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Search Results: 1 - 10 of 40213 matches for " YIN Jian "
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An Empirical Study of the Importance and Uniqueness of Stakeholder Management in China  [PDF]
Luo Jing, Yin Jian
Open Journal of Business and Management (OJBM) , 2014, DOI: 10.4236/ojbm.2014.24035
Abstract: Chinese economic reform in the early 1980s had introduced China modern project management theories and techniques, which had been widely observed in various industries and business sectors ever since. However, empirical studies of project stakeholder practice presented before indicate that Chinese people have learned the definition of modern projects but they give a new definition to project success according to their own working environment [1], and that stakeholder management is one of the areas where major differences between Chinese and Western projects exist. Therefore, understanding the uniqueness of stakeholder relationship in Chinese projects is one of the key factors for project success. This paper a) explores informal relationship among key stakeholders in Chinese projects and b) examines the influences their relationships have on project success in China. The final findings of this paper aim to provide best practice for understanding and managing key stakeholders in Chinese projects.
A Humanoid Robot Gait Planning and Its Stability Validation  [PDF]
Jian Zeng, Haibo Chen, Yan Yin, Yan Yin
Journal of Computer and Communications (JCC) , 2014, DOI: 10.4236/jcc.2014.211009
Abstract:

Gait planning based on linear inverted pendulum (LIPM) on structured road surface can be quickly generated because of the simple model and definite physical meaning. However, over-simplifi- cation of the model and discontents of zero velocity and acceleration boundary conditions when robot starts and stops walking lead to obvious difference between the model and the real robot. In this paper, parameterized gait is planned and trajectories’ smoothness of each joint angle and centroid are ensured using the 3-D LIPM theory. Static walking method is used to satisfy zero velocity and acceleration boundary conditions. Besides, a multi-link model is built to validate the stability. Simulation experiments show that: despite of some deviation from the theoretical solution, the actual zero-moment point (ZMP) is still within the support polygon, and the robot walks steadily. In consequence, the rationality and validity of model simplification of LIPM is demonstrated.

The Extended State Particle Filter for Unknown Process Models
Jian Jun Yin,Jian Qiu Zhang
Information Technology Journal , 2011,
Abstract: In this study, a new dynamic state space model was established by using the polynomial predictive idea and state dimension extension. We call the new model extended model, which was established without the exact knowledge of the original state dynamics, i.e., we way use the proposed extended model to describe the state dynamics no matter we know original state propagation well or not. A correspondent Extended State Particle Filter (ESPF) was then presented based on the proposed extended model. In the ESPF, the sum of the extended particle weights was applied to test whether the filter is convergent or not. Simulation results demonstrate that the proposed method still works well while the existed Particle Filter (PF) diverges in the situations that the state dynamics are not known well.
A Biased Rule for Data Fusion
Jian Jun Yin,Jian Qiu Zhang
Information Technology Journal , 2011,
Abstract: In this study, a new data fusion method, called the Biased State-Vector Fusion Estimator (BSFE), was presented. It differed from the existed Minimum Variance Unbiased (MVU) fusion estimator. The mathematical analysis results showed that the proposed BSFE reduced the estimation Mean Squared Error (MSE) of the traditional unbiased fusion estimator. The simulation results verified the theoretical results that the BSFE can outperform the traditional estimator in terms of MSE.
ESecRout: An Energy Efficient Secure Routing for Sensor Networks
Jian Yin,Sanjay K. Madria
International Journal of Distributed Sensor Networks , 2008, DOI: 10.1080/15501320802001101
Abstract: In this paper, we present an Energy Efficient Secure Routing Protocol for Sensor Networks (ESecRout). The protocol uses the symmetric cryptography to secure messages, and uses a small cache in sensor nodes to record the partial routing path (previous and next nodes) to the destination. It guarantees that the destination will be able to identify and discard the tampered messages and ensure that the messages received are not tampered with. Simulation shows ESecRout's performance comparison with the non-secure routing protocol AODV [1] and the secure routing protocol SAODV [2]. Our protocol needs a little more route discovery overhead (about 8%) and costs a little more energy (about 8%) than AODV, but it performs much better than SAODV which needs much more route discovery overhead (about 33%) and costs much more energy (35%) than AODV. Simulation results also show that the packet delivery ratio and packet latency of AODV, SAODV, and ESecRout are almost the same. Thus, we show that our protocol ESecRout provides energy efficient secure routing.
