bluuebunny/crossref_metadata_2025 huggingface dataset:
Teacher Leadership in Special Education
Authors: Tran Annie Nguyen
Published: April 2021

This chapter addresses the impact of the traditional hierarchical system of organizational leadership on K-12 schools, particularly in special education. This model of leadership distinguishes leaders, such as school principals, from non-leaders, such as teachers and school staff. For special education teachers, this passé model of leadership becomes a barrier for professional growth by limiting the opportunities for teacher leadership in special education. In order for special education teachers to pursue leadership positions in the K-12 education system, teachers likely have to give up their teaching identities in exchange for new roles and responsibilities. With a limitation of research in the area of teacher leadership in special education, there is a need for discussion on how special education teachers can use their expertise to influence school administrators and staff towards equitable and inclusive organizational change.
Teacher Induction That Works
Authors: Bell Julie , Wilcoxen Chris , Steiner Amanda
Published: April 2021

For over 25 years, the CADRE Project has developed both new (or beginning) and veteran teachers. This induction program's success is linked to the collaboration between one university and multiple local school districts. Nearly 100% of CADRE participants have remained in education, and over half of them have moved into leadership roles. During summer 2018, the researchers distributed 675 online surveys to past participants. Responses yielded a 65% response rate. Analysis produced the following three themes: empowerment, retention, and leadership. The researchers propose a conceptual framework showing the interaction among the three themes and connect the themes to collective efficacy. The researchers close by outlining future directions for research and recommendations for other induction programs.
Mentoring the Next Generation of Leaders
Authors: Miles Jennifer M.
Published: April 2021

This chapter explores how college presidents and college student government association presidents interact and communicate, including how they can build strong working relationships and how they can collaborate to address and meet the needs of the student body. Drawing on existing literature, the chapter provides an overview of the college presidency, student involvement, student government, student government leadership, and expectations college presidents have of student government association presidents.
Becoming a Champion of Orientation
Authors: Wolcott Gregory V. , Reckmeyer William J. , Conner Andrene Kaiwi , Flores Rigoberto
Published: April 2021

Effective presidential leadership is vital to enabling the success of higher educational enterprises under the complex conditions they are likely to face for years to come. But college presidents must address a lot of competing leadership demands that collectively affect their ability to pursue strategic priorities, navigate a morphing variety of polarizing socio-political issues, please their boards of directors, and transform their institutions so students are better prepared for living and working in an increasingly global world. One of the most consistently pressing concerns expressed by many of these presidents in recent years has been the need to balance budgets in an era of declining revenues and increasing costs. The focus in this chapter is to help college presidents understand the evolving importance of orientation programs in higher education, especially how those programs can strengthen the long-term financial and academic vitality of their institutions in the rough times ahead.
Setting the Vision for Campus Outreach and Engagement
Authors: Deggs David M.
Published: April 2021

Outreach and engagement are essential functions of American higher education. Despite having historical commitment and missions aligned to community engagement, many colleges and universities struggle to prioritize community engagement efforts within and across institutions. Community engagement is often viewed as a lesser priority behind teaching and research and is thus an afterthought. This chapter explores the development of community engagement in American higher education in the 20th century and key initiatives that underscore its importance to fulfilling college and university missions and goals. Motivation and rewards for faculty along with student benefits are also explored. Finally, actions that should be taken by college and university leaders to ensure that community engagement is prioritized are discussed.
Global Students, Citizens, and Understanding the Impact of the COVID-19 Crisis
Authors: Buchholz Erin Guydish
Published: April 2021

The COVID-19 crisis is impacting global society in a nearly unprecedented manner. One fractured experience is the 2019/2020 school experience. This calls attention to the impact on students' identity, agency, and sense of place within the world. This search requires exploring the impact rhetoric and sociolinguistics have in and outside of the classroom. Programs utilizing digital tools advance students' identities, honor agency, and understand changes in the world. Allowing students a space to express their experiences, as well as see their peers in various global destinations, begins reflections on how social environments are impacting students. Incorporating conscientious uses of rhetoric and sociolinguistics within one's classroom encourages three learning outcomes for students: 1) it establishes student agency, 2) it helps define and explore the concept of global citizenship, and 3) it encourages students to develop transferable critical thinking skills particularly.
The Words of War
Authors: Lee Patrick Ryan , Richards Melanie B. , Dunn Robert Andrew
Published: April 2021

In this analysis of public speeches from four American presidents from the Republican Party, the ways in which those presidents discuss and position American defense activities and stances are examined to track the progression from the 1960s to the present. Presidents chosen were from one party who also presided over a period of protracted armed conflict or cold war. The addresses analyzed comprised public addresses to congress or the American people. The analysis groups recurring frames for each president. Some frames were more salient for certain presidents than for others. Other frames were common and consistently pervaded the presidents' remarks to congress and the public. America's struggle against a faceless enemy, American military might as a guarantor of peace, and the importance of the United States' commitments to its international partners were all prevailing frames which emerged in the analysis.
Bioremediation and Phytoremediation
Authors: Biju Leena Merlin , Krishnaswamy Veena Gayathri
Published: April 2021

