27 results on '"Yang, Jing-yu"'
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2. sj-pdf-1-etp-10.1177_10422587211058363 ��� Supplemental Material for A Catalyst for Change: How Does a Crisis Prompt Attitudinal Changes Toward Corruption Among Foreign Entrepreneurs?
- Author
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Liu, Kun, Fu, Kun, Yang, Jing Yu, and Al Asady, Ahmad
- Subjects
FOS: Economics and business ,150310 Organisation and Management Theory - Abstract
Supplemental Material, sj-pdf-1-etp-10.1177_10422587211058363 for A Catalyst for Change: How Does a Crisis Prompt Attitudinal Changes Toward Corruption Among Foreign Entrepreneurs? by Kun Liu, Kun Fu, Jingyu Yang, and Ahmad Al Asady in Entrepreneurship Theory and Practice
- Published
- 2021
- Full Text
- View/download PDF
3. sj-pdf-1-etp-10.1177_10422587211058363 ��� Supplemental Material for A Catalyst for Change: How Does a Crisis Prompt Attitudinal Changes Toward Corruption Among Foreign Entrepreneurs?
- Author
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Liu, Kun, Fu, Kun, Yang, Jing Yu, and Al Asady, Ahmad
- Subjects
FOS: Economics and business ,150310 Organisation and Management Theory - Abstract
Supplemental Material, sj-pdf-1-etp-10.1177_10422587211058363 for A Catalyst for Change: How Does a Crisis Prompt Attitudinal Changes Toward Corruption Among Foreign Entrepreneurs? by Kun Liu, Kun Fu, Jingyu Yang, and Ahmad Al Asady in Entrepreneurship Theory and Practice
- Published
- 2021
- Full Text
- View/download PDF
4. Pinocembrin Ameliorates Cognitive Impairment Induced by Vascular Dementia: Contribution of Reelin-dab1 Signaling Pathway
- Author
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Kang,Ze-Chun, Wang,Hai-Gang, Yang,Yu-Lin, Zhao,Xiao-Yue, Zhou,Qi-Meng, Yang,Ying-Lin, Yang,Jing-Yu, and Du,Guan-Hua
- Subjects
Drug Design, Development and Therapy ,nervous system - Abstract
Ze-Chun Kang,1,2 Hai-Gang Wang,2 Yu-Lin Yang,2 Xiao-Yue Zhao,2 Qi-Meng Zhou,2 Ying-Lin Yang,2 Jing-Yu Yang,1,* Guan-Hua Du1,2,* 1Department of Pharmacology, Shenyang Pharmaceutical University, Shenyang City, Liaoning Province, People’s Republic of China; 2Beijing Key Laboratory of Drug Target and Screening Research, Institute of Materia Medica, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People’s Republic of China*These authors contributed equally to this workCorrespondence: Jing-Yu YangDepartment of Pharmacology, Shenyang Pharmaceutical University, Shenyang City, Liaoning Province, People’s Republic of ChinaEmail yangjingyu2006@gmail.comGuan-Hua DuBeijing Key Laboratory of Drug Target and Screening Research, Institute of Materia Medica, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People’s Republic of ChinaEmail dugh@imm.ac.cnBackground: As a substrate of apoER2, Reelin has been verified to exert neuroprotection by preventing memory impairment. Pinocembrin is the most abundant natural flavonoid found in propolis, and it has been used to exert neuroprotection, blood–brain barrier protection, anti-oxidation, and inflammation diminishing, both in vitro and in vivo. However, the roles and molecular mechanisms of pinocembrin in neurobehavioral outcomes and neuronal repair after vascular dementia are still under investigation.Purpose: To explore the role of pinocembrin in the involvement of the Reelin-dab1 signaling pathway in improving memory impairment, both in cell culture and animals experiments.Material and Methods: Behavioral tests were conducted on day 48 to confirm the protection of pinocembrin against cognitive impairment. Cell and molecular biology experiments demonstrated that the Reelin-dab1 pathway mediates the underlying mechanism of cognitive improvement by pinocembrin.Results: It