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      • SCIESCOPUSKCI등재

        Prevalence of Cystic Echinococcosis in Slaughtered Sheep as an Indicator to Assess Control Progress in Emin County, Xinjiang, China

        Shijie Yang,Weiping Wu,Tian Tian,Jiangshan Zhao,Kang Chen,Qinyan Wang,Zheng Feng 대한기생충학열대의학회 2015 The Korean Journal of Parasitology Vol.53 No.3

        Hydatid disease imposing serious threat on human health and great loss in live¬stock pastoralism remains a major public health problem in western China. To assess and monitor the effect of control program on transmission dynamics, we used the prevalence of cystic echinococcosis in slaughtered sheep at slaughterhouse as an indicator during the period of 2007 to 2013 in Emin County, Xinjiang Uygur Autonomous Region, China. The results showed a significant decline trend of prevalence in all age groups during the 7 years when the control program was implemented; particularly, the rate was reduced by 72% after first 3 years. Among the sheep slaughtered, the age distribution evidenced that the prevalence increased significantly as the sheep grew older. The baseline data indicated that the rate was 4.5% at the age <1, 6.7% at age 2~, and reached to the highest 17.9% at age ≥4 years. Earlier response to the intervention pressure was seen in the sheep at the younger age. Significant decline started from 2008 at the age <1, from 2009 at age of 1~, 2010 at 2~ to 3~, and the latest, in 2012 at age ≥4. This study demonstrated that the prevalence of cystic echinococcosis in slaughtered sheep may be used as an indicator to assess and monitor the transmission status during and after control program providing information for betterment of performance to sustain control strength.

      • KCI등재

        Estimation of remaining energy and available power for Li‑Ion battery packs considering energy consumption by heat convection

        Yafeng Zheng,Chunyu Wang,Shijie Sang,Suoqing Yu 전력전자학회 2023 JOURNAL OF POWER ELECTRONICS Vol.23 No.1

        To realize the efficient use of battery residual energy, this paper attempts to estimate both the state of energy (SoE) and the state of available power (SoAP) for li-ion battery packs. First, the parameters of a 1st-order equivalent circuit model are identified online where the charging and discharging resistances are separately modeled. Then a state of energy estimator, considering the energy dissipation by heat convection, is designed using an unscented particle filter. Afterwards, multiple constraints in terms of cut-off voltages, recommended residual energy, extreme currents, and powers are incorporated to aid in SoAP prediction. Experiments on a 4-cell battery pack using a high-dynamic load profile show that the SoE estimator is reliable against various working conditions. The predicted SoAP with different time horizons and at different temperatures can avoid the conflicts with the preset constraints while giving reliable predictions.

      • KCI등재

        A highly efficient multi-stage dielectric barrier discharge (DBD)-catalytic system for simultaneous toluene degradation and O3 elimination

        Xinyu Hu,Shijie Li,Xiaoqing Dang,Yufei Zhang,Qian Zhang,Huachun Zheng 한국공업화학회 2022 Journal of Industrial and Engineering Chemistry Vol.105 No.-

        DBD-catalytic system has been widely studied for volatile organic compounds abatement, whereas howto obtain high mineralization rate and low zone emission synchronously remains a challenge. In view ofthis, a new type of multi-stage DBD-catalytic system (MS1) was established to abatement toluene in thisstudy. The mineralization rates of reactors IPC (63.81%) and MS1 (61.14%) were much higher than MS2,PPC1 and PPC2 reactors, which were 48.36%, 46.84%, and 5.8% at 33.8 (Vp-p) kV, respectively. For exportozone concentration, IPC reactor had the highest concentration of 160 ppm, and the values of reactorsMS1, MS2, PPC1, and PPC2 were 79, 34.2, 34.25 and 29 ppm, respectively. The catalyst filled in zone IIcan be utilized to further decompose the residual toluene and intermediates and also promote thedecomposition of ozone, which lead to the superior performance of the MS1 reactor. The influence ofapplied voltage, adsorbed amount, and discharge time on the toluene removal performance was investigatedto optimize the operation parameters of MS1 reactor, their appropriate values were 28.3–31.1 (Vpp)kV, 0.179–0.223 mmol, 1 h, respectively. Lastly, the contribution of disparate zones in multi-stageDBD-catalytic system to the toluene degradation were elucidated on the basis of the GC–MS results.

      • KCI등재

        Stereovision-based Crack Width Detection Approach for Concrete Surface Assessment

        Baohua Shan,Shijie Zheng,Jin-ping Ou 대한토목학회 2016 KSCE JOURNAL OF CIVIL ENGINEERING Vol.20 No.2

        To quantitatively evaluate crack width of concrete structures surface, this paper presents a stereovision-based crack width detection method. Compared with the traditional visual inspection with single camera, this approach uses a pair of cameras to capture cracks images for recovering 3D coordinates of crack edge, and does not needs scale attached to concrete surface for converting measurement unit. A novel Canny-Zernike combination algorithm is utilized to obtain the image coordinates of crack edge in the left crack image, this combination algorithm can achieve 0.02 subpixel precision. The 3D coordinates of crack edge are acquired by projecting crack edge curve on concrete surface where cracks are located. The crack width is assessed by the minimum distance between two sides of crack edge. The detection tests are conducted on three concrete beams destroyed in static test, and the crack width of two inspection zones on each beam is acquired. Experimental results indicate that the stereovision-based crack width detection approach can accurately measure the crack width compared with the crack width gauge or the vernier calliper. This verifies the proposed method is applicable and useful for assessing the crack width of concrete surface.

