bluuebunny/crossref_metadata_2025 huggingface dataset:
Adapting to the Needs of Adult Language Learners
Authors: Calo Stephanie M.
Published: May 2019

Many language teacher training programs prepare teacher candidates to teach in a K-12 setting. However, some of these teacher candidates may one day find themselves in adult education whether as part-time or full-time employment. This chapter will focus on teaching English to Speakers of Other Languages (ESOL), but the majority of what is discussed in this chapter can easily be applied to teaching programs targeted towards other second languages. The main purpose of this chapter is to note some of the flaws in many ESOL adult textbooks and how many teaching programs can easily modify their curriculum to prepare their candidates to overcome these flawed materials by providing more age appropriate and relevant lessons to adult learners. By incorporating minor changes to a current program, teacher candidates will become well-rounded educators who are well-equipped to serve learners of all ages.
Role of Cloud Computing in On-Line Social Networking and In-Depth Analysis of Cloud-Sim Simulator
Authors: Annamalai Suresh , Udendhran R.
Published: May 2019

In this chapter, the authors introduced cloudsim simulator and cloud computing role in online social networking. The communication incurred by other activities such as management jobs is negligible. Social relationships can be established for numerous reasons. For example, family members, colleagues, or classmates often have strong social interactions resulting in large communication load. Cloud computing as well as social network-based applications will become dominant in many aspects of life in the next few decades. The performance of such large-scale systems is characterized by system capacity in terms of number of users/clients, flexibility, scalability, and effective cost of operation, etc. Popular social networks have hundreds of millions of users and continue to grow.
An Intelligent Water Grid Control Using Cloud Computing
Authors: Annamalai Suresh , Jotimani S.
Published: May 2019

Most of the people in India depend on the agriculture for their survival. Intelligent water grid control (IWGC) system is a trusted solution for resolving recent significant global water problems. The system will handle the dried geographical area in a smart way with internet of things and edge computing. Since the villages that are far from the rivers are not getting enough water, the smaller water saving areas like pool, lake, ponds can be filled with this smart water management system. In this chapter, the authors discussed the water problems faced by the farmers, dam authority, and by the government.
An Intelligent Grid Network Based on Cloud Computing Infrastructures
Authors: Annamalai Suresh , Udendhran R.  , Vimal S.
Published: May 2019

This chapter covers important topics in development of efficient energy girds. Inefficient power generation, unbalanced consumption patterns that lead to underutilization of expensive infrastructure on the one hand, and severe overload on the other, as well as urgent issues of national and global concern such as power system security and climate change are all driving this evolution. As the smart grid concept matures, we'll see dramatic growth in green power production: small production devices such as wind turbines and solar panels or solar farms, which have fluctuating capacity outside of the control of grid operators. Small companies that specialize in producing power under just certain conditions will boom in forthcoming years. Energy is stored in the storage during low-cost periods, and the stored energy is used during high-cost periods to avoid the expensive draw from the grid. The authors evaluate the impact of large-scale energy storage adoption on grid electricity demand.
An Efficient Framework Based on Cloud Computing Integrated With Internet of Things Technology for Intelligent Waste Management
Authors: Annamalai Suresh , Udendhran R.
Published: May 2019

This chapter presents techniques based on internet of things and cloud computing-driven waste management. The data of the World Bank says that the municipal solid waste generation by the year of 2025 will be 1.42 kg/capital per day in the urban residential areas, with the increase in cost of about $375.5 billion that has a major rise from an annual of $205.4 billion in the year 2012. Due to the high population with the extreme consumption of goods and services, this leads to a strong association among the income levels, quality of life, and waste generation. In the present situation, more than 50% of the total population is living in the cities. In the governance aspect, it is said that the cost of waste management will be highly expensive. This chapter deals with the effective waste management with the implementation of internet of things (IoT)-based cloud technology with the machine learning algorithm that could be highly intellectual in the management of waste.
Resource Management Techniques to Manage the Load Balancing in Cloud Computing
Authors: Tiwari Pradeep Kumar , Joshi Sandeep
Published: May 2019

Load balancing is one of the vital issues in cloud computing that needs to be achieved using proper techniques as it is directly related to higher resource utilization ratio and user satisfaction. By evenly distributing the dynamic local workload across all the nodes in the whole cloud, load balancing makes sure that no single node is overwhelmed, and some other nodes are kept idle. Hence, the technique helps to improve the overall performance resource utility of the system which will lead to high user satisfaction and resource utilization ratio. It also ensures the fair and effective distribution of each and every computing resource in the distributed system. Furthermore, the various load balancing techniques prevent the possible bottlenecks of the system created by the load imbalance. Maximization of the throughput, minimization of the response time, and avoidance of the overload are the other major advantages of the load balancing. Above all, by keeping resource consumption at the minimum, the load balancing techniques help to reduce costs.
Load Balancing and Prudential Hypervisor in Cloud Computing
Authors: Priyatharsini G. Soniya , Malarvizhi N.
Published: May 2019

