Now showing items 1-20 of 50

    • 2D Log gabor and SVD based parallel texture feature extraction usingNVIDIA GPU 

      Raja, Sharif Ahmmad; Ratul, Aminur Rab; Niloy, Sakib Anjum (BRAC University, 2016-04-20)
      Texture feature is one of the most popular technique in image segmentation, classification, retrieval and many others. Now a days, among other ways of texture feature extraction, Gabor filtering has been widely used. Here, ...
    • Accelerating 2d fault diagnosis of an induction motor using a graphics processing unit 

      Uddin, Jia; Van, Dinh Nguyen; Kim, Jong-Myon (© 2015 Science and Engineering Research Support Society, 2015)
      This paper presents a computationally efficient graphics processing unit (GPU) implementation of a reliable fault diagnosis method using two-dimensional (2D) representation of vibration signals. The fault diagnosis method ...
    • Accelerating a Bellman-Ford routing algorithm using GPU 

      Jeong, In-Kyu; Uddin, Jia; Kang, Myeongsu; Kim, Cheol-Hong; Kim, Jong-Myon (© 2014 Springer Verlag, 2014)
      This paper presents a graphics processing unit (GPU)-based implementation of the Bellman-Ford (BF) routing algorithm used in distance-vector routing protocols. In the proposed GPU-based approach, multiple threads concurrently ...
    • Accelerating IP routing algorithm using graphics processing unit for high speed multimedia communication 

      Uddin, Jia; Jeong, In-Kyu; Kang, Myeongsu; Kim, Cheol-Hong; Kim, Jong-Myon (© 2016 Springer New York LLC, 2016)
      This paper presents a Graphics Processing Unit (GPU)-based implementation of a Bellman-Ford (BF) routing algorithm using NVIDIA’s Compute Unified Device Architecture (CUDA). In the proposed GPU-based approach, multiple ...
    • Acoustic emission sensor network based fault diagnosis of induction motors using a gabor filter and multiclass support vector machines 

      Islam, Md Rashedul; Uddin, Jia; Kim, Jongmyon (© 2016 Old City Publishing, Inc., 2016)
      Reliable and efficient fault diagnosis of induction motors is an important issue in industrial environments. This paper proposes a method for reliable fault diagnosis of induction motors using signal processing of acoustic ...
    • An adaptive digital image watermarking scheme with PSO, DWT and XFCM 

      Mitashe, Mashruha Raquib; Habib, Ahnaf Rafid Bin; Razzaque, Anindita; Tanima, Ismat Ara; Uddin, Jia (© 2017 IEEE, 2017-02)
      In this paper, a novel adaptive digital image watermarking model based on modified Fuzzy C-means clustering is proposed. For watermark embedding process, we used Discrete Wavelet Transform (DWT). A segmentation technique ...
    • Alumni opportunities using machine learning 

      Siaum, Arshif Sharlimin; Amin, Md. Jawad; Islam, Kamrul (BRAC University, 2018-12)
    • Analyzing users’ sentiment towards video games based on reviews from microblog 

      Roy, Abhijeet; Khan, Mobtasim Hasan; Chakraborty, Shandro (BRAC University, 2018-04-25)
      This project proposes a new model of sentiment analysis for video game’s reviews. In these days people tend to check reviews and ratings of video games before spending money and time for a game. In the proposed model, ...
    • Assisting the visually impaired people using image processing 

      Rahman, Ferdousi; Ritun, Israt Jahan; Farhin, Nafisa (BRAC University, 2018-07)
      Visually impaired people face difficulties in safe and independent movement which deprive them from regular professional and social activities in both indoors and outdoors. Similarly they have distress in identification ...
    • Automated irrigation system using solar power 

      Uddin, Jia; Reza, S.M. Taslim; Newaz, Qader; Uddin, Jamal; Islam, Touhidul; Kim, Jong-Myon (© 2012 IEEE, 2012)
      This paper proposes a model of variable rate automatic microcontroller based irrigation system. Solar power is used as only the source of power to control the overall system. Sensors are placed on the paddy field and these ...
    • An automated traffic signal management system 

