bluuebunny/crossref_metadata_2025 huggingface dataset:
The 2019 ‘Fitness Check’ of State Aid Modernisation Reform of 2012—an Opportunity to Redefine and Reintroduce Sustainability into the EU/EEA State Aid Rules? The Example of the Transport Sector
Authors: Cyndecka Małgorzata Agnieszka
Published: November 2019

This article intends to launch a discussion on the possibilities of introducing more sustainability into the rules on granting State aid. State aid law constitutes a crucial part of the internal market regulation. In principle, granting public support to companies is prohibited in the European Union (EU) as such state intervention distorts competition. In some cases, however, aid may be allowed if it pursues a legitimate public policy objective such as research, regional development, transport or environmental protection. In 2017, the EU Member States spent EUR 116.2 billion, i.e., 0.76% of GDP, on State aid at the EU level. While aid to the environment and energy saving promotes sustainability, the question is whether other types of aid also do so. This article provides a brief explanation of the rationale behind State aid control, explains how ‘good aid’ may be approved by the European Commission or EFTA Surveillance Authority (ESA) before it is granted by the Member States and proposes taking a closer look at the current guidelines for granting aid in the transport sector. This sector has a serious impact on the environment and human well-being, while it is heavily subsidised by the state.
“Green” Information Promotes Employees’ Voluntary Green Behavior via Work Values and Perceived Accountability
Authors: Wu Ping-Ju , Wu Tung-Ju , Yuan Kuo-Shu
Published: November 2019

A range of different approaches has been used to involve employees in green workplace initiatives. One example of such an approach is to spread awareness by displaying “green” information concerning work-related environmental protection and sustainability information on organizational bulletin boards. The study aims to examine how green display rules and felt accountability influence the relationship between new-generation employees’ work values and green behavior. There were 567 Chinese millennial employees who participated in this study. The results showed that intrinsic preference, interpersonal harmony, innovative orientation, and long-term development had a positive influence on employees’ green behavior through the effect of felt accountability. Besides, the more green information displayed, the stronger the effect of intrinsic preference, interpersonal harmony, and long-term development on employees’ green behavior. This study provides valuable insights for managers to understand the work values of the new-generation employees and, in turn, improve their green awareness, which can help execute corporate social responsibility.
Releases of Fire-Derived Contaminants from Polymer Pipes Made of Polyvinyl Chloride
Authors: Chong Ngee Sing , Abdulramoni Saidi , Patterson Dwight , Brown Heather
Published: November 2019

In order to assess the human exposure risks from the release of contaminants from water pipes made of polyvinyl chloride (PVC), experiments were carried out by subjecting the PVC pipe material to burning and leaching conditions followed by analysis of the emission and leachate samples. The emissions of burning pipes were analyzed by both infrared spectrometry and gas chromatography-mass spectrometry (GC-MS). The emission test results indicate the presence of chlorinated components including chlorine dioxide, methyl chloride, methylene chloride, allyl chloride, vinyl chloride, ethyl chloride, 1-chlorobutane, tetrachloroethylene, chlorobenzene, and hydrogen chloride were detected in the emissions of burning PVC pipes. Furthermore, the concentrations of benzene, 1,3-butadiene, methyl methacrylate, carbon monoxide, acrolein, and formaldehyde were found at levels capable of affecting human health adversely. The analysis of PVC pipe leachates using GC-MS shows that there are 40–60 tentatively identified compounds, mostly long-chain hydrocarbons such as tetradecane, hexadecane, octadecane, and docosane, were released when the burned PVC materials were soaked in deionized water for one week. Quantitative analysis shows that 2-butoxyethanol, 2-ethyl-1-hexanol, and diethyl phthalate were found in the burned PVC polymer at the average levels of 2.7, 14.0, and 3.1 micrograms per gram (μg/g) of pipe material. This study has significant implications for understanding the benzene contamination of drinking water in the aftermath of wildfires that burned polymer pipes in California.
Dhb Microcystins Discovered in USA Using an Online Concentration LC–MS/MS Platform
Authors: Birbeck Johnna A. , Peraino Nicholas J. , O’Neill Grace M. , Coady Julia , Westrick Judy A.
Published: November 2019

Based on current structural and statistical calculations, thousands of microcystins (MCs) can exist; yet, to date, only 246 MCs have been identified and only 12 commercial MC standards are available. Standard mass spectrometry workflows for known and unknown MCs need to be developed and validated for basic and applied harmful algal bloom research to advance. Our investigation focuses on samples taken in the spring of 2018 from an impoundment fed by Oser and Bischoff Reservoirs, Indiana, United States of America (USA). The dominant cyanobacterium found during sampling was Planktothrix agardhii. The goal of our study was to identify and quantify the MCs in the impoundment sample using chemical derivatization and mass spectrometry. Modifying these techniques to use online concentration liquid chromatography tandem mass spectrometry (LC–MS/MS), two untargeted MCs have been identified, [d-Asp3, Dhb7]-MC-LR and tentative [Dhb7]-MC-YR. [Dhb7]-MC-YR is not yet reported in the literature to date, and this was the first reported incidence of Dhb MCs in the United States. Furthermore, it was discovered that the commercially available [d-Asp3]-MC-RR standard was [d-Asp3, Dhb7]-MC-RR. This study highlights a workflow utilizing online concentration LC–MS/MS, high-resolution MS (HRMS), and chemical derivatization to identify isobaric MCs.
Evaluation of in Vivo Response of Three Biphasic Scaffolds for Osteochondral Tissue Regeneration in a Sheep Model
Authors: Crovace Alberto M. , Giancamillo Alessia Di , Gervaso Francesca , Mangiavini Laura , Zani Davide , Scalera Francesca , Palazzo Barbara , Izzo Daniela , Agnoletto Marco , Domenicucci Marco , Sosio Corrado , Sannino Alessandro , Giancamillo Mauro Di , Peretti Giuseppe M.
Published: November 2019

