bluuebunny/crossref_metadata_2025 huggingface dataset:
Claudel — Dante 1921
Authors: Millet-Gérard Dominique
Published: September 2021

Cet article étudie l’ Ode jubilaire pour le six-centième anniversaire de la mort de Dante , composée par Claudel sur la suggestion de l’italianiste Henry Cochin et publiée dans le Bulletin du jubilé du Comité catholique français. L’ Ode est évoquée à deux reprises dans la Revue de littérature comparée de 1921. Doublé — comme dans la Vita Nova  — d’un texte en prose explicatif, ce long dithyrambe en vers libres, nourri de citations de Dante, est esentiellement constitué d’une double prosopopée, celle de Béatrice suivant celle de Dante, sur les thèmes de l’exil, de l’amour et de la Joie, ce qui en fait un palimpseste du Soulier de Satin . De fait, l’impact autobiographique de l’ Ode apparaît manifestement au regard des Lettres à Ysé contemporaines, et récemment livrées au public. Célébration et comparaison semblent ici céder le pas à une discrète substitution.
Adapted block hybrid method for the numerical solution of Duffing equations and related problems
Authors: Abdulganiy Ridwanulahi Iyanda ,   Key Laboratory of Intelligent Information Processing and Control, Chongqing Three Gorges University, Wanzhou, Chongqing 404100, China, Wen Shiping , Feng Yuming , Zhang Wei , Tang Ning ,   Department of Education, Distance Learning Institute, University of Lagos, Akoka, Nigeria,   Australian AI Institute, University of Technology Sydney, Ultimo NSW 2007, Australia,   Chongqing Engineering Research Center of Internet of Things and Intelligent Control Technology, Chongqing Three Gorges University, Wanzhou, Chongqing 404100, China,   School of Three Gorges Artificial Intelligence, Chongqing Three Gorges University, Wanzhou, Chongqing 404100, China
Published: September 2021

Problems of non-linear equations to model real-life phenomena have a long history in science and engineering. One of the popular of such non-linear equations is the Duffing equation. An adapted block hybrid numerical integrator that is dependent on a fixed frequency and fixed step length is proposed for the integration of Duffing equations. The stability and convergence of the method are demonstrated; its accuracy and efficiency are also established.
De quelques pratiques universitaires de littéracie. Discours croisés d’étudiants et d’enseignants sur l’écriture en sciences de l’éducation
Authors: Reuter Isabelle Delcambre et Yves
Published: September 2021

La recherche dans laquelle cette étude s’insère vise à mieux comprendre les pratiques des écritures universitaires des étudiants et des enseignants et à approcher leurs relations, oppositions ou congruences. Pour ce faire, les écrits sont envisagés en tant que genres disciplinaires. Ainsi pouvons-nous considérer les effets des inscriptions disciplinaires sur ces pratiques d’écriture, d’aide à l’écriture, d’évaluation... Dans cet article nous montrons quels éléments apparaissent comme spécifiques des écritures produites en sciences de l’éducation, relativement à celles inscrites dans d’autres disciplines universitaires telles la psychologie ou l’histoire. Nous nous appuyons pour cela sur les analyses de discours d’étudiants et d’enseignants de ces disciplines, recueillis au travers de questionnaires ouverts et de focus groups.
Introduction to Smart Grid and Micro-Grid Systems
Authors: Nadweh Safwan , Barakat Zeina
Published: September 2021

This chapter describes the upcoming technology for electrical power systems that gives the appropriate solution for the integration of the distributed energy resources. In this chapter, different categories of smart grids have been classified, and the advantages, weakness, and opportunities of each one, are given in addition to determining its own operating conditions. Micro-grids are the most common kind of smart grid. It has been classified under different criteria, such as architecture with different topology (connected mode, island mode, etc.) and demand criteria (simple micro grids, multi-DG, utility) and by capacity into simple micro-grid, corporate micro-grid, and independent micro-grid, and by AC/DC type to DC micro-grids, AC micro-grids, Hybrid micro-grids. Finally, most familiar Micro-grid components have been discussed such as an energy management system along with several types of control and communication systems in addition to the economic study of a micro-grids.
Smart Cities, Smart Grids, and Smart Grid Analytics
Authors: Smyth Shaun Joseph , Curran Kevin , McKelvey Nigel
Published: September 2021

The introduction of the 21st century has experienced a growing trend in the number of people who choose to live within a city. Rapid urbanisation however, comes a variety of issues which are technical, social, physical and organisational in nature because of the complex gathering of large population numbers in such a spatially limited area. This rapid growth in population presents new challenges for the already stretched city services and infrastructure as they are faced with the problems of finding smarter methods to deal with issues including: traffic congestion, waste management and increased energy usage. This chapter examines the phenomenon of smart cities, their many definitions, their ability to alleviate the discomforts cities suffer due to rapid urbanisation and ultimately offer an improved and more sustainable lives for the city's citizens. This chapter also highlights the benefits of smart grids, their bi-directional real-time communication ability, and their other qualities.
Cyber-Physical System for Smart Grid
Authors: Faroug M. Osman Nagi , A. Elamin Ali Ahmed , Sayed Ali Ahmed Elmustafa , Saeed Rashid A.
Published: September 2021

