bluuebunny/crossref_metadata_2025 huggingface dataset:
Sustainable Leadership Practices and Employee Health and Safety Measurements
Authors: Varra Lucia , Timolo Marzia
Published: November 2021

This chapter aims to provide an integrated perspective on the relationship between employees' health and safety and sustainable leadership (SL) and on the measurement of company performance in terms of employees' health and safety, according to the international standard—the Global Reporting Initiative (GRI) Standards. This work consists of two parts. The first part reviews the extant literature on the intertwining of health and safety issues with other issues—and, in particular, with sustainable leadership. The chapter utilises the SL foundation practices of Avery and Bergsteiner's model to propose an original model that connects SL practices with policies and practices regarding workers' health and safety, according to a measurement system—The International GRI Standards. The second part focuses on a business case which has validated the proposed model. This work can thus serve as a corporate reporting suggestion of employee health and safety initiatives, examined in a broader view of SL and corporate social responsibility.
Strategies and Tactics for OHS Management to Confront the Pandemic Crisis in the Hospitality Industry
Authors: Bankova Yovka , Kutsarov Hristomir
Published: November 2021

Observance of occupational health and safety conditions is of key importance when reopening accommodation establishments in the conditions of the COVID-19 pandemic. The study aims to present the strategies, tactics, and measures which accommodation establishments apply in response to the regulations set by the governments. In-depth interviews were conducted among top managers of large hotels in Bulgaria. The practice in Spain, France, and the United Kingdom is also studied. The measures applied by the accommodation establishments in the different countries are systematized according to “Total Safety Culture” Geller's model. Results demonstrate similarities of the measures and health and safety procedures in the hospitality industry across the countries with a focus on measures of the prevention type and risk assessment.
The Phenomenon of Counteracting for Information Manipulation
Authors: Lebedeva Nadezhda
Published: November 2021

The highest degree of impact is observed nowadays from the bodies that finance the media. The information community of journalists and television companies are the tools for influencing society. As a result, the picture shown to the audience does not coincide with reality, so the people don't trust the media. Thus, there is a need to find alternatives to what viewers see on the screen of official television channels. This demand also creates a supply, which, having convincing facts and evidence of its innocence, forms an audience. The purpose of the chapter is to consider a practical attempt to counteract the process of manipulation of public consciousness. To achieve this goal, the author of this chapter set the following research tasks: to study the available scientific sources on the topic of manipulative influence on people, to compare the facts provided by the official media, and the means of the YouTube network, and to find a logical explanation for the emergence of the internet party in Ukraine.
Information Literacy and Its Effects on Spotting Misinformation
Authors: Ryan John
Published: November 2021

Facing diverse unverified and verified sources of information, users have to be considerably notified of the best accessible information sources to make informed decisions. The main purpose of this study is to determine the relationship between information literacy and the ability to detect fake news based on structural equation model using data from 300 samples selected through cluster sampling. It is indicated that there is a relationship between information literacy and the ability to spot fake news. Therefore, users should have prerequisite skills to distinguish between fake news and factual content by way of improving the quality of literacy programs of education institutions and promoting a culture of reading and critical thinking.
The Place of Virtual Reality in E-Retail
Authors: Semerádová Tereza , Weinlich Petr
Published: November 2021

The global pandemic of COVID-19 pushed the technological barriers and forced both retailers and potential customers to seek new ways of mutual interaction. Even though considered as mostly exclusive to the gaming industry, virtual reality has been gaining more interest outside its original niche. However, it is not clear how this new technology is going to be accepted by average customers in e-retail. This chapter focuses on defining the concept of virtual reality and providing an overview of aspects associated with virtual immersion. Further, the effects of virtual immersion are examined on a group of university students and put in a perspective with their intention to use this technology for shopping purposes in the future. The main emphasis is put on the comparison of hedonic and utilitarian factors of virtual reality adoption in e-retail.
Adoption of Online Advertising by Small and Medium Enterprises
Authors: Akel Gökhan , Candan Gizem
Published: November 2021

Pandemics have emerged in many stages of human history and have affected many eras. In these eras, establishing and managing communication was as difficult as fighting the disease. The management of pandemics has varied according to the means of communication, innovations with technology, and the impact of mass media. The COVID-19 pandemic period has found the role of digital communication in the changing and transforming world. Because of the many restrictions in this period, some marketing activities were greatly interrupted, and accordingly, the interest of businesses in internet advertising increased. Advances in the internet and ICT have increased the interest and demand for online advertising. Online advertising and marketing activities used only by large companies in the past are now preferred by SMEs. Within the scope of progress and developments, small and medium enterprises (SMEs) have also been involved in the competition by carrying out their advertising activities on online platforms.
The Implications of Virtual Reality (VR) for the Aged
Authors: Lau Yui-yip , Chan Ivy
Published: November 2021

