bluuebunny/crossref_metadata_2025 huggingface dataset:
Agapetes heana, a new species of A. ser. Longifiles (Ericaceae) from Yunnan, China
Authors: Tong Yi-Hua , Bai Ying , Feng Jian-Ming , Ya Ji-Dong
Published: August 2021

Agapetes heana Y. H. Tong & J. D. Ya (Ericaceae), a new species from Lüchun Xian, Yunnan Province, China is described and illustrated. This new species is assigned to Agapetes sect. Agapetes ser. Longifiles Airy Shaw. It is closest to A. inopinata Airy Shaw and A. oblonga Craib, but differs in having bead-like tubers, leaf blade with a wholly serrulate margin, subulate and much longer calyx lobes, much larger corollas that are carmine, green at the apex and maroon on angles, and longer stamens without spurs on the back.
La médiation des outils de gestion entre compétences et performance dans l’intégration régionale des PME ivoiriennes, sénégalaises et camerounaises
Authors: Dagou Dagou Hermann-Wenceslas , Dieme Mouhameth , Ipoumb Ginette Polienne
Published: August 2021

L’intégration régionale semble offrir une stimulation de la croissance économique. Elle est de plus en plus reconnue pour favoriser le développement et l’intégration des PME à l’économie mondiale. Pourtant, les PME qui représentent plus de 90% de la population des entreprises doivent élaborer des stratégies régionales compétitives afin d’aller en ce sens. Dans ce contexte, on peut estimer que le dynamisme des outils de gestion est indispensable pour que les PME jouent leurs rôles. Cet article analyse la médiation des outils de gestion entre compétences et performances face à une stratégie d’intégration régionale. Les données sont obtenues auprès de 195 PME (70 en Côte d’Ivoire, 62 au Sénégal et 63 au Cameroun), traitées par la méthode des Moindres Carrés Partiels. Les résultats révèlent une régularité des outils de communication pour l’ensemble des pays, avec un accent sur la gestion de la qualité et la comptabilité-finance au Sénégal, la culture d’entreprise et la stratégie au Cameroun. En outre, les méta-compétences et compétences sociales se révèlent régulatrices de la contribution de chaque pays à l’intégration régionale.
Promouvoir la marque employeur sur les réseaux sociaux professionnels via la communication de recrutement : les bonnes pratiques
Authors: Fueyo Céline
Published: August 2021

Cette recherche examine la Communication de Recrutement (CR) sur les réseaux sociaux professionnels en tant qu’instrument d’influence pouvant affecter les attitudes et les comportements des employés potentiels à l’égard de la Marque Employeur (ME). En empruntant les théories de l’efficacité publicitaire par une approche marketing RH, une étude qualitative en quatre étapes, réalisée auprès d’employés potentiels, permet de recommander, aux responsables marketing et RH, un référentiel de bonnes pratiques pour concevoir une CR. Plus précisément, les résultats montrent que : 1) la CR est jugée utile par les employés potentiels, 2) la CR binomiale est plus attractive, plus persuasive que la CR partielle, 3) les CR binomiales qui engendrent a) des humeurs positives, b) une forte projection de soi et c) une perception de temps gagné et de risque d’erreur réduit, impactent positivement la perception de la ME et favorisent l’intention d’interagir. Cet article ouvre de nombreuses voies de recherche dans le champ du marketing RH en termes de communication digitale de la ME.
Rapid exponential stabilization by boundary state feedback for a class of coupled nonlinear ODE and $ 1-d $ heat diffusion equation
Authors: Benabdallah Abdallah , Dlala Mohsen
Published: August 2021

In this paper, we solve the problem of rapid exponential stabilization for coupled nonlinear ordinary differential equation (ODE) and \begin{document}$ 1-d $\end{document} unstable linear heat diffusion. The control acts at a boundary of the heat domain and the heat equation enters in the ODE by Dirichlet connection. We show that the infinite dimensional backstepping transformation introduced recently for stabilization of coupled linear ODE-PDE can deal with a nonlinear ODE and obtain a global stabilization result. Our result is innovative and no similar result can be found in the literature as it combines the three following factors, i) nonlinear term in the ODE subsystem, ii) unstable PDE subsystem and iii) mixed boundary condition. Not only this, the techniques used in this work can provide answers to fundamental questions, such as the stabilization of coupled systems where both subsystems may contain nonlinear terms.
Hermite-Hadamard type inequalities based on the Erdélyi-Kober fractional integrals
Authors: Hai XuRan ,   College of Mathematics and Physics, Inner Mongolia Minzu University, Tongliao 028000, China, Wang ShuHong
Published: August 2021

