Готові списки джерел за темами / Flower machine

Добірка наукової літератури з теми "Flower machine"

Автор: Grafiati

Опубліковано: 30 травня 2022

Оновлено: 31 травня 2022

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Статті в журналах з теми "Flower machine"

Rajkumar, D. "IRIS Species Predictor." International Journal for Research in Applied Science and Engineering Technology 10, no. 1 (January 31, 2022): 1530–35. http://dx.doi.org/10.22214/ijraset.2022.40097.

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Abstract: In Machine Learning, we are using semi-automated extraction of knowledge of data for identifying IRIS flower species. Classification is a supervised learning in which the response is categorical that is its values are in finite unordered set. To simply the problem of classification, scikit learn tools have been used. This paper focuses on IRIS flower classification using Machine Learning with scikit tools. Here the problem concerns the identification of IRIS flower species on the basis of flowers attribute measurements. Classification of IRIS data set would be discovering patterns from examining petal and sepal size of the IRIS flower and how the prediction was made from analyzing the pattern to from the class of IRIS flower. In this paper we train the machine learning model with data and when unseen data is discovered the predictive model predicts the species using what it has been learnt from the trained data. Keywords: MATLAB, Machine learning, Neural Network.

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Vanalkar, Prof A. V., Mahesh Dhodre, Pratik Anwane, Prajwal Mantinwar, Ritesh Kanade, Shivam Kalbande, and Aniket Mohite. "Design and Fabrication of Marigold Flower Hydrosol Extraction Machine and Manure Making." International Journal for Research in Applied Science and Engineering Technology 10, no. 5 (May 31, 2022): 1221–23. http://dx.doi.org/10.22214/ijraset.2022.42500.

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Abstract: India is the religious country with a huge population. And their are lots of hindu temple present here. This devotion towards god comes with price in the from of flower. And this flower create a lot of pollution in solid from and due to improper management of this waste create air pollution and other types of pollution which harms the nature critically. In an average in India their are 60 cores tons of marigold flower are devoted to the god and create such a problems as we discuss. Hence to tackle such a situation in such a way to create some revenue from those waste and also reduce pollution we design and fabricated marigold flowers hydrosol and manure extracting machine. This machine works on water distillation process and represent thermodynamic cycle. Here flowers get boiled with water and it create steam of flower essences and get cold down into liquid from in condenser and by this process we get hydrosol and manure (in boiler). Their are also other process to extract these items from flower but water distillation process is more easy, effective and simple than other process and it create absolutely low or no pollution

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Kaur, Rupinder, Dr Anubha Jain, Pushpanjali Saini, and Sarvesh Kumar. "A Review Analysis Techniques of Flower Classification Based on Machine Learning Algorithms." ECS Transactions 107, no. 1 (April 24, 2022): 9609–14. http://dx.doi.org/10.1149/10701.9609ecst.

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A system design for the recognition of flower species will be very beneficial to only in agriculture but also in industries of pharmaceutical science, study, and practice botany, trade, and farming. For the flower classification system, it will require extra species testing as there are varieties of species in flowers and thus it become exceptionally difficult to characterize them when it comes for the basic identification of flower among same species. Therefore, this subject has already become crucial for research purposes. So, for better detection, various techniques have been implemented through machine learning, which the latest trends become for such problems solving. Machine learning is well known for the strongest for its large part of classification and recognition performance in the computer. Classification is the most vital approaches of AI. Major brief of machine learning is information evaluation. Numerous algorithms present for system classification like decision trees (DT), Neural Network, Navie Bayes, SVM, Back Propagation, multi-class classification, Artificial Neural, K-nearest neighbor, multi-layer perception, etc. The paper summarizes the foremost aspects of machine learning and its drawbacks.

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Gast, Karen L. B. "Evaluation of Stem and Flower Strength of Different Freeze-dried Peony Cultivars." HortScience 31, no. 4 (August 1996): 637c—637. http://dx.doi.org/10.21273/hortsci.31.4.637c.

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The floral industry is always trying to identify new products for consumers. Dried/preserved products have gained in popularity because they have a long vase life and offer a wide range of forms, textures and shapes. Among these new dried/preserved products are freeze dried flowers. Freeze drying preserves flower color and shape better than air and matrix drying. From a grower's standpoint, they need to know which plants and which of their cultivars will freeze dry better than others, especially if the plant is a perennial that takes time to come into production. Peonies are a good example. Fragility of the flowers after freeze drying is one of the most important factors determining the suitability of a plant and its cultivars. The objective of this study was to evaluate the flower and stem strength of freeze dried peony flowers of several cultivars to be able to recommend to growers which cultivars freeze dried better than others. Flowers from different red, pink and white herbaceous peony cultivars were freeze dried using commercial equipment and protocols. Stem and flower strengths were determined by compression tests via an Instron Universal Testing Machine. There were no differences in flower strength among the white cultivars evaluated. Flowers of the red cultivars, `Shawnee Chief', `David Harum', `Kansas', and `Monsieur Martin Cahuzac', were stronger than most of the other reds evaluated. `James Pillow' flowers were stronger than most other pinks. There were no differences in flower strength among the other pink cultivars. Lack of differences in flower and stem strength provides growers with a wider selection of suitable cultivars.

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Patel, Alakh, and Jaymin Bhalani. "Development of Cotton Flower Picking Machine based on Machine Vision Technique." International Journal of Computer Applications 180, no. 42 (May 17, 2018): 22–26. http://dx.doi.org/10.5120/ijca2018917114.

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Ornai, Alon, and Tamar Keasar. "Floral Complexity Traits as Predictors of Plant-Bee Interactions in a Mediterranean Pollination Web." Plants 9, no. 11 (October 24, 2020): 1432. http://dx.doi.org/10.3390/plants9111432.

