The paper describes climatic conditions of the north-western part of Oscar II Land (Spitsbergen) based on meteorological data from 1975 to 2000, which were taken from Ny Ĺlesund and Kaffiöyra-Heggodden stations. The changes in annual courses of main climatic elements are investigated. However, the authors focused mainly on the analysis of summer climate, because most of the field work is conducted at this time of the year. Aside from the standard climatic analysis, the influence of atmospheric circulation on selected meteorological elements was also investigated. The climate of the north-western part of Oscar II Land was compared with the climates of the remaining areas of the western coast of Spitsbergen . It was found that the climate of the studied area differs considerably from the climate of the central-inner and southern parts of the western coast of Spitsbergen (areas represented by the Svalbard Lufthavn and Hornsund stations respectively). The differences in climatic elements, however, are not stable throughout the year and in particular seasons and months can even change signs. Thus, any generalisation of results obtained based on seasonal data is inadmissible. It was also found that the wind conditions of the Kaffiöyra region are more representative of the north-western part of Oscar II Land than are the wind conditions of the Ny Ĺlesund region.
The aim of this article is to present the relation between Christianity and Korean culture. The problem here is not the concept of Christianity, but the concept of Korean culture. In the Korean thought is hard to distinguish between religion and philosophy. Philosophy, religion and culture are synonyms for “philosophy of life”.
The original Korean philosophy is Shamanism and received from China Confucianism, Buddhism and Taoism. In the case of Christianity we have to consider Catholic Church, Protestant Church and Orthodox Church. Special attention we have to pay to the Korean theology, which is based on Korean tradition. Special role in the history of Catholic Church in Korea played Korean martyrs. Sanguis martyrum, semen christianorum.
Similarity assessment between 3D models is an important problem in many fields including medicine, biology and industry. As there is no direct method to compare 3D geometries, different model representations (shape signatures) are developed to enable shape description, indexing and clustering. Even though some of those descriptors proved to achieve high classification precision, their application is often limited. In this work, a different approach to similarity assessment of 3D CAD models was presented. Instead of focusing on one specific shape signature, 45 easy-to-extract shape signatures were considered simultaneously. The vector of those features constituted an input for 3 machine learning algorithms: the random forest classifier, the support vector classifier and the fully connected neural network. The usefulness of the proposed approach was evaluated with a dataset consisting of over 1600 CAD models belonging to 9 separate classes. Different values of hyperparameters, as well as neural network configurations, were considered. Retrieval accuracy exceeding 99% was achieved on the test dataset.
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