Industrialization led to the release of synthetic and toxic compounds. Partial or improper treatment increases environmental pollution. Conventional methods possess more disadvantages, such as increased duration of degradation and release of secondary pollutants. The drawbacks paved the way for the significant bioremediation perspective. The ubiquitous nature of microbes enables it to utilize toxic compounds, which attracted the focus of treatment towards the biological and eco-friendly methods. The recent decade has shown interest in the application of indigenous microbes in the polluted environment. Apart from the microbial application, phytoremediation is an emerging tool for treating soil contaminated with hazardous pollutants. Technological advancement in biotechnology ensures a safe and healthy environment for a better future.
Multifaceted Potential of Plant Growth Promoting Rhizobacteria (PGPR)
Authors: Sinha Dwaipayan , Mukherjee Suchetana , Mahapatra Dakshayani
Published: April 2021

Plant growth-promoting rhizobacteria (PGPR) is a unique group of bacteria that colonize the rhizosphere and roots of plants. They are involved in a plethora of interaction with the host plant and benefit the host plant from nutritional and pathological point of view. The beneficial role of PGPR extends from fixation of atmospheric nitrogen, solubilization of phosphates, siderophore production, synthesis of plant growth regulators, and conferring protection to plants through production of antibiotics and ultimately helping the plants in acquiring resistance. The microbes are also being used for bioremediation purposes and thus act as an eco-friendly cleansing agent. PGPR has gained immense interest in the scientific community and have emerged as a very reliable tool for eco-friendly and sustainable approach for crop production. PGPR is a potent candidate of bioprospection for sustainable use in agriculture and bioremediation process for the overall benefit of mankind.
Bacterial Siderophores for Enhanced Plant Growth
Authors: Verma Himanshi , Jindal Meghna , Rather Shabir A.
Published: April 2021

The soil is a repository of microorganisms such as bacteria, fungi, algae, and protozoa. Among these, more bacteria are found, most of which are located in the rhizosphere region of the soil. The rhizosphere, under the direct control of plant root secretions, is the complex, narrow area of the soil. It is densely populated with microorganisms (mostly bacteria) that interact with the plants. These interactions influence the growth of the plant directly or indirectly. Plant growth-promoting rhizobacteria (PGPR) inhabiting the rhizosphere colonizes the plant roots and increases plant growth via different mechanisms. Iron is an essential micronutrient required by almost all life forms including plants. Oxidation of Fe2+ (soluble) to Fe3+ (insoluble) due to the soil's aerobic conditions limits its bioavailability. Siderophores are selective low molecular weight ferric ion chelators secreted by bacteria to acquire iron from the surrounding. They bind to iron (Fe3+) with high specificity as well as high affinity. By helping the insolubilisation of iron, it promotes the growth and yield.
Application of Dehalogenase Enzymes in Bioremediation of Halogenated Pollutants
Authors: Satpathy Raghunath
Published: April 2021

The halogenated hydrocarbons have been widely used by human beings. They are xenobiotic and toxic. The microbes having a specific group of hydrolase enzymes, known as dehalogenases, that actually break the carbon-halogen bonds of the halogenated substances and subsequently convert them into their non-toxic forms. In this chapter, the categories of dehalogenase enzymes possessed by microorganisms are narrated. The overall source, mechanism of catalysis, and structural aspects of the haloalkane dehalogenase enzymes have been discussed with special focus to the bioremediation of 1, 2 dichloroethane.
Remediation of Bauxite Residue Through Integrated Approach of Microbes and Plantation
Authors: Dubey Kumud , Dubey K. P.
Published: April 2021

Bauxite residue (red mud) is an industrial waste bye product of Alumina industry. It is toxic and highly alkaline in nature having heavy metals. Its disposal is the paramount environmental issue in Alumina industry. In the present study, bioremediation of red mud was carried out through cyanobacteria amendments and plantation. Two cyanobacterial species (viz. Phormidium and Oscillatoria) were found promising after studying their effect on physico-chemical characteristics of red mud. Seeds of selected tree species (viz. Dalbergia sissoo, Prosopis juliflora, Acacia auriculiformis, Pithecellobium dulce, Cassia siamia) were procured, and a nursery of these tree species was raised. Performances of two cyanobacteria (viz. Phormidium and Oscillatoria sps.) in combinations with PSB and VAM on red mud are very encouraging and hold considerable promise for bioremediation and revegetation of red mud. Inoculated seedlings of P. juliflora, P. dulce, A. auriculiformis, and C. siamia performed well for red mud revegetation.
Quorum Quenching for Sustainable Environment
Authors: Malik Sumira , Prasad Shilpa , Kumari Tanvi , Ghoshal Shreya , Agrawal Ankita , Shekhar Shashank , Samal Bijaya
Published: April 2021

