Relevant bibliographies by topics / Descriptor transformation

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

Academic literature on the topic 'Descriptor transformation'

Author: Grafiati
Published: 30 May 2022
Last updated: 31 May 2022

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Journal articles on the topic "Descriptor transformation"

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CHENG, D., S. Q. XIE, and E. HÄMMERLE. "LOCAL DESCRIPTORS BASED ON COLOR IMAGES." International Journal of Information Acquisition 06, no. 04 (December 2009): 281–301. http://dx.doi.org/10.1142/s0219878909002004.

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This paper investigates local descriptor methods utilizing color images instead of grayscale images to improve the uniqueness of the local descriptors. A color model was utilized in order to be invariant to illumination condition changes. Two local descriptor methods, namely color local descriptor and hybrid local descriptor methods, were developed. Results from the experiments conducted show that these methods are more robust against a variety of image transformation and illumination condition changes compared to existing methods.
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Liu, Cuiyin, Jishang Xu, and Feng Wang. "A Review of Keypoints’ Detection and Feature Description in Image Registration." Scientific Programming 2021 (December 1, 2021): 1–25. http://dx.doi.org/10.1155/2021/8509164.

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For image registration, feature detection and description are critical steps that identify the keypoints and describe them for the subsequent matching to estimate the geometric transformation parameters between two images. Recently, there has been a large increase in the research methods of detection operators and description operators, from traditional methods to deep learning methods. To solve the problem, that is, which operator is suitable for specific application problems under different imaging conditions, the paper systematically reviewed commonly used descriptors and detectors from artificial methods to deep learning methods, and the corresponding principle, analysis, and comparative experiments are given as well. We introduce the handcrafted detectors including FAST, BRISK, ORB, SURF, SIFT, and KAZE and the handcrafted descriptors including BRISK, FREAK, BRIEF, SURF, ORB, SIFT, KAZE. At the same time, we review detectors based on deep learning technology including DetNet, TILDE, LIFT, multiscale detector, SuperPoint, and descriptors based on deep learning including pretrained descriptor, Siamese descriptor, LIFT, triplet network, and SuperPoint. Two group of comparison experiments are compared comprehensively and objectively on representative datasets. Finally, we concluded with insightful discussions and conclusions of descriptor and detector selection for specific application problem and hope this survey can be a reference for researchers and engineers in image registration and related fields.
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ELHADY, GAMAL F. "3D STRUCTURE FROM MOTION WITH FOURIER DESCRIPTOR TRANSFORMATION." International Journal of Pattern Recognition and Artificial Intelligence 27, no. 05 (August 2013): 1355006. http://dx.doi.org/10.1142/s0218001413550069.

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The simultaneous recovery of three-dimensional (3D) structure from motion (SfM) for the sequences of images, is one of the more difficult problems in computer vision. Classical approaches to the problem rely on using algebraic techniques to solve for these unknowns given two or more image. Motion analysis and 3D shape estimation based on the estimated motion is an important problem in computer vision. The correspondence problem is an important tool in SfM where in this paper a general 3D motion based on a simple rotation, tilt, roll and translation is proposed, and then is used for 3D shape estimation. The current work expands the 2D motion estimation (shift, rotation) to accommodate general 3D motion (shift, rotation, tilt and roll). The proposed work in this paper of motion estimation of moving object is based on Fourier Descriptor Transformation (FDT) analysis before and after motion. The FDT is also used to resolve the correspondence problem in a sequence of images. We test our method on several large-scale photo collections, show the efficacy of the introduced approach to improve reconstruction accuracy.
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Wang, Xu Guang, and Jie Su. "A Novel Descriptor for Line (Curve) Matching." Applied Mechanics and Materials 48-49 (February 2011): 92–97. http://dx.doi.org/10.4028/www.scientific.net/amm.48-49.92.

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This paper defines a new image feature called Harris feature vector, which is able to describe the image gradient distribution in an effective way. By computing the mean and the standard deviation of the Harris feature vector in a local image region, novel descriptors are constructed for line (curve) matching which are invariable to image rigid transformation and linear intensity change. Experimental evidence suggests that the novel descriptor for line (curve) matching performs well.
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Xu, Zheng Guang, Chen Chen, and Xu Hong Liu. "An Efficient View-Point Invariant Detector and Descriptor." Advanced Materials Research 659 (January 2013): 143–48. http://dx.doi.org/10.4028/www.scientific.net/amr.659.143.

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Many computer vision applications need keypoint correspondence between images under different view conditions. Generally speaking, traditional algorithms target applications with either good performance in invariance to affine transformation or speed of computation. Nowadays, the widely usage of computer vision algorithms on handle devices such as mobile phones and embedded devices with low memory and computation capability has proposed a target of making descriptors faster to computer and more compact while remaining robust to affine transformation and noise. To best address the whole process, this paper covers keypoint detection, description and matching. Binary descriptors are computed by comparing the intensities of two sampling points in image patches and they are matched by Hamming distance using an SSE 4.2 optimized popcount. In experiment results, we will show that our algorithm is fast to compute with lower memory usage and invariant to view-point change, blur change, brightness change, and JPEG compression.
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Hamdini, Rabah, Nacira Diffellah, and Abderrahmane Namane. "Color Based Object Categorization Using Histograms of Oriented Hue and Saturation." Traitement du Signal 38, no. 5 (October 31, 2021): 1293–307. http://dx.doi.org/10.18280/ts.380504.