Cloud computing is a service model in internet that provides virtualized resources to its clients. These types of servicing give a lot of benefits to the cloud users where they can pay as per their use. Even though they have benefits, they also face some problems like receiving computing resources, which is guaranteed on time. This time delay may affect the service time and the makespan. Thus, to reduce such problems, it is necessary to schedule the resources and then allocate it to using an optimized hypervisor. Here, the proposed method is used to do the above-mentioned problem. First, the available resources are clustered with respect to their characteristics. Then the resources are scheduled using this method. Finally, with respect to that of the clients request the resources, the resources are allocated. Here, the cost is the fitness of the allocation.
A Study on Capabilities and Challenges of Fog Computing
Authors: Priyadarshini R. , Malarvizhi N. , Neeba E. A.
Published: May 2019

Fog computing is a new paradigm believed to be an extension of cloud computing and services to the sting of the network. Similarly, like Cloud, Fog provides computing, data, storage, and various application services to the connected end-users. Fog computing uses one or a lot of combined end users or nearby end users edge devices to perform the configuration, communication, storage, control activity, and management functions over the infrastructure supported. This new paradigm solves the latency and information measure limitation issues encountered from the cloud computing. Primarily, the architecture of the fog computing is discussed and analyzed during this work and then indicates the connected potential security and trust problems. Then, however such problems are tackled within the existing literature is systematically reportable. Finally, the open challenges, analysis, trends, and future topics of security and trust in fog computing are mentioned.
Leveraging the Internet of Things (IoT) Paradigm Towards Smarter Applications
Authors: Neeba E. A. , Aswini J. , Priyadarshini R.
Published: May 2019

Intelligent processing with smart devices and informative communications in everyday tasks brings an effective platform for the internet of things (IOT). Internet of things is seeking its own way to be the universal solution for all the real-life scenarios. Even though many theoretical studies pave the basic requirement for the internet of things, still the evidence-based learning (EBL) is lacking to deal with the application of the internet of things. As a contribution of this chapter, the basic requirements to study about internet of things with its deployment architecture for mostly enhanced applications are analyzed. This shows researchers how to initiate their research focus with the utilization of internet of things.
Big Data Analytics in Cloud Computing
Authors: Nagarajan Rajganesh , Thirunavukarasu Ramkumar
Published: May 2019

In this chapter, the authors consider different categories of data, which are processed by the big data analytics tools. The challenges with respect to the big data processing are identified and a solution with the help of cloud computing is highlighted. Since the emergence of cloud computing is highly advocated because of its pay-per-use concept, the data processing tools can be effectively deployed within cloud computing and certainly reduce the investment cost. In addition, this chapter talks about the big data platforms, tools, and applications with data visualization concept. Finally, the applications of data analytics are discussed for future research.
Financial Considerations in Green Retrofitting for Optimal Energy Performance
Authors: Curmei-Semenescu Andreea , Curmei Cătălin Valeriu
Published: May 2019

This chapter focuses on how to correctly assess the financial feasibility of a retrofitting project using different indicators and methods. It also emphasizes the advantages and limits of each method offering the reader the ability to choose the most appropriate method(s) for each retrofitting project. In its last part, the chapter explains how the financial feasibility can be integrated in a broader set of criteria considered for retrofitting the capital budgeting decision-making process. The chapter also includes examples of computing the financial indicators for green retrofitting evaluation. It thus provides the readers with the opportunity to understand how the capital budgeting evaluation methods can be used in practice and correctly interpret their results.
Comparative Analysis Regarding the Online Interest of Consumers Towards Green Retrofitting
Authors: Pelau Corina , Pop Mihai-Ionut , Pop Andra
Published: May 2019

Green retrofitting and housing energy efficiency are some of the most debated topics nowadays. They contribute to lower costs for the involved households and more efficient sources of energies, which lead to a cleaner environment. The number of methods and devices for increasing the energy efficiency of housing ranges from very simple methods to complex ones. In spite of the fact that in the research there is high interest for the development of energy-efficient housing systems, it is also important to inform the consumer about the existence of such devices and to convince them to use these types of systems more frequently. The objective of the chapter is to give an overview of the popularity and the interest of the consumers towards different forms of housing energy efficiency systems and green retrofitting methods.
Retrofitting for Energy Management
Authors: Krutwig Michael Christian
Published: May 2019

