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Journal articles on the topic 'Pie artificial'

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

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1

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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CHEN, XI, and JIASHU ZHANG. "MAXIMUM VARIANCE DIFFERENCE BASED EMBEDDING APPROACH FOR FACIAL FEATURE EXTRACTION." International Journal of Pattern Recognition and Artificial Intelligence 24, no. 07 (November 2010): 1047–60. http://dx.doi.org/10.1142/s0218001410008299.

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This paper, presents a novel unsupervised dimensionality reduction approach called variance difference embedding (VDE) for facial feature extraction. The proposed VDE method is derived from maximizing the difference between global variance and local variance, so it can draw the close samples closer and simultaneously making the mutually distant samples even more distant from each other. VDE utilizes the maximum variance difference criterion rather than the generalized Rayleigh quotient as a class separability measure, thereby avoiding the singularity problem when addressing the sample size problem. The results of the experiments conducted on ORL database, Yale database and a subset of PIE database indicate the effectiveness of the proposed VDE method on facial feature extraction and classification.
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Staley, Larssyn, and Andreas H. Jucker. "“The uh deconstructed pumpkin pie”: The use of uh and um in Los Angeles restaurant server talk." Journal of Pragmatics 172 (January 2021): 21–34. http://dx.doi.org/10.1016/j.pragma.2020.11.004.

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HIREMATH, P. S., and C. J. PRABHAKAR. "SYMBOLIC FACTORIAL DISCRIMINANT ANALYSIS FOR ILLUMINATION INVARIANT FACE RECOGNITION." International Journal of Pattern Recognition and Artificial Intelligence 22, no. 03 (May 2008): 371–87. http://dx.doi.org/10.1142/s021800140800634x.

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In this paper, a new appearance-based technique called symbolic factorial discriminant analysis (symbolic FDA) is explored for face representation and recognition under varying illumination conditions. In the past few years, many appearance-based methods have been proposed to model image variations of human faces under different lighting conditions using single valued variables to represent the facial features. In the proposed symbolic factorial discriminant analysis method, we extract interval type discriminating features, which are robust to illumination changes. The minimum distance classifier with symbolic dissimilarity measure is used for classification. The proposed method has been successfully tested for face recognition using three databases, namely, Yale Face database B, CMU PIE database and Harvard database. The experimental results have demonstrated the effective performance of this method.
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Liu, Peng-Yi, and Zhi-Ming Li. "A Feature Extraction Method based on Local Binary Pattern Preprocessing and Wavelet Transform." International Journal of Pattern Recognition and Artificial Intelligence 34, no. 13 (April 20, 2020): 2050030. http://dx.doi.org/10.1142/s0218001420500305.

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Face recognition has been extensively studied by many scholars in the recent decades. Local binary pattern (LBP) is one of the most popular local descriptors and has been widely applied to face recognition. Wavelet transform is also more and more active in the field of pattern recognition. In this paper, a novel feature extraction method is proposed to overcome illumination influence. First, a given face image is processed by the LBP operator, and an LBP image is obtained. Second, wavelet transform is used to extract discriminant feature from the LBP image. The experiment results on LFW, Extended YaleB and CMU-PIE face databases show that the proposed method outperforms several popular face recognition methods, and the preprocessing step plays an important role to extract effective features for classification.
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Chen, Xiangmin, Li Ke, Qiang Du, Jinghui Li, and Xiaodi Ding. "Facial Expression Recognition Using Kernel Entropy Component Analysis Network and DAGSVM." Complexity 2021 (January 4, 2021): 1–12. http://dx.doi.org/10.1155/2021/6616158.

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Facial expression recognition (FER) plays a significant part in artificial intelligence and computer vision. However, most of facial expression recognition methods have not obtained satisfactory results based on low-level features. The existed methods used in facial expression recognition encountered the major issues of linear inseparability, large computational burden, and data redundancy. To obtain satisfactory results, we propose an innovative deep learning (DL) model using the kernel entropy component analysis network (KECANet) and directed acyclic graph support vector machine (DAGSVM). We use the KECANet in the feature extraction stage. In the stage of output, binary hashing and blockwise histograms are adopted. We sent the final output features to the DAGSVM classifier for expression recognition. We test the performance of our proposed method on three databases of CK+, JAFFE, and CMU Multi-PIE. According to the experiment results, the proposed method can learn high-level features and provide more recognition information in the stage of training, obtaining a higher recognition rate.
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Jampour, Mahdi, and Mohammad-Shahram Moin. "A Joint Mapping and Synthesis Approach for Multiview Facial Expression Recognition." International Journal of Pattern Recognition and Artificial Intelligence 35, no. 09 (April 1, 2021): 2155008. http://dx.doi.org/10.1142/s0218001421550089.

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This paper presents a novel approach to address pose-invariant face frontalization aiming Multiview Facial Expression Recognition (MFER). Particularly, the proposed approach is a hybrid method, including both synthesizing and mapping techniques. The key idea is to use mapped reconstructive coefficients of each arbitrary viewpoints and the frontal bases where the mapping functions are provided by learning between frontal and non-frontal faces’ coefficients. We also exploit sparse coding for synthesizing the frontalized faces, even with large poses. For evaluation, two qualitative and quantitative assessments are used along with an application of multiview facial expression recognition as a case study. The results show that our approach is efficient in terms of frontalizing non-frontal faces. Moreover, its validation on two popular datasets, BU3DFE and Multi-PIE, with various assessments contexts reveals its efficiency and stability on head pose variation, especially on large poses.
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Brunello, Gabriela E., Jorgelina Manes, Roxana E. Ávila, Carlos N. Vera, Tomás A. Vera, José M. Tessi, Dardo Cabral, and Juan Florencio Aller. "Efecto de la restricción del amamantamiento con tablilla nasal sobre la productividad de terneros y vacas Angus y Criolla inseminadas a tiempo fijo en una zona árida de Argentina." Revista de Investigaciones Veterinarias del Perú 31, no. 3 (September 29, 2020): e16873. http://dx.doi.org/10.15381/rivep.v31i3.16873.

