bluuebunny/crossref_metadata_2025 huggingface dataset:
Espaces fictionnels, espaces interactionnels : approches linguistiques des séries
Authors: Debras Camille
Published: December 2020

Les séries plaisent-elles parce que les personnages parlent comme le spectateur, reflétant ainsi son univers ? Cet article propose un tour d’horizon des approches linguistiques des séries, autour de la notion centrale d’espace. Deux approches se sont particulièrement saisies des séries, la linguistique de corpus et la linguistique interactionnelle, autour de trois enjeux centraux : la représentation du réel, la définition des personnages et l’interaction avec le spectateur. À partir d’analyses semi-automatisées de transcriptions des dialogues des séries, la linguistique de corpus en caractérise le genre discursif. La linguistique interactionnelle théorise l’enchâssement des deux espaces d’interaction mis en jeu : l’interaction réelle entre le spectateur et la série, qui se construit par le biais de l’interaction fictionnelle entre les personnages.Comme le montrent Quaglio et Bednarek, le genre discursif de la série est plus informel, plus émotionnel, moins vague, et moins narratif que la conversation spontanée. La stabilité langagière des personnages au fil des saisons est centrale pour construire la stabilité de l’univers fictionnel. Les pratiques langagières et sémiotiques des personnages mettent en jeu les attentes et les cadres interprétatifs socioculturels du spectateur pour construire des types.L’espace interactionnel spectateur-fiction a donné lieu à de multiples théorisations ; le modèle d’interaction screen-to-face proposé par Bubel est le plus abouti. Celui-ci intègre les notions de participation framework proposée par Goffman et Clark, celle de recipient design proposée par Sacks et ses collègues, ainsi que les travaux anthropologiques de Duranti sur le rôle actif du spectateur. Toolan montre que l’opacité linguistique dans une série comme The Wire est sa force, car la série joue sur le dispositif d’interaction screen-to-face, en positionnant un spectateur en proie à de constantes difficultés de compréhension aux côtés de personnages qui ne cessent de s’épier.
The phonology of the Northern, the Southern and the foreign in Game of Thrones
Authors: Viollain Cécile , Chatellier Hugo
Published: December 2020

When it comes to places and territories, much is at stake in Game of Thrones (henceforth, GoT) as the opening credits, which map out the narrative world of this series, make very clear to the audience. We argue that the accents spoken by the characters are part and parcel of the creation of the GoT universe and greatly contribute to anchoring the show at the historical, geographical and sociolinguistic levels. Indeed, with the advent of dialect coaches, accents have become a paramount component in actors and actresses’ performances, which are widely discussed online and evaluated as credible and deserving of awards, or, on the contrary, as completely off target and ridiculous. It consequently should not come as a surprise that GoT is a rich object of investigation for sociolinguists as accents are performed with specific purposes: to bring the audience to a different time (i.e. a pseudo-medieval era), to different places as the characters do not come from the same geographical areas and the plot unfolds over a rather large territory, and to different conclusions as to the moral values and personality traits of the different characters. There are many lay accounts of the actors and actresses’ accent performances, but the socio-phonological literature on this issue is still rather scarce. Fundamental research has been conducted into how the discourse features and pronunciation of TV series or cartoon characters reinforce stereotypes and are a shortcut to characterization (Lippi-Green 1997, 2012). However, to our knowledge, no systematic phonological, phonetic and sociolinguistic study of the accents in GoT has been published. This is precisely what we offer to do here.
Atlanta (FX, Donald Glover, 2016-), vers une transgression générique des frontières géographiques et sociales
Authors: Ducotey Yvelin
Published: December 2020

« Le paysage a beau être dégagé et le terrain visible, l’espace cache beaucoup plus de choses qu’il ne révèle ». Donald Glover, artiste polyvalent (musicien, acteur, réalisateur, producteur) illustre ce constat dans la série qu’il dirige, Atlanta (FX, 2016-) et ce dès la séquence introductive du premier épisode. Après une rapide plongée dans le milieu du rap à Atlanta, une succession de plans aériens en plongées verticales « cartographie » la ville d’Atlanta et présente au spectateur plusieurs frontières qui s’avèrent identitaires. L’ouverture de la série dévoile un tissu urbain fait de disparités, entre résidences familiales aisées et quartiers défavorisés où les terrains vagues se multiplient. Les coupes franches entre ces différentes réalités spatiales semblent rendre le dialogue entre elles impossible. Néanmoins, le paysage est « dégagé », mais derrière la verticalité des plans se dissimule une réalité sociale complexe et normée que le showrunner Donald Glover décortique d’épisode en épisode. Après avoir mis en scène les interstices spatiaux qui deviennent des zones de tension, Donald Glover répond aux frontières qui se dressent devant ses personnages par une hybridité générique et une liberté créatrice remarquable lui permettant de s’extirper du cadre, tant formel que sociétal.
Louisiana and Southern Identities in True Blood (HBO, 2008-2014)
Authors: Toulza Mikaël
Published: December 2020

