Contour Shape Research Articles

A Case-Based Reasoning Method for Generalizing Depth Contours considering Both Navigational Safety Assurance and Line Shape Preservation

To address the problem that the parameters are relatively fixed in the existing automatic methods of depth contour generalization, a case-based reasoning method for generalizing depth contours is proposed considering navigational safety and line shape. First, the structured description of depth contours before and after cartography generalization is made to form case samples. Then, driven by the training samples, the machine learning of BP neural network model is constructed, to obtain the simplification degree taking into consideration the preservation of contour shapes. Finally, the generalization parameters are flexibly adjusted based on the simplification degree obtained through the case-based reasoning, so that depth contours can be adaptively generalized for various complex situations. The experimental results demonstrate that: (1) The case-based reasoning method can make the generalization of depth contours comply with the principle of navigational safety; (2) The case-based reasoning method has a stronger applicability maintaining the shape of depth contour, and is more suitable for the automatic generalization of depth contours, compared with the rolling circle method and the triangulation method. Generally, the case-based reasoning method has the potential to improve cartographic quality meeting the requirements of IHO specification, supporting the automatic production of ENC and nautical chart product.

Shaping characteristics of excavation contours in sequential controlled fracture blasting of rock-anchored beams in Shuangjiangkou underground powerhouse

Influences of high in-situ stress generally need to be considered when excavating deep underground caverns. The dynamic fracture behaviors of rocks under blast loads were investigated by using the rock-anchored beam excavation in underground powerhouses of Shuangjiangkou Hydropower Station in Sichuan Province, China as the engineering background. To solve the problems of the poor blasting breakage effect of rocks and the difficulty in protecting surrounding rocks during excavation, mechanical properties of granite under static and dynamic loads were investigated and the sequential controlled fracture blasting (SCFB) method was adopted during in-situ tests. Based on the Riedel-Hiermaier-Thoma constitutive model and the strength criterion, software LS-DYNA was employed to simulate the dynamic propagation of blasting-induced cracks. The contour shaping effect obtained via numerical simulation is generally consistent with the test results. The results show that SCFB can to some extent control the direction of crack initiation and rock fracture behavior of the blasthole wall cracks and the spacing of successive bursting holes is about 10 times the diameter of the blastholes when the cracks between the blastholes are shaped the best effect. Moreover, the magnitude and direction of principal in-situ stress can both affect the propagation path and length of blasting-induced cracks. The results of the research on the excavation and construction of deeply buried underground caverns have a certain reference value.

ANTERIOR AESTHETIC REHABILITATION WITH GINGIVECTOMY AND COMPOSITE RESIN VENEERS

The advancement of surgical procedures for gingival repair and restorative treatments for anterior teeth, which stand out in the scientific community, has been fundamentally influenced by the pursuit of aesthetics. The purpose of the current study is to describe the clinical behaviour of a patient who has small teeth and a gummy smile. The goal was to use a clinical case to illustrate how anterior cosmetic rehabilitation, which includes gingivectomy and composite resin veneers, can be accomplished. The restoration of anterior teeth involves using better shades, colours, opacities, translucency, and anatomical onformation, while treatments that combine dentistry and periodontics are capable of producing good results, enabling normalisation of the gums, correcting their deformities, and restoring the interdental grooves and papillae. Periodontal surgery called a gingivectomy involves removing extra gum tissue. The purpose of the procedure is to change the tooth’s contour, which generates an increase in the clinical crown, providing a smile with adequate protection and support for the oral environment. Resin veneers or direct restoration on anterior teeth are the dental remodelling treatment that guarantees longevity and satisfactory results, in addition to being minimally invasive. The adhesive systems and composite resins available are of high quality, do not impose aesthetic limits, and allow a natural effect determined by the excellence and technical knowledge of the operator. The plan accomplishment allowed reaching the aesthetic principles and establishing a better contour shape and size, both of the gingival tissue and of the anterior teeth. Thus, the procedure was always performed prioritising the demands and satisfaction of the patient, generating excellent clinical results. This research is duly authorized by Opinion: 6.275.546 CEP/CONEP.

