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6G cellular networks bring about proactive communications with predictive decision making by incorporating artificial intelligence (AI) and machine learning (ML) in vehicular networks, towards envision of the Internet of Vehicles (IoV). Currently, vehicular communications suffer from unreliable communication links due to multi-hop ad-hoc communications and high mobility environment. The available literature falls short in providing a reliable routing scheme that proactively and accurately estimates or predicts connectivity duration between two vehicles. In this study, we highlight the need for communication route compatibility (connectivity duration) as a route selection parameter along with trustworthiness. We propose an ML and analytical compatibility-based ad-hoc routing protocol that allows a vehicle to estimate or predict the compatibility time of all candidate routes, to choose the best route. We evaluated one analytical and five ML classification techniques on our OpenStreemMap (OSM) and SUMO mobility trace generated dataset (Seoul and Berlin). Our exhaustive simulation demonstrated that our proposed scheme (six variations) dismisses all short-lived routes and achieves 2˜3 times higher packet delivery ratio in comparison to existing hop count-based routing (AOMDV and TCSR). The proposed scheme disregards paths having few intermediate nodes for long-lasting paths with the expenses of a few extra hops. We also present a comprehensive comparative study to evaluate ML techniques based on well-known metrics such as accuracy, time, misclassification, F1-score, etc.
Farooque Hassan Kumbhar; Soo Young Shin. Novel Vehicular Compatibility based Ad-hoc Message Routing Scheme in the Internet of Vehicles using Machine Learning. IEEE Internet of Things Journal 2021, PP, 1 -1.
AMA StyleFarooque Hassan Kumbhar, Soo Young Shin. Novel Vehicular Compatibility based Ad-hoc Message Routing Scheme in the Internet of Vehicles using Machine Learning. IEEE Internet of Things Journal. 2021; PP (99):1-1.
Chicago/Turabian StyleFarooque Hassan Kumbhar; Soo Young Shin. 2021. "Novel Vehicular Compatibility based Ad-hoc Message Routing Scheme in the Internet of Vehicles using Machine Learning." IEEE Internet of Things Journal PP, no. 99: 1-1.
Spectral efficiency is a major concern for future 6G wireless communication systems. Thus, an appropriate scheme is needed to provide channel capacity improvement for multiple transmitters and receiver-based wireless communication systems without consuming extra resource for communication (e.g., frequency/time/code) or causing interference. Therefore, to fulfill the mentioned requirements for the future 6G wireless network, orbital angular momentum-based multiple-input-multiple-output (OAM-MIMO) multiplexing technique is incorporated with the receive antenna shift keying (RASK) technique in this study (termed as the OAM-MIMO-RASK scheme). OAM-MIMO-RASK can transfer multiple symbols from multiple transmitters to different receivers simultaneously by using multiple subchannels using the OAM and RASK techniques without any interference or additional resource (frequency/time/code). The numerical results illustrated that the proposed OAM-MIMO-RASK can achieve almost double capacity than the existing OAM-MIMO scheme and significantly higher capacity than the existing RASK-based scheme for different values of signal-to-noise ratio. Moreover, the simulation result is validated by the theoretical result which is also shown by the numerical result. In addition, due to different normalized distances from the transmitters and receivers, the proposed OAM-MIMO-RASK scheme can achieve almost double capacity than the existing OAM-MIMO scheme by using OAM-MIMO and RASK technique effectively which is also depicted by the numerical results.
Sang-Hoon Lee; Ahmed Al Amin; Soo-Young Shin. Orbital Angular Momentum-Based Multiple-Input-Multiple- Output with Receive Antenna Shift Keying for 6G. Electronics 2021, 10, 1567 .
AMA StyleSang-Hoon Lee, Ahmed Al Amin, Soo-Young Shin. Orbital Angular Momentum-Based Multiple-Input-Multiple- Output with Receive Antenna Shift Keying for 6G. Electronics. 2021; 10 (13):1567.
Chicago/Turabian StyleSang-Hoon Lee; Ahmed Al Amin; Soo-Young Shin. 2021. "Orbital Angular Momentum-Based Multiple-Input-Multiple- Output with Receive Antenna Shift Keying for 6G." Electronics 10, no. 13: 1567.
