Relevant bibliographies by topics / Pie artificial

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Pie artificial'

Author: Grafiati
Published: 21 August 2021
Last updated: 13 February 2022

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Journal articles on the topic "Pie artificial"

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HUSSAIN, MUHAMMAD, IHSAN ULLAH, HATIM A. ABOALSAMH, GHULAM MUHAMMAD, GEORGE BEBIS, and ANWAR MAJID MIRZA. "GENDER RECOGNITION FROM FACE IMAGES WITH DYADIC WAVELET TRANSFORM AND LOCAL BINARY PATTERN." International Journal on Artificial Intelligence Tools 22, no. 06 (December 2013): 1360018. http://dx.doi.org/10.1142/s021821301360018x.

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Gender recognition from facial images plays an important role in biometric applications. Employing Dyadic wavelet Transform (DyWT) and Local Binary Pattern (LBP), we propose a new feature descriptor DyWT-LBP for gender recognition. DyWT is a multi-scale image transformation technique that decomposes an image into a number of sub-bands which separate the features at different scales. DyWT is a kind of translation invariant wavelet transform that has a better potential for detection than Discrete Wavelet Transform (DWT). On the other hand, LBP is a texture descriptor and is known to be the best for representing texture micro-patterns, which play a key role in the discrimination of different objects in an image. For DyWT, we used spline dyadic wavelets (SDW). There exist many types of SDW; we investigated a number of SDWs for finding the best SDW for gender recognition. The dimension of the feature space generated by DyWT-LBP descriptor becomes excessively high. To tackle this problem, we apply a feature subset selection (FSS) technique that not only reduces the number of features significantly but also improves the recognition accuracy. Through a large number of experiments performed on FERET and Multi-PIE databases, we report for DyWT-LBP descriptor the parameter settings, which result in the best accuracy. The proposed system outperforms the stat of the art gender recognition approaches; it achieved a recognition rate of 99.25% and 99.09% on FERET and Multi-PIE databases, respectively.
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Le, Thai, Cecilia Aragon, Hilaire J. Thompson, and George Demiris. "Elementary Graphical Perception for Older Adults: A Comparison with the General Population." Perception 43, no. 11 (January 1, 2014): 1249–60. http://dx.doi.org/10.1068/p7801.

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We identified the graphical perceptual information needs of older adults (≥ 60 years of age) through a set of psychophysical experiments on bar, stacked, and pie charts. The results are compared with those of a general population (< 60 years of age). We conducted the experiments as online remote studies with 202 total participants across two experimental types: (1) comparison judgments of graphs (50 older adults, 50 general population) and (2) proportion judgments of graphs (52 older adults, 50 general population). Older adults took longer than the general population to complete tasks across both comparison (4.09 s) and proportion judgments (3.66 s). However, this translated to an approximately equal level of perceptual accuracy. Bar charts were the most effective graphical display when considering both speed and accuracy. Older adults were more accurate using pie charts compared with the general population in the comparison task.
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Hu, Che-Chia, Sheng-Shan Chang, and Nai-Yun Liang. "Fabrication of antistatic fibers with core/sheath and segmented-pie configurations." Journal of Industrial Textiles 47, no. 5 (August 24, 2016): 569–86. http://dx.doi.org/10.1177/1528083716665629.

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Artificial antistatic fibers due to their low cost as well as providing desirable properties based on their constitutive components, have attracted considerable interests. In the present study, bicomponent antistatic fibers with various cross-sectional configurations (i.e. core/sheath and segmented-pie structures) were produced using the mixture of carbon black/dispersing agent/PBT and polyethylene terephthalate. To investigate their practical application, woven fabrics were produced and then examined upon their antistatic characteristics as well their thermal properties, wash durability and breaking strength and elongation. Moreover, the effect of dispersing agent during fiber spinning was examined. Among the produced fibers with different structural configuration, it was concluded that the core/sheath antistatic fibers exhibited higher breaking strength and elongation, as well as lower electrical resistivity. Rheological investigations based on the pressure tests indicated that the homogeneous distribution of the fillers (e.g. carbon black) within the polyester pellets is required for manufacturing the uniform fibers. Moreover, it was determined that surface resistivity of the fabrics could be kept unchangeable even after 20 times of washing, revealing their reliable wash durability. Finally, it was found out that the mixture of carbon black/dispersing agent/PBT provides such desirable conductivity; also, the fabrics comprised of fibers with core/sheath configuration could be a good candidate for antistatic applications within the textile industry.
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Pérez Tapias, José Antonio. "De la «muerte del Hombre» al transhumanismo. La parrhesía foucaultiana ante la pretensión de Homo Deus." Pensamiento. Revista de Investigación e Información Filosófica 76, no. 290 Extra (January 18, 2021): 657–77. http://dx.doi.org/10.14422/pen.v76.i290.y2020.012.

