bluuebunny/crossref_metadata_2025 huggingface dataset:
Sustainable Implications of Industry 4.0
Authors: Tarifa-Fernández Jorge
Published: April 2019

Industry 4.0, and in general, digital technologies, represent a fundamental model shift towards decentralization and individualized production. With this, the development of new services and business models based on the internet is encouraged. Somehow, this forces traditional supply chains to evolve into highly adaptative networks. Companies have to consider their internal resources and the benefits of getting closer to partners in the supply chain. In this sense, the implementation of these technologies is accompanied by a series of sustainable implication at economic, environmental, and social levels.
Towards a Classification Framework for Concepts of Innovation for and From Emerging Markets
Authors: Albert Martin , Huesig Stefan
Published: April 2019

A closer look at innovation for and from emerging markets reveals that a variety of different terms and concepts related to this type of innovation exist. The objective of this conceptual work is to develop a theoretical classification framework based on a comprehensive literature overview that provides a starting point for structuring these different terms and concepts. After a first investigation and comprehensive search for the keywords “reverse,” “frugal,” “jugaad,” and “bottom of pyramid” in the Google Scholar database, 19 different texts were identified and classified for further analysis. As a result, 33 identified terms concerning innovation for and from emerging markets, various spellings and synonyms are presented. Finally, a theoretical-based classification framework is derived and the criteria “market orientation,” “determinants,” “nature,” “sophistication,” “sustainability,” “novelty,” and “innovator type” was proposed. This classification framework could be used for further research and teaching in innovation, responsible, and sustainable management disciplines.
Application of Deep Learning in Speech Recognition
Authors: Janghel Rekh Ram , Sahu Satya Prakash , Rathore Yogesh Kumar , Singh Shraddha , Pawar Urja
Published: April 2019

Speech is the vocalized form of communication used by humans and some animals. It is based upon the syntactic combination of items drawn from the lexicon. Each spoken word is created out of the phonetic combination of a limited set of vowel and consonant speech sound units (phonemes). Here, the authors propose a deep learning model used on tensor flow speech recognition dataset, which consist of 30 words. Here, 2D convolutional neural network (CNN) model is used for understanding simple spoken commands using the speech commands dataset by tensor flow. Dataset is divided into 70% training and 30% testing data. While running the algorithm for three epochs average accuracy of 92.7% is achieved.
Malware Classification and Analysis Using Convolutional and Recurrent Neural Network
Authors: Maleh Yassine
Published: April 2019

Over the past decade, malware has grown exponentially. Traditional signature-based approaches to detecting malware have proven their limitations against new malware, and categorizing malware samples has become essential to understanding the basics of malware behavior. Recently, antivirus solutions have increasingly started to adopt machine learning approaches. Unfortunately, there are few open source data sets available for the academic community. One of the largest data sets available was published last year in a competition on Kaggle with data provided by Microsoft for the big data innovators gathering. This chapter explores the problem of malware classification. In particular, this chapter proposes an innovative and scalable approach using convolutional neural networks (CNN) and long short-term memory (LSTM) to assign malware to the corresponding family. The proposed method achieved a classification accuracy of 98.73% and an average log loss of 0.0698 on the validation data.
Recommendations to Enhance Communication With Users Through Prototypes and to Assist Open Innovation
Authors: Bertolini dos Santos Thiago , Olivan Luiza de Castro , Carvalho Luísa Cagica , Ricz Lílian Neto Aguiar , Hornos da Costa Janaina Mascarenhas
Published: April 2019

Innovation has been increasingly becoming a major competitive differential for companies. However, innovation alone is not enough. Innovations encompass new products to new business models, but they need well-defined strategies to deliver value according to the market needs and to be well accepted. Innovations looking at differentials for the users should consider their problems, including products and services, so that they can promote solutions to meet the users' expectations. Therefore, the involvement of stakeholders in the innovation process who are beyond the organisation's frontiers, such as users, is important as it allows the inclusion of new abilities, resources, and knowledge in the process of development.
The Multiculturalility Issue on Globalization
Authors: Vieira Elsa Cristina
Published: April 2019

The globalization of markets emphasize the entrepreneurship phenomenon. Cantillon is identified as one of the pioneers in the subject. In this chapter, the authors work this subject in the field of sociology, focused on agency and structure pleadings, understandable as a human action, which starts from a rational choice and with an action sociology. Based on a doctoral research carried out with the objective of identifying the profile of women entrepreneurs, this chapter seeks to stylize some material that was left open in the empirical elements collected, namely the role of entrepreneurial immigrant communities in the Algarve region and the interculturality present in the behaviors observed.
Statistical Resultant Analysis of Psychosomatic Survey on Various Human Personality Indicators
Authors: Rastogi Rohit , Chaturvedi Devendra Kumar , Sharma Pallavi , Yadav Vishwas , Chauhan Sumit , Gulati Muskan , Gupta Mayank , Singhal Parv
Published: April 2019

