Reviewerly/exHarmony huggingface dataset:
WhatsApp: cryptographic aspects

In the last years, the birth of instant messaging applications transformed the communication, allowing everyone to contact immediately any other person. Of course, two of the main tasks of a communication app are security and speed: we must be sure about who is receiving our message and that no one can intercept the message, but at the same time we need to reach our contacts without having to wait for minutes or hours. That’s why WhatsApp, one of the main apps in this field, signed in 2014 a pact with the Open Whisper Systems to use their Signal protocol, which guarantees end-to-end-encryption. The aim of this thesis is to describe in detail the cryptographic protocol used by WhatsApp. The first part of the work contains the theory needed to fully understand the protocol. In this regard, first of all we recap the cryptographic primitives used by WhatsApp in its protocol, such as AES, HMAC or SHA-2. After that, we introduce elliptic curves: we describe their arithmetic and the essential properties to understand Elliptic Curve Cryptography (ECC). We discuss the strengths of ECC, like the performance advantage it has over other famous cryptosystems such as RSA, and its weaknesses, like the difficulty of their implementation due to their complexity. The main focus will be on Montgomery Curves and especially on Curve25519, which is the curve chosen by WhatsApp to generate key pairs for their users. They chose this curve because of an algorithm known as Montgomery Ladder, which speeds up the computations. In the second part of the thesis, we describe the protocol used by the WhatsApp end-to-end encryption: it is called Signal Protocol and it guarantees that third parties, including WhatsApp itself, do not have access to our messages or calls. On this matter, we show how the protocol is resistant to many attacks, such as the man-in-the-middle attack. We then explain how keys are generated and how to establish an encrypted session: for security, WhatsApp servers don’t know private keys of their users, but users can verify keys if they want to be sure about the integrity of the communication. Finally, we explain in detail how messages (texts messages, medias, other attachments and so on) are exchanged and how calls are managed. The main focus of this part is the Double Ratchet algorithm. We also give some details on how multi communication is handled (Sesame), on how WhatsApp implements group chats and on extra WhatsApp features like statuses or live locations.
IoT Enabled E-Business via Blockchain Technology Using Ethereum Platform

Traditional Electronic Business (E-Business) is a process of exchanging goods and services in digital form where payment is done using electronic payment system. In traditional E-Business, banks and financial institutions are used as Third Party (TP) which has many drawbacks. The proposed model is about e-business using Internet of Things (IoT), which is an advanced version of traditional E-Business model. It removes the TP and performs Peer to Peer (P2P) transactions using Blockchain (BC) technology. It contains four types of commodities: smart property (vehicle, home, flats and energy), smart share property which is also known as rented property (rented homes, rented flat and rented hotel rooms, parking spaces), shopping (clothes, domestic items) and paid data. We introduce mobile application and Near Field Communication (NFC) technology to perform communication between IoT devices to control the ownership of smart property. Experiments are performed, which give comprehensive results of proposed design. Benchmark scheme did not perform any type experiments and did not give simulation results. We enhance the benchmark model, which shows the experimental results and gives comparison between proof of work and proof of authority. Due to these reasons, proposed model is better than benchmark scheme.
Deblurring methods for underwater 2D and 3D range-gated imaging

Compared with traditional underwater cameras, the detection distance of underwater range-gated imaging can be increased by 2-3 times. Furthermore, based on this technology, fast high-resolution 3D imaging can be achieved. It has great potentials in underwater target detection and recognition, automatic navigation, marine scientific research and natural resources exploration. Although range-gated imaging can suppress the backscattering noise by space slicing, and achieve higher quality images, the backscattering noise of the sampling water volume still exists in gated images, resulting in low image signal-to-noise ratio and contrast, especially for distant targets or low reflectance targets. This paper systematically introduced author's research of deblurring methods for 2D and 3D range-gated imaging. In 2D imaging, two methods were proposed:the first was an algorithm of self-adaptive double-plateau histogram equalization to improve image contrast and better meet human vision; the second was to use a water-noise-reference denoising algorithm to improve the signal-to-noise ratio of target gated images. In 3D imaging, there were also two methods proposed:one was to use the water-noise-reference denoising algorithm for 3D reconstruction, and the other was to use the threshold-dependent joint bilateral filter algorithm for enhancing 3D images. The four proposed methods can be used independently or in combination for denoising enhancement of underwater range gated imaging.
SeCon-NG

