Reviewerly/exHarmony huggingface dataset:
M3HP: An Efficient Secured Data Transmission using the Human Password Generation Solution

One of the most important and essential tasks in all kinds of online information transmission system is security. In recent days mutual authentication and authorization are used for secured communication and data transmission. Most of the public and private networks are insecure networks. Various existing researchers proposed various secured protocols using various key cryptographic methods, whereas the computational, time and cost, complexity is more and utilize more memory space. Hence, the existing security protocols cannot be used as fast and efficient internet-based applications. To overcome the above-said issues, this paper proposed a Multi-Stage Multi-Model Human Password (MMMHP-M3HP) generation framework to provide a highly secured data transmission in online applications. The M3HP framework generates a human password is by combining various data models like numerical, alphabets, alpha-numerical and images for authorizing the end users in various stages of the applications. This is so-called Multi-stage and Multi-Model security. Each time user enters into the application, the password is regenerated and cross verified to increase the security level.
Special Issue on “Decision Support: Combining Technology and Algorithms to Solve Complex Problems”

International Transactions in Operational ResearchVolume 29, Issue 2 p. 1328-1329 Call for Papers Special Issue on “Decision Support: Combining Technology and Algorithms to Solve Complex Problems” First published: 19 October 2021 https://doi.org/10.1111/itor.12820Read 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 onFacebookTwitterLinked InRedditWechat No abstract is available for this article. Volume29, Issue2March 2022Pages 1328-1329 RelatedInformation
The future of access to data for science, technology and innovation

This chapter draws conclusions from the preceding work and proposes possible ways forward for the future of access to data for science, technology and innovation. It starts by summarising the policy issues identified and infers implications for policy makers. It concludes by providing potential scenarios and a view of potential future developments in this policy field.
Secrets

Sooner than later, a service will have to use one or more secrets to access other systems – whether it is an API key, a password, or something sensitive. In this chapter, you will learn what challenges the secrets impose on your applications and what are the bad practices that you have to stay away from. After a short introduction about what secret managers are and what benefits they bring to the table, you will learn how Dapr simplifies the retrieval of secrets with the Secrets building block. Next, you will learn what secret stores are supported and how you can access them by either referencing secrets right in the Dapr component manifests or by calling the Secrets API from your services. Later, you will see how easy it is to use Kubernetes Secrets and how to use Azure Key Vault if you want to back away from using solely relying on Kubernetes. To wrap up the chapter, I will show you how you can control the access of Dapr applications to secrets.
Towards Physical Implementation of Quantum Computation

The future of computational speedup is no longer in the integrated circuits but in quantum phenomena.The emergence of Peter Shor's factoring algorithm resulted in a renewed interest in the field of computing.This paper focuses on the implementation of quantum computing from the hardware perspective by reviewing literature on the various technical requirements involved in the physical implementation of quantum computation.The David Divienzo criteria were examined as a necessary but not sufficient requirement in the implementation of quantum computing.The structure of existing quantum computer prototypes implemented by D-wave, Intel, Google, and IBM was also discussed.The paper also considered the significant advantages that quantum computers have over classical systems.The popular quantum algorithms and quantum gates were studied.Some examples of implementation of quantum computers using trapped ion, superconducting qubits, nuclear magnetic resonance, and quantum dots were also explored.
Quantum Dot Gate FET Based Multi-Value Logic Sequential Circuits

The design of multi value logic sequential circuits based on QG-FET (Quantum dot Gate Field Effect Transistor) is discussed here. The QG-FET produces an intermediate state in between the two stable states(i.e.) ON &amp; OFF, this is happening due to change in the threshold voltage over this range. The design of various sequential circuits using QDGFET which includes ternary D-flipflop and ternary right shift register is discussed. The proposed design of sequential circuits using QDGFET results an improved circuit parameter and less circuit elements in the implantation. The three state QG-FET will increase the bit handling capability of the device due to increase in number of states. So that, with less circuit elements at a time we can handle more number of bits.
Lattices and Symmetries

