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      • KCI등재

        Fast Search with Data-Oriented Multi-Index Hashing for Multimedia Data

        ( Yanping Ma ),( Hailin Zou ),( Hongtao Xie ),( Qingtang Su ) 한국인터넷정보학회 2015 KSII Transactions on Internet and Information Syst Vol.9 No.7

        Multi-index hashing (MIH) is the state-of-the-art method for indexing binary codes, as it di-vides long codes into substrings and builds multiple hash tables. However, MIH is based on the dataset codes uniform distribution assumption, and will lose efficiency in dealing with non-uniformly distributed codes. Besides, there are lots of results sharing the same Hamming distance to a query, which makes the distance measure ambiguous. In this paper, we propose a data-oriented multi-index hashing method (DOMIH). We first compute the covariance ma-trix of bits and learn adaptive projection vector for each binary substring. Instead of using substrings as direct indices into hash tables, we project them with corresponding projection vectors to generate new indices. With adaptive projection, the indices in each hash table are near uniformly distributed. Then with covariance matrix, we propose a ranking method for the binary codes. By assigning different bit-level weights to different bits, the returned bina-ry codes are ranked at a finer-grained binary code level. Experiments conducted on reference large scale datasets show that compared to MIH the time performance of DOMIH can be improved by 36.9%-87.4%, and the search accuracy can be improved by 22.2%. To pinpoint the potential of DOMIH, we further use near-duplicate image retrieval as examples to show the applications and the good performance of our method.

      • KCI등재

        A Three-Vector-Based Model Predictive Flux Control for PMSM Drives

        Xu Yanping,Hu Miaomiao,Yan Zhongqiao,Zhang Yanping,Ma Hao 대한전기학회 2021 Journal of Electrical Engineering & Technology Vol.16 No.5

        The model predictive fl ux control (MPFC) strategy is an improved method for the weighting factor that is diffi cult to adjust in the traditional model predictive torque control (MPTC). By analyzing the relationship among torque, stator fl ux and load angle, the simultaneous control of torque and stator fl ux amplitude is converted into the control of equivalent references stator fl ux vector, which eliminates directly the weighting factor. However, MPFC also suff ers from high torque and fl ux ripples if only one voltage vector is applied during each control period. In order to solve this problem, a three-vector-based model predictive fl ux control strategy is proposed for permanent magnet synchronous motor in this paper. Three voltage vectors are applied in one control cycle to achieve good control performance of torque and fl ux, and the durations of three vectors are determined based on the principle of stator fl ux deadbeat control. The experimental results show that, compared with the model predictive fl ux control strategy and the optimal duty model predictive fl ux control strategy, the three-vector-based model predictive fl ux control strategy can eff ectively reduce the torque and fl ux ripples, improve the system’s steady-state performance.

      • KCI등재

        High expression of HOXC6 predicts a poor prognosis and induces proliferation and inflammation in multiple myeloma cells

        Li Zhihua,Wang Yaru,Hou Xiaoxu,Guo Luyao,Li Yanling,Ma Yanping,Ma Yanping 한국유전학회 2023 Genes & Genomics Vol.45 No.7

        Background Multiple myeloma (MM) is a common blood system malignance accompanied by monoclonal plasma cell hyperplasia. Homeobox C6 (HOXC6) acts as an oncogene in various cancers, but its function on MM is elusive. Objective The role of HOXC6 on MM development was clarified in this study. Methods HOXC6 expression and its clinical significance were determined in the peripheral blood samples collected from forty MM patients and thirty healthy adult volunteers. The overall survival was evaluated by Kaplan-Meier analysis with the log-rank test. Cell viability, proliferation and apoptosis were measured by CCK-8, EdU assay and Flow cytometry in U266 and MM.1R cells. Tumor growth was estimated by a xenograft assay. The apoptosis of tumor tissues was evaluated using TUNEL staining. The protein level in tissues was tested by immunohistochemistry. Results The HOXC6 expression was elevated in MM and high HOXC6 level was associated with the poor overall survival of MM. Besides, the HOXC6 expression was associated with hemoglobin level and ISS stage. Furthermore, silencing HOXC6 suppressed cell proliferation, induced cell apoptosis, and restrained the secretion of inflammatory factors (TNF-α, IL-6, and IL-8) in MM cells through inactivating the NF-κB pathway. Moreover, silencing HOXC6 suppressed the tumor growth of MM, the inflammatory factors levels, and the activation of NF-κB pathway but enhanced apoptosis in vivo. Conclusion HOXC6 was elevated in MM and associated with poor survival. Knockdown of HOXC6 suppressed proliferation, inflammation and tumorigenicity of MM cells via inactivating the NF-κB pathway. HOXC6 may be a meaningful target for MM therapy.

