Bibliografias temáticas / Histogramme de forces

Literatura científica selecionada sobre o tema "Histogramme de forces"

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Publicado: 25 de maio de 2024

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Artigos de revistas sobre o assunto "Histogramme de forces"

Revelly, JP, F. Feihl, T. Liebling e C. Perret. "Time constant histograms from the forced expired volume signal: a clinical evaluation". European Respiratory Journal 2, n.º 6 (1 de junho de 1989): 536–42. http://dx.doi.org/10.1183/09031936.93.02060536.

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We evaluated a multicompartment analysis of forced expiration, based on modelling the lung as a set of twenty parallel compartments emptying exponentially with time constants ranging from 0.1-10 s; the forced expired volume signal was represented by a histogram showing the fraction of forced vital capacity as a function of compartmental time constants. We applied this technique to 80 healthy and 12 asthmatic subjects. The histograms computed from three consecutive forced expirations were poorly reproducible in 18 of the 80 healthy and 2 of the 12 asthmatic subjects. In the asthmatics, the time constant histograms conveyed no additional information on bronchial obstruction, beyond that already present in standard spirometric indices. A simulation study showed a high sensitivity of the histograms to the truncation of the terminal part of forced expiration. We conclude that the usefulness of the time constant histogram technique appears doubtful.

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Su, Lian Cheng, Yan E. Shi e Xiao Li Li. "Fault Diagnosis of Bearing Based on the Ultrasonic Amplitude Histogram". Advanced Materials Research 479-481 (fevereiro de 2012): 1361–64. http://dx.doi.org/10.4028/www.scientific.net/amr.479-481.1361.

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The bearing of rotating machine often fails due to the frictional forces of rolling element, such frictional forces often generate a series of ultrasound, and that is to say, there must be some necessary relationships between the faults of rotating machinery equipment and the ultrasound from the equipment. In this paper, the histogram method which is the simplest method in statistics is used to analyze the ultrasonic signals. Through the analysis, the bearing faults could be preliminarily diagnosed. A verification research with respect to vibration method is carried out to analyze the effectiveness and superiority of ultrasonic method by using the histogram. Extensive experiments have been performed in a bearing vibration measuring instrument, and the results indicated that the fault diagnosis method based on the ultrasonic amplitude histogram is more useful than the method based on the vibration amplitude histogram. In addition, it is more sensitive and more effective than the method based on vibration amplitude histogram.

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Gurung, Ram B., Tony Lindgren e Henrik Boström. "Learning Random Forest from Histogram Data Using Split Specific Axis Rotation". International Journal of Machine Learning and Computing 8, n.º 1 (fevereiro de 2018): 74–79. http://dx.doi.org/10.18178/ijmlc.2018.8.1.666.

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Buck, Andrew R., James M. Keller e Marjorie Skubic. "A Memetic Algorithm for Matching Spatial Configurations With the Histograms of Forces". IEEE Transactions on Evolutionary Computation 17, n.º 4 (agosto de 2013): 588–604. http://dx.doi.org/10.1109/tevc.2012.2226889.

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Grepl, Jan, Karel Frydrýšek e Marek Penhaker. "A Probabilistic Model of the Interaction between a Sitting Man and a Seat". Applied Mechanics and Materials 684 (outubro de 2014): 413–19. http://dx.doi.org/10.4028/www.scientific.net/amm.684.413.

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This article focuses on the biomechanical evaluation of the interaction between load forces to which a sitting man and the seat are mutually exposed. The load forces, which consider actual dispersion in the human population through histograms, are determined using a probabilistic method known as the Simulation-Based Reliability Assessment (SBRA). A simple flat model shows a basic and high-quality stochastic evaluation of all the forces that affect the man and the seat. The results and methodology can be used in many areas of biomechanics, ergonomics or industrial design.

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Ni, Jingbo, e Pascal Matsakis. "An equivalent definition of the histogram of forces: Theoretical and algorithmic implications". Pattern Recognition 43, n.º 4 (abril de 2010): 1607–17. http://dx.doi.org/10.1016/j.patcog.2009.09.020.

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Chapple, William D. "Regulation of Muscle Stiffness During Periodic Length Changes in the Isolated Abdomen of the Hermit Crab". Journal of Neurophysiology 78, n.º 3 (1 de setembro de 1997): 1491–503. http://dx.doi.org/10.1152/jn.1997.78.3.1491.