According to ISO 50001, energy management systems are increasingly being implemented in companies, with the continuous measurement of energy consumption playing an important role. At the same time, energy meters are increasingly becoming cyber-physical systems (CPS) in the IoT age. LPWAN radio networks and IoT clouds open up new possibilities for retrofitting meters and industrial components. By using these technologies, the measurement infrastructure of an energy monitoring system can be cost-effectively expanded. This section presents the technologies relevant for energy management and shows their application using selected use cases for LoRaWAN, OPC UA, and the combination of optical character recognition (OCR) and IoT Cloud.
Work-Life Balance and Its Impact on Upward Career Mobility of Women Employees in the Banking Sector
Authors: Dassanayake Ayesha Madhumali , Fasana Sanoon Fathima
Published: May 2019

The proportion of women in decision making is very low, and only a small number of women are represented in the managerial positions in Sri Lanka. The emergence and determined survival of women in organizations depends on their own willingness to confront and fight barriers. A major barrier in work is work-life balance as family and society demands more from a woman than a man. The objective of this chapter is to investigate the impact work-life conflicts on upward career mobility of women employees in the banking sector. A sample of 120 women employees was used for gathering data. Primary data was collected through a self-administered questionnaire. The collected data was analyzed using correlation analysis, regression analysis, and descriptive analysis methods. There is a positive relationship between work-life balance and upward career mobility, and all the dimensions of work-life conflicts, namely, time balance, satisfaction balance, and involvement balance, were positively correlated with upward career mobility. The study provides recommendations and future directions for further studies.
Introducing a Conceptual Framework for Spatial Decision SIM
Authors: Toimah Ahmad M. A. , Afifi Samy M. Z.
Published: May 2019

Planning is a time-sensitive process with spatial characteristics as its core. It is effective to formulate spatially-related decisions on an informative background to maximize benefits and minimize risks. Not only decision makers who affect the space, but also users and owners interact with it, affect the related decisions. Thus, it is healthful to widen participation. This chapter introduces a conceptual framework for the Spatial Decision Simulator “SD-SIM.” This work aims to reach a platform that supports spatial decisions made by various stakeholders to provide a capability for integrated modeling of socio-economic, man-made, and natural environmental impacts. It contains four components as a logical target for expressing the evolution of spatial issues and reflecting them into a simulator. These four components are Districts Sub-System, Property Price and Living Cost Simulator, Interventions Sub-System, and Development Scenarios Sub-System. The SD-SIM depends on free-access data sources. Through its sub-systems, the platform integrates different analytical methods and tools.
A Latter-Day Sodom and Babylon
Authors: Endong Floribert Patrick C.
Published: May 2019

This chapter examines the manner in which Nigerian bloggers and web journalists interpreted, framed and represented Obama's gay rights diplomacy in Nigeria. The chapter specifically explores the extent to which these web journalists' interpretations of the American pro-gay movement generated new religion-inspired representations of the U.S. government and Americans on the social networks. The study is based on a quantitative and qualitative content analysis of over 162 online articles generated by Nigerian citizen journalists in reaction to Obama's gay rights advocacy in Nigeria and Africa. It answers the following research questions: how did Nigerian web/citizen journalists frame Obama's pro-gay move? What was their tone? How did they represent America and its people in their articles or posts? And how did religion and culture influence the latter's representations of America and Americans?
The United States in Cuban Media
Authors: Caro Eduar Barbosa , Pérez Camila Andrea Granados , Esguerra María Emma Jiménez
Published: May 2019

This chapter sets out to examine Granma newspaper's representation of the U.S. in its news contents published from March 2010 to December 2018. Based on a content analysis of 989 headlines collected from the tabloid's Internet archives, the chapter answers the following research questions (1) which frames are dominantly used in news headlines related to the United States, (2) how these frames vary with time, and (3) which concepts or terms appear most frequently in the corpus of headlines. The results of the study reveal that Granma newspaper exhibits various forms of anti-Americanism in its issues. It constantly portrays the U.S. as an interventionist/imperialist power that should be blamed for the economic, educational, and housing difficulties in Cuba. The newspaper tends to constantly highlight serious inconsistency between some positive Cuban government declarations about Cuba's relations with the U.S. It equally mostly uses the conflict frame in its coverage of U.S. news events. The chapter thus argues that U.S. news in Granma's columns is constantly slanted according to some psychological biases, two of which include the us vs. them and the capitalists vs. communists. Furthermore, the newspaper constantly uses voices from experts, organizations, or authorities to suggest that lifting the blockade is a matter of utmost urgency that depends entirely on the U.S. Government's decisions.
An “Infantilization” of Our Nation
Authors: Essoh Eugenie Grace
Published: May 2019

