Reviewerly/exHarmony huggingface dataset:
S-SEJAD through Steganography

Communication has always been an indispensable means of everyday life. The Diffie-Hellman (DH) model [1] was one of the historical mechanisms that allow two entities to communicate without prior knowledge. DH has known over time several variants dealing with different aspects (security, speed, etc). One of these variants is called S-SEJAD [2], which is a model we proposed to secure key exchange. In this paper, we propose an enhancement to this model in order to be able to unobtrusively share the AES key [3] as well as the p value and g value, which further secure the data exchange process. The obtained results show the performance of our model in terms of time and robustness.
Emotion Analysis on Turkish Texts: A Systematic Mapping Study

In recent years, the increase in internet usage also led to an increase in data. Therefore, the importance of classification has increased to understand and analyze the data more easily, and this made emotion analysis a necessity. Research in this area shows that emotion is a key tool in analyzing texts. However, there are very limited studies conducted on the text in Turkish language. The purpose of this study is to detect emotions in Turkish texts by analyzing the results of earlier studies in this scope. The following research questions are aimed to be answered: What are the years and count of publications? What are the techniques used in the emotion analysis on texts? What are the main data sets? Which types of emotion are detected? Which tools are used in emotion analysis? For this reason, a systematic mapping study is performed to categorize and summarize the existing literature on emotion analysis. To ensure relevant papers in this field, an automated search process is performed for this study. Web of Science and Scopus databases are used for searching current and past research in emotion analysis on texts. There are 66 articles found on this subject. Then, by using filtering, irrelevant studies are removed. According to a set of inclusion and exclusion criteria, 9 relevant papers are selected in this field. The machine learning method is used for text analysis that automatically identifies the patterns and makes decisions about emotions.
Secure communication in Internet of Things devices using steganography

RFIDs, cloud computing, and ubiquitous wireless connectivity brought the digital and physical world close together. Lots of devices are capable of communicating with the physical world through the internet cloud, which introduces the evolution of a new era, known as Internet of Things (IoT). An enormous volume of data is being transmitted over the IoT domain. In this scenario, data security is an area of great concern. This paper proposes a data security method where cryptography and steganography are combined at the IoT devices, before sending the data over the Internet cloud. Data is encrypted using the RSA algorithm. The second level of security is applied to the encrypted data using steganography where the bits in the image file could be used for hiding the encrypted data. The proposed data security method along with the proposed steganography technique maintains satisfactory security, as enough data bits could be carried by the image and there is no visible change to image quality, which could raise concern for attackers.
Fuzzy Transform for Smart Grid Data Compression

In smart grid communication data Compression is a critical issue to store or transmit huge amount of power system data. A fuzzy transform (FT) based data compression algorithm is presented in this work for smart grid signals. A fuzzy transform based kernel is exploited to map the data into a new domain of reduced dimension to allow efficient compression of data. The performance is evaluated with different types of power system signals from the measurement devices of Smart Grid. The presented technique reduces the size of the data after compression with minimum distortion. Comparative results are presented with a two dimensional (2D) FT based method which is exploited to compress electric signal of smart grid.
A Study on Musical Composition and Significance of the Musical Play The Sorrow of Wanderer

Music plays flourished in the world of the Korean popular play during the Korean Liberation Period. Among them, the cases that drew the interest and curiosity of the audience by composing a narrative based on existing songs and using popular songs as the main theme are particularly noteworthy. The Sorrow of Wanderer is a representative example, but it has not been made meaningful approach so far. It may be mainly because the script has not been excavated until now. Since the script was recently discovered, however, a way to study the status of performances in the 1940s and their characteristics has been opened. Moreover, a path has been opened to discuss the relevance to the popular song of the same name and to conduct meaningful historical research on the production team and creative subject. This study, based on the excavated script of The Sorrow of Wanderer , aims to discuss its birth and transformation, creative subject and reason for change, musical composition and narrative characteristics, and performance effects. It is expected that the academic discussion on this work will not only examine itself, but will be also a help in the study of the overall characteristics of the musical plays that flourished during the Korean Liberation Period.
Study on the Hierarchization of Teaching and Learning Contents of Jeongga

