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Journal articles on the topic 'Static and dynamic methods'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

Zhou, Chang Jiang, Si Yu Chen, and Lin Ma. "Analysis of Gear Strength by Static and Dynamic Finite Element Methods." Applied Mechanics and Materials 846 (July 2016): 318–24. http://dx.doi.org/10.4028/www.scientific.net/amm.846.318.

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As key factor of numerical simulation for gear strength, namely determination of effective loads between meshing teeth profiles, their numerical calculation principles of static and dynamic finite element methods are analyzed according to the loads on gear teeth. The static analysis of gear strength can be classified to effective statics and static contact analysis, and the numerical simulation method for face distribution as the rule of Hertz contact is advanced. The differences between static and dynamic contact and their influences in results are researched. Compared with the empirical formulas, the analytical results about bearing capacity of gear drive under different effective loads show: (1) As the sequence of concentrated force, linear distribution force, face distribution force as the rule of Hertz contact, static contact analysis, the accuracy and reliability of calculating results under different effective loads are improved, especially the results from face distribution and static contact being very close. (2) Dynamic contact analysis can be used to simulated the effect well. The above studies could be referenced to calculation in bearing capacity of gear drive.

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2

Al-Radi, Helal, Khalil Al-Bukhaiti, and Jiang Liang Wei. "Comparison between Static and Dynamic Laboratory Compaction Methods." Journal of Engineering and Applied Sciences 1, no. 1 (April 5, 2018): 34–48. http://dx.doi.org/10.22496/jeas.v1i1.111.

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3

SCHIFFER, Wilfried. "Advanced methods for static and dynamic shafting calculations." Journal of The Japan Institute of Marine Engineering 41 (2006): 115–22. http://dx.doi.org/10.5988/jime.41.si_115.

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4

Tsoi, Ah Chung, and Andrew Back. "Static and Dynamic Preprocessing Methods in Neural Networks." IFAC Proceedings Volumes 27, no. 16 (December 1994): 153–60. http://dx.doi.org/10.1016/s1474-6670(17)45725-9.

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5

Tsoi, Ah Chung, and Andrew Back. "Static and dynamic preprocessing methods in neural networks." Engineering Applications of Artificial Intelligence 8, no. 6 (December 1995): 633–42. http://dx.doi.org/10.1016/0952-1976(95)00047-x.

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6

Wieringa, R. J. "Combining Static and Dynamic Modelling Methods: A Comparison of Four Methods." Computer Journal 38, no. 1 (January 1, 1995): 17–30. http://dx.doi.org/10.1093/comjnl/38.1.17.

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7

BOSIKOV, Igor, Roman KLYUEV, Valery KHETAGUROV, and Iskandar AZHMUKHAMEDOV. "DEVELOPMENT OF METHODS AND MANAGEMENT TOOLS AEROGASDYNAMICS PROCESSES AT MINING SITES." Sustainable Development of Mountain Territories 13, no. 1 (March 27, 2021): 77–83. http://dx.doi.org/10.21177/1998-4502-2021-13-1-77-83.

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The practical development of the algorithm for optimal control of mine ventilation was preceded by comprehensive studies of the specific features of mining sites in order to obtain their mathematical description. The latter includes the static and dynamic characteristics of objects, i.e. the relationship between input and output values. The purpose of the research: to develop methods and management tools aerogasdynamics processes on mining sites of coalmines. Research methods. The methodology based on the system approach; modern methods of mathematical statistics, decision theory; mathematical logic devices; factor analysis; mathematical modeling; set theory and system analysis. To determine the dynamic characteristics of aerogasodynamic processes, experimental methods were used, divided into active and passive. The active method consists in con-structing a dynamic model of airing objects by approximating the transition curve obtained because of special effects on the airing object with an analytical expression. Statistical dynamics methods were used to obtain dynamic characteristics based on normal operation data. The method of correlation analysis was used. Results of research: experimental verification showed that the maximum relative error of in determining the methane concentration from the static characteristic constructed using a modified technique does not exceed 10 %. The value of the error was determined by comparing the static characteristic obtained by the modified correlation analysis method with the exact static characteristic of the airing object. The latter were found with regard to dynamic properties of the object and additive structures aerogas dynamics processes. Conclusion. The method of correlation analysis can be used to determine the dependence of the methane flow rate on the airflow rate in the steady-state mode, i.e. the static characteristic q = f (Q) for the site and lava. To determine the static characteristics based on the data of normal operation with a limited observation interval (5-10 days), a modified method of correlation analysis is proposed. Small values of the relative error of indicate the possibility and feasibility of using a modified correlation analysis technique to construct a static characteristic of the airing object based on random processes of methane concentration and air flow obtained during normal operation of the site. The static characteristics C= f (Q) and q= f(Q) are widely used to determine the mathematical expectations of the methane concentration and flow rate of mining sites, in the modeling of ventilation facilities and in the analysis and synthesis of mine ventilation control systems.

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Nishioka, Toshihisa. "Hybrid numerical methods in static and dynamic fracture mechanics." Optics and Lasers in Engineering 32, no. 3 (September 1999): 205–55. http://dx.doi.org/10.1016/s0143-8166(99)00054-8.