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Despite intensive research, predicting pairwise species associations in pollination networks remains a challenge. The morphological fit between flowers and pollinators acts as a filter that allows only some species within the network to interact. Previous studies emphasized the depth of floral tubes as a key shape trait that explains the composition of their animal visitors. Yet, additional shape-related parameters, related to the handling difficulty of flowers, may be important as well. We analyzed a dataset of 2288 visits by six bee genera to 53 flowering species in a Mediterranean plant community. We characterized the plant species by five discrete shape parameters, which potentially affect their accessibility to insects: floral shape class, tube depth, symmetry, corolla segmentation and type of reproductive unit. We then trained a random forest machine-learning model to predict visitor identities, based on the shape traits. The model’s predictor variables also included the Julian date on which each bee visit was observed and the year of observation, as proxies for within- and between-season variation in flower and bee abundance. The model attained a classification accuracy of 0.86 (AUC = 0.96). Using only shape parameters as predictors reduced its classification accuracy to 0.76 (AUC = 0.86), while using only the date and year variables resulted in a prediction accuracy of 0.69 (AUC = 0.80). Among the shape-related variables considered, flower shape class was the most important predictor of visitor identity in a logistic regression model. Our study demonstrates the power of machine-learning algorithms for understanding pollination interactions in a species-rich plant community, based on multiple features of flower morphology.

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Sumiati, Ruzita, Genta Ramadeto, Rakiman Rakiman, and Fardinal Fardinal. "Pembuatan Dan Pengujian Mesin Bending Rotary Baja Untuk Aplikasi Stand Pot Bunga Diameter 8 dan 10 Inch." Jurnal Teknik Mesin 13, no. 1 (June 30, 2020): 13–17. http://dx.doi.org/10.30630/jtm.13.1.363.

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In this day and age people decorate homes with flower pots and many models of flower pot place creations. Usually the place to put flower pots in the form of a circle and to make a circular iron is made manually requires energy and a long time. A bending machine is needed to make concrete iron circle creations. The aim of this research is to produce a rotary bending machine that is able to work efficiently in forming a concrete steel circle. The method used in this study is a practical method that is doing machine design and continued with the manufacture and field testing. The working principle of this machine is to use a motor that functions to move the Gearbox and continue the rotation to the shaft, then the shaft rotates and the bending mall rotates and makes the steel concrete come round and circular. The conclusion is (a). This concrete steel rotary bending machine has dimensions of 550 mm x 550 mm x 1000 mm with an electric motor drive power source (b). The results of the bending process using a concrete steel rotary bending machine are far more efficient than doing manual bending

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Assirelli, Alberto, Daniela Giovannini, Mattia Cacchi, Sandro Sirri, Gianluca Baruzzi, and Giuseppina Caracciolo. "Evaluation of a New Machine for Flower and Fruit Thinning in Stone Fruits." Sustainability 10, no. 11 (November 7, 2018): 4088. http://dx.doi.org/10.3390/su10114088.

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Peach and apricot trees usually set more fruit than they can adequately support. Crop load adjustment through fruit thinning is a routine practice adopted by fruit growers to obtain a marketable product. However, hand thinning is an expensive, labor-intense operation. The interest in the mechanization of thinning has increased in the last decades. A new machine, consisting of a tractor-mounted rotor equipped with elastic rods radially inserted on a central axis, has been recently developed to thin both flowers and green fruits in stone fruit crops. In order to test its effectiveness and optimize the operative conditions, trials were carried out in 2016 in two apricot and two peach commercial orchards located in the northeast Italy. Tests were carried out on narrow-canopied orchards, during blooming time, and on green fruit, assessing the flower and fruit removal percentage and the labor saving as compared with the standard fruit hand-thinning practice. In apricot, the machine removed 20.8% of flowers and 43.6% of fruit, allowing 48% time saving in the follow-up fruit manual thinning as compared with the control (hand-thinning only). In peach, mechanical thinning at blooming time removed 63% of flowers, allowing 42.4% time saving in the follow-up fruit manual thinning as compared with the control, whereas mechanical thinning of fruit at the beginning of pit hardening stage removed less than 10%. The development of a mechanical thinning practice, complemented by a manual finishing, could represent a valuable near-term solution to reduce thinning labor time.

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Deora, Tanvi, Mahad A. Ahmed, Bingni W. Brunton, and Thomas L. Daniel. "Learning to feed in the dark: how light level influences feeding in the hawkmoth Manduca sexta." Biology Letters 17, no. 9 (September 2021): 20210320. http://dx.doi.org/10.1098/rsbl.2021.0320.

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Nocturnal insects like moths are essential for pollination, providing resilience to the diurnal pollination networks. Moths use both vision and mechanosensation to locate the nectary opening in the flowers with their proboscis. However, increased light levels due to artificial light at night (ALAN) pose a serious threat to nocturnal insects. Here, we examined how light levels influence the efficacy by which the crepuscular hawkmoth Manduca sexta locates the nectary. We used three-dimensional-printed artificial flowers fitted with motion sensors in the nectary and machine vision to track the motion of hovering moths under two light levels: 0.1 lux (moonlight) and 50 lux (dawn/dusk). We found that moths in higher light conditions took significantly longer to find the nectary, even with repeated visits to the same flower. In addition to taking longer, moths in higher light conditions hovered further from the flower during feeding. Increased light levels adversely affect learning and motor control in these animals.

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Kondo, Naoshi, Mitsuji Monta, Tanjuro Goto, and Haruhiko Murase. "Machine vision based quality evaluation of chrysanthemum cut flower." IFAC Proceedings Volumes 32, no. 2 (July 1999): 5617–21. http://dx.doi.org/10.1016/s1474-6670(17)56958-x.

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Більше джерел

Дисертації з теми "Flower machine"

Лук'яненко, Ігор Анатолійович. "Лінія розливу миючих засобів у ПЕТ-пляшки з модернізацією вузла розливу". Master's thesis, КПІ ім. Ігоря Сікорського, 2019. https://ela.kpi.ua/handle/123456789/30721.

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Вивчено конструкцію, принцип роботи та характеристики автомата розливу та лінії в цілому. У магістерській дисертації виконано параметричні та кінематичні розрахунки. Виконано розрахунок пружини. З метою усунення недоліків автомата розливу а саме, малої швидкості розливу, складність конструкції вузла розливу, малої точності дозування було проведено патентно-літературний огляд конструкції. Результатом було обрано прототип конструкції розливного пристрою який розміщується безпосередньо у витратному резервуарі та має спрощену конструкцію, що дозволяє збільшити продуктивність та зменшити витрати на ремонт та обслуговування автомата в цілому. Для підтвердження модернізації було розроблено 3Д моделі в середовищі SolidWorks базового та модернізованого вузлів і проведений їх розрахунок в середовищі ANSYS. Також було виконано розділи: монтаж і експлуатація, автоматизація, охорона праці та було розроблено стартап-проект.
In the course of the Master's thesis, the technological line of bottling detergents in PET bottles was selected. The design, principle of operation and characteristics of the bottling machine and the line as a whole are studied. In the master's thesis parametric and kinematic calculations were performed. The spring was calculated. In order to eliminate the disadvantages of the dispenser, namely, the low speed of the spill, the complexity of the design of the spill node, low accuracy of dosing was conducted patent-literature review of the design. The result was a prototype design of the filling device, which is placed directly in the flow tank and has a simplified design, which allows to increase productivity and reduce the cost of repair and maintenance of the machine as a whole. To confirm the upgrade, 3D models were developed in the SolidWorks environment of the base and upgraded units, and their calculation was performed in the ANSYS environment. The following sections were also completed: installation and operation, automation, labor protection, and a startup project was developed.

