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Copyright of Journal of Ege University Nursing Faculty (JEUNF) is the property of Journal of Ege University Nursing Faculty (JEUNF) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In the field of automation technology, research and development for industrial applications has increased rapidly in recent years. Therefore, industrial automation and control education is a very important element of the industrialization process in developing countries, such as Turkey, which needs to keep abreast for the latest developments in the field. However, there are several challenges in industrial automation education in a developing country. First, a course that includes instrumentation and automation needs a significant budget. Moreover, the necessary instrumentation is generally confusing to use, which reduces the motivation of the students. Another challenge is that real industrial processes cannot be set up in the laboratory because these may be hazardous for students. To overcome these challenges, this paper gives a detailed description of some laboratory experiments in virtual-instrument-aided supervisory control and data acquisition (SCADA) systems. These experiments have been developed as part of implementing an inductive education strategy in the Automation Laboratory of Ege Vocational School, Ege University, Izmir, Turkey. The experiments described here are designed to show how an economically feasible SCADA system could be built. The advantages and the challenging points of these experiments are also discussed and evaluated. A quantitative evaluation was achieved using a one-way ANOVA test performed on the exam results of the students. The qualitative evaluation was performed using a survey given to the students. The results indicated that the performance of the students was improved compared to the previous years' students. (Contains 6 tables and 5 figures.)

Copyright of Beykent Üniversitesi Fen ve Mühendislik Bilimleri Dergisi is the property of Beykent Universitesi Fen Bilimleri Enstitusu and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Beykent Üniversitesi Fen ve Mühendislik Bilimleri Dergisi is the property of Beykent Universitesi Fen Bilimleri Enstitusu and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Although the prominent concept of the last decade – user experience – maintains its significance in diverse disciplines, especially design, its focus has changed to eliciting positive user experiences by pursuing new possibilities for consumer products rather than by solely seeking solutions to existing problems. Designers continue to aim for rich user experiences with a variety of products, but have neglected self-service (interactive) kiosks. Hence, this paper, after giving a brief overview of the positive psychology literature, demonstrates the dimensions of positive user experiences with self-service kiosks through an empirical study conducted on coffee vending machines and automated tellers. [ABSTRACT FROM AUTHOR]

The role of manufacturing enterprises in developing countries is more significant for economic prosperity than the developed countries since financial institutions are not well established. Today, the capability of producing high quality products with shorter delivery times and the ability to produce according to the diverse customer requirements have become the characteristics required for order-qualifiers for manufacturing industries. Computer Integrated Manufacturing (CIM) systems have become the backbone of modern manufacturing paradigm for not only being profitable but also staying in business at any corner of the world. In this respect academies play a prominent role to produce well equipped engineers being ready to take the challenge of maintaining and improving CIM systems. This paper is an effort to illustrate a prototype design and manufacturing project with necessary improvements in an educational CIM laboratory by addressing to the courses in the curriculum of Systems Engineering at Yeditepe University. Following to the insightful introduction to the laboratory facilities, the design, simulation and implementation of the prototype are presented. The results obtained are discussed from system engineering education perspective. © 2008 Wiley Periodicals, Inc. Comput Appl Eng Educ 17: 1–12, 2009; Published online in Wiley InterScience (www.interscience.wiley.com); DOI 10.1002/cae20144 [ABSTRACT FROM AUTHOR]

Stereopsis of X-ray images can produce 3D tree of coronary arteries up to a certain accuracy level with a lower dose of radiation when compared to computer tomography (CT). In this study, a novel and complete automatic system is designed that covers preprocessing, segmentation, matching and reconstruction steps for that purpose. First, an automatic and novel pattern recognition technique is applied for extraction of the bifurcation points with their diameters recorded in a map. Then, a novel optimization algorithm is run for matching the branches efficiently which is based on that map and the epipolar geometry of stereopsis. Finally, cut branches are fixed one by one at the bifurcations for completing the 3D reconstruction. This method prevails the similar ones in the literature with this novelty since it automatically and inherently prevents the wrong overlapping of branches. Other essential problems like correct detection of the bifurcations and accurate calibration parameters and fast overlapping of matched branches are addressed at acceptable levels. The accuracy of bifurcation extraction is high at 90 % with 96 % sensitivity. Accuracy of vessel centerlines has rootmean-square (rms) error smaller than 0.57 mm for 20 different patients. For phantom model, rms error is 0.75 ± 0.8 mm in 3D localization. [ABSTRACT FROM AUTHOR]