In the paper, based on Erdélyi-Kober fractional integrals $ ^\rho \mathcal{K}^\alpha_{\chi+}f $ and $ ^\rho \mathcal{K}^\alpha_{\chi-}f $ for any $ \chi\in[a, b] $ with $ f\in\mathfrak{X}_c^p(a, b) $, authors establish some new Hermite-Hadamard type inequalities for convex function. The obtained inequalities generalize the corresponding results for Riemann-Liouville fractional integrals by taking limits when a parameter $ \rho\rightarrow1 $. As applications, the error estimations of Hermite-Hadamard type inequality are also provided.
Two-person zero-sum stochastic games with varying discount factors
Authors: Wu Xiao ,   School of Mathematics and Statistics, Zhaoqing University, Zhaoqing, 526061, China, Wang Qi , Kong Yinying ,   School of Mathematics, Sun Yat-Sen University, Guangzhou, 510275, China,   School of Intelligence Financial Accounting Management, Guangdong University of Finance and Economics, Guangzhou, 510320, China
Published: August 2021

In this paper, two-person zero-sum Markov games with Borel state space and action space, unbounded reward function and state-dependent discount factors are studied. The optimal criterion is expected discount criterion. Firstly, sufficient conditions for the existence of optimal policies are given for the two-person zero-sum Markov games with varying discount factors. Then, the existence of optimal policies is proved by Banach fixed point theorem. Finally, we give an example for reservoir operations to illustrate the existence results.
Digital Transformation in Business Era
Authors: Kaur Amaninder , Monga Sheenam
Published: August 2021

The chapter offers the roadmap for digital transformation. The aim of the research is to give insight into the fundamental comprehension of digital transformation. This era of increased technological proliferation combined with internet and mobile penetration presents a favorable ecosystem for the development of e-commerce in India. The country is currently at the cusp of a digital revolution. Launch of 4G services and decline in the tariffs of data plans and prices of data cards/USB dongles have reduced the cost of ownership of an effective internet connection and also availability of low-cost smartphones, and the extension of internet and broadband to the remotest corners will boost the augmentation of the internet user base, effectively bridging the gap between potential online buyers and actual buyers. The demographic dividend of the country also seems to encourage and favor the growth of e-commerce. E-commerce is a business online.
Digitalisation and Financial Service Innovation in Banking
Authors: Murugan S. Bala
Published: August 2021

The banking environment has become highly competitive today. The banking sector is undergoing the process of radical transformation due to excessive competition of foreign and private players and changes in tastes, preference, and habits as well as expectations of customers for newer products. India has a diversified financial sector undergoing rapid expansion, both in terms of strong growth of existing financial services firms and new entities entering the market. The Government of India has introduced several reforms to liberalise, regulate, and enhance this industry. The Government and Reserve Bank of India (RBI) have taken various measures to facilitate easy access to finance for micro, small, and medium enterprises (MSMEs). Also, the advancements in technology have brought the mobile and internet banking services to the fore. Thus, many banks launched contact-less credit and debit cards in the market. These types of cards, which used to near field communication (NFC) mechanism, allowed customers to transact without having to insert or swipe.
Impact of the Digital Transformation Process on Bank Relationships With Customers
Authors: Suresh C.
Published: August 2021

Modern world digitalization is inevitable. The role of digitalization in the banking sector has altered customers' preferences and demands. The latest innovation and developments in the digital era have affected the banking industry and the effects on the relationship between customers and banks. The banks' new digital focus has to be aligned with other factors in the banks for them to function effectively. The purpose of this study is to investigate how the banks' relationship with customers is affected by this digital focus. It indicates that the relationship with customers has become less personalized and more automated. It also shows that an alignment in the bank has contributed to increased satisfaction among digitally oriented customers.
Indian Digital Transformational Initiatives in the Higher Education System
Authors: Esakki Thangasamy
Published: August 2021

Globally, the developmental process primarily originates from creative and innovative thinking of an individual. Undoubtedly, higher education promotes the academic quality and research in a country. In order to disseminate knowledge to the aspirants in educational and research institutions, the information and technology has been put to use widely across the world. The digital transformation gained importance in the field of education to accelerate the wheels of world economy. During its period of transition, there are multifarious managerial issues. They ought to be tackled prudently by the government or policymakers. Otherwise, digital transformation in higher education can never be considered as a boom but bane. Hence, it necessitates an efficient management for yielding better fruits. The current study has been undertaken to examine the Indian digital initiatives in the higher education system, identify the crucial managerial issues, and suggest remedies for improvement of the Indian higher education system via digital transformation.
Mind the Gap
Authors: Yılmaz Kemal Özkan
Published: August 2021

The COVID-19 pandemic has amplified the influence of digital transformation on business entities. Although it is becoming more feasible to invest in digital technologies due to their swift progression in terms of reaching higher technical capabilities and better pricing levels, some companies could not achieve expected improvements in their business results. On the contrary, a remarkable number of companies had the opportunity to develop their businesses by leaps and bounds. Academic research on the subject revealed that a company's digital maturity level is directly related to the company's success and progress in sustainability issues. In this chapter, the concepts of cross-functional collaboration and corporate digital cultures, which are the basic components of achieving digital maturity, which must be coordinated together, are elaborated, and an applicable roadmap proposal is created.
Landmark Recognition Using Ensemble-Based Machine Learning Models
Authors: Bansal Kanishk , Rana Amar Singh
Published: August 2021

