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In this study, we design and present the novel wearable system with the interactive posture caption and recognition functions based on the non-vision over the ZigBee wireless sensor network (ZigBee-WSN). There are two type sensors, 3-axis accelerometer and clip type, to be employed in our wearable system. These sensors are arranged on user's four limbs such that the posture information can be gathered...
A new parallel programming framework for DNA sequence alignment in homogeneous multi-core processor architectures is proposed. Contrasting with traditional coarse-grained parallel approaches, that divide the considered database in several smaller subsets of complete sequences to be aligned with the query sequence, the presented methodology is based on a slicing procedure of both the query and the...
This paper provides a comprehensive analysis of algorithms for spatio-temporal pattern mining, which helps to select appropriate algorithms for a given Moving Objects Database. We can distinguish basic and extended comparing functions. The basic ones correspond to research fields related to pattern mining. The extended comparing functions extend the analysis to additional aspects. All these functions...
Gene regulation is one of the most important processes in the molecular biology, in the last years the microRNA molecule, one of the non-coding RNAs involved in the process, has been the focus of attention for several studies. The computational research on this area has gained a notable importance, considering the low amount of experimental information available and the lack of understanding of the...
Discovery biological organisation of the cell in modules network is a challenging task. Currently, approaches based on a controlled vocabulary, as Gene Ontology, to identify the function similarity among a pair of genes have developed. We present RGO: a rewriting of the GO aiming at obtaining a more compact and informative ontology, leading to closer biological regulated GO terms. The RGO will help...
The main intention of this paper is to introduce a new role-based approach to self-healing monitoring. Together with that we are going to provide an overview of the existing approaches to the monitoring of distributed systems using self healing features. Starting with a discussion of autonomous monitoring systems - the ones that do not need any user interaction to make a decision, we will come to...
When a large-scale disaster occurs, information sharing among administration, residents, and volunteers is indispensable. However, as reported, a lot of examples show that it is difficult to use well. The Disaster Information System is not built on the infrastructure which the system failure was considered at the disaster is nominated for the cause. In this study, we focus on the operation usability...
K-means Clustering is an important algorithm for identifying the structure in data. K-means is the simplest clustering algorithm. This algorithm uses predefined number of clusters as input. The original algorithm is based on random selection of cluster centers and iteratively improving the results. However there are two major limitations in this approach. First, the need for number of clusters in...
Repetitive substructures within a protein play an important role in understanding protein folding and stability, biological function, and genome evolution. About 25% of all proteins contain repeat structures for eukaryote species and most of them do not have the resolved structural information yet. Therefore, this study aimed to design a comprehensive system for identifying internal repeats either...
Current sensor network technology for detection and tracking are focused solely in terms of static networks and suffers from device specific inadequacies such as lack of coverage, power and fault tolerance. Failing nodes result in coverage loss or breakage in connectivity and hence there is a pressing need for a robust system. In this work a unique sensor network is fielded that uses multiple frequencies...
Ribonuclease 3 (RNase3) is a member of the human RNaseA superfamily. It is led by a 27-residue signal peptide and secreted into body fluid to eliminate the infection of microbial pathogens in innate immune systems. The signal peptide of RNase3 (RNase3sp) not only directs protein secretion via endoplasmic reticulum (ER) and Golgi apparatus, but also its N-terminal 17 amino acid residues (RNase3sp1-17)...
Every function in a living cell is accomplished by proteins interactions. The capability of predicting such interactions gives greater insight in the study of many diseases and provides valuable information in the study of active small molecules. Here, we formulate the problem as a binary task on information extracted only from amino acid sequences. We apply a k-Nearest Neighbors classification technique...
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