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In the last few years, there has been a lot of interest in making smart components, e.g. robots, able to simulate human capacity of object recognition and categorization. In this paper, we propose a new revolutionary approach for object categorization based on combining the HOG (Histograms of Oriented Gradients) descriptors with our two new descriptors, HOH (Histograms of Oriented Hue) and HOS (Histograms of Oriented Saturation), designed it in the HSL (Hue, Saturation and Luminance) color space and inspired by this famous HOG descriptor. By using the chrominance components, we have succeeded in making the proposed descriptor invariant to all lighting conditions changes. Moreover, the use of this oriented gradient makes our descriptor invariant to geometric condition changes including geometric and photometric transformation. Finally, the combination of color and gradient information increase the recognition rate of this descriptor and give it an exceptional performance compared to existing methods in the recognition of colored handmade objects with uniform background (98.92% for Columbia Object Image Library and 99.16% for the Amsterdam Library of Object Images). For the classification task, we propose the use of two strong and very used classifiers, SVM (Support Vector Machine) and KNN (k-nearest neighbors) classifiers.
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Veinidis, Christos, Antonios Danelakis, Ioannis Pratikakis, and Theoharis Theoharis. "Effective Descriptors for Human Action Retrieval from 3D Mesh Sequences." International Journal of Image and Graphics 19, no. 03 (July 2019): 1950018. http://dx.doi.org/10.1142/s0219467819500189.

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Two novel methods for fully unsupervised human action retrieval using 3D mesh sequences are presented. The first achieves high accuracy but is suitable for sequences consisting of clean meshes, such as artificial sequences or highly post-processed real sequences, while the second one is robust and suitable for noisy meshes, such as those that often result from unprocessed scanning or 3D surface reconstruction errors. The first method uses a spatio-temporal descriptor based on the trajectories of 6 salient points of the human body (i.e. the centroid, the top of the head and the ends of the two upper and two lower limbs) from which a set of kinematic features are extracted. The resulting features are transformed using the wavelet transformation in different scales and a set of statistics are used to obtain the descriptor. An important characteristic of this descriptor is that its length is constant independent of the number of frames in the sequence. The second descriptor consists of two complementary sub-descriptors, one based on the trajectory of the centroid of the human body across frames and the other based on the Hybrid static shape descriptor adapted for mesh sequences. The robustness of the second descriptor derives from the robustness involved in extracting the centroid and the Hybrid sub-descriptors. Performance figures on publicly available real and artificial datasets demonstrate our accuracy and robustness claims and in most cases the results outperform the state-of-the-art.
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Yan, Shen Hai, Xian Tong Huang, and Yang Liu. "A Novel Texture Spectrum Descriptor." Applied Mechanics and Materials 397-400 (September 2013): 1494–99. http://dx.doi.org/10.4028/www.scientific.net/amm.397-400.1494.

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A concept of equivalence classes of texture pattern is put forward according to the visual consistency between the rotation texture and the flip texture. An improved texture spectrum descriptor (iTS) is proposed based on the equivalence classes. The iTS depicts the grayscale variation pattern of the pixels in the image neighbour domain and denotes the texture content of an image with a histogram of texture spectrum. Compared with the basic texture spectrum descriptor (TS), local binary pattern (LBP) and Shis local binary pattern (sLBP), iTS has best precision in the image retrieval experiments. The iTS has stronger ability to describle the texture and more adapt to the image rotation transformation.
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Martey, Ezekiel Mensah, Hang Lei, Xiaoyu Li, and Obed Appiah. "Image Representation Using Stacked Colour Histogram." Algorithms 14, no. 8 (July 30, 2021): 228. http://dx.doi.org/10.3390/a14080228.

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Image representation plays a vital role in the realisation of Content-Based Image Retrieval (CBIR) system. The representation is performed because pixel-by-pixel matching for image retrieval is impracticable as a result of the rigid nature of such an approach. In CBIR therefore, colour, shape and texture and other visual features are used to represent images for effective retrieval task. Among these visual features, the colour and texture are pretty remarkable in defining the content of the image. However, combining these features does not necessarily guarantee better retrieval accuracy due to image transformations such rotation, scaling, and translation that an image would have gone through. More so, concerns about feature vector representation taking ample memory space affect the running time of the retrieval task. To address these problems, we propose a new colour scheme called Stack Colour Histogram (SCH) which inherently extracts colour and neighbourhood information into a descriptor for indexing images. SCH performs recurrent mean filtering of the image to be indexed. The recurrent blurring in this proposed method works by repeatedly filtering (transforming) the image. The output of a transformation serves as the input for the next transformation, and in each case a histogram is generated. The histograms are summed up bin-by-bin and the resulted vector used to index the image. The image blurring process uses pixel’s neighbourhood information, making the proposed SCH exhibit the inherent textural information of the image that has been indexed. The SCH was extensively tested on the Coil100, Outext, Batik and Corel10K datasets. The Coil100, Outext, and Batik datasets are generally used to assess image texture descriptors, while Corel10K is used for heterogeneous descriptors. The experimental results show that our proposed descriptor significantly improves retrieval and classification rate when compared with (CMTH, MTH, TCM, CTM and NRFUCTM) which are the start-of-the-art descriptors for images with textural features.
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Wei, Xiu-Shen, Chen-Lin Zhang, Jianxin Wu, Chunhua Shen, and Zhi-Hua Zhou. "Unsupervised object discovery and co-localization by deep descriptor transformation." Pattern Recognition 88 (April 2019): 113–26. http://dx.doi.org/10.1016/j.patcog.2018.10.022.

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Dissertations / Theses on the topic "Descriptor transformation"

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Bell, Simon J. G. "Numerical techniques for smooth transformation and regularisation of time-varying linear descriptor systems." Thesis, University of Reading, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.284311.