      • KCI등재

        Development of a 120 Hz 110 ultra-high-definition a-Si liquid crystal display panel

        Yanping Liao,Xibin Shao,Yufan Du,송용지,Weihao Hu,Zhenyu Zhang,Yuqiong Chen,Ying Wang,Qing Ma,윤대근,Dan Wang,Jianfeng Yuan,Hongjiang Wu,Zongjie Guo,Zhaohui Hao,Ji Zhang,Jing Lv 한국정보디스플레이학회 2014 Journal of information display Vol.15 No.2

        A prototype 120 Hz 110-inch ultra-high-definition a-Si liquid crystal display (LCD) panel was successfully developed using the BOE exclusive advanced superdimensional switching technology. This LCD has a panel consisting of 3840 × 2160 pixels, four times the number of pixels in the conventional full-high-definition LCD. For the brightness and contrast ratio, 1000 nits and 1200:1 have been achieved, respectively. Additionally, the liquid crystal charging time has been extended through quad area driving and 2G2D line structures. Furthermore, the local dimming and mirror-scanning techniques are applied to realize excellent image display. Finally, the system utilizes 3D shutter glasses, allowing the viewer to achieve the highest sense of realness and immersion.

      • KCI등재

        Research on fl ow characteristics in supercritical water natural circulation: Infl uence of heating power distribution

        Dongliang Ma,Tao Zhou,Xiang Feng,Yanping Huang 한국원자력학회 2018 Nuclear Engineering and Technology Vol.50 No.7

        There are many parameters that affect the natural circulation flow, such as height difference, heatingpower size, pipe diameter, system pressure and inlet temperature and so on. In general analysis theheating power is often regarded as a uniform distribution. The ANSYS-CFX numerical analysis softwarewas used to analyze the flow heat transfer of supercritical water under different heating power distributionconditions. The distribution types of uniform, power increasing, power decreasing and sinefunction are investigated. Through the analysis, it can be concluded that different power distribution hasa great influence on the flow of natural circulation if the total power of heating is constant. It was foundthat the peak flow of supercritical water natural circulation is maximal when the distribution of heatingpower is monotonically decreasing, minimal when it is monotonically increasing, and moderate atuniform or the sine type of heating. The simulation results further reveal the supercritical water underdifferent heat transfer conditions on its flow characteristics. It can provide certain theory reference andsystem design for passive residual heat removal system about supercritical water.

      • KCI등재

        Research on prediction and analysis of supercritical water heat transfer coefficient based on support vector machine

        Dongliang Ma,Yi Li,Tao Zhou,Yanping Huang 한국원자력학회 2023 Nuclear Engineering and Technology Vol.55 No.11

        In order to better perform thermal hydraulic calculation and analysis of supercritical water reactor, based on the experimental data of supercritical water, the model training and predictive analysis of the heat transfer coefficient of supercritical water were carried out by using the support vector machine (SVM) algorithm. The changes in the prediction accuracy of the supercritical water heat transfer coefficient are analyzed by the changes of the regularization penalty parameter C, the slack variable epsilon and the Gaussian kernel function parameter gamma. The predicted value of the SVM model obtained after parameter optimization and the actual experimental test data are analyzed for data verification. The research results show that: the normalization of the data has a great influence on the prediction results. The slack variable has a relatively small influence on the accuracy change range of the predicted heat transfer coefficient. The change of gamma has the greatest impact on the accuracy of the heat transfer coefficient. Compared with the calculation results of traditional empirical formula methods, the trained algorithm model using SVM has smaller average error and standard deviations. Using the SVM trained algorithm model, the heat transfer coefficient of supercritical water can be effectively predicted and analyzed.

      • Effect of ages and season temperatures on bi-surface shear behavior of HESUHPC-NSC composite

        Yang Zhang,Yanping Zhu,Pengfei Ma,Shuilong He,Xudong Shao Techno-Press 2023 Advances in concrete construction Vol.15 No.6

        Ultra-high-performance concrete (UHPC) has become an attractive cast-in-place repairing material for existing engineering structures. The present study aims to investigate age-dependent high-early-strength UHPC (HESUHPC) material properties (i.e., compressive strength, elastic modulus, flexural strength, and tensile strength) as well as interfacial shear properties of HESUHPC-normal strength concrete (NSC) composites cured at different season temperatures (i.e., summer, autumn, and winter). The typical temperatures were kept for at least seven days in different seasons from weather forecasting to guarantee an approximately consistent curing and testing condition (i.e., temperature and relative humidity) for specimens at different ages. The HESUHPC material properties are tested through standardized testing methods, and the interfacial bond performance is tested through a bi-surface shear testing method. The test results quantify the positive development of HESUHPC material properties at the early age, and the increasing amplitude decreases from summer to winter. Three-day mechanical properties in winter (with the lowest curing temperature) still gain more than 60% of the 28-day mechanical properties, and the impact of season temperatures becomes small at the later age. The HESUHPC shrinkage mainly occurs at the early age, and the final shrinkage value is not significant. The HESUHPC-NSC interface exhibits sound shear performance, the interface in most specimens does not fail, and most interfacial shear strengths are higher than the NSC-NSC composite. The HESUHPC-NSC composites at the shear failure do not exhibit a large relative slip and present a significant brittleness at the failure. The typical failures are characterized by thin-layer NSC debonding near the interface, and NSC pure shear failure. Two load-slip development patterns, and two types of main crack location are identified for the HESUHPC-NSC composites tested in different ages and seasons. In addition, shear capacity of the HESUHPC-NSC composite develops rapidly at the early age, and the increasing amplitude decreases as the season temperature decreases. This study will promote the HESUHPC application in practical engineering as a cast-in-place repairing material subjected to different natural environments.

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