Recognizing landmarks in images with machine learning is an excellent topic for research today. Landmark recognition is an important field in computer vision. In this field, we train the machine learning models to identify and recognize the closed distinctly distinguishable objects in a digital image. In general, if we consider a digital image to be a set of coordinates of different pixels, a landmark is said to be enclosed in that closed polygon formed by the pixels that may be considered as a distinct and distinguishable thing in one or the other sense. Landmark recognition is an important subject area of image classification since it is considered as one of the first steps towards reaching complete computer vision. The extremely broad definition of a landmark makes it eligible to be considered as one of the leading problems in image classification tasks. Since the task is considered to be a very broad one, the solutions to the task hold no easy procedures. This chapter explores landmark recognition using ensemble-based machine learning models.
Pandemic Management Using Artificial Intelligence-Based Safety Measures
Authors: Nain Megha , Sharma Shilpa , Chaurasia Sandeep
Published: August 2021

The pandemic corona virus disease (COVID-19) caused by the virus ‘SARS-CoV-2' continues affecting the health and affluence of the worldwide population. The role of artificial intelligence in improving safety and health conditions has been studied in the chapter. The various fields of artificial intelligence such as machine learning, computer vision, deep learning, and natural language processing are contributing to almost every field ranging from healthcare, agriculture, automotive, astronomy, and many others. For overcoming a global outbreak such as COVID-19, conventional approaches are not feasible enough, and therefore the requirement for the more robust and automated techniques for making predictions in advance is essential. The vision of this chapter is to assess and survey the impact of artificial intelligence-based approaches in the management of pandemics and recommend procedures for the enhancement of the currently used techniques along with the imminent research areas in artificial intelligence for controlling pandemics.
Corona
Authors: Sharma Mansha , Sharma Ajay Kumar
Published: August 2021

Coronavirus has come up as the worst nightmare in the form of a pandemic for progressive sapiens in terms of health, wealth, prosperity, and social wellbeing. To date, coronavirus has mutated to seven different shapes evolving into various variants. The main deliberation of catching the disease is carelessness and negligence of the citizens, and in developing countries like India, population and illiteracy makes it even more difficult to control the disease. However, immunity can be the superhero in fighting against the virus that invades the host. Although a strong immunity is important to fight the disease, the symptoms show at a later stage by the body of a human with a stronger immunity and cases are getting critical in this case. After a long struggle, scientists have come up with vaccines that are 90% efficient and show some side effects. The world is expected to function only if ‘herd immunity' is achieved, but it is expected that wearing masks would be the new normal.
Digital Transformation in the Energy Industry
Authors: Sola Emiliano , D'Angelo Viviana , Capo Francesca
Published: August 2021

In recent years, digital transformation has begun to significantly affect the business landscape, disrupting existing business models. In the midst of this revolution, oil and gas retail companies are experiencing a strong transformation of the whole industry, which is also driving the transformation of their processes, assets, and people. In this chapter, the authors explore how oil and gas retail companies are trying to redefine their business models by providing end-users with a wide range of smart and connected solutions. The main purpose of this work is to analyse, in the face of the digital transformation era, the potential that new technologies can unleash in mature and commoditized industries such as the one of oil and gas retail. In particular, the present work focuses on the digital transformation strategy of fuel retail companies based on the improvement of customer experience.
IOTs
Authors: Rao N. Raghavendra
Published: August 2021

Information technology has advanced by delivering an exponential increase in computing power. Telecommunication technology has likewise advanced communicating capabilities. Convergence of these two technologies has become possible due to the rapid advancements made in the respective technology. This convergence is termed as information and communication technology as a discipline. Many concepts are emerging in this discipline. These concepts enable business, government, and human beings to reach new realities in their required activities. Some of these concepts have created various opportunities for designing and manufacturing electronic devices. When these devices are connected to other devices and systems over the internet, this is now known as internet of things (IoT). This chapter gives a brief overview of the concepts such as cloud computing and ubiquitous and pervasive computing in the context of internet of things. Further, this chapter discusses five case illustrations with the relevance of internet of things.
Impact of Adhocracy Organizational Culture on Effective Knowledge Management
Authors: Kiziloglu Mehmet
Published: August 2021

