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Articles 8491 - 8520 of 25760

Full-Text Articles in Engineering

Queuing System Simulation Optimization Of Subway Stair Width, Yangsheng Jiang, Juanxiu Zhu, Hu Lu, Shifan Han Jul 2020

Queuing System Simulation Optimization Of Subway Stair Width, Yangsheng Jiang, Juanxiu Zhu, Hu Lu, Shifan Han

Journal of System Simulation

Abstract: Subway stair and passenger flow are described as a G/G(n, φ)/C/C state-dependent queuing system with a general random arrival interval and the general random service time that depends on the passengers number n and stair gradient φ. Simulation model of the queuing system was designed and optimization algorithm was developed. Thus, a new optimization method based on queuing system simulation for subway stair width was proposed. The simulation optimization method, the M/G(n)/C/C, and the D/D/1/C queuing model (the existing design code) were compared. The results show that: the stair widths of …

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Stochastic Resonance In Time-Delayed Asymmetric Monostable System With Stable Noise, Shangbin Jiao, Li Jia, Zhang Qing, Xie Guo Jul 2020

Stochastic Resonance In Time-Delayed Asymmetric Monostable System With Stable Noise, Shangbin Jiao, Li Jia, Zhang Qing, Xie Guo

Journal of System Simulation

Abstract: α stable noise with monostable system was combined to investigate the stochastic resonance of the asymmetric monostable with time delay or not driven by different stable noise. The numerical simulation study shows that the stochastic resonance exists not only in the asymmetric monostable system but also in the time-delayed asymmetric monostable system. The effects of the stability index α (0<α≤2) and symmetric parameter β(-1≤β≤1) of α stable noise, the monostable system parameter α, the amplification factor D of multiplicative stable noise, the asymmetry parameter r and the time delay on the signal-to-noise ratio gain of the system were explored.

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Image Classification Based On Mixed Deep Learning Model Transfer Learning, Xiangbin Shi, Xuejian Fang, Deyuan Zhang, Zhongqiang Guo Jul 2020

Image Classification Based On Mixed Deep Learning Model Transfer Learning, Xiangbin Shi, Xuejian Fang, Deyuan Zhang, Zhongqiang Guo

Journal of System Simulation

Abstract: In order to obtain high discrimination image representations in limited amount of datasets, the method based on mixed deep transfer learning model was proposed. When trained CNNs transferred to the target datasets, fully-connected layers were replaced by RBM layers. The method retrained the RBM layers and Softmax classifier, then fine-tuned the mixed model with backpropagation algorithm. The RBM layers not only fully connected whole feature maps, but also learned the target datasets' statistical features in the view of the biggest logarithmic likelihood, to eliminate the effects caused by the content differences between datasets. The experimental results show that the …

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Boundary Conditions For Model Of Random Kelvin Cell Open-Cell Foam And Its Application On Open-Cell Aluminum Foam, Minju Qi, Guangfa Gao Jul 2020

Boundary Conditions For Model Of Random Kelvin Cell Open-Cell Foam And Its Application On Open-Cell Aluminum Foam, Minju Qi, Guangfa Gao

Journal of System Simulation

Abstract: The random Kelvin cell open-cell foam model, the further investigations on the boundary conditions of the model were carried out using the Python scripting language and the commercial code ABAQUS. The ‘floating' edges in boundary, owing to being cut with slanted planes, were eliminated. The compressive behaviors of the material under free boundary condition and fixed boundary condition were investigated and comparatively analyzed. On the basis of the above results, the periodic boundary condition was developed, and the method of setting the periodic boundary condition under several different conditions was discussed. The methodology for the design and implement for …

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Processing Method Of Space Locations Of Virtual Human Based On Wavelet Transform And Kalman Filter, Liang Feng, Zhili Zhang, Xiangyang Li, Zhibo Tang Jul 2020

Processing Method Of Space Locations Of Virtual Human Based On Wavelet Transform And Kalman Filter, Liang Feng, Zhili Zhang, Xiangyang Li, Zhibo Tang

Journal of System Simulation

Abstract: For the problem of inadequate smoothness of space location coordinate and large error of acceleration information, a processing method based on wavelet transform and Kalman filter was proposed to realize the valid control of virtual human' motion process after eliminating error points of motion data. Main acceleration information could be achieved based on the filter method of wavelet transform, and weak tracking Kalman filter was introduced to realize the amendment and smoothness of space location coordinates and acceleration information. Compared to the conventional Kalman filter method, the proposed method could achieve more exact and smooth space location and acceleration …