A smart grid is an advanced utility, stations, meters, and energy systems that comprises a diversity of power processes of smart meters, and various power resources. The cyber-physical systems (CPSs) can play a vital role boosting the realization of the smart power grid. Applied CPS techniques that comprise soft computing methods, communication network, management, and control into a smart physical power grid can greatly boost to realize this industry. The cyber-physical smart power systems (CPSPS) are an effective model system architecture for smart grids. Topics as control policies, resiliency methods for secure utility meters, system stability, and secure end-to-end communications between various sensors/controllers would be quite interested in CPSPS. One of the essential categories in CPSPS applications is the energy management system (EMS). The chapter will spotlight the model and design the relationship between the grid and EMS networks with standardization. The chapter also highlights some necessary standards in the context of CPSPS for the grid infrastructure.
An Intelligent Grid Network Based on Cloud Computing Infrastructures
Authors: Annamalai Suresh , Udendhran R.  , Vimal S.
Published: September 2021

This chapter covers important topics in development of efficient energy girds. Inefficient power generation, unbalanced consumption patterns that lead to underutilization of expensive infrastructure on the one hand, and severe overload on the other, as well as urgent issues of national and global concern such as power system security and climate change are all driving this evolution. As the smart grid concept matures, we'll see dramatic growth in green power production: small production devices such as wind turbines and solar panels or solar farms, which have fluctuating capacity outside of the control of grid operators. Small companies that specialize in producing power under just certain conditions will boom in forthcoming years. Energy is stored in the storage during low-cost periods, and the stored energy is used during high-cost periods to avoid the expensive draw from the grid. The authors evaluate the impact of large-scale energy storage adoption on grid electricity demand.
Optimized Base Station Sleeping and Smart Grid Energy Procurement Scheme to Improve Energy Efficiency
Authors: Wang Qiang , Liu Hai-Lin
Published: September 2021

In this chapter, the authors propose a joint BS sleeping strategy, resource allocation, and energy procurement scheme to maximize the profit of the network operators and minimize the carbon emission. Then, a joint optimization problem is formulated, which is a mixed-integer programming problem. To solve it, they adopt the bi-velocity discrete particle swarm optimization (BVDPSO) algorithm to optimize the BS sleeping strategy. When the BS sleeping strategy is fixed, the authors propose an optimal algorithm based on Lagrange dual domain method to optimize the power allocation, subcarrier assignment, and energy procurement. Numerical results illustrate the effectiveness of the proposed scheme and algorithm.
DSM for Energy Optimization and Communications Within Smart Grid CPSs
Authors: Abed Sa'ed , Abdelaal Areej , Gawanmeh Amjad
Published: September 2021

Energy demand has increased significantly in the recent years due to the emerging of new technologies and industries, in particular in the developing countries. This increase requires much more developed power grid system than the existing traditional ones. Smart grid (SG) offers a potential solution to this problem. Being one of the most needed and complex cyber-physical systems (CPS), SG has been addressed exhaustively by researchers, from different views and aspects. However, energy optimization yet needs much more studying and examination. Therefore, this chapter presents a comprehensive investigation and analysis of the state-of-the-art developments in SG as a CPS with emphasis on energy optimization techniques and challenges. It also surveys the main challenges facing the SG considering CPS factors and the remarkable accomplishments and techniques in addressing these challenges. In addition, the document contrasts between different techniques according to their efficiency, usage, and feasibility. Moreover, this work explores the most effective applications of the SG as a CPS.
IoE-Based Control and Monitoring of Electrical Grids
Authors: Pinto Nelson , Cruz Dario , Monteiro Jânio , Cabrita Cristiano , Semião Jorge , Cardoso Pedro J. S. , Oliveira Luís M. R. , Rodrigues João M. F.
Published: September 2021

In many countries, renewable energy production already represents an important percentage of the total energy that is generated in electrical grids. In order to reach higher levels of integration, demand side management measures are yet required. In fact, different from the legacy electrical grids, where at any given instant the generation levels are adjusted to meet the demand, when using renewable energy sources, the demand must be adapted in accordance with the generation levels, since these cannot be controlled. In order to alleviate users from the burden of individual control of each appliance, energy management systems (EMSs) have to be developed to both monitor the generation and consumption patterns and to control electrical appliances. In this context, the main contribution of this chapter is to present the implementation of such an IoT-based monitoring and control system for microgrids, capable of supporting the development of an EMS.
Communications Technologies for Smart Grid Applications
Authors: Tuna Gurkan , Daş Resul , Gungor Vehbi Cagri
Published: September 2021