There is no doubt that the Internet of Things (IoT) has the power to change our world and drive us to a complete social evolution. In business and industry, there are thousands of IoT use cases and real-life IoT deployments across a variety of sectors (e.g. industry 4.0 and smart factories, smart cities, etc.). However, due to the vastly resource constrained nature of the devices used in IoT, implementing secure and privacy-preserving services, using for example standard asymmetric cryptographic algorithms, has been a real challenge. The majority of IoT devices on the market currently employ the use of various forms of symmetric cryptography such as key pre-distribution. The overall efficiency of such implementations correlate directly to the size of the IoT environment and the deployment method. In this paper, we implement a lightweight cryptographic library that can be used to secure communication protocols between multiple communicating nodes without the need for external trusted entities or a server. Our implementation is based on modifying the Elliptic-Curve Diffie-Hillman (ECDH) and Elliptic Curve Digital Signature Algorithm (ECDSA) components of the Tinycrypt cryptographic library. This work focuses on extending the functionalities of the User Datagram Protocol (UDP) broadcast application on the Contiki-NG Operating System (OS) platform.
독서 활동이 학령전기 다문화 가정 아동의 KSL 발달에 미치는 효과

This study aimed to systematically examine the effect of reading activities on the KSL development of preschool children from multi-cultural families. To accomplish this goal, a total 35 effect sizes were producted from 15 related studies and meta-analyzed. The major implications of this research are as follows: First, the overall effect size was 1.204. Second the effect size of improving vocabulary ability was midium effect size.(.764) And the effect size of improving receptive language ability(1.118), expressive language ability(1.114), discourse ability(1.118) were big effect size. Detailed findings and pedagogical suggestions are also discussed.
The Effects of LinkedIn Messages on English Language: A Critical Study

The purpose of this paper is to find out the errors of using theLinkedIn messages in the English language.The web 2.0 is indeed playing a vital rolein the 21stcentury.There are so many popular online formal and informal toolsare available i.e.Facebook, WhatsApp, Instagram, Telegram and so on. It depicts a comprehensive and unbiased view of previous researchers on the topic. As we know that, with the using of these popular online tools, the words and meaning of English language got distorted. The researcher will discuss the impact of Linkedin messages on English from a structure, grammar, punctuation, code language, symbol usage, emoticon usage, abbreviation, acronym, fusion, coinage of new words, vowel usage etc. The researcher sums-up and reports findings based on the data analysis and interpretation. Along with this, the researcher also enunciates the favorable and adverse consequences of Linkedin messages in English
أثر تطبيق الادارة الالكترونية على جودة الخدمات الالكترونية المقدمة للمراجعين في مديرية الجنسية/ وزارة الداخلية الأردنية

The most important objective of the study was to measure the impact of the application of electronic administration in the Directorate of Nationality - Ministry of Interior on the quality of service provided to the reviewers of the Directorate. The study relied on descriptive analytical methodology. The study population consisted of reviewers of the Directorate of Nationality - Ministry of Interior of Jordan during the period of preparation of the study, A random sample of (135) reviewers was selected. The study showed that the application of electronic administration in the Directorate of Nationality was high, The study showed a statistically significant impact of the application of electronic administration in the Directorate of Nationality on the quality of service provided. The application of electronic administration in the Directorate of Nationality explains 87.0% of the variation in the quality of service provided. The study recommends that the Ministry of the Interior provide material, moral.
Industry 4.0 and blockchain: On the use of distributed ledgers for supply chain management

Since the birth of Bitcoin, in early 2009, an explosion of researches and investments were unleashed towards a new disruptive technology called blockchain. This new technology, that consists in a sequence of blocks cryptographically linked one to each other, provides a fully auditable and immutable ledger, where data, once stored, cannot be modified. The blockchain aims to revolutionize the interaction between people and machines in an untrusted distributed environment without the need of a central trusted authority. From the birth of Bitcoin, most applications built on top of such technology were mainly in the FinTech sector, regarding exchange of cryptocurrencies, in the so-called permissionless blockchain network. However, in recent years, researchers and companies studied the feasibility of adopting blockchain-based solutions also in different sectors, from supply chain management systems to data provenance and data reliability. In this context were born the first permissioned blockchains, where members are known, and they must own a digital identity in order to join the network. This thesis analyzes the adoption of a blockchain-based solution in the context of supply chain for a GE Avio Aero use case in the Industry 4.0 framework. The aim is to create a system where data are securely stored, tamper-proof and easily auditable in order to eliminate paper-based documents and to make the production environment more efficient. For the purpose of this thesis a SWOT matrix analysis has been performed in order to study the feasibility and the advantages and disadvantages of adopting a blockchain-based solution for the use case provided. In addition, a proof of concept has been developed with the use of Hyperledger Fabric for building the blockchain network and ExpressJS for developing a REST web server in order to interact with the underlying network.
Incorporating speaker’s role in classification of text-based dialogues

Dialogues are an interesting type of document, as they contain a speaker role feature not found in other types of texts. Previous work has included incorporating a speaker role dependency in text-g ...
Collaborative Case Study Essay by Maria Mauriello and Shaoshi Huang

