Traditional Content-based image retrieval supports image searches based on color, texture and shape. However it is difficult and nonintuitive for most user to use those low level features to query images. And for most user they like search by keywords . For example , recently Google provide services in image search. Although it is named image search , but actually it is search by keywords ,not image-contents. For this reason MPEG-7 now support textual annotation standard which is MPEG-7 Multimedia Description Schemes (DSs) are metadata structures for describing and annotating audio-visual (AV) content. But manual annotation of image or video take time and expensive. we propose a system which could help us to make suitable auto-annotations.We extract the image factal features and use Diverse Density Algorithm for training models. In this way , user and system can interact in real-time . When trained models in database is growing, the system auto-annotation success rate is increasing.

This dissertation presents the applications of state-of-the-art computation techniques and data analysis algorithms in three physical and biological problems: assembling DNA pieces, optimizing self-assembly yield, and identifying correlations from large multivariate datasets. In the first topic, in-depth analysis of using Sequencing by Hybridization (SBH) to reconstruct target DNA sequences shows that a modified reconstruction algorithm can overcome the theoretical boundary without the need for different types of biochemical assays and is robust to error. In the second topic, consistent with theoretical predictions, simulations using Graphics Processing Unit (GPU) demonstrate how controlling the short-ranged interactions between particles and controlling the concentrations optimize the self-assembly yield of a desired structure, and nonequilibrium behavior when optimizing concentrations is also unveiled by leveraging the computation capacity of GPUs. In the last topic, a methodology to incorporate existing categorization information into the search process to efficiently reconstruct the optimal true correlation matrix for multivariate datasets is introduced. Simulations on both synthetic and real financial datasets show that the algorithm is able to detect signals below the Random Matrix Theory (RMT) threshold. These three problems are representatives of using massive computation techniques and data analysis algorithms to tackle optimization problems, and outperform theoretical boundary when incorporating prior information into the computation. / Engineering and Applied Sciences

Content- and semantic-based interactive mining systems describe remote sensing images by means of relevant features. Region-based retrieval systems have been proposed to capture the local properties of an image. Existing systems use computationally extensive methods to extract primitive features based on color, texture (spatial gray level dependency - SGLD matrices), and shape from the segmented homogenous region. The use of wavelet transform techniques has recently gained momentum in multimedia image archives to expedite the retrieval process. However, the current semantic-enabled framework for the geospatial data uses computationally extensive methods for feature extraction and image segmentation. Hence, this dissertation presents the use of a wavelet-based feature extraction in a semantics-enabled framework to expedite the knowledge discovery in geospatial data archives. Geospatial data has different characteristics than multimedia images and poses more challenges. The experimental assumptions, such as the selection of the wavelet decomposition level and mother wavelet used for multimedia data archives, might not prove to be efficient for the retrieval of geospatial data. Discrete wavelet transforms (DWT) introduce aliasing effects due to subband decimation at a certain decomposition level. This dissertation addresses the issue of selecting a suitable wavelet decomposition level, and a systematic selection process is developed for image segmentation. To validate the applicability of this method, a synthetic image is generated to assess the performance qualitatively and quantitatively. In addition, results for a Landsat7 ETM+ imagery archive are illustrated, and the F-measure is used to assess the feasibility of this method for retrieval of different classes. This dissertation also introduces a new feature set obtained by coalescing wavelet and independent component analysis for image information mining. Feature-level fusion is performed to include the missing high detail information from the panchromatic image. Results show that the presented feature set is computationally less expensive and more efficient in capturing the spectral and spatial texture information when compared to traditional approaches. After extensive experimentation with different types of mother wavelets, it can be concluded that reverse Biorthogonal wavelets of shorter length and the simple Haar filter provided better results for the image information mining from the database used in this study.

Orientador: Marta Lígia Pomim Valentim / Banca: Helen de Castro Silva Casarin / Banca: Wanda aparecida Machado Hofmann / Resumo: O cenário contemporâneo globalizado afeta substancialmente todos os segmentos da sociedade, especialmente as empresas. Nesse contexto, as microempresas merecem destaque, pois são responsáveis pela economia de uma determinada cidade ou região e, portanto, torna-se relevante sua investigação devido ao seu caráter empreendedor. No entanto, poucas pesquisas são aplicadas no âmbito das microempresas no que tange aos aspectos da competitividade empresarial e do uso de informações estratégicas para a tomada de decisão. Além disso, as empresas geralmente desconhecem os métodos, as técnicas e as tecnologias de informação e comunicação (TICs) para a realização das atividades de prospecção e monitoramento informacional, as quais possibilitam identificar e acompanhar informações, permitindo uma tomada de decisão mais assertiva com a utilização de informação estratégica, o que contribui para a competitividade empresarial. Dessa forma, objetivou-se analisar os métodos formais e informais de prospecção e monitoramento informacional, por meio de um roteiro de entrevista aplicado às microempresas do ramo óptico associadas à Associação Comercial e Industrial de Marília (ACIM) pertencentes ao Núcleo Especializado de Ópticas de Marília (NEOM). Teve-se como base um modelo de prospecção e monitoramento informacional, bem como aspectos relacionados ao comportamento informacional que permitiram compreender como as empresas lidam com informação em seus negócios, e também questões inerentes ao futuro das empresas, por meio da percepção de cenários futuros. A análise dos dados foi realizada utilizando-se do método 'Análise de Conteúdo'. Os resultados foram apresentados detalhadamente por categorias de análise e também sinteticamente por empresas, visando nesse último caso fornecer o perfil de cada... (Resumo completo, clicar acesso eletrônico abaixo) / Abstract: The contemporary global scenario significantly affects all segments of the society, particularly business. In this context, small-sized business noteworthy because they are responsible for the economy in a particular city or region and, therefore, becomes relevant their research because of its entrepreneurial character. However, few studies are implemented under the small-sized business aspects in terms of business competitiveness and the use of strategic information for decision making. Moreover, companies generally unaware of the methods, techniques and information and communication technologies (ICTs) to perform activities of information scanning and information mining, which enables to identify and track information, allowing decisionmaking more assertive with use of strategic information, which contributes to business competitiveness. This work aimed to analyze the formal and informal methods of information scanning and information mining, through a structured interview applied to small-sized business in the optical sector associated with the Associação Comercial e Industrial de Marília (ACIM) belonging to the Núcleo Especializado de Ópticas de Marília (NEOM). It had to be based on an information scanning and information mining model, as well as aspects related to information behavior that allowed us to understand how companies deal with information in their business, as well as issues relating to the future of companies, through the perception of future scenarios. The data analysis was performed using the method 'Content Analysis'. The results were presented in detail by analysis category and also synthetically by companies, in order to provide this latter case the profile of each NEOM company. We identified the key information needs and information sources used by managers, given its informal practice in scanning and mining... (Complete abstract click electronic access below) / Mestre