Osteochondral defects are a common problem in both human medicine and veterinary practice although with important limits concerning the cartilaginous tissue regeneration. Interest in the subchondral bone has grown, as it is now considered a key element in the osteochondral defect healing. The aim of this work was to generate and to evaluate the architecture of three cell-free scaffolds made of collagen, magnesium/hydroxyapatite and collagen hydroxyapatite/wollastonite to be implanted in a sheep animal model. Scaffolds were designed in a bilayer configuration and a novel “Honey” configuration, where columns of hydroxyapatite were inserted within the collagen matrix. The use of different types of scaffolds allowed us to identify the best scaffold in terms of integration and tissue regeneration. The animals included were divided into four groups: three were treated using different types of scaffold while one was left untreated and represented the control group. Evaluations were made at 3 months through CT analysis. The novel “Honey” configuration of the scaffold with hydroxyapatite seems to allow for a better reparative process, although we are still far from obtaining a complete restoration of the defect at this time point of follow-up.
Model Pengembangan Entrepreneurship dalam pemberdayaan ekonomi rumah tangga pada masyarakat melayu Rengat
Authors: Fitrio Tomy , Apriansyah Roky , Astarman Astarman
Published: November 2019

Fokus utama dari penelitian ini adalah untuk mengetahui kenapa perempuan ikut berdagang di pasar rakyat kota Rengat. Bagaimana keterkaitannya dengan jiwa entrepreneurship serta keterkaitan entrepreneurship dengan pemberdayaan ekonomi di Kabupaten Indragiri Hulu Propinsi Riau. Adanya perempuan yang ikut berdagang merupakan cikal bakal lahirnya entrepreneur lainnya di kota Rengat sekaligus memberikan sumbangsih terhadap pengembangan ekonomi di Kabupaten Indragiri Propinsi Riau pada khususnya dan ekonomi nasional secara umum. Model perkembangan jiwa entrepreneurship dimulai dari usaha kecil dan dilakoni oleh individual, kemudian melibatkan keluarga, berkembang ke arah perusahaan berskala kecil, usaha berskala menengah, dan perusahaan besar. populasi penelitian adalah perempuan yang ikut berdagang di pasar Rakyat Rengat sebanyak 97 orang dengan sampel 17 orang informan. Penelitian ini mengarah pada pendekatan kualitatif (qualitative approach), dengan informasi yang bersifat subyektif dan historis. Penelitian ini multi metode antara lain: (1) metode sejarah sosiologis dengan pendekatan studi riwayat hidup, untuk melihat keberadaan perempuan di pasar Rengat dan bagaimana terjadinya proses transfer jiwa enterprenuership baik secara value maupun knowledge yang terjadi ditengah keluarga perempuan pedagang dalam bentuk keluarga inti (nuclear family) maupun keluarga besar (extended family); (2) metode interpretative hermeneutik, ini berangkat dari asumsi bahwa aktifitas perempuan pedagang adalah suatu realitas yang sangat dipengaruhi oleh faktor-faktor seperti politik, sosial-kultural, sehingga dibutuhkan berbagai metode dalam mendekati fenomena yang ada.
Différentes stratégies d'observation d'une rencontre de football
Authors: Jabri Imed , Battikh Tahar , Ziyat Zaki Mourad , Radhouane Hechemi , Annabi Mohamed
Published: November 2019

Dans ce travail, nous développons différentes stratégies pour l'observation d'une rencontre de football utilisant différentes techniques suivant l'objectif visé. Les stratégies décrites sont : l'observation du jeu avec ballon, l'observation du joueur sans ballon, l'observation des duels. Suivant le cas, les configurations de matériel peuvent être : une tablette graphique, un réseau d'observateurs ou un matériel vidéo et informatique pour le traitement des séquences numériques.
Générateur d'outils d'observation pour les sports collectifs
Authors: Jabri Imed , Battikh Tahar , Ziyat Zaki Mourad , Radhouane Hechemi , Annabi Mohamed
Published: November 2019

Dans cet article, nous partons des expériences portant sur le développement d'outils d'observation des sports collectifs pour justifier, spécifier et concevoir un générateur d'outils de ce type pouvant s 'adapter à tous les sports collectifs et à toutes les exigences spécifiques des techniciens. Dans la phase de justification et de spécification, nous avons utilisé la méthode d'analyse SADT qui nous a permis d 'une part de dégager les invariants entre différentes disciplines sportives et, d'autre part, d'aboutir à la structure du générateur. Dans la phase de validation, nous avons appliqué l'outil ainsi réalisé au football et au basket-ball.
Sujeto y conocimiento de sí. Traducción y comentario de dos textos de Pedro de Juan Olivi
Authors: Anchepe Ignacio
Published: November 2019