The online community that Shaoshi and I picked is the Subreddit r/explainlikeimfive. On this particular online community you can ask questions in certain categories and
The Need and Requirements to a Strategy Ontology

The importance of strategy and strategy construct is not a newphenomenon. However as strategy work becomes less tangible, concerns withunderstanding, describing, and managing strategies develops into an increasinglycomplex subject. Current strategy concepts are dispersed and lack integration.Moreover, the enablement of modelling practices around strategy conceptsconsidering the entire strategy lifecycle are also missing. Consequently, thispaper focuses on issues with strategy in theory and practice, why a strategyontology is needed and how this can be developed.
Science of Music

This book develops a new way to understand how the music is produced and how it must be trained. We try to explain everything from another point of view in order to realize that we can study music in a reliable way, throwing away all the miths and all the ideas that cannot be clearly defined, and consequently, the ideas that cannot be explained of the process of studying music.
Deducted Sentiment Analysis for Sarcastic Reviews Using LSTM Networks

Sentiment analysis is one among various artificial intelligence domains which has become predominant in various fields of study and applications. Sentiment analysis is widely used in product reviews, movie reviews, social tweets, etc. Sentiment analysis takes a heap of reviews and predicts the sentiment collectively conveyed by them. Sarcasm is one of the complications in sentiment analysis makes the review normal syntactically but not semantically. Sarcastic reviews can be treated as normal inputs if sentiment analysis systems are capable of getting optimal sentiment from the review though it is full of sarcasm. Conventional algorithms and neural networks used for sentiment analysis are not capable to produce the optimal results for sarcastic reviews. As in advancement of deep learning, long short-term memory (LSTM) networks were introduced to give a solution to the sequence problems. In this paper, we mainly focused on sentiment analysis as sequence problem and binary classification problem. The review has been taken as input sequence to our proposed LSTM model that is capable to predict probability of two classes efficiently. The relatively optimal results have been achieved with our LSTM network.
Linear System Identifier Computational Tool Based on Emerging Bioinspired Systems

This paper is about the design and development of a computer tool for identifying and estimating the characteristic parameters of linear time-invariant systems through collective intelligence based on emerging bio-inspired systems. The tool is named System Identifier (SysID) which uses Ant Colony Optimization (ACO) and Particle Swarm Optimization (PSO) to find the optimal model of a unknow linear system, and it presents the result as a transfer function whether it is first order with or without dead time, second-order and inverse response systems. We performed an experimental evaluation of the effectiveness and efficiency of SysID using synthetic data of real-life processes. The results of our experiment demonstrate that SysID is an accurate tool to determine appropriate values of model systems using model fitting by minimizing a cost function.
Quantum computing from the ground up

Trapped-ion computing pioneer Chris Monroe describes how decades of experience in academic and government research led him to start his own quantum computing firm
Impact of Blockchain Technology and 5G / IoT on Supply Chain Management and Trade Finance

The main objective of the research is to explain the concept of blockchain management and 5G or Internet of Thing (IoT). The study highlights the impact of blockchain management and 5G on supply chain management and trade Finance .The paper also demonstrates how blockchain management and IoT will offer opportunities to the organizations and how it will impact their future competitiveness and market share and it exhibits various other issues relating to blockchain and 5G.
On the Credibility Guarantee Mechanism of Accounting Information System

The main problems in the process of current accounting informatization are that the reliability of accounting information cannot be guaranteed, accounting information is distorted and accounting fraud occurs frequently. However, in the Internet environment, we can establish a guarantee mechanism of credibility accounting information system based on the block-chain theory. Through the first layer of block chain technology, the original transaction information is solidified. Then, through its second layer, the accounting process is solidified, so as to provide a guarantee for the authenticity and reliability of accounting information, effectively inhibit accounting fraud.
Development Demand and Trend Analysis of Train Intelligence

This paper describes the demand and trend analysis of train intelligence development. Firstly, the background of the industry is introduced, and the recent developments of intelligent in railway vehicles in abroad are reviewed. Secondly, the innovation opportunities brought by the development of intelligent technology in the new era, the development of comprehensive transportation system and the demands of the users for trains are discussed. Future development of intelligent trains is addressed in three aspects: Train operation, maintenance and service are also discussed in this paper with emphasis on the characteristics of perception, control, expression, response and interaction.
TOWARDS AN INCLUSIVE SKILLS TYPOLOGY

The article seeks to contribute to the clarification and deeper understanding of certain key skills concepts. In this context, it presents and analyzes both the usefulness and the limitations and difficulties of constructing a modern and comprehensive skills classification and proposes a categorization of skills that are considered critical for the performance of job roles and the effective execution of work tasks. The proposed skill typology broken down into 7 categories, 9 sub-categories and 68 individual knowledge and skills was based on an overview and analysis of 18 important existing skill typologies. The proposed typology covers fundamental, general, professional, social skills, as well as certain work-related attitudes and values. It also includes a reference to digital skills. Article visualizations:
치위생(학)과 학생의 치위생관리과정 수업몰입 영향요인