was showed that pinocembrin alleviated learning and memory deficits induced by vascular dementia, by inducing the expression of Reelin, apoER2, and p-dab1 in the hippocampus. The expression of Reelin and p-dab1 was both inhibited following Reelin RNA interference in SH-SY5Y prior to oxygen glucose deprivation (OGD) injury, suggesting that Reelin played a core role in pinocembrin’s effect on OGD in vitro.Conclusion: Pinocembrin improves the cognition via the Reelin-dab1 signaling pathway.Keywords: pinocembrin, Reelin, vascular dementia, hippocampus, cognitive impairment, signaling pathway
- Published
- 2020
5. A new class of analytic functions defined by convolution with varying argument
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Tang Huo, Yang Jing Yu, and Li Shu Hai
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New class ,Algebra ,Discrete mathematics ,Argument ,Applied Mathematics ,General Mathematics ,Convolution theorem ,Convolution power ,Circular convolution ,Convolution ,Mathematics ,Analytic function - Abstract
In this paper, we introduce a new class of analytic functions defined by convolution with varying argument and provide convolution properties and integral means inequalities for functions belonging to this new class. Some of our results generalize previously known results.
- Published
- 2013
6. A Generalized Interval Valued Intuitionistic Fuzzy Sets theory
- Author
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Yang Jing-yu, Zhang Zhenhua, Ye Youpei, and Zhang Qian Sheng
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Discrete mathematics ,Fuzzy classification ,generalized interval-valued intuitionistic fuzzy sets ,Fuzzy set ,interval-valued intuitionistic fuzzy sets ,General Medicine ,Type-2 fuzzy sets and systems ,generalized interval-valued intuitionistic fuzzy sets with parameters ,Defuzzification ,Algebra ,Fuzzy mathematics ,Fuzzy set operations ,Fuzzy number ,Intuitionistic fuzzy sets ,Engineering(all) ,Membership function ,Mathematics - Abstract
In this paper, a novel generalized interval-valued intuitionistic fuzzy sets (GIVIFS) is presented, which is the generalization of conventional intuitionistic fuzzy sets (IFS) and interval-valued intuitionistic fuzzy sets (IVIFS). By analyzing the degree of hesitancy, this paper introduces generalized interval-valued intuitionistic fuzzy sets with parameters (GIVIFSP). And then, it is proved that GIVIFS is a closed algebraic system as IFS and IVIFS.
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- 2011
7. An analytical algorithm for determining the generalized optimal set of discriminant vectors
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Yang Jing-yu, Wang Shitong, Josef Kittler, and Wu Xiao-Jun
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Multiple discriminant analysis ,business.industry ,Dimensionality reduction ,Feature extraction ,Pattern recognition ,Linear discriminant analysis ,Facial recognition system ,Discriminant ,Artificial Intelligence ,Optimal discriminant analysis ,Signal Processing ,Computer Vision and Pattern Recognition ,Artificial intelligence ,Kernel Fisher discriminant analysis ,business ,Software ,Mathematics - Abstract
Generalized linear discriminant analysis has been successfully used as a dimensionality reduction technique in many classification tasks. An analytical method for finding the optimal set of generalized discriminant vectors is proposed in this paper. Compared with other methods, the proposed method has the advantage of requiring less computational time and achieving higher recognition rates. The results of experiments conducted on the Olivetti Research Lab facial database show the effectiveness of the proposed method.
