This was a costly and time-consuming process. One of the major drawbacks of this method was that the machine’s resources—like the CPU, memory, and disks—remained underutilized. To get around this, the notion of virtualization started to gain traction.
Analyzing Vietnamese Legal Questions Using Deep Neural Networks with Biaffine Classifiers

In this paper, we propose using deep neural networks to extract important information from Vietnamese legal questions, a fundamental task towards building a question answering system in the legal domain. Given a legal question in natural language, the goal is to extract all the segments that contain the needed information to answer the question. We introduce a deep model that solves the task in three stages. First, our model leverages recent advanced autoencoding language models to produce contextual word embeddings, which are then combined with character-level and POS-tag information to form word representations. Next, bidirectional long short-term memory networks are employed to capture the relations among words and generate sentence-level representations. At the third stage, borrowing ideas from graph-based dependency parsing methods which provide a global view on the input sentence, we use biaffine classifiers to estimate the probability of each pair of start-end words to be an important segment. Experimental results on a public Vietnamese legal dataset show that our model outperforms the previous work by a large margin, achieving 94.79% in the F\(_1\) score. The results also prove the effectiveness of using contextual features extracted from pre-trained language models combined with other types of features such as character-level and POS-tag features when training on a limited dataset.
A Preliminary Study on Handwriting Classification Using Pen Pressure Patterns

Writing with a finger or a stylus pen on a tablet, especially in the case of signing, has been more and more popular in our ordinary life. The necessity of the analysis of handwriting data acquired online for forensic purposes has also been more and more important. There has been, however, a very small number of researches conducted on online handwriting data analysis from the standpoint of forensic document examination. Writer classification experiments using the dataset collected both offline and online for forensic purposes were conducted in this paper. Japanese handwriting samples of four categories of Kanji characters, which were acquired both online and offline, were combined to be a &#x201C;signature&#x201D; of a Japanese person, analyzed and compared the classification results between online and offline. Online data used for the experiments were pen tip trajectory and pen pressure whose pattern was expressed on the trajectory as a map. The classification was done using LeNet. The results showed over 95&#x0025; accuracy in both online and offline conditions, which were fairly good. The results suggested the availability of online data for forensic handwriting classification.
DEN-DIS: “May Get Life in Future” - Hybridized Data Stream Clustering Framework in Market Research Arena

Data streams pose several computational challenges due to their large volume of massive data arriving at a very fast rate. Data streams are gaining the attention of today’s research community for their utility in almost all fields. In turn, organizing the data into groups enables the researchers to derive with many useful and valuable information and conclusions based on the categories that were discovered. Clustering makes this organization or grouping easier and plays an important role in exploratory data analysis. This paper focuses on the amalgamation of two very important algorithms namely Density Based clustering used to group the data and the dissimilarity matrix algorithm used to find the outlier among the data. Before feeding the data, the algorithm filters out the sparse data and a continuous monitoring system provides the frequent outlier and inlier checks on the live stream data using buffer timer. This approach provides an optimistic solution in recognizing the outlier data which may later get reverted as inlier based on certain criteria. The concept of DenDis approach will pave a new innovation world of considering every data which “May Get Life in Future”.
Correlation of Sentiment Analysis between Tweets and Newspaper Headlines Using NLP

Twitter has grown in popularity during the past decades. It is now used by millions of users who share information about their daily life and their opinions on certain topics in the media. In order to automatically process and analyse this data, applications can rely on analysis methods such as sentiment analysis. This study aimed to find correlations between the sentiments of tweets and newspaper headlines in the Namibian context. It focused on using Twitter because of its limitation in the length of the text content posted on this platform.
Aliens Attack Version 2

This chapter puts into practice the lessons regarding defining compound data of finite size. It introduces subtypes, throwing errors, and testing error messages.
Identification of Baby's Feet Using Principal Component Analysis (PCA) Method Character Extraction with K-Nearest Neighbor (KNN) Classification in Matlab Application

Biometric recognition systems or human identification are very important in security access for identification and verification systems. The biometric recognition system can be used as an identification system based on the characteristics possessed by the body part of each individual. The soles of the feet can be used for identification because the soles of the feet have certain and unique characteristics which include major lines, protrusions, small dots, single points, and textures. The introduction of biometrics in babies is still conventional, which is a standard operating procedure such as attaching bracelets on baby's feet and imprinting or inking on the soles of baby's feet which are affixed to paper and are very vulnerable to the risk of damage or loss of data, there is a need for a system that can store data automatically digital and able to do the baby identification process. The Principal Component Analysis method is used for the extraction process of the characteristics of the baby's feet. The classification uses the K-Nearest Neighbor (K-NN) method with the euclidean distance approach. Tests were carried using 120 images of baby feet, there are 20 classes, each class contains 3 images of the right foot and 3 images of the foot of the left foot, and a dataset of 280 training images. The highest accuracy result obtained in system testing is 91% with a computation time of 5.63 seconds using the Principal Component Analysis method with the K-Nearest Neighbor (K-NN) classification.Keywords: Footprint, Feature Extraction, Principal Component Analysis, K-Nearest Neighbor.
AESTHETICS OF GLITCH ART: ORIGINS AND MEANINGS

