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Xiang Gao,Wen-Li Ai,Huan Gong,Li-Juan Cui,Bo-Xia Chen,Hong-Yi Luo,Zhong-Chun Zhang,Bao-Sheng Qiu 한국식물생명공학회 2016 Plant biotechnology reports Vol.10 No.2
Transgenic research was preformed by transferring a cyanobacterial (Nostoc flagelliforme) iron superoxide dismutase gene (NfFeSOD) into heavy metal hyperaccumulator Sedum alfredii via Agrobacterium-mediated method. Beyond expectation, NfFeSOD-overexpressing S. alfredii plants exhibited profound impairments, including plant growth retardation, abnormal root architecture, and reduced leaf greenness, photosynthetic efficiency and metal accumulation efficiency. Although transgenic plants appeared physiologically sensitive to high temperature, a higher relative biomass growth was still observed under long-term high temperature and osmotic stresses. Further investigation found that reactive oxygen species (ROS) homeostasis of transgenic plants was significantly affected, being ~50 % reduction of H2O2 level relative to wild-type plants. Gene transcription including ROS responsive genes was overall attenuated in transgenic plants, being more significant at normal temperature than at high temperature. In addition, ascorbate peroxidase (APX) activity was increased nearly twofolds in transgenic plants as compared to wild-type control. It may be inferred that ectopic NfFeSOD overexpression gives rise to a substantial increase of APX activity and leads to a sharp reduction of H2O2 level, thus impairing basal ROS signaling and plant growth. Specific genetic background of S. alfredii may be responsible for this sharp reduction of H2O2 level induced by NfFeSOD overexpression. S. alfredii plant has acclimated to elevated levels of ROS induced by heavy metals in native habitats and should require high ROS levels for basal signaling. We thus suppose that a sustained disturbance of high basal ROS signaling in metal hyperaccumulators may instead incur very sensitive response and thus result in profound growth impairments.
Dynamic Hand Gesture Trajectory Recognition Based on Block Feature and Skin-Color Clustering
Zhang Qiu-yu,Lv Lu,Lu Jun-chi,Zhang Mo-yi,Duan Hong-xiang 보안공학연구지원센터 2016 International Journal of Multimedia and Ubiquitous Vol.11 No.12
In recent years, dynamic hand gesture recognition has been a research hotspot of human-computer interaction. Since most existing algorithms contain problems with high computational complexity, poor real-time performance and low recognition rate, which cannot satisfy the need of many practical applications. Moreover, key frames obtained by inter-frame difference degree algorithm contain less information, which leads to less identified species and lower recognition rate. To solve these problems, we present a dynamic hand gesture trajectory recognition method based on the theory of block feature to extract key frames and the skin-color clustering’s hand gesture segmentation. Firstly, this method extracts block feature of degree of difference between frames in hand gesture sequence to select key frames accurately. Secondly, the method based on skin-color clustering is applied to obtain the area of hand gesture after segmenting hand gestures from images. Finally, hidden Markov model (HMM), in which the angle data of hand gesture trajectories are input, is used for modeling and identifying dynamic hand gestures. Experimental results show that the method of key-frame extraction is used to obtain information of dynamic hand gestures accurately, which would improve the recognition rate of dynamic hand gesture recognition and, at the same time, can guarantee the real-time of hand gesture recognition system. The average recognition rate is up to 86.67%, and the average time efficiency is 0.39s.
Zhang Qiu-yu,Lu Jun-chi,Wei Hui-yi,Zhang Mo-yi,Duan Hong-xiang 보안공학연구지원센터 2016 International Journal of Signal Processing, Image Vol.9 No.6
In order to improve the problems of segmentation accuracy and real-time existing in dynamic hand gesture under complex backgrounds, this paper presents a kind of dynamic hand gesture segmentation method based on improved Kalman filter and weighted skin-color model. Firstly, improved Kalman filter is utilized to process hand gesture image of hand gesture video sequences and get rough hand gesture results. Secondly, weighted skin-color model is applied to process rough results of hand gesture segmentation and segment hand gesture. Finally, morphological method is utilized to deal with gesture segmentation result, getting rid of the holes in the hand gesture’s binary image to realize the segmentation of dynamic hand gesture. Experiments show that the proposed method can segment hand gesture from dynamic hand gesture video sequences with complex backgrounds effectively. And the accuracy of hand gesture segmentation is high.
A Dynamic Gesture Trajectory Recognition Based on Key Frame Extraction and HMM
Zhang Qiu-yu,Lv Lu,Zhang Mo-yi,Duan Hong-xiang,Lu Jun-chi 보안공학연구지원센터 2015 International Journal of Signal Processing, Image Vol.8 No.6
Aiming at changing high computational complexity, underdeveloped real time, low recognition rate of dynamic gesture recognition algorithms, this paper present a real-time dynamic gesture trajectory recognition method based on key frame extraction and HMM. Key frames are selected without keeping track of all the details of one dynamic gesture, which is based on difference degree between frames. The trajectory data stream, sorted by the time-warping algorithm, is used to construct the Hidden Markov Method model of dynamic gesture. Finally, optimal transition probabilities are employed to implement dynamic gesture recognition. The result of this experiment implies that this method has high robustness and real time. The average recognition rate of dynamic gesture (0~9) is up to 87.67%, and average time efficiency is 0.46s.