Estas páginas se proponen presentar la traducción comentada de dos textos de Pedro de Juan Olivi, franciscano provenzal del s. XIII; el primero es el artículo 19 de la Impugnatio quorundam articulorum Arnaldi Gallardi, y el otro es la cuestión 76 de sus Quaestiones in secundum librum Sententiarum. La traducción conjunta de estos textos se justifica por su afinidad temática, pues ambos se refieren a un mismo problema, el que los escolásticos acostumbraron presentar bajo el título “Si el alma se conoce a sí misma por esencia o por especie”; por otra parte, la crítica reciente encontró en ellos indicios de una concepción naciente de sujeto moderno. Luego de presentar someramente cada texto y de algunos datos biográficos imprescindibles de su autor, ofreceré las traducciones. Agregaré solo algunas notas al pie –las necesarias para facilitar la comprensión– y pospondré para el final el análisis de las cuestiones filosóficas, que volcaré en cuatro notas complementarias.
Leskov’s rewriting of Lady Macbeth and the processes of adaptation and appropriation
Authors: Bellmunt-Serrano Manel
Published: November 2019

This article tries to provide a thorough analysis of Nikolai Leskov’s rewriting of Lady Macbeth, the Shakespearean character, in the novella Lady Macbeth of the Mtsensk District, from the perspective of Translation and Adaptation Studies. The focus will be placed on the ideology of the author who, with full knowledge, rewrites a previous work to adapt it to a specific context. Apart from Leskov’s work, attention will be also paid to two of its subsequent adaptations: Dmitri Shostakovich’s homonymous opera and William Oldroyd’s filmic version, Lady Macbeth. Finally, the importance of these processes for the development of target literary systems will be discussed and emphasized.
Panduan Menulis Artikel Akademik
Authors: Setiawan Adib Rifqi
Published: November 2019

Catatan ini ditulis sebagai panduan kasar menulis artikel akademik, untuk semua orang dari beragam latar belakang yang memiliki keinginan menerbitkan artikel dengan format akademik seperti melalui jurnal dan/atau terlibat kolokium.
Przez gryzmolenie do kultury wizualnej. Książka Jana Bajtlika Typogryzmol jako narzędzie wspierania kompetencji wizualnych dziecka
Authors: Ludwiczak Joanna S
Published: November 2019

Obrazkowy charakter współczesnej kultury zainicjował sygnalizowany przez coraz większą liczbę badaczy postulat pilnej potrzeby kształcenia kompetencji wizualnych już od najmłodszych lat. Do otoczenia dziecka trafia ogromna ilość bodźców wizualnych, wśród których mieszają się różne jakości wizualne: infantylne wzorce i wartościowe artefakty. Celem artykułu jest próba interpretacji formalno-treściowej książki Jana Bajtlika Typogryzmol jako przykładu sztuki dla dzieci wprowadzającej odbiorcę w świat kultury wizualnej. Jakościowa analiza wybranych cech książki aktywnościowej przeprowadzona została metodą interpretacji kompozycyjnej wywodzącej się z krytycznej metodologii badań nad wizualnością. Na podstawie koncepcji Gilian Rose odniesiono się do wybranych zagadnień z obszaru samej książki jako obiektu sztuki, a także niektórych aspektów z obszaru jej wytwarzania (w szczególności kontekst autora) oraz odbiorczości (potencjalne znaczenie). Wnioski przeprowadzonej interpretacji odwołują się do waloryzacji książki aktywnościowej w kontekście jej doświadczania przez dziecko.
Specificity of managing local budgets’ own revenues in the context of financial decentralization
Authors: Martynenko Valentyna
Published: November 2019

Introduction. Decentralization reform in Ukraine has been implemented since 2014. It aims at transferring some of the powers of central government to the communities. The reform of decentralization in the financial sphere should ensure the financial autonomy of territorial-administrative units. Therefore, the analysis of the main factors influencing the management of own revenues of local budgets is especially relevant. Research purpose is to investigate the specifics and features of managing the own revenues of local budgets of Ukraine under conditions of financial decentralization. Methods. Several research methods are used in the article. These are: comparative analysis – to rank own revenues of consolidated regional budgets by volume; factor analysis – to identify and select factors of influence on the formation of own revenues of local budgets; regression analysis – to formalize the influence of certain factors on the dynamics of own revenues of consolidated regional budgets. Results. It is proved that the basis of the community’s financial autonomy in the context of financial decentralization is provided by broad powers to manage the formation of its own revenues to its budget. It was established that in 2017 compared with 2014, own revenues of local budgets of Ukraine increased by 2.3 times, including as a result of financial decentralization. It is proved that, by decentralizing the management of own revenues of local budgets, central government bodies, expanding the financial powers of administrative-territorial units, should ensure the growth of citizens’ well-being, fairness in the regional distribution of incomes, and slowdown of labor immigration. Conclusions. The obtained results make it possible to form the basis for the development of the main scenarios of forecasting the financial autonomy of the local budgets of Ukraine in their regional context. Further scientific researches of the author will be devoted to it.
Integration of resources and regeneration of the biosystem in the concept of development of circular economy
Authors: Zvarych Roman , Zvarych Iryna
Published: November 2019