The relevance of the article is associated with the rapid development of various forms of digital art, due to the increasing role of information technologies, which have caused fundamental transformation processes in the modern cultural environment. The article is devoted to the origin and value-semantic foundations of such a direction of modern digital art as glitch art. The origins of this direction, which lies in the aesthetics of Futurism, experiments in concrete music, as well as in the technique of deconstruction and recombination of parts of the original image in Cubism, are considered. Examples of glitch art are given — "Tali Hinkus" by Paul Hertz, "Glitch Diva" by Elena Romenkova, "White" (from the "Utopia" series) by Viktor Makurin, parallels with cinema works ("The Matrix" directed by Wachowski) are drawn. An important property of digital art is its ability to fill the global information space with new meanings and values: it is both a protest against total technocracy and digitalization, and a fixed gap in collective techno-hypnosis, and a display of the processes of the human subconscious. The study of this phenomenon allows to take a critical look at the interaction of the physical and digital world within modern culture, to identify the prospects for this interaction.
A Study on the figures of military unit slogans of the ROK Navy

This paper aims to analyze various figures of military unit slogans of the ROK Navy. For this purpose, total of 136 unit slogans of battleships and ground units were selected for analysis. The 227 figures, which were applied to the selected units slogans, were divided into 2 figurative modes. The first was the figures of thought (53%) and the second was the figures of language (47%). The former then was classified as trope, figures of association, figures of citation, and the latter was classified as figures of structure and figures of rhyme. Among the figures of thought, for the trope, the metonymy was mostly used. For the figures of association it was the hyperbole, and for the figures of citation the allusion. And among the figures of language, for the structure, the ellipsis was mostly used and for the figures of rhyme the assonance. The most preferred figures among military unit slogans was the hyperbole, which was represented in 48 slogans, accounting for 35.3% of the total. This type of rhetorical devices demonstrates the combat power and the military spirit of the unit, and emphasizes their pride, while envisioning a victory in a battle.
ANALISA PENGARUH PELATIHAN MEDIA PEMBELAJARAN ONLINE PADA GURU SEKOLAH DASAR NEGERI 2 KAWAN BANGLI

With the current outbreak of the corona virus, all sectors must start to improve so that they can survive during a pandemic, including the education sector. The teaching and learning process carried out during a pandemic situation like this is carried out using an online system and distance learning. Teachers must be able to provide facilities so that students can absorb the material optimally. Another problem that arises is that not all teachers are able to implement the distance learning system and also using the applications or technologies that support distance learning system. To solve this problem, the school needs to get the training of how to make a distance learning system media and in this case the school cooperates with STMIK STIKOM INDONESIA (STIKI) for the training. The training materials provided are google classroom training, google form and training on making the learning videos. The results of the analysis were obtained from the pretest and posttest questionnaires which were described descriptively. After receiving the training, most of the teachers will switch to use the Google Classroom media instead of WA social media, because 100% of the teachers stated that Google Classroom is very helpful in supporting online learning. In addition, according to the posttest questionnaires, 8.3% of the teachers understand very well about the features contained in Google Classroom, 41.7% understand it well and 50% are understand it quite well, meaning that most of the teachers understand the use of Google Classroom. The training also received a good responses from SDN 2 Kawan School and it will be applied to support their distance learning system.
Tweets sentiment analysis using multi-lexicon features and SMO

Nowadays, people use social networks extensively to share their opinions about events and entities in personal life, politics and business. Twitter sentiment analysis aims at automatic identification and extraction of such opinionated data, gaining the attention of many researchers. Twitter gives a good opportunity to explore mass data, and it opens challenges of processing big data, and automatic identification and extraction of subjective information from short texts. Many methods and resources have been proposed in literature for automatic identification of subjective information from natural language texts. In this paper, we have proposed a fast mode of polarity detection using multi-lexicon features. The binary-valued multi-lexicon features save time and space for handling them for large data. Furthermore, we have used the modified-SMO with Apache Spark to process large datasets effectively. The experiments show that the method supports high scalability, and it improves the efficiency of the polarity detection.
Impact of Corporate Social Responsibility on profitability of banks in Pakistan: Application of GMM Approach

