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1st International Conference of Advanced Computing and Informatics, ICACIN 2020

作者： Alzighaibi, Sara Bouaziz, Rahma Kammoun, Slim Information System Department College of Computer Science and Engineering Taibah University Medina Saudi Arabia Computer Science Department College of Computer Science and Engineering Taibah University Medina Saudi Arabia ReDCAD University of Sfax Sfax Tunisia Research Laboratory of Technologies of Information and Communication & Electrical Engineering University of Tunis Tunis Tunisia

ISBN: (纸本)9789811560477

Sight is one of the major senses that allows people to travel safely, freely, and independently of others. In their daily life, visually impaired people are confronting challenging tasks such as reading or writing. Navigation and direction finding, particularly in the unfamiliar environment, are remaining as one of the main issues for visually impaired (VI) individuals. Several ways have been emerged to help VI orientation and mobility such as electronic orientation aids which can be further studied and developed. This work aims to improve VI navigation by proposing a new tactile interface that will be designed and implemented with the use of vibrators and Arduino board. The proposed interface targets to increase the quality of life and independence for VI. Also, evaluation performed with VI pedestrian will give us further information and knowledge regarding haptic perceptions and effectiveness of such interface and interaction technique. © 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Navigation

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Analysis of unsaturation performance of IEEE 802.11 DCF with and without slow contention window decrease

Analysis of unsaturation performance of IEEE 802.11 DCF with...

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作者： Sakakibara, Katsumi Chikada, Shogo Yamakita, Jiro Faculty of Computer Science and System Engineering Okayama Prefectoral University Soja-shi 719-1197 Japan Okayama Prefectoral University Soja Japan Department of Communication Engineering Japan IEEE Japan of Japan Japan Department of Communication Engineering Okayama Prefectural University Soja Japan of Japan Japan United States

Most of analytical models proposed so far for the IEEE 802.11 distributed coordination function (DCF) focus on saturation performance. In this paper, we develop an analytic model for unsaturation performance evaluation of the IEEE 802.11 DCF with and without slow contention window decrease (SCWD). The model explicitly takes into account the carrier sensing mechanism and an additional backoff interval after successful frame transmission, both of which can be ignored under saturation conditions. Expressions are derived for throughput and delay characteristics by means of the equilibrium point analysis. The accuracy of our model is validated through computer simulation. Numerical results based on the IEEE 802.11b with CCK show that the SCWD can stably achieve approximately 20% performance gain over the normal 802.11 DCF under unsaturation conditions as well as saturation ones. Copyright © 2005 The Institute of Electronics, Information and communication Engineers.

关键词： Electric power distribution

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Operational and real-time team decision problems in the risk-averse transportation of dangerous goods by road

Operational and real-time team decision problems in the risk...

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2012 7th International Conference on system of systems engineering, SoSE 2012

作者： Roncoli, Claudio Sacile, Roberto Bell, Michael G.H. Department of Communication Computer and System Sciences University of Genova Genova Italy Department of Civil and Environmental Engineering Imperial College London London SW7 2BU United Kingdom

ISBN: (纸本)9781467329750

Dangerous goods transportation (DGT) is a relevant safety and security issue that has been treated in many papers in the last decades. Considering the significant damages that a DGT accident can cause, a DGT routing strategy is to avoid the worst case accident scenario, following a risk-averse behaviour. Game-theory is very useful in this context. Taking into account a DGT flow on a road network and the technologies for vehicle/infrastructure communication which are nowadays available, the overall context can be modelled as a system of systems, where a team of road segments concurs to find an optimal strategy to minimise the maximum risk on the territory. Two problems related to DGT are presented and preliminary formulations, at operational and at real-time level, are described. A solving method based on linear matrix inequalities is shown and first results are shown. © 2012 IEEE.

