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Li Guang‐wei,Wang Hui‐min,Yang Wen‐tao,Chen Xiu‐lin,Li Bo‐liao,Chen Yu‐xin 한국곤충학회 2021 Entomological Research Vol.51 No.10
The summer fruit tortrix moth Adoxophyes orana is a seriously damaged leaf roller pest for fruit trees. In this study, we evaluated the effect of five host plants (apple, Malus domestica B.; peach, Prunus persica var. nectarina; apricot, Armeniaca vulgaris Lam.; mulberry, Morus alba L.; and jujube, Ziziphus jujuba M.) on the development, survival, and fecundity of A. orana under laboratory conditions. Results showed that the development times of A. orana on jujube were significantly longer than those on the other four plants. The preimaginal survival rate was influenced by the host plants, which were fed during the larval stage, and with the highest on peach, followed by apple, apricot, and mulberry, and with the lowest on jujube. Adult females from larvae reared on apricot laid the greatest numbers of eggs (318.11 eggs per female), while that on apple, jujube, and mulberry was smaller, and no significant difference was observed among them. The highest intrinsic rate of increase (rm) was observed on peach and apricot; these two fruit trees were considered to be the most suitable host plant for A. orana because of the shorter developmental duration, higher survival rate, and the highest fecundity.
( Tao Tao ),( Jianfeng Yang ),( Wei Wei ),( Marcin Woźniak ),( Rafał Scherer ),( Robertas Damaševičius ) 한국인터넷정보학회 2021 KSII Transactions on Internet and Information Syst Vol.15 No.10
With the rapid development of the Chinese water project, the safety monitoring of dams is urgently needed. Many drawbacks exist in dams, such as high monitoring costs, a limited equipment service life, long-term monitoring difficulties. MEMS sensors have the advantages of low cost, high precision, easy installation, and simplicity, so they have broad application prospects in engineering measurements. This paper designs intelligent monitoring based on the collaborative measurement of dual MEMS sensors. The system first determines the endpoint coordinates of the sensor array by the coordinate transformation relationship in the monitoring system and then obtains the dam settlement according to the endpoint coordinates. Next, this paper proposes a dual-MEMS sensor collaborative measurement algorithm that builds a mathematical model of the dual-sensor measurement. The monitoring system realizes mutual compensation between sensor measurement data by calculating the motion constraint matrix between the two sensors. Compared with the single-sensor measurement, the dual-sensor measurement algorithm is more accurate and can improve the reliability of long-term monitoring data. Finally, the experimental results show that the dam subsidence monitoring system proposed in this paper fully meets the engineering monitoring accuracy needs, and the dual-sensor collaborative measurement system is more stable than the single-sensor monitoring system.
Tao Xu,Lingxu Guo,Wei Wei,Xiaoxue Wang,Chengshan Wang,Jun Lin,Tianchu Li 대한전기학회 2016 Journal of Electrical Engineering & Technology Vol.11 No.2
The increasing penetration of distributed energy resources on the distribution networks have brought a number of technical impacts where voltage and thermal variations have been identified as the dominant effects. Active network management in distribution networks aims to integrate distributed energy resources with flexible network management so that distributed energy resources are organized to make better use of existing capacity and infrastructure. This paper propose active solutions which aims to solve the voltage and thermal issues in a distributed manner utilizing a collaborative approach. The proposed algorithms have been fully tested on a distribution network with distributed generation units.
Tao Wei,Guangli Guo,Huaizhan Li,Lei Wang,Xiangsheng Yang,Yuezong Wang 대한토목학회 2022 KSCE JOURNAL OF CIVIL ENGINEERING Vol.26 No.5
Accurately detecting the location of the goafs is an effective method for coordinating underground mining and surface engineering construction and realizing illegal mining supervision. Aiming at the problems of the existing solution methods of goaf spatial characteristic parameters, a spatial location identification method of coal underground goaf with fusing minimal unit probability integration method and optimized quantum annealing is proposed. Meanwhile, to study the characteristics and stability of the proposed model, the advantages and disadvantages of space movement vector data, the robust ability of the method, and the application of multi-source data are discussed in the Discussions. Finally, the achievements of this paper apply to 1414 (1) working face of Gubei Coal Mine in Huainan. The results show the model can accurately identify the location and boundary of the goaf. The research achievements have important theoretical and practical significance for solving problems of land resource reuse in mining areas lacking geological mining data, coal mine safety production, and the supervision of illegal mining.
