Reviewerly/exHarmony huggingface dataset:
A Design and Optimization of a CGK-Based Fuzzy Granular Model Based on the Generation of Rational Information Granules

This study proposes an optimized context-based Gustafson Kessel (CGK)-based fuzzy granular model based on the generation of rational information granules and an optimized CGK-based fuzzy granular model with the aggregated structure. The conventional context-based fuzzy-c-means (CFCM) clustering generates clusters considering the input and output spaces. However, the prediction performance decreases when the specific data points with geometric features are used. The CGK clustering solves the above situation by generating valid clusters considering the geometric attributes of data in input and output spaces with the aid of the Mahalanobis distance. However, it is necessary to generate rational information granules (IGs) because there is a significant change in performance according to the context generated in the output space and the shape, size, and several clusters generated in the input space. As a result, the rational IGs are obtained by considering the relationship between the coverage and specificity of IG using the genetic algorithm (GA). Thus, the optimized CGK-based fuzzy granular models with the aggregated structure are designed based on rational IGs. The prediction performance was compared using the two databases to verify the validity of the proposed method. Finally, the experiments revealed that the performance of the proposed method is higher than that of the previous model.
APPLICATION OF INDIVIDUAL PROFILE TO ELECTRONIC HIGHER ENGINEERING AND SPECIALIZED CONTINUING EDUCATION

APPLICATION OF INDIVIDUAL PROFILE TO ELECTRONIC HIGHER ENGINEERING AND SPECIALIZED CONTINUING EDUCATION
THE IMPACT OF THE AGILE SYSTEM, KNOWLEDGE SHARING, AND EMPOWERMENT ON ORGANIZATIONAL ENTREPRENEURSHIP IN ORANGE TELECOMMUNICATION FIRMS

This study sought to investigate the impacts of an agile system, knowledge sharing, and empowerment on the organizational entrepreneurship within Orange, a telecommunications firm. In total, 278 samples were gathered after the sample-checking process was completed. The PLS program was then utilized to process all the data. The findings of this study reveal a set of relationships and linkages that can serve to enhance organizational entrepreneurship. More specifically, the findings indicate that an agile system has a positive and direct impact on entrepreneurship, including leadership and collaboration, self-organizing teams, effective changes, and both complexity and flexibility. In addition, knowledge sharing positively affects entrepreneurship, including work groups, the collaborative environment, knowledge repositories, training, and integration within the work environment. Moreover, empowerment has a direct and positive impact on entrepreneurship, including instruments, self-efficacy, self-advocacy, and competence. Interestingly, the present findings are inconsistent with those of previous studies showing the variables of interest to have no effect on data mining and entrepreneurship. Taken together, the findings of this study suggest that firms should begin to integrate the process of entrepreneurship into all transactional processes, documents, and orders. Firms should also start relying on agile and empowerment systems to effectively deal with knowledge sharing, keep pace with development and competition, develop more competitive advantages and new knowledge, and support and enhance the decision-making process. The novelty of the present study lies in highlighting the key dimensions of an agile system, knowledge sharing, and empowerment when it comes to enhancing organizational entrepreneurship within a telecommunications firm.
Design and Implementation of a Software Disaster Recovery Service for Cloud Computing-Based Aerospace Ground Systems

The data centers of cloud computing-based aerospace ground systems and the businesses running on them are extremely vulnerable to man-made disasters, emergencies, and other disasters, which means security is seriously threatened. Thus, cloud centers need to provide effective disaster recovery services for software and data. However, the disaster recovery methods for current cloud centers of aerospace ground systems have long been in arrears, and the disaster tolerance and anti-destruction capability are weak. Aiming at the above problems, in this paper we design a disaster recovery service for aerospace ground systems based on cloud computing. On account of the software warehouse, this service adopts the main standby mode to achieve the backup, local disaster recovery, and remote disaster recovery of software and data. As a result, this service can timely response to the disasters, ensure the continuous running of businesses, and improve the disaster tolerance and anti-destruction capability of aerospace ground systems. Extensive simulation experiments validate the effectiveness of the disaster recovery service proposed in this paper.
The Multi Layer Security Network Authentication System Development Through Blockchain Technology