Machines are getting intelligent day by day. Modern science has gifted us many boons but simultaneously the mental, physical and spiritual disorders have surprisingly disturbed smile, peace and definite attitude and lifestyle of individual and all human beings. The stress has been the biggest challenge against mankind like nuclear weapons, global warming, and epidemics. It leads towards tension, frustration, and depression and ultimately in extreme cases towards the suicide or murder of innocents. The happiness index, safety of individual, living parameters have drastically challenged us and India specially has pathetic situation among global quality of life (QoL) index. This chapter is an effort to define a simulated model and framework for the subjective quality of stress into quantitative parameters and mathematically analyzing it with help of popular machine learning tools and applied methods. Using machine intelligence, authors are trying to establish a framework which may work as an expert system and may help the individual to grow self as better human being.
Skill Development, Skill Premium, and Technological Change
Authors: Sharma Harshil
Published: April 2019

This chapter looks to analyze three aspects skill: premium or wage incentive, existence of skill-biased technical change, and problems with current vocational training programs prevailing in India. All these three aspects will be analyzed with a gender-based approach specifically looking at female outcomes in comparison to male outcomes. This study would also throw some light on why labor force participation rate has been low in the case of females in India. Using NSSO data, it is found that skill premium was falling for women in labor-intensive sectors and rising in capital-intensive sectors, but it had no major effect on skill premium of total workforce due to low female labor force participation rate. Overall skill premium is stagnant for total workforce, and capital skill complementarity is not present in case of Indian economy. Movement of labor in Indian economy has been from one unskilled sector (agriculture) to another unskilled sector (construction). The study also finds that the major reason behind skill development system being supply driven is lack of involvement of the private sector financially.
The Contribution of Part-Time Work Experience to Pre-Service Teachers' Development of Graduate Employability
Authors: Nghia Tran Le Huu , Yen Phuong Hoang , Huong Tran Le Kim
Published: April 2019

Work-integrated learning (WIL) has been found to be effective in developing graduate employability. Working part-time while undertaking undergraduate studies may produce similar effects; however, its contribution to the development of students' employability has not yet been examined adequately. Therefore, this chapter will report a study investigating 22 Vietnamese pre-service teachers' experiences of how working as teaching assistants in commercial English language centers has contributed to their employability. Content analysis of semi-structured interviews revealed that part-time work experience elevated the pre-service teachers' specialized knowledge and skills, equipped them with soft skills, expanded their social networks, enhanced their adaptability to different work cultures, and modified their teacher identity. The chapter calls for universities to award credits for part-time work experience as a type of WIL, develop a mechanism for integrating it into curricula, and help graduates evidence their work experience to their future employers.
Potentials of Reflection for Better Practice
Authors: Marienau Catherine Anne , Marienau Catherine Anne
Published: April 2019

This chapter describes how adult learners in competency-based degree programs learn to reflect actively on their learning and performance. Vignettes of adult learners portray what they perceive as the benefits of reflective practice for their personal and professional lives. The author, an adult educator, shares her experience facilitating reflection in two different contexts: reflection that focuses on the individual and reflection that is done in collaboration with others. In the context of competency-based programs, many of the adult learners emphasize reflection on self that includes movement to social action. The chapter concludes with a discussion of reflective practice with regard to frameworks of experiential learning and brain-aware learning.
The Moment I Realized I Had to Give Back by Teaching
Authors: McPhee Deborah
Published: April 2019

The author provides insight into surviving a traumatic, life-altering experience and returning to school to finish attaining a degree later in life. Completing the process of gaining a higher education can be more than simply rewarding, for a survivor, for someone older than the average student, or for someone simply searching for their place in life. The journey can help people recover, overcome obstacles and fears, and not only put their lives back together, but improve their quality of life. Finding the right school and a mentoring program, one that helps guide a student through a higher education, can be more than a scholastic achievement; it can be a part of the process of rebuilding a life and moving on. In fact, it can be transforming and inspiring. This chapter examines the process and offers insight and advice on the importance of reaching goals, despite any obstacles.
A Multimedia Professional Development Process for Teacher Education and Professional Development
Authors: VanUitert Victoria J. , Kennedy Michael J. , Rodgers Wendy J. , Romig John Elwood , Alves Kat D.
Published: April 2019

In this updated chapter, the authors introduce a multimedia professional development process that can be used to support teacher candidates or inservice teachers' needs. The multimedia process has three key components: 1) teachers learn new evidence-based practices using multimedia vignettes including modeling videos; 2) teachers receive customizable curriculum materials to use during daily instruction; and 3) teachers receive data-driven coaching and personalized supports for making needed improvements or enhancements. The chapter details research backing each component of the process and includes resources for implementation.
A Follow-Up Inquiry on the Evaluation of an English Language Teaching Master's Program in Turkey
Authors: Öztürk Rukiye Özlem , Mede Enisa
Published: April 2019