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9

Gupta, V., J. Newell, O. Storaasli, M. Baddourah, and S. Bostic. "Space station static and dynamic analyses using parallel methods." Computing Systems in Engineering 4, no. 4-6 (August 1993): 387–98. http://dx.doi.org/10.1016/0956-0521(93)90007-j.

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Belytschko, T., Y. Y. Lu, L. Gu, and M. Tabbara. "Element-free galerkin methods for static and dynamic fracture." International Journal of Solids and Structures 32, no. 17-18 (September 1995): 2547–70. http://dx.doi.org/10.1016/0020-7683(94)00282-2.

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11

Lisowski, Józef. "Optimization Methods in Maritime Transport and Logistics." Polish Maritime Research 25, no. 4 (December 1, 2018): 30–38. http://dx.doi.org/10.2478/pomr-2018-0129.

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Abstract The purpose of the article is to present the goal of optimization of transport and logistics processes, followed by literature review in the field of optimization methods. The optimization methods were categorized and the most commonly used methods were listed. The tasks of static and dynamic optimization were formulated. An example of the single-criterion static and dynamic optimization and multi-criteria game optimization are given.

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12

Wu, Xiao Hong, Lin Wang, Zhan Lun Cao, and Zhi Jun Yang. "The Topology Optimization Methods on Quasi-Static Structural." Advanced Materials Research 204-210 (February 2011): 1441–45. http://dx.doi.org/10.4028/www.scientific.net/amr.204-210.1441.

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Quasi-static structure in each configuration and load conditions may be static stiffness or frequency of a special vibration mode can be optimized to meet the design requirements. Considering the size disparity in stiffness and load conditions, the unit strain energy density as the unit of sensitivity is proposed as the basis of cell properties to modify the sensitivity of the dimensionless mixing measure, and use the evolutionary algorithm with recovery function, calculation will be simple and implement easily in the large-scale finite element software, and can quickly reach optimal goals. Meanwhile, the proposed calculation eigenvalue sensitivity of unit and sensitivity synthesis method can also be taken into account static sensitivity and dynamic sensitivity to meet the dynamic performance requirements.

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13

Shermergor, T. D. "Statistical Methods for Property Calculation of Textured Materials." Textures and Microstructures 25, no. 2-4 (January 1, 1996): 251–62. http://dx.doi.org/10.1155/tsm.25.251.

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Statistical methods for calculating the effective static and dynamic characteristics of textured microheterogeneous materials such as polycrystals, composites and rocks are considered. Effective static characteristics based on the example of the elastic modules tensor are analyzed. Effective dynamic characteristics based on the example of the dielectric permeability tensor in calculating the scattering factor, phase and group velocities of the propagation of plane electromagnetic waves are presented.

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14

Xu, Hua Dong, and Li Hai Wang. "Comparative Study on Four Different Methods for Measuring the Dynamic Modulus of Elasticity of Acer Mono Wood." Advanced Materials Research 160-162 (November 2010): 384–88. http://dx.doi.org/10.4028/www.scientific.net/amr.160-162.384.

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The dynamic modulus of elasticity (MOE) of forty one small Acer mono clear wood specimens was tested via stress wave, ultrasonic wave, edgewise vibration and flatwise vibration method respectively in laboratory. Then the static MOE of these specimens was measured with static bending test. The correlations between dynamic and static MOE were analyzed using linear regression method, and the difference of various methods was discussed using paired t test. The results show that the dynamic MOE of wood measured by four methods described above are higher than the static MOE, but their linear correlation is significantly strong. Thus, it is feasible to estimate static MOE using these four methods. Additionally, the mean of paired difference between static MOE and dynamic MOE tested by flatwise vibration method is least, and the correlation highest. Therefore, it is better to use flatwise vibration method to estimate static MOE of wood.

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Briaud, Jean-Louis, Marc Ballouz, and George Nasr. "Static Capacity Prediction by Dynamic Methods for Three Bored Piles." Journal of Geotechnical and Geoenvironmental Engineering 126, no. 7 (July 2000): 640–49. http://dx.doi.org/10.1061/(asce)1090-0241(2000)126:7(640).

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Fellenius, Bengt H., Michael D. Justason, and Bengt H. Fellenius. "Static Capacity Prediction by Dynamic Methods for Three Bored Piles." Journal of Geotechnical and Geoenvironmental Engineering 127, no. 12 (December 2001): 1078–84. http://dx.doi.org/10.1061/(asce)1090-0241(2001)127:12(1078).

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Arlabosse, P., E. Rodier, J. H. Ferrasse, S. Chavez, and D. Lecomte. "Comparison Between Static and Dynamic Methods for Sorption Isotherm Measurements." Drying Technology 21, no. 3 (January 5, 2003): 479–97. http://dx.doi.org/10.1081/drt-120018458.

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Moresi, Mauro, and Maria Bruno. "Characterisation of alginate gels using quasi-static and dynamic methods." Journal of Food Engineering 82, no. 3 (October 2007): 298–309. http://dx.doi.org/10.1016/j.jfoodeng.2007.02.040.

