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Institution

Chittagong University of Engineering & Technology

EducationChittagong, Bangladesh
About: Chittagong University of Engineering & Technology is a education organization based out in Chittagong, Bangladesh. It is known for research contribution in the topics: Renewable energy & Dielectric. The organization has 1200 authors who have published 1444 publications receiving 10418 citations. The organization is also known as: Engineering College, Chittagong & Bangladesh Institute of Technology, Chittagong.


Papers
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Book ChapterDOI
03 Aug 2019
TL;DR: A video-based proposal to eliminate the problems of detection of illegally parked vehicles in the urban traffic scene by using a simple shadow removal technique and a machine learning mechanism known as ‘Haar-Cascade’ classifier.
Abstract: Detection of illegally parked vehicles in the urban traffic scene is required for handling unwanted incidents in the roads such as vehicle collision, traffic jam, accidents etc. Due to occlusion, lightning change and other factors the task becomes more laborious. A video-based proposal is presented in this paper to eliminate these problems. Initially, foreground objects are separated using Gaussian Mixture based background subtraction model. Meanwhile, median filtering is used to remove the salt-pepper noise. A simple shadow removal technique based on HSI and YCbCr color model improves the precision of the vehicle detection. Then, edge detection was performed using Canny method for precise tracking of temporarily static vehicles checking centroid co-ordinate values. Finally, for verification of the vehicles a machine learning mechanism known as ‘Haar-Cascade’ classifier is used. However, experimental data shows that proposed system performed well under different conditions with an accuracy of 92%.

4 citations

Proceedings ArticleDOI
01 Jan 2019
TL;DR: DRoF can provide better data rate and noise free channel for higher order QAM signal which is eventually a great outcome for the VANET.
Abstract: In recent researches, it is estimated that Radio over Fiber technology is superior to other wireless technology system like Wi-Fi, WiMAX etc. as it is a consolidated broadband network which supports both optical and wireless technologies. Recent advances in wireless communication standards such as 802.11p, Wi-Fi, WiMAX, Microwave, Bluetooth etc. are playing vital role in establishing vehicle to vehicle communication to ensure road safety and traffic control. But these conventional technologies are failed to provide higher data rate. In this paper, a digital radio over fiber based VANET system is proposed in which several radio base stations communicate with a control system over DRoF connections. To improve the data rate in vehicle to vehicle communication, high order QAM signals is used for digital RoF architecture. The performance of both analog and digital RoF system for VANET is measured in presence of high order QAM signals in consideration of ADC resolution, SNR, BER. The required channel bandwidth is calculated for different level of QAM signal. The result shows, DRoF can provide better data rate and noise free channel for higher order QAM signal which is eventually a great outcome for the VANET.

4 citations

Proceedings ArticleDOI
TL;DR: The International Competition on Finger Vein Recognition (ICFVR) is held jointly with IJCB 2017 as discussed by the authors, where 11 teams registered and 10 of them joined the final evaluation.
Abstract: In recent years, finger vein recognition has become an important sub-field in biometrics and been applied to real-world applications. The development of finger vein recognition algorithms heavily depends on large-scale real-world data sets. In order to motivate research on finger vein recognition, we released the largest finger vein data set up to now and hold finger vein recognition competitions based on our data set every year. In 2017, International Competition on Finger Vein Recognition (ICFVR) is held jointly with IJCB 2017. 11 teams registered and 10 of them joined the final evaluation. The winner of this year dramatically improved the EER from 2.64% to 0.483% compared to the 'winner of last year. In this paper, we introduce the process and results of ICFVR 2017 and give insights on development of state-of-art finger vein recognition algorithms.

4 citations

Journal ArticleDOI
02 Mar 2021
TL;DR: A watermarking algorithm has been proposed based on a lossy compression algorithm to ensure authentication and detection of forgery and reconstructs the watermark and the tampering region more efficiently compared with the existing state of art algorithms.
Abstract: This study presents the vulnerability of digital documents and its effective way to protect the ownership and detection of unauthorized modification of multimedia data. Watermarking is an effective way to protect vulnerable data in a digital environment. In this paper, a watermarking algorithm has been proposed based on a lossy compression algorithm to ensure authentication and detection of forgery. In this proposed method, the CDF9/7 biorthogonal wavelet is used to transform the watermark image and encoded the wavelet coefficients using Set Partition in Hierarchical Tree algorithm. Then, the encoded bits are encrypted by shuffling and encrypting using symmetric keys. After that the encrypted bits are inserted into the Least Significant Bit position of the cover image. In addition, two tamper detection bits are generated based on texture information and pixel location and inserted in the watermarked image. The proposed algorithm reconstructs the watermark and the tampering region more efficiently and achieved 56.5463 dB PSNR for STARE database. Experimental result shows that the proposed algorithm is effectively prevented different attacks and ensure the integrity of watermark bits within the watermarked image. Also finds the tampered region more efficiently compared with the existing state of art algorithms.

4 citations

Journal ArticleDOI
TL;DR: In this article, an octamethyl tetraazmacrocyclic ligand (LZ)-decomposition of CH3I with L (3,10-C-meso-Me8[14]diene) in the ratio of 4:1 in ethanolic solution at room temperature yielded N-pendent dimethyl derivative (L-2H) denoted by LZ.
Abstract: Interaction of CH3I with L (3,10-C-meso-Me8[14]diene) in the ratio of 4:1 in ethanolic solution at room temperature yielded N-pendent dimethyl derivative [(L-2H)(–CH3)2] denoted by LZ. Interaction of nickel(II) acetate tetrahydrate with LZ and subsequent addition of NaClO4·6H2O produced square planar orange-yellow product, [NiLZ](ClO4)2. The reaction of copper(II) perchlorate hexahydrate with LZ afforded four coordinated square planar red [CuLZ](ClO4)2. However, on the reaction of zinc(II) nitrate hexahydrate with LZ furnished white six coordinated two distereoisomeric complexes [ZnLZα(NO3)2] and [ZnLZβ(NO3)2]. Axial addition reactions on four coordinated square planar [NiLZ](ClO4)2 with KX (X= SCN, NO3, Cl, Br or I) and NaNO2 resulted in six coordinated octahedral and square pyramidal axial addition products, such as [NiLZ(NCS)2], [NiLZ(NO3)(ClO4)], [NiLZCl(ClO4)], [NiLZBr2], [NiLZI2] and [NiLZ(NO2)](ClO4), respectively. However axial substitution reactions on [ZnLZα(NO3)2] with KY (Y= SCN, Cl or Br) and NaNO2 produced six coordinated octahedral axial substitution products [ZnLZα(NCS)2], [ZnLZαCl2], [ZnLZαBr2] and [ZnLZα(NO2)2]. Similarly, the axial substitution reactions on [ZnLZβ(NO3)2] with KI and NaClO4.6H2O resulted in six coordinated octahedral axial substitution products [ZnLZβI2] and [ZnLZβ(H2O)2](ClO4)2, respectively. The compounds have been characterized by analytical, spectroscopic, magnetochemical and conductivity data. The antimicrobial activities of the new ligand and its complexes have been tested against different micro pathogens. Nickel(II), copper(II) and zinc(II) complexes with an N-pendent dimethyl derivative ligand LZ of an octamethyl tetraazmacrocyclic ligand were prepared. The compounds were characterized by different analytical and spectroscopic methods. Antibacterial and antifungal activities of these compounds against some bacteria and fungi were also investigated.

4 citations


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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20234
202240
2021243
2020241
2019228
2018119