Smart grid is a modern power grid infrastructure for improved efficiency, reliability, and safety, with smooth integration of renewable and alternative energy sources, through automated control and modern communications technologies. The smart grid offers several advantages over traditional power grids such as reduced operational costs and opening new markets to utility providers, direct communication with customer premises through advanced metering infrastructure, self-healing in case of power drops or outage, providing security against several types of attacks, and preserving power quality by increasing link quality. Typically, a heterogeneous set of networking technologies is found in the smart grid. In this chapter, smart grid communications technologies along with their advantages and disadvantages are explained. Moreover, research challenges and open research issues are provided.
Fault Analysis and Protection of Low-Voltage DC Microgrid Equipped by Renewable Energy Resources
Authors: Bayati Navid , Hajizadeh Amin , Soltani Mohsen
Published: September 2021

This chapter consists of two sections, ‘Modelling of DC Microgrids' and ‘Protection of DC Microgrids'. In the first section, the new developments in DC Microgrids are discussed. Then, the Modelling of renewable energy resources-based DC Microgrid using characteristics and mathematics equations of each component are presented and then they are simulated by MATLAB. Afterward, the fault analysis and fault current behavior of the studied DC Microgrid are investigated. In the second section, a method of protecting the DC Microgrid and locating the fault in different parts of the system is proposed. The proposed method protects DC Microgrid using localized protection devices. And, the effectiveness of the proposed protection method is validated in a DC Microgrid with ring configuration.
Detecting DDoS Attacks Using Polyscale Analysis and Deep Learning
Authors: Ghanbari Maryam , Kinsner Witold
Published: September 2021

Distributed denial-of-service (DDoS) attacks are serious threats to the availability of a smart grid infrastructure services because they can cause massive blackouts. This study describes an anomaly detection method for improving the detection rate of a DDoS attack in a smart grid. This improvement was achieved by increasing the classification of the training and testing phases in a convolutional neural network (CNN). A full version of the variance fractal dimension trajectory (VFDTv2) was used to extract inherent features from the stochastic fractal input data. A discrete wavelet transform (DWT) was applied to the input data and the VFDTv2 to extract significant distinguishing features during data pre-processing. A support vector machine (SVM) was used for data post-processing. The implementation detected the DDoS attack with 87.35% accuracy.
Customer Value of Smart Grid Application
Authors: Laakkonen Mika-Petri , Kivivirta Ville
Published: September 2021

The authors investigate customer value of smart grid application in smart city from the perspective of main research paradigms of customer value. Data is based on questionnaire for customers (N=131), deep interviews among specialists (7=N), and two months of observation. The results show that the typical user of smart grid technology is a male aged between 30 and 69 who considers that using the application is interesting because of the perceived benefits. Developing strong customer relationship is formed through the provision of e-service quality that has a key role in maintaining customer trust, satisfaction, and loyalty. End-product and service process paradigms to measure customer value do not fully take the complex context of smart cities into consideration, and the ecosystem paradigm must be developed to analyze customer value in smart cities in interactive dynamic decentralized environment where cumulative big data is used to match the customer needs with new digital services.
Smart Home Energy Management System
Authors: Molla Tesfahun
Published: September 2021

With the development of smart grid technology, residents can schedule their power consumption pattern in their home to minimize electricity expense, reducing peak-to-average ratio (PAR) and peak load demand. The two-way flow of information between electric utilities and consumers in smart grid opened new areas of applications. In this chapter, the general architectures of the home energy management systems (HEMS) are introduced in a home area network (HAN) based on the smart grid scenario. Efficient scheduling methods for home power usage are discussed. The energy management controller (EMC) receives the demand response (DR) information indicating the Time-of use electricity price (TOUP) through the home gateway (HG). With the DR signal, the EMC achieves an optimal power scheduling scheme that can be delivered to each electric appliance by the HG.
Electric Vehicles in Smart Grids
Authors: Darab Cosmin
Published: September 2021

Electric vehicles were proposed as a good solution to solving energy crisis and environmental problems caused by the traditional internal combustion engine vehicles. In the last years due to the rapid development of the electric vehicles, the problem of power grid integration was addressed. In order to not put additional pressure onto the power grid several new technologies were developed. This chapter presents the smart grid technology, vehicle-to-grid concept, and electric vehicles grid integration. These technologies made possible the integration of electric vehicles without any major changes in the power grid. Moreover, electric vehicles integration brought new benefits to the power grid like better integration of renewable energy.
Trust Management Issues for Sensors Security and Privacy in the Smart Grid
Authors: Aali Nawal Ait , Baina Amine , Echabbi Loubna
Published: September 2021