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- 2004
8. Path planning of mobile robot using new potential field method in dynamic environments
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Yang Jing-yu, Liu Chuan-ling, and Tang Jing
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Computer Science::Robotics ,Acceleration ,Computer science ,Position (vector) ,Factor (programming language) ,Robot ,Mobile robot ,Motion planning ,Function (mathematics) ,computer ,Mobile robot navigation ,Simulation ,computer.programming_language - Abstract
The potential field method is widely used for autonomous mobile robot path planning. However, most potential field methods are designed to be applied in the stationary environment. In this paper, an improved potential field method is proposed for automatic mobile robot path planning in a dynamic environment. Improved method takes the position, the velocity, the acceleration and the physical size of the robot into account, and the relative factor of the distance and the acceleration is introduced in the potential function. The simulation result proves the effectiveness of this method.
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- 2011
9. Space reconstruction based Biomimetic Pattern Recognition
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Yang Jing-yu and Ding Jie
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business.industry ,Computer science ,Speech recognition ,Feature extraction ,Posterior probability ,Pattern recognition ,ComputingMethodologies_PATTERNRECOGNITION ,Handwriting recognition ,Sample space ,Affinity propagation ,Artificial intelligence ,Cluster analysis ,business ,Classifier (UML) ,Subspace topology - Abstract
This paper presents a new scheme for off-line recognition of totally unconstrained handwritten numerals. The work is motivated by two approaches: Affinity Propagation (AP) clustering and Biomimetic Pattern Recognition (BPR). It can relatively classify the samples by calculating the distance to the relative subspace. The training sample space is constructed by the AP algorithm and BPR theory. The posterior probabilities based on the class condition are estimated to reduce the rejection caused by the space overlapping with low misclassification. Experiments have been performed with Concordia University CENPARMI's handwritten digit database and Nanjing University of Science and Technology's handwritten amount database. Experimental results indicate that the proposed classifier has a higher recognition rate than the traditional classifiers.
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- 2011
10. An improved quantum genetic algorithm and its application in path planning of mobile robots
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Yang Jing-yu, Wan Ming-hua, and Liu Chuan-ling
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Computer Science::Robotics ,Quantum genetic algorithm ,Mathematical optimization ,Meta-optimization ,Fitness function ,Population-based incremental learning ,Genetic algorithm ,Robot ,Mobile robot ,Motion planning ,Quantitative Biology::Genomics ,Mathematics - Abstract
An improved quantum genetic algorithm (IQGA) is proposed for path planning of mobile robot in unknown environment, which uses problem-specific quantum genetic algorithm for robot path planning instead of the standard genetic algorithm(GA) and quantum genetic algorithm(QGA). Six genetic operators operated chromosomes and improved fitness function to evaluate new individuals, and this algorithm is capable of finding an optimal or near-optimal robot path in both complex static and dynamic environments. The simulation results show that the proposed method is accurate and effective.
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- 2010
11. Combined Technologies in Analysis of Overlapping Cells
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Yang Jing-yu, Ding Jie, and Lu Jing-feng
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Level set ,Similarity (geometry) ,Pixel ,business.industry ,Computer science ,Microscopy ,Feature extraction ,Computer vision ,Artificial intelligence ,Image segmentation ,business ,Bottleneck ,Image (mathematics) - Abstract
Time-lapse microscopy imaging serves as an important method to measure the cycle progression of individual cells in a large population. The lacking of automatic systems that can deal with large volume of time-lapse optical microscopy imaging is a bottleneck of modern bio-imaging research. In this paper we present an effective computerized method for overlapping cell nuclei detection in time-lapse image sequences. We design a two-stage detection scheme for such cells in each image of the image sequence. Features of the skeleton and the contour of the cell model are extracted in the two stages, and overlapped cells are detected by the similarity of the features with the training samples. Experimental results shows the proposed method is very effective and the work shows great assistance for the cell nuclei segmentation afterward.