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Chapple, William. Regulation of muscle stiffness during periodic length changes in the isolated abdomen of the hermit crab. J. Neurophysiol. 78: 1491–1503, 1997. Reflex activation of the ventral superficial muscles (VSM) in the abdomen of the hermit crab, Pagurus pollicarus, was studied using sinusoidal and stochastic longitudinal vibration of the muscle while recording the length and force of the muscle and the spike times of three exciter motoneurons. In the absence of vibration, the interspike interval histograms of the two larger motoneurons were bimodal; cutting sensory nerves containing most of the mechanoreceptor input removed the short interval peak in the histogram, indicating that the receptors are important in maintaining tonic firing. Vibration of the muscle evoked a reflex increase in motoneuron frequency that habituated after an initial peak but remained above control levels for the duration of stimulation. Motoneuron frequency increased with root mean square (rms) stimulus amplitude. Average stiffness during stimulation was about two times the stiffness of passive muscle. The reflex did not alter muscle dynamics. Estimated transfer functions were calculated from the fast Fourier transform of length and force signals. Coherence was >0.9 for the frequency range of 3–35 Hz. Stiffness magnitude gradually increased over this range in both reflex activated and passive muscle; phase was between 10 and 20°. Reflex stiffness decreased with increasing stimulus amplitudes, but at larger amplitudes, this decrease was much less pronounced; in this range stiffness was regulated by the reflex. The sinusoidal frequency at which reflex bursts were elicited was ∼6 Hz, consistent with previous measurements using ramp stretch. During reflex excitation, there was an increase in amplitude of the short interval peak in the interspike interval histogram; this was reduced when the majority of afferent pathways was removed. A phase histogram of motoneuron firing during sinusoidal vibration had a peak at ∼110 ms, also suggesting that an important component of the reflex is via direct projections from the mechanoreceptors. These results are consistent with the hypothesis that a robust feedforward regulation of abdominal stiffness during continuous disturbances is achieved by mechanoreceptors signalling the absolute value of changing forces; habituation of the reflex, its high-threshold for low frequency disturbances and the activation kinetics of the muscle further modify reflex dynamics.

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Wendling, Laurent, Salvatore Tabbone e Pascal Matsakis. "Fast and robust recognition of orbit and sinus drawings using histograms of forces". Pattern Recognition Letters 23, n.º 14 (dezembro de 2002): 1687–93. http://dx.doi.org/10.1016/s0167-8655(02)00131-9.

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Lelièvre, Tony, Lise Maurin e Pierre Monmarché. "The adaptive biasing force algorithm with non-conservative forces and related topics". ESAIM: Mathematical Modelling and Numerical Analysis 56, n.º 2 (28 de fevereiro de 2022): 529–64. http://dx.doi.org/10.1051/m2an/2022010.

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We propose a study of the Adaptive Biasing Force method’s robustness under generic (possibly non-conservative) forces. We first ensure the flat histogram property is satisfied in all cases. We then introduce a fixed point problem yielding the existence of a stationary state for both the Adaptive Biasing Force and Projected Adapted Biasing Force algorithms, relying on generic bounds on the invariant probability measures of homogeneous diffusions. Using classical entropy techniques, we prove the exponential convergence of both biasing force and law as time goes to infinity, for both the Adaptive Biasing Force and the Projected Adaptive Biasing Force methods.

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Karel, Frydrýšek, Čepica Daniel e Halo Tomáš. "Stochastic Loading of a Sitting Human". Strojnícky časopis - Journal of Mechanical Engineering 69, n.º 2 (1 de junho de 2019): 97–110. http://dx.doi.org/10.2478/scjme-2019-0020.

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AbstractThe aim of this paper is the biomechanical evaluation of the interaction between load forces to which a sitting man and the seat are exposed. All loads, which consider actual anthropometry histograms of human population (i.e. segmentation of human weight, height, centroids, gravity and shape of seat) are determined using the direct Monte Carlo Method. All inputs are based on the theory of probability (i.e. random/probabilistic inputs and outputs with respect their variabilities). A simple plane model (i.e. probabilistic normal forces and bending moments) shows a sufficient stochastic/probabilistic evaluation connected with biomechanics, ergonomics, medical engineering (implants, rehabilitation, traumatology, orthopaedics, surgery etc.) or industrial design.

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Mais fontes

Teses / dissertações sobre o assunto "Histogramme de forces"

Deléarde, Robin. "Configurations spatiales et segmentation pour la compréhension de scènes, application à la ré-identification". Electronic Thesis or Diss., Université Paris Cité, 2022. http://www.theses.fr/2022UNIP7020.