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El debate actual en torno al transhumanismo hace pertinente tener en cuenta el pensamiento de Foucault. Tras la crítica al humanismo moderno, el último Foucault da pie para pensar un «humanismo otro» al servicio de esa «vida otra» que por razón de dignidad y anhelos de autorrealización la filosofía propone como tarea suya irrenunciable. El coraje o audacia para la verdad, pieza clave en su concepción de una «filosofía militante», permite a su vez replantear la tarea de la crítica en la opinión pública de una cultura digital, teniendo en cuenta posibilidades y riesgos de la civilización tecnológica en la época del «big data» y la inteligencia artificial.
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HE, GUANGHUI, YUANYAN TANG, BIN FANG, and Patrick S. P. WANG. "BIONIC FACE RECOGNITION USING GABOR TRANSFORMATION." International Journal of Pattern Recognition and Artificial Intelligence 25, no. 03 (May 2011): 391–402. http://dx.doi.org/10.1142/s021800141100866x.

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In this paper, we propose a bionic face recognition method based on Gabor feature. First, Gabor features are extracted from face images, followed by dimensionality reduction using 2DPCA algorithm, which serves as the feature vectors of the proposed method. Finally, the bionic classifier is trained for classification. The experiment on AR and PIE face database is reported to show the effectiveness of the proposed method and compare it with Gabor-2DPCA algorithm and Gabor-PCA algorithm.
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Sarkar, Mrinmoy, Abdollah Homaifar, Berat A. Erol, Mohammadreza Behniapoor, and Edward Tunstel. "PIE: a Tool for Data-Driven Autonomous UAV Flight Testing." Journal of Intelligent & Robotic Systems 98, no. 2 (September 4, 2019): 421–38. http://dx.doi.org/10.1007/s10846-019-01078-y.

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Beveridge, J. R., B. A. Draper, Jen-Mei Chang, M. Kirby, H. Kley, and C. Peterson. "Principal Angles Separate Subject Illumination Spaces in YDB and CMU-PIE." IEEE Transactions on Pattern Analysis and Machine Intelligence 31, no. 2 (February 2009): 351–63. http://dx.doi.org/10.1109/tpami.2008.200.

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ROH, MYUNG-CHEOL, and SEONG-WHAN LEE. "PERFORMANCE ANALYSIS OF FACE RECOGNITION ALGORITHMS ON KOREAN FACE DATABASE." International Journal of Pattern Recognition and Artificial Intelligence 21, no. 06 (September 2007): 1017–33. http://dx.doi.org/10.1142/s0218001407005818.

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Human face is one of the most common and useful keys to a person's identity. Although, a number of face recognition algorithms have been proposed, many researchers believe that the technology should be improved further in order to overcome the instability caused by variable illuminations, expressions, poses and accessories. To analyze these face recognition algorithm, it is indispensable to collect various data as much as possible. Face databases such as CMU PIE (USA), FERET (USA), AR Face DB (USA) and XM2VTS (UK) are the representative ones commonly used. However, many databases do not provide adequately annotated information of the pose angle, illumination angle, illumination color and ground-truth. Mostly, they do not include large enough number of images and video data taken under various environments. Furthermore, the faces on these databases have different characteristics from those of Asian. Thus, we have designed and constructed a Korean Face Database (KFDB) which includes not only images but also video clips, ground-truth information of facial feature points and descriptions of subjects and environment conditions so that it can be used for general purposes. In this paper, we present the KFDB which contains image and video data for 1920 subjects and has been constructed in 3 years (sessions). We also present recognition results by CM (Correlation Matching) and PCA (Principal Component Analysis) which are used as baseline algorithms upon CMU PIE and KFDB, so as to understand how recognition rate is changed by altering image taking conditions.
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ARCHITECTURE, Barclay &. Crousse. "El Lugar de la Memoria." EN BLANCO. Revista de Arquitectura 11, no. 26 (April 30, 2019): 32. http://dx.doi.org/10.4995/eb.2019.11567.

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<p>El Lugar de la Memoria se ubica al borde del acantilado que define la bahía de Lima, integrándose al sistema de Farallones y quebradas que lo conforma. El proyecto sutura la herida provocada por la construcción de una bajada vehicular que une la ciudad a las playas situadas al pie del acantilado. Para ello, se planteó crear un farallón artificial con un edificio compacto implantado bajo la misma lógica de los elementos naturales productos de la erosión. El edificio adquiere así una dimensión territorial y geográfica al formar parte de un sistema topológico de más de 10 Km de longitud, que se inicia en el extremo Sur de la bahía y culmina en el lugar del proyecto.</p>
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Prieto, Eduardo. "Arcadias bajo vidrio." Cuaderno de Notas, no. 18 (November 20, 2017): 1. http://dx.doi.org/10.20868/cn.2017.3595.

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Los invernaderos se han visto tradicionalmente como poco más que una anécdota en la historia de la construcción, aunque en realidad fueran el tipo arquitectónico más innovador del siglo XIX. Conjugando la rigurosa atención a los problemas del clima con el uso de los materiales industriales y los nuevos sistemas de calefacción, los invernaderos dieron pie a soluciones formales y técnicas extremadamente eficaces, que están en la base del diseño pasivo contemporáneo. Este artículo da cuenta de los orígenes del invernadero, de su desarrollo y consolidación como tipo termodinámico, y de su rápida extrapolación a otros usos convertido ya en ‘pseudomorfo’, para acabar desvelando su íntima relación con las llamadas ‘casas solares’ del siglo XX. Todo ello a la luz de una pulsión de calado en la tradición moderna: la búsqueda improbable de un clima completamente artificial.
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Dissertations / Theses on the topic "Pie artificial"

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Miranda, Quispe Bruno Sebastian. "Diseño conceptual de un pie protésico que permite determinar las fuerzas de contacto pie-piso sobre pendientes, escalones y superficies con irregularidades durante la marcha." Bachelor's thesis, Pontificia Universidad Católica del Perú, 2020. http://hdl.handle.net/20.500.12404/19471.