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- 2010
12. Particle swarm based stereo algorithm and disparity map evaluation
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Zhao Chunxia, Tang Zhenmin, Yang Jing-yu, and Zhang Hao-feng
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Similarity (geometry) ,Matching (graph theory) ,Pixel ,business.industry ,Computer science ,ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION ,Particle swarm optimization ,Image segmentation ,Dynamic programming ,Stereopsis ,Computer Science::Computer Vision and Pattern Recognition ,Computer vision ,Artificial intelligence ,Multi-swarm optimization ,business ,Algorithm - Abstract
In this paper, a new particle swarm based stereo algorithm is presented. Our motivation is to improve the accuracy of the disparity map by removing the mismatches caused by both occlusions and false targets. In our approach, the stereo matching problem is divided into two steps, including partial matching of segmented image and particle swarm optimization of the rest. The algorithm first takes advantage of SAD and Dynamic Programming to remove the mismatches mainly caused by visibility problems; after the first step, the algorithm selects all the rest image segmented regions, takes them as a particle and uses particle swarm to optimization it. In the second step, the cost function is defined on the pixel level, as well as on the segmented level, while the pixel level measures the data similarity based the current disparity map, the segmented level incorporates a smooth term. Results obtained for benchmark indicate that the proposed method is able to get rather accurate disparity maps.
- Published
- 2008
13. A novel unsupervised feature extraction based on image matrix
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Yang Jing-yu, Li Yongzhi, Gu Lin-feng, Li Zuo-yong, and Wu Song-song
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Kernel (image processing) ,Scatter matrix ,business.industry ,Dimensionality reduction ,Principal component analysis ,Feature extraction ,Nonlinear dimensionality reduction ,Symmetric matrix ,Pattern recognition ,Artificial intelligence ,business ,Projection (set theory) ,Mathematics - Abstract
By the idea of manifolds learning, this paper presents a new method of dimensionality reduction of high dimensional data. The trait of the method is to exploit image matrixes to directly construct the local scatter matrix and the nonlocal scatter matrix. Its discriminant criterion function is characterized by maximizing the difference between the nonlocal scatter and the local scatter after the samples are projected. The new method is called the two-dimensional marginal discriminant projection (2DMDP). The new discriminant criterion is similar to the maximum margin criterion in form. The criterion main purpose is to find a projection direction (i.e. projection axes) that simultaneously maximizes the nonlocal scatter of projected sample, and minimizes the local scatter of projected sample. The experimental results on YALE face database and ORL face database show that the proposed method outperforms LPP and UDP in terms of recognition rate, and even outperforms LDA when the training sample size per class is small.
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- 2008
14. 2DUDP: Novel method of feature extraction based on image matrix
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He Guangming, Yang Jing-yu, and Li Yongzhi
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Clustering high-dimensional data ,Computer science ,business.industry ,Scattering ,Dimensionality reduction ,Feature extraction ,Nonlinear dimensionality reduction ,Pattern recognition ,Linear discriminant analysis ,Matrix (mathematics) ,Feature (computer vision) ,Scatter matrix ,Artificial intelligence ,business ,Projection (set theory) - Abstract
This paper presents a new method of dimensionality reduction of high dimensional data. The new discriminant criterion function be characterized by between the nonlocal scatter and the local scatter, and to directly construct between local scatter matrix and nonlocal scatter matrix by sample image matrixes. The criterion main purpose is to find a group of projection axis that simultaneously maximizes the nonlocal scatter and minimizes the local scatter of sample feature. The experimental results on YALE face database and AR face database show that the proposed method consistently outperforms LPP and UDP based on image vector, and even outperforms LDA.
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- 2008
15. Facial expression recognition using RBF neural network based on improved artificial fish swarm algorithm
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Yang Jing-yu, Wang Ye, Wu Xiaojun, and Wang Shi-tong
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Engineering ,Artificial neural network ,business.industry ,Computer Science::Neural and Evolutionary Computation ,Feature extraction ,Swarm behaviour ,Pattern recognition ,Facial recognition system ,Active shape model ,Face (geometry) ,Convergence (routing) ,Artificial intelligence ,business ,Algorithm ,Global optimization - Abstract
Artificial fish swarm algorithm (AFSA) is a global optimization method proposed recently. After analyzing the disadvantages of AFSA, this paper introduced best-step operator and refined the prey behavior. An improved artificial fish-swarm algorithm for the RBF neural network and a model based on this method is developed. Finally the new algorithm is applied to the problem of expression recognition. The research indicates that the new algorithm has some advantages in terms of convergence performance, recognition rate and so on.