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19

Huang, Ko-Hsun, Yi-Shin Deng, and Ming-Chuen Chuang. "Static and Dynamic User Portraits." Advances in Human-Computer Interaction 2012 (2012): 1–16. http://dx.doi.org/10.1155/2012/123725.

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User modeling and profiling has been used to evaluate systems and predict user behaviors for a considerable time. Models and profiles are generally constructed based on studies of users’ behavior patterns, cognitive characteristics, or demographic data and provide an efficient way to present users’ preferences and interests. However, such modeling focuses on users’ interactions with a system and cannot support complicated social interaction, which is the emerging focus of serious games, educational hypermedia systems, experience, and service design. On the other hand, personas are used to portray and represent different groups and types of users and help designers propose suitable solutions in iterative design processes. However, clear guidelines and research approaches for developing useful personas for large-scale and complex social networks have not been well established. In this research, we reflect on three different design studies related to social interaction, experience, and cross-platform service design to discuss multiple ways of identifying both direct users and invisible users in design research. In addition, research methods and attributes to portray users are discussed.

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., Kavita, and Manoj K. Sabnis. "A Comparative Approach for Standard Shadow Detection Methods." International Journal of Emerging Research in Management and Technology 6, no. 8 (June 25, 2018): 302. http://dx.doi.org/10.23956/ijermt.v6i8.156.

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False tracking is the biggest problem identified in tracking. The reasons for this is identified as shadow of the object to be tracked which have their shape mapping to the shape of the object. Dynamic shadow detection is the field in which videos are used. Dynamic shadow detection is found to be more exposed in literature due to the possibility of comparison, frame differentiation, background subtraction. All this not being possible in case of static images as they represent a single frame and are not used to that extent. Taking this as a challenge this paper presents static shadow detection in which the static shadow detection methods are mapped with dynamic images within the domain of image processing.The results so obtained are then authenticated from the user side. Every user may have different views, so as to bring the evaluation at a standard level this qualitative evaluation is quantified so as to be represented in form of tables and graphs for further analysis.

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Marra, Fabio Della. "A forecasting performance comparison of dynamic factor models based on static and dynamic methods." Communications in Applied and Industrial Mathematics 8, no. 1 (March 28, 2017): 43–66. http://dx.doi.org/10.1515/caim-2017-0003.

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Abstract We present a comparison of the forecasting performances of three Dynamic Factor Models on a large monthly data panel of macroeconomic and financial time series for the UE economy. The first model relies on static principal-component and was introduced by Stock and Watson (2002a, b). The second is based on generalized principal components and it was introduced by Forni, Hallin, Lippi and Reichlin (2000, 2005). The last model has been recently proposed by Forni, Hallin, Lippi and Zaffaroni (2015, 2016). The data panel is split into two parts: the calibration sample, from February 1986 to December 2000, is used to select the most performing specification for each class of models in a in- sample environment, and the proper sample, from January 2001 to November 2015, is used to compare the performances of the selected models in an out-of-sample environment. The metholodogical approach is analogous to Forni, Giovannelli, Lippi and Soccorsi (2016), but also the size of the rolling window is empirically estimated in the calibration process to achieve more robustness. We find that, on the proper sample, the last model is the most performing for the Inflation. However, mixed evidencies appear over the proper sample for the Industrial Production.

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Yang, Jun Ru, Zhao Qian Li, and Chuan Zhen Huang. "Overview on Measuring Methods of Bond Strength of Cladding Material." Materials Science Forum 471-472 (December 2004): 630–33. http://dx.doi.org/10.4028/www.scientific.net/msf.471-472.630.

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Bond strength is a key property to evaluate quality of cladding layer. According to the thickness of the cladding, surface cladding layer can be classified into two categories: thick and thin layer. The later is usually called thin film. Bond strength includes static and dynamic bond strength. As to thick cladding layer, main measuring methods of static bond strength are sticking extension method, interfacial indentation method, shearing method, fracture mechanics method. Contact fatigue method is the main measuring method of dynamic bond strength. As to thin film, main measuring methods of static bond strength are extension method, scratching method, indentation method, scraping method, bulge blister method, laser spallation method and so on. The main measuring methods of dynamic bond strength are facing contact rolling method and ball contact rolling method. The paper made overview on all above methods.

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23

Rizzini, Mattia, Chris Fawcett, Mauro Vallati, Alfonso E. Gerevini, and Holger H. Hoos. "Static and Dynamic Portfolio Methods for Optimal Planning: An Empirical Analysis." International Journal on Artificial Intelligence Tools 26, no. 01 (February 2017): 1760006. http://dx.doi.org/10.1142/s0218213017600065.

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Combining the complementary strengths of several algorithms through portfolio approaches has been demonstrated to be effective in solving a wide range of AI problems. Notably, portfolio techniques have been prominently applied to suboptimal (satisficing) AI planning. Here, we consider the construction of sequential planner portfolios for domainindependent optimal planning. Specifically, we introduce four techniques (three of which are dynamic) for per-instance planner schedule generation using problem instance features, and investigate the usefulness of a range of static and dynamic techniques for combining planners. Our extensive empirical analysis demonstrates the benefits of using static and dynamic sequential portfolios for optimal planning, and provides insights on the most suitable conditions for their fruitful exploitation.