Colonic polyps detection remains an unsolved issue because of the wide variation in the appearance, texture, color, size, and appearance of the multiple polyp-like imitators during the colonoscopy process. In this paper, a deep convolutional neural network (CNN) based model for the computerized detection of polyps within colonoscopy images is proposed. The proposed deep CNN model employs a unique way of adopting different convolutional kernels having different window sizes within the same hidden layer for deeper feature extraction. A lightweight model comprising 16 convolutional layers with 2 fully connected layers (FCN), and a Softmax layer as output layer is implemented. For achieving a deeper propagation of information, self-regularized smooth non-monotonicity, and to avoid saturation during training, MISH as an activation function is used in the first 15 layers followed by the rectified linear unit activation (ReLU) function. Moreover, a generalized intersection of the union (GIoU) approach is employed, overcoming issues such as scale invariance, rotation, and shape encountering with IoU. Data augmentation techniques such as photometric and geometric distortions are employed to overcome the scarcity of the data set of the colonic polyp. Detailed experimental results are provided that are bench-marked with the MICCAI 2015 challenge and other publicly available data set reflecting better performance in terms of precision, sensitivity, F1-score, F2-score, and Dice-coefficient, thus proving the efficacy of the proposed model.
Tariq Rahim; Syed Ali Hassan; Soo Young Shin. A deep convolutional neural network for the detection of polyps in colonoscopy images. Biomedical Signal Processing and Control 2021, 68, 102654 .
AMA StyleTariq Rahim, Syed Ali Hassan, Soo Young Shin. A deep convolutional neural network for the detection of polyps in colonoscopy images. Biomedical Signal Processing and Control. 2021; 68 ():102654.
Chicago/Turabian StyleTariq Rahim; Syed Ali Hassan; Soo Young Shin. 2021. "A deep convolutional neural network for the detection of polyps in colonoscopy images." Biomedical Signal Processing and Control 68, no. : 102654.
In medical imaging and applications, efficient image sampling and transfer are some of the key fields of research. The compressed sensing (CS) theory has shown that such compression can be performed during the data retrieval process and that the uncompressed image can be retrieved using a computationally flexible optimization method. The objective of this study is to propose compressed medical imaging for a different type of medical images, based on the combination of the average sparsity model and reweighted analysis of multiple basis pursuit (M-BP) reconstruction methods, referred to as multiple basis reweighted analysis (M-BRA). The proposed algorithm includes the joint multiple sparsity averaging to improves the signal sparsity in M-BP. In this study, four types of medical images are opted to fill the gap of lacking a detailed analysis of M-BRA in medical images. The medical dataset consists of magnetic resonance imaging (MRI) data, computed tomography (CT) data, colonoscopy data, and endoscopy data. Employing the proposed approach, a signal-to-noise ratio (SNR) of 30 dB was achieved for MRI data on a sampling ratio of M/N=0.3. SNR of 34, 30, and 34 dB are corresponding to CT, colonoscopy, and endoscopy data on the same sampling ratio of M/N=0.15. The proposed M-BRA performance indicates the potential for compressed medical imaging analysis with high reconstruction image quality.
Tariq Rahim; Ledya Novamizanti; I. Nyoman Apraz Ramatryana; Soo Young Shin. Compressed medical imaging based on average sparsity model and reweighted analysis of multiple basis pursuit. Computerized Medical Imaging and Graphics 2021, 90, 101927 .
AMA StyleTariq Rahim, Ledya Novamizanti, I. Nyoman Apraz Ramatryana, Soo Young Shin. Compressed medical imaging based on average sparsity model and reweighted analysis of multiple basis pursuit. Computerized Medical Imaging and Graphics. 2021; 90 ():101927.
Chicago/Turabian StyleTariq Rahim; Ledya Novamizanti; I. Nyoman Apraz Ramatryana; Soo Young Shin. 2021. "Compressed medical imaging based on average sparsity model and reweighted analysis of multiple basis pursuit." Computerized Medical Imaging and Graphics 90, no. : 101927.
