957 resultados para Processing Technologies
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The increasing demands in MEMS fabrication are leading to new requirements in production technology. Especially the packaging and assembly require high accuracy in positioning and high reproducibility in combination with low production costs. Conventional assembly technology and mechanical adjustment methods are time consuming and expensive. Each component of the system has to be positioned and fixed. Also adjustment of the parts after joining requires additional mechanical devices that need to be accessible after joining. Accurate positioning of smallest components represents an up-to-date key assignment in micro-manufacturing. It has proven to be more time and cost efficient to initially assemble the components with widened tolerances before precisely micro-adjusting them in a second step.
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The deployment of systems for human-to-machine communication by voice requires overcoming a variety of obstacles that affect the speech-processing technologies. Problems encountered in the field might include variation in speaking style, acoustic noise, ambiguity of language, or confusion on the part of the speaker. The diversity of these practical problems encountered in the "real world" leads to the perceived gap between laboratory and "real-world" performance. To answer the question "What applications can speech technology support today?" the concept of the "degree of difficulty" of an application is introduced. The degree of difficulty depends not only on the demands placed on the speech recognition and speech synthesis technologies but also on the expectations of the user of the system. Experience has shown that deployment of effective speech communication systems requires an iterative process. This paper discusses general deployment principles, which are illustrated by several examples of human-machine communication systems.
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Assunto bastante abordado quando se trata de Sistemas Inteligentes de Transportes (ITS), a identificação veicular - utilizada em grande parte das aplicações de ITS deve ser entendida como um conjunto de recursos de hardware, software e telecomunicações, que interagem para atingir, do ponto de vista funcional, o objetivo de, conseguir extrair e transmitir, digitalmente, a identidade de um veículo. É feita tanto por sistemas que transmitem e recebem uma identidade digital quanto por sistemas que, instalados na infraestrutura da via, são capazes de reconhecer a placa dos veículos circulantes. Quando se trata da identificação automática por meio do reconhecimento da placa veicular, os estudos têm se concentrado sobremaneira nas tecnologias de processamento de imagens, não abordando - em sua maioria - uma visão sistêmica, necessária para compreender de maneira mais abrangente todas as variáveis que podem interferir na eficácia da identificação. Com o objetivo de contribuir para melhor entender e utilizar os sistemas de reconhecimento automático de placas veiculares, este trabalho propõe um modelo sistêmico, em camadas, para representar seus componentes. Associada a esse modelo, propõe uma classificação para os diversos tipos de falhas que podem prejudicar seu desempenho. Uma análise desenvolvida com resultados obtidos em testes realizados em campo com sistemas de identificação de placas voltados à fiscalização de veículos aponta resultados relevantes e limitações para obter correlações entre variáveis, em função dos diversos fatores que podem influenciar os resultados. Algumas entrevistas realizadas apontam os tipos de falhas que ocorrem com mais frequência durante a operação desses sistemas. Finalmente, este trabalho propõe futuros estudos e apresenta um glossário de termos, que poderá ser útil a novos pesquisadores.
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O buriti (Mauritia flexuosa L.) é um fruto rico em carotenoides, ácidos graxos e compostos fenólicos com grande potencial de industrialização. Entretanto, sua vida útil reduzida dificulta a comercialização e um maior aproveitamento. Dessa forma, tecnologias de processamento podem ser empregadas para que haja maior utilização e expansão do buriti. Este trabalho teve como objetivo caracterizar polpa de buriti congelada, liofilizada e atomizada, quantificando os compostos bioativos (carotenoides e ácidos graxos), a composição centesimal e mineral, além de avaliar a estabilidade química e funcional da polpa submetida a esses tratamentos ao longo do tempo de armazenamento. Polpas de buriti oriunda da Comunidade Boa Vista, zona rural do município de Arinos, MG, foram submetidas a três processamentos: congelamento (eleito como controle), liofilização e atomização (com adição de maltodextrina como coadjuvante de tecnologia). Após o processamento, as polpas foram acondicionadas em embalagens laminadas compostas por poliéster, alumínio e polietileno (25 x 25 cm), com capacidade para 100 g cada, e armazenadas a -23 °C para o congelamento e a temperatura ambiente para as polpas desidratadas. As análises físicas, químicas, nutricionais e funcionais foram realizadas logo após o processamento, para caracterização das polpas e nos períodos: 1, 14, 28, 42 e 56 dias, para avaliação da estabilidade. O delineamento experimental empregado constituiu-se de dois fatores (processamento e período) e a interação entre eles. Os dados foram analisados estatisticamente por meio da Análise de Variância Univariada (ANOVA) com nível de significância de 5 %. Constatou-se que durante a estocagem a polpa liofilizada apresentou maior brilho, menor opacidade, valores inferiores para o pH, menor variação da atividade de água e maior acidez titulável. Esses parâmetros são importantes indicadores de qualidade da polpa durante a sua estocagem, visto que dificultam o desenvolvimento microbiano. A adição da maltodextrina no processo de atomização acarretou maiores teores de sólidos solúveis em relação aos demais tratamentos. Os resultados demonstraram que, ao longo do armazenamento, a liofilização contribuiu para a melhor preservação dos carotenoides totais. A quantificação dos carotenoides e dos ácidos graxos na polpa congelada demonstrou que houve melhor preservação de carotenoides do tipo alfa e beta caroteno, dos ácidos graxos oleico, indicando maior valor nutricional para a alimentação humana. Apesar dos resultados satisfatórios para a polpa congelada, durante o tempo analisado a polpa congelada apresentou maiores perdas em relação à polpa liofilizada. Para a classe dos compostos fenólicos, a liofilização apresentou melhores resultados ao longo da estocagem. O uso de baixas temperaturas foi mais efetivo para a preservação dos compostos bioativos analisados. Portanto, pode-se concluir que o emprego da liofilização é a alternativa mais adequada entre as avaliadas, para o aproveitamento da polpa de buriti na indústria de alimentos, uma vez que esse tratamento preservou todos os constituintes avaliados durante a estocagem.
