Browsing by Author "Karim, Rezaul"
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Item An Expert System to Detect Polycystic Ovary Syndrome under Uncertainty(Journal of Pharmacy and Biological Sciences (IOSR-JPBS), 2016-08) Khaliluzzaman, Md.; Islam, Shahedul; Karim, RezaulThis paper describes a prototype of clinical expert system for risk stratification of patients with polycystic ovary syndrome (PCOS). Polycystic ovary syndrome (PCOS) is the most common hormonal disorder among women of reproductive age. It is a heterogeneous disorder of uncertain causes. Since the symptoms of PCOS are seemingly unrelated to one another the condition is often overlooked and undiagnosed. The determination of accurate degree or intensity of PCOS signs is difficult for the physician. Hence, the accuracy of diagnostic process is difficult to achieve. The signs and symptoms of PCOS are usually expressed in qualitative and quantitative ways. Since the qualitative factors can not measured in a quantitative way, various types of uncertainties may occurs such as incompleteness, vagueness, and imprecision. For that, it is necessary to address the issue of uncertainty by using appropriate methodology. However, no existing system is able to address this issue of uncertainty. Therefore, this paper demonstrates the application of a novel method, named belief rule-based inference methodology -RIMER; this prototype can deal with uncertainties in both clinical domain knowledge and clinical data. This paper reports the development of a Belief Rule Based Expert System (BRBES) using RIMER approach, which is capable of detect the PCOS by taking account of signs and symptoms.Item Improving the Performance of Data Delivery in Wireless Sensor Networks(Journal of Telecommunications, 2011-05) Karim, Rezaul; Furhad, Hasan; Khaliluzzaman, Md.; Khandaker, Ariful IslamA wireless sensor network is a group of sensors that are geographically distributed and interconnected by wireless networks. Sen sors gather information about the state of physical world. Reliable data transfer is an important facet of dependability and quality of service (QoS) in WSNs. Supporting QoS will be of critical importance for pervasive WSNs that serve as the network infrastructure of diverse applica tions. This paper gives us idea about QoS concepts as well as how can we achieve better reliability in WSNs. Thus, we first review about WSNs as well as sensor nodes, analyze new QoS requirements in WSNs from a wide variety of applications classified by data delivery models and propose QoS in WSNs considering the packet to be small in size so that it can travel faster through the network by avoiding collision. In this way we can improve the Quality of Service in the network. Finally we presented our simulation by NS-2 (Network Simulator).Item A Low Complexity based Edge Color Matching Algorithm for Regular Bipartite Multigraph(International Journal of Advanced Computer Science and Applications (IJACSA), 2017) Karim, Rezaul; Islam, Rashedul; Rony, Muhammad Mahbub Hasan; Khaliluzzaman, Md.An edge coloring of a graph G is a process of assigning colors to the adjacent edges so that the adjacent edges represents the different colors. In this paper, an algorithm is proposed to find the perfect color matching of the regular bipartite multigraph with low time complexity. For that, the proposed algorithm is divided into two procedures. In the first procedure, the possible circuits and bad edges are extracted from the regular bipartite graph. In the second procedure, the bad edges are rearranged to obtain the perfect color matching. The depth first search (DFS) algorithm is used in this paper for traversing the bipartite vertices to find the closed path, open path, incomplete components, and bad edges. By the proposed algorithm, the proper edge coloring of D – regular bipartite multi-graph can be obtained in O (D.V) timeItem Study on Performance Analysis of HQAM for DCT and DWT Based Compressed Image Transmission over AWGN Channel(International Journal of Computer Science, 2017-05) Karim, Rezaul; Pervin, Shahela; Ima, Umme Moon; Khaliluzzaman, Md.Image transmission over a noisy channel is vital in the recent time because of reliable multimedia transmission. This topic has gained importance for the purpose of achieving less storage capacity and required bandwidth during transmitting the image through a noisy channel. In this paper, prior exertions of compressed image transmission are illustrated. These exertions are based on two compressed methods i.e., Discrete Wavelet transform (DWT) and Discrete Cosine Transform (DCT). Furthermore, overviews of the polar coding are presented which are used as encoder and decoder for converting the compressed quantized values to binary code streams. In addition, the overall advantages of the HQAM over the QAM modulation scheme are demonstrated in this paper. Finally, by exploring the preceding efforts, a method is proposed for future work. In the proposed method the performance of HQAM is analyzed for DWT and DCT after transmitting the image through the noisy AWGN channel.