Efficiency analysis of Unity3D engine in terms of particle simulation

Journal of Computer Sciences Institute ◽

10.35784/jcsi.594 ◽

2017 ◽

Vol 3 ◽

pp. 59-63

Author(s):

Mateusz Walczyna ◽

Małgorzata Plechawska-Wójcik

Keyword(s):

Particle Shape ◽

Particle System ◽

Efficiency Analysis ◽

Particle Simulation ◽

Application Performance ◽

C Language ◽

Unity 3D ◽

Shape Sphere ◽

Simulation Parameters ◽

The Impact

This document reviews research in efficiency analysys of particles created by Unity 3D built-in particle system compared to those created via sctript written in C# language. Author focused his research on examining the impact of the various tasks on the speed of rendering frames, a difference which occur during the generation of particle by particle system and those generated by a script, and how influential is the complexity of the mesh particles generated on the application performance. For this purpose, using Unity3D, Microsoft Visual Studio and Blender, an applications for computers that are ruunniong on Windows system was created, application allows to adjust the simulation parameters (the number of generated particles, particle shape - sphere, cube).

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Study on the Operation Model of Colleges Network Learning Propaganda and Public Opinion Guidance Based on the Internet

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.380-384.2104 ◽

2013 ◽

Vol 380-384 ◽

pp. 2104-2108

Author(s):

Chen Liang Li ◽

Ming Xia Zhu

Keyword(s):

Public Opinion ◽

Information Science ◽

Internet Technology ◽

The Internet ◽

C Language ◽

Network Learning ◽

Maximum Value ◽

Network Transmission ◽

The Impact ◽

Important Significance

With the development of computer information science and technology, Internet has a large number of network propaganda and public opinion page every day. Through the network micro message and the micro-blog forwarding, network propaganda and public opinion have the impact on the development and stability of colleges, so the study network propaganda and public opinion has important significance for the development of colleges. Under this background, based on the computer Internet technology, the Internet erection of network propaganda guidance mode are analyzed, and compared with the fuzzy minimum production tree theory and the C language software, the network construction is verified. Finally the iterative process of finding the network transmission is relatively stable, after 800 iterative steps, numerical is slowly increasing, in which the maximum value is about 0.0001. The seven school propaganda is been as the minimum spanning of tree main network, its sum of weighted has been up to 1606.

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Numerical modeling and analysis of the noncontacting impulse gas face seals

Proceedings of the Institution of Mechanical Engineers Part J Journal of Engineering Tribology ◽

10.1177/1350650118817188 ◽

2018 ◽

Vol 233 (8) ◽

pp. 1139-1153

Author(s):

Slawomir Blasiak

Keyword(s):

Computer Software ◽

Surface Modifications ◽

Mechanical Seals ◽

Face Surface ◽

Modeling And Analysis ◽

C Language ◽

Model Studies ◽

Face Seals ◽

Radial Gap ◽

The Impact

Noncontacting mechanical seals with various kinds of face surface modifications have established their position in the sealing technique. Over the last few years, a lot of works dedicated to the impact of various surface modifications on the dynamics of working rings have been created. This paper presents model studies regarding relatively unknown noncontacting impulse gas face seals. Here, a mathematical model of impulse gas face seals is developed including the nonlinear Reynolds equation and stator dynamics equations, which were solved simultaneously using numerical methods. An original computer software written in C + + language was developed. A number of numerical tests were conducted and the phenomena occurring in the radial gap during seal operation were analyzed. Final conclusions were drawn and several features were indicated characterizing impulse face seals. It should be emphasized that numerical research on this type of seals has not been published yet. The literature usually presents simplified models for the noncompressible medium, which can be solved with the use of analytical methods.

