International Islamic University Chittagong

www.iiuc.ac.bd
Dhaka, Bangladesh

The International Islamic University Chittagong or IIUC for short is a private university in Bangladesh located in Chittagong the major port and second-largest city of the country. It was founded in 1995 under the Private Universities Act of 1992 . Islamic University Chittagong Trust is the founder organization of this university. IIUC is still governed by IUCT. It got government approval on February 11, 1995. Wikipedia.

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Islam M.A.,International Islamic University Chittagong
2016 International Conference on Innovations in Science, Engineering and Technology, ICISET 2016 | Year: 2016

Speaker identification is a biometric technique of determining an unknown speaker's identity among a number of speakers using distinguish latent information of uttered speech. Crime investigation, security control, telephone banking and trading, and information reservation are some applications of this technique. Frequency Domain Linear Prediction (FDLP) is a time-frequency-based feature has been derived using 2-D autoregressive model. This feature was constructed from sub-bands short frame energies estimation. FDLP has been used in this study to propose a robust text-dependent speaker identification technique. The clean features were used to obtain speaker behavioural model. Support vector machine has been used to train the proposed method. This presented study was tested in both clean and noisy conditions to validate the method extensively. The proposed method got significant improved performance over all traditional methods performances in noisy conditions. The obtained performance was indicated; the proposed method was very robust to noises and showed consistent performance irrespective to noises. © 2016 IEEE.


Islam M.A.,International Islamic University Chittagong
2016 International Conference on Innovations in Science, Engineering and Technology, ICISET 2016 | Year: 2016

Gender classification technique is a part of the signal processing comprises with feature extraction and behavioural gender modelling. Fundamental frequency and pitch are mostly used as feature for gender detection due to their unique characteristics in voice source. In this study, Gammatone Frequency Cepstral Coefficient (GFCC)-based robust gender classification method has been presented. This study was accomplished using speech samples from a text-dependent data set. The prototype gender behavioural modelling was done using Gaussian mixture model (GMM) to obtain better performance and only clean signal was used to train the model. The performance of the proposed method was tested under both clean and contaminated conditions. The clean signal was contaminated using nine different noises at a range of signal-To-noise ratios (SNRs) from 0 dB to 10 dB. The obtained performance showed the proposed method was very robust against noise and the average performance at 0 dB SNR was almost 100% for female and 92% for male irrespective to noises. So, it could be said the proposed method performance was almost noise invariant. © 2016 IEEE.


Ullah M.A.,International Islamic University Chittagong
IWCI 2016 - 2016 International Workshop on Computational Intelligence | Year: 2016

Educational Institutions attempts to gather feedback from students' to study their sentiments towards courses and instructors and to enhance the performance of the instructors. Basically, such feedbacks are gathered at the end of the semester with the use of survey forms. However, this technique is very tedious, slow and time consuming. With the advent of social media, especially Facebook, the collection of feedback become easier through Facebook pages and groups. But, analyzing those feedbacks is equally challenging. This paper addresses those problems and uncovers the best model for analyzing those feedbacks with the use of machine learning techniques such as Support Vector Machines (SVM), Maximum Entropy (ME), Naive Bayes (NB), and Complement Naive Bayes (CNB) and applying neutral class. And, found SVM as the highest performer with an accuracy of 97% by applying different preprocessing and feature extraction techniques and avoiding neutral class, which outperform state-of-art work by 2%. © 2016 IEEE.


Kamruzzaman S.M.,Hankuk University of foreign Studies | Alam M.S.,International Islamic University Chittagong
Proceedings of 2010 13th International Conference on Computer and Information Technology, ICCIT 2010 | Year: 2010

In this paper, we propose a dynamic TDMA slot reservation (DTSR) protocol for cognitive radio ad hoc networks. Quality of Service (QoS) guarantee plays a critically important role in such networks. We consider the problem of providing QoS guarantee to users as well as to maintain the most efficient use of scarce bandwidth resources. A dynamic frame length expansion and shrinking scheme that controls the excessive increase of unassigned slots has been proposed. This method efficiently utilizes the channel bandwidth by assigning unused slots to new neighboring nodes and increasing the frame length when the number of slots in the frame is insufficient to support the neighboring nodes. It also shrinks the frame length in an effective way. Our proposed scheme, which provides both QoS guarantee and efficient resource utilization, be employed to optimize the channel spatial reuse and maximize the system throughput. Extensive simulation results show that the proposed mechanism achieves significant performance improvement in multichannel cognitive radio ad hoc networks. ©2010 IEEE.


Sobhani F.A.,International Islamic University Chittagong | Amran A.,Universiti Sains Malaysia | Zainuddin Y.,Universiti Malaysia Pahang
Journal of Cleaner Production | Year: 2012

This study aims to describe the status of disclosure practices of corporate sustainability in the annual reports and corporate websites of the banking industry in Bangladesh. It is revealed in the study that, to varying degrees, all listed banks practice sustainability disclosure in an unstructured manner in both the annual reports and corporate websites. The annual report surpasses the corporate website in the disclosure of all categories of corporate sustainability disclosure (CSD) practices except product responsibility disclosure. Unlike the environmental and economic dimensions, issues concerning the social dimension are generally disclosed. Islamic banks disclose more sustainability information in comparison to conventional banks. It is also found that among the three generation, the older bank does not outperform the younger bank in terms of the sustainability disclosure. © 2011 Elsevier Ltd. All rights reserved.


