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Due to significant environmental changes in the telecommunications market, network failures affect socioeconomic activities more than ever before. In this paper, we investigate the statistical characteristics of interval, duration, and number of users affected for serious network failures, which are defined as network failures that last for more than two hours and affect more than 30,000 users, that...
Given the emergence of the wireless technologies in the recent past, their utilities in both home and industrial applications have taken new shapes in various dimensions. Along with this progressive growth is the substantial emergence of the network attackers as they are finding new bases and platforms for launching network attacks. Existing wireless security standards are not persistent enough under...
In this paper, we discuss a method to define semi-automatically fuzzy partition rules to provide a powerful and accurate insight into cardiac arrhythmia. As suggested by our evaluation, this provide a robust, scalable, and accurate system, which can successfully tackle the challenges posed by the utilization of big data in the medical sector.
Large amount of contents in the Internet have increased loads of contents servers, networks and data centers, which may degrade quality of service. To solve this problem, there is a method that some mirror servers providing the same contents are located on a network and a request is navigated to one of the mirror servers. As the location of the mirror servers affects the quality of service, it is...
This paper presents a prototype system for managing ontological data from RDF semantic repositories, via an intuitive, graph-based visual interface. The core of the system provides basic editing functionalities for the managed ontologies, while at the same time allowing for more advanced operations to be plugged-in and applied on them, including the execution of ontology integration algorithms or...
In this survey the state-of-the-art technology and the literature to date are discussed. In particular, we will discuss the gap in the literature concerning rostering staff to tasks by qualifications, with the inclusion of restrictions on a measure of task familiarity, which is a unique consequence of the structure of ATC operations.
In this paper, we discuss the evaluation of the probabilistic extraction as introduced in [1], by considering three different datasets introduced in [1] -- [3]. the results show the potential of the approach, as well as its reliability and efficiency when analyzing datasets with different properties and structures. This is part of ongoing research aiming to provide a tool to extract, assess and visualize...
In public and local administration contexts, the organizational structures depend on bureaucratic aspects. This often implies that people are engaged in offices and their allocation come from emergencies and political factors instead of rational motivations related to knowledge, competences and profiles. In most cases, such situations become gangrenous and generate dissatisfaction and low productivity...
Handling the continuity of learning experience across different activities and contexts is a key challenge for seamless learning. Current context and activity recognition techniques work well in fixed environments where sensors deployment and data are known but are not adaptable to dynamic and changing situations when, for instance, a learner moves from dense to rare sensor environments. Moreover,...
The general classification is a machine learning task that tries to assign the best class to a given unknown input vector based on past observations (training data). Most of developed algorithms are very time consuming for large datasets (Support Vector Machine, Deep Neural Networks, etc.). Extreme Learning Machine (ELM) is a high quality classification algorithm that gains much popularity in recent...
Publication activity of researchers is studied inmany papers. Most of them are focused on topics, authors and their cooperation, finding experts or so on. In our paper we are interested in trends in the authors publication activity. We would like to know when and how often authors use their topics, how they combine topics or use new topics. To achieve our goal we use formal concept analysis and polynomial...
In this paper, we will give a short overview about the complexity and the challenges of basic steps when building a Data Mining System. Such a work cannot be realized without empirical experience. For this reason the essence of many projects has found its way into this paper. After the introduction that explains premises of Data Mining that are often underrated or ignored, it is said, that one of...
This paper proposes a human thermal face recognitionapproach with two variants based on Random linearOracle (RLO) ensembles. For the two approaches, the Segmentation-based Fractal Texture Analysis (SFTA) algorithmwas used for extracting features and the RLO ensembleclassifier was used for recognizing the face from its thermalimage. For the dimensionality reduction, one variant (SFTALDA-RLO) was used...
In our IT society, cloud computing is clearly becoming one of the dominating infrastructures for enterprises as long as end users. As more cloud based services available to end users, their oceans of data are outsourced in the cloud as well. Without any special mechanisms, the data may be leaked to a third party for unauthorized use. Most presented works of cloud computing put these emphases on computing...
Wireless Mesh Networks (WMNs) are attracting a lot of attention from wireless network researchers. Node placement problems have been investigated for a long time in the optimization field due to numerous applications in location science. In our previous work, we evaluated WMN-GA system which is based on Genetic Algorithms (GAs) to find an optimal location assignment for mesh routers. In this paper,...
High quality video delivery over LTE is a challenging issue due to limited radio resources of the LTE base station. This paper presents a study on the dilemma problem for allocating radio resource blocks between video and background flows in the LTE downlink. We propose a new concept called minimum background fairness (MBF) and combine it with our earlier idea called generalized largest weighted delay...
In this paper we consider possibility of using palm movements as effective behavioral biometric modality. We propose to exploit the hand motion characteristics gathered from 3D sensor device as input data for identification system. Currently for various reasons people are concerned about directly touching the biometric scanners, therefore touch-less and non-invasive approach seems to be useful in...
This paper proposes a novel algorithm combining path relinking with a set of cooperating trajectory based parallel algorithms to yield a new metaheuristic of enhanced search features. Algorithms based on the exploration of the neighborhood of a single solution, like simulated annealing(SA), have offered accurate results for a large number of real-world problems in the past. Because of their trajectory...
It has become evident that for low-power design concept to be realized, modules within the system need to be optimized. Consequently, the sensor node architecture also known as sensor station is required to operate in an optimized manner to help contribute in reduction of total power consumption of the system. Photosynthetically active radiation (PAR) data obtainedin a Brazilian field study were used...
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