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The impact of particle shape on friction angle and resulting critical shear stress: an example from a coarse-grained, steep, megatidal beach

Earth Surface Dynamics Discussions ◽

10.5194/esurfd-1-1187-2013 ◽

2013 ◽

Vol 1 (1) ◽

pp. 1187-1208 ◽

Cited By ~ 1

Author(s):

N. Stark ◽

A. E. Hay ◽

R. Cheel ◽

C. B. Lake

Keyword(s):

Shear Stress ◽

Particle Motion ◽

Particle Shape ◽

Critical Shear Stress ◽

Friction Angle ◽

Sediment Dynamics ◽

Tidal Range ◽

Strong Increase ◽

Elliptic Plate ◽

The Impact

Abstract. The impact of particle shape on the friction angle, and the resulting critical shear stress on sediment dynamics, is still poorly understood. In areas characterized by sediments of specific shape, particularly non-rounded particles, this can lead to large departures from the expected sediment dynamics. The steep slope (1:10) of the mixed sand-gravel beach at Advocate Harbour was found stable in large-scale morphology over decades, despite a high tidal range of ten meters or more, and strong shorebreak action during storms. The Advocate sand (d < 2 mm) was found to have an elliptic, plate-like shape. Exceptionally high friction angles of the material were determined using direct shear, ranging from φ &approx; 41–46°, while the round to angular gravel was characterized by φ = 33°. The addition of 25% of the elliptic sand to the gravel led to an immediate increase of the friction angle to φ = 38°. Furthermore, re-organization of the particles occurred during shearing, being characterized by a short phase of settling and compaction, followed by a pronounced strong dilatory behavior and an accompanying strong increase of shear stress. Long-term shearing (24 h) using a ring shear apparatus led to destruction of the particles without re-compaction. Finally, submerged particle mobilization was simulated using a tilted tray in a tank. Despite a smooth tray surface, particle motion was not initiated until reaching tray tilt angles of 31° and more, being 7° steeper than the latest gravel motion initiation. In conclusion, geotechnical laboratory experiments quantified the important impact of the elliptic, plate-like shape of Advocate Beach sand on the friction angles of both pure sand and sand-gravel mixtures. The resulting effect on initiation of particle motion was confirmed in tilting tray experiments. This makes it a vivid example of how particle shape can contribute to the stabilization of the beachface.

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Scalability and Performance Management of Internet Applications in the Cloud

Advances in Systems Analysis, Software Engineering, and High Performance Computing - Communication Infrastructures for Cloud Computing ◽

10.4018/978-1-4666-4522-6.ch019 ◽

2013 ◽

pp. 434-464

Author(s):

Wesam Dawoud ◽

Ibrahim Takouna ◽

Christoph Meinel

Keyword(s):

Performance Management ◽

Resource Provisioning ◽

Infrastructure As A Service ◽

Internet Applications ◽

Application Performance ◽

Total Cost ◽

On Demand ◽

And Performance ◽

The Impact

Elasticity and on-demand are significant characteristics that attract many customers to host their Internet applications in the cloud. They allow quick reacting to changing application needs by adding or releasing resources responding to the actual rather than to the projected demand. Nevertheless, neglecting the overhead of acquiring resources, which mainly is attributed to networking overhead, can result in periods of under-provisioning, leading to degrading the application performance. In this chapter, the authors study the possibility of mitigating the impact of resource provisioning overhead. They direct the study to an Infrastructure as a Service (IaaS) provisioning model where application scalability is the customer’s responsibility. The research shows that understanding the application utilization models and a proper tuning of the scalability parameters can optimize the total cost and mitigate the impact of the overhead of acquiring resources on-demand.