One Improved RLWE-based FHE and Fast Private Information Retrieval
( Wei-tao Song ),( Bin Hu ),( Xiu-feng Zhao ) 한국인터넷정보학회 2019 KSII Transactions on Internet and Information Syst Vol.13 No.12
With the rapid development of cloud computing, it raises real questions on privacy protection, which greatly limits the use of cloud computing. However, fully homomorphic encryption (FHE) can make cloud computing consistent with privacy. In this paper, we propose a simpler FHE scheme based on ring LWE problem, with a smaller size of ciphertext and a lower noise-expansion factor for homomorphic multiplication. Then based on our optimized RLWE-based FHE scheme, we propose a fast single-database private information retrieval protocol, combining with batching and number theoretic transform technology.
Class Incremental ELM and Application for Image Recognition
Wei Tao,Ji Xin-Sheng 보안공학연구지원센터 2016 International Journal of Signal Processing, Image Vol.9 No.9
In image recognition field, the fact is that the trained image classifier can not recognize the images, whose class type is not the same as the training data. To resolve this problem, a new image classifier is proposed, which is based on the class incremental extreme learning machine. The new classifier can recognize the normal images well, label them with new labels, and update itself with the new labeled data. Tested on the real-world daily activity data set, the results show that our algorithm performs well.
Image Stitching with Robust Principal Component Analysis
Wei Tao,Zhang Yongxin,Yuan Yating,Ji Xinsheng 보안공학연구지원센터 2016 International Journal of Signal Processing, Image Vol.9 No.12
An image stitching algorithm based on the robustness of principal component analysis (RPCA) is proposed in an effort to suppress the influence of noise in the image stitching quality. This algorithm represents high dimensional feature data by utilizing a lower dimensional linear subspace, and converts the image stitching problem into a principal component matrix matching problem. Through the use of a low rank matrix, the extraction of salient image characteristics is recovered and the noise interference is reduced during the enhancement process. Together, with the advantages of the RPCA algorithm, the algorithm improves the PSNR of the image while maintaining its strong matching ability. Experimental results show that the proposed scheme is able to significantly inhibit the noise and improve the stitching quality in comparison to the other existing stitching methods.
Wei, Wei-Hong,Cai, Xiu-Yu,Xu, Tao,Zhang, Guo-Yi,Wu, Yong-Feng,Feng, Wei-Neng,Lin, Li,Deng, Yan-Ming,Lu, Qiu-Xia,Huang, Zhe-Li Asian Pacific Journal of Cancer Prevention 2012 Asian Pacific journal of cancer prevention Vol.13 No.3
Background and Purpose: Cisplatin is the most common chemotherapeutic agent for loco-regionally advanced nasopharyngeal carcinoma (NPC); however, toxicity is a limiting factor for some patients. We retrospectively compared the efficacy and toxicity of weekly docetaxel-based and cisplatin-based concurrent chemoradiotherapy in loco-regionally advanced NPC. Methods and Materials: Eighty-four patients with Stage III and IVA-B NPCs, treated between 2007 and 2008, were retrospectively analyzed. Thirty received weekly docetaxel-based concurrent chemotherapy, and 43 were given weekly cisplatin-based concurrent chemotherapy. Radiotherapy was administered using a conventional technique (seven weeks, 2.0 Gy per fraction, total dose 70-74 Gy) with 6-8 Gy boosts for some patients with locally advanced disease. Results: Median follow-up time was 42.3 months (range, 8.6-50.8 months). There were no significant differences in the 3-year loco-regional failure-free survival (85.6% vs. 92.3%; p=0.264), distant failure-free survival (87.0% vs. 92.5%; p=0.171), progression-free survival (85.7% vs. 88.4%; p=0.411) or overall survival (86.5% vs. 92.5%, p=0.298) of patients treated concurrently with docetaxel or cisplatin. Severe toxicity was not common in either group. Conclusions: Weekly docetaxel-based concurrent chemoradiotherapy is potentially effective and has a tolerable toxicity; however, further investigations are required to determine if docetaxel is superior to cisplatin for advanced stage NPC.
Wei Wei,Tao Xu,Xiaoxue Wang,Chengshan Wang,Lingxu Guo,Jun Lin,Tianchu Li 대한전기학회 2016 Journal of Electrical Engineering & Technology Vol.11 No.2
The increasing penetration of distributed energy resources on the distribution networks have brought a number of technical impacts where voltage and thermal variations have been identified as the dominant effects. Active network management in distribution networks aims to integrate distributed energy resources with flexible network management so that distributed energy resources are organized to make better use of existing capacity and infrastructure. This paper propose active solutions which aims to solve the voltage and thermal issues in a distributed manner utilizing a collaborative approach. The proposed algorithms have been fully tested on a distribution network with distributed generation units.