A cooperative non-orthogonal multiple access (CNOMA) system and an orbital angular momentum (OAM) -based multiple-input multiple-output multiplexing system is proposed as full-duplex relaying (referred to as CNOMF) by the cell center user to the cell edge user in this letter. The proposed CNOMF scheme can significantly improve the capacity of cell edge user and sum channel capacity via user-assisted decode and forward based full-duplex relaying by utilizing different ranges of OAM modes for a 6G (Sixth generation) wireless communication system, compared to other existing schemes (For example, CNOMA-MIMO with FDR, and orthogonal multiple access with OAM-MIMO and half duplex relaying); this was demonstrated via numerical result analysis.
Ahmed Al Amin; Soo Young Shin. Capacity Analysis of Cooperative NOMA-OAM-MIMO Based Full-Duplex Relaying for 6G. IEEE Wireless Communications Letters 2021, 10, 1395 -1399.
AMA StyleAhmed Al Amin, Soo Young Shin. Capacity Analysis of Cooperative NOMA-OAM-MIMO Based Full-Duplex Relaying for 6G. IEEE Wireless Communications Letters. 2021; 10 (7):1395-1399.
Chicago/Turabian StyleAhmed Al Amin; Soo Young Shin. 2021. "Capacity Analysis of Cooperative NOMA-OAM-MIMO Based Full-Duplex Relaying for 6G." IEEE Wireless Communications Letters 10, no. 7: 1395-1399.
In heterogeneous networks (HetNets), non-orthogonal multiple access (NOMA) has recently been proposed for hybrid-access small-cells, promising a manifold network capacity compared to OMA. One of the major issues with the installation of a hybrid-access mechanism in small-cells is the cross-tier interference (intercell interference (ICI)) caused by the macrocell users (MUs) that are unable to establish a connection to the small-cell base station (SBS). In this paper, a joint strategy is proposed for hybrid-access small-cells using the Walsh–Hadamard transform (WHT) with NOMA and interference rejection combining (IRC) to achieve high performance gains and mitigate intercell interference (ICI), respectively. WHT is applied mathematically as an orthogonal variable spreading factor (OVSF) to achieve diversity in communication systems. When applied jointly with NOMA, it ensures better performance gains than the conventional NOMA. It reduces the bit error rate (BER) and enhances subsequent throughput performance of the system. IRC is used at the receiver side for managing the cross-tier interference caused by MUs that are unable to connect to the small-cell base station (SBS) for hybrid-access. The work considers both ideal and nonideal successive interference cancellation (SIC) conditions for NOMA. Mathematical modeling is provided for the proposed joint strategy for HetNets and the results validate it in terms of BER and subsequent user throughput performance, compared to the conventional NOMA approach.
M. Usman; M. Usman; Soo Shin; Gandeva Satrya; Rizwan Naqvi; Maria Martini; Christos Politis. Walsh–Hadamard Transform based Non–orthogonal Multiple Access (NOMA) and Interference Rejection Combining in Next-Generation HetNets. Mathematics 2021, 9, 348 .
AMA StyleM. Usman, M. Usman, Soo Shin, Gandeva Satrya, Rizwan Naqvi, Maria Martini, Christos Politis. Walsh–Hadamard Transform based Non–orthogonal Multiple Access (NOMA) and Interference Rejection Combining in Next-Generation HetNets. Mathematics. 2021; 9 (4):348.
Chicago/Turabian StyleM. Usman; M. Usman; Soo Shin; Gandeva Satrya; Rizwan Naqvi; Maria Martini; Christos Politis. 2021. "Walsh–Hadamard Transform based Non–orthogonal Multiple Access (NOMA) and Interference Rejection Combining in Next-Generation HetNets." Mathematics 9, no. 4: 348.
Won Jae Ryu; Soo Young Shin. Performance evaluation of a power allocation algorithm based on dynamic blocklength estimation for URLLC in the multicarrier downlink NOMA systems. TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES 2021, 29, 310 -320.
AMA StyleWon Jae Ryu, Soo Young Shin. Performance evaluation of a power allocation algorithm based on dynamic blocklength estimation for URLLC in the multicarrier downlink NOMA systems. TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES. 2021; 29 (1):310-320.
Chicago/Turabian StyleWon Jae Ryu; Soo Young Shin. 2021. "Performance evaluation of a power allocation algorithm based on dynamic blocklength estimation for URLLC in the multicarrier downlink NOMA systems." TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES 29, no. 1: 310-320.
