Reviewerly/exHarmony huggingface dataset:
DIGITAL CYBER FORENSICS CONTRIBUTION FOR EMAIL ANALYSIS

In the past two decades, the Internet has become as open, publicly and widely used as a source of data transmission and exchanging the messages between criminals, terrorists and those who have illegal motivations. Moreover, exchanging important data between various military and financial institutions, even ordinary citizens. From this view, there is one of the important means of exchanging information widely used on the Internet medium is e-mail. Email messages are digital evidence that has been become one of the important means to adopt by courts in many countries and societies as evidence relied upon in condemnation. This paper presents a distinct technique for classifying emails based on data processing and mining, trimming, refinement, and then adapts several algorithms to classify these emails and then using SWARM algorithm to obtain practical and accurate results also using hybrid English lexical dictionary SentiWordNet3.0 for email forensic analysis then deal with a machine learning algorithm. The proposed system is capable of learning in an environment with large and variable data. To test the proposed system, have to select available data which Enron Data set. A high accuracy rate (95%) was obtained, which is higher than the classification rates mentioned in previous research papers presented in section 2 in this paper.
CRYPTO-SPATIAL: AN OPEN STANDARDS SMART CONTRACTS LIBRARY FOR BUILDING GEOSPATIALLY ENABLED DECENTRALIZED APPLICATIONS ON THE ETHEREUM BLOCKCHAIN

Abstract. Blockchain is an emerging immature technology that disrupt many well established industries nowadays, like finance, supply chain, transportation, energy, official registries (identity, vehicles, …). In this contribution we present a smart contracts library, named Crypto-Spatial, written for the Ethereum Blockchain and designed to serve as a framework for geospatially enabled decentralized applications (dApps) development. The main goal of this work is to investigate the suitability of Blockchain technology for the storage, retrieval and processing of vector geospatial data. The design and the proof-of-concept implementation presented are both based on the Open Geospatial Consortium standards: Simple Feature Access, Discrete Global Grid Systems (DGGS) and Well Known Binary (WKB). Also, the FOAM protocol concept of Crypto-Spatial Coordinate (CSC) was used to uniquely identify spatial features on the Blockchain immutable ledger. The design of the Crypto-Spatial framework was implemented as a set of smart contracts using the Solidity object oriented programming language. The implemented library was assessed toward Etheruem’s best practices design patterns and known security issues (common attacks). Also, a generic architecture for geospatially enabled decentralized applications, combining blockchain and IPFS technologies, was proposed. Finally, a proof-of-concept was developed using the proposed approach which main purpose is to port the UN/FAO-SOLA to Blockchain techspace allowing more transparency and simplifying access to users communities. The smart contracts of this prototype are live on the Rinkeby testnet and the frontend is hosted on Github pages. The source code of the work presented here is available on Github under Apache 2.0 license.
Investigation of Digital Game Addiction Levels of High School Students

Technological developments that have influenced every moment of our lives have started to be effective in game concept and digital games have been replaced by traditional games.As a result of these developments, it was aimed to determine the levels of digital game addiction of students at high school level and to investigate whether various variables are effective on addiction.A total of 277 students participated in the study based on volunteering concept.Digital game addiction scale developed by hazar and hazar (2019) was used in the research.It was understood that the students who participated in the research had high levels of digital game addiction.It was determined that age factor had no effect on digital game addiction level.However, it has been observed that there are differences in gender, time zone and material variables used on digital game addiction.
The better pseudo-random number generator derived from the library function rand() in C/C++

We choose a better pseudo-random number generator from a list of eight pseudo-random number generators derived from the library function rand() in C/C++, including rand(); i.e. a random number generator which is more random than all the others in the list.rand() is a repeatable pseudo-random number generator.It is called pseudo because it uses a specific formulae to generate random numbers, i.e. to speak the numbers generated are not truly random in strict literal sense.There are available several tests of randomness, some are easy to pass and others are difficult to pass.However we do not subject the eight set of pseudo random numbers we generate in this work to any known tests of randomness available in literature.We use statistical technique to compare these eight set of random numbers.The statistical technique used is correlation coefficient.
On the Decidability of Expressive Description Logics with Transitive Closure and Regular Role Expressions

We consider fragments of the description logic SHOIF extended with regular expressions on roles. Our main result is that satisfiability and finite satisfiability are decidable in two fragments SHOIF^1 and SHOIF^2, NExpTime-complete for the former and in 2NExpTime for the more expressive latter fragment. Both fragments impose restrictions on regular role expressions of the form r*. SHOIF^1 encompasses the extension of SHOIF with transitive closure of roles (when functional roles have no subroles) and the modal logic of linear orders and successor, with converse. Consequently, these logics are also decidable and NExpTime-complete.
Preference-based Inconsistency-Tolerant Query Answering under Existential Rules