GAN-based metal artifacts region inpainting in brain MRI imaging with reflective registration.

Metallic magnetic resonance imaging (MRI) implants can introduce magnetic field distortions, resulting in image distortion, such as bulk shifts and signal-loss artifacts. Metal Artifacts Region Inpainting Network (MARINet), using the symmetry of brain MRI images, has been developed to generate normal MRI images in the image domain and improve image quality. T1-weighted MRI images containing or located near the teeth of 100 patients were collected. A total of 9000 slices were obtained after data augmentation. Then, MARINet based on U-Net with a dual-path encoder was employed to inpaint the artifacts in MRI images. The input of MARINet contains the original image and the flipped registered image, with partial convolution used concurrently. Subsequently, we compared PConv with partial convolution, and GConv with gated convolution, SDEdit using a diffusion model for inpainting the artifact region of MRI images. The mean absolute error (MAE) and peak signal-to-noise ratio (PSNR) for the mask were used to compare the results of these methods. In addition, the artifact masks of clinical MRI images were inpainted by physicians. MARINet could directly and effectively inpaint the incomplete MRI images generated by masks in the image domain. For the test results of PConv, GConv, SDEdit, and MARINet, the masked MAEs were 0.1938, 0.1904, 0.1876, and 0.1834, respectively, and the masked PSNRs were 17.39, 17.40, 17.49, and 17.60dB, respectively. The visualization results also suggest that the network can recover the tissue texture, alveolar shape, and tooth contour. Additionally, for clinical artifact MRI images, MARINet completed the artifact region inpainting task more effectively when compared with other models. By leveraging the quasi-symmetry of brain MRI images, MARINet can directly and effectively inpaint the metal artifacts in MRI images in the image domain, restoring the tooth contour and detail, thereby enhancing the image quality.

WORKING MEMORY OF <i>MACACA MULATTA</i> MONKEYS FOR COLOR AND MONOCHROME IMAGES

In behavioral experiments, we studied the ability of rhesus monkeys (Macaca mulatta) to keep in working memory visual objects that differ either in shape, or in color, or in a combination of these features. Six male rhesus monkeys performed a delayed matching-to-sample task, with three geometric shapes from a set of stimuli as samples. In the first series of experiments, these were colored figures of various shapes, in the second – circles of different colors, in the third – monochrome images of various figures from the set of stimuli. When using both features to memorize objects, the monkeys showed the maximum result, and the task of matching by color performed better than the task of matching by shape. The latter result disagrees with the data (Fehring et al., 2022), where in similar experiments, though with one sample, the opposite bias was observed. The reason for this may be the shift from local features (contours of shapes) to global ones (color) when recognizing and memorizing visual objects under conditions of a greater memory load in our study.

NUMERICAL INVESTIGATION OF FORCED CONVECTION HEAT TRANSFER ON INLINE CYLINDERS IMMERSED IN A POROUS MEDIA

In the present study, forced convection heat transfer on eight inline cylinders immersed in a 10 × 10 × 30 cm packed bed of porous medium is numerically explored with a range of Reynolds numbers from 1100 to 2250. The airflow passes through eight cylinders with an inline arrangement, each having a diameter of 15 mm and a length of 10 cm, immersed in a horizontal porous channel at a constant heat flux of 2000W/m2. The commercial program ANSYS Fluent R.19 simulates the changes in pressure drop and temperature distribution by changing the Reynolds number and porosity. The dimensions of each porous pack are 10x10 cm in cross-section, 5 cm in length, and 5 cm in spacing from the next porous pack. The porosity values are (0.4001, 0.39112, and 0.3822). The general shape of all temperature contours shows that the high porosity near the cylinder wall enhances heat transfer from the heated cylinder surface. After that, the air temperature gradually decreases when going away from the cylinder surface. It can also be seen that the pressure drop decreases as particle diameter increases.