This chapter provides evaluation of an English language teaching master's program and investigates the changes the program has gone through since. The program at issue is offered by the Graduate School of Educational Sciences at a foundation (non-profit, private) university in Istanbul, Turkey. The study particularly questions the preferences of the students about joining this program as well as analyzing their perceptions along with the course instructors and program coordinator. The sample population was comprised of 50 students, 5 instructors, and 1 program coordinator. Data was obtained through a questionnaire and reflective essays. The findings revealed that the program was effective regarding the content as well as the role of instructors which contributed to the professional development. However, the range of elective courses and balance between course loads needed more consideration for the redesign of the existing program. This follow-up inquiry tackles the adjustments implemented after the initial evaluation and discusses the changes made in accordance with its results.
Prospective EFL Teachers' Perceptions of Using CALL in the Classroom
Authors: Rakıcıoğlu-Söylemez Anıl , Akayoğlu Sedat
Published: April 2019

The study focuses on prospective English as a foreign language (EFL) teachers' perspectives on the use of computer-assisted language learning (CALL) resources in teaching English as a foreign language context. One hundred and six prospective EFL teachers enrolled in a teacher education program participated in the study, completed a survey on the perceived used of CALL in a classroom, and attended semi-structured face-to-face interviews with the researchers. Thus, the study aimed to identify the prospective EFL teachers' perceptions of their existing skills to integrate CALL into the future professional practices. The common perceptions and strategies of the prospective EFL teachers to use and integrate CALL into the language classes were examined and reported. In addition, pre-service teachers' perceived benefits and challenges of using CALL in EFL teaching contexts will be addressed from the participants' perspectives. Finally, the study provides implications for further research in addition to recommendations for EFL teacher education programs.
Teacher Satisfaction, Research Engagement, and the Conceptualization of Research From In-Service English Teachers' Perspectives
Authors: Uztosun Mehmet Sercan
Published: April 2019

This chapter reports a mixed-methods study that aimed to explore in-service English teachers' job satisfaction and research engagement in Turkey and reveal whether these two constructs are related. The study also attempted to understand reasons behind the frequency of teacher research engagement. The data were collected from 2,476 teachers through an online questionnaire. The quantitative data was analysed using descriptive statistics, and Pearson's correlations; the qualitative data were analysed through content analysis. Most of the participants were satisfied with being teachers but were not satisfied with their teaching practices. Positive correlation was found between reading research, doing research, and job satisfaction. The frequencies of doing research and reading research were not in agreement, in that participants reported to do research more frequently than they read research. Participants equated doing research with studying English. This shows that most in-service English teachers are not aware of the construct teacher as a researcher.
Latinx Third Graders' Reading and Employing Activism During Tumultuous Times
Authors: Braden Eliza G.
Published: April 2019

This chapter offers preservice candidates and in-service teachers a portrait into a classroom context where one teacher: 1) identified the experiences and backgrounds of 20 culturally and linguistically diverse students, 2) used critical literacy as a theory to purposefully select critical multicultural literature grounded in the lives and experiences of her culturally and linguistically diverse third graders, and 3) used critical literacy and multimodal text types to enhance students meaning making and talk as they discussed social activism. Implications for practice and research are provided.
Critical Friends Group and Its Impact on Teachers and the Learning Process
Authors: Bintaş Koray , Dikilitaş Kenan
Published: April 2019

This chapter investigates the perceptions, experiences and learning of native and non-native EFL teachers towards in-service teacher education (INSET) through critical friend group (CFG) in a language preparatory program, at a private high school in the western part of Turkey. Specifically, the study identifies the specific aspects of CFG which might enhance teacher-learning and finally, better understand their perceptions towards reflective practice. The participants were four EFL teachers offering English lessons in a preparatory class at the high school. Data were collected through interviews, video recordings, and reflective essays. The findings revealed that participating in CFG has promoted teacher-learning through collaboration as it became the vehicle that facilitated teachers to alter their classroom practices, which in return, supported the learning process in their classrooms.
Blockchain Technologically Driven Innovation at the Gulf Cooperation Council Countries
Authors: Alabbasi Yousef , Sandhu Kamaljeet
Published: April 2019

This chapter delves into the innovation of blockchain technology and its benefits for advancing the economic growth in the Gulf Cooperation Council (GCC) countries. Blockchain technology provides the security and reliability that is required in the GCC region for enhancing the technology acceptance level of its population. Apart from providing security, blockchain technology offers financial efficiency, cost reduction, and the elimination of operational risks. Blockchain technology is equally beneficial for nonfinancial industries, such as the healthcare and education industry of the GCC region. The digital revolution based on blockchain technology is beneficial for GCC countries to shift their economic dependence from oil to innovations driven by technology. This will move the GCC to develop more smart cities as the GCC region has an ample amount of financial and human resources that are required for successful integration of blockchain technology in its numerous industries.
Assessing Corporate Social Responsibilities in the Banking Sector
Authors: Dinçer Hasan , Yüksel Serhat , Yazici Merve , Pınarbaşı Fatih
Published: April 2019

