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.

An Approach Towards Intelligent Accident Detection, Location Tracking and Notification System

Abstract: Advancement in transportation system has boosted speed of our lives. Meantime, road traffic accident is a major global health issue resulting huge loss of lives, properties and valuable time. It is considered as one of the reasons of highest rate of death nowadays. Accident creates catastrophic situation for victims, especially accident occurs in highways imposes great adverse impact on large numbers of victims. In this paper, we develop an intelligent accident detection, location tracking and notification system that detects an accident immediately when it takes place. Global Positioning System (GPS) device finds the exact location of accident. Global System for Mobile (GSM) module sends a notification message including the link of location in the google map to the nearest police control room and hospital so that they can visit the link, find out the shortest route of the accident spot and take initiatives to speed up the rescue process.

Distributed Energy Resources Optimization for Wireless Base Stations using Power Amplifier Switching

Abstract: With the increased deployment of cellular networks due to advanced transmission techniques, overall energy consumption of the telecommunication sector across the globe has grown. Numerous challenges for operators are springing up including the escalating number of base station (BS) sites and also the increasing operation cost as well as environmental impacts due to the use of sources such as fossil fuel. Therefore, to achieve optimization in power consumption of cellular network, global network operators are deploying different energy-saving strategies. In this paper, a simple software-based effective power amplifier switching algorithm requiring no change of infrastructure is proposed to save a significant amount of energy at the base station using a real-time traffic scenario. The proposed algorithm uses the Transmit Channel Allocation method to switch the power amplifier ON/OFF at the transceivers of BS sites automatically based on the continuous traffic analysis. To validate the proposed algorithm, a model consisting of 5 BSs with a solar system is considered, and the power amplifier switching algorithm is run via Matlab at these BSs to record the hourly power consumption over the year. The resulting optimized BSs power load represents a 17.31% reduction in average power consumption over the course of one year. A battery storage model using real-world hourly irradiance and temperature for 5 BSs was used to analyze the grid dependency of the model for both optimized and unoptimized annual load. Grid power utilization for both cases is compared to conclude that the proposed algorithm improved the overall power efficiency and lowered the cost of operation of the cellular network by reducing the average power consumption of the BSs. The hybrid solar power BS model using an optimum battery storage capacity became more grid independent with a 72.14% reduction in grid dependency as an impact of the optimization achieved using the proposed PA switching algorithm.

Design of an Intelligent Remote Monitoring and Control of Bangladesh Railway Transport System Using Information and Communication Technologies (ICTs)

Abstract: In Bangladesh, transport sectors are developing rapidly to meet the increasing demand for transporting passengers and freight inside and outside the country. But there is not such development in railway transport system. The Bangladesh Railway transport system is still using an old technology to monitor and control signalling, scheduling, operations etc. This paper describes various problems in the existing systems and also solutions have been provided considering the existing railway transport systems of Bangladesh. A new system has been developed to control and monitor the total railway transport system from remote locations. While designing the system, various sensors and actuators have been introduced and also Information and Communication Technologies (ICTs) have been applied in the field of railway transport. So a Machatronics aspect of system has been designed to ensure a collision free, safe and efficient operation and management of railway transport system. This system is not only for monitoring and controlling of railway transport but also ensures efficient asset management. As a result face-to-face accidents, cross-road accidents and accidents due to railway line displacements or breakage can be avoided and there will be no loss of assets and valuable human lives.Copyright © 2008 by ASME

Predicting Low Flow Thresholds of Halda-Karnafuli Confluence in Bangladesh

Abstract: Eco-hydraulic modeling for flow assessment has increased in recent years due to complex hydraulic factors that control different life stages of ecological habitat Both the Halda and Karnafuli Rivers play a vital role in the south-eastern part of Bangladesh In almost every dry season they experience lower inflow In this study, a 1D eco-hydraulic model, which is representing a Physical Habitat Simulation System (PHABSIM), and a 2D eco-hydraulic model for inflow regimes (CASiMiR), are applied to selected areas To study low and minimum flow regimes two key factors, the Weighted Usable Area (WUA) and the Habitat Suitability Index (HSI) were applied Based on the flow during flood tide and long term flow variability, a flow series was investigated to simulate suitable environmental flow regimes Both models predicted similar trends in incremental discharge variation during minimum inflow and average minimum inflow operating in the in a range of 25–301 m3/s Although, difficulties arise while acquiring river bed topography data in the 2D eco-hydraulic model set up, reasonable prediction accuracy and geometry of regime could be obtained However, insufficient bathymetric data necessitated the application of 1D eco-hydraulic simualtion which yielded reasonable performance while taking suitable eco-hydraulic factors into account

Hand Gesture Recognition Based on Surface Electromyogram Signal (sEMG) with Muscular Contraction Level and Real Time Implementation on An Artificial Prosthetic Wrist Using Artificial Neural Network (ANN)

Abstract: Hand, the main grasping organ of the human body, is controlled by the brain activity during particular work. This paper discusses about determining the patterns of five particular hand gestures by using the raw surface electromyogram signal (sEMG) with muscular contraction level (flex sensor signals) produced during the flexion of the muscles. The Artificial Neural Network (ANN) is trained by calculating time domain features from both of the sEMG and flex sensor signals. Using the trained neural network, when new data is taken in real time an artificial prosthetic wrist replicates the same hand gestures. The contribution of the paper is the addition of flex signals with sEMG. It is found that the training and testing accuracy is better when both sEMG and flex signals are used for healthy person. Another finding is that, for disable person, an artificial prosthetic wrist can replicate the hand gesture using sEMG signal but no significant change has been found using flex signal during the gesture recognition process.