The Orientation Dependence of the Real Part of the Ion–Ion Potential between Two Nuclei

1997 ◽  
Vol 12 (28) ◽  
pp. 2065-2075 ◽  
Author(s):  
M. Y. Ismail ◽  
Kh. A. Ramadan ◽  
M. M. Osman ◽  
F. Salah ◽  
A. Y. Ellithi
Keyword(s):  
Energy Density ◽  
Interaction Potential ◽  
Orientation Dependence ◽  
Skyrme Force ◽  
Experimental Results ◽  
Real Potential ◽  
The Real ◽  
Spherical Nuclei

The energy density formalism derived from both the conventional Skyrme force with parameter set SIII and the extended Skyrme force with parameters SKE1, SKE2, SKE3 and SKE4 has been used to study the orientation dependence of the real part of the ion–ion potential for the 238 U + 238 U system. Also, we considered the interaction potential between 238 U and three spherical nuclei. We compared our results for the real potential with the experimental results.

scholarly journals The real potential of current passive satellite data to map aboveground biomass in tropical forests

2021 ◽  
Author(s):  
Nidhi Jha ◽  
Nitin Kumar Tripathi ◽  
Nicolas Barbier ◽  
Salvatore G. P. Virdis ◽  
Wirong Chanthorn ◽  
...  
Keyword(s):  
Tropical Forests ◽  
Satellite Data ◽  
Aboveground Biomass ◽  
Real Potential ◽  
The Real

scholarly journals A Multi-Resolution Approach to GAN-Based Speech Enhancement

2021 ◽  
Vol 11 (2) ◽  
pp. 721
Author(s):  
Hyung Yong Kim ◽  
Ji Won Yoon ◽  
Sung Jun Cheon ◽  
Woo Hyun Kang ◽  
Nam Soo Kim
Keyword(s):  
Speech Enhancement ◽  
Optimal Solution ◽  
Experimental Results ◽  
Generative Adversarial Networks ◽  
The Real ◽  
Multi Scale ◽  
Adversarial Networks ◽  
Speech Characteristics ◽  
Conventional Methods ◽  
Convex Property

Recently, generative adversarial networks (GANs) have been successfully applied to speech enhancement. However, there still remain two issues that need to be addressed: (1) GAN-based training is typically unstable due to its non-convex property, and (2) most of the conventional methods do not fully take advantage of the speech characteristics, which could result in a sub-optimal solution. In order to deal with these problems, we propose a progressive generator that can handle the speech in a multi-resolution fashion. Additionally, we propose a multi-scale discriminator that discriminates the real and generated speech at various sampling rates to stabilize GAN training. The proposed structure was compared with the conventional GAN-based speech enhancement algorithms using the VoiceBank-DEMAND dataset. Experimental results showed that the proposed approach can make the training faster and more stable, which improves the performance on various metrics for speech enhancement.

scholarly journals GazeEMD: Detecting Visual Intention in Gaze-Based Human-Robot Interaction

Robotics ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 68
Author(s):  
Lei Shi ◽  
Cosmin Copot ◽  
Steve Vanlanduit
Keyword(s):  
Cognitive Load ◽  
Real World ◽  
Robotic Manipulator ◽  
Similarity Score ◽  
Human Robot Interaction ◽  
Experimental Results ◽  
The Other ◽  
Robot Interaction ◽  
Run Length ◽  
The Real

In gaze-based Human-Robot Interaction (HRI), it is important to determine human visual intention for interacting with robots. One typical HRI interaction scenario is that a human selects an object by gaze and a robotic manipulator will pick up the object. In this work, we propose an approach, GazeEMD, that can be used to detect whether a human is looking at an object for HRI application. We use Earth Mover’s Distance (EMD) to measure the similarity between the hypothetical gazes at objects and the actual gazes. Then, the similarity score is used to determine if the human visual intention is on the object. We compare our approach with a fixation-based method and HitScan with a run length in the scenario of selecting daily objects by gaze. Our experimental results indicate that the GazeEMD approach has higher accuracy and is more robust to noises than the other approaches. Hence, the users can lessen cognitive load by using our approach in the real-world HRI scenario.