As block chain technology is a new approach in security world. So, hereby we will describe the multilayer security network authentication system development through block chain technology as this article describes a multi-layer secure Internet of Things network concept block chain - based. The approach decreases the difficulties of real block chain technology deployment by separating the Iot devices into a cross de-centric networking and adopting block chain platform at all stages of the network, while keeping the block chain technology's heavily guarded and credibility assurance. It offers an Internet of Things wide-area networking solution. Block chain is a series of information-containing blocks. The data recorded within a block is determined by the kind of block chain. A Bit coin Block, for example, comprises information on the Sender, Receiver, and the quantity of bit coin to be transmitted. The Genesis block is the initial block in the chain. The block chain's objective is to distribute information among all persons that access it through an application. Reading and writing accessibility to this ledger can be unfettered ('permission less') or controlled (,permission‘). It is now possible to securely communicate, read, and save digital information using block chain. Furthermore, it employs cryptographic encryption to safeguard each transaction. Banks may raise their present security and transparency standards to new heights by doing so.
A Dynamic Service Trading in a DLT-Assisted Industrial IoT Marketplace

With the increasing demand for digitalization and participation in Industry 4.0, new challenges have emerged concerning the market of digital services to compensate for the lack of processing, computation, and other resources within Industrial Internet of Things (IIoTs). At the same time, the complexity of interplay among stakeholders has grown in size, granularity, and variation of trust. In this paper, we consider an IIoT resource market with heterogeneous buyers such as manufacturer owners. The buyers interact with the resource supplier dynamically with specific resource demands. This work introduces a broker between the supplier and the buyers, equipped with Distributed Ledger Technologies (DLT) providing a service for market security and trustworthiness. We first model the DLT-assisted IIoT market analytically to determine an offline solution and understand the selfish interactions among different entities (buyers, supplier, broker). Considering the non-cooperative heterogeneous buyers in the dynamic market, we then follow an independent learners framework to determine an online solution. In particular, the decision-making procedures of buyers are modeled as a Partially Observable Markov Decision Process which is solved using independent Q-learning. We evaluate both the offline and online solutions with analytical simulations, and the results show that the proposed approaches successfully maximize players’ satisfaction. The results further demonstrate that independent Q-learners achieve equilibrium in a dynamic market even without the availability of complete information and communication, and reach a better solution compared to that of centralized Q-learning.
MOTHER TONGUE ISSUES AND CHALLENGE IN LEARNING ENGLISH AS FOREIGN LANGUAGE

Learning English as a foreign language (EFL) is quite challenging to particular learners. Their mother tongue somehow can be such an obstacle in comprehending the language they learn. The interference of their mother tongue more or less influence EFL Learners language acquisition. The aims of this research are to find out (1) the interference of learners mother tongue in acquiring English; and (2) the challenge faced by EFL Learners in acquiring English as their foreign language. The population of this sample is EFL learners at University level in Bandung. The researcher used purposive sampling to collect the data. Triangulation is used during the data collection process. Those are observation, test items, and interview. Relevant theories are used to analyze the data. The data shows that the grammatical rule and phonological aspect of learners first language affect their language production.DOI:doi.org/10.24071/ijiet.2019.030208
Applied Bibliometric in the Advancement of Solar Energy Research

Bibliometrics has proven to be an efficient method for quantitative research on the statistical behavior of academic production, which allows analyzing existing data and documents to resolve trends in specific research fields. Considering the database downloaded from Web of Science, with the help of Hitscite and VOSviewer data analysis tool and Microsoft Excel table, 7,259 publications related to solar energy research from 2010 to 2020 were obtained. The purpose of this research work is to apply bibliometric analysis methods to the development of scientific research on solar energy, as an important part of renewable energies, to evaluate its progress in the last decades and to describe these trends. The results showed that since 2015, research on solar energy has increased, especially in countries such as the United States and China, due to the Paris treaties where the goal is that the average temperature of the earth by the year 2100 does not exceed 1.5 °C. Since greenhouse gases are the cause of the greatest impact of the increase in global temperature, it is expected that researchers will focus on harnessing green energy and take a step further to reduce fossil fuels.
THE ROLE OF SOCIAL IDENTITY AND SOCIAL SUPPORT IN OVERCOMING ACADEMIC STRESS – FIRST YEAR STUDENTS’ EXPERIENCE

The main goal of this research was to determine the role of social support and social identity in&nbsp;overcoming academic stress, based on the experiences of ﬁrst year university students. The research&nbsp; explores variables, such as ﬁrst year students’ academic stress levels, their stressors, effective and&nbsp; ineffective coping strategies, role of social identity and social support, inﬂuence of stress on academ- ic motivation and achievement. The research was conducted among ﬁrst year students of the three&nbsp; largest Georgian universities (Tbilisi State University, Ilia State University and Georgian Technical&nbsp; University). Both quantitative and qualitative methods were applied, with 252 survey respondents&nbsp; (150 girls, 100 boys) aged between 17 to 24 and 13 focus group participants (10 girls, 3 boys) aged between 18 to 20 years. The results show, that academic stress level among freshmen students is higher&nbsp; than average. The main reason of said stress is new living and social conditions, though preparing and&nbsp; publicly presenting their work is the biggest stressor in an academic setting. Among coping strategies,&nbsp; students use positive reinterpretation and growth and planning most often. Analysis show, that major&nbsp; predictor of academic success is low level of stress, with academic motivation and social support also&nbsp; being the key factors.&nbsp
Perceived benefits and barriers of using online journal systems