This chapter examines the cognitive and social functions played by metaphors and allusions in Cameroonian media discourse on U.S. diplomacy in Cameroon. The chapter specifically focuses on how such metaphors and allusions were used in newspaper articles devoted to a U.S.-Cameroon diplomatic crisis triggered in mid May 2018 by U.S. Ambassador Henry Barlerin's advice to President Paul Biya (in power since 1982) to relinquish power and think of his legacy. The analysis reveals that the crisis was metaphorically constructed in the media as War, Neocolonialism, Slavery, Animals, Intrusion and “Infantilization” (of the Cameroonian nation) mostly in a bid to negatively represent U.S. diplomacy in Cameroon in particular, and the U.S. as a whole. These metaphors and allusions functioned more as conceptual tools simplifying or hiding specific aspects of reality and foregrounding controversial facets of U.S. diplomacy in Cameroon. They thus aimed at appealing to Cameroonian audiences' emotions and creating feelings of indignation vis-à-vis Mr. Barlerin's pronouncement.
Depicting Political Dynamics of Migrant “Blackness” in the Era of Trumpism
Authors: Campbell Danella May
Published: May 2019

This chapter investigates representations of blackness in the social and political context of the migrant and refugee “crisis” in America. A content analysis of mainstream online news articles examines British reporting on the separation of migrant children from families in the US. It includes a critical analysis focusing on framing theory to deconstruct political framing of migrants in British news reporting. It considers the implications of “otherization” on political resolutions for race-based demographics, on the basis of social class. This chapter demonstrates the media's ability to apply a process of otherization to itself to support its institutionalized state and demonstrates otherization is a cyclic process of interchangeable identities, ideologies and intersectional contexts projected through a manufactured mediated prism and lens.
Exploring U.S. Citizens' Perceptions of Foreign Media's Representations of America
Authors: Endong Floribert Patrick C.
Published: May 2019

Given their global impact, America's policies have been fueling socio-political and media discourse in countries across the globe. One hardly finds a country where news events involving the U.S. do not attract media attention or represent food for political thought. Media coverage of such events is always a propitious forum to (mis)represent the U.S. In this chapter, a critical review of literature is used to show how foreign media's representations of the U.S. have mainly varied according to three things: periods in history, U.S. presidents, and the U.S.'s ideological and socio-cultural affinities with foreign countries. The chapter equally examines American audiences' perceptions of foreign media's representations of the U.S. It argues that defining such popular perceptions is really difficult due to conflicting theories and the dearth of empirical research on the topic. The available research works however suggests that such perceptions somehow justify myths purporting that American citizens mostly tend not to be open minded towards sources that negatively portray Americans and the U.S.
Task Assignment and Personality
Authors: Gilal Abdul Rehman , Tunio Muhammad Zahid , Waqas Ahmad , Almomani Malek Ahmad , Khan Sajid , Gilal Ruqaya
Published: May 2019

An open call format of crowdsourcing software development (CSD) is harnessing potential, diverse, and unlimited people. But, several thousand solutions are being submitted at platform against each call. To select and match the submitted task with the appropriate worker and vice versa is still a complicated problem. Focusing the issue, this study proposes a task assignment algorithm (TAA) that will behave as an intermediate facilitator (at platform) between task (from requester) and solution (from worker). The algorithm will divide the tasks' list based on the developer's personality. In this way, we can save the time of both developers and platform by reducing the searching time.
Dimensions of Robust Security Testing in Global Software Engineering
Authors: Akber Ali , Rizvi Syed Sajjad Hussain , Khan Muhammad Waqar , Uddin Vali , Hashmani Manzoor Ahmed , Ahmad Jawwad
Published: May 2019

Over the last few decades, software security has become significant in parallel to general software testing. Previously, the scope of software security was relatively limited as compared to the software functionality. But now, in global software engineering, the scope and budget of software security are far more than its basic functionality. This has created a pressing need to devise the separate set of working boundaries between software quality testing, and software security testing in global software engineering. In the past literature, a massive number of software security testing methods has been devised. In this paper, a comprehensive literature review is presented on the recent global software security testing methods. In addition, the strength and limitation of each framework are discussed and analyzed. Finally, this work submits the open areas in the domain of global software security testing methods as one of the deliverables of this research work.
Software Cost Estimation and Capability Maturity Model in Context of Global Software Engineering
Authors: Latif Ayub Muhammad , Khan Khalid Muhammad , Duc Anh Nguyen
Published: May 2019

Software cost estimation is the process of forecasting the effort needed to develop the software system. Global software engineering (GSE) highlights that software development knows no boundaries and majority of the software products and services are developed today by globally-distributed teams, projects, and companies. The problem of cost estimation gets more complex if the discussion is carried out in the context of GSE, which has its own issues. Temporal, cultural, and geographical distance creates communication and software process implementation issues. Traditional software process models such as capability maturity model (CMM) lacks the dynamism to accommodate the recent trends in GSE. The chapter introduces GSE and discusses various cost estimation techniques and different levels of CMM. A couple of GSE-based case studies having CMM-level projects from multiple organizations are studied to analyze the impacts of highly mature processes on effort, quality, and cycle time.
The Effect of Team Work Quality on Team Performance in Global Software Engineering
Authors: Omar Mazni , Rejab Mawarny Md , Ahmad Mazida
Published: May 2019