Simulation-based Sensitivity Analysis for Non-ignorable Missing Data
Peng Yin,Jian Qing Shi
Statistics , 2015,
Abstract: Sensitivity analysis is popular in dealing with missing data problems particularly for non-ignorable missingness. It analyses how sensitively the conclusions may depend on assumptions about missing data e.g. missing data mechanism (MDM). We called models under certain assumptions sensitivity models. To make sensitivity analysis useful in practice we need to define some simple and interpretable statistical quantities to assess the sensitivity models. However, the assessment is difficult when the missing data mechanism is missing not at random (MNAR). We propose a novel approach in this paper on attempting to investigate those assumptions based on the nearest-neighbour (KNN) distances of simulated datasets from various MNAR models. The method is generic and it has been applied successfully to several specific models in this paper including meta-analysis model with publication bias, analysis of incomplete longitudinal data and regression analysis with non-ignorable missing covariates.
The Application of Fat-Suppression MR Pulse Sequence in the Diagnosis of Bone-Joint Disease  [PDF]
Jing Wu, Ling-Quan Lu, Jian-Ping Gu, Xin-Dao Yin
International Journal of Medical Physics,Clinical Engineering and Radiation Oncology (IJMPCERO) , 2012, DOI: 10.4236/ijmpcero.2012.13012
Abstract: Fat-suppression technology of magnetic resonance is very important in clinical practice.This article is written to interpret the principle, advantages/disadvantages and clinical applications of some regular fat-suppression sequences in the diagnosis of Bone-Joint Disease, including 1) frequency-selective saturation (FS); 2) short-TI inversion recovery (STI-R); 3)frequency selective inversion pulse; 4) fat suppression water or fat selective excitation technique; 5) Dixon technology and 6) magnetization transfer contrast (MTI).
Inner Ear Gene Transfection in Neonatal Mice Using Adeno-Associated Viral Vector: A Comparison of Two Approaches
Li Xia, Shankai Yin, Jian Wang
PLOS ONE , 2012, DOI: 10.1371/journal.pone.0043218
Abstract: Local gene transfection is a promising technique for the prevention and/or correction of inner ear diseases, particularly those resulting from genetic defects. Adeno-associated virus (AAV) is an ideal viral vector for inner ear gene transfection because of its safety, stability, long-lasting expression, and its high tropism for many different cell types. Recently, a new generation of AAV vectors with a tyrosine mutation (mut-AAV) has demonstrated significant improvement in transfection efficiency. A method for inner ear gene transfection via the intact round window membrane (RWM) has been developed in our laboratory. This method has not been tested in neonatal mice, an important species for the study of inherited hearing loss. Following a preliminary study to optimize the experimental protocol in order to reduce mortality, the present study investigated inner ear gene transfection in mice at postnatal day 7. We compared transfection efficiency, the safety of the scala tympani injection via RWM puncture, and the trans-RWM diffusion following partial digestion with an enzyme technique. The results revealed that approximately 47% of inner hair cells (IHCs) and 17% of outer hair cells (OHCs) were transfected via the trans-RWM approach. Transfection efficiency via RWM puncture (58% and 19% for IHCs and OHCs, respectively) was slightly higher, but the difference was not significant.
预报障碍的物理本质
LI Chong-Yin,LING Jian
大气和海洋科学快报 , 2009,
Abstract: Although the “predictability barrier” is a scientific problem brought forward during the middle 1990’s, it has yet to be clearly understood. In this paper, the authors used model results to study the “predictability barrier” of some atmospheric (climatic) systems, including the equatorial Pacific sea surface temperature (SST), East Asia trough (EAT), and South Asia wind field (monsoon). It is shown that the “predictability barrier” appeared not only in predicting the SST in the equatorial Pacific, but also in predicting the atmospheric circulation systems, such as the EAT and the monsoon. The “predictability barrier” for predicting the different climate systems appeared not only in spring, but also in different seasons. It appeared in spring for the equatorial Pacific SST, in summer for the EAT, and in fall and winter for the monsoon. Further analyses showed that the fundamental physical essence of the “predictability barrier” is the seasonal variability characteristics of the atmospheric (climate) system. The “predictability barrier” would occur when the system was at its weakest or worst continuous phase. Furthermore, the models and error patterns also had an important impact on the “predictability barrier”; good models and special error patterns can minimize the “predictability barrier”.
Text Clustering Using a Suffix Tree Similarity Measure
Chenghui HUANG,Jian YIN,Fang HOU
Journal of Computers , 2011, DOI: 10.4304/jcp.6.10.2180-2186
Abstract: In text mining area, popular methods use the bag-of-words models, which represent a document as a vector. These methods ignored the word sequence information, and the good clustering result limited to some special domains. This paper proposes a new similarity measure based on suffix tree model of text documents. It analyzes the word sequence information, and then computes the similarity between the text documents of corpus by applying a suffix tree similarity that combines with TF-IDF weighting method. Experimental results on standard document benchmark corpus RUTERS and BBC indicate that the new text similarity measure is effective. Comparing with the results of the other two frequent word sequence based methods, our proposed method achieves an improvement of about 15% on the average of F-Measure score.
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