Currently, smart grids have changed the world, given the great benefits of these critical infrastructures regarding the customers' satisfaction by offering them the electrical energy that they need for their business. Also, the smart grid aims to solve all the problems encountered in the current electrical grid (outage, lack of renewable energy, an excess in the produced power, etc.) by transmitting and sharing the information in real time between the different entities through the installation of the sensors. This chapter therefore presents the architecture of the smart grid by describing its objectives and advantages. In addition, the microgrids are presented as small electric networks. Then, focusing on the security aspects, an analysis of the different attacks and risks faced in the smart grids and more particularly in the microgrids is presented. After, different techniques and suitable security solutions are detailed to protect and secure the various elements of the smart grids and microgrids.
A Review of the Smart Grid Concept for Electrical Power System
Authors: Bagdadee Amam Hossain , Zhang Li
Published: September 2021

The review this article conducts is an extensive analysis of the concept of a smart grid framework with the most sophisticated smart grid innovation and some basic information about smart grid soundness. Smart grids as a new scheme for energy and a future generation framework encourages the expansion of information and progress. The smart grid framework concord will potentially take years. In this article, the focus is on developing smart networks within the framework of electric power systems.
Cyber Security Challenges for Smart Cities
Authors: Nayyar Anand , Jain Rachna , Mahapatra Bandana , Singh Anubhav
Published: September 2021

Smart cities are composed of interlinked components with constant data transfer and services targeted at increasing the life style of the people. The chapter focuses on diverged smart city components as well as the security models designed to be implemented. The four major paradigms discussed in this chapter are smart grids, building automation system (BAS), unmanned aerial vehicle (UAV), and smart vehicles. Apart from addressing the security concerns of every component, the major highlights of this chapter are architecture, smart environment, industry, lifestyle, services, and digital lifestyle quality. Finally, the chapter focuses on privacy preserving mechanisms, its essence over smart cities, strong architecture related to privacy, preserving mechanism, and various approaches available that can retaliate these issues in a smart city environment.
Dictionary Apps in Chinese Language Learning
Authors: Zhang Yao
Published: September 2021

After evaluating available Chinese-as-a-foreign-language (CFL) dictionaries on the market, this chapter identifies CFL learners' difficulties with learning Chinese and their needs for CFL dictionaries through an exploratory mixed-methods study involving interviews with 30 German CFL learners and a survey with 379 participants. This chapter also proposes a dictionary app for learning Chinese for German CFL learners with a focus on microstructural classes, access and network structures, and additional supporting functions.
Analyzing the Role of Implicit Bias From a DisCrit Perspective
Authors: Jordan Kathy-Anne , Lapidus Susan Mariano , Ramaswamy Sudha
Published: September 2021

Using a disability studies/critical race theory (Discrit) lens, the authors reviewed and analyzed specific literature within the pyramid model (PM) framework—a three-tier hierarchical framework for promoting social-emotional competence and reducing challenging behavior among young children—to understand the model's framing of implicit bias and the specific strategies noted in the literature that help teachers to recognize and counteract implicit bias and subsequently reduce disciplinary inequities among Black preschool children. Findings revealed that although the PM literature discussed, defined, and emphasized the importance of cultural responsivity, it did not engage critically with the construct of implicit bias (i.e., racism and ableism), specifically as it relates to the experiences of children most vulnerable to disciplinary sanction. This chapter ends with suggestions to help readers rethink the PM framework as a way to shift practice toward more equitable experiences for Black children in their earliest years of schooling.
Knowledge, Justice, and Equity
Authors: Dean Jenny , Roberts Philip
Published: September 2021

This chapter explores how systemic differences across schools in Australia contribute to equality or inequality in Indigenous students' learning opportunities, specifically access to the school curriculum needed to progress to university. Equitable access to the academic curriculum is particularly important for Indigenous students because they are impacted by a range of issues affecting school completion, achievement, and university participation. This research focuses on one aspect of the key transition from school to university, examining whether Indigenous students experience a greater range of challenges in gaining the prerequisite requirements for university study than other students of similar circumstances. In exploring these issues, the authors adopt a position of curricular and epistemic justice, arguing that “doing justice” with power-marginalized learners involves changing the basis for thinking about the nature of knowledge and how knowledge is valued.
Online Academic Advising to Support Part-Time Students
Authors: Tùng Vũ Ngọc , Na Chi Đô , Huệ Nguyễn Thị Xuân , Tuyền Phan Thị Minh
Published: September 2021