Development of Growth Texture in Nanocrystalline Fe-Ni Alloys

2005 ◽  
Vol 495-497 ◽  
pp. 749-754 ◽  
Author(s):  
Chang Sik Ha ◽  
Yong Bum Park
Keyword(s):  
Energy Density ◽  
Grain Growth ◽  
Fibre Type ◽  
Texture Evolution ◽  
Orientation Dependence ◽  
Texture Development ◽  
Fibre Texture ◽  
Abnormal Growth ◽  
Ni Alloys ◽  
Texture Change

In electroformed pure Ni and Fe-Ni alloys with nanometer-sized crystallites, grain growth that takes place during annealing results in a common texture change. With regard to the macrotextures, the as-deposited textures were of fibre-type characterized by strong <100>//ND and weak <111>//ND components, and the texture development due to grain growth was defined by strong <111>//ND fibre texture with the minor <100>//ND components. It was clarified by means of the microtexture analysis that abnormal growth of the <111>//ND grains occurs in the early stages of grain growth. The possible effects of the abnormal grain growth on the texture evolution have been discussed in terms of the orientation dependence of energy density.

Forecasting Groundwater Level Based on Relevance Vector Machine

2010 ◽  
Vol 121-122 ◽  
pp. 43-47 ◽  
Author(s):  
Li Ying Wang ◽  
Wei Guo Zhao
Keyword(s):  
Groundwater Level ◽  
Kernel Method ◽  
Nonlinear Problems ◽  
Relevance Vector Machine ◽  
Kernel Functions ◽  
Experimental Results ◽  
The Real

Relevance Vector Machine (RVM) is a novel kernel method based on sparse Bayesian, which has many advantages such as its kernel functions without the restriction of Mercer’s conditions, and the relevance vectors are automatically determined and have fewer parameters. In this paper, the RVM model is applied to forecasting groundwater level. The experimental results show the final RVM model achieved is sparser, the prediction precision is higher and the prediction values are in better agreement with the real values. It can be concluded that this technique can be seen as a very promising option to solve nonlinear problems such as forecasting groundwater level.

Semi-supervised learning for raindrop removal on a single image

2021 ◽  
pp. 1-9
Author(s):  
Juan Zhang ◽  
Wenbin Guo
Keyword(s):  
Supervised Learning ◽  
Experimental Results ◽  
Real Image ◽  
Single Image ◽  
The Real ◽  
Rainy Weather

This article propose s a network that is mainly used to deal with a single image polluted by raindrops in rainy weather to get a clean image without raindrops. In the existing solutions, most of the methods rely on paired images, that is, the rain image and the real image without rain in the same scene. However, in many cases, the paired images are difficult to obtain, which makes it impossible to apply the raindrop removal network in many scenarios. Therefore this article proposes a semi-supervised rain-removing network apply to unpaired images. The model contains two parts: a supervised network and an unsupervised network. After the model is trained, the unsupervised network does not require paired images and it can get a clean image without raindrops. In particular, our network can perform training on paired and unpaired samples. The experimental results show that the best results are achieved not only on the supervised rain-removing network, but also on the unsupervised rain-removing network.

Challenges of Introducting Serious Games and Virtual Worlds in Educational Curriculum

2013 ◽  
pp. 425-450
Author(s):  
C. Ribeiro ◽  
J. Pereira ◽  
C. Calado ◽  
C. Ferreira
Keyword(s):  
Learning Environment ◽  
Virtual Worlds ◽  
Serious Games ◽  
Real Potential ◽  
The Real ◽  
Educational Curriculum ◽  
Lessons Learnt ◽  
Open Questions ◽  
Learning Efficacy ◽  
The Impact

Although the impact that Virtual Worlds and Serious Games can have on learning efficacy and efficiency has been recognized, there is still many open questions related to this issue. Specifically there aren’t guidelines or standards to help practitioners introduce this kind of technologies in a learning environment. In this chapter, the authors describe two experiments involving virtual worlds and serious games in a learning environment. These experiments allowed the authors to understand the real potential of this kind of technology, but also some of the difficulties one can come across. The authors hope that the experiments described in this chapter can serve as a basis for similar experiments done by other practitioners. Finally, some of the pitfalls that should be avoided are described as a set of lessons learnt at the end of the chapter.

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