Chittagong University of Engineering & Technology

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.

Audio Watermarking with Multiple Images as Watermarks

Abstract: Nowadays, the security of information has become a burning question Digital watermarking can be very efficient in providing security of a signal being sent In this paper, a digital watermarking t

Modeling and performance of TCP in a MC-CDMA system for 4G communications

Abstract: Market research finds that mobile commerce for 4G wireless systems will be dominated by basic human communication such as messaging, voice, and video communication. Because of its typically large bandwidth requirements, broadband communication is expected to emerge as the dominant type of traffic in 4G wireless systems. In this paper a new TCP based Multicarrier access technique named MC-CDMA for mitigating 4G requirements is proposed. This paper also presents analytical information regarding the transfer of TCP data flows on paths towards interconnected wireless systems, with emphasis on 4G cellular networks. The focus is on protocol modifications in face of problems arising from terminal mobility and wireless transmission. We advocate the use of TCP as the transport layer protocol for high-speed data in a Multi-Carrier CDMA (MC-CDMA) system for 4G wireless communications.

Word Sense Disambiguation of Bengali Words using FP-Growth Algorithm

Abstract: Word Sense Disambiguation (WSD) is the task of determining the specific meaning of an ambiguous word according to the context. In the realm of natural language processing, WSD is an open problem, and its development can significantly assist in human-level machine translation. In this paper, we have proposed a system for Bengali Word Sense Disambiguation through the FP-Growth algorithm. Moreover, we have also implemented the Apriori algorithm and presented an analysis on both of them to explain how the FP-Growth algorithm outperforms the Apriori algorithm performing Bengali Word Sense Disambiguation. Furthermore, In the testing phase we have found that for 80% of the test sentences, our proposed method can retrieve the exact meaning of an ambiguous word.

Image Defogging Framework Using Segmentation and the Dark Channel Prior.

Abstract: Foggy images suffer from low contrast and poor visibility problem along with little color information of the scene. It is imperative to remove fog from images as a pre-processing step in computer vision. The Dark Channel Prior (DCP) technique is a very promising defogging technique due to excellent restoring results for images containing no homogeneous region. However, having a large homogeneous region such as sky region, the restored images suffer from color distortion and block effects. Thus, to overcome the limitation of DCP method, we introduce a framework which is based on sky and non-sky region segmentation and restoring sky and non-sky parts separately. Here, isolation of the sky and non-sky part is done by using a binary mask formulated by floodfill algorithm. The foggy sky part is restored by using Contrast Limited Adaptive Histogram Equalization (CLAHE) and non-sky part by modified DCP. The restored parts are blended together for the resultant image. The proposed method is evaluated using both synthetic and real world foggy images against state of the art techniques. The experimental result shows that our proposed method provides better entropy value than other stated techniques along with have better natural visual effects while consuming much lower processing time.