252,080 research outputs found

    Intelligent automatic generation of text summaries with Soft Computing techniques

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    This thesis develops two different strategies to build automatic summaries of texts using Soft Computing techniques. The first uses a Particle Swarm Optimization technique that, from the vectorial representation of the texts, constructs an extractive summary combining adequately several punctuation metrics. The second strategy is related to the study of causality inspired with the management of uncertainty by the Fuzzy Logic. Here, the analysis of the texts is carried out through the construction of a graph by means of which the most important causal relationships are obtained together with the temporal restrictions that affect their interpretation. Both strategies fundamentally imply the classification of the information and reduce the volume of the text considering the recipient of the summary constructed in each case.Es revisión de: http://sedici.unlp.edu.ar/handle/10915/74098Tesis de Doctorado presentada por el autor el 18 de marzo de 2019 en la Universidad Nacional de La Plata para la obtención del título de Doctor en Ciencias Informáticas.Facultad de Informátic

    Intelligent automatic generation of text summaries with Soft Computing techniques

    Get PDF
    This thesis develops two different strategies to build automatic summaries of texts using Soft Computing techniques. The first uses a Particle Swarm Optimization technique that, from the vectorial representation of the texts, constructs an extractive summary combining adequately several punctuation metrics. The second strategy is related to the study of causality inspired with the management of uncertainty by the Fuzzy Logic. Here, the analysis of the texts is carried out through the construction of a graph by means of which the most important causal relationships are obtained together with the temporal restrictions that affect their interpretation. Both strategies fundamentally imply the classification of the information and reduce the volume of the text considering the recipient of the summary constructed in each case.Es revisión de: http://sedici.unlp.edu.ar/handle/10915/74098Tesis de Doctorado presentada por el autor el 18 de marzo de 2019 en la Universidad Nacional de La Plata para la obtención del título de Doctor en Ciencias Informáticas.Facultad de Informátic

    Facial soft-tissue volumes in adult Northern Sudanese individuals with Down syndrome

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    Objective: To investigate dimensions and ratios of soft-tissue facial volumes of adult Northern Sudanese subjects with Down syndrome by using computerized anthropometric measurements. Design, Setting, and Patients: The 3D coordinates of soft-tissue facial landmarks were obtained by a computerized digitizer in 26 Northern Sudanese adult subjects with Down syndrome (18 men, 8 women, aged 17-34 years), and in 99 healthy Northern Sudanese controls (48 women, 51 men) of the same age range. From the landmarks, several facial volumes and volume ratios were calculated. Data were compared to those collected in healthy individuals by computing z-scores. Results: In subjects with Down syndrome, facial volumes were significantly smaller than in control subjects (Student’s t, p < 0.05). The patterns of deviation from the norm were similar in men and women. When compared to controls, subjects with Down syndrome had no differences in nose volume as a fraction of total facial volume and a larger total lip volume as a fraction of total facial volume; within the facial middle third, they had relatively larger upper lip volumes and relatively smaller nose volumes. Conclusions: The facial soft-tissue structures of subjects with Down syndrome differed from those of normal controls of the same age, sex and ethnic group: a reduced facial size was coupled with specific variations in the nasal and labial regions

    Facial soft-tissue volumes in adult Northern Sudanese individuals with Down syndrome

    Get PDF
    Objective: To investigate dimensions and ratios of soft-tissue facial volumes of adult Northern Sudanese subjects with Down syndrome by using computerized anthropometric measurements. Design, Setting, and Patients: The 3D coordinates of soft-tissue facial landmarks were obtained by a computerized digitizer in 26 Northern Sudanese adult subjects with Down syndrome (18 men, 8 women, aged 17-34 years), and in 99 healthy Northern Sudanese controls (48 women, 51 men) of the same age range. From the landmarks, several facial volumes and volume ratios were calculated. Data were compared to those collected in healthy individuals by computing z-scores. Results: In subjects with Down syndrome, facial volumes were significantly smaller than in control subjects (Student\u2019s t, p < 0.05). The patterns of deviation from the norm were similar in men and women. When compared to controls, subjects with Down syndrome had no differences in nose volume as a fraction of total facial volume and a larger total lip volume as a fraction of total facial volume; within the facial middle third, they had relatively larger upper lip volumes and relatively smaller nose volumes. Conclusions: The facial soft-tissue structures of subjects with Down syndrome differed from those of normal controls of the same age, sex and ethnic group: a reduced facial size was coupled with specific variations in the nasal and labial regions

