Reviewerly/exHarmony huggingface dataset:
Unraveling the Notre-Dame Cathedral Fire in Space and Time

Through our devices, we are able to record and share content, fomenting the generation of information about what happens around us. An example is a massive blaze that struck Notre Dame Cathedral, in April 2019, during which millions of images and videos were recorded and shared on the Internet by the media at large and everyday citizens. All content is potentially important to document our history and also as a source of information for investigations. However, in this vast pool of information, we do not promptly know how the different items connect to each other to unravel the whole story. This chapter presents how to achieve the X-coherence for an event, i.e., sort an unstructured collection of images and videos, in space and time, allowing the analysis of the corresponding event as a whole. To this end, we present machine learning techniques to automatically position each media piece in space and time, considering the Notre Dame fire as the backdrop. We employ convolutional neural networks to capture visual clues in the Cathedral’s structure and its surroundings and how the scene’s appearance alters as time progresses. Finally, this chapter also presents a comprehensive way of visualizing and exploring the organized data.
Chaotic Entanglement: Entropy and Geometry

In chaotic entanglement, pairs of interacting classically-chaotic systems are induced into a state of mutual stabilization that can be maintained without external controls and that has been shown to exhibit several properties consistent with quantum entanglement. In such a state, the chaotic behavior of each system is stabilized onto one of the system's many unstable periodic orbits (generally located densely around an associated attractor), and the ensuing periodicity of each system is sustained by the symbolic dynamics of its partner system, and vice versa. Notably, chaotic entanglement is an entropy-reversing event: the entropy of each member of an entangled pair decreases to zero during each system&rsquo;s collapse to the given period orbit. In this talk, we further discuss the role that entropy plays in chaotic entanglement. We also discuss the geometry that arises when pairs of entangled chaotic systems organize into coherent structures that range in complexity from simple tripartite lattices to more involved patterns. The talk will conclude with a discussion of future research directions.
Far Eastern State Scientific Library as an information and education center for ecological education of population

The experience of the Far Eastern State Scientific Library in ecological education and building ecological culture of population is discussed. Various services and activities as well as cooperation with government and non-government agencies and organizations are highlighted.
Protests and Publicity: Banning Non-Indian Authors

In official circles in 20th-century colonial India, to ban or not to ban, that was the question. In a colonial context, and against the backdrop of an anti-colonial movement, it is all too easy to see censorship of publications operating along racial lines, and to assume that only publications by Indian authors were subject to censorship. However, non-Indian authors—former colonial officials and soldiers, journalists, missionaries and travellers—writing in English on matters concerning India commanded audiences in their home countries in addition to being read by an influential section of the Indian population. Precisely because they escaped colonial stereotyping about ‘seditious natives’, non-Indian authors’ words carried a greater illusion of neutrality, and sometimes more weight. It was one thing to ban books written by leaders and ideologues of anti-colonial movements and quite another to ban those written by well-known Western writers. The former could be justified as an administrative decision made in the interest of preserving law and order; the latter smacked of a cover-up. By reconstructing the question of—and the controversy over—the possible banning of such books by the colonial state in the 1920s–1930s, it becomes possible to question commonly held assumptions about the conduct of the censorship of publications in late colonial India.
BENIN: Talon Wins

Africa Research Bulletin: Political, Social and Cultural SeriesVolume 58, Issue 4 p. 23121C-23123A Internal Developments BENIN: Talon Wins First published: 24 May 2021 https://doi.org/10.1111/j.1467-825X.2021.09953.xRead 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. Volume58, Issue4May 2021Pages 23121C-23123A RelatedInformation
SoftMRP: a Software Emulation of the Magnetic Resonator Piano

The Magnetic Resonator Piano (MRP) is a relatively well-established DMI which significantly expands the capabilities of the acoustic piano.This paper presents SoftMRP, a Max/MSP patch designed to emulate the physical MRP and thereby to allow rehearsal of MRP repertoire and performance techniques using any MIDI keyboard and expression pedal; it is hoped that the development of such a tool will encourage even more widespread adoption of the original instrument amongst composers and performers.This paper explains SoftMRP's features and limitations, discussing the challenges of approximating responses which rely upon the MRP's continuous sensing of key position, and considering ways in which the development of the emulation might feed back into the development of the original instrument, both specifically and more broadly: since it was designed by a composer, based on his experience of writing for the instrument, it offers the MRP's designers an insight into how the instrument is conceptualised and understood by the musicians who use it.
Shaping