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Bohi, Amine. "Descripteurs de Fourier inspirés de la structure du cortex visuel primaire humain : Application à la reconnaissance de navires dans le cadre de la surveillance maritime." Thesis, Toulon, 2017. http://www.theses.fr/2017TOUL0002/document.

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Dans cette thèse, nous développons une approche supervisée de reconnaissance d’objets basée sur l’utilisation de nouveaux descripteurs d’images globaux inspirés du modèle du cortex visuel humain primaire V1 en tant que groupe de roto-translations semi-discrètes SE (2,N)=R² x ZN produit semi-direct entre R² et ZN. La méthode proposée est basée sur des descripteurs de Fourier généralisés et rotationnels définis sur le groupe SE (2,N), qui sont invariants aux transformations géométriques (translations, et rotations). De plus, nous montrons que ces descripteur de Fourier sont faiblement complets, dans le sens qu’ils permettent de discriminer sur un ensemble ouvert et dense L² (SE(2,N)) de fonctions à support compact, donc distinguer entre des images réelles. Ces descripteurs sont ensuite utilisés pour alimenter un classifieur de type SVM dans le cadre de la reconnaissance d’objets. Nous avons mené une séries d’expérimentations dans le but d’évaluer notre méthode sur les bases de visages RL, CVL et ORL et sur la base d’images d’objets variés COIL-100, et de comparer ses performances à celles des méthodes basées sur des descripteurs globaux et locaux. Les résultats obtenus ont montré que notre approche est en mesure de concurrencer de nombreuses techniques de reconnaissance d’objets existantes et de surpasser de nombreuse autres. Ces résultats ont également montré que notre méthode est robuste aux bruits. Enfin, nous avons employé la technique proposée pour reconnaître des navires dans un contexte de surveillance maritime
In this thesis, we develop a supervised object recognition method using new global image descriptors inspired by the model of the human primary visual cortex V1. Mathematically speaking, the latter is modeled as the semi-discrete roto-translation group SE (2,N)=R² x ZN semi-direct product between R² and ZN. Therefore, our technique is based on generalized and rotational Fourier descriptors defined in SE (2,N) , and which are invariant to natural geometric transformations (translations, and rotations). Furthermore, we show that such Fourier descriptors are weakly complete, in the sense that they allow to distinguish over an open and dense set of compactly supported functions in L² (SE(2,N)) , hence between real-world images. These descriptors are later used in order to feed a Support Vector Machine (SVM) classifier for object recognition purposes. We have conducted a series of experiments aiming both at evaluating and comparing the performances of our method against existing both local - and global - descriptor based state of the art techniques, using the RL, the CVL, and the ORL face databases, and the COIL-100 image database (containing various types of objects). The obtained results have demonstrated that our approach was able to compete with many existing state of the art object recognition techniques, and to outperform many others. These results have also shown that our method is robust to noise. Finally, we have applied the proposed method on vessels recognition in the framework of maritime surveillance
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Chu, D., and V. Mehrmann. "Minimum Norm Regularization of Descriptor Systems by Output Feedback." Universitätsbibliothek Chemnitz, 1998. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-199801177.

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We study the regularization problem for linear, constant coefficient descriptor systems $E x^. = AX + Bu, y_1 = Cx, y_2=\Gamma x^.$ by proportional and derivative mixed output feedback. Necessary and sufficient conditions are given, which guarantee that there exist output feedbacks such that the closed-loop system is regular, has index at most one and $E +BG\Gamma$ has a desired rank, i.e. there is a desired number of differential and algebraic equations. To resolve the freedom in the choice of the feedback matrices we then discuss how to obtain the desired regularizing feedback of minimum norm and show that this approach leads to useful results in the sense of robustness only if the rank of E is decreased. Numerical procedures are derived to construct the desired feedbacks gains. These numerical procedures are based on orthogonal matrix transformations which can be implemented in a numerically stable way.
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Coleman, Graham Keith. "Descriptor control of sound transformations and mosaicing synthesis." Doctoral thesis, Universitat Pompeu Fabra, 2016. http://hdl.handle.net/10803/392138.