As virtual reality (VR) technology continuously evolves in this century, the number of such applications have undoubtedly increased significantly. Nevertheless, the VR market for the aged is still in a blue ocean. The Hong Kong population is aging more quickly than ever before. This puts a huge stress to the healthcare systems in Hong Kong. In this chapter, the authors describe the updated VR technologies and their applications in a series of emerging healthcare services such as training and green burial for the aged. To this end, the chapter will provide management staff in homes for the aged, hospitals, healthcare service providers, and other health service professionals with the latest concepts and good practices in VR for the aged. The humanistic, holistic, and integrated care for the aged will be achieved in the future.
Anatomy-Based Human Modeling for Virtual Reality (VR)
Authors: Tang Yuk Ming , Chan Hoi Sze , Kuo Wei Ting
Published: November 2021

The authors proposed an anatomy-based methodology for human modeling to enhance the visual realism of human modeling by using the boundary element method (BEM) and axial deformation approach. To model muscle deformation, a BEM with linear boundary elements was used. The significance of tendons in determining skin layer deformation is also discussed. The axial deformation technique is used to allow for quick deformation. To control tendon deformation, the curve of the axial curve is changed. Each vertex of the skin layer is linked to the muscles, tendons, and skeletons beneath it. The skin layer deforms in response to changes in the underlying muscle, tendon, and skeleton layers. This chapter made use of human foot modeling as the case study. Results have illustrated that the visual realism of human models can be enhanced by considering the changes of tendons in the deformation of the skin layer. The lower computational complexity and enhanced visual realism of the proposed approaches can be applied in human modelling for virtual reality (VR) applications.
Cross Reality in Crisis Management
Authors: Yan Mian , Kwok Alex Pak Ki , Wang Cheng Yao , Lian Xin , Zhuang Can Biao , Gao Chang , Huang Ying Ting
Published: November 2021

The continuous technological advancement of computer simulation, display technology, and the internet of things leads to the opportunities to use cross-reality (XR) technologies in crisis management. XR emphasizes the compositions of different concepts in reality-virtuality continuum under a shared online virtual world, including virtual reality (VR), augmented reality (AR), and mixed reality (MR). It is touted as a promising tool to facilitate crisis management strategies in different stages, including prevention, onsite management, and recovery. This research contributes to the field of research in VR, XR, and crisis management (an essential component of healthcare) in the following four ways: (1) It proposes an idea to apply XR in crisis management. (2) It proposes a framework to connect VR, AR, and MR serving one purpose. (3) It presents a qualitative study to examine the user perception of the XR-based crisis management method. (4) It brings out the challenges and opportunities of using XR in crisis management.
Implementation of Static Telecytology Applications for Accreditation Purposes According to ISO 15189
Authors: Archondakis Stavros K. , Oustampasidou Ourania S.
Published: November 2021

Telecytology can be defined as the process of diagnostic cytology performed on digital images. The process of diagnostic cytology performed on digital images can be used for teaching, professional examinations, obtaining expert opinions on severe cases, and routine diagnosis of the entire laboratory workload. Ηowever, little information exists about its possible use for proficiency testing purposes. The existing studies have found a high (90%–95%) concordance between telecytological and glass slide diagnoses, but they refer to a small number of cases. Thus, the purpose of the chapter is to examine the feasibility of developing a proficiency testing scheme for cytology labs wishing to be accredited according to ISO 15189:2012 by using low-cost telemedical applications.
Exploratory Study Explicating Value Addition of Emerging Technologies in the Infrastructure Component of Logistics Performance Index (LPI)
Authors: Bhattacharyya Som Sekhar , Patel Shail
Published: November 2021

India had undertaken several logistics development agendas.Initiatives were aligned to improve the logistics infrastructure in India. Advancement in technology had also benefited the logistics sector. Logistics Performance Index (LPI) has been a multi-dimensional evaluation criterion developed by the World Bank to assess logistics capabilities of countries. The LPI score of India had been low. Regarding this, present research study aimed to analyse the poor performance of India in LPI and how the deployment of emerging technologies could help improve it. The findings were based on a questionnaire shared with five experts. Delphi technique was applied for this study. The prioritization was identified through Analytical Hierarchy Process. The key findings in this study were prioritization of application of emerging technologies for various sub-dimensions of infrastructure like roadways, railways, ports, airports, warehouse, and institution. Emerging technologies like cloud computing, blockchain, internet of things were emphasized by experts to improve the infrastructure of India.
Teleworks
Authors: Anekwe Ifeoma Rita , Chinedu Onyeizugbe , Purity Ndubuisi-Okolo , Ifeoma Anekwe Rita , Grace Akaegbobi
Published: November 2021