This study has established the perceived benefits and barriers of using online journal systems (OJS). A descriptive research design alongside a quantitative approach was used to establish perceived benefits and barriers of using online journal systems among University of Dar es Salaam faculty members. In the study data were gathered through survey questionnaires. The data were then organized and summarized through descriptive statistics in form of frequencies and percentages. The study reveals that a significant number of faculty members infrequently use the systems in their scholarly communication. Along this, the study reveals various benefits of using OJS as perceived by faculty members. The study also reveals diverse perceived barriers that undermine effective use of the systems. These include low internet bandwidth and technical difficulties. The study recommends that the UDSM has to take deliberate measures to enhance internet services through increasing bandwidth, alongside increasing training on the use of online journal systems.
IMPLEMENTING A COMPETENCE AND QUALIFICATIONS PROFILE COMPONENT TO SUPPORT COMPETENCE AND QUALIFICATION BASED LEARNING IN HIGHER EDUCATIONAL INSTITUTIONS

IMPLEMENTING A COMPETENCE AND QUALIFICATIONS PROFILE COMPONENT TO SUPPORT COMPETENCE AND QUALIFICATION BASED LEARNING IN HIGHER EDUCATIONAL INSTITUTIONS
CREATING A PRODUCTION PIPELINE FOR 360° LEARNING ENVIRONMENTS

Appears in: EDULEARN22 Proceedings Publication year: 2022Pages: 5818-5824ISBN: 978-84-09-42484-9ISSN: 2340-1117doi: 10.21125/edulearn.2022.1364Conference name: 14th International Conference on Education and New Learning TechnologiesDates: 4-6 July, 2022Location: Palma, Spain
Split logarithm problem and a candidate for a post-quantum signature scheme

A new form of the hidden discrete logarithm problem, called split logarithm problem, is introduced as primitive of practical post-quantum digital signature schemes, which is characterized in using two non-permutable elements $A$ and $B$ of a finite non-commutative associative algebra, which are used to compute generators $Q=AB$ and $G=BQ$ of two finite cyclic groups of prime order $q$. The public key is calculated as a triple of vectors $(Y,Z,T)$: $Y=Q^x$, $Z=G^w$, and $T=Q^aB^{-1}G^b$, where $x$, $w$, $a$, and $b$ are random integers. Security of the signature scheme is defined by the computational difficulty of finding the pair of integers $(x,w)$, although, using a quantum computer, one can easily find the ratio $x/w\bmod q$.
That tool is rubbish!…or is it?

Digital forensic practitioners often utilise a range of tools throughout their casework in order to access, identify and analyse relevant data, making them a vital part of conducting thorough, efficient and accurate digital examinations of device content and datasets. Whilst their importance cannot be understated, there is also no guarantee that their functionality is free from error, where similarly, no practitioner can 100% assure that their performance is flawless. Should an error occur during an investigation, assuming that it has been identified, then determining the cause of it is important for the purposes of ensuring quality control in both the immediate investigation and for longer-term practice improvements. Perhaps anecdotally, a starting position in any postmortem review of an error may be to suspect that any tools used may be at fault, where recent narratives and initiatives have enforced the need to evaluate all tools prior to them being used in any live investigation. Yet, in addition, an error may occur as a result of a practitioner's investigative conduct. This work discusses the concept of 'fault-attribution', focusing on the roles of the forensic tool and practitioner, and proposes a series of principles for determining responsibility for an investigative error.
A Study on the Structural Relationship between COVID-19 and the Pandemic University Lifelong Education Intention to Continue Learning

This study clarified the structural relationship between the quality of non-face-to-face lecture quality, learning immersion, learning satisfaction, and learning continuation intention of university lifelong education adult learners. The results of an online survey of 358 adult learners of lifelong education in Seoul and Gyeonggi-do universities are as follows. First, educational service quality tangibility and empathy had a positive effect on flow, and the influence of tangibility was relatively large. Second, all five factors of educational service quality, tangibility, reliability, responsiveness, certainty, and empathy, had a positive effect on learning satisfaction, but tangibility had a negative effect. Third, between learning flow and learning satisfaction and continuous participation intention, learning satisfaction was found to have an effect on learning flow and continuous participation intention, and learning flow also had an effect on continuous participation intention. Finally, as a result of the mediating effect of university learning flow, a partial mediating effect existed between learning satisfaction and continued participation intention. This study is expected to be generalized as basic data in the establishment of strategies and operation of non-face-to-face lectures for liberal arts for adult learners of lifelong education at university.&#x0D;
Mobile Instant Messaging Communication Etiquette: Educators’ Voices and Point of View