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Wadhwa, Pooja, and M. P. S. Bhatia. "Community Detection Approaches in Real World Networks." International Journal of Virtual Communities and Social Networking 6, no. 1 (January 2014): 35–51. http://dx.doi.org/10.4018/ijvcsn.2014010103.

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Online social networks have been continuously evolving and one of their prominent features is the evolution of communities which can be characterized as a group of people who share a common relationship among themselves. Earlier studies on social network analysis focused on static network structures rather than dynamic processes, however, with the passage of time, the networks have also evolved and the researchers have started to focus on the aspect of studying dynamic behavior of networks. This paper aims to present an overview of community detection approaches graduating from static community detection methods towards the methods to identify dynamic communities in networks. The authors also present a classification of the existing dynamic community detection algorithms along the dimension of studying the evolution as either a two-step approach comprising of community detection via static methods and then applying temporal dynamics or a unified approach which comprises of dynamic detection of communities along with their evolutionary characteristics.

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Li, Hui, Chi Dong, Hongwei Yu, Xin Zhao, Yan Li, Lele Cao, and Ming Qu. "Static and Dynamic Mechanical Properties of Organic-Rich Gas Shale." Geofluids 2021 (April 11, 2021): 1–9. http://dx.doi.org/10.1155/2021/6695975.

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Rock mechanical properties are critical for drilling, wellbore stability, and well stimulation. There are usually two laboratory methods to determine rock mechanical properties: static compression tests and acoustic velocity measurements. Rocks are heterogeneous, so there are significant differences between static elastic constants and the corresponding dynamic ones. Usually, static test results are more representative than dynamic methods but the static tests are time consuming and costly. Dynamic methods are nondestructive and less expensive, which are practical in the laboratory and field. In this paper, we compare the static and dynamic elastic properties of Eagle Ford Shale by triaxial compressive tests and ultrasonic velocity tests. Correlations between static and dynamic elastic properties are developed. Conversion from dynamic mechanical properties to static mechanical properties is established for better estimating reservoir mechanical properties. To better understand the relationship of static and dynamic mechanical properties, 30 Eagle Ford Shale samples were tested. According to the test results, the dynamic properties are considerably different from the static counterparts. For all tested samples, static Young’s modulus is lower than dynamic Young’s modulus, ranging from 55% to 90%. The difference of the static and dynamic Young’s moduli decreases with the increasing of confining pressure. The reason may be because the microcracks closed in high confining pressure. Correlations between static and dynamic Young’s modulus are developed by regression analysis, which are crucial to understand the rock mechanical properties and forecast reservoir performance when direct measurement of static mechanical properties is not available or expensive. There are no strong correlations between static and dynamic Poisson’s ratios observed for the tested samples. Two potentially major reasons for the discrepancy of the static and dynamic properties of Eagle Ford Shale are discussed. Lithology and heterogeneity may be the inherent reasons, and external causes are probably the difference in strain amplitude and frequency.

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Chen, Xiao Huai, Z. Y. Cheng, and Ye Tai Fei. "Research on Measurement Uncertainty Evaluation Methods Based on Bayesian Principle." Key Engineering Materials 381-382 (June 2008): 583–86. http://dx.doi.org/10.4028/www.scientific.net/kem.381-382.583.

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In current application of measurement uncertainty evaluation, dynamic uncertainty evaluation simply uses the static uncertainty methods. To change the situation, a new evaluation method of measurement uncertainty is investigated based on Bayesian principle in this paper. Bayesian evaluation method uses conjugate normal-inverted gamma distribution as the distribution function in uncertainty evaluation, which can be employed to evaluate both static and dynamic measurement uncertainty. The evaluation method put forward in this paper can achieve higher evaluation accuracy than the conventional methods, particularly in processing dynamic data with small samples. It has been proved in theory and by computer simulation.

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Amiri-Khorasani, Mohammadtaghi, Julio Calleja-Gonzalez, and Mansooreh Mogharabi-Manzari. "Acute Effect of Different Combined Stretching Methods on Acceleration and Speed in Soccer Players." Journal of Human Kinetics 50, no. 1 (April 1, 2016): 179–86. http://dx.doi.org/10.1515/hukin-2015-0154.

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AbstractThe purpose of this study was to investigate the acute effect of different stretching methods, during a warm-up, on the acceleration and speed of soccer players. The acceleration performance of 20 collegiate soccer players (body height: 177.25 ± 5.31 cm; body mass: 65.10 ± 5.62 kg; age: 16.85 ± 0.87 years; BMI: 20.70 ± 5.54; experience: 8.46 ± 1.49 years) was evaluated after different warm-up procedures, using 10 and 20 m tests. Subjects performed five types of a warm-up: static, dynamic, combined static + dynamic, combined dynamic + static, and no-stretching. Subjects were divided into five groups. Each group performed five different warm-up protocols in five non-consecutive days. The warm-up protocol used for each group was randomly assigned. The protocols consisted of 4 min jogging, a 1 min stretching program (except for the no-stretching protocol), and 2 min rest periods, followed by the 10 and 20 m sprint test, on the same day. The current findings showed significant differences in the 10 and 20 m tests after dynamic stretching compared with static, combined, and no-stretching protocols. There were also significant differences between the combined stretching compared with static and no-stretching protocols. We concluded that soccer players performed better with respect to acceleration and speed, after dynamic and combined stretching, as they were able to produce more force for a faster execution.