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Bouzekri, Hacène. "Contribution à la commande des machines synchrones à aimants permanents." Vandoeuvre-les-Nancy, INPL, 1995. http://www.theses.fr/1995INPL054N.

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Ce mémoire est consacré au développement de structures de régulation de courant des machines synchrones à aimants permanents (MSAP). Le premier volet de notre travail concerne la commande 120. Afin d'éliminer les surtensités qui apparaissent pendant les commutations d'une phase sur l'autre, à basse vitesse, une commande basée sur la mesure de la somme des courants des diodes du haut et des transistors du bas est proposée. Concernant les ondulations du couple engendrées par les formes d'ondes des FEM, nous avons proposé une stratégie de commande des courants de la machine dans un repère (alpha, beta) lié au stator permettant de les minimiser. Afin de minimiser les creux de couple qui apparaisse à grande vitesse, une commande fondée sur le contrôle de décroissance du courant commuté est introduite. Le deuxième volet de cette thèse concerne la commande vectorielle des MSAP et sa décentralisation. En premier, nous avons proposé une commande qui permet le contrôle du vecteur courant imposé par l'onduleur, avec deux régulateurs à hystérésis. Cette technique permet de réduire la fréquence de commutation et de contrôler les courants de la machine en amplitude et en phase d'une manière instantanée. Ensuite, une structure de contrôle des courants id et iq de la machine par des régulateurs à logique floue, utilisant des règles d'entrées/sorties linéaires, est introduite. Les régulateurs synthétisés sont indépendants des paramètres de la machine, et le contrôle de id et iq se fait d'une manière décentralisée

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Ruelas, Rubén. "Intégration de l'expertise humaine en modélisation et identification floues de systèmes." Nancy 1, 1997. http://www.theses.fr/1997NAN10281.

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Dans ce mémoire nous présentons nos travaux sur la modélisation et l'identification de systèmes à l'aide de la théorie des ensembles flous. Particulièrement, notre intérêt s'est porté sur la modélisation de systèmes pour lesquels nous disposons de peu d'observations du fonctionnement et où l'être humain intervient en tant que capteur ou expert. La première partie du mémoire est consacrée à la modélisation floue à partir de connaissances expertes provenant soit des experts, qui connaissent le fonctionnement du système à modéliser, soit du modélisateur. Dans un premier temps le processus de fuzzification est étudié afin d'envisager la prise en compte d'informations linguistiques. A l'aide des modificateurs linguistiques deux notions, précision et dérivation, sont proposées aux experts afin qu' ils expriment leurs connaissances. Dans cette première partie du mémoire nous utilisons principalement l'aspect précision dans la construction du modèle flou, alors que dans la dernière partie la notion de dérivation est utilisée. Finalement, cette partie se termine par une étude montrant l'influence de la forme des ensembles flous dans une démarche d'approximation de fonctions. Notre intérêt portant principalement sur les modèles flous à sortie précise utilisés classiquement en commande floue, la deuxième partie du mémoire concerne la défuzzification. Après avoir rappelé le principe de la défuzzification nous précisons les différents objectifs de ce processus à l'aide d'une classification des méthodes présentées dans la littérature. Selon la méthode, la défuzzification consiste à faire une conversion du domaine flou au domaine numérique, une conversion avec préférences, une conversion optimisée selon un critère ou une conversion sous contraintes. Après cette classification, nous proposons trois méthodes de défuzzification permettant d'exploiter les informations codées sur les ensembles flous de sortie correspondant aux connaissances des experts sur la variable de sortie du modèle. La dernière partie est consacrée à l'identification des règles d'un modèle flou principalement lorsque les observations sur le comportement du système sont imprécises et incertaines. Cette méthode est ensuite utilisée pour l'identification de règles floues dans un problème d'évaluation de confort des sièges d'automobile. Dans cet application industrielle, nous montrons la place des opérateurs humains intervenant en tant que capteurs ou en tant qu'experts dans le processus d'évaluation, puis nous appliquons notre approche à l'identification du lien entre des inconforts et les caractéristiques ressenties du siège
This thesis deals with the modeling and identification of systems using the fuzzy sets theory. The focus is on the modeling of a system when not enough data is available about its behavior and in which a human being participates either as a sensor or as an expert. The first section is devoted to fuzzy modeling based on expert knowledge from experts, who know the functioning of the system to be modeled, or from the designer. In the first case, the fuzzification process has be studied in order to take into account the linguistic information. Making use of linguistic modifiers we propose to the experts two notions, precision and derivation, with the intention that they express their knowledge. In the first part of this work, we mainly use the aspect of precision for the construction of a fuzzy model. In the last part, the notion of derivation is used. Finally, we present a study demonstrating the influence of the fuzzy sets shape on functions approximation. Since we are mainly interested in fuzzy models with crisp outputs, the second part of this work is focused on defuzzification. After studying tlte theoretical basis of defuzzification, we specify the different objectives of the process with a classification according to different methods presented in the literature. Depending on the defuzzification method, this consists of a conversion from the fuzzy domain to a numerical one, a conversion with preferences, an optimized conversion according to a criterion, or a conversion under constraints. Following the classification, we propose three defuzzification methods to exploit the coded information of the output fuzzy set which correspond to the expert knowledge of the model output variable. The last section addresses the identification of the rules of a fuzzy model, particularly when the observations of the behavior's system are uncertain and imprecise. This method is used for the identification of fuzzy rules in the comfort evaluation of automobile seats. With this industrial application, we demonstrate the role of human operators, either as sensors or as experts, in the evaluation process. Finally, we have applied our method to the identification of the relationship between discomforts and seat characteristics

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Berthereau, Frédérique. "Commande vectorielle multialgorithmique de la machine asynchrone avec optimisation par supervision floue." Lille 1, 2001. https://pepite-depot.univ-lille.fr/RESTREINT/Th_Num/2001/50376-2001-23.pdf.