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El presente documento se basa en una investigación para realizar un monitoreo correcto de fuerzas de contacto pie-piso a usuarios con prótesis de miembro inferior; pues, se ha demostrado, que los pacientes presentan condiciones degenerativas en la columna baja y cadera al no tener una carga homogénea de contacto. Por tal motivo, este trabajo tiene como objetivo realizar el diseño conceptual de un pie protésico que detecte las fuerzas pie-piso sobre pendientes, escaleras y superficies irregulares durante la marcha. Esta investigación se basa en realizar un estudio de la Biomecánica del pie, y el Estado de la Tecnología donde se busca modelos comerciales de pies protésicos dinámicos por su adaptabilidad en las superficies y las tecnologías existentes de sensado con el fin de poder adaptar ambas cualidades en una sola prótesis. El funcionamiento conceptual del pie consiste en moldearse a la superficie de contacto, una vez hecho eso, los sensores de carga brindan la información de las fuerzas y por medio de un sensor inercial se obtiene la dirección de estas cargas de contacto. Se obtienen tres conceptos de solución que son verificados por una evaluación técnica económica y se obtiene un concepto óptimo basado en los resultados. Este concepto óptimo cuenta con sensores en la planta del pie y es dinámico para pisar correctamente las superficies mencionadas. En adición, este proyecto es importante porque brinda información sobre las reacciones de contacto que tiene el pie durante la caminata y permite acceder a mayores alcances sobre la biomecánica de la rehabilitación y marcha humana.
Trabajo de investigación
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Yoo, Doo-Sung. "Organ-machine Hybrids (Artificial Animals)." The Ohio State University, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=osu1281418915.

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Ariss, Joseph, and Salim Rabat. "A comparison between a traditional PID controller and an Artificial Neural Network controller in manipulating a robotic arm." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-259365.

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Robotic and control industry implements different control technique to control the movement and the position of a robotic arm. PID controllers are the most used controllers in the robotics and control industry because of its simplicity and easy implementation. However, PIDs’ performance suffers under noisy environments. In this research, a controller based on Artificial Neural Networks (ANN) called the model reference controller is examined to replace traditional PID controllers to control the position of a robotic arm in a noisy environment. Simulations and implementations of both controllers were carried out in MATLAB. The training of the ANN was also done in MATLAB using the Supervised Learning (SL) model and Levenberg-Marquardt backpropagation algorithm. Results shows that the ANN implementation performs better than traditional PID controllers in noisy environments.
Robotoch kontrollindustrin implementerar olika kontrolltekniker för att styra rörelsen och placeringen av en robotarm. PID-styrenheter är de mest använda kontrollerna inom roboten och kontrollindustrin på grund av dess enkelhet och lätt implementering. PID:s prestanda lider emellertid i bullriga miljöer. I denna undersökning undersöks en styrenhet baserad på Artificiell Neuralt Nätverk (ANN) som kallas modellreferenskontrollen för att ersätta traditionella PID-kontroller för att styra en robotarm i bullriga miljöer. Simuleringar och implementeringar av båda kontrollerna utfördes i MATLAB. Utbildningen av ANN:et gjordes också i MATLAB med hjälp av Supervised Learning (SL) -modellen och LevenbergMarquardt backpropagationsalgoritmen. Resultat visar att ANN-implementeringen fungerar bättre än traditionella PID-kontroller i bullriga miljöer.
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Yin, Choon Meng. "Application of artificial neural networks to condition monitoring." Thesis, University of Aberdeen, 1993. http://digitool.abdn.ac.uk:80/webclient/DeliveryManager?pid=124315.

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Predictive maintenance or condition-based maintenance offers significant advantages over the traditional methods of preventive or breakdown maintenance of electromechanical systems. Despite its benefits, predictive maintenance is difficult to implement. This has led to the development of various techniques which allow the early detection of many common fault conditions, through analysis of quantities such as spectral components of line currents, magnetic fields and frame vibrations. Associating the observed signal patterns with the condition of the machine depends to a great extent on the experience and knowledge of experts. The fact that human operators are very successful at these monitoring tasks suggests that one possible method for designing computer-based monitoring systems is to model the learning and decision-making abilities of a human operator. The philosophy pursued in this research is therefore to design a system that should be able to emulate as closely as possible the learning, pattern recognition and the sensor fusion abilities of human operators. This thesis is, therefore, concerned with the application of artificial neural networks to condition monitoring of electrical drives, with particular reference to induction motors. The neural networks studied were the multi-layered perceptron (MLP) and the Kohonen self-organising feature map (KFM). The learning paradigm of the former is supervised, while the latter is unsupervised. A comprehensive theoretical basis is provided for both neural networks employed, and their effectiveness is verified by suitable experiments. The ability of the neural networks to predict the condition of the machine for varying fault severity as well as the transferrability of a trained network to monitor other machines of similar characteristics were also of interest. The suitability of the neural network fault diagnosis system for inverter-fed machines was also studied.
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Schöne, Pia [Verfasser], Ludger [Gutachter] Wessjohann, and Ewa [Gutachter] Swieżewska. "Enzymatic synthesis of natural and artificial polyprenols / Pia Schöne ; Gutachter: Ludger Wessjohann, Ewa Swieżewska." Halle (Saale) : Universitäts- und Landesbibliothek Sachsen-Anhalt, 2019. http://d-nb.info/121073138X/34.