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Nyhuis, Friedhelm, and Néocles Alves Pereira Filho. "Methods and tools for dynamic capacity planning and control." Gestão & Produção 9, no. 3 (December 2002): 245–60. http://dx.doi.org/10.1590/s0104-530x2002000300004.

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This article discusses material flow management. More specifically, it presents methods and tools used for capacity dynamic planning and control. Such resourses are focused on the reduction or elimination of static and dynamic bottlenecks. Practical applications are made using the FAST/pro, a software which associates the concepts presented through a demand-orientated, capacity dynamic regulation.

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dos Santos, João P. Lam, Pedro M. Amaral, António Correia Diogo, and Luís Guerra Rosa. "Comparison of Young’s Moduli of Engineered Stones Using Different Test Methods." Key Engineering Materials 548 (April 2013): 220–30. http://dx.doi.org/10.4028/www.scientific.net/kem.548.220.

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This work reports the results of Young’s modulus of elasticity obtained for 3 types of engineered stones. Using parallelepiped specimens with dimensions 150  30  20 mm3, Young’s modulus is determined by different methods: static and dynamic. Via quasi-static deformation tests: - uniaxial tension, - uniaxial compression, and, - pure bending (i.e. symmetrical four-point bending), determination of Young’s modulus was carried out by means of the conventional electric-resistance extensometry with strain-gauge strips glued to the specimens. The results obtained from these quasi-static deformation tests are compared with the results of dynamic Young’s modulus obtained with RFDA equipment (Resonant Frequency & Damping Analyser) using the parallelepiped specimens in a flexural vibration mode. Dynamic Young’s modulus was also evaluated through measurements of ultrasonic pulses velocity. Composition and microstructures of the materials under investigation are also presented and discussed.

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d'Entremont, Agnes G., Jurek A. Nordmeyer-Massner, Clemens Bos, David R. Wilson, and Klaas P. Pruessmann. "Do dynamic-based MR knee kinematics methods produce the same results as static methods?" Magnetic Resonance in Medicine 69, no. 6 (July 27, 2012): 1634–44. http://dx.doi.org/10.1002/mrm.24425.

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Chen, Ji Yong, You Rong Duan, Chun Lin Deng, Qi Yi Zhang, and Xing Dong Zhang. "A Comparative Study Between Dynamic and Static Simulated Body Fluid Methods." Key Engineering Materials 309-311 (May 2006): 271–74. http://dx.doi.org/10.4028/www.scientific.net/kem.309-311.271.

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In vitro method has often been used in the biodegradation/bioactivity evaluation of bioactive ceramics for its convenience and saving in time and outlay. The simulated body fluid (SBF) suggested by Kokubo was a good simulation of the osteoproduction environment in osseous tissue and has been proved to be a good method to study the bioactivity of biomaterials and the mechanism of bone bonding. But SBF is not a suitable method to research the osteoinduction of biomaterials. The results from SBF were not consistent with that from in vivo in muscle. The local ion concentration is the key factors to affect the nucleation and growth of apatite. In muscle the effect of body fluid flowing on local ion concentration cannot be ignored. A dynamic SBF suggested by these authors of this paper not only simulated the ion concentration of body fluid, but also simulated the effect of body fluid flowing on the local ion concentration near the surface or in biomaterials in muscle. The results from the dynamic SBF were in good agreement with that of the implantation experiments in muscle. The results from dynamic SBF showed that apatite only formed on the walls of macropores of the porous CaP, no apatite formed on the surface of both dense and porous CaP. The new bone only formed on the walls of macropores of porous CaP implanted in muscles, no apatite or osseous tissue could be found on the surfaces of both porous and dense CaP. The dynamic SBF preferably simulated the osteoinduction environment in non-osseous tissue and can be used in osteoinductivity evaluation of bioceramics.

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Miao, Chun Yu, and Li Na Chen. "A Research of Virus Detection Combined Dynamic and Static Analysis Methods." Advanced Materials Research 187 (February 2011): 625–30. http://dx.doi.org/10.4028/www.scientific.net/amr.187.625.

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we present a virus detection system based on the D-S theory of evidence, in which the dynamic and static analysis methods are combined. The detection engine applies two types of classifier, support vector amchine and probabilistic neural network to detect the virus. For SVM classifier, we extract the feature vector by monitoring the samples. And the static feature of samples is used in the probabilistic neural network classifier. Finally, the D-S theory of evidence is used to combine the contribution of each individual classifier to give the final decision.experiments show the presented method is more efficiently of the virus detections.

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Gniotek, Krzysztof, and Pawel Tokarski. "New Methods of Assessing Static and Dynamic Flow Characteristics of Textiles." Textile Research Journal 70, no. 1 (January 2000): 53–58. http://dx.doi.org/10.1177/004051750007000108.