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Path Planning And Control Simulation Of Unpowered Unmanned Aerial Vehicle (Uav) Returning To The Airport, Yijun Zhang, Yiqun Dong, Zhan Guang, Jianliang Ai Jul 2020

Path Planning And Control Simulation Of Unpowered Unmanned Aerial Vehicle (Uav) Returning To The Airport, Yijun Zhang, Yiqun Dong, Zhan Guang, Jianliang Ai

Journal of System Simulation

Abstract: The unpowered Unmanned Aerial Vehicle (UAV) return to the airport unpoweredly is a link of large risk and complex technology during the flight, and it is the key stage which affects the flight safety of the UAV. The basic control strategy and path planning of the unpowered UAV's back to the airport were studied, and the method which calculated the average drag of the return was proposed. Under the condition of multiple constraints, the flight control model of the UAV's return was established. It is proved that the result of the simulation is effective and has built a foundation …

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Simulation Of Three Level Inverter Neutral Point Potential Control Based On Three Level Dc/Dc Converter, Kun Xia, Xiaodi Li, Xiaobo Ding, Yanneng Zeng, Yiming Wang, Xu Po Jul 2020

Simulation Of Three Level Inverter Neutral Point Potential Control Based On Three Level Dc/Dc Converter, Kun Xia, Xiaodi Li, Xiaobo Ding, Yanneng Zeng, Yiming Wang, Xu Po

Journal of System Simulation

Abstract: The DC capacitor voltage unbalancing of NPC three-level inverter not only makes the AC output performance worse, but also reduces the DC capacitors' service life and even damages the power devices. A method based on three-level DC/DC converter was put forward to control the neutral point potential of three-level inverter. This method realized power conversion with three-level DC/DC converter topology, boosting voltage and stabilizing the neutral point potential of DC link at the same time. It would regulate switches working states according to the constraint rules on the sum of switches off time deciding bus voltage and the ratio …

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Application Of Recursive Least Square Method In Identication Of Dehydrogenation Reator, Guoyou Li, Ningning Gao, Wenhua Xia Jul 2020

Application Of Recursive Least Square Method In Identication Of Dehydrogenation Reator, Guoyou Li, Ningning Gao, Wenhua Xia

Journal of System Simulation

Abstract: The current production methods of styrene at home and abroad are mainly dhydrogenation of ethylbenzene which accounts for more than 90% of styrene production capacity in the world. To save energy, it was needed to optimize the system and its premise was to know the mathematical model of ethylbenzene dehydrogenation reactor. Due to the complexity of the reactor internal structure, mechanism modeling was more difficult to establish objective and accurate mathematics models. To solve this problem, it was used recursive least squares to conduct parameter identification. On the basis of actual plant data, ethylbenzene dehydrogenation reactor mathematical model was …

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Simulation Research Of Maglev Train During Uphill And Downhill Process, Songqi Li, Kunlun Zhang, Guoqing Liu, Chen Yin Jul 2020

Simulation Research Of Maglev Train During Uphill And Downhill Process, Songqi Li, Kunlun Zhang, Guoqing Liu, Chen Yin

Journal of System Simulation

Abstract: In the low speed EMS maglev test line experiments in Zhuzhou, it was found that vehicles are prone to hit the tracks, when the maglev train travels uphill or downhill through the tracks with slopes. This seriously affected the safety and comfort of the vehicle. In order to study the problem, a single low speed EMS maglev train carriages-track model with four degrees of freedom was built. It simulated and analyzed dynamic behaviors of the vehicle going uphill on different track curves, under different vehicle -track parameters. The simulation results show that the vehicle parameters, vehicle speed, and the …

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Framework And Methodology For Logistics Simulation Based On Fidelity Theory, Yukun Liu, Fu Yu, Mengrui Shan Jul 2020

Framework And Methodology For Logistics Simulation Based On Fidelity Theory, Yukun Liu, Fu Yu, Mengrui Shan

