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.

Automatic detection, extraction and mapping of Brain Tumor from MRI scanned images using Frequency Emphasis Homomorphic and cascaded hybrid Filtering techniques

Abstract: Magnetic Resonance Imaging is one of the best technologies currently being used for detecting Brain Tumor at both early and advanced stages. This paper proposes a very simple, efficient and automatic technique to detect brain tumor from MRI scanned images. Usually tumor contains more water as well as more Hydrogen atoms than normal tissue. So the intensity of tumor regions in MRI images will be different from normal tissues. This methodology presented here utilizes the intensity difference immaculately by using Frequency Emphasis in Homomorphic Filtering. Especially tumor regions are intensified and noises are reduced by Gaussian equation based algorithm. Hybrid filter is used in cascaded method with spatial domain filters to eliminate time domain noises. Then by thresholding, segmentation and morphological operations the tumor regions are extracted and mapped in edge detected image of brain. This not only provides the size of the tumor region but also its accurate position in Brain.

Simulation of channel dynamics of the Padma river considering seasonal variations: A GIS and statistical approach

Abstract: The Padma river, for being dynamic, is subjected to frequent and irregular shifting, which creates various socioeconomic, ecological, and environmental threats. Besides, due to having seasonal influences, these threats become more intense during the monsoon period than the dry season. Considering these issues, the present study aims to investigate the spatiotemporal changes of the Padma river during 1988–2019 with seasonal variations, also simulating the changes till 2035 using multi-temporal satellite imageries. GIS and ARIMA model is used to perform spatiotemporal analysis and simulation, respectively. This study focused on the lateral shifting of 21 cross-sections along the Padma river channel flowing through 19 upazilas of six (06) districts in the northwest side of Bangladesh. The study finds that the width of the channel changes so frequently to its right and left sides during the last 31 years. The width increases in the summer season, indicating destruction of the river vicinity over time. The highest lateral shifting of the channel has also occurred at the Bagha and Daulatpur upazilas. The river is likely to be shifted more than 11 km and 13 km (winter and summer, respectively) in the next 16 years, along with the cross-section X10 at Bagha and Daulatpur upazila. Besides, the river channel's sinuosity has decreased till 2011 while it has increased suddenly in 2019. On the other hand, the braided index of the river has increased till 2011 and fell in 2019.

Technical and economic assessment of biogas based electricity generation plant

Abstract: To meet the ever-increasing demand of energy, renewable energy can open up new possibilities in developing countries. Renewable energy sources, such as biogas can be used for off-grid electricity generation. Although biogas is not known to be an efficient source of electricity, due to the abundance of raw materials it is still used in rural areas. Our study shows that mixing different raw materials in a proper ratio, also known as co-digestion can make a great difference in efficiency. We present in the paper, a model for biogas based low-cost off-grid power plant for rural areas. In our design, we take into account the generator size, and some maintenance tasks, such as H2S removal unit etc. We also make economic assessments of small power plants. Our model and assessments indicate that electricity generation from biogas is feasible even for relatively small application in the range of 10-50 kW. Potential of biogas in other applications is also mentioned here.

MIVA: Multimodal Interactions for Facilitating Visual Analysis with Multiple Coordinated Views

Abstract: Typically, people perform visual data analysis using mouse and touch interactions. While such interactions are often easy to use, they can be inadequate for users to express complex information and may require many steps to complete a task. Recently natural language interaction has emerged as a promising technique for supporting exploration with visualization, as the user can express a complex analytical question more easily. In this paper, we investigate how to synergistically combine language and mouse-based direct manipulations so that weakness of one modality can be complemented by the other. To this end, we have developed a novel system, named Multimodal Interactions System for Visual Analysis (MIVA), that allows user to provide input using both natural language (e.g., through speech) and direct manipulation (e.g., through mouse or touch) and presents the answer accordingly. To answer the current question in the context of past interactions, the system incorporates previous utterances and direct manipulations made by the user within a finite-state model. We tested the applicability of MIVA on several dashboards including a COVID-19 dashboard that visualizes coronavirus cases around the globe. Our demonstration provides initial indication that the MIVA system enhances the flow of visual analysis by enabling fluid, iterative exploration and refinement of data in a dashboard with multiple-coordinated views.