The present study investigates the effects of corporate social responsibility (CSR) on financial performance of commercial banks in Pakistan employing the generalized method of moments (GMM) estimator on a panel data. A diverse sample of 25 banks is selected for the analyses for a period of 11 years (2010-2020) based on consistently available data. In addition to the CSR index, some bank-specific and macroeconomic variables are used as control variables to test for the effects of CSR initiatives on profitability of banks in Pakistan. Our findings demonstrate that the CSR drives and commitments on social expectations reward the banks with larger profit margins. Consequently, the results tend to validate the stakeholder theory where socially responsible enterprises lead towards greater financial performance. The control variables like capital intensity, credit risk, bank size, liquidity, age of the bank, proportion of non-executive directors, tangibility and GDP growth divulge mixed results. The diversity in results propose a number of policy and managerial implications both for policy makers and banks managers.
Archives Development of Cultural Objects based on 3D Documentation Method for Digital Museum

Cultural objects are essential resources to manage because they show the identity of society.Therefore this is one of the crucial aspects that are the target of researchers.As tangible objects, cultural objects cannot separate from the potential for damage or even loss.So far, it has been archived through physical museums, and with the help of technology, museums are developing in digital form nowadays.The existence of a digital museum is motivated by the development of documentation methods applied in archiving cultural objects-this study discusses 3D documentation using the photogrammetric method in the field.Photogrammetry is a 3D documentation method that is easy and economical, in which information is retrieved by taking pictures of objects from every angle.In previous research, experiments with this method were carried out on representative samples and proved that photogrammetry produces good data quality and can be used as a standard for digital preservation.This study aims to support previous results according to real-world conditions for digital preservation purposes and used on cultural objects and to help other researchers collect data in the field for digital preservation purposes.Plered, Purwakarta, pottery and decorative ceramics chosen as an object study.The existing variety of objects are developed following the production technique of the Plered community.The objects' varieties that exist now result from developing production techniques that the Plered community has owned from generation to generation.The study suggests alternatives method that supports the documentation process, in which photogrammetric procedures are suited for different field conditions.The process to archive cultural objects based on samples of study are discussed.
REGULAR COMPUTATIONAL STRUCTURE FOR DATA RANKING

The article discusses the functionality of a processor with a regular structure, the structural diagram is showed. Processor contains register memory, data memory, rank memory, an array of mask elements, a control unit, and an array of indicators. The data memory contains an array of input counters, and the rank memory contains an array of output counters. The processor not only performs sorting, but also has the ability to visualize the results of ranking sorted elements of the input array of numbers due to the display block, which contains rank memory and an array of indicators. The regularity of the processor structure is realized in the horizontal and vertical directions. This will make it possible to effectively place it in an FPGA chip with the possibility of modular expansion. The features of the functioning of the processor for sorting with ranking are analyzed, which makes it possible to speed up the processing process by using high-speed decrement/increment operations. These operations are applied according to an array of numbers and an array of ranks. The features of the sorting process in the processor are described and a block diagram of the algorithm is presented. The processor implements an alternative approach to vertical data processing, namely, parallel-vertical sorting of an array of numbers. The functional diagram of the mask element, an array of which plays the main role in the formation of the ranks of the sorted elements of a numeric array, is considered. The diagram of the connections of the chip of the initial counter and the seven-segment indicator, which are the components of the display block of the processor, is presented.
Link und Codes für das Downloadmaterial

No AccessLink und Codes für das Downloadmaterialhttps://doi.org/10.13109/9783666453311.112SectionsPDF/EPUB ToolsAdd to favoritesDownload CitationsTrack Citations ShareShare onFacebookTwitterLinkedInRedditEmail About Previous chapter FiguresReferencesRelatedDetails Download book cover 1. AuflageISBN: 978-3-525-45331-5 eISBN: 978-3-666-45331-1HistoryPublished online:April 2021 PDF download
Power to the People: Empowered Democracy

After explaining why populists are not committed in principle to solely plebiscitary democracy, this chapter explores recent innovations in democratic design that allow for expanded participation by the people in their own governance. A thought experiment about direct popular design of responses to the Covid-19 pandemic is followed by a detailed analysis of referendums that acknowledges some difficulties associated with them, including the possibility of bad design and the risk that majorities will override minority rights but explains that the anti-institutionalism said to be associated with populism does not preclude populists from developing and implementing “best practices” for referendums, always on an ad hoc and contextual basis. The chapter then briefly describes deliberative polling and citizen assemblies, concluding with case studies of direct popular participation in constitutional reform in Ireland and Iceland.
Using Reflection

In this chapter, I describe the Go support for reflection, which allows an application to work with types that are not known when the project is compiled, which is useful for creating APIs that will be used by other projects, for example. You can see extensive use of reflection in Part 3, where I create a custom web application framework. In this situation, the code in the application framework doesn’t know anything about the data types that will be defined by the applications it is used to run and has to use reflection to get information about those types and to work with values created from them.
SMART Public Enterprises using Semantic Knowledge Management

The paper highlights the issue of Administrative style using New Administrative Management by merging Psychological Style and IT infrastructure support. The paper proposes an elaborated Transformation Process using Semantic Knowledge management through Ontology. The tool used in the transformation process is DROOL.