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Prediction of the effectiveness of rolling dynamic compaction using artificial neural networks and cone penetration test data
soil mechanics rolling dynamic compaction artificial neural networks cone penetration test ground improvement
2018/12/25
Rolling Dynamic Compaction (RDC)，which is a ground improvement technique involving non-circular modules drawn behind a tractor，has provided the construction industry with an improved ground compaction...
A new universal dynamic model to describe eating rate and cumulative intake curves
eating rate food intake cumulative intake curves energy intake satiation differential equation(s) mathematical model Universal Eating Monitor restraint
2018/11/12
Background: Attempts to model cumulative intake curves with quadratic functions have not simultaneously taken gustatory stimulation, satiation, and maximal food intake into account.
CONVOLUTIONAL RECOGNITION OF DYNAMIC TEXTURES WITH PRELIMINARY CATEGORIZATION
Dynamic textures Convolutional neural networks Recognition Categorization
2017/6/19
Dynamic Texture (DT) can be considered as an extension of the static texture additionally comprising the motion features. The DT is very wide but the weak studied type of textures that is employed in ...
Determining the optimal selling time of cattle:A stochastic dynamic programming approach
decision analysis farm management simulation
2016/11/11
The world meat market demands competitiveness, and optimal livestock replacement decisions can help to achieve this goal. In the article, there is introduced a novel discrete stochastic dynamic progra...
Dynamic typing is a program analysis targeted at removing runtime tagging and untagging operations in dynamically typed languages. This paper shows that dynamic typing at least as powerful as Henglein...
Non-Invasive Interactive Visualization of Dynamic Architectural Environments
Visualization Exploded View Architecture
2016/5/24
We present a system for interactively producing exploded views of
3D architectural environments such as multi-story buildings. These
exploded views allow viewers to simultaneously see the internal
...
Language Support for Dynamic, Hierarchical Data Partitioning
Legion regions type system independence aliasing hierarchical scheduling
2016/5/24
Applications written for distributed-memory parallel architectures must partition their data to enable parallel execution.As memory hierarchies become deeper, it is increasingly necessary that the dat...
Analysis of Application Sensitivity to System Performance Variability in a Dynamic Task Based Runtime
Application Sensitivity System Performance Variability Dynamic Task Based Runtime
2016/5/24
Application scalability can be significantly impacted by node level performance variability in HPC. While previous studies have demonstrated the impact of one source of variability,OS noise, in messag...
Effects of Applied Electric Fields on the Quantum Yields for the Initial Electron Transfer Steps in Bacterial Photosynthesis:II.Dynamic Stark Effect
Applied Electric Fields Quantum Yields Initial Electron Transfer Steps Bacterial Photosynthesis Dynamic Stark Effect
2016/5/23
The quantum yield of the initial charge separation steps in bacterial photosynthetic reaction centers has been shown to be reduced in an applied electric field [Part I, Lao et al., J. Phys. Chem. 97 (...
Dynamic modelling in loss frequency and severity estimated:Evidence from the agricultural rice loss due to typhoons in Taiwan
BDS statistics chaotic behaviour logistic and exponential smooth transition autoregressive models
2016/3/24
The paper first adopt the BDS test to show that the BDS statistics of the time series of typhoons is a chaotic behaviour while the associated rice damage is random. The authors’ investigations show th...
Efficient GMM Estimation of Spatial Dynamic Panel Data Models
Spatial autoregression Dynamic panels Fixed effects Generalized method of moment
2016/1/26
In this paper we derive the asymptotic properties of GMM estimators for the spatial dynamic panel data model with fixed effects when n is large, and T can be large, but small relative to n. The GMM es...
Predict the Multi-hop Reliability for Receiver Contention Based Routing in Dynamic Link Networks
Dynamic Link Networks Markov Chain Re- ceiver Contention Routing
2016/1/23
We consider dynamic link networks(DLN), where nodes are static, but the links are highly dynamic. Reliable multi-hop communication is critical in such networks, which inspires receiver contention rout...
Minimum Control Latency of Dynamic Networks
Structural controllability Minimum control la- tency Controlling pattern design
2016/1/22
Controlling a dynamic network is interesting and important in practical applications, which is to drive the network from any initial state to any desired state. Much research has been conducted in rev...
DynaDiffuse: A Dynamic Diffusion Model for Continuous Time Constrained Influence Maximization
A Dynamic Diffusion Model Constrained Influence Maximization
2016/1/22
Studying the spread of phenomena in social networks is critical but still not fully solved. Existing influence max-imization models assume a static network, disregarding its evolution over time. We in...
Efficient GMM Estimation of Spatial Dynamic Panel Data Models
Spatial autoregression Dynamic panels Fixed effects
2016/1/20
In this paper we derive the asymptotic properties of GMM estimators for the spatial dynamic panel data model with fixed effects when n is large, and T can be large, but small relative to n. The GMM es...