HBO’s series True Blood (Alan Ball, 2008-2014) explores a storyworld in which vampires have come out of the coffin and live openly among humans, thus confronting hegemonic discourses with figures of otherness. This chapter focuses on the dramatic and political potential of the series’ places. Be they public (Merlotte’s, the Fangtasia) or private (Sookie’s house, Bill’s mansion), they participate in True Blood’s seriality by bringing viewers back to familiar places where identities are played out and subverted. For instance, Merlotte’s, the stereotypical southern diner, is where the stereotypical version of Southernness is confronted to figures of otherness. Its vampire counterpart Fangtasia embraces otherness and non-normative fantasies only to commodify them by integrating them into a capitalist structure. The four recurring places of the series are sites in which normative and non-normative behaviors compete and are contained. As central stages, these places, where most of True Blood’s moments of tension and reconciliation occur, partake in the series’ narrative and political complexity and in a reevaluation of the legacy of Southern history and cultural history.
Topographies fantastiques dans la fiction télévisée francophone : Les Revenants (Canal +, 2012 ; 2015) et Zone blanche (France 2, 2017-2019)
Authors: Evrard Audrey
Published: December 2020

Cet article examine la mise en scène de plus en plus commune dans les séries télévisées policières et/ou fantastiques francophones (principalement françaises et franco-belges) de territorialités composites et topographies mobiles. M’appuyant principalement sur Les Revenants (Canal+, 2012-2015) et Zone blanche (France 2, 2017), je m’intéresse en particulier à ce que je vois comme une double impulsion paradoxale dans le travail des scénaristes et réalisateurs francophones depuis quelques années. Inspirés notamment par l’engouement international pour l’esthétique sérielle scandinave, ces derniers mettent l’accent sur une temporalité plus longue et plus lente de la progression de l’intrigue et de sa résolution. D’une part, ces séries opèrent une déterritorialisation visible du récit. Bien que celui-ci se déroule systématiquement dans une communauté rurale ou du moins étrangement isolée, l’espace échappe à toute localisation spécifique et se définit plutôt par son caractère dénationalisé, assemblage d’éléments hétéroclites et marqueurs géographiques divers. D’autre part, et c’est là qu’émerge le paradoxe, ces séries revendiquent la centralité narrative et esthétique d’un enracinement géographique et écologique double. Affirmant un lien inextricable entre l’humain et le naturel, ces deux séries mobilisent des récits historiques et mythologiques locaux spécifiques. Si tout effort de différencier espaces local, national et global s’y trouve ainsi déstabilisé, le paysage, lui, s’y voit réactivé et animé là où, traditionnellement, il était réduit à sa simple présence spectaculaire et son affirmation d’une identité régionale ou nationale. Le monde que nous découvrons dans ses diverses manifestations atmosphériques, écologiques et géologiques, se transforme en un site/lieu défini autant par son immobilisme que par sa mobilité, signifiant, comme le proposait Gilles Deleuze dans son livre L’Image-Temps (1985), à la fois l’absence et la présence, le vide et le plein, la vie et la mort. Si l’intertextualité référentielle déployée à travers ces séries suggère une appropriation, et une transposition, de codes génériques étrangers, je propose que nous y voyions plutôt la mise en scène et le questionnement de ce rapport.
Downton Abbey, ou comment représenter les rapports sociaux à travers la demeure et son espace
Authors: Faingnaert Victor
Published: December 2020

Pendant 6 saisons, la série Downton Abbey (ITV1, 2010-2015) a raconté l’histoire, au début du XXe siècle, de la famille Crawley, issue de l’aristocratie britannique, et de ses domestiques. Le titre de la série, ainsi que l’image qui accompagne le générique, font porter l’attention, non pas tant sur les personnages eux-mêmes que sur le lieu où ils demeurent et où l’essentiel de l’action se déroule. Tout cela comme si la maison, la demeure familiale, était l’héroïne de la série, dont les personnages ne seraient alors que des résidents temporaires.Dans la maison, d’un étage à l’autre, certains personnages se reflètent et se répondent, quel que soit leur milieu d’origine. C’est la proximité de ces caractères et de ces personnages, au cœur de la demeure familiale, qui forme le sujet de la série. La maison fonctionne ainsi comme une métaphore, notamment de la nation, et son microcosme interne permet de développer une vision du Royaume-Uni. Mais la série reproduit également des rapports historiques ou semblables historiquement, à la demeure, à l’ordre ou encore à la hiérarchie sociale. Les rapports des personnages avec la demeure forment le sujet de cette analyse. Comprendre les rapports qu’ils entretiennent avec les différents espaces qui composent Downton permet de faire ressortir des sujets et des méthodes d’écritures de l’Histoire. Malgré une vision conservatrice, assumée et cultivée, la demeure révèle non seulement ces proximités de caractères, mais est également un lieu de rencontre, voire de passage d’une classe à une autre. Certains espaces ainsi que certains personnages sont des moyens d’émancipations et sont sollicités à de nombreuses reprises. D’autres personnages se construisent ou évoluent en opposition au lieu familial. Analyser tous ces fonctionnements permet de comprendre les forces qui régissent le monde de la série.
Walking in (a) Bordertown: Sorjonen, Liminality, and the Spatial Imaginary of Lappeenranta
Authors: Saunders Robert A.
Published: December 2020