All companies in today's world are in intense competition. In order to survive the competition and always be one step ahead, all industries are required to give considerable importance to creating adhocracy culture within the firm, according to which employees must be provided with freedom and support. The employees should be encouraged to share their ideas and point of views with others and to take risks because today's most valuable asset is knowledge. This can ultimately help in enhancing creativity and innovation within the firm. The use of supportive culture is helpful for ensuring effective knowledge management practices within the firm. The focus of this research study was on investigating the importance of adhocracy organizational culture in terms of ensuring effective knowledge management. Based on findings of this study, it was found that there is a significant positive impact of adhocracy organizational culture on effective knowledge management.
A Novel Technique on Autism Spectrum Disorders Using Classification Techniques
Authors: Bhola Jyoti , Dhiman Gaurav , Singhal Tarun , Sajja Guna Sekhar
Published: August 2021

Over the last few years, academic institutions have conducted a number of programmes to help school boards, colleges, and schools of autism spectrum educating pupils (ASD). Autism spectrum disorder (ASD) is a complicated neurological disorder which affects many skills over a lifetime. The main aim of the chapter is to examine the topic of autism and identify autism levels with furious logic classification algorithms using the artificial neural network. Data mining has generally been recognized as a method of decision making to promote higher use of resources for autism students.
Machine Learning Techniques for Analysing and Identifying Autism Spectrum Disorder
Authors: Bhola Jyoti , Jeet Rubal , Jawarneh Malik Mustafa Mohammad , Pattekari Shadab Adam
Published: August 2021

Autism spectrum disorder (ASD) is a neuro disorder in which a person's contact and connection with others has a lifetime impact. In all levels of development, autism can be diagnosed as a “behavioural condition,” since signs generally occur within the first two years of life. The ASD problem begins with puberty and goes on in adolescence and adulthood. In this chapter, an effort is being made to use the supporting vector machine (SVM) and the convolutionary neural network (CNN) for prediction and interpretation of children's ASD problems based on the increased use of machine learning methodology in the research dimension of medical diagnostics. On freely accessible autistic spectrum disorder screening dates in children's datasets, the suggested approaches are tested. Using different techniques of machine learning, the findings clearly conclude that CNN-based prediction models perform more precisely on the dataset for autistic spectrum disorders.
Administration of Civil Justice in India
Authors: Arora Tarun , Mehra Neelu
Published: August 2021

Since the Vedic period, India is known for its commitment to justice, democratic values, the rule of law, and the welfare of individuals. The thrust of the chapter is an examination of tools of civil justice in ancient as well as modern texts underlining the bond of ‘social contract'. The analysis aims to identify similarities and gaps in the traditional and contemporary aspects of civil justice in India. These findings would enable legal scholars and practitioners to draw from, and to connect, the history of accumulated legal guidance and reasoning to the modern mechanism of justice. The examination of those concepts in the context of contemporary relevance accompanied with the principles of interpretation can maximise the utility of these principles. The discussion may offer important clues for policymakers, community organisations, law-making agencies, and citizens to strengthen their faith in the judicial system, being a blend of aboriginal and modern.
Alternative Dispute Resolution in Ghana
Authors: Amoasi Christopher
Published: August 2021

Adjudication of issues in the Ghanaian jurisdiction can be traced back to the pre-colonial era where powers were vested in chiefs, elders, and representatives of all the major tribes. Chiefs and elders adjudicated on most issues with the family heads serving as lawyers. During the colonial era, judicial powers were vested in the Privy Council, which took away the powers of the chiefs and elders. At times parties to a dispute may want to resolve the dispute in a form other than the normal court system, hence the alternative dispute resolution (ADR). However, ADR lacks stare decisis since it set no precedent to guide similar disputes in the future. Also, there is no right of appeal when parties opt for ADR. The purpose of this chapter is to assess the use of ADR in Ghana, the challenges, and the way forward.
Managing Challenging Behaviours in Children With Autism Spectrum Disorder
Authors: Dumitru Cristina , Ciobanu Dana-Elena
Published: August 2021

Managing challenging behaviours is crucially important in order for a child to start learning, and this chapter provides teachers with certain tips and recommendations that are meant to improve the quality of life of autistic children, which implies, in particular, increasing their level of independence, the ability to establish social relationships, the opportunity to study and work, access to outdoor and leisure activities. The main aims of this chapter would be addressing the development of new positive behaviour skills which will facilitate social interaction, communication, and learning readiness and the reduction of undesirable forms of behaviour (aggression, self-aggression, hysterics, fears, unusual interests, stereotype behaviours), which are the main factors that hinder socialization and learning. This chapter will present some instruments to collect data about managing behaviours, interpret the data, and address the challenging behaviour in an appropriate manner.
Review on Contributing Factors to Anxiety in High-Functioning Autism
Authors: Syriopoulou-Delli Christine K. , Pasoula Eirini
Published: August 2021