The shaping of scope for an offensive security engagement is the determination of what will be assessed and when it can happen between the customer and the assessors. These two attributes are closely tied to each other, and constraints on one will affect the feasibility of the other. Shaping the “what” of the assessment scope is driven largely by the perceived or actual needs of the customer. The “when” refers to the schedule and window for assessment, and is affected by the availability of resources. Resource limitations impacting the “when” of assessment are typically financial in nature from the customer and are operationally specific from the red team. This chapter provides an understanding of the varied aspects involved in determining properly the appropriate scope for offensive security assessments and the factors that shape the outcome of this process.
Enhancing purchase decision using multi-word target bootstrapping with part-of-speech pattern recognition algorithm

In this research work, multi-word target related terms are extracted automatically from the customer reviews for sentiment analysis. We used LIDF measure and have proposed a novel measure called, TCumass in iterative multi-word target (IMWT) bootstrapping algorithm. In addition, part-of-speech pattern recognition (PPR) algorithm has been proposed to identify the appropriate target and emotional words from multi-word target related terms. This article aims to bring out both implicit and explicit targets with their corresponding polarities in an unsupervised manner. We proposed two models namely, MWTB without PPR and MWTB with PPR. Thus, the present research illustrates the comparison between the proposed works and the existing multi-aspect bootstrapping (MAB) algorithm. The experiment has been done based on different data sets and thereafter the performance evaluated using different measures. From this study, the result expounds that MWTB with PPR model performs well, having achieved the precise targets and emotional words.
A mixed-coding adaptive differential evolution for optimising the architecture and parameters of feedforward neural networks

This paper presents an adaptive differential evolution with mixed-coding strategy to evolve feedforward neural networks (FNNs). This algorithm with adaptive control parameters which can handle effectively binary variables and real variables, is used to optimise simultaneously FNN architecture and connection parameters (weights and biases) by a specific individual representation and evolutionary scheme. The performance of the algorithm has been evaluated on several benchmarks. The results demonstrate that the proposed algorithm can produce compact FNNs with good generalisation ability.
METODE ROUGH SET UNTUK MENGANALISA PROBLEMATIKA GURU DALAM MENGGUNAKAN MEDIA PEMBELAJARAN BERBASIS KOMPUTER

The development of various forms of information technology, one of them in the field of Artificial Intelligence in the form of data mining. Data mining is a process that employs one or more computer learning techniques (a machine learning) to analyze data and extract knowledge (knowledge) automatically. Data mining is used to analyze the problems of teachers in the use of computer-based learning media. To find out the problem of teachers in the use of computer-based learning media, this study used the calculations in the form of data mining by the method of rough set. Applying data mining rough set to explore the knowledge, which is a source of information in decision making. With this method rough set problems that occurred in the teacher can be overcome in the use of computer-based learning media. Each school can determine the development of teachers in the use of learning media computer technology.
Changing Technology, Emerging Development: Sustainable Development in Rural India through mobile telephony

The correlation between technologies, sustainable development, socio-economic issues have assumed significance in the changing global world.In the new millennium, there is no denying the fact that information and communication technologies play a key role in the growth of a country.There is substantial evidence that technology has power to harbor progress as it affects many dimensions of societal and economic aspects like education, health, quality of life.It is pertinent to develop an understanding about the methods and techniques in which technology can be utilized to respond to the emerging paradigms of development in a responsible manner.Recent findings show that ICT plays a vital role in advancing economic growth and reducing poverty.ICT can be used to directly influence the productivity, cost effectiveness and competitiveness in industries.On the other hand, the results for not being able to recognize the benefits of ICT can also devastating.It can be inferred that without a strategic integrated approach it will be intricate to take advantage of the potential ICT driving the socioeconomic development.Originally built by Massachussetts Institute of Technology and funded by Gates Foundation, UN Democracy Fund and others, CGNet Swara as an online website was created with the goal of bringing development through mobile phones and interactive voice recording.CGNet Swara as a citizen journalism platform has huge implications for creating awareness, improving governance and spurring development not only in rural India but in other developing countries which are affected by poverty and poor social indicators.This paper focuses on the on the role and extent of information and communication technology (ICT) in socio economic development, highlighting the utilization of technology for sustained development, the reach of technology, the access to it in terms of use and consumption and the potential of technology as an enabler in the developing world.
HVAC and Audio Control System using Gesture Recognition in Cars