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Se evaluó el efecto de la restricción del amamantamiento con tablilla nasal sobre la productividad de terneros y vacas Angus y Criolla con inseminación artificial a tiempo fijo (IATF) en una zona árida de Argentina. El primer experimento se hizo con 146 vacas multíparas con cría al pie en pastoreo y con 76.2±3.0 días posparto, asignadas a cuatro tratamientos: vacas Angus (n=37) y Criolla (n=37) con amamantamiento restringido (AR, terneros con tablilla nasal durante 14 días) y vacas Angus (n=35) y Criolla (n=37) con terneros con amamantamiento ad libitum (Control, C). El Día 0, las vacas recibieron un dispositivo intravaginal con progesterona durante 8 días y a los terneros se les colocó la tablilla nasal. La IATF se realizó el Día 10 y el diagnóstico de gestación se realizó a los 35 días por ultrasonografía. En los terneros se determinó el peso a los Días 0, 14 y al destete (6 meses de edad). El porcentaje de preñez fue similar entre tratamientos (AR=51.0%; C=53.0%), independientemente de la raza. Al destete, los terneros del tratamiento C fueron 12.2 kg más pesados que los terneros del AR. El segundo experimento se hizo con 109 vacas Angus multíparas con cría al pie con 59.9±0.7 días posparto, asignadas a los tratamientos AR y C. No hubo efecto sobre el porcentaje de preñez (AR=66.0%; C=72.0%) y los terneros del tratamiento C fueron 8.6 kg más pesados al destete que los del AR. Los resultados demostraron que en vacas multíparas, la restricción del amamantamiento combinado con un tratamiento hormonal para IATF no mejora el porcentaje de preñez y afecta negativamente el peso de los terneros al destete.
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Martins, C. M., H. Ayres, J. R. S. Torres-Junior, A. H. Souza, G. A. Bó, and P. S. Baruselli. "387 EFFECT OF NUMBER OF INSEMINATIONS ON EMBRYO PRODUCTION IN SUPERSTIMULATED NELORE (BOS INDICUS) COWS SUBJECTED TO FIXED-TIME ARTIFICIAL INSEMINATION." Reproduction, Fertility and Development 19, no. 1 (2007): 309. http://dx.doi.org/10.1071/rdv19n1ab387.

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In embryo transfer programs, 2 inseminations per superstimulated donor are usually recommended. Based on studies of follicular dynamics in Bos indicus donors (Baruselli et al. 2006 Theriogenology 65, 77–88), we tested the hypothesis that a single fixed-time AI (FTAI) at 16 h after pituitary luteinizing hormone (pLH) treatment is as efficacious as 2 FTAI at 12 and 24 h after the pLH treatment. Suckling Nelore cows (n = 10), 60 � 12 days postpartum, were equally distributed in 2 experimental groups: G-1TAI vs. G-2TAI, in a crossover design. All animals received an intravaginal progesterone device (DIB; Syntex S.A., Buenos Aires, Argentina) and 2 mg of estradiol benzoate (IM, Ric Be; Syntex) at random stages of the estrous cycle (Day 0). Superstimulatory treatments started on Day 4 with pFSH (133 mg; Folltropin-V; Bioniche Animal Health Canada, Inc., Belleville, Ontario, Canada) in 8 decreasing doses, given IM 12 h apart. On Day 6, all cows received 2 (AM and PM) treatments of 0.15 mg of d-cloprostenol (Prolise; Syntex). The DIB devices were removed 36 h after the first PGF2� injection. The pLH treatment (25 mg IM; Lutropin-V; Bioniche) was given 48 h after the first PGF2� treatment (12 h after the last pFSH treatment). In the G-2TAI group, all cows received 2 inseminations (12 and 24 h after the pLH). Cows in the G-1TAI group received a single insemination (16 h after the pLH). All inseminations were done with the same batch of semen from a single bull. Ultrasound examinations (PIE Medical Scanner 200; Pie Medical Equipment, Maastricht, The Netherlands) were performed every 12 h from 0 to 72 h after pLH treatment to evaluate the number of ovulatory follicles (&lt;8 mm), the ovulation rate, and the time of ovulation. Variables were analyzed by ANOVA and chi-square test. The homogeneity of the variances (distribution of ovulations) was analyzed by Bartlett&apos;s test. Conclusions were based on a 5% level of significance. The results for G-1TAI and G-2TAI were, respectively: number of follicles &gt;8 mm at the time of pLH administration (16.2 � 1.4 vs. 14.8 � 1.2; P &gt; 0.05), ovulation rate (63.8 � 3.8% vs. 64.2 � 4.3%; P &gt; 0.05), interval from the first to the last ovulation (32.4 � 1.8 vs. 33.6 � 1.6 h; P &gt; 0.05), total ova/embryos (8.2 � 0.9 vs. 7.2 � 0.8; P &gt; 0.05), Grade 1 embryos (2.0 � 0.5 vs. 2.3 � 0.4; P &gt; 0.05), transferable embryos (Grades 1, 2, and 3) (4.3 � 0.7 vs. 4.2 � 0.6; P &gt; 0.05), freezable embryos (Grades 1 and 2) (2.9 � 0.6 vs. 2.8 � 0.4; P &gt; 0.05), unfertilized ova (0.6 � 0.2 vs. 0.8 � 0.2; P &gt; 0.05), and degenerated embryos (3.3 � 0.9 vs. 2.2 � 0.3; P &gt; 0.05). These results suggest no significant differences in embryo production between superstimulated Nelore donors inseminated once or twice by fixed time following administration of pLH. This work was supported by Tecnopec, Brazil.
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ZHOU, LIFANG, BIN FANG, WEISHENG LI, HENGXIN CHEN, and LIDOU WANG. "AN ADAPTIVE FUZZY FUSION FRAMEWORK FOR FACE RECOGNITION UNDER ILLUMINATION VARIATION BASED ON LOCAL MULTIPLE PATTERNS." International Journal of Pattern Recognition and Artificial Intelligence 27, no. 01 (February 2013): 1356002. http://dx.doi.org/10.1142/s0218001413560028.

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Local binary pattern (LBP) operator offers an efficient way to recognize face under varying illumination, while it has the drawback of abandoning some important texture features. Local multiple patterns (LMP) has alleviated the problem by a hierarchical model. However, the LMP method can bring out the rapid expansion of feature dimension, so a special feature encoding method is adopted by this paper. Meanwhile, we find that the LMP features of different layers can be used to recognize face independently so that it would preserve more abundant recognition information. Most importantly, the contribution of the LMP features from different layers is blurry under varying illumination. We propose a fuzzy framework to fuse the recognition result of different layers and use adaptive weights to calculate contribution rates of different layers under varying illumination. Experimental results demonstrate that the proposed method outperforms other state-of-the-art methods on four databases such as Yale B, Extended Yale B, CMU PIE and Outdoor.
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HUANG, HONG, JIANWEI LI, and HAILIANG FENG. "SUBSPACES VERSUS SUBMANIFOLDS: A COMPARATIVE STUDY IN SMALL SAMPLE SIZE PROBLEM." International Journal of Pattern Recognition and Artificial Intelligence 23, no. 03 (May 2009): 463–90. http://dx.doi.org/10.1142/s0218001409007168.