Introduction. The scale of the risks, threats, and consequently the challenges of reducing and improving the efficiency of waste management, provides significant business opportunities. The circular system enables efficient movement of materials, energy, labor and information for the purpose of restoring natural and social capital. The circular economy should be part of efforts to boost economic development, overcome wasteful consumption and reduce undemocratic power structures in the global economy. Hence, the topic is relevant and needs appropriate research.

Purpose. The purpose of the article is to research the biophysical environment of the circular system, the level of integration of resources and the regeneration of the biosystem in the concept of development of the circular economy.

Methods. Research methods of problems related to the concept of circular economy development are based on general and specific methods of studying economic processes, phenomena and facts concerning the integration of resources and regeneration of the biosystem. This research uses monographic and graphical methods, methods of system analysis, systematization, classification, logical, theoretical and generalizations (in research the integration of resources and regeneration of the biosystem in the concept of development of circular economy).

Results. The world economy meets the demand of the population in all continents at affordable prices, which gives consumers a much higher level of material comfort. The manufacturing industry transforms resources into an extremely large number of products and uses natural resources to produce waste products at the first need. It is relevant to break the product life cycle chain: “raw material-product-dust” and to change the linear economy. The basis for a new system – alternative to linear economy can be system that base on three principles: design waste and pollution; save products and materials in use; regeneration of the natural system. The circular economy is a systematic approach to economic development that can benefit business, society and the environment. The authors believe that, unlike the linear “raw material-product-dust” model, the circular economy model is regenerative in design and aims to gradually reduce the growth effect of the consumption of scarce resources. Accordingly, the circular approach provides systematic changes of everyone and everything: enterprises, governments and individuals; cities, products and jobs.

Discussion. Further scientific researches of circular economy concept development, integration of resources, biosystem regeneration, evaluation of circular business models should be based on the current national and foreign methodology and organization of evaluation of the circularity of economy, its concepts and variations. Further studies should widely apply methods of operational and strategic forecasting and modelling of the enterprise waste management system, etc.
Object recognition on video from camera to computer
Authors: Cherednyk Oleksandr , Miłosz Elżbieta
Published: November 2019

The goal is to determine the effectiveness of object detection in a video using the camera for the computer. In the course of work studied and described the main methods of recognition of objects in the image, namely the use of artificial neural networks and techniques of Viola-Jones. For the study, based on the method of Viola-Jones, implemented the application for object recognition in video, as this method is effective for solving this problem. With this application, a study was conducted to determine the effectiveness of the method of viola-Jones to detect objects in the video.
Efficiency of creating application’s presentation layer with frameworks AngularJS, Angular2, BackboneJS
Authors: Tobiańska Monika , Smołka Jakub
Published: November 2019

This article is focused on comparative analysis of three frameworks to create presentation layer of application. Three analysis have been conducted on two browsers, Google Chrome and Mozilla Firefox. Code complexity, the speed of view rendering, the smoothness of working of overstretched application, the amount of sent data needed to start application and the amount of memory used by application depending on the number of elements on list was took into consideration. In research purposes TodoMVC applications made with AngularJS, Angular2 and BackboneJS were used. Conducted experiments shown that Angular2 in Google Chrome achieve the best result. BackboneJS was the winner in Mozilla Firefox.
Comparison of object-relational data mapping technology in Symfony 3 framework
Authors: Sawłuk Karol , Miłosz Marek
Published: November 2019

The article presents the results of a comparative analysis of object-relation mapping technologies in the framework Symfony 3: Doctrine and Propel. The analysis was performed in terms of script execution speed and memory usage during database operations. The analysis allowed to identify the technology with faster and more efficient algorithms. Doctrine is up to three times faster than Propel.
Performance analysis of relational databases Oracle and MS SQL based on desktop application
Authors: Dziewit Grzegorz , Korczyński Jakub , Skublewska-Paszkowska Maria
Published: November 2019

Comparison of efficiency is not a trivial phenomenon because of disparities between different database systems. This paper presents a methodology of comparing relational database systems in respect of mean time of execution individual DML queries containing subqueries and conjunction of tables. The presented methodology can be additionally accommodated to studies of efficiency in a range of database system itself (study of queries executed directly in database engine). The described methodology allows to receive statement telling which database system is better in comparison to another in dependency of functionalities fulfilled by external application. In the article the analysis of mean time of execution individual DML queries was performed.Two research hypotheses have been put forward: "Microsoft SQL Server database system needs less time to execute INSERT and UPDATE queries than Oracle database" and "Oracle database system needs less time to execute DML queries with binary data than SQL Server"
Possibility analysis of environmental threat monitoring with the Arduino platform
Authors: Lenart Krzysztof , Plechawska-Wójcik Małgorzata
Published: November 2019