Hand Gesture Segmentation Method Based on YCbCr Color Space and K-Means Clustering
Zhang Qiu-yu,Lu Jun-chi,Zhang Mo-yi,Duan Hong-xiang,Lv Lu 보안공학연구지원센터 2015 International Journal of Signal Processing, Image Vol.8 No.5
Aiming at the problems that current skin-color detection segmentation technologies have unsatisfied segmentation results under conditions of complex illumination or backgrounds, we present a new method based on YCbCr color space and K-means clustering algorithm for segmentation hand gesture. Firstly, image in RGB color space is converted to YCbCr color space; and then YCbCr color space of image is divided into luminance Y and chrominance Cb and Cr. Lastly, the binary image is achieved by clustering values of chrominance using k-means clustering algorithm, and hand gesture segmentation is completed by conducting morphological process of binary image obtained. The experimental results illustrate that the proposed method can segment hand gestures from complex backgrounds and obtain segmentation results. The phenomena of similar skin color interference and skin color overlapping are solved with this method effectively. In addition, it is robust to illumination condition.
Hua-Yi Lin,De-Jun Pan,Xin-Xiang Zhao,Zhi-Ren Qiu 보안공학연구지원센터 2008 International Journal of Security and Its Applicat Vol.2 No.3
This study proposes a pre-deployment key management scheme that requires a few memory capacities and CPU computations to address secure data transmissions in Wireless Sensor Networks (WSNs). The proposed scheme exploits threshold key management mechanisms by Lagrange Interpolation polynomial generating a key set for sensor nodes, and uses symmetric and irreversible cryptography schemes to encrypt transmitted data by the generated keys with Message Authentication Code (MAC). The sensor nodes merely have to aggregate and encrypt received data without complicated cryptography operations. The proposed approach can achieve rapid and efficient secure data transmissions with low communications, and is proper to be implemented on large-scale sensor networks.
Weng, Ling-Ling,Xiang, Jian-Feng,Lin, Jin-Bo,Yi, Shang-Hui,Yang, Li-Tao,Li, Yi-Sheng,Zeng, Hao-Tao,Lin, Sheng-Ming,Xin, Dong-Wei,Zhao, Hai-Liang,Qiu, Shu-Qi,Chen, Tao,Zhang, Min-Guang Asian Pacific Journal of Cancer Prevention 2014 Asian Pacific journal of cancer prevention Vol.15 No.24
Liver cancer is one of leading digestive malignancies with high morbidity and mortality. There is an urgent need for the development of novel therapies for this deadly disease. It has been proven that asparagus polysaccharide, one of the most active derivates from the traditional medicine asparagus, possesses notable antitumor properties. However, little is known about the efficacy of asparagus polysaccharide as an adjuvant for liver cancer chemotherapy. Herein, we reported that asparagus polysaccharide and its embolic agent form, asparagus gum, significantly inhibited liver tumor growth with transcatheter arterial chemoembolization (TACE) therapy in an orthotopic hepatocellular carcinoma (HCC) tumor model, while significantly inhibiting angiogenesis and promoting tumor cell apoptosis. Moreover, asparagine gelatinous possessed immunomodulatory functions and showed little toxicity to the host. These results highlight the chemotherapeutic potential of asparagus polysaccharide and warrant a future focus on development as novel chemotherapeutic agent for liver cancer TACE therapy.
Risk Factors for Cervical Cancer in Rural Areas of Wuhan China: a Matched Case-control Study
Zhang, Bin,Zhou, Ai-Fen,Zhu, Chang-Cai,Zhang, Ling,Xiang, Bing,Chen, Zhong,Hu, Rong-Hua,Zhang, Ya-Qi,Qiu, Lin,Zhang, Yi-Ming,Xiong, Chao-Du,Du, Yu-Kai,Shi, Yu-Qin Asian Pacific Journal of Cancer Prevention 2013 Asian Pacific journal of cancer prevention Vol.14 No.12
Cervical cancer is a serious public health problem in developing countries. We investigated possible risk factors for cervical cancer in rural areas of Wuhan China using a matched case-control study with 33 women diagnosed with cervical cancer and 132 healthy women selected from the same area as matched controls. A questionnaire, which included questions about general demography conditions, environmental and genetic factors, the first sexual intercourse, first marriage age, age at first pregnancy, pregnancy first child's age, female personal health history, social psychological factors, dietary habits, smoking and alcohol status and other living habits was presented to all participants. At the same time, HPV infection of every participant was examined in laboratory testing. Results showed HPV infection (P<0.000, OR=23.4) and pregnancy first child's age (P<0.000, OR=13.1) to be risk factors for cervical cancer. Menopause (P=0.003, OR=0.073) was a protective factor against cervical cancer. However, there was no indication of associations of environmental (drinking water, insecticide, disinfectant) genetic (cancer family history), or life-style factors (smoking status, alcohol status, physical training, sleep quality), including dietary habits (intake of fruit and vegetable, meat, fried food, bean products and pickled food) or social psychological factors with cervical cancer. The results suggest that the risk of cervical cancer in Chinese rural women may be associated with HPV infection, menopause and the pregnancy first child's age.