Relevant bibliographies by topics / Equivalent random traffic method

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Equivalent random traffic method'

Author: Grafiati
Published: 4 June 2021
Last updated: 9 February 2022

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Journal articles on the topic "Equivalent random traffic method"

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Singh, Daljeet, Antonella B. Francavilla, Simona Mancini, and Claudio Guarnaccia. "Application of Machine Learning to Include Honking Effect in Vehicular Traffic Noise Prediction." Applied Sciences 11, no. 13 (2021): 6030. http://dx.doi.org/10.3390/app11136030.

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A vehicular road traffic noise prediction methodology based on machine learning techniques has been presented. The road traffic parameters that have been considered are traffic volume, percentage of heavy vehicles, honking occurrences and the equivalent continuous sound pressure level. Leq A method to include the honking effect in the traffic noise prediction has been illustrated. The techniques that have been used for the prediction of traffic noise are decision trees, random forests, generalized linear models and artificial neural networks. The results obtained by using these methods have be
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Kekez, Michał. "Application of selected computational intelligence methods to sound level modelling based on traffic intensity in thoroughfare." MATEC Web of Conferences 254 (2019): 02038. http://dx.doi.org/10.1051/matecconf/201925402038.

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The aim of the paper was to build the models of sound pressure level as a function of traffic intensity in thoroughfare. The models were built by using artificial analytical models or regression trees. The former included Nordic Prediction Method. The latter were represented by Random Forest and Cubist. The analysis of accuracy of all obtained models was conducted. The best models can be used in the process of reconstruction of equivalent sound level data.
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Si Xi, Zha, Wu Ying, and Jin Peng Wei. "Reliability analysis of buried polyethylene pipeline subject to traffic loads." Advances in Mechanical Engineering 11, no. 10 (2019): 168781401988378. http://dx.doi.org/10.1177/1687814019883785.

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Due to the increasing number of vehicles in urban areas and the degradation of pavement performance, the failure rate of polyethylene pipeline, across roads, has increased rapidly. Based on relevant data, the traffic loads are regarded as a random variable; also its distribution is determined. First, the nonlinear contact interaction model was established, among traffic loads, soil and buried polyethylene pipeline, using finite element analysis software. Second, considering the decline of the pavement performance, the mechanical characteristics of buried gas pipeline suffering from different t
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Hsu, Tien-Pen, Ku-Lin Wen, and Taiyi Zhang. "Applying Machine Learning to Develop Lane Control Principles for Mixed Traffic." Sustainability 13, no. 14 (2021): 7656. http://dx.doi.org/10.3390/su13147656.

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The mixed traffic environment often has high accident rates. Therefore, many motorcycle-related traffic improvements or control methods are employed in countries with mixed traffic, including slow-traffic lanes, motorcycle two-stage left turn areas, and motorcycle waiting zones. In Taiwan, motorcycles can ride in only the two outermost lanes, including the curb lane and a mixed traffic lane. This study analyzed the new motorcycle-riding space control policy on 27 major arterial roads containing 248 road segments in Taipei by analyzing before-and-after accident data from the years 2012–2018. In
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Liu, Changbo, Zhendong Qian, Yang Liao, and Haisheng Ren. "A Comprehensive Life-Cycle Cost Analysis Approach Developed for Steel Bridge Deck Pavement Schemes." Coatings 11, no. 5 (2021): 565. http://dx.doi.org/10.3390/coatings11050565.

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This study aims to evaluate the economy of a steel bridge deck pavement scheme (SBDPS) using a comprehensive life-cycle cost (LCC) analysis approach. The SBDPS are divided into the “epoxy asphalt concrete system” (EA system) and “Gussasphalt concrete system” (GA system) according to the difference in the material in the lower layer of the SBDPS. A targeted LCC checklist, including manager cost and user cost was proposed, and a Markov-based approach was applied to establish a life-cycle performance model with clear probability characteristics for SBDPS. Representative traffic conditions were de
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SUGIYANTO, Gito, and Ari Fadli. "Identifikasi Lokasi Rawan Kecelakaan Lalu Lintas (Black Spot) di Kabupaten Purbalingga, Jawa Tengah." Jurnal Teknik Sipil dan Perencanaan 19, no. 2 (2017): 128–35. http://dx.doi.org/10.15294/jtsp.v19i2.10768.