Finnish programming is increasingly finding success beyond the country’s borders. Sorjonen - or as it is known internationally, Bordertown - is perhaps the best example of this trend, having been distributed with subtitles in multiple languages via Netflix. Set in the idyllic lakeside resort of Lappeenranta, which is also Finland’s closest city to St. Petersburg, Russia, Bordertown revolves around Detective Inspector Kari Sorjonen (Ville Virtanen) following his relocation there in the wake of his wife’s illness. Hoping to leave major crimes behind in the capital of Helsinki, Sorjonen is soon investigating horrific violence and gruesome events. The criminal networks he discovers often extend far beyond tiny Lappeenranta, thus placing the city at the nexus of illicit flows that link Russia to continental Europe. While Bordertown does not engage in the crass Russophobia of many other screened geopolitical interventions, the series does deploy its setting’s geopolitical liminality to engage with a variety of challenges to Europe. This essay interrogates Bordertown’s use of a real place, i.e. Lappeenranta, to sculpt a geopolitical imaginary that can tell a story. Focussing on a variety of elements from water to windmills and from the city council to the cellar, I employ various scales of engagement (i.e. the local, border, state, land and nation) to examine the series’ narrative, dramaturgical and visual “scaping” of a chimerical “border town” that maps on to the “real” city of Lappeenranta. Informed by my June 2018 Bordertown TV-Series Walking Tour, my analysis synthesises approaches from cultural geography, critical IR and television studies to assess the Bordertown’s intervention in the everyday, lived and embodied geopolitics of this south-eastern Finnish city.
Reasons Behind a Career Change Through Vocational Education and Training
Authors: Yousfani kinza , Gweyi Thembisile Ernest , Noonari Khair un Nisa
Published: December 2020

Current changes in the education system and increased competition for employment have pressurized the government to produce major skills among the youth to make them employable. Moreover, technical and vocational education (TVE) worldwide is being used to resolve the problems of unemployment, poverty, and increased competition in the international labor market. Also, technical and vocational education is called career and technical education (CTE), which enables students to get a professional job without graduating or acquiring any other professional degree. Furthermore, it is an education that provides a hands-on experience that helps individuals to get a desirable job easily in the future. This chapter highlights how Pakistan has developed TVE and has taken several initiatives like TEVTA and NAVTTC (National Vocational and Technical Training Commission), which are taken for providing skills to the local people for their better career building. The data is collected from several official government websites of Pakistan which are mentioned further in the chapter and also provided on the reference page. Also, the study supports different previous research articles. To empower women and adolescent girls, TVE has been considered an important factor. So, it is important in every country to include both general training and vocational education for the growth of society.
Liability in Labor Legislation
Authors: Andreeva Andriyana , Yolova Galina
Published: December 2020

The study analyzes the influence of artificial intelligence on labor relations and the related need to adapt to the legal institute of liability in labor law with the new social realities. The sources at European level are studied and the current aspects of liability in the labor law at a national level are analyzed. Based on the analysis, the challenges are outlined and the trends for the doctrine, the European community, and the legislation for the introduction of a regulatory framework are identified.
Augmented Reality Application
Authors: Geetha S. , Anbarasi L. Jani , Prasad Arya Vardhan , Gupta Aayush , Raj Benson Edwin
Published: December 2020

Augmented reality (AR) is an extension of extended reality that superimposes virtual images onto real world view. It has been implemented across a versatile range of fields including education, entertainment, military, and much more. Unlike virtual reality (VR), AR focuses on enhancing the real-world view and enriching people with a better way to display the learning content in an attractive way. AR provides content simulation and interaction which can display textual data in a more immersive way which can retain learner's concentration for longer periods of time. Technology has always helped people with disabilities. Mentally differently abled children require special attention right from their childhood. Many applications have analysed the challenges faced on a daily basis by the differently abled. Hence, AR-based learning would make their learning much more easier through the personalized and immersive platform. In the given context, this chapter analyses the use of AR in education and developed an AR-learning platform for mentally differently abled based on Unity3D and Vuforia.
Analyzing Knowledge Representation of University Ontology Through Semantic Web
Authors: Kumari Juli , Kumar Deepak , Kumar Ela
Published: December 2020