Uddin M.T.,International Islamic University Chittagong
2015 4th International Conference on Informatics, Electronics and Vision, ICIEV 2015 | Year: 2015

Automated analysis of social media documents has a tremendous impact in our day to day life since we extensively use social media to share our thoughts, feelings, tastes etc. However, the automatic social media analysis is still a very challenging task due to the massive amount of social media documents as well as the uncontrolled, dynamic and rapidly-changing content of social media documents. To automate social media analysis, this paper presents an automatic feedback prediction model based on novel Ada-Boost learning algorithm for blog documents considering realistic scenario. In this approach, an Ada-Boost classifier is applied to the numerous features extracted from crawled blog document to predict whether someone comments on a blog document or not in the next 24 hours of its publication in blogs. The evaluation results of the experiments conducted on the publicly available benchmark blog feedback data set indicate that the proposed technique is efficient both in terms of feedback prediction accuracy and computational time; the proposed approach yielded the maximum feedback prediction rate of 91.4%. © 2015 IEEE.


Uddin M.T.,International Islamic University Chittagong
2015 4th International Conference on Informatics, Electronics and Vision, ICIEV 2015 | Year: 2015

The automatic recognition of facial expressions has a tremendous impact in many research fields, especially in the field of sign language since facial expressions contribute towards the formation of grammatical structure of the language that reduce the ambiguity of the sign language understanding. However, the automatic recognition of grammatical facial expressions is still a very challenging task due to the signer-based variation of the grammatical facial expressions, and the co-occurrence of manual and non-manual signs. This paper presents a novel Ada-Random Forests framework for recognizing the grammatical facial expressions used in Brazilian sign language. In this approach, an Ada-Boost feature selection algorithm is applied to select compact feature subsets from the numerous raw extracted features to reduce the computational time as well as to improve the recognition rate of the system; then, selected features are fed to a robust random forests classifier, given their capability to handle high-dimensional and unbalanced data, to recognize the grammatical facial expressions. The evaluation results of the experiments conducted on the first publicly available benchmark data set on Brazilian sign language indicate that the proposed technique improve the recognition metric by as much as 7.5% over the previously applied technique. © 2015 IEEE.


Uddin M.T.,International Islamic University Chittagong
2015 4th International Conference on Informatics, Electronics and Vision, ICIEV 2015 | Year: 2015

Automated human gestures analysis has a wide range of promising applications in many advanced fields including human-computer interaction, motion analysis, and security surveillance. However, automatic gesture segmentation is still a very challenging task due to the spatio-temporal variation and endpoint localization issues, and the variation of gestures based on performers, topics and performance sessions. This paper presents a novel framework for segmenting gesture unit based on Ada-Boost and extremely randomized trees algorithms from video streams. In this approach, an Ada-Boost feature selection algorithm is applied to select compact feature subsets from the numerous raw extracted features to reduce the computational time as well as to improve the segmentation rate of the gesture segmentation model; then, selected features are fed to a robust extremely randomized trees classifier, given their capability to handle complex and unbalanced data, to segment gesture unit. The evaluation results of the experiments conducted on the publicly available benchmark gesture segmentation data set indicate that the proposed technique improve the segmentation metric by as much as 5.2% over the previously applied techniques. © 2015 IEEE.


Rahaman S.,International Islamic University Chittagong
2nd International Conference on Electrical Engineering and Information and Communication Technology, iCEEiCT 2015 | Year: 2015

Diabetes is a knotty disease and very common in the world. It can affect almost every organ of the body. The diagnosis of diabetes is determining from some medical and clinical data associate with diabetes. However, all the data are associated various types of uncertainty, which can cause for time delay, inaccuracy of the diagnosis. A system for automated medical diagnosis would enhance the accuracy of the diagnosis and reduce the cost effects. This paper presents an effective approach for diagnosing diabetes using Belief Rule Base (BRB) with evidential reasoning, which can handle the errors and uncertainties. This paper used the medical and clinical real data to develop and test this system. It has been observed that, this system provides user interactive and reliable results of diabetes diagnosis in percentage. © 2015 IEEE.


Begum S.,International Islamic University Chittagong
International Journal of Applied Linguistics and English Literature | Year: 2014

Al Mahmud’s anti-imperial spirit is evident in his poems resisting the occupation of land by the imperialistic powers throughout the globe. He protests against the aggression of imperial powers at present as well as that happened in the past. Though formal colonies are no more today, colonialism still is there in different form --- in the form of imperialism. Colonies are established for securing wealth from the occupied land. Imperialism launches its power over the land of different country without establishing colonies but its purpose is all the same. Both colonialism and imperialism exploit others’ land to enrich themselves. Occupation of land paves the way for imperialism as in the case of British colonialism in Bengal and subsequently in Indian subcontinent. But the launching of imperial power does not go always without resistance on the part of the colonized people. Al Mahmud raises his voice against the evil practice of colonialism and imperialism wherever or whenever he finds them active. He shows this resistance both in national and international perspective. Through his poetics, he protests against the British imperialism in India, particularly in Bengal, and, though colonialism is over, he protests as he sees the imperialistic agents are active in his country to turn her again into a colony. He also protests against imperialistic aggression in different lands of the world like Afghanistan, Palestine etc. In his resistance to imperialism, ‘land’ becomes his main concern. Here in this article, I have explored those poems that present his strong protest against the occupation of land by colonialism as well as imperialism. © Australian International Academic Centre, Australia.

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