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Chittagong University of Engineering & Technology

EducationChittagong, Bangladesh
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.


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TL;DR: A DFT study of the synthesized MAX phase Zr2SeC has been carried out for the first time to explore its physical properties for possible applications in many sectors.
Abstract: A DFT study of the synthesized MAX phase Zr2SeC has been carried out for the first time to explore its physical properties for possible applications in many sectors. The studied properties are compared with prior known MAX phase Zr2SC. The structural parameters (lattice constants, volume, and atomic positions) are observed to be consistent with earlier results. The band structure and density of states (DOS) are used to explore the metallic conductivity, anisotropic electrical conductivity, and the dominant role of Zr-d states to the electrical conductivity. Analysis of the peaks in the DOS and charge density mapping (CDM) of Zr2SeC and Zr2SC revealed the possible variation of the mechanical properties and hardness among them. The mechanical stability has been checked using elastic constants. The values of the elastic constants, elastic moduli and hardness parameters of Zr2SeC are found to be lowered than those of Zr2SC. The anisotropic behavior of the mechanical properties has been studied and analyzed. Technologically important thermodynamic properties such as the thermal expansion coefficient, Debye temperature, entropy, heat capacity at constant volume, Gruneisen parameter along with volume and Gibbs free energy are investigated as a function of both temperature (0 to 1600 K) and pressure (0 to 50 GPa). Besides, the {\Theta}D, minimum thermal conductivity (Kmin), melting point (Tm), and {\gamma} have also been calculated at room temperature and found to be lowered for Zr2SeC compared to Zr2SC owing to their close relationship with the mechanical parameters. The value of the {\Theta}D, Kmin, Tm, and TEC suggest Zr2SeC as a thermal barrier coating material. The dielectric constant (real and imaginary part), refractive index, extinction coefficient, absorption coefficient, photoconductivity, reflectivity, and loss function of Zr2SeC are computed and analyzed.
Journal ArticleDOI
01 May 2021
TL;DR: Zhang et al. as discussed by the authors proposed an artificial neural network learning-based model considering multiple hidden layers for predicting context-aware smartphone usage, which takes into account context correlation analysis to reduce the neurons as well as to simplify the network model through filtering the irrelevant or less significant contexts.
Abstract: In this paper, we mainly formulate the problem of predicting smartphone usage based on contextual information, which involves both the user-centric and device-centric contexts. In the area of mobile analytics, traditional machine learning techniques, such as Decision Trees, Random Forests, Support Vector Machines, etc. are popular for building context-aware prediction models. However, real-life smartphone usage data may contain higher dimensions of contexts and can be huge in size considering the daily behavioral data of the users. Thus, the traditional machine learning models may not be effective to build the context-aware model. In this paper, we explore “Mobile Deep Learning”, an artificial neural network learning-based model considering multiple hidden layers for predicting context-aware smartphone usage. Our model first takes into account context correlation analysis to reduce the neurons as well as to simplify the network model through filtering the irrelevant or less significant contexts, and then build the deep learning model with the selected contexts. The experimental results on smartphone usage datasets show the effectiveness of the model.
Journal ArticleDOI
TL;DR: The main objective of this study was to investigate the outcomes from the combined use of chlorine dioxide and ozone in the prebleaching of Acacia mangium kraft pulps and found that 40% replacement gave the best result in terms of kappa reduction, hexenuronic acid removal and brightness gain.
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TL;DR: In this article, the authors have developed a framework for selecting the most suitable flood risk reduction policies according to the local situation which will ensure resilience and predict the probability of flood occurrence in coastal delta cities.
Abstract: Coastal delta cities are at risk to hydro meteorological hazards especially from flooding. To reduce this risk many cities have built extensive flood defence system that can only reduce the probability of flood occurrence. So, the study is focusing on developing a framework for selecting the most suitable flood risk reduction policies according to the local situation which will ensure resilience. First, from the physical and environmental point of view 10 DRR policies have been identified under three broad approaches based on the DRR initiatives by eleven precedent (model) cities. After that few explanatory variables are selected on the basis of geography, climate, flood hazard, risk magnitude and economic aspects. Then a correlation has been established among DRR policies and explanatory variables and then the pattern of correlations have been explained. The findings of this study show a framework from where appropriate DRR policies can be selected. It has been observed that in a stable political situation, a city can decide to adopt various DRR policies based on geography and climate, hazard pattern, magnitude and experience. The study further reveals that along with structural flood protection, practicing environmental and planning management can reduce the flood risk in coastal cities.
Proceedings ArticleDOI
01 Nov 2015
TL;DR: A blind people will shake the cell phone in a specific axis so that message from cellphone will go to nearest helping hand destination and a threshold and time limit is fixed so that the person can avoid false messages for usual cellphone movements.
Abstract: It could be difficult and challenging for any person (especially blind people) to inform in an unusual situation for instant help. Falling in any critical situation for blind people is very common. One way to assist them in their unexpected situation by using an app of cell phone is proposed and described in this paper. Every smartphone consists of a good number of sensors. We have utilized accelerometer sensor's event and have introduced spatial orientation sensitive messaging system. According to our proposed system, A blind people will shake the cell phone in a specific axis so that message from cellphone will go to nearest helping hand destination. Here we have fixed a threshold and time limit so that we can avoid false messages for usual cellphone movements. Our last effort was to track the person using geodata of received message. Qualitative and quantitative performance of this system is evaluated. Moreover the entire messaging system is tested in various constraints and factors.

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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20234
202240
2021243
2020241
2019228
2018119