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RISS 인기검색어
- 검색키워드
- 저자 : Al-Seraj, Md. Sajib (검색결과 5 건)
- 무료
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Al-Rawi, Natheer H,Uthman, Asmaa T,Abdulhameed, Elaf,Al Nuaimi, Ahmed S,Seraj, Zahra Korean Academy of Oral and Maxillofacial Radiology 2019 Imaging Science in Dentistry Vol.49 No.1
Purpose: To determine the prevalence of concha bullosa (CB) and nasal septal deviation (NSD) and their impact on maxillary sinus volume (MSV). Materials and Methods: Cone-beam computed tomographic (CBCT) images of 106 Emirati people were used in this study. The direction and angle of septal deviation were calculated. The presence of CB, which could be unilateral, contralateral, or bilateral in relation to the direction of NSD, was also recorded. MSV was measured using reconstructed Digital Imaging and Communication in Medicine images on Dolphin 3D imaging software version 11.8 premium (Dolphin Imaging, Chatsworth, CA, USA). P values<0.05 were considered to indicate statistical significance. Results: CB was detected in 37.7% of the sample; 20.7% of the sample showed single unilateral CB and 16.6% had single bilateral CB. NSD was seen in 74.5% of the sample. In the participants with CB, 45.5% showed mild deviation, 34.4% showed moderate deviation, and only 12.5% showed severe septal deviation. CB, but not NSD, was associated with significantly higher MSV on the affected side (P=0.001). Conclusion: Although NSD was observed in more than two-thirds of the sample and CB was present in more than one-third of the sample, only CB had a significant impact on MSV.
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A Cost Effective Virtual Cluster with Hadoop Framework for Big Data Analytics
Seraj Al Mahmud Mostafa,A.B.M Moniruzzaman 보안공학연구지원센터 2015 International Journal of Database Theory and Appli Vol.8 No.6
Big data processing is currently becoming increasingly important research field in computer technology professionals due to the continuous growth of the amount of data generated by various fields. However, the processing of large-scale research data requires cluster technology infrastructure which causes huge investments for educational institutions. Hadoop is an open-source framework that allows for distributed storage and processing of very large data sets on computer clusters built from commodity hardware. This technology is being widely used for the analysis of large datasets. This paper focuses on proposes a low cost scalable hadoop virtual cluster platform and the performance of hadoop irtual cluster. We first describe the design and implementation of a virtual datacenter using hadoop framework. Then we perform a set of experiments to investigate the performance of virtual datacenter with standard datasets. For experiment and evaluation, the Cloudera's distribution of Apache Hadoop (CDH) is installed and configured on the DIU Cloud and Big Data Lab as a prototype implementation of a virtual data center and tested with 40 workstations. In this paper, we use TPC BENCHMARK ™ DS” by-Transaction Processing Performance Council (TPC) benchmarks for evaluation virtual data center performance. The contributions of this paper, is to design model and implement a cost effective elastic virtual data center with hadoop framework and resource utilizations for educational institutions to provide high performance for distributed and parallel processing; as well as, Identify the bottlenecks of this systems e.g. bandwidth of network connectivity with all nodes in the lab.
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Natheer H Al-Rawi,Asmaa T Uthman,Elaf Abdulhameed,Ahmed S Al Nuaimi,Zahra Seraj 대한영상치의학회 2019 Imaging Science in Dentistry Vol.49 No.1
Purpose: To determine the prevalence of concha bullosa (CB) and nasal septal deviation (NSD) and their impact on maxillary sinus volume (MSV). Materials and Methods: Cone-beam computed tomographic (CBCT) images of 106 Emirati people were used in this study. The direction and angle of septal deviation were calculated. The presence of CB, which could be unilateral, contralateral, or bilateral in relation to the direction of NSD, was also recorded. MSV was measured using reconstructed Digital Imaging and Communication in Medicine images on Dolphin 3D imaging software version 11.8 premium (Dolphin Imaging, Chatsworth, CA, USA). P values<0.05 were considered to indicate statistical significance. Results: CB was detected in 37.7% of the sample; 20.7% of the sample showed single unilateral CB and 16.6% had single bilateral CB. NSD was seen in 74.5% of the sample. In the participants with CB, 45.5% showed mild deviation, 34.4% showed moderate deviation, and only 12.5% showed severe septal deviation. CB, but not NSD, was associated with significantly higher MSV on the affected side (P=0.001). Conclusion: Although NSD was observed in more than two-thirds of the sample and CB was present in more than one-third of the sample, only CB had a significant impact on MSV. (
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Deb, Kaushik,Al-Seraj, Md. Sajib,Chong, Ui-Pil The Korea Institute of Convergence Signal Processi 2013 융합신호처리학회 논문지 (JISPS) Vol.14 No.1
A combined DWT and DCT based watermarking technique of low frequency watermarking with weighted correction is proposed. The DWT has excellent spatial localization, frequency spread and multi-resolution characteristics, which are similar to the theoretical models of the human visual system (HVS). The DCT based watermarking techniques offer compression while DWT based watermarking techniques offer scalability. These desirable properties are used in this combined watermarking technique. In the proposed method watermark bits are embedded in the low frequency band of each DCT block of selected DWT sub-band. The weighted correction is also used to improve the imperceptibility. The extracting procedure reverses the embedding operations without the reference of the original image. Compared with the similar approach by DCT based approach and DWT based approach, the experimental results show that the proposed algorithm apparently preserves superiori mage quality and robustness under various attacks such as JPEG compression, cropping, sharping, contrast adjustments and so on.
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코식뎁,Md. Sajib Al- Seraj,정의필 한국융합신호처리학회 2013 융합신호처리학회 논문지 (JISPS) Vol.14 No.1
A combined DWT and DCT based watermarking technique of low frequency watermarking with weighted correction is proposed. The DWT has excellent spatial localization, frequency spread and multi-resolution characteristics, which are similar to the theoretical models of the human visual system (HVS). The DCT based watermarking techniques offer compression while DWT based watermarking techniques offer scalability. These desirable properties are used in this combined watermarking technique. In the proposed method watermark bits are embedded in the low frequency band of each DCT block of selected DWT sub-band. The weighted correction is also used to improve the imperceptibility. The extracting procedure reverses the embedding operations without the reference of the original image. Compared with the similar approach by DCT based approach and DWT based approach, the experimental results show that the proposed algorithm apparently preserves superiori mage quality and robustness under various attacks such as JPEG compression, cropping, sharping, contrast adjustments and so on.
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