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Le principal problème de la commande vectorielle du moteur asynchrone réside dans l'estimation du flux dans la machine. Comme il n'existe actuellement pas de solutions technologiques satisfaisantes pour mesurer le flux, celui-ci est généralement estimé à partir d'un modèle de la machine. L'estimation du flux est alors naturellement sensible aux incertitudes sur les paramètres électriques intervenant dans ce modèle. Ainsi, l'objectif principal des recherches réalisées est de proposer aux utilisateurs une solution de commande vectorielle robuste ne faisant pas appel à des exigences trop fortes en termes de connaissances paramétriques. Ceci est obtenu en supervisant plusieurs solutions de contrôle ayant des performances satisfaisantes, voire optimales mais dans des plages d'utilisation différentes. La combinaison des différents algorithmes de commandes est réalisée au moyen de la logique floue associée à une étude théorique de sensibilité
Les commandes multialgorithmiques concernent la combinaison de deux modèles de la vitesse angulaire statorique pour orienter le flux dans la machine et la combinaison de deux modèles du courant magnétisant pour estimer l'amplitude du flux. La combinaison de deux estimateurs de flux, l'un déterminé à partir des équations rotoriques de la machine, l'autre déterminé à partir des équations statoriques et la détermination des gains d'un observateur de flux d'ordre réduit ou d'ordre complet au moyen de la logique floue sont également étudiées. Pour chaque stratégie, l'étude de sensibilité est dans un premier temps validée par des essais experimentaux sur un banc équipé du système Matlab-Simulink-dSPACE (basé sur un DSP TMS320C31), en considérant les variations du courant statorique consommé comme indicateur de la qualité du contrôle du flux. Deux des stratégies de commande étudiées sont ensuite utilisées dans deux applications différentes, l'une concerne la traction électrique, l'autre la génération d'énergie par éoliennes

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Tormo, Hélène. "Diversité des flores microbiennes des laits crus de chèvre et facteurs de variabilité." Toulouse 3, 2010. http://thesesups.ups-tlse.fr/1343/.

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Les flores microbiennes des laits crus ont un rôle déterminant sur la qualité technologique et sensorielle des fromages au lait cru. Des études portant sur le lait de vache montrent que la saison et certaines conditions d'élevage peuvent influer sur les niveaux et les équilibres de ces microflores. En lait cru de chèvre, peu de données existent sur ce sujet. Cette étude porte sur (i) l'évaluation des grands groupes microbiens, des espèces bactériennes majoritaires des laits crus de chèvre par des approches culture dépendante et culture indépendante (ii) la connaissance de certains facteurs de variabilité dont les conditions d'élevage et la saison (printemps 2006, hiver 2007), pour des exploitations fromagères fermières issues de zones géographique différentes. Les microflores majoritaires sont par ordre d'importance décroissante : les staphylocoques à coagulase négative, les microcoques et corynébactéries (Arthrobacter spp. , Brevibacterium linens), les bactéries lactiques (Lactococcus lactis, Enteroccocus faecalis, Leuconostoc spp. , Enterococcus faecium), les coliformes (Serratia spp. , Enterobacter spp. , Raoulterra planticola). L'analyse statistique des facteurs explicatifs de la variabilité des flores microbiennes des laits a mis en évidence l'effet de la saison et de certaines conditions d'élevage. La nature de la litière, les conditions d'ambiance de la zone où la traite est effectuée, l'hygiène autour de la traite, ainsi que l'attention portée au suivi sanitaire des animaux, sont les principaux facteurs qui pourraient expliquer les différences d'importance et de répartition des groupes et des espèces bactériennes dans les laits crus de chèvre. Ce travail montre qu'il est possible à travers un choix judicieux de pratiques, d'obtenir un lait de bonne qualité sanitaire où les flores microbiennes d'intérêts technologiques sont dominantes (bactéries lactiques, microcoques et bactéries corynéformes)
The microbial flora in raw milk plays a determining role in the technological and sensory quality of raw milk cheese. Studies on cow's milk have show that the season and some farming practices can have an impact on the levels and the equilibrium of this microflora. However, there is very little data regarding raw goat's milk. This study concerns (i) the evaluation of the major microbial groups and the main bacterial species in raw goat's milk using culture dependent and culture independent methods (ii) the knowledge of some factors of variability, including farming conditions and the season (spring 2006, winter 2007), on farms producing farmhouse cheese in different geographic areas. The main microfloras in decreasing order of importance are: coagulase negative staphylococci, micrococci and corynebacteria (Arthrobacter spp. , Brevibacterium linens), lactic acid bacteria (Lactococcus lactis, Enteroccocus faecalis, Leuconostoc spp. , Enterococcus faecium) and coliforms (Serratia spp. , Enterobacter spp. , Raoulterra planticola). The statistical analysis of the factors that can explain the variability of the microbial flora in milk has highlighted a seasonal effect as well as an effect of certain management practices. The nature of the bedding, the atmospheric conditions in the milking area, milking hygiene, as well as the attention given to animal health, are the main factors that could explain the significant differences and the distribution of bacterial groups and species in raw goat's milk. This work shows that it is possible, by making the right choices in terms of farming practices, to obtain milk of good sanitary quality in which the dominant microbial flora is of technological interest (lactic acid bacteria, micrococci and coryneform bacteria)

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Koehl, Ludovic. "Conception et réalisation d'un estimateur de dimension fractale par utilisation de techniques floues." Lille 1, 1998. https://pepite-depot.univ-lille.fr/LIBRE/Th_Num/1998/50376-1998-1.pdf.

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Nombre de paramètres permettent de caractériser la géométrie fractale, parmi lesquels la dimension fractale est la plus importante. Une nouvelle méthode d'estimation de la dimension fractale de courbes conciliant a la fois précision, rapidité et lisibilité est proposée. Le modèle mis en oeuvre est base sur des techniques floues particulièrement bien adaptées aux problèmes de modélisation complexes de nature descriptive ou intuitive. L'optimisation des paramètres internes du modèle flou et une simplification de ce dernier par la construction d'une structure hiérarchique sont réalisées conjointement par algorithme génétique et l'emploi d'un automate d'apprentissage.