Nowadays, people are using lots of websites for searching and retrieving information. Most of the websites keep information in a simple format with all information simply linked with each other. Such type of information has less accuracy. So, there is utmost important to work on knowledge-based, information presentation. Hence, the advent of the semantic web called intelligent and meaningful web is a new trend in the area of web development. Ontology is a key term widely used in the development of the Semantic Web. It is an idea, which strongly focused on class, object, and relationship relatively than information. Protégé is a tool widely used for ontology development and customization. It has a user interface for ontology results visualization. It provides a view for a developer for a strong focus on creating knowledge rather than syntax. It provides the flexibility to add-on more additional features by the extendable plug-in. The purpose of this work is to develop a knowledge-based university system. Here, as an example of Indira Gandhi Delhi Technical University Delhi has been taken and created a university ontology using protégé tool. It also includes various aspects like classes, class hierarchy, superclass and subclass, and also created a subclass instance for designing class, class hierarchy, query searching, and retrieval process, and the result is demonstrated in graphical form.
Performance of Chitosan and Polyglutamic Acid in Palm Oil Mill Effluent Treatment
Authors: Lee Man Djun , Lee Pui San
Published: December 2020

This chapter presents the study on pollutant removal efficiency in palm oil mill effluent using chitosan and polyglutamic acid (PGA). Up until today, palm oil mill effluent (POME) has been considered one of the significant sources of environmental pollution. The characteristics of POME include contaminating the source of drinking water, which is also harmful to the aquatic ecosystem by creating a highly acidic environment or causing eutrophication. With increasing public awareness of environmental pollution, it creates the need to address this issue. Both chitosan and PGA are non-polluting food-based anionic and biodegradable biopolymers that are environmentally friendly in wastewater treatment. The critical parameter to determine the effectiveness of pollutants removal is chemical oxygen demand, colour, and total suspended solids. In this aspect, this chapter also discussed some of the significant findings done in previous studies to provide proper understandings and implications on this topic.
Safe Use of Wastewater in Agriculture Through Bioremediation Processes
Authors: Dubey Rachana , Choudhary Arbind Kumar , Mishra Janki Sharan , Upadhyaya Ashutosh , Dwivedi Sharad Kumar , Mondal Surajit , Koteswara Rao Karnena , Dubey Abhishek Kumar
Published: December 2020

Population growth, industrialisation, urbanisation, and climate change have created huge pressure on freshwater resources to fulfil the demand. Approx. 70-80% of the freshwater supply returns as wastewater, which is difficult to tackle and manage. We need to tackle the freshwater demand from different sectors like domestic, industrial, and agriculture. Most important is how to use the wastewater safely in agriculture. Therefore, it is an apt time to refocus on ways to recycle water especially in sectors like agriculture and for ecosystem services. The major concern in using wastewater in agriculture is its quality as the wastewater may carry pathogens, heavy metals, and many other pollutants, which might reach to human beings and animals via food chain. A solution to wastewater reuse is through bioremediation techniques. Bioremediation should be considered as a feasible and futuristic technology for safe use of wastewater in agriculture as it will reduce the burden on centralised water treatment system as well as it being economic and eco-friendly.
A Brief Analysis of Blockchain Algorithms and Its Challenges
Authors: Krishnamurthi Rajalakshmi , Shree Tuhina
Published: December 2020

Blockchain is the world's most trusted service. It serves as a ledger that allows transaction to take place in a decentralized manner. There are so many applications based on blockchain technology, including those covering numerous fields like financial services, non-financial services, internet of things (IoT), and so on. Blockchain combines a distributed database and decentralized ledger without the need of verification by central authority. This chapter surveys the different consensus algorithms, blockchain challenges, and their scope. There are still many challenges of this technology, such as scalability and security problems, waiting to be overcome. The consensus algorithms of blockchain are proof of work (POW), proof of stake (POS), ripple protocol consensus algorithm (RPCA), delegated proof of stake (dPOS), stellar consensus protocol (SCP), and proof of importance (POI). This chapter discusses the core concept of blockchain and some mining techniques, consensus problems, and consensus algorithms and comparison algorithms on the basis of performance.
The Paradigms of Blockchain Technology
Authors: Bhadoria Robin Singh , Agasti Vaibhav
Published: December 2020

The invention of blockchain technology has paved the way for the decentralization of existing systems. Blockchains have consistently delivered prominent applications, particularly in the finance sector. The most popular application of blockchain is cryptocurrency. Blockchain technology however has a variety of applications beyond cryptocurrencies. This article discusses the basics of blockchain technology along with some of its potential applications. With the rising use of this technology, the security of these systems is a major concern. The security threats and risks to blockchain systems are also reviewed along with the tools and methodologies to prevent and handle it in more sophisticated manner.
Data Confidentiality, Integrity, and Authentication
Authors: Senthilkumar Dhanalakshmi
Published: December 2020

Blockchain has been created in the process of development in bitcoin. It's a singly linked list of block, with each block containing a number of transactions and each list in the blocks using with cryptographic functions. The cryptographic hash function contains the hash of the previous block, timestamp, and transaction ID. Blockchain services include the authentication, confidentiality, integrity, data and resource provenance, and privacy and access control lists technologies. The authentication provider authenticates decentralized database with transactions in private-public key pair. This key-pair is used in the transport layer security with the entire network. The network legitimizes the transaction after that and adds the transaction to the blockchain. A sequence of blocks in blockchain holds the complete record of transactions like a public ledger. The integrity data written in the blockchain cannot be altered subsequently. By limiting access to the information in confidentiality, only authorized users can access the information, so that information is also protected.
Blockchain for Security of Cloud-Based Online Auction
Authors: Shu Yun , Yu Jian , Yan Wei Qi
Published: December 2020