Seaports are nodal points in global supply chains. Industry 4.0 applications, which have entered our lives with the rapid technological developments, are also seen in the port sector. The use of Industry 4.0 technologies started in container ports first, and applications were predominantly encountered in this type of ports. The aim of the study was to investigate the nature of digital technologies in container ports and to reveal the major barriers to the adoption of Industry 4.0 in Turkish container ports. First, extant literature was reviewed, and the main obstacles to the adoption of Industry 4.0 were determined. Later, considering the literature findings, in-depth interviews were conducted with port managers. Then, content analysis was performed by examining transcripts and notes taken during the interviews using a professional computer-assisted qualitative data analysis software, MAXQDA-12. According to the findings, four main difficulties were identified as technological, operational, legal, and organizational difficulties. Operational barriers were revealed to be industry-related obstacles. Technological and operational challenges were the most frequently mentioned ones by the participants. Finally, the findings of the study were discussed, and suggestions were proposed to overcome those obstacles. [ABSTRACT FROM AUTHOR]

With the developing technology and automation, automatic labelling of images is of great importance for automatic mapping. However, the most significant disadvantage of this method is that the classes' labels cannot be generated automatically. In the current remote sensing literature, understanding and automatically labelling clusters obtained from the clustering process without a training phase is a problem that requires effective solutions. In this study, in order to solve this problem, we present a methodology that creates labels without any training phase. We use the bands in the image and Corine data in this process. The methodology uses a database created by examining the spectral characteristics of land classes from sample images collected from various geographies and time periods. The spectral index values ​​of the unlabelled classes obtained are evaluated using this database, and the relevant label is assigned to each class. This database was created by analyzing Sentinel-2 Level-1 images of the Mediterranean and the Black Sea regions in Turkey. Then, these labels compare with the Corine classes corresponds to each pixel according to the ruleset. This developed approach aims to automatically label land, a green agricultural area, forest, urban area, and uncultivated agricultural area. The reason for choosing these areas is that they are the areas that generally make up the environment and a large part of the ecosystem, which are important areas that many researchers frequently use in their studies. The methodology developed was tested with Sentinel 2 images of Gemlik, Hatay regions from Turkey, and Agioi Apostoli region from Greece. The results of the accuracy analysis are 80%, 83%, and %82 for Gemlik, Hatay, and Agioi Apostoli areas. [ABSTRACT FROM AUTHOR]

Copyright of Yuzuncu Yil Universitesi Journal of Agricultural Sciences (YYU J Agr Sci) is the property of Yuzuncu Yil University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Introduction: Syndromic surveillance is designed for early detection of disease outbreaks. An important data source for syndromic surveillance is free-text chief complaints (CCs), which are generally recorded in the local language. For automated syndromic surveillance, CCs must be classified into predefined syndromic categories. The n-gram classifier is created by using text fragments to measure associations between chief complaints (CC) and a syndromic grouping of ICD codes. Objectives: The objective was to create a Turkish n-gram CC classifier for the respiratory syndrome and then compare daily volumes between the n-gram CC classifier and a respiratory ICD-10 code grouping on a test set of data. Methods: The design was a feasibility study based on retrospective cohort data. The setting was a university hospital emergency department (ED) in Turkey. Included were all ED visits in the 2002 database of this hospital. Two of the authors created a respiratory grouping of International Classification of Diseases, 10th Revision ICD-10-CM codes by consensus, chosen to be similar to a standard respiratory (RESP) grouping of ICD codes created by the Electronic Surveillance System for Early Notification of Community-based Epidemics (ESSENCE), a project of the Centers for Disease Control and Prevention. An n-gram method adapted from AT&T Labs' technologies was applied to the first 10 months of data as a training set to create a Turkish CC RESP classifier. The classifier was then tested on the subsequent 2 months of visits to generate a time series graph and determine the correlation with daily volumes measured by the CC classifier versus the RESP ICD-10 grouping. Results: The Turkish ED database contained 30,157 visits. The correlation (R2) of n-gram versus ICD-10 for the test set was 0.78. Conclusion: The n-gram method automatically created a CC RESP classifier of the Turkish CCs that performed similarly to the ICD-10 RESP grouping. The n-gram technique has the advantage of systematic, consistent, and rapid deployment as well as language independence. [ABSTRACT FROM AUTHOR]

Copyright of Turkish Journal of Pathology is the property of Turkish Journal of Pathology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)