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La modélisation de la configuration spatiale des objets d’une image est un sujet encore peu abordé à ce jour, y compris dans les approches les plus modernes de vision par ordinateur comme les réseaux convolutionnels (CNN). Pourtant, il s’agit d’un aspect essentiel de la perception des scènes, et l’intégrer dans les modélisations devrait bénéficier à de nombreuses tâches du domaine, en contribuant à combler le "fossé sémantique" entre l’image numérique et l’interprétation de son contenu. Ainsi, cette thèse a pour objet l’amélioration des techniques de modélisation de la configuration spatiale, afin de l’exploiter dans des systèmes de description et de reconnaissance. Dans un premier temps, nous nous sommes penchés sur le cas de la configuration spatiale entre deux objets, en proposant une amélioration d’un descripteur existant. Ce nouveau descripteur appelé "bandeau de forces" est une extension de l’histogramme du même nom à tout un panel de forces, ce qui permet de mieux décrire les configurations complexes. Nous avons pu montrer son intérêt pour la description de scènes, en apprenant à classifier automatiquement des relations en langage naturel à partir de paires d’objets segmentés. Nous avons alors abordé la problématique du passage à des scènes comportant plusieurs objets, proposant une approche par objet en confrontant chaque objet à l’ensemble des autres, plutôt qu’en ayant un descripteur par paire. Dans un second temps, le contexte CIFRE nous a amenés à traiter une application au problème de la ré-identification de scènes ou d’objets, tâche qui s’apparente à la reconnaissance fine à partir de peu d’exemples. Pour cela, nous nous basons sur une approche traditionnelle en décrivant les constituants de la scène par différents descripteurs dédiés à des caractéristiques spécifiques, comme la couleur ou la forme, auxquelles nous ajoutons la configuration spatiale. La comparaison de deux scènes se fait alors en appariant leurs constituants grâce à ces caractéristiques, en utilisant par exemple l’algorithme hongrois. Différentes associations de caractéristiques peuvent être considérées pour l’appariement et pour le calcul du score final, selon les invariances présentes et recherchées. Pour chacun de ces deux sujets, nous avons été confrontés aux problèmes des données et de la segmentation. Nous avons alors généré et annoté un jeu de données synthétiques, et exploité deux jeux de données existants en les segmentant, dans deux cadres différents. La première approche concerne la segmentation objet-fond et se place dans le cas où une détection est disponible, ce qui permet d’aider la segmentation. Elle consiste à utiliser un modèle existant de segmentation globale, puis à exploiter la détection pour sélectionner le bon segment, à l’aide de plusieurs critères géométriques et sémantiques. La seconde approche concerne la décomposition d’une scène ou d’un objet en parties et se place dans le cas non supervisé. Elle se base alors sur la couleur des pixels, en utilisant une méthode par clustering dans un espace de couleur adapté, comme le cône HSV que nous avons utilisé. Tous ces travaux ont permis de montrer la possibilité d’utiliser la configuration spatiale pour la description de scènes réelles contenant plusieurs objets, ainsi que dans une chaîne de traitements complexe comme celle utilisée pour la ré-identification. En particulier, l’histogramme de forces a pu être utilisé pour cela, ce qui permet de profiter de ses bonnes performances, en utilisant une méthode de segmentation adaptée au cas d’usage pour traiter des images naturelles
Modeling the spatial configuration of objects in an image is a subject that is still little discussed to date, including in the most modern computer vision approaches such as convolutional neural networks ,(CNN). However, it is an essential aspect of scene perception, and integrating it into the models should benefit many tasks in the field, by helping to bridge the “semantic gap” between the digital image and the interpretation of its content. Thus, this thesis aims to improve spatial configuration modeling ,techniques, in order to exploit it in description and recognition systems. ,First, we looked at the case of the spatial configuration between two objects, by proposing an improvement of an existing descriptor. This new descriptor called “force banner” is an extension of the histogram of the same name to a whole range of forces, which makes it possible to better describe complex configurations. We were able to show its interest in the description of scenes, by learning toautomatically classify relations in natural language from pairs of segmented objects. We then tackled the problem of the transition to scenes containing several objects and proposed an approach per object by confronting each object with all the others, rather than having one descriptor per pair. Secondly, the industrial context of this thesis led us to deal with an application to the problem of re-identification of scenes or objects, a task which is similar to fine recognition from few examples. To do so, we rely on a traditional approach by describing scene components with different descriptors dedicated to specific characteristics, such as color or shape, to which we add the spatial configuration. The comparison of two scenes is then achieved by matching their components thanks to these characteristics, using the Hungarian algorithm for instance. Different combinations of characteristics can be considered for the matching and for the final score, depending on the present and desired invariances. For each one of these two topics, we had to cope with the problems of data and segmentation. We then generated and annotated a synthetic dataset, and exploited two existing datasets by segmenting them, in two different frameworks. The first approach concerns object-background segmentation and more precisely the case where a detection is available, which may help the segmentation. It consists in using an existing global segmentation model and exploiting the detection to select the right segment, by using several geometric and semantic criteria. The second approach concerns the decomposition of a scene or an object into parts and addresses the unsupervised case. It is based on the color of the pixels, by using a clustering method in an adapted color space, such as the HSV cone that we used. All these works have shown the possibility of using the spatial configuration for the description of real scenes containing several objects, as well as in a complex processing chain such as the one we used for re-identification. In particular, the force histogram could be used for this, which makes it possible to take advantage of its good performance, by using a segmentation method adapted to the use case when processing natural images

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Negri, Pablo Augusto. "Détection et reconnaissance d'objets structurés : application aux transports intelligents". Paris 6, 2008. http://www.theses.fr/2008PA066346.