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Langlet, Jonatan. "Towards Machine Learning Inference in the Data Plane." Thesis, Karlstads universitet, Institutionen för matematik och datavetenskap (from 2013), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-72875.

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Recently, machine learning has been considered an important tool for various networkingrelated use cases such as intrusion detection, flow classification, etc. Traditionally, machinelearning based classification algorithms run on dedicated machines that are outside of thefast path, e.g. on Deep Packet Inspection boxes, etc. This imposes additional latency inorder to detect threats or classify the flows.With the recent advance of programmable data planes, implementing advanced function-ality directly in the fast path is now a possibility. In this thesis, we propose to implementArtificial Neural Network inference together with flow metadata extraction directly in thedata plane of P4 programmable switches, routers, or Network Interface Cards (NICs).We design a P4 pipeline, optimize the memory and computational operations for our dataplane target, a programmable NIC with Micro-C external support. The results show thatneural networks of a reasonable size (i.e. 3 hidden layers with 30 neurons each) can pro-cess flows totaling over a million packets per second, while the packet latency impact fromextracting a total of 46 features is 1.85μs.

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Deadman, Benjamin Jade. "New tools for flow chemistry and the machine assisted synthesis of pharmaceuticals." Thesis, University of Cambridge, 2013. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.648306.

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Clement, Benjamin. "Adaptive Personalization of Pedagogical Sequences using Machine Learning." Thesis, Bordeaux, 2018. http://www.theses.fr/2018BORD0373/document.

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Les ordinateurs peuvent-ils enseigner ? Pour répondre à cette question, la recherche dans les Systèmes Tuteurs Intelligents est en pleine expansion parmi la communauté travaillant sur les Technologies de l'Information et de la Communication pour l'Enseignement (TICE). C'est un domaine qui rassemble différentes problématiques et réunit des chercheurs venant de domaines variés, tels que la psychologie, la didactique, les neurosciences et, plus particulièrement, le machine learning. Les technologies numériques deviennent de plus en plus présentes dans la vie quotidienne avec le développement des tablettes et des smartphones. Il semble naturel d'utiliser ces technologies dans un but éducatif. Cela amène de nombreuses problématiques, telles que comment faire des interfaces accessibles à tous, comment rendre des contenus pédagogiques motivants ou encore comment personnaliser les activités afin d'adapter le contenu à chacun. Au cours de cette thèse, nous avons développé des méthodes, regroupées dans un framework nommé HMABITS, afin d'adapter des séquences d'activités pédagogiques en fonction des performances et des préférences des apprenants, dans le but de maximiser leur vitesse d'apprentissage et leur motivation. Ces méthodes utilisent des modèles computationnels de motivation intrinsèque pour identifier les activités offrant les plus grands progrès d'apprentissage, et utilisent des algorithmes de Bandits Multi-Bras pour gérer le compromis exploration/exploitation à l'intérieur de l'espace d'activité. Les activités présentant un intérêt optimal sont ainsi privilégiées afin de maintenir l'apprenant dans un état de Flow ou dans sa Zone de Développement Proximal. De plus, certaines de nos méthodes permettent à l'apprenant de faire des choix sur des caractéristiques contextuelles ou le contenu pédagogique de l'application, ce qui est un vecteur d'autodétermination et de motivation. Afin d'évaluer l'efficacité et la pertinence de nos algorithmes, nous avons mené plusieurs types d'expérimentation. Nos méthodes ont d'abord été testées en simulation afin d'évaluer leur fonctionnement avant de les utiliser dans d'actuelles applications d'apprentissage. Pour ce faire, nous avons développé différents modèles d'apprenants, afin de pouvoir éprouver nos méthodes selon différentes approches, un modèle d'apprenant virtuel ne reflétant jamais le comportement d'un apprenant réel. Les résultats des simulations montrent que le framework HMABITS permet d'obtenir des résultats d'apprentissage comparables et, dans certains cas, meilleurs qu'une solution optimale ou qu'une séquence experte. Nous avons ensuite développé notre propre scénario pédagogique et notre propre serious game afin de tester nos algorithmes en situation réelle avec de vrais élèves. Nous avons donc développé un jeu sur la thématique de la décomposition des nombres, au travers de la manipulation de la monnaie, pour les enfants de 6 à 8 ans. Nous avons ensuite travaillé avec le rectorat et différentes écoles de l'académie de bordeaux. Sur l'ensemble des expérimentations, environ 1000 élèves ont travaillé sur l'application sur tablette. Les résultats des études en situation réelle montrent que le framework HMABITS permet aux élèves d'accéder à des activités plus diverses et plus difficiles, d'avoir un meilleure apprentissage et d'être plus motivés qu'avec une séquence experte. Les résultats montrent même que ces effets sont encore plus marqués lorsque les élèves ont la possibilité de faire des choix
Can computers teach people? To answer this question, Intelligent Tutoring Systems are a rapidly expanding field of research among the Information and Communication Technologies for the Education community. This subject brings together different issues and researchers from various fields, such as psychology, didactics, neurosciences and, particularly, machine learning. Digital technologies are becoming more and more a part of everyday life with the development of tablets and smartphones. It seems natural to consider using these technologies for educational purposes. This raises several questions, such as how to make user interfaces accessible to everyone, how to make educational content motivating and how to customize it to individual learners. In this PhD, we developed methods, grouped in the aptly-named HMABITS framework, to adapt pedagogical activity sequences based on learners' performances and preferences to maximize their learning speed and motivation. These methods use computational models of intrinsic motivation and curiosity-driven learning to identify the activities providing the highest learning progress and use Multi-Armed Bandit algorithms to manage the exploration/exploitation trade-off inside the activity space. Activities of optimal interest are thus privileged with the target to keep the learner in a state of Flow or in his or her Zone of Proximal Development. Moreover, some of our methods allow the student to make choices about contextual features or pedagogical content, which is a vector of self-determination and motivation. To evaluate the effectiveness and relevance of our algorithms, we carried out several types of experiments. We first evaluated these methods with numerical simulations before applying them to real teaching conditions. To do this, we developed multiple models of learners, since a single model never exactly replicates the behavior of a real learner. The simulation results show the HMABITS framework achieves comparable, and in some cases better, learning results than an optimal solution or an expert sequence. We then developed our own pedagogical scenario and serious game to test our algorithms in classrooms with real students. We developed a game on the theme of number decomposition, through the manipulation of money, for children aged 6 to 8. We then worked with the educational institutions and several schools in the Bordeaux school district. Overall, about 1000 students participated in trial lessons using the tablet application. The results of the real-world studies show that the HMABITS framework allows the students to do more diverse and difficult activities, to achieve better learning and to be more motivated than with an Expert Sequence. The results show that this effect is even greater when the students have the possibility to make choices

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Shelley, Anthony N. "INCORPORATING MACHINE VISION IN PRECISION DAIRY FARMING TECHNOLOGIES." UKnowledge, 2016. http://uknowledge.uky.edu/ece_etds/86.