This chapter discusses the benefits of online academic advising for part-time university students. Understanding the importance of academic advising in relation to students' academic success, the limited contact that part-time students might have with academic staff and faculty makes advisement even more crucial to fostering a productive academic environment for students like these. Drawing on the Core Competencies of Academic Advising developed by the Global Community for Academic Advising (NACADA, 2017), this chapter presents a case study featuring two part-time students at a university in Vietnam who encountered difficulties in their academic journeys and required special support from university advisors. The authors, through an ethnographically-oriented approach as academic advisors, present student narratives at various points of the advisement process, detailing how student support services led to favorable academic outcomes. This chapter presents how advisors demonstrated conceptual, informational, and relational competencies in supporting learners and limitations of the advisement process. Findings from this investigation revealed that the advisement process transcended one-on-one interactions, instead being a collaborative and community-based endeavor requiring input from both institutional and professional networks. In sum, the authors argue for the use of online advisement as a tool for creating an equitable learning environment for university students and to enhance their sense of institutional belonging.
Global Education Beyond Immersion and Regimes of Mobility
Authors: Doerr Neriko Musha
Published: September 2021

This chapter suggests new approaches to global education based on ethnographic fieldworks of students' study abroad experience and a classroom project that challenges the binary opposition of “cultures” in the notion of immersion by drawing on the multi-scalar networks framework where individuals are seen to have multiple connections to others and by replacing the notion of “global competence” with “structural competence” that sees mundane practices as symptoms of wider structural arrangements. This chapter also challenges the double standard over mobility in “regimes of mobility” and argues for connecting study abroad and minority immigrant experiences on campus and including diverse programs within the purview of global education.
Ethics, Health, and AI in a COVID-19 World
Authors: Balasescu Alec
Published: September 2021

One of the conversations that emerged forcefully during the past year, in the context of the COVID-19 pandemic, is linked to the use of artificial intelligence (AI) in healthcare, and it touches both its effectiveness and its ethics. The chapter starts with three examples of using automated systems in healthcare and continues by proposing an understanding of the ethics from the perspective of the meaning assigned to optimisation. The argument is that we need to deeply explore the aim of optimisation in order to shed a different and perhaps more revealing light on ethical questions related to AI use in general, and in healthcare in particular. The chapter ends with a few propositions on how to approach optimisation and reconsider the way in which automation is both adopted and adapted.
Ethical Aspects of Information-Based Medicine (With a Focus on Mental Health)
Authors: Kalina Jan , Tobišková Nicole
Published: September 2021

Modern advanced tools of artificial intelligence assist healthcare professionals in a variety of complex tasks related to medical care. Digitalization and automation accelerate the development and deployment of innovative artificial intelligence tools tailor-made for clinical applications; decision support systems represent an important example of such tools. This chapter is devoted to discussing the role of artificial intelligence in current and prospective medical care and ethical aspects of their deployment. As developed countries currently go through remarkable transforms of medical care involving informatization and centering around medical information and knowledge, this chapter also discusses future ideals of medical care characterized by the concept of information-based medicine. Ethical and patient safety implications of using artificial intelligence within information-based medicine are overviewed here. Specific attention is paid to mental healthcare and ethical aspects of using artificial intelligence in its context.
Ethical Considerations of Using VR in Mental Health Training
Authors: Cachia Andrew , Camilleri Vanessa , Dingli Alexiei , Galea Michael , Grech Paulann , Sammut Alexei , Scerri Josianne
Published: September 2021

Mental health students, who are still undergoing training, might find it challenging to visualise and fully understand what their patients experience. For this reason, the authors created a virtual reality simulator which mimics the symptoms of a person suffering from schizophrenia at a virtual workplace. The simulation is managed by an artificial intelligence system which asks the user to attempt simple tasks, while simultaneously facing both visual and auditory hallucinations. The AI also adapts the storyline and character behaviour dynamically to increase the immersiveness of the experience. A pilot study was carried out, and the initial results were very encouraging. In fact, the absolute majority of the users stated that the simulation has helped increase their understanding of schizophrenia. In this chapter, the authors evaluate this experiment but from a different perspective. They focus mainly on the use of emerging technologies such as AI and VR and discuss the ethical considerations of their use within the field of mental health.
An Overview of the IT Risk Management Methodologies for Securing Information Assets
Authors: Mercan Dursun Sayan , Mutluturk Meltem , Taskin Nazim , Metin Bilgin
Published: September 2021

Effective information asset management is the basis of information security as well as many other issues. IT risk assessments work well with the proper handling of asset values, and also it is for effectively securing information assets. There is also a wide variety of risk assessment methodologies. This chapter presents information about the overall IT risk management process and methodologies. Best practices are mentioned and occasionally compared based on the requirements of the information technology (IT) sector in practice. This chapter will provide deep knowledge about the IT risk management approach and construction to implementers, risk owners, IT auditors, executive managers, and other IT staff.
Optimization of Maintenance Management Indicators in a Chilled Water Plant
Authors: Jiménez Arango Carlos Alberto , Dueñas Ramirez Leidy Marcela , Castaño Restrepo Carlos Andres
Published: September 2021

