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Unprecedented smart algorithm for Uninterrupted SDN Services During DDoS Attack

Computers, Materials & Continua 2022年第1期70卷 875-894页

作者： Muhammad Reazul Haque Saw Chin Tan Zulfadzli Yusoff Kashif Nisar Rizaludin Kaspin Iram Haider Sana Nisar J.P.C.Rodrigues Bhawani Shankar Chowdhry Muhammad AslamUqaili Satya Prasad Majumder Danda B.Rawat Richard Etengu Rajkumar Buyya Faculty of Computing&Informatics Multimedia UniversityPersiaranMultimediaCyberjaya63100SelangorMalaysia Faculty of Engineering Multimedia UniversityPersiaran MultimediaCyberjaya63100SelangorMalaysia Faculty of Computing and Informatics University Malaysia SabahJalan UMSKota Kinabalu Sabah88400Malaysia Telekom Malaysia Research&Development TM Innovation Centre63000CyberjayaSelangorMalaysia Federal University of Piauí(UFPI) TeresinaPIBrazil Instituto de Telecomunica珲es 6201-001Covilh?Portugal National Center of Robotics and Automation-Condition Monitoring Systems Lab MUETJamshoroPakistan Department of Electrical and Electronic Engineering BUETDhaka1205Bangladesh Department of Electrical Engineering and Computer Science Data Science and Cybersecurity CenterHoward UniversityWashingtonDCUSA Cloud Computing and Distributed Systems(CLOUDS)Laboratory School of Computing and Information SystemsThe University of MelbourneMelbourneVIC 3053Australia

In the design and planning of next-generation Internet of Things(IoT),telecommunication,and satellite communication systems,controller placement is crucial in software-defined networking(SDN).The programmability of the SDN controller is sophisticated for the centralized control system of the entire ***,it creates a significant loophole for the manifestation of a distributed denial of service(DDoS)attack ***,recently a Distributed Reflected Denial of Service(DRDoS)attack,an unusual DDoS attack,has been ***,minimal deliberation has given to this forthcoming single point of SDN infrastructure failure ***,recently the high frequencies of DDoS attacks have increased *** this paper,a smart algorithm for planning SDN smart backup controllers under DDoS attack scenarios has *** proposed smart algorithm can recommend single or multiple smart backup controllers in the event of DDoS *** obtained simulated results demonstrate that the validation of the proposed algorithm and the performance analysis achieved 99.99%accuracy in placing the smart backup controller under DDoS attacks within 0.125 to 46508.7 s in SDN.

关键词： SDN smart algorithm RTZLK-DAASCP DDoS attack DRDoS

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smart algorithm in wireless networks for video streaming based on adaptive quantization

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CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE 2023年第9期35卷

作者： Taha, Miran Ali, Aree Univ Sulaimani Coll Sci Dept Comp Sci Sulaymaniyah Iraq

Nowadays, smart multimedia network services have become crucial in the healthcare system. The network parameters of Quality of Service (QoS) are widely affecting the efficiency and accuracy of multimedia streaming in wireless environments. This paper proposes an adaptation framework model, which makes a relation between the QP (quantization parameter) in H.264 and H.265 codecs and the QoS of 5G wireless technology. Besides, the effect of QP and packet loss have been studied because of their impact on video streaming. Packet loss of 5G wireless network characteristic is emulated to determine the impact of QP on the received video quality using objective and subjective quality metrics such as PSNR (peak signal to noise ratio), SSIM (structure similarity), and DMOS (differential mean opinion score). In this research, a Testbed is implemented to stream the encoded video from the server to the end users. The application model framework has automatically evaluated the QoE (Quality of Experience). Accordingly, the model detects the defect of network packet loss and selects the optimum QP value to enhance the QoE by the end-users. The application has been tested on low and high video motions with full high definition (HD) resolution (1920 x 1080) which were taken from (). Test results based on the objective and subjective quality measurements indicate that an optimal QP = 35 and QP = 30 have been chosen for low and high motion respectively to satisfy user QoE requirements.

