The energy use in buildings is highly influenced by outdoor temperature changes. In the contest of nowadays climate change, its impact on sector important and needs to be assessed. This study investigates how heat consumption (HC) existing regional building stock, located a temperate Northern part Europe (Belgium), will future First, Seasonal Auto-Regressive Integrated Moving Average (SARIMA), ...

To control the exponential growth of malware files, security analysts pursue dynamic approaches that automatically identify and analyze malicious software samples. Obfuscation and polymorphism employed by malwares make it difficult for signature-based systems to detect sophisticated malware files. The dynamic analysis or run-time behavior provides a better technique to identify the threat. In t...

Virtualization is widely used for critical services like Cloud computing. It is desirable to formally verify virtualization systems. However, the complexity of the virtualization system makes the formal analysis a difficult task, e.g., sophisticated programs to manipulate low-level technologies, paged memory management, memory mapped I/O and trusted computing. In this paper, we propose a formal...

Increasing requirements such as higher transaction rates, shorter response times etc., make it necessary to parallelize existing database management systems and to implement them on multiprocessors. Shared memory multiprocessors are not arbitrarily scalable, and thus do not meet future requirements. Therefore, it makes sense to implement databases on large-scale distributed memory multicomputer...

Rakkan is a Japanese word for the signature and/or seal of the artist for a completed painting. In this paper, we present a binarization scheme for ukiyo-e Rakkan extraction. The Rakkan characters are extracted based on both lightness and color information in L∗a∗b∗ color space using k-means clustering. Different thresholding and noise removal methods are applied to different types of Rakkan im...

Readability of document images is one core issue when analysing historical documents. One way to improve the readability of those document images is image binarization. By separating the written text from its background, documents degraded by, e.g., stains or faded ink become better readable. Due to the large quantity of available historical document images, this binarization needs to be done e...

Data grid services have been used to deal with the increasing needs of applications in terms of data volume and throughput. The large scale, heterogeneity and dynamism of grid environments often make management and tuning of these data services very complex. Furthermore, current high-performance I/O approaches are characterized by their high complexity and specific features that usually require...

When a multidatabase system contains textual database systems (i.e., information retrieval systems), queries against the global schema of the multidatabase system may contain a new type of joins-joins between attributes ol textual type. Three algorithms for processing such a type of joins are presented and their l/O costs are analyzed in this paper. Since such a type of joins often involves doc...

Text extraction from natural scene images is an emerging field in computer graphics. Extracted text contains important information that can be used for various purpose like vehicle number plate detection to identify the vehicle, to provide information of surrounding to visually impaired persons, preservation of information of historical documents etc. Binarization is a key process in text extra...

Binary image is the essential format for document image processing, and the operation of the subsequent steps depends on the quality of the binarization process. The objective of this research is to propose a new binarization method based on adaptive multilayer-information for restoration of degraded historical document images. This paper focuses on degraded Thai historical document images, whi...