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Article

Fazıl Canbulut, Cem Sinanoğlu, Şahin Yıldırım and Erdem Koç

A neural network is employed to analyze axial piston pump of hydrostatic circular recessed bearing. Owing to complexity of the system, the neural network is used to…

Abstract

A neural network is employed to analyze axial piston pump of hydrostatic circular recessed bearing. Owing to complexity of the system, the neural network is used to predict the bearing parameters of the experimental system. The system mainly consists of cylinder block, piston, slipper, ball‐joint and swash plate. The neural model of the system has three layers, which are input layer with one neuron, hidden layer with ten neurons and output layer with three neurons. It can be outlined from the results for both approaches neural network could be modeled bearing systems in real time applications.

Details

Industrial Lubrication and Tribology, vol. 56 no. 5
Type: Research Article
ISSN: 0036-8792

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Article

Menderes Kalkat, Şahin Yıldırım and Selçuk Erkaya

The purpose of this paper is to improve the application of neural networks on vehicle engine systems for fault detecting and analysing engine oils.

Abstract

Purpose

The purpose of this paper is to improve the application of neural networks on vehicle engine systems for fault detecting and analysing engine oils.

Design/methodology/approach

Three types of neural networks are employed to find exact neural network predictor of vehicle engine oil performance and quality. Nevertheless, two oil types are analysed for predicting performance in the engine. These oils are used and unused oils. In experimental work, two accelerometers are located at the bottom of the car engine to measure related vibrations for analysing oil quality of both cases.

Findings

The results of both computer simulation and experimental work show that the radial basis neural network predictor gives good performance at adapting different cases.

Research limitations/implications

The results of the proposed neural network analyser follow the desired results of the vehicle engine's vibration variation. However, this kind of neural network scheme can be used to analyse oil quality of the car in experimental applications.

Practical implications

As theoretical and practical studies are evaluated together, it is hoped that oil analysers and interested researchers will obtain significant results in this application area.

Originality/value

This paper is an original contribution on vehicle oil quality analysis using a proposed artificial neural network and it should be helpful for industrial applications of vehicle oil quality analysis and fault detection.

Details

Industrial Lubrication and Tribology, vol. 61 no. 6
Type: Research Article
ISSN: 0036-8792

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Article

Hamdi Taplak, İbrahim Uzmay and Şahin Yıldırım

To improve the application neural networks predictors on bearing systems and to investigate the exact neural model of the ball‐bearing system.

Abstract

Purpose

To improve the application neural networks predictors on bearing systems and to investigate the exact neural model of the ball‐bearing system.

Design/methodology/approach

A feed forward neural network is designed to model‐bearing system. Two results are compared for finding the exact model of the system.

Findings

The results of the proposed neural network predictor gives superior performance for analysing the behaviour of ball bearing undergoing loading deformation.

Research limitations/implications

The results of the proposed neural network exactly follows desired results of the system. Neural network predictor can be employed in practical applications.

Practical implications

As theoretical and practical study is evaluated together, it is hoped that ball‐bearing designers and researchers will obtain significant results in this area.

Originality/value

This paper fulfils an identified research results need and offers practical investigation for an academic career and research. Also, It should be very helpful for industrial application of ball‐bearing systems.

Details

Industrial Lubrication and Tribology, vol. 58 no. 1
Type: Research Article
ISSN: 0036-8792

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Book part

Christopher Hill and Razan Bassam Nweiran

Transnational education (TNE) is evolving. It has moved from a necessity-driven model to a more balanced collaboration between host nation and sending institution. As a…

Abstract

Transnational education (TNE) is evolving. It has moved from a necessity-driven model to a more balanced collaboration between host nation and sending institution. As a result of this shift, the issue of sustainability looms large. As the sector has matured, the primary drive is no longer economic and as a result, integration and relevance to context are promoted and cultivated. Universities are looking for long-term engagement and, therefore, must choose partners wisely.

Sustainability for the long-term success of an institution in a host nation is often measured by the extent to which a higher education institution (HEI) can integrate and demonstrate value. This is perhaps most often demonstrated now by employability. In the face of shifting expectations, student debt, and graduate mobility, attention must be paid to relevance of learning and inherent value of degree. We still understand relatively little about the impact and legacy of TNE, or the role it can play in the employability agenda and this is at the heart of the sustainability debate in international higher education (HE).