Comparative Characteristics of High-Resolution Ultrasonic and Magnetic Resonance Imaging in the Diagnostics of Edema after Plastic Facial Contouring (Clinical Case)

Clinical monitoring of the parameters of high-resolution ultrasound and magnetic resonance imaging (MRI) in the diagnosis of edema after injection contour plastic. When fillers were detected, hypoechoic avascular structures were found in the soft tissues of the face with blurred contours against the background of infiltrative changes. On MRI the filler was more clearly visualized in the fat suppression mode as a signal section with clear, even contours of certain shapes subcutaneously and supraperiostal. Infiltration changes were characterized by signal amplification and contour blurring.

Calculation of Road Traffic Noise, Development of Data, and Spatial Interpolations for Traffic Noise Visualization in Three-dimensional Space

Road traffic noise visualization is vital in three-dimensional (3D) space. Designing noise observation points (NOPs) and the developments of spatial interpolations are key elements for the visualization of traffic noise in 3D. Moreover, calculating road traffic noise levels by means of a standard noise model is vital. This study elaborates on the developments of data and spatial interpolations in 3D noise visualization. In 3D spatial interpolation, the value is interpolated in both horizontal and vertical directions. Eliminating flat triangles is vital in the vertical direction. Inverse distance weighted (IDW), kriging, and triangular irregular network (TIN) are widely used to interpolate noise levels. Because these interpolations directly support the interpolation of three parameters, the developments of spatial interpolations should be applied to interpolate noise levels in 3D. The TIN noise contours are primed to visualize traffic noise levels while IDW and kriging provide irregular contours. Further, this study has identified that the TIN noise contours fit exactly with NOPs in 3D. Moreover, advanced kriging interpolation such as empirical Bayesian kriging (EBK) also provides irregular shape contours and this study develops a comparison for such contours. The 3D kriging in EBK provides a significant approach to interpolate noise in 3D. The 3D kriging voxels show a higher accurate visualization than TIN noise contours.

Effects of corrugated boundaries on Rayleigh waves in a piezoelectric semiconductor substrate covered with a metal layer

In the present work, analytical solutions for Rayleigh waves propagating in a metal covered layer over a piezoelectric semiconductor (PSC) substrate with corrugated surface and corrugated interface are obtained. The solutions of the various physical fields can be expressed as a summation of infinite harmonic waves by using the Bloch–Floquet theorem due to the existence of the periodic corrugated surface and corrugated interface. The effects of the height and contour shape of the corrugated surface and corrugated interface, the doping density of the PSC substrate and the thickness of the metal covered layer on the dispersion and attenuation curves and mode shapes of Rayleigh waves are discussed via numerical example. The results show that the existence of the corrugated surface will lead to the decrease of the phase velocity and non-monotonous change with wavenumber, besides, and significantly increases the attenuation near k0=π/Λ(k0 and Λ are the wavenumber and period, respectively). In addition, the effects of periodic corrugated surface are much greater than those of periodic corrugated interface and are closely related with the ratio of the wavelength to the structure period. Moreover, the sinusoidal corrugated surface can be used to better control the propagation characteristics of Rayleigh waves by comparison.

Functional biomaterials as model of resorbable framework for tissue expanding to recover contour shape in surgical application: Performance evaluation

Functional biomaterials as model of resorbable framework for tissue expanding to recover contour shape in surgical application: Performance evaluation

Conformal Theoretical Modeling of Arbitrary Shape Flexible Electronic Sensors Mounted Onto General Curved Surface Substrates