Modern Condensed Matter Physics brings together the most important advances in the field of recent decades. It provides instructors teaching graduate-level condensed matter courses with a comprehensive and in-depth textbook that will prepare graduate students for research or further study as well as reading more advanced and specialized books and research literature in the field. This textbook covers the basics of crystalline solids as well as analogous optical lattices and photonic crystals, while discussing cutting-edge topics such as disordered systems, mesoscopic systems, many-body systems, quantum magnetism, Bose–Einstein condensates, quantum entanglement, and superconducting quantum bits. Students are provided with the appropriate mathematical background to understand the topological concepts that have been permeating the field, together with numerous physical examples ranging from the fractional quantum Hall effect to topological insulators, the toric code, and majorana fermions. Exercises, commentary boxes, and appendices afford guidance and feedback for beginners and experts alike.
Insights on Schemes towards Image Counterfeit Attacks &amp; their Effectiveness

This paper reviews significant schemas pertaining to image forensics where the prime emphasize has been laid towards exploring the mechanisms which identify image counterfeit with higher accuracy. The study reviewed the prime contribution published in the last four years and also addressed the unsolved research problems which are needed to be objectified. The extraction of the research gap further extensively elaborated, which identify the gap needed to be filled up. The extensive review of literature also provides better insight into the design aspects associated with the conventional techniques which are defensive against counterfeit image attacks. The future direction of this investigational study aims to come up with a solution model which can address the accuracy and complexity problems which exist in the conventional system.
Similarity and symmetry measures based on fuzzy descriptors of image objects’ composition

The paper describes a method for measuring the similarity and symmetry of an image annotated with bounding boxes indicating image objects.The latter representation became popular recently due to the rapid development of fast and efficient deep-learning-based object-detection methods.The proposed approach allows for comparing sets of bounding boxes to estimate the degree of similarity of their underlying images.It is based on the fuzzy approach that uses the fuzzy mutual position (FMP) matrix to describe spatial composition and relations between bounding boxes within an image.A method of computing the similarity of two images described by their FMP matrices is proposed and the algorithm of its computation.It outputs the single scalar value describing the degree of contentbased image similarity.By modifying the method's parameters, instead of similarity, the reflectional symmetry of object composition may also be measured.The proposed approach allows for measuring differences in objects' composition of various intensities.It is also invariant to translation and scaling and -in case of symmetry detection -position and orientation of the symmetry axis.A couple of examples illustrate the method.
Overview of Condensed Matter Physics

Modern Condensed Matter Physics brings together the most important advances in the field of recent decades. It provides instructors teaching graduate-level condensed matter courses with a comprehensive and in-depth textbook that will prepare graduate students for research or further study as well as reading more advanced and specialized books and research literature in the field. This textbook covers the basics of crystalline solids as well as analogous optical lattices and photonic crystals, while discussing cutting-edge topics such as disordered systems, mesoscopic systems, many-body systems, quantum magnetism, Bose–Einstein condensates, quantum entanglement, and superconducting quantum bits. Students are provided with the appropriate mathematical background to understand the topological concepts that have been permeating the field, together with numerous physical examples ranging from the fractional quantum Hall effect to topological insulators, the toric code, and majorana fermions. Exercises, commentary boxes, and appendices afford guidance and feedback for beginners and experts alike.
Prevention of Session Hijacking and Authentication Providingtothe Session Cookie

The current world is running around the word “Privacy”. Every individual’s aim is to secure their data and transactions so that no one can access them without proper authentication. In this digital era, all the data stored in the internet protected by a password. The general opinion is that a password can protect the data from being acquired by an unauthorized user. The issue is about what happens subsequently with an authorized login. Once we login into our account, all our actions, state of browser and timestamps are recorded in a simple text file known as “Cookie”. In this paper, we proposed a mechanism which is easy to implement and robust in providing authentication to the session cookie. This obstructs an unauthorized user from getting access to our private data. Our mechanism provides authentication by using the concept of hashing combined with a unique identifier.
Conversation authoring

