scholarly journals AutoCAD Civil 3D 2010 with Hydraflow Extension

1970 ◽  
Vol 66 (2) ◽  
Author(s):  
Irina GRIGORE ◽  
Severin CAZANESCU ◽  
Raluca Alexandra CAZANESCU
Keyword(s):  
Food Production ◽  
Climate Changes ◽  
Computing Time ◽  
Land Development ◽  
Rainfall Runoff ◽  
Software Application ◽  
Droughts And Floods ◽  
Drinkable Water ◽  
High Level ◽  
Short Time

In our days, communities have to face high level of water and food consumption based on uncertain supplies and growing demands. Thus, they work to prevent floods, soil erosion, to supply fresh water for population, industry and irrigation and to redirect streams and rivers in order to increase the food production. On the other hand, climate changes increased the frequency of extreme events like droughts and floods, and water management became a matter of great concern, in order to protect and preserve fertile land and drinkable water resources. Powerful software are needed to help environmental specialists to develop reliable projects for sustainable land development, in a short time. In the present paper, we will briefly present AutoCAD Civil 3D 2010, the most powerful software application released by Autodesk Inc., a short time ago. Using AutoCAD Civil 3D 2010 components together with new set of extensions, named Hydraflow Extension, land development specialists can deal with a large variety of hydrologic and hydraulic aspects, such as delineating watersheds and drainage areas and computing time of concentration and other rainfall-runoff relationship for the designated basins.

scholarly journals Springback Compensation in Cold Forming Process for High Strength Steel / Kompensacja sprężynowania w procesie formowania stali na zimno

2015 ◽  
Vol 60 (4) ◽  
pp. 2471-2478 ◽  
Author(s):  
P. Bałon ◽  
A. Świątoniowski
Keyword(s):  
High Strength Steel ◽  
Early Stage ◽  
High Strength ◽  
Forming Process ◽  
Cold Forming ◽  
Software Application ◽  
High Durability ◽  
High Level ◽  
Short Time ◽  
Ahss Steel

Process of metal forming in automotive parts construction becomes more and more demanding due to tightened up tolerance and trials to realize very complex and in many cases unworkable design in mass production. Moreover it is required to cut and limit costs of die production and simultaneously keep high quality. Furthermore, construction elements are more often produced from materials which belong to High Strength Steel or Ultra High Strength Steel. Application of this kind of materials considerably reduces construction mass due to high durability. Nevertheless, it results in appearance of springback effect. Springback value depends mainly on used material as well as part geometry and in extreme cases deviation value from target part might reach in some areas high level. Reduction of implementation time, development of metal components and greater restrictions about designing and producing stamping tools generate extra costs. Designing of dies requires using of appropriate Finite Element Method software to make them more economic and less time-consuming. Therefore analysis of forming process alone is not enough to be taken into account. During the design process it is needed to include the die compensation to reach optimized blank sheet. Prediction of springback effect by tryout method and then correction of deviation is difficult arduous and painstaking. Virtual compensation methods make it possible to receive precise result in a short time. This way gives a huge economic advantage eliminating useless milling and allows to produce of die just in time. Optimization process can relate to individual operation as well as take into consideration intermediate stages in the final result, at the same time increasing the accuracy. Die compensation with software application was experimentally verified by prototype die. Quality requirements regarding products of sheet stamping process are very high due to the technologies of automatic assembly of formed components. Springback, as the main source of drawpieces inaccuracy, is the function of material data, shape of tools and process parameters. Therefore, springback deformation becomes critical problem especially for AHSS steel when the geometry is complex. Hence, it is necessary not only to find springback effect value but also include it during early stage of designing by tooling designers.

scholarly journals Identification of the Impacts of Climate Changes and Human Activities on Runoff in the Jinsha River Basin, China

2017 ◽  
Vol 2017 ◽  
pp. 1-9 ◽  
Author(s):  
Xiaowan Liu ◽  
Dingzhi Peng ◽  
Zongxue Xu
Keyword(s):  
Water Balance ◽  
River Basin ◽  
Human Activities ◽  
Climate Changes ◽  
Balance Method ◽  
Variation Method ◽  
Rainfall Runoff ◽  
Jinsha River ◽  
Water Balance Method ◽  
Double Mass