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Cette thèse est dédiée à l'étude de méthodes de vision artificielle pour la détection et la reconnaissance d'objets structurés, plus précisément les véhicules automobiles. La première partie est vouée à la détection de véhicules sur des scènes routières à l'aide d'un système embarqué de vision monoculaire. La stratégie utilisée se fonde sur une cascade de classifieurs de type Adaboost qui permet la concaténation des fonctions de classification discriminantes et génératives. Nous avons proposé aussi des méthodes pour classifier les véhicules détectés. La deuxième partie est consacrée à la reconnaissance du type d'un véhicule (constructeur, modèle) à partir de sa vue de face. L'application principale visée est le contrôle d'accès dans des parkings ou péages d'autoroutes. Le système système de reconnaissance multi-classes utilise un descripteur visuel local, à base de pixels de contour orientés. La classification est obtenue à partir d'une méthode de votes, robuste aux occultations partielles.

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Deaney, Mogammat Waleed. "A Comparison of Machine Learning Techniques for Facial Expression Recognition". University of the Western Cape, 2018. http://hdl.handle.net/11394/6412.

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Magister Scientiae - MSc (Computer Science)
A machine translation system that can convert South African Sign Language (SASL) video to audio or text and vice versa would be bene cial to people who use SASL to communicate. Five fundamental parameters are associated with sign language gestures, these are: hand location; hand orientation; hand shape; hand movement and facial expressions. The aim of this research is to recognise facial expressions and to compare both feature descriptors and machine learning techniques. This research used the Design Science Research (DSR) methodology. A DSR artefact was built which consisted of two phases. The rst phase compared local binary patterns (LBP), compound local binary patterns (CLBP) and histogram of oriented gradients (HOG) using support vector machines (SVM). The second phase compared the SVM to arti cial neural networks (ANN) and random forests (RF) using the most promising feature descriptor|HOG|from the rst phase. The performance was evaluated in terms of accuracy, robustness to classes, robustness to subjects and ability to generalise on both the Binghamton University 3D facial expression (BU-3DFE) and Cohn Kanade (CK) datasets. The evaluation rst phase showed HOG to be the best feature descriptor followed by CLBP and LBP. The second showed ANN to be the best choice of machine learning technique closely followed by the SVM and RF.

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Bui, Manh-Tuan. "Vision-based multi-sensor people detection system for heavy machines". Thesis, Compiègne, 2014. http://www.theses.fr/2014COMP2156/document.

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Ce travail de thèse a été réalisé dans le cadre de la coopération entre l’Université de Technologie de Compiègne (UTC) et le Centre Technique des Industries Mécaniques (CETIM). Nous présentons un système de détection de personnes pour l’aide à la conduite dans les engins de chantier. Une partie du travail a été dédiée à l’analyse du contexte de l’application, ce qui a permis de proposer un système de perception composé d’une caméra monoculaire fisheye et d’un Lidar. L’utilisation des caméras fisheye donne l’avantage d’un champ de vision très large avec en contrepartie, la nécessité de gérer les fortes distorsions dans l’étape de détection. A notre connaissance, il n’y a pas eu de recherches dédiées au problème de la détection de personnes dans les images fisheye. Pour cette raison, nous nous sommes concentrés sur l’étude et la quantification de l’impact des distorsions radiales sur l’apparence des personnes dans les images et nous avons proposé des approches adaptatives pour gérer ces spécificités. Nos propositions se sont inspirées de deux approches de l’état de l’art pour la détection des personnes : les histogrammes de gradient orientés (HOG) et le modèle des parties déformables (DPM). Tout d’abord, en enrichissant la base d’apprentissage avec des imagettes fisheye artificielles, nous avons pu montrer que les classificateurs peuvent prendre en compte les distorsions dans la phase d’apprentissage. Cependant, adapter les échantillons d’entrée, n’est pas la solution optimale pour traiter le problème de déformation de l’apparence des personnes dans les images. Nous avons alors décidé d’adapter l’approche de DPM pour prendre explicitement en compte le modèle de distorsions. Il est apparu que les modèles déformables peuvent être modifiés pour s’adapter aux fortes distorsions des images fisheye, mais ceci avec un coût de calculatoire supérieur. Dans cette thèse, nous présentons également une approche de fusion Lidar/camera fisheye. Une architecture de fusion séquentielle est utilisée et permet de réduire les fausses détections et le coût calculatoire de manière importante. Un jeu de données en environnement de chantier a été construit et différentes expériences ont été réalisées pour évaluer les performances du système. Les résultats sont prometteurs, à la fois en terme de vitesse de traitement et de performance de détection
This thesis has been carried out in the framework of the cooperation between the Compiègne University of Technology (UTC) and the Technical Centre for Mechanical Industries (CETIM). In this work, we present a vision-based multi-sensors people detection system for safety on heavy machines. A perception system composed of a monocular fisheye camera and a Lidar is proposed. The use of fisheye cameras provides an advantage of a wide field-of-view but yields the problem of handling the strong distortions in the detection stage.To the best of our knowledge, no research works have been dedicated to people detection in fisheye images. For that reason, we focus on investigating and quantifying the strong radial distortions impacts on people appearance and proposing adaptive approaches to handle that specificity. Our propositions are inspired by the two state-of-the-art people detection approaches : the Histogram of Oriented Gradient (HOG) and the Deformable Parts Model (DPM). First, by enriching the training data set, we prove that the classifier can take into account the distortions. However, fitting the training samples to the model, is not the best solution to handle the deformation of people appearance. We then decided to adapt the DPM approach to handle properly the problem. It turned out that the deformable models can be modified to be even better adapted to the strong distortions of the fisheye images. Still, such approach has adrawback of the high computation cost and complexity. In this thesis, we also present a framework that allows the fusion of the Lidar modality to enhance the vision-based people detection algorithm. A sequential Lidar-based fusion architecture is used, which addresses directly the problem of reducing the false detections and computation cost in vision-based-only system. A heavy machine dataset have been also built and different experiments have been carried out to evaluate the performances of the system. The results are promising, both in term of processing speed and performances

