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.

Application of the novel ( G ′/ G )-expansion method to construct traveling wave solutions to the positive Gardner-KP equation

Abstract: The novel (G′/G)-expansion method is one of the powerful methods accredited at the present time for establishing exact traveling wave solutions to nonlinear evolution equations (NLEEs). In this article, the method has been implemented to find the traveling wave solutions to the positive Gardner-KP equation. The efficiency of this method for finding exact and traveling wave solutions has been demonstrated. The obtained solutions have been compared with the solution obtained by other methods. The solutions have also been demonstrated by figures. It has been shown that the method is straightforward and an effective tool for solving NLEES that occur in applied mathematics, mathematical physics, and engineering.

Classification of Indoor Human Fall Events Using Deep Learning.

Abstract: Human fall identification can play a significant role in generating sensor based alarm systems, assisting physical therapists not only to reduce after fall effects but also to save human lives. Usually, elderly people suffer from various kinds of diseases and fall action is a very frequently occurring circumstance at this time for them. In this regard, this paper represents an architecture to classify fall events from others indoor natural activities of human beings. Video frame generator is applied to extract frame from video clips. Initially, a two dimensional convolutional neural network (2DCNN) model is proposed to extract features from video frames. Afterward, gated recurrent unit (GRU) network finds the temporal dependency of human movement. Binary cross-entropy loss function is calculated to update the attributes of the network like weights, learning rate to minimize the losses. Finally, sigmoid classifier is used for binary classification to detect human fall events. Experimental result shows that the proposed model obtains an accuracy of 99%, which outperforms other state-of-the-art models.

Bioethanol production from forest residues and life cycle cost analysis of bioethanol-gasoline blend on transportation sector

Abstract: In this study, an experimental investigation of pure bioethanol production from the waste biomass of the most significant cultivated feedstock (oil palm and rubber-wood) in Malaysia and life cycle cost analysis of bioethanol-gasoline blend on Malaysian transportation sector has been demonstrated. The experimental investigations presented all the stages from oil palm frond/leaves and rubber-wood sawdust collection to bioethanol purification. Both feedstocks have been pre-treated by sulfuric acid and sodium hydroxide, hydrolyzed by cellulase enzyme, and fermented by Saccharomyces cerevisiae within 12–72 h to produce bioethanol. After distillation, 35% and 45% pure bioethanol was obtained for mixed oil palm residues and rubber-wood sawdust, respectively. Detailed life cycle cost analysis of a large-scale bioethanol plant (20 ktonns/y) has been designed based on the experimental outcome for 20 years life time. The possibility of 5% (E5) and 10% (E10) replacement of total gasoline application for Malaysian transportation sector by the produced bioethanol has been simulated using simulation software code blocks. From the economic perspective, the results presented that both waste biomass can be converted into a value-added product, bioethanol, and a by-product, biomass content that can add market value as commercial biofertilizer. This study suggested that partial substitution of gasoline with bioethanol produced from forest residues could lead to the significant commercial aspect of fuel savings for the transportation sector in Malaysia.

WiMAX security analysis and enhancement

Abstract: The importance of IEEE 802.16, Worldwide Interoperability for Microwave Access (WiMAX) is growing and will compete with technologies such as 3G. The acceptance and adoption of technologies also depend on security. Therefore, this article shows security vulnerabilities found in WiMAX and gives possible solutions to eliminate them. We find the initial network procedure is not effectively secured that makes man-in-the-middle attack possible. Focusing on this attack, we propose Diffie-Hellman (DH) key exchange protocol to enhance the security level during network initialization. We modify DH key exchange protocol to fit it into mobile WiMAX network as well as to eliminate existing weakness in original DH key exchange protocol. Finally we found that the proposed algorithm shows 2.5 times better performance in comparison with existing systems.

Digital electric meter reading recognition based on horizontal and vertical binary pattern

Abstract: Digital meter reading recognition from a digital electric meter image is the key step in the field of digital image processing to evaluate the meter readings from different environmental conditions automatically This work has gain important for the purpose of automatic generation of electric bill from digital electric meter image In this regard, a digital electric meter reading recognition framework is proposed in this paper For that initially, the input image is normalized and converted to YCbCr image As the digital electric meter reading region is resolute with color light, especially green, the reading region is extracted from YCbCr image based on the value of the Cb and Cr After that, Canny edge operator is employed on the extracted region to find the edge image In this edge image, the individual digit's edge gaps are filled up through the morphological operation to find individually connected digit edge image These individual digits are segmented from an edge image through the vertical projection Furthermore, the individually segmented digits are filled and thinned to detect the shapes of the digits From these segmented digit shapes the Horizontal and Vertical Binary (HVB) pattern features are extracted This is the key contribution of this paper Finally, based on the HVB patterns the digital meter reading sequence is recognized The experimental result reveals that the proposed framework is practical and effective