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The impact of cultural heritage on destination branding: Case of Bornova and heritage tourism
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Evaluation of Transition Barriers to Circular Economy: A Case from the Tourism Industry
Get PDFCurrent economic system exhibits a linear path by using resources to produce goods and disposing of waste after their consumption. Circular economy (CE) turns this linear pattern into a circular one by using waste as a resource for another process. It focuses on environmental responsibility, efficiency, renewable resources, preventing wastage, and, minimizing consumption. CE helps the sustainability of the economy by restructuring the production processes to use fewer resources and extending the lifetime of the products. Although there are powerful drivers for transition to CE firms often face significant barriers while implementing their plans. This study aims to evaluate the barriers that the tourism industry would face during the transition process and put them in order according to their importance. We used the Interval Type-2 Fuzzy Analytical Hierarchy Process (FAHP) method which is based on a pairwise comparison of relevant criteria to calculate the weights of importance of these barriers. We conducted semi-structured interviews with four experts from the tourism industry. According to our results, the most important barrier is organizational structure/infrastructure that creates inconvenience with the supply chain. The results are expected to be a guide for the firms in the tourism industry for their transition to CE applications
Experimental analysis for self-cleansing open channel design
No full textSelf-cleansing is a hydraulic design concept for drainage systems for mitigation of sediment deposition. Experimental studies in the literature have mostly been performed in circular channels. In this study, experiments were conducted in five cross-sectioScientific and Technological Research Council of Turkey (TUBITAK)Turkiye Bilimsel ve Teknolojik Arastirma Kurumu (TUBITAK) [114M283]; Scientific Research Projects Unit of Istanbul Teknik Universitesi [37973]Engineering, Civil; Water ResourcesEngineering; Water Resource
Reading 19th century architectural and interior space reflections of modernization through the literary space: Émile zola’s nana
Get PDFThe interdisciplinary study of architecture across many fields adds meaning to architecture. Literature, which is one of the areas that works together with architecture, conveys information to the reader on many topics, such as periods, daily life practices, social problems, and human-space relations. Analysis of a literary work combines literature and architecture while expanding the boundaries of architecture, thereby contributing to both disciplines. This study reads the spatial components drawn from social problems through one literary text. Specifically, it reveals the social and spatial results of modernism experienced in 19th-century Paris in Nana (1880), the ninth book of Emile Zola’s (1840-1902) 20-book Rougon-Macquart series. A qualitative methodology was used for the literature review and analysis of the novel. This case study revealed two main conflicts at the birth of modernism: The issue of class discrimination and the issue of gender. It is displayed that such an interdisciplinary spatial reading can directly relate literary texts and architecture
Recurrent Trend Predictive Neural Network for Multi-Sensor Fire Detection
Get PDFWe propose a Recurrent Trend Predictive Neural Network (rTPNN) for multi-sensor fire detection based on the trend as well as level prediction and fusion of sensor readings. The rTPNN model significantly differs from the existing methods due to recurrent sensor data processing employed in its architecture. rTPNN performs trend prediction and level prediction for the time series of each sensor reading and captures trends on multivariate time series data produced by multi-sensor detector. We compare the performance of the rTPNN model with that of each of the Linear Regression (LR), Nonlinear Perceptron (NP), Multi-Layer Perceptron (MLP), Kendall- \tau combined with MLP, Probabilistic Bayesian Neural Network (PBNN), Long-Short Term Memory (LSTM), and Support Vector Machine (SVM) on a publicly available fire data set. Our results show that rTPNN model significantly outperforms all of the other models (with 96% accuracy) while it is the only model that achieves high True Positive and True Negative rates (both above 92%) at the same time. rTPNN also triggers an alarm in only 11 s from the start of the fire, where this duration is 22 s for the second-best model. Moreover, we present that the execution time of rTPNN is acceptable for real-time applications
On Menger Spaces Via Ideals
No full textIn this paper, we define I-Menger, I-star Menger, and I-strongly star Menger spaces using ideals, and give their relations to related spaces. We also investigate some properties of them. Finally, we show that the concepts of I-Menger, I-star Menger, and I-strongly star Menger are equivalent in the class of paracompact spaces