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The inclusion of precision dairy farming technologies in dairy operations is an area of increasing research and industry direction. Machine vision based systems are suitable for the dairy environment as they do not inhibit workflow, are capable of continuous operation, and can be fully automated. The research of this dissertation developed and tested 3 machine vision based precision dairy farming technologies tailored to the latest generation of RGB+D cameras. The first system focused on testing various imaging approaches for the potential use of machine vision for automated dairy cow feed intake monitoring. The second system focused on monitoring the gradual change in body condition score (BCS) for 116 cows over a nearly 7 month period. Several proposed automated BCS systems have been previously developed by researchers, but none have monitored the gradual change in BCS for a duration of this magnitude. These gradual changes infer a great deal of beneficial and immediate information on the health condition of every individual cow being monitored. The third system focused on automated dairy cow feature detection using Haar cascade classifiers to detect anatomical features. These features included the tailhead, hips, and rear regions of the cow body. The features chosen were done so in order to aid machine vision applications in determining if and where a cow is present in an image or video frame. Once the cow has been detected, it must then be automatically identified in order to keep the system fully automated, which was also studied in a machine vision based approach in this research as a complimentary aspect to incorporate along with cow detection. Such systems have the potential to catch poor health conditions developing early on, aid in balancing the diet of the individual cow, and help farm management to better facilitate resources, monetary and otherwise, in an appropriate and efficient manner. Several different applications of this research are also discussed along with future directions for research, including the potential for additional automated precision dairy farming technologies, integrating many of these technologies into a unified system, and the use of alternative, potentially more robust machine vision cameras.

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Книги з теми "Flower machine"

Fast, fusible flower quilts. Bothell, WA: Martingale & Company, 2011.

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Waldman, Joan Sjuts. Flower patterns: To appliqué, paint, and embroider. Paducah, KY: American Quilter's Society, 2000.

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Burbank, Doreen Cronkite. Fantasy flowers: Pieced flowers for quilters. Bothell, WA: That Patchwork Place, 1992.

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Watts, Pamela. Embroidered flowers. London: Batsford, 1997.

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Jones, Liz. Flowers, hearts, and garlands quilt. Paducah, Ky: American Quilter's Society, 2011.

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Cutting-garden quilts: Fabulous fusible flowers. Woodinville, WA: Martingale, 2007.

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Soft gardens: Make flowers with your sewing machine. Radnor, Pa: Chilton Book Co., 1993.

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Schwartz, Liz. Fresh cut flowers. Newport, Va: Zippy Designs Pub., 2002.

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Arasu, A. Valan. Turbo machines. New Delhi: Vikas Publishing House, 2008.

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Husain, Zoeb. Basic fluid mechanics and hydraulic machines. Hyderabad [India]: BS Publications, 2008.

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Частини книг з теми "Flower machine"

Safar, Amna, and Maytham Safar. "Intelligent Flower Detection System Using Machine Learning." In Advances in Intelligent Systems and Computing, 463–72. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-29513-4_33.

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Bezdan, Timea, Miodrag Zivkovic, Milos Antonijevic, Tamara Zivkovic, and Nebojsa Bacanin. "Enhanced Flower Pollination Algorithm for Task Scheduling in Cloud Computing Environment." In Machine Learning for Predictive Analysis, 163–71. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-7106-0_16.

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Parmar, Rupali, Sulochana Wadhwani, and Manjaree Pandit. "Modified Flower Pollination Algorithm for Optimal Power Flow in Transmission Congestion." In Machine Intelligence and Signal Processing, 185–200. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-1366-4_15.

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Le, Thai Hoang, Hai Son Tran, and Thuy Thanh Nguyen. "Applying Multi Support Vector Machine for Flower Image Classification." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 268–81. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-36642-0_27.

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Goyal, Saumya, Atul Sharma, Piyush Gupta, and Pragya Chandi. "Assessment of Iris Flower Classification Using Machine Learning Algorithms." In Soft Computing for Intelligent Systems, 641–49. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-1048-6_50.

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Rodrigues, Douglas, Gustavo Henrique de Rosa, Leandro Aparecido Passos, and João Paulo Papa. "Adaptive Improved Flower Pollination Algorithm for Global Optimization." In Nature-Inspired Computation in Data Mining and Machine Learning, 1–21. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-28553-1_1.

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Chen, Yu-Hsun, Marco Ceccarelli, and Hong-Sen Yan. "Reconstruction of an Ancient Blossoming Flower Automaton with a Circular-arc Cam." In Advances in Mechanism and Machine Science, 1151–60. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-20131-9_114.

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Alihodzic, Adis, Eva Tuba, and Milan Tuba. "An Improved Extreme Learning Machine Tuning by Flower Pollination Algorithm." In Nature-Inspired Computation in Data Mining and Machine Learning, 95–112. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-28553-1_5.

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Islam, Towhidul, Nurul Absar, Abzetdin Z. Adamov, and Mayeen Uddin Khandaker. "A Machine Learning Driven Android Based Mobile Application for Flower Identification." In Applied Intelligence and Informatics, 163–75. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-82269-9_13.

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Tawhid, Mohamed A., and Abdelmonem M. Ibrahim. "Hybrid Binary Particle Swarm Optimization and Flower Pollination Algorithm Based on Rough Set Approach for Feature Selection Problem." In Nature-Inspired Computation in Data Mining and Machine Learning, 249–73. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-28553-1_12.

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Тези доповідей конференцій з теми "Flower machine"

Nilsback, M. E., and A. Zisserman. "Delving into the whorl of flower segmentation." In British Machine Vision Conference 2007. British Machine Vision Association, 2007. http://dx.doi.org/10.5244/c.21.54.

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Pinto, Joylin Priya, Soumya Kelur, and Jyothi Shetty. "Iris Flower Species Identification Using Machine Learning Approach." In 2018 4th International Conference for Convergence in Technology (I2CT). IEEE, 2018. http://dx.doi.org/10.1109/i2ct42659.2018.9057891.