Communication using digital media has highly increased since the pandemic, including within education context. Different types of expectation between the involved parties sometimes causing communication challenge for both. This study aims to find out how educators viewed the courtesy shown by the students during interactions using instant messaging media. Specifically, it aims to find out politeness indicators, communication challenges, and educators’ expectations. The interview questions included the concept of appropriate and polite messages between students as well as the overall attitudes of students within WhatsApp communication. The interviews are transcribed and coded based on what is listed in the framework. The results of the study reveal that most lecturers agreed students are adept in establishing communication through WhatsApp, compared to those in the past by incorporating greetings to open a conversation, stating identity, thanking and closing to end the conversation. Aside from a small number of students having trouble following etiquette, challenges appeared mostly when educators did not set clear rules on what they expected regarding WhatsApp communication. Educators have lower expectations on WhatsApp use in non-academic context.
Evaluation of Beta-2 Integrin and Platelets Roles in Sickle Cell Disease Pathogenicity in Basrah Governorate Patients

Sickle cell disease (SCD) comprises an inherited blood disorder that is life long and affects many people globally. In spite of the development in treatment, SCA is a considerable cause of mortality and morbidity. The present study tries to assess the role of leukocytes represented by β integrin(CD18) and platelets and their productivity in the pathogenicity of disease during the steady state and crisis in comparison with the healthy as-control group, SCD patients (15) enrolled during crisis and steady state (follow up) showed a significant increase in leukocytes and platelets cells productivity during crisis when compared to the steady state and in the steady state when compared to the healthy control group . In this study, SCD pathophysiology in steady state and crisis affected by the platelets account and leukocyte activation triggered by inflammatory factors and reflex on the adherence and attachment between cells and blood vessel led to vascular occlusion (VOC).
Co-presence in Remote VR Co-design: Using Remote Virtual Collaborative Tool Arkio in Campus Design

A participatory co-design approach is most often counted as a time-consuming method and ends without any concrete solution.Since the new evolution of virtual reality-based communication tools, researchers are trying to integrate citizens in the spatial design making process in-situ situation.However, there has been little research on how remotely co-presence in VR can integrate end-users in a co-design environment in re-envisioning their own using spaces.This study adopts a remote VR collaborative platform Arkio to involve novice designers remotely to design their known urban places.Participants are in three different virtual communication systems.Groups can actively engage in co-creating 3D artefacts relevant to a virtual urban environment and communicate through audio together in a remote setting.The platform was tested with a group of graduate students.The given design task was to re-envision the urban places of their academic institute campus.The sessions have been recorded and transcribed for analysis.The analysis of remote conversations shows that co-presence existed while they were engaged in co-design.
Mobile Mixed Reality for Environmental Design Using Real-Time Semantic Segmentation and Video Communication - Dynamic Occlusion Handling and Green View Index Estimation

Mixed reality (MR), that blends the real and virtual worlds, attracted attention for consensus-building among stakeholders in environmental design with the visualization of planned landscape onsite.One of the technical challenges in MR is the occlusion problem which occurs when virtual objects hide physical objects that should be rendered in front of virtual objects.This problem may cause inappropriate simulation.And the visual environmental assessment of present and proposed landscape with MR can be effective for the evidence-based design, such as urban greenery.Thus, this study aims to develop a MR-based environmental assessment system with dynamic occlusion handling and green view index estimation using semantic segmentation based on deep learning.This system was designed for the use on a mobile device with video communication over the Internet to implement a real-time semantic segmentation whose computational cost is high.The applicability of the developed system is shown through case studies.
Do You Like Dancing Robots? AI Can Tell You Why

Humanoid robots have been successfully used in artistic research areas, and many works have studied and implemented systems for robotic dance. However, only few works take into account the human evaluation of these artistic outputs. This work makes a step in the direction of addressing the complex task of defining criteria for the evaluation of robotic dance performances. For this aim, in the context of a Master course on Fundamentals of Artificial Intelligence (AI), we have organized a challenge among our students and the winner is decided on the basis of a questionnaire we defined for robotic dance evaluation. In addition, we created a public dataset that maps the features of each choreography to the judgements provided by audience with different backgrounds on several evaluation targets. Then, we tested various Machine Learning models for predicting the audience evaluation, and we propose a choreography features importance analysis to help both human choreographers and AI algorithms to create dance performances with a major impact on the audience. We also suggest new directions for future interdisciplinary research.