Made available in DSpace on 2014-06-11T19:26:43Z (GMT). No. of bitstreams: 0 Previous issue date: 2010-08-06Bitstream added on 2014-06-13T19:34:23Z : No. of bitstreams: 1 pacheco_cg_me_mar.pdf: 1672220 bytes, checksum: 79e58e4361725998a60496038131f35b (MD5) / Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) / Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) / Universidade Estadual Paulista (UNESP) / O cenário contemporâneo globalizado afeta substancialmente todos os segmentos da sociedade, especialmente as empresas. Nesse contexto, as microempresas merecem destaque, pois são responsáveis pela economia de uma determinada cidade ou região e, portanto, torna-se relevante sua investigação devido ao seu caráter empreendedor. No entanto, poucas pesquisas são aplicadas no âmbito das microempresas no que tange aos aspectos da competitividade empresarial e do uso de informações estratégicas para a tomada de decisão. Além disso, as empresas geralmente desconhecem os métodos, as técnicas e as tecnologias de informação e comunicação (TICs) para a realização das atividades de prospecção e monitoramento informacional, as quais possibilitam identificar e acompanhar informações, permitindo uma tomada de decisão mais assertiva com a utilização de informação estratégica, o que contribui para a competitividade empresarial. Dessa forma, objetivou-se analisar os métodos formais e informais de prospecção e monitoramento informacional, por meio de um roteiro de entrevista aplicado às microempresas do ramo óptico associadas à Associação Comercial e Industrial de Marília (ACIM) pertencentes ao Núcleo Especializado de Ópticas de Marília (NEOM). Teve-se como base um modelo de prospecção e monitoramento informacional, bem como aspectos relacionados ao comportamento informacional que permitiram compreender como as empresas lidam com informação em seus negócios, e também questões inerentes ao futuro das empresas, por meio da percepção de cenários futuros. A análise dos dados foi realizada utilizando-se do método ‘Análise de Conteúdo’. Os resultados foram apresentados detalhadamente por categorias de análise e também sinteticamente por empresas, visando nesse último caso fornecer o perfil de cada... / The contemporary global scenario significantly affects all segments of the society, particularly business. In this context, small-sized business noteworthy because they are responsible for the economy in a particular city or region and, therefore, becomes relevant their research because of its entrepreneurial character. However, few studies are implemented under the small-sized business aspects in terms of business competitiveness and the use of strategic information for decision making. Moreover, companies generally unaware of the methods, techniques and information and communication technologies (ICTs) to perform activities of information scanning and information mining, which enables to identify and track information, allowing decisionmaking more assertive with use of strategic information, which contributes to business competitiveness. This work aimed to analyze the formal and informal methods of information scanning and information mining, through a structured interview applied to small-sized business in the optical sector associated with the Associação Comercial e Industrial de Marília (ACIM) belonging to the Núcleo Especializado de Ópticas de Marília (NEOM). It had to be based on an information scanning and information mining model, as well as aspects related to information behavior that allowed us to understand how companies deal with information in their business, as well as issues relating to the future of companies, through the perception of future scenarios. The data analysis was performed using the method 'Content Analysis'. The results were presented in detail by analysis category and also synthetically by companies, in order to provide this latter case the profile of each NEOM company. We identified the key information needs and information sources used by managers, given its informal practice in scanning and mining... (Complete abstract click electronic access below)

Entscheidungsunterstützungssysteme in der Finanzwirtschaft sind nicht nur für die Wis-senschaft, sondern auch für die Praxis von großem Interesse. Um die Finanzmarktüber-wachung zu gewährleisten, sehen sich die Finanzaufsichtsbehörden auf der einen Seite, mit der steigenden Anzahl von onlineverfügbaren Informationen, wie z.B. den Finanz-Blogs und -Nachrichten konfrontiert. Auf der anderen Seite stellen schnell aufkommen-de Trends, wie z.B. die stetig wachsende Menge an online verfügbaren Daten sowie die Entwicklung von Data-Mining-Methoden, Herausforderungen für die Wissenschaft dar. Entscheidungsunterstützungssysteme in der Finanzwirtschaft bieten die Möglichkeit rechtzeitig relevante Informationen für Finanzaufsichtsbehörden und Compliance-Beauftragte von Finanzinstituten zur Verfügung zu stellen. In dieser Arbeit werden IT-Artefakte vorgestellt, welche die Entscheidungsfindung der Finanzmarktüberwachung unterstützen. Darüber hinaus wird eine erklärende Designtheorie vorgestellt, welche die Anforderungen der Regulierungsbehörden und der Compliance-Beauftragten in Finan-zinstituten aufgreift.