关键词： Linear matrix inequalities

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Integrating IPsec within OpenFlow Architecture for Secure Group communication

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ZTE communications 2014年第2期12卷 41-49页

作者： Vahid Heydari Fami Tafreshi Ebrahim Ghazisaeedi Haitham Cruickshank Zhili Sun Centre for Communication System Research (CCSR) University of Surrey Department of Systems and Computer Engineering Carleton University

Network security protocols such as IPsec have been used for many years to ensure robust end-to-end communication and are important in the context of SDN. Despite the widespread installation of IPsec to date, per-packet protection offered by the protocol is not very compatible with OpenFlow and tlow-like behavior. OpenFlow architecture cannot aggregate IPsee-ESP flows in transport mode or tunnel mode because layer-3 information is encrypted and therefore unreadable. In this paper, we propose using the Security Parameter Index （SPI） of IPsec within the OpenFlow architecture to identify and direct IPsec flows. This enables IPsec to conform to the packet-based behavior of OpenFlow architecture. In addition, by distinguishing between IPsec flows, the architecture is particularly suited to secure group communication.

关键词： IPsec OpenFlow secure group communication group domain of interpretation （GDOI） flow-based switching

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Robust Spectral Efficiency Maximization in 5G Networks Using Non-Linear Stochastic Precoding 2

Robust Spectral Efficiency Maximization in 5G Networks Using...

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2nd International Conference on Disruptive Technologies, ICDT 2024

作者： Ponnaian, Geetha Jayanthi, N. Sarasu, R. Sajitha, L.P. Ramalakshmi, R. Manimegalai, L. Department of Computer Science and Engineering Thandalam Chennai India Pallavaram Tamil Nadu Chennai600117 India Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences India R. M. K Engineering College Department of Computer Science and Business System Tamilnadu Kavaraipettai India Ramco Institute of Technology Department of Electronics and Communication Engineering Rajapalayam India R.M.K. College of Engineering and Technology Department of Electronics and Communication Engineering Chennai India

ISBN: (纸本)9798350371055

This research focuses on enhancing the spectral efficiency of 5G networks through the utilization of nonlinear stochastic precoding techniques. The proposed approach aims to mitigate the detrimental effects of channel impairments and noise by employing advanced precoding schemes that exploit the statistical properties of the wireless channel. By incorporating nonlinear precoding algorithms and stochastic optimization methods, the system can dynamically adapt to varying channel conditions, resulting in improved data transmission rates and overall spectral efficiency. Through extensive simulations and analysis, the effectiveness of the proposed method is demonstrated, showcasing its potential to significantly enhance the performance of 5G networks in real-world scenarios. © 2024 IEEE.

关键词： 5G networks channel impairments nonlinear stochastic precoding spectral efficiency stochastic optimization

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An authenticated spectrum acquirement and transmission of encrypted images over fusion centre

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Multimedia Tools and Applications 2024年 1-24页

作者： V, Thanikaiselvan Y, PiyaDessi S, Renuga devi Shanthini, S. Suba Mahalingam, Hemalatha S, Aashiq Banu R, Dhivya V.M, Padmapriya Amirtharajan, Rengarajan School of Electronics Engineering Vellore Institute of Technology Vellore Vellore India School of Information Technology Vellore Institute of Technology Vellore India Department of Electrical and Computer Engineering Faculty of Engineering King Abdulaziz University Jeddah22254 Saudi Arabia System Engineering Department Military Technological College Muscat Oman Department of Electronics and Communication Engineering Mepco Schlenk Engineering College Tamilnadu Sivakasi626005 India Department of Computer Sciences Marquette University MilwaukeeWI53233 United States School of Electrical & amp Electronics Engineering SASTRA Deemed University 613 401 Thanjavur India