Journal of System Simulation

Abstract: The quality issue of simulation was studied from the perspective of fidelity. The basic concepts and dimension structures of simulation fidelity and simulation utility were defined according to the features of discrete event logistics system (DELS) simulation after a relationship analysis between fidelity and problems in DELS simulation. A fidelity-based four-stage lifecycle framework with prescriptive contents for each stage was constructed to improve the quality of simulation implementation. A simulation fidelity management process model (FMPM) was built to ensure three processes: pre-control of fidelity design, in-process fidelity management, and afterward fidelity evaluation. Operable methods and tools such …

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Design And Implementation Of Real Confrontation Oriented Simulation Models For Artillery Firepower, Baoyu Xu, Hongjun Zhang, Guo Hong, Guangming Xu Jul 2020

Design And Implementation Of Real Confrontation Oriented Simulation Models For Artillery Firepower, Baoyu Xu, Hongjun Zhang, Guo Hong, Guangming Xu

Journal of System Simulation

Abstract: Aiming at the training requirement of real confrontation, a simulation method based on real equipment for artillery firepower was proposed on the basis of the analysis of artillery firepower attacking behavior characteristics. By comprehensive use of the sensor, exterior ballistic calculation, satellite positioning, geographic information and damage assessment technology, using a embedded simulation method, a simulation model of artillery firepower fused information collection of artillery firing data, ballistic endpoint simulation and damage assessment was built, which could reflect systematically and comprehensively artillery firepower attacking process and the result of the strike in the actual combat environment. The model …

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Qos-Aware Scheduling For Data Intensive Workflow, Wan Cong, Cuirong Wang, Wang Cong Jul 2020

Qos-Aware Scheduling For Data Intensive Workflow, Wan Cong, Cuirong Wang, Wang Cong

Journal of System Simulation

Abstract: The development of technology enables people to access resources from different data centers. Resource management and scheduling of applications, such as workflow, that are deployed on the cloud computing environment have already become a hot spot. A QoS-aware scheduling algorithm for data intensive workflow on multiple data center environment was proposed. Scheduling data intensive workflow on multiple data center environment has two characteristics: A large amount of data is distributed in different geographical locations, the process of data migration will consume a large amount of time and bandwidth; secondly, the data centers have different price and resources. Data migration …

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Analysis Of Rubber Conveyor Belt Sag Resistance Experiment Table Dynamics, Mao Jun, Wang Xin, Hongyue Chen Jul 2020

Analysis Of Rubber Conveyor Belt Sag Resistance Experiment Table Dynamics, Mao Jun, Wang Xin, Hongyue Chen

Journal of System Simulation

Abstract: To study the dynamic characteristics of rubber conveyor belt sag resistance bench working process, by hydraulic cylinder pressure, roll eccentricity error and st2000 conveyor belt thickness error as system incentive, a 3-DOF dynamics sag resistance test bench dynamic model was established. The model was solved by using Simulink. The results show that: as provided by the hydraulic cylinder pressure force of 10, 000 N, in the time domain, the vibration of the idler roller and pass roller slants big, which need to improve the connection stiffness. In the frequency domain, the excitation frequency and the natural frequency have larger …

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Computational Investigation Into Thermal-Mechanical Coupling Characteristics Of Disc Brake Under Anti-Lock Braking Condition, Lijun Zhang, He Zhen, Dejian Meng Jul 2020

Computational Investigation Into Thermal-Mechanical Coupling Characteristics Of Disc Brake Under Anti-Lock Braking Condition, Lijun Zhang, He Zhen, Dejian Meng

Journal of System Simulation

Abstract: The braking condition has great influence on the thermal-mechanical coupling characteristics of disc brake. A three-degree-of-freedom dynamic model of braking vehicle was built. The braking force was determined by an anti-lock braking system (ABS) which adopted the threshold-logical control strategy of wheel slip rate. With the model, anti-lock braking processes on dry and wet were simulated. In the meantime, for the sake of comparison, non-anti-lock braking processes were simulated on corresponding road. A thermal-mechanical coupling finite element model of a ventilated disc brake was established. Thermal-mechanical coupling characteristics of brake disc and brake lining were calculated under different braking …

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Study On Aircraft Scheduling Optimization Based On Improved Genetic Algorithm, Yaohua Li, Wang Lei Jul 2020

Study On Aircraft Scheduling Optimization Based On Improved Genetic Algorithm, Yaohua Li, Wang Lei

