Arash Pishravian and Masoud Reza Aghabozorgi Sahaf
Source Separation by Adaptive Estimation of Score Function Difference, Proceedings of ICA 2004, Granada, Spain, 2004, pp. 9-17.
 VLASSIS, N.-MOTOMURA, Y. : Efficient Source Adaptivity in Independent Component Analysis, IEEE Transaction on Neural Networks 12 No. 3 (2001), 559-566.
 BABAIE-ZADE, M.-JUTTEN, C. : A General Approach for Mutual Information Minimization and its Application to Blind Source Separation, Signal Processing 85 No. 5 (2005), 975-995.
 AMARI, S.-CICHOCKI, A.-YANG, H. H. : A New Learning
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 Altman, E. I., Saunders, A.: Credit risk measurement: Developments over the last 20 years. Journal of banking & finance, 21(11), pp. 1721-1742 (1997).
 Weimin Chen, Guocheng Xiang, Youjin Liu, Kexi Wang, Credit risk Evaluation by hybrid data mining technique, Systems Engineering Procedia, 3 (2012)
 Kambal, E.; Osman, I.; Taha, M.; Mohammed, N.; Mohammed, S. Credit scoring using data mining
Attila Bölcskei, András Zsolt Kovács and Domen Kušar
Spatial ability development is of paramount importance in engineering training, especially for architects. The paper aims to compare results achieved by the world-wide Mental Rotation Test (MRT) at the University of Ljubljana and at the Ybl Faculty of SzIU in Budapest, with respect to total scores, improvement and hand preferences. The paper concludes that the mental rotation aspect of spatial intelligence can significantly be developed by Descriptive Geometry courses in both countries. Sophisticated statistical analysis, however, leads to new ideas in scoring MRT. The main goal of the paper is to present an alternative scoring system, which seems to be fairer and provides the expected statistical behavior of samples.
Reliability prediction of spinning machines can result in a time-saving and cost-saving development process with high reliability. Based on an analysis of failure times among systems and subsystems, a simulation method for reliability prediction of spinning machines is proposed by using the Monte Carlo simulation model. Firstly, factor weights are determined according to the fuzzy scoring and analytic hierarchy process. According to the status of reliability growth, growth coefficients are proposed based on reliability influencing factor weights and fuzzy scoring. To achieve the prediction of reliability distribution law, reliability index, and fault frequency, the reliability prediction model is constituted by combining the reliability growth coefficient and the Monte Carlo simulation model. Simulation results for spinning machines are obtained via the model thus built, which are confirmed with a practical example.
Roofing is an important element in the construction of the roof. It is also one of the essential elements of the whole building. The choice of roofing should depend on technical parameters that affect the quality of the materials used and the price. The present paper is a comparative analysis of the properties of five roofing materials selected as examples with respect to twelve parameters. As can be seen from the comparative analysis of the roofing parameters, roofing tile is by far the best material, receiving the highest score in the ranking
., K. (2001). Environmental statistics with S-PLUS . CRC Press, USA.
 Eyduran, E., Topal, M. and Sonmez, A.Y. (2010). Use of factor scores in multiple regression analysis for estimation of body weight by several body measurements in brown trouts (Salmo trutta fario). Int. J. Agric. Biol ., 12, 611-615.
 Suhr, D. (2005). Principal Component Analysis vs. Exploratory Factor Analysis. In SUGI 30 Proceedings, 10-13 April 2005 . Philadelphia, Pennsylvania. Web: http://www2.sas.com/proceedings/sugi30/203-30.pdf.
 Singovszka, E., Balintova, M
Paul Woolliscroft, Dagmar Caganova, Milos Cambal and Jana Makraiova
The need to develop a clear understanding of multicultural competencies is essential to fully develop a strategic approach to human capital management (HCM). As Slovak workplaces become more diverse, culture and intercultural management has gained greater significance and the adoption of a strategic approach is now critical to the success and competitive advantage of the organisation. Moreover, it is necessary to address this field of management to ensure the high performance of organisations, especially those operating within a global setting. The focus of the research is on the identification of multicultural competencies in the context of Slovak industrial enterprises to measure and identify linkages between cultural aspects and the strategic business performance.
Azmat Hussain, Yueqi Zhong, Tayyab Naveed, Zhicai Yu, Zhang Xi and Wu Ge
Fabric quality and performance is assessed subjectively by the customer using an important and complex phenomenon of fabric hand. Objectively, it is evaluated with complicated and expensive instruments, such as Kawabata Evaluation System for Fabrics (KES-F) and Fabric Assurance with Simple Testing (FAST). The present research explores a non-touch objective approach, i.e., three-dimensional (3D) drape model to estimate fabric hand. Fabric hand prediction was testified on different commercial fabrics spanning a wide range of areal weight, thickness, yarn count, and fabric density. Fabric objective ranks based on drape indicators using principal component analysis (PCA) were compared with subjective ranks of fabric hand. Additionally, fabric drape is evaluated three dimensionally and a new drape indicator drape height (DH) is proposed. The cosine similarity results have proved fabric drape as an objective alternate to fabric hand.