Quantifying the impacts of climate changes and human activities on runoff has received extensive attention, especially for the regions with significant elevation difference. The contributions of climate changes and human activities to runoff were analyzed using rainfall-runoff relationship, double mass curve, slope variation, and water balance method during 1961–2010 at the Jinsha River basin, China. Results indicate that runoff at upstream and runoff at midstream are both dominated by climate changes, and the contributions of climate changes to runoff are 63%~72% and 53%~68%, respectively. At downstream, climate changes account for only 13%~18%, and runoff is mainly controlled by human activities, contributing 82%~87%. The availability and stability of results were compared and analyzed in the four methods. Results in slope variation, double mass curve, and water balance method except rainfall-runoff relationship method are of good agreement. And the rainfall-runoff relationship, double mass curve, and slope variation method are all of great stability. The four methods and availability evaluation of them could provide a reference to quantification in the contributions of climate changes and human activities to runoff at similar basins in the future.

scholarly journals APPLICATION OF NEURAL NETWORK TECHNOLOGIES IN THE DENTAL CARIES FORECAST

2020 ◽  
Vol 73 (7) ◽  
pp. 1499-1504
Author(s):  
Oleksandr A. Udod ◽  
Hanna S. Voronina ◽  
Olena Yu. Ivchenkova
Keyword(s):  
Neural Network ◽  
Dental Caries ◽  
Old Patients ◽  
Software Application ◽  
The Neural Network ◽  
Software Product ◽  
High Level ◽  
Network Technologies ◽  
Python Programming ◽  
And Training

The aim: of the work was to develop and apply in the clinical trial a software product for the dental caries prediction based on neural network programming. Materials and methods: Dental examination of 73 persons aged 6-7, 12-15 and 35-44 years was carried out. The data obtained during the survey were used as input for the construction and training of the neural network. The output index was determined by the increase in the intensity of caries, taking into account the number of cavities. To build a neural network, a high-level Python programming language with the NumPay extension was used. Results: The intensity of carious dental lesions was the highest in 35-44 years old patients – 6.69 ± 0.38, in 6-7 years old children and 12-15 years old children it was 3.85 ± 0.27 and 2.15 ± 0.24, respectively (p <0.05). After constructing and training the neural network, 61 true and 12 false predictions were obtained based on these indices, the accuracy of predicting the occurrence of caries was 83.56%. Based on these results, a graphical user interface for the “CariesPro” software application was created. Conclusions: The resulting neural network and the software product based on it permit to predict the development of dental caries in persons of all ages with a probability of 83.56%.

Reality from Fantasy

2010 ◽  
pp. 291-310
Author(s):  
Stephen R. Balzac
Keyword(s):  
Ethical Issues ◽  
Short Time Period ◽  
Time Period ◽  
The Right ◽  
High Level ◽  
Short Time ◽  
To Receive ◽  
Live Action ◽  
Conflicting Goals ◽  
Personal Stake

A major difficulty with teaching ethics is that it is relatively easy for participants to state the “right” thing to do when they have no personal stake in the outcome. One way of dealing with this problem is to teach ethics through engrossing, immersive, predictive scenario games in which players are forced to deal with ethical issues as they arise, where they have a personal stake in the outcome, and where there is not always a clear right answer. Predictive scenario games are a form of serious live-action roleplaying in which participants take on the roles of people involved in complex situations. In these games, knowledge of the game world is distributed among the players through overlapping and conflicting goals, and in which ethical dilemmas emerge naturally, without fanfare, much as they would in the real world. There is a high level of tension between cooperation and competition among the players. This structure creates the opportunity for players to experience the consequences of their own judgment in realistic, ethically fraught situations, to receive feedback, and to engage in constructive discussion, within a relatively short time period.

scholarly journals Assessment of the Cutting Performance of a Robot Mower Using Custom Built Software