Quorum quenching is the process that prevents quorum sensing through the disruption of signalling cascade and bacterial communication among themselves mediated by the degradation of the signalling molecules. Therefore, quorum quenching has a considerable contribution in the negative regulation of threatening diseases and eventually increasing soil reclamation through different mechanism mediated by microorganisms in reclamation of soil. Quorum sensing has a significant contribution in enhancement of soil quality through microbial-based enzymes and mechanism in the versatile fields which are a component of the environment. The current chapter discusses the details of various direct and indirect mechanisms mediated by microbial systems that have a significant role in soil reclamation for the sustenance of the environment.
New IP
Authors: Li Richard , Chunduri Uma S. , Clemm Alexander , Dong Lijun
Published: April 2021

Industrial machine-type communications (e.g., industrial internet), emerging applications such as holographic type communications, IP mobile backhaul transport for 5G/B5G (beyond 5G) for ultra-reliable low latency communications and massive machine-type communications, emerging industry verticals such as driverless vehicles, and future networking use cases as called out by ITU-T's focus group on network 2030 all require new networking capabilities and services. This chapter introduces “New IP,” a new data communication protocol that extends packet networking with new capabilities to support future applications that go beyond the capabilities that are provided by internetworking protocol (IP) today. New IP is designed to allow the user to specify requirements, such as expectations for key performance indicators' (KPIs) service levels, and other guidance for packet processing and forwarding purposes. New IP is designed to interoperate with existing networks in a straightforward manner and thus to facilitate its incremental deployment that leverages existing investment.
ONAP
Authors: Debeau Eric , Quintuna-Rodriguez Veronica
Published: April 2021

The ever-increasing complexity of networks and services advocates for the introduction of automation techniques to facilitate the design, the delivery, and the operation of such networks and services. The emergence of both network function virtualization (NFV) and software-defined networks (SDN) enable network flexibility and adaptability which open the door to on-demand services requiring automation. In aim of holding the increasing number of customized services and the evolved capabilities of public networks, the open network automation platform (ONAP), which is in open source, particularly addresses automation techniques while enabling dynamic orchestration, optimal resource allocation capabilities, and end-to-end service lifecycle management. This chapter addresses the key ONAP features that can be used by industrials and operators to automatically manage and orchestrate a wide set of services ranging from elementary network functions (e.g., firewalls) to more complex services (e.g., 5G network slices).
Software-Defined Vehicular Networks (SDVN) for Intelligent Transportation Systems (ITS)
Authors: Sharma Rinki
Published: April 2021

Vehicular communication is going to play a significant role in the future intelligent transportation systems (ITS). Due to the highly dynamic nature of vehicular networks (VNs) and need for efficient real-time communication, the traditional networking paradigm is not suitable for VNs. Incorporating the SDN technology in VNs provides benefits in network programmability, heterogeneity, connectivity, resource utility, safety and security, routing, and traffic management. However, there are still several challenges and open research issues due to network dynamicity, scalability, heterogeneity, interference, latency, and security that need to be addressed. This chapter presents the importance of vehicular communication in future ITS, the significance of incorporating the SDN paradigm in VNs, taxonomy for the role of SDVN, the software-defined vehicular network (SDVN) architecture, and open research issues in SDVN.
Ubuntu and the Shaping of an African Postcolonial Christian Identity
Authors: Kwiyani Harvey C.
Published: April 2021

This chapter explores some connections between umunthu (a Malawian translation of Ubuntu) and the Christian faith in the hope that a dialogue between these two key themes of contemporary African life contributes to emerging postcolonial theological discourse in the world, especially at a time when African Christians are increasingly becoming the most visible and vocal in world Christianity. To do this, the chapter begins by reflecting on how the author's community in southern Malawi understands umunthu and the implications that growing up surrounded by this Ubuntu-shaped community has had on his own religious identity and thought and his understanding of the world. Following this, it explores umunthu in the context of postcolonial Christian Africa and the African diaspora. In the end, it calls for African Christians to find innovative ways to let ubuntu shape their Christianity.
Living and Revitalizing Ubuntu
Authors: Tusasiirwe Sharlotte , Kansiime Peninah , Eyaa Sarah , Namisango Fatuma , Bulamu Norma
Published: April 2021