The paper describes results of the possibility analysis of environmental monitoring and detection threats with the Arduino platform. Sensors compatible with Arduino enabling environmental monitoring were used to conduct research. The research consisted in monitoring environmental parameters, monitoring among others air temperature and humidity, sound level or gases harmful to health., Capabilities of the platform have been analyzed based on the obtained results.
Synthesis and Characterisation of B4C reinforced Al6061 Friction Stir Processed Surface Composites
Authors:   Department of Mechanical Engineering, Karunya Institute of Technology and Sciences, Coimbatore, India., Mohanasundaram* S. , Vijay S. J. ,   Department of Mechanical Engineering, Karunya Institute of Technology and Sciences, Coimbatore, India., Rai Rajakumar S ,   Department of Mechanical Engineering, Karunya Institute of Technology and Sciences, Coimbatore, India., Franklin D. Emmanuel Sam ,   Department of Mechanical Engineering, Karunya Institute of Technology and Sciences, Coimbatore, India.
Published: November 2019

Current industrial trends show increased usage of lightweight high strength materials such as Aluminium, Titanium, Magnesium, etc., in their products and components. To achieve an improved service life, particulates reinforced metal matrix composites are being favored over the monolithic alloys. Researchers have reported undesirable defects and interfacial reactions while trying to fabricate such composites using conventional methodologies. This motivates the present work to use friction stir processing, an allied process of friction stir welding, to fabricate metal matrix composites. Structurally stable and most commonly used AA6061 alloy was taken for the experiment. B4C particles were used as reinforcements. Experiments were carried out using different process parameters like tool revolution and tool traverse speed or processing speed along with a constant axial force. The B4C particles were packed into a 1.5 mm groove on the Al6061 plate and friction processing was carried out. The SEM investigations on the composites showed a defect-free microstructure with a homogeneous distribution of reinforcement particles. It was found that the reinforcements increased the tensile strength of the composite by 50%. The hardness and wear-resistant properties of the composites had also improved considerably.
File Format s for Big Data Storage Systems
Authors:   Department of Computer Science, Jamia Millia Islamia, New Delhi, India., Khan* Samiya , Alam* Mansaf ,   Department of Computer Science, Jamia Millia Islamia, New Delhi, India.
Published: November 2019

Big data is one of the most influential technologies of the modern era. However, in order to support maturity of big data systems, development and sustenance of heterogeneous environments is requires. This, in turn, requires integration of technologies as well as concepts. Computing and storage are the two core components of any big data system. With that said, big data storage needs to communicate with the execution engine and other processing and visualization technologies to create a comprehensive solution. This brings the facet of big data file formats into picture. This paper classifies available big data file formats into five categories namely text-based, row-based, column-based, in-memory and data storage services. It also compares the advantages, shortcomings and possible use cases of available big data file formats for Hadoop, which is the foundation for most big data computing technologies. Lastly, it provides a discussion on tradeoffs that must be considered while choosing a file format for a big data system, providing a framework for creation for file format selection criteria.
Implementation of PV Based Multiplier Boost Converter Fed by PMSM
Authors:   Department of EEE, M. Kumarasamy College of Engineering, Karur, Tamil Nadu, India., Jayakumar V. , Sachinamreiss GN. ,   Department of EEE, M. Kumarasamy College of Engineering, Karur, Tamil Nadu, India., Karthikeyan R. ,   Department of EEE, M. Kumarasamy College of Engineering, Karur, Tamil Nadu, India.
Published: November 2019

The proposed system is very useful for the agricultural system. The converter topology used here is Multiplier Boost Converter which will enhance better voltage gained from the input source which is solar PV. Now the PV can able to produce 80V which is boosted upto 285V through the converter. The inverter design is quite easy such that it is possible to drive a PMSM motor. The controller is not necessary here as the voltage produced by the DC-DC converter is quite reliable. So this might find application in water pumping and electric vehicles.
Determining the Yield of the Crop using Artificial Neural Network Method
Authors:   student in Dept of Computer Science & Engineering at SRM Institute of Science & Technology, Ramapuram., Rajan Ritesh Kumar , Nandi Priyasha ,   student in Dept of Computer Science & Engineering at SRM Institute of Science & Technology, Ramapuram., Chauhan Yugit ,   student in Dept of Computer Science & Engineering at SRM Institute of Science & Technology, Ramapuram., Jagadeesan Dr. J ,   professor in in Dept of Computer Science & Engineering at SRM Institute of Science & Technology, Ramapuram.
Published: November 2019