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Sampling, as a musical or synthesis technique, is a way to reuse recorded musical expressions. In this dissertation, several ways to expand sampling synthesis are explored, especially mosaicing synthesis, which imitates target signals by transforming and compositing source sounds, in the manner of a mosaic made of broken tile. One branch of extension consists of the automatic control of sound transformations towards targets defined in a perceptual space. The approach chosen uses models that predict how the input sound will be transformed as a function of the selected parameters. In one setting, the models are known, and numerical search can be used to find sufficient parameters; in the other, they are unknown and must be learned from data. Another branch focuses on the sampling itself. By mixing multiple sounds at once, perhaps it is possible to make better imitations, e.g. in terms of the harmony of the target. However, using mixtures leads to new computational problems, especially if properties like continuity, important to high quality sampling synthesis, are to be preserved. A new mosaicing synthesizer is presented which incorporates all of these elements: supporting automatic control of sound transformations using models, mixtures supported by perceptually relevant harmony and timbre descriptors, and preservation of continuity of the sampling context and transformation parameters. Using listening tests, the proposed hybrid algorithm was compared against classic and contemporary algorithms, and the hybrid algorithm performed well on a variety of quality measures.
El mostreig, com a tècnica musical o de síntesi, és una manera de reutilitzar expressions musicals enregistrades. En aquesta dissertació s’exploren estratègies d’ampliar la síntesi de mostreig, sobretot la síntesi de “mosaicing”. Aquesta última tracta d’imitar un senyal objectiu a partir d’un conjunt de senyals font, transformant i ordenant aquests senyals en el temps, de la mateixa manera que es faria un mosaic amb rajoles trencades. Una d’aquestes ampliacions de síntesi consisteix en el control automàtic de transformacions de so cap a objectius definits a l’espai perceptiu. L’estratègia elegida utilitza models que prediuen com es transformarà el so d’entrada en funció d’uns paràmetres seleccionats. En un cas, els models són coneguts, i cerques númeriques es poden fer servir per trobar paràmetres suficients; en l’altre, els models són desconeguts i s’han d’aprendre a partir de les dades. Una altra ampliació es centra en el mostreig en si. Mesclant múltiples sons a la vegada, potser és possible fer millors imitacions, més específicament millorar l’harmonia del resultat, entre d’altres. Tot i així, utilitzar múltiples mescles crea nous problemes computacionals, especialment si propietats com la continuïtat, important per a la síntesis de mostreig d’alta qualitat, han de ser preservades. En aquesta tesi es presenta un nou sintetitzador mosaicing que incorpora tots aquests elements: control automàtic de transformacions de so fent servir models, mescles a partir de descriptors d’harmonia i timbre perceptuals, i preservació de la continuïtat del context de mostreig i dels paràmetres de transformació. Fent servir proves d’escolta, l’algorisme híbrid proposat va ser comparat amb algorismes clàssics i contemporanis: l’algorisme híbrid va donar resultats positius a una varietat de mesures de qualitat.
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Parrein, Benoît. "Description multiple de l'information par transformation Mojette." Phd thesis, Université de Nantes, 2001. http://tel.archives-ouvertes.fr/tel-00300613.

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La représentation scalable de l'information s'impose aujourd'hui pour supporter l'hétérogénéité d'un réseau interconnecté tel que l'Internet. Le codage de source adopte, pour ce faire, une approche multi-résolution pouvant délivrer progressivement à un utilisateur le contenu de sa requête. Cependant, en supposant au cours de la transmission une gestion de bout en bout des priorités ainsi établies, ces schémas restent sommairement adaptés aux environnements de pertes de paquets et de qualité de service non garantie.
Les codages à description multiple offrent une alternative à la transmission hiérarchisée de l'information en brisant la scalabilité de la source aux abords du canal. Dans cette thèse, nous proposons une méthode originale de description multiple qui réalise une protection différenciée de chaque niveau hiérarchique de la source en fonction des propriétés dynamiques du canal de transmission.
La transformation Mojette (transformation de Radon discrète exacte) est une transformation unitaire qui permet de partager un volume de données en un ensemble plus ou moins redondant de projections équivalentes. L'évolution de ce type d'opérateur initialement utilisé dans un espace continu pour la reconstruction tomographique étend le concept de support d'image à celui de mémoire tampon géométrique pour données multimédias. Ce codage à description multiple, généralisé à N canaux, autorise la reconstruction de la mémoire initiale de manière déterministe par des sous-ensembles de projections dont le nombre caractérise le niveau de protection. Ce schéma est particulièrement adapté au mode de transport par paquets sans contrôle d'intégrité extensible du canal de transmission. La hiérarchie de la source est dans ce cas communiquée sous forme transparente pour le canal via des descriptions banalisées.
L'évaluation du codage est effectuée en comparant les débits engendrés avec ceux d'un code MDS (Maximum Distance Separable) qui fournissent une solution optimale dans le nombre de symboles nécessaires au décodage. La relaxation des propriétés MDS dans un code (1+ε)MDS avec la transformation Mojette demande une légère augmentation de débit au profit d'une complexité réduite.
L'application sur des schémas de compression d'images valide concrètement l'adaptation possible des sources actuelles à un canal de type best-effort. L'utilisation dans un environnement distribué (micro-paiement, stockage distribué de données multimédia) illustre en outre un partage sécurisé de l'information.
En perspectives de ce travail, nous avons abordé l'intégration de cette méthode dans un protocole de transmission scalable multimédia et étudié une version probabiliste du système.
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Garai, Jozsef. "Thermodynamic description and phase transformation of highly symmetrical monoatomic structures." FIU Digital Commons, 2007. http://digitalcommons.fiu.edu/etd/3614.

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Based on theoretical considerations an explanation for the temperature dependence of the thermal expansion and the bulk modulus is proposed. A new equation state is also derived. Additionally a physical explanation for the latent heat of fusion is presented. These theoretical predictions are tested against experiments on highly symmetrical monoatomic structures. The volume is not an independent variable and must be broken down into its fundamental components when the relationships to the pressure and temperature are defined. Using zero pressure and temperature reference frame, the initial parameters, volume at zero pressure and temperature[VJ, bulk modulus at zero temperature[Ko], and volume coefficient of thermal expansion at zero pressure [a J are defined. The new derived EoS is tested against the experiments on perovskite and epsilon iron. The Root-mean-square-deviations (RMSD) of the residuals of the molar volume, pressure, and temperature are in the range of the uncertainty of the experiments. Separating the experiments into 200 K ranges, the new EoS was compared to the most widely used finite strain, interatomic potential, and empirical isothermal EoSs such as the Burch-Murnaghan, the Vinet, and the Roy-Roy respectively. Correlation coefficients, RMSD’s of the residuals, and Akaike Information Criteria were used for evaluating the fitting. Based on these fitting parameters, the new p-V-T EoS is superior in every temperature range relative to the investigated conventional isothermal EoS. The new EoS for epsilon iron reproduces the preliminary-reference earth-model (PREM) densities at 6100-7400 K indicating that the presence of light elements might not be necessary to explain the Earth’s inner core densities. It is suggested that the latent heat of fusion supplies the energy required for overcoming on the viscous drag resistance of the atoms. The calculated energies for melts formed from highly symmetrical packing arrangements correlate very well with experimentally determined latent heat values. The optical investigation of carbonado-diamond is also part of the dissertation. The collected first complete infrared FTIR absorption spectra for carbonado-diamond confirm the interstellar origin for the most enigmatic diamonds known as carbonado.
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Нікульченко, Артем Олександрович. "Методи та інформаційна технологія децентралізованого гарантуючого керування запасами у мережах поставок з невизначеними запізнюваннями." Thesis, Національний технічний університет "Харківський політехнічний інститут", 2018. http://repository.kpi.kharkov.ua/handle/KhPI-Press/38791.