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Automatic face recognition is a challenging problem in the biometrics area, where the dimension of the sample space is typically larger than the number of samples in the training set and consequently the so-called small sample size problem exists. Recently, neuroscientists emphasized the manifold ways of perception, and showed the face images may reside on a nonlinear submanifold hidden in the image space. Many manifold learning methods, such as Isometric feature mapping, Locally Linear Embedding, and Locally Linear Coordination are proposed. These methods achieved the submanifold by collectively analyzing the overlapped local neighborhoods and all claimed to be superior to such subspace methods as Eigenfaces and Fisherfaces in terms of classification accuracy. However, in literature, no systematic comparative study for face recognition is performed among them. In this paper, we carry out a comparative study in face recognition among them, and the study considers theoretical aspects as well as simulations performed using CMU PIE and FERET face databases.
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HUANG, HONG, JIAMIN LIU, and HAILIANG FENG. "UNCORRELATED LOCAL FISHER DISCRIMINANT ANALYSIS FOR FACE RECOGNITION." International Journal of Pattern Recognition and Artificial Intelligence 25, no. 06 (September 2011): 863–87. http://dx.doi.org/10.1142/s0218001411008889.

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An improved manifold learning method, called Uncorrelated Local Fisher Discriminant Analysis (ULFDA), for face recognition is proposed. Motivated by the fact that statistically uncorrelated features are desirable for dimension reduction, we propose a new difference-based optimization objective function to seek a feature submanifold such that the within-manifold scatter is minimized, and between-manifold scatter is maximized simultaneously in the embedding space. We impose an appropriate constraint to make the extracted features statistically uncorrelated. The uncorrelated discriminant method has an analytic global optimal solution, and it can be computed based on eigen decomposition. As a result, the proposed algorithm not only derives the optimal and lossless discriminative information, but also guarantees that all extracted features are statistically uncorrelated. Experiments on synthetic data and AT&T, extended YaleB and CMU PIE face databases are performed to test and evaluate the proposed algorithm. The results demonstrate the effectiveness of the proposed method.
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Kim, Eunbi, and Ching-Yu Huang. "Visual Analytics in Effects of Gross Domestic Product to Human Immunodeficiency Virus Using Tableau." International Journal of Machine Learning and Computing 11, no. 3 (May 2021): 219–23. http://dx.doi.org/10.18178/ijmlc.2021.11.3.1038.

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As data becomes more accessible, visualization methods are needed to help make it easier to understand the information. Analyzing and visualizing data makes it easier to understand a dataset without having to read through it, and elucidate connections between two or more different datasets. Tableau is one of the most popular interactive data visualization software. By using Tableau, it is easy to find correlations between datasets, reorganize datasets through pivoting or joining them, and create visualizations such as geo map charts, geo bubble charts, table charts, line charts, pie charts, and treemap charts. This project aims to show the correlation between a country’s gross domestic product (GDP) and human immunodeficiency virus (HIV) through Tableau. Large data sets related to the GDP and HIV were gathered from open data sources. The data will be cleaned through Tableau and Excel, and correlations between datasets will be shown through variable charts with Tableau.
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QING, LAIYUN, SHIGUANG SHAN, WEN GAO, and BO DU. "FACE RECOGNITION UNDER GENERIC ILLUMINATION BASED ON HARMONIC RELIGHTING." International Journal of Pattern Recognition and Artificial Intelligence 19, no. 04 (June 2005): 513–31. http://dx.doi.org/10.1142/s0218001405004186.

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The performances of the current face recognition systems suffer heavily from the variations in lighting. To deal with this problem, this paper presents an illumination normalization approach by relighting face images to a canonical illumination based on the harmonic images model. Benefiting from the observations that human faces share similar shape, and the albedos of the face surfaces are quasi-constant, we first estimate the nine low-frequency components of the illumination from the input facial image. The facial image is then normalized to the canonical illumination by re-rendering it using the illumination ratio image technique. For the purpose of face recognition, two kinds of canonical illuminations, the uniform illumination and a frontal flash with the ambient lights, are considered, among which the former encodes merely the texture information, while the latter encodes both the texture and shading information. Our experiments on the CMU-PIE face database and the Yale B face database have shown that the proposed relighting normalization can significantly improve the performance of a face recognition system when the probes are collected under varying lighting conditions.
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Kark, Christopher. "Destiny as the Harbinger and Destroyer of the Golden Age in La Araucana." Revista Canadiense de Estudios Hispánicos 38, no. 3 (April 10, 2014): 485–502. http://dx.doi.org/10.18192/rceh.v38i3.1689.

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Frecuentemente conceptualizadas como la génesis de una nueva edad áurea, las profecías medievales del último emperador mundial y el segundo Carlomagno sirvieron de estímulo ideológico para la conquista española de La Araucanía. Examinando La Araucana (1569, 1578, 1589) de Alonso de Ercilla y Zúñiga, afirmo que las dudas del poeta acerca de la empresa imperial revelan que, a pesar de su insistencia en la venida inminente del apocalipsis y una nueva edad áurea, el destino de esta empresa da pie a una edad de hierro. A comienzos del poema, Ercilla se esmera en documentar la Guerra de Arauco al componer una crónica rimada en tres partes, la segunda y la tercera partes de la cual son recipientes en que el poeta vierte sus lamentaciones sobre la realidad cruenta en La Araucanía. Al determinar que ha penetrado en un paraíso terrestre durante una misión al archipiélago de Chiloé - donde se maravilla ante la vida pacífica de los nativos - Ercilla se percata de que el destino imperial no abre paso a una nueva edad áurea, sino que antes ocasiona una edad de hierro. Esta epifanía lacerante desenmascara la base artificial de este destino y el imperio que se lo ha apropiado.
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Jeong, J. K., H. G. Kang, and I. H. Kim. "7 COMPARISON OF TIMED ARTIFICIAL INSEMINATION PROTOCOLS USING PROSTAGLANDIN F2α+ESTRADIOL OR PROSTAGLANDIN F2α+ESTRADIOL+GONADOTROPIN-RELEASING HORMONE IN DAIRY COWS." Reproduction, Fertility and Development 24, no. 1 (2012): 115. http://dx.doi.org/10.1071/rdv24n1ab7.

