In order to reduce network traffic in distributed virtual environment, combined LOD techniques with active interest management based on layered interest management, a layered filtering method based on multi-resolution...
详细信息
This paper addresses the problem of generating a High-resolution (HR) image from a single Low-resolution (LR) image. We propose the super-resolution reconstruction approach based on sparse representation and low-rank ...
详细信息
For active application of many cases, context-aware computing with uncertainty includes forming model, fusing of aware context, managing context information and so on. Approach research on computing of aware context w...
详细信息
For active application of many cases, context-aware computing with uncertainty includes forming model, fusing of aware context, managing context information and so on. Approach research on computing of aware context with uncertainty for making dynamic decision is focused in this paper. We compare dynamic context-aware computing with improved Random Set Theory (RST) and extended D-S Evidence Theory (EDS). We give new modeling mode based on RST for aware context and our computing approach of modeled aware context, extend classic D-S Evidence Theory after considering context's feature. Then compare relative computing methods, enumerate experimental examples and give the evaluation. By comparisons, the more validity of new context-aware computing approach based on RST than EDS with uncertainty information has been tested successfully.
This paper presents a novel approach for replacing textures of specified regions in the input image and video using stretch-based mesh optimization. The retexturing results have the similar distortion and shading effe...
详细信息
In this paper, we investigate the problem of human action recognition from the video. And a posetoaction hierarchical recognition step is adopted. Different from previous works which define some particular distances i...
详细信息
This paper presents a reasoning method based on the combination of Textual CBR and RBR to deal with the case described by the natural language with the intention of resolving the information retrieval in the flight-te...
详细信息
During decision making procedure of active application, the primary signals with noise, which got from each sensor, were sent to a decision making center, the fusion center, through the distributed or centralized comp...
详细信息
During decision making procedure of active application, the primary signals with noise, which got from each sensor, were sent to a decision making center, the fusion center, through the distributed or centralized computer network. The fusion center then formed a final decision based on the primary decisions received from low-level sensors. But multi-sensor heterogeneous information fusion is an extremely challenging problem because of the complex and highly irregular nature of environment. We have designed a kind of new decision fusion method based on sensor evidence for active application in this paper. A fusion model, approach and relative lemma for multi-sensor heterogeneous information has been presented. For decision fusion, we have utilized the approaching relative efficiency performance measure. This method has been tested successfully by our active application projects.
The discovery of invariants and ranking functions plays a central role in program verification. In our previous work, we investigated invariant generation and non-linear ranking function discovering of polynomial prog...
详细信息
Fog computing as a promising technology develops network service quality by bringing resources closer to the end users. Unlike traditional cloud, fog is characterized by sporadic resources availab.lity, geographical d...
详细信息
Pairwise testing, which requires that every combination of valid values of each pair of system factors be covered by at lease one test case, plays an important role in software testing since many faults are caused by ...
详细信息
Pairwise testing, which requires that every combination of valid values of each pair of system factors be covered by at lease one test case, plays an important role in software testing since many faults are caused by unexpected 2-way interactions among system factors. Although meta-heuristic strategies like simulated annealing can generally discover smaller pairwise test suite, they may cost more time to perform search, compared with greedy algorithms. We propose a new method, improved Extremal Optimization (EO) based on the Bak-Sneppen (BS) model of biological evolution, for constructing pairwise test suites and define fitness function according to the requirement of improved EO. Experimental results show that improved EO gives similar size of resulting pairwise test suite and yields an 85% reduction in solution time over SA.
暂无评论