The aim of the chapter is to evaluate the corporate social responsibilities in the banking sector during global financial crisis period. For this purpose, alternatives of corporate social responsibilities for Turkish deposit banks are taken into the consideration. Within this framework, a set of criteria and dimensions are defined by analyzing similar studies in the literature. Also, fuzzy DEMATEL approach is used to weight these dimensions and criteria. On the other side, some alternatives for the corporate social responsibilities is identified by supported literature. Moreover, fuzzy MOORA method is applied to rank these alternatives. The findings show that the transparency is the most important factor in the criterion set as. Another important conclusion is that environment has the best degree in the alternative set. Thus, it is recommended that banks should be very transparent and mainly focus on environmental issues especially in the crisis period to increase the image on the eyes of the consumers. Therefore, it can be possible to increase the sales in this way.
The Role and Importance of Independent Audit and Annual Integrated Reports as Corporate Tools in Communication With Stakeholders From the Investor Relations Perspectives
Authors: Kartal Mustafa Tevfik
Published: April 2019

Although there are globalization and digitalization trends affecting all companies, some things can never be changed. Similarly, when speaking about investor relations, although there are new tools, annual reports are the main communication tools with the stakeholders. One of the most important issues with them is independent assurance and timely sharing with stakeholders. Also, there is a new trend named as integrated report regarding annual reports. So, in this study, it is aimed at evaluating the role and importance of independent audit and annual integrated reports as corporate communication tools from the point of view of investor relations. It is concluded that annual reports are still main corporate communication tools with the stakeholders for companies although there are other instruments like web site, social media and investor presentations. Integrated report trend is intensifying this role. Therefore, independent audit has a substantially important role in providing assurance to stakeholders regarding integrity of information in annual (integrated) reports.
Do Financial Investment Decisions Affect Economic Development?
Authors: Yüksel Serhat , Kavak Pınar Tuğçe
Published: April 2019

The purpose of this chapter is to determine whether mortgage loans have an influence on economic growth in Turkey. In this context, as the variable of the mortgage, the ratio of the mortgage loans to the total loans is taken into consideration. Also, the increase ratio in GDP is used as an economic growth variable. In addition to this situation, quarterly data of these variables for the periods between 2005:1 and 2017:3 is examined. On the other hand, Engle-Granger cointegration analysis is considered in this study in order to reach this objective. In the analysis process, firstly, the variables are subjected to the ADF unit root test, and it is understood that both variables become stationary by taking first order differences. It is identified that there is a long-term relationship between mortgage loans and economic growth in Turkey. By considering these results, it is recommended to encourage mortgage loans in order to increase economic growth.
The Role of IMF-Turkey Relationship on Strategic Investment Decision
Authors: Uzunkaya Seçil Şenel
Published: April 2019

The International Money Fund was established as an intermediary to overcome the 1929 World Economic Depression and economic destruction of World War II, balance payment problems, imbalance of international monetary system, and shrinking international trade. However, the role of the IMF has changed with the new developments in the world economy, and after 1980 with its applications called “structural adjustment program,” IMF has increased its effectiveness, and it has become an important authority on the crisis occurred with the globalization. In this chapter, the historical development of IMF and Turkey's relationship and its effects on the Turkish economy is discussed. The economic conditions led Turkey to apply to the IMF and all of the agreements made between IMF and Turkey, and as a result of those, the macroeconomic parameters of the Turkish economy are evaluated. The effects of the IMF stability program on the Turkish economy, applied by Turkey as a result of the agreements made with IMF, are analyzed with VAR econometrical model. The effects of IMF loans on balance of payments, current account deficits, economic growth, and inflation rates are analyzed. The macroeconomic parameters are compared with t test to find out if there is any meaningful difference on those parameters between the periods with agreements made with IMF and the periods without any agreements.
Corporate Scandals and Systemic Risk
Authors: Zengin Sinemis
Published: April 2019

Corporate scandals are unpredictable misbehaviors of person/people that have engagement within corporate ended by bankruptcy of corporate. In the global world, companies are related with each other, and one bankruptcy triggers another company; moreover, it may cause a systemic risk depends on size of company as occurred in 2008 economic crisis. Corporate scandals are unpredictable; however, experience from history may guide regulators to avoid in the future by effective regulations. In this chapter, corporate scandals will be studied carefully to classify subjects of scandals and their impact.
The Strength Study of Ultrasonically Welded Thermoplastic
Authors: Sýkorová Libuše , Šuba Oldřich , Žaludek Milan , Kubišová Milena
Published: April 2019