Although Ubuntu/Obuntu philosophy remains a foundation for many African communities, there are also growing concerns about its gradual erosion and assault. There is limited understanding about the struggles that African parents, especially in the diaspora experience as they pass on Ubuntu/Obuntu values to their children who live in a different context from the one their parents were raised in. This knowledge is crucial for facilitating Ubuntu/Obuntu's revitalisation and transmission to the younger generation. Using a critical approach, this chapter draws from lived experiences and existing literature to discuss two key challenges that the authors, who are African parents, have experienced in passing on Ubuntu/Obuntu. The challenges relate to past and ongoing colonialism manifested in Eurocentric education systems in Africa and the diaspora and dwindling community interactions. Strategies adopted by the authors in the diaspora to overcome these barriers and implications of an Ubuntu/Obuntu-inspired education are also presented.
Ubuntu as a Sustainable Philosophy for School Leadership and Governance
Authors: Pansiri Nkobi Owen , Mphathiwa Ludo , Iloanya Jane Ebele , Ugwu Chikezie Ignatius , Tsae Batshidi Rapula
Published: April 2021

This chapter examines the conflict between Ubuntu and globalization. The advent of globalization is rapidly and inevitably changing the world's development setting. The development has neither been merciful nor friendly to Ubuntu. As a consequence, pressure is mounting for the re-definition and re-positioning of the functions of schools. Ethical leadership and emphasis on multiculturalism are some of the key features that define new school systems. Botswana and Nigeria school leadership systems are explored to generate a more sensitive school leadership model.
Opportunities, Challenges, and Solutions for Industry 4.0
Authors: Ng Hee Song
Published: April 2021

Industry 4.0 (I4.0) is the fourth industrial revolution sweeping through the world of manufacturing. This revolution integrates the current trend of intelligent automation with internet of things (IoT), big data, and artificial intelligence to bring about extraordinary technological innovation, economic growth, and tremendous progress to organizations of all shapes and sizes, on a magnitude beyond the current imagination. The disruptive technologies introduced by I4.0 represent a leap forward from more traditional automation to next generation industrial production based on fully web-based cyber-physical systems (CPS)s. To full understand the I4.0 concept and implementation, this chapter makes an in-depth analysis on the issues and controversies of I4.0, recent technological advancement, management and organizational concerns in terms of opportunities and threats, capital investment and skillsets, cybersecurity threat, ethics consideration, current challenges facing organizations and industry in terms of geopolitical domination, economic and social disenfranchisement, job destruction and job creation, the roles of multinational corporations, lack of technologies capabilities, lack of skillset, and skill mismatches. This chapter also makes suggestions for solutions and recommendations in terms of the role of government and incentives and grants; assessment tools; collaboration; the development of local companies and small and medium-sized enterprises (SMEs); upskilling, reskilling, and lifelong learning; education; universities and students; skilled graduates; and future research and directions.
How Industry 4.0 Changes the Value Co-Creation Process
Authors: Castagnoli Rebecca , Büchi Giacomo , Cugno Monica
Published: April 2021

The chapter analyses the literature on Industry 4.0 to understand the effect that Industry 4.0 has on customer co-creation process. The chapter is conceptual and is based on a literature analysis—conducted through ISI-Thompson Web of Science—that answers two research question: (RQ1) if and (RQ2) how the Industry 4.0 changes the customer value co-creation process. The results are summarized into a conceptual framework that shows how Industry 4.0 transforms the creation of value for customers, of customers, and with customers. The implications encourage managers and policymakers to implement a wider range of enabling technologies along the various phases of the supply chain and to adopt a new way to manage the company itself and the relations with customers involving them in the co-creation of products.
Incorporating Industry 4.0 in Corporate Strategy
Authors: Agrawal Anirudh , Schaefer Sebastian , Funke Thomas
Published: April 2021

Knowledge tells us that increase in productivity decreases margins in a competitive market and increases margins in a growing market. Not much is known about Industry 4.0 and its position within the corporate strategy and its possible impact on corporate performance. This chapter discusses the position of Industry 4.0 within the corporate strategy and how it may impact corporate performance. The main points include that corporates have to reflect on their core resources, leadership, and knowledge portfolio to take advantage of the Industry 4.0 platform. The corporates engaging in cost and volume strategies and those engaging in fast new product development strategies may benefit greatly with Industry 4.0. The services of Industry 4.0 may be outsourced but with added risks. Finally, the increased productivity with Industry 4.0 under constraint market growth may lead to the potential risk of market failure and large-scale layoffs.
Towards Industry 4.0
Authors: Lezak Emil , Ferrera Enrico , Rossini Rosaria , Masluszczak Zofia , Fialkowska-Filipek Malgorzata , Hovest Gunnar Große , Schneider Alexander , Lourenço Emanuel J. , Baptista Antonio J , Cardeal Gonçalo , Estrela Marco , Rato Ricardo , Holgado Maria , Evans Steve
Published: April 2021