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This study compared pregnancy rates following 2 timed artificial insemination (TAI) protocols using PGF2α + oestradiol or PGF2α + oestradiol + GnRH in dairy cows. Four hundred fifty-five Holstein dairy cows, 2.2 ± 0.1 in parity, 148.3 ± 3.6 days in milk, with corpus luteum of greater than 20 mm diameter confirmed by ultrasonography (Tringa Linear with 5.0 MHz array transducer; Esaote Pie Medical, Maastricht, the Netherlands) were randomly divided into two treatments: an injection of 500 μg of cloprostenol, PGF2α analogue (Iliren cycle BP®, Intervet International GmbH, Unterschleissheim, Germany) and an injection of 2 mg of oestradiol benzoate (EB, SY Esrone, Samyang, Seoul, Korea) 36 h later (PGF2α + EB group, n = 257), or an injection of 500 μg of cloprostenol, an injection of 2 mg of EB 36 h later and an additional injection of 100 μg of gonadorelin, GnRH analogue (Godorel, Uni-Biotech Co., Ltd., Korea) 24 h later (PGF2α + EB + GnRH group, n = 198). All cows in the two groups received TAI 24 h after the EB injection. Pregnancy was determined at 40 to 50 days after TAI by using both ultrasonography and rectal palpation. Pregnancy rates between the PGF2α + EB and PGF2α + EB + GnRH groups were compared by the chi-square test using the SAS program (version 9.1: SAS Institute Inc., Cary, NC, USA). Pregnancy rate following TAI did not differ between the PGF2α + EB (32.7%) and PGF2α + EB + GnRH groups (34.9%; P > 0.05). In conclusion, addition of GnRH for TAI protocol using PGF2α + oestradiol did not improve pregnancy rate in dairy cows.
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Zhao, Shuhuan. "Nonnegative Sparse Probabilistic Estimation for Single Sample Face Recognition." International Journal of Pattern Recognition and Artificial Intelligence 34, no. 12 (April 14, 2020): 2056008. http://dx.doi.org/10.1142/s021800142056008x.

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Face recognition (FR) is a hotspot in pattern recognition and image processing for its wide applications in real life. One of the most challenging problems in FR is single sample face recognition (SSFR). In this paper, we proposed a novel algorithm based on nonnegative sparse representation, collaborative presentation, and probabilistic graph estimation to address SSFR. The proposed algorithm is named as Nonnegative Sparse Probabilistic Estimation (NNSPE). To extract the variation information from the generic training set, we first select some neighbor samples from the generic training set for each sample in the gallery set and the generic training set can be partitioned into some reference subsets. To make more meaningful reconstruction, the proposed method adopts nonnegative sparse representation to reconstruct training samples, and according to the reconstruction coefficients, NNSPE computes the probabilistic label estimation for the samples of the generic training set. Then, for a given test sample, collaborative representation (CR) is used to acquire an adaptive variation subset. Finally, the NNSPE classifies the test sample with the adaptive variation subset and probabilistic label estimation. The experiments on the AR and PIE verify the effectiveness of the proposed method both in recognition rates and time cost.
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Muñoz-Neira, Milton Javier, Anyed Stephany Martínez-Parra, Cristian Gerardo Ruiz-Adarme, Carlos Humberto Triana-Castro, and Jorge Luis Cornejo-Plata. "Diseño de un sistema de reconocimiento de patrones en imágenes termográficas y de huella plantar para la identificación de pie plano en niños con edades entre cinco y seis años." Revista científica 3, no. 36 (August 13, 2019): 313–24. http://dx.doi.org/10.14483/23448350.14345.

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The following paper presents the main results of exploratory research-oriented to the design and implementation of a pattern recognition system for flatfoot identification in children between 5 and 6 years. Patterns were determined from texture analysis of foot thermographic images, and from contour analysis of footprint images. For each case, an artificial neuronal network was trained, with base in a back-propagation algorithm. In each trial, 70 % of data were used for training, and 30 % for validation. For experiments done, success rates greater than 80 % were achieved. The best results were reached with contour patterns reduced by principal components analysis, PCA, in a binary system, with a success rate of 90.84 % in cross-validation. Results are a contribution to the study of diagnostic techniques for flatfoot treatment through the use of technologic tools.
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Schaffhauser Mizzi, Philippe. "Las distancias de la cercanía. Una aproximación a la rivalidad regional entre Sahuayo y Jiquilpan, Michoacán." Relaciones Estudios de Historia y Sociedad 34, no. 135 (June 21, 2013): 157–79. http://dx.doi.org/10.24901/rehs.v34i135.449.

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Este artículo versa sobre el tema de la construcción de estereotipos culturales a través de uno de sus múltiples alicientes etnocéntricos, la rivalidad regional. Si bien, el fundamento de esta relación antagónica entre localidades vecinas puede derivar de un conflicto originario (el cual en el caso que nos ocupa se relaciona, sin duda, con el auge del cardenismo que convirtió a Jiquilpan en un centro político nacional), su actualidad a los ojos de los habitantes de ambos municipios cobra la forma de un chauvinismo exacerbado donde por un lado Jiquilpan aparece de manera esquemática como un municipio heredero de una cultura política de rancio abolengo que ha dado pie a un reconocimiento nacional y donde, por otro, Sahuayo combina su vocación comercial con su triple arraigo religioso sefardí, católico y cristero. Este contraste corresponde a una sobrerrepresentación que construye una brecha imaginaria entre los dos municipios ocultando la relación de cercanía y complementariedad que no ha dejado de existir entre ambos. En este sentido, las identidades locales se nutren de esta aparente distancia que corresponde a lo que Freud ya había señalado (1978, 55-56) como expresión de un “narcisismo de las pequeñas diferencias” o lo que Moisés Sáenz (1939, 113) describió como expresión de la fragmentación nacional donde cada comunidad, localidad y pueblo del país se convierte en una “patria chica” para sus habitantes. Bajo un enfoque constructivista, este artículo examina la construcción de algunos artificios identitarios cuyo propósito social no es tanto identificar lo propio en cada municipio, sino crear de facto una distancia entre ambos, tan artificial como inconmensurable, a través de la incorporación rutinaria en las prácticas sociales de representaciones sociales sobre el otro en tanto que “no jiquilpense” o “no sahuayense”.
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ZHANG, DAN, XINGE YOU, PATRICK WANG, SVETLANA N. YANUSHKEVICH, and YUAN YAN TANG. "FACIAL BIOMETRICS USING NONTENSOR PRODUCT WAVELET AND 2D DISCRIMINANT TECHNIQUES." International Journal of Pattern Recognition and Artificial Intelligence 23, no. 03 (May 2009): 521–43. http://dx.doi.org/10.1142/s0218001409007260.