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Martínez-García, Marina. "Statistical analysis of neural correlates in decision-making". Doctoral thesis, Universitat Pompeu Fabra, 2014. http://hdl.handle.net/10803/283111.

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We investigated the neuronal processes which occur during a decision- making task based on a perceptual classi cation judgment. For this purpose we have analysed three di erent experimental paradigms (somatosensory, visual, and auditory) in two di erent species (monkey and rat), with the common goal of shedding light into the information carried by neurons. In particular, we focused on how the information content is preserved in the underlying neuronal activity over time. Furthermore we considered how the decision, the stimuli, and the con dence are encoded in memory and, when the experimental paradigm allowed it, how the attention modulates these features. Finally, we went one step further, and we investigated the interactions between brain areas that arise during the process of decision- making.
Durant aquesta tesi hem investigat els processos neuronals que es pro- dueixen durant tasques de presa de decisions, tasques basades en un ju- dici l ogic de classi caci o perceptual. Per a aquest prop osit hem analitzat tres paradigmes experimentals diferents (somatosensorial, visual i auditiu) en dues espcies diferents (micos i rates), amb l'objectiu d'il.lustrar com les neurones codi quen informaci on referents a les t asques. En particular, ens hem centrat en com certes informacions estan cod- i cades en l'activitat neuronal al llarg del temps. Concretament, com la informaci o sobre: la decisi o comportamental, els factors externs, i la con- ana en la resposta, b e codi cada en la mem oria. A m es a m es, quan el paradigma experimental ens ho va permetre, com l'atenci o modula aquests aspectes. Finalment, hem anat un pas m es enll a, i hem analitzat la comu- nicaci o entre les diferents arees corticals, mentre els subjectes resolien una tasca de presa de decisions.

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Nien, Chi-chiao, e 粘智超. "Using Force Histogram in Retrieving Fuzzy Spatial Relationship". Thesis, 2005. http://ndltd.ncl.edu.tw/handle/00509881555053676889.

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碩士
淡江大學
資訊管理學系碩士班
93
With the popularity of digital image generation and processing tools, huge miscellaneous rich image data have been produced. How to effectively retrieve images from the huge image databases has become an important subject. In the early stage, image retrieval was achieved by matching keywords with image description text. However, the manual input of image description is not only too subjective, but also spends a lot of time, money and manpower. Thus, several researchers proposed successively retrieval methods based on the image content, such as color, texture, shapes of objects, spatial relationships of objects, etc. To obtain a better matching of spatial relationships, we propose several fuzzy spatial relationship characteristic values based on the force histograms among the objects in the images. These values are further used to compute the similarity of two images. This method, compared with direct histogram matching, has the following advantages: (1) It has better computational efficiency; (2) It could precompute the characteristic values of the spatial relationships and and store them in the database, which tremendously saves time in retrieving similar images; (3) These characteristic values are associated with more human-reasonable semantic meanings. Lastly, we demonstrate the use of fuzzy directional, surrounding and distance spatial relationships in image retrieval. The results illustrate that these fuzzy spatial relationships can extract the difference of the spatial relationship among the images more completely. We hope this system could be applied to semantic retrieval of the images in the future.