This paper presents an augmented reality (AR)-based game for childhood education. The developed AR game teaches children by giving them tasks and providing guidance to complete them on time. The developed model discussed in the paper is focusing on the kids for their learning and memorizing tasks easier and timely. The game allows children to interact with computer-generated cars, buildings, and other 3D objects in an image target. The main goal of proposed AR game combines learning with enjoyment to help children understand basic places names like parking areas, how to spell them, drive a car with a mobile joystick to reach a place on time, and to see that place in the real world. It is expected that such an interactive project will significantly improve learning in children.
Syed Ali Hassan; Tariq Rahim; Soo Young Shin. ChildAR: an augmented reality-based interactive game for assisting children in their education. Universal Access in the Information Society 2021, 1 -12.
AMA StyleSyed Ali Hassan, Tariq Rahim, Soo Young Shin. ChildAR: an augmented reality-based interactive game for assisting children in their education. Universal Access in the Information Society. 2021; ():1-12.
Chicago/Turabian StyleSyed Ali Hassan; Tariq Rahim; Soo Young Shin. 2021. "ChildAR: an augmented reality-based interactive game for assisting children in their education." Universal Access in the Information Society , no. : 1-12.
In this study, non-orthogonal multiple access (NOMA) is integrated with orbital angular momentum (OAM)-based multiple-input multiple-output (MIMO), denoted as OAM-MIMO, and OAM with index modulation, denoted as OAM-IM, to improve its downlink channel capacities for multiple users. The user and sum channel capacities are evaluated and compared with those of existing schemes such as NOMA with OAM-MIMO, conventional NOMA with MIMO, and conventional orthogonal multiple access with OAM-IM. The simulation results show that the proposed scheme outperforms the conventional schemes in terms of both individual user and sum channel capacities.
Ahmed Al Amin; Soo Young Shin. Capacity Enhancement of NOMA-MIMO With OAM-IM. IEEE Wireless Communications Letters 2021, 10, 924 -928.
AMA StyleAhmed Al Amin, Soo Young Shin. Capacity Enhancement of NOMA-MIMO With OAM-IM. IEEE Wireless Communications Letters. 2021; 10 (5):924-928.
Chicago/Turabian StyleAhmed Al Amin; Soo Young Shin. 2021. "Capacity Enhancement of NOMA-MIMO With OAM-IM." IEEE Wireless Communications Letters 10, no. 5: 924-928.
Communications and routing protocols for vehicular ad-hoc networks (VANETs) are affected by dynamic vehicular constraints like high mobility, efficient delivery, reliable path, and trustworthiness. We propose a novel “VAR²” scheme that enables autonomous trust and selects routes with the longest connectivity time to efficiently deliver messages. In multi-hop and multi-path VANETs, the proposed scheme ensures reliability by selecting compatible and trustworthy routes with minimum additional communications. Our Python simulations on sparse and dense SUMO traffic traces show that the proposed VAR² routes have 100 ~ 400s connectivity with only 3 ~ 4 hops and achieve 6 ~ 15% PDR, which are comparatively more efficient results than that of existing schemes.
Farooque Hassan Kumbhar; Soo Young Shin. VAR²: Novel Vehicular Ad-hoc Reliable Routing Approach for Compatible and Trustworthy Paradigm. IEEE Communications Letters 2020, PP, 1 -1.
AMA StyleFarooque Hassan Kumbhar, Soo Young Shin. VAR²: Novel Vehicular Ad-hoc Reliable Routing Approach for Compatible and Trustworthy Paradigm. IEEE Communications Letters. 2020; PP (99):1-1.
Chicago/Turabian StyleFarooque Hassan Kumbhar; Soo Young Shin. 2020. "VAR²: Novel Vehicular Ad-hoc Reliable Routing Approach for Compatible and Trustworthy Paradigm." IEEE Communications Letters PP, no. 99: 1-1.
Reliable routing and efficient message delivery in vehicular ad-hoc networks (VANETs) is a significant challenge owing to underlying environment constraints, such as dynamic nature, mobility, and limited connectivity. With the increasing number of machine learning (ML) applications in wireless networks, VANETs can benefit from these data-driven predictions. In this study, we innovate and investigate ML-based classifications in VANETs to predict the most suitable path with the longest compatibility time and trust using a fog node based VANET architecture. The proposed scheme in SUMO VANET traces achieves up to a 16% packet delivery ratio (PDR) with a 99% accuracy and longer connectivity with only 3~4 hops, compared with existing AOMDV and TCSR solutions with merely a 4% PDR.