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Zhang, Q. T. "Bridging the gap between dynamic and static methods for cell planning." IEEE Transactions on Vehicular Technology 50, no. 5 (2001): 1224–30. http://dx.doi.org/10.1109/25.950323.

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35

Hayton, Paul, Simukai Utete, Dennis King, Steve King, Paul Anuzis, and Lionel Tarassenko. "Static and dynamic novelty detection methods for jet engine health monitoring." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 365, no. 1851 (December 12, 2006): 493–514. http://dx.doi.org/10.1098/rsta.2006.1931.

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Novelty detection requires models of normality to be learnt from training data known to be normal. The first model considered in this paper is a static model trained to detect novel events associated with changes in the vibration spectra recorded from a jet engine. We describe how the distribution of energy across the harmonics of a rotating shaft can be learnt by a support vector machine model of normality. The second model is a dynamic model partially learnt from data using an expectation–maximization-based method. This model uses a Kalman filter to fuse performance data in order to characterize normal engine behaviour. Deviations from normal operation are detected using the normalized innovations squared from the Kalman filter.

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Wu, Jin, Pengfei Dai, Jie Peng, Lixia Zheng, and Weifeng Sun. "Review: Static and Dynamic Analysis Methods for Multi-Branch Biasing Circuits." Journal of Circuits, Systems and Computers 27, no. 13 (August 3, 2018): 1830008. http://dx.doi.org/10.1142/s0218126618300088.

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The fundamental theories and primary structures for the multi-branch self-biasing circuits are reviewed in this paper. First, the [Formula: see text]/[Formula: see text] and [Formula: see text]/[Formula: see text] structures illustrating the static current definition mechanism are presented, including the conditions of starting up and entering into a stable equilibrium point. Then, the AC method based on the loop gain evaluation is utilized to analyze different types of circuits. On this basis, the laws which can couple the branches of self-biasing circuits to construct a suitable close feedback loop are summarized. By adopting Taiwan Semiconductor Manufacturing Company (TSMC)’s 0.18[Formula: see text][Formula: see text]m complementary metal–oxide–semiconductor (CMOS) process with 1.8[Formula: see text][Formula: see text] supply voltage, nearly all the circuits mentioned in the paper are simulated in the same branch current condition, which is close to the corresponding calculated results. Therefore, the methods summarized in this paper can be utilized for distinguishing, constructing, and optimizing critical parameters for various structures of the self-biasing circuits.

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Слободян, S. Slobodyan, Чеканцева, L. Chekantseva, Дозморов, D. Dozmorov, Мартикян, M. Martikyan, Пикула, and N. Pikula. "STUDY NANOPARTICLES SUSPENSIONS METHODS OF DYNAMIC AND STATIC IR LIGHT SCATTERING." Alternative energy sources in the transport-technological complex: problems and prospects of rational use of 3, no. 1 (March 16, 2016): 510–14. http://dx.doi.org/10.12737/18579.

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The possibility of the particle size measuring suspensions by means of the method of photon correlation spectroscopy. Graphs are given of the statistical distributions of the measured parameters of the two tested types of dispersed media. Studies have been shown that the method allows obtain data about the particle size.

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Rees, J. S., P. H. Jacobsen, and J. Hickman. "The elastic modulus of dentine determined by static and dynamic methods." Clinical Materials 17, no. 1 (January 1994): 11–15. http://dx.doi.org/10.1016/0267-6605(94)90042-6.

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Wolfe, Andrew Allen, Kayla Peak, Jana Burch, and Gerald Burch. "The Effects of Innovative Shotgun Shooting Methods on Collegiate Shotgun Shooters." International Journal of Physical Education, Fitness and Sports 7, no. 3 (September 30, 2018): 57–65. http://dx.doi.org/10.26524/ijpefs1836.

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Sporting activities are classified according to movement demands and can be categorized as either dynamic or static actions. Many events exist within the discipline of “shooting sports”, and dynamic and static demands vary drastically among those events. However, consideration for differences in movement demands is frequently disregarded in shooting sports; common practice protocol encourages sh ooters to utilize static shooting techniques for all shooting sport events. In particular, shooting techniques for shotgun shooting, a dynamic sporting event, regularly align with rifle shooting (static activity) methods. Innovative dynamic shotgun shoot ing techniques have recently been developed, however, no previous studies have examined the outcomes of employing these dynamic techniques. Therefore, the current research investigated the effects of innovative shotgun shooting methods on collegiate shotg un shooters (n=38). Pre and post trap and skeet scores were collected at a certified International Shooting Sport Federation and USA Shooting competition field. Upon completion of pre-test shooting, subjects participated in an Optimum Shooting Performance (OSP) intervention that outlined innovative dynamic shooting and practice techniques. Post-test shooting scores were collected after2-weeks of OSP practice. A paired sample t test identified statistically significant improvements for trap shootingscores (t[32] = 2.82, p = .008, 95% CI [0.431, 2.660], d = .49),skeet shooting scores (t[32] = 2.59, p = .01, 95% CI[0.436, 3.625], d = .45), and total shooting (sum score of trap and skeet tests) scores (t[32] = 3.37, p = .002, 95%CI [1.417, 5.734], d = .59). These results suggest that learning and utilizing the OSP methods significantly increased the shooting performance of college shotgun shooters.

