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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.
Efficient MPEG-4 to H.264/AVC Transcoding with Spatial Downscaling
Toan Dinh Nguyen,이귀상,June-Young Chang,Han-Jin Cho 한국전자통신연구원 2007 ETRI Journal Vol.29 No.6
Efficient downscaling in a transcoder is important when the output should be converted to a lower resolution video. In this letter, we suggest an efficient algorithm for transcoding from MPEG-4 SP (with simple profile) to H.264/AVC with spatial downscaling. First, target image blocks are classified into monotonous, complex, and very complex regions for fast mode decision. Second, adaptive search ranges are applied to these image classes for fast motion estimation in an H.264/AVC encoder with predicted motion vectors. Simulation results show that our transcoder considerably reduces transcoding time while video quality is kept almost optimal.
Toan Khac Nguyen,Jin Hee Lim 한국식물생명공학회 2021 JOURNAL OF PLANT BIOTECHNOLOGY Vol.48 No.3
Since whole-genome duplication (WGD) of diploid Chrysanthemum nankingense and de novo assembly whole-genome of C. seticuspe have been obtained, they have afforded to perceive the diversity evolution and gene discovery in the improved investigation of chrysanthemum breeding. The robust tools of high-throughput identification and analysis of gene function and expression produce their vast importance in chrysanthemum genomics. However, the gigantic genome size and heterozygosity are also mentioned as the major obstacles preventing the chrysanthemum breeding practices and functional genomics analysis. Nonetheless, some of technological contemporaries provide scientific efficient and promising solutions to diminish the drawbacks and investigate the high proficient methods for generous phenotyping data obtaining and system progress in future perspectives. This review provides valuable strategies for a broad overview about the high-throughput identification, and molecular analysis of gene function and expression in chrysanthemum. We also contribute the efficient proposition about specific protocols for considering chrysanthemum genes. In further perspective, the proper high-throughput identification will continue to advance rapidly and advertise the next generation in chrysanthemum breeding.
A Novel Interaction Method for Mobile Devices Using Low Complexity Global Motion Estimation
Toan Dinh Nguyen,김정환,양형정,이귀상,장준영,엄낙웅,김수형 한국전자통신연구원 2012 ETRI Journal Vol.34 No.5
A novel interaction method for mobile phones using their built-in cameras is presented. By estimating the path connecting the center points of frames captured by the camera phone, objects of interest can be easily extracted and recognized. To estimate the movement of the mobile phone, corners and corresponding Speeded-Up Robust Features descriptors are used to calculate the spatial transformation parameters between the previous and current frames. These parameters are then used to recalculate the locations of the center points in the previous frame into the current frame. The experiment results obtained from real image sequences show that the proposed system is efficient, flexible, and able to provide accurate and stable results.
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 Khanh Pham TRAN 한국유통과학회 2021 The Journal of Asian Finance, Economics and Busine Vol.8 No.7
Job crafting refers to changes that individuals make in their work to achieve their preferences and needs. Contingent on the social exchange theory, the aim of this study is to explore the relationship between job crafting and job performance. In addition, the study examines the mediating effect of social capital in the relationship between job crafting and job performance. The data was collected from 387 employees in Vietnamese industrial enterprises through a questionnaire survey using both qualitative and quantitative methods. 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 all three dimensions of job crating positively affect job performance and that social capital plays a mediating role in that relationship. This study contributes to the field of human resources management, particularly job crafting, by examining different dimensions of job crafting that impacts job performance. Moreover, this is the first study to test the mediating role of social capital on the relationship between job crafting and job performance. These insights may help the organizational managers to encourage beneficial job crafting.
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.
Tensor Voting Based Text Localization in Natural Scene Images
Toan Dinh Nguyen,Jonghyun Park,Gueesang Lee IEEE 2010 IEEE signal processing letters Vol.17 No.7
<P>A new and efficient text localization method by tensor voting is proposed. Tensor voting is used to extract the text line information based on the observation that the text characters are situated close together and arranged in a line or on a smooth curve. The text line information is useful to reduce the false positive rate in region-based text localization methods. The experimental results obtained for different types of natural text images show that the proposed method successfully detects the text regions with a low false-positive rate.</P>