Farooque Hassan Kumbhar; Soo Young Shin. DT-VAR: Decision Tree Predicted Compatibility-Based Vehicular Ad-Hoc Reliable Routing. IEEE Wireless Communications Letters 2020, 10, 87 -91.
AMA StyleFarooque Hassan Kumbhar, Soo Young Shin. DT-VAR: Decision Tree Predicted Compatibility-Based Vehicular Ad-Hoc Reliable Routing. IEEE Wireless Communications Letters. 2020; 10 (1):87-91.
Chicago/Turabian StyleFarooque Hassan Kumbhar; Soo Young Shin. 2020. "DT-VAR: Decision Tree Predicted Compatibility-Based Vehicular Ad-Hoc Reliable Routing." IEEE Wireless Communications Letters 10, no. 1: 87-91.
Wireless capsule endoscopy (WCE) is a process in which a patient swallows a camera-embedded pill-shaped device that passes through the gastrointestinal (GI) tract, captures and transmits images to an external receiver. WCE devices are considered as a replacement of conventional endoscopy methods which are usually painful and distressful for the patients. WCE devices produce over 60,000 images typically during their course of operation inside the GI tract. These images need to be examined by expert physicians who attempt to identify frames that contain inflammation / disease. It can be hectic for a physician to go through such a large number of frames, hence computer-aided detection methods are considered an efficient alternative. Various anomalies can take place in the GI tract of a human being but the most important and common ones and the aim of this survey are ulcers, polyps, and tumors. In this paper, we have presented a survey of contemporary computer-aided detection methods that take WCE images as input and classify those images in a diseased/abnormal or disease-free/ normal image. We have considered methods that detect tumors, polyps and ulcers, as these three diseases lie in the same category. Furthermore, general abnormalities and bleeding inside the GI tract may be the symptoms of these diseases; so an attempt is also made to enlighten the research work done for abnormalities and bleeding detection inside WCE images. Several studies have been included with in-depth detail of their methodologies, findings, and conclusions. Also, we have attempted to classify these methods based on their technical aspects. A formal discussion and comparison of recent review articles are also provided to have a benchmark for the presented survey mentioning their limitations. This paper also includes a proposed classification approach where a cascade approach of neural networks is presented for the classification of tumor, polyp, and ulcer jointly along with data set specifications and results.
Tariq Rahim; Muhammad Arslan Usman; Soo Young Shin. A survey on contemporary computer-aided tumor, polyp, and ulcer detection methods in wireless capsule endoscopy imaging. Computerized Medical Imaging and Graphics 2020, 85, 101767 .
AMA StyleTariq Rahim, Muhammad Arslan Usman, Soo Young Shin. A survey on contemporary computer-aided tumor, polyp, and ulcer detection methods in wireless capsule endoscopy imaging. Computerized Medical Imaging and Graphics. 2020; 85 ():101767.
Chicago/Turabian StyleTariq Rahim; Muhammad Arslan Usman; Soo Young Shin. 2020. "A survey on contemporary computer-aided tumor, polyp, and ulcer detection methods in wireless capsule endoscopy imaging." Computerized Medical Imaging and Graphics 85, no. : 101767.
In this paper, role switching and power allocation schemes are proposed to tackle user mobility in non-orthogonal multiple access (NOMA) systems. A downlink transmission scenario is considered, where two highly mobile users, a cell center user and a cell edge user, are paired/served over the same channel resource using NOMA. In such high mobility scenarios, when these users come very close to, or even cross, each other, their channel gains may become similar or even violate the initial channel ordering when they were paired. This article refers to such condition as NOMA principle violation problem (NPVP). To solve this NPVP, optimized power role switching-NOMA (OPRS-NOMA) technique is proposed. Role switching technique is used to switch the roles of mobile users on the basis of their dynamic channel ordering. Furthermore, a power allocation scheme based on bisection search power optimization is presented to maximize the average sum capacity of mobile NOMA users. Random way point mobility model is considered for user mobility , where individual and sum capacity are used for performance evaluation. Simulation results show that OPRS-NOMA outperforms the conventional NOMA and orthogonal multiple access schemes.