The academic sector, like any other service or industrial sector, requires constant innovation in each of its processes. In Colombia, the Universidad EAFIT, as part of the search for new ways of teaching and learning, has recognized the significance of making learning spaces suitable for the people involved in this process. In consequence, the project described in this chapter shows the most efficient methodology for the optimization of asset management for the Universidad EAFIT's Ice Water Plant. The methodologies used include key concepts and factors such as availability, maintainability, and reliability in the costs related to the behavior and nature of the failures, having as reference an integral model of the maintenance management process. The objective of this project is to maintain these high standards of operation and maintenance throughout the useful life of the system and to show the importance that maintenance and the methodologies associated with it have in any sector or industry.
Development and Implementation of an IoT Platform to Enable Smart Maintenance
Authors: Venuta Marco , Pirola Fabiana , Zambetti Michela , Pezzotta Giuditta , Cavalieri Sergio , Grasseni Piergiorgio , Ferrari Marco , Salvi Stefano
Published: September 2021

IoT solutions represent one of the most powerful approaches towards asset and maintenance management supporting a multi-user environment that can be adopted to monitor machine and guide decision-making at different levels. Several studies discussed the benefits that may be achieved, but few studies discussed how to implement such a complex process that should consider a systematic approach in the development of the infrastructure, platform content, analytics, and internal processes reengineering. To this purpose, the presented chapter describes an IoT platform implementation in a manufacturing company. Specifically, the case study illustrates the steps that have been followed to develop and implement the IoT solution, namely (1) definition of the platform desired functionalities; (2) reengineering of the business processes affected by the platform; (3) development of the proof of concept of the platform dashboards, also considering the data to be sent to the platform; and (4) the implementation of the IoT platform with the connection of customer machines.
Artificial Intelligence and E-Learning
Authors: Sharma Renu , Mohan Mamta
Published: September 2021

The Edtech sector has grown with the emergence of new ventures at all levels of education and training. A number of experiments are carried out in this domain across the globe. Artificial intelligence is instrumental in helping institutions to engage students, provide personalised learning, and stay profitable. The chapter provides information about prevalent models being used for instruction design. It also includes examples of best practices of using technology in learning across the globe. Case studies of Yuanfudao (China), Embibe (India), Ruangguru (Indonesia), Tonies (Germany), Virti (UK), Examity (USA), and Packback (USA) are part of this chapter.
Hyper-Personalization
Authors: Desai Darshana
Published: September 2021

Personalization is widely used to attract and retain customers in online business addressing one size fits all issues, but little is addressed to contextualise users' real-time needs. E-commerce website owners use these strategies for customer-centric marketing through enhanced experience but fail in designing effective personalization due to the dynamic nature of users' needs and pace of information exposure. To address this, this chapter explores hyper-personalization strategies to overcome users' implicit need to be served better. The research presents a hyper-personalization process with learning (ML) and artificial intelligence (AI) techniques for marketing functions like segmentation, targeting, and positioning based on real-time analytics throughout the customer journey and key factors driving effective customer-centric marketing. This chapter facilitates marketers to use AI-enabled personalization to address customers' implicit needs and leverage higher returns by delivering the right information at the right time to the right customer through the right channel.
Transforming CRM Through Artificial Intelligence
Authors: Chaturvedi Abhinav , Chaturvedi Mukesh
Published: September 2021

The present times are disrupting times for every kind of business and every aspect of a business. It is not about contactlessness; it is about seamlessness. The auto manufacturers have already started “Amazoning” dealerships. Brands are developing customer-specific platforms like jaguar.rockar.com, where one can explore the range, check the price, select dealer, search inventory, and schedule test drives. The brand Cadillac creates virtual reality experiences in Google Search, wherein a car appears in a living room through a phone call. One can see how it looks, walk around it, open the doors, and get a sense of the interior. This chapter explores the transformation of CRM through artificial intelligence.
The Role of Artificial Intelligence in the Automation of Human Resources
Authors: Rai Anjali , Mishra Amar Kumar
Published: September 2021

Organizational effectiveness is dependent on how resourcefully and effectively people, process, and technology unite and bring value at best cost. Artificial intelligence facilitates to automate most of the back office transactional effort in that way enabling rapid service delivery. AI competencies are scaling new heights and changing the way employee work in this ever-changing corporate world. AI has the power to change various employee skill through quick and accurate processing of a large amount of the data from recruitment to talent management.
Conceptualizing the Use of Artificial Intelligence in Customer Relationship Management and Quality of Services
Authors: Shukla Parag , Shamurailatpam Sofia Devi
Published: September 2021