Objectives: This study provides basic data for developing practical teaching methods enabling efficient execution of the dental hygiene care process. Methods: A total of 197 dental hygiene students experienced in dental hygiene care process in Gwangju and Jeonnam were surveyed from June 1 to August 30, 2019 to study their class flow, professors-student relationships, and class satisfaction level. Post survey, statistical analysis was performed using frequency analysis, independent t-test, Pearson’s correlation analysis, and multiple regression analysis. Results: 1. Class flow was high in three lecturers (3.56), four hours per week (3.39), and four hours per week (3.94). Class satisfaction was high in three lecturers (3.99) and four hours per week (3.90) (p<0.05). 2. There was a positive correlation between class flow and professor-student relationship (r=0.519), class flow and class satisfaction (r=0.566), and professor-student relationship and class satisfaction (r=0.838) (p<0.01). 3. The factors influencing class flow were the number of lecturers (β=0.442), class hours per week (β=-0.397), and class satisfaction (β=0.385). Conclusions: Apart from finding ways to improve class satisfaction for class flow in the dental hygiene care process, efforts are required to increase the number of lecturers and class hours per week for efficient class management. Further research is needed to develop practical teaching methods.
Temporal Difference Learning for Noise Covariance Adaptation

When the noise covariance matrices in the filtering algorithm are not match with the practical system, the filtering performance may be degraded. To address this problem, a temporal difference learning Kalman filter (TDLKF) algorithm is presented for systems with noise covariance uncertainty. The key idea is to select appropriate noise parameters adaptively via trial-and-error interactions in an operational environment, such that the filtering performance is improved gradually. The adaptation scheme is implemented via temporal difference (TD) learning, which is an optimization-searching algorithm based on a value function updated iteratively as episode increases. The TDLKF is applied for an autonomous satellite constellation navigation system. The high performance of the algorithm is illustrated via simulation in comparison with the multiple-model adaptive estimation (MMAE) and the adaptive Kalman filter (AKF).
Generalized spin kitten states in a strongly coupled spin-oscillator system

Utilizing an adiabatic approximation method a bipartite qudit-oscillator Hamiltonian is explicitly studied for low spin values in both strong and ultrastrong coupling regimes. The quasiprobability densities on the hybrid factorized phase space are introduced. Integrating over a sector of the composite phase space, the quasiprobability distributions of the complementary subsystem are recovered. In the strong coupling regime the qudit entropy displays a pattern of quasiperiodic collapses and revivals, where the locally minimum nonzero configurations appearing at rational fractions of the revival time correspond to the spin kitten states. Starting with a bipartite factorizable initial state the evolution to the nonclassical transitory spin kitten states are displayed via the diagonal spin PQ-representation. The formation of transient spin kitten states is further substantiated by constructing the spin tomogram that employs the positive definite probability distributions embodying the diagonal elements of the corresponding density matrix in an arbitrarily rotated frame. As another manifestation of nonclassicality the emergence of the spin squeezed states during the bipartite evolution is observed. In the ultrastrong coupling domain a large number of interaction dependent modes and their harmonics are generated. The consequent randomization of the phases eliminates the quasiperiodicity of the system which is now driven towards a stabilization of the entropy accompanied with stochastic fluctuations around its stabilized value. Both in the strong and ultrastrong coupling realms antibunching of the photoemission events are realized particularly for the small spin values.
Imbalance-Eliminate Loss in Siamese Networks for Arbitrary Object Tracking

Recently, several attempts with Siamese Network in Similarity Learning has been made in visual tracking area, which gains a decent capability both in real-time and accuracy rate with simple networks. However, the potential of model pretraining in superior tracker performance and training efficiency has been constantly neglected. To address the issue in this regard, a novel loss function, namely imbalance-eliminate loss (Ie-loss) function, is proposed in this essay. Following and transforming the classic triplet thought in metric learning, our loss function can earn more training data and excavate the potential information among the triplets, which including positive and negative instances, as well as input exemplar. Further, we focus on eliminating the disequilibrium between positive and negative input by weighting elements in Imbalance-eliminate loss function. Additionally, we put forward a theoretical method about gradient to judge the validity of the triplet loss function. In experiments, our tracker with Imbalance-eliminate loss function achieves superior performance and attains state-of-art real-time standards in the multiple benchmark.
LibGuides: Library Research Skills: Finding eBooks: Welcome

This LibGuide has the same content as the Finding eBooks module your professor may have in Canvas.