Irfan Azama; Muhammad Basit Shahab; Soo Young Shin. Role switching and power allocation technique for mobile users in non-orthogonal multiple access. Physical Communication 2020, 43, 101179 .
AMA StyleIrfan Azama, Muhammad Basit Shahab, Soo Young Shin. Role switching and power allocation technique for mobile users in non-orthogonal multiple access. Physical Communication. 2020; 43 ():101179.
Chicago/Turabian StyleIrfan Azama; Muhammad Basit Shahab; Soo Young Shin. 2020. "Role switching and power allocation technique for mobile users in non-orthogonal multiple access." Physical Communication 43, no. : 101179.
In this study, improved time switching (ITS) simultaneous wireless information and power transfer (SWIPT‐ITS) protocol along with cooperative nonorthogonal multiple access (CNOMA) downlink (DL) transmission are integrated (termed as CNOMA‐SWIPT‐ITS) for DL transmission. CNOMA‐SWIPT‐ITS scheme transfers information to the users and performs energy harvesting (EH) for relay operation from cell center user (CCU) to cell edge user (CEU). Furthermore, the scheme transfers different symbols using the time duration of EH at the CCU and performs cooperative relaying (CCU to CEU) to enhance the channel capacity of the users. The performance of CNOMA‐SWIPT‐ITS scheme is measured in terms of ergodic sum capacity and outage probabilities. Finally, simulation and analytical results demonstrate the superiority of the proposed scheme over conventional CNOMA based SWIPT schemes and typical orthogonal multiple access based ITS SWIPT scheme.
Ahmed Al Amin; Soo Young Shin. Performance analysis of cooperative nonorthogonal multiple access with improved time switching simultaneous wireless information and power transfer protocol. Transactions on Emerging Telecommunications Technologies 2020, 31, 1 .
AMA StyleAhmed Al Amin, Soo Young Shin. Performance analysis of cooperative nonorthogonal multiple access with improved time switching simultaneous wireless information and power transfer protocol. Transactions on Emerging Telecommunications Technologies. 2020; 31 (11):1.
Chicago/Turabian StyleAhmed Al Amin; Soo Young Shin. 2020. "Performance analysis of cooperative nonorthogonal multiple access with improved time switching simultaneous wireless information and power transfer protocol." Transactions on Emerging Telecommunications Technologies 31, no. 11: 1.
In this paper, the impact of imperfect channel state information (CSI) on a downlink coordinated multipoint (CoMP) transmission system with non‐orthogonal multiple access (NOMA) is investigated since perfect knowledge of a channel cannot be guaranteed in practice. Furthermore, the channel estimation error is applied to estimate the channel information wherein its a priori of variance is assumed to be known. The impact of the number of coordinated base stations (BSs) on downlink CoMP NOMA is investigated. Users are classified into one of two groups according to their position within the cell, namely, cell‐center user (CCU) and cell‐edge user (CEU). In this paper, ergodic capacity and sum capacity for both CCU and CEU are derived as closed forms. In addition, various experiments are conducted with different parameters such as SNR, error variance, and power allocation to show their impact on the CoMP method. The results show that CoMP NOMA outperforms the CoMP orthogonal multiple access (OMA) wherein the condition of the channel impacts the performance of CoMP NOMA less. It is worth noting that a higher number of coordinated BSs enhances the total capacity of CoMP NOMA. Finally, the performance analysis is validated due to the close accordance between the analytical and simulation results.
Fahri Wisnu Murti; Rahmat Faddli Siregar; Muhammad Royyan; Soo Young Shin. Exploiting non-orthogonal multiple access in downlink coordinated multipoint transmission with the presence of imperfect channel state information. International Journal of Communication Systems 2020, 33, e4533 .
AMA StyleFahri Wisnu Murti, Rahmat Faddli Siregar, Muhammad Royyan, Soo Young Shin. Exploiting non-orthogonal multiple access in downlink coordinated multipoint transmission with the presence of imperfect channel state information. International Journal of Communication Systems. 2020; 33 (14):e4533.
Chicago/Turabian StyleFahri Wisnu Murti; Rahmat Faddli Siregar; Muhammad Royyan; Soo Young Shin. 2020. "Exploiting non-orthogonal multiple access in downlink coordinated multipoint transmission with the presence of imperfect channel state information." International Journal of Communication Systems 33, no. 14: e4533.