It is well known that the content should be hierarchically organized according to school level and grade group in education. Therefore, this study aims to hierarchize teaching and learning contents for jeongga--including gagok, gasa, and sijo--a representative vocal genre of gugak. To this end, it analyzes the contents of the jeongga-related curriculum and the related contents of elementary, middle, and high school textbooks of the 2015 revision curriculum.&#x0D; As a result, sijo and gagok in the music curriculum and textbooks are established to some extent while there is little content on gasa and thus it requires to develop music pieces for its education and revitalize it. In addition, most jeongga pieces are not presented in a systematic way for teaching and learning to suit the school level; above all, the same pieces of sijo and gagok tend to be presented repeatedly regardless of school level.&#x0D; Based on this analysis, five factors, such as 'genre and music piece', 'activity area', 'score and music length', 'score form', and 'learning activity', are selected as elements and considerations necessary for hierarchical research. According to these factors, a plan should be sought to hierarchize teaching and learning contents according to school level and grade group. I believe that such discussion is necessary at the time of the revision of the current music curriculum and textbooks, and I hope that the discussion on the hierarchization of various gugak genres as well as the jeongga will continue.
A Study on the Development Plan through Analysis of the Status of the Middle School Gugak Education

Gugak (Korean traditional music) is a great legacy of the Korean people, which has developed creatively through the long history of contacting with foreign music. However, it has been neglected in school education, and its importance has gradually increased through the revision of the curriculum.&#x0D; This study intends to figure out whether gugak education is actually expanding in the school field and to study development plans by analyzing the current status of gugak education in 10 middle schools located in Gangnam-gu, Seoul.&#x0D; As a result of analyzing the gugak class hours in the 10 middle schools for three years, they are 24.7 hours on average, or 19.7% of the entire music class hours, which are considerably lower than the number of Western music class and far below the proportion of curriculum or textbooks. The distribution of the proportion of gugak class hours is 8.4% ~ 31.8%, which shows that there is a significant deviation by school. The intensive completion system is implemented by 8 schools, and the distribution by area is 41.9% for appreciation, 32% for instrumental music, 19.6% for singing, 5.8% for daily life, and 0.6% for creative writing. There is only one school that organizes all areas evenly. Moreover, due to the COVID-19, the vocal and wind instrument performance classes have decreased while the appreciation classes have increased relatively, for which alternatives are required.…
UNDERWATER IMAGE RESTORATION ANDENHANCEMENT USING HYBRID ALGORITHM

Underwater image restoration and enhancement using a Hybrid algorithm to evaluate the undersea activities like underwater vehicles to carry optical imaging systems for recording. The captured images and videos frequently suffered from two displeasing problems: 1. Color distortion; 2. Poor visibility. Those factors are the most notorious threats in underwater imaging systems because the light is exponentially attenuated while penetrating through water and the strength of attenuation is color dependent. Under these inferences, an effective single underwater image restoration, and enhancement framework-based Sea-thru algorithm has been proposed for image restoration, depth estimation, and transmission compensation to enhance the image. To address the consequences of scattering and absorption, a new restoration algorithm outperformed by the state-of-the-art method both qualitatively and quantitatively. A wide variety of underwater images with various scenarios were exploited to assess the restoration performance of the proposed algorithm. The proposed underwater image restoration technique is a promising result for undersea activities that required high-quality images. Sea-thru method estimates backscatter using the dark pixels and machine learning algorithms, to create exciting opportunities for future underwater image exploration and conservation
Deep Learning based Channel Prediction for OFDM Systems under Double-Selective Fading Channels

With the development of wireless communication and internet of vehicles (IoV), a growing number of wireless high-speed scenarios have emerged. High mobility will introduce large Doppler shift to the channel, resulting in fast time-selectivity, and multi-path transmission will lead to frequency-selectivity. In such a double-selective fading channel, in order to accurately recover the transmitted symbols, lots of pilot symbols are required for channel estimation, resulting in bandwidth wastage. In this paper, we design a novel deep learning (DL) based channel prediction network that combines the benefits of fully-connected deep neural network (FC-DNN), convolutional neural network (CNN) and long short-term memory (LSTM) to reduce the demand of pilot symbols in orthogonal frequency-division multiplexing (OFDM) systems. In particular, the three networks are deployed to perform noise reduction, interpolation and prediction, respectively. In addition, we propose a data aided decision feedback scheme in prediction to guarantee the prediction performance. Simulation results demonstrate that the proposed prediction network can achieve better performance than existing methods.
Multi-Micro-Agent System Middleware Model Based on Event Sourcing and CQRS Patterns