Online auction is one of the most successful internet business models. However, auction fraud has become the highest threat and hazard to the future of this business model. The blockchain provides a new perspective to resolve this problem. It can be used for current financial services, certificates, remittances, and online payments; meanwhile it also provides several crucial services such as smart contract, smart property, trust system, and security services. This chapter discusses how to apply blockchain to a cloud-based online auction and the principle of operation. The purpose is to fundamentally solve the problem of online fraud caused by information asymmetry of electronic transactions. To the best of the authors' knowledge, this is the first time that the blockchain has been applied to authentication of online auction. The preliminary contribution is for preventing auction fraud from the aspects of smart properties and smart contract.
Novel Cryptography Technique via Chaos Synchronization of Fractional-Order Derivative Systems
Authors: Tene Alain Giresse , Kofane Timoleon Crépin
Published: December 2020

Synchronization of fractional-order-derivative systems for cryptography purpose is still exploratory and despite an increase in cryptography research, several challenges remain in designing a powerful cryptosystem. This chapter addresses the problem of synchronization of fractional-order-derivative chaotic systems using random numbers generator for a novel technique to key distribution in cryptography. However, there is evidence that researchers have approached the problem using integer order derivative chaotic systems. Consequently, the aim of the chapter lies in coding and decoding a text via chaos synchronization of fractional-order derivative, the performance analysis and the key establishment scheme following an application on a text encryption using the chaotic Mathieu-Van Der Pol fractional system. In order to improve the level of the key security, the Fibonacci Q-matrix is used in the key generation process and the initial condition; the order of the derivative of the responder system secretly shared between the responder and the receiver are also involved. It followed from this study that compared to the existing cryptography techniques, this proposed method is found to be very efficient due to the fact that, it improves the key security.
Distributed Trust Using Blockchain for Efficient Pharmaceutical Supply Chain
Authors: Nageswar Arun Kumar , Yellampalli Siva
Published: December 2020

With traditional ERP systems, there is a lack of networking among suppliers, partners, and logistics providers. So, there is a need to have a holistic view of production and movement of goods from production to last mile delivery. The physical and digital supply chains need to be integrated to ensure secure supply chains that promote business excellence, collaboration among stakeholders, and reduce costs. The high-level view over their supply chains allows them to function better in a multi-channel world. It also helps them identify where to reduce stock without compromising customer service. Otherwise, it leads to a delay in delivery, counterfeit products, thefts, fraud, and cyberpiracy, which may lead to lawsuits and losing of brand image. The tacit function of supply chain management is to provide tracking of specific goods in the supply chain. So, it is imperative to leverage the blockchain technology stack to map multi-enterprise value networks and enable connected multi-modal networks.
Towards Trusted, Transparent and Motivational Professional Education System Through Blockchain
Authors: Pani Santosh Kumar , Chatterjee Rajdeep , Mahapatra Nihar Ranjan
Published: December 2020

The learning process has evolved with time. The primary change that technologies have brought into the learning process is more structure and activity based. It has become a necessity and a mandate as well to keep a track of details of educational activities so that it can be referred back to at any point in time. Moreover, it requires a secure protocol which is trustworthy, transparent, less vulnerable and requires near zero involvement of mediators. Blockchain technology has a tremendous potential to disrupt the education sector. Its implementation will help to maintain time-stamped record keeping that can be validated for all types of activities involved in the professional education system. This article proposes a blockchain-based model for professional education systems. The model not only ensures digital identity, verifiable records, but also motivates learning process by rewarding B-coins for learning activities. It inherits the security, robustness of underlying blockchain technology and eliminates the need for verification by an intermediate agency.
Enhancing Security in a Big Stream Cloud Architecture for the Internet of Things Through Blockchain
Authors: Davoli Luca , Belli Laura , Ferrari Gianluigi
Published: December 2020

The Internet of Things (IoT) paradigm is foreseeing the development of our environment towards new enriched spaces in most areas of modern living, such as digital health, smart cities, and smart agriculture. Several IoT applications also have real-time and low-latency requirements and must rely on specific architectures. The authors refer to the paradigm that best fits the selected IoT scenario as “Big Stream” because it considers real-time constraints. Moreover, the blockchain concept has drawn attention as the next-generation technology through the authentication of peers that share encryption and the generation of hash values. In addition, the blockchain can be applied in conjunction with Cloud Computing and the IoT paradigms, since it avoids the involvement of third parties in a broker-free way. In this chapter, an analysis on mechanisms that can be adopted to secure Big Stream data in a graph-based platform, thus delivering them to consumers in an efficient and secure way, and with low latency, is shown, describing all refinements required employing federation-based and blockchain paradigms.
Pattern-Based Cloud Migration
Authors: Wan Zhitao
Published: December 2020