Individuals with autism spectrum disorder are characterised by difficulties in social communication, by restricted, repetitive behaviour and interests. Autism is a highly heterogeneous disorder; high-functioning individuals with autism have average or higher intelligence and superficially normal language skills. The lack of intellectual disability does not mean that they can overcome inherent difficulties in social communication and interaction. They struggle to negotiate social interactions and manage daily tasks in a neurotypical world. They are at risk of experiencing mental health difficulties compared to general population. One of the most common mental health difficulties co-occurring with high-functioning autism is anxiety, which is associated with poor individual, family, and social outcomes. The chapter reviews studies on the contributing factors to anxiety in high-functioning autism. Psychological, cognitive, and social factors seem to be important, while there are indications for the existence of some neurobiological basis. It also considers ideas as to how to tackle anxiety.
Parents and Siblings of Children With Autism Spectrum Disorder
Authors: Syriopoulou-Delli Christine K. , Loi Katerina
Published: August 2021

The presence of a child with autism spectrum disorder (ASD) has impact on members of the family. This study explored social, behavioral, and emotional characteristics and perceptions of parents and typically developing (TD) siblings of children with ASD, sibling relationship, and family satisfaction of parents. Of 21 families who participated in study, mother, father, and one TD sibling of school age provided demographic information and completed a series of questionnaires. The majority of parents and TD children showed positive adjustment, moderate level of family satisfaction, and satisfying sibling relationships. Various difficulties were recorded by a small percentage of participants, including high and clinically significant parenting stress, mothers with severe degree of negative emotional status, and a few TD children with externalizing and internalizing problems. The study provided preliminary overview of Greek families of children with ASD, which indicates that the majority cope well with the situation, but some family members could benefit from identification of related problems and professional intervention.
Impact of Supervisor Feedback, Customer-Employee Exchange, and Creative Personal Identity on Innovative Behavior
Authors: Imran Muhammad , Akhtar Iqra
Published: August 2021

Employee innovative behaviour is crucial for any firm success in terms of generation, promotion, and realization of new ideas, which can increase the organisational performance to organizational positive performance. The main purpose of this study is to examine the relationship between supervisor feedback, customer employee exchange, creative personal identity, and innovative behaviour with the mediating role of interpersonal trust. The three hundred and seventy (370) responses have been collected from employees of Punjab emergency service (Rescue 1122) through questionnaires. The partial least square structural equation modeling (PLS-SEM) has been employed to draw the results. The final results have shown a positive and significant relationship between supervisor feedback, customer employee exchange, creative personal identity and innovative behaviour of employees, while interpersonal trust was found to play an intermediary role between customer employee exchange, creative personal identity, and innovative behaviour.
An Explanatory Study of User Satisfaction
Authors: Ibrahim Fahmi , Gulihana Nurhidayatul Aqilah , Susanto Heru
Published: August 2021

In achieving one of Brunei Vision 2035, which is to be among the top 10 in the world for quality of life, Ministry of Health (MOH) Brunei Darussalam has responded by implementing Brunei Healthcare Information and Management System (Bru-HIMS) that is equivalent to international best practices. Bru-HIMS has been implemented for about eight years since it first launched on 11 September 2012 where the outcome to user experience is unknown. Hence, this chapter investigates user satisfaction on Bru-HIMS specifically at RIPAS hospital and studies improvement towards providing quality healthcare in Brunei. DeLone and McLean Information System framework is applied to evaluate Bru-HIMS user satisfaction based on the six variables: information quality, system quality, service quality, intention to use and usage, perceived net benefits, and user satisfaction. Questionnaire survey was conducted to obtain primary data from Bru-HIMS. The findings demonstrate positive relationships between the six variables, which indicates Bru-HIMS has positively influenced Bru-HIMS users.
Agriculture 4.0 for a Sustainable Food System
Authors: Fernández-Villacañas Marín Manuel Antonio , Marcos Ignacio Fernández-Villacañas
Published: August 2021

This chapter aims to analyse the concept and implementation strategies of Agriculture 4.0 within the framework of the study of disruptive technologies and eco-innovation, which allows facing the needs derived from a sustainable food system. To do this, it strategically reflects on the design requirements of a holistic model for the transformation of agricultural holdings, aimed at the implementation of sustainable agrotechnology. The Third Green Revolution, its antecedents, orientations, and purposes, as well as the concept and functional aspects of sustainable food systems are analysed. Finally, a model of transformation of agricultural holdings towards the implementation of Sustainable Agriculture 4.0 is proposed, as well as a generic methodology applicable to specific projects located in specific areas, through formula for change and cost-benefit analysis.
Monitoring, Predicting, and Optimizing Energy Consumptions
Authors: Cardoso Pedro J. S. , Monteiro Jânio , Cabrita Cristiano , Semião Jorge , Cruz Dario Medina , Pinto Nelson , Ramos Célia M.Q. , Oliveira Luís M. R. , Rodrigues João M. F.
Published: August 2021