Agronomy ◽  
2019 ◽  
Vol 9 (5) ◽  
pp. 230 ◽  
Author(s):  
Luisa Martelloni ◽  
Marco Fontanelli ◽  
Stefano Pieri ◽  
Christian Frasconi ◽  
Lisa Caturegli ◽  
...  
Keyword(s):  
Autonomous Vehicles ◽  
Global Navigation Satellite Systems ◽  
Forward Speed ◽  
Satellite Systems ◽  
Different Shapes ◽  
Global Navigation Satellite ◽  
High Level ◽  
Short Time ◽  
Gnss Data ◽  
Collection And Management

Before the introduction of positioning technologies in agriculture practices such as global navigation satellite systems (GNSS), data collection and management were time-consuming and labor-intensive tasks. Today, due to the introduction of advanced technologies, precise information on the performance of agricultural machines, and smaller autonomous vehicles such as robot mowers, can be collected in a relatively short time. The aim of this work was to track the performance of a robot mower in various turfgrass areas of an equal number of square meters but with four different shapes by using real-time kinematic (RTK)-GNSS devices, and to easily extract data by a custom built software capable of calculating the distance travelled by the robot mower, the forward speed, the cutting area, and the number of intersections of the trajectories. These data were then analyzed in order to provide useful functioning information for manufacturers, entrepreneurs, and practitioners. The path planning of the robot mower was random and the turfgrass area for each of the four shapes was 135 m2 without obstacles. The distance travelled by the robot mower, the mean forward speed, and the intersections of the trajectories were affected by the interaction between the time of cutting and the shape of the turfgrass. For all the different shapes, the whole turfgrass area was completely cut after two hours of mowing. The cutting efficiency decreased by increasing the time, as a consequence of the increase in overlaps. After 75 minutes of cutting, the efficiency was about 35% in all the turfgrass areas shapes, thus indicating a high level of overlapping.

Collaborative Engineering for Enhanced Producibility by Ontology-Based Integration of Design and Production

2009 ◽  
pp. 166-187 ◽  
Author(s):  
Fredrik Elgh ◽  
Staffan Sunnersjö
Keyword(s):  
Engineering Design ◽  
Business Strategy ◽  
Manufacturing Systems ◽  
Critical Issue ◽  
Production Engineering ◽  
Product Systems ◽  
High Level ◽  
Short Time ◽  
Requirement Specifications ◽  
Design And Production

Many companies base their business strategy on customized products with a high level of variety and continuous functional improvements. For companies to be able to provide affordable products in a short time and be at the competitive edge, every new design must be adapted to existing production facilities. In order to ensure this, collaboration between engineering design and production engineering has to be supported. With the dispersed organisations of today combined with the increasing amount of information that has to be shared and managed, this collaboration is a critical issue for many companies. In this article, an approach for sharing and managing product and production information is introduced. The results are based on the experiences from a case study at a car manufacturer. By ontology-based integration, work within domains engineering design, production engineering and requirement management at the company was integrated. The main objectives with the integration were: support the formation of requirement specifications for products and processes, improve and simplify the information retrieval for designers and process planners, ensure traceability from changes in product systems to manufacturing systems and vice versa, and finally, eliminate redundant or multiple versions of requirement specifications.

scholarly journals CMS trigger performance

2018 ◽  
Vol 182 ◽  
pp. 02037
Author(s):  
Silvio Donato
Keyword(s):  
Computing Time ◽  
Track Reconstruction ◽  
Trigger System ◽  
Drastic Reduction ◽  
Event Selection ◽  
Level Trigger ◽  
Reconstruction Software ◽  
Last Stage ◽  
Level 1 ◽  
High Level

During its second run of operation (Run 2), started in 2015, the LHC will deliver a peak instantaneous luminosity that may reach 2 · 1034 cm-2s-1 with an average pileup of about 55, far larger than the design value. Under these conditions, the online event selection is a very challenging task. In CMS, it is realized by a two-level trigger system: the Level-1 (L1) Trigger, implemented in custom-designed electronics, and the High Level Trigger (HLT), a streamlined version of the offine reconstruction software running on a computer farm. In order to face this challenge, the L1 trigger has been through a major upgrade compared to Run 1, whereby all electronic boards of the system have been replaced, allowing more sophisticated algorithms to be run online. Its last stage, the global trigger, is now able to perform complex selections and to compute high-level quantities, like invariant masses. Likewise, the algorithms that run in the HLT have been greatly improved; in particular, new approaches for the online track reconstruction lead to a drastic reduction of the computing time, and to much improved performances. This document will describe the performance of the upgraded trigger system in Run 2.