Global software engineering (SE) has increased in popularity and is now commonplace in most software organizations. This is due to the fact that business and technology have evolved, which has had an impact on the borderless world. As a consequence, software teams are often geographically dispersed, though they all have the same goal—to produce high-quality software. In order to achieve that goal, quality teamwork is important to build a high-performance team. This study aims to get an in-depth understanding of what quality teamwork is, as well as investigate how communication and socialization can have an impact on team performance. This study took a qualitative approach to the data collection process by carrying out interviews with three experts of agile distributed teams. The results of this study demonstrate that active communication stimulates socialization, and thus increases and maintains morale and motivation among team members. Future studies could focus on the impact of other quality teamwork, such as the influence of trust on team performance among global SE teams.
An Analytical Review on Fundamental Narrative Components and Their Reflections in Advertising
Authors: Yilmaz Recep
Published: May 2019

The aim of this chapter is to describe narrative components such as narration, focalization, narrative situations, narrative time, tenses, moods, proposition, fictional space, chronotopes, characters, and discourse—and their reflection in advertising—to frame an analytical plane on how they can be used in advertising researches. In this context, the fundamental concepts of narratology are defined in separate headings and related concepts are shown. In addition, how those concepts are reflected in ads is shown and the study tries to explain what points the researchers can focus on. In the conclusion of the study, some points about the future of advertising and narrative in the digital age are mentioned.
The Concept of Metalepsis and Classifications of Metaleptic Uses in TV Commercials
Authors: Dervişcemaloğlu Bahar , Yilmaz Recep
Published: May 2019

Metalepsis is a term originated in ancient legal discourse and integrated into narrative theory by Gérard Genette to describe crossovers between narrative levels. Since Genette's definition, various typologies of metalepsis have been devised by narratologists and literary scholars. As a narrative tool which challenges the hierarchical organization and violates the boundaries between levels, metalepsis has different effects and functions depending on the contexts in which it occurs. The aim of the study is to determine the typology of the metaleptic uses in TV commercials. Metalepsis is consciously produced in the advertisement and gives it richness in terms of creativity; and the emergence as follows; interaction with voice over and character, the intervention of the voice over to the plot, the intervention of the character to the screen, the intervention of characters in different places, interaction with character and audience, and meta-fiction.
The Social Construction of the Reality via Narrative Advertising
Authors: Köroğlu Hanife Nur
Published: May 2019

When we evaluate the social construction of reality in advertising through narrative advertising in general, in narrative advertising; We can see the theory of social construction of reality by Berger and Luckmann, that multiple realities can be produced through narrative advertising, and the objective reality produced by legitimacy is that the advertiser and the audience (structure and actor) builds the reality of mutuality. We can say that the reality externalizes and objectifies the reality, the masses internalize the reality produced and participates in the process of socialization with this reality, the interaction and interaction of individuals in the production of reality are effective. However, we can say that the narrative, which is a feature of narrative advertising, and the empathy possible through narrative advertising are very important in reflecting the produced reality to the audience and in the participation of the audience in the process of social construction of reality.
A Brief History of Rhetoric in Narrative Advertising
Authors: Çakır Nilay Tan
Published: May 2019

The term “rhetoric” is derived from the Greek word rhetor. In its original meaning, the term is known to be used for describing an “orator,” a term which refers to a person or a politician giving a speech in a public space or defending himself/herself in the court in Antique Age because in Greek city-states, social sphere was the place where spoken language and face-to-face communication prevailed in antique age conditions. Today, on the other hand, the population to be addressed has enlarged, and new platforms which can influence a number of people at the same time have emerged. Advertising is one of those platforms in which rhetoric is most frequently used because “persuading” the consumer is one of the most significant elements in advertising content. Besides, advertising is a persuasive narrative form and has strong influence in terms of rhetorical figures. In this chapter, a brief history of rhetoric is presented, and then a relationship between rhetoric and advertising narrative is established.
Narrative Adverting and Multi-Platform Storytelling
Authors: Yang Kenneth C. C. , Kang Yowei
Published: May 2019