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A new facial biometric scheme is proposed in this paper. Three steps are included. First, a new nontensor product bivariate wavelet is utilized to get different facial frequency components. Then a modified 2D linear discriminant technique (M2DLD) is applied on these frequency components to enhance the discrimination of the facial features. Finally, support vector machine (SVM) is adopted for classification. Compared with the traditional tensor product wavelet, the new nontensor product wavelet can detect more singular facial features in the high-frequency components. Earlier studies show that the high-frequency components are sensitive to facial expression variations and minor occlusions, while the low-frequency component is sensitive to illumination changes. Therefore, there are two advantages of using the new nontensor product wavelet compared with the traditional tensor product one. First, the low-frequency component is more robust to the expression variations and minor occlusions, which indicates that it is more efficient in facial feature representation. Second, the corresponding high-frequency components are more robust to the illumination changes, subsequently it is more powerful for classification as well. The application of the M2DLD on these wavelet frequency components enhances the discrimination of the facial features while reducing the feature vectors dimension a lot. The experimental results on the AR database and the PIE database verified the efficiency of the proposed method.
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CHEN, WEN-SHENG, PONG CHI YUEN, JIAN HUANG, and BIN FANG. "TWO-STEP SINGLE PARAMETER REGULARIZATION FISHER DISCRIMINANT METHOD FOR FACE RECOGNITION." International Journal of Pattern Recognition and Artificial Intelligence 20, no. 02 (March 2006): 189–207. http://dx.doi.org/10.1142/s0218001406004600.

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In face recognition tasks, Fisher discriminant analysis (FDA) is one of the promising methods for dimensionality reduction and discriminant feature extraction. The objective of FDA is to find an optimal projection matrix, which maximizes the between-class-distance and simultaneously minimizes within-class-distance. The main limitation of traditional FDA is the so-called Small Sample Size (3S) problem. It induces that the within-class scatter matrix is singular and then the traditional FDA fails to perform directly for pattern classification. To overcome 3S problem, this paper proposes a novel two-step single parameter regularization Fisher discriminant (2SRFD) algorithm for face recognition. The first semi-regularized step is based on a rank lifting theorem. This step adjusts both the projection directions and their corresponding weights. Our previous three-to-one parameter regularized technique is exploited in the second stage, which just changes the weights of projection directions. It is shown that the final regularized within-class scatter matrix approaches the original within-class scatter matrix as the single parameter tends to zero. Also, our method has good computational complexity. The proposed method has been tested and evaluated with three public available databases, namely ORL, CMU PIE and FERET face databases. Comparing with existing state-of-the-art FDA-based methods in solving the S3 problem, the proposed 2SRFD approach gives the best performance.
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Diabetes y Metabolismo, Asociación Colombiana de Endocrinología. "Diabetes." Revista Colombiana de Endocrinología, Diabetes & Metabolismo 6, no. 2S (June 20, 2019): 49–57. http://dx.doi.org/10.53853/encr.6.2s.501.

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Listado: Aplicación de técnicas de inteligencia artificial para la estimación de insulina basal en pacientes con bomba de insulina. Seudónimo: Redes en Diabetes Asociación entre la obesidad y la depresión en pacientes con diabetes mellitus tipo 2 (DM2). Seudónimo: Juan Pablo Control glucémico e hipoglucemia en pacientes tratados con terapia de bomba de infusión de insulina: estudio observacional. Seudónimo: Cabomba Factores de riesgo asociados a la diabetes de novo postrasplante entre los trasplantados renales de una institución de alta complejidad en Colombia entre 1995-2014. Seudónimo: Angelamvc Nivel de autocuidado y riesgo de pie diabético en usuarios de un servicio de salud del municipio de Palmira en 2018. Seudónimo: Burbano, J. I. Prescripción de inhibidores de la dipeptidil peptidasa-4 (DPP-4): indicación e impacto en la hemoglobina glucosilada en un hospital de primer nivel de Colombia. Seudónimo: Achiote Prevalencia de los factores de riesgo asociados a la diabetes mellitus tipo 2 (DM2) en Colombia: análisis secundario del estudio PURE. Seudónimo: Apollonius de Memphis Prevalencia de lipodistrofia en adultos colombianos con diabetes mellitus tipo 1 y 2 (DM1 y 2). Seudónimo: Madega Prevención de eventos cardiovasculares en la población colombiana con diabetes mellitus tipo 2 (DM2) durante el último trimestre de 2008 y 2018. Seudónimo: Saturno
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Jeong, J. K., H. G. Kang, and I. H. Kim. "8 EFFECT OF SUPPLEMENTATION WITH ESTRADIOL OR ESTRADIOL PLUS GONADOTROPIN-RELEASING HORMONE AFTER PROSTAGLANDIN F2α ADMINISTRATION ON THE PREGNANCY RATES FOLLOWING TIMED ARTIFICIAL INSEMINATION IN DAIRY COWS." Reproduction, Fertility and Development 24, no. 1 (2012): 115. http://dx.doi.org/10.1071/rdv24n1ab8.

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This study determined the effect of supplementation with oestradiol or oestradiol plus GnRH after PGF2α administration on pregnancy rates after timed artificial insemination (TAI) in dairy cows. Three hundred and six Holstein dairy cows with corpus luteum confirmed by ultrasonography (Tringa Linear with 5.0 MHz array transducer; Esaote Pie Medical, Maastricht, the Netherlands) were randomly allocated to three treatments: a single injection of 500 μg of cloprostenol, PGF2α analogue (Estrumate, Schering-Plough Animal Health, Friesoythe, Germany; PGF2α group, n = 115) designated as 0 h, an injection of 500 μg of cloprostenol and an injection of 1 mg of oestradiol benzoate (EB, SY Esrone; Samyang, Seoul, Korea) 56 h later (PGF2α + EB group, n = 114), or the same treatment as in the PGF2α + EB group and an additional injection of 100 μg of gonadorelin, GnRH analogue (Godorel, Uni-Biotech Co., Ltd., Korea) 24 h later (PGF2α + EB + GnRH group, n = 77). All cows in each group received TAI 80 h after the PGF2α injection. Pregnancy was determined at 40 to 50 days after TAI by using both ultrasonography and rectal palpation. Pregnancy rate among groups were compared by the chi-square test using the SAS program (version 9.1: SAS Institute Inc., Cary, NC, USA). Pregnancy rate following TAI were higher (P < 0.05) in the PGF2α + EB + GnRH group (34/77, 44.2%) than in the PGF2α group (31/115, 27.0%), with the PGF2α + EB group intermediate (39/114, 34.2%). In conclusion, the supplementation with oestradiol plus GnRH after PGF2α administration improved pregnancy rate after TAI in dairy cows. This work was supported by the research grant of the Chungbuk National University in 2011.
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Maldonado G.,, Luis Facundo, Luis Carlos Sarmiento V, Luis Bayardo Sanabria R.,, Nerey Ortega del Castillo, and David Macías M. "La comprensión y la inferencia en el estudio de hipertextos con el apoyo de un agente generador de preguntas." Revista de Investigaciones UNAD 8, no. 2 (October 15, 2009): 65. http://dx.doi.org/10.22490/25391887.636.

