Littérature scientifique sur le sujet « Rough Point (Newport, R.I.) »
Créez une référence correcte selon les styles APA, MLA, Chicago, Harvard et plusieurs autres
Sommaire
Consultez les listes thématiques d’articles de revues, de livres, de thèses, de rapports de conférences et d’autres sources académiques sur le sujet « Rough Point (Newport, R.I.) ».
À côté de chaque source dans la liste de références il y a un bouton « Ajouter à la bibliographie ». Cliquez sur ce bouton, et nous générerons automatiquement la référence bibliographique pour la source choisie selon votre style de citation préféré : APA, MLA, Harvard, Vancouver, Chicago, etc.
Vous pouvez aussi télécharger le texte intégral de la publication scolaire au format pdf et consulter son résumé en ligne lorsque ces informations sont inclues dans les métadonnées.
Articles de revues sur le sujet "Rough Point (Newport, R.I.)"
1
Zhang, Jianpeng, Jinliang Wang, Weifeng Ma, Yuncheng Deng, Jiya Pan et Jie Li. « Vegetation Extraction from Airborne Laser Scanning Data of Urban Plots Based on Point Cloud Neighborhood Features ». Forests 14, no 4 (28 mars 2023) : 691. http://dx.doi.org/10.3390/f14040691.
Texte intégralRésumé :
This study proposes an accurate vegetation extraction method used for airborne laser scanning data of an urban plot based on point cloud neighborhood features to overcome the deficiencies in the current research on the precise extraction of vegetation in urban plots. First, the plane features in the R-neighborhood are combined with Euclidean distance clustering to extract the building point cloud accurately, and the rough vegetation point cloud is extracted using the discrete features in the R-neighborhood. Then, under the building point cloud constraints, combined with the Euclidean distance clustering method, the remaining building boundary points in the rough vegetation point cloud are removed. Finally, based on the vegetation point cloud after removing the building boundary point cloud, points within a specific radius r are extracted from the vegetation point cloud in the original data, and a complete urban plot vegetation extraction result is obtained. Two urban plots of airborne laser scanning data are selected to calculate the point cloud plane features and discrete features with R = 0.6 m and accurately extract the vegetation point cloud from the urban point cloud data. The visual effect and accuracy analysis results of vegetation extraction are compared under four different radius ranges of r = 0.5 m, r = 1 m, r = 1.5 m and r = 2 m. The best vegetation extraction results of the two plots are obtained for r = 1 m. The recall and precision are obtained as 92.19% and 98.74% for plot 1 and 94.30% and 98.73% for plot 2, respectively.
2
Das, Pratulananda, Sanjoy Ghosal, Avishek Ghosh et Sumit Som. « Characterization of rough weighted statistical limit set ». Mathematica Slovaca 68, no 4 (28 août 2018) : 881–96. http://dx.doi.org/10.1515/ms-2017-0152.
Texte intégralRésumé :
Abstract Our focus is to generalize the definition of the weighted statistical convergence in a wider range of the weighted sequence {tn}n∈ℕ. We extend the concept of weighted statistical convergence and rough statistical convergence to renovate a new concept namely, rough weighted statistical convergence. On a continuation we also define rough weighted statistical limit set. In the year (2008) Aytar established the following results: The diameter of rough statistical limit set of a real sequence is ≤ 2r (where r is the degree of roughness) and in general it has no smaller bound. If the rough statistical limit set is non-empty then the sequence is statistically bounded. If x∗ and c belong to rough statistical limit set and statistical cluster point set respectively, then |x∗ − c| ≤ r. We investigate whether the above mentioned three results are satisfied for rough weighted statistical limit set or not? Answer is no. So our main objective is to interpret above mentioned different behaviors of the new convergence and characterize the rough weighted statistical limit set. Also we show that this set satisfies some topological properties like boundedness, compactness, path connectedness etc.
3
Baek, Jong Il, S. E. Abbas, Kul Hur et Ismail Ibedou. « On Proximity Spaces Constructed on Rough Sets ». Axioms 13, no 3 (15 mars 2024) : 199. http://dx.doi.org/10.3390/axioms13030199.
Texte intégralRésumé :
Based on equivalence relation R on X, equivalence class [x] of a point and equivalence class [A] of a subset represent the neighborhoods of x and A, respectively. These neighborhoods play the main role in defining separation axioms, metric spaces, proximity relations and uniformity structures on an approximation space (X,R) depending on the lower approximation and the upper approximation of rough sets. The properties and the possible implications of these definitions are studied. The generated approximation topology τR on X is equivalent to the generated topologies associated with metric d, proximity δ and uniformity U on X. Separated metric spaces, separated proximity spaces and separated uniform spaces are defined and it is proven that both are associating exactly discrete topology τR on X.