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Starkey, Andrew J. "Condition monitoring of ground anchorages using artificial intelligence techniques." Thesis, University of Aberdeen, 2001. http://digitool.abdn.ac.uk:80/webclient/DeliveryManager?pid=217212.

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Neural networks are a form of Artificial Intelligence based on the architecture of the human brain. They allow complicated non-linear relationships to be learnt from example data, and for further test data to be identified according to the relationship previously learnt. This allows the construction of control systems and diagnostic systems of geotechnical processes which were previously not possible due to their complicated non-linear nature. The main topic of research is the application of neural networks to the diagnosis of the condition of ground anchorages. Ground anchorages are in use in many engineering structures such as tunnels, retaining walls and dams and it has been reported that only 5-10% are routinely monitored during service. The conventional method of testing is load lift-off testing, which is expensive and time consuming. The patented technique, GRANIT, makes use of neural networks to learn the complicated relationship between the vibrational response of an anchorage to an applied axial impulse and its post-tension level. Research has been conducted into the parameters of the system which affect the diagnostic ability of the neural network. Further research into the application of the GRANIT technique to the identification of other faults in the anchorage has been conducted, such as change in free length, or gaps in the grouting. An automated procedure for the identification of the frequencies of interest in the response signatures of the GRANIT system has been investigated, and an example is given of an application of this automated procedure in the area of vibro-impact ground moling, a patented technique which uses both vibration and impact to maximise its penetration depth. Further research into the use of neural networks in an automated process has also been undertaken, and the development of a new technique is presented. This new technique has the potential of returning parameters of interest from any given group of signals, and has potential of application outwith geotechnical data. A patent application for this new technique has now been filed by the author.
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Santos, Hilton Seheris da Silva. "Sintonia online de controladores PID adaptativo-ótimo via redes neuronais artificiais." Universidade Federal do Maranhão, 2017. http://tedebc.ufma.br:8080/jspui/handle/tede/1743.

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The emergence of new industrial plants with great complexity and the need to improve the operation of existing plants has fostered the development of high performance control systems, these systems must not only meet the design specifications, such as merit figures, but also operate at minimal cost and impacts at environment. Motivated by this demand, it is presented in this dissertation the development of methods for on-line tuning of control system parameters, ie, a methodology is presented for the on-line tuning of adaptive and optimal PID controllers via Artificial Neural Networks(ANNs). The approach developed in this dissertation is based on three PID controllers parameters. [Artificial neural networks with radial base functions and Model Predictive Control (MPC). From the union of these approaches a general formulation of an Adaptive-optimal PID controller via artificial neural networks with on-line tuning was presented. The on-line tuning methodology for the ANN parameters is presented in the context of MPC, predicting plant output. For the PID controller, we proposed a modification of the standard structure in order to adapt the error function. The adjustment of the PID controller parameters and the prediction of the optimally plant output, are performed by the ANN-RBF weights adjustments. In addition, an indoor implementation of the control system were proposed for the positioning of a photovoltaic panel. The performance evaluations of the proposed system were obtained from computational experiments results that were based on mathematical models and hardware experiments, that were obtained from a reduced model of a photovoltaic panel. Finally, a comparison between the proposed methodology with the classical PID controller were performed and the proposed methodology presented to be more flexible to the insertion of new performance metrics and the results achieved from the ANN, were better than the ones obtained by the classical PID tuning, such as: Ziegler-Nichols or trial and error.
O surgimento de novas plantas industriais com grande complexidade e a necessidade de melhorar a operação das plantas já existentes tem fomentado o desenvolvimento de sistemas de controle de alto desempenho, estes sistemas devem atender não só as especificações de projeto, tal como: figuras de mérito, mas também devem operar com um custo mínimo e sem causar impactos desastrosos para o meio ambiente. Motivados por esta demanda, apresenta-se nesta dissertação o desenvolvimento de métodos para sintonia online dos parâmetros dos sistemas de controle, ie, apresenta-se uma metodologia para a sintonia online de controladores PID adaptativo e ótimo via Redes Neurais Artificiais (RNAs). A abordagem desenvolvida nesta dissertação tem base as ações dos controladores PID de três termos, redes neurais artificiais com funções de base radial e Controle preditivo baseado em modelo (MPC - Model Predictive Control), a partir da união destas abordagens elabora-se a formulação geral do controlador PID Adaptativo-Ótimo via redes neurais artificiais, com sintonia online. A metodologia de ajuste online dos parâmetros da RNA está no contexto do MPC para predição de saída da planta. Para o caso do controlador PID, tem-se a modificação da estrutura padrão com o objetivo de adaptação em função do erro. O ajuste dos termos do controlador PID e da predição da saída na planta, de forma ótima, é realizada pelo ajustes dos pesos da RNA-RBF. Além disso, apresenta-se a implementação indoor do sistema de controle desenvolvido para o posicionamento de um painel fotovoltaico. As avaliações de desempenho do sistema proposto são obtidos de resultados de experimentos computacionais que são baseados em modelos matemáticos e experimentos em hardware que são obtidos de um modelo reduzido de um painel fotovoltaico. Por fim, comparando o PID clássico com o controlador desenvolvido constatou-se que este último apresenta mais flexibilidade para inserir novas métricas de desempenho e os resultados atingidos são melhores do que os parâmetros obtidos por meio da sintonia do PID clássica, tais como: métodos de Ziegler-Nichols ou tentativa e erro
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Ara?jo, Renan Pires de. "Modelagem da velocidade de um PIG instrumentado usando redes neurais artificiais." PROGRAMA DE P?S-GRADUA??O EM CI?NCIA E ENGENHARIA DE PETR?LEO, 2017. https://repositorio.ufrn.br/jspui/handle/123456789/23718.