To migrate on-premises business systems to the cloud environment faces challenges: the complexity, diversity of the legacy systems, cloud, and cloud migration services. Consequently, the cloud migration faces two major problems. The first one is how to select cloud services for the legacy systems, and the second one is how to move the corresponding workload from legacy systems to cloud. This chapter presents a total cloud migration solution including cloud service selection and optimization, cloud migration pattern generation, and cloud migration pattern enforcement. It takes the pattern as the core, and unifies the cloud migration request, the cloud migration service pattern, and the cloud migration service composition. A cloud migration example of blockchain system shows that the proposed approach improves the cloud service selection, cloud migration service composition generation efficiency, migration process parallelization, and enables long transaction support by means of pattern reuse.
Will Blockchain Bring an End to Corruption?
Authors: Kim Kibum , Kang Taewon
Published: December 2020

Blockchain technology is an electronic ledger of digital records that is distributed over a network of computers rather than located on single or multiple servers. As the technology is by itself transparent and secure even without a trusted third party involvement, many applications are being developed as a means of eliminating corruption around the world. This article examines how the blockchain technology could be used to curb corruption and take integrity to higher standards at a firm level, within-country level and cross-country level. Possible risks and challenges related to the technology were identified and found that without considering the data governance and security issues, the blockchain technology may not always lead to a socio-economic benefit.
Hybrid Attributes Technique Filter for the Tracking of Crowd Behavior
Authors: Chebi Hocine
Published: December 2020

In this chapter, the authors propose two algorithms based on the device of attributes for tracking of the abnormal behavior of crowd in the visual systems of surveillance. Previous works were realized in the case of detection of behavior, which uses the analysis and the classification of behavior of crowds; this work explores the continuity in the same domain, but in the case of the automatic tracking based on the techniques of filtering one using the KALMAN filter and particles filter. The proposed algorithms he the technique of filter with particle is independent from the detection and from the segmentation human, so is strong with regard to (compared with) the filter of Kalman. In conclusion, the chapter applies the method for tracking of the abnormal behavior to several videos and shows the promising results.
Computationally Efficient and Effective Machine Learning Model Using Time Series Data in Different Prediction Problems
Authors: Bebarta Dwiti Krishna , Biswal Birendra
Published: December 2020

Automated feature engineering is to build predictive models that are capable of transforming raw data into features, that is, creation of new features from existing ones on various datasets to create meaningful features and examining their effect on planned model performances on various parameters like accuracy, efficiency, and prevent data leakage. So the challenges for experts are to plan computationally efficient and effective machine, learning-based predictive models. This chapter will provide an imminent to the important intelligent techniques that could be utilized to enhance predictive analytics by using an advanced form of the predictive model. A computationally efficient and effective machine learning model using functional link artificial neural network (FLANN) is discussed to design for predicting the business needs with a high degree of accuracy for the traders or investors. The performance of the models using FLANN is encouraging when scientifically analyzed the experimental results of the model using different statistical analyses.
Reciprocation of Indian States on Trade Relation
Authors: Jana Rabindranath , Vdhyarani P. , Maruthakutti R.
Published: December 2020

In the past few years, it is being observed that there is a wake-up call for creating one economic India, one market place with free movement of goods and people. Again, for creating one economic India, the needs of creating one economic India, it needs to preserve sovereignty for the Indian states. However, it is very pertinent to ask how much internal integration India has achieved through trade between states within India. Under such brief backdrop, the author has tried, as an initial attempt, to apply social network analysis (SNA) for studying empirically reciprocation/cohesiveness of Indian states using the data on inter-firm and intra-firm trade flows between states for the financial year 2015-2016. On the basis of reciprocity counts for weighted social networks on inter-states trade relation, the standardized reciprocity measures have been adopted for the chapter. The outcomes of the chapter seem to offer important implications for understanding cooperation and integration on inter-states trade interactions and to exhibit the equilibrium and circularity of inter-state trade flows.
Secure Chaotic Image Encryption Based on Multi-Point Row-Column-Crossover Operation
Authors: Patro K. Abhimanyu Kumar , Drolia Mukesh , Yadav Akash Deep , Acharya Bibhudendra
Published: December 2020

In this present era, where everything is getting digitalized, information or data in any form, important to an organization or individual, are at a greater risk of being attacked under acts, commonly known as cyber-attack. Hence, a proper and more efficient cryptosystem is the prime need of the hour to secure the data (especially the image data). This chapter proposes an efficient multi-point crossover operation-based chaotic image encryption system to secure images. The multi-point crossover operation is performed on both the rows and columns of bit-planes in the images. The improved one-dimensional chaotic maps are then used to perform pixel-permutation and diffusion operations. The main advantage of this technique is the use of multi-point crossover operation in bit-levels. The multi-point crossover operation not only increases the security of cipher images but also increases the key space of the algorithm. The outcomes and analyses of various parameters show the best performance of the algorithm in image encryption and different common attacks.
Optimization Performance Integral Criteria Based on Hybrid Soft Computing for QTS System
Authors: Pithadiya Prakash Mansukhlal , Shah Vipul A.
Published: December 2020