The issue of access, while not solved for all, has perhaps been replaced in literature with impact, or indeed, legacy (McNamara & Knight, 2014). What is the value of international HE, and to whom? As institutions look to further their global reach, both as a response to shifting recruitment patterns and visa concerns and in order to pursue new funding opportunities and industry partners, a closer examination of university partnerships, both with other institutions and further afield, is required. New models provide new opportunities but are they simply more efficient and less costly ways of achieving the goal of student recruitment? The questions that should be asked are fundamentally why are universities engaging in international activity and who ultimately benefits?

This chapter will highlight key examples of sustainable partnership models. These cases will serve as a valuable resource for policy makers, universities, and HE practitioners. The chapter will explore examples from different countries and contexts, in order to identify core elements of a university partnership that promote, enhance, and support sustainability and do not rely on traditional models of fixed campus presence.

Details

University Partnerships for Sustainable Development
Type: Book
ISBN: 978-1-78973-643-4

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Article

Ahmet Şahin, İbrahim Yıldırım and Bülent Miran

The major aim of study was to determine the chicken meat producer's optimal selling times.

Abstract

Purpose

The major aim of study was to determine the chicken meat producer's optimal selling times.

Design/methodology/approach

The method used for this purpose was Wald, Benefit and Regret criterions of Game Theory. The transformed Wald, Benefit and Regret linear programming models were solved to find the optimal solution. The data consisted of monthly chicken meat prices received by producers between 2000‐2007, which were obtained from the Poultry Meat Producers and Breeders Association.

Findings

The optimal solutions of Wald and Benefit criteria showed that June was the best selling month for chicken meat producers in Turkey. August was found to be the optimal selling month according to the Minimum regret criterion. In light of the Maximum criterion it was concluded that the producers would be at highest regret positions with 98.28 percent in event of selling in November.

Originality/value

The results found in this study could be an indicator for individual chicken producers for a more competitive bargaining power when they make a contract with chicken meat production and marketing firms.

Details

British Food Journal, vol. 111 no. 9
Type: Research Article
ISSN: 0007-070X

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Book part

Macid Ayhan Melekoğlu

As a result of human right movements, the importance of special needs of individuals with disabilities has become more prominent in many countries in the world. Hence…

Abstract

As a result of human right movements, the importance of special needs of individuals with disabilities has become more prominent in many countries in the world. Hence, endeavors of people with disabilities, their family members, and advocates to seek accessible communities and equal opportunities for education, as well as, job placement have been widely accepted as human rights for individuals with disabilities. Consequently, establishing barrier-free environments and inclusive societies for people with disabilities have become important indicators of social development of countries. Besides, since education is considered as a fundamental human right, the importance of providing special education for children with disabilities has been recently realized by many nations (United Nations. (2006). World programme of action concerning disabled persons. New York, NY: United Nations). Turkey is one of those countries that have quite recently started to invest in special education services for its citizens with disabilities. This chapter focuses on the development, as well as the current state of special education in Turkey. Included in this development are the following sections: origins of Turkish special education, prevalence and incident rates, trends in laws and regulations, educational interventions, working with families, teacher preparation, progress that has been made, and special education challenges that exist.

Details

Special Education International Perspectives: Practices Across the Globe
Type: Book
ISBN: 978-1-78441-096-4

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Article

Ahmet Sahin, İbrahim Yıldırım and Ahmet Deniz

– The purpose of this paper is to perform a comparative assessment of the urban and rural households’ preferences of fresh mutton meat consumption in Hakkari, Turkey.

Abstract

Purpose

The purpose of this paper is to perform a comparative assessment of the urban and rural households’ preferences of fresh mutton meat consumption in Hakkari, Turkey.

Design/methodology/approach

The sample size consisted of 95 rural and 95 urban households. The data were collected from November 2007 until May 2008 intermittently. Probity and Heckman Models were used in the study.

Findings

Price elasticity of mutton meat demand was calculated as –0.242, which reveals the mutton meat is a compulsory good in the research area. Income elasticity of mutton meat was found as 0.39, which shows relatively satisfactory amount of mutton meat is consumed. However, there existed great differences in terms of mutton meat consumption per capita among the income groups.

Originality/value

The findings in the study may contribute to the mutton meat producers and marketers in the region when planning their production and marketing strategies.