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Road safety is a complicated scientific field of transport research due to the random nature of accident occurrence. Traffic accidents impose serious problems to society in terms of medical costs, economic costs (productivity losts), property damage costs, and human costs. Traffic accidents are increasing and still become the main problem of road transport in Indonesia. One effort to improve transportation safety is by determining and handling the black spot locations. The method that used to identify black spot locations is the frequency-crash method. The aim of this research is to identify b
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Adulaimi, Ahmed Abdulkareem Ahmed, Biswajeet Pradhan, Subrata Chakraborty, and Abdullah Alamri. "Traffic Noise Modelling Using Land Use Regression Model Based on Machine Learning, Statistical Regression and GIS." Energies 14, no. 16 (2021): 5095. http://dx.doi.org/10.3390/en14165095.

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This study estimates the equivalent continuous sound pressure level (Leq) during peak daily periods (‘rush hour’) along the New Klang Valley Expressway (NKVE) in Shah Alam, Malaysia, using a land use regression (LUR) model based on machine learning, statistical regression, and geographical information systems (GIS). The research utilises two types of soft computing methods including machine learning (i.e., decision tree, random frost algorithms) and statistical regression (i.e., linear regression, support vector regression algorithms) to determine the best approach to create a prediction Leq m
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Li, Ningyuan, Wei-Chau Xie, and Ralph Haas. "Reliability-Based Processing of Markov Chains for Modeling Pavement Network Deterioration." Transportation Research Record: Journal of the Transportation Research Board 1524, no. 1 (1996): 203–13. http://dx.doi.org/10.1177/0361198196152400124.

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Accurate prediction of pavement deterioration is the most important factor in the determination of pavement repair years and optimization programming of highway network maintenance. The Nonhomogeneous Markov Probabilistic Modeling Program, developed to determine pavement deterioration rates in different stages, is described. In this program the transition probability matrices (TPMs) are considered as a time-related transition process. Each element of the TPMs is determined on the basis of a reliability analysis and a Monte Carlo simulation technique. This avoids the use of the existing convent
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Croce, Pietro. "Probabilistic Models for Vehicle Interactions in Fatigue Assessment of Bridges." Applied Sciences 9, no. 24 (2019): 5338. http://dx.doi.org/10.3390/app9245338.

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Fatigue assessments of bridges depend on vehicle interactions, occurring when several vehicles travel simultaneously on the bridge or when two individual stress histories, caused by vehicles traveling in different times, generate a more damaging combined stress history. When interactions are significant, stress histories cannot be directly determined using conventional fatigue load models provided in Codes, unless suitable theoretical models for vehicle interactions are available. In the paper, original approaches are proposed to study different aspects of the problem. Concerning interactions
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Taber, Niloufer, Amber Mehmood, Perumal Vedagiri, Shivam Gupta, Rachel Pinto, and Abdulgafoor M. Bachani. "Paper Versus Digital Data Collection Methods for Road Safety Observations: Comparative Efficiency Analysis of Cost, Timeliness, Reliability, and Results." Journal of Medical Internet Research 22, no. 5 (2020): e17129. http://dx.doi.org/10.2196/17129.

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Background Roadside observational studies play a fundamental role in designing evidence-informed strategies to address the pressing global health problem of road traffic injuries. Paper-based data collection has been the standard method for such studies, although digital methods are gaining popularity in all types of primary data collection. Objective This study aims to understand the reliability, productivity, and efficiency of paper vs digital data collection based on three different road user behaviors: helmet use, seatbelt use, and speeding. It also aims to understand the cost and time eff
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Dissertations / Theses on the topic "Equivalent random traffic method"

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Campos, José Augusto Ferraz de. "Análise de redes ópticas sem comutação usando o método do tráfego aleatório equivalente." Universidade de São Paulo, 2002. http://www.teses.usp.br/teses/disponiveis/18/18133/tde-08082005-123858/.