Gesture recognition technology entails a wide variety of touch-free interaction capabilities which controls notably contribute to easing our interaction with devices, reducing the need for a keys, or button. To recognize the different hand gestures for different control system in cars is done through image processing. A new method for the hand gestures is that, the hand part gets extracted from the background using background subtraction algorithm using raspberry pi, there is no need of buttons for using of some equipments in different vehicles by using an advanced technology. In gesture recognition technology we can control the audio and HVAC system automatically instead of searching for a particular button, which causes distraction while driving.
A Methodology for the Analysis of Consistent Hashing

The synthesis of IPv4 is a practical obstacle. After years of unproven research into the World Wide Web, we demonstrate the synthesis of access points. In our research we use Bayesian methodologies to argue that the much-touted empathic algorithm for the analysis of superblocks by Takahashi et al. [19] is impossible.
Plugging Middleware

Being able to change the behavior or to extend the functionality of a piece of software, without changing it from the inside, is pretty neat. In this chapter, you will learn how to plug middleware in the request pipeline of Dapr to deal with things like rate limiting, authentication, and authorization.
Data encoding and cost optimised distribution for efficient and secure storage in cloud federation

Cloud federation is the future paradigm of computing which can reduce cost and avoid vendor lock-in problem. Cloud providers are now collaborating for increasing revenue and building trust among customers and indirectly help in better resource utilisation of every service provider in the federation. In the proposed framework all collaborating service providers share their storage resources and use single sign-on federated identity management model which will reduce the overhead of maintaining multiple credentials and strengthen the authentication process. Initially, files are encrypted with the secret key created with client id, session token and a random number which will improve the data security and based on the service level selected for files erasure codes are applied, which will reduce storage overhead as compared to the traditional replication techniques. Hence overall reliability, availability and security of data stored in the cloud federation is improved.
A Prologue of Git and SVN

Version Control Software or Revision Control Software are the most important things in the world of software development. In this paper, we have described two version control tools: Git and Apache Subversion. Git comes as free and open source code management and version control system which is disseminated with the GNU general public license. Apache Subversion abbreviated as SVN is one amongst a software versioning and revision control systems given as open source under Apache License. Git design, its functionality, and usage of Git and SVN are discussed in this paper. The goal of this research paper is to accentuate on GIT and SVN tools, evaluate and compare five version control tools to ascertain their usage and efficacy.
Innovation in Education: Tools and Technologies

The article presents a summary of the analytical research into the development of individual cognitive maps among two categories of students — students of civil and military higher education institutions. The purpose of the research was to study the vision of their own career prospects after graduation from the university. The researchers focused on the behavioral reactions and self-evaluation patterns reflected in individual cognitive maps of reality, the socio-psychological analysis of which was tested with the methodology developed by G.N. Malyuchenko and V.M. Smirnova. It has been established that the “chaotic” model is dominant among students of civil higher education institutions, while the “organismic” model is more typical of military students. It has been found that individual cognitive maps are largely dependent on the self-evaluation of a particular individual, which indicates the possibility of correction of the relationship between individual world view and personal self-evaluation. Cognitive maps and mindsets can become more productive, whereas latent or potential needs for self-fulfillment are likely to transform into active aspirations for self-study and forming an image of the future.
Crime Mapping with Automatic Classifier System using Machine Learning and GIS

Crime rate is increasing over the years, and it remains a great challenge for the government to track the crimes convicted. Each area has a pattern of which type of crime is happening and the crime knowledge is inevitable to control from the crime happening. Crime occurs in a sequence leaving hidden patterns. Thus the crime data is to be processed for finding underlying patterns, this project finds the patterns and insights about the crime data. Majorly being an unstructured data, this is been preprocessed and checked for future values. Crimes convicted are collected from a particular area (Indore in our case) and checked for predictions using Multi class Classification Algorithms like Random Forest and the future crime to be convicted in an area is predicted and visualizations are made accordingly. Many classification algorithms like support vector machines, decision trees, and random forest are used to classify and random forest shows better accuracy. Features to be given as input and output are selected by visualizing the data by graphs and plots.
Ensemble Classification Method for Credit Card Fraud Detection

Credit card frauds are on the rise and are getting smarter with the passage of time. Usually, fraudulent transactions are conducted by stealing the credit card. When the loss of the card is not noticed by the cardholder, a huge loss can be faced by the credit card company. In the existing work, it has been found that the researchers have utilized Voting based method to identify credit card frauds. The problem with voting based method is that they are more complex and more time consuming. In this research work, a hybrid approach based on KNN and Naive Bayes for the detection of credit card frauds. KNN will be used as the base classifier and it will return predicted result. The predicted result will be provided as input to the Naive Bayes classifier which will generate the final result. The proposed model will be compared with existing techniques and the results are analyzed in terms of recall, precision, accuracy and execution time.
Applied Probability Society Student Paper Competition: Abstracts of 2020 Finalists

