Core point pixel-level localization by fingerprint features in spatial domain

<abstract> <p>Singular point detection is a primary step in fingerprint recognition, especially for fingerprint alignment and classification. But in present there are still some problems and challenges such as more false-positive singular points or inaccurate reference point localization. This paper proposes an accurate core point localization method based on spatial domain features of fingerprint images from a completely different viewpoint to improve the fingerprint core point displacement problem of singular point detection. The method first defines new fingerprint features, called furcation and confluence, to represent specific ridge/valley distribution in a core point area, and uses them to extract the innermost Curve of ridges. The summit of this Curve is regarded as the localization result. Furthermore, an approach for removing false Furcation and Confluence based on their correlations is developed to enhance the method robustness. Experimental results show that the proposed method achieves satisfactory core localization accuracy in a large number of samples.</p> </abstract>

Study of Tao Xingzhi's View on Life Education

Tao Xingzhi is one of the most famous educators in modern China. The concept of life education is one of the most important components of his education ideological system. It is a comprehensive system ranging from the education content and methods to the purpose of education. The concept of "life is education" and "society are school" are its core point. The goal, content, the method of life education have been elaborated. These educational theories are still shining today, and still have important reference value for China's current educational innovation, cultural innovation and the implementation of the strategy of strengthening educational power.

A clustering algorithm to evaluate the attitude of Brazilian researchers regarding open access research data

The core point of the research process are data. They are records from scientific investigation, which support the results published in journals and conferences. Making research data available in open access digital repositories has many advantages, such as increasing the visibility of associated publications, reproducing experiments, and validating results. In Brazil, full and unrestricted sharing of them is not yet accepted by most researchers. This paper presents an initial study to describe a model analyzing the attitude of Brazilian researchers concerning open access research data. A clustering algorithm was used to identify different research profiles. The achieved results indicate the main reasons why the researchers object to share their data.

Translation process and information dissemination in a multilingual world

Historically people who were close to translation have always been working in a multilingual world. The global culture of translation is more an exciting practice that allows considering the changes and transformations taking place in this field. This paper touches upon the current theories of globalization and it influence on translation. It makes attempts to understand the significance of translation in a global context, defining its analytical place in globalization and its core point in the global culture and information dissemination.

Islamic Law And Indonesianness: Critical Study Of Graduations Dissertations Of Doctorate Program Of Islamic Law Islamic University Of Indonesia Yogyakarta

The article below tries to investigate the result of dissertations that have been written by the students of doctorate program of Islamic law, the Faculty of Islamic Studies, Islamic University of Indonesia Yogyakarta from 2012-2019. This study's objective was to map the result of the study of Islamic Law and Indonesian-ness of students dissertations from 2012-2019 about 19 dissertations from the academic core point of view regarding Islamic law and Indonesianness. This research's main problem was how do (did) the students mentioned above finish their dissertation of Islamic Law, and what the characteristic of approach and methodology did they apply in the dissertation. This research’s approach and methodology have been integrated social sciences (sociology) and humanity sciences (history and anthropology), and the analysis that applied was qualitative analysis with interactive model. The result of this study has been revealed that the number of dissertations that have been produced during 2012-2019 regarding dissertations with the theme of Islamic legal and Indonesian studies. The dissertations that be sources are dissertations of Doctorate Program the Faculty of Islamic Studies Islamic University of Indonesia. The contributions of these dissertations to enrich of a database on Islamic law and Indonesian-ness. From the dissertations, there are several variants of themes, scientific fields, approaches, and analysis of Islamic law and Indonesianness studies. In the study of the dissertation's quality, this research found that it still needed to be developed further to answer the issues that were very important in the study of Islamic law and Indonesian. There needs to be encouragement from various parties to conduct dissertation studies or research that more focused on the study of Islamic and Indonesian law to make a real contribution to the development of Islamic law and Indonesian.

Clustering applications of IFDBSCAN algorithm with comparative analysis

Density Based Spatial Clustering of Application with Noise (DBSCAN) is one of the mostly preferred algorithm among density based clustering approaches in unsupervised machine learning, which uses epsilon neighborhood construction strategy in order to discover arbitrary shaped clusters. DBSCAN separates dense regions from low density regions and simultaneously assigns points that lie alone as outliers to unearth the hidden cluster patterns in the datasets. DBSCAN identifies dense regions by means of core point definition, detection of which are strictly dependent on input parameter definitions: ε is distance of the neighborhood or radius of hypersphere and MinPts is minimum density constraint inside ε radius hypersphere. Contrarily to classical DBSCAN’s crisp core point definition, intuitionistic fuzzy core point definition is proposed in our preliminary work to make DBSCAN algorithm capable of detecting different patterns of density by two different combinations of input parameters, particularly is a necessity for the density varying large datasets in multidimensional feature space. In this study, preliminarily proposed DBSCAN extension is studied: IFDBSCAN. The proposed extension is tested by computational experiments on several machine learning repository real-time datasets. Results show that, IFDBSCAN is superior to classical DBSCAN with respect to external & internal performance indices such as purity index, adjusted rand index, Fowlkes-Mallows score, silhouette coefficient, Calinski-Harabasz index and with respect to clustering structure results without increasing computational time so much, along with the possibility of trying two different density patterns on the same run and trying intermediary density values for the users by manipulating α margin.