Abstract Stretchable and flexible electronic sensors have been attracted to novel applications due to their conformal integration onto complex curved surfaces, whereas the mounting strains generated by the geometric mismatch of substrate surface and electronic sensors may cause non-conformal contact at the interface, thus would induce non-negligible effects on the performance of sensors. To investigate the influence rules of the shape of electronic sensors and their geometric parameters on conformal contacts, this paper presents a novel conformal model to study the arbitrary shaped films as flexible sensors mounted onto general curved-surface substrates. The energy minimization principle and the integral summation method play vital roles during the modeling, and three types of films with various shapes including rectangular, oval, and hexagonal mounted onto a bicurvature substrate are investigated. The influences of three dimensionless shape parameters of oval and hexagonal film/substrate contacts are analyzed for the dimensionless strain energy of conformal mounting. The strain and critical dimensionless strain energy of three films/bicurvature substrate contacts are calculated and compared under the same conformal area. The results demonstrated that the contour shape of electronic sensor has a considerable effect on conformal mounting and strain. Thus, the developed conformal model would have great significance in guiding the design of flexible electronic devices and sensors when applied to general curved surfaces.

Computer tomography-based shape of tumor contour and texture of tumor heterogeneity are independent prognostic indicators for clinical T1b-T2 renal cell carcinoma.

To evaluate association between computer tomography (CT)-based features of renal cell carcinoma (RCC) and survival outcomes. Data of 958 patients with clinical T1b-T2 RCC who underwent partial/radical nephrectomy from June 2003 to March 2022 were retrospectively evaluated. CT images of patients were reviewed by two radiologists for texture analysis of tumor heterogeneity and shape analysis of tumor contour. Patients were divided into three groups according to patterns of CT-based features: (1) favorable feature group (n = 117); (2) intermediate feature group (n = 606); and (3) unfavorable feature group (n = 235). Kaplan-Meier survival analysis and multivariate Cox regression analysis were performed to evaluate overall survival (OS), cancer-specific survival (CSS), and recurrence-free survival (RFS). RCCs with unfavorable CT-based feature showed larger size on CT, higher nuclear grade, higher rate of histologic necrosis, and higher rate of capsular invasion than those in the other two groups (all p < 0.001). Unfavorable feature was associated with poorer OS (p = 0.001), CSS (p < 0.001), and RFS (p < 0.001) on Kaplan-Meier analysis. In multivariate analysis, intermediate and unfavorable features were independent predictors for recurrence (hazard ratio [HR] 2.51, 95% confidence interval [CI] 1.09-5.79, p = 0.031 and HR 3.71, 95% CI 1.58-8.73, p = 0.003, respectively), but not for overall death or RCC-specific death. A combination of irregular tumor contour feature with heterogeneous tumor texture feature on CT is associated with poor RFS in clinical T1b-T2 RCC preoperatively.

DESIGN AND MANUFACTURE OF MEASURING INSTRUMENTS FOR INSIDE POCKET CONTOUR MAPPING USING ULTRASONIC SENSORS

In this's era, the measuring instruments used in the machining process still use a lot of mechanical principles and there are only a few that are combined with electrical components. Most of the measuring instruments that exist now are only linear and there are still few that can measure the shape of the contour. One of the tools that can be used to measure contours is CMM, but the price of this tool is very expensive. The need for tools for this contour measurement process is very much needed in the industrial world because some parts of the industry have various contour shapes and are difficult if measured without using a CMM machine. Therefore, the purpose of this study is to make a measuring instrument for contour mapping using electronic sensors. The manufacture and design of measuring instruments start with designing electricity and hardware, then continues with microcontroller programming and Matlab. This measuring instrument is then tested for linear distance measurement accuracy, accuracy per angle, and accuracy of contour shapes. The results showed that the size results had a maximum deviation of 10 millimeters with a maximum distance of 500 millimeters. The 0° angle is the worst reading angle with a deviation of 8.67 millimeters, while the 90° and 180° angles are the best reading angles with a deviation of 1 millimeter. Square and rectangular shapes can be represented quite well, while triangular shapes are less well represented due to their angles being far from perpendicular to the sensor.