This research work proposed MPSO methods for nonlinear complex QTS process. This system is implemented in various process control industries, design, and development of a new controller to increase the better stability and improve the performance of integral criteria. This proposed work goal is to minimize parameters for process controller by statistical Taguchi method combined with mutation particle swarm optimization algorithm for industrial laboratory highly complex nonlinear QTS. The designed value is tested using Simulink model in MATLAB. Using proposed controller values are tested in the real experiment set up and experiment output response is reached. The various controller designed are PID controller for QTS. The result shows that TMPSO technique is provided the good result when compared with other approaches. The TMPSO techniques use for setting controller offers enhanced process specification such as better time domain specifications, smooth error reference tracking, and minimization of error in the nonlinear system.
An Innovative Approach to Solve Healthcare Issues Using Big Data Image Analytics
Authors: Ramesh R.  , Udayakumar E.  , Srihari K.  , Sunil Pathak P.
Published: December 2020

The increasing adoption of transmission of medical images through internet in healthcare has led to several security threats to patient medical information. Permitting quiet data to be in peril may prompt hopeless harm, ethically and truly to the patient. Accordingly, it is important to take measures to forestall illicit access and altering of clinical pictures. This requests reception of security components to guarantee three fundamental security administrations – classification, content-based legitimacy, and trustworthiness of clinical pictures traded in telemedicine applications. Right now, inside created symmetric key cryptographic capacities are utilized. Pictorial model-based perceptual image hash is used to provide content-based authentication for malicious tampering detection and localization. The presentation of the projected algorithm has been evaluated using performance metrics such as PSNR, normalized correlation, entropy, and histogram analysis, and the simulation results show that the security services have been achieved effectively.
Analysis of Heart Disease Using Parallel and Sequential Ensemble Methods With Feature Selection Techniques
Authors: Yadav Dhyan Chandra , Pal Saurabh
Published: December 2020

This paper has organized a heart disease-related dataset from UCI repository. The organized dataset describes variables correlations with class-level target variables. This experiment has analyzed the variables by different machine learning algorithms. The authors have considered prediction-based previous work and finds some machine learning algorithms did not properly work or do not cover 100% classification accuracy with overfitting, underfitting, noisy data, residual errors on base level decision tree. This research has used Pearson correlation and chi-square features selection-based algorithms for heart disease attributes correlation strength. The main objective of this research to achieved highest classification accuracy with fewer errors. So, the authors have used parallel and sequential ensemble methods to reduce above drawback in prediction. The parallel and serial ensemble methods were organized by J48 algorithm, reduced error pruning, and decision stump algorithm decision tree-based algorithms. This paper has used random forest ensemble method for parallel randomly selection in prediction and various sequential ensemble methods such as AdaBoost, Gradient Boosting, and XGBoost Meta classifiers. In this paper, the experiment divides into two parts: The first part deals with J48, reduced error pruning and decision stump and generated a random forest ensemble method. This parallel ensemble method calculated high classification accuracy 100% with low error. The second part of the experiment deals with J48, reduced error pruning, and decision stump with three sequential ensemble methods, namely AdaBoostM1, XG Boost, and Gradient Boosting. The XG Boost ensemble method calculated better results or high classification accuracy and low error compare to AdaBoostM1 and Gradient Boosting ensemble methods. The XG Boost ensemble method calculated 98.05% classification accuracy, but random forest ensemble method calculated high classification accuracy 100% with low error.
Simulation Modeling and Analysis of a Door Industry
Authors: Chronis Konstantinos , Xanthopoulos Alexandros , Koulouriotis Dimitrios E.
Published: December 2020

Ιn this paper, the authors study the production line of a door industry. The first stage of this research consists of the detailed documentation with flow charts and systematization of all production processes, all product types, as well as all stages of production and equipment. The standard production times were calculated for each workstation, together with the relevant workforce requirements. In the second stage of this research, a discrete event simulation model of the factory was developed to assist in the production planning decision-making. The simulation model was verified using actual production data relating to 19 customer orders for a total of 1,281 doors. Four simulation experiments were executed, where the effect of alternative shifts on the manufacturing line's efficiency was investigated. The performance metrics of total production, mean daily production, and mean labor cost per product were considered. This experimental trial resulted in the identification of the shift configuration that achieves increased productivity while maintaining relatively low labor costs.
A Cognitive Semiotic Study of Suicide Notes in Selected E-Newspapers in Nigeria
Authors: Akinwande Bankole Idowu , Olaosun Ibrahim Esan
Published: December 2020