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Coordena??o de Aperfei?oamento de Pessoal de N?vel Superior (CAPES)
A passagem de um PIG ? uma t?cnica bastante empregada na inspe??o de dutos de longo comprimento e principalmente enterrados, valendo-se do diferencial de press?o sobre o mesmo para impulsion?-lo. Por?m, durante a inspe??o, um dos problemas que pode ocorrer ? a parada do PIG por causa de incrusta??es severas ou defeitos de fabrica??o/instala??o dos dutos, fazendo com que o instrumento pare e sua posterior libera??o com altas velocidades devido ao ac?mulo de press?o ? montante. Este trabalho prop?e o uso de redes neurais artificiais a fim de modelar a rela??o entre o diferencial de press?o sobre o PIG e sua velocidade durante o seu trajeto no interior do duto. Para tanto, foi empregado um sistema supervis?rio para a captura dos dados de press?o ao longo da tubula??o de teste e um od?metro acoplado ao PIG para a dos dados de velocidade. Foram considerados dois modelos de redes neurais artificiais, no caso a rede MLP e a rede NARX, sendo esta ?ltima uma rede recursiva. Os resultados de treinamento e valida??o mostraram que os modelos por redes neurais artificiais foram eficientes para estimar a velocidade do PIG.
The passage of a PIG is a technique quite used in inspection of big length and principally buried pipes using the pressure differential on it to impulse itself. But, during the inspection, one of the problems that may occur is the stop of the PIG because of severe incrustations or fabrication/installation defects of the pipes, doing the halt of the instrument and its posterior release with high velocities due to the accumulate of pressure at back part. This work purpose the use of neural networks in order to model the relation between the differential pressure on the PIG and its velocity during your path in the tube. Therefore, it was used a supervisory system to capture the pressure data along the test pipe and an odometer coupled to the PIG for the velocity data. It was considered two neural network models, in the case the MLP and NARX networks, the latter being a recurrent network. The training and validation results showed that the models by neural networks were efficient to estimate the velocity of the PIG.
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SILVA, Jeydson Lopes da. "Controle eficiente com ferramentas de inteligência artificial em um sistema de exaustão." Universidade Federal de Pernambuco, 2017. https://repositorio.ufpe.br/handle/123456789/24927.

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FACEPE
A energia elétrica é considerada como um dos principais insumos do setor industrial; sua disponibilidade, qualidade e custo são diretamente ligados à capacidade competitiva deste setor. Com o aumento dos custos da eletricidade e da emissão de gases causadores do efeito estufa, ações voltadas para o uso eficiente deste insumo tornam-se cada vez mais atrativas. Uma parte muito importante da área de controle e automação dos processos industriais é a sintonia dos controladores PID, uma vez que os processos, dentre outras coisas, dependem dos seus controladores, e estes para serem produtivos precisam estar bem sintonizados. O presente trabalho descreve uma maneira de sintonizar desses tipos de controladores baseada em inteligência artificial utilizando uma técnica de otimização evolutiva, conhecida como Otimização por Enxame de Partícula (PSO), técnica eficiente na otimização de funções com vários mínimos locais, funcionando desta forma como uma alternativa às diversas formas de sintonizações clássicas existentes. O objetivo deste trabalho é o de demonstrar o ganho em desempenho no controlador, tanto na parte energética como na ação de controle, proporcionado pela sintonia do controlador através do PSO. Uma parte importante da metodologia deste trabalho é a possibilidade da implementação direta no sistema real dos parâmetros sintonizados do controlador, encontrados por meio da otimização por PSO via simulação computacional; para isso, foi necessária a modelagem do sistema de forma digital, a qual permitiu reproduzir os efeitos da dinâmica do processo real. A implementação real foi feita por meio do protótipo de um sistema de exaustão industrial, o qual é todo controlado por um controlador lógico programável (CLP), localizado no Laboratório de Sistemas Motrizes da Universidade Federal de Pernambuco, a partir do qual foi realizada a coleta de dados experimentais para a análise do desempenho do sistema quando do uso deste tipo de sintonia do controlador.
Electricity is considered as one of the main inputs of the industrial sector; its availability, quality and cost are directly related to the competitive capacity of this sector. With rising costs of electricity and the emission of greenhouse gases, actions aimed at the efficient use of this input become increasingly attractive. A very important part of the area of control and automation of industrial processes is the tuning of the parameters of the PID controllers, since the processes, among other things, depend on their controllers, and these to be productive must be well tuned. The present work describes a way of tuning these types of controllers based on artificial intelligence using an evolutionary optimization technique, known as Particle Swarm Optimization (PSO), an efficient technique for optimizing functions with several local minimums, working in this way as a different form of classical tuning. The objective of this work is to demonstrate the gain in performance in the controller, both in the energy part and in the control action, provided by the controller tuning through the PSO. An important part of the methodology of this work is the possibility of directly implementing in the real system the tuned parameters of the controller, found by means of PSO optimization through computational simulation; for this it was necessary to model the system in digital form, which allowed to reproduce the effects of the actual process dynamics. The actual implementation was done through the prototype of an industrial exhaust system, which is all controlled by means of a PLC, located in the Laboratory of Motor Systems of the Federal University of Pernambuco, from which the collection of experimental data for the analysis of the performance of the system when using this type of controller tuning.
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Souza, João Olegário de Oliveira de. "Metaheurísticas aplicadas na sintonia de controladores PID: estudo de casos." Universidade do Vale do Rio dos Sinos, 2013. http://www.repositorio.jesuita.org.br/handle/UNISINOS/4457.