The paper focuses on the field of unconventional technologies, specifically on ultrasonic welding of polymeric materials. Ultrasonic welding is one of the well-known techniques of plastic bonding, which significantly reduces the production process. It differs from other welding and connecting processes by the fact that the heat required for joining two plastic materials is obtained solely by mechanical vibrations between the connected parts. The paper aims to assess the strength of the welded specimens and then compare them with the model situation. For experimental welding, polypropylene was chosen. The specimens in the form of standardised test blades were subjected to a tensile test after welding in order to evaluate the effect of the length of the overlapping joint on the final strength of the joint. The resulting weld strength (bearing capacity) was also compared to the strength of the basic material to determine the degree of the strength loss against the basic material.
Comparison of Selected Thermoplastic Materials in the Fused Deposition Modeling Process and their Influence on the Dimensional Accuracy of an Orthodontic Upper Teeth Model
Authors: Milde Jan , Jurina František
Published: April 2019

The article focuses on the research of selected thermoplastic materials processed by the Fused Deposition Modeling (FDM) additive manufacturing method and dimensional accuracy of parts in particular. The selected thermoplastic materials were ABS, PLA and HIPS. The digital model of the object (upper teeth) was obtained by the intraoral 3D scanner of 3Shape TRIOS used in dentistry. Based on the 3D (Three Dimensional) scanned digital model, the manufacturing of the upper teeth was performed on the Zortrax M200 FDM 3D printer. Parameters of the manufactured parts were as follows: Layer thickness 0.09 mm, infill 20% and model orientation 0°. The manufactured parts were digitized by the GOM ATOS Triple Scan optical 3D scanner with the measuring volume of MV 170. The dimensional accuracy of the parts was evaluated in the GOM Inspect software.
Assembly Tool Manufacturing and Optimization for Polylactic Acid Additive Manufacturing
Authors: Lecký Šimon , Václav Stefan , Michal Dávid , Hrušecký Róbert , Košťál Peter , Molnár Ivan
Published: April 2019

Paper focuses on additive manufacturing of assembly tool for hole selection. One of the most important part in design and optimization process in additive manufacturing for assembly tool is material selection and technology. In this case was chosen plastic material know as poly-lactic-acid. Polylactic acid has low shrinkage and huge potential in assembly tooling and assembly fixture manufacturing. Main benefits are in use of additive manufacturing for this purpose because of huge manufacturing variability and time savings in case of frequent design changes. From filament fused fabrication technology stand point is important to determine right manufacturing orientation of part. Main material benefit is bio-degradability and recyclability. Current trend in manufacturing is bio materials, clean manufacturing and ecofriendly products. Correct orientation of assembly tool will optimize manufacturing process in one way. Article is aimed on manufacturing precision in each orientation of part on build late. With right orientation of part in additive manufacturing process is determined exact precision of assembly tool manufacturing. For measurement was used coordinate-measuring machine. In this case measurements and precision checking are made only in exact spots where is needed the most precise distance
Secondary Biaxial Data Application in a Process of a Hyperelastic Material Characterization
Authors: Keerthiwansa Rohitha , Javořík Jakub , Kledrowetz Jan
Published: April 2019

In order to find hyperelastic material model constants, data fitting technique is often used. For this task, the data is collected through different laboratory tests, namely, the uniaxial, the biaxial and the pure shear. However, due to the difficulty in getting biaxial data, often only uniaxial data was used for the fitting. Despite frequent use, it was established that this practice creates erroneous results. With a view to improve the data fitting results and at the same time to overcome the difficulty of collecting primary biaxial data, uniaxial data was used to generate a secondary biaxial data set. The data derived through this method was then tested with four common models as to examine the compatibility of the method. Subsequently, real biaxial data was used to compare with the data fitting results obtained through the proposed method. As results indicated combined data fitting for both instances were very much identical with respect to all tested models. Cases where somewhat higher deviation observed between experimental curves and data fitted curves for biaxial data, gave similar results for adjusted data driven data fitting too. However, such deviation could be attributed to mismatch between models with the particular material behaviour rather than the generated data.
Contactless Detection of Contaminants by UV-VIS Luminescence Spectroscopy
Authors: Drašnar Petr , Zoubek Michal , Chábera Petr , Havel Jiří , Hlavín Petr
Published: April 2019

Some modern methods of surface contamination detection use the principle of luminescence for their function. This thesis aims at introducing the principle of the method that is available for the measurement of surface contamination, thesis deals with an innovative surface-detection device using UV-VIS luminescence spectroscopy. In the work is presented the industrial use of the detection of oil contaminants. Another specialized topic is the field of forensic practice - dactyloscopy, where the possible use of the principle of UV-VIS luminescence spectroscopy, the Recognoil device as a possible and effective method of ensuring dactyloscopic traces is proved.
Mathematical Description of Semi-Solid Magnesium Alloys Behaviour by Using Rheological Models
Authors: Ślęzak Marta
Published: April 2019

