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Digital representation of Indic script in digital documents remain one of the prominent problems in recent era. The fonts have its effect in the continuation of digital documents and the need of fonts cannot be overemphasized in digital world, when one comes to preservation of Indie script documents for India digital libraries. Gurmukhi script is one of the most prominent scripts of India and is used...
In this paper, we propose an expert search scheme in social networks. The proposed scheme updates a profile by analyzing recent activities, and considers the reliability scores of users and users' ratings that are computed by the updated profile. A user's profile is created by extracting a keyword from the recent activity information and calculating similarity with the keyword. To verify the performance...
The current paper discusses some of the capabilities of the new WERA Data Management framework and how this can support and work together with Ocean Observation Systems. Topics included are: data archiving and real-time quality control, visualization and data interface, forecasting and data-assimilation, and integration into standard data servers.
The most popular, fast and reliable voltage event and power quality disturbance detection algorithm in domestic and commercial appliances is the measurement of the RMS voltage value. Several measurement data sets have been checked in our proposed system and compared with other well-known metering methods for reliability and accuracy validation.
In this study, we developed an automatic algorithm for sleep-wake detection based on Electrooculography (EOG) in healthy and non-healthy patients. Several features were extracted in time and frequency domains from the EOG signal. The artificial neural network (ANN) was used as a classifier. This pilot study consisted of three aims; the first aim was to utilise only the EOG signal for automatic sleep-wake...
The era of Big Data is underway. Compared to Small Data, machine learning, computerized databases and other modern technologies makes it possible for Big Data to do handle massive data and reveal information in a way that individual bits of data can't. Random sampling's accuracy depends on ensuring randomness when collecting data from samples. Analyzing only a limited number of data points means errors...
A novel approach is proposed to improve the quality of depth estimation using Kinect sensor. It is well known that the low resolution of Kinect sensor system makes the depth estimation unreliable at object boundaries due to errors of decoding structured light patterns. In this paper, I propose to integrate visible images and Kinect depth maps to classify depth estimates into two categories: reliable...
Missing data imputation is an important task in cases where it is crucial to use all available data and no discard records with missing values. However, most of the existing algorithms are focused on missing at random (MAR) or missing completely at random (MCAR). In this paper, an information decomposition imputation (IDIM) algorithm using fuzzy membership function is proposed for addressing the missing...
Cloud infrastructures are prone to various anomalies due to their ever-growing complexity and dynamics. Monitoring behavior of dynamic resource management systems is necessary to guarantee cloud reliability. In this paper, we present AMAD, a system designed for detecting an abusive use of dynamic virtual machine migration, in the case of the abusive virtual machine migration attack. This attack is...
On the computer vision system, if the shape of the object includes complex parts, unmeasurable area exists for occlusions of the part on its surface in many cases. The area where camera can observe in a frame is also limited and the limitation causes the unmeasurable area. In order to reduce the unmeasurable area, scanning the measurement device is required. Many numbers of views of each model from...
In this paper, we propose a method for recognizing human actions indoors using fuzzy rules and multi cameras. To recognize the human actions, initially, we use the background difference method to extract human area candidates. We then extract HOG features and learn to detect humans using the features and AdaBoost. Fuzzy rules are then used of detect the human actions. The detected human is determined...
In this paper, bootstrap percolation is introduced to control the information propagation for efficient cooperative positioning in wireless networks. Particularly, we obtain a novel linear least square (LLS) estimator for the localization of agent nodes. Exploiting the idea of bootstrap percolation, agent nodes sequentially get activated and estimate their positions with an adaptive location updating...
In this paper we discuss the design options for a language processing tool that supports humans in their task of classifying text excerpts according to CEFR levels of language proficiency. We describe the tool that we developed on the basis of these design options and provide an assessment of its functioning. This tool is suitable to be used by students taking courses of Portuguese as a second language,...
Despite advances in fingerprint matching, partial/incomplete/fragmentary fingerprint recognition remains a challenging task. While miniaturization of fingerprint scanners limits the capture of only part of the fingerprint, there is also special interest in processing latent fingerprints which are likely to be partial and of low quality. Partial fingerprints do not include all the structures available...
In this paper we address prediction of the communication link quality for Vehicle-to-Vehicle (V2V) applications. We focus on the prediction at the receiver vehicle and suggest two novel frameworks, which allow real-time and short-term prediction whether a predefined application-specific QoS will be maintained in the near future. First framework makes use of machine learning approach, and the second...
A New concept regarding Solar system GSM/INS integration, based on artificial intelligence, i.e. adaptive neuro-fuzzy inference system (ANFIS) is presented. The SOLAR SYSTEM GSM system with fuzzy logic is used as reference during the time it is available. The data from SOLAR SYSTEM GSM and inertial navigation system (SOLAR SYSTEM INS) are used to build a structured knowledge base consisting of behavior...
In traditional campus network, application-layer classification is often achieved by using specific devices that support application-layer classification. Since different vendors have different realizations, even the same flow may have different results with different devices. Thus it's hard to set a global consistent application-layer management policy for the whole network. The idea of separating...
One of the most important issues in technology management at manufacturing companies is to realize “process innovations” that will improve current activities and business processes in order to produce high-quality, low-cost products, systems, infrastructures and services with a short lead time by fully utilizing manufacturing technologies. Design for manufacturability (DFM) is one of the effective...
This article shows the solution to the problem of designing a neuronetwork component of industrial technical system. This solution lets to provide nominal accuracy of information processing, when technical system is working under conditions of destabilizing factors. Base of designing a neuronetwork component is algorithms of elimination of influence of external and internal noise of artificial neural...
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