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Os controladores do tipo Proporcional, Integral e Derivativo, comumente denominados de PID, são largamente utilizados no controle de processos industriais, tanto em sistemas monovariáveis quanto em sistemas multivariáveis. Hoje, cerca de 95% dos controladores utilizam este tipo de estrutura na indústria. O grande problema é que grande parte deles estão mal sintonizados, comprometendo em muitos casos o desempenho de malhas industriais. Neste trabalho é apresentada uma revisão geral sobre os algoritmos inspirados na natureza, Simulated Annealing e Algoritmos Genéticos (fundamentos, características, parâmetros, operadores) e sua aplicação ao problema da sintonia de controladores PID monovariáveis e multivariáveis. É estabelecida, através de estudo de casos, uma análise comparativa entre estas sintonizações com metaheurísticas e os métodos consagrados na literatura em aplicações industriais convencionais, utilizando como função de avaliação o índice Integral do Erro Absoluto ponderado pelo Tempo (ITAE). O trabalho também propõe o estudo de controladores PID através de Algoritmos Genéticos Multiobjetivos, que satisfaçam dois critérios de desempenho: overshoot e o índice de desempenho Integral do Erro Quadrático ponderado pelo Tempo (ITSE). Conforme demonstrado pelos resultados obtidos, pode-se afirmar que a metaheurística Algoritmos Genéticos é um método eficiente e confiável para a otimização de problemas de sintonia de controladores PID.
The Proportional, Integral and Derivative controllers, commonly called PID controllers, are widely used in industrial process control, in both SISO and multivariable systems. Today about 95% of controllers use this type of structure in the industry. The big problem is that most of them are poorly tuned, in many cases compromising the performance of industrial loops. This work presents a general review on nature-inspired algorithms, Simulated Annealing and Genetic Algorithms (basement, characteristics, parameters, operators) and its application in the problem of tuning PID controllers in both single variable and multivariable systems. There will be through case studies, a comparative analysis of these metaheuristics with established methods in the literature in conventional industrial applications using as evaluation function the Integral of time multiplied by the Absolute Error (ITAE) index. The work also proposes the study of PID controllers using multiobjective genetic algorithms which meet two performance criteria: overshoot and the Integral Time Square Error (ITSE) index. The results obtained confirm that Genetic Algorithms are an effective and reliable method to optimize complex problems.
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Books on the topic "Pie artificial"

1

Lü ding xiang jiao pei he, jia gong yu ying yong. Beijing: Hua xue gong yeh chu ban she, 2002.

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The blind pig: A novel. Northboro, MA: School Street Books, 2010.

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Ünal, Muhammet. Optimization of PID Controllers Using Ant Colony and Genetic Algorithms. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.

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Michael, Newton. Natural and artificial regeneration of whiteleaf manzanita in competition studies. Corvallis, OR: Oregon State University, College of Forestry, 1985.

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Sluder, Earl R. Further comparisons between infection of loblolly and slash pines by fusiform rust after artificial inoculation or planting. Asheville, NC: U.S. Dept. of Agriculture, Forest Service, Southeastern Forest Experiment Station, 1986.

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Ji suan zhi neng yu ke xue pei fang: Computational intelligence and scientific blending. Beijing: Ke xue chu ban she, 2008.

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J, May Bella, ed. Lower limb amputations: A guide to rehabilitation. Philadelphia: F.A. Davis, 1986.

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Collazo, A. Madrigal. Estado actual de las investigaciones sobre claras: Primeros resultados obtenidos en una experiencia en masa artificial de Pinus sylvestris L. en el sistema central. Madrid, España: Ministerio de Agricultura, Pesca y Alimentación, 1985.

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J, Schneider Frederick, and Rehabilitation Institute of Chicago, eds. Lower extremity amputation: A guide to functional outcomes in physical therapy management. Rockville, Md: Aspen Systems Corp., 1986.

