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Md. Sazal Miah,Md. Atiqur Rahman,Zabid Ahmed,Yeonggwang Kim,Jinsul Kim 한국디지털콘텐츠학회 2020 The Journal of Contents Computing Vol.2 No.1
Satellite communication assumes a crucial job in the innovative advancement of a nation. Being the nation"s first communications satellite, Bangabandhu Satellite-1 (BS-1) is considered as an achievement for Bangladesh in the advanced Era. With the effective dispatch and situated in an orbit, this is a proper journey towards the space age for this developing nation that became freedom just 47 years ago. The main objective of this research is to study and compare to analyze the performance of different modulation techniques relevant to the Bangabandhu Satellite-1 communications system. The working principle and modulation techniques of Bangabandhu Satellite-1 as well as the advantages of this satellite in Bangladesh are illustrated here. The analysis and design of the elements of modern satellite communications systems are considered here. Firstly, we have introduced the concept of satellite communication along with its background and motivation. A discussion of the history of BS-1 and its coverage area, technical aspects, frequency bandwidth, services, advantages, and key features are included. Next, we have described different types of analog and digital modulation, highlighting the ones that are being used in BS-1. The performance of different modulation techniques is implemented and compared using MATLAB based simulation. Finally, we can come to the conclusion that modulation techniques used in BS-1 are well serving the purposes considering its performance and beneficial criteria as compared with others.
Biomedical Image Processing: Spine Tumor Detection from MRI image using MATLAB
Md. Abdullah Al Mahmud,AHM Zadidul Karim,Md. Sazal Miah,Yeonggwang Kim,Jinsul Kim,Shikder Shafiul Bashar 한국디지털콘텐츠학회 2020 The Journal of Contents Computing Vol.2 No.2
The main goal of this research is to the detection of spine tumors with the results provided by image processing of the patient’s MRI image. Especially, we focus on the methodology of image processing. We have also discussed the technique of detecting the fractional area of the spine tumor. A spine tumor is difficult to detect. For detecting tumors accurately Magnetic resonance imaging (MRI) is a common approach. It is a non-invasive technique for generating 3-dimensional topographic pictures of the human body. MRI is frequently utilized for the identification of various irregularities in soft tissues, for example, the Spine, lesions, and tumors. Nowadays clinical Image processing is the most difficult and arising field. It has already been mentioned that the main focus of this research is to develop a strategy to identify and extraction of Spine tumors from a patient"s MRI im-ages of the Spine. This technique incorporates segmentation and morphological operations and various noise reduction function which are the fundamental ideas of image processing. Our proposed method will take input from MRI images. Input image will convert to a grayscale image, then it will be adjusted based on the maximum intensity level, for avoiding extra data. For identifying the range of the spine cross-section images will be converted to binary data. It will also calculate the area of the spine cross-section. Then adjusted image will be converting to a binary im-age in order to eliminate the boundary and detect tumor affected area. Finally, we calculate the volume of the tumor with the help of MATLAB software.
AHM Zadidul Karim,Md Abdullah Al Mahmud,Md Sazal Miah,Shikder Shafiul Bashar,Seungmin Oh,Jinsul Kim,Maliha Marium 한국디지털콘텐츠학회 2020 The Journal of Contents Computing Vol.2 No.2
Photoplethesmography (PPG) is a low cost, non-invasive heart Rate (HR) monitoring process. It contains important health information. So, based on these characteristics this paper has taken step to go with it. PPG signal recorded very easily from the surface of the skin by using wearable device. So, during exercise PPG signal is corrupted heavily by Motion Artifact (MA). The interest of this paper is to work on removing the MA and reconstruction of clean PPG signal. This paper has worked on two stages. One is the tracking of PPG signal and detection of the peak of ECG signal.