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: Computer science & Renewable energy. 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.

The Utilization of Bacillus Subtilis Bacteria to Improve the Mechanical Properties of Concrete

Abstract: The utilization of concrete as a building material is well-known worldwide and increasing continuously due to its sustainability, low maintenance cost, durability, performance, etc. The ingredients of concrete, its constructional methodology, and exposure conditions have been observed to be moderating and improving daily but the focus of this research is on the laboratory investigation of Bacterial Concrete which is the technology established on the application of the mineral producing microbes like Bacillus subtilis which have the properties of bio-calcification and the ability to precipitate CaCO3 effectively inside concrete structures. This CaCO3 precipitation is able to fill the pores and cracks internally and this subsequently makes the structure to become more compact. Nutrient Broth (NB) media was employed for the growth and spore formation of Bacillus subtilis bacteria in this experimental study and four different bacterial culture densities including 0.107, 0.2, 0.637, and 1.221 were estimated at OD600 and directly added to the concrete matrix using the previously fixed water to culture ratio of 0.5:0.5. Moreover, 100 mm cubical concrete specimens were cast, subjected to compressive and tensile strength tests for different curing ages, and finally compared with Conventional Concrete with OD600=0. A significant increase was observed in the mechanical strengths due to the addition of Bacillus subtilis bacteria in concretes with a culture density of 0.637. Furthermore, cylindrical concrete specimens with 100 mm diameter and 200 mm height were prepared for Ultrasonic Pulse Velocity (UPV) analysis and the results showed specimens prepared with culture density of 0.637 have higher pulse velocity than other microbial groups. A UPV vs. compressive strength relationship curve was, however, later proposed for different strengths of concrete.

Attribute-driven Topical Influential Users Detection in Online Social Networks

Abstract: At present, online social influencers are guiding the recognition and behaviors of their connections by becoming a voice of moulding opinions. As a consequence, influential user detection has become unavoidable to explore the dynamic evolution of Online Social Networks (OSNs) for any new procedure either for viral marketing applications or administrating the propagation of producing information. Existing methods pay less concentration on the temporal factor of the users’ interests. Our intent is to detect influential users who express their interest towards a particular query on multiple topics at various time periods by spotlighting more on users’ latest activities. The suggested temporal TwitterRank based topical influential users detection in multi hop neighbors network (TIUDMNN) method is based on the addition of PageRank algorithm. We also estimate the outcome of indirect influence i.e. focusing both on users’ influence to their direct neighbors and considering neighbors who are multi hops (2 or 3 hops) away. We conduct experiments on real datasets to illustrate the potency and performance of the proposed approach.

Blind Image Watermarking in Canonical and Cepstrum Domains Based on 4-Connected t-o’clock Scrambling

Abstract: Copyright protection of multimedia content is confronted with great challenges such as easy access to the Internet. Digital watermarking is widely applicable technique for copyright protection of multimedia contents. In this paper, a blind symmetric watermarking method in canonical and cepstrum domains based on four-connected t-o’clock scrambling is proposed. Initially, the watermark image is scrambled using the four-connected t-o’clock method to enhance the security. Then, the rotation operation is applied to the host image to extract the region where the watermark bits are embedded. After that, discrete linear canonical transform (DLCT) is applied to the extracted region to obtain the DLCT region. Cepstrum transform (CT) is performed on DLCT region to attain CT region. The CT region is then divided into non-overlapping blocks. The watermark bits are inserted into each block using max-heap and min-heap tree property. Experimental results illustrate that the proposed method shows high robustness against numerous attacks. Moreover, it produces high quality watermarked images and provides high security. Furthermore, it has superior performance to recent methods in terms of imperceptibility, robustness, and security.

Automated Traffic Detection System Based on Image Processing

Abstract: This paper proposes a low-cost automated traffic detection system based on image processing. Dhaka is one of the crowded cities in the world with highly challenging traffic system. There is substantial lack of awareness among the drivers of transport system. As a result, citizens do not follow the rules and regulation while driving in Dhaka city. The tendency of violating the traffic regulation is noticeable throughout the country. As a result, the whole traffic system collapses very often and sometimes it ends-up with severe accidents. In recent days, the government has taken different initiatives including enlargement of pedestrian walkways, building new flyovers and foot-over bridges, expansion of existing roads. But, violation still the outcome of all these initiatives could not improve the situation significantly. The proposed system will automatically detect the traffic through live streaming video so that the detected images can be used to detect traffic violation. Later on, the law enforcement agency will be able to take necessary legal steps based on the stored information on the database.

A novel approach to label-free detection of DNA hybridization based on graphene quantum capacitance dependent frequency/wireless readout

Abstract: Graphene is an atomic layer thin two dimensional material with unique electrical and mechanical properties. Due to its high sensitivity, high conductivity, high carrier mobility, low intrinsic noises and high signal to noise ratio, it is being used in various sensing application. DNA Hybridization sensing is a key tool for genetic research as well as for detection of deadly diseases like Cancer, Hepatitis B and other complex hereditary diseases. There are various methods of DNA hybridization detection. One of the label free DNA hybridization detection methods is frequency readout. In this paper graphene quantum capacitance based frequency readout for label free DNA hybridization detection is proposed where graphene is used as the sensing material. This work shows that the mismatched and complementary DNA strands results in distinguished frequency range and the frequency output is almost linear with respect to concentration of DNA.