results the k. pneumonia isolates were resistant to erythromycin (70%), cefixime (53.3%), tetracycline (50%) and ceftazidime (36.6%). the amplification of teta and tetb genes of k. pneumonia revealed that all of the isolates harbored these genes. conclusions resistance to tetracycline and other antibiotics, and the presence of various resistance genes in k. pneumonia strains are alarming signs ...

We present a generalized method for calculating the k-shell structure of weighted networks. The method takes into account both the weight and the degree of a network, in such a way that in the absence of weights we resume the shell structure obtained by the classic k-shell decomposition. In the presence of weights, we show that the method is able to partition the network in a more refined way, ...

This paper investigated K-means algorithm, a well-known clustering algorithm. K-means clustering algorithms have some shortfalls and defects, and one defect is reviewed in this study. One of the disadvantages of K-means clustering algorithms is that they can produce clusters that do not always include all the correct components. It is due to the presence of the error rate during the clustering ...

In this paper, we propose a decentralized method for maximizing lifetime of data collection wireless sensor networks (WSNs) by making minimal number of nodes operate and putting other nodes in sleep. We divide a target field into multiple grids and make nodes in each grid locally achieve k-coverage. We can reduce energy consumption of WSN by minimizing the number of active nodes required for kc...

The K-means algorithm is quite sensitive to the cluster centers selected initially and can perform different clusterings depending on these initialization conditions. Within the scope of this study, a new method based on the Fuzzy ART algorithm which is called Improved Fuzzy ART (IFART) is used in the determination of initial cluster centers. By using IFART, better quality clusters are achieved...

Data mining isa process of extracting interested hidden information from large databases. It can be applied on many databases but kind of patterns to be found is specified by various data mining techniques.Clustering is one of the data mining techniques that partitions database into clusters such that data objects in same clusters are similar and data objects belonging to different cluster are ...

Many studies have been carried out on lip reading, most of those works are based on color images, while some essential features might not be obtained, like inner lip information. In this paper, RGBD camera will be introduced for improving the recognition rate of lip reading. We try to complete lip reading through using only gray-scale images. Thirteen groups of words are given, and we present e...

This paper aims to classify texts in Indonesian language into emotion expression classes. The data were taken from 6 basic emotion classes whose training documents and test documents were obtained from articles in www.kompas.com, www.suaramerdeka.com, and www.detik.com. The text weighing was processed by using TFID method which is an integration of Term Frequency (TF) and Inverse Document Frequ...

Technical Report HPCLAB-SCG 2/02-06 (revised 3/06) LABORATORY: High Performance Information Systems Laboratory GRANTS: University of Patras “Karatheodori” Grant; Bodossaki Foundation Graduate Fellowship. REPOSITORY http://scgroup.hpclab.ceid.upatras.gr REF: In Advances in Web Intelligence and Data Mining, M. Last, P.S. Szcepaniak, Z. Volkovich and A. Kandel eds., Springer Studies in Computation...

Using the cavity equations of Mézard, Parisi, and Zecchina [Science 297 (2002), 812; Mézard and Zecchina, Phys Rev E 66 (2002), 056126] we derive the various threshold values for the number of clauses per variable of the random K-satisfiability problem, generalizing the previous results to K ≥ 4. We also give an analytic solution of the equations, and some closed expressions for these threshold...