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Capítulos de livros sobre o assunto "Histogramme de forces"

Santosh, K. C., e Laurent Wendling. "Automated Chest X-ray Image View Classification using Force Histogram". In Communications in Computer and Information Science, 333–42. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-4859-3_30.

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Matsakis, Pascal. "Understanding the Spatial Organization of Image Regions by Means of Force Histograms: A Guided Tour". In Applying Soft Computing in Defining Spatial Relations, 99–122. Heidelberg: Physica-Verlag HD, 2002. http://dx.doi.org/10.1007/978-3-7908-1752-2_5.

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Debled-Rennesson, Isabelle, e Laurent Wendling. "Extraction of Successive Patterns in Document Images by a New Concept Based on Force Histogram and Thick Discrete Lines". In Image Analysis and Processing — ICIAP 2015, 387–97. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-23231-7_35.

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Verma, Jyoti, Isha Kansal, Renu Popli, Vikas Khullar, Daljeet Singh, Manish Snehi e Rajeev Kumar. "A Hybrid Images Deep Trained Feature Extraction and Ensemble Learning Models for Classification of Multi Disease in Fundus Images". In Communications in Computer and Information Science, 203–21. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-59091-7_14.

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AbstractRetinal disorders, including diabetic retinopathy and macular degeneration due to aging, can lead to preventable blindness in diabetics. Vision loss caused by diseases that affect the retinal fundus cannot be reversed if not diagnosed and treated on time. This paper employs deep-learned feature extraction with ensemble learning models to improve the multi-disease classification of fundus images. This research presents a novel approach to the multi-classification of fundus images, utilizing deep-learned feature extraction techniques and ensemble learning to diagnose retinal disorders and diagnosing eye illnesses involving feature extraction, classification, and preprocessing of fundus images. The study involves analysis of deep learning and implementation of image processing. The ensemble learning classifiers have used retinal photos to increase the classification accuracy. The results demonstrate improved accuracy in diagnosing retinal disorders using DL feature extraction and ensemble learning models. The study achieved an overall accuracy of 87.2%, which is a significant improvement over the previous study. The deep learning models utilized in the study, including NASNetMobile, InceptionResNetV4, VGG16, and Xception, were effective in extracting relevant features from the Fundus images. The average F1-score for Extra Tree was 99%, while for Histogram Gradient Boosting and Random Forest, it was 98.8% and 98.4%, respectively. The results show that all three algorithms are suitable for the classification task. The combination of DenseNet feature extraction technique and RF, ET, and HG classifiers outperforms other techniques and classifiers. This indicates that using DenseNet for feature extraction can effectively enhance the performance of classifiers in the task of image classification.

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Huo, Jing, Matthew S. Brown e Kazunori Okada. "CADrx for GBM Brain Tumors". In Machine Learning in Computer-Aided Diagnosis, 297–314. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-4666-0059-1.ch014.

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The goal of this chapter is to describe a Computer-Aided Therapeutic Response Assessment (CADrx) system for early prediction of drug treatment response for Glioblastoma Multiforme (GBM) brain tumors with Diffusion Weighted (DW) MR images. In conventional Macdonald assessment, tumor response is assessed nine weeks or more post-treatment. However, this chapter will investigate the ability of DW-MRI to assess response earlier, at five weeks post treatment. The Apparent Diffusion Coefficient (ADC) map, calculated from DW images, has been shown to reveal changes in the tumor’s microenvironment preceding morphologic tumor changes. ADC values in treated brain tumors could theoretically both increase due to the cell kill (and thus reduce cell density) and decrease due to inhibition of edema. In this chapter, the authors investigate the effectiveness of features that quantify changes from pre- and post-treatment tumor ADC histograms to detect treatment response. There are three parts in this technique: First, tumor regions were segmented on T1w contrast enhanced images by Otsu’s thresholding method and mapped from T1w images onto ADC images by a 3D Region of Interest (ROI) mapping tool. Second, ADC histograms of the tumor region were extracted from both pre- and five weeks post-treatment scans and fitted by a two-component Gaussian Mixture Models (GMM). The GMM features as well as standard histogram-based features were extracted. Finally, supervised machine learning techniques were applied for classification of responders or non-responders. The approach was evaluated with a dataset of 85 patients with GBM under chemotherapy, in which 39 responded and 46 did not, based on tumor volume reduction. The authors compared adaBoost, random forest, and support vector machine classification algorithms, using ten-fold cross validation, resulting in the best accuracy of 69.41% and the corresponding area under the curve (Az) of 0.70.

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"Force Histograms and Radial Density for Invariant Image Retrieval". In International Conference on Advanced Computer Theory and Engineering (ICACTE 2009), 95–102. ASME Press, 2009. http://dx.doi.org/10.1115/1.802977.paper11.