      Chowdhury, Partha Narayan; Ray, Tonmoy Chandra (BRAC University, 2017-04-18)
      Today, traffic congestion has turned out to be a very significant issue due to the increasing number of vehicles and poor traffic management in our busy overcrowded cities. In order to maintain the continuous piling of ...
    • Bangla sign language interpretation using image processing 

      Arko, Fahmid Nasif; Tabassum, Nujhat; Trisha, Taposhi Rabeya; Ahmed, Fariha (BRAC University, 2017-04-18)
      Instant feedback on sign language can greatly improve sign language interpretation. In this project we plan to use efficient methods to detect the hand correctly using skin detection algorithm and removing all noise using ...
    • Bangla speech recognition using 1D CNN and LSTM with different dimension reduction techniques 

      Nirjhor, S M Mahsanul Islam; Chowdhury, Mohammad Abidur Rahman; Sabab, Md. Nazmus (Brac University, 2019-08)
      In the area of machine learning, speech recognition was always a hot topic but as world's 8th most widely spoken language Bangla hasn't got the focus as much as she deserved. This research will be on speech recognition ...
    • Blurring of inappropriate scenes in a video using image processing 

      Islam, Rahat Shahriar; Siddiqui, Raisa; Roy, Dipta (Brac University, 2018-10)
      Inappropriate scenes such as bloody scenes, nudity, gore, drugs, weapons etc. are considered inappropriate especially in a developing Muslim country like Bangladesh. In our country, such scenes are very discouraged for ...
    • Comparative analysis of protein alignment algorithms in parallel environment using CUDA 

      Fahim, Shadman; Prince, Gulshan Jubaed; Hossain, Shehabul (BRAC University, 2016-04-18)
      In bioinformatics to identify evolutionary relationships two sequences are matched to find similarity. Smith Waterman, a dynamic algorithm, is a common choice to carry out this alignment process. However, with the exponential ...
    • Detection and recognition of Bangladeshi fishes using surf features and CNN classifier 

      Shuhin, Syed Adiba; Tajrin, Jannatul; Akhter, Afrin; Israth, Chowdhury (Brac University, 2018-07)
      This thesis proposes the detection and recognition of Bangladeshi local fishes using image processing. In the proposed model, we have successfully detected fishes using grass-fire algorithm along with other methods like ...
    • Drone detection by neural network using SURF feature and GLCM method 

      Ahmed, Tanzia; Roy, Bir Ballav; Rahman, Tanvir (BRAC University, 2018-04)
      This presents a drone detection method using image processing. In the proposed model, a hybrid feature extraction method using SURF and GLCM is utilized. As a machine learning tool, we use a neural network for pattern ...
    • Early fire detection using enhanced optical flow analysis technique 

      Khondaker, Arnisha; Khandaker, Arman (BRAC University, 2018-04)
      This paper proposes a multi-stage fire detection model that consists of chromatic segmentation, shape analysis and differential optical flow estimation. At the initial phase, color segmentation is carried out which takes ...
    • An efficient way to convert 1D signal to 2D digital image using energy values 

      Azad, Muntasir; Khaled, Faiyaz; Rumman, Md. Rakib Hasan (BRAC University, 2018-04)
      Image processing and feature extraction techniques are mandatory for any image based application. Basically, major goals of texture research in computer vision are to understand, model and process texture and ultimately ...
    • Emotion recognition using brian signals based on time-frequency analysis and supervised learning algorithm 

      Hossain, Prommy Sultana Ferdawoos; Shaikat, Istiaque Mannafee; George, Fabian Parsia (BRAC University, 2018-04)
      Over the years many groundbreaking research involving Brain Computer Interface (BCI), has been conducted in order to study emotions of human beings, to build better-quality human-machine interaction systems. On the other ...