关键词： Adaptative quantization Packet loss QoE smart algorithm Wireless network

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smart Write algorithm to Enhance Performances and Reliability of an RRAM Macro

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IEEE JOURNAL OF SOLID-STATE CIRCUITS 2024年第9期59卷 3045-3057页

作者： Giraud, Bastien Ricavy, Sebastien Laffond, Cyrille Sever, Ilan Gherman, Valentin Lepin, Florent Diallo, Mariam Zenati, Khadija Dumas, Sylvain Guille, Olivier Vershkov, Maxim Bricalli, Alessandro Piccolboni, Giuseppe Noel, Jean-Philippe Samir, Anass Pillonnet, Gael Thonnart, Yvain Molas, Gabriel Univ Grenoble Alpes CEA List F-38000 Grenoble France Univ Grenoble Alpes CEA Leti F-38000 Grenoble France Weebit Nano Ltd IL-4527713 Hod Hasharon Israel

This article presents a comprehensive assessment of the impact of various design assist techniques on the inherent performance and reliability of native resistive RAM (RRAM) on silicon. The collaborative optimization of design and technology plays a crucial role in replacing conventional flash memory as the leading solution. We showcase that employing read-before-write, current-limitation, and write-termination techniques results in reductions of power consumption during programming operations by 47%, 56%, and 13%, respectively. Through their combination with write verification and error correction code mechanisms, these enhancements collectively achieve an 83% reduction in energy consumption and a notable 55% decrease in access time. These advancements are made possible by the introduction of a novel smart write algorithm (SWA). Leveraging a representative 128-kb RRAM macro implemented in 130-nm CMOS technology, this study significantly contributes to the feasible integration of RRAM for embedded applications. The experimental assessments on silicon validate the increased reliability, with a demonstrated 28.1-mu A read margin after undergoing 1 million cycles without encountering any read errors, maintaining a bit error rate (BER) below 10(-7) .

关键词： Adaptive and reconfigurable systems error correction code (ECC) non-volatile memory smart algorithm variant-tolerant

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A smart algorithm for multi-criteria optimization of model sequencing problem in assembly lines

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ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING 2020年 61卷 101844-000页

作者： Rauf, Mudassar Guan, Zailin Sarfraz, Shoaib Mumtaz, Jabir Shehab, Essam Jahanzaib, Mirza Hanif, Muhammad Huazhong Univ Sci & Technol Sch Mech Sci & Engn State Key Lab Digital Mfg Equipment & Technol Wuhan 430074 Hubei Peoples R China Cranfield Univ Sch Aerosp Transport & Mfg Mfg Dept Cranfield Beds England Nazarbayev Univ Sch Engn Astana Kazakhstan Univ Engn & Technol Taxila Fac Ind Engn Taxila Pakistan Huazhong Univ Sci & Technol Sch Comp Sci Wuhan 430074 Hubei Peoples R China

Assembly Lines (ALs) are used for mass production as they offer lots of advantages over other production systems in terms of lead time and cost. The advent of mass customization has forced the manufacturing industries to update to Mixed-Model Assembly Lines (MMALs) but at the cost of increased complexity. In the real world, industries need to determine the sequence of models based on various conflicting performance measures/criteria. This paper investigates the Multi-Criteria Model Sequencing Problem (MC-MSP) using a modified simulation integrated smart Multi-Criteria Nawaz, Enscore, and Ham (SMC-NEH) algorithm. To address the multiple criteria, a modified simulation integrated smart Multi-Criteria Nawaz, Enscore, and Ham (SMC-NEH) algorithm was developed by integrating a priori approach with NEH algorithm. Discrete Event Simulation (DES) was used to evaluate each solution. A mathematical model was developed for three criteria: flow time, makespan and idle time. Further, to validate the effectiveness of the proposed SMC-NEH a case study and Taillard's benchmark instances were solved and a Multi-Criteria Decision-Making (MCDM) analysis was performed to compare the performance of the proposed SMC-NEH algorithm with the traditional NEH algorithm and its variants. The results showed that the proposed SMC-NEH algorithm outperformed the others in optimizing the conflicting multi criteria problem.

关键词： Multi-criteria optimization NEH algorithm Assembly Lines Mixed-Model Sequencing smart algorithm

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Proton Exchange Membrane Fuel Cell- A smart Drive algorithm

Proton Exchange Membrane Fuel Cell- A Smart Drive Algorithm

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International Conference on Green Energy and Conversion Systems (GECS)

作者： Derbeli, Mohamed Sbita, Lassaad Farhat, Maissa Barambones, Oscar Univ Gabes Natl Engn Sch Gabes Dept Elect Automat Gabes Tunisia Amer Univ Ras Al Khaimah Dept Elect Elect & Commun Engn Ras Al Khaymah U Arab Emirates Univ Basque Country Dept Ingn Sistemas & Automat Escuela Univ Ingn Vitoria Spain

ISBN: (纸本)9781509062874

Considering limited ability of Proton Exchange Membrane Fuel Cell (PEMFC) systems to produce power, it is necessary to provide conditions, in which, the maximum power of the PEMFC can be achieved. The maximum power point tracker has an important role in increasing the efficiency of the PEMFC. One of its difficulties is rapid changes in operating conditions which affects on the maximum power point. This paper presents a smart algorithm applied to DC/DC boost converter for extracting the maximum power from the PEMFC. In order to verify the performance of the proposed method, simulations are performed in MATLAB/SIMULINK environment. A comparison of results indicates that the proposed method has considerable advantages compared to conventional perturb and observe (P&O).