With recent advances in natural language understanding techniques and farfield microphone arrays, natural language interfaces, such as voice assistants and chatbots, are emerging as a popular new way to interact with computers. They have made their way out of the industry research labs and into the pockets, desktops, cars and living rooms of the general public. But although such interfaces recognize bits of natural language, and even voice input, they generally lack conversational competence, or the ability to engage in natural conversation. Today's platforms provide sophisticated tools for analyzing language and retrieving knowledge, but they fail to provide adequate support for modeling interaction. The user experience (UX) designer or software developer must figure out how a human conversation is organized, usually relying on commonsense rather than on formal knowledge. Fortunately, practitioners can rely on conversation science. This book adapts formal knowledge from the field of Conversation Analysis (CA) to the design of natural language interfaces. It outlines the Natural Conversation Framework (NCF), developed at IBM Research, a systematic framework for designing interfaces that work like natural conversation. The NCF consists of four main components: 1) an interaction model of "expandable sequences," 2) a corresponding content format, 3) a pattern language with 100 generic UX patterns and 4) a navigation method of six basic user actions. The authors introduce UX designers to a new way of thinking about user experience design in the context of conversational interfaces, including a new vocabulary, new principles and new interaction patterns. User experience designers and graduate students in the HCI field as well as developers and conversation analysis students should find this book of interest.
Data Mining Approach for Predicting Learner's Achievement

Student achievement variables that may be included into student database can be classified into three main categories, student variables.Instructor variables and general variables.This paper presents a new machine-learning model for extracting knowledge From student attributes in a given database.This knowledge can be used for determining the relative importance and effectiveness of student's attributes for the prediction of their college academic achievement, and the relationship between these attributes and their achievement.The model includes three main algorithms namely: preprocessing of database, attribute selection and rule extraction algorithm.Preprocessing of database aims to alleviate the dimensionality of the given database.It is performed according to (i) Detecting memo attributes and abstracting their field values into minimum abstraction level, (ii) Detecting the attributes, which have repeated values (including sparse values), and dropping them from database and (iii) Using fuzzification for transferring the attributes of continuous values into linguistic terms.This transformation leads to reducing the search space.Attribute selection algorithm selects the most relevant attributes set by the calculations of an evaluation function.The resulted set of attributes is passed to rule extraction algorithm for extracting an accurate and comprehensible set of rules.
Factors affecting English Language Learning Motivation of Korean Freshmen and their General Characteristics

Affective factors are crucial to acquire ESL (English as a second language) or EFL (English as a foreign language) learning. This study aims to investigate factors affecting to Korean university freshmen’s English learning motivation and their general characteristics such as gender, major and exposure to English. 379 freshmen at a regional university in Korea participated in the survey. They registered in a mandatory communicative English class managing by team-teaching with native speakers and Korean professors. The survey format was a descriptive and direct method, and composed with two parts, one is a check list asking for general characteristics and exposure to English, and the other is a 5Likert scale asking for participant’s interest, expectation, confidence, motivation, and anxiety. Motivation was used as a dependent variable, and the others were used as affective factors for motivation. Collected data was analyzed with SPSS statistics. There was not statistical significance depending on gender in all affective factors. As for major, there showed statistical significance in confidence and anxiety factors (p&lt;.05). Natural Science &amp; Engineering (NSE) majoring students’ confidence was highest, and that of Human and Social Sciences (HSS) and Art, Music &amp; Physical education (AMP) majoring students was followed. As for anxiety, NSE students were lowest, HSS students and AMP students were followed. As for exposure to English, there showed statistical significance in interest, confidence, motivation, and anxiety factors (p&lt;.05, p&lt;.01). Students with learning experience with native speakers (NS) were higher interest, confidence, and motivation, and lower anxiety than students with none of exposure in English. Meanwhile, NS students showed lower interest and anxiety, and higher confidence than students with abroad experience. In relationship between affective factors, the most influential factor for learning motivation was confidence, expectation, and interest in order (p&lt;.05).The results are expected to provide basic data necessary for establishing and developing an efficient and systematic communicative English education program
Bayesian Networks

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Pentair makes equity investment in Aqua Membranes

Pentair plc has closed a minority investment in Aqua Membranes, a developer of patented 3D printed spacer technology that enables performance improvement in spiral wound elements used in reverse osmosis (RO) membrane applications, including residential and commercial water filtration.
Modified Dynamic Hash Table with Threshold RSA for Dynamic and Public Auditing on Cloud Data