Energy consumption and, consequently, the associated costs (e.g., environmental and monetary) concern most individuals, companies, and institutions. Platforms for the monitoring, predicting, and optimizing energy consumption are an important asset that can contribute to the awareness about the ongoing usage levels, but also to an effective reduction of these levels. A solution is to leave the decisions to smart system, supported for instance in machine learning and optimization algorithms. This chapter involves those aspects and the related fields with emphasis in the prediction of energy consumption to optimize its usage policies.
An Integrated Entropy-TOPSIS Methodology for Evaluating Green Energy Sources
Authors: Bhowmik Chiranjib , Kaviani Mohamad Amin , Ray Amitava , Ocampo Lanndon
Published: August 2021

This research aims to select the optimum green energy sources for sustainable planning from a given set of alternatives. The study presents an integrated multi-criteria decision-making analysis—the entropy-technique for order of preference by similarity to ideal solution (TOPSIS)—to evaluate the energy sources: coal, oil, gas, carbon capture; and storage: nuclear fission/power, large hydro, small hydro, wind, solar photovoltaic, concentrating solar, geothermal, and biomass. Information related to energy parameters are always imprecise; thus, to address the impreciseness of eliciting judgments in the preferences of criteria, the entropy method is used. TOPSIS method is then utilized to select the optimum sources. Results show that solar-photovoltaic is the optimum green energy source having the highest score value, and annual generation is the most prioritized criterion. Sensitivity analysis also demonstrates the robustness of the selection methodology.
Robust Economic Dispatch of Microgrid With Highly Penetrated Renewables and Energy Storage System
Authors: Dey Bishwajit , Bhattacharyya Biplab , Sharma Sharmistha
Published: August 2021

Economic dispatch (ED) of a grid-connected and renewable integrated microgrid is considered in this article. Here, the renewable energy sources (RES) taken into consideration are wind farms. A parameter worst-case-transaction-cost which arises due to the stochastic availability and uncontrollable nature of wind farms is also emphasised and efforts have been taken to minimize it too. Hence, the article focuses on separately optimizing the generation costs and the worst-case transaction costs. It also optimises the net microgrid cost as a whole, which is the summation of generation costs and the worst-case transaction costs. Two different cases with highly varying transaction prices are studied. Various types of loads, ramp rates of generators, charging and discharging limits of the batteries are taken into consideration while minimizing the microgrid cost. Four meta-heuristic soft computing algorithms are applied for optimization and a comparative analysis among them is studied. Numerical results are tabulated to justify the effectiveness of the novel approach.
Promotional Policies and Legislative Support for Grid-Connected Renewable Energy Projects
Authors: Sen Vasundhara , Kulkarni Ashish
Published: August 2021

Renewable Energy Sources-Based Electricity (RES-E) plays a key role in sustainable development – of meeting current energy demands, without adding to global warming concerns. However, as of 2017, only 8.5% of the total electricity generation came from RES-E. To boost this contribution, countries rely on strong legislative and policy support/tools. This case focuses on studying the legislative or regulatory frameworks put in place by the top three developed countries, and compares it with three developing countries, each of which are forerunners in RES-E, as of 2017. The comparative study suggests that while no single policy can be credited with the success behind rising RES-E in these countries, two key incentives are most important – namely feed-in-tariffs and renewable purchase obligations. Feed-in-tariffs act as floor price guarantee to the generator and renewable purchase obligations assures the generator of quantum of sale of the RES-E generated. When combined, these two incentives remain the most trusted policy tools even today for countries starting their journey in increasing their RES-E footprints.
Design and Analysis of a Cost-Effective Standalone Solar
Authors: Iqbal Fahad , Rana Ankur Singh , Wani Shufali Ashraf
Published: August 2021

The foremost issues of the twenty-first century are the ever-increasing challenging demand of electrical energy and controlling the emission of greenhouse gases (GHG). Along with these issues and with limited energy resources, it is imperative to look for non-conventional methods of power generation like from renewable energy resources. Microgrid has emerged as a new field that can meet the energy demand with a special emphasis on good power quality, reliability, and security. A major concern with the use of renewable energy resources is their intermittent nature which makes their integration and operation a challengeable task. Energy storage devices like batteries can be used to overcome the problem of intermittent nature of renewable energy resources. This chapter focusses on different aspects of renewable energy resources in detail. It analyzes the effectiveness of the proposed topology of the microgrid for health clinic load profile with the help of PVSYST software.
Selection of an Information Source and Methodology for Calculating Solar Resources of the Kyrgyz Republic
Authors: Narynbaev Alisher F. , Maksatov Baatai M. , Vaskov Alexey Gennad'evich , Deryugina Galina V. , Pugachev Roman V.
Published: August 2021