The journal is pleased to publish the abstracts of the winner and finalists of the 2020 Applied Probability Society’s student paper competition. The 2020 student paper prize committee was chaired by Amy Ward. The 2020 committee members are (in alphabetical order by last name): Alessandro Arlotto, Sayan Banerjee, Junfei Huang, Jefferson Huang, Rouba Ibrahim, Peter Jacko, Henry Lam, Nan Liu, Yunan Liu, Siva Theja Maguluri, Giang Nguyen, Mariana Olvera-Cravioto, Lerzan Örmeci, Erhun Özkan, Jamol Pender, Weina Wang, Amy Ward (chair), Linwei Xin, Kuang Xu, Galit Yom-Tov, Assaf Zeevi, Jiheng Zhang, Zeyu Zheng, Yuan Zhong, Enlu Zhou, and Serhan Ziya.
Assessment of a Network Infrastructure: A Basis for New Network Topology Proposal

Colegio de Sebastian (CDS), being a young academic and business entity, is in the process of developing its operations to serve its clients' satisfaction. This means that it must adapt itself to changes and improvements to survive the tough competition of private institutions. Effective communication in any business is a vital consideration that an owner must prioritize. Most growing businesses today are inclined to the use of technology to enhance the effectivity of their communication, and this entails the structuring of their computer network. In line with this, an assessment of the current network infrastructure was done at CDS to determine the need for new network topology. Through conducted surveys, CDS' network infrastructure was found out to have problems in terms of its topology that stems out to some issues like connectivity intermittence. To be able to provide a solution to such problem, a VLAN –based topology was proposed that includes topology that aims to achieve the four characteristics of good network architecture which are fault tolerance, scalability, quality of service and security. This research effort is to emphasize that properly planning an institution's network infrastructure is essential to serve its purpose optimally.
Quantum Teleportation

Abstract One interesting application of entanglement is quantum teleportation , which is a technique for transferring an unknown quantum state from one place to another. In science fiction, teleportation generally involves a machine scanning a person and another machine reassembling the person on the other end. The original body disintegrates and no longer exists. Similarly, quantum teleportation works by “scanning” the original qubit, sending a recipe, and reconstructing the qubit elsewhere. The original qubit is not physically destroyed in the science fiction sense, but it is no longer in the same state. Otherwise, the previously mentioned no-cloning theorem—which states that a qubit cannot be exactly copied onto another qubit—would be violated. 1 As we will see, the “scanning” part poses a problem which can only be solved by leveraging quantum entanglement.
A Narrative Method for Evaluating Documents Similarity based on Unique Strings

A precision and efficiency model of the similarity computing of texts plays an important key of duplicate documents detection. In this paper, we focus on presenting and evaluating documents similarity based on a new method viaen coding text into unique strings, called Deoxyribo Nucleic Acid (DNA) sequences. Additionally, the proposed method including an algorithm for marking as well as coloring similar paragraphs in the test document compared to other documents available in the data warehouse and developing a system for copy detection are investigated. Experimental results show that this novel approach is highly accurate for areal dataset taken from PAN. The results corroborate the advantages of the novel approach with average of 99%accuracyfor the text similarity detection with a selection threshold of ε=10-12.The results of this study are applied to implement a practical system for evaluating documents similarity at the University of Danang, Vietnam
What is Quantum Computing and How it Works

Companies such as Intel as a pioneer in chip design for computing are pushing the edge of computing from its present Classical Computing generation to the next generation of Quantum Computing. Along the side of Intel corporation, companies such as IBM, Microsoft, and Google are also playing in this domain. The race is on to build the world’s first meaningful quantum computer—one that can deliver the technology’s long-promised ability to help scientists do things like develop miraculous new materials, encrypt data with near-perfect security and accurately predict how Earth’s climate will change. Such a machine is likely more than a decade away, but IBM, Microsoft, Google, Intel, and other tech heavyweights breathlessly tout each tiny, incremental step along the way. Most of these milestones involve packing more quantum bits, or qubits—the basic unit of information in a quantum computer—onto a processor chip ever. But the path to quantum computing involves far more than wrangling subatomic particles. Such computing capabilities are opening a new area into dealing with the massive sheer volume of structured and unstructured data in the form of Big Data, is an excellent augmentation to Artificial Intelligence (AI) and would allow it to thrive to its next generation of Super Artificial Intelligence (SAI) in the near-term time frame.