An overview of the work under development within the EU-funded collaborative project MAESTRI is presented in this chapter. The project provides a framework of new Industrial methodology, integrating several tools and methods, to help industries facing the fourth industrial revolution. This concept, called the MAESTRI Total Efficiency Framework (MTEF), aims to advance the sustainability of manufacturing and process industries by providing a management system in the form of a flexible and scalable platform and methodology. The MTEF is based on four pillars: a) an effective management system targeted at continuous process improvement; b) Efficiency assessment tools to support improvements, optimization strategies and decision-making support; c) Industrial Symbiosis paradigm to gain value from waste and energy exchange; d) an Internet-of-Things infrastructure to support easy integration and data exchange among shop-floor, business systems and MAESTRI tools.
Applied Simulation Modelling and Evolutionary Computation Methods in Industry 4.0 CPS Architecture
Authors: Ojsteršek Robert , Palčič Iztok , Buchmeister Borut
Published: April 2021

Industry 4.0 has recently opened a number of new research questions relating to the production scheduling of flexible production systems. The high complexity of flexible production systems` scheduling is reflected in the multi-objective nature of optimisation problems, which cannot be solved satisfactorily with conventional techniques. Researchers are developing various optimisation techniques based on the use of advanced evolutionary computation methods and simulation modelling, but it is difficult to transmit the proposed solutions to the real world of Industry 4.0. The chapter present new method of evolutionary computation and simulation modelling for the purpose of comprehensive multi-objective optimisation of flexible production systems. In the research part, the chapter presents an applied example of the advanced optimisation methods used in order to provide timely and economically sustainable production systems in Industry 4.0. The research results prove the importance and justification of using the proposed CPS architecture ensuring economic and time optimised production systems.
Augmented Technology for Safety and Maintenance in Industry 4.0
Authors: Kukshal Vikas , Patnaik Amar , Singh Sarbjeet
Published: April 2021

The traditional manufacturing system is going through a rapid transformation and has brought a revolution in the industries. Industry 4.0 is considered to be a new era of the industrial revolution in which all the processes are integrated with a product to achieve higher efficiency. Digitization and automation have changed the nature of work resulting in an intelligent manufacturing system. The benefits of Industry 4.0 include higher productivity and increased flexibility. However, the implementation of the new processes and methods comes along with a lot of challenges. Industry 4.0. requires more skilled workers to handle the operations of the digitalized manufacturing system. The fourth industrial revolution or Industry 4.0 has become the absolute reality and will undoubtedly have an impact on safety and maintenance. Hence, to tackle the issues arising due to digitization is an area of concern and has to be dealt with using the innovative technologies in the manufacturing industries.
Intelligent Processes in Automated Production Involving Industry 4.0 Technologies and Artificial Intelligence
Authors: Massaro Alessandro , Contuzzi Nicola , Galiano Angelo
Published: April 2021

The chapter presents different case studies involving technology upgrading involving Industry 4.0 technologies and artificial intelligence. The work analyzes four cases of study of industry projects related to manufacturing process of kitchen, tank production, pasta production, and electronic welding check. All the cases of study concern the analysis of engineered processes and the inline implementation of image vision techniques. The chapter discusses other topics involved in the production process such as augmented reality, quality prediction and predictive maintenance. The classic methodologies to map production processes are matched with innovative technologies of image segmentation and data mining predicting defects, machine failures, and product quality. The goal of the chapter is to prove how the combination of image processing techniques, data mining approaches, process simulation, chart process modeling, and process reengineering can constitute a scientific research project in industry research.
Feasibility Analysis of Industry 4.0 Projects and an Application in Automotive Maintenance Systems
Authors: Sari Irem Ucal , Cafer Eliz , Ak Umut
Published: April 2021

In this chapter, general feasibility analysis steps are redefined for the Industry 4.0 projects. In addition to the traditional feasibility analysis steps, for Industry 4.0 projects, scenario analysis and decision trees are implemented to feasibility analysis that enables us to identify the outcomes of several scenarios for the risky parameters. At the end of the chapter, proposed feasibility analysis procedure is applied to an Industry 4.0 project. Utilization of internet of the things on an automotive maintenance service system is selected as the case study. In this project, the proposed system for the automotive maintenance service sector is a web-based application, which warns driver and maintenance service provider at the same time before the failure happens and by this way enables drivers to have the maintenance before the failure occurs. The versions of the proposed system are analyzed, and the best version is selected at the end of the analysis.
Secure Cyber-Physical Systems for Improving Transportation Facilities in Smart Cities and Industry 4.0
Authors: Thayananthan Vijey , Yazdani Javad
Published: April 2021