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Zhou, Li, Feng Diao, Ming Song, Yue Han, and Shifeng Ding. "Calculation Methods of Icebreaking Capability for a Double-Acting Polar Ship." Journal of Marine Science and Engineering 8, no. 3 (March 6, 2020): 179. http://dx.doi.org/10.3390/jmse8030179.

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As a key parameter, icebreaking capability is often used to judge whether a polar ship could navigate in level ice at a certain speed. This paper presents two methods to calculate icebreaking capability. The first one is a static method based on the estimation of ice resistance under different ice thicknesses and ship speeds. The second is a dynamic method that involves solving the equation of motion. A series of model tests with a double-acting icebreaking tanker were also carried out in the ice basin of the Krylov State Research Center to measure ice resistances. The simulated ice resistances were compared with model tests results for both ahead and astern running operations. The calculated icebreaking capability based on static and dynamic methods was validated with the model test result. A good agreement was achieved between measurement and simulation. The discrepancy between the model test result and the result simulated by the static or dynamic method was minor.

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Grindley, W. "Advantages of Dynamic Over Static Skiametry-Difficulties in Latter Procedure Overcome by the Dynamic Methods." Australasian Journal of Optometry 8, no. 11 (April 19, 2010): 345–46. http://dx.doi.org/10.1111/j.1444-0938.1927.tb00825.x.

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Wilk, Andrzej. "Novel analysis methods of dynamic properties for vehicle pantographs." MATEC Web of Conferences 180 (2018): 01005. http://dx.doi.org/10.1051/matecconf/201818001005.

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Transmission of electrical energy from a catenary system to traction units must be safe and reliable especially for high speed trains. Modern pantographs have to meet these requirements. Pantographs are subjected to several forces acting on their structural elements. These forces come from pantograph drive, inertia forces, aerodynamic effects, vibration of traction units etc. Modern approach to static and dynamic analysis should take into account: mass distribution of particular parts, physical properties of used materials, kinematic joints character at mechanical nodes, nonlinear parameters of kinematic joints, defining different parametric waveforms of forces and torques, and numerical dynamic simulation coupled with FEM calculations. In this work methods for the formulation of the governing equations of motion are presented. Some of these methods are more suitable for automated computer implementation. The novel computer methods recommended for static and dynamic analysis of pantographs are presented. Possibilities of dynamic analysis using CAD and CAE computer software are described. Original results are also presented. Conclusions related to dynamic properties of pantographs are included. Chapter 2 presents the methods used for formulation of the equation of pantograph motion. Chapter 3 is devoted to modelling of forces in multibody systems. In chapter 4 the selected computer tools for dynamic analysis are described. Chapter 5 shows the possibility of FEM analysis coupled with dynamic simulation. In chapter 6 the summary of this work is presented.

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Obstawski, Paweł, Tomasz Bakoń, and Dariusz Czekalski. "Comparison of Solar Collector Testing Methods—Theory and Practice." Processes 8, no. 11 (October 23, 2020): 1340. http://dx.doi.org/10.3390/pr8111340.

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One of the most important problems of operating solar heating systems involves variable efficiency depending on operating conditions. This problem is more pronounced in hybrid energy systems, where a solar installation cooperates with other segments based on conventional carriers of energy or renewable sources of energy. The operating cost of each segment of a hybrid system depends mainly on the resulting efficiency of solar installation. For over 40 years, the procedures of testing solar collectors have been undergoing development, testing, comparison and verification in order to create a procedure that would allow determining the thermal behavior of a solar collector without performing expensive and complicated experimental tests, usually based on the steady state condition. The proper determination of the static and dynamic properties of a solar collector is of key significance, as they constitute a basis for the design of a solar heating installation, as well as a control system. It is therefore important to conduct simulating and operating tests enabling the performance of a comparative analysis intended to indicate the degree to which the static and dynamic properties of a solar collector depend on the method used for their determination. The paper compares the static and dynamic properties of a flat solar collector determined by means of various methods. Based on the produced results, it has been concluded that the static and dynamic properties of a collector determined using various methods may differ from each other even by 50%. This means that it is possible to increase the efficiency of a solar heating installation via the use of an adaptive control algorithm, enabling real-time calculation of the values of characteristic parameters of solar installation, e.g., the time constant under operating conditions.

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Anastassiadis, K., A. Athanatopoulou, and T. Makarios. "Equivalent Static Eccentricities in the Simplified Methods of Seismic Analysis of Buildings." Earthquake Spectra 14, no. 1 (February 1998): 1–34. http://dx.doi.org/10.1193/1.1585986.

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The equivalent static eccentricities of seismic forces are usually defined by codes with simple expressions of the static eccentricity. This paper presents certain formulae for the exact calculation of these eccentricities on the basis of the dynamic response of a simplified model. From the parametric analysis of such formulae the determinative role of the torsional and lateral stiffness of the system becomes obvious for the correct evaluation of the equivalent static eccentricities. Finally, a proposal is made for the improvement of the static torsional provisions of the current codes.