Detailed data on incoming solar radiation are needed in the design of solar energy systems of any scale: from large PV plants to small off-grid systems. However, in most cases, obtaining data on measurements of solar radiation is connected with difficulties due to financial or technical restrictions. Often, ground-based measurements of solar radiation are either not carried out at all or only the value of the global horizontal intensity of solar radiation is measured. The aim of the present study is to review and to verify some existing empirical models of the global solar radiation and its components for the climatic conditions of Kyrgyzstan as well as to estimate the applicability of Meteonorm database model for the available solar radiation in the territory of Kyrgyzstan. The necessity to select the most suitable models of the solar radiation is called by the lack of similar studies on this direction for the conditions of the country.
Selection of Renewable Energy Sources for Sustainable Development and an Economic Model Proposal for Countries
Authors: Ulutaş Alptekin , Karaca Coşkun
Published: August 2021

Meeting the energy requirements with imported fuels leads to economic and political problems in the countries. Therefore, renewable energy investments continue to grow globally as a sustainable and increasingly economically viable alternative to conventional sources of energy. This study aims to reduce the share of imported fuels in Turkey's electricity generation and to estimate the employment gain to be provided by renewable energy investments to be established instead. Approximately 900,000 jobs are created during the production, construction, operational, and maintenance phases of additional 49,448 MW capacity renewable power plants to be installed. While analyzing, the decision on how much to invest in which renewable resource is determined with respect to multi-criteria decision making (MCDM) model.
Business Development in the Renewable Energy Industry
Authors: Tantau Adrian Dumitru , Frăţilă Laurenţiu Cătălin
Published: August 2021

The renewable energy industry represents a change in the energy field. This change is also reflected in the business, which registered a continuous growth in the last two decades. This chapter presents the business growth cycle in the renewable energy field from an entrepreneurship approach. The growth analysis enables the understanding of the main growth strategies, such as the concentration strategy or the diversification strategy which are developed by companies in the energy field. These strategies are analyzed based on different perspectives for a company: the internal or external one which includes the Merger and Acquisition principles or new types of cooperation and networks in the energy field. In practice, there are also situations when companies have to think on retrenchment and this is the reason that this chapter also presents main retrenchment strategies that allowed companies to focus on a new business. The main objective of this chapter is to understand the importance of growth for business development and the related business strategies with their specific characteristics in a life cycle perspective.
Corporate Social Responsibility, Distribution Efficiency, and Environmental Sustainability by the World's Largest Bakery Business Group
Authors: Jarque Eduardo
Published: August 2021

This chapter describes the innovations in green energy generation and electric vehicles development in order to fulfill distribution and production sustainability needs by Grupo Bimbo, the largest bakery products company in the world. Grupo Bimbo, originated in Mexico, has one of the most extensive distribution systems in the entire globe. Although it has presence in 32 countries in the Americas, Europe, Asia, and Africa, most of its revenues come from sales in Mexico and the United States. This chapter studies Grupo Bimbo's corporate social responsibility (CSR) initiatives and strategies to increase its distribution efficiency in Mexico, while contributing to alleviate global warming and carbon-reduction constraints by producing its own electric vehicles and power them with in-house wind-generated energy. As a result of these initiatives, carbon footprint reductions of 104,400 tons of CO2e (equivalent to reducing the daily usage of 25,000 cars for one year) were achieved in 2016 alone.
Impact of Dust for Solar PV in Indian Scenario
Authors: Chawla Rashmi , Singhal Poonam , Garg Amit K.
Published: August 2021

The facile conversion of sunlight into electricity of a solar-energy system is predominantly associated with the sun's irradiance as well as myriad environmental/climatic factors and photoactive material employed. However, the impact of other external factors associated with solar-rich geographical location (India) can be more influential on system performance. Among these, dust is oft-times an overlooked or understated issue that can be a major stumbling block in a solar panel's output performance. This chapter provides an insight of dust's impact on photovoltaic modules and evaluates mitigation of power loss and other performance parameters due to dust accumulation. In addition, this chapter analyzes dust's impact on the real-time data collected for 46 inverters with total 114819.30 kWh productions in a month with an average of 4416.13 kWh/day. The research further reviews key contributions to the understanding and performance effects of dust on solar module and presents an inclusive literature survey/assessment.
Creating a Synergy
Authors: Solovyev Dmitry Alexandrovich , Morgunova Maria Olegovna , Solovyev Alexander Alekseyevich
Published: August 2021

The chapter focuses on different aspects and challenges of power supply for remote energy consumers in the Russian Arctic. The authors discuss the potential use of renewable energy, some specified technological features and risks related to the broader deployment of decentralized renewable energy systems in the Arctic region. Even though there is limited experience of renewable energy systems installation in the Russian Arctic and greater technological challenges, the authors see it as a potential opportunity to contribute to innovative and sustainable development of the region. The authors underline the potential synergistic effect of broader deployment of renewable energy systems in the Russian Arctic. The key argument is that a sustainable and efficient energy system will open new development opportunities and stimulate future socioeconomic development of the region through the use of local and renewable energy resources and the implementation of new power generation modes and technologies.
Open Source Software Development Challenges
Authors: Seker Abdulkadir , Diri Banu , Arslan Halil , Amasyalı Mehmet Fatih
Published: August 2021