Query answering over inconsistent knowledge bases is a problem that has attracted a great deal of interest over the years. Different inconsistency-tolerant semantics have been proposed, and most of them are based on the notion of repair, that is, a "maximal" consistent subset of the database. In general, there can be several repairs, so it is often natural and desirable to express preferences among them. In this paper, we propose a framework for querying inconsistent knowledge bases under user preferences for existential rule languages. We provide generalizations of popular inconsistency-tolerant semantics taking preferences into account and study the data and combined complexity of different relevant problems.
A Novel Analytical Approach Using Rough Set and Genetic Algorithm of a Stable Sensorless Induction Motor Drives in the Regenerating Mode

A novel approach for optimized observer feedback gains of a stable sensorless induction motor (IM) drives at very low speeds in the regenerating mode is presented.The proposed approach depends on the rough set (RS) and genetic algorithm (GA) in a cascading construction.The RS is used to obtain the most dominant machine parameters that affect the stability of the sensorless IM drive at very low speeds in the regenerating mode.The parameter's values are randomly selected to investigate their influence on the stability.Then, a reduction is obtained for the most dominant machine parameters affecting the stability.GA is applied to search for the optimal design of the observer feedback gains under the dominant parameter deviation.The proposed RS theory and GA guarantees a stable speed estimate and efficient sensorless IM drive at very low speeds in the regenerating mode.Theoretical analysis, design procedure, and simulation work of the proposed approach are presented.A sensorless IM drive is executed in the laboratory using the digital signal processor (DSP)-DS1104 control board.Extensive results in the different operating conditions to verify the efficacy of the proposed approach are presented and compared with previous works.
Artistic Reality in the Space of Digital Technologies: Towards the Problem of Art Criticism

The article is devoted to the comparison of two realities – the digital and the artistic. We demonstrate the principal difference in the mechanisms of their creation. Contemporary artistic practice and theory are undergoing changes to reflect cultural and technological transformations. Today, digital technologies are ubiquitous and widely used in documenting artworks, making them popular and widely available. Also, digital technologies that work with more subtle tools and materials become especially popular and open new horizons for art. However, the structure of digital technologies does not, and possibly never will, enable a living energy impulse of the artwork to become a part of the virtual world. The nature of digital reality is rooted not in the rhythmic but in algorithmic elements, thus putting limitations to what can be achieved through such methods. We discuss the role of a work of art as a biogeochemical factor and the role of digital technologies in deeper connection between viewers and artworks.&#x0D; Keywords: artistic reality, digital reality, ”living matter”, computer graphics, theory of art.
An External Client-Based Approach for the Extract Class Refactoring: A Theoretical Model and an Empirical Approach

A commonly observed ambiguity of a class is simply a reflection of multiple methods’ implementation within an individual class. The process of Extract Class refactoring is, therefore, used to separate the different responsibilities of a class into different classes. A major limitation in existing approaches of the Extract Class refactoring is based on factors that are internal to the class, i.e., structural and semantic relationships between methods, in order to identify and separate the responsibilities of the class which are inadequate in many cases. Thus, we propose a novel approach that exploits the clients of the class to support the Extract Class refactoring. The importance of this approach lies in its usefulness to support existing approaches since it involves factors external to the class, i.e., the clients. Moreover, an extensive empirical evaluation is presented to support the proposed method through the utilization of real classes selected from two open source systems. The result shows the potential of our proposed approach and usefulness that leads to an improvement in the quality of the considered classes.
The invisible hole of cybersecurity insurance services

This study examines the cybersecurity insurance market in the United States (U.S.) in order to reveal if an “invisible hole” of services and information exists in this market. This is performed by mapping the cybersecurity insurance services, offered by insurance companies, to cope with cybersecurity risks, and finding in which way these services are exposed, visible and comprehensive, in the insurance companies' websites. The research questions examined the extent cybersecurity insurance services offered by the main U.S. insurance companies; the visibility of such services on their websites; and the types of services offered. The sample included 44 insurance companies based upon nine lists of the top U.S. insurance companies. The findings present that most companies (68%) offer cybersecurity insurance services, while only a few (26.92%) expose such information in a visible way. Moreover, on the one hand, the insurance companies use general terms for services, which may be blur and ambiguous, while on the other hand, there is a widespread of specific services, most of them (81%) provided only by few companies. These findings may derive due to insufficient understanding of cybersecurity insurance clients' needs and may reflect the lack of maturity of the cybersecurity insurance market, as matured marketplaces are mostly more standardized. This study demonstrates that there is a long way to advance until the insurance market for cybersecurity risks will be mature, customers (businesses and organizations) will understand the needs for such insurance, and insurance companies will develop and offer relevant insurance services.
Plague, Pedagogy and Pleasure: Creative Interventions in Higher Education