To stay up to date with world issues and cutting-edge technologies, the newspaper plays a crucial role. However, collecting news is not a very easy task. Currently, news publishers are collecting news from their correspondents through social networks, email, phone call, fax, etc. and sometimes they buy news from the agencies. However, the existing news sharing networks may not provide security for data integrity and any third party may obstruct the regular flow of news sharing. Moreover, the existing news schemes are very vulnerable in case of disclosing the identity. Therefore, a universal platform is needed in the era of globalization where anyone can share and trade news from anywhere in the world securely, without the interference of third-party, and without disclosing the identity of an individual. Recently, blockchain has gained popularity because of its security mechanism over data, identity, etc. Blockchain enables a distributed way of managing transactions where each participant of the network holds the same copy of the transactions. Therefore, with the help of pseudonymity, fault-tolerance, immutability, and the distributed structure of blockchain, a scheme (termed as NEWSTRADCOIN) is presented in this paper in which not only news can be shared securely but also anyone can earn money by selling news. The proposed NEWSTRADCOIN can provide a universal platform where publishers can directly collect news from news-gatherers in a secure way by maintaining data integrity, without experiencing the interference of a third-party, and without disclosing the identity of the news gatherer and publishers.
Anik Islam; Fazlul Kader; Mofijul Islam; Soo Young Shin. NEWSTRADCOIN: A Blockchain Based Privacy Preserving Secure NEWS Trading Network. Blockchain Technology for IoT Applications 2020, 21 -32.
AMA StyleAnik Islam, Fazlul Kader, Mofijul Islam, Soo Young Shin. NEWSTRADCOIN: A Blockchain Based Privacy Preserving Secure NEWS Trading Network. Blockchain Technology for IoT Applications. 2020; ():21-32.
Chicago/Turabian StyleAnik Islam; Fazlul Kader; Mofijul Islam; Soo Young Shin. 2020. "NEWSTRADCOIN: A Blockchain Based Privacy Preserving Secure NEWS Trading Network." Blockchain Technology for IoT Applications , no. : 21-32.
In this study, an orbital angular momentum-based multiple-input multiple-output (OAM-MIMO) multiplexing system is integrated with non-orthogonal multiple access (NOMA) to enhance the user and sum channel capacities of the downlink NOMA for multiple users. The user and sum capacities of the proposed NOMA-OAM-MIMO scheme is analyzed and compared with other conventional schemes such as conventional NOMA with MIMO, and conventional orthogonal multiple access with OAM-MIMO multiplexing.
Ahmed Al Amin; Soo Young Shin. Channel Capacity Analysis of Non-Orthogonal Multiple Access With OAM-MIMO System. IEEE Wireless Communications Letters 2020, 9, 1481 -1485.
AMA StyleAhmed Al Amin, Soo Young Shin. Channel Capacity Analysis of Non-Orthogonal Multiple Access With OAM-MIMO System. IEEE Wireless Communications Letters. 2020; 9 (9):1481-1485.
Chicago/Turabian StyleAhmed Al Amin; Soo Young Shin. 2020. "Channel Capacity Analysis of Non-Orthogonal Multiple Access With OAM-MIMO System." IEEE Wireless Communications Letters 9, no. 9: 1481-1485.
This paper introduces a blockchain-based secure healthcare scheme in which health data (HD) are collected from users via an unmanned aerial vehicle (UAV) and stored on the nearest server. In the proposed scheme, a UAV first establishes a relation with body sensor hives (BSHs) via a token and then shares a shared key with BSHs to enable low-power secure communication. After retrieving the HD, the UAV decrypts the encrypted HD (encrypted by a BSH) using the shared key and exercises a two-phase authentication mechanism. Upon successful validation, the UAV transmits the HD to the nearest server to store it securely in blockchain. A security analysis is discussed to show the feasibility of the proposed secure healthcare scheme. Finally, the performance of the proposed scheme is investigated through simulation and implementation. The security and the performance analysis demonstrate that the proposed scheme supports better assistance to BSHs while maintaining security.