Journal of System Simulation

Abstract: Aircraft scheduling was studied, and an optimization model of aircraft assignment based on the objective function of maximize total profit was suggested. It considered its cost and benefits by combining fleet and aircraft. In the view of the feature of this model, the innovation of genetic algorithm chromosome was carried on, and these chromosomes formatted chromosome groups. The groups interior could cross over and mutate, and the probability of crossover and mutation could dynamically adjust in accordance with adaptive values to accelerate the convergence speed, the model was resolved fast in this way. In the process of simulation with …

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Control Allocation Method For Split-Drag-Rudders With Asymmetrical Deflection, Xiaobo Qu, Weiguo Zhang, Jingping Shi Jul 2020

Control Allocation Method For Split-Drag-Rudders With Asymmetrical Deflection, Xiaobo Qu, Weiguo Zhang, Jingping Shi

Journal of System Simulation

Abstract: The split drag rudders (SDRs) were usually used for the yaw control of tailless flying wing aircraft with the symmetric deflection mode. This approach was simple and effective, but the upper and lower deflectors of the SDRs were constrained to deflect symmetrically, limiting the distribution and control mode of the deflectors, reducing the maximum available moment in pitch axis and roll axis, affecting the handling performance of the aircraft flying at low speed. A certain flying wing UAV was used as the study model. The CFD method was adopt to investigate the aerodynamic characteristic of SDRs operating in either …

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Mixed H2/H∞ Optimal Pid Control For Superheated Steam Temperature System, Weiping Liang, Jiarong Wang Jul 2020

Mixed H2/H∞ Optimal Pid Control For Superheated Steam Temperature System, Weiping Liang, Jiarong Wang

Journal of System Simulation

Abstract: Aiming at the non-linear, large inertial, uncertain parameters and multi-disturbances of the main steam temperature object in power plants, a mixed H2/H∞ optimal PID control scheme was designed. The multiplicative perturbed boundary of the H∞ and the effective range of the PID controller parameters were given under the system being closed-loop stability. An improved gravitational search algorithm was proposed in order to obtain optimum performance indicators. The effectiveness of the algorithm was supported through testing on typical test functions, then the algorithm was applied to optimize the parameters of the main steam temperature system Mixed …

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Modeling Method Based On Reachable Set For Safety Path In Autonomous Vehicle Obstacle Avoidance, Cao Kai, Xiaoxiao Huang, Yu Yun, Liu Chun Jul 2020

Modeling Method Based On Reachable Set For Safety Path In Autonomous Vehicle Obstacle Avoidance, Cao Kai, Xiaoxiao Huang, Yu Yun, Liu Chun

Journal of System Simulation

Abstract: In view of problem in all possible uncertain behavior of vehicle unable existed by the traditional path planning algorithm, a modeling method was proposed which deemed a moving vehicle as a hybrid system switching dynamically between continuous and discrete mode, modeled an optimal trajectory for vehicle obstacle avoidance by using a single security target location, and built a safe state reachable set based on the trajectory beam of multiple security target locations. On this basis, the condition of the inevitable collision of vehicle was analyzed, and the optimal control problem with loose constraints for the vehicle obstacle avoidance was …

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Orthogonal Experimental Optimization Design For Improving Aerodynamic Characteristics Of Hovering Air Vehicle, Yanan Yu Jul 2020

Orthogonal Experimental Optimization Design For Improving Aerodynamic Characteristics Of Hovering Air Vehicle, Yanan Yu

Journal of System Simulation

Abstract: Vertical hovering MAV model with flexible aerodynamic shape was proposed. The passive adaptive deformation that produced on the aerodynamic shape was designed to absorb disturbance from outside airflow pressure, and furthermore to improve aircraft's disturbance resistance ability. Multiple factors' effects for aircraft's aerodynamic characteristics were analyzed, such as structural geometrical parameters, candidate material properties, and environmental parameters. The orthogonal experimental analysis of aircraft aerodynamic forces was accomplished, which include the forces produced in the horizontal and vertical direction. The significant factors effecting on the flight performance were discussed and the best response value in the selected parameter range was …

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Spring Unit Equivalent Model Of Steam Turbo-Generator Radial Fixture, Shouqun Sun, Huifang Wei, Haihui Xu Jul 2020

Spring Unit Equivalent Model Of Steam Turbo-Generator Radial Fixture, Shouqun Sun, Huifang Wei, Haihui Xu