Information Communication Technology-based practices have given rise to flexible work arrangements, such as flextime and telecommuting, which increase the amount of autonomy that employees have in their work. The increase in the use of ICTs and technological improvements enabled the development of telework. The study,x-rayed the effect of telework on the performance of tertiary institutions in Nigeria.Descriptive design was adopted and the sample of 39 respondents was drawn from the target population of 16203. Data were analyzed using Pearson product-moment correlation coefficient. The findings revealed that there is a positive and significant relationship between home-based telework and supervision of students by university lecturers in Nigeria. Also, a positiverelationship exists between occasional telework and lecture delivery by university lecturers in Nigeria. The study recommended that management of various tertiary institutions should provide their workers with necessary facilities that will aid home-based teleworks, to increase productivity and ensure improved work quality.
The “High-Road” Approach to Compensation and Benefits Practices
Authors: Madhani Pankaj M.
Published: November 2021

High-road approach organizations deploy commitment-based / high performance working HRM systems and see employees as a sales driver rather than a cost driver They have a long-term perspective and make more investment in their HR by paying them above the industry average and implement policies and practices that focus on employee engagement, satisfaction, and service orientation to enhance organizational performance. This research views compensation and benefits practices through the lens of a high-road approach and provides various frameworks to emphasize the role of the high-road approach in enhancing employee commitment, engagement, loyalty, productivity, and retention thus, leading to healthier organizational growth. The research provides various illustrations to explain how companies have initiated a high-road approach to compensation and benefits practices and improved their overall performance. Research also discusses the barriers to high-road approach adoption and identifies prerequisites for its successful implementation.
A Big Data Application for Energy Consumption Management of Commercial Buildings
Authors: Al Muhaysh Sarah Abdullah , Al Salem Thanaa Saad , Al Jaafari Fatimah Abdullah , Hussain Al Anoud Saleem Al Shaikh , Khwaja Amir Ali
Published: November 2021

The demand for energy is increasing rapidly, and after a few years, it may surpass the available energy, which may lead the energy providers to increase the cost of energy consumption to compensate the cost for the production. This paper provides design and implementation details of a prototype big data application developed to help large buildings to automatically manage their energy consumption by setting energy consumption targets, collecting periodic energy consumption data, storing the data streams, displaying the energy consumption graphically in real-time, analyzing the consumption patterns, and generating energy consumption graphs and reports. The application is connected to Mongo NoSQL backend database to handle the large and continuously changing data. This big data energy consumption management system is expected to help the users in managing energy consumption by analyzing the patterns to see if it is within or above the desired consumption targets and displaying the data graphically.
A Lightweight System Towards Viewing Angle and Clothing Variation in Gait Recognition
Authors: Upadhyay Jaychand Loknath , Gonsalves Tad , Katkar Vijay
Published: November 2021

In this paper, the authors have proposed a computationally efficient, robust, and lightweight system for gait recognition. The proposed system contains two main stages: In the first stage, a classification network identifies optical flow corners in the normalized silhouette and calculates the distances traveled in every viewpoint which is further used by a regression model to identify the viewing angle. In the second stage, a feature extraction network computes the gait energy image (GEI) for every viewpoint and then uses principal component analysis (PCA) to extract low dimensional feature vectors from these GEI images. Finally, a multi-layer perceptron model is trained using the extracted principal components for every viewing angle. The performance of a system is comprehensively evaluated on the CASIA B and OULP gait dataset. The experimental results demonstrate the superior performance of a proposed system in viewing angle classification (100% accuracy), gait recognition (100% accuracy in normal walk), computational efficiency, robustness to clothing, and viewing angle variation.
Identity-Based Online Hate Content
Authors: Chetty Naganna , Alathur Sreejith
Published: November 2021

The content which is expressed over the internet and its associated social media based on any of the protected characteristics like gender, religion, race, and disability is referred to as online hate content. This article aims to examine the user responses on online hate content and determine the predictors of online hate content. With an objective to identify the determinants of online hate content, the data has been collected from 716 internet users using a research instrument designed for the purpose. Both online and offline modes are used for collecting the data. A comprehensive analysis is made using partial least squares path modeling (PLS-PM) package from an open-source software R. The analysis of structural model revealed that the attitude and opinions towards different protected characteristics such as gender, religion, race, and disability are influencers of online hate content. Further, the analysis of measurement models revealed the role of measuring indicators.
The Resource and Leagile Strategy Model for Apparel Export Enterprises
Authors: Shah Adeel , Che Mat Che Rosmawati Binti , Ibrahim Alisa
Published: November 2021