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<p>Este documento es una síntesis del proyecto “Agentes de software generadores de preguntas y el desarrollo de la competencia cognitiva de hacer inferencias: la comprensión y la inferencia en diferentes niveles de profundidad en ambientes hipermediales”, desarrollado por el Grupo tecnice de la Universidad Pedagógica Nacional de Colombia.</p><p>La investigación analiza el efecto del uso de un agente de software generador de preguntas durante la etapa de estudio de un hipertexto en el desarrollo de competencias cognitivas de hacer inferencias a diferentes niveles, por parte de estudiantes de educación media.</p><p>Hacer preguntas es la función de un agente artificial y se evalúa su efecto en el proceso de razonamiento de un agente natural. La generación de preguntas sirve al agente natural para que identifique lo que necesita aprender (Ram, 1991). En esta lógica se desarrolla un agente artificial que formula preguntas sobre el dominio de conocimiento de la geografía considerando tres niveles jerárquicos de la ontología usada en la representación.</p><p>Se compara el efecto producido en el desarrollo de la competencia cognitiva de hacer inferencias de sujetos que estudian un hipertexto diseñado con base en una estructura ontológica y otros que estudian el mismo hipertexto con el generador de preguntas que opera en cuatro configuraciones: generación de preguntas de primero, segundo o tercer nivel y configurable a voluntad del usuario.</p><p>El estudio muestra un efecto muy significativo de la ontología utilizada en la representación de conocimiento y del modelo adaptativo, sobre la capacidad de hacer inferencias, en contraste con la formulación de preguntas controlada por el computador. Contrario a lo esperado, el entrenamiento en preguntas de alto nivel no genera diferencias significativas con respecto al entrenamiento con preguntas de más bajo nivel y los resultados dan pie para sostener la hipótesis de efecto específico por nivel de entrenamiento.</p>
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Vallejo Timarán, Darío Antonio, Yorman Andrés Muñoz Rengifo, Carlos Alberto Chaves Velásquez, Juan Manuel Astaíza Martínez, and Carmenza Janneth Benavides Melo. "Sincronización de la ovulación en bovinos utilizando gonadotropina coriónica equina con amamantamiento restringido y sin este." Revista de Medicina Veterinaria, no. 35 (September 3, 2017): 83–91. http://dx.doi.org/10.19052/mv.4391.

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Introducción: para lograr el mayor aprovechamiento del potencial productivo y genético en bovinos, es necesario lograr la concepción de las vacas lo más pronto posible. El anestro posparto puede afectar la fertilidad por largo tiempo, lo cual se asocia a numerosos factores, entre ellos la presencia del ternero y la conducta maternal. Objetivo: comparar protocolos de sincronización de la ovulación, utilizando gonadotropina coriónica equina (eCG) con amamantamiento restringido y sin este, en vacas brahman en anestro con cría en pie. Metodología: de un total de 240 vacas se seleccionaron mediante muestreo no probabilístico 184 animales de estudio, con base en el criterio de inclusión, y se les asignó aleatoriamente alguno de los tratamientos. Se realizaron dos tratamientos y dos controles. Los protocolos de sincronización de la ovulación que utilizan progestágenos y estrógenos variaron en el uso o no de eCG, y en el empleo o no de restricción del amantamiento. Resultados: mediante la prueba de comparación de proporciones de Pearson para muestras independientes, se pudo determinar con un 95 % de confianza (p = 0,8308) que no existen diferencias significativas en el porcentaje de preñez si “se realiza” o “no” restricción del amamantamiento, cuando en los protocolos de sincronización de celo se utiliza eCG. Conclusión: el uso de protocolos para sincronización de la ovulación para inseminación artificial a tiempo fijo (IATF) con la administración de eCG en anestro, y sin realizar restricción del amamantamiento, es una alternativa de manejo reproductivo que incrementa los porcentajes de preñez y favorece la cría de terneros.
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Araújo, Bárbara Lemes Outeiro, Ednilton Tavares de Andrade, Kariny Carvalho Vieira Nolasco, Rafael Peron Castro, and Pedro Castro Neto. "Efficiency of mechanical extraction of Moringa oleifera according to different grain drying conditions." Research, Society and Development 9, no. 7 (June 16, 2020): e937975133. http://dx.doi.org/10.33448/rsd-v9i7.5133.

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Moringa oleifera Lam. is a drought-resistant plant and able to survive in poor soils, obtaining up to three harvests per year. This culture has wide employability in the cosmetics, medicinal, food industry and also as a potential for water purification. Despite its widespread use, there are few studies on its processing. Thus, the objective of this work was to study the behavior during the drying process, at the drying air temperatures of 40 ºC, 55 ºC and 70 ºC, applying mathematical models to the experimental data, thus selecting the best model according to the kinetics curves of drying, as well as evaluating the effect of this phenomenon on the efficiency of mechanical oil extraction. Pre-dried Moringa oleifera Lam. grains from the city of Barreirinhas (MA) were used, the second semester of 2018 and the experiment conducted at the Agricultural Engineering Department of the Federal University of Lavras (MG). Artificial drying was carried out to a constant grain mass, using a mechanical laboratory dryer in a fixed layer with forced convection, at an air speed of 0.33 ms-1, with controlled drying air temperatures of 40 °C, 55 °C, and 70 °C. Non-linear regression analysis was performed using the Quasi-Newton method to adjust 11 mathematical models to experimental data. The oil was extracted using an expeller-type mechanical press. The press yield and efficiency were calculated from the difference in lipid content obtained by the initial chemical extraction of the grain and residual of the pie. The Exponential Equation of Two Terms was the one that best suited the experimental data for all drying air temperatures. The increase in the temperature of the drying air caused greater volumetric contraction of the moringa grains, which affected the oil extraction yield, resulting in lower efficiency of the mechanical press.
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Mirtchev, Alex, Theodoros Mouselinos, Stylianos Syrigos, and Emmanuel Tatakis. "Behavioral Analysis of Potential Induced Degradation on Photovoltaic Cells, Regeneration and Artificial Creation." Energies 14, no. 13 (June 29, 2021): 3899. http://dx.doi.org/10.3390/en14133899.