Anik Islam; Soo Young Shin. A blockchain-based secure healthcare scheme with the assistance of unmanned aerial vehicle in Internet of Things. Computers & Electrical Engineering 2020, 84, 106627 .
AMA StyleAnik Islam, Soo Young Shin. A blockchain-based secure healthcare scheme with the assistance of unmanned aerial vehicle in Internet of Things. Computers & Electrical Engineering. 2020; 84 ():106627.
Chicago/Turabian StyleAnik Islam; Soo Young Shin. 2020. "A blockchain-based secure healthcare scheme with the assistance of unmanned aerial vehicle in Internet of Things." Computers & Electrical Engineering 84, no. : 106627.
Digital watermarking has various applications in which it plays an important role; these include document security and multimedia vendor copyrights. This paper presents an efficient watermarking technique called ‘modified selective embedding in low frequency’ (M-SELF) implementing a Fast Fourier Transform (FFT) for frequency domain analysis where FFT shift brings down lower-frequency components to the center of the cover image. Embedding of the watermark is done by optimal radial implementation after coordinates computation via phase and magnitude separation. Furthermore, the watermark is protected by the convolutional code (1/2) and Advanced Encryption Standard (AES-128) algorithm providing a double layer of security. Moreover, the exploitation of de-noising convolutional neural networks (DnCNNs) is another contribution of the proposed work. The network is utilized as a de-noiser in an integrated manner for the proposed watermarking technique on blind level of additive white Gaussian noise (AWGN) to check the robustness of the technique. Performance evaluation of the proposed integrated watermarking technique is done in terms of percentage of bits being retrieved as a success rate at each level of noise and perceived visual quality by using full-reference image quality assessment (IQA) metrics such as peak signal-to-noise ratio (PSNR) and structural similarity index (SSIM).
Tariq Rahim; Saud Khan; Muhammad Arslan Usman; Soo Young Shin. Exploiting De-Noising Convolutional Neural Networks DnCNNs for an Efficient Watermarking Scheme: A Case for Information Retrieval. IETE Technical Review 2020, 1 -11.
AMA StyleTariq Rahim, Saud Khan, Muhammad Arslan Usman, Soo Young Shin. Exploiting De-Noising Convolutional Neural Networks DnCNNs for an Efficient Watermarking Scheme: A Case for Information Retrieval. IETE Technical Review. 2020; ():1-11.
Chicago/Turabian StyleTariq Rahim; Saud Khan; Muhammad Arslan Usman; Soo Young Shin. 2020. "Exploiting De-Noising Convolutional Neural Networks DnCNNs for an Efficient Watermarking Scheme: A Case for Information Retrieval." IETE Technical Review , no. : 1-11.
The industrial wireless sensor domain has undergone a shift in paradigm as a consequence of Internet of Things (IoT), a thriving technology that has been leading the way in short-range and fixed wireless sensing. One of the problems associated with industrial wireless sensor networks (IWSNs) is finding the optimal solution for minimizing defect time in superframe scheduling. This paper proposed a method based on the use of evolutionary algorithms, namely particle swarm optimization (PSO), orthogonal learning PSO, genetic algorithm (GA), and modified GA for optimizing the superframe scheduling. Additionally, we evaluated a contemporary method, deadline monotonic scheduling, on the ISA 100.11a protocol. The use of this standard as a case study means that the presented 72 simulations are object-oriented, with numerous variations in the number of timeslots and wireless sensor nodes. The simulation results show that the use of GA and modified GA can improve the performance in terms of idle, missed deadlines, memory consumption, and processing time comparing to other metaheuristic algorithms. A comprehensive analysis and detailed performance evaluation are provided in the paper.
Gandeva Bayu Satrya; Soo Young Shin. Evolutionary computing approach to optimize superframe scheduling on industrial wireless sensor networks. Journal of King Saud University - Computer and Information Sciences 2020, 1 .
AMA StyleGandeva Bayu Satrya, Soo Young Shin. Evolutionary computing approach to optimize superframe scheduling on industrial wireless sensor networks. Journal of King Saud University - Computer and Information Sciences. 2020; ():1.
Chicago/Turabian StyleGandeva Bayu Satrya; Soo Young Shin. 2020. "Evolutionary computing approach to optimize superframe scheduling on industrial wireless sensor networks." Journal of King Saud University - Computer and Information Sciences , no. : 1.