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Using Tensor Voting for Detecting Noise Regions in Text Images
Toan Nguyen Dinh,Jonghyun Park,GueeSang Lee 한국멀티미디어학회 2009 한국멀티미디어학회 학술발표논문집 Vol.2009 No.1
Many kinds of noises may present in natural text images such as streaks, shadows, cracks and even small objects which produce occluded text. To achieve good binarized text results, we need to detect and remove noise regions. The 3D tensor voting framework generates the surface saliency map in which the pixel saliency value is directly proportional to the region area in which this pixel belongs to. Since the noise regions are usually smaller than background and text regions, we use 3D tensor voting to detect them. The experimental results show that we can successfully detect several kinds of noises in natural text images.
Toan Khanh Pham TRAN 한국유통과학회 2021 The Journal of Asian Finance, Economics and Busine Vol.8 No.8
The emerging competitive environment in today’s global marketplace is one where businesses no longer compete with each other as autonomous, individual firms. Global, economic, and technological development pressure forces organizations to continually enhance their performance through knowledge sharing and innovativeness. The purpose of this paper is to explore the moderating role of knowledge sharing and the mediating role of innovativeness in the relationship between transformational leadership and organizational performance. The data was collected from 389 employees in Vietnamese industrial enterprises through a questionnaire survey. The information was then analyzed by explanatory factor analysis (EFA) confirmatory factor analysis (CFA) as well as structural equation modeling (SEM). The results show that the mediating role of innovativeness and the moderating role of knowledge sharing in the relationship between transformational leadership and performance, are supported. Organizations may reap the benefits of an innovative workforce by selecting, nurturing transformational leaders. This study contributes to the field of human resources management, particularly leadership, by exploring the role of transformational leadership. Moreover, this is the first study to test the moderating role of knowledge sharing and the mediating role of innovativeness in the relationship between transformational leadership and the organizational performance.
Toan Van Pham,Vinh Mai Phuoc,Dung Van Nguyen,Jiro Koyama 대한환경공학회 2021 Environmental Engineering Research Vol.26 No.6
Pesticide containing wastewater is concerned due to their toxicity to human health and the environment, and therefore, is attracted much attention by public communities and scientists. This type of wastewater can be treated by conventional treatment methods including physical, chemical, biological methods and so on. Unfortunately, the efficiency of these methods are mostly undesired as expectation because they cannot completely remove toxic organic pollutants from wastewater. In this study, an experiment on laboratory scale model of cold plasma technology, a well-known water treatment method in recent decades, was performed to assess its efficiency on removing pesticide fenobucarb from the wastewater. Furthermore, another experiment on laboratory scale model of the cold plasma combined with coagulation/flocculation and ion exchange process was implemented to assess the efficiency of these combination and each process as well on treatment of pesticide containing wastewater. Experimental results demonstrated that the model of technologies combined was high effective in removing organic pollutants from wastewater. However, the specific efficiency of cold plasma technology in treating wastewater was low. Treatment time, energy supply and wastewater characteristics are the factors which are necessary to be further studied for cold plasma technology application.
Toan Van Pham,Vinh Mai Phuoc,Dung Van Nguyen,Jiro Koyama 대한환경공학회 2021 Environmental Engineering Research Vol.26 No.6
Pesticide containing wastewater is concerned due to their toxicity to human health and the environment, and therefore, is attracted much attention by public communities and scientists. This type of wastewater can be treated by conventional treatment methods including physical, chemical, biological methods and so on. Unfortunately, the efficiency of these methods are mostly undesired as expectation because they cannot completely remove toxic organic pollutants from wastewater. In this study, an experiment on laboratory scale model of cold plasma technology, a well-known water treatment method in recent decades, was performed to assess its efficiency on removing pesticide fenobucarb from the wastewater. Furthermore, another experiment on laboratory scale model of the cold plasma combined with coagulation/flocculation and ion exchange process was implemented to assess the efficiency of these combination and each process as well on treatment of pesticide containing wastewater. Experimental results demonstrated that the model of technologies combined was high effective in removing organic pollutants from wastewater. However, the specific efficiency of cold plasma technology in treating wastewater was low. Treatment time, energy supply and wastewater characteristics are the factors which are necessary to be further studied for cold plasma technology application.
텐서보팅을 이용한 K-means 군집화의 초기 파라메터 결정
Toan Nguyen,박종현(Jonghyun Park),이귀상(GueeSang Lee) 한국정보과학회 2009 한국정보과학회 학술발표논문집 Vol.36 No.2A
The major problem in K-means clustering is to determine the number of clusters and their starting centroids. The quality of the resulting clusters is largely dependent on the estimation of K. In this paper, we investigate a novel method based on tensor voting to estimate these initial parameters. (d+1)-D tensor voting is applied on d-dimensional data to generate a saliency map. Major peaks in the saliency map are detected to decide the number of clusters. Experimental results attained from 1-D, 2-D data points and in color image segmentation show that our method can estimate the number of clusters successfully. The proposed method can also solve some other issues in K-means clustering such as empty clusters and outliers. Empty clusters can be obtained if no points are allocated to a cluster during the assignment step. And when outliers are present, the resulting cluster centroids may not be as representative as they otherwise would be.
Toan Khac Nguyen,임진희 한국원예학회 2019 Horticulture, Environment, and Biotechnology Vol.60 No.5
Chrysanthemum, which belongs to the Asteraceae family, is a fl oriculture crop with ornamental, industrial, and medicinalvalue. Chrysanthemum breeding programs have generated genetic linkage maps and identifi ed molecular markers for importanttraits. Chrysanthemum species have a complex genetic background, and several studies on Chrysanthemum specieshave been published in the last 3 decades. The Chrysanthemum genome was published by Amway Botanical R&D Center,China (online since 2017/12/07); however, the molecular breeding of Asteraceae is not well studied yet. Next-generationsequencing (NGS) technologies, genotyping-by-sequencing (GBS), and association mapping have facilitated the identifi cationof novel genetic markers. Chrysanthemum species have a very large genome and include diploid and polyploid species(such as allohexaploids) with complex hereditary features such as self-incompatibility systems and inbreeding depression. The development of NGS technologies allowed the advance of high-throughput DNA sequencing for detecting and singlenucleotide polymorphisms (SNP) in various plant species. Through NGS, a large number of SNPs detected via whole-genomesequencing can be used as markers in breeding and genetic studies. While SNP markers allow rapid analyses, contribute tothe low cost of genome-wide scans, and are sequenced by numerous effi cient platforms in diverse genetic backgrounds, GBScan be advantageous for the study of gene function, genetic variation, and heredity, specifi cally in modern plant breeding. In addition, GBS can reduce genome complexity, allowing SNP discovery and genotyping of sequences without a referencegenome. This review focuses on the tools used for genomic research and breeding in Chrysanthemum, and discusses theprocesses in SNP development and study of the evolutionary processes in Chrysanthemum species.