Narrative advertising has emerged as a popular advertising practice to communicate an authentic and engaging brand story. New media platforms such as YouTube and video advertising have allowed advertisers and marketers to tell longer brand stories. Scholars have attempted to explain the effectiveness of narrative advertising and storytelling execution through narrative transportation or self-referencing perspective. This chapter employs a combination of critical literature review and a case study approach. This book chapter provides an assessment of current practices and theoretical explorations in narrative advertising. The authors conclude this chapter by providing two best practices in narrative advertising to explain this popular advertising practice and explore its implications for the advertising and marketing communications industry.
Discussing Facebook Algorithm and Ads in the Context of Political Manipulation and Negative Campaign
Authors: Cecen Ahmet Faruk
Published: May 2019

Social media tools have not only altered the daily habits of ordinary people but also revolutionized how to reach audiences, compared to old techniques empowered by conventional media. Facebook is an interactive and decentered platform seen capable of altering the definition of media by its features, such as empowering ordinary people to reach their own audiences and to create pages or groups to serve either their commercial purposes or political aims to gather people around. Facebook is also changing the way the advertisement is perceived together with its competitor Google by providing the advertisers with the ability to have a tailored audience. In this chapter, the aim is to analyze the link between Facebook architecture (algorithm and ads) and negative campaigns. It is revealed that not only users' or page owners' motivation, but also Facebook's architecture, can lead the advertisers to run a negative campaign considering the fact that it has clear advantages compared to a positive campaign.
A Neuromarketing Based Approach on the Usage of Narratives in the Advertising
Authors: Atlı Dinçer , Kose Seyma Betul , Sezen Ayşe Naz Hazal
Published: May 2019

Nowadays, for companies to be successful, it is crucial that they understand consumers' perceptions of their products, services, and brands. In this direction, current marketing techniques so far engaged for market research purposes which are mainly based on asking questions attest to be a reliable tool for obtaining actual data, but are definitely of much less use in determining the personal insights, thoughts, and feelings of consumers). Today, an emerging interest within scientific marketing researches is the movement away from consumer research toward the use of direct neuroscientific approaches called neuromarketing. Neuromarketing is the application of neuroscience measurement methods for understanding how consumers react, both unconsciously and consciously, to marketing.
Narrative Practices in Central Bank Communication
Authors: Karas Zeynep
Published: May 2019

A fundamental and effective way of human communication is narratives. It is believed that narratives help central banks communicate with their stakeholders easily. Central banks have started to make use of narratives in their communications for accountability concerns and policy decision announcements. Central banks should make use of narratives to meet the public's and the markets' expectations. To improve the quality and effectiveness of central banks' communications, a focused and coherent narrative would be an important asset to help make the ambiguous and technical nature of macroprudential policy more precise and meaningful. This paper aims to show that to what extent narratives have been being used in communication activities by central banks. In this scope, a literature review will be made to identify narrative uses by central banks and a connection will be tried to be established between narratives and central bank communication to show how significant roles narratives can play in central bank communication.
Optimization of Production Equipment Layout Based on Fuzzy Decision and Evolutionary Algorithm
Authors: Chen Wenfang
Published: May 2019

A method of optimizing equipment layout is proposed in production equipment layout of a complex manufacturing system, using fuzzy decisions combined with evolutionary algorithms. First, the optimization model is improved, the total cost is minimized, while the requirements of adjacent equipment and the space utilization are maximized; the material handling cost, the resetting cost, the loss of production costs are considered in the total cost objective. Second, this method takes into account the ambiguity of the satisfaction and priority of users such as cost, utilization and proximity requirements, based on the fuzzy decision theory, the multi-objective optimization model is fuzzified, and the fuzzy fitness function is designed to evaluate the pareto solution set according to the user's priority relation. Based on the characteristics of the solution model, the chromosomal coding method of multi-objective evolutionary algorithms and the genetic operation mode are improved, and the practicability and efficiency of the model is improved. Finally, the effectiveness of the method is proved by the optimization of the practical case.
Product Quality Assessment Based on Online Reviews
Authors: Li Chao , Xiang Jun , Chen Shiqiang
Published: May 2019

Reviews can reflect the degree of consumers' satisfaction and views on product quality, and consumers tend to read product reviews and then get helpful information about product quality before placing an order in e-commerce platforms. However, the existing research mainly focus on the assessment of review quality, fake review detection, opinion mining, and there is little research to assess product quality from the perspectives of product features based on reviews objectively and quantifialy. Therefore, the authors propose a method to assess product quality based on reviews in a granularity of product feature. The authors define the related quality dimensions and develop the corresponding assessment models, assess the review quality crawled from an e-commerce platform, then extract product features and opinion words from the quality reviews, and finally assess product quality on the extracted and consumer-concerned features. Experiment results demonstrate the methodology can achieve the assessment of product quality on any feature objectively and quantificationally.
Modelling Urban Environments to Promote Ecosystem Services and Biodiversity
Authors: Kaczorowska Anna , Pont Meta Berghauser
Published: May 2019