This paper is a study of rheological analysis of magnesium alloys of groups Mg-Zn-Al and Mg-Zn-RE. It presents the results of high-temperature measurements of magnesium alloys, along with rheological analysis of their behaviour. Magnesium alloys are a very attractive material, due to their light weight and good plastic properties; on the other hand this material is very reactive in a liquid (semi-solid) state, which is challenging from a testing and forming perspective. The findings obtained were compared with five types of rheological models describing rheological characteristics of viscous systems. The analysis was carried out using Rheoplus software. As a result of the conducted work, the mathematical descriptions which are best for characterising rheological behaviour of semi-solid magnesium alloys containing 20% of the solid phase have been proposed.
Effect of Natural Aging on Mechanical Response of the Artificially Aged EN AW 6063 Aluminium Alloy
Authors: Fujda Martin , Matvija Miloš , Glogovský Miroslav
Published: April 2019

The effect of natural pre-aging time (from 0.1 to 10000 h) on mechanical response during subsequent artificial aging of EN AW 6063 aluminium alloy at 170°C was investigated using Vickers microhardness measurements, tensile test analysis and transmission electron microscopy characterization. The microhardness and tensile strength of EN AW 6063 alloy increased slightly with natural aging time. Afterward, the artificial ageing from 18 to 20 hours induced the maximum increasing of hardness and strength for variously naturally pre-aged states of alloy. But, it was found that when pre-aging time was prolonged from 0.1 h to 10000 h, the mechanical response of artificial aging applied for the pre-aged alloy states was slightly improved. It was suggested, that as pre-aging time was increased, the size of β'-phase particles formed in solid solution of pre-aged alloy state during artificial aging was decreased and their amount was increased.
Development of Equipment for Mass Cataphoresis Painting
Authors: Hylák Kamil , Matuška Zbyněk , Drašnar Petr , Kudláček Jan , Horník Jakub
Published: April 2019

This paper describes the development and operation of a small parts coating device in an electrophoretic manner. The cataphoretic coating process is nowadays highly desirable and generates a continuous coating against corrosion. The aim of the research is to find solutions or innovations to coat small parts in bulk. Small parts are inserted inside the device and painted in a cataphoretic manner. Painting is based on rotary device and random contact between small parts and cathode.
Comparative Study of Gas Ratio on Indium Nitride Thin Films Grown on Flexible Substrates Prepared by Reactive Sputtering Method
Authors: binti Osman Siti Aisyah , Ng Sha Shiong
Published: April 2019

In this report, indium nitride (InN) thin films were deposited on kapton polyimide flexible substrate by reactive radio frequency (RF) sputtering method using an indium target in a mixture of Ar and N2gases. The effects of the Ar:N2gas ratio on the properties of the deposited InN thin films were investigated by X-ray diffraction (XRD), field-emission scanning electron microscopy (FESEM), atomic force microscopy (AFM), and energy dispersive (EDX) spectroscopy. The XRD revealed that the deposited films composed of polycrystalline wurtzite InN. The FESEM and AFM surface morphologies showed smooth and uniform surface of gas ratio at 60:40 compare to others gas ratio. Overall, the characteristics of the InN thin films were effectively improved with combination the N2:Ar gas ration at 60:40. The results showed that the gas ratio plays an important role in improving the properties of the InN thin films.
Effect of Ionic Liquid BMIMNO3 to Chitosan-Starch Blend Biopolymer Electrolyte System
Authors: Shaffie Ahmad Hakimi , Misenan M.S.M. , Isa M.I.N. , Khiar Azwani Sofia Ahmad
Published: April 2019

Chitosan-Starch blend biopolymer electrolyte system doped with different percentage of BMIMNO3 was prepared via solution casting technique. The crystalinity of the system was calculated using data extracted from x-ray diffraction (XRD). The film was characterized by impedance spectroscopy HIOKI 3531-01 LCR Hi-Tester to measure its ionic conductivity over a wide range of frequency between 50Hz-5MHz and at temperatures between 298 K and 378 K. The result exhibit the advantages of ionic liquid as a charge carrier and also revealed that addition of 5% of BMIMNO3 shows the highest conductivity of (2.26 +-0.96) x 10-4 Scm-1 .Conductivity-temperature relationship indicate that the system seems to obey the Vogel-Tamman-Fulcher (VTF) behaviour.
Synthesis of PVP Coated Superparamagnetic Iron Oxide Nanoparticles with a High Saturation Magnetization
Authors: Noqta Osama Abu , Aziz Azlan Abdul , Usman Adamu Ibrahim
Published: April 2019

Superparamagnetic iron oxide nanoparticles (SPION) were synthesized by one pot coprecipitation method at room temperature in the presence of Polyvinylpyrrolidone (PVP). X-ray powder diffraction (XRD), transmission electron microscopy (TEM), and Vibrating Sample Magnetometer (VSM) were used to analysis the physicochemical properties of PVP-SPION. The XRD patterns confirmed that the structure of as-synthesized sample is magnetite with cubic structure system. In TEM results, the image of PVP-SPION displayed that the size of particles was 14.05 nm with narrower size distribution and also the PVP played important role to minimize the agglomeration of SPION. Finally, the high saturation magnetization value of PVP-SPION (53.0 emu/g) indicate the as-synthesized sample has a great potential as a contrast agent for MRI.
Effect of Cu Doped in MgO on Nanostructures and their Band Gap Energies
Authors: Chayed Nor Fadilah , Kamarulzaman Norlida , Badar Nurhanna , Elong Kelimah
Published: April 2019

