Produção de etanol: uma opção para aproveitamento de resíduos gerados nas indústrias de reciclagem de papel.

2015

Avaliação econômica do cultivo de Pinus sp. para um sistema de produção modal nos estados do Paraná e Santa Catarina.

2015

CAMPANHA nacional: produção de sementes de milho variedade em comunidades rurais: cartilha do produtor.

Siga as recomendações técnicas normalmente usadas para o plantio do milho; Veja detalhes dos procedimentos para você beneficiar sua semente; Tratamento das sementes antes do armazenamento; Expurgo das sementes; Passos do expurgo.

CAMPANHA nacional de aumento da produtividade em rebanhos leiteiros: aumente a eficiência da produção de leite encurtando o intervalo entre partos de suas vacas.

Vaca com bom estado de carne no momento do parto; Melhor época para engordar a vaca; Evitar perda de peso depois do parto; Boa taxa de concepção e evitar abortos; Redução do intervalo entre partos para 12 meses e aumento da produção de leite.

Perfil dos sistemas de produção agropecuária: uma visão do produtor rural na sub-bacia de Batatal em Cachoeiras de Macacu, Rio de Janeiro, RJ.

2014

Trash or Treasure? Censorship and the Changing Meanings of the Video Nasties

Egan, K. (2007). Trash or Treasure?: Censorship and the Changing Meanings of the Video Nasties. InsidePopular Film. Manchester: Manchester University Press. RAE2008

BitBox!: A case study interface for teaching real-time adaptive music composition for video games

Real-time adaptive music is now well-established as a popular medium, largely through its use in video game soundtracks. Commercial packages, such as fmod, make freely available the underlying technical methods for use in educational contexts, making adaptive music technologies accessible to students. Writing adaptive music, however, presents a significant learning challenge, not least because it requires a different mode of thought, and tutor and learner may have few mutual points of connection in discovering and understanding the musical drivers, relationships and structures in these works. This article discusses the creation of ‘BitBox!’, a gestural music interface designed to deconstruct and explain the component elements of adaptive composition through interactive play. The interface was displayed at the Dare Protoplay games exposition in Dundee in August 2014. The initial proof-of- concept study proved successful, suggesting possible refinements in design and a broader range of applications.

Teaching Competences and their Development Via Video-Recording

The article deals with use of case studies for professional preparation of teachers to be. One of the suitable ways to develop professional teaching competences is to apply the method of a case study. A case study means a complex and creative solution for a given teaching situation in simulated teaching conditions. It is based on interactive and situational education and decision taking. A case study improves not only professional and teaching competences for becoming teachers – it also fulfi ls the task to develop at students their auto-evaluating and auto-refl exing skills. To increase professional competences it is mandatory to do a complex analysis of the video-record for the implemented study. A complex analysis is a subject of the research project of a student grant agency at the University of West Bohemia in Pilsen.

Vantagens do ciclo combinado a gás natural face a outras tecnologias de produção de energia. Estudo de caso

Seria impensável concebermos os nossos dias sem a utilização de energia eléctrica. Esta forma de energia é responsável pelo desenvolvimento económico e a sua disponibilidade é indicadora da qualidade de vida dos povos. A procura de formas de obtenção desta energia que minimizem os impactes para o ambiente tem levado à adopção de energias renováveis mas também ao desenvolvimento de novas tecnologias que permitam aumentar a eficiência de conversão de energia entre as suas várias formas. Neste sentido procedeu-se à análise de um estudo de caso da central termoeléctrica a gás natural com tecnologia de ciclo combinado da Tapada do Outeiro, Portugal. Living without electricity is nowadays unconceived. The economic growth and quality of life is strongly dependent on this source of energy. The search for new forms of producing electricity in order to minimise environmental impacts has lead to the adoption of renewable energies and to the improvement of new technologies which allow at the same time to reach high efficiency in the process of energy conversion from the chemical form to the electrical one. This article is about a case study of a natural gas turbine power plant with combined cycle, at “Tapada do Outeiro”, Portugal.

