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Enhancing security of SIC algorithm on non-orthogonal multiple access (NOMA) based systems
Satrya, G.B.,Shin, S.Y. Elsevier 2019 Physical communication Vol.33 No.-
<P><B>Abstract</B></P> <P>Non-orthogonal multiple access (NOMA) is a promising candidate among potential nominees for future radio access. NOMA adopts the principle of successive interference cancellation (SIC) algorithm at the receiver’s side to segregate user’s information. However, during SIC process, information of the user(s) with weaker channel gain is extracted by user(s) with stronger channel gain. It can raise major security concerns, e.g. session hijacking, eavesdropping, identity theft, and others, for users with weaker channel gains. Therefore, this research aims to analyze and verify a secure SIC algorithm for NOMA based systems. This research proposes and demonstrates the SIC scheme to enhance security on the user’s side by making use of MAC address and IMEI that are devoted to a smartphone as distinctive keys. This research shown that the proposed scheme can improve security in terms of confidentiality time and secrecy capacity.</P>
Detection of small colon bleeding in wireless capsule endoscopy videos
Usman, Muhammad Arslan,Satrya, G.B.,Usman, Muhammad Rehan,Shin, Soo Young Elsevier 2016 Computerized medical imaging and graphics Vol.54 No.-
<P><B>Abstract</B></P> <P>In the recent years, wireless capsule endoscopy (WCE) technology has played a very important role in diagnosing diseases within the gastro intestinal (GI) tract of human beings. The WCE device captures images of the GI tract of patient with a certain frame rate. Physicians examine these images in order to find abnormalities in the GI tract. This examination process is very time consuming and hectic for the physician as a WCE device captures around 60,000 images on the average. At present, there are no standards defined for the WCE image classification. Computer aided methods help reducing the burden on the physicians by automatically detecting the abnormalities in the GI tract such as small colon bleeding. In this paper, a pixel based approach to detect bleeding regions in the WCE videos by using a support vector classifier is proposed. Threshold analysis in HSV color space is performed to compute the features for training an optimal support vector machine. The HSV features of the WCE images are fed to the trained support vector classifier for classification. Also, our method includes image enhancement and edge removal in WCE images, which is done prior to classification, for robust results. The method offers high sensitivity, specificity and accuracy in terms of correctly classifying images that contain bleeding regions as compared to another contemporary method. A detailed experimental analysis is also provided for the purpose of method evaluation.</P> <P><B>Highlights</B></P> <P> <UL> <LI> This paper presents a pixel based bleeding detection method in wireless capsule endoscopy (WCE) videos using support vector machine. </LI> <LI> The feature extraction for training the support vector machine is done by using threshold analysis in HSV color space. </LI> <LI> Edge removal and image enhancement methods are applied for minimizing the effect of edge regions in WCE videos prior to classification. </LI> </UL> </P>
Design of Smart LED Streetlight System for Smart City With Web-Based Management System
Daely, Philip Tobianto,Reda, Haftu Tasew,Satrya, Gandeva Bayu,Kim, Jin Woo,Shin, Soo Young IEEE 2017 IEEE SENSORS JOURNAL Vol.17 No.18
<P>Smart LED streetlight system is one of the enabling technologies for a smart city, giving low-cost, low power outdoor lighting also with benefits for vehicle users as well as pedestrians. Integration of sensors and ZigBee-based wireless sensor modules can furnish an optimal platform for an innovative LED streetlight application. Psychological studies suggest that a different level of color temperature can significantly affect human circadian rhythm. For this reason, correlated color temperature (CCT)-based illumination gives a significant lighting performance both in terms of energy efficiency and in overcoming traffic accidents in low visibility areas. Previous works usually assume only specific platform and did not consider CCT-based illumination toward smart LED streetlight system. In this paper, we consider the importance of CCT-based illumination and propose a novel integration of public weather data awareness, ZigBee-based wireless communication, and dynamic web-based management system for the state-of-art of smart LED streetlight system applicable to smart city. In particular, we design a central web server that can receive weather information and real-time sensor data from each LED streetlights and provides a dynamic and flexible web interface for authorized users. Furthermore, real-time implementation of the proposed system shows perfect transmission-reception parameters, such as throughput and signal strength among the different LED streetlights, which fulfills the wireless communication range and signal quality between each LED streetlights.</P>