Journal of System Simulation

Abstract: The fixed structure of turbo-generator stator end was studied. Bottom-up modelling method was applied to establish the finite element model. The method calculating the combined stiffness of the connection structure and effective contact area was proposed, which used conical symmetric mid plane. Combined with spring-damper unit, insulated screw was analysed by finite element simulation. The stator winding end as a whole system was for modal analysis. Corresponding natural frequency and vibration model were acquired. Hammering test method and modal testing system were applied to calculate the steam turbine end natural frequency. Compared with the experimental result, the text given …

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Dynamic Stochastic Relay Selection Algorithm In Peer-To-Peer Networks, Chengwei Zhang, Wenqing Cheng, Hei Xiaojun Jul 2020

Dynamic Stochastic Relay Selection Algorithm In Peer-To-Peer Networks, Chengwei Zhang, Wenqing Cheng, Hei Xiaojun

Journal of System Simulation

Abstract: A stochastic routing algorithm for selecting appropriate relay nodes in peer-to-peer networks was proposed. This algorithm was constructed using a stochastic programming framework by leveraging the actual delay of local links and the statistical delay distributions of non-local overlay links. In order to approximate the statistical delay distribution of non-local overlay links, the historical delay values of each link were utilized to approximate the link delay distribution. This algorithm was fully distributed and the stochastic link measurement data could be updated between neighboring nodes at a longer time granularity to reduce routing overhead. This algorithm and …

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Bifurcation Multi-Path Grooming Algorithm In Multi-Granularity Transport Network, Guangwei Lei, Xingwei Wang, Huang Min, Zhao Yue Jul 2020

Bifurcation Multi-Path Grooming Algorithm In Multi-Granularity Transport Network, Guangwei Lei, Xingwei Wang, Huang Min, Zhao Yue

Journal of System Simulation

Abstract: Recent years, with the rapid development and wide use of multi-granularity transport network, the pressure of backbone transmission network has been alleviated to some extent. However, the growing user demands to the Internet make network power consumption and bandwidth still face severe challenge. To deal with it, a bifurcation multi-path grooming algorithm was proposed and its associated bandwidth allocation strategy was devised to reduce power consumption and blocking rate. The proposed algorithm has been implemented by simulation and the evaluation results show that its performance is better than that of the benchmark.

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Research On Modeling Of Pump Model Based On Rbf Neural Network, Qinghui Wu, Qinghuan Shen, Xinjun Wang Jul 2020

Research On Modeling Of Pump Model Based On Rbf Neural Network, Qinghui Wu, Qinghuan Shen, Xinjun Wang

Journal of System Simulation

Abstract: On the basis of research on pump characteristics and pump model, a modeling method based on RBF neural network with K-means clustering algorithm was proposed. With k-means clustering algorithm the center vector and base width parameters, in which lie in the hidden layer, were optimized by input data sample. The weights between the hidden layer and the output layer were optimized by input-output data sample with least squares method. The neural network models of the pump characteristic and pump comprehensive model were separately trained and checked using the detected data. Its results suggest that reasonably choosing the number of …

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Recent Advances In Finite Element Simulation Of Machining Processes, Caixu Yu, Chunbin Cai, Huang Cui, Erliang Liu Jul 2020

Recent Advances In Finite Element Simulation Of Machining Processes, Caixu Yu, Chunbin Cai, Huang Cui, Erliang Liu

Journal of System Simulation

Abstract: Recently, the finite element simulation technology has been widely applied in machining simulation and has played an irreplaceable role in the investigations of machining mechanism of metal and composite materials, optimization of cutting parameters,etc. The importance of finite element simulation, commonly used software and material constitutive model were introduced. The latest research progress of the finite element simulation of cutting at home and abroad was summarized, including the simulation of chip morphology, the simulation of cutting force and cutting temperature, tool wear simulation, the machined surface integrity, simulation of the effect of multi-steps cutting on cutting process and finite …

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A Half- Yearly E-Newsletter Of The Department Of Computer Science And Engineering, Manipal Institute Of Technology - Jul 2020, Ashalatha Nayak Jul 2020

A Half- Yearly E-Newsletter Of The Department Of Computer Science And Engineering, Manipal Institute Of Technology - Jul 2020, Ashalatha Nayak

Faculty work

No abstract provided.