scholarly journals The Practice Structured on the Discourse: Repertoires and Dominant Discourses in Brazilian Scientific Literature on Agrochemicals

2016 ◽  
Vol 5 (1) ◽  
pp. 109
Author(s):  
Larissa Hery Ito Ribeiro Homem ◽  
Michelle Bonatti ◽  
Luiz Renato D´Agostini ◽  
Marcos Lana ◽  
Stefan Sieber
Keyword(s):  
Food Production ◽  
Historical Perspective ◽  
Scientific Literature ◽  
Scientific Production ◽  
Discursive Practices ◽  
Integrated Pest Control ◽  
High Level ◽  
Chemical Pesticides ◽  
Technical Area

<p>The present work aims to clarify the discursive practices of Brazilian scientific literature on chemical pesticides in order to understand, from a historical perspective, which repertoires are available to give meaning to the use of pesticides in Brazil. It further draws a picture of the positions taken in the technical area, from the creation of the “Agrochemicals Law” in 1989 until the present day. A total of 78 articles from ten journals were reviewed using the analysis of the discourses method as well as an overview of the database according to years, authors, and titles. The results show that scientific production is concentered in the south and southeast Brazilian institutions where the authors mostly come from. Their articles analyze presented repertoires that were categorized into three types: "required use of pesticides", "use of pesticides integrated with biological control”, and "no use of pesticides". The results suggest that there is no consensus in the discursive practices of Brazilian scientific literature on agrochemicals. It was concluded that there is in literature the suggestion that integrated pest control could improve the quality of production and lessen impacts on health and the environment. The dominant discourse is still linked to the paradigm that in order to have a high level of food production it is still necessary to use pesticides.</p>

scholarly journals TheDynamopackage for tomography and subtomogram averaging: components forMATLAB, GPU computing and EC2 Amazon Web Services

2017 ◽  
Vol 73 (6) ◽  
pp. 478-487 ◽  
Author(s):  
Daniel Castaño-Díez
Keyword(s):  
Software Maintenance ◽  
Gpu Computing ◽  
Computing Time ◽  
Three Dimensional ◽  
Middle Layer ◽  
General Purpose ◽  
Single Node ◽  
Subtomogram Averaging ◽  
Particle Extraction ◽  
High Level

Dynamois a package for the processing of tomographic data. As a tool for subtomogram averaging, it includes different alignment and classification strategies. Furthermore, its data-management module allows experiments to be organized in groups of tomograms, while offering specialized three-dimensional tomographic browsers that facilitate visualization, location of regions of interest, modelling and particle extraction in complex geometries. Here, a technical description of the package is presented, focusing on its diverse strategies for optimizing computing performance.Dynamois built upon mbtools (middle layer toolbox), a general-purposeMATLABlibrary for object-oriented scientific programming specifically developed to underpinDynamobut usable as an independent tool. Its structure intertwines a flexibleMATLABcodebase with precompiled C++ functions that carry the burden of numerically intensive operations. The package can be delivered as a precompiled standalone ready for execution without aMATLABlicense. Multicore parallelization on a single node is directly inherited from the high-level parallelization engine provided forMATLAB, automatically imparting a balanced workload among the threads in computationally intense tasks such as alignment and classification, but also in logistic-oriented tasks such as tomogram binning and particle extraction.Dynamosupports the use of graphical processing units (GPUs), yielding considerable speedup factors both for nativeDynamoprocedures (such as the numerically intensive subtomogram alignment) and procedures defined by the user through itsMATLAB-based GPU library for three-dimensional operations. Cloud-based virtual computing environments supplied with a pre-installed version ofDynamocan be publicly accessed through the Amazon Elastic Compute Cloud (EC2), enabling users to rent GPU computing time on a pay-as-you-go basis, thus avoiding upfront investments in hardware and longterm software maintenance.

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