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Coggins, S. Linking survey detection accuracy with ability to mitigate populations of mountain pine beetle. Victoria, B.C: Pacific Forestry Centre, 2009.

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Book chapters on the topic "Pie artificial"

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Figueroa, Rubén, and C. M. Müller-Karger. "Análisis de esfuerzo por el Método de Elementos Finitos en el Proceso de Diseño de Pie Artificial." In IV Latin American Congress on Biomedical Engineering 2007, Bioengineering Solutions for Latin America Health, 732–35. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-74471-9_170.

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van den Broek, Eva, and Peter M. Todd. "Piep Piep Piep – Ich Hab’ Dich Lieb: Rhythm as an Indicator of Mate Quality." In Advances in Artificial Life, 425–33. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-39432-7_45.

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Ünal, Muhammet, Ayça Ak, Vedat Topuz, and Hasan Erdal. "Artificial Neural Networks." In Optimization of PID Controllers Using Ant Colony and Genetic Algorithms, 5–17. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-32900-5_2.

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Kazikova, Anezka, Krystian Łapa, Michal Pluhacek, and Roman Senkerik. "Cascade PID Controller Optimization Using Bison Algorithm." In Artificial Intelligence and Soft Computing, 406–16. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-61401-0_38.

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Jones, A. H., and P. B. de Moura Oliveira. "Genetic Design of Robust PID Controllers." In Artificial Neural Nets and Genetic Algorithms, 575–78. Vienna: Springer Vienna, 1998. http://dx.doi.org/10.1007/978-3-7091-6492-1_127.

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Norris, Donald J. "Introduction to Artificial Intelligence." In Beginning Artificial Intelligence with the Raspberry Pi, 1–15. Berkeley, CA: Apress, 2017. http://dx.doi.org/10.1007/978-1-4842-2743-5_1.

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Yang, Jianhua, Wei Lu, and Wenqi Liu. "PID Controller Based on the Artificial Neural Network." In Lecture Notes in Computer Science, 144–49. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-28648-6_22.

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Monekosso, Ndedi, and Paolo Remagnino. "Phe-Q : A Pheromone Based Q-Learning." In AI 2001: Advances in Artificial Intelligence, 345–55. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-45656-2_30.

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Jones, A. H. "Genetic Tuning of Neural Non-Linear PID Controllers." In Artificial Neural Nets and Genetic Algorithms, 412–15. Vienna: Springer Vienna, 1995. http://dx.doi.org/10.1007/978-3-7091-7535-4_107.

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Norris, Donald J. "Machine Learning: Artificial Neural Networks." In Beginning Artificial Intelligence with the Raspberry Pi, 171–209. Berkeley, CA: Apress, 2017. http://dx.doi.org/10.1007/978-1-4842-2743-5_7.

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Conference papers on the topic "Pie artificial"

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Pothitos, Nikolaos, and Panagiotis Stamatopoulos. "Piece of Pie Search." In SETN '16: 9th Hellenic Conference on Artificial Intelligence. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/2903220.2903242.

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Xie, Yongsheng, Hong Ding, and Fendong Huang. "Design of Temperature and Humidity Measuring System Based on Raspberry Pie." In AICS 2019: 2019 International Conference on Artificial Intelligence and Computer Science. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3349341.3349477.

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He, Yuntao, and Yuesong Jiang. "Study of optimization and imaging of pie slice array for mm-wave synthetic aperture system." In Sixth International Symposium on Instrumentation and Control Technology: Signal Analysis, Measurement Theory, Photo-Electronic technology, and Artificial Intelligence, edited by Jiancheng Fang and Zhongyu Wang. SPIE, 2006. http://dx.doi.org/10.1117/12.717307.

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Yao, Yu, Ella Atkins, Matthew Johnson-Roberson, Ram Vasudevan, and Xiaoxiao Du. "Coupling Intent and Action for Pedestrian Crossing Behavior Prediction." In Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}. California: International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/ijcai.2021/171.

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Accurate prediction of pedestrian crossing behaviors by autonomous vehicles can significantly improve traffic safety. Existing approaches often model pedestrian behaviors using trajectories or poses but do not offer a deeper semantic interpretation of a person's actions or how actions influence a pedestrian's intention to cross in the future. In this work, we follow the neuroscience and psychological literature to define pedestrian crossing behavior as a combination of an unobserved inner will (a probabilistic representation of binary intent of crossing vs. not crossing) and a set of multi-class actions (e.g., walking, standing, etc.). Intent generates actions, and the future actions in turn reflect the intent. We present a novel multi-task network that predicts future pedestrian actions and uses predicted future action as a prior to detect the present intent and action of the pedestrian. We also designed an attention relation network to incorporate external environmental contexts thus further improve intent and action detection performance. We evaluated our approach on two naturalistic driving datasets, PIE and JAAD, and extensive experiments show significantly improved and more explainable results for both intent detection and action prediction over state-of-the-art approaches. Our code is available at: https://github.com/umautobots/pedestrian_intent_action_detection
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Yin, Ziyi, Ruijin Liu, Zhiliang Xiong, and Zejian Yuan. "Multimodal Transformer Networks for Pedestrian Trajectory Prediction." In Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}. California: International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/ijcai.2021/174.