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Zawbaa, Hossam M., Mona Abbass, Sameh H. Basha, Maryam Hazman, and Abul Ella Hassenian. "An automatic flower classification approach using machine learning algorithms." In 2014 International Conference on Advances in Computing, Communications and Informatics (ICACCI). IEEE, 2014. http://dx.doi.org/10.1109/icacci.2014.6968612.

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Mete, Busra Rumeysa, and Tolga Ensari. "Flower Classification with Deep CNN and Machine Learning Algorithms." In 2019 3rd International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT). IEEE, 2019. http://dx.doi.org/10.1109/ismsit.2019.8932908.

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Darshini, Ch Gayathri Priya, T. Tejasri, D. Jacob Raj, and V. V. N. V. Phani Kumar. "Energy Efficient Virtual Machine Placement using Flower Pollination Algorithm." In 2022 International Conference on Electronics and Renewable Systems (ICEARS). IEEE, 2022. http://dx.doi.org/10.1109/icears53579.2022.9752166.

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Wang, Yuxin, Dongsheng Li, Yao Lu, Zexin Cheng, and Yang Gao. "Improved Flower Pollination Algorithm Based on Mutation Strategy." In 2017 9th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC). IEEE, 2017. http://dx.doi.org/10.1109/ihmsc.2017.188.

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Boriratrit, Sarunyoo, Sirapat Chiewchanwattana, Khamron Sunat, Pakarat Musikawan, and Punyaphol Horata. "Improvement flower pollination extreme learning machine based on meta-learning." In 2016 13th International Joint Conference on Computer Science and Software Engineering (JCSSE). IEEE, 2016. http://dx.doi.org/10.1109/jcsse.2016.7748871.

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Nunes, Hugo, Luis Pestana, Silvio Mariano, and Maria R. Calado. "Position Control of Linear Switched Reluctance Machine using Flower Pollination Algorithm." In 2018 International Conference on Intelligent Systems (IS). IEEE, 2018. http://dx.doi.org/10.1109/is.2018.8710462.

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Lu, Siyuan, Zhihai Lu, Xianqing Chen, Shuihua Wang, and Yudong Zhang. "Flower classification based on single petal image and machine learning methods." In 2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD). IEEE, 2017. http://dx.doi.org/10.1109/fskd.2017.8393382.

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Kishotha, S., and B. Mayurathan. "Machine Learning Approach to Improve Flower Classification Using Multiple Feature Set." In 2019 IEEE 14th Conference on Industrial and Information Systems (ICIIS). IEEE, 2019. http://dx.doi.org/10.1109/iciis47346.2019.9063349.

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Звіти організацій з теми "Flower machine"

Bilek, Ted. ChargeOut! : discounted cash flow compared with traditional machine-rate analysis. Madison, WI: U.S. Department of Agriculture, Forest Service, Forest Products Laboratory, 2008. http://dx.doi.org/10.2737/fpl-gtr-178.

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Chen, Z., S. R. Stoyanov, X. Liu, J. Mane, and E. Little. Applications of machine learning to geoscience: nanoporosity and fluid flow in tight formations. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2019. http://dx.doi.org/10.4095/313629.

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Alizadeh, Farid, and Andrew Goldberg. Implementing the Push-Relabel Method for the Maximum Flow Problem on a Connection Machine. Fort Belvoir, VA: Defense Technical Information Center, February 1992. http://dx.doi.org/10.21236/ada323468.

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Bilek, E. M. (Ted). ChargeOut! : determining machine and capital equipment charge-out rates using discounted cash-flow analysis. Madison, WI: U.S. Department of Agriculture, Forest Service, Forest Products Laboratory, 2007. http://dx.doi.org/10.2737/fpl-gtr-171.

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Goldberg, L. F. One- and two-dimensional Stirling machine simulation using experimentally generated reversing flow turbuulence models. Office of Scientific and Technical Information (OSTI), August 1990. http://dx.doi.org/10.2172/10181050.

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Liu, Y. Support vector machine for the prediction of future trend of Athabasca River (Alberta) flow rate. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2017. http://dx.doi.org/10.4095/299739.

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Chen, Yunxiang, Jie Bao, Jianqiu Zheng, Peiyuan Gao, Qizhi He, James Stegen, Brenda Ng, Xiaofeng Liu, Roman Dibiase, and Chaopeng Shen. Upscaling cross-scale flow and respiration interactions at river sediment interface leveraging observation, numerical models, and machine learning. Office of Scientific and Technical Information (OSTI), April 2021. http://dx.doi.org/10.2172/1769792.

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Raychev, Nikolay. Can human thoughts be encoded, decoded and manipulated to achieve symbiosis of the brain and the machine. Web of Open Science, October 2020. http://dx.doi.org/10.37686/nsrl.v1i2.76.

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This article discusses the current state of neurointerface technologies, not limited to deep electrode approaches. There are new heuristic ideas for creating a fast and broadband channel from the brain to artificial intelligence. One of the ideas is not to decipher the natural codes of nerve cells, but to create conditions for the development of a new language for communication between the human brain and artificial intelligence tools. Theoretically, this is possible if the brain "feels" that by changing the activity of nerve cells that communicate with the computer, it is possible to "achieve" the necessary actions for the body in the external environment, for example, to take a cup of coffee or turn on your favorite music. At the same time, an artificial neural network that analyzes the flow of nerve impulses must also be directed at the brain, trying to guess the body's needs at the moment with a minimum number of movements. The most important obstacle to further progress is the problem of biocompatibility, which has not yet been resolved. This is even more important than the number of electrodes and the power of the processors on the chip. When you insert a foreign object into your brain, it tries to isolate itself from it. This is a multidisciplinary topic not only for doctors and psychophysiologists, but also for engineers, programmers, mathematicians. Of course, the problem is complex and it will be possible to overcome it only with joint efforts.

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Law, Edward, Samuel Gan-Mor, Hazel Wetzstein, and Dan Eisikowitch. Electrostatic Processes Underlying Natural and Mechanized Transfer of Pollen. United States Department of Agriculture, May 1998. http://dx.doi.org/10.32747/1998.7613035.bard.

