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.

GIS and Multi Criteria Decision Method Based Approach of Identifying Appropriate Landfill Sites for the City Of Chittagong

Abstract: Urban solid waste management is a serious environmental issue confronting the cities in developing countries like Bangladesh. Apathy towards the problem, inadequacy of field level information and data, and resource constraints may be blamed for the dismal situation of solid waste management often visible in our cities. The most common problems associated with the absence of sustainable solid waste management practice include diseases transmission, odour nuisance, atmospheric and water pollution, visual blight, fire hazards and economic losses. In the three major cities of Bangladesh, Dhaka, Chittagong & Khulna, per capita production of solid waste is around 0.4kg /capita / day, but only a fraction of this waste is carried to the final disposal site. A recent study on Municipal Solid Waste Management found that waste generated in Chittagong was 0.352kg/cap/day. Considering per capita generation of solid waste as 0.352kg to 0.4kg per capita per day, for a population of 25, 92,459 distributed within the 41 wards of the city (BBS, 2011), total solid waste generated in Chittagong will be around 913 tons to 1037 tons per day in 2012. Currently, Chittagong City Corporation (CCC) has only two dumping yards: one at Ananda Bazar, Halishahar at the mid western part of the city and the other at Arefin Nagar, Pahartali at the northern tip of the city. None of these sites are sanitary landfill. Considering the city area of 168 sq. kms, only two dumping sites are not sufficient to cater to the requirement of the city. Long distances between the collection points and the disposal site are responsible for inefficient utilization of the CCC trucks and the resulting increase in the haulage time that eventually increases the costs of collection and disposal. This study utilized Geographic Information System (GIS) and Multi-Criteria Decision Method (MCDM) for the identification and selection of appropriate landfill sites within the city of Chittagong. Thirteen sites were identified initially. Out of these sites four were found to be most appropriate and suitable for use as landfill. DOI: http://dx.doi.org/10.3126/ije.v4i1.12174 International Journal of Environment Volume-4, Issue-1, Dec-Feb 2014/15, page: 1-15

Solving Multiple Depot Vehicle Routing Problem (MDVRP) using Genetic Algorithm

Abstract: Vehicle Routing Problem is a NP-Hard classical complex combinatorial problem described as task of determining efficient and shortest delivery or pickup routes to service several customers scattered in different geographical regions with a fleet of vehicles with additional predefined constraints to satisfy real-life scenarios. Vehicle Routing Problem has wide applications in Logistics and Transportation with growing economic importance. In Solutions of Vehicle Routing Problem maintaining the defined restrictions is of high Interest. Exact solutions of Vehicle Routing Problem can't be obtained due requirement of high computation time. Due to Genetic Algorithm's stochastic characteristics and efficiency in solving combinatorial problems it is used to find true and approximate solutions of Vehicle Routing Problem. For constrained variants of Vehicle Routing Problem feasible space is smaller than whole search space and Genetic Algorithm finds a solution with high precision that doesn't violate any of the constraints.

True three-phase bidirectional switch based AC-AC Buck-Boost converter topology

Abstract: A new three-phase true bidirectional switch is proposed in this paper. This switch consist of a unidirectional switch enclosed in two three phase diode bridges with bidirectional input and output terminals. A family of simple topologies of three-phase AC-AC converters using the true bidirectional switch is possible as direct extension of DC-DC converters having similar operating principle. Steady state analysis and simulation results are presented in this paper using the Buck-Boost topology as an example. Performance of the circuit has been found satisfactory with duty cycle variation. The proposed converter can be used for AC-AC line conditioning to overcome voltage sags, surges, and load fluctuations. Because the proposed converters employ only two active devices, they can reduce cost and complexity and improve system reliability.

An Approach Towards Domain Knowledge-Based Classification of Driving Maneuvers with LSTM Network

Abstract: The proposed work develops an LSTM model for multi-class classification of driving maneuver from sensor fusion time series dataset. The work also analyzes the significance of sensor fusion data change rule and utilized the idea with deep learning time series multi-class classification of driving maneuver. We also proposed some hypotheses which are proven by the experimental results. The proposed model provides Train Accuracy: 99.98, Test Accuracy: 97.2021, Precision: 0.974848, Recall: 0.960154 and F1 score: 0.967028. The Mean-Per-Class Error (MPCE) is 0.01386. The significant rules can accelerate the feature extraction process of driving data. Moreover, it helps in the automatic labeling of the unlabeled dataset. Our future approach is to develop a tool for generating a categorical label for unlabeled dataset. Besides, we have a plan to optimize the proposed classifier using grid search.

MSuPDA: A Memory Efficient Algorithm for Sequence Alignment

Abstract: Space complexity is a million dollar question in DNA sequence alignments In this regard, memory saving under pushdown automata can help to reduce the occupied spaces in computer memory Our proposed process is that anchor seed (AS) will be selected from given data set of nucleotide base pairs for local sequence alignment Quick splitting techniques will separate the AS from all the DNA genome segments Selected AS will be placed to pushdown automata’s (PDA) input unit Whole DNA genome segments will be placed into PDA’s stack AS from input unit will be matched with the DNA genome segments from stack of PDA Match, mismatch and indel of nucleotides will be popped from the stack under the control unit of pushdown automata During the POP operation on stack, it will free the memory cell occupied by the nucleotide base pair