The present contribution addresses the complex interaction between creative and affective responses to the COVID-19 crises in higher educational practices Looking authoethnographically at my teaching practice, I diffract my reading by means of an Italian novel, the plot of which occurs during an historical epidemic I end up formulating questions about the relationship between creativity, technology and affects in the post-pandemic university How universities decide to use the knowledge that they have gained during the COVID-19 disruption of academic life remains to be discovered
Banknote Classification Based on Convolutional Neural Network in Quaternion Wavelet Domain

In this paper, we propose a new framework for banknote classification based on quaternion wavelet transform (QWT) and deep convolutional neural network. Firstly, the QWT is applied to describe the phase and magnitude of different banknote images which has inherent directional sensitivity and multi-scale framework. Then we design a deep convolutional neural network which is trained on banknote images along with the magnitude and phase of quaternion wavelet coefficients. We assign the neural weights on the output probabilities of deep convolutional neural network and update these weights by utilizing the back propagation algorithm. Finally, the trained networks with decision of a weighted sum and the magnitude and the phase of quaternion wavelet networks are utilized for banknote image classification. The performance of our algorithm is experimentally verified on a variety of banknote databases. Experimental results show that the proposed algorithm achieves superior performance compared with other state-of-the-art banknote classification algorithms. The proposed algorithm can also satisfy the real-time requirements of the banknote sorting system.
Unrolled Cryptography on Silicon

Cryptographic primitives with low-latency performance have gained momentum lately due to an increased demand for real-time applications. Block ciphers such as PRINCE enable data encryption (resp. decryption) within a single clock cycle at a moderately high operating frequency when implemented in a fully-unrolled fashion. Unsurprisingly, many typical environments for unrolled ciphers require protection against physical adversaries as well. Yet, recent works suggest that most common SCA countermeasures are hard to apply to low-latency circuits. Hardware masking, for example, requires register stages to offer resistance, thus adding delay and defeating the purpose of unrolling. On another note, it has been indicated that unrolled primitives without any additional means of protection offer an intrinsic resistance to SCA attacks due to their parallelism, asynchronicity and speed of execution. In this work, we take a closer look at the physical security properties provided by unrolled cryptographic IC implementations. We are able to confirm that the nature of unrolling indeed bears the potential to decrease the susceptibility of cipher implementations significantly when reset methods are applied. With respect to certain adversarial models, e.g., ciphertext-only access, an amazingly high level of protection can be achieved. While this seems to be a great result for cryptographic hardware engineers, there is an attack vector hidden in plain sight which still threatens the security of unrolled implementations remarkably – namely the static power consumption of CMOS-based circuits. We point out that essentially all reasons which make it hard to extract meaningful information from the dynamic behavior of unrolled primitives are not an issue when exploiting the static currents for key recovery. Our evaluation is based on real-silicon measurements of an unrolled PRINCE core in a custom 40nm ASIC. The presented results serve as a neat educational case study to demonstrate the broad differences between dynamic and static power information leakage in the light of technological advancement.
Mobile applications for quality improvement in technical and vocational education: A case study of Saudi Arabia

Mobile applications are becoming ubiquitous in modern organizations in both services and manufacturing.With an increased number of smartphone applications and the benefits acquired from them, many private and government organizations tend to use this service.In developing countries, such as Saudi Arabia, this service has been introduced in order to keep pace with the development of the world's change.In fact, mobile applications have been adopted among the strategic objectives within "Saudi Arabia's Vision 2030" and the National Transformation Program launched recently by the country's leadership.However, many organizations, including Technical and Vocational Training Corporation (TVTC), started to implement smartphone applications as a part of their services.Hail College of Technology (HCT) has launched a smartphone application called "Tahseen App" to improve quality practices.The approach was quantitative in nature as it looks for customers' opinions and thoughts about this service to help HCT to develop solutions and recommendations for the future of "Tahseen App."The data gathering was conducted through a questionnaire to analyze the features and the effectiveness of the "Tahseen App."Also, to analyze consumers' perceptions and needs regarding smartphone apps.This paper stated that "Tahseen App" has some good features and impact on quality improvement; however, one of the most important issues is the fact that users tend to likely prefer to participate and engage in apps more often than the traditional ways based on suggestions or complaints box.Moreover, the findings have estimated that leadership is a key factor in the successful path of organizations.
Green University Using Cloud Based Internet of Things Model for Energy Saving