    Multi-layer Architecture For Storing Visual Data Based on WCF and Microsoft SQL Server Database

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    In this paper we present a novel architecture for storing visual data. Effective storing, browsing and searching collections of images is one of the most important challenges of computer science. The design of architecture for storing such data requires a set of tools and frameworks such as SQL database management systems and service-oriented frameworks. The proposed solution is based on a multi-layer architecture, which allows to replace any component without recompilation of other components. The approach contains five components, i.e. Model, Base Engine, Concrete Engine, CBIR service and Presentation. They were based on two well-known design patterns: Dependency Injection and Inverse of Control. For experimental purposes we implemented the SURF local interest point detector as a feature extractor and KK-means clustering as indexer. The presented architecture is intended for content-based retrieval systems simulation purposes as well as for real-world CBIR tasks.Comment: Accepted for the 14th International Conference on Artificial Intelligence and Soft Computing, ICAISC, June 14-18, 2015, Zakopane, Polan

    Applications of Soft Computing in Mobile and Wireless Communications

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    Soft computing is a synergistic combination of artificial intelligence methodologies to model and solve real world problems that are either impossible or too difficult to model mathematically. Furthermore, the use of conventional modeling techniques demands rigor, precision and certainty, which carry computational cost. On the other hand, soft computing utilizes computation, reasoning and inference to reduce computational cost by exploiting tolerance for imprecision, uncertainty, partial truth and approximation. In addition to computational cost savings, soft computing is an excellent platform for autonomic computing, owing to its roots in artificial intelligence. Wireless communication networks are associated with much uncertainty and imprecision due to a number of stochastic processes such as escalating number of access points, constantly changing propagation channels, sudden variations in network load and random mobility of users. This reality has fuelled numerous applications of soft computing techniques in mobile and wireless communications. This paper reviews various applications of the core soft computing methodologies in mobile and wireless communications

    A Soft Computing Approach to Dynamic Load Balancing in 3GPP LTE

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    A major objective of the 3GPP LTE standard is the provision of high-speed data services. These services must be guaranteed under varying radio propagation conditions, to stochastically distributed mobile users. A necessity for determining and regulating the traffic load of eNodeBs naturally ensues. Load balancing is a self-optimization operation of self-organizing networks (SON). It aims at ensuring an equitable distribution of users in the network. This translates into better user satisfaction and a more efficient use of network resources. Several methods for load balancing have been proposed. Most of the algorithms are based on hard (traditional) computing which does not utilize the tolerance for precision of load balancing. This paper proposes the use of soft computing, precisely adaptive Neuro-fuzzy inference system (ANFIS) model for dynamic QoS aware load balancing in 3GPP LTE. The use of ANFIS offers learning capability of neural network and knowledge representation of fuzzy logic for a load balancing solution that is cost effective and closer to human intuitio

    Multi-Thread Hydrodynamic Modeling of a Solar Flare

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    Past hydrodynamic simulations have been able to reproduce the high temperatures and densities characteristic of solar flares. These simulations, however, have not been able to account for the slow decay of the observed flare emission or the absence of blueshifts in high spectral resolution line profiles. Recent work has suggested that modeling a flare as an sequence of independently heated threads instead of as a single loop may resolve the discrepancies between the simulations and observations. In this paper we present a method for computing multi-thread, time-dependent hydrodynamic simulations of solar flares and apply it to observations of the Masuda flare of 1992 January 13. We show that it is possible to reproduce the temporal evolution of high temperature thermal flare plasma observed with the instruments on the \textit{GOES} and \textit{Yohkoh} satellites. The results from these simulations suggest that the heating time-scale for a individual thread is on the order of 200 s. Significantly shorter heating time scales (20 s) lead to very high temperatures and are inconsistent with the emission observed by \textit{Yohkoh}.Comment: Submitted to Ap
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