Doping of the materials with other metals or transition metals will modify the properties of the nanomaterials. In this work, MgO and Cu doped MgO which are Mg0.95Cu0.05O and Mg0.90Cu0.10O nanomaterials are synthesized using a self-propagating combustion method. The samples are annealed at 900 °C for 24 hours. The phase and purity of the synthesized samples are studied using X-Ray Diffraction (XRD) and the result revealed that the samples are pure and single phase. The morphology and crystallite size of the pure samples are examined using Field Emission Scanning Electron Microscope (FESEM). The result shows polyhedral morphology with agglomeration of crystallite and average crystallite size of the samples is between 40 to 210 nm. The band gap obtained for MgO nanostructures is 6.38 eV which is lower than bulk MgO of 7.8 eV. The presence of Cu causes the narrowing the band gap energy of Mg0.95Cu0.05O and Mg0.90Cu0.10O samples to 4.28 eV and 3.35 eV respectively.
The Polarizability and Optical Characteristics of Zinc Phosphate Glasses Doped Terbium Embedded with Copper Oxide Nanoparticles
Authors: Yaacob Syariffah Nurathirah S. , Sahar M.R. , Sazali E.S. , Sulhadi S.
Published: April 2019

Tuning the concentration of nanoparticles (NPs) to accommodate wider application demanded a better understanding of the physicals and structural properties of the glass. A series of zinc phosphate glasses with the composition of (57-x) P2O5- 40ZnO-3Tb2O3 –xCuO, (0 ≤ x ≤ 2 mol %) has been prepared by melt quenching technique and their physical and optical characterization have been studied. The X-Ray Diffraction technique and UV-Vis Spectroscopy have been used to characterize the glass sample. The XRD confirms the amorphous nature of the prepared glasses. The physical properties of glasses with different CuO NPs such as density, molar volume, refractive index and electronic polarizability are determined. It is found that both density and molar volume decreases with increasing CuO NPs concentration. The optical band gap (4.54 eV-2.96 eV) and the Urbach energy (0.19 eV-0.54 eV) are showing a decreasing trend with the increasing amount of CuO NPs.This is due to the formation of non-bridging oxygen, (NBO) in the glass network. The glass exhibits high refractive index ~2.40 and polarizability ~1.12 ×10-23 cm3 and is useful for solid-state laser and optoelectronic devices.
The Effect of Gold Nanoparticle Size in the Cellular Uptake
Authors: binti Rosli Nur Shafawati , Rahman Azhar Abdul , Aziz Azlan Abdul , Shamsuddin Shaharum , Ibrahim Abdul Razak
Published: April 2019

Nowadays, gold nanoparticles (AuNPs) received a great deal of attention for biomedical applications especially in diagnostic imaging and therapeutics. In this study, we elucidate on how size of gold nanoparticles (AuNPs) affect cellular uptake. The size dependence of AuNPs cytotoxicity in MCF-7 cells was tested by using the WST-1 assay. The sizes of AuNPs tested were 13 nm, 50 nm, and 70 nm. The toxicity of AuNPs in MCF-7 cell lines was quantified by determining the IC50 values in WST-1 assays. The IC50 values (inhibitory concentrations that affected 50% growth inhibition) of 13 nm AuNPs is higher than 50 nm and 70 nm AuNPs. Mean that, 13 nm AuNPs is less toxic to MCF-7 cells. This cytotoxicity results generally agree with those obtained in the study of cellular uptake by Inverted Microscope and EFTEM. Morphological observation of MCF-7 after being treated with 13 nm, 50 nm, and 70 nm AuNPs, were looking unhealthy and dying out of the populace, the observed cells were more reduced and dying as treatment with 50 nm and 70 nm AuNPs. Cells detachment, clumping, shrunken, and dispersed cells in the culture medium and floating cells were also observed. The observed morphological changes increase in 50 nm and 70 nm AuNPs than in 13 nm AuNPs, which is less toxic to MCF-7 cells. The presented morphological analysis has also established that 13 nm AuNPs showed less toxic to MCF-7 cells. The presented results clearly indicate that the cytotoxicity and cellular uptake of AuNPs depend on the size of the nanoparticles.
Digital Twin for Drilling Operations – Towards Cloud-Based Operational Planning
Authors: Pivano Luca , Nguyen Dong Trong , Bruun Ludvigsen Kristine
Published: April 2019

Most drilling operations in deep water are performed in Dynamic Positioning (DP) mode. In harsh environments and shallow water conditions, thruster assisted position mooring configurations are often the preferred choice as the mooring lines provide an extra help to counteract the environmental loads. Drilling operations, both in pure DP or thruster-assisted position mooring modes, are limited by the ability of the vessel to maintain position and heading within the required accuracy. In addition, the motion in heave, roll and pitch must be within predefined limits. These limits vary between the type of operation to be performed. For example, reconnecting the low marine riser package has much stricter motion limitations compared to logging or drilling through riser operations. All these operations need to be carefully planned; and having estimate in advance of the vessel motion and station-keeping performance could be of vital importance, also considering planned maintenance.

