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Comprehensive evaluation of the reliability of Internet of Things was achieved on the basis of evaluation data. First, a comprehensive evaluation model of reliability of Internet of Things was constructed according to its architecture, and evaluation ...

This paper describes an Android mobile app we developed to simplify the shopping experience of participants in the Special Supplemental Nutrition Program for Women, Infants, and Children (WIC), which provides low-income families vouchers to purchase ...

In this paper, we propose a method of data processing for swept volumetric display and its experimental result. The proposed method consists of four main parts: data acquiring, data pre-processing, data transmitting, and data post-processing. Different ...

We propose a reduced algebraic cost based on pairwise epipolar constraints for the iterative refinement of a multiple view 3D reconstruction. The aim is to accelerate the intermediate steps required when incrementally building a reconstruction from ...

In this paper we present a case study on The Open Racing Car Simulator (TORCS) video game with the aim of developing a classifier to recognize user enjoyment from physiological signals. Three classes of enjoyment, derived from pairwise comparison of ...

In the paper, put forward Classification and discrimination for Traditional Chinese Medicine' Nature (TCMN) based on partial least squares-discriminant analysis (PLS-DA). The method was proved to be feasible and effective after tested with 6 type warm ...

Anomaly intrusion detection is an important issue in computer network security. As a step of data preprocessing, attribute normalization is essential to detection performance. However, many anomaly detection methods do not normalize attributes before ...

There are only very few approaches to normalizing object-oriented data. In this paper we present an approach to normalization of the object-oriented conceptual model based on UML class diagrams. First part of the paper describes the current status in ...

Using certain artificial intelligence techniques, stock data mining has given encouraging results in both trend analysis and similarity search. However, representing stock data effectively is a key issue in ensuring the success of a data mining process. ...

Reliable microarray experiments are extremely computationally demanding given the need to perform complex calculations over a multitude of data. Grid computing can provide a remedy to this problem through accelerating the computations associated with ...

Camera calibration is necessary to obtain 3D information from 2D images of a scene. Different techniques exist which are based on photo-grammetry or self-calibration. As a result of the calibration the intrinsic and extrinsic camera parameters are ...

During the data processing based on population data warehouse, a large scale of evolutive information was produced accompany the data mining and knowledge discovery, which is very important for the final rule. This paper introduces the research of a ...

The overwhelming amount and diversity of clinical data that may be collected from patients have necessitated the development and use of sophisticated processing methods in order to make the data useful in medical applications. Artificial neural networks ...