The agricultural system is complex and comprehend since it deals with large data that comes from several factors. Lot of techniques and have been used to identify any interactions between factors affecting yields with crop performance. The major objective of this paper is to help us predict the yield of a particular crop before even cultivating it for its production. We are using artificial neural networks for forwarding and implementing a system that will help the farmers in finding their crop yields according to their given data as input in the system and the system will give output based on previous data. The method used in this crop yield system is an artificial neural network and the algorithm used is feed forward and back propagation. Provide the input of data sets and the desired outcome of the system. Compute the error between the actual and desired outcome of the system. Amendment of the weight associated with different inputs and different functions. Compare the errors and the tolerance ratio of the output. Various machine learning techniques have been used in the past for calculating the crop yield using remote data. However, these methods are less useful and effective for predicting the yield of maize and for some other crops, which is cultivated at different times in various fields.The major application of this crop yield system is that it will help us to predict the yield before even cultivating it by studying the previous data collected such as soil fertility, pH level.
Role of Social Media in Customer Buying Behavior
Authors:   Research Scholar (Part-Time), Yogi Vemana University, YSR Kadapa-516005, Andhra Pradesh, Mazeed Shaik Abdul , Chandra Dr. Mahesh ,   Associate Professor, Dr. B. R. Ambedkar Institute of Management and Technology, Baghlngampally Hyderabad-500044, Telanagana, Mohan G. Murali ,   Associate Professor, Dr. K.V. Subba Reddy School of Business Management, Kurnool-518218, Andhra Pradesh, Babu Vunnam Hari ,   Research Scholar (Part-Time), Yogi Vemana University, YSR Kadapa-516005, Andhra Pradesh
Published: November 2019

Social media has become an inseparable part of human life. It allows customers and prospects to communicate directly about various products/services with their friends. This is just a replacement of word of mouth, which place a vital role and cheapest way of promoting product in traditional marketing. The other important and unique feature of social media is immediacy, which allows the customers to approach directly with the business people. Indeed it is helpful to both business people and customers as they can get the solutions with in no time unless it is a big damage. With the process, business people can maintain a sound relationship with the customers very easily as they are responding to their queries instantly. It is nothing but customer relationship management. It is another pivotal element in marketing. All these features will influence the customers a lot in making their purchase or buying decisions. Consumer behavior is the study of when, why, how, and where people do or do not buy product. It blends elements from psychology, sociology, social anthropology and economics. It attempts to understand the buyer decision making process, both individually and in groups. The customer buying or purchasing behavior is an evergreen marketing concept despite ample research has been done on the topic over last few decades. It would be an exaggeration, if we say without covering this concept no marketing text book will complete, that’s the significance of this particular concept. One cannot imagine a marketing book without finding a concept of customer buying behavior. Usually a customer buying behavior will be influenced by a set of internal and external factors like social, economical or financial, cultural, demographic, psychological and of course personal factors. In this day and age, online marketing, social media marketing, digital marketing are buzz words and strongly influencing the customer behavior and in making purchase decisions subsequently.
An Efficient Bayes Classifiers Algorithm for Traceability of Food Supply Chain Management using Internet of Things
Authors:   Ph.D., Research Scholar, Department of CSE, Annamalai University, Chidambaram. Tamilnadu, India, Balamurugan* S , Ayyasamy A ,   Department of CSE, FEAT, Annamalai university, Chidambaram, Tamilnadu, India, Joseph K Suresh ,   Department of Computer Science, Pondicherry University, Puducherry. India.
Published: November 2019

The conventional Food Supply Chain Management (FSCM) faces a variety of provocation such as ambiguity, security, cost, complication and quality concerns. To resolve these issues, supply chain must be precise. A challenging assignment in today’s food industry is distributing the high quality of foods throughout the supply chain management. In this paper, proposes an efficient Bayes Classifiers Algorithm which integrated with FSCM using Internet of Things (IoT) to allow tracking, tracing and managing the entire process of food supply chain such as supplier, exporter and customers. The objective of this paper is to determine the food safety and to optimize chronological data produced to analyze the effective possibility of future assump- tions. It also aims to foods carrying from the manufacturers to the customers with help of IoT technologies to bond the producer to the customer with delivery of high class of food products. IoT based Food Supply Chain Traceability is utilized t o data transaction effectively with indeterminate, uncertain and insufficient information. So the proposed efficient Bayes Classifiers Algorithm will be capable to overcome all provocation of conventional supply chain and afford secure background and food safety for FSCM process using IoT technology.
Verifying Fuzzy Keyword Search Over Cipher Text in Cloud Computing
Authors:   Assistant Professor, Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India., Ebenezer* Ms. P. Adlene , Pasayat Sweta ,   UG Scholar, B. Tech, Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India., Sunan Sunny ,   UG Scholar, B. Tech, Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India.
Published: November 2019

To enhance the potency of knowledge looking out, most knowledge house owners store their knowledge files in numerous cloud servers within the kind of ciphertext. Thus, economical search victimization fuzzy keywords become a vital issue in such a cloud computing atmosphere. Searchable cryptography will support knowledge user to select and retrieve the cipher documents over encrypted cloud knowledge by keyword-based search. Most of the prevailing searchable encryption schemes solely specialize in the precise keyword search. When knowledge user makes writing system errors, these schemes fail to come to the results of interest. In searchable encryption, the cloud server may come to the invalid result to knowledge user for saving the computation price or alternative reasons. Therefore, these precise keyword search schemes notice very little sensible significance in real-world applications. So as to deal with these problems, we tend to propose unique verifiable fuzzy keyword search theme over encrypted cloud knowledge. We tend to propose a verifiable precise keyword search theme which extend this theme to the fuzzy keyword search theme. Here we tend to thus propose a system for fuzzy keyword sets rather than precise word search. This will help us drastically to reduce the costs and it also allows to have multi-users using the system simultaneously.
A BrainNet Classification Technique Based on Deep Convolutional Neural Network for Detection of Brain Tumor in FLAIR MRI Images
Authors:   Research Scholar, Bharathiar University, Coimbatore, India., Manoj* T.H. , Gunasekaran M. ,   Assistant Professor of Computer Science, Government Arts College, Dharmapuri, India, Jaisingh W. ,   Assistant Professor (SRG) of Computer Applications, Kumaraguru College of Technology, Coimbatore, India.
Published: November 2019