GitHub is the most common code hosting and repository service for open-source software (OSS) projects. Thanks to the great variety of features, researchers benefit from GitHub to solve a wide range of OSS development challenges. In this context, the authors thought that was important to conduct a literature review on studies that used GitHub data. To reach these studies, they conducted this literature review based on a GitHub dataset source study instead of a keyword-based search in digital libraries. Since GHTorrent is the most widely known GitHub dataset according to the literature, they considered the studies that cite this dataset for the systematic literature review. In this study, they reviewed the selected 172 studies according to some criteria that used the dataset as a data source. They classified them within the scope of OSS development challenges thanks to the information they extract from the metadata of studies. They put forward some issues about the dataset and they offered the focused and attention-grabbing fields and open challenges that we encourage the researchers to study on them.
The Impact of Project Initiators on Open Source Software Project Success
Authors: Wang Ling , Wang Jinxiao
Published: August 2021

This paper focuses on studying the role of open source software project initiator in affecting the OSS project success from the perspective of individual and collective behaviors. The authors collected the data from an emerging OSS hosting platform Gitee in China. This research indicates that the success mode for open source software projects in China relies a lot on the project initiators. Project initiators not only contribute codes to aid the project directly, but also use their social capital to facilitate the project success. But no full play has been given to social network's effect on mass production and collaborative innovation. The authors suggest collaborative innovation which could lead to coherence of global collective wisdom, reduced development costs, and expanded source of innovation should be the further direction for the OSS project in emerging platforms.
Optimization Scenarios for Open Source Software Used in E-Learning Activities
Authors: Köse Utku
Published: August 2021

Using open software in e-learning application is one of the most popular ways of improving effectiveness of e-learning-based processes without thinking about additional costs and even focusing on modifying the software according to needs. Because of that, it is important to have an idea about what is needed while using an e-learning-oriented open software system and how to deal with its source codes. At this point, it is a good option to add some additional features and functions to make the open source software more intelligent and practical to make both teaching-learning experiences during e-learning processes. In this context, the objective of this chapter is to discuss some possible applications of artificial intelligence to include optimization processes within open source software systems used in e-learning activities. In detail, the chapter focuses more on using swarm intelligence and machine learning techniques for this aim and expresses some theoretical views for improving the effectiveness of such software for a better e-learning experience.
Logging Analysis and Prediction in Open Source Java Project
Authors: Lal Sangeeta , Sardana Neetu , Sureka Ashish
Published: August 2021

Log statements present in source code provide important information to the software developers because they are useful in various software development activities such as debugging, anomaly detection, and remote issue resolution. Most of the previous studies on logging analysis and prediction provide insights and results after analyzing only a few code constructs. In this chapter, the authors perform an in-depth, focused, and large-scale analysis of logging code constructs at two levels: the file level and catch-blocks level. They answer several research questions related to statistical and content analysis. Statistical and content analysis reveals the presence of differentiating properties among logged and nonlogged code constructs. Based on these findings, the authors propose a machine-learning-based model for catch-blocks logging prediction. The machine-learning-based model is found to be effective in catch-blocks logging prediction.
What Is Open Source Software (OSS) and What Is Big Data?
Authors: Segall Richard S.
Published: August 2021

This chapter discusses what Open Source Software is and its relationship to Big Data and how it differs from other types of software and its software development cycle. Open source software (OSS) is a type of computer software in which source code is released under a license in which the copyright holder grants users the rights to study, change, and distribute the software to anyone and for any purpose. Big Data are data sets that are so voluminous and complex that traditional data processing application software are inadequate to deal with them. Big data can be discrete or a continuous stream data and is accessible using many types of computing devices ranging from supercomputers and personal workstations to mobile devices and tablets. It is discussed how fog computing can be performed with cloud computing for visualization of Big Data. This chapter also presents a summary of additional web-based Big Data visualization software.
Role of Open Source Software in Big Data Storage
Authors: Ahuja Rupali , Malik Jigyasa , Tyagi Ronak , Brinda R.
Published: August 2021

Today, the world is revolving around Big Data. Each organization is trying hard to explore ways for deriving value out of huge pile of data we are generating each moment. Open Source Software are widely being adopted by most academicians, researchers and industrialists to handle various Big Data needs because of their easy availability, flexibility, affordability and interoperability. As a result, several open source Big Data tools have been developed. This chapter discusses the role of Open Source Software in Big Data Storage and how various organizations have benefitted from its use. It provides an overview of popular Open Source Big Data Storage technologies existing today. Distributed File Systems and NoSQL databases meant for storing Big Data have been discussed with their features, applications and comparison.