In this chapter, we present a new model of middleware for multi-micro-agent distributed systems. The proposed model is based on event-driven architecture using event sourcing and CQRS patterns. In this architecture the agent communication model uses a couple of buses. The command bus is used to dispatch commands intended to change the state of the agent, and the query bus is used dispatch queries intended to poll the agent domain state. This mechanism allows separating completely the read and the write sides of each micro-agent. The agent's environment is managed in an aggregate component where command handlers perform the business logic intended to change the agent domain state. The command handling process is translated by firing a set of events across the event bus, which leads them to be stored in a distributed event store with different implementations. Accordingly, all other agents can subscribe to specific focused events, using event handlers to trigger the event processing, where each event's data are projected into the agent reading repository. Thanks to those events, each agent can build its own independent environment representation using its appropriate data model. The goal is to eliminate interactions with other agents while reasoning at the runtime. The event bus model of this framework provides both the pub/sub and the polling patterns. So, we can use any broker to manage the event bus and the event store. In the current implementation the KAFKA broker is used as the distributed event bus and distributed event store. To perform distributed transactions, agents can use the mechanism of the SAGA pattern provided as a building block of the proposed framework. In this chapter, we will present the main components of the model architecture and highlight the strengths and weaknesses of the proposed model compared to existing solutions. To prove the performance of the proposed model, we have implemented a sample blockchain application based on this model and some stress tests have been performed.
The impact of inequality and poverty on cryptocurrency use

As far as economics go, many aspects of cryptocurrencies remain relatively unexplored. There are many motives for buying cryptocurrencies, like speculative investment or safeguarding against inflation. Their forecasting is extremely difficult due to the unpredictability. This research aims to establish the relationship between economic inequality and cryptocurrency use. Income and wealth inequalities are some of the most important aspects of modern economies, both developed and developing. The chapter starts with the narrative literature review of relevant issues and then move to empirical analysis. The chosen method of empirical analysis is a linear regression model (ordinary least squares) based on cross-sectional data. The two working hypotheses are proposed. [H1] Income inequality has a statistically significant impact on cryptocurrency use. [H2] Wealth inequality has a statistically significant impact on cryptocurrency use.
Interacting with Web Pages

In previous chapters, we have learned how objects work and how to build our own objects. However, JavaScript also comes with several existing, built-in objects for you to use. These standard objects are the gateway between your program and the rest of the system, including the HTML document, the screen, computer storage, communication facilities, and other important system features. In this chapter, we are going to use the standard document object to interact with the web page.
How a Computer Looks at Data

Chapter 3 covered the basics of how computers transmit data to each other over the Internet. This chapter expands on that, covering how documents are stored within the computer. Much of the information in this chapter, like the last one, is more background information than practical knowledge. The JavaScript programming language automates a lot of the data handling for you, so you don’t have to worry about it. Nonetheless, it is important to know what the computer is doing for you!
Modernizing JavaScript

Before we get started in some of the details about how applications in the real world are written, I wanted to take a moment and introduce you to some modern features of JavaScript which are commonly used in modern applications. Note that the goal of this book is not to provide a comprehensive introduction to JavaScript itself but rather to use JavaScript as a jumping point for learning programming in general. Nonetheless, I wanted to take some time and introduce a few modernizations of JavaScript that have been introduced over the years which you are likely to run into if you read JavaScript code. None of these are radical departures, but they do make JavaScript a little easier to read and write.
Basic JavaScript Syntax

All languages, whether human or computer, have what is called a syntax. The syntax of a language are the ways in which words and symbols are allowed to go together. For instance, consider the English sentence “I ate the the apple.” That sentence has a syntax error—I put two “the”s in a row. That’s simply not allowed (and nonsensical) in English.
Grouping Values Together with Objects and Arrays

So far, while programming, we have basically been dealing with simple values, such as individual numbers and strings. However, when writing computer programs, you usually have to deal with multiple values grouped together. For instance, think about a bank transaction—what values would you need to store? You would need to know when the transaction happened, how much the transaction was for, who sent the money, and who received the money. Therefore, you would need, at minimum, four values—the timestamp of the transaction, the amount, the account number it was coming from, and the account number that it was going to.
Manipulating Functions and Scopes

In Chapter 10 , we learned about functions and how they create local scopes. Chapter 13 went into further depth about how the JavaScript program stack helps JavaScript keep track of where it is in the program and what local scope to use. In this chapter, we are going to go deeper and show how functions can be passed as parameters and returned as values and how to generate new functions that inherit from a different scope than the global scope.
Big Data Systems Architecture and Data Security Fundamentals—Case Study Approach for a Hospital in Singapore