In this chapter, the authors have conceptualized a hypothetical comprehensive model of AI, CRM, and quality of services by banks given the underlying pull and push factors that determine the extent of AI adoption by the banks. This chapter shall also serve as a primer to demonstrate the effects of use of artificial intelligence in the Indian banks and is also aimed to encapsulate the restraining and facilitating forces that drive adoption of AI. This chapter examines the blooming development of artificial intelligence and its significance in the operational efficiency in terms of management of issues related to customers while accessing different products and services offered by banks. In other words, the use of artificial intelligence technologies can dramatically improve banks' ability to achieve four key outcomes: higher profits, at-scale personalization, rapid innovation cycles, strategic customer relationship management (CRM), and distinctive omni-channel experiences. The role of artificial intelligence (AI) is significant in the banking industry for operational efficiency.
A Primer on Gamification Standardization
Authors: Queiros Ricardo Alexandre Peixoto de , Pinto Mário , Simões Alberto , Portela Carlos Filipe
Published: September 2021

Computer science education has always been a challenging topic for both sides of the trench: educators and learners. Nowadays, with the pandemic state that we are facing, these challenges are even greater, leading educators to look for strategies that promote effective virtual learning. One of such strategies includes the use of game mechanics to improve student engagement and motivation. This design strategy is typically called gamification. Nowadays, gamification is being seen as the solution to solve most of the issues related to demotivation, complexity, or tedious tasks. In the latest years, we saw thousands of educational applications being created with gamification in mind. Nevertheless, this has been an unsustainable growth with ad hoc designs and implementations of educational gamified applications, hampering interoperability and the reuse of good practices. This chapter presents a systematic study on gamification standardization aiming to characterize the status of the field, namely describing existing frameworks, languages, services, and platforms.
Strategy to Implement Gamification in LMS
Authors: Somova Elena , Gachkova Mariya
Published: September 2021

The main goal of the chapter is to discuss implementation of the structural gamification in LMS. The overview of pedagogical approaches, theories, models, and systems connected to the serious games and in particular for gamification is presented. The possibilities for using the game elements and techniques in е-learning (incl. possible realization with the standard elements of a non-gamified LMS) are presented. A four-stage cyclical gamified learning model is proposed. For the four categories of learners from the Bartle's classification, the appropriate game elements are determined. Two plugins for the application of structural gamification in Moodle have been designed and developed, which integrates game elements and techniques in the process of e-learning. The first plugin changes the design of the course into a game view. The second plugin allows adding specific game elements, which do not exist in Moodle. Different experiments of structural gamification have been done and presented.
Assessing the Impact of System Quality, Information Quality, and Service Quality on Enterprise Resource Planning (ERP) Systems
Authors: Akrong Godwin Banafo , Shao Yunfei , Owusu Ebenezer
Published: September 2021

Globally, governments are taking steps to help them increase their income generation margin by implementing tax administrative ERP systems. However, the impacts on the internal system users of these ERP system quality features have not drawn the attention needed. This study, therefore, examines the relationship between the information systems' (IS) quality and individual impact using the theoretical foundation of the DeLone and McLean IS success model and, secondly, addresses the interrelationships between the quality constructs of information systems (IS). The authors also used the structural equation modeling technique of partial least squares to evaluate and analyze the data. The results show that system quality, the information quality, and the service quality characteristics of the tax administrative ERP system have a strong positive impact on the success of the IS at the individual level. There is also a positive relationship between the information systems' (IS) quality construction. The results provide additional empirical observations and consequences for management.
Satisfaction With ERP System Implementation
Authors: Watjatrakul Boonlert , Vatanapitukpong Vimolluck
Published: September 2021

While many studies explain factors influencing the success of ERP implementation, little is known about the system outcome to satisfy user expectations based on the concepts of task-technology fit and person-task fit. The study examines the effects of fits between user interfaces, task interdependence, and user knowledge on system utilization and performance impacts leading to user satisfaction with ERP system implementation. Based on the structural equation modeling analysis and two-way interaction test results, a user interface dampens the positive effect of task interdependence on task-technology fit while it strengthens the positive effect of user knowledge on task-technology fit. Task interdependence dampens the positive effect of user knowledge on system utilization. The results provide guidance on how to enhance the system impacts on user performance and encourage the system usage resulting in user satisfaction with the ERP system implementation. The paper provides detailed discussions of the results, the implications for theory and practices, and the study limitations.
Examining Emergency Remote Teaching Using the Community of Inquiry Framework
Authors: Chiroma Jane Adhiambo , Meda Lawrence , Waghid Zayd
Published: September 2021