4
Kumermanis, Maris, et Janis Rudzitis. « Microtopography Model of Rough Surface ». Solid State Phenomena 147-149 (janvier 2009) : 686–89. http://dx.doi.org/10.4028/www.scientific.net/ssp.147-149.686.
Texte intégralRésumé :
For perfect surface roughness description is not enough to know characteristics of surface profile. It is necessary to use topography methods, so called microtopography. Thereby, surface roughness in microtopographycal understanding must be described with three coordinates, whose in Cartesian coordinates system compose point under consideration height h, abscissa and ordinate, determines point position in the plane. Most efficient methods in irregular surface roughness research are random function theory methods. Therefore, microtopography, analogically to profile, may consider as random function, but two dimensional function, i.e. two variable x and y random field h(x,y). From analogy with random process, random field can be normal – ordinates are distributed by normal (Gaussian) distribution. Moreover, random field can be homogeneous and heterogeneous. Random field is deemed homogeneous if its mean value is discretionary and correlation function depends only from distance between surface points. Important characteristic of random field is correlation function, whose depends of two variables t1 and t2 – orthogonal Cartesian coordinates of vector t. Random field is homogeneous and isotropic when its characteristics are equivalent in any direction. There are three types of surface anisotropy: • General event of surface anisotropy. Characteristics of this event roughness parameters are depend of surface split direction. • Surface roughness with direct anisotropy. Those surfaces are with typical traces of tool and they proper two mutually perpendicular surface roughness directions. • Extended anisotropy area – special event of anisotropy roughness. Of analytical opinion, gainfully anisotropy roughness see as extended occasional isotropy area. This let easy cross from anisotropy surface to isotropy and contrariwise, thereby embrace amount class of surface roughness. Let’s formulate microtopography model of rough surface [1]. Surface roughness is described with homogeneous normal random field h(x,y) that has uninterrupted correlation function and uninterrupted deriviates. We may consider that E{h(x,y)}=0. The mean random field value is plane called mean plane. For describing random field we must know mathematical expectation and field correlation function, what in fact reduces on determining dispersion and rationed correlation function r(t1, t2). Homogeneous random field dispersion D{h} doesn’t depends of direction and can be founded in any surface split. Given model of rough surface let inspect surfaces produced by abrasive instruments and friction surfaces after wear-in period.
5
Van Horn, E., C. Manley, D. Leddy, D. Cicchetti et P. Tyrer. « Problems in developing an instrument for the rapid assessment of personality status ». European Psychiatry 15, S1 (juin 2000) : 29–33. http://dx.doi.org/10.1016/s0924-9338(00)00497-1.
Texte intégralRésumé :
SummaryPurposeTo assess the validity of a quick assessment instrument (10 minutes) for assessing personality status, the Rapid Personality Assessment Schedule (PAS-R).Subjects and methodsThe PAS-R was evaluated in psychotic patients recruited in one of the centres involved in a multicentre randomised controlled trial of intensive vs standard case management (the UK700 case management trial). Patients were assessed using both a full version of the PAS (PAS-I – ICD version) and the PAS-R. The weighted kappa statistic was used to gauge the (criterion-related) validity of the PAS-R using the PAS-I as the gold standard. Both measure code personality status using a four-point rating of severity in addition to recording individual categories of personality disorder.ResultsOne hundred fifty-five (77%) of 201 patients recruited were assessed with both instruments. The weighted kappa statistic was 0.31, suggesting only moderate agreement between the PAS-I and PAS-R instruments under the four-point rating format, and 0.39 for the dichotomous personality disorder/no disorder separation. The sensitivity (64%) and specificity (82%) of the PAS-R in predicting PAS-I personality disorder were as satisfactory as for other screening instruments but still somewhat disappointing, and the PAS-R had an overall diagnostic accuracy of 78%.ConclusionThe PAS-R is a quick and rough method of detecting personality abnormality but is not a substitute for a fuller assessment.
6
Wang, Haitao, et Yanli Chen. « A smoke image segmentation algorithm based on rough set and region growing ». Journal of Forest Science 65, No. 8 (30 août 2019) : 321–29. http://dx.doi.org/10.17221/34/2019-jfs.