The study investigates suicide discourse in selected e-newspapers in Nigeria using the theoretical framework of cognitive semiotics, espoused by Zlatev. It specifically explores how language and mind interact implicitly to project ideological meaning in the selected websites. Findings show that adverbials and interrogatives/rhetorical operations are significant socio-cognitive cues deployed by suicides to express ideational, justificatory, interpersonal, revolutionary, affective, aggressive, and depressive attitudes in the data. Instances of adverbials specifically evoke some physical dimensions of suicide, while Interrogatives/rhetorical operations reflect the psychological aspects of suicide. The study concludes that the solution to the subject of suicide lies partly in the hands of government (by providing jobs, bridging the gap between the rich and the poor, and regulating the sales of hazardous pesticides) and partly in the hands of every individual in the Nigerian clan (by learning to share their problems with guidance counsellors and reliable people around).
Building an Internet-Based Knowledge Ontology for Trademark Protection
Authors: Trappey Charles V. , Chang Ai-Che , Trappey Amy J. C.
Published: December 2020

Global online sales for products, where many are substantially identical or deceptively similar, are the cause of a growing number of trademark (TM) infringement lawsuits. This research proposes an intelligent trademark legal precedent recommendation system to assist trademark owners to find relevant past cases, laws, and judgments to form legal arguments to defend against infringement. Judicial precedent and applicable laws from the USA are used to construct an ontology of trademark litigation knowledge. The ontology is used to analyze potential infringement cases with similar laws and precedents used to resolve previous legal disputes. The analysis provides a basis for proceeding with legal action necessary to protect a company's brand equity when arguing potential trademark infringement. Using the Python programming language, the precedent-based recommendation system provides a means for continuously updating trademark case data and assists TM owners to quickly identify similar cases to support infringement allegations.
ICT as “Knowledge Management” for Assessing Sustainable Consumption and Production in Supply Chains
Authors: Uniyal Surbhi , Mangla Sachin Kumar , Sarma Pappu R. S. , Tseng Ming-Lang , Patil Pravin
Published: December 2020

The significance of sustainability is continually expanding among researchers, policymakers, and decision makers. To improve the efficiency of value chain activities such as manufacturing, distribution, and consumption, an innovative research solution has been proposed: ‘Sustainable Consumption and Production (SCP) through Information and Communication Technology (ICT)'. Sustainability through ICT is significant for the industry in terms of its sustainable effects on production processes, environment, and community. This research seeks to gauge ICT—as knowledge management—for industries in the successful adoption and execution of SCP. In so doing, potential key ICT-based factors to SCP are identified from the literature and experts' feedback. The present work suggests a decision framework for assessing the interrelationships among and between the ICT oriented factors by utilizing graph theory and matrix approach. Data for this work derives from three automotive companies operating in India. From findings, ‘Governance and Management', is the topmost factor for the adoption of sustainable consumption and production in value chains. The relationship among the index values is further evaluated using Spearman's rank correlation coefficient. This research can facilitate practitioners, government agencies, and customers for a better understanding of ICT-driven factors in managing resources, reducing waste, and improving cost, which would further help in meeting sustainable development goals of the United Nations of responsible consumption and production and innovation, industry, and infrastructure.
Integration of the Transcriptome and Genome-Wide Landscape of BRD2 and BRD4 Binding Motifs Identifies Key Superenhancer Genes and Reveals the Mechanism of Bet Inhibitor Action in Rheumatoid Arthritis Synovial Fibroblasts
Authors: Krishna Vinod , Yin Xuefeng , Song Qingxuan , Walsh Alice , Pocalyko David , Bachman Kurtis , Anderson Ian , Madakamutil Loui , Nagpal Sunil
Published: December 2020

Fibroblast-like synoviocytes (FLS), one of the main cell types of the rheumatoid arthritis (RA) synovium, possess phenotypic and molecular characteristics of transformed cells. JQ1, an inhibitor of the bromodomain and extra terminal domain family that includes BRD2, BRD3, BRD4, and BRDt, has shown efficacy in models of arthritis. We demonstrate that the active isomer of JQ1 but not its inactive isomer inhibits IL-1β–induced RA-FLS activation and proliferation. To understand the mechanism of JQ1 action, we subjected JQ1-treated RA-FLS to transcriptional profiling and determined BRD2 and BRD4 cistromes by identifying their global chromatin binding sites. In addition, assay for transposable accessible chromatin by high throughput sequencing was employed to identify open and closed regions of chromatin in JQ1-treated RA-FLS. Through an integrated analysis of expression profiling, Brd2/Brd4 cistrome data, and changes in chromatin accessibility, we found that JQ1 inhibited key BRD2/BRD4 superenhancer genes, downregulated multiple crucial inflammatory pathways, and altered the genome-wide occupancy of critical transcription factors involved in inflammatory signaling. Our results suggest a pleiotropic effect of JQ1 on pathways that have shown to be individually efficacious in RA (in vitro, in vivo, and/or in humans) and provide a strong rationale for targeting BRD2/BRD4 for disease treatment and interception.