The COVID-19 global pandemic has forced many universities worldwide to switch from face-to-face classes to Emergency Remote Teaching (ERT) to allow students to continue learning. Using the Community of Inquiry framework, this study aimed to examine a group of lecturers’ experiences of ERT at a university in Kenya. The study was conducted using a qualitative case study design within an interpretive paradigm. Ten lecturers were purposively selected to participate in semi-structured interviews. The findings suggest that these lecturers had established teaching presence, social presence, and cognitive presence to enhance students’ learning experiences during the time they engaged in ERT. The Community of Inquiry was found to be a useful framework by the researchers for lecturers to use in order to rethink, organize, and guide ERT at the university, which was the site of the study. This study has practical implications for course designers, researchers, and students at universities and other educational institutions concerning curriculum re-design using a CoI as a framework.
M-Commerce Security
Authors: Elmorshidy Ahmed
Published: September 2021

This paper aims to evaluate the factors affecting mobile applications used to access and control security cameras at home and office. Survey data from 397 mobile applications users in Southern California, USA were collected to test the proposed research model and hypotheses through structural equation modeling. This study finds that system quality, information quality, and service quality of mobile applications have a positive effect on the perceived usefulness and perceived ease of use of these applications and introduce several net benefit represented in increased control of users' security, increased convenience and flexibility and privacy when using those mobile applications for access their security cameras at both home and office. There is a lack of researches in this area which makes this study among the first to attempts to fill this gap by empirically investigating the factors affecting mobile applications of home and office security cameras as well as the benefits they introduce to uses.
Image Encryption Algorithm Based on a Novel 4D Chaotic System
Authors: Mehdi Sadiq A.
Published: September 2021

In this paper, a novel four-dimensional chaotic system has been created, which has characteristics such as high sensitivity to the initial conditions and parameters. It also has two a positive Lyapunov exponents. This means the system is hyper chaotic. In addition, a new algorithm was suggested based on which they constructed an image cryptosystem. In the permutation stage, the pixel positions are scrambled via a chaotic sequence sorting. In the substitution stage, pixel values are mixed with a pseudorandom sequence generated from the 4D chaotic system using XOR operation. A simulation has been conducted to evaluate the algorithm, using the standardized tests such as information entropy, histogram, number of pixel change rate, unified average change intensity, and key space. Experimental results and performance analyses demonstrate that the proposed encryption algorithm achieves high security and efficiency.
Building the Semantic Layer of the Józef Piłsudski Digital Archive With an Ontology-Based Approach
Authors: Pandolfo Laura , Pulina Luca
Published: September 2021

Using semantic web technologies is becoming an efficient way to overcome metadata storage and data integration problems in digital archives, thus enhancing the accuracy of the search process and leading to the retrieval of more relevant results. In this paper, the results of the implementation of the semantic layer of the Józef Piłsudski Institute of America digital archive are presented. In order to represent and integrate data about the archival collections housed by the institute, the authors developed arkivo, an ontology that accommodates the archival description of records but also provides a reference schema for publishing linked data. The authors describe the application of arkivo to the digitized archival collections of the institute, with emphasis on how these resources have been linked to external datasets in the linked data cloud. They also show the results of an experiment focused on the query answering task involving a state-of-the-art triple store system. The dataset related to the Piłsudski Institute archival collections has been made available for ontology benchmarking purposes.
Discovering Curriculum Components for a New Product Development Course
Authors: Wu Yenchun Jim , Chen *Jeng-chung
Published: September 2021

Presently, new product development is deemed the core activity of an organization's competitive strategy, but there is a surprising dearth of research on what curriculum components should be embedded in the new product development course. This study aims to introduce a methodology that can carry out curriculum design with limited prior knowledge. First, latent semantic analysis is applied to extract the main research themes from the subject matter literature, which are considered as potential curriculum components. Next, the revised Bloom's taxonomy is applied to develop a questionnaire for establishing the learning objectives. Finally, the study uses the modified Delphi method to verify the eligibility of these curriculum components, concluding that the most effective approach for imparting knowledge and skills regarding new product development is to adopt a capstone course and equip students with creativity and advanced technology and design for sustainability through a project-based learning approach.
A Graph Neural Network-Based Algorithm for Point-of-Interest Recommendation Using Social Relation and Time Series
Authors: Xin Mingjun , Chen Shicheng , Zang Chunjuan
Published: September 2021

POI recommendation has gradually become an important topic in the field of service recommendation, which is always achieved by mining user behavior patterns. However, the context information of the collaborative signal is not encoded in the embedding process of traditional POI recommendation methods, which is not enough to capture the collaborative signal among different users. Therefore, a POI recommendation algorithm is presented by using social-time context graph neural network model (GNN) in location-based social networks. First, it finds similarities between different social relationships based on the users' social and temporal behavior. Then, the similarity among different users is calculated by an improved Euclidean distance. Finally, it integrates the graph neural network, the interaction bipartite graph of users and social-time information into the algorithm to generate the final recommendation list in this paper. Experiments on real datasets show that the proposed method is superior to the state-of-the-art POI recommendation methods.