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Introduction
sensitivity analysis; statistic inference; mathematical modelling
Publications
Publications (35)
Abstract submission is now open for the 10th International Conference on Sensitivity Analysis of Model Output (SAMO). The conference will be held at Florida State University, Tallahassee, Florida. The dates of the conference are March 14 -16, 2022, at the Florida State Conference Center.
See: https://samo2022.math.fsu.edu/
Highlights
• Advances of science and policy has deep but informal roots in sensitivity analysis.
• Modern sensitivity analysis is now evolving into a formal and independent discipline.
• New areas such data science and machine learning benefit from sensitivity analysis.
• Challenges, methodological progress, and outlook are outlined in this specia...
Sensitivity analysis (SA) as a ‘formal’ and ‘standard’ component of scientific development and policy support is relatively young. Many researchers and practitioners from a wide range of disciplines have contributed to SA over the last three decades, and the SAMO (sensitivity analysis of model output) conferences, since 1995, have been the primary...
The targeted compounds included Polychlorinated Biphenyls (PCBs), Pesticides (PESTs), Polycyclic Aromatic Hydrocarbons (PAHs) and so on in the Great Lakes Integrated Atmospheric Deposition Network (IADN), which is a platform based on the IoT (Internet of Things) technology to collect environmental pollutants data. While previous studies usually emp...
Sensitivity analysis provides information on the relative importance of model input parameters and assumptions. It is distinct from uncertainty analysis, which addresses the question ‘How uncertain is the prediction?’ Uncertainty analysis needs to map what a model does when selected input assumptions and parameters are left free to vary over their...
Background and aims:
Functional-structural plant models (FSPMs) describe explicitly the interactions between plants and their environment at organ to plant scale. However, the high level of description of the structure or model mechanisms makes this type of model very complex and hard to calibrate. A two-step methodology to facilitate the calibrat...
In this paper, we proposed a new statistical dependency measure for two random vectors based on copula, called copula dependency coefficient (CDC). The CDC is proved to be robust to outliers and easy to be implemented. Especially, it is powerful and applicable to high-dimensional problems. All these properties make CDC practically important in rela...
Functional Structural Plant models can help to understand plant plasticity. Such a model was developed for winter oilseed rape, based on the GreenLab model. However, the model had a large number of parameters, which made its calibration difficult. In order to simplify the model, we applied sensitivity analysis method to select the most important pa...
In increasingly important sensor grid networks, multicast routing is widely used in date aggregation and distributed query processing. It requires multicast trees for efficient data transmissions. However, sensor nodes in such networks typically have limited resources and computing power. Efforts have been made to consider the space, energy and dat...
Mobile applications are being increasingly deployed on a massive scale in various mobile sensor grid database systems. With limited resources from the mobile devices, how to process the huge number of queries from mobile users with distributed sensor grid databases becomes a critical problem for such mobile systems. While the fundamental semantic c...
A good sensitivity analysis (SA) practice must consider the diverse requirements and limitations of the practice both for the purpose of the analysis in the model design process and from a methodology perspective. Complex mechanistic models are often organized with several modules dynamically describing the diverse multi-physical processes. They ar...
The understanding of gene-environment interaction is a crucial issue in plant breeding. For this objective, mechanistic models of plant growth can help disentangle the genotypic and environmental effects. Each genotype is characterized by a specific vector of model parameters and ideally, these parameters are stable for a certain range of environme...
Mathematical models of plant growth are generally characterized by a large number of interacting processes, a large number of model parameters and costly experimental data acquisition. Such complexities make model parameterization a difficult process. Moreover, there is a large variety of models that coexist in the literature with generally an abse...
Global sensitivity analysis has a key role to play in the design and parameterization of functional-structural plant growth models (FSPM) which combine the description of plant structural development (organogenesis and geometry) and functional growth (biomass accumulation and allocation). Models of this type generally describe many interacting proc...
Global sensitivity analysis has a key role to play in the design and parameterisation of functional–structural plant growth models which combine the description of plant structural development (organogenesis and geometry) and functional growth (biomass accumulation and allocation). We are particularly interested in this study in Sobol's method whic...