Urbanization effects on vegetation and the alteration in land use is likely to be the major driver of fragmentation and the loss of ecosystem services (ESS) and biodiversity. Understanding varying levels of biodiversity within cities is pivotal to protect ESS. However, due to the high complexity of urban systems, ecological connectivity assessment in urban planning remains challenging. This article evaluates policy documents and tools for ESS assessment in Stockholm, Sweden. Stockholm is an interesting city for studying ESS planning and management since Sweden has a long tradition of formal policy for biodiversity management. An overview is presented of tools and approaches to measure ESS at different scale levels used in the urban planning process in Stockholm. Their application illustrates the complementary nature of these tools, but also the need to integrate them in a platform based on a GIS (Geographic Information System) model. Ultimately, the development of such an integrated tool should inform and support planning practice in guiding urban systems towards greater sustainability.
Raising Information Security Awareness in the Field of Urban and Regional Planning
Authors: Scholl Margit Christa
Published: May 2019

IT is being increasingly used in most areas of life. With the IoT, this technology is set to be in a state of continuous evolution in urban and regional settings. The ongoing development of digitalization processes also increases the possibilities of abuse—both at the technical and interpersonal level. Better information security (IS) awareness (ISA) and knowledge about the dangers that accompany digitalization and the corresponding protective measures are important in private and work life. However, ISA is often overlooked. Training the relevant awareness and skills should also be included in urban and regional planning for citizens. This article thus provides a review of the scientific literature of leading academic journals in the area of IS and the transfer of scientific knowledge for practical purposes. The article presents Serious Games as a way to achieve a deeper understanding of how to promote sustainable ISA using creative methods. Furthermore, ideas of how to apply the Fun Theory and its practice to integrate awareness into modern urban and regional planning will be discussed.
A New Dynamic Neighbourhood-Based Semantic Dissimilarity Measure for Ontology
Authors: Balasubramanian Sathiya , Geetha T. V.
Published: May 2019

The semantic web is a global initiative which employs ontologies to offer rich, semantic-based knowledge representation. Concepts in these ontologies are explored to find (dis)similarities between them using (dis)similarity measures. Despite the existence of numerous (dis)similarity measures, none have dynamically determined the quantum of information required to discover (dis)similarities between concepts. In this article, a new, efficient, feature-based semantic dissimilarity measure is proposed where the prime novelty lies in the dynamic selection of the semantic neighourhood (features) of the concepts. The neighbourhood is dynamically selected in accordance with the local density of the concept and the density of the ontology determined by the proposed density coefficient. Further, the proposed measure also scales down the dissimilarity value in accordance with the depth of the concept pair, using the novel Depth Coefficient.
Text Clustering Using PSO Based Dynamic Adaptive SOM for Detecting Emergent Trends
Authors: Chandrakala D  , Sumathi S  , Saran Kumar A  , Sathish J
Published: May 2019

Detection and realization of new trends from corpus are achieved through Emergent Trend Detection (ETD) methods, which is a principal application of text mining. This article discusses the influence of the Particle Swarm Optimization (PSO) on Dynamic Adaptive Self Organizing Maps (DASOM) in the design of an efficient ETD scheme by optimizing the neural parameters of the network. This hybrid machine learning scheme is designed to accomplish maximum accuracy with minimum computational time. The efficiency and scalability of the proposed scheme is analyzed and compared with standard algorithms such as SOM, DASOM and Linear Regression analysis. The system is trained and tested on DBLP database, University of Trier, Germany. The superiority of hybrid DASOM algorithm over the well-known algorithms in handling high dimensional large-scale data to detect emergent trends from the corpus is established in this article.
Single-Sentence Compression using XGBoost
Authors: Sahoo Deepak , Balabantaray Rakesh Chandra
Published: May 2019

Sentence compression is known as presenting a sentence in a fewer number of words compared to its original one without changing the meaning. Recent works on sentence compression formulates the problem as an integer linear programming problem (ILP) then solves it using an external ILP-solver which suffers from slow running time. In this article, the sentence compression task is formulated as a two-class classification problem and used a gradient boosting technique to solve the problem. Different models are created using two different datasets. The best model is taken for evaluation. The quality of compression is measured using two important quality measures, informativeness and compression rate. This article has achieved 70.2 percent in informativeness and 38.62 percent in compression rate.
The Culture of Volunteerism and the Role of Social Media in its Development
Authors: Akel Maged , Mohammad Osama
Published: May 2019

Volunteering is one of the various social activities that human societies have known and practiced since their inception. It is not the outcome of the last decades of the life of these societies, but it was present in almost every human civilization in its various forms and methods. Voluntary work is of great importance as far as individuals and societies are concerned. It is a symbol of solidarity among the members of the community and all its institutions. It positively affects people's lives as well as the community at large. It symbolizes the meanings of good, giving, and help. Accordingly, volunteering has become a cornerstone in building society and social cohesion among its members. In this regard, voluntary work is of great importance. It necessitates the need to spread this culture in the society and to promote and develop volunteerism among young people using all available and possible methods.
Performance Evaluation of UDP, DCCP and TCP in Congested Wired Networks
Authors: Mzrieb Hossam
Published: May 2019

