Simulation Results of a Model to Provide Consistent Functionality and Performance in a Healthy Smart City

Author(s):  
Gabriel Urzaiz ◽  
Eric Murillo-Rodríguez ◽  
Jaime Zaldívar-Rae ◽  
Ramón Hervas ◽  
Jesús Fontecha ◽  
...  
2019 ◽  
Vol 11 (1) ◽  
pp. 1
Author(s):  
И.А. Шмелева ◽  
С.Э. Шмелев

A new strategic direction for greening our cities and making them smart to reduce the environmental impact of their performance, increase employment and economic viability and to enhance the quality of life requires a thorough assessment of sustainability and smart urban performance. The research presented in this paper is based on data on 143 global cities including London, New York, Hong Kong, San Francisco, Los Angeles, Sao Paolo, Rio de Janeiro, Buenos Aires, Paris, Berlin, Stockholm, Moscow, Beijing, Seoul, Singapore, Shanghai, Sydney and Tokyo. Exploring linkages between different sustainability and smart city dimensions, this study applied a multi-criteria approach using a panel of 20 indicators to assess urban sustainability performance of global cities. The assessment focused on the drivers of CO2 emissions in cities, including important aspects of energy transitions, the share of coal in the energy mix and renewable energy, public transport, cycling patterns and pedestrianization, waste recycling as well as carbon tax. The results show that San Francisco leads in economic and environmental priorities, and Stockholm leads insocial and smart city priorities. Seoul consistently performs very successfully across the whole spectrum of indicators. We devote considerable attention to the strategies, policies and performance of the leading cities, namely, San Francisco, Stockholm and Seoul. This assessment could be a valuable tool for policy-makers and investors, and could help identify linkages between different sustainability dimensions, as well as sustainable development potential and investment opportunities in cities.


2020 ◽  
Vol 6 (6) ◽  
pp. 29-37
Author(s):  
Md. Shahwaz Hussain ◽  
Sujata Pouranik

The space between rotor and stator plays a very important role in the design and performance of rotating machinery. The thickness of the gap can vary considerably depending on the size and operating conditions for the different types of rotating machines. Analysis the air velocity and temperature distribution over the air flow gap in stator and motor. Changing the design of rotor to develop turbulence in air flow gap. Compare the velocity and temperature distribution of proposed design with previous studies. The simulation results pinpoint also the periodic heat transfer pattern from the rotor surface and this provides useful information for the prediction of the temperature distribution inside the rotating electrical machine. The simulation results of case-1 show about 117°C temperature inside the rotor machine. Then increase the number of slot inside the rotor machine the total temperature of the rotor machine decreases up to 76°C. Due to low temperature total efficiency of the system increases. And also reduces the loss due to heat. The turbulence effect inside the rotor increase in third case. Due to turbulence effect the air cover large amount of area inside the rotor. So total temperature of the rotor casing decreases. In a system where volume is held constant, there is a direct relationship between Pressure and Temperature. For this case, when the pressure increases then the temperature also increases. When the pressure decreases, then the temperature decreases. So pressure in third case decrease upto1.26Pa and temperature 76 °C.


2021 ◽  
Author(s):  
Zhao Wang

Accurate modeling of hysteresis is essential for both the design and performance evaluation of electromagnetic devices. This project proposes the use of feedforward meural networks to implement an accurate magnetic hysteresis model based on the mathematical difinition provided by the Preisach-Krasnoselskii (P-K) model. Feedforward neural networks are a linear association networks that relate the ouput patterns to input patterns. By introducing the multi-layer feedforward neural networks make the hysteresis modeling accurate without estimation of double integrals. Simulation results provide the detailed illustrations. The comparisons with the experiments show that the proposed approach is able to satisfactorily reproduce many features of obsereved hysteresis phenomena an in turn can be used for many applications of interest.


2020 ◽  
Author(s):  
Sagheer Abbas ◽  
Muhammad Adnan Khan ◽  
Atifa Athar ◽  
Syed Ali Shan ◽  
Anwar Saeed ◽  
...  

ABSTRACT In a smart city, the subject of the congestion-free traffic has been leading objectives from the past decade, and many approaches are adopted to make congestion-free roads. These approaches and signals at one junction are not inter-linked with the signal at the previous one. Therefore, the traffic flow on the same road and at associative roads is not smooth. The study proposed a model with a hybrid computational approach in which the current signal incorporates the associative signals information. Simulation results have shown that the proposed approach gives more attractive results as compared to previously published approaches. It will help improve the flow of traffic and reduce traffic congestion.