Apparel export enterprises are organizations that are part of the global supply chain. Covid-19, a global pandemic, has emerged as a supply chain disruption since March 2020. The situation is uncertain, and export enterprises at upstream need clear visibility to manage business activities at their end. Due to Covid-19, all global chain stakeholders are at risk, but the apparel chain upstream is more vulnerable than in developing and underdeveloped countries. The situation is exacerbating sustainability and causing labor jobs, excess inventory, production waste, and irresponsible raw material consumption. The paper aims to propose a model based on resource capabilities and a supply chain strategy for exporting enterprises. The model presented in the research is the 'Resource & Leagile Strategy' (RLS) model. The study uses the resource-based view (RBV) to specify resources and leagile strategy to manage the uncertainties created due to Covid-19.
Increasing Sustainability Through Reverse Logistics
Authors: Soomro Musawir Ali , Nazir Urooj , Khan Arham
Published: November 2021

Increasing sustainability is the objective in all manufacturing and service sectors. For the increasing sustainability via circular economy, the research at hand reviews reverse logistics within the pharmaceutical industry of Pakistan. It proposes a recommendation to improve the current process of recycling medicines. The methodology is a qualitative method comprising unstructured interviews with an esteemed organization and observations to understand the dynamics of recycling and reverse logistics in drugs. The study helps develop and illustrates a framework divided into three stages (Distributor/Hospitals in 1st Tier, Whole sellers in 2nd Tier, Retailers and Customer in 3rd Tier) to target the customers and bring them into reverse logistics. The paper recommends policy implications to help improve the situation and initiate a sustainable practice for the environment and cost-efficient, including steps wise phases to gauge consumers for recycling medicines.
Medical Science Potential Predatory Journals in Reputed and Counterfeit Indexing Databases
Authors: Jan Rosy , Gul Sumeer
Published: November 2021

Getting a journal indexed reflects high-quality scientific integrity, which differentiates it from a non-indexed journal. Quantitative analysis of indexing status of a randomly selected sample of 121 predatory journals listed on https://beallslist.net/standalone-journals/ was carried out to ascertain their presence in various reputed bibliographic databases. The study's findings divulge that the presence of predatory journals in bibliographic databases is not significantly widespread. However, some indexing databases such as Emerging Sources Citation Index (ESCI) and PubMed reflect slightly greater values than anticipated and need to be scrutinized and reviewed regularly. Further, the study found that these journals incorporate many metrics under indexing/abstracting information which are not in a true sense suitable to be categorized as indexing abstracting databases. Further, Index Copernicus, Scientific Journal Impact Factor (SJIF), National Academy of Agricultural Sciences (NAAS), Global Impact Factor (GIF) are the most used counterfeit indexing services by the journals.
Towards Group Decision Support in the Software Maintenance Process
Authors: Zoheir Dinedane Mohammed , Kamel Abdi Mustapha
Published: November 2021

Software maintenance is an element-key of the life cycle of software. However,the techniques of software maintenance do not consider the diversity and the complexity of decisions which do not stop increasing. So, there are at present a few tools, susceptible to insure the relevance and the efficiency of the decision-making in this phase. The work presented in this paper aims to eliminate or at least to reduce the effect to fall in an expensive change by reducing the time to find a compromise on the adequate change. The development of the decision support system for software maintenance is an answer to the problem. The developed tool allows:-to make a fast diagnosis on the software by using the coupling metrics;-to help the decision-makers of the maintenance, according to their preferences often conflicting, to adopt a change among several proposed. To answer this group decision where various points of view are considered, we propose a negotiation protocol. This protocol try to find a compromise that suits best all the decision-makers.
Systematic Review of Indexing Spatial Skyline Queries for Decision Support
Authors: Bavirthi Swathi Sowmya , Supreethi K. P.
Published: November 2021

Residing in the data age, researchers inferred that huge amount of geo-tagged data is available and identified the importance of Spatial Skyline queries. Spatial or geographic location in conjunction with textual relevance plays a key role in searching Point of Interest (POI) of the user. Efficient indexing techniques like R-Tree, Quad Tree, Z-order curve and variants of these trees are widely available in terms of spatial context. Inverted file is the popular indexing technique for textual data. As Spatial skyline query aims at analyzing both spatial and skyline dominance, there is a necessity for a hybrid indexing technique. This article presents the review of spatial skyline queries evaluation that include a range of indexing techniques which concentrates on disk access, I/O time, CPU time. The investigation and analysis of studies related to skyline queries based upon the indexing model and research gaps are presented in this review.
Two Trigonometric Intuitionistic Fuzzy Similarity Measures
Authors: Boora Rozy , Tomar Vijay Prakash
Published: November 2021

Intuitionistic Fuzzy Sets(1986) invented by Atanassov(Atanassov, 1986) has gained the wide popularity among various researchers because of its applications in various fields such as image processing, edge detection, medical diagnosis, pattern recognition etc. One of the significant tool by which the decision can be made is Intuitionistic Fuzzy Similarity Measure. In this communication, the authors have introduced two new Intuitionistic fuzzy similarity measures based on the trigonometric functions and its validity is proved. The proposed similarity measure is applied to medical diagnosis and pattern recognition.
Controlled Synthesis of Multifunctional Coatings by Micro-Arc Oxidation Method
Authors: Pecherskaya Ekaterina Anatol'evna , Golubkov Pavel Evgen'evich , Karpanin Oleg Valentinovich , Safronov Maxim Igorevich , Zinchenko Timur Olegovich , Artamonov Dmitriy Vladimirovich
Published: November 2021