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Zaibi, Ghada, Fabrice Peyrard, Abdennaceur Kachouri, Danièle Fournier-Prunaret e Mounir Samet. "A New Encryption Algorithm based on Chaotic Map for Wireless Sensor Network". In Architectures and Protocols for Secure Information Technology Infrastructures, 103–23. IGI Global, 2014. http://dx.doi.org/10.4018/978-1-4666-4514-1.ch004.

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A new and secure chaos-based block cipher for image encryption in wireless sensor networks is proposed. The security analysis and the performances of the proposed algorithm have been investigated. The statistical analysis includes the histograms and correlation coefficients of adjacent pixels. In the differential analysis, the authors use the Number of Pixels Change Rate (NPCR) and the Unified Changing Average (UACI) measures to demonstrate the security against differential attacks. Key sensitivity analysis and key space analysis show that the proposed cipher is secure and resistant to brute force attack. The authors demonstrate that the performance of the cipher exceeds the studied encryption algorithms as well as AES (Advanced Encryption Standard). An implementation on a real wireless sensor network testbed is realized, and the energy consumption is investigated.

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Goldman, N., e R. J. Saykally. "Elucidating the role of many-body forces in liquid water. I. Simulations of water clusters on the VRT(ASP-W) potential surfaces". In Quantum Monte Carlo, 148. Oxford University PressNew York, NY, 2007. http://dx.doi.org/10.1093/oso/9780195310108.003.00152.

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Abstract In the quest for a quantitative simulation of liquid water it appears the potential energy of the interaction of water molecules converges very rapidly and may be described adequately by only two- and three-body terms. Measurements of vibration-rotation tunneling (VRT) splittings for water dimers have provided data for fitting an anisotropic site potential with Woermer dispersion (ASPW) to provide a series of highly detailed potential energy surfaces. The expressions for these surfaces include terms corresponding to electrostatic interaction, two-body exchange repulsion, two-body dispersion, and many-body induction. In this paper the authors report an investigation of the suitability of these surfaces and several others for predicting the vibrational ground-state properties of water clusters ranging from the trimer to the hexamer. The calculations were carried out with diffusion Q:tvIC to determine cluster properties, the structures and, in particular, the vibrational average rotational constants for direct comparison with experimentally measured values. The ground-state properties were determined in runs for 1000 walkers with 15,000-20,000 time steps after equilibration. Histograms of configurations were used for calculating the internal tensors leading to the rotational constants.

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Lortie, Christopher J., Joseph Lau e Marc J. Lajeunesse. "Graphical Presentation of Results". In Handbook of Meta-analysis in Ecology and Evolution. Princeton University Press, 2013. http://dx.doi.org/10.23943/princeton/9780691137285.003.0021.

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Visualizations of data are one of the most compelling means to effectively communicate ideas in science. Graphs present data in a visual form enabling the reader to read values, identify patterns, assess the outcome of a statistical technique, or analyze relationships within or between variables. Effective visualizations of meta-analyses have been discussed extensively in the evidence-based medical literature and to a lesser extent in ecology and evolutionary biology. The two most common meta-analysis plots are derived from the social sciences and include (1) modified error bar plots called forest plots used to summarize and compare weighted mean effects, and (2) meta-regression plots (scatterplots with significant fit lines) used to show the relationship between main effects and covariates. This chapter describes these two standard meta-analysis plots and provides sample graphics to illustrate usage. Details are also included for the use of simple histograms and funnel plots.

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Gong, Xiaoliang, Ruiyi Yuan, Hui Qian, Yufei Chen e Anthony G. Cohn. "Emotion Regulation Music Recommendation Based on Feature Selection". In Frontiers in Artificial Intelligence and Applications. IOS Press, 2021. http://dx.doi.org/10.3233/faia210047.

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Chinese traditional music has been proved to be effective in emotion regulation for thousands of years. Five different groups of Chinese traditional music which have been proved can regulate different emotions (Angry, Depressed, Feverish, Desperate, Sorrowful) in the literature. 54 audios features are extracted by using the Librosa library for each music group. Five features are manually selected using histogram analysis which show significant difference between the five groups of music. Combined with KNN, SVM and Deep forest classification algorithms, the five manually selected audio features are shown to have better classification performance than traditional feature selection algorithms, like PCA and LDA. We hypothesize that these five significant audio features may be the underlying basis why so such music can effectively perform emotion regulation. Based on this classification models, prototype emotion regulation music recommendation interface (TJ-ERMR) was built that can be used for music therapy. In the future, we will use this classification model to find more music to expand the initial repertoire of our music recommendation system.

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Trabalhos de conferências sobre o assunto "Histogramme de forces"

Kim, K. L., e J. E. Huber. "Observation of the Poling Process in Ferroelectric Ceramics Using Piezoresponse Force Microscopy". In ASME 2012 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/smasis2012-8037.