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Gasoline coming from refinery fluid catalytic cracking (FCC) unit is a major contributor to the total commercial grade gasoline pool. The contents of the FCC gasoline are primarily paraffins, naphthenes, olefins, aromatics, and undesirables such as sulfur and sulfur containing compounds in low quantities. The proportions of these components in the FCC gasoline invariable determine its quality as well as the performance of the associated downstream units. The increasing demand for cleaner and lighter fuels significantly influences the need not only for novel processing technologies but also for alternative refinery and petrochemical feedstocks. Current and future clean gasoline requirements include increased isoparaffins contents, reduced olefin contents, reduced aromatics, reduced benzene, and reduced sulfur contents. The present study is aimed at investigating the effect of processing an unconventional refinery feedstock, composed of blend of vacuum gas oil (VGO) and low density polyethylene (LDPE) on FCC full range gasoline yields and compositional spectrum including its paraffins, isoparaffins, olefins, napthenes, and aromatics contents distribution within a range of operating variables of temperature (500–700 °C) and catalyst-feed oil ratio (CFR 5–10) using spent equilibrium FCC Y-zeolite based catalyst in a FCC pilot plant operated at the University of Alicante’s Research Institute of Chemical Process Engineering (RICPE). The coprocessing of the oil-polymer blend led to the production of gasoline with very similar yields and compositions as those obtained from the base oil, albeit, in some cases, the contribution of the feed polymer content as well as the processing variables on the gasoline compositional spectrum were appreciated. Carbon content analysis showed a higher fraction of the C9–C12 compounds at all catalyst rates employed and for both feedstocks. The gasoline’s paraffinicity, olefinicity, and degrees of branching of the paraffins and olefins were also affected in various degrees by the scale of operating severity. In the majority of the cases, the gasoline aromatics tended toward the decrease as the reactor temperature was increased. While the paraffins and iso-paraffins gasoline contents were relatively stable at around 5 % wt, the olefin contents on the other hand generally increased with increase in the FCC reactor temperature.
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With rapid advances in video processing technologies and ever fast increments in network bandwidth, the popularity of video content publishing and sharing has made similarity search an indispensable operation to retrieve videos of user interests. The video similarity is usually measured by the percentage of similar frames shared by two video sequences, and each frame is typically represented as a high-dimensional feature vector. Unfortunately, high complexity of video content has posed the following major challenges for fast retrieval: (a) effective and compact video representations, (b) efficient similarity measurements, and (c) efficient indexing on the compact representations. In this paper, we propose a number of methods to achieve fast similarity search for very large video database. First, each video sequence is summarized into a small number of clusters, each of which contains similar frames and is represented by a novel compact model called Video Triplet (ViTri). ViTri models a cluster as a tightly bounded hypersphere described by its position, radius, and density. The ViTri similarity is measured by the volume of intersection between two hyperspheres multiplying the minimal density, i.e., the estimated number of similar frames shared by two clusters. The total number of similar frames is then estimated to derive the overall similarity between two video sequences. Hence the time complexity of video similarity measure can be reduced greatly. To further reduce the number of similarity computations on ViTris, we introduce a new one dimensional transformation technique which rotates and shifts the original axis system using PCA in such a way that the original inter-distance between two high-dimensional vectors can be maximally retained after mapping. An efficient B+-tree is then built on the transformed one dimensional values of ViTris' positions. Such a transformation enables B+-tree to achieve its optimal performance by quickly filtering a large portion of non-similar ViTris. Our extensive experiments on real large video datasets prove the effectiveness of our proposals that outperform existing methods significantly.