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Intelligent and efficient? An empirical analysis of human–AI collaboration for truck drivers in retail logistics

The International Journal of Logistics Management ◽

10.1108/ijlm-03-2020-0149 ◽

2021 ◽

Vol ahead-of-print (ahead-of-print) ◽

Author(s):

Dominic Loske ◽

Matthias Klumpp

Keyword(s):

Technology Use ◽

Econometric Model ◽

Efficiency Analysis ◽

Truck Drivers ◽

Behavioural Intention ◽

Transport Sector ◽

Intention To Use ◽

Content Type ◽

Behavioural Aspects ◽

The Impact

PurposeTechnological advances regarding artificial intelligence (AI) are affecting the transport sector. Although fully autonomous delivery, or self-driving trucks, are not operating currently, various AI applications have become fixed components of cargo vehicles. Since many research approaches primarily concentrate on the technical aspects of assistance systems (ASs), the economic question of how to improve efficiency is seldom addressed. Therefore, the purpose of this paper is to apply an efficiency analysis to measure the performance of truck drivers supplying retail stores.Design/methodology/approachFor this comparative study, 90 professional truck drivers in three groups are compared with (1) trucks without AS, (2) trucks with AS that cannot be turned off and (3) trucks with AS that can be turned off. First, we build a model investigating the impact of performance expectation, effort expectation, social influence and facilitating conditions on the behavioural intention to use AS. Second, we explore the impact of truck drivers' behavioural intention on actual technology use, misuse and disuse; operationalize these constructs; and merge them with our behavioural constructs to create one econometric model.FindingsThe human–AI system was found to be the most efficient. Additionally, behavioural intention to use ASs did not lead to actual usage in the AI-alone observation group, but did in the human–AI group. Several in-depth analyses showed that the AI-alone group used AS at a higher level than the human–AI group, but manipulations through, for example, kickdowns or manual break operations led to conscious overriding of the cruise control system and, consequently, to higher diesel consumption, higher variable costs and lower efficiency of transport logistical operations.Research limitations/implicationsEfficiency analysis with data envelopment analysis is, by design, limited by the applied input and output factors.Originality/valueThis study represents one of the first quantitative efficiency analyses of the impact of digitalization on transport performance (i.e. truck driver efficiency). Furthermore, we build an econometric model combining behavioural aspects with actual technology usage in a real application scenario.

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Innovative Method for Efficient Real Time Online Well Monitoring to Enhance Crew Respond Time in Marginal Field

10.2118/205795-ms ◽

2021 ◽

Author(s):

Dias Anugrah Massewa ◽

Muhammad Rifaat ◽

Ferdyan Ihza Akbar ◽

Rahmanda Fadri ◽

Denny Mulia Akbar ◽

...

Keyword(s):

Real Time ◽

Human Error ◽

Smart Phone ◽

Wide Field ◽

C Language ◽

Measurement Tools ◽

Production Crew ◽

Marginal Field ◽

The Impact ◽

Smart Phone Application

Abstract Previously, well monitoring in Siak block relied on production crew scheduled tour that needed six hours to complete one cycle of all wells in Lindai field. This paper describes the utilization of digital technology to observe well parameters while sending notification if there is any anomaly regarding those parameters through smart phone application or website. Smart microcontroller was installed in wellhead panel and three sensors are mounted in desired point around wellhead to perform online Intelligent Well Monitoring (IWM) for well’s parameters. If abnormality occurs, real time notification would be sent to user’s smart phone application or website by using global mobile communication system (GSM) signal. The parameters monitored were pressure, temperature, and load because they are essential to be analyzed as initial diagnosis of well problem. Based on the readings, production team could quickly perform troubleshooting to prevent loss production opportunity (LPO). The programming of this smart microcontroller used C language as data compiler. This method was tested in one of the wells in Lindai field, which has the highest oil production. After three months of surveillance, in terms of data quality, the values shown by this tool had only five percent differences compared to manual survey using calibrated measurement tools. Additionally, the parameters could be monitored online, real time, and gave the notification directly to users should there be any issues. Moreover, this tool could reduce the response time of the field crew significantly from six hours following the conventional field tour to only in five minutes by relying on real time notification. In addition, the operational cost of this tool was 82% cheaper compared to other well-known online monitoring tool available in the market so it is considered economical. In the long term, this tool will be implemented on all wells in Siak block for integrated real time monitoring. Furthermore, the impact of field scale implementation will be much greater such as increasing data accuracy by eliminating human error from manual well checking and improving safety of the crew by reducing the possibility of fatigue. The utilization of smart microcontroller for online well monitoring is beneficial for marginal field with high number of wells and wide field coverage. Earlier, real time well monitoring is usually considered expensive investment that rarely become priority. However, the implementation of IoT (Internet of Things) by using this tool can be the game changer in marginal field and maximize the well’s production by reducing LPO.

