ORCID Profile
0000-0002-3382-0799
Current Organisations
Chittagong University of Engineering and Technology
,
University of South Australia
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Publisher: Elsevier BV
Date: 2021
Publisher: MDPI AG
Date: 04-05-2018
Publisher: Elsevier BV
Date: 2022
Publisher: Elsevier BV
Date: 2022
Publisher: IEEE
Date: 05-2013
Publisher: Universitas Airlangga
Date: 27-10-2020
DOI: 10.20473/JISEBI.6.2.99-111
Abstract: Background: In its early development, radar (radio detection and ranging) was primarily used by the navy, the military, and the aviation services, as well as space organizations for security and monitoring purposes. Nowadays, the demand of radar is expanding. Research has been conducted to overcome the limitations of radar.Objective: One of the current limitations to detect moving object. The current paper aims to fill the gap in the literature by using a radar system in the identification of moving object, capturing the distance, direction, radar pulse duration and object shape simultaneously. Velocity or the object’s speed towards or away from the radar was determined by using an algorithm to obtain the precision.Methods: The accuracy of distance measurement and angle is ensured by comparing the real values and the values obtained by the radar. The objects under study consist of metal and non-metal. Novelty of this work is the accurate detection of moving objects with suitable algorithms using only one Arduino UNO and one ultrasonic sensor.Results: The experiment design yielded much better efficiency than previous works. The proposed method predicted the exact speed of the object detected by the radar system. The experiment has successfully proven the accuracy of moving object sensor.Conclusion: Besides proper distance and velocity, a large set of data was taken to find the accuracy of the radar for objects of different shapes. For a cylindrical object, the radar provided 100% efficiency in a constant environment when the object was 5 cm away. The accuracy decreased to 30% when the distance was 17 cm away. The limitation of this system is that it was unable to detect small object or if the object was very close (1 cm).
Publisher: IJEAST
Date: 31-08-2019
Publisher: IEEE
Date: 02-2017
Publisher: IEEE
Date: 2020
Publisher: Elsevier BV
Date: 2021
Publisher: Springer Science and Business Media LLC
Date: 02-03-2021
DOI: 10.1007/S42452-021-04387-W
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 t er 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 t ering 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 t ered region more efficiently compared with the existing state of art algorithms.
Publisher: IEEE
Date: 02-2017
Publisher: IEEE
Date: 2020
Publisher: IEEE
Date: 05-2013
Publisher: IEEE
Date: 02-2017
Publisher: Institution of Engineering and Technology (IET)
Date: 13-11-2019
Publisher: SKIT Research Journal, Swami Keshvanand Institute of Technology, Management & Gramothan
Date: 13-09-2021
Publisher: IEEE
Date: 2020
Publisher: IEEE
Date: 02-2017
Publisher: MDPI
Date: 11-2021
DOI: 10.3390/ECSA-8-11285
Publisher: Elsevier BV
Date: 06-2020
Location: Bangladesh
Location: Bangladesh
No related grants have been discovered for Md. Ahasan Kabir.