The aim of this paper is to share experiences in planning DP drilling operations by using cloud-based time-domain simulations performed with a digital twin of a semi-submersible drilling rig. A digital twin is a virtual representation of an asset, used from early design through building and operations, maintained and easily accessible throughout its lifecycle. A digital twin can replicate many aspects of the asset; in the case of planning DP drilling operations, our digital twin includes time-domain models for running simulations and predicting the vessel motion.
Implementing the New INCOSE Systems Engineering Competency Framework Using an Evidence Based Approach for Oil and Gas Companies
Authors: Gelosh Donald S.
Published: April 2019

The much-anticipated new INCOSE Systems Engineering Competency Framework was published in July 2018. This paper and associated presentation describes how individuals in oil and gas companies can use a practical evidence-based approach with the new framework to enhance their overall engineering and systems engineering expertise. The framework consists of 36 competencies across five groups: Core, Technical, Management, Professional, and Integrating. In addition to a description and explanation of why it is important, each competency includes a set of evidence-based indicators across five levels of competence: Awareness, Supervised Practitioner, Practitioner, Lead Practitioner and Expert. The indicators are considered evidence-based because they describe the evidence that individuals should provide in order to determine their level of competence. An individual's competence enables them to properly execute a particular process or activity described by the competency with a certain proficiency. It also includes understanding and making the most of the relationships between and among the various competencies and their activities, understanding the individual's specific roles in supporting the overall enterprise, in this case the oil and gas industry, and understanding the behavioral skills required to ensure the competencies and their associated activities are executed effectively in those roles. In addition, by applying this evidence-based approach, individuals can use the indicators to help identify and then acquire the necessary knowledge, skills, abilities, behaviors and experiences that lead to higher levels of competence in the various competencies, thereby enhancing their own systems engineering effectiveness in their oil and gas careers and beyond.
Development of a Sour HPHT Environment Corrosion-Fatigue S-N Design Curve
Authors: Slavens Michael J. , Tyler Kenneth F.
Published: April 2019

In Deepwater Gulf of Mexico (USA), industry and regulatory requirements now require fatigue analysis of in-well barrier equipment for HPHT development wells. The S-N (stress-life) based analysis, specifically utilizing ASME BPVC Sec. VIII Div-2 Part 5 (2013), was the selected analysis methodology for a project. The project required analysis of oilfield grade precipitation hardened nickel-based alloys cyclically loaded in a high temperature environment with sour corrosive produced fluid characterized by significant H2S, CO2, and chlorides, and low pH. As part of the fatigue analysis, a suitable fatigue design curve needed to be selected for the desired metallurgy and environmental exposure.

The team initially focused on utilizing an existing industry standard fatigue design curve, but after review, development of a unique corrosion fatigue design curve was required. The targeted initial fatigue design curve was the applicable curve found in ASME BPVC Sec. VIII Div-2 (2013). The team used a proprietary data set, from an environment representative of the expected downhole conditions of the project, collected for a previous project. The data set clearly demonstrated that the applicable ASME BPVC design curve (ASME BPVC Sec. VIII Div-2 2013) did not meet the required level of conservatism in this sour corrosive HPHT environment. The original intent of the data set likely was not to validate or develop a fatigue design curve and the test protocol did yield data that could readily be input into typical design curve analysis. Therefore, some advanced and novel analysis techniques were used to develop a unique S-N fatigue design curve that met the industry standard requirements for conservatively predicting fatigue failure and met the requirements for use within ASME BPVC Sec. VIII Div-2 Part 5 based analysis.
Aasta Hansteen Offshore Marine Operations – Deep, Remote and Harsh
Authors: Henriksen Tom-Erik , Aarset Kenneth , Myrvang Helge Bråthen , Haslum Herbjørn Alf , Nes Rolf Morten
Published: April 2019

This paper describes the offshore marine operations for the Aasta Hansteen field development.

The Aasta Hansteen Field development at a water depth of 1300m is the deepest field on the Norwegian Continental Shelf (NCS). The field is remotely located north of the Arctic Circle, in a particularly harsh environment 300km off the coast of Northern Norway, with 140km to the closest offshore installation. For further details regarding the field development, reference is made to (Christensen T.; 2019).

The field consists of a subsea production system producing gas and condensate through steel catenary risers (SCR) connected to a Truss Spar FPSO, and a gas export SCR and pipeline transporting the gas to the onshore plant at Nyhamna at the west coast of Norway.

This paper will present key aspects and success criteria’s important for the planning, design and execution of the Aasta Hansteen marine operations.