关键词： PEMFC Boost converter smart algorithm P&O

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Control and optimization of a hybrid solar PV - Hydro power system for off-grid applications using particle swarm optimization (PSO) and differential evolution (DE)

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ENERGY REPORTS 2023年 10卷 4253-4270页

作者： Iweh, Chu Donatus Akupan, Ebunle Rene Univ Abomey Calavi Ecole Polytech Abomey Calavi Lab Energet & Mecan Appl LEMA 01 BP 2009 Cotonou Benin Univ Buea Fac Engn & Technol FET POB 63 Buea Cameroon

The use of artificial intelligence (AI) - based tools in the optimization of renewable energy (RE) systems is increasing. These tools could even be more useful to developing countries like Cameroon with abundant RE resources, yet low rural electrification rate. However, the optimization of these energy systems especially in hybrid forms is still a challenge. This paper uses an AI-based Particle Swarm Optimization (PSO) and Differential Evolution (DE) for the design and optimization of a stand-alone hybrid solar PV - hydro-battery power system. These algorithms were developed using the MATLAB software. The proposed smart algorithms ensure that the load is met at a minimum levelized cost of energy (LCOE) and acceptable loss of power supply probability (LPSP). After simulation, DE gave an optimum LPSP of 0.0499 and optimum LCOE of 0.06192 $/kWh after the 19th iteration under set operational limits while PSO gave an optimum LPSP of 0.0492 and optimum LCOE of 0.06358 $/kWh after the 40th iteration. The optimal net present value (NPC) obtained from the PSO and DE were USD $ 96,175.26 and USD $ 93,958.07 respectively. While DE gave a lesser LCOE than PSO, the LPSP obtained using the PSO technique was smaller, signifying more system reliability. The optimum system size of DE showed the least LCOE with the proposed capacities of 1 kW PV, 33.96 kW hydropower and zero battery. The optimized system ensures a proper power management within the hybrid system. An appraisal of the two algorithms showed that the DE tool is accurate and a better option than PSO in terms of cost and speed of convergence. Further statistical analysis revealed that PSO was more robust. The optimal cost function obtained from both algorithms is acceptable for rural electrification projects.

关键词： MATLAB LCOE LPSP smart algorithm Artificial Intelligence Rural Electrification Cameroon System Reliability Cost Function

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An efficient software defined network controller based routing adaptation for enhancing QoE of multimedia streaming service

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MULTIMEDIA TOOLS AND APPLICATIONS 2023年第22期82卷 33865-33888页

作者： Taha, Miran Univ Sulaimani Coll Sci Dept Comp Sci Sulaymaniyah Iraq

SDN (Software-Defined Networks) is a new network communication prototype. SDN can control the wide range of network activities and its responsibilities to select an optimum route for end-users. Recent studies are focusing on issues regarding routing congestion and delay of packets within SDNs. In this research work, an efficient and smart-based algorithm is proposed to change the directions of packets in SDN networks. The proposed model estimates the cost of the given paths in networks depending on five criteria;adaptive network packet size, accurate packet numbers, the overall required time interval, QoS (Quality of Service) link capacity (bandwidth), and the number of hops (shortest path). In this way, the optimal paths from sender to receiver can be easily determined. This mechanism allows the SDN controller to minimize the decision time that is needed for selecting the flows. According to the aforementioned criteria, a dataset has been created which contains information about routing delay. From the proposed model, three criteria which are packet size, number, and time have been used to find the optimal packet delay to be used later in the model to find the cost of each path. A benchmark comparison between state-of-the-art and the suggested algorithm reveals that the time consumption of selecting an optimal recovery path has a significant delay reduction which is estimated to be a few milliseconds. Consequently, it can reduce bottleneck routes and resource utilization. Experimental results indicate that the proposed algorithm has increased the QoE (Quality of Experience) of both objective and subjective video *** model reduced the delay time of route selection up to 96.3% and this leads to end-user satisfaction.

关键词： smart algorithm Efficiency SDN Video streaming QoE QoS

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Benefits of Design Assist Techniques on Performances and Reliability of a RRAM Macro

Benefits of Design Assist Techniques on Performances and Rel...