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Hydrodynamic and frictional modulation of deformations in switchable colloidal crystallites

Proceedings of the National Academy of Sciences ◽

10.1073/pnas.1921805117 ◽

2020 ◽

Vol 117 (23) ◽

pp. 12700-12706

Author(s):

Young Ki Lee ◽

Xiaoguai Li ◽

Paris Perdikaris ◽

John C. Crocker ◽

Celia Reina ◽

...

Keyword(s):

Principal Component Analysis ◽

Diffusion Coefficients ◽

Particle Shape ◽

Colloidal Crystals ◽

Principal Component ◽

Nucleation And Growth ◽

Spherically Symmetric ◽

Dynamical Models ◽

Micrometer Scale ◽

The Impact

Displacive transformations in colloidal crystals may offer a pathway for increasing the diversity of accessible configurations without the need to engineer particle shape or interaction complexity. To date, binary crystals composed of spherically symmetric particles at specific size ratios have been formed that exhibit floppiness and facile routes for transformation into more rigid structures that are otherwise not accessible by direct nucleation and growth. There is evidence that such transformations, at least at the micrometer scale, are kinetically influenced by concomitant solvent motion that effectively induces hydrodynamic correlations between particles. Here, we study quantitatively the impact of such interactions on the transformation of binary bcc-CsCl analog crystals into close-packed configurations. We first employ principal-component analysis to stratify the explorations of a bcc-CsCl crystallite into orthogonal directions according to displacement. We then compute diffusion coefficients along the different directions using several dynamical models and find that hydrodynamic correlations, depending on their range, can either enhance or dampen collective particle motions. These two distinct effects work synergistically to bias crystallite deformations toward a subset of the available outcomes.

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Performance Analysis of NoSQL and Relational Databases with CouchDB and MySQL for Application’s Data Storage

Applied Sciences ◽

10.3390/app10238524 ◽

2020 ◽

Vol 10 (23) ◽

pp. 8524

Author(s):

Cornelia A. Győrödi ◽

Diana V. Dumşe-Burescu ◽

Doina R. Zmaranda ◽

Robert Ş. Győrödi ◽

Gianina A. Gabor ◽

...

Keyword(s):

Big Data ◽

Data Storage ◽

Relational Databases ◽

Database Systems ◽

Application Performance ◽

Big Data Applications ◽

Database Technology ◽

Important Challenge ◽

Big Data Application ◽

The Impact

In the current context of emerging several types of database systems (relational and non-relational), choosing the type and database system for storing large amounts of data in today’s big data applications has become an important challenge. In this paper, we aimed to provide a comparative evaluation of two popular open-source database management systems (DBMSs): MySQL as a relational DBMS and, more recently, as a non-relational DBMS, and CouchDB as a non-relational DBMS. This comparison was based on performance evaluation of CRUD (CREATE, READ, UPDATE, DELETE) operations for different amounts of data to show how these two databases could be modeled and used in an application and highlight the differences in the response time and complexity. The main objective of the paper was to make a comparative analysis of the impact that each specific DBMS has on application performance when carrying out CRUD requests. To perform the analysis and to ensure the consistency of tests, two similar applications were developed in Java, one using MySQL and the other one using CouchDB database; these applications were further used to evaluate the time responses for each database technology on the same CRUD operations on the database. Finally, a comprehensive discussion based on the results of the analysis was performed that centered on the results obtained and several conclusions were revealed. Advantages and drawbacks for each DBMS are outlined to support a decision for choosing a specific type of DBMS that could be used in a big data application.

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