PART COLLECTION APPLICATION WITH INDOOR MAPPING METHOD Academic Advisor: Assoc. Prof. Dr. Oktay YILDIZ Today, mapping systems are widely used. However, many satellite-based positioning systems, which are successful in closed areas such as shopping malls, airports, hospitals and factories, and in open areas such as GPS, cannot be sufficient due to the lack of viewing angle or low base station recording quality. For this reason, many methods and technologies are still being developed in order to achieve the best performance with low cost in closed areas. Within the scope of this project, suitable technologies for indoor positioning will be examined, a sample factory layout will be created, and an application will be developed for the purpose of collecting the parts whose positions are determined in the shortest way and delivering them to the target point with the least loss of time.
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EFFECTIVE TURKISH SEARCH ENGINE BASED ON SEMANTIC SEARCH Academic Advisor: Assoc. Prof. Dr. Oktay YILDIZ Semantic search is an important field of study that promises to produce more accurate answers to user's queries by taking advantage of the availability of explicit semantics of information. For example, when performing a search for “electrical devices” using traditional word-based search technologies, results that usually contain only the terms “electrical devices” will be returned. However, the user is interested in and electrically operated iron, oven, vacuum cleaner, etc. It will be overlooked because the terms "electrical devices" are not mentioned in the devices. In the context of Semantic search, where the meaning of its content is made clear, the meaning of the keyword can be revealed. In addition, the underlying semantic relationships of the metadata can be used to search for relevant information and return more accurate results. In the proposed project work, a search engine that performs semantic searches for Turkish texts will be implemented. |
Students' Achievement in the Entrepreneurship Competition
Invitation to TÜBİTAK BİLGEM YTE Training
Prof. Dr. Şeref Sağıroğlu has been selected as a Highly Cited Scholar.
The 9th International Conference on Computer Science and Engineering (UBMK 2024)
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