These days, spectrum insufficiency is the most common issue. If the number of smartphone users who access the radio spectrum grows, the radio spectrum becomes increasingly scarce. Certain types of technology equipment are designed to work only within a specific spectrum range, and there is rivalry in specifications for various other applications. As a result, this paper effectively exploits a licensed user’s unused spectrum to reduce the crowded spectrum and eradicate the Radio spectrum shortage. Licensed primary users (PUs) and secondary users (SUs) would be accepted into a Fusion Centre (FC) based on a spectrum framework with authentication. The approved PUs begin by updating their information to FC1;thenceforth, encryption is performed on the information uploaded to FC1. This information from FC1 is stored in Cloud Storage after encryption using the Blowfish algorithm & De-oxy DNA, a fast encryption algorithm. Following that, FC2, connected to the same cloud environment, downloads the PU data uploaded. The spectrum is then allocated to the authenticated SU linked to FC2 based on signal conditions and priority. This proposed method also avoids any delay in the network and encryption by acquiring a fast encryption algorithm, making the system faster and avoiding the Primary User Emulation (PUE) attack. Later, the time taken for the Tiny Encryption Algorithm (TEA) and the Blowfish/DNA algorithm are compared to validate the run time for different input images. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024.

关键词： Authentication

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EEG based stress classification by using difference plots of variational modes and machine learning

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Journal of Ambient Intelligence and Humanized Computing 2023年第12期14卷 16347-16360页

作者： Salankar, Nilima Qaisar, Saeed Mian School of Computer Science University of Petroleum and Energy Studies Dehradun India Persistent System Limited IT Park Maharashtra Nagpur India Department of Electrical and Computer Engineering EFfat University Jeddah22332 Saudi Arabia Communication and Signal Processing Lab Energy and Technology Research Center Effat University Jeddah22332 Saudi Arabia

The recent trend in healthcare is to use the automated biomedical signals processing for an augmented and precise diagnosis. In this context, an original approach is presented for categorization of stress and non-stress classes by processing the multichannel Electroencephalogram (EEG) signals. The EEG signals are decomposed by using the "Empirical Mode Decomposition" (EMD) and "Variational Mode Decomposition" (VMD), respectively render the "Intrinsic Mode Functions" (IMFs) and Modes. The Second Order Difference Plots (SODPs) are traced for each IMF and Mode. Shapes of SODPs are used to discriminate the two intended categories. The feature space includes areas, Central Tendency Measures (CTMs) and means of SODPs. It is derived from first 7 IMFs and Modes. The identification of stress and non-stress categories is performed by using the robust machine learning algorithms namely, the Support Vector Machine (SVM), Boosting with Random Forest (RF) and Multilayer Perceptron Neural Network (MLPNN). The applicability is tested by using a publicly available EEG signals dataset, recorded during mental arithmetic test. A detailed evaluation is carried out at the subset, individual channel and lobes wise. Noteworthy highest accuracies of subset wise 99.89%, channel wise 98.89% and lobe wise 99.99% are obtained respectively. © 2022, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

关键词： Empirical mode decomposition

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A novel myocarditis detection combining deep reinforcement learning and an improved differential evolution algorithm

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CAAI Transactions on Intelligence Technology 2024年第6期9卷 1347-1360页

作者： Jing Yang Touseef Sadiq Jiale Xiong Muhammad Awais Uzair Aslam Bhatti Roohallah Alizadehsani Juan Manuel Gorriz Department of Computer System and Technology Faculty of Computer Science and Information TechnologyUniversiti MalayaKuala LumpurMalaysia Centre for Artificial Intelligence Research(CAIR) Department of Information and Communication TechnologyUniversity of AgderGrimstadNorway Department of Creative Technologies Air UniversityIslamabadPakistan School of Information and Communication Engineering Hainan UniversityHaikouHainanChina Institute for Intelligent Systems Research and Innovation(IISRI) Deakin UniversityWaurn PondsVictoriaAustralia Data Science and Computational Intelligence Institute University of GranadaGranadaSpain