Visual element recognition based on profile coefficient and image processing technology

Abstract A method based on the contour coefficient and image processing technology is proposed to better identify the visual elements. This article takes the contour of the image as the recognition feature, summarizes the methods of target contour feature extraction, contour shape representation, and similarity representation, and studies the processing methods of contour edge preserving and denoising, contour feature simplification and description methods, and contour matching methods. This problem can usually be solved by filling out a form. Generally, a simple iterative equation is given to express the direct relationship between the current table and the calculated table values. The dynamic programming algorithm of inner distance shape context, multi-scale convexity convexity, and triangle area representation finds the best sequence correspondence.

Reconstruction of Medial Canthal Ligament With Autogenous Fascia Lata Graft.

An eyelid malignant tumor invading the medial canthus is a serious eyelid disease that requires extensive resection and complex destruction. The medial canthus ligament is especially difficult to repair because its reconstruction often requires special materials. In this study, we described our reconstruction technique using autogenous fascia lata. Data from 4 patients (4 eyes) who had medial canthal ligament defects after Mohs resection of eyelid malignant tumors were reviewed from September 2018 to August 2021. The reconstruction of the medial canthal ligament using autogenous fascia lata was performed in all of the patients. If combined with the upper and lower tarsus defects, autogenous fascia lata was split into 2 branches to repair the tarsal plate. The pathologic diagnosis was basal cell carcinoma in all patients. The mean follow-up time was 13.6±3.51 months (range, 8-24mo). There was no tumor recurrence, infection, or graft rejection. All patients achieved good eyelid movement and function and were satisfied with their medial angular shape and cosmetic contour. Autogenous fascia lata is a good material to repair medial canthal defects. It is easy to take and effectively maintains eyelid movement and function with satisfactory postoperative effects.

GLAMPING RESORT DI KABUPATEN BENGKAYANG

The busyness that tends to be the same and the problems faced every day make people bored. You can relieve boredom by taking a vacation to natural attractions. Nature that has a varied topography such as hilly areas, beaches, valleys, and others gives rise to beautiful areas. One area that has topographic diversity is in Bengkayang Regency, West Kalimantan. One of the activities that can enjoy nature directly is camping / camping activities. Not everyone can do camping activities because the terrain is difficult to reach. Therefore, glamping (glamour camping) emerged which is a luxurious and practical camping activity as a solution. Glamping can be combined with resorts which are tourist attractions equipped with lodging facilities and produce glamping resorts that offer visitors the convenience of staying in the open. The method used is the J.C Jones method with direct data collection and based on literature studies. The aim of the design is to design a tourist area without destroying nature, to adapt to existing site conditions, and to be easy to pass. The result of the design is a tourist area that can be reached easily consisting of several masses of buildings that are placed in certain areas as facilities of the area such as glamping inns which are placed in the back area of the area and outbound which are placed scattered following the shape of the area's contours.

On water-entry cavity evolution models and maneuvering motion of supercavitating vehicle

The maneuverability of supercavitating vehicles is significantly affected by disturbance from their control surfaces during the water-entry process. In this paper, experiments and simulations on cavity evolution models and vehicle dynamic characteristics are carried out to investigate the influence of the water-entry disturbance on the water-entry maneuvering motion process of supercavitating vehicles. In the water-entry experiment of medium speed projectiles based on the high speed photography, the shapes of cavity contours are extracted and the applicability of the cavity evolution models to the problem of water-entry maneuvering motion is verified. A kind of more correct prediction model of cavity shape is chosen by the comparison. A mathematical model on the water-entry maneuvering motions of vehicles is developed based upon certain simplifications, which makes an improvement on the three-dimensional cavity topology algorithm. Afterward, the simulations on the water-entry maneuvering motion of the vehicle are carried out, from which the real-time interaction between the vehicle and the cavity is extracted and the influence law of the fin deflection angle on the vehicle dynamic characteristics is analyzed. The influence mechanism of the desynchronization of fins' contacting water on the water-entry maneuvering motions of vehicles is revealed. It is found that the fin deflection angle of 10° is the most conducive to enhancing the vehicles' ability to stabilize their attitudes during water-entry maneuver by analyzing the fin efficiency and planning parameters.