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The purpose of this paper is to investigate the technological development of electronic inventory solutions from perspective of patent analysis. We first applied the international patent classification to classify the top categories of data processing technologies and their corresponding top patenting countries. Then we identified the core technologies by the calculation of patent citation strength and standard deviation criterion for each patent. To eliminate those core innovations having no reference relationships with the other core patents, relevance strengths between core technologies were evaluated also. Our findings provide market intelligence not only for the research and development community, but for the decision making of advanced inventory solutions.
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Cassava is one of the major food crops in Nigeria, with multiple uses from human consumption to industrial applications. This study explores the potential of cassava in Nigerian agriculture based on a review of cassava development policies; performs a trend analysis of the cultivation area, production, productivity, and real price of cassava and other competing crops for the period 1961–2013; identifies the sources of growth in production; and examines the production constraints at the local level based on a survey of 315 farmers/processors and 105 marketers from Delta State. The results revealed that several policies and programmes were implemented to develop the cassava sector with mixed outcomes. Although cassava productivity grew at 1.5% per annum (p.a.) during the post-structural adjustment programme period (1993–2013), its real price declined at a rate of 3.5% p.a. The effect of yield is the main source of growth in production, contributing 76.4% of the total growth followed by the area effect (28.2%). The cassava sector is constrained by inadequate market infrastructure, processing facilities, and lack of information and unstable prices at the local level. The widespread diffusion of improved tropical manioc selection technologies and investments in market and marketing infrastructure, processing technologies, irrigation/water provision and information dissemination are recommended to enhance the potential of the cassava sector to support agricultural growth in Nigeria.
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BACKGROUND: Today, new lifestyles, higher incomes and consumer awareness are creating consumer demand for a year-round supply of high-quality, diverse and innovative food products. However, when it comes to innovation, the food sector is less changeable when compared to other sectors, such as high technology. Still, in the past decades much and important developments have been achieved in several areas related to foods and the food industry. METHODS: A systematic review of scientific literature was conducted on Science Direct. The topics investigated were: aspects related to innovation in food development (such as the transfer of innovation, open innovation, collaborative innovation and consumer perception and its role in the developing process); the innovation in the food industry (particularly regarding the processing technologies and packaging, which are two prominent areas of innovation in this sector nowadays); the innovation in the cooking sector (particularly in regards to the molecular gastronomy and science based cooking). RESULTS: A total of 146 articles were included in the review and the aspects focused allowed confirming that innovation has been recognized as a key driver of economic growth. Within the framework of ‘open innovation’, a number of key issues related to the acquisition of external knowledge in food technology must be taken into consideration. Food product development is highly dependent on the consumer perception and acceptance, and hence it is of utmost importance to include the consumer in the development process to minimize failure probabilities. The sectors of the food industry where important developments and innovation are registered include the processing technologies and the packaging systems, where the latest progresses have produced very significant outcomes. CONCLUSION: The present work allowed verifying the latest improvements and trend towards food product development from two perspectives, the product itself and the industrial processing. This sector is undoubtedly a major key for the success and competitiveness nowadays in the food industry.
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Mode of access: Internet.
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This research deals with the production of pectic oligosaccharides (POS) from agro-industrial residues, with specific focus on development of continuous cross flow enzyme membrane reactor. Pectic oligosaccharides have recently gained attention due to their prebiotic activity. Lack of information on the continuous production of POS from agro-industrial residues formed the basis for the present study. Four residues i.e sugar beet pulp, onion hulls, pressed pumpkin cake and berry pomace were taken to study their pectin content. Based on the presence of higher galacturonic acid and arabinose (both homogalacturonan and rhamnogalacturonan) in sugar beet pulp and galacturonic acid (only homogalacturonan) in onion hulls, further optimization of different extraction methods of pectin (causing minimum damage to pectic chain) from these residues were done. The most suitable extractant for sugar beet pulp and onion hulls were nitric acid and sodium hexametaphosphate respectively. Further the experiments on the continuous production of POS from sugar beet pulp in an enzyme membrane reactor was initiated. Several optimization experiments indicated the optimum enzyme (Viscozyme) as well as feed concentration (25 g/L) to be used for producing POS from sugar beet pulp in an enzyme membrane reactor. The results highlighted that steady state POS production with volumetric and specific productivity of 22g/L/h and 11 g/gE/h respectively could be achieved by continuous cross flow filtration of sugar beet pulp pectic extract over 10 kDa membrane at residence time of 20 min. The POS yield of about 80% could be achieved using above conditions. Also, in this thesis preliminary experiments on the production and characterization of POS from onion hulls were conducted. The results revelaed that the most suitable enzyme for POS production from onion hulls is endo-polygalacturonase M2. The POS produced from onion hulls were present in the form of DP1 -DP10 in substituted as well as unsubstituted forms. This study clearly demonstrates that continuous production of POS from pectin rich sources can be achieved by using cross flow continuous enzyme membrane reactor.
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The paper describes education complex "Multi-agent Technologies for Parallel and Distributed Information Processing in Telecommunication Networks".