Texte intégralRésumé :
Because the image fire smoke segmentation algorithm can not extract white, gray and black smoke at the same time, a smoke image segmentation algorithm is proposed by combining rough set and region growth method. The R component of the image is extracted in the RGB colour space, the roughness histogram is constructed according to the statistical histogram of the R component, and the appropriate valley value in the roughness histogram is selected as the segmentation threshold, the image is roughly segmented. Relative to the background image, the smoke belongs to the motion information, and the motion region is extracted by the interframe difference method to eliminate static interference. Smoke has a unique colour feature, a smoke colour model is created in the RGB colour space, the motion disturbances of similar colour are removed and the suspected smoke areas are obtained. The seed point is selected in the region, and the region is grown on the result of rough segmentation, the smoke region is extracted. The experimental results show that the algorithm can segment white, gray and black smoke at the same time, and the irregular information of smoke edges is relatively complete. Compared with the existing algorithms, the average segmentation accuracy, recall rate and F-value are increased by 19%, 21.5% and 20%, respectively.<br /><br />
7
Adhikari, Yagya Prasad, et Anton Fischer. « Distribution pattern of the epiphytic orchid Rhynchostylis retusa under strong human influence in Kathmandu valley, Nepal ». Botanica Orientalis : Journal of Plant Science 8 (2 mars 2012) : 90–99. http://dx.doi.org/10.3126/botor.v8i0.5956.
Texte intégralRésumé :
We studied distribution pattern of the epiphytic orchid Rhynchostylis retusa (L.) Blume with respect to (i) site characteristics and host conditions, and (ii) the type and intensity of land use in Kathmandu Valley, central Nepal. We established a 1.5 km grid net and analyzed epiphytic orchids at each point, searching for 10 trees as close as possible to the grid point. There we analyzed bark water-holding capacity, bark pH, bark roughness and light intensity. We assessed the probability of the occurrence of R. retusa in different land use patterns. Our results indicated that R. retusa was not a host-specific orchid species. It was found on different host tree species. However, Ficus religiosa was the most common host species. The correlation between R. retusa occurrence and microclimate condition was weak. R. retusa, to a certain degree, preferred light intensity of 40-80% of full sun light, rough bark with pH around 6.5 and bark with a wide range of water holding capacity. The distribution pattern of R. retusa was influenced by certain types of land use. The probability to find R. retusa was highest in forest patches and parks and lowest in agricultural and dense populated area. The study reveals that to improve the population size of R. retusa, trees (mainly Alnus nepalensis, Ficus religiosa and Schima wallichii) should be planted in areas where the orchid species is recently missing.doi: http://dx.doi.org/10.3126/botor.v8i0.5956 Botanica Orientalis – Journal of Plant Science (2011) 8: 90-99
8
Bishay, Samira T. « Estimation of the electromagnetic field in a sea with rough upper and lower surfaces ». Canadian Journal of Physics 66, no 4 (1 avril 1988) : 319–22. http://dx.doi.org/10.1139/p88-049.
Texte intégralRésumé :
We present initial results of calculated electric and magnetic fields at an arbitrary distance, r, from a transmitter antenna by investigating the effect of roughness of both upper and lower sea surfaces on electromagnetic wave propagation in seas. The part of the sea under investigation is considered in terms of a three-layer medium (air – sea water – ground). Sea waves lead to the variations that occur in both upper and lower sea surfaces. These variations are studied using the perturbation technique. The solution holds for low frequencies and is only limited by the fact that the variations of the upper and lower boundaries of the sea about a mean height must be small with respect to the mean depth of the sea. The problem is evaluated mathematically using the residue and saddle point methods.
9
Craig, Walter, Philippe Guyenne, David P. Nicholls et Catherine Sulem. « Hamiltonian long–wave expansions for water waves over a rough bottom ». Proceedings of the Royal Society A : Mathematical, Physical and Engineering Sciences 461, no 2055 (8 mars 2005) : 839–73. http://dx.doi.org/10.1098/rspa.2004.1367.
Texte intégralRésumé :
This paper is a study of the problem of nonlinear wave motion of the free surface of a body of fluid with a periodically varying bottom. The object is to describe the character of wave propagation in a long–wave asymptotic regime, extending the results of R. Rosales & G. Papanicolaou (1983 Stud. Appl. Math. 68 , 89–102) on periodic bottoms for two–dimensional flows.We take the point of view of perturbation of a Hamiltonian system dependent on a small scaling parameter, with the starting point being Zakharov's Hamiltonian (V. E. Zakharov 1968 J. Appl. Mech. Tech. Phys. 9, 1990–1994) for the Euler equations for water waves. We consider bottom topography which is periodic in horizontal variables on a short length–scale, with the amplitude of variation being of the same order as the fluid depth. The bottom may also exhibit slow variations at the same length–scale as, or longer than, the order of the wavelength of the surface waves. We do not take up the question of random bottom variations, a topic which is considered in Rosales & Papanicolaou (1983). In the two–dimensional case of waves in a channel, we give an alternate derivation of the effective Korteweg–de Vries (KdV) equation that is obtained in Rosales & Papanicolaou (1983). In addition, we obtain effective Boussinesq equations that describe the motion of bidirectional long waves, in cases in which the bottom possesses both short and long–scale variations. In certain cases we also obtain unidirectional equations that are similar to the KdV equation. In three dimensions we obtain effective three–dimensional long–wave equations in a Boussinesq scaling regime, and again in certain cases an effective Kadomtsev–Petviashvili (KP) system in the appropriate unidirectional limit. The computations for these results are performed in the framework of an asymptotic analysis of multiple–scale operators. In the present case this involves the Dirichlet–Neumann operator for the fluid domain which takes into account the variations in bottom topography as well as the deformations of the free surface from equilibrium.
