the Intrusion Detection System (IDS) is tool which detects an unauthorised, misuse of computer system and provides information security. An intrusion detection system (IDS) is combined with hardware and software elements that work together to find unexpected events which may indicate an attack will happen, is happening, or has happened. Network intrusion detection based on anomaly detection pro...

Abstract. Daily mean land surface temperatures (LSTs) acquired from polar orbiters are crucial for various applications such as global and regional climate change analysis. However, thermal sensors can only sample the effectively with very limited times per day under cloud-free conditions. These limitations have produced a systematic sampling bias (ΔTsb) on daily LST (Tdm) estimated traditional...

-Intrusion detection system must be capable of known and unknown vulnerabilities. We already studied the previous problems which includes detection of known vulnerabilities and unknown vulnerabilities. In order to obtain good accuracy a relevant or efficient dataset should be there to detect the known attacks and unknown attacks. Therefore, there are numerous security systems and intrusion dete...

Text-detection is a well-established topic within the document recognition domain, but detecting text in natural scenes has proved to be considerably harder due to the large variability of text appearances, and due to dominating clutter. In this paper, we begin with a practical model for text appearance and use it to motivate the design of a text detection system consisting of two stages: a hyp...

Most of datasets in open data portals are mainly in tabular format in spreadsheet, e.g. CSV and XLS. To increase the value and reusability of these datasets, the datasets should be made available in RDF format that can support better data querying and data integration. However, publishing and querying RDF requires different knowledge and skills. In this poster, we present a platform for publish...

Morphological Generation is the task of producing the appropiate inflected form of a lemma in a given textual context and according to some morphological features. This paper describes and evaluates wide-coverage morphological lexicons and a Decision Tree algorithm that perform Morphological Generation in Spanish at state-of-the art level. The Freeling, Leffe and Apertium Spanish lexicons, the ...

In this paper, we present a novel framework for semi-automatically creating linguistically challenging microplanning data-to-text corpora from existing Knowledge Bases. Because our method pairs data of varying size and shape with texts ranging from simple clauses to short texts, a dataset created using this framework provides a challenging benchmark for microplanning. Another feature of this fr...