The article is devoted to the development of the methodology for the controlled synthesis of protective coatings by the micro-arc oxidation method in order to improve the efficiency of this technology and the quality of the obtained oxide layers. Methodology includes a mathematical model of a galvanic cell based on an equivalent electrical circuit, as well as a model of the interconnections between the technological parameters of the micro-arc oxidation (MAO) process and the properties of the obtained oxide layers based on graph theory. The indicated dependences are formalized using methods of regression and correlation analysis of experimental data. A technique for the controlled synthesis of MAO coatings using the obtained regression equations is proposed. The structure and functioning algorithm of an intelligent automated system for the controlled synthesis of MAO coatings are developed. A prototype of this system was used to obtain experimental dependences of reaction parameters on the influence parameters of the micro-arc oxidation process.
Configuring Methods for Deadlock-Free Routing
Authors: Olenev Valentin , Karandashev Alexandr
Published: November 2021

This paper discusses the problem of tracking of deadlock-free routes. A brief overview of existing software tools providing this functionality is given. A complete overview of the proposed software for building routes for given SpaceWire onboard networks is presented. The paper discusses the application of different existing methods for the choosing of the best route from the list of the deadlock-free routes. A brief overview of the methods for of choosing the best route according to the provided criteria is given. A new method for choosing of the best route and its modification is proposed. Authors provide the result of the methods application and the detailed comparison.
Sustainable Organizational Development
Authors: Vargas-Hernández José G.
Published: November 2021

This study is aimed to analyze the various features and elements related to strategic organizational sustainability. The analysis departs from the assumption that traditional organizations must face a lot of challenges posed by the new global economy context confronting contradictory patterns of globalization and des-globalization processes. To create the new conditions for the organizations not only to survive but to succeed, it is proposed a new model based on designing and implementing strategic organizational sustainability, abandoning the narrow focus on economic growth and profits to embrace the social inclusion and equity as well as the environmental sustainability issues. Keywords: Economic growth, Organizational sustainability, organizations, social inclusion, strategy, sustainability.
Implicit Cognitive Vulnerability Through Nudges, Boosts, and Bounces
Authors: Crawford Caroline M. , Andrews Sharon , Wallace Jennifer K. Young
Published: November 2021

Implicit Cognitive Vulnerability is a developing theoretical understanding, wherein feeling safe within an instructional environment is of significant impact upon short-term and long-term memory’s cognitive acquisition of information so as to embed new information within a learner’s conceptual framework of understanding. Towards successfully individualizing a learner’s implicit cognitive vulnerability, the primary focus has been upon the larger community environment in which the learner is housed, yet the viability of the learner’s ability and cognitive viability must also be addressed through nudges, boosts and bounces of motivational support. Recognizing this individualized need of learners, this discussion revolves around the ability of a learner to embed implicit cognitive vulnerability within their own cognitive viability through structured and unstructured synchronous and asynchronous nudges and boosts that support self-regulatory and self-efficacy understandings.
A Biblical Argument for Veganism
Authors: Raphaely Talia , Marinova Dora
Published: November 2021

This paper argues that veganism is the ideal diet for a religious and spiritual Biblically endorsed lifestyle. Both Christians and Jews are guided by the Old Testament's injunctions and writings, which equally support a vegan lifestyle. Areas of discussion include G-d's first intention, the Biblical goals of preservation of health, compassion for animals, equitable sharing of food with the hungry, environmental protection and wellbeing, including conservation of resources, preserving and healing the world, seeking and pursuing peace. It concludes that in light of the animal, human, and environmental impacts of modern livestock production and consumption, veganism is the moral, ethical, and spiritually-supported choice for those who subscribe to lifestyles led and inspired by the stories, interpretations, commentaries, injunctions, and guidance of the Hebrew Bible. It also offers spiritually directed followers a sacred way to actively, yet non-violently, oppose daily human, animal, and environmental welfare violations caused by meat production and consumption.
A QoS-Aware Fuzzy-Based System for Assessment of Edge Computing Resources in SDN-VANETs
Authors: Qafzezi Ermioni , Bylykbashi Kevin , Ampririt Phudit , Ikeda Makoto , Matsuo Keita , Barolli Leonard
Published: November 2021