The main aim of this strategic research proposal is to develop a model of secure transportation system using efficient CPS which not only reduce the unnecessary accident rates but also increase safety system that enhances the livability of smart cities and Industry 4.0. Although the main focus is efficient security solutions, dynamic and intelligent approaches of the future security solutions will be able to detect the evolving threats and cyberattacks during the data or signal transmission between the users and service providers.
A Study of Quality Tools and Techniques for Smart Manufacturing in Industry 4.0 in Malaysia
Authors: Abd Hamid Mohd Syaiful Rizal , Isa Saifuddin , Boon Cheong Chew
Published: April 2021

This chapter explores the key factors for selecting quality tools and techniques in industrial revolution 4.0, particularly in the smart manufacturing context. What are the factors determining which quality tools and techniques are more applicable in specific circumstances related to quality performance in Industrial Revolution 4.0? To answer this question, authors employ a multiple case study and an in-depth literature review as the research design approach. Two key data collection methods (qualitative methods) are used: (1) Primary data from face-to-face interviews with Toyo Memory Technology and Intel Malaysia (2) Secondary data from previous studies. This review, coupled with the case study analysis, leads to the identification of the real implementation of quality tools and techniques in the industries. The chapter can enhance the reader understanding of Industrial Revolution 4.0 and quality management practices as well as highlight opportunities for further research.
Evaluation of Influence of Principles Involved in Industry 4.0 Over Coal Industries Using TISM
Authors: Sankaranarayanan Bathrinath , Rahul K.  , Pradeep J.  , Ponnambalam S. G. , Saravanasankar S.
Published: April 2021

Coal is the major source of energy in the world. But, the process of extraction and use of coal has adverse effects on the environment. In this chapter, the authors try to reduce these effects by considering the principles and technologies involved in Industry 4.0, also known as the Fourth Industrial Revolution. From a few expert reviews and research works, eight crucial factors were taken into account and were analyzed. The eight factors are consumer, water resources, smart transportation, smart factory, smart grid, smart mining, smart home, and renewable energy. The analysis has been made using the total interpretive structural modeling (TISM) method. The model distinctly demonstrates the influence of the principles of Industry 4.0 over coal industries. This chapter also aims to pave the way for future research and tries to contribute towards the sustainable extraction and usage of coal in energy industries. Consumer plays the most influential role in this regard.
How Supply Chain Management Will Change in the Industry 4.0 Era?
Authors: Aslan Emre
Published: April 2021

Enabled by some maturated technologies in the last decades, a new industrial revolution is predicted to arise that not only affects manufacturing or industry, but many fields of life. It is named the Fourth Industrial Revolution or Industry 4.0. The triggering technologies, concepts, or driving forces mentioned with Industry 4.0 are cyber-physical systems, vertical and horizontal integration, augmented reality, internet of things, internet of services, additive manufacturing and 3D Printers, big data analytics, cloud computing, cybersecurity. Through Industry 4.0, production activities will be made by automatic machines and robot communicating each other. Supply chains will be more integrated due to information and communication technologies based on real-time data sharing. The purpose of this study is to examine the effects of Industry 4.0 on supply chain management. For this purpose, literature is reviewed according to effects of Industry 4.0 on procurement, production, warehousing, transportation, and fulfillment functions of supply chain management.
Enhancing Business Performance of Pakistani Manufacturing Firms via Strategic Agility in the Industry 4.0 Era
Authors: Iqbal Qaisar , Ahmad Noor Hazlina , Tjahjono Heru Kurnianto , Nasim Adeel , Muqaddis Muhammad Mustafa , Palupi Majang
Published: April 2021

Manufacturing plays a substantial role in the economic development of any country because of its multiplier impact on the growth of value addition. Currently, industry 4.0 requires manufacturers to deliver highly customized products without compromising on quality at a reduced life cycle. The objective of this study was to find out a solution for the optimum operation of manufacturing firms. By applying resource-based view, dynamic capability, and effectuation theory, this study has proposed an integrated framework of the organizational network, entrepreneurial bricolage, strategic agility and business performance in the context of the industry 4.0. Moreover, the positive effect of the organizational networks on the strategic agility ultimately improves the business performance of manufacturers. Furthermore, strategic agility is also claimed to play its role as mediator between organizational networks and business performance.
The Effects of Industry 4.0 on Labor Force Attributes and New Challenges
Authors: Aşçı Mehmet Saim
Published: April 2021

Unmanned factories became a topic of discussion after the concept of Industry 4.0 was first introduced in the Hannover Fair in 2001, and increasing the computerization level in business life and supporting the production processes with advanced technology were determined as targets. In this regard, artificial intelligence and increased automation are expected to create new kinds of jobs in the coming years; however, a significant problem is predicted considering that these changes will invalidate a high number of job types exist today. Thus, the workforce will face a severe unemployment threat. As a result of all of this, radical changes in the work methods, along with means of seeking employment, are now considered. The qualities of the work and the workforce are being transformed along with the organization methods of the production. While on the other hand, it becomes evident that education also has to adapt to this transformation. In this study, the issues the labor might have to face during this period will be discussed, along with what could be done to solve these problems.
The Future of Tourism Guidance in the Scope of Industry 4.0 and Next-Generation Technologies
Authors: Topsakal Yunus , Bahar Mehmet , Yüzbaşıoğlu Nedim
Published: April 2021