Using deep learning to track time × frequency whistle contours of toothed whales without human-annotated training data.

Many odontocetes produce whistles that feature characteristic contour shapes in spectrogram representations of their calls. Automatically extracting the time × frequency tracks of whistle contours has numerous subsequent applications, including species classification, identification, and density estimation. Deep-learning-based methods, which train models using analyst-annotated whistles, offer a promising way to reliably extract whistle contours. However, the application of such methods can be limited by the significant amount of time and labor required for analyst annotation. To overcome this challenge, a technique that learns from automatically generated pseudo-labels has been developed. These annotations are less accurate than those generated by human analysts but more cost-effective to generate. It is shown that standard training methods do not learn effective models from these pseudo-labels. An improved loss function designed to compensate for pseudo-label error that significantly increases whistle extraction performance is introduced. The experiments show that the developed technique performs well when trained with pseudo-labels generated by two different algorithms. Models trained with the generated pseudo-labels can extract whistles with an F1-score (the harmonic mean of precision and recall) of 86.31% and 87.2% for the two sets of pseudo-labels that are considered. This performance is competitive with a model trained with 12 539 expert-annotated whistles (F1-score of 87.47%).

SHAPE GENERATION SYSTEM FOR OPTIMIZING AESTHETIC INTEREST ASSOCIATED WITH NOVELTY AND COMPLEXITY

AbstractDesign aesthetics are one of the most important factors affecting the attractiveness of industrial products. Psychological theory suggests that a moderate level of novelty and complexity yields pleasant feelings in users. A design that is initially surprising to consumers and acceptable over time requires aesthetic interest associated with its novelty and complexity. In this study, we formulated the perceived novelty and complexity of a closed contour shape. Based on this formulation, we developed “Hybrid-GAN,” which is a shape-generation system capable of generating a variety of shapes of arbitrary novelty and complexity. In a series of experiment, we obtained subjective evaluations of novelty and complexity, as well as beauty and interest, for the generated shape samples. The results indicated that our novelty and complexity formulations had significant positive correlations with subjective evaluations. The sum of the formulated novelty and complexity also had a significant positive correlation with interest. The results of this study are expected to be used to support the design of attractive shapes by providing feedback to designers regarding the degrees of novelty and complexity that users find most pleasant.

Automated Detection of Apical Foreshortening in Echocardiography Using Statistical Shape Modelling

Automated detection of foreshortening, a common challenge in routine 2-D echocardiography, has the potential to improve quality of acquisitions and reduce the variability of left ventricular measurements. Acquiring and labelling the required training data is challenging due to the time-intensive and highly subjective nature of foreshortened apical views. We aimed to develop an automatic pipeline for the detection of foreshortening. To this end, we propose a method to generate synthetic apical-four-chamber (A4C) views with matching ground truth foreshortening labels. A statistical shape model of the four chambers of the heart was used to synthesise idealised A4C views with varying degrees of foreshortening. Contours of the left ventricular endocardium were segmented in the images, and a partial least squares (PLS) model was trained to learn the morphological traits of foreshortening. The predictive capability of the learned synthetic features was evaluated on an independent set of manually labelled and automatically curated real echocardiographic A4C images. Acceptable classification accuracy for identification of foreshortened views in the testing set was achieved using logistic regression based on 11 PLS shape modes, with a sensitivity, specificity and area under the receiver operating characteristic curve of 0.84, 0.82 and 0.84, respectively. Both synthetic and real cohorts showed interpretable traits of foreshortening within the first two PLS shape modes, reflected as a shortening in the long-axis length and apical rounding. A contour shape model trained only on synthesized A4C views allowed accurate prediction of foreshortening in real echocardiographic images.