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Дисертація на здобуття наукового ступеня кандидата технічних наук за спеціальністю 05.13.06 – інформаційні технології. – Національний технічний університет "Харківський політехнічний інститут", Харків, 2018 р. Дисертацію присвячено розробці методів та інформаційної технології (ІТ) децентралізованого керування запасами в мережах поставок (МП) при наявності невизначених запізнювань. Виконано аналіз сучасних інформаційних технологій керування МП. Розроблено математичну модель процесу керування запасами локального вузла МП та її дескрипторне перетворення. Закон керування побудовано у вигляді лінійного зворотного зв'язку за станом. Запропоновано розвиток методу інваріантних еліпсоїдів на основі побудови функціонала Ляпунова-Красовського. За допомогою техніки лінійних матричних нерівностей задачу синтезу регулятора зведено до задачі напіввизначеного програмування. Удосконалено метод прогнозування попиту на ресурси на основі побудови вектора кривої продажів. Запропонований підхід забезпечує оптимальне подавлення впливу зовнішнього попиту на рівні запасів ресурсів за обраним критерієм, а також гарантоване значення показника якості керування. Удосконалено метод визначення максимальної граничної величини запізнювання. Виконано аналіз стійкості керованої МП. Розроблено стратегію реалізації запропонованої ІТ, а також діаграму компонентів інформаційної системи. Результати впроваджено в промислових компаніях та у навчальний процес НТУ "ХПІ".
The dissertation for a candidate degree of technical sciences, specialty 05.13.06 – Information Technologies. – The National Technical University "Kharkiv Polytechnic Institute", Kharkiv, 2018. The thesis focuses on the development of methods and information technology (IT) of decentralized guaranteed inventory control in supply networks (SN) with uncertain transportation delays. Modern information technologies of SN control are analyzed. The mathematical model of the inventory control process at a local node of the SN and descriptor transformation of the model have been suggested. The control law is formulated in the form of linear state feedback. The work suggests an extension of the invariant ellipsoid method based on building of the Lyapunov-Krasovskii functional. Controller synthesis problem has been represented as the semidefinite programming problem. Suggested improvements to the method of forecasting the consumer demand for physical resources based on building a sales curve vectors. The suggested approach ensures optimal compensation of external demand influence on the level of resource stocks by the defined criteria. Suggested approach also ensures guaranteed value of the local quadratic control cost. Suggested improvements to the method of determining the maximum allowed delay. Using the comparison method and Lyapunov vector functions, the stability of the managed SN is analyzed. The thesis also provides implementation strategy for the suggested IT, as well as the diagram of the IT components. The results have been used by commercial companies, as well as in the educational process at the National Technical University "KhPI".
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Нікульченко, Артем Олександрович. "Методи та інформаційна технологія децентралізованого гарантуючого керування запасами у мережах поставок з невизначеними запізнюваннями." Thesis, Національний технічний університет "Харківський політехнічний інститут", 2018. http://repository.kpi.kharkov.ua/handle/KhPI-Press/38702.

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Дисертація на здобуття наукового ступеня кандидата технічних наук за спеціальністю 05.13.06 – інформаційні технології. – Національний технічний університет "Харківський політехнічний інститут", Харків, 2018 р. Дисертацію присвячено розробці методів та інформаційної технології (ІТ) децентралізованого керування запасами в мережах поставок (МП) при наявності невизначених запізнювань. Виконано аналіз сучасних інформаційних технологій керування МП. Розроблено математичну модель процесу керування запасами локального вузла МП та її дескрипторне перетворення. Закон керування побудовано у вигляді лінійного зворотного зв'язку за станом. Запропоновано розвиток методу інваріантних еліпсоїдів на основі побудови функціонала Ляпунова-Красовського. За допомогою техніки лінійних матричних нерівностей задачу синтезу регулятора зведено до задачі напіввизначеного програмування. Удосконалено метод прогнозування попиту на ресурси на основі побудови вектора кривої продажів. Запропонований підхід забезпечує оптимальне подавлення впливу зовнішнього попиту на рівні запасів ресурсів за обраним критерієм, а також гарантоване значення показника якості керування. Удосконалено метод визначення максимальної граничної величини запізнювання. Виконано аналіз стійкості керованої МП. Розроблено стратегію реалізації запропонованої ІТ, а також діаграму компонентів інформаційної системи. Результати впроваджено в промислових компаніях та у навчальний процес НТУ "ХПІ".
The dissertation for a candidate degree of technical sciences, specialty 05.13.06 – Information Technologies. – The National Technical University "Kharkiv Polytechnic Institute", Kharkiv, 2018. The thesis focuses on the development of methods and information technology (IT) of decentralized guaranteed inventory control in supply networks (SN) with uncertain transportation delays. Modern information technologies of SN control are analyzed. The mathematical model of the inventory control process at a local node of the SN and descriptor transformation of the model have been suggested. The control law is formulated in the form of linear state feedback. The work suggests an extension of the invariant ellipsoid method based on building of the Lyapunov-Krasovskii functional. Controller synthesis problem has been represented as the semidefinite programming problem. Suggested improvements to the method of forecasting the consumer demand for physical resources based on building a sales curve vectors. The suggested approach ensures optimal compensation of external demand influence on the level of resource stocks by the defined criteria. Suggested approach also ensures guaranteed value of the local quadratic control cost. Suggested improvements to the method of determining the maximum allowed delay. Using the comparison method and Lyapunov vector functions, the stability of the managed SN is analyzed. The thesis also provides implementation strategy for the suggested IT, as well as the diagram of the IT components. The results have been used by commercial companies, as well as in the educational process at the National Technical University "KhPI".
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Shpotyuk, O., M. Brunner, I. Hadzaman, V. Balitska, and H. Klym. "Analytical description of degradation-relaxation transformations in nanoinhomogeneous spinel ceramics." Thesis, Abstract Book of International research and practice conference: Nanotechnology and nanomaterials. 24-27 August 2016. Lviv, Ukraine. P.622, 2016. http://hdl.handle.net/123456789/3081.

