Superhydrophobicity on structured surfaces is frequently achieved via the maintenance of liquid-air interfaces adjacent to the trapped air pockets. These interfaces, however, are subject to instabilities due to the Ca...
详细信息
Superhydrophobicity on structured surfaces is frequently achieved via the maintenance of liquid-air interfaces adjacent to the trapped air pockets. These interfaces, however, are subject to instabilities due to the Cassie-Baxter-to-Wenzel transition and total wetting. The current work examines in situ liquid-air interfaces on a submerged surface patterned with cylindrical micropores using confocal microscopy. Both the pinned Cassie-Baxter and depinned metastable states are directly observed and measured. The metastable state dynamically evolves, leading to a transition to the Wenzel state. This process is extensively quantified under different ambient pressure conditions, and the data are in good agreement with a diffusion-based model prediction. A similarity law along with a characteristic time scale is derived which governs the lifetime of the air pockets and which can be used to predict the longevity of underwater superhydrophobicity.
The equipment system of systems (ESoS) construction risk analysis is great significance to enhance decision-making and management level of information technology ESoS construction. The concept of entropy in the inform...
详细信息
The load balancing problem is becoming the main technical obstacle in HLA distributed simulation development with the increasing scale of distributed simulation system. The solution of task-federate mapping and federa...
详细信息
ISBN:
(纸本)9781849198011
The load balancing problem is becoming the main technical obstacle in HLA distributed simulation development with the increasing scale of distributed simulation system. The solution of task-federate mapping and federate-processor mapping used to be determined based on experiences and the entity is taken as a task granularity in simulations in order to simplify the model in previous studies. Neither the experience methods nor the previous studies could solve the huge communication overhead or load imbalance problem effectively in large scale distributed simulation. The static load balancing optimization of HLA distributed simulation is divided into task-federate mapping and federate-processor mapping, and a two-stage mapping allocation optimization method is proposed in this paper. Decreasing communication overhead of the system is the main mission in the taskfederate mapping stage and the load balancing is studied in the federate allocation stage. The effectiveness of the proposed method, which developed a new direction for static load balancing distribution optimization in distributed simulations, is verified with experiments.
In order to enable the Web data to be applied in a non-Internet environment, overcoming the timeliness of Web data, this study proposes a domain Web data standardization organization method. The domain Web standardiza...
详细信息
To cope with the increasing complexity and constantly changing capability requirements of system-of-systems, an architectural approach for capability mapping and gap analysis is ***, a more specific architecture frame...
详细信息
To cope with the increasing complexity and constantly changing capability requirements of system-of-systems, an architectural approach for capability mapping and gap analysis is ***, a more specific architecture framework is presented. Secondly, on the basis of the analysis of the semantic relationships between constituent architecture data elements, a capability mapping approach is proposed to manage the relations between capabilities and systems based on the mapping matrixes representing associations of core entities. Then, a four-step capability mapping process for the mapping from capabilities to systems is suggested. Moreover, the capability gap analysis on how to identify and fill the capability gaps is also studied. Finally, an example of specific Net-Centric Warfare mission of Precision Engagement is used to illustrate the feasibility of the approach.
The load balancing problem is becoming the main technical obstacle in HLA distributed simulation development with the increasing scale of distributed simulation system. The solution of task-federate mapping and federa...
详细信息
ISBN:
(纸本)9781632660015
The load balancing problem is becoming the main technical obstacle in HLA distributed simulation development with the increasing scale of distributed simulation system. The solution of task-federate mapping and federate-processor mapping used to be determined based on experiences and the entity is taken as a task granularity in simulations in order to simplify the model in previous studies. Neither the experience methods nor the previous studies could solve the huge communication overhead or load imbalance problem effectively in large scale distributed simulation. The static load balancing optimization of HLA distributed simulation is divided into task-federate mapping and federate-processor mapping, and a two-stage mapping allocation optimization method is proposed in this paper. Decreasing communication overhead of the system is the main mission in the task-federate mapping stage and the load balancing is studied in the federate allocation stage. The effectiveness of the proposed method, which developed a new direction for static load balancing distribution optimization in distributed simulations, is verified with experiments.
Absorption loss which is an important characteristic in the field of underwater acoustic, caused by sea water is often neglected in the research on the coverage area of bistatic sonar, in this article, the coverage ar...
详细信息
Absorption loss which is an important characteristic in the field of underwater acoustic, caused by sea water is often neglected in the research on the coverage area of bistatic sonar, in this article, the coverage area of bistatic sonar considering absorption loss is studied. When multistatic sonar works in different modes, detection criterion varies, so the coverage area can't be considered as the direct sum of coverage area of each bistatic sonar unit. This article discussed the coverage area respect to the most relaxed criterion and the most strict criterion.
The passive target tracking problem of multi-sonar belongs to nonlinear problem, and the background noise is not guass noise entirely, so a kind of filtering method which suit for nonlinear and non-guassian system of ...
详细信息
ISBN:
(纸本)9781479913084
The passive target tracking problem of multi-sonar belongs to nonlinear problem, and the background noise is not guass noise entirely, so a kind of filtering method which suit for nonlinear and non-guassian system of is needed. In this paper, the interacting multiple model particle filter which combined by particle filter and interacting multiple model is applied in tracking maneuvering target. Combing the particle filter's ability of disposing nonlinear and non-guass problem and the IMM's ability of tracking target's arbitrary maneuvering, the difficulty that traditional filter encounters in tracking maneuvering target under the circumstance of nonlinear and non-guassian can be solved. The interacting multiple model particle filter is simulated in two different model set, the results indicate that, under the case of model matching, this method has good ability in tracking the maneuvering target of nonlinear and non-guassian system.
Big data processing is receiving significant amount of interest as an important technology to reveal the information behind the data, such as trends, characteristics, etc. MapReduce is considered as the most efficient...
详细信息
Big data processing is receiving significant amount of interest as an important technology to reveal the information behind the data, such as trends, characteristics, etc. MapReduce is considered as the most efficient distributed parallel data processing framework. However, some high-end applications, especially some scientific analyses have both data-intensive and computation-intensive features. Current big data processing techniques like Hadoop are not designed for computation-intensive applications, thus have insufficient computation power. In this paper, we presented Lit, a high performance massive data computing framework based on CPU/GPU cluster. Lit integrated GPU with Hadoop to improve the computational power of each node in the cluster. Since the architecture and programming model of GPU is different from CPU, Lit provided an annotation based approach to automatically generate CUDA codes from Hadoop codes. Lit hided the complexity of programming on CPU/GPU cluster by providing extended compiler and optimizer. To utilize the simplified programming, scalability and fault tolerance benefits of Hadoop and combine them with the high performance computation power of GPU, Lit extended the Hadoop by applying a GPUClassloader to detect the GPU, generate and compile CUDA codes, and invoke the shared library. Our experimental results show that Lit can achieve an average speedup of 1x to 3x on three typical applications over Hadoop.
In recent years, geometry-based image and video processing methods have aroused significant interest. This paper considers progress from four aspects： geometric characteristics and shape, geometric transformations, e...
详细信息
In recent years, geometry-based image and video processing methods have aroused significant interest. This paper considers progress from four aspects： geometric characteristics and shape, geometric transformations, embedded geometric structure, and differential geometry methods. Current research trends are also pointed out.
暂无评论