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Evolution of the domain structure in bulk polycrystalline PZT during poling was studied using Piezoresponse Force Microscopy (PFM). For the study, two different experimental methods were employed. First, a trapezoidal PZT specimen was subjected to electric field so as to produce a wide variation of electric field intensity in the specimen. PFM images were then acquired from several different areas that have experienced different field strengths. Histograms of pixel intensity show a distinct difference in the pattern of piezoresponse signal between poled and unpoled areas. The presence of non-180° domain structure in the scanned area significantly affects the histogram pattern. At high levels of electric field the presence of mainly 180° domain structures leads to a bi-modal M-shaped histogram. To illustrate the evolution of the non-180° domain structure, in-plane poling was conducted with the electric field level increased in steps, and the domain evolution process was observed by PFM after each step. The resulting images demonstrate that non-180° domain structures gradually disappear from the specimen surface during the poling process. The PFM data can be exploited to study domain evolution in bulk ferroelectric materials via both qualitative observation and statistical analysis.

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Jazouli, M., J. Wadsworth e P. Matsakis. "Normalization of the Histogram of Forces". In 8th International Conference on Pattern Recognition Applications and Methods. SCITEPRESS - Science and Technology Publications, 2019. http://dx.doi.org/10.5220/0007397406300639.

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Jingbo Ni e Pascal Matsakis. "Force histograms computed in O(NlogN)". In 2008 19th International Conference on Pattern Recognition (ICPR). IEEE, 2008. http://dx.doi.org/10.1109/icpr.2008.4761010.

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Tateishi, Atsushi, Toshinori Watanabe, Takehiro Himeno, Mizuho Aotsuka e Takeshi Murooka. "Statistical Sensitivity Study of Frequency Mistuning on the Prediction of the Flutter Boundary in a Transonic Fan". In ASME Turbo Expo 2016: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/gt2016-57295.

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This paper aims at quantifying the stabilization effect of mistuning in transonic fan flutter. The results are used to support the evaluation of flutter boundary and to clarify the reason for the mismatch observed in the numerical predictions reported in our previous study. Mistuning is modeled by the deviation of blade-mode frequency, and the stability analysis of vibrating blades is formulated as an eigenproblem of the equation of motion including self-excited aerodynamic force obtained by fluid-structure interaction simulations. Statistics about the modal properties are obtained by Monte Carlo simulation. The change in the averaged damping rate and flutter boundary is evaluated in a wide range of mistuning levels and operating conditions. Nominal levels of mistuning due to manufacturing tolerance have little effect to the flutter boundary because the decline in aerodynamic damping is very steep. Therefore, the accuracy associated with the computational fluid dynamics is likely to have caused the mismatch in the flutter boundary. Histograms of modal properties show that the inter-blade phase angle and blade amplitudes in flutter mode can be highly scattered, even if the level of mistuning is nominal. For largely mistuned cases, new crests which do not exist in nominal cases appear in the eigenvalue histogram. They were found to be highly-localized, single-blade dominant mode.

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Kimpan, Somchok, Noppadol Maneerat e Chom Kimpan. "Diabetic retinopathy image analysis using radial inverse force histograms". In 2017 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS). IEEE, 2017. http://dx.doi.org/10.1109/iciibms.2017.8279708.

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Wilkinson, Timothy S., e Joseph W. Goodman. "Slope histogram detection of forged handwritten signatures". In Fibers '91, Boston, MA, editado por Michael J. W. Chen. SPIE, 1991. http://dx.doi.org/10.1117/12.25331.

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Putina, Andrian, Mauro Sozio, Dario Rossi e Jose Manuel Navarro. "Random Histogram Forest for Unsupervised Anomaly Detection". In 2020 IEEE International Conference on Data Mining (ICDM). IEEE, 2020. http://dx.doi.org/10.1109/icdm50108.2020.00154.

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"A GENERAL ALGORITHM FOR CALCULATING FORCE HISTOGRAMS USING VECTOR DATA". In International Conference on Pattern Recognition Applications and Methods. SciTePress - Science and and Technology Publications, 2012. http://dx.doi.org/10.5220/0003781600860092.

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Buck, Andrew R., James M. Keller e Marjorie Skubic. "A modified genetic algorithm for matching building sets with the histograms of forces". In 2010 IEEE Congress on Evolutionary Computation (CEC). IEEE, 2010. http://dx.doi.org/10.1109/cec.2010.5585935.

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Debled-Rennesson, Isabelle, e Laurent Wendling. "Combining Force Histogram and Discrete Lines to Extract Dashed Lines". In 2010 20th International Conference on Pattern Recognition (ICPR). IEEE, 2010. http://dx.doi.org/10.1109/icpr.2010.389.

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