Classification process plays a key role in diagnosing brain tumors. Earlier research works are intended for identifying brain tumors using different classification techniques. The logical gap between the visual representation of data captured by MRI device and the information apparent to the person evaluating poses a key challenge in the medical field. Research in computerized segmentation of tumor is widely gaining popularity nowadays, which may lead to an accurate analysis of MRI images and planned treatment of patients. The recent field of deep learning and neural networks promises to classify images with higher accuracy. This work proposes a new BrainNet classification technique that combines fuzzy c means, morphological operators and CNN to identify image regions that are suspicious. The proposed method is assessed with the help of imaging data obtained from Multimodal Brain Tumor Image Segmentation Challenge (BRATS) 2015 and IXI dataset. The effectiveness of the proposed method is computed with traditional machine learning and Convolutional Neural Networks. Experimental results show that our proposed method outperforms state-of-the-art classification on the BRATS 2015 dataset.
Preliminary Design a nd Packaging of Two Passenger Micro Electric Vehicle ( MEV
Authors:   Mechanical Section, Universiti Kuala Lumpur Malaysian Spanish Institute, Kulim Hi-Tech Park, 09000, Kulim, Kedah., Razak* Tajul Adli Abdul , Noor Aisyah Nasuha Mohd ,   Student, Bachelor of Engineering Technology (Hons) in Mechanical Design, Universiti Kuala Lumpur Malaysian Spanish Institute, Kulim Hi-Tech Park, 09000, Kulim, Kedah., Razak Mohamad Yusuf ,   Head of Workshop Section, Universiti Kuala Lumpur Malaysian Spanish Institute, Kulim Hi-Tech Park, 09000, Kulim, Kedah., Ibrahim Mohd Riduan bin ,   Manufacturing Section, Universiti Kuala Lumpur Malaysian Spanish Institute, Kulim Hi-Tech Park, 09000, Kulim, Kedah., Ismail Nurhuda Binti ,   Lecturer, Politeknik Tuanku Sultanah Bahiyah, Kulim Hi-Tech Park, 09000, Kulim, Kedah., Krishnan Pranesh ,   Intelligent Automotive Systems Research Cluster, Electrical Electronic and Automation Section, Universiti Kuala Lumpur Malaysian Spanish Institute, Kulim Hi-Tech Park, 09000, Kulim, Kedah
Published: November 2019

This project titled Preliminary Design And Packaging Of Two Passenger Micro-Electric Vehicle focusses on the 5th percentile for women and the 95th percentile for men drivers. A micro electric vehicle (MEV) is a vehicle controlled by an electric engine, rather than an inside ignition motor. This project produces packaging design of two passenger MEV according to the Economic Commission of Europe (ECE) regulation and purpose for 3D modeling. There are two software of CAD has been made by using this project which is Solidworks and Catia. The sizing of manikin has used the sizing of United Kingdom to follow the requirement of ECE regulation. Meanwhile, to calculate the posture of manikin is used concept RULA and REBA. The sizing of height structure was added because of the 95th men driver can’t enter the car.
Antiwear Performance Evaluation o f Halloysite Nanotube ( HNT ) Filled Polymer Nanocomposites
Authors:   Research Scholar, Department of Mechanical Engineering, ATME College of Engineering, Mysore, Karnataka, 570028, India, G* Ravichandran , G Rathnakar ,   Professor & HOD, Department of Mechanical Engineering, ATME College of Engineering, Mysore, Karnataka, 570028, India., N Santhosh ,   Assistant Professor, Department of Mechanical and Automobile Engineering, CHRIST (Deemed to be University), Mysore Road, Bengaluru, Karnataka, 560074, India., R Thejaraju ,   Assistant Professor, Department of Mechanical and Automobile Engineering, CHRIST (Deemed to be University), Mysore Road, Bengaluru, Karnataka, 560074, India.
Published: November 2019

Polymer nanocomposites containing various types of reinforcements and fillers are oftenly used in applications such as sliding elements in the machine and automotive parts, gear assemblies etc., in which tribological performance parameters viz. friction and wear are the major issues. In this work, the specific wear rate of HNT filler loading (0-4wt %) in Glass-Epoxy nanocomposites fabricated by vacuum bagging technique are evaluated experimentally. For this purpose, the specimens are prepared and tests are conducted as per the ASTM G-99 standard for a number of trials with the assistance of a pin-on-disc machine by varying load and speed values, keeping time and track diameter constant. The results obtained from experiments reveals that reduction in specific wear rate and the amount of material loss is quite significant for HNT loaded specimens when compared with neat sample even at higher operating conditions. This indicates that HNT comprises of hard ceramic elements viz. SiO2 and Al2O3 which eventually enhances the antiwear behaviour of prepared nanocomposites. Finally, a study on wear mechanisms and morphologies are carried out by analyzing the worn surfaces through SEM micrographs.
MBTI Based Personality Prediction o f a User Based o n Their Writing o n Social Media
Authors:   Computer Science and Engineering, SRM institute of science and technology, Chennai, India., Gupta* Neha , Madhavan Anirudh ,   Computer Science and Engineering, SRM institute of science and technology, Chennai, India., Duvvuri Divya ,   Computer Science and Engineering, SRM institute of science and technology, Chennai, India.
Published: November 2019