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Vacek, Michal. "Detekce poznávací značky v obraze." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2009. http://www.nusl.cz/ntk/nusl-235496.

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In first part thesis contains known methods of license plate detection. Preprocessing-based methods, AdaBoost-based methods and extremal region detection methods are described.Finally, there is a described and implemented own access using local detectors to creating visual vocabulary, which is used to plate recognition. All measurements are summarized on the end.
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Books on the topic "Descriptor transformation"

1

Dufresne, Gérard. Avoriaz, ou, La transformation d'un paysage. Paris: Editions de l'Epure, 1993.

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The prose of things: Transformations of description in the eighteenth century. Chicago: University of Chicago Press, 2006.

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Wall, Cynthia Sunbgerg. The prose of things: Transformations of description in the eighteenth century. Chicago, IL: University of Chicago Press, 2006.

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The industrial transformation of subarctic Canada. Vancouver: UBC Press, 2009.

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Bacchetta, Florence. En marche vers Compostelle: Un chemin de transformation. Genève: Editions du Tricorne, 1986.

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SUMERU PARVAT: 12 Years of Kailash Mansarovar Pilgrimage and transformation. ASKOTE: Kailash Ashram, 1999.

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GIRI, SWAMI BIKASH. Sumeru parvat: 12 years of Kailash Mansarover pilgrimage and transformation. Distt. Pithorgarh, Uttar Pradesh: Kailash Ashram, 2000.

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The orgy: An Irish journey of passion and transformation. Ashfield, Mass: Paris Press, 1997.

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The invisible threads: Independent Soviets working for global awareness and social transformation. Washington, D.C: Seven Locks Press, 1991.

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Altorki, Soraya. Arabian oasis city: The transformation of ʻUnayzah. Austin: University of Texas Press, 1989.

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Book chapters on the topic "Descriptor transformation"

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Brenas, Jon Haël, Rachid Echahed, and Martin Strecker. "Verifying Graph Transformation Systems with Description Logics." In Graph Transformation, 155–70. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-92991-0_10.

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Bruhns, O. T., and C. Oberste-Brandenburg. "On the Description of Martensitic Phase Transformations Using Tensorial Transformation Kinetics." In Solid Mechanics and Its Applications, 197–204. Dordrecht: Springer Netherlands, 2002. http://dx.doi.org/10.1007/978-94-017-0069-6_24.

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Brazdil, Pavel, Jan N. van Rijn, Carlos Soares, and Joaquin Vanschoren. "Automating Data Science." In Metalearning, 269–82. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-67024-5_14.

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AbstractIt has been observed that, in data science, a great part of the effort usually goes into various preparatory steps that precede model-building. The aim of this chapter is to focus on some of these steps. A comprehensive description of a given task to be resolved is usually supplied by the domain expert. Techniques exist that can process natural language description to obtain task descriptors (e.g., keywords), determine the task type, the domain, and the goals. This in turn can be used to search for the required domain-specific knowledge appropriate for the given task. In some situations, the data required may not be available and a plan needs to be elaborated regarding how to get it. Although not much research has been done in this area so far, we expect that progress will be made in the future. In contrast to this, the area of preprocessing and transformation has been explored by various researchers. Methods exist for selection of instances and/or elimination of outliers, discretization and other kinds of transformations. This area is sometimes referred to as data wrangling. These transformations can be learned by exploiting existing machine learning techniques (e.g., learning by demonstration). The final part of this chapter discusses decisions regarding the appropriate level of detail (granularity) to be used in a given task. Although it is foreseeable that further progress could be made in this area, more work is needed to determine how to do this effectively.
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Janowski, Tomasz. "Stepwise Transformations for Fault-Tolerant Design of CCS Processes." In Formal Description Techniques VII, 505–20. Boston, MA: Springer US, 1995. http://dx.doi.org/10.1007/978-0-387-34878-0_42.

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Iglesias, M. J. Fernández, and M. Llamas Nistal. "Algebraic Specification through Expression Transformation." In Formal Description Techniques and Protocol Specification, Testing and Verification, 355–66. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-0-387-35271-8_22.

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Dunchev, Tsvetan, Alexander Leitsch, Tomer Libal, Daniel Weller, and Bruno Woltzenlogel Paleo. "System Description: The Proof Transformation System CERES." In Automated Reasoning, 427–33. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-14203-1_36.

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Araujo, C. P. Suárez, and R. Moreno-Díaz. "Intersensorial transformations: General systems description and implications." In Computer Aided Systems Theory — EUROCAST '95, 73–87. Berlin, Heidelberg: Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/bfb0034751.

