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.

Deep Learning Approach for Predicting Optical Properties of Chalcogenide Planar Waveguide

Abstract: In this paper, deep learning-based Fully Connected Feedforward Neural Network (FFNN) model is applied to predict and analyze the optical properties comprising mode effective area, nonlinearity, effective index, and dispersion for a Ge 11.5 As 24 Se 64.5 chalcogenide (ChG) rib planar optical waveguide. This deep neural network algorithm gives exact predictions of optical phenomena mentioned above for common parameter settings of wavelength in the range 0.5 – 15 μm, waveguide core width of 1 – 8 μm and waveguide core thickness of 0.5 – 2.5 μm. The computational time required with deep neural network (for training) and finite-element method (FEM) solutions is also compared. This simple and fast-training FFNN, the deep learning approach employed here, predict the output for unfamiliar parameter setting of the optical waveguide faster than traditional numerical simulation techniques. This FFNN is further compared with state-of-the-art Random Forest (RF) algorithm and it is found that RF performs comparably to the FFNN.

Pseudoknots Prediction on RNA Secondary Structure Using Term Rewriting

Abstract: The presences of Pseudoknots generate computational complexities during RNA (Ribonucleic Acid) secondary structure analysis. It is a well known NP hard problem in computational system. It is very essential to have an automated algorithm based system to predict the Pseudoknots from billions of data set. RNA plays a vital role in meditation of cellular information transfer from genes to functional proteins. Pseudoknots are seldom repeated forms that produce misleading computational cost and memory. Memory reducing under bloom filter proposes a memory efficient algorithm for prediction Pseudoknot of RNA secondary structure. RNA Pseudoknot structure prediction based on bloom filter rather than dynamic programming and context free grammar. At first, Structure Rewriting (SR) technique is used to represent secondary structure. Secondary structure is represented in dot bracket representation. Represented secondary structure is separated into two portions to reduce structural complexity. Dot bracket is placed into bloom filter for finding Pseudoknot. In bloom filter, hashing table is used to occupy the RNA based nucleotide. Our proposed algorithm experiences on 105 Pseudoknots in pseudobase and achieves accuracy 66.159% to determine structure.

Low-cycle Fatigue Behavior and Constitutive Relations for a Ferritic Stainless Steel at Elevated Temperatures

Abstract: In this paper, the tensile and strain-controlled cyclic deformation behavior of a ferritic stainless steel which is developed for the exhaust manifold of automobiles is evaluated experimentally at different temperatures. The effect of temperature on monotonic tensile responses such as yield strength and ultimate tensile strength and the effect of temperature and strain amplitude on the evolution of peak stress are assessed. The objective of this study is also to reveal the mixed mode of cyclic hardening–softening behavior of the ferritic stainless steel under strain-controlled fatigue test conditions. A parameter, critical accumulated plastic strain, is introduced to the constitutive equations for the material for describing the hardening softening responses. The nonlinear constitutive equations for describing the cyclic responses are implemented into Finite Element code using determined parameters for obtaining numerical simulation. The stabilized hysteretic responses obtained from experiment and predicted from numerical simulation are compared and found to be realistic. Original Research Article Kabir and Yeo; CJAST, 39(3): 34-46, 2020; Article no.CJAST.53898 35

Effects of higher concentration of hole transport material on organic light emitting diode performance

Abstract: The effects of higher hole transport material (HTM) composition on single emissive layer (EML) based organic light emitting diode (OLED) performance are investigated quantitatively. Due to higher ratio of HTM in EML, the turn-on voltage is reduced from 3.5 V to 2.7 V. In parallel, OLED luminescence and current efficiency also increased with higher HTM concentration. This improvement of OLED performance because of higher HTM concentration in mixture of transport materials has been explained in terms of charge transport, carrier recombination and charge balancing in EML.

Design and Implementation of WSN Based Indoor Environmental Monitoring System Using Multiple Sensor Data Acquisition with IoT Integration

Abstract: Indoor environment condition monitoring is more focused in recent years, and ubiquitous computing is surrounding us with a convenient and comfortable information environment that is combining physical and computational infrastructures into an integrated environment. This environment is featuring an explosion of hundreds or thousands of computing devices and sensors that provide new functionality, offer specialized services, and boost productivity. However, for different situations and different infrastructure, the environment condition monitoring parameter varies remarkably. In the case of previously developed systems, three to four environmental parameters were analyzed, and data was not available on a remote device. The observation of sequential change in monitoring parameters is also crucial for many applications. In this paper, five independent parameters, i.e., temperature, barometric pressure, humidity, luminance, and gas concentration, are measured independently in each WSN node. The data is encrypted via the AES algorithm on the router side and decrypted on the coordinator side. After the data is received by the coordinator node of WSN and send to the IoT server where the real-time data is plotted with respect to time, the data can be monitored for analysis from the remote android device since a dedicated android application is developed for this. The WSN data transfer efficiency is measured with respect to Received Signal Strength Intensity (RSSI). Even though the power consumption of Zigbee is about 2mW, at 600m distance, the value of RSSI is found -69.17dBm.