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O objetivo deste trabalho é utilizar o método do tráfego aleatório equivalente para analisar e dimensionar redes ópticas sem comutação para arquitetura de nível único. Uma modelagem analítica, baseada nesse método, que possibilita otimizar os parâmetros da rede considerando padrões mínimos de desempenho é descrita. A rede em estudo utiliza apenas um nó, onde se realizam as funções de roteamento passivo. Em anexo ao nó existem seqüências de conversores de comprimentos de onda gerenciados por um controlador de rede. A estrutura da rede consiste de um certo número de redes ópticas passivas (PONs)
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Demetriou, Demetris. "An investigation into nonlinear random vibrations based on Wiener series theory." Thesis, University of Cambridge, 2019. https://www.repository.cam.ac.uk/handle/1810/287637.

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In support of society's technological evolution, the study of nonlinear systems in engineering and sciences has become a vital research area. Aiming to contribute in this field, this thesis investigates the behaviour of nonlinear systems using the 'Wiener theories'. As a useful example the Duffing oscillator is investigated in this work. In many real-life applications, nonlinear systems are excited randomly so this work examines systems under white-noise excitation using the Wiener series. Equivalent Linearisation (EL) is a well-known and simple method that approximates a nonlinear system by a
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Martinson, Christiaan Adolph. "Characterisation of a PEM electrolyser using the current interrupt method / Christiaan Adolph Martinson." Thesis, North-West University, 2012. http://hdl.handle.net/10394/8741.

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The need to characterise a PEM electrolyser is motivated by a South African hydrogen company. One of two electrochemical characterisation methods, namely the current interrupt method or electrochemical impedance spectroscopy, is investigated to characterise the PEM electrolyser. Various literature sources can be found on the electrochemical characterisation methods. In this study the current interrupt method is used for the electrochemical characterisation of a PEM electrolyser. The current interrupt method is an electrical test method that will be used to obtain an equivalent electric circuit
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Fouemkeu, Norbert. "Modélisation de l’incertitude sur les trajectoires d’avions." Thesis, Lyon 1, 2010. http://www.theses.fr/2010LYO10217/document.

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Dans cette thèse, nous proposons des modèles probabilistes et statistiques d’analyse de données multidimensionnelles pour la prévision de l’incertitude sur les trajectoires d’aéronefs. En supposant que pendant le vol, chaque aéronef suit sa trajectoire 3D contenue dans son plan de vol déposé, nous avons utilisé l’ensemble des caractéristiques de l’environnement des vols comme variables indépendantes pour expliquer l’heure de passage des aéronefs sur les points de leur trajectoire de vol prévue. Ces caractéristiques sont : les conditions météorologiques et atmosphériques, les paramètres courant
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Hitchcock, Yvonne Roslyn. "Elliptic Curve Cryptography for Lightweight Applications." Queensland University of Technology, 2003. http://eprints.qut.edu.au/15838/.

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Elliptic curves were first proposed as a basis for public key cryptography in the mid 1980's. They provide public key cryptosystems based on the difficulty of the elliptic curve discrete logarithm problem (ECDLP) , which is so called because of its similarity to the discrete logarithm problem (DLP) over the integers modulo a large prime. One benefit of elliptic curve cryptosystems (ECCs) is that they can use a much shorter key length than other public key cryptosystems to provide an equivalent level of security. For example, 160 bit ECCs are believed to provide about the same level of security
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Books on the topic "Equivalent random traffic method"

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A, Muravyov Alexander, and Langley Research Center, eds. Equivalent linearization analysis of geometrically nonlinear random vibrations using commercial finite element codes. National Aeronautics and Space Administration, Langley Research Center, 2002.

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Book chapters on the topic "Equivalent random traffic method"

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De Rosa, Sergio, Francesco Franco, and Elena Ciappi. "The Method of the Pseudo Equivalent Deterministic Excitations (PEDE M ) to Bound the Random Response." In Flinovia - Flow Induced Noise and Vibration Issues and Aspects. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-09713-8_14.

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Younespour, Amir, and Shaohong Cheng. "Sliding Mode Control of Nonlinear Systems Under Nonstationary Random Vibrations via an Equivalent Linearization Method Using Block Pulse Functions." In Nonlinear Dynamics and Control. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-34747-5_11.

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Tsuchida, Takahiro, and Kohei Kanno. "Analysis of Transient Response Moment of a SDOF System Under Non-Gaussian Random Excitation by the Equivalent Non-Gaussian Excitation Method." In Vibration Engineering for a Sustainable Future. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-46466-0_11.