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Nowak, Grażna, and Grzegorz Fic. "Generation of Chemical Transformations: Reaction Pathways Prediction and Synthesis Design." In Statistical Modelling of Molecular Descriptors in QSAR/QSPR, 393–425. Weinheim, Germany: Wiley-VCH Verlag GmbH & Co. KGaA, 2012. http://dx.doi.org/10.1002/9783527645121.ch15.

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Zhuge, Hai, Peng Shi, Yunpeng Xing, and Chao He. "Transformation from OWL Description to Resource Space Model." In The Semantic Web – ASWC 2006, 4–23. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11836025_2.

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Corradini, Andrea, and Dietmar Wolz. "Jungle rewriting: An abstract description of a lazy narrowing machine." In Graph Transformations in Computer Science, 119–37. Berlin, Heidelberg: Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/3-540-57787-4_8.

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Conference papers on the topic "Descriptor transformation"

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El Aiss, Hicham, Karina A. Barbosa, Ahmed El Hajjaji, and Abdelaziz Hmamed. "Admissibility Analysis of Descriptor Delay Systems: Transformation Model." In 2021 60th IEEE Conference on Decision and Control (CDC). IEEE, 2021. http://dx.doi.org/10.1109/cdc45484.2021.9682819.

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Nakamura, Takayuki, and Yuuichi Tashita. "Congruence Transformation Invariant Feature Descriptor for Robust 2D Scan Matching." In 2013 IEEE International Conference on Systems, Man and Cybernetics (SMC 2013). IEEE, 2013. http://dx.doi.org/10.1109/smc.2013.284.

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Fridman, E. "Stability of lineat time-delay systems: A descriptor model transformation." In 2001 European Control Conference (ECC). IEEE, 2001. http://dx.doi.org/10.23919/ecc.2001.7076338.

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Ma, Qinyong, and Dongdong Nie. "Local descriptor generation based on SIFT reconstruction transformation in two directions." In Twelfth International Conference on Graphics and Image Processing, edited by Zhigeng Pan and Xinhong Hei. SPIE, 2021. http://dx.doi.org/10.1117/12.2589345.

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Jiang, Beiyan, Meiying Jiang, Yuming Zhang, Xinghan Du, Yan Huang, and Wu Cai. "Design of Robust Internal Model Control for Multivariate Descriptor Systems Based on Time-scale Transformation." In 2016 International Conference on Mechatronics, Control and Automation Engineering. Paris, France: Atlantis Press, 2016. http://dx.doi.org/10.2991/mcae-16.2016.2.

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Mizuno, Tatsuya, Hiroshi Kataoka, Hisatsugu Yamazaki, Gan Chen, and Isao Takami. "Robust LQ control of ABS based on polytopic representation using descriptor representation and linear fractional transformation." In 2014 11th IEEE International Conference on Control & Automation (ICCA). IEEE, 2014. http://dx.doi.org/10.1109/icca.2014.6871024.

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Lourenço, Vítor N., Gabriela G. Silva, and Leandro A. F. Fernandes. "Hierarchy-of-Visual-Words: a Learning-based Approach for Trademark Image Retrieval." In XXXII Conference on Graphics, Patterns and Images. Sociedade Brasileira de Computação - SBC, 2019. http://dx.doi.org/10.5753/sibgrapi.est.2019.8332.

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In this paper, we present the Hierarchy-of-Visual-Words (HoVW), a novel trademark image retrieval (TIR) method that decomposes images into simpler geometric shapes and defines a descriptor for binary trademark image representation by encoding the hierarchical arrangement of component shapes. The proposed hierarchical organization of visual data stores each component shape as a visual word. It is capable of representing the geometry of individual elements and the topology of the trademark image, making the descriptor robust against linear as well as to some level of nonlinear transformation. Experiments show that HoVW outperforms previous TIR methods on the MPEG-7 CE-1 and MPEG-7 CE-2 image databases.
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Trusov, Peter V., Elena Makarevich, Andrej Podsedertsev, and Nikita Kondratev. "To the description of martensitic transformations in polycrystalline alloys: Multilevel models, transformation criteria." In 28TH RUSSIAN CONFERENCE ON MATHEMATICAL MODELLING IN NATURAL SCIENCES. AIP Publishing, 2020. http://dx.doi.org/10.1063/5.0003711.

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Jiawei, Fei, Yao Yiping, and Zhu Feng. "A Model Description Transformation Tool." In the 2017 International Conference. New York, New York, USA: ACM Press, 2017. http://dx.doi.org/10.1145/3034950.3034977.

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Lee, Samuel C., Yiming Wang, and Elisa T. Lee. "Model-based shape classification using shape-transformation-invariant descriptors." In Electronic Imaging 2006, edited by Longin Jan Latecki, David M. Mount, and Angela Y. Wu. SPIE, 2006. http://dx.doi.org/10.1117/12.643555.

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Reports on the topic "Descriptor transformation"

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Grate, Jay W., Barry M. Wise, and Neal B. Gallagher. Classical Least Squares Transformations of Sensor Array Pattern Vectors into Vapor Descriptors. Office of Scientific and Technical Information (OSTI), January 2003. http://dx.doi.org/10.2172/15010106.

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Morze, Natalia V., and Viktoriia O. Kucherovska. Ways to design a digital educational environment for K-12 education. [б. в.], June 2021. http://dx.doi.org/10.31812/123456789/4438.