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Interdisciplinary Education Outreach With Traffic Sensor Build Kits, Sarah V. Hernandez, Mariah B. Crews Jul 2020

Interdisciplinary Education Outreach With Traffic Sensor Build Kits, Sarah V. Hernandez, Mariah B. Crews

Civil Engineering Teaching and Learning

The goal of this project was to attract K-12 students to transportation engineering careers through STEM outreach programs. To accomplish this goal, the object of the project was to design and implement maritime freight oriented educational outreach activities centered on traffic sensing technologies for middle, high school, and first-year college students. In MarTREC Project 5011 (Evaluating the Performance of Intermodal Connectors), the research team designed a low-cost, easily implementable LiDAR and Bluetooth sensor bundle that was capable of detecting, characterizing, and tracking freight trucks as they traveled to and from inland waterway port areas. The sensor provided data necessary to …

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Noisy Importance Sampling Actor-Critic: An Off-Policy Actor-Critic With Experience Replay, Miriam A M Capretz, Norman Tasfi Jul 2020

Noisy Importance Sampling Actor-Critic: An Off-Policy Actor-Critic With Experience Replay, Miriam A M Capretz, Norman Tasfi

Electrical and Computer Engineering Publications

This paper presents Noisy Importance Sampling Actor-Critic (NISAC), a set of empirically validated modifications to the advantage actor-critic algorithm (A2C), allowing off-policy reinforcement learning and increased performance. NISAC uses additive action space noise, aggressive truncation of importance sample weights, and large batch sizes. We see that additive noise drastically changes how off-sample experience is weighted for policy updates. The modified algorithm achieves an increase in convergence speed and sample efficiency compared to both the on-policy actor-critic A2C and the importance weighted off-policy actor-critic algorithm. In comparison to state-of-the-art (SOTA) methods, such as actor-critic with experience replay (ACER), NISAC nears the …

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Deep Learning For Real-World Object Detection, Xiongwei Wu Jul 2020

Deep Learning For Real-World Object Detection, Xiongwei Wu

Dissertations and Theses Collection (Open Access)

Despite achieving significant progresses, most existing detectors are designed to detect objects in academic contexts but consider little in real-world scenarios. In real-world applications, the scale variance of objects can be significantly higher than objects in academic contexts; In addition, existing methods are designed for achieving localization with relatively low precision, however more precise localization is demanded in real-world scenarios; Existing methods are optimized with huge amount of annotated data, but in certain real-world scenarios, only a few samples are available. In this dissertation, we aim to explore novel techniques to address these research challenges to make object detection algorithms …

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Born-Digital Preservation: The Art Of Archiving Photos With Script And Batch Processing, Rachel S. Evans, Leslie Grove, Sharon Bradley Jul 2020

Born-Digital Preservation: The Art Of Archiving Photos With Script And Batch Processing, Rachel S. Evans, Leslie Grove, Sharon Bradley

Articles, Chapters and Online Publications

With our IT department preparing to upgrade the University of Georgia’s Alexander Campbell King Law Library (UGA Law Library) website from Drupal 7 to 8 this fall, a web developer, an archivist, and a librarian teamed up a year ago to make plans for preserving thousands of born-digital images. We wanted to harvest photographs housed only in web-based photo galleries on the law school website and import them into our repository’s collection. The problem? There were five types of online photo galleries, and our current repository did not include appropriate categories for all of the photographs. The solution? Expand our …

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Flood Prediction Using Artificial Neural Networks: Empirical Evidence From Mauritius As A Case Study, A. Z. Dhunny, Reena H. Seebocus, Z. Allam, Mohammad Yasser Chuttur Jul 2020

Flood Prediction Using Artificial Neural Networks: Empirical Evidence From Mauritius As A Case Study, A. Z. Dhunny, Reena H. Seebocus, Z. Allam, Mohammad Yasser Chuttur

Knowledge Engineering and Data Science

Artificial Neural Networks (ANN) has been well studied for flood prediction. However, there is not enough empirical evidence to generalize ANN applicability to small countries with microclimates prevailing in a small geographical space. In this paper, we focus on the climatic conditions of Mauritius for which we seek to investigate the accuracy of using ANN to predict flooding using locally collected data from 11 meteorological stations spread across the country. The ANN model for flood prediction presented in this work is trained using 20,000 climate data records, collected over a period of two years for Mauritius. Our input climate features …

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