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15th IEEE International Memory Workshop (IMW)

作者： Giraud, B. Ricavy, S. Moursy, Y. Laffond, C. Sever, I. Gherman, V. Pezzin, M. Lepin, F. Diallo, M. Zenati, K. Dumas, S. Vershkov, M. Bricalli, A. Piccolboni, G. Noel, J. P. Samir, A. Pillonnet, G. Thonnart, Y. Molas, G. Univ Grenoble Alpes CEA List F-38000 Grenoble France Weebit Nano Ltd Hod Hasharon Israel

ISBN: (纸本)9781665474597

This paper presents different design assist techniques and demonstrates their impact on enhancing the intrinsic RRAM performance. We show that the read-before-write, current-limitation and write-termination techniques reduce by -47%, -56% and -13% the power consumption during the writing process, respectively. Combined with write verification and error correction code, the overall improvements are 87% in energy saving and -55% on access time. Based on representative RRAM macro (130nm CMOS), statistic (128kb) and endurance (1M cycles) characterizations, this works contributes to accelerate RRAM industrial adoption by highlighting the design-technology co-optimization contribution.

关键词： Non-volatile memory ECC smart algorithm Adaptive and Reconfigurable Systems Variant-tolerant

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A QoE adaptive management system for high definition video streaming over wireless networks

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TELECOMMUNICATION SYSTEMS 2021年第1期77卷 63-81页

作者： Taha, Miran Canovas, Alejandro Lloret, Jaime Ali, Aree Univ Politecn Valencia Integrated Management Coastal Res Inst Valencia Spain Univ Sulaimani Dept Comp Coll Sci Sulaymaniyah Iraq Univ Halabja Comp Dept Halabja Iraq

The development of the smart devices had led to demanding high-quality streaming videos over wireless communications. In Multimedia technology, the Ultra-High Definition (UHD) video quality has an important role due to the smart devices that are capable of capturing and processing high-quality video content. Since delivery of the high-quality video stream over the wireless networks adds challenges to the end-users, the network behaviors 'factors such as delay of arriving packets, delay variation between packets, and packet loss, are impacted on the Quality of Experience (QoE). Moreover, the characteristics of the video and the devices are other impacts, which influenced by the QoE. In this research work, the influence of the involved parameters is studied based on characteristics of the video, wireless channel capacity, and receivers' aspects, which collapse the QoE. Then, the impact of the aforementioned parameters on both subjective and objective QoE is studied. A smart algorithm for video stream services is proposed to optimize assessing and managing the QoE of clients (end-users). The proposed algorithm includes two approaches: first, using the machine-learning model to predict QoE. Second, according to the QoE prediction, the algorithm manages the video quality of the end-users by offering better video quality. As a result, the proposed algorithm which based on the least absolute shrinkage and selection operator (LASSO) regression is outperformed previously proposed methods for predicting and managing QoE of streaming video over wireless networks.

关键词： Adaptive streaming QoE assessment and management smart algorithm Prediction model Wireless network

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smart system for children's chronic illness monitoring

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INFORMATION FUSION 2018年 40卷 76-86页

作者： Sendra, Sandra Parra, Lorena Lloret, Jaime Tomas, Jesus Univ Granada Telemat & Commun Dept TSTC Dept Signal Theory Granada Spain Univ Politecn Valencia Inst Invest Gest Integrada Zonas Costeras IGIC Valencia Spain

Sick children need a continuous monitoring, but this involves high costs for the government and for the parents. The use of information and communication technologies (ICT) jointly with artificial intelligence and smart devices can reduce these costs, help the children and assist their parents. This paper presents a smart architecture for children's chronic illness monitoring that will let the caregivers (parents, teachers and doctors) to remotely monitor the health of the children based on the sensors embedded in the smartphones and smart wearable devices. The proposed architecture includes a smart algorithm developed to intelligently detect if a parameter has exceeded a threshold, thus it may imply an emergency or not. To check the correct operation of this system, we have developed a small wearable device that is able to measure the heart rate and the body temperature. We have designed a secure mechanism to stablish a Bluetooth connection with the smartphone. In addition, the system is able to perform the data fusion in both the information packetizing process, which contributes to improve the protocol performance, and in the measured values combination, where it is used a stochastic approach. As a result, our system can fusion data from different sensors in real-time and detect automatically strange situations for sending a warning to the caregivers. Finally, the consumed bandwidth and battery autonomy of the developed device have been measured. (C) 2017 Elsevier B.V. All rights reserved.

关键词： smart algorithm Chronic diseases Child monitoring eHealth Wearable devices

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