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Most educational institutions strive to create favourable conditions for students which meet educational needs of each student. It leads to high demand in the digital educational environment of K-12 education institutions. The article is devoted to the description of the concept, components and ways of designing the digital educational environment of a K-12 education institution through the transformation of educational activities. The importance of developing an educational policy of an educational institution in the field of digital technology is described. Authors present the model and the ways of designing the digital educational environment of the K-12 education institution. The necessity of self-assessment of digital technologies usage in the educational process by all its participants is substantiated; the ways of application of the European tool SELFIE for carrying out such self-analysis are described. Based on the adaptation of all components of the tool SELFIE for Ukrainian education, the results of its usage at one of the secondary schools in Kyiv are presented.
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Merkulova, Yuliya. Система цифровых моделей - новая технология для баланса данных. Yuliya Merkulova, April 2021. http://dx.doi.org/10.12731/er0430.26042021.

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Use of the digital technologies is new and very productive approach for balance of different data. It is very important for balance of supply and demand and for increase of competitiveness of products. Various types of digital models were developed as a result of scientific research, they found reflection in article. Digital models for the description of the list of the sequences of steps and operations of various stages and process in general allow to install system of interrelations between operations and steps and to reach necessary log-ic, increase of effectiveness of any process. Object-relational models for establishment of communications between data of various blocks of databases and functional models of the choice of strategy of data balance form analytical base for justification of the choice of the direction of transformation of data. Models of a combination of a plurality of various data of the offer of products in the form of matrixes of multi-purpose optimization have double effect, because they allow not only to develop various options of data combina-tion, taking into account opportunities of change of location of products over the markets and temporary phases, but also to estimate aggregate useful effect from products. These models together with models of comparison of various options and the choice of optimal solutions allow to generate compatible strategic and current programs of the offer of products as a plurality of the output data balanced with each other and with data of demand. It is providing the best synergetic result. The developed methodology of creation of system of the interconnected digital models for transformation of data and generation of the output data of the situational-strategic program of the offer of products is a cornerstone of formation of new digital econ-omy – of economy of balanced data.
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Mawassi, Munir, Baozhong Meng, and Lorne Stobbs. Development of Virus Induced Gene Silencing Tools for Functional Genomics in Grapevine. United States Department of Agriculture, July 2013. http://dx.doi.org/10.32747/2013.7613887.bard.

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Grapevine is perhaps the most widely grown fruit crop. To understand the genetic make-up so as to improve the yield and quality of grapes and grape products, researchers in Europe have recently sequenced the genomes of Pinot noir and its inbred. As expected, function of many grape genes is unknown. Functional genomics studies have become the major focus of grape researchers and breeders. Current genetic approaches for gene function studies include mutagenesis, crossing and genetic transformation. However, these approaches are difficult to apply to grapes and takes long periods of time to accomplish. It is thus imperative to seek new ways for grape functional genomics studies. Virus-induced gene silencing (VIGS) offers an attractive alternative for this purpose and has proven highly effective in several herbaceous plant species including tomato, tobacco and barley. VIGS offers several advantages over existing functional genomics approaches. First, it does not require transformation to silence a plant gene target. Instead, it induces silencing of a plant gene through infection with a virus that contains the target gene sequence, which can be accomplished within a few weeks. Second, different plant genes can be readily inserted into the viral genome via molecular cloning and functions of a large number of genes can be identified within a short period of time. Our long-term goal of this research is to develop VIGS-based tools for grapevine functional genomics, made of the genomes of Grapevine virus A (GVA) from Israel and Grapevine rupestris stem pitting-associated virus (GRSPaV) from Canada. GVA and GRSPaV are members of the Flexiviridae. Both viruses have single-stranded, positive sense RNA genomes, which makes them easy to manipulate genetically and excellent candidates as VIGS vectors. In our three years research, several major breakthroughs have been made by the research groups involved in this project. We have engineered a cDNA clone of GVA into a binary vector that is infectious upon delivery into plantlets of micropropagated Vitis viniferacv. Prime. We further developed the GVA into an expression vector that successfully capable to silence endogenous genes. We also were able to assemble an infectious full-length cDNA clones of GRSPaV. In the following sections Achievements and Detailed description of the research activities, we are presenting the outcome and results of this research in details.
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Oltarzhevskyi, Dmytro. HISTORICAL FEATURES OF CORPORATE MEDIA FORMATION IN UKRAINE AND IN THE WORLD. Ivan Franko National University of Lviv, February 2021. http://dx.doi.org/10.30970/vjo.2021.49.11067.

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The article examines the world and Ukrainian history of corporate periodicals. The main purpose of this study is to reproduce an objective global picture of the emergence and formation of corporate periodicals, taking into account the business and socio-economic context. Accordingly, its tasks are to compare the conditions and features of corporate media genesis in different countries, to determine the main factors of their development, as well as to clarify the transformations of the terminological apparatus. The research is based on mostly foreign secondary scientific works published from 1915 to the present time. The literature was studied using methods such as overview, historical, functional and thematic analysis, description, and generalization. A systematic approach was used to determine the role and place of each element in the system, as well as to comprehensively consider the object in the general historical context and within the current scientific discourse. The method of systematization made it possible to establish internal and external connections, patterns and contradictions in the development of the object of study. The main historical milestones on this path are identified, examples of the first successful corporate publications and their contribution to business development, public relations, and corporate communications are considered. It was found that corporate media emerged in the mid-nineteenth century spontaneously, on the wave of practical business needs in response to industrialization, company increase, staff growth, and consumer market development. Their appearance preceded the formation of the public relations industry and changed the structure of the information space. The scientific significance of this research is that the historical look at the evolution of corporate media provides an understanding of their place, influence, capabilities, and growing communicative role in the digital age.
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