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Many photovoltaic (PV) parks suffer from a decrement in their generated power capability due to a phenomenon called potential induced degradation (PID). In this paper, a regenerative system using a high step-up DC–DC converter is proposed, for regenerating PV cells that have been degraded due to the PID effect. The same device also can be used for artificially creating PID on PV panels in order to study the effects of the PID under controlled conditions. The power converter offers multiple voltage levels at the output to adapt to various voltage ratings of PV parks. The device has plug-and-play features, ultra-low cost, small size and is simple in operation. Experimental tests are conducted in real PV panels and comparative results verify the operational principles of the proposed system. The artificial creation of the PID phenomenon and the regeneration of the PV cells are successfully proven experimentally.
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Li, Guang Chun, Ping Yan, and Sui Er Wang. "Study on Optimal Method for PID Parameter Based on Artificial Bee Colony Algorithm." Applied Mechanics and Materials 624 (August 2014): 454–59. http://dx.doi.org/10.4028/www.scientific.net/amm.624.454.

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The PID parameter optimization has been a hot topic of control system research. Artificial bee colony algorithm is used to optimize the PID parameters of control system, and gives the PID parameter optimization process of the traditional artificial bee colony algorithm. Aiming at the optimization problem of long time, the improved artificial bee colony algorithm was put forward. The simulation results show that the improved artificial bee colony algorithm can significantly shorten the time of PID parameter optimization, control and better optimization accuracy.
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Wu, Yunyu, Yu Chen, Cunhong Pan, Ning Xiao, Ling Yu, Yuhong Li, Xiaoxiang Zhang, et al. "Development and Evaluation of Near-Isogenic Lines with Different Blast Resistance Alleles at the Piz Locus in japonica Rice from the Lower Region of the Yangtze River, China." Plant Disease 101, no. 7 (July 2017): 1283–91. http://dx.doi.org/10.1094/pdis-12-16-1855-re.

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Rice blast, caused by Magnaporthe oryzae, threatens rice production in most of the rice-growing areas in China, especially in regions that have grown Oryza sativa subsp. japonica in recent years. The use of resistance genes is the most effective and economical approach for blast control. In our study, a set of six near-isogenic lines (NIL) were developed by introgression of six resistance alleles of the Piz locus (Pi2, Pigm, Pi40, Pi9, Piz, and Pizt) into a blast-susceptible, high-yielding, high-quality japonica ‘07GY31’ via marker-assisted backcross breeding. Artificial inoculation using 144 M. oryzae isolates collected from the lower region of the Yangtze River, China, revealed that most of the NIL, including NIL-Pi2, NIL-Pigm, NIL-Pi40, NIL-Pi9, and NIL-Pizt, exhibited broad-spectrum resistance against rice blast at the seedling stage, with resistance frequencies (RF) of 93.06 to 98.61%. NIL-Piz was an exception, with an RF of 21.53%, which was slightly higher than the recurrent parent 07GY31. NIL-Pi40 and NIL-Pigm had broad-spectrum resistance (RF of 93.33 and 71.67%, respectively) at the heading stage following inoculation of 60 isolates of M. oryzae. Field trials with artificial inoculation at the seedling and heading stage showed that NIL-Pigm and NIL-Pi40 were highly resistant in four locations under high disease pressure. NIL-Pizt showed effective resistance in three locations from Zhejiang and Jiangsu Provinces. This study shows that O. sativa subsp. japonica alleles of the Piz locus confer resistance to M. oryzae, and provides an effective method to enhance seedling and panicle blast resistance in rice plants in the lower region of the Yangtze River, China.
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Khalmatova, Shakhstakhan Madaminovna, Khusniddin Abdurakhimov, and Ergashali Abdullaev. "The Importance Of Irrigating Cotton Through Artificial Pipe Against Soil Erosion." American Journal of Horticulture and Floriculture Research 03, no. 03 (March 30, 2021): 1–5. http://dx.doi.org/10.37547/tajhfr/volume03issue03-01.

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Erosion is the erosion of rocks and soil by water and wind. Landslides are always associated with accumulation. The occurrence of the erosion process depends mainly on the climate, the total amount, type, duration, intensity of precipitation. At present, many issues related to the problem of soil erosion have been sufficiently studied. There is a sufficient collection of information on the distribution patterns of eroded and deflated soils in Uzbekistan, their level of fertility, resistance to erosion. The article scientifically explores the importance of irrigating cotton through artifical tubular pits in the fight against soil erosion.
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Zhao, Chang Jun, Yu Xin Sun, Huang Qiu Zhu, and Xian Xing Liu. "Axial Suspension Fuzzy PID Control for Axial Artificial Heart Pump." Applied Mechanics and Materials 703 (December 2014): 323–26. http://dx.doi.org/10.4028/www.scientific.net/amm.703.323.

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This paper designs an intelligent fuzzy PID controller of electromagnetic bearing for axial artificial heart pump (AAHP) to achieve re-stable suspension and quick response performance. and Matlab/Simulink is employed to simulate floating process of the rotor and the process of response to displacement disturbance. The simulation results show that the floating overshoot can be inhibited effectively, with the fuzzy PID controller. Fuzzy PID controller can respond to sudden displacement disturbance quickly. Then analyze the simulation waveforms of Fuzzy PID controller and traditional PID controller, verify that the fuzzy PID controller can overcome the shortcomings of traditional PID controller, and increase the control precision of the system and the robustness of the system.
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Ali, Machrus, Agus Raikhani, Hendi Sopian, and Izzatul Umami. "Optimasi Pengaturan Kecepatan Motor Shunt Berbasis Imperalist Competitive Algorithm (ICA)." Jurnal Intake : Jurnal Penelitian Ilmu Teknik dan Terapan 9, no. 1 (April 20, 2020): 26–31. http://dx.doi.org/10.32492/jintake.v9i1.756.