Caracterização da estrutura populacional de isolados de Escherichia coli provenientes de suiniculturas de produção intensiva e extensiva de Portugal

Projeto de Pós-Graduação/Dissertação apresentado à Universidade Fernando Pessoa como parte dos requisitos para obtenção do grau de Mestre em Ciências Farmacêuticas

Caracterização molecular de isolados de Enterobacteriaceae produtores de beta-lactamases de espectro alargado (ESBLs) provenientes de suiniculturas de produção intensiva e extensiva de Portugal

Projeto de Pós-Graduação/Dissertação apresentado à Universidade Fernando Pessoa como parte dos requisitos para obtenção do grau de Mestre em Ciências Farmacêuticas

Exploiting Phonological Constraints for Handshape Inference in ASL Video

Handshape is a key articulatory parameter in sign language, and thus handshape recognition from signing video is essential for sign recognition and retrieval. Handshape transitions within monomorphemic lexical signs (the largest class of signs in signed languages) are governed by phonological rules. For example, such transitions normally involve either closing or opening of the hand (i.e., to exclusively use either folding or unfolding of the palm and one or more fingers). Furthermore, akin to allophonic variations in spoken languages, both inter- and intra- signer variations in the production of specific handshapes are observed. We propose a Bayesian network formulation to exploit handshape co-occurrence constraints, also utilizing information about allophonic variations to aid in handshape recognition. We propose a fast non-rigid image alignment method to gain improved robustness to handshape appearance variations during computation of observation likelihoods in the Bayesian network. We evaluate our handshape recognition approach on a large dataset of monomorphemic lexical signs. We demonstrate that leveraging linguistic constraints on handshapes results in improved handshape recognition accuracy. As part of the overall project, we are collecting and preparing for dissemination a large corpus (three thousand signs from three native signers) of American Sign Language (ASL) video. The video have been annotated using SignStream® [Neidle et al.] with labels for linguistic information such as glosses, morphological properties and variations, and start/end handshapes associated with each ASL sign.

Skin Color-Based Video Segmentation under Time-Varying Illumination

A novel approach for real-time skin segmentation in video sequences is described. The approach enables reliable skin segmentation despite wide variation in illumination during tracking. An explicit second order Markov model is used to predict evolution of the skin-color (HSV) histogram over time. Histograms are dynamically updated based on feedback from the current segmentation and predictions of the Markov model. The evolution of the skin-color distribution at each frame is parameterized by translation, scaling and rotation in color space. Consequent changes in geometric parameterization of the distribution are propagated by warping and resampling the histogram. The parameters of the discrete-time dynamic Markov model are estimated using Maximum Likelihood Estimation, and also evolve over time. The accuracy of the new dynamic skin color segmentation algorithm is compared to that obtained via a static color model. Segmentation accuracy is evaluated using labeled ground-truth video sequences taken from staged experiments and popular movies. An overall increase in segmentation accuracy of up to 24% is observed in 17 out of 21 test sequences. In all but one case the skin-color classification rates for our system were higher, with background classification rates comparable to those of the static segmentation.

Extraction and Clustering of Motion Trajectories in Video

A system is described that tracks moving objects in a video dataset so as to extract a representation of the objects' 3D trajectories. The system then finds hierarchical clusters of similar trajectories in the video dataset. Objects' motion trajectories are extracted via an EKF formulation that provides each object's 3D trajectory up to a constant factor. To increase accuracy when occlusions occur, multiple tracking hypotheses are followed. For trajectory-based clustering and retrieval, a modified version of edit distance, called longest common subsequence (LCSS) is employed. Similarities are computed between projections of trajectories on coordinate axes. Trajectories are grouped based, using an agglomerative clustering algorithm. To check the validity of the approach, experiments using real data were performed.

Automatic 2D Hand Tracking in Video Sequences

In gesture and sign language video sequences, hand motion tends to be rapid, and hands frequently appear in front of each other or in front of the face. Thus, hand location is often ambiguous, and naive color-based hand tracking is insufficient. To improve tracking accuracy, some methods employ a prediction-update framework, but such methods require careful initialization of model parameters, and tend to drift and lose track in extended sequences. In this paper, a temporal filtering framework for hand tracking is proposed that can initialize and reset itself without human intervention. In each frame, simple features like color and motion residue are exploited to identify multiple candidate hand locations. The temporal filter then uses the Viterbi algorithm to select among the candidates from frame to frame. The resulting tracking system can automatically identify video trajectories of unambiguous hand motion, and detect frames where tracking becomes ambiguous because of occlusions or overlaps. Experiments on video sequences of several hundred frames in duration demonstrate the system's ability to track hands robustly, to detect and handle tracking ambiguities, and to extract the trajectories of unambiguous hand motion.