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We consider the problem of forecasting the future locations of pedestrians in an ego-centric view of a moving vehicle. Current CNNs or RNNs are flawed in capturing the high dynamics of motion between pedestrians and the ego-vehicle, and suffer from the massive parameter usages due to the inefficiency of learning long-term temporal dependencies. To address these issues, we propose an efficient multimodal transformer network that aggregates the trajectory and ego-vehicle speed variations at a coarse granularity and interacts with the optical flow in a fine-grained level to fill the vacancy of highly dynamic motion. Specifically, a coarse-grained fusion stage fuses the information between trajectory and ego-vehicle speed modalities to capture the general temporal consistency. Meanwhile, a fine-grained fusion stage merges the optical flow in the center area and pedestrian area, which compensates the highly dynamic motion of ego-vehicle and target pedestrian. Besides, the whole network is only attention-based that can efficiently model long-term sequences for better capturing the temporal variations. Our multimodal transformer is validated on the PIE and JAAD datasets and achieves state-of-the-art performance with the most light-weight model size. The codes are available at https://github.com/ericyinyzy/MTN_trajectory.
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Rico Sesé/Rodriguez Calatayud, Javier/Nuria. "¿Podrán las máquinas diseñar ovejas eléctricas?" In IV Congreso Internacional de Investigación en Artes Visuales. ANIAV 2019. Imagen [N] Visible. Valencia: Universitat Politècnica de València, 2019. http://dx.doi.org/10.4995/aniav.2019.8933.

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El presente artículo trata sobre la implicación de la Inteligencia Artificial en los procesos creativos de las “artes visuales”. Hasta ahora, la creatividad ha sido estudiada como una disciplina exclusivamente humana. Sin embargo, la irrupción de la llamada Creatividad Computacional abre una nueva vía de investigación y plantea cuestiones que hasta ahora no se habían abordado. Por tanto, el estudio de la creatividad tiene que ser replanteado en nuevos términos. Asumiendo que las máquinas también pueden ser creativas y generar emociones, debemos plantearnos en qué posición nos colocamos como seres humanos ante esta nueva realidad. Se espera que para 2025 un ordenador tenga la misma capacidad de computación que un cerebro humano y en 20 años un solo ordenador conseguirá tener la misma capacidad de computación que todos los cerebros del planeta. A priori, estos datos cuantitativos pueden abrumar a cualquiera porque vislumbra como real, el desenlace de las ficciones distópicas propuestas desde la literatura o el cine y, si esto significa que las máquinas serán capaces de sustituirnos intelectualmente, evidentemente hace falta que nos replanteemos nuestro rol como humanos. Debemos recordar que el ser humano tiene la capacidad innata para crear ficciones, elaborar recuerdos y ser consciente de sus sentimientos, lo que los griegos llamaban pathos, un cúmulo de pasiones compartidas que han ido definiendo nuestras diferencias y capacidades como especie. Desde que el primer homínido se pusiera en pie para liberar sus manos y así diseñar herramientas que mejoraron la calidad de su supervivencia, ha sido la creatividad y la capacidad colaborativa de los humanos, dos de las cualidades que han consolidado nuestra identidad diferenciándonos de las otras especies.
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Lima, P. C. R. "Pig Lift: A New Artificial Lift Method." In SPE Annual Technical Conference and Exhibition. Society of Petroleum Engineers, 1996. http://dx.doi.org/10.2118/36598-ms.

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Kudlacak, Frantisek, and Tibor Krajcovic. "Artificial neural network for adaptive PID controller." In 2018 Cybernetics & Informatics (K&I). IEEE, 2018. http://dx.doi.org/10.1109/cyberi.2018.8337564.

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Xitao Zheng and Yongwei Zhang. "A fish population counting method using fuzzy artificial neural network." In 2010 International Conference on Progress in Informatics and Computing (PIC). IEEE, 2010. http://dx.doi.org/10.1109/pic.2010.5687462.

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Woodward, John R., and Amin Farjudian. "Artificial life, the second law of thermodynamics, and Kolmogorov Complexity." In 2010 International Conference on Progress in Informatics and Computing (PIC). IEEE, 2010. http://dx.doi.org/10.1109/pic.2010.5687924.

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Reports on the topic "Pie artificial"

1

Leduc, Daniel J., Thomas G. Matney, Keith L. Belli, and V. Clark Baldwin. Predicting Diameter Distributions of Longleaf Pine Plantations: A Comparison Between Artificial Neural Networks and Other Accepted Methodologies. Asheville, NC: U.S. Department of Agriculture, Forest Service, Southern Research Station, 2001. http://dx.doi.org/10.2737/srs-rp-25.

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Leduc, Daniel J., Thomas G. Matney, Keith L. Belli, and V. Clark Baldwin. Predicting Diameter Distributions of Longleaf Pine Plantations: A Comparison Between Artificial Neural Networks and Other Accepted Methodologies. Asheville, NC: U.S. Department of Agriculture, Forest Service, Southern Research Station, 2001. http://dx.doi.org/10.2737/srs-rp-25.

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Arjang, B. Development of artificial sill pillar design, Lupin Mine, Northwest Territories, part 2: pre-mining ground stress determinations. Natural Resources Canada/CMSS/Information Management, 1990. http://dx.doi.org/10.4095/328731.

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