10
Bhushan, Shanti, Tao Xing, Pablo Carrica et Frederick Stern. « Model-and Full-Scale URANS Simulations of Athena Resistance, Powering, Seakeeping, and 5415 Maneuvering ». Journal of Ship Research 53, no 04 (1 décembre 2009) : 179–98. http://dx.doi.org/10.5957/jsr.2009.53.4.179.
Texte intégralRésumé :
This study demonstrates the versatility of a two-point, multilayer wall function in computing model-and full-scale ship flows with wall roughness and pressure gradient effects. The wall-function model is validated for smooth flat-plate flows at Reynolds numbers up to 109, and it is applied to the Athena R/V for resistance, propulsion, and seakeeping calculations and to fully appended DTMB 5415 for a maneuvering simulation. Resistance predictions for Athena bare hull with skeg at the model scale compare well with the near-wall turbulence model results and experimental fluid dynamics (EFD) data. For full-scale simulations, frictional resistance coefficient predictions using smooth wall are in good agreement with the International Towing Tank Conference (ITTC) line. Rough-wall simulations show higher frictional and total resistance coefficients, where the former is found to be in good agreement with the ITTC correlation allowance. Self-propelled simulations for the fully appended Athena performed at full scale using rough-wall conditions compare well with full-scale data extrapolated from model-scale measurements using the ITTC ship-model correlation line including a correlation allowance. Full-scale computations are performed for the towed fully appended Athena free to sink and trim and the boundary layer and wake profiles are compared with full-scale EFD data. Rough-wall results are found to be in better agree-ment with the EFD data than the smooth-wall results. Seakeeping calculations are performed for the demonstration purpose at both model-and full-scale. Maneuvering calculation shows slightly more efficient rudder action, lower heading angle overshoots, and lower roll damping for full-scale than shown by the model scale.
Livres sur le sujet "Rough Point (Newport, R.I.)"
1
Rough point : The Newport home of Doris Duke. Newport Restoration Foundation, 2003.
Trouver le texte intégral
2
Knierim, Linda McFarlane. A Summer Cottage Through A child's Eye : A Caretaker's Daughter Rough Point Newport, Rhode Island. CreateSpace Independent Publishing Platform, 2016.
Trouver le texte intégralActes de conférences sur le sujet "Rough Point (Newport, R.I.)"
1
Kudryashov, I. N., M. A. Ivashchenko et O. V. Belomestnova. « SMELTERS' LABOR IN THE OF SECONDARY LEAD PRODUCTION SEVERITY PHYSIOLOGICAL-ERGONOMIC INDICATORS ». Dans The 4th «OCCUPATION and HEALTH» International Youth Forum (OHIYF-2022). FSBSI «IRIOH», 2022. http://dx.doi.org/10.31089/978-5-6042929-6-9-2022-1-128-132.
Texte intégralRésumé :
Structural reorganization and optimization of metallurgical enterprises often leads to labor functions assigned to employees change, staff reduction as well as work shift duration change, while the issue of assessing the labor severity and the physiological cost of work performed under new conditions is not given due attention. The purpose of work is to assess the physiological and ergonomic indicators of smelters' labor severity in secondary lead production for management measures subsequent development. The workplaces of smelters (short barrel furnaces) of the metallurgical workshop for the production of rough lead from secondary raw materials were selected. Severity of labor ergonomic indicators assessment were carried out in accordance with the manual R 2.2.2006-05; physiological indicators included pulse rate, minute volume of breathing, respiratory rate and energy consumption. The study results indicate the workers body functional stress at work, characterizing the operations, and work of smelters as a whole as heavy. The main ergonomic indicators of smelters' work severity, which influenced the final assessment, were the working posture «standing» and the slopes of body more than 30○. From the point of view of the total workload of employees in «smelter» profession it is necessary to develop measures aimed to rationing this load.