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- 검색키워드
- 저자 : Haozhan Wang (검색결과 3 건)
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An Improved Classification Model Based on Feature Fusion for Orchid Species
Wang Jianhua,Wang Haozhan,Long Yongbing,Lan Yubin 대한전기학회 2024 Journal of Electrical Engineering & Technology Vol.19 No.3
Orchid is a kind of terrestrial herb and it has elegant fower posture, quiet fower fragrance, rich colors and noble moral, therefore it has high ornamental value and is deeply loved by people. There are many kinds of orchids, and some of them are similar in shape, texture and color, which make people difcult to quickly and correctly distinguish them. As the existing classifcation model of orchid species have the problems of low accuracy rate and long classifcation time because of the inter species similarities and intra species diferences in orchid species, thus infuencing its wide application. In order to solve the problem above, in this paper, an improved classifcation model based on feature fusion is proposed for orchid species. The achievement of the paper lies in the fact that we successfully developed a classifcation model based on feature fusion to realize the high-efcient classifcation for orchid species. Specifcally, in our scheme, frstly we obtained 12 orchid image sets with number of 12,227 images by network and feld photography; Secondly we analyzed and studied the semantic relationship of diferent scale features from acquired orchid images above; Thirdly we designed an improved classifcation model based on feature fusion on the basis of the semantic relationship above; At last, we used the classifcation model above to realize the high-efcient classifcation for 12 orchid species. The experimental results showed that our proposed classifcation model based on feature fusion in this paper can realize 92.98% classifcation accuracy rate compared with classifcation models without using feature fusion technology, which can greatly improve the classifcation efciency for orchid species.
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A Fast CU Size Decision Optimal Algorithm Based on Neighborhood Prediction for HEVC
Jianhua Wang,Haozhan Wang,Fujian Xu,Jun Liu,Lianglun Cheng 한국정보처리학회 2020 Journal of information processing systems Vol.16 No.4
High efficiency video coding (HEVC) employs quadtree coding tree unit (CTU) structure to improve its coding efficiency, but at the same time, it also requires a very high computational complexity due to its exhaustive search processes for an optimal coding unit (CU) partition. With the aim of solving the problem, a fast CU sizedecision optimal algorithm based on neighborhood prediction is presented for HEVC in this paper. The contribution of this paper lies in the fact that we successfully use the partition information of neighborhood CUs in different depth to quickly determine the optimal partition mode for the current CU by neighborhood prediction technology, which can save much computational complexity for HEVC with negligible RDrate(ratedistortion rate) performance loss. Specifically, in our scheme, we use the partition information of left, up, and leftup CUs to quickly predict the optimal partition mode for the current CU by neighborhood prediction technology, as a result, our proposed algorithm can effectively solve the problem above by reducing manyunnecessary prediction and partition operations for HEVC. The simulation results show that our proposed fast CU size decision algorithm based on neighborhood prediction in this paper can reduce about 19.0% coding time, and only increase 0.102% BDrate (Bjontegaard delta rate) compared with the standard reference softwareof HM16.1, thus improving the coding performance of HEVC.
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Haozhan Lia,Hongkang Wei,Huijuan Qiu,Yukang Wanga,Chang-an Wang,Zhipeng Xie 한양대학교 청정에너지연구소 2023 Journal of Ceramic Processing Research Vol.24 No.1
Sub-micron boron carbide powders were synthesized through a gas-solid reaction process using ZIF-8-derived nanoporouscarbon and boron oxide as raw materials. The effects of calcination temperature and atmosphere, amount of boron oxide, andgas-solid reaction apparatus on phase composition and morphology of the synthesized boron carbide powders were studied. The results show that, even with sufficient boron oxide addition, it is not feasible to obtain boron carbide powder of high purityin argon environment. Although vacuum environment can significantly improve the purity of the synthesized boron carbidepowder, there are a large number of large particles of step morphology in the synthesized boron carbide powder. The improvedgas-solid reaction apparatus can effectively impede the formation of boron carbide particles of step morphology. Nearlyspherical submicron boron carbide particles with a median particle size of 480 nm and good particle size consistency couldbe synthesized at 1600 °C with 0.3 g nanoporous carbon and 10 g B2O3 under vacuum by using the improved apparatus
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