Vehicular ad hoc networks (VANETs) face resource management challenges due to their dynamic network topology and massive amount of data generated by the ever-increasing number of vehicles. In this paper, the authors implement a fuzzy-based system for assessment of neighboring vehicles processing capability (FS-ANVPC), in which they consider two models (FS-ANVPC1 and FS-ANVPC2) to assess the available edge computing resources in software-defined VANETs. The proposed system determines the processing capability of each neighboring vehicle, and based on the final value, it can be decided whether the edge layer can be used by the vehicles in need of additional resources. FS-ANVPC1 takes into consideration the available resources of the neighboring vehicles and the predicted contact duration between them and the vehicle in need, while FS-ANVPC2 includes in addition the quality of service of the communication link among vehicles. The authors evaluate the proposed system by computer simulations. From the evaluation results, they see that FS-ANVPC2 shows better results than FS-ANVPC1 although its complexity is higher.
A Dynamic Scaling Approach in Hadoop YARN
Authors: Nemouchi Warda Ismahene , Boudouda Souheila , Zarour Nacer Eddine
Published: November 2021

In Cloud based Big Data applications, Hadoop has been widely adopted for distributed processing large scale data sets. However, the wastage of energy consumption of data centers still constitutes an important axis of research due to overuse of resources and extra overhead costs. As a solution to overcome this challenge, a dynamic scaling of resources in Hadoop YARN Cluster is a practical solution. This paper proposes a dynamic scaling approach in Hadoop YARN (DSHYARN) to add or remove nodes automatically based on workload. It is based on two algorithms (scaling up/down) which are implemented to automate the scaling process in the cluster. This article aims to assure energy efficiency and performance of Hadoop YARN’ clusters. To validate the effectiveness of DSHYARN, a case study with sentiment analysis on tweets about covid-19 vaccine is provided. the goal is to analyze tweets of the people posted on Twitter application. The results showed improvement in CPU utilization, RAM utilization and Job Completion time. In addition, the energy has been reduced of 16% under average workload.
A Software Fault Prediction on Inter- and Intra-Release Prediction Scenarios
Authors: Mishra Ashutosh , Singla Meenu
Published: November 2021

Software quality engineering applied numerous techniques for assuring the quality of software, namely testing, verification, validation, fault tolerance, and fault prediction of the software. The machine learning techniques facilitate the identification of software modules as faulty or non-faulty. In most of the research, these approaches predict the fault-prone module in the same release of the software. The model is found to be more efficient and validated when training and tested data are taken from previous and subsequent releases of the software respectively. The contribution of this paper is to predict the faults in two scenarios (i.e., inter- and intra-release prediction). The comparison of both intra- and inter-release fault prediction by computing various performance matrices using machine learning methods shows that intra-release prediction has better accuracy compared to inter-releases prediction across all the releases. Also, both the scenarios achieve good results in comparison to existing research work.
DynComm
Authors: Sarmento Rui Portocarrero , Lemos Luís , Cordeiro Mário , Rossetti Giulio , Cardoso Douglas
Published: November 2021

The analysis of dynamics in networks represents a great deal in the social network analysis research area. To support students, teachers, developers, and researchers in this work, the authors introduce a novel R package, namely DynComm. It is designed to be a multi-language package used for community detection and analysis on dynamic networks. The package introduces interfaces to facilitate further developments and the addition of new and future developed algorithms to deal with community detection in evolving networks. This new package aims to abstract the programmatic interface of the algorithms, whether they are written in R or other languages, and expose them as functions in R.
Composite Geoelectrical Investigation to Delineate Groundwater Feasibility in Hard Rock Area of Raipur, Chhattisgarh, India
Authors: Singh Anirudh , Mondal K. C. , Veerababu N. , Ramadevi Akoju , Elisela N. Rao
Published: November 2021

In hard rock terrains, groundwater movement, migration, and storage occur through subsurface fractures. To assess the fractures and associated water, the authors carried integrated geophysical investigation with Wenner, GRP, Schlumberger, and Pole-Dipole array in the Indian state. The resistivity survey was carried out using a CRM-500 resistivity meter. The analyzed results are also re-verified with the help of IPI2WIN software. Initially, lateral and surface variations of resistivity were plotted by using Wenner and gradient resistivity profiling array. Then the low resistivity points were investigated with Schlumberger and Pole-Dipole array. In interpretation, low resistive zones identified correspond to the possible fractured zones. The results allowed mapping of the weathering zone at depth 12 to 15 m, and deep fracture lies below depth 55.0 m depth. The present study validates that the integrated geophysical survey is a powerful exploration technique to scrutinize and identify water-bearing fractures in the hard rock area.
ISO 14000 Environmental Management System for Sustainable Development and Environment in Business
Authors: Sayan Ilknur
Published: November 2021

