We present a set of process patterns that can be used to as a systematic way of analysing the security requirements in a novel domain, taking ubiquitous healthcare as an example.

Past dietary patterns may be more important than recent dietary patterns in the aetiology of chronic diseases because of the long latency in their development. We developed an instrument to recall vegetarian dietary patterns during the lifetime and examined its reliability of recall over 5·3 and 32·6 years on average. The short-term/5-year recall ability study (5-RAS) was done using 24 690 part...

Texture segmentation is a process of segmenting an image into differently textured regions. This paper is aimed at the segmentation of multitextured images by using Optimized Local Ternary Patterns (OLTP), a new texture model which is recently proposed for texture analysis. This paper uses unsupervised texture segmentation method with the application of optimized local ternary patterns for find...

We present a new approach to a componentware development methodology based on a system of process patterns. We argue that organizing the development process by means of a pattern system results in higher flexibility compared to traditional ways of defining development processes. This is especially important in the context of componentware. Finally, we propose a pattern catalog with a selection ...

In this paper we evaluate several extensions of Local Binary Patterns to color images. In particular, we investigate their robustness with respect to changes in the illuminant color temperature. To do so, we recovered the spectral reflectances of 1360 texture images from the Outex 13 data set. Then, we rendered the images as if they were taken under 33 different illuminants. For each combinatio...

Purpose In this research, the main purpose is to use a suitable structure predict trading signals of stock market with high accuracy. For purpose, two models for analysis technical adaptation were used in study. Design/methodology/approach It can be seen that support vector machine (SVM) particle swarm optimization (PSO) where PSO as fast and accurate classification search problem-solving space...