Simulating nitrogen economy in crop plants requires formalizing the interactions between soil nitrogen availability, root nitrogen acquisition, distribution between vegetative organs and remobilization towards grains. This study evaluates and analyses the functional-structural and mechanistic model of nitrogen economy, NEMA (Nitrogen Economy Model...
We propose a scheme to reach shorter multicast delay, better energy utilizing efficiency and higher efficiency of data transferring for Sensor Grid. Our scheme calculates the space, energy and data weight vectors in one cluster. Then it searches a new vector composed by the linear combination of the three individual ones. We build game balance equa...
Nitrogen (N) determines multiple aspects of plant growth as well as the nutritional value of the production. However, to avoid negative impacts on environment, the inputs of N fertilizers should be reduced and solutions should be found to ensure an efficient N use by plants. Numerical models simulating crop growth and yield formation from environme...
Developed recently, Functional Structural Models of Plant Growth (FSPM) aim at describing plant structural development (organogenesis and geometry), functional growth (biomass accumulation and allocation) and the complex interactions between both. They serve as a framework to integrate complex biological and biophysical processes in interaction wit...
As one necessary step for a good modeling, this study was aimed at analyzing the sensitivity of GreenLab model for maize. When instantaneous value of biomass generation is considered as the output, the system tends to be linear, the level is above 94% in SRC(Standardized Regression coefficients)study. Conversion efficiency and characteristic surfac...
For massive data transmission in Data Grid supporting radio and wireless, a set of novel hierarchical multicast algorithms is proposed to attain higher efficiency of data transfers. The newly-proposed algorithms first form different clusters, second calculate the space weight vector W' and the data quantity weight vector W'' in very cluster. Then t...
We propose a scheme to attain shorter multicast delay and higher efficiency in the data transfer of sensor grid. Our scheme, in one cluster, seeks the central node, calculates the space and the data weight vectors. Then we try to find a new vector composed by linear combination of the two old ones. We use the equal correlation coefficient between t...
For attained high data multicast efficiency for the P2P database system, the paper proposes a set of novel multicast algorithms. In contrast with the current algorithms, the new algorithms firstly divide the group members into different clusters in terms of static delay distance, then find the central node in the clusters, calculate the space weigh...
According to the characteristic of short-wave frequency-hopped (FH) communication, an OFDM/FH system based on iterative demodulation and decoding is proposed. By combining the advantage of NSD technique and iterative demodulation and decoding, the method could compensate the SNR loss caused by differential modulation and improve the reliability of...
Data Grid is one of the important research subjects in the field of Grid Computing. To get a high efficiency of the system, this paper proposes a set of novel multi-cast algorithms for Data grid, which can achieve shorter multicast delay and less resource consump-tions. In contrast to previous approaches, the algo-rithms in this paper partition the...
This paper proposed a novel software radio platform based on general PC and network. On the platform, the interface to the communication front-end is separated from the workstation task, which ease the workstation to a certain degree; the soft-registration protocols are adopted here to set up the parallel distributed data processing. In the platfor...
The infrastructure of grid information service constituted with highly distributed information providers and aggregate directory
is brought forward on the basis of the characteristic of grid information resources in this paper. The Lightweight Directory Access Protocol (LDAP), one of the base protocols, is also analyzed in this paper. It is put for...
Data Grid is one of the important research fields for Grid Computing. To improve the system efficiency, this paper puts forward the strategies of ring replication and thread replication. Compared with many other replication strategies and considered in different grid infrastructure, the strategies of ring replication and thread replication can boos...
【Abstract】The dynamic updating and replication of LDAP(light weight directory accessprotocol) directorytree would happen frequentlyfo r grid information system isdistr ibuted widely, highlyfault- tolerant,d ynamic and diversiform. Toi mprove the system efficiency,thi s paperputs forward the strategyof caching pluscascading,replication and fast spre...
Global sensitivity analysis (SA) has known an increasing interest to assess the relative importance of parameters in ecological models [Cariboni et al., 2007] or crop models [Makowski et al., 2006]. Such methods have an important role to play in functional-structural plant growth modeling. The complexity of the underlying biological processes, espe...