Today, environmental pollution is a global problem. Industrialization, rapid urbanization, technological advances, economic developments, and increasing world population have brought environmental pollution with them. Environmental pollution has reached a level that threatens human health and safety. Environmental management systems are useful and important in many ways such as reducing the negative effects of businesses on the environment, creating a safe working environment, preventing pollution, reducing costs, reducing risks, improving environmental performance, and improving corporate image. The aim of this study is to emphasize the importance of ISO 14000 environmental management system standards for sustainable development and environment in business. In this direction, the study explains sustainable development, sustainable environment, the characteristics, importance, development, stages, standards, and benefits of the ISO 14000 environmental management system for businesses.
Managing Uncertainties in Design Alternatives of EOL Products With Fractional Disassembly Yields
Authors: Joshi Aditi D. , Gupta Surendra M.
Published: November 2021

This paper proposes a model of an advanced remanufacturing to order and disassembly to order (ARTODTO) system which evaluates various design alternatives of products to satisfy the demands of retrieved products, components, and materials by disassembling these products at the end of their lives. The quality, quantity, and variety of end-of-life (EOL) products are uncertain which leads to fractional disassembly yields. Goal programming is used to determine the quantities of EOL products to be acquired in order to meet all the demands of retrieved products, components, and materials. A case example of EOL dryers is presented to demonstrate the steps and implementation of the proposed model.
Student Perceptions of General Education Courses at the Faculty of Engineering and Technology, University of Botswana
Authors: Moalosi Richie , Uziak Jacek , Rapitsenyane Yaone
Published: November 2021

To adequately prepare graduates for the ever-changing and complex work environment, students should be equipped with technical and professional skills. This can be achieved by a curriculum that incorporates general education courses (GEC) that teach diverse essential skills that every graduate must possess (e.g., academic and professional competencies, ethics, global learning, and active citizenship). Such courses will produce a well-rounded learning experience and well-versed graduate. A descriptive cross-sectional survey was conducted with undergraduate engineering and industrial design students at the University of Botswana. The study assessed the students' current perceptions of the GEC. The results show that the skills outlined in the learning and teaching policy of the University of Botswana are poorly attained. Furthermore, the skills outlined in the policy are not aligned with the skills that will be needed by graduates in the 4th Industrial Revolution. The GEC curriculum at the University of Botswana needs to be reviewed.
A Shattered Supply Chain in the New Era of Enterprise E-Commerce
Authors: Wang John , Zhou Steve Bin , Hsu Jeffrey , Hsu Jeffrey
Published: November 2021

Once upon a time, there was a "Cheapest Supply House on Earth". During the late 1970's, its annual revenue would at times make up about 1% of the U.S. GDP. From 1973-1998, it had the tallest building in the world. However, how did an American icon slowly but surely become stained? Analyzing its collapse allows businesses to look at the importance of constantly assessing how the market is everchanging, and finding new approaches and techniques to stay competitive and advanced. With corporate social responsibility, a supply chain in the new era of enterprise e-commerce can be strengthened and integrated.
Modified Dominance-Based Soft Set Approach for Feature Selection
Authors: Jothi G.  , Hannah Inbarani H.  , Azar Ahmad Taher , Fouad Khaled M. , Sabbeh Sahar Fawzy
Published: November 2021

Big data analysis applications in the field of medical image processing have recently increased rapidly. Feature reduction plays a significant role in eliminating irrelevant features and creating a successful research model for Big Data applications. Fuzzy clustering is used for the segment of the nucleus. Various features, including shape, texture, and color-based features, have been used to address the segmented nucleus. The Modified Dominance Soft Set Feature Selection Algorithm (MDSSA) is intended in this paper to determine the most important features for the classification of leukaemia images. The results of the MDSSA are evaluated using the variance analysis called ANOVA. In the dataset extracted function, the MDSSA selected 17 percent of the features that were more promising than the existing reduction algorithms. The proposed approach also reduces the time needed for further analysis of Big Data. The experimental findings confirm that the performance of the proposed reduction approach is higher than other approaches.
Trends and Patterns in Turnaround Strategies
Authors: Dzingirai Mufaro , Baporikar Neeta
Published: November 2021

The paper aims to examine the publications on turnaround strategies and identify scientific gaps. Hence, bibliographic couplings of countries, institutions, journals, publications, authors, and co-occurrences of the author keywords were analyzed. Bibliographic methods were employed to examine and visualize the characteristics of the publications with the aid of VOSViewer software. Using 174 articles from the Scopus database, the results revealed that corporate distress, turnaround, organizational decline, turnaround strategies, corporate strategy, financial distress, retrenchment, turnaround strategy, and turnarounds were among the most studied key concepts in this area, The “Journal of Strategy and Management” and “European Management Journal” were the top journals. United States, United Kingdom, and India were the most influential countries. The Fort Hays University and McMurry University were top research institutions. Notably, Huang, Y., Reddy, K.S., and Xie, E. were the most influential authors in this research area. These results will help academicians and practitioners.
Deep Reinforcement Learning-Based Pedestrian and Independent Vehicle Safety Fortification Using Intelligent Perception
Authors: Vijayakumar P.  , Jegatha Deborah L.  , Rajkumar S. C.
Published: November 2021

