Biometrische Verfahren werden häufig im Rahmen der Authentifizierung zum Schutz wichtiger Daten und Systeme eingesetzt. Hierzu werden biometrische Referenzen gespeichert, die Informationen über biometrische Charakteristika der betroffenen Individuen enthalten. Um diese biometrischen Referenzen in offenen und verteilten biometrischen Systemen nutzen zu können, ist eine Standardisierung der Daten...

هدف: هدف از انجام این پژوهش مقایسه اثربخشی طرح‌واره‌درمانی و واقعیت‌درمانی بر انعطاف‌پذیری روان‌شناختی خودتنظیمی هیجانی مربیان پیش‌دبستانی شهرستان شهرکرد بود. روش: جامعه آماری کلیة شهرکردبودند که بین آنها تعداد 45 نفر به صورت نمونه‌گیری در دسترس انتخاب گمارش تصادفی 2 گروه آزمایش و1 کنترل (هر کدام 15 نفر) گمارده شدند. ابزار اندازه‌گیری شامل پرسشنامه‌های (بوند همکاران، 2011) هیجانی(مارس، 1983) بو...

Several application domains such as molecular biology and geography produce a tremendous amount of data which can no longer be managed without the help of efficient and effective data mining methods. One of the primary data mining tasks is clustering. However, traditional clustering algorithms often fail to detect meaningful clusters because most real-world data sets are characterized by a high...

This paper presents a new method for detecting, locating and classifying overhead contact systems (catenary systems) in point clouds collected by mobile mapping systems (MMS) on rail roads. Contrary to many other application types, railway embankments are highly regulated and standardized. Railway infrastructure geometric relations remain roughly unchanged within established regions and have si...

Density-based clustering is a sort of clustering analysis methods, which can discover clusters with arbitrary shape and is insensitive to noise data. The efficiency of data mining algorithms is strongly needed with data becoming larger and larger. In this paper, we present a new fast clustering algorithm called CURD, which means Clustering Using References and Density. Its creativity is capturi...

With increasing complexity of manufacturing processes, the volume of data that has to be evaluated rises accordingly. The complexity and data volume make any kind of manual data analysis infeasable. At this point, data mining techniques become interesting. The application of current techniques is of complex nature because most of the data is captured by sensor measurement tools. Therefore, ever...

In this paper, an objective function based on minimal spanning tree (MST) of data points is proposed for clustering and a density-based clustering technique has been used in an attempt to optimize the specified objective function in order to detect the ―natural grouping‖ present in a given data set. A threshold based on MST of data points of each cluster thus found is used to remove noise (if a...