      • Research and risk control of high-energy electronic ignition system of turbo-charged lean-burn CNG engine

        Chen Qiping,Zheng Shijie,Sui Yanfei 인하대학교 정석물류통상연구원 2009 인하대학교 정석물류통상연구원 학술대회 Vol.2009 No.10

        With more and more stringent emissions requirements of the vehicles, the development of alternative fuel vehicles and the use of electronic control systems have become the present trend of development. At present, the research and development of natural gas engine are becoming the focus of China’s automobile engines industry. The turbo-charged lean combustion natural gas single-fuel engines require high-energy ignition system because of its own characteristics. The high-energy ignition control circuit and the ignition trigger circuit were designed, which satisfied the high-energy ignition needs of the spark plugs. Ignition knock sensor signal conditioning circuit was used to automatically check and adjust the engine knock function in order to control the engine knock and the risk of losing fire of the engines. C language was adopted to write the procedure on the computer which was subdivided specifically as soon as possible. It was regarded as a unit to program for the function which was easy to connect the interface of the hardware. Through the correct selection of spark plugs and the reasonable matching, which satisfied the needs of bearing high temperature, high voltages, repeated power and high corrosion of the spark plugs? Through real road and bench test, it is showed that the high-energy electron ignition system can basically meet the high energy ignition needs of turbo-charged lean combustion the compressed natural gas(CNG) engine.

      • Chinese Accent Detection Research Based on Features Structured

        Zhao YunXue,Zhang Long,Zheng ShiJie,Zhang Wei 보안공학연구지원센터 2015 International Journal of Hybrid Information Techno Vol.8 No.5

        Accent is a critically important component of spoken communication, and plays a very important role in spoken communication. In this paper, we conduct accent by using MFCC algorithm and RASTA - PLP algorithm to extract short-time spectrum features of each speech segment based on features structured information. We build short-time spectrum feature sets based on MFCC algorithm and RASTA - PLP algorithm. And we choose NaiveBayes classifier to model the two feature sets. NaiveBayes is to choose the class with maximum posteriori probability as the object's class. This classification method makes full use of the related phonetic features of speech segment. Based on short-time spectrum of MFCC feature set and short-time spectrum of RASTA - PLP feature set respectively achieve 82.1% and 80.8% accent detection accuracy on ASCCD. The experimental results indicate that based on sub-segment splicing feature structured method of MFCC and sub-segment splicing feature structured method of RASTA - PLP can be used in Chinese accent detection study.

      • KCI등재

        FEM Simulation and Test Verification of PD Ultrasonic Signal Propagation in a Power Transformer Model

        Zan Wang,Chaofei Gao,Liwei Zheng,Jikun Ren,Wei Wang,Yushuai Zhang,Shijie Han 대한전기학회 2021 Journal of Electrical Engineering & Technology Vol.16 No.1

        Ultrasonic signals will be generated when partial discharge occurs in internal insulation faults in large oil immersed power transformers: because the ultrasonic signal has strong anti-interference ability and has no direct electromagnetic contact with the equipment, it is widely used in transformer fault detection and positioning. In this paper, the fi nite element method (FEM) is used to simulate the ultrasonic signal in a 35 kV power transformer. The infl uence of transformer case on ultrasonic signal propagation is considered, and the propagation law of the ultrasonic signal inside the transformer is obtained. Fabry–Pérot (F–P) fi bre acoustic sensors with a centre frequency of 28 kHz were fabricated. A partial discharge detection test was carried out in a 35 kV transformer winding model using the F–P sensors. The test results show that the ultrasonic waveform detected by the F–P sensors are in good agreement with the simulation results, and the propagation of the ultrasonic wave inside the transformer is verifi ed. It lays a foundation for detecting and locating PDs in power transformer by F–P acoustic sensors.

      • KCI등재

        Integrative metabolome and transcriptome analyses reveal the differences in flavonoid and terpenoid synthesis between Glycyrrhiza uralensis (licorice) leaves and roots

        Kaiqiang Yu,Li Peng,Wenyu Liang,Jing Shi,Guoqi Zheng,Hong Wang,Xinhua Liang,Shijie Wu 한국식품과학회 2024 Food Science and Biotechnology Vol.33 No.1

        Licorice from Glycyrrhiza uralensis roots is used in foods and medicines. Although we are aware that licorice roots and leaves have distinct material compositions, the specific reasons for these differences remain unknown. Comparison of the metabolomes and transcriptomes between the leaves and roots revealed flavonoids and triterpenoid saponins were significantly different. Isoflavones were enriched in roots because of upregulation of genes encoding chalcone isomerase and flavone synthase, which are involved in isoflavone synthesis. Six triterpenoid saponins were significantly enriched only in the roots. The leaves did not accumulate glycyrrhetinic acid because of low expression levels of genes involved in its synthesis. A gene encoding a UDP glycosyltransferase, which likely catalyzes the key step in the transformation of glycyrrhetinic acid to glycyrrhizin, was screened. Our results provide information about the differences in flavonoid and triterpenoid synthesis between roots and leaves, and highlight targets for genetic engineering.

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