Geometrical Data

2020 ◽  
pp. 19-39
Author(s):  
Nicolas Lambert ◽  
Christine Zanin
Keyword(s):  
Geometrical Data

Auto-Metrology on TEM Images of FinFET

2014 ◽  
Author(s):  
Sajal Biring
Keyword(s):  
Data Analysis ◽  
Data Interpretation ◽  
Visual Judgment ◽  
Manual Measurement ◽  
Size And Shape ◽  
Highly Sensitive ◽  
Edge Detecting ◽  
Geometrical Data ◽  
Precision And Accuracy ◽  
Device Size

Abstract The FinFET has been introduced in the last decade to provide better transistor performance as the device size shrinks. The performance of FinFET is highly sensitive to the size and shape of the fin, which needs to be optimized with tighter control. Manual measurement of nano-scale features on TEM images of FinFET is not only a time consuming and tedious task, but also prone to error owing to visual judgment. Here, an auto-metrology approach is presented to extract the measured values with higher precision and accuracy so that the uncertainty in the manual measurement can be minimized. Firstly, a FinFET TEM image is processed through an edge detecting algorithm to reveal the fin profile precisely. Finally, an algorithm is utilized to calculate out the required geometrical data relevant to the FinFET parameters and summarizes them to a table or plots a graph based on the purpose of data interpretation. This auto-metrology approach is expected to be adopted by academia and/or industry for proper data analysis and interpretation with higher precision and efficiency.

scholarly journals Evaluation of the Applicability of the Ramp Metering to a Freeway Using Microsimulation: A Case Study in Riyadh, Saudi Arabia

2019 ◽  
Vol 9 (20) ◽  
pp. 4406
Author(s):  
Seongkwan Lee ◽  
Amr Shokri ◽  
Abdullah Al-Mansour
Keyword(s):  
Saudi Arabia ◽  
Traffic Congestion ◽  
Traffic Management ◽  
Fixed Time ◽  
Ramp Metering ◽  
Traffic Data ◽  
Geometrical Data ◽  
Overall Performance ◽  
Length Reduction

Riyadh, the capital of Saudi Arabia, suffers from traffic congestion like other modern societies, during peak hours but also all day long, even without any incidents. To solve this horrible traffic congestion problem, various efforts have been made from the Active Traffic Management (ATM) aspect. Ramp metering (RM) is one of the representative methods of the ATM and has already proven its value in many locations worldwide. Unfortunately, RM has not yet been fully implemented in Saudi Arabia. This research aimed to assess the applicability of RM to a freeway in Riyadh using microsimulation. The widely known software VISSIM (PTV Planung Transport Verkehr AG, Germany, 1992) was chosen to compare the performances of various RM operating scenarios, such as fixedtime operation with different sub-scenarios and traffic-responsive operation using ALINEA (Asservissement Lineaire d’entree Autoroutiere) algorithm. For the simulations, this study targeted Makkah Road, one of the major freeways in Riyadh, and collected geometrical data and traffic data from that freeway. Analysis of four main scenarios and eight sub-scenarios, proved that overall performance of the fixed-time RM operation is generally good. The sub-scenario 4V3R of the fixed-time RM operation was the best in average queue length reduction. However, the traffic-responsive operation was best in average speed improvement.

scholarly journals The Parametric Model of the Human Mandible Coronoid Process Created by Method of Anatomical Features

2015 ◽  
Vol 2015 ◽  
pp. 1-10 ◽  
Author(s):  
Nikola Vitković ◽  
Jelena Mitić ◽  
Miodrag Manić ◽  
Miroslav Trajanović ◽  
Karim Husain ◽  
...  
Keyword(s):  
3D Models ◽  
Parametric Model ◽  
Coronoid Process ◽  
Parametric Models ◽  
Specific Patient ◽  
Medical Practitioners ◽  
Anatomical Features ◽  
X Ray ◽  
Human Bones ◽  
Geometrical Data

Geometrically accurate and anatomically correct 3D models of the human bones are of great importance for medical research and practice in orthopedics and surgery. These geometrical models can be created by the use of techniques which can be based on input geometrical data acquired from volumetric methods of scanning (e.g., Computed Tomography (CT)) or on the 2D images (e.g., X-ray). Geometrical models of human bones created in such way can be applied for education of medical practitioners, preoperative planning, etc. In cases when geometrical data about the human bone is incomplete (e.g., fractures), it may be necessary to create its complete geometrical model. The possible solution for this problem is the application of parametric models. The geometry of these models can be changed and adapted to the specific patient based on the values of parameters acquired from medical images (e.g., X-ray). In this paper, Method of Anatomical Features (MAF) which enables creation of geometrically precise and anatomically accurate geometrical models of the human bones is implemented for the creation of the parametric model of the Human Mandible Coronoid Process (HMCP). The obtained results about geometrical accuracy of the model are quite satisfactory, as it is stated by the medical practitioners and confirmed in the literature.