Communication through the internet is one of the dominant methods of exchanging information. TCP and UDP are the transport layer protocols responsible for transit of nearly all Internet communications. Due to the growth of real-time audio and video applications, UDP is being used more frequently as a transport protocol, but unlike TCP, UDP has no mechanism for congestion control leading to wasted bandwidth and poor performance, so the DCCP protocol has appeared as a replacement for UDP. In this article, the author performs some simulations using NS2 for Drop Tail and RED queuing models to evaluate the performance of TCP, UDP, DCCP CCID2, and DCCP CCID3 protocols in congested wired networks. The performance metrics used are throughput, end to end delay, number of sent and lost packets. The obtained results show that the DCCP CCID2 performs the best throughput with the minimum of delay as compared to UDP, TCP, and DCCP CCID3.
Personalized Hybrid Book Recommender
Authors: Arabi Hossein , Balakrishnan Vimala
Published: May 2019

Personalized Recommendation Systems (RS) provide end users with suggestions about items that are likely to be of their interest based on users' details such as demographics, location, time, and emotion. In this article, a Personalized Hybrid Book Recommender (PHyBR) is presented, which integrates personality traits with users' demographic data and geographical location to improve the quality of recommendations. The Ten Item Personality Inventory (TIPI) was used to determine users' personality traits. PHyBR was evaluated using two metrics, that are, Standardized Root Mean Square Residual (SRMR) and Root Mean Square Error of Approximation (RMSEA). Both metrics revealed PHyBR outperforms the baseline models (without considering personality traits and geographical location factor) in terms of the recommendation accuracies. This study shows that users who are in the same geographical contexts intend to have similar preferences. Therefore, users' personality details along with their geographical locations can be used to provide improved personalized recommendations.
The Extend Customer Requirement Factors Based Service Level Evaluation for Manufacturing Enterprises
Authors: Liu Qing , Yu Shanshan , Huang Gang , Xu Xinsheng
Published: May 2019

This study proposes a novel way to evaluate the enterprise customer service level (ECSL) for OEMs (Original Equipment Manufacturers). First, a set of service level evaluating metrics is established based on the extended customer requirement factors (ECRFs), which covers the whole service product delivery process to fully reflect enterprise customers' service requirement. Then, the hybrid fuzzy multiple-criteria decision-making approach combining the analytic hierarchy process (AHP) and the technique for order of preference by similarity to ideal solution (TOPSIS) are adopted. In the evaluating model, a fuzzy method is used to reflect the ambiguity in human thinking and decision making. The weight of each decision maker is determined by a two-layer way to make it more objective. The individual preferences are aggregated by AIP (aggregating individual priorities) way in the group decision-making process of the AHP to respect each decision makers' separate opinion. With the presented approach, ECSL can be evaluated and adjusted conveniently.
Decision Support System for Assigning Members to Agile Teams
Authors: Almeida Fernando , Adão Diogo , Martins Catarina
Published: May 2019

The use of agile methodologies like SCRUM is seen by companies in the software engineering field as a strategic necessity for their competitiveness, which makes them more reactive and dynamic in an increasingly demanding and competitive international market. One of the critical factors in the implementation of a SCRUM environment is the set-up of teams that are simultaneously homogeneous and composed of the best collaborators for each SCRUM role. In this sense, this study describes the modeling process and presents the implementation of a decision support system that can contribute to improving the process of assigning an agile team simultaneously considering the technical and social skills of employees. The results of the study allowed testing the application considering different competencies associated to each Agile position, the impact that the attribution process suffers from oscillations in the process of evaluation and self-evaluation, and the impact in terms of the performance of the inclusion of new collaborators and criteria comparison.
Contemporary Issues in the Ethics of Data Analytics in Ride-Hailing Service
Authors: Chang Victor , Shi Yujie , Li Xuemin
Published: May 2019

Big data technology has brought about the establishment of transportation network companies (TNCs), such as Uber in the USA, and Didi in China, who provide the ride hailing services (RHS's) which allows the individuals to act as independent contractors serving customers via a smartphone app. The RHS system installed gigantic databases which can store enormous data and its equipment can collect various kinds of data at any time. Additionally, data analysis technologies in TNCs such as behavioral analysis, heatmap optimization surge pricing and the automatic order assignment mechanisms, can make the RHS more efficient. However, along with achievements big data technology offers, we are struggling towards the ethical problems, including privacy, inequity and safety.