Myocarditis is a serious cardiovascular ailment that can lead to severe consequences if not promptly *** is triggered by viral infections and presents symptoms such as chest pain and heart *** detection is crucial for successful treatment,and cardiac magnetic resonance imaging(CMR)is a valuable tool for identifying this ***,the detection of myocarditis using CMR images can be challenging due to low contrast,variable noise,and the presence of multiple high CMR slices per *** overcome these challenges,the approach proposed incorporates advanced techniques such as convolutional neural networks(CNNs),an improved differential evolution(DE)algorithm for pre-training,and a reinforcement learning(RL)-based model for *** this method presented a significant challenge due to the imbalanced classification of the Z-Alizadeh Sani myocarditis dataset from Omid Hospital in *** address this,the training process is framed as a sequential decision-making process,where the agent receives higher rewards/penalties for correctly/incorrectly classifying the minority/majority ***,the authors suggest an enhanced DE algorithm to initiate the backpropagation(BP)process,overcoming the initialisation sensitivity issue of gradient-based methods like back-propagation during the training *** effectiveness of the proposed model in diagnosing myocarditis is demonstrated through experimental results based on standard performance ***,this method shows promise in expediting the triage of CMR images for automatic screening,facilitating early detection and successful treatment of myocarditis.

关键词： classification differential evolution myocarditis reinforcement learning

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Air embolism protecting system for safe intravenous therapy

Air embolism protecting system for safe intravenous therapy

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2012 IEEE Symposium on Humanities, Science and engineering Research, SHUSER 2012

作者： Manzoor, Kamran Ejaz, Waleed Ul Hasan, Najam Arif, Mustafa Lee, Seok Kim, Hyung Seok Department of Information and Communication Engineering Sejong University Seoul Korea Republic of Department of Computer Science National University of Computer and Emerging Sciences Islamabad Pakistan Sensor System Research Center Korea Institute of Science and Technology Seoul Korea Republic of

ISBN: (纸本)9781467313100

Intravenous (IV) therapy has been included as an integral part of nurse's professional practice. Although it is an effective curing technique, it has some complications. Air embolism is one of such complications which may cause death of patients in some cases. In this paper, we have proposed an efficient, economic and reliable air embolism protecting system to save precious lives in case of air bubble insertion. The proposed system monitors the IV tube and when an air bubble even in fraction of millimeter gets introduced into the tube, detects it, indicates emergency and blocks the fluid flow to protect entrance of the air bubble into the human body. The proposed system has been evaluated on various IV solutions;results are very promising as the accuracy is more than or equal to 99% in every case thus supporting the implementation of the solution. Therefore, the system can be used for any type of IV solution. © 2012 IEEE.

关键词： Flow of fluids

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Combined CDMA-SDMA Performance Analysis and Code Assignment Algorithm

Combined CDMA-SDMA Performance Analysis and Code Assignment ...

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International Conference on Information and communication Technologies (ICICT)

作者： Nidhal Odeh Sabira Khatun Borhanuddin MohdAli Alyani Ismail Department of Computer and Communication System Engineering University Putra Malaysia Malaysia

This paper present a novel performance enhancement for combined code division multiple access (CDMA) and space division multiple access (SDMA) scheme using SDMA grouping on top of code and spatial signatures. This paper is divided into two parts. In the first part, the system performance of combined CDMA-SDMA scheme is evaluated under Additive White Gaussian Noise (AWGN) channel for a single sectored cell. A fixed number of available codes L kept in a central pool can be utilized by K users, where, K>L. The same code can be assigned to a group of users according to their angle of arrival (which is known as SDMA group). Here, the analytical model of bit error rate (BER) for any arbitrary number of users has been derived and evaluated. In the second part of this paper, a simple code assignment algorithm is proposed to assign a already used code to a new user by which, the orthogonality between users can be maximized. The results show that the system capacity is noticeably improved with the combined system compared to the pure CDMA system. Further enhancement can be obtained when SDMA grouping is considered with orthogonal code assignment to users those belongs to different SDMA groups. Finally, the code assignment algorithm shows that high number of users can be accommodated by a fixed small number of codes.

关键词： Performance analysis Multiaccess communication Multiple access interference system performance AWGN Bit error rate communications technology systems engineering and theory Electronic mail Additive white noise

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