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Qian, Jiangu, Jia-feng Zhang, Yonggang Wang, and Xiao Ma. "An equivalent finite element method for traffic-load-induced settlement of pavement on the soft clay subgrade." In Computer Methods and Recent Advances in Geomechanics. CRC Press, 2014. http://dx.doi.org/10.1201/b17435-325.

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Kaurila, Veikko Tapio. "Unmanned Transportation Applications at First Level Air Infrastructure (FLAI)." In Advances in Transdisciplinary Engineering. IOS Press, 2021. http://dx.doi.org/10.3233/atde210026.

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Increasing complexity of infrastructure has growing need for maintenance that is accumulating cost in the long run. This report compares the simulation of traditional transportation to an aviation alternative. The focus is on the cost effectiveness and power efficiency of Vertical/Short Take-Off and Landing (V/STOL) vehicles. Author’s motivation in this topic is from the project of designing a VTOL vehicle for multimodal transportation. The simulation of 100.000 people demonstrates efficiency of aviation infrastructure. Counting 11 billion for traditional infrastructure and 4 billion for equivalent VTOL vehicle carrying capacity. Affecting factors are energy, transportation modes, infrastructure and operation average the results. The simulation is simplistic model of infrastructure with normally distributed traffic, neglecting the effect of transition between vehicles, and the effect of wind magnitude and direction. The aviation method reduced distance up to 82% made travel time 92%, consumed 88% of the energy, when emissions show relatively equivalent quantity on both applications. The results of FLAI imply economic advantages over traditional infrastructure and suggest further research into the safe adoption of aviation infrastructure.
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Rotshtein, Alexander, Ludmila Pustylnik, and Denys Katielnikov. "Fuzzy Cognitive Maps in Reliability Modeling." In Advances in Systems Analysis, Software Engineering, and High Performance Computing. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-7564-2.ch001.

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The fuzzy cognitive map is considered as a tool for the ranking of factors affecting reliability. The rank of a factor is defined as an equivalent of the Birnbaum importance index in the classical reliability theory. Models and algorithms are proposed for calculation of the importance indexes of single factors and their joint effects on the reliability. The method is exemplified by the reliability and safety of an automobile in the “driver-automobile-road” system subject to the driver's qualification, traffic situation, unit costs of operation, operating conditions, maintenance scheduling, quality of maintenance and repair, quality of automobile design, quality of operational materials and spare parts, as well as storage conditions. The advantages of the method include 1) use of available expert information with no collection and processing statistical data and 2) capability to take into account any quantitative and qualitative factors associated with people, technology, software, quality of service, operating conditions, etc.
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"Development of Fuzzy Multi-Objective Stochastic Fractional Programming Models." In Multi-Objective Stochastic Programming in Fuzzy Environments. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-8301-1.ch004.

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In this chapter, two methodologies for solving multi-objective linear fractional stochastic programming problems containing fuzzy numbers (FNs) and fuzzy random variables (FRVs) associated with the system constraints are developed. In the model formulation process, the fuzzy probabilistic constraints are converted into equivalent fuzzy constraints by applying chance constrained programming (CCP) technique in a fuzzily defined probabilistic decision-making situation. Then two techniques, -cut and defuzzification methods, are used to convert the model into the corresponding deterministic model. In the method of using -cut for FNs, the tolerance level of FNs is considered, and the constraints are reduced to constraints with interval coefficients. Alternatively, in using defuzzification method, FNs are replaced by their defuzzified values. Consequently, the constraints are modified into constraints in deterministic form. In the next step, the constraints with interval coefficients are customized into its equivalent form by using the convex combination of each interval. If the parameters of the objectives are triangular FNs, then on the basis of their tolerance ranges each objective is decomposed into three objectives with crisp coefficients. Then each objective is solved independently to find their best and worst values and those values are used to construct membership function of each objective. Finally, the compromise solution of multi-objective linear fractional CCP problems is obtained by applying any of the approaches: priority-based fuzzy goal programming (FGP) method, Zimmermann's approach, -connective process, or minimum bounded sum operator technique. To demonstrate the efficiency of the above-described techniques, two illustrative examples, studied previously, are solved, and the solutions are compared with the existing methodology.
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"Methodology for Solving Multi-Objective Quadratic Programming Problems in a Fuzzy Stochastic Environment." In Multi-Objective Stochastic Programming in Fuzzy Environments. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-8301-1.ch005.