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Tan, Ming A., Franz K. Fuss, and Gunther Niegl. "Method of Determining Static and Dynamic Friction between Hand and Different Surfaces(Sports Biomechanics)." Proceedings of the Asian Pacific Conference on Biomechanics : emerging science and technology in biomechanics 2004.1 (2004): 209–10. http://dx.doi.org/10.1299/jsmeapbio.2004.1.209.

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Karyś, S. "Advanced control and design methods of the auxiliary resonant commutated pole inverter." Bulletin of the Polish Academy of Sciences Technical Sciences 63, no. 2 (June 1, 2015): 489–94. http://dx.doi.org/10.1515/bpasts-2015-0056.

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Abstract This paper presents several methods that enable the reduction of power loss in the auxiliary resonant commutated pole inverter - ARCP. Presented methods can be divided into static and dynamic ones. The static methods are related to an appropriate design of the inverter, whereas dynamic ones to advanced control of the power transistors. A variety of design and control methods are presented together with their advantages and disadvantages. The new control method of the current in the resonant branch is described. The main benefits of the proposed extended control method and their constrains are shown

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Wang, Jian, and Hong Xiao. "Determination of the Kinetics for Dynamic and Static Recrystallization by Using the Flow Curves." Materials Science Forum 575-578 (April 2008): 904–9. http://dx.doi.org/10.4028/www.scientific.net/msf.575-578.904.

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Improved methods to estimate the kinetics of dynamic and static recrystallization are proposed in this paper. The kinetics for dynamic and static recrystallization can be evaluated by inverse analysis of the flow curves obtained using the single-hit and double-hit hot compression tests carried out on Gleeble 3500. The dynamic and static recrystallization volume fractions can be seen as functions of plastic strain and time, respectively. The mathematical formulations between the recrystallization volume fractions and the dislocation density related to the flow stress are used in incremental forms in the study. The methods are applied to the hot compression tests of plain carbon steel and the kinetics of dynamic and static recrystallization are gained successfully for some conditions at elevated temperature. The results are clarified by comparing them with those reported in previous investigations. It is confirmed that the present methods can provide accurate kinetics for dynamic and static recrystallization with shorter time for experiment and computation.

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Gamlath, H. G. J. H. Gnanawardena, W.M.N.S Wijethunga, and S. Weerasinghe. "Effect of Static and Dynamic Stretching Warm-Up Methods on Agility, Speed and Leg Power Performance in School Level Netball Players." Journal of Sports and Physical Education Studies 1, no. 1 (May 18, 2021): 19–25. http://dx.doi.org/10.32996/jspes.2021.1.1.5.

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A warm-up helps the individuals to prepare themselves for strenuous workouts. The warm-up is generally executed before participation in any physical activity or sports. The objective of the study was to investigate the effects of sequencing lower-body static and dynamic stretching combinations on agility, speed, and leg power of school-level female Netball players. Three different stretching protocols were performed: (a) Static Stretching combined with Dynamic Stretching (SS+DS), (b) Dynamic Stretching combined with Static Stretching (DS+SS), and (c) Dynamic Stretching combined with Dynamic Stretching (DS+DS). A control warm-up condition without stretching was implemented with a prior aerobic warm-up followed by dynamic activities. Dependent variables included a 30-m Sprint, Agility run, and jump tests to measure speed, agility, and leg power performance. The level of significance was set at 5% for statistical analysis. The method used for statistical analysis was two-way ANOVA. There was no significant impact of stretching protocols on agility (p=0.257), speed (p=0.106), and leg power (p=0.902) of school-level female netball athletes. The results of the analysis allow the authors to retain the hypothesis that a sequence of static and dynamic stretching combinations does not significantly affect the agility, speed, and leg power of school-level female netball athletes.

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Zhang, Li Juan, Jiang Han, and Zhang Ming Li. "The Application of Fuzzy Optimization Theory in the Selection of Foundation Improvement Methods." Applied Mechanics and Materials 723 (January 2015): 341–44. http://dx.doi.org/10.4028/www.scientific.net/amm.723.341.

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Research was conducted on the optimal selection of foundation improvement methods in the paper. Based on fuzzy optimization theory, four evaluation criteria such as construction time are used to evaluate the five improvement methods. The relative optimal degree 0.798 of dynamic-static consolidation method is the maximum which shows that the dynamic-static method is the optimal one; relative optimal degree and multi-evaluating criteria are used to evaluate multi-goals in the fuzzy optimization theory which will lead to the high optimal reliability result.

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Yu, Li, Bin Bin Lv, Hong Tao Guo, Yu Yan, Jun Zha, and Bo Lu. "Static Aeroelasticity Solution for Divergence Dynamic Pressure of Wing." Applied Mechanics and Materials 633-634 (September 2014): 1233–36. http://dx.doi.org/10.4028/www.scientific.net/amm.633-634.1233.

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This paper introduces the solution for calculating the divergence dynamic pressure of wing under subsonic speed based on static aeroelasticity. Several groups of results (q ~ θ values) are calculated and the divergence dynamic pressure can be obtained through two methods, i.e. making q ~ θ value curves or deducing divergence dynamic pressure formula based on the characteristics of equilateral hyperbola. According to several groups of calculated data, the error caused by the two methods is minor and can be ignored basically.

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