The Light Detection and Ranging (LiDAR) sensor is utilized to track each sensed obstructions at their respective locations with their relative distance, speed, and direction; such sensitive information forwards to the cloud server to predict the vehicle-hit, traffic congestion and road damages. Learn the behaviour of the state to produce an appropriate reward as the recommendation to avoid tragedy. Deep Reinforcement Learning and Q-network predict the complexity and uncertainty of the environment to generate optimal reward to states. Consequently, it activates automatic emergency braking and safe parking assistance to the vehicles. In addition, the proposed work provides safer transport for pedestrians and independent vehicles. Compared to the newer methods, the proposed system experimental results achieved 92.15% higher prediction rate accuracy. Finally, the proposed system saves many humans, animal lives from the vehicle hit, suggests drivers for rerouting to avoid unpredictable traffic, saves fuel consumption, and avoids carbon emission.
Electronic Surveillance System for COVID-19 Virus Management in Palestine
Authors: Amro Hamsa Yasser , Najjar Shahenaz , Moreb Mohammed
Published: November 2021

This research investigated the performance of the electronic surveillance system of COVID-19 and assessed its key attributes. The research results for the overall system performance were good (82.81%). The highest attribute score was 100% for representativeness and data completeness and the lowest score was 75.30% for acceptability. The COVID-19 surveillance system is generally simple and accepted by users, although the instability of electricity and the internet, the benefit from the training on the system, and the lack of willingness to participate in the system at the health facility level had the greatest impact on simplicity and acceptability scores. The quality and completeness of the data enabled stakeholders to carry out the most effective prevention and control activities. System developers indicated that the system has achieved the desired benefit, due to the flexibility and stability of the system and comprehensiveness of geographical coverage.
Building Trust in eCommerce
Authors: Karimov Farhod Pulatovich
Published: November 2021

Integrating diverse social media cues such as photos, video streaming, and social networking has become a common marketing strategy to boost consumer trust in an online setting. In this paper, the authors study the influence of social-cue design dimensions such as a facial photo, a video stream, and social networking site on trust through an experiment. The results show that online retailers can enhance consumer trust and stimulate a clear purchase intention by embedding social media cues into a web interface.
Diffusion Analysis for Techno-Commercial Predictions in 5G HetNet Deployment Scenarios
Authors: Jha Ashutosh , Saha Debashis
Published: November 2021

Fifth-generation (5G) mobile services entail network densification, having massive MIMO air interfaces operating at millimeter-wave (mmWave) frequencies. Techno-economic analysis for such a complex heterogeneous network (HetNet) is challenging due to uncertain future demand and technical hurdles for ensuring seamless nationwide coverage and capacity. The authors show in this work how a logistic diffusion model may be used to forecast 5G adoption in a country and then utilize those forecasts to perform a techno-economic assessment of 5G deployment. The complete analysis is showcased for a European nation, namely France, for the period 2020-2030. The authors find that, theoretically, both the Capex and the total cost of ownership (TCO) for the considered 5G HetNets is cheaper (1/7th) than that for 4G LTE-Advanced (LTE-A) networks, also translating into higher returns. The sensitivity analysis predicts the average revenue from users (ARPU), spectrum acquisition costs, and spectrum bandwidth as the most influential variables for profitability.
Factors Influencing Digital Innovation Strategy in Organizations
Authors: Tahirkheli Sheryar Khan , Ajigini Olusegun Ademolu
Published: November 2021

Prior research has shown that digitalization is found to deliver a source of investigation for presenting organizations to redesign their business model in order to align their strategy towards digital transformation. This study examines the factors influencing digital innovation strategy in organizations and a model for digital innovation strategy in organizations is also developed . Specifically, drawing on data from 450 respondents, the researchers propose that the following variables: organizational IT application portfolio, organizational culture, organizational structure, organizational dynamic capabilities, leadership and ethics predict innovation and strategy in organizations. The researchers found that organizational culture variable contribution was the highest by collectively predicting 78.1% for digital innovation & strategy in organizations. Overall, this study contributes to the literature by providing a model for developing digital innovation strategy in organizations.
A Suggested Integrated Approach for the Evaluation of Remote Intranet Usability
Authors: El Said Ghada Refaat Mohamed
Published: November 2021

As the societal impacts of the Covid-19 progress, so do the workplace and business challenges the pandemic has brought on. It is now crucial to conduct user testing to measure and optimize the usability of corporate Intranets under pandemic conditions. This paper suggests and validates an integrated approach for Intranet remote usability evaluation validated by user testing in a work from home context during a pandemic. The main contribution of the current research is the discovery of some users preferences specific to work from home workers during a pandemic not previously addressed in the literature on intranets.