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The project objective was to more fully understand how the motion of pollen grains may be controlled by electrostatic forces, and to develop a reliable mechanized pollination system based upon sound electrostatic and aerodynamic principles. Theoretical and experimental analyses and computer simulation methods which investigated electrostatic aspects of natural pollen transfer by insects found that: a) actively flying honeybees accumulate ~ 23 pC average charge (93 pC max.) which elevates their bodies to ~ 47 V likely by triboelectrification, inducing ~ 10 fC of opposite charge onto nearby pollen grains, and overcoming their typically 0.3-3.9 nN detachment force resulting in non-contact electrostatic pollen transfer across a 5 mm or greater air gap from anther-to-bee, thus providing a theoretical basis for earlier experimental observations and "buzz pollination" events; b) charge-relaxation characteristics measured for flower structural components (viz., 3 ns and 25 ns time constants, respectively, for the stigma-style vs. waxy petal surfaces) ensure them to be electrically appropriate targets for electrodeposition of charged pollen grains but not differing sufficiently to facilitate electrodynamic focusing onto the stigma; c) conventional electrostatic focusing beneficially concentrates pollen-deposition electric fields onto the pistill tip by 3-fold as compared to that onto underlying flower structures; and d) pollen viability is adequately maintained following exposure to particulate charging/management fields exceeding 2 MV/m. Laboratory- and field-scale processes/prototype machines for electrostatic application of pollen were successfully developed to dispense pollen in both a dry-powder phase and in a liquid-carried phase utilizing corona, triboelectric, and induction particulate-charging methods; pollen-charge levels attained (~ 1-10 mC/kg) provide pollen-deposition forces 10-, 77-, and 100-fold greater than gravity, respectively, for such charged pollen grains subjected to a 1 kV/cm electric field. Lab and field evaluations have documented charged vs. ukncharged pollen deposition to be significantly (a = 0.01-0.05) increased by 3.9-5.6 times. Orchard trials showed initial fruit set on branches individually treated with electrostatically applied pollen to typically increase up to ~ 2-fold vs. uncharged pollen applications; however, whole-tree applications have not significantly shown similar levels of benefit and corrective measures continue. Project results thus contribute important basic knowledge and applied electrostatics technology which will provide agriculture with alternative/supplemental mechanized pollination systems as tranditional pollen-transfer vectors are further endangered by natural and man-fade factors.

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Harris, L. B., P. Adiban, and E. Gloaguen. The role of enigmatic deep crustal and upper mantle structures on Au and magmatic Ni-Cu-PGE-Cr mineralization in the Superior Province. Natural Resources Canada/CMSS/Information Management, 2021. http://dx.doi.org/10.4095/328984.

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Aeromagnetic and ground gravity data for the Canadian Superior Province, filtered to extract long wavelength components and converted to pseudo-gravity, highlight deep, N-S trending regional-scale, rectilinear faults and margins to discrete, competent mafic or felsic granulite blocks (i.e. at high angles to most regional mapped structures and sub-province boundaries) with little to no surface expression that are spatially associated with lode ('orogenic') Au and Ni-Cu-PGE-Cr occurrences. Statistical and machine learning analysis of the Red Lake-Stormy Lake region in the W Superior Province confirms visual inspection for a greater correlation between Au deposits and these deep N-S structures than with mapped surface to upper crustal, generally E-W trending, faults and shear zones. Porphyry Au, Ni, Mo and U-Th showings are also located above these deep transverse faults. Several well defined concentric circular to elliptical structures identified in the Oxford Stull and Island Lake domains along the S boundary of the N Superior proto-craton, intersected by N- to NNW striking extensional fractures and/or faults that transect the W Superior Province, again with little to no direct surface or upper crustal expression, are spatially associated with magmatic Ni-Cu-PGE-Cr and related mineralization and Au occurrences. The McFaulds Lake greenstone belt, aka. 'Ring of Fire', constitutes only a small, crescent-shaped belt within one of these concentric features above which 2736-2733 Ma mafic-ultramafic intrusions bodies were intruded. The Big Trout Lake igneous complex that hosts Cr-Pt-Pd-Rh mineralization west of the Ring of Fire lies within a smaller concentrically ringed feature at depth and, near the Ontario-Manitoba border, the Lingman Lake Au deposit, numerous Au occurrences and minor Ni showings, are similarly located on concentric structures. Preliminary magnetotelluric (MT) interpretations suggest that these concentric structures appear to also have an expression in the subcontinental lithospheric mantle (SCLM) and that lithospheric mantle resistivity features trend N-S as well as E-W. With diameters between ca. 90 km to 185 km, elliptical structures are similar in size and internal geometry to coronae on Venus which geomorphological, radar, and gravity interpretations suggest formed above mantle upwellings. Emplacement of mafic-ultramafic bodies hosting Ni-Cr-PGE mineralization along these ringlike structures at their intersection with coeval deep transverse, ca. N-S faults (viz. phi structures), along with their location along the margin to the N Superior proto-craton, are consistent with secondary mantle upwellings portrayed in numerical models of a mantle plume beneath a craton with a deep lithospheric keel within a regional N-S compressional regime. Early, regional ca. N-S faults in the W Superior were reactivated as dilatational antithetic (secondary Riedel/R') sinistral shears during dextral transpression and as extensional fractures and/or normal faults during N-S shortening. The Kapuskasing structural zone or uplift likely represents Proterozoic reactivation of a similar deep transverse structure. Preservation of discrete faults in the deep crust beneath zones of distributed Neoarchean dextral transcurrent to transpressional shear zones in the present-day upper crust suggests a 'millefeuille' lithospheric strength profile, with competent SCLM, mid- to deep, and upper crustal layers. Mechanically strong deep crustal felsic and mafic granulite layers are attributed to dehydration and melt extraction. Intra-crustal decoupling along a ductile décollement in the W Superior led to the preservation of early-formed deep structures that acted as conduits for magma transport into the overlying crust and focussed hydrothermal fluid flow during regional deformation. Increase in the thickness of semi-brittle layers in the lower crust during regional metamorphism would result in an increase in fracturing and faulting in the lower crust, facilitating hydrothermal and carbonic fluid flow in pathways linking SCLM to the upper crust, a factor explaining the late timing for most orogenic Au. Results provide an important new dataset for regional prospectively mapping, especially with machine learning, and exploration targeting for Au and Ni-Cr-Cu-PGE mineralization. Results also furnish evidence for parautochthonous development of the S Superior Province during plume-related rifting and cannot be explained by conventional subduction and arc-accretion models.

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