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- 2008
16. Quantitative Evaluation and Information Fusion of Road Edges for Accurate Unstructured Road Tracking
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Liu Hua-jun, Lu Jian-feng, Zhang Hao-feng, and Yang Jing-yu
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Image fusion ,Pixel ,Feature (computer vision) ,Computer science ,Position (vector) ,business.industry ,Computer vision ,Filter (signal processing) ,Enhanced Data Rates for GSM Evolution ,Covariance intersection ,Artificial intelligence ,Sensor fusion ,business - Abstract
This research focuses on the problem of autonomous land vehicle (ALV) navigating on the unstructured roads which have no lane marks, may have degraded surfaces and edges, and may have shrub and weed alongside. Because of the complexity and irregularity of the road edges, the accurate and stable edges can not be obtained on the pixel level. We developed a novel sensor fusion and motion fusion parallel strategy on the feature level to model the unstructured road edges accurately. The road edges from grey images and lane cues from laser range finders (LRF) are integrated to form a consistent estimation of the edge position based on covariance intersection (CI) filter. The fused edges of consecutive frames are associated and integrated also based on CI. The quantitative evaluation method is also proposed to assess the quality of road edges. These algorithms are tested on a variety of complex unstructured roads, the autonomous navigation is successful and the average speed achieves 20 km/h. The spot navigation experiments show the effectiveness and efficiency of these algorithms to the accurate unstructured road tracking
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- 2006
17. A Fast Method for Vanishing Point Estimation and Tracking and Its Application in Road Images
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Liu Hua-jun, Yang Jing-yu, Guo Zhi-bo, and Lu Jian-feng
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Computational complexity theory ,Computer science ,Estimation theory ,business.industry ,Boundary (topology) ,Image segmentation ,Hough transform ,law.invention ,symbols.namesake ,law ,Position (vector) ,symbols ,Computer vision ,Artificial intelligence ,Vanishing point ,business ,Gaussian process - Abstract
A fast method for vanishing point (VP) estimation and tracking in road images and its application for lane detection are investigated in this paper. After determine the region of interest of the road images, we use `Sobel' operator to detect boundaries. Then the boundary image is transformed to the Hough Space by Hough Transform. We proposed a Gaussian Predication Model on the basis of the latest vanishing point to predicate the current VP, and we constructed an objective function including the linear segment intensity and the predicated VP, subsequently the optimal position of the VP is estimated through the least square method. The computational complexity of the estimation algorithm is O(n), which can operate in real time. We test our algorithm on many structured road and semi-structured road images, the results show that it can robustly determine the VP position regardless the disturbance of around pedestrian, crowd and vehicles. Moreover, experiments on PETS2001 dataset show its application to the road lane detection for the driver assistant system.
