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.

Automatic Sickle Cell Anemia Detection Using Image Processing Technique

Abstract: One of the important parts of the human body is red blood cells (RBCs). Disk shape is the ordinary red blood cell’s shape. One type of ailment of blood is sickle cell anemia (SCA) in where red blood cells are formed in crescent shapes from their actual shapes. Thousands of babies around the world are born with this blood disorder every year. The numbers of SCA are assumed to increase about 30% by 2050 globally. About 0.07 to 0.1 million Americans are victims of SCA. A new way is introduced to detect and classify sickle cells in RBC using image processing technique to start treatment as early as possible. Firstly, this method collects images of blood. The pre-processing phase is done through gray scale image conversion, image enhancement & median filter. Then, the threshold segmentation is applied to segment the RBCs and morphological operations are used to remove the undesired objects from images. Metric value, aspect ratio, entropy, mean, standard deviation and variance are used as features which are extracted. Finally, the support vector machine classifier is trained to test the images. The system provided better accuracy and sensitivity than existing methods. This automatic detection technique would be very useful to save the precious lives of the people.

Crime Prediction Using Spatio-Temporal Data

Abstract: A crime is an action which constitutes a punishable offence by law. It is harmful for society so as to prevent the criminal activity, it is important to understand crime. Data driven researches are useful to prevent and solve crime. Recent research shows that 50% of the crimes are committed by only handful of offenders. The law enforcement officers need early information about the criminal activity to response and solve the spatio-temporal criminal activity. In this research, supervised learning algorithms are used to predict criminal activity. The proposed data driven system predicts crimes by analyzing San Francisco city criminal activity data set for 12 years. Decision tree and k-nearest neighbor (KNN) algorithms are applied to predict crime. But these two algorithms provide low accuracy in prediction. Then, random forest is applied as an ensemble methods and adaboost is used as a boosting method to increase the accuracy of prediction. However, log-loss is used to measure the performance of classifiers by penalizing false classifications. As the dataset contains highly class imbalance problems, a random undersampling method for random forest algorithm gives the best accuracy. The final accuracy is 99.16% with 0.17% log loss.

Nonlinear Schamel Korteweg-De Vries–Burgers Equation to Report Ion-Acoustic Waves in the Relativistic Plasmas

Abstract: This article examines the essential phenomena of nonlinear ion-acoustic waves (IAWs) in the unmagnetized relativistic collisionless plasmas by considering generalized distributed electrons, Boltzmann distributed positrons, and relativistic ions having kinematic viscosity. The nonlinear electrostatic IA shock and solitary wave dynamics are conducted by new nonlinear evolution equations, such as Korteweg-de Vries (KdV)–Burgers-type Schamel equation and the well-known KdV-type Schamel equation, respectively, due to the involvement of superthermal electrons, having trapping efficiency and kinematic viscosity of ions. It is first time reported that the nonlinear IAWs are supported by only positive polarity shock structures and solitons for superthermal electrons, having trapping efficiency with and without the influence of kinematic viscosity of ions, respectively, in the relativistic plasmas.

Anti-inflammatory and analgesic alkaloid from Sida cordifolia linn.

Abstract: The analgesic and anti-inflammatory activities of a new alkaloid, 1,2,3,9-tetrahydro-pyrrolo [2,1-b] quinazolin-3-ylamine (compound 1) isolated from Sida cordifolia Linn. were investigated in animal models. In the acetic acid induced writhing model, the compound 1 showed 25.4 (P<0.05) and 52.43% (P<0.01) inhibition of writhing response at doses of 25 and 50 mg/kg body weight respectively. The alkaloid also produced significant increase in the tail flick latency in radiant heat tail-flick method. In Carrageenan induced rat paw edema the compound 1 produced 16.93 and 24.43 % inhibition of paw edema at the doses of 25 and 50 mg/kg body weight respectively at the third hour of study.