The undeniable power that various e-commerce and streaming websites exert on their users’ in terms of what they buy and what they watch is unquestionable, so the creation of better targeted advertisements and recommender systems is the need of the hour. Prediction of a person’s personality can be the key for the achievement of these goals. A novel way to understand the various facets of a person’s personality is by analyzing their MBTI (Myers–Briggs Type Indicator). This paper aims at classifying a user into any one of the sixteen personality types, defined by MBTI, through the use of natural language processing (NLP) and support vector machine (SVM) which was implemented on the MBTI dataset. Since the original dataset is unevenly distributed, SVM has been applied to the original dataset and an under sampled version of the MBTI dataset. The highest accuracy rate of 78.52% for the traits (thinking/feeling) was achieved in the original dataset whereas for the under sampled dataset it was 60.2% for the traits (judging/perceiving).
Author Profiling u sing Stylistic a nd N Gram Features
Authors:   Department of CSE, Malla Reddy College of Engineering and Technology, Hyderabad, India., D* Radha , P Chandra Sekhar ,   Department of CSE, GITAM, Visakhapatnam, India.
Published: November 2019

The World Wide Web is increasing tremendously with massive amount of textual content primarily through social media sites. Most of the users are not interested to upload their genuine details along with textual content to these sites. To identify the correct information of the authors the researchers started a new research area named as Authorship Analysis. The authorship Analysis is used to find the details of the authors by examining their text. Authorship Profiling is one type of Authorship Analysis, which is used to detect the demographic characteristics like Age, Gender, Location, Educational Background, Nativity Language and Personality Traits of the authors by examining writing skills in their written text. Stylometry is one research area defines a set of stylometric features namely word based, character based, syntactic, structural and content based features for differentiating the author’s writing styles. In this work, the experimentation conducted with various stylistic features, N-grams and content based features for gender prediction. These features are used for representing the vectors of documents. The classification algorithms produce the model by processing these vectors. Two classification algorithms namely Random Forest, Naïve Bayes Multinomial were used for classification. We concentrated on prediction of Gender from 2019 Pan Competition Twitter dataset. Our approach obtained best accuracies when compared with many Authorship Profiling approaches.
Characterization of Calcia Stabilized Zirconia as a solid E lectrolyte M ade through a sol gel M ethod in Solid Oxide Fuel Cell
Authors:   Professor, Department of Mechanical Engineering, Institut Teknologi Nasional, Bandung, Indonesia., Nurbanasari* M. , Syarif D.G. ,   Nuclear Technology Center for Materials and Radiometry (PTNBR), BATAN, Bandung, Indonesia, Nurizki  ,   student Department of Mechanical Engineering, Institut Teknologi Nasional, Bandung, Indonesia., Irwan Y. ,   Associate Professor, Department of Mechanical Engineering, Institut Teknologi Nasional, Bandung, Indonesia
Published: November 2019

Solid Oxide Fuel Cell (SOFC) is a solid-state energy conversion device which produces electricity through the conversion of chemical energy directly to electrical energy. The research was carried out to characterize Calcia Stabilized Zirconia (CSZ) that was made using sol gel method. In this study, the production of CSZ pellets consisted of three steps. First step was the extraction of ZOC (ZrOCl28H2O) and second step was the production of Zr(OH)4 and the last step was dissolution of ZrOH4 into HCl and then adding CaO to get CSZ powder. The CSZ powder was then pressed to form pellets, followed by sintering at 1200 oC for 3 hours. The characterization was conducted using X ray diffraction to analyze the presence of impurities as well as the formation of cubic phase and scanning electron microscope was used to observe the pores in the microstructure. From the XRD data and SEM analysis, it can be concluded that the Calcia Stabilized Zirconia as a solid electrolyte in SOFC using sol gel method gave promising results.
The Performance on Slope Number of Hypercube, Normal Representation of Butterfly and Benes Networks
Authors:   Department of Mathematics,Sathyabama Institute of Science and Technology, Chennai, India, Mary A.Antony , Amutha A. ,   Department of Mathematics,The American College, Madurai, India
Published: November 2019

Many quality measures have been defined for graph drawings. In order to optimize these measures, slope number is considered to minimize the distinct edge slopes. The edges of the graphs are designed here as straight line segments. A number of distinct slopes required to draw the graph is called slope number. In this paper the slopenumber is discussed for known parallel architectures like hypercube, butterfly and benes networks. In addition to that the characterization of these networks is investigated and the results are observed for the defined problem.