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- 2006
18. A New Statistically Uncorrelated Discriminant Plane
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Yang Jing-yu, Wu Xiao-Jun, Yu Dong-Jun, Zheng Yujie, and Wang Shi-tong
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Multiple discriminant analysis ,business.industry ,Plane (geometry) ,Pattern recognition ,Linear discriminant analysis ,Iris flower data set ,Discriminant function analysis ,Discriminant ,Optimal discriminant analysis ,Statistics ,Artificial intelligence ,Kernel Fisher discriminant analysis ,business ,Mathematics - Abstract
We present a study on the statistically uncorrelated optimal discriminant plane in this paper. A new concise formula for finding the statistically uncorrelated optimal discriminant plane has been developed, which overcomes the shortcoming of Jin's statistically uncorrelated optimal discriminant plane. The numerical experiments conducted on IRIS data verify the correctness of the above statements
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- 2006
19. Extraction of courtesy amount item from Chinese check
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Yang Jing-yu, Lou Zhen, Chen Qiang, and Zhang Chongyang
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Shape analysis (program analysis) ,Courtesy ,business.industry ,Computer science ,Feature extraction ,Pattern recognition ,Object (computer science) ,Image (mathematics) ,Thresholding algorithm ,Line (geometry) ,Preprocessor ,Computer vision ,Artificial intelligence ,business - Abstract
In Chinese, thousands of bankchecks are validated due to manual processing every day to find out the bankchecks, which are invalidate to the bank's rules or contain error input information. It is necessary to relieve people from these intensive and tedious works. This paper presents a technique, which is the preprocess stage in our auto-validating system, for extracting the user-entered courtesy amount item from Chinese bankcheck images. Seal imprints in different types and positions cause the main difficulty in the extracting procedure. Instead of removing lines in bi-level images, we proposed a line removal algorithm based on crossing shape analysis in gray-level image. The handwritten information is extracted by a new recursive thresholding algorithm, which can continue removing the brighter background until only the darkest object is left. The proposed methods have been evaluated on real-life Chinese checks. And the results demonstrate the effectiveness of the proposed preprocessing techniques.
- Published
- 2005
20. N-1 style intelligent data gathering and processing system for pavement surface detecting
- Author
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He An Zhi, Tang Zhen Min, Zhao Chun Xia, and Yang Jing Yu
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Transport engineering ,Engineering ,Technical performance ,Data collection ,Order (business) ,business.industry ,Maintenance plan ,State (computer science) ,business ,Maintenance engineering ,Intelligent equipment - Abstract
After the pavement is built up, to prolong its service life and reduce its maintenance expenses are the important things to consider. In order to make a rational maintenance plan, a thorough and accurate understanding in pavement surface situation is needed. In the past years, the measuring of the pavement surface state still depends on the handcraft or semiautomatic devices in China. These kinds of methods are not only extremely low in efficiency but also needs to close the transport. Nanjing University of Science and Technology (NJUST) developed an intelligent equipment for pavement surface measuring. Its main technical performance has already reached the level of the international similar products.
- Published
- 2004
21. A new direct LDA (D-LDA) algorithm for feature extraction in face recognition
- Author
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null Wu Xiao-Jun, J. Kittler, null Yang Jing-Yu, K. Messer, and null Wang Shitong
- Published
- 2004
22. Obstacles and Pedestrian Detection on a Moving Vehicle
- Author
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Yang Jing-yu, Ren Ming-wu, and Yang Yang
- Subjects
business.industry ,Computer science ,Pedestrian detection ,lcsh:Electronics ,ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION ,lcsh:TK7800-8360 ,lcsh:QA75.5-76.95 ,Computer Science Applications ,Support vector machine ,Object-class detection ,Artificial Intelligence ,Obstacle ,Computer vision ,lcsh:Electronic computers. Computer science ,Artificial intelligence ,AdaBoost ,business ,Moving vehicle ,Software - Abstract
We present a new method for obstacle and pedestrian detection with lower computation complexity and higher detection performance on a small target. By calculating stereo disparity according to the road parameters, our system efficiently detects objects above the ground. Experiments on over 10,000 images captured in urban areas demonstrate our method's effectiveness. We also propose a multi-scale compatible pedestrian detector. Detection speed is improved by avoiding size adjustment of input. Experiments on three public pedestrian databases and our HENU database show that our detector achieves better results than the state-of-the-art detection quality at equal speed, especially on pedestrian target with small size.