The research was conducted to study and develop a Green University using Cloud based Internet of Things model for energy saving. The aims of this study were 1) to study and design 2) to evaluate a model of Green University using Cloud based Internet of Things for energy saving. There are two phases of the research method. The first phase included the model design: 1) to study, analyze, and synthesize the contents, 2) to develop a process model of Green University using Cloud based Internet of Things, 3) to present the constructed model, and 4) to conclude the results. The second phase is referred to an evaluation of the model. Nine experts from Green University&amp;rsquo;s Electrical, Information Technology, and university management team were included in the research as sample group. Then, the data were analyzed by standard deviations and means. The model development process has 3 components that include 10 procedures. This model helps to energy saving. As the overall model was shown at a very good level, the experts agreed.
Epic Ramayana As A Medium for Teaching Indonesian Culture and Language: A Perspective of Darmasiswa Students

This paper discusses the epic Ramayana as a medium for teaching Indonesian culture and Indonesian language for the students of Darmasiswa RI / DRI (Darmasiswa of Republic of Indonesia). The epic Ramayana story contains adjective phrases as a media for teaching Indonesian culture which is full of the value of character education. This paper can be a reference for students and teachers who study and teach Indonesian culture and also Indonesian language for foreign speakers. Besides, it can also be beneficial for those who want to learn more about the structure of Indonesian language and character education of with the values of Indonesian culture in accordance with Ramayana text in which good character and personality become the main goal of national education in Indonesia. The research methodology statement is missing in this abstract. Considering that the Darmasiswa RI program is also part of education in Indonesia, the education of Indonesian character values cannot be separated from the education followed by Darmasiswa RI program participants. For this reason, there are two main points discussed in this paper, (1) the Ramayana text as a medium for teaching Indonesian culture and enhancing the mastery of Indonesian language and (2) the adjective phrase in the Ramayana text as a medium for the education of Indonesian character values. Theoretically and practically, this paper can contribute to the world of education both in terms of Indonesian culture and language and the noble values of Indonesian characters for foreign speakers, so that it can help in improving the success of national education, and also to improve the competitiveness of the nation.
Categorization of Malay Social Media Text and Normalization of Spelling Variations and Vowel-less Words

As more data are being introduced, it brings along with it missing values, inconsistencies, and heterogeneities, or so-called unclean aspects. Text analytics relies on clean data to produce reliable results. Pre-processing is an essential phase in text analytics, specifically language detection and normalization. The problem with conducting text analytics on Malay social media text is how substantially it has transformed from formal Malay in terms of spelling and construction, making it difficult to process them. Recent advances have shown works to normalize yet cherry-picked specific types of Malay social media text where their descriptions were listed in simple and narrow categorizations. A formal categorization is necessary to provide significant description of the different patterns of Malay social media text, allowing the selection of suitable methods in handling them. In this paper, we propose an inexhaustive formal categorization for Malay social media text based on inherent nature. We refer to them as Social Media Malay Language (SMML) to differentiate them from the standard Malay language. They are spelling variations, Malay-English mix sentences, loan words/phrases, slang-based words, and vowel-less words. Also, in this work, we conducted a normalization on two of the SMML categories, spelling variations, and vowel-less words, using two similarity matching techniques (i.e., nGram Tversky Index and Levenshtein). Our result shows that similarity-matching techniques can detect both categories, but a more sophisticated technique is necessary to improve the precision score. The normalization of the rest of the categories is extensive research works.
Evaluating Usability of Academic Web Portals for Clearance Services

Clearance services regarding outgoing or graduating students are deficient in most academic web portals and the few existing are prone to serious usability challenges.A framework for a cybernated clearance portal was proposed and implemented as an integral prototype system of the object study.Data were gathered and evaluated using a survey-based usability evaluation method.The resulting system was then evaluated by selected number of participants to determine its usability level in terms of effectiveness, efficiency, and satisfaction.Results indicated that participants of the experiment were of the perception that the system was satisfactorily easy to use with an average mean of 7.37 portraying the system usability satisfaction rate with the "Easy" level.This further affirmed that the developed system was easy to use (effective), facilitates task completion (efficient), and was preferred to their existing rigorous approach of executing graduate's clearance services. .