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This chapter presents two methodologies for solving quadratic programming problems with multiple objectives under fuzzy stochastic environments. The right side parameters of the chance constraints of both the models are chosen as fuzzy random variables (FRVs) following different probability distributions. Like the previous chapters, chance constrained programming (CCP) methodology is employed to the fuzzy chance constraints to develop fuzzy programming model. In the first model, cut of fuzzy sets and fuzzy partial order relations are incorporated to the fuzzy programming model to develop an equivalent deterministic model. For the second model, defuzzification method of fuzzy numbers (FNs), which are presented in Chapter 2, are taken into consideration to generate equivalent quadratic programming model in a crisp environment. As the objective functions are quadratic in nature, it is easy to understand that the membership functions obtained through methodological development process are also quadratic in nature. To linearize the quadratic membership functions, linearization techniques are employed in this chapter. Finally, for achieving the maximum degree of each of the membership goals of the objectives, a fuzzy goal programming (FGP) approach is developed for the linearized membership goals and solved by minimizing under-deviational variables and satisfying modified system constraints in fuzzy stochastic decision-making environments. To illustrate the acceptability of the developed methodology presented in this chapter, some numerical examples are included.
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"Fully Fuzzified Multi-Objective Stochastic Programming." In Multi-Objective Stochastic Programming in Fuzzy Environments. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-8301-1.ch006.

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This chapter develops a methodology for solving fully fuzzified multi-objective chance constrained programming (CCP) problems with fuzzy random variables (FRVs) as parameters. In the preceding chapters, it is assumed that the parameters of the multi-objective programming models are uncertain, and these uncertain parameters are expressed through fuzzy numbers (FNs) and FRVs. However, in practical situations, it is also observed that not only the parameters but also the variables of the multi-objective programming problems are uncertain. From that view point, the methodology for solving fully fuzzified multi-objective stochastic programming problems are presented in this chapter. At first the fuzzy probabilistic constraints are modified into fuzzy constraints. Using the defuzzification method of FNs, the different fuzzy parameters and fuzzy variables in the constraints are converted into crisp equivalent parameters and crisp variables. In this chapter, the parameters of the objectives are considered as either symmetric trapezoidal FNs or FRVs whose mean and variances are taken as symmetric trapezoidal FNs. If the parameters of the objectives are FRVs, then expectation model and variance model of the objective is used to find an equivalent form of the objectives whose parameters are only FNs. The ranking function of FNs is then applied to the objectives to convert them into crisp objectives. Then each objective is solved independently under the modified system constraints to construct the membership goals of each objective. Finally, weighted fuzzy goal programming (FGP) model is applied to achieve the most satisfactory solution for the overall benefit of the organization. Two illustrative numerical examples are given to demonstrate the efficiency of the proposed methodology and to compare the solution obtained by the developed methodology with the pre-defined techniques.
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Rajaee, Amir, Mahdy Saedy, and Brian Kelley. "A Complete Spectrum Sensing and Sharing Model for Cognitive Radio Ad Hoc Wireless Networks Using Markov Chain State Machine." In Advancements and Innovations in Wireless Communications and Network Technologies. IGI Global, 2013. http://dx.doi.org/10.4018/978-1-4666-2154-1.ch013.

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This paper presents the Cognitive Radio framework for wireless Ad Hoc networks. The proposed Cognitive Radio framework is a complete model for Cognitive Radio that describes the sensing and sharing procedures in wireless networks by introducing Queued Markov Chain method in spectrum sensing and Competitive Indexing Algorithm in spectrum sharing part. Queued Markov Chain method is capable of considering waiting time and is well generalized for an unlimited number of secondary users. It includes the sharing aspect of Cognitive Radio. Power-law distribution of node degree in scale-free networks is important for considering the traffic distribution and resource management thus we consider the effect of the topology on sensing and sharing performances. The authors demonstrate that CIF outperforms Uniform Indexing (UI) algorithm in Scale-Free networks while in Random networks UI performs as well as CIF.
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Conference papers on the topic "Equivalent random traffic method"

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Schneps-Schneppe, Manfred, and Janis Sedols. "On Equivalent Random Traffic method extension." In 2011 Baltic Congress on Future Internet Communications (BCFIC Riga). IEEE, 2011. http://dx.doi.org/10.1109/bcfic-riga.2011.5733219.