- Published
- 2014
23. Segmentation and Recognition of Handwritten Chinese Day String
- Author
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Lou Zhen, Xu Yong, Yang Jing-yu, and Zhang Chongyang
- Subjects
Computer Networks and Communications ,Hardware and Architecture ,Computer science ,Speech recognition ,String (computer science) ,Segmentation ,Document processing ,Software ,Intelligent word recognition ,Character recognition - Published
- 2007
24. A Form Frame Line Removal Algorithm Based on Gray-Level Image
- Author
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Yang Jing-yu, Zhang Chongyang, Chen Qiang, and Lou Zhen
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Form processing ,Computer Networks and Communications ,Computer science ,business.industry ,Frame (networking) ,Residual frame ,Document processing ,Hardware and Architecture ,Computer vision ,Artificial intelligence ,Line (text file) ,business ,Software ,Gray level image - Published
- 2005
25. A Fast Kernel-Based Nonlinear Discriminant Analysis Method
- Author
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Yang Jing-yu, Xu Yong, Lou Zhen, and Jin Zhong
- Subjects
Multiple discriminant analysis ,Computer Networks and Communications ,business.industry ,Computer science ,Feature extraction ,Nonlinear discriminant analysis ,Pattern recognition ,Linear discriminant analysis ,Hardware and Architecture ,Kernel (statistics) ,Optimal discriminant analysis ,Artificial intelligence ,Kernel Fisher discriminant analysis ,business ,Software - Published
- 2005
26. A new algorithm for generalized optimal discriminant vectors
- Author
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Wang Shitong, Yang Jing-yu, Wu Xiaojun, Cao Qi-ying, and Guo Yuefei
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Multiple discriminant analysis ,Computer science ,business.industry ,Feature extraction ,Pattern recognition ,Linear discriminant analysis ,Facial recognition system ,Computer Science Applications ,Theoretical Computer Science ,Computational Theory and Mathematics ,Discriminant ,Hardware and Architecture ,Optimal discriminant analysis ,Pattern recognition (psychology) ,Artificial intelligence ,Kernel Fisher discriminant analysis ,business ,Algorithm ,Software - Abstract
A study has been conducted on the algorithm of solving generalized optimal set of discriminant vectors in this paper. This paper proposes an analytical algorithm of solving generalized optimal set of discriminant vectors theoretically for the first time. A lot of computation time can be saved because all the generalized optimal sets of discriminant vectors can be obtained simultaneously with the proposed algorithm, while it needs no iterative operations. The proposed algorithm can yield a much higher recognition rate. Furthermore, the proposed algorithm overcomes the shortcomings of conventional human face recognition algorithms which were effective for small sample size problems only. These statements are supported by the numerical simulation experiments on facial database of ORL.
27. Independent directors in Asian firms: An integrative review and future directions
- Author
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Wei Wei, Ryan W. Tang, Jing Yu Yang, Wei, Wei, Tang, Ryan W, and Yang, Jing Yu
- Subjects
050208 finance ,literature review ,business.industry ,Strategy and Management ,Corporate governance ,05 social sciences ,Economics, Econometrics and Finance (miscellaneous) ,Accounting ,Context (language use) ,Research findings ,Asian firms ,future research ,Political science ,0502 economics and business ,Financial crisis ,Management research ,Business and International Management ,business ,050203 business & management ,independent directors - Abstract
Asian firms started to adopt independent directors (InDs) to boards only in the late 1990s after the Asian financial crisis. Despite its relatively short history,Asian firms’ practice of appointing InDs has yielded interesting research findings that may shed new light on the corporate governance literature and management research. However, the literature on InDs in Asian firms has been presented in apiecemeal fashion, which calls for researchers to review and synthesize the disparate findings and identify paths for future research. In this review paper, we identify and systematically analyze 65 articles related to InDs in the Asian context that were published in 21 leading academic journals from 2001 to 2016. Based on this analysis, we developed a framework with four links to map out the Asian InDs related literature. We also discuss the limitation of the existing research and suggest future research direction on InDs in Asia. Refereed/Peer-reviewed
- Published
- 2018
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