Perimeter intrusion detection systems (PIDS) play a crucial role in safeguarding critical infrastructures from unauthorized access and potential security breaches. Security is the main concern everywhere world. There are already many PIDS available, but PID still lacking terms of probability detection, false intrusion, activity recognition intrusion. To solve above problem, we designed prototyp...

this study focuses on the effect of social and cultural determinants on generation gap in tehranian families in 2011. the purpose of this study is to determine effective factors on generation gap in tehranian families, analytical and empirical patterns and be surveyed by related theories and effective factors. the research was prepared by questions including whether there is a relationship betw...

• Candidates Generation and Test (Agrawal &Srikant, 1994; Heikki, Toivonen &Verkamo, 1994; Zaki et al., 1997): Starting at k=0, it first generates candidate k+1 itemsets from known frequent k itemsets and then counts the supports of the candidates to determine frequent k+1 itemsets that meet a minimum support requirement. • Sampling Technique (Toivonen, 1996): Uses a sampling method to select a...

Synthetic data are widely used for evaluation, testing, and experimentation. However, there is a lack of systems, tools and datasets that can be used for benchmarking in the context of evolution. In the case of RDF, generation of synthetic data that change through time must take into account evolving paradigms and characteristics that make sense, rather than arbitrary insertions and deletions o...

We provide an open access multimodal brain-imaging dataset of simultaneous electroencephalography (EEG) and near-infrared spectroscopy (NIRS) recordings. Twenty-six healthy participants performed three cognitive tasks: 1) n-back (0-, 2- and 3-back), 2) discrimination/selection response task (DSR) and 3) word generation (WG) tasks. The data provided includes: 1) measured data, 2) demographic dat...

Classification aims to assign a data object to its appropriate class, what is traditionally performed through a small dataset model such as decision tree. Associative classification is a novel strategy for performing this task where the model is composed of a particular set of association rules, in which the consequent of each rule (i.e., its right-hand-side) is restricted to the classification...

While the availability of large and diverse datasets has contributed to significant breakthroughs in autonomous driving indoor applications, forestry applications are still lagging behind new forest would most certainly contribute achieving progress development data-driven methods for forest-like scenarios. This paper introduces a dataset called \textit{FinnWoodlands}, which consists RGB stereo...

In this paper we present a second generation VIZARD system being capable of rendering 256 datasets at interactive frame-rates providing high image quality. In contrast to the previous VIZARD system, we use dedicated memory to store the dataset on the PCI card. Lossy and redundant compression of the dataset has been eliminated. Interactive change of shading and classi cation parameters is enable...