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Imperalist Competitive Algorithm (ICA) is one method of artificial intelligence inspired by competition for power. In system optimization this method gets better results than other artificial intelligence methods. DC shunt motors do not need a lot of space because of the small wire diameter, but the output power is very small because the amplifier current is small. A good shunt motor setting is needed to produce the desired motor speed. In this study PID controls were tuned using ICA. This good PID guide will get a good system optimization. As a comparison, the control of the shunt motor speed without control, with PID control, with detuning ICA PID control (PID-ICA). The results showed that the results of PID-ICA had the smallest overshot and undershot, with a speed of 500.00 rpm and the fastest settling time : 1201 s. This research will be developed using other artificial intelligence methods.
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42

Machrus Ali, Agus Raikhani, Hendi Sopian, and Izzatul Umami. "Optimasi Pengaturan Kecepatan Motor Shunt Berbasis Imperalist Competitive Algorithm (ICA)." Jurnal Intake : Jurnal Penelitian Ilmu Teknik dan Terapan 9, no. 1 (April 23, 2019): 26–31. http://dx.doi.org/10.48056/jintake.v9i1.38.

Full text
Abstract:
Imperalist Competitive Algorithm (ICA) is one method of artificial intelligence inspired by competition for power. In system optimization this method gets better results than other artificial intelligence methods. DC shunt motors do not need a lot of space because of the small wire diameter, but the output power is very small because the amplifier current is small. A good shunt motor setting is needed to produce the desired motor speed. In this study PID controls were tuned using ICA. This good PID guide will get a good system optimization. As a comparison, the control of the shunt motor speed without control, with PID control, with detuning ICA PID control (PID-ICA). The results showed that the results of PID-ICA had the smallest overshot and undershot, with a speed of 500.00 rpm and the fastest settling time : 1201 s. This research will be developed using other artificial intelligence methods.
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43

Zhu, Jun Lin, Hui Liu, and Zhi Bin Ren. "Optimization Design of Permanent-Magnetism Brushless DC Motor Governing System Based on Artificial Fish Swarm Algorithm." Advanced Materials Research 546-547 (July 2012): 278–83. http://dx.doi.org/10.4028/www.scientific.net/amr.546-547.278.

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The optimal design approach of the PID controller was proposed in this paper, based on Artificial Fish Swarm Algorithm (AFSA) for the matter of the optimization of the brushless DC motor controller. In the experiment, through the analysis of the basic principles of artificial fish swarm algorithm, appropriate performance index was selected as fitness function, specific design procedures were given to optimize parameters of PID controller, The experimental results indicate that: Artificial Fish Swarm Algorithm optimized PID controller enables the brushless DC motor speed control system response faster, small overshoot, effectively improve the dynamic performance of a brushless DC motor control system.
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44

Huang, You Rui, and Hai Bo Hu. "Design of Fractional Order PID Controller Based on Artificial Immune Algorithm." Advanced Materials Research 268-270 (July 2011): 1061–66. http://dx.doi.org/10.4028/www.scientific.net/amr.268-270.1061.

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PID control scheme has been widely used in most of control system. The method of design PID controller is mature gradually. Due to the controlled object is nonlinear and time-varying, so the integer PID controller can not achieve the desired effect. After study people found that the application of fractional order PID controllers can solve the problem of time-varying and nonlinear very well and the controller has high control precision. Currently, the method of design fractional order PID controllers is little. This article describes an artificial immune algorithm and using MATLAB for simulation, the simulation results demonstrate that the artificial immune algorithm has little error and high optimization speed than traditional optimization algorithm, and the fractional order PID controller has a better control effect than traditional integer PID controller.
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Salem, A., M. Mustafa, and M. Ammar. "Tuning PID Controllers Using Artificial Intelligence Techniques." International Conference on Electrical Engineering 9, no. 9th (May 1, 2014): 1–13. http://dx.doi.org/10.21608/iceeng.2014.30365.

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46

Salem, A., M. Moustafa, and M. Ammar. "Tuning PID Controllers Using Artificial Intelligence Techniques." International Conference on Electrical Engineering 9, no. 9th (May 1, 2014): 1–13. http://dx.doi.org/10.21608/iceeng.2014.30369.

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47

Awofeso, N. "Ethics of Artificial Water Fluoridation in Australia." Public Health Ethics 5, no. 2 (July 1, 2012): 161–72. http://dx.doi.org/10.1093/phe/phs016.

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48

Xu, Kun, and Ming Yan Jiang. "Optimal Tuning of Robust Controller Based on Artificial Bee Colony Algorithm." Advanced Materials Research 562-564 (August 2012): 1668–72. http://dx.doi.org/10.4028/www.scientific.net/amr.562-564.1668.

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Artificial bee colony algorithm (ABCA) is a novel swarm intelligence algorithm for global optimization. An efficient method based on ABCA is proposed for optimal tuning of robust proportional-integral-derivative (PID) controller in this paper. A multi-objective optimization is applied to balance several constraint factors of controller. Performance of robust PID controller is evaluated by a three-order and time-delay transfer function with 40%, 50% and 60% uncertainty, respectively. Simulation result clearly demonstrates that the designed controller can obtain an optimal tuning and endure parameter fluctuation. From comparisons of robust PID controller in different uncertainties, a conclusion can be obtained that performance of robust PID controller will be worse as the uncertainty increases, even obtain a divergent solution when the uncertainty is more than 60%.
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Karunasena, G. M. K. B., H. D. N. S. Priyankara, and B. G. D. A. Madhusank. "Artificial Neural Network vs PID Controller for Magnetic Levitation System." International Journal of Innovative Science and Research Technology 5, no. 7 (July 28, 2020): 505–11. http://dx.doi.org/10.38124/ijisrt20jul432.

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This research investigates the acceptability of the Artificial Neural Networks (ANN) over the PID Controller for the control of the Magnetic Levitation System (MLS). In the field of advanced control systems, this system identifies as a feedback-controlled, single input- single output (SISO) system. This SISO system used a PID controller for vertical trajectory controlling of a metal sphere in airspace by using an electromagnetic force that directed to upward. The vertical position of the metal sphere controlled according to the applied magnetic force generated by a powerful electromagnet and the electromagnetic force controlled by varying the supply voltage. To control this nonlinear system, we develop a multilayer artificial neural network by using Matlab software and integrate that with the physical magnetic levitation model. According to specific initial conditions, the actual responses of the magnetic levitation system with artificial neural network compares the desire response of the metal sphere. The ability of control this nonlinear system by using neural networks validate by comparing results obtained by the PID controller and artificial neural network.
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50

Perrier, M., and C. Canudas-De-Wit. "Experimental comparison of PID vs. PID plus nonlinear controller for subsea robots." Autonomous Robots 3, no. 2-3 (1996): 195–212. http://dx.doi.org/10.1007/bf00141155.

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