Cloud storage is one of the major application in the cloud, which can provide the on-demand outsourcing data service for both organizations as well as individuals. The Data Integrity (DI) check in the cloud is applied by the user to ensure the integrity of data. The Third Party Auditing (TPA) technique is later introduced to check the cloud DI. Many research has been carried out in the public auditing to minimize the computation cost of the integrity check. The most existing method involves in lack of security and low computation overhead. In this research, the Modified Dynamic Hash Table with threshold Rivest, Shamir, and Adelman Algorithm (RSA) algorithm (MDHT-RSA) is proposed to improve the security and reduce the computation cost. The threshold RSA cryptography system increase the security by generating the secret key to the user and reduce the computation cost. The Modified Dynamic Hash Table (MDHT) is used to record the data information for dynamic auditing, which is located in the TPA. The MDHT is differed from the Dynamic hash table, that the MDHT doesn’t contain the tag block whereas the dynamic hash table has the tag block. The MDHT-RSA is analyzed with the computation cost and compared with existing method. The experimental result proved that the MDHT-RSA method has low computation cost than state-of-art method in public auditing. The verification cost of the MDHT-RSA is 1.3 s while a state-of-art method DHT-PA has the 1.35 s for the 200 blocks of data.
Applications of Phase-Only Hologram in Display, Holographic Encryption, and Steganography

Digital holography has indeed led to numerous advancement of the classical, analog holographic technology that only permits a hologram to be permanently recorded onto a photographic film. In digital holography, a hologram can be captured from a real object. It can also be numerically generated as an array of numbers that can be stored as digital data, processed through computation, and distributed via digital communication links. In general, the primary purpose of holograms is to display 3-D images. Hence, a digital hologram in digital data form will not be of much practical use if it cannot be visually seen as a 3-D image. This is one of the major disadvantages of a digital hologram compared with the optical hologram, which can be readily captured with our eyes. However, a digital hologram can have different applications apart from generating 3-D images. In fact, recent research has shown that a digital hologram can be utilized in protecting sensitive data (a task referred to as cryptography), or in steganography for embedding large amount of additional data. This chapter describes some of the important applications of digital phase-only holograms in 3-D display, holographic cryptography, and steganography.
Intellectual property: country-wise trends of contributors and indicators in the knowledge economy

The present study focuses on the role of intellectual property rights (IPR) and explores the importance of industrial indicators of IP in different geographic regions. To estimate the degree of responsiveness of the country's financial prosperity to IPR, top 15 countries based on their GDP performance were selected for the study. We found that there is no single formula for enhancing GDP through IPR, as the combination of different tools of IPR differs from country to country. The study also provides a conceptual framework which elaborates the role of different factors that are contributing to IP base, which further leads to faster economic growth in knowledge economy.
Preface

Enterprises have made amazing advances by taking advantage of data about their business to provide predictions and understanding of their customers, markets, and products. But as the world of business becomes more interconnected and global, enterprise data is no long a monolith; it is just a part of a vast web of data. Managing data on a world-wide scale is a key capability for any business today.
Long memory processes

In this chapter, we will introduce models for which the standard extreme value theory developed in the previous chapters fail in some aspects. These models belong to the loosely defined class of long memory or long-range dependent processes. The first long-range dependent models were studied for Gaussian processes, so a natural definition is through the covariance function.
Giophantus distinguishing attack is a low dimensional learning with errors problem

In this paper, we attack the recent NIST submission Giophantus, a public key encryption scheme. We find that the complicated structure of Giophantus&#39;s ciphertexts leaks information via a correspondence from a low dimensional lattice. This allows us to distinguish encrypted data from random data by the LLL algorithm. This is a more efficient attack than previous proposed attacks.
Programming statistical graphics

This third edition of Braun and Murdoch's bestselling textbook now includes discussion of the use and design principles of the tidyverse packages in R, including expanded coverage of ggplot2, and R Markdown. The expanded simulation chapter introduces the Box–Muller and Metropolis–Hastings algorithms. New examples and exercises have been added throughout. This is the only introduction you'll need to start programming in R, the computing standard for analyzing data. This book comes with real R code that teaches the standards of the language. Unlike other introductory books on the R system, this book emphasizes portable programming skills that apply to most computing languages and techniques used to develop more complex projects. Solutions, datasets, and any errata are available from www.statprogr.science. Worked examples - from real applications - hundreds of exercises, and downloadable code, datasets, and solutions make a complete package for anyone working in or learning practical data science.
Python Basics

No matter what famous programmer you think of, like Bill Gates or Guido van Rossum, they also started at a basic level at some point in their life. These basic concepts are a necessity to build a foundation on which you can learn any programming language. After all, you don't start building a house from the roof down, you need to have a foundation to work from. That's where this week comes in to play.