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Garcia-Dorado, Jose Luis, Javier Aracil, Jose Alberto Hernandez, and Jorge E. Lopez de Vergara. "A queueing equivalent thresholding method for thinning traffic captures." In NOMS 2008 - 2008 IEEE Network Operations and Management Symposium. IEEE, 2008. http://dx.doi.org/10.1109/noms.2008.4575132.

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Jiang, Liu-bing, Li Che, and Lin-feng Chai. "Application of pseudo-random equivalent sampling method in UWB-TWSR." In 2010 2nd International Conference on Information Science and Engineering (ICISE). IEEE, 2010. http://dx.doi.org/10.1109/icise.2010.5691488.

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Zhai, Yubo, and Xianghan Zheng. "Random Forest based Traffic Classification Method In SDN." In 2018 International Conference on Cloud Computing, Big Data and Blockchain (ICCBB). IEEE, 2018. http://dx.doi.org/10.1109/iccbb.2018.8756496.

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Yang, Kuojun, Shulin Tian, and Jinpeng Song. "A high speed random equivalent sampling method based on time-stretch." In 2013 2nd International Symposium on Instrumentation & Measurement, Sensor Network and Automation (IMSNA). IEEE, 2013. http://dx.doi.org/10.1109/imsna.2013.6743241.

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Wuhuang, Huang, Du Yu, Qiu Duyu, Ye Peng, Tian Shulin, and Wang Houjun. "A novel method of random equivalent sampling with full-digital reconstruction." In 2019 14th IEEE International Conference on Electronic Measurement & Instruments (ICEMI). IEEE, 2019. http://dx.doi.org/10.1109/icemi46757.2019.9101718.

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Chen, Roger, and Chuh Mei. "An equivalent linearization/double transformation method for nonlinear random composite panel response." In 40th Structures, Structural Dynamics, and Materials Conference and Exhibit. American Institute of Aeronautics and Astronautics, 1999. http://dx.doi.org/10.2514/6.1999-1455.

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Tang, Yao, Zuoyu Sun, and Hui Wang. "Random vibration analysis of controlled building based on the equivalent excitation method." In 2012 2nd International Conference on Consumer Electronics, Communications and Networks (CECNet). IEEE, 2012. http://dx.doi.org/10.1109/cecnet.2012.6201398.

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Maulida, Nabila Rahmi, and Kusprasapta Mutijarsa. "Traffic Density Classification Using Multilayer Perceptron and Random Forest Method." In 2021 International Seminar on Intelligent Technology and Its Applications (ISITIA). IEEE, 2021. http://dx.doi.org/10.1109/isitia52817.2021.9502269.

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Tatović, Milomir, Saša Adamović, Aleksandar Jevremović, and Milan Milosavljević. "ONE METHOD FOR GENERATING UNIFORM RANDOM NUMBERS VIA CIVIL AIR TRAFFIC." In Sinteza 2014. Singidunum University, 2014. http://dx.doi.org/10.15308/sinteza-2014-606-609.

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Reports on the topic "Equivalent random traffic method"

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Bobashev, Georgiy, R. Joey Morris, Elizabeth Costenbader, and Kyle Vincent. Assessing network structure with practical sampling methods. RTI Press, 2018. http://dx.doi.org/10.3768/rtipress.2018.op.0049.1805.

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Using data from an enumerated network of worldwide flight connections between airports, we examine how sampling designs and sample size influence network metrics. Specifically, we apply three types of sampling designs: simple random sampling, nonrandom strategic sampling (i.e., selection of the largest airports), and a variation of snowball sampling. For the latter sampling method, we design what we refer to as a controlled snowball sampling design, which selects nodes in a manner analogous to a respondent-driven sampling design. For each design, we evaluate five commonly used measures of netw
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