How to Draw a Curve Using Geometrical Data

1991 ◽  
pp. 135-138
Author(s):  
J.P. Dedieu ◽  
Ch. Favardin
Keyword(s):  
Geometrical Data

Sensitivity Analysis of Spatial Autocorrelation Using Distinct Geometrical Settings

2016 ◽  
Vol 7 (1) ◽  
pp. 65-77 ◽  
Author(s):  
António Manuel Rodrigues ◽  
José António Tenedório
Keyword(s):  
Sensitivity Analysis ◽  
Spatial Autocorrelation ◽  
Count Data ◽  
Data Aggregation ◽  
Scientific Field ◽  
Social Phenomena ◽  
Resident Population ◽  
Geometrical Data ◽  
Proximity Measures ◽  
Global Spatial Autocorrelation

Inferences based on spatial analysis of areal data depend greatly on the method used to quantify the degree of proximity between spatial units - regions. These proximity measures are normally organized in the form of weights matrices, which are used to obtain statistics that take into account neighbourhood relations between agents. In any scientific field where the focus is on human behaviour, areal datasets are greatly relevant since this is the most common form of data collection (normally as count data). The method or schema used to divide a continuous spatial surface into sets of discrete units influences inferences about geographical and social phenomena, mainly because these units are neither homogeneous nor regular. This article tests the effect of different geometrical data aggregation schemas - administrative regions and hexagonal surface tessellation - on global spatial autocorrelation statistics. Two geographical variables are taken into account: scale (resolution) and form (regularity). This is achieved through the use of different aggregation levels and geometrical schemas. Five different datasets are used, all representing the distribution of resident population aggregated for two study areas, with the objective of consistently test the effect of different spatial aggregation schemas.

scholarly journals Impact of Different Developmental Instars on Locusta migratoria Jumping Performance

2020 ◽  
Vol 2020 ◽  
pp. 1-11 ◽  
Author(s):  
Xiaojuan Mo ◽  
Donato Romano ◽  
Mario Milazzo ◽  
Giovanni Benelli ◽  
Wenjie Ge ◽  
...  
Keyword(s):  
High Speed ◽  
Developmental Stages ◽  
Locusta Migratoria ◽  
Biomechanical Model ◽  
Elastic Parameter ◽  
Leg Length ◽  
Jumping Performance ◽  
Locomotion Behavior ◽  
Geometrical Data ◽  
Jumping Robot

Ontogenetic locomotion research focuses on the evolution of locomotion behavior in different developmental stages of a species. Unlike vertebrates, ontogenetic locomotion in invertebrates is poorly investigated. Locusts represent an outstanding biological model to study this issue. They are hemimetabolous insects and have similar aspects and behaviors in different instars. This research is aimed at studying the jumping performance of Locusta migratoria over different developmental instars. Jumps of third instar, fourth instar, and adult L. migratoria were recorded through a high-speed camera. Data were analyzed to develop a simplified biomechanical model of the insect: the elastic joint of locust hind legs was simplified as a torsional spring located at the femur-tibiae joint as a semilunar process and based on an energetic approach involving both locomotion and geometrical data. A simplified mathematical model evaluated the performances of each tested jump. Results showed that longer hind leg length, higher elastic parameter, and longer takeoff time synergistically contribute to a greater velocity and energy storing/releasing in adult locusts, if compared to young instars; at the same time, they compensate possible decreases of the acceleration due to the mass increase. This finding also gives insights for advanced bioinspired jumping robot design.

Development of the CAD/MCNP Automatic Conversion Code GEOMIT

2009 ◽  
Author(s):  
Hesham R. Nasif ◽  
Fukuzo Masuda ◽  
Hiromasa Iida ◽  
Hidetsugu Morota ◽  
Satoshi Sato ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Point Of View ◽  
International Thermonuclear Experimental Reactor ◽  
Cad Model ◽  
First Wall ◽  
Benchmark Model ◽  
Heat Loading ◽  
Geometrical Data ◽  
The Difference ◽  
Representation Scheme

GEOMIT is the CAD/MCNP conversion interface code. The old version of GEOMIT had a limited capability from CAD model handling point of view. It is developed to automatically generate Monte Carlo geometrical data from CAD data due to the difference in the representation scheme. GEOMIT is capable of importing different CAD format as well as exporting different CAD format. GEOMIT has a capability to produce solid cells as well as void cells without using complement operator. While loading the CAD shapes (Solids), each shape is assigning material number and density according to its color. Shape fixing process is been applied to cure the errors in the CAD data. Vertices location correctness is evaluated first, then a removal of free edges and removal of small faces processes. Binary Space Portioning (BSP) tree technique is used to automatically split complicated solids into simpler cells to avoid excessive complicated cells for MCNP to run faster. MCNP surfaces are subjected to an automatic reduction before creating the model. CAD data of International Thermonuclear Experimental Reactor (ITER) benchmark model has been converted successfully to MCNP geometrical input. The first wall heat loading calculations agree very well with other countries results.

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