Next-generation technologies such as robotics, the internet of things, artificial intelligence, sensors, cognitive technologies, nanotechnology, quantum computing, wearable technologies, augmented reality, intelligent signaling, and intelligent robots have led the fourth industrial revolution, often referred to as Industry 4.0. With the rapid advance of technology, most people today rely heavily on the internet to get information while traveling anywhere, because the use of technology has deeply penetrated daily life. The internet also makes travel easier and more convenient. For instance, it is possible to plan travel using smartphones and applications and at the same time meet instant travel needs as they arise. Therefore, the aim of this study is to examine tourism guidance within the scope of the super-smart tourists of the future, to determine the usage areas of next-generation technologies in the field of tourism guidance, and to give recommendations for tourism guidance in this regard.
Analysis of Challenges Responsible for the Slow Pace of Industry 4.0 Diffusion
Authors: Chauhan Chetna , Singh Amol
Published: April 2021

The pace of Industry 4.0 adoption in manufacturing industries has been slow as it is accompanied by several barriers, specifically in the emerging economies. The current study intends to identify and understand the landscape of these challenges. Further, this paper prioritizes the challenges on the basis of their relative importance. To achieve this objective, the authors combine the fuzzy delphi approach along with the fuzzy analytical hierarchy process. Additionally, a sensitivity analysis is done to enhance robustness of the findings. The global rankings of the challenges reveal that the most significant factors that hamper the full realization of smart manufacturing include cybersecurity, privacy risks, and enormously high number of technology choices available in the market. The analysis offers insights into the reasons for the slow diffusion of smart manufacturing systems and the results would assist managers, policymakers, and technology providers in the advent of manufacturing digitalization.
Pallet Scheduling Models Under Deterministic and Non-Deterministic Scenarios Using a Hybrid GA Method
Authors: Zhou Fuli , He Yandong
Published: April 2021

This study examines the pallet scheduling problem considering random demands under the novel pallet operation mechanism by resources sharing among the pallet sharing system. Two nonlinear integer pallet scheduling models under deterministic and non-deterministic environment are formulated in terms of the pallet demand variable. To solve the pallet programming model, the hybrid genetic algorithm (HGA) integrating local search strategy is designed to derive the optimal pallet scheduling solution. Besides, the fixed sample size sampling strategy is employed to deal with the uncertain demand during the non-deterministic programming model, realized by the Monte Carlo simulation. The two models can assist decision makers arrange a scientific pallet scheduling solution under deterministic and non-deterministic atmosphere. Finally, the numerical case is implemented to testify the effectiveness of the two models and efficiency of the hybrid algorithms.
Traffic Change Forecast and Decision Based on Variable Structure Dynamic Bayesian Network
Authors: Zhou Yinglian , Chen Jifeng
Published: April 2021

The rapid development of internet of things (IoT) and in-stream big data processing technology has brought new opportunities for the research of intelligent transportation systems. Traffic forecasting has always been a key issue in the smart transportation system. Aiming at the problem that a fixed model cannot adapt to multiple environments in traffic flow prediction and the problem of model updating for data flow, a traffic flow prediction method is proposed based on variable structure dynamic Bayesian network. Based on the complex event processing and event context, this method divides historical data through context clustering and supports cluster update through online clustering of event streams. For different clustered data, a search-scoring method is used to learn the corresponding Bayesian network structure, and a Bayesian network is approximated based on a Gaussian mixture model. When forecasting online, a suitable model or combination of models is selected according to the current context for prediction.
Abnormal Financial Transaction Detection via AI Technology
Authors: Wang Zhuo
Published: April 2021

Financial supervision plays an important role in the construction of anti-corruption and honesty, but financial data has the characteristics of non-stationary, non-linearity, and low signal-to-noise ratio, and there is no special training set that is used to identify abnormal financial data. This paper generates time series of financial transaction data with a weekly time span, and selects the total transaction amount, transaction dispersion coefficient, and the number of transfers as the characteristics of financial account data. The features are then input in a weighted one-class support vector machine (WOC-SVM) model to determine whether the transaction is abnormal. The weighted one-class support vector machine (WOC-SVM) is learnt on a training set which consists of massive normal transaction due to the difficulty to collect abnormal transactions. The parameters in WOC-SVM are tuned by cross-validation. The experiments on simulation data demonstrate the effectiveness of the WOC-SVM model learnt on selected features to detect suspicious values.
Development of a Framework for Preserving the Disease-Evidence-Information to Support Efficient Disease Diagnosis
Authors: Rajinikanth Venkatesan , Kadry Seifedine
Published: April 2021