Details

British Food Journal, vol. 116 no. 12
Type: Research Article
ISSN: 0007-070X

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Book part

Zbyněk Filipi and Lucie Rohlíková

This chapter presents innovative approaches to active learning that were introduced into the teaching of preservice teachers at the Faculty of Education of University of…

Abstract

This chapter presents innovative approaches to active learning that were introduced into the teaching of preservice teachers at the Faculty of Education of University of West Bohemia, Pilsen, in the Czech Republic. Over the last three years, the Technology-Enhanced Learning course has seen substantial innovations in both the content and use of teaching strategies designed to prepare the students for their professional lives. The whole update of the course was implemented using the results of action research – all individual changes were rigorously tracked and analyzed. The state of the art in the active learning domain in education of preservice teachers is presented in this chapter.

There is a description of the procedure to update the course, based on the reflections of teachers and feedback from students, gathered during action research. Detailed evaluations of particular methods of active learning that have been proven in teaching are provided.

Besides practical activities with tablets and smartphones, during which students familiarize themselves with various types of applications and reflect on their use in teaching, the course was extended by the use of practical aids for the efficient inclusion of mobile technologies for teaching – the Czech version of Allan Carrington’s Padagogy Wheel. This aid is derived from the revised Bloom’s taxonomy and SAMR model and helps the systematic reflection of preservice teachers when preparing for technology-enhanced teaching.

A significant part of the teaching consists of cooperative projects between preservice teachers and pupils of elementary schools – for example, the preservice teachers help elementary school pupils discover possibilities of virtual reality during Google Cardboard activities, or preservice teachers in teams with elementary school pupils create digital stories together on the topic of Internet safety.

The innovative approach to active teaching in the Technology-Enhanced Learning course is apparent even during the exam. In the course of the exam, students process, present, and defend a lesson plan for the implementation of an activity using digital technologies.

Throughout the learning, as well as at the end, preservice teachers are encouraged to reflect on the teaching in the Technology-Enhanced Learning subject.

Details

Active Learning Strategies in Higher Education
Type: Book
ISBN: 978-1-78714-488-0

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Book part

Öznur Arslan

The data expected from the governmental accounting, in which all the budget operations are recorded, and the reports based on these data couldn’t be achieved until…

Abstract

The data expected from the governmental accounting, in which all the budget operations are recorded, and the reports based on these data couldn’t be achieved until recently. To meet the necessities of society, the most important instrument of the modern state aiming to maximize the level of welfare is the taxes collected from the citizens, and the state has responsibilities in front of the society playing a funding source role. Moreover, in order to successfully manage the public administrations, which nowadays have more duties and authorities, it is a necessity to make use of the management information and methods. Thus, the development of public accounting, which refers to the determining, recording, and reporting all the financial operations performed by the state, has become inevitable. Many international regulations, modern accounting systems, and modern approaches have been developed for the public sector. In the present study, it was aimed to emphasize the development and importance of public accounting for the management and administration of the state.

Details

Contemporary Issues in Public Sector Accounting and Auditing
Type: Book
ISBN: 978-1-83909-508-5

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Article

Şahin Yildirim, İkbal Eski and A. Osman Kurban

To analyse a self‐acting parallel surface thrust bearing using a proposed feedforward neural network.

Abstract

Purpose

To analyse a self‐acting parallel surface thrust bearing using a proposed feedforward neural network.

Design/methodology/approach

Firstly, a one‐piece hydrodynamic thrust bearing with an initially flat surface is analysed, designed and tested. Analysis of the configuration used is particularly simple and gives good agreement with experimental results. Secondly, some artificial neural network types are designed to analyse minimum film thickness for specified load of thrust bearing system.

Findings

A more efficient film shape might result if the length of the cantilever did not increase with radius, since with the configuration used, the deflection of the outer corner was almost three times greater than the deflection of the inner corner, although this effect only becomes acute with regard to film thickness at fairly high loads. The design analysis of an asymmetric cantilever would be more lengthy and less easy to apply. Extrapolation of results for the plain bearing shows that high loads could be carried, but under severe conditions of temperature and clearance.

Research limitations/implications

Owing to finance problems, it was not easy to setup system in real time applications. This approach would be given usefulness elsewhere.

Practical implications

In future, this technique will be implemented for designing experimental neural network predictor on thrust bearing system. Also, this kind of neural predictor will be suitable for complex bearing systems.

Originality/value

A new type of neural network is used to investigate film thickness of thrust bearing system. Quick propagation neural network has given superior performance for designing of model of thrust bearing system. As described and shown in figures and tables, this kind of neural predictor could be employed for analysing such systems in practical analyses.

Details

Industrial Lubrication and Tribology, vol. 59 no. 2
Type: Research Article
ISSN: 0036-8792

Keywords

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