With data systems generating bigger data than ever before and also with data security under bigger threat, it is crucial of critical sectors like healthcare to revisit their Big Data Systems Architecture and Data Security Fundamentals. The organisation for the current case study chosen is a proposed Singapore based general hospital, SAI-GE. The proposed outcomes for the Big Data Systems Architecture and Data Security Fundamentals would be replicated for any similar hospitals across the globe. The various tools discussed are Ingestion Tool (Flume vs Kafka), Processing Tool (Hive vs Impala), Analysis Tool (Mahout Vs MLLib) and Orchestration Tool (Oozie vs Azkaban). Security Risk has been studied including Data ex-filtration by internal staff, Data ex-filtration by external threats, Poor data quality, Non-compliance to regulatory requirements and Disclosure Risk problem. List of security controls/measures that address the risks was studied and includes Preventive Control, Deductive Control and Corrective Control. Apart from the three key security controls, Access control which is also important security control is also studied. High Level Design Diagram along with Processing Design and Dataflow Diagram has been proposed for a hospital in Singapore, which would be replicated in other hospitals across with world with minor customizations to the regulatory framework and infrastructural capabilities.
Context Attention: Human Motion Prediction Using Context Information and Deep Learning Attention Models

This work proposes a human motion prediction model for handover operations. The model uses a multi-headed attention architecture to process the human skeleton data together with contextual data from the operation. This contextual data consists on the position of the robot’s End Effector (REE). The model input is a sequence of 5 s skeleton position and it outputs the predicted 2.5 future seconds position. We provide results of the human upper body and the human right hand or Human End Effector (HEE). The attention deep learning based model has been trained and evaluated with a dataset created using human volunteers and an anthropomorphic robot, simulating handover operations where the robot is the giver and the human the receiver. For each operation, the human skeleton is obtained using OpenPose with an Intel RealSense D435i camera set inside the robot’s head. The results show a great improvement of the human’s right hand prediction and 3D body compared with other methods.
An Exploration into People’s Perception About the Future of Cryptocurrencies and its Impact on the Financial World: Evidence from an Emerging Market

Cryptocurrencies are now a popular subject of discussion. Companies and investors worldwide have already started to accept the usage of cryptocurrencies; however, others are still rejecting it. Until now, it is not easy to ascertain the opinion of the mass population specially in the emerging markets. Accordingly, the purpose of this study is to learn how cryptocurrencies are perceived by the mass population to better understand the possible success and usage in the emerging market. In particular, this study digs more to discover on a personal level how people perceive the new technology, cryptocurrencies, which had yet to be understood as this market is still at an early stage specially in the emerging markets region. Another important takeaway from this research is that it examined and expounded on people’s future trends concerning the adoption of Cryptocurrencies. For the analysis, the research adopts a quantitative research methodology using a questionnaire. A 5-points Likert-scale questionnaire has been designed including questions for each variable. The data was collected from 300 respondents. The hypotheses have been tested and it is found that cryptocurrency is perceived to have a positive and significant impact on the financial world in the emerging market.
A Report on the Use of the rDSA Tool for Formative and Summative Assessment

The manual correction of assignments is a long and error-prone task, particularly pressing when such an assessment involves a large cohort of students. The paper summarises five years of design, development and deployment of a formative and summative assessment tool for the automated grading of data science exercises, based on R commands and comments written in natural language. The paper investigates the usability, engagement and grades of a large cohort of students. The results are positive, showing that the work finalised to improve the tool increased the user experience and engagement. Moreover, also the grades of students that used the tool were on average higher than the others, thus suggesting a positive effect of the rDSA tool also in terms of final learning outcomes.
Analyzing simple past tense through a functional and a formal perspective

This paper is aimed at comparing and presenting two grammar books about simple past tense teaching. One of them is Susan Kesner Bland Intermediate Grammar: From Form to Meaning and Use. And John e Alison Kooistra the power drill, reproducible 70 lessons. In order to do so, we trace the question “what’s the difference between teaching simple past tense in two different approaches?” We intend to bring up the functional and formal approach. Therefore, we inspire this work based on qualitative research in a descriptive method. For achieving our thesis, we cut out simple past tense throughout this paper. Hence, we intend to spot this work based on it. Thus, we concluded that, two grammar books that spread two different approaches: functional and formal. In deep, we found that the formal one is bound to rules, while the functional one is related to contextualized situations. Furthermore, the functional one is adjusted to contemporaneity in the classroom context. While the formal approach overview only on a universal grammar. Formal linguistics is embodied most notably by the work of Noam Chomsky and the paradigm of Generative Grammar. Afterward, we intend to reflect which approach should be better for a classroom and student’s learning.
Developing Access to Digital Archaeology Data Resources in Ireland

This article aims to summarise the current situation regarding digital archaeological archives in Ireland.
Archiving Archaeological Data in Croatia

This article aims to summarise the current situation regarding digital archaeological archives in Croatia.