In medical domain, the detection of the acute diseases based on the medical data plays a vital role in identifying the nature, cause, and the severity of the disease with suitable accuracy; this information supports the doctor during the decision making and treatment planning procedures. The research aims to develop a framework for preserving the disease-evidence-information (DEvI) to support the automated disease detection process. Various phases of DEvI include (1) data collection, (2) data pre- and post-processing, (3) disease information mining, and (4) implementation of a deep-neural-network (DNN) architecture to detect the disease. To demonstrate the proposed framework, assessment of lung nodule (LN) is presented, and the attained result confirms that this framework helps to attain better segmentation as well as classification result. This technique is clinically significant and helps to reduce the diagnostic burden of the doctor during the malignant LN detection.
An Approach for Retrieving Faster Query Results From Data Warehouse Using Synonymous Materialized Queries
Authors: Chakraborty Sonali Ashish , Doshi Jyotika
Published: April 2021

The enterprise data warehouse stores an enormous amount of data collected from multiple sources for analytical processing and strategic decision making. The analytical processing is done using online analytical processing (OLAP) queries where the performance in terms of result retrieval time is an important factor. The major existing approaches for retrieving results from a data warehouse are multidimensional data cubes and materialized views that incur more storage, processing, and maintenance costs. The present study strives to achieve a simpler and faster query result retrieval approach from data warehouse with reduced storage space and minimal maintenance cost. The execution time of frequent queries is saved in the present approach by storing their results for reuse when the query is fired next time. The executed OLAP queries are stored along with the query results and necessary metadata information in a relational database is referred as materialized query database (MQDB). The tables, fields, functions, relational operators, and criteria used in the input query are matched with those of stored query, and if they are found to be same, then the input query and the stored query are considered as a synonymous query. Further, the stored query is checked for incremental updates, and if no incremental updates are required, then the existing stored results are fetched from MQDB. On the other hand, if the stored query requires an incremental update of results, then the processing of only incremental result is considered from data marts. The performance of MQDB model is evaluated by comparing with the developed novel approach, and it is observed that, using MQDB, a significant reduction in query processing time is achieved as compared to the major existing approaches. The developed model will be useful for the organizations keeping their historical records in the data warehouse.
A Protocol of Methodological Practices in Human Sexuality Journals
Authors: Aslam Muhammad Shahzad
Published: April 2021

The paper examines the editorial policies and pattern of Scopus impact factor (CiteScore). The authors extract the information from the journals about instructions for authors and calculate the impact of CiteScore on editorial policies. The authors pilot bivariate analysis to compare the methodological policy issues of high impact and low impact journals. There is no involvement of human participants; therefore, the current research does not require an ethical review. Results were published in peer-reviewed journals and related conferences. A limitation of this study is language bias due to the selection of English-only articles.
Creating Benevolent Organisations Through Dynamic Servant Leadership
Authors: Bharti Anju , Jit Ravinder
Published: April 2021

Servant leaders build better organizations and create a more positive world. Their focus is mainly on identifying and meeting the needs of others rather than attempting to acquire as much power, wealth, and fame for themselves. This kind of leadership goes beyond serving internal stakeholders, such as employees and contractors. A good servant leader also cares about the external stakeholders, including the customers, the community, and the whole society. It's a positive influence through and through. A servant leader thinks and breathes positivity, compassion, benevolence, and open-mindedness. Implementing the principles of servant leadership helps employees feel more invested in their work and attract top talent in the organization. Servant leadership is a philosophy that places the needs of employees and teams ahead of the leader with the goal of fostering success. This kind of leadership makes the employees committed to make a better society both inside and outside their organizations. Benevolent leaders acknowledge progress, reward success, and celebrate achievement.
Study of Swarm Intelligence Algorithms for Optimizing Deep Neural Network for Bitcoin Prediction
Authors: Ahamed S. Aarif , Ravi Chandrasekar
Published: April 2021

Blockchain, a shared digital ledger, operates on a peer-to-peer network which is used for storing the transactions. Cryptocurrencies are used for transactions in blockchain. The most popular breed among cryptocurrency was bitcoin. Predicting the day-to-day value of bitcoin is a challenging task due to nonlinear and market volatility. There are many statistical methods and machine learning algorithms proposed to forecast the cost of bitcoin, but they were lacking to predict the correct result when the input data set is larger and has more noise. To handle large data set, a deep learning technique has been used. The deep learning algorithms, especially LSTM network, also have some drawbacks such as high computational time, inability to generate higher quality prediction result. To avoid these shortcomings and make LSTM a better model for bitcoin prediction, it is necessary to optimize LSTM network. This paper presents a comparative study of numerous optimized deep learning techniques to forecast the price of bitcoin.