2022 ◽  
pp. 1-21
Author(s):  
Viana Imad Hassan ◽  
Mohamad Saad El Dine Knio ◽  
Georges Bellos

Cities are tackling their economic, social, and environmental challenges through smart city solutions. To demonstrate that these solutions achieve the desired impact, an indicator-based assessment system is needed. This chapter presents the process of developing CITYkeys performance measurement systems for target setting and monitoring. This European smart city indicator framework was developed by analyzing cities' needs, existing indicators, and gaps. The current research sets out to review several indicators, KPI, and performance measurements, along other indicator frameworks on the case studies involving the conceptualisation, development, and monitoring of smart cities in Lebanon and in Malta for comparative purposes. For this purpose, a mixed methods approach was adopted, whereby both interviews and structured surveys were used to collect primary data pertaining to the analyses of the respectively investigated smart cities.


2010 ◽  
Vol 20-23 ◽  
pp. 688-693
Author(s):  
Jiang Liu ◽  
Bai Gen Cai ◽  
Tao Tang ◽  
Jian Wang

Fault tolerance is crucial to the operating safety and performance of train locating system. Based on the requirements of reliability and safety for train locating, the fault characteristics of location measuring sensors are analyzed. Based on the structure of the train locating system, the fault-tolerant design of the system is given with the location filtering module for case, in which six fault detectors are employed to determine the configuration of the module. Then a PCA based fault detection and isolation method is proposed with Hawkins T2 statistics and the corresponding control limit. By dynamically adjusting the efficiency factors, fault could be detected and isolated as prior defined isolating strategies, and then the fault tolerant performance will be guaranteed. Simulation results demonstrate the high fault tolerant ability of the proposed approach and certain practical application value.


2012 ◽  
Vol 209-211 ◽  
pp. 677-682 ◽  
Author(s):  
Qiu Chen Liu ◽  
Lun Zhang ◽  
Wen Chen Yang

In the light that heavy left-turn vehicles and oncoming vehicles conflict at conventional intersection(CI), leading to discontinuity and low efficiency of traffic flow, this paper presents a new continuous flow intersection(CFI) for urban roads. The geometry physical model and design principles of the CFI are illustrated and the CFI is designed from following three aspects: traffic space, traffic organization and traffic control. Experiments taking the CI and corresponding the CFI as the reseach objects are carried on, and performance of the proposed the CFI is validated via VISSIM. Extensive simulation results under five traffic conditions have demonstrated the potential of the proposed the CFI for improvement of traffic efficiency, and the applicability of the CFI in China is discussed considering the characteristics of domestic urban intersections and it indicates that the CFI could be applied to domestic suburb roads.


2018 ◽  
Vol 7 (3) ◽  
pp. 1257
Author(s):  
Khalil Azha Mohd Annuar ◽  
Nik Azran Ab. Hadi ◽  
Mohamad Haniff Harun ◽  
Mohd Firdaus Mohd Ab. Halim ◽  
Siti Nur Suhaila Mirin ◽  
...  

The overhead gantry crane systems are extensively used in harbours and factories for transportation of heavy loads. The crane speeding up, required for motion, always induces undesirable load swing. This writings present dynamic modelling of a 3D overhead gantry crane sys-tem based on closed-form equations of motion. By using the Lagrange technique, a 3D overhead gantry crane system nonlinear dynamic model is deriving. Then perform a linearization process to obtain a linear model dynamic system. Finally, simulation results systems re-sponses of the derived nonlinear and linear model are presented showing the accuracy and performance of both model.  


2011 ◽  
Vol 213 ◽  
pp. 236-240
Author(s):  
Qi Lie Liu ◽  
Ying Jun Pan ◽  
Hui Feng Yan ◽  
Xin Li ◽  
Meng Wei Zhu

This paper analyzes the principle and performance of routing algorithm in intermittently connected sensor networks, and proposes an enhanced routing algorithm, which is named Transmission Probabilities Routing (TPR).TPR chooses the next-hop node to forward packets according to the forward